JP2004177359A - Method and device for acoustically monitoring operating state of facility - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method with which the operating state of a facility to be monitored can be monitored acoustically, by accurately distinguishing operating sounds from the facility from noise, such as operating sounds from other peripheral facilities, or the like, by accurately collecting the operating sounds from the facility. <P>SOLUTION: After first and second acoustic spectrum information is obtained, by performing frequency analyses on first and second sound volume signals obtained, by collecting the operating sounds from the facility 3 to be monitored by means of a first sound-sensitive sensor 2 provided relatively close to the facility and a second sound-sensitive sensor 4 provided relatively far from the facility, the peak information in the first sound spectrum information is stored in a data-storing section. Then monitoring location of the sensor 4 for the operating sounds is decided by extracting the first and second sound volume output values at the peak frequency from the first and second sound spectrum information and finding correlations between the sound volume output values, by comparing the values with each other and stored in the data storing section. Thereafter, the facility 3 is monitored, by installing the second sensor 4 to the monitoring location. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a facility operation state acoustic monitoring method and a facility operation state acoustic monitoring device that collect and monitor facility operation sounds.
[0002]
[Prior art]
Monitoring of operating conditions of facilities such as power plants, chemical plants, and equipment is performed by monitoring personnel who listen to operating sounds unique to each facility. That is, as a method of confirming the operation state of equipment performed by daily patrols such as patrols and inspections, acoustic diagnosis utilizing human hearing is widely used because of its easy handling.
[0003]
However, acoustic diagnosis utilizing hearing requires a sufficient storage of the loudness and timbre of sound generated from equipment during normal operation, and must be a skilled observer who constantly monitors equipment. Could not be done. In addition, it is difficult to transmit the acoustic diagnosis state, emotion, and result determined by a skilled observer to another observer, so that it is easy to handle as a diagnostic method for detecting occurrence of an abnormality, but it is also difficult to pass on technology. For this reason, in order to solve the problem of the conventional acoustic diagnosis, an approach of the acoustic diagnosis that can be easily handled by a person other than a skilled technician has been started.
[0004]
As an acoustic diagnosis method that does not depend on people, instead of the auditor's auditory judgment, specific sounds generated from each facility are recorded and frequency analysis is performed, and the volume and timbre of normal sounds generated from the equipment are quantitatively determined. And a method of judging whether or not an abnormality has occurred in the equipment by comparing with a signal in a state considered to be an abnormal sound set in advance.
[0005]
However, in large plants, the patrol inspection of equipment is still carried out regularly by supervisors. It is necessary to carry a sound diagnostic device to collect the sound of the monitored equipment. At this time, since the microphone is recorded at a position at a certain distance from the monitored facility, the acoustic diagnostic instrument attenuates the detected operating noise as the distance from the monitored facility increases. On the other hand, since noise such as environmental noise increases, the S / N ratio deteriorates and the operating sound of the monitored equipment is accurately captured. It was difficult to perform accurate monitoring.
[0006]
As a countermeasure against ambient noise, a monitoring method has been proposed in which a peak frequency of abnormal sound of equipment is set as a monitoring frequency, and an external sound at this monitoring frequency is removed and monitored (for example, see Patent Document 1). Furthermore, there is described an apparatus that monitors the loudness of a sound as a sound signal level or the timbre as a frequency component and detects an abnormality in information collected by a microphone or the like (for example, see Patent Document 2).
[0007]
[Patent Document 1]
JP-A-9-229762 ([0023] to [0028] FIGS. 4 and 5).
[Patent Document 2]
JP-A-11-118593 ([0004], [0005]).
[0008]
[Problems to be solved by the invention]
However, from the supervisor who manages the equipment, many other facilities are operating near the monitored equipment in the equipment such as various plants and various equipments. There is a need for a monitoring technique that can accurately determine whether there is an abnormality in a target facility.
[0009]
The present invention has been made in order to solve such a conventional problem, and it is possible to accurately collect the operation sound from the monitoring target equipment, and to accurately monitor the noise from the noise such as the operation sound from other peripheral equipment. It is an object of the present invention to provide a facility operation state monitoring method and a facility operation state sound monitoring device that can be used.
[0010]
[Means for Solving the Problems]
In order to achieve the above object, the present invention provides a facility operation state acoustic monitoring method and a facility operation state acoustic monitoring apparatus having the following configurations.
[0011]
The method of monitoring the operating state of a facility according to the present invention includes the steps of: collecting a running sound specific to the monitored facility for a predetermined period by a first sound sensor and outputting a first running sound signal; Outputting a first acoustic spectrum signal indicating a relationship between a frequency and a volume output value by performing frequency analysis processing on the first driving sound signal, and a peak frequency at which the volume output value indicates a peak from the first acoustic spectrum signal And extracting a first volume output value of the peak frequency as monitoring information of a normal operation state and storing the information in a storage device in advance, and at a monitoring position farther from the monitoring target facility than the first sound sensor. Providing a second sound sensor and collecting the operation sound of the monitored facility for the predetermined period to output a second operation sound signal; Outputting a second acoustic spectrum signal indicating a relationship between a frequency and a volume output value by performing an analysis process; and converting the second volume output value of the peak frequency read from the storage device to the second acoustic spectrum. Extracting from a signal, and obtaining a correlation between the first sound volume output value and the second sound volume output value read from the storage device to determine an operation state of the monitored facility by the second sound sensor. Outputting monitoring position information to be monitored, storing the monitoring position information in the storage device, and, at the time of monitoring, providing a monitoring sound sensor at the position of the monitoring position information of the monitored facility, and monitoring. Comparing the monitoring output of the monitoring sound sensor with the monitoring information of the normal operation state stored in the storage device to determine whether or not the monitoring target equipment is abnormal. Characterized by comprising comprises the steps of view.
[0012]
According to the present invention, since the peak frequency obtained from the driving sound information from the sound sensor provided near the monitored equipment is monitored as the monitoring frequency by the second sound sensor output signal, the driving sound from the monitored equipment is monitored. Can be collected accurately, and can be monitored while being accurately distinguished from driving sounds from other surrounding facilities. Further, since the monitoring position information is output, when the monitoring person who monitors the equipment patrols and monitors, by bringing the second sound sensor, the second sensing sensor is provided at the monitoring position in the monitoring target equipment. A sound sensor can be provided, and monitoring can be performed under the same conditions regardless of whether the monitor is fixed or the monitor is brought by the monitor.
[0013]
Since the installation position of the first sound sensor is provided so as to be in contact with the container wall surface of the monitored equipment, the operating sound from the monitored equipment can be accurately collected, and the environmental sound such as the operating sound from other peripheral equipment can be collected. Can be accurately distinguished and monitored.
[0014]
The monitoring position information is obtained by performing at least one of a deviation process of a first volume output value and a second volume output value at the peak frequency from a first acoustic spectrum signal and a second acoustic spectrum signal, and a coherence analysis process. Since the obtained information is obtained, the installation position of the second sound sensor can be automatically confirmed each time monitoring is performed.
[0015]
The monitoring position information is used when the information obtained by at least one of the deviation processing and the coherence analysis processing between the first sound volume output value and the second sound volume output value falls within a predetermined range. , The distance information from the storage device to the second sound sensor, the monitoring position information is read from the storage device each time monitoring is performed, and the second sound sensor can be installed at the read monitoring position. Even if it is done, it can be monitored under the same conditions.
[0016]
The monitoring of the monitored facility by the second sound sensor is performed by monitoring the volume output value of the peak frequency obtained from the monitoring output by the second sound sensor and the normal operation state stored in the storage device. Compared with the monitoring information, when the output of a different signal abnormal information is output and displayed on the display device and stored in the storage device, so even the second sound sensor at a position distant from the monitored equipment Since the determination is made based on the sound volume output value based on the peak frequency extracted from the first sound sensor close to the monitored facility, the operating sound of the monitored facility can be monitored stably without being affected by noise.
[0017]
The extraction of the peak frequency is to output a frequency at which the volume output value shows a peak from a curve diagram of the frequency with respect to the volume output value obtained by performing frequency analysis processing on the first sound sensor output signal. Therefore, the operating sound of the monitored equipment is the peak frequency from the direct or nearby position, the operating sound from the monitored equipment can be collected accurately, and accurately distinguished from the environmental sound such as the operating sound from other surrounding equipment. Can be monitored.
[0018]
The output of the monitoring position information is based on the frequency characteristic curve information for each sound volume signal created by performing frequency analysis processing on the first and second sound sensor output signals. Since the monitoring position information of the second sound sensor is output by performing the coherence analysis processing, the second sound sensor is installed at the monitoring position at any time to monitor the operating state of the monitored equipment under the same conditions. can do.
[0019]
Since the monitoring position information is distance information from the monitoring target equipment to the second sound sensor, by storing this distance information, the monitoring can be performed in a state close to the same state at all times even when the monitor is changed. The operation state of the target equipment can be monitored.
[0020]
Since the monitoring information of the normal operation state and the monitoring position information of the second sound sensor are displayed on a display device, the monitoring position information is read from the storage device, and displayed on a display device, and the monitoring is performed. The second sound sensor can be installed at a predetermined position. Therefore, it is possible to monitor the operating state of the monitored facility by the second sound sensor under the same conditions as in the case where the first sound sensor is brought into contact with the monitored facility, regardless of the observer. it can.
[0021]
The monitoring of the monitored facility by the second sound sensor is performed by monitoring the volume output value of the peak frequency obtained from the monitoring output by the second sound sensor and the normal operation state stored in the storage device. Compare with the monitoring information, and output the abnormal information when a different signal is output, and display it on the display device and store it in the storage device, so that when the first sound sensor is brought into contact with the monitored equipment, Similarly, the occurrence of the operating condition abnormality can be accurately monitored by the second sound sensor.
[0022]
The equipment operation state acoustic monitoring device of the present invention collects, using a first sound sensor, operation sound specific to the monitored equipment whose operation state is monitored from the operation sound, and uses the first sound sensor to monitor the monitored object. A first acoustic spectrum showing a relationship between a frequency and a volume output value by performing frequency analysis processing on a first volume signal and a second volume signal collected by a second sound sensor provided at a monitoring position remote from the facility. And second sound spectrum information, peak frequency information in the first sound spectrum, and a first sound volume output value at the peak frequency in the first sound spectrum are extracted and information indicating a normal operation state is stored. A storage device, a second volume output value of the peak frequency is extracted from the second acoustic spectrum information, and a ratio between the first volume output value and the second volume output value is calculated. If there is a correlation, means for storing the position of the second sound sensor in the storage device as the monitoring position of the monitoring target equipment, and reading the monitoring position information stored in the storage device, The operating sound of the monitored facility is monitored by the provided second sound sensor, and a monitoring volume signal monitored by the second sound sensor and data indicating the normal operation state stored in the storage device. And means for determining the presence or absence of an abnormality in comparison with the above.
[0023]
ADVANTAGE OF THE INVENTION According to this invention, even if there is another equipment in operation around, the operating noise from the monitoring target equipment can be accurately collected, and the operating noise from other peripheral equipment can be accurately distinguished and monitored.
[0024]
Since the peak frequency in the first volume signal is a frequency at which the volume output value indicates a peak in a curve diagram showing a relationship between the frequency and the volume output value, a signal having a large S / N ratio as compared with ambient noise. Thus, it is possible to accurately install the second sound sensor at the monitoring position and monitor the monitoring target facility.
[0025]
BEST MODE FOR CARRYING OUT THE INVENTION
Next, an embodiment of a facility operation state monitoring method according to the present invention will be specifically described with reference to FIGS. First, a description will be given with reference to the flowchart of FIG. 1 in order to understand the entire operation state monitoring method of the equipment.
[0026]
The feature of this equipment operation state monitoring method is that a first sound sensor is provided in contact with or in proximity to the equipment to be monitored in order to detect the operation sound unique to the equipment to be monitored relatively unaffected by ambient noise. To obtain monitoring data for the second sound sensor. Further, the feature of the method for monitoring the operating state of the equipment is that, under substantially the same conditions as the state monitored by the first sound sensor, the second position is located at a monitoring position farther from the monitored equipment than the first sound sensor. That is, a sound sensor 4 is provided so that monitoring can be performed. Furthermore, the feature of the equipment operating state monitoring method is that a peak frequency is obtained from the operating sound signal of the first sound sensor output to output substantially the same condition as the state monitored by the first sound sensor, This peak frequency is determined as an operation sound signal, and a monitoring signal of the second sound sensor used for monitoring and a determination signal for monitoring the operation sound of the monitored equipment are output.
[0027]
The method 1 for monitoring the acoustics of the operating state of the equipment shown in FIG. 1 is to install the first sound sensor 2 directly or in close proximity to the equipment 3 to be monitored and to collect the operating sound unique to the equipment 3 to be monitored. Monitoring data is collected so that monitoring can be performed by the second sound sensor 4 provided at a monitoring position farther from the monitoring target facility 3 than the first sound sensor under substantially the same conditions as the state. It comprises a monitoring data collection step 5 and a monitoring step 6 for monitoring the operating state of the monitored facility 3 based on the collected monitoring data.
[0028]
The monitoring data collection step 5 collects the operation sound from the monitored facility 3 by the first sound sensor 2 provided relatively close to the monitored facility 3 and the second sound sensor 4 provided far away from the monitored facility 3. A driving sound collecting step 11 for outputting a driving sound signal, a peak frequency extracting step 12 for extracting a peak frequency indicating a peak of a first sound volume output value from an output signal of the first sound sensor 2, and a second The second sound volume output value of the peak frequency is extracted from the output signal of the sound sensor 4, and the operation state of the monitored facility 3 by the second sound sensor 4 is monitored from the first and second sound volume output values. A monitoring position information output step 13 for outputting the monitoring position information as monitoring data.
[0029]
The monitoring step 6 is a method of monitoring the operating state of the monitored facility 3 using only the second sound sensor 4 based on the monitoring data, and sets the second sound sensor 4 at the position of the monitoring position information. It comprises a monitoring start step 15 and a monitoring step 16 for monitoring the operating state of the monitoring target facility 3 by monitoring the volume output value of the peak frequency from the output signal of the second sound sensor 4.
[0030]
The monitoring target facility 3 is, for example, a facility such as a power plant, a chemical plant, or an apparatus, and is an operating device whose operating state is monitored. The first sound sensor 2 is an element that is provided directly or in the vicinity of the monitoring target portion of the monitoring target facility 3 and converts driving noise into an electric signal, and is, for example, an acceleration sensor, a piezoelectric sensor, a speaker, or the like. The vicinity of the monitoring target equipment 3 is a position directly in contact with or slightly away from a part of the monitoring target equipment 3 where a failure is particularly expected or directly on the container wall, and noise such as operation noise from other surrounding equipment. Is a position where the operation sound of the monitored facility 3 can be detected with a larger S / N ratio.
[0031]
The second sound sensor 4 is a sensor that is used for daily monitoring and is an element that converts the operation sound of the monitored facility 3 into an electric signal, for example, a microphone. It is provided at a position close to the monitored facility 3 in a safe passage, a safe zone, or the like. The second sound sensor 4 is provided at a position farther from the facility 3 to be monitored than the first sound sensor 2, and accordingly, the operation sound from surrounding equipment and the work sound of construction work are noise. As a result, the detected sound volume of the operation sound from the monitored facility 3 outputs a sound volume attenuated by a distant distance. Although the second sound sensor 4 in the monitoring data collection step 5 and the second sound sensor 4 in the monitoring step 6 are described with the same reference numerals, the same sound sensor may be used, or another sound sensor may be used. Alternatively, the second sound sensor 4 in the monitoring data collection step 5 is for outputting the monitoring position condition of the second sound sensor 4 in the monitoring step 6.
[0032]
The operation sound collecting step 11 outputs the operation sound of the monitored facility 3 as a signal that is larger than the environmental sound such as the operation sound and the work sound from other surrounding equipment. Therefore, the first sound sensor 2 and the second sound sensor 4 include, for example, a hood for giving directivity as means for outputting the operation sound of the monitored facility 3 at a good S / N ratio. It is desirable to be provided.
[0033]
The peak frequency extraction step 12 converts the output signal of the first sound sensor 2 into a digital signal, and then performs a frequency analysis process on the first acoustic spectrum of the characteristic curve diagram showing the relationship between the volume output value and the frequency. And a peak frequency at which the first sound volume output value has a peak is extracted from the first acoustic spectrum. The peak frequency of the first acoustic spectrum is a frequency obtained from an operation sound signal collected from a position closest to the monitored facility 3, and is a characteristic sound of electrical information representing a characteristic of the operated sound of the monitored facility 3. is there.
[0034]
The monitoring position information output step 13 outputs the monitoring position information of the second sound sensor 4 and stores the same in the storage device as if substantially monitored by the first sound sensor 2. This is a step for enabling the sound sensor 4 to monitor the operation sound of the monitoring target facility 3. In the monitoring start step 15, only the second sound sensor 4 is installed at the monitoring position based on the monitoring position information stored in the storage device or at the monitoring position obtained based on the monitoring position information output step 13. The monitoring step 16 monitors the operating state of the monitored facility 3 by extracting a volume output value of the peak frequency from the operation sound signal detected by the second sound sensor 4 and monitoring the extracted volume output value. I do.
[0035]
That is, in order to prevent erroneous monitoring due to noise such as ambient environmental noise from the surroundings, the method 1 for monitoring the operating state of the equipment monitors the first sound sensor 2 directly contacting the monitoring target equipment 3 as basic data. The characteristic curve diagram showing the relationship between the frequency of the sound output value detected by the second sound sensor 4 provided at a relatively distant place and the characteristic of the operation sound of the target facility 3 at the peak frequency is shown in FIG. By monitoring the volume output value corresponding to the peak frequency from the characteristic curve diagram, the operation state of the monitoring target facility 3 that is strong against noise can be monitored. Monitoring the operation state of the monitoring target facility 3 that is resistant to noise means that abnormal operation of the monitoring target facility 3 can be detected without overlooking it.
[0036]
As a means for collecting the operation sound unique to the monitored equipment, the operation sound is generated when the first sound sensor is brought into contact with the monitored equipment and the housing of the monitored equipment is brought into contact with the first sound sensor at the monitoring position. When the peak frequency is different from the peak frequency during normal operation when the data is collected, it is desirable that there is no contact and the vicinity of the monitoring target sound generation unit of the monitoring target facility is used.
[0037]
Next, a specific embodiment of FIG. 1 will be described with reference to FIGS. 1 will be described using the same reference numerals. FIG. 2 is a circuit configuration diagram for explaining the monitoring data collection device 20 for performing the monitoring data collection step 5. In this embodiment, a monitoring data collection device 20 for outputting monitoring position information of a second sensory sensor 4 used for daily monitoring to monitor the operation state of the monitoring target equipment 3, An operation state acoustic monitoring device 21 for monitoring the operation state of the monitoring target equipment 3 based on the monitoring data obtained from the data collection device 20. An embodiment of the monitoring data collection device 20 is shown in FIG. 2, and an embodiment of the equipment operation state acoustic monitoring device 21 is shown in FIG.
[0038]
First, an embodiment of the monitoring data collection device 20 will be described. The operation state of the monitoring target facility 3 is monitored by the operation sound, and the operation sound is detected by the first sound sensor 2 and the second sound sensor 4. The first sound sensor 2 is set in the vicinity of the monitoring target in order to collect the operation sound unique to the monitoring target equipment 3. Provided in contact with The second sound sensor 4 is provided in a monitoring position, for example, a safety zone, which is farther from the monitoring target portion of the monitoring target facility 3 than the first sound sensor 2. For example, a microphone is used as the non-contact sound input device 26. Provided. The driving sound collecting step 11 is performed by the first sound sensor 2 and the second sound sensor 4. It is desirable that the period for collecting the operation sound of the monitored facility 3 by the first sound sensor 2 and the second sound sensor 4 be a predetermined period.
[0039]
An A / D conversion processing unit 34 for converting an analog signal into a digital signal is connected to an output terminal of the contact type sound input device 25, and an output terminal of the A / D conversion processing unit 34 converts the analog signal into a digital signal. It is connected to a frequency analysis processing unit 35 for creating an acoustic spectrum signal indicating a relationship between a frequency and a volume output value from the driving sound signal, for example, a frequency characteristic curve diagram for a sound pressure level as shown in FIG. An output terminal of the frequency analysis processing unit 35 includes a positive peak frequency extraction unit 36 for extracting a peak frequency of a waveform showing a peak characteristic representing a characteristic of the operation sound of the monitored facility 3 in the frequency characteristic curve diagram. It is connected. The output terminal of the positive peak frequency extraction unit 36 is connected to a coherence analysis processing unit 37 for outputting the monitoring position of the non-contact sound input device 26.
[0040]
On the other hand, an A / D conversion processing unit 41 for converting an analog signal into a digital signal is connected to an output terminal of the non-contact sound input device 26, and a digital signal is connected to an output terminal of the A / D conversion processing unit 41. An acoustic spectrum signal indicating the relationship between the frequency and the sound volume output value from the driving sound signal converted into the audio signal is connected to a frequency analysis processing unit 42 for creating a frequency characteristic curve diagram for the sound pressure level as shown in FIG. I have. The sound pressure level value of the frequency characteristic curve diagram of FIG. 4 is a sound pressure level that is attenuated by a distance corresponding to a far distance from the monitored facility 3 as compared with the peak value of the sound pressure level of the frequency characteristic curve diagram of FIG. Level has been detected.
[0041]
An output terminal of the frequency analysis processing unit 42 is connected to a pseudo peak frequency extraction unit 43 for outputting a sound pressure level corresponding to the peak frequency in the frequency characteristic curve diagram as a sound pressure level of the pseudo peak frequency. . An output terminal of the pseudo peak frequency extracting unit 43 is connected to a peak frequency deviation processing unit 44 for outputting a difference between the sound pressure level value of the peak frequency and the pseudo peak frequency. A measurement position pass / fail judgment processing unit 45 for outputting measurement position information of the non-contact sound input device 26 from outputs of the coherence analysis processing unit 37 and the peak frequency deviation processing unit 44 is connected.
[0042]
The equipment operation state acoustic monitoring device 21 is provided with a distance measuring device 47, for example, a laser distance measuring device, for measuring the distance between the monitoring target facility 3 and the non-contact acoustic input device 26. The measured distance information indicates a position for installing the non-contact sound input device 26 when monitoring the monitoring target facility 3. An A / D conversion processing unit 48 for converting the measured distance information into a digital signal is connected to an output terminal of the distance measuring device 47, and the distance information output from the A / D conversion processing unit 48 indicates whether the measurement position is good or bad. It is connected so as to be output to the determination processing unit 45. The output of each processing unit and extraction unit is connected to a storage device for storing, for example, a data storage unit 49 and a display device 50.
[0043]
Further, the equipment operation state acoustic monitoring device 21 displays information stored in the data storage unit 49 such as the name of the monitoring target facility 3, an installation location (address), a monitoring date and time, and a supervisor name, and displays the information on the display device 50. An input device 51 is provided for inputting content selection information and the like.
[0044]
Block diagrams other than the monitoring target equipment 3, the contact type sound input device 25, the non-contact type sound input device 26, the distance measuring device 47, the input device 51, and the display device 50 are surrounded by a dotted line, and the portion surrounded by the dotted line is , A computer, for example, a personal computer 52. When the personal computer 52 is used, each of the above-described operation procedures is controlled by a CPU (control device) 54 that operates according to a program stored in the memory 53 in advance. Thus, the monitoring data collection device 20 is configured.
[0045]
The contact-type sound input device 25 is a first sound sensor 2, for example, an acceleration sensor that converts a sound signal of a driving sound emitted from the monitored facility 3 into an electric signal as a driving sound signal. As a means for detachably attaching to the cover, there is, for example, a sensor or the like integrally provided with a magnet, a rod-shaped jig or the like. The non-contact type sound input device 26 is a portable sound sensor 4 that detects the sound signal of the driving sound emitted from the monitoring target facility 3 as a driving sound signal at a relatively distant position, for example, at a patrol position of a supervisor. For example, a microphone that is convenient and easy to operate is used.
[0046]
The distance measuring device 47 controls the distance measuring device 47 when the measurement position pass / fail determination processing section 45 outputs the monitoring position of the non-contact type sound input device 26, and the CPU 54 controls the contact type sound input device 25 or The distance to the non-contact acoustic input device 26 is measured, and the current distance information converted into a digital signal is transmitted to the measurement position pass / fail determination processing unit 45 that outputs the monitoring position of the non-contact acoustic input device 26. The distance measuring device 47 is not limited to the laser distance measuring device, but may be another distance meter or a tape measure. In this case, the measured distance is input from the input device 51 and registered in the data storage unit 49 as distance information. The distance information is information indicating the monitoring position of the non-contact type sound input device 26, and may be any information as long as the non-contact type sound input device 26 can be installed in the next monitoring. Information indicating the direction from the vehicle, distance, and the like.
[0047]
The CPU 54 stores the digitized driving sound signal, the distance information, and the like in the data storage unit 49 in association with the monitoring target facility 3, reads out when requested, and simultaneously controls the display device 50 to perform display. The input device 51 is a terminal for inputting input information such as the name of the monitored equipment 3, the location (address) where the monitored equipment is installed, the date and time of measurement, and the name of the monitor to the personal computer 52. The CPU 54 stores the input information input from the keyboard in the data storage unit 49 in association with the operating sound information of the monitored facility 3 and simultaneously displays the information on the display device 50.
[0048]
The A / D (analog / digital) conversion processing units 34 and 41 convert analog sound signals, which are the operating sound information of the monitored facility 3, detected by the contact sound input device 25 and the non-contact sound input device 26, into digital signals. It is converted into acoustic information in a format.
[0049]
The frequency analysis processing units 35 and 42 are those in which the CPU 54 analyzes the frequency of the digitized driving sound signal by fast Fourier transform and outputs an acoustic spectrum signal indicating the relationship between the frequency and the volume output value. A characteristic curve diagram showing the relationship between the sound pressure level and the frequency as shown in FIG. 4 is output. The relationship between the frequency and the sound volume output value is not limited to the graphs shown in FIGS. 3 and 4 and may be a table.
[0050]
The positive peak frequency extracting unit 36 extracts a peak frequency at which the sound pressure level shows a peak, for example, a plurality of peak frequencies, based on the acoustic spectrum of the contact-type acoustic input device calculated by the frequency analysis processing unit 35. In the frequency characteristic curve diagrams for the sound pressure levels as shown in FIGS. 3 and 4, the CPU 54 generates a waveform (Pmax) in which the sound pressure level protrudes in the positive direction.₁, Pmax₂, Pmax₃… Pmax_n) Is extracted and output to the coherence analysis processing unit 37, the pseudo peak frequency extraction unit 43, and the like, and is simultaneously stored in the data storage unit 49 and displayed on the display device 50.
[0051]
The positive peak frequency extractor 36 can be configured as shown in FIG. A peak frequency extracting unit 36a having a peak sound pressure level in FIG. 3, a frequency extracting unit 36b having a peak sound pressure level higher than the average sound pressure level in the entire frequency band in FIG. 6, and a specific frequency in FIG. Any one of the frequency extracting means 36c indicating the peak of the sound pressure level higher than the average value of the sound pressure level for each band can be selected according to the environment of the monitoring target facility 3. For example, the positive peak frequency extracting unit 36 selects the peak frequency extracting unit 36a when the distance between the adjacent monitoring target facilities 3 is large and the S / N ratio can be monitored by the non-contact acoustic input device 26. I do. When the distance between the adjacent monitoring target equipments 3 is short and the S / N ratio is poor due to the non-contact type sound input device 26, the positive peak frequency extracting unit 36 outputs a sound pressure level higher than the average sound pressure level for each specific frequency band. It is desirable to select the frequency extracting means 36c. In the case of an intermediate S / N ratio, it is desirable that the positive peak frequency extraction unit 36 selects the frequency extraction unit 36b that shows a peak of the sound pressure level higher than the average sound pressure level in the entire frequency band. The positive peak frequency extracting section 36 may be constituted by any one of the frequency extracting means 36a, 36b, 36c.
[0052]
As means for extracting a peak frequency based on an acoustic spectrum collected and processed by the contact-type acoustic input device 25, for example, as shown in FIG. 3, a method of extracting an arbitrary number of peak frequencies in descending order of frequency level from all analysis frequency bands. 6, a method of calculating an average value of all the analysis frequency bands as shown in FIG. 6 and extracting a frequency having a frequency level higher than the average value as a peak frequency, and a method of calculating an average value of each analysis frequency band as shown in FIG. A peak frequency is extracted by a method of calculating an average value and extracting a frequency having a frequency level higher than the average value as a peak frequency.
[0053]
As a result, the peak frequency is extracted from the acoustic spectrum collected and processed by the contact-type acoustic input device 25, as shown in FIG. By doing so, it is possible to extract a characteristic frequency component of the normal operation sound of the monitoring target facility 3. The peak frequency can be extracted by calculating the average value of the sound pressure levels in the entire analysis frequency band as shown in FIG. 6, and extracting a frequency having a sound pressure level higher than the average value as the peak frequency. Further, when the average value of the heights of the respective frequencies is calculated in the entire analysis frequency band, and a frequency higher than the calculated average value is set as a peak frequency, a range detectable by the non-contact sound input device 26 is derived. Data serving as an index can be extracted.
[0054]
The peak frequency extracting means 36a allows the CPU 54 to select the peak frequency Pmax from the highest frequency in all the analysis frequency bands in the frequency characteristic curve diagram for the sound pressure level shown in FIG.₁, Pmax₂, Pmax₃… Pmax_nIs extracted and output to the coherence analysis processing unit 37 and the pseudo peak frequency extraction unit 43.
[0055]
The frequency extracting means 36b, which indicates the peak of the sound pressure level higher than the average value of the sound pressure level in the entire frequency band, uses the CPU 54 to calculate the average value of the entire analysis frequency band in the frequency characteristic curve diagram for the sound pressure level shown in FIG. 1, the peak frequency Pmax higher than the straight line S indicating the calculated average value.₁, Pmax₂, Pmax₃… Pmax_nIs extracted and output to the coherence analysis processing unit 37 and the pseudo peak frequency extraction unit 43. A sound pressure level frequency extracting means for each specific frequency band.
[0056]
The frequency extracting means 36c indicating the peak of the sound pressure level higher than the average value of the sound pressure levels obtained for each specific frequency band is determined by the CPU 54 in the frequency characteristic curve diagram for the sound pressure level shown in FIG. The sound pressure level Pmaxa indicating a peak value higher than the average value S calculated for each analysis frequency band is calculated by Equation 2 by calculating an average value indicated by a straight line S for each analysis frequency band.₁, Pmaxb₁, Pmaxc₁... Pmaxn₁Is extracted as a peak frequency, and is output to the coherence analysis processing unit 37 and the pseudo peak frequency extraction unit 43.
[0057]
[Formula 1]
Average value calculation formula for all analysis frequency bands
Analysis frequency band ... f₁~ F_n
Number of frequency bands ... N
Average value ... Fave
Sound pressure level at peak frequency ... pmax₁~ Pmax_n
f₁+ F₂+ ... f_n/ N = fave
fave <pmax₁~ Pmax_n
[0058]
[Formula 2]
Average value calculation formula between arbitrary frequency bands fa
Arbitrary analysis frequency band ... fa₁~ Fa_n
Number of frequency bands ... Na
Average value ... Fave
Sound pressure level at peak frequency ... pmaxa₁~ Pmaxa_n
fa₁+ Fa₁+ ... fa_n/ Na = fave₁
fave₁<Pmaxa₁~ Pmaxa_n
Hereinafter, the calculation formula between the frequency bands fa to fn is the same as the above formula.
[0059]
The pseudo peak frequency extraction unit 43 determines the sound pressure level of the same peak frequency from the sound spectrum of the non-contact sound input device 26 based on the peak frequency input from the positive peak frequency extraction unit 36 by the CPU 54. The extracted data is output to the peak frequency deviation processing unit 44, the coherence analysis processing unit 37, the data storage unit 49, the display device 50, and the like. The sound spectrum of the output of the non-contact sound input device 26 is, for example, a frequency characteristic curve diagram with respect to the sound pressure level as shown in FIG. The sound spectrum of FIG. 4 has a larger sound pressure level than the sound spectrum of FIG. 3 by the distance from the monitoring target facility 3 and a larger S / N ratio.
[0060]
The coherence analysis processing unit 37 obtains the coherence of the sound pressure level of each peak frequency extracted by the CPU 54 by the positive peak frequency extraction unit 36 and the pseudo peak frequency extraction unit 43. Is obtained in all frequency bands. The coherence analysis processing unit 37 outputs “1” when there is a correlation, and outputs “0” when there is no correlation. Correlation "1" is the sound pressure level value of the peak frequency extracted from the sound spectrum of the output of the contact-type sound input device 25 and the sound pressure level value of the peak frequency extracted from the sound spectrum of the output of the non-contact sound input device 26 When there is a correlation, the measurement position acceptability determination processing unit 45 determines the current position of the non-contact sound input device 26 as the monitoring position. The information on the monitoring position is distance information from the monitoring target facility 3, and is stored in the data storage unit 49 in association with the monitoring target facility name.
[0061]
The peak frequency deviation processing unit 44 obtains the deviation of each sound pressure level at the peak frequency extracted by the CPU 54 by the positive peak frequency extraction unit 36 and the pseudo peak frequency extraction unit 43 in the entire frequency band. The peak frequency deviation processing unit 44 outputs “0” if there is no deviation between the sound pressure levels and coincides with each other, and determines whether or not the measurement position is the same as the operating sound of the monitored facility 3 detected by the contact type sound input device 25. The determination is performed by the determination processing unit 45. If there is a deviation between the sound pressure levels, “1” is output, and the measurement position pass / fail determination processing unit 45 determines that the operating sound of the monitored facility 3 detected by the contact acoustic input device 25 is not the same.
[0062]
That is, if the coherence analysis processing section 37 outputs the presence of a correlation and the peak frequency deviation processing section 44 has no deviation in the sound pressure level and agrees with each other, the measurement position acceptability determination processing section 45 and the CPU 54 Is determined to be the same as the detected operation sound of the monitoring target facility 3, and is determined as the monitoring position of the operation sound. As shown in FIG. 8, the relationship between these is that the sound pressure level value of the extracted peak frequency in the frequency characteristic curve diagram with respect to the sound pressure level of the output of the coherence analysis processing unit 37 is shown in FIG. The waveform shows the characteristic sound of the monitored facility 3 during normal operation. The waveform in FIG. 8 can be output, for example, by processing the waveform in FIG. 6 with a clamp circuit that uses an average value as a clamp level.
[0063]
The sound pressure level value of the peak frequency extracted in the frequency characteristic curve diagram with respect to the sound pressure level of the output of the peak frequency deviation processing unit 44 has a waveform shown in FIG. The waveform whose sound pressure level value is compensated by adding an attenuation (dotted line value) corresponding to the distance difference between the non-contact sound input device 26 and the monitoring target equipment 3 to the waveform shown in FIG. 8C, and the CPU 54 determines that the waveform in FIG. 8A and the waveform in FIG. 8C match. That is, the coincidence between the waveform in FIG. 8A and the waveform in FIG. 8C indicates that the non-contact sound input device 26 has been able to detect the characteristic sound during the operation of the monitored facility 3. The position of the non-contact sound input device 26 that can detect the characteristic sound of the monitored facility 3 is the monitoring position of the non-contact sound input device 26 that can measure the operating sound of the monitored facility 3 by the non-contact sound input device 26. It is. When the measurement position pass / fail determination processing unit 45 determines that the waveforms of FIG. 8A and FIG. 8C match, the CPU 54 sends the current position of the non-contact sound input device 26 to the distance measurement device 47. The distance measuring device 47 outputs a control command for measuring a distance between the monitoring target facility 3 and the monitoring target facility 3, and outputs distance information. This distance information is monitoring position information at which the non-contact sound input device 26 can monitor the operation sound of the monitoring target facility 3. That is, when the coherence analysis processing section 37 outputs the presence of the correlation and the peak frequency deviation processing section 44 outputs that the sound pressure levels of the waveforms of FIG. 8A and FIG. The unit 45 outputs monitoring position information of the non-contact sound input device 26.
[0064]
The coherence analysis processing unit 37 outputs no correlation, the peak frequency deviation processing unit 44 outputs a sound pressure level deviation, and if they do not match, the measurement position acceptability judgment processing unit 45 controls the contact type sound input under the control of the CPU 54. It is determined that the sound is different from the operation sound of the monitored facility 3 detected by the device 25, and is determined to be inappropriate as the operation sound monitoring position and not the operation sound monitoring position. When these processing results are stored in the data storage unit 49 by the CPU 54, they are simultaneously displayed on the display device 50.
[0065]
As a means for obtaining the monitoring position information, the coherence analysis processing unit 37 has described an example in which the presence or absence of a correlation and the peak frequency deviation processing unit 44 has determined the presence or absence of a deviation in the sound pressure level. It is desirable to obtain an allowable range in advance and determine the monitoring position when the range is entered. That is, when the information obtained by the deviation between the first sound volume output value and the second sound volume output value or the coherence analysis processing falls within a predetermined range, the monitoring position information indicates the second sensed position. It is desirable to use the distance information to the sound sensor.
[0066]
In the above embodiment, the monitoring position information is obtained from the output values of the coherence analysis processing unit 37 and the peak frequency deviation processing unit 44. However, at least one of the monitoring position information can be obtained.
[0067]
The measurement position pass / fail determination processing section 45 executes a coherence determination section 45a and a peak frequency deviation determination section 45b under the control of the CPU 54 as shown in FIG. The former coherence determination means 45a determines whether the CPU 54 sends the sound pressure level at the peak frequency of the contact-type sound input device 25 from the coherence analysis processing unit 37 and the sound pressure level of the output of the non-contact sound input device 26 at this peak frequency. And outputs a result of “1” when there is a correlation, and outputs a result of “0” when there is no correlation. Based on this, when the correlation is “1”, the position of the non-contact sound input device 26 is monitored. Position ”, and when the correlation is“ 0 ”, the position of the non-contact type sound input device 26 is determined as a“ monitoring inappropriate position ”.
[0068]
The latter peak frequency deviation determination means 45b determines whether the CPU 54 receives the sound pressure level at the peak frequency of the contact type sound input device 25 from the peak frequency deviation processing unit 44 and the sound output from the non-contact type sound input device 26 at this peak frequency. The difference between the sound pressure level and the sound pressure level compensated for the distance is taken, and if there is no sound pressure level difference, “0” is output, and the sound pressure level of the contact-type sound input device 25 and the output of the non-contact sound input device 26 are output. The same sound pressure level is evaluated as the operating sound of the monitored equipment and output. The CPU 54 evaluates that the current position of the non-contact sound input device 26 is appropriate as a monitoring position, stores it in the data storage unit 49, and displays it on the display device 50 at the same time.
[0069]
Also, when there is a sound pressure level difference, the CPU 54 outputs “1”, and the sound pressure level of the output of the contact type sound input device 25 and the sound pressure level of the output of the non-contact type sound input device 26 are abnormal sounds, For example, it is determined that an output that is not the operation sound of the facility 3 is an environmental sound. With respect to this determination result, the CPU 54 evaluates the current position of the non-contact sound input device 26 as inappropriate as a monitoring position, stores the evaluation in the data storage unit 49, and simultaneously displays the evaluation on the display device 50. In this case, the observer can move the position of the non-contact sound input device 26 and select a position where an appropriate evaluation is displayed as a monitoring position on the display surface of the display device 50. The operation of selecting the monitoring position by moving the position of the input device 26 is defined as tuning in this specification.
[0070]
In the distance compensation, there is a difference in distance between the monitoring target facility 3 in which the contact-type sound input device 25 and the non-contact-type sound input device 26 are sound sources, and a corresponding sound pressure level difference at each peak frequency is generated. Therefore, the output waveform of the non-contact sound input device 26 is compensated accordingly. This compensation is indicated by a dotted line in FIG. 8C, for example.
[0071]
In this way, the measurement position pass / fail determination processing unit 45 determines that the CPU 54 has a correlation by the coherence determination unit 45a and outputs “1” to determine the “monitoring position”, and the peak frequency deviation determination unit 45b determines the sound pressure level difference. When the sound pressure level of the output of the contact type sound input device 25 and the sound pressure level of the output of the non-contact type sound input device 26 are evaluated as the same sound as the operation sound of the monitored facility, the monitoring position information is output. Is stored in the data storage unit 49 and displayed on the display device 50 at the same time. When the CPU 54 makes other evaluations, the measurement position pass / fail determination processing section 45 outputs monitoring inappropriateness, stores it in the data storage section 49, and simultaneously displays it on the display device 50.
[0072]
The other evaluation means that when the CPU 54 outputs a correlation of “0” by the coherence determination unit 45a and outputs a sound pressure level difference of “1” by the peak frequency deviation determination unit 45b, the correlation similarly becomes “0”. Output, the sound pressure level difference outputs “0”, the correlation outputs “1”, and the sound pressure level difference outputs “1”.
[0073]
That is, the peak frequency deviation determining unit 45b that determines based on the result of the peak frequency deviation processing unit 44 makes a determination using Expression 4. The coherence determination unit 45a determines the correlation between the peak frequencies using Expression 3 based on the coherence result calculated by the coherence analysis processing unit 37, and determines whether measurement is possible.
The peak frequency deviation determination means 45b determines the deviation relationship between the respective peak frequencies based on the deviation of the peak frequencies calculated by the peak frequency deviation processing unit 44 using Equation 4, and determines whether the monitoring position of the non-contact sound input device 26 is good or not. Make a decision. The measurement position pass / fail determination processing section 45 outputs the monitoring position of the non-contact sound input device 26.
[0074]
[Equation 3]
Coherence function of peak frequency ... cpmax₁~ Cpmax_n
0 <cpmax₁~ Cpmax_n≦ 1
[0075]
[Equation 4]
Deviation of sound pressure level at peak frequency deviation between contact type and non-contact type: Δpmax₁~ Δpmax_n
Sound pressure level at contact type peak frequency ... pmax₁~ Pmax_n
0 ≦ Δpmax₁~ Δpmax_n<Pmax₁~ Pmax_n
[0076]
The measurement position pass / fail determination processing section 45 sets a threshold value for the coherence analysis result by the coherence analysis processing section 37 or the peak frequency deviation result due to the peak frequency deviation to determine pass / fail of the measurement position. In the measurement position acceptability determination processing unit 45, an example in which the AND operation of the coherence determination unit 45a and the peak frequency deviation determination unit 45b has been described, but the S / N ratio of the S / N ratio is determined by the contact-type sound input device 25 and the non-contact-type sound input device 26. When good detection is possible, either one of the coherence determining means 45a and the peak frequency deviation determining means 45b may be used.
[0077]
The display device 50 converts the digitized sound signals of the A / D conversion processing units 34 and 41, the sound spectrum of the output of the frequency analysis processing units 35 and 42, the peak frequency extracted by the positive peak frequency extraction unit 36, and the pseudo The sound pressure level of the peak frequency of the peak frequency extraction unit 43, the coherence result of the coherence analysis processing unit 37, the calculation result of the peak frequency deviation processing unit 44, the measurement availability result of the measurement position pass / fail determination processing unit 45, and the It displays the distance measured by the distance measuring device 47, the monitored equipment name input from the input device 51, the monitored equipment location, the measurement date and time, and the like.
[0078]
That is, the display device 50 displays an input information display for displaying information input at the time of monitoring, a threshold setting display, a display of conditions input for searching data from the data storage unit 49, and a search result. , The display of the measurement result output from the measurement position pass / fail determination processing section 45, the display of the determination result of the determination processing section 62, and the display of the contents of the database stored in the data storage section 49. The above-mentioned threshold setting display shows items for setting a threshold value in the coherence analysis result or the peak frequency deviation result used in the measurement position pass / fail judgment processing section 45 and the peak frequency comparison result used in normal sound (or abnormal sound) judgment. An item for inputting a threshold value is displayed, and an item for inputting a threshold value of a coherence analysis result or a peak frequency comparison result is displayed. The data search condition display shows items for inputting a monitored facility name and a monitoring date and time, and the data search result display shows a monitored facility name, a monitoring date and time, a measurable distance, and the like.
[0079]
The measurement result display includes a time-series display in which the digital signal converted by the A / D conversion processing unit is displayed in time series, a time-series progress display in which a plurality of measurement results are displayed in a superimposed manner, and a processing performed by the frequency analysis processing unit. Frequency analysis display that displays the results obtained, frequency analysis progress display that displays multiple measurement results in an overlapping manner, and peak frequency display that displays the results processed by the positive peak frequency extraction processing unit and the pseudo peak frequency extraction processing unit And a coherence analysis display for displaying a result processed by the coherence analysis processing unit. The judgment result display is a measurement availability display that displays the result of the distance determination processing unit, a normal sound availability display that displays the result of the normal sound correctness determination processing unit, and a database display is a display device that stores data stored in the data storage unit. Display.
[0080]
In the data storage unit 49, the observer measures the distance from the monitored facility 3 to the contact-type acoustic input device 25 and the non-contact-type acoustic input device 26, and the observer inputs the measured distance from the input device 51, and The distance information, the monitoring target equipment name and the measurement date and time input by the input device 51, the acoustic signals digitized by the A / D conversion processing units 34 and 41, and the acoustic spectra of the frequency analysis processing units 35 and 42. And the peak frequency of the positive peak frequency extracting unit 36, the peak frequency of the pseudo peak frequency extracting unit 43, the calculation result of the peak frequency deviation processing unit 44, and the measurement enable / disable result of the measurement position acceptability determination processing unit 45. And store.
[0081]
In this manner, the monitoring of the output of the measurement position acceptability determination processing unit 45 can obtain the monitoring position at which the non-contact sound input device 26 monitors the characteristic sound during the operation of the monitored facility 3. The distance between the monitored facility 3 and the non-contact sound input device 26, at which the characteristic sound of the monitored facility 3 can be measured by the non-contact sound input device 26, indicates the monitoring position of the non-contact sound input device 26. .
[0082]
Next, an embodiment of an equipment operating state acoustic monitoring device 21 for diagnosing the presence or absence of an abnormality in the monitored object equipment 3 by monitoring the operating sound of the monitored equipment 3 with a non-contact sound input device 26 is shown. This will be described with reference to FIGS. 1 to 9 are given the same reference numerals and described, and the detailed description thereof will be omitted because they are duplicated. In this embodiment, the operating sound of the monitoring target facility 3 is monitored with the same performance as that monitored by the contact-type sound input device 25 using only the non-contact sound input device 26. This is an example in which the non-contact sound input device 26 is installed at the output monitoring position and the operation sound of the monitoring target facility 3 is monitored. Equivalent to monitoring by the contact-type acoustic input device 25 means that although the S / N ratio of the monitoring signal by the non-contact-type acoustic input device 26 deteriorates, stable monitoring can be performed without being affected by noise. . Stable monitoring is achieved by extracting a peak frequency from a signal monitored by the contact-type sound input device 25, and using the sound pressure level of the monitoring signal by the non-contact sound input device 26 as a monitor signal based on the peak frequency. Is done.
[0083]
The operation state acoustic monitoring device 21 of such a facility includes a non-contact type acoustic input device 26, a distance measuring device 47, an input device 51, a personal computer 52, and a display device 50. The personal computer 52 includes, for example, an A / D conversion processing unit 34, a frequency analysis processing unit 35, a pseudo peak frequency extraction unit 43, a peak frequency correction processing unit 61, a determination processing unit 62, a data storage unit 49, and an A / D conversion processing unit 48. , A distance comparison processing unit 65, a search processing unit 66, a memory 53, a CPU 54, and the like.
[0084]
The non-contact type sound input device 26 detects an operation sound generated by the operation of the monitored facility 3 and outputs an electric signal, and is, for example, a microphone. The installation position of the microphone is determined by the monitoring position output by the monitoring data collection device 20 and stored in the data storage unit 49 or the non-contact monitoring while monitoring the display surface of the display device 50 by the equipment operation state acoustic monitoring device 21. This is a position where the installation position of the acoustic input device 26 is moved and the monitoring position is tuned. That is, the installation of the non-contact sound input device 26 at the monitoring position read from the data storage unit 49 is performed by measuring the monitoring position read from the data storage unit 49 by the distance measuring device 47 and measuring the distance from the monitoring target facility 3. Can be located at the monitoring location. As a result, the plant monitor patrols a large number of facilities sequentially while carrying the equipment operation state acoustic monitoring device 21 and reads out the corresponding monitoring position from the data storage unit 49 at each of the three monitoring target facilities, and performs this monitoring. By installing the non-contact sound input device 26 at the position, the operation state of the monitoring target facility 3 can be monitored from the operation sound.
[0085]
The A / D conversion processing unit 34 converts an analog sound signal obtained by detecting the operation sound of the monitored facility 3 by the non-contact sound input device 26 into a digital format, and outputs the digital sound signal to the frequency analysis processing unit 35. The frequency analysis processing unit 35 frequency-analyzes the acoustic signal digitized by the A / D conversion processing unit 34 by fast Fourier transform, and outputs an acoustic spectrum to the pseudo peak frequency extraction unit 43.
[0086]
The pseudo peak frequency extracting unit 43 reads the peak frequency data of the monitored facility 3 from the data storage unit 49, and stores the read sound pressure level in the output waveform of the non-contact acoustic input device 26 in the data storage unit. When stored in the display device 49 and displayed on the display device 50, it is simultaneously output to the peak frequency correction processing unit 61. The output waveform of the pseudo peak frequency extraction unit 43 is a waveform as shown in FIG. The peak frequency correction processing unit 61 adds a dotted line corresponding to the distance between the monitoring target facility 3 and the non-contact sound input device 26 to the waveform shown in FIG. FIG. 8A shows the output waveform and the output value of the positive peak frequency extracting unit 36 of the output system of the contact type acoustic input device 25 of the monitored facility 3 stored in the data storage unit 49. The deviation from the sound pressure level value obtained from the waveform as shown is taken. As a result of the deviation between FIGS. 8A and 8C, if there is no deviation, the peak frequency correction processing unit 61 outputs a waveform as shown in FIG. 8C. If there is a deviation as a result of the deviation, the peak frequency correction processing unit 61 adjusts the position of the non-contact type sound input device 26 by moving the position so that the deviation is eliminated, and obtains a monitoring position.
[0087]
The determination processing unit 62 compares the waveform from the peak frequency correction processing unit 61 as shown in FIG. 8C and the waveform of the monitoring target equipment 3 stored in the data storage unit 49 when the monitoring target facility 3 is normal (or abnormal). Compare and confirm that they are in normal operation if they match (output an abnormal state if they match the abnormal state). As described above, the determination processing unit 62 determines the strength of the correlation between the sound pressure level of the peak frequency detected by the non-contact sound input device 26 and the sound pressure level of the peak frequency read from the data storage unit 49. judge. That is, the determination processing unit 62 determines whether there is a difference from the normal sound (or abnormal sound), and determines whether the operation is normal or abnormal.
[0088]
The determination processing unit 62 correlates the sound pressure level of the peak frequency corrected for the separation distance by the peak frequency correction processing unit 61 with the sound pressure level of the peak frequency of the monitored facility 3 read from the data storage unit 49. A threshold value can be set for the peak frequency deviation result based on the deviation at that time to determine whether the normal sound (or abnormal sound) is correct or not. The threshold has a function of setting the threshold on the display surface of the display device 50.
[0089]
The distance measuring device 47 is, for example, a laser distance measuring device, is mounted on the non-contact sound input device 26, and measures the distance from the monitoring target unit of the monitoring target facility 3 to the non-contact sound input device 26, Output distance information. The distance information is converted into a digital signal by the A / D conversion processing unit 48 and input to the distance comparison processing unit 65, and is simultaneously input to the data storage unit 49 and stored.
[0090]
The search processing unit 66 searches and reads the monitoring position data of the monitoring target facility 3 from the data storage unit 49 and outputs the data to the distance comparison processing unit 65. The distance comparison processing unit 65 compares the distance information measured by the distance measurement device 47 with the monitoring position data read from the data storage unit 49, and recognizes the current position of the non-contact sound input device 26 as the monitoring position when they match. And outputs to the determination processing section 62 that the position is the monitoring position. The determination processing unit 62 displays on the display surface of the display device 50 that the current position of the non-contact sound input device 26 is the monitoring position. The input device 51 is, for example, a keyboard. The input device 51 inputs a monitoring target facility name and a measurement date and time, and also inputs and stores the data storage unit 49.
[0091]
The search processing unit 66 determines the measurable distance (monitoring position data) of the same monitoring target facility 3 from the past data stored in the data storage unit 49 in association with the monitoring target facility name input from the input device 51. , A search result of the positive peak frequency of the output waveform detected by the contact type sound input device 25, a peak frequency deviation processing result, and the like. The past data includes various data output by the monitoring data collection device 20 and data output by the equipment operation state acoustic monitoring device 21.
[0092]
The distance comparison processing unit 65 searches for and retrieves the monitoring target equipment name related data from the data storage unit 49 by inputting the monitoring target equipment name in the search processing unit 66, and the monitoring position data and the monitoring target equipment 3 and the current The distance between the non-contact sound input devices 26 is measured by the distance measuring device 47, and the deviation of the distance (Equation 5) is obtained based on the input distance data. The monitoring position of the non-contact sound input device 26 is to adjust the position by moving the position of the non-contact sound input device 26 so that the deviation value becomes “0”. The determination when the deviation value becomes “0” is performed by the determination processing unit 62 and is displayed on the display device 50. The observer can install the non-contact sound input device 26 at the optimum position while watching the display screen of the display device 50.
[0093]
[Equation 5]
Current position data of the non-contact sound input device 26 collected by the distance measuring device 47 K₁
Measurement position of the non-contact sound input device 26 read from the data storage unit 49 K
Distance deviation ··· ΔK
KK₁= ΔK
[0094]
The measurement position of the non-contact sound input device 26 is moved so that ΔK becomes “0”. As a result, when ΔK becomes “0”, the non-contact sound input device 26 is substantially in the same monitoring state as the monitoring by the contact sound input device 25. Thus, the positioning of the non-contact sound input device 26 to the monitoring position is completed.
[0095]
When the CPU 54 outputs a determination result that the installation position of the non-contact type sound input device 26 is a monitoring position, the determination processing unit 62 determines whether the search processing unit 66 has data based on the acoustic spectrum calculated by the frequency analysis processing unit 35. The monitoring target equipment name is retrieved from the storage unit 49 by inputting it from the input device 51, and the same peak frequency as the extracted past positive peak frequency processing result is extracted. The pseudo peak frequency extraction unit 43 generates a sound pressure level value pmax corresponding to the peak frequency extracted from the acoustic spectrum output from the frequency analysis processing unit 35.₁~ Pmax_nTo the peak frequency correction processing section 61.
[0096]
The peak frequency correction processing unit 61 outputs a sound pressure level value pmax corresponding to the extracted peak frequency.₁~ Pmax_nIs added to the attenuation of the sound pressure level corresponding to the distance between the non-contact type sound input device 26 and the contact type sound input device 25 to adjust the monitoring sensitivity substantially by the contact type sound input device 25.
[0097]
That is, the peak frequency correction processing unit 61 adds the peak frequency deviation processing result retrieved and extracted from the data storage unit 49 by the retrieval processing unit 66 to the extracted peak frequency (Equation 6), and generates the pseudo contact peak frequency. The sound pressure level is determined.
[0098]
[Equation 6]
Peak frequency deviation processing result retrieved and extracted from the data storage unit 49 by the retrieval processing unit 66... Δpmax₁~ Δpmax_n
The sound pressure level at the peak frequency detected by the non-contact type sound input device 26 this time dpmax₁~ Dpmax_n
Pseudo-contact peak frequency with added deviation ... apmax₁~ Apmax_n
Then
dpmax₁+ Δpmax₁... dpmax_n+ Δpmax_n= Apmax₁~ Apmax_n
[0099]
As shown in FIG. 11, the determination processing unit 62 determines whether or not the distance measured based on the result of the distance comparison processing unit 65 can be used as a monitoring position. The presence or absence of an abnormal sound of the monitoring target equipment 3 is determined by the equipment operation state diagnosis means 62b.
[0100]
The distance determination unit 62a determines a measurable distance based on the result of the distance comparison processing unit 65 using Expression 7.
[Equation 7]
Distance deviation ..... DELTA.K
ΔK = 0
[0101]
The equipment operation state diagnosis means 62b determines whether the CPU 54 calculates the sound pressure level at the quasi-contact peak frequency calculated by the peak frequency correction processing unit 61 and the sound of the positive peak frequency extracted from the data storage unit 49 by the search processing unit 66. The difference between the sound pressure level at the peak frequency and the pressure level is determined, and the presence or absence of abnormal sound is determined. The determination processing unit 62 outputs the possibility of abnormal operation if the CPU 54 has a difference in sound pressure level, and outputs normal operation if there is no difference in the sound pressure level. When stored in the data storage unit 49 in association with the date and time, the data is displayed on the display device 50 at the same time.
[0102]
The display device 50 includes an audio signal digitally processed by the A / D conversion processing unit 34, an acoustic spectrum calculated by the frequency analysis processing unit 35, a peak frequency of the pseudo peak frequency extraction unit 43, and a peak frequency correction process. The peak frequency of the unit 61, the past monitoring position information of the non-contact type sound input device 26 extracted from the data storage unit 49, the positive peak frequency processing result and the peak frequency deviation processing result, and the monitoring target equipment input by the input device 51. A name, a measurement date and time, a monitoring position availability result of the distance determination means 65a, a result of the equipment operation state diagnosis means 62b, and the like are displayed.
[0103]
The data storage unit 49 includes an audio signal digitally processed by the A / D conversion processing unit 34, an audio spectrum calculated and processed by the frequency analysis processing unit 35, a peak frequency of the pseudo peak frequency extraction unit 43, and a distance measurement device. 47 stores the monitoring position information input by 47, the monitoring target equipment name and the measurement date and time input by the input device 51, and the result of the peak frequency correction processing unit 61.
[0104]
Next, a method of monitoring the operating state of the monitored facility 3 by the operating state acoustic monitoring device 21 will be described with reference to the flowchart of FIG. 1 to 11 are denoted by the same reference numerals and described, and detailed description thereof will be omitted. The monitor carries around the power generation plant, for example, in which the monitoring target facilities 3 are arranged, by carrying the operation state acoustic monitoring device 21 of the facility shown in FIG. 10 (F-1). At this time, the monitor sets the operation state acoustic monitoring device 21 of the equipment to the positioning mode for installing the non-contact type sound input device 26 at the monitoring position (F-2). When the monitor reaches the predetermined monitoring position, the monitor installs the non-contact sound input device 26 at the expected monitoring position of the monitoring target facility 3 and adjusts the position (F-3). When the observer is able to move to a predetermined monitoring position while watching the display screen of the display device 50, the display is displayed on the display screen as the optimal monitoring position (F-4).
[0105]
Next, the monitor switches the equipment operation state acoustic monitoring device 21 to the operation state monitoring mode of the monitoring target equipment 3 (F-5). The operation sound (F-6) of the monitoring target facility 3 detected by the non-contact sound input device 26 is converted into a digital signal by the A / D conversion processing unit 34, and this digital signal is transmitted to the frequency analysis processing unit 35. The Fourier-transformed sound spectrum of the frequency characteristic curve diagram with respect to the sound pressure level is input to the pseudo peak frequency extracting unit 43 (F-7).
[0106]
The pseudo peak frequency extracting unit 43 reads the positive peak frequency information extracted from the acoustic spectrum of the output of the contact type acoustic input device 25 from the data storage unit 49, and outputs the information of the frequency analysis processing unit 35 output corresponding to this positive peak frequency. The sound pressure level of the acoustic spectrum is extracted and output to the peak frequency correction processing unit 61 as sound pressure level information of the pseudo peak frequency (F-8).
[0107]
Since the non-contact sound input device 26 is located farther from the monitoring target facility 3 as the sound source than the contact sound input device 25, the peak frequency correction processing unit 61 sets the sound pressure level of the pseudo peak frequency to The attenuation by the separation distance is added, corrected, and output to the determination processing unit 62 (F-9). The determination processing unit 62 reads a sound pressure level value corresponding to the peak frequency during normal operation of the monitored facility 3 stored in the data storage unit 49 (F-10), and reads the sound pressure level and the pseudo peak frequency. Is compared with the sound volume level obtained by adding the attenuation to the sound pressure level (F-11). If they match, it is determined that the vehicle is operating normally and displayed on the display device 50 (F-12). When the information on the possibility of abnormal operation is stored in the data storage unit 49, it is simultaneously displayed on the display device 50 (F-13). It is desirable that the display at the time of abnormality be displayed in red. In this way, the operation state of the monitored facility can be monitored (F-14).
[0108]
As described above, according to the embodiment, the monitoring target equipment is monitored based on the peak frequency obtained from the output of the sound sensor provided directly or close to the monitoring target equipment. Thus, it is possible to set the monitoring position of the second sound sensor and monitor the monitoring target equipment with a signal having a larger S / N ratio than that of the above. As a result, the presence or absence of the normal sound and the abnormal sound of the monitored equipment can be monitored with high accuracy and can be automatically determined.
[0109]
In addition, the method of discriminating between the operating sound of the monitored equipment and the noise from other surroundings, which was a problem when collecting sound data using a second sound sensor such as a microphone, was described in detail. Since the relationship with the data collected in step (1) is characterized, measurement can be performed at a monitoring position that receives as little noise as possible such as environmental sounds. Furthermore, by storing and registering the data collected at that time in the data storage unit and reading it out from the data storage unit, the operating status of the monitored equipment is always maintained at the specified monitoring position even if the monitor changes. Can be monitored.
[0110]
【The invention's effect】
As described above, according to the present invention, it is possible to accurately collect the operation sound from the monitoring target equipment, and to accurately monitor the noise such as the operation sound from other peripheral equipment.
[Brief description of the drawings]
FIG. 1 is a flowchart for explaining one embodiment of a method for monitoring the operating state of a facility according to the present invention.
FIG. 2 is a circuit configuration diagram for specifically explaining a monitoring data collection step in FIG. 1;
FIG. 3 is a diagram illustrating a frequency characteristic curve with respect to a sound pressure level for specifically explaining a positive peak frequency extracting unit of FIG. 2;
FIG. 4 is a diagram illustrating a frequency characteristic curve with respect to a sound pressure level of an output signal obtained by converting an output of the non-contact sound input device of FIG. 2 into a digital signal and analyzing the frequency.
FIG. 5 is a circuit configuration diagram for specifically explaining a positive peak frequency extraction processing unit in FIG. 2;
FIG. 6 is a characteristic curve diagram for explaining a peak value of a sound pressure level higher than an average value of sound pressure levels in all frequency bands in FIG. 3;
FIG. 7 is a characteristic curve diagram for explaining a peak value of a sound pressure level higher than an average value of sound pressure levels for each specific frequency band in FIG. 3;
8 is a peak waveform chart for explaining a relationship between a sound pressure level and a frequency for explaining a method for obtaining monitoring position information of the non-contact type sound input device of FIG. 2;
FIG. 9 is a configuration diagram for explaining a determination method of a measurement position acceptability determination processing unit in FIG. 2;
FIG. 10 is a configuration diagram of an acoustic monitoring device for explaining the acoustic monitoring step of FIG. 1;
FIG. 11 is a configuration diagram for explaining a determination processing unit in FIG. 10;
12 is a flowchart for explaining a method of acoustically monitoring a facility to be monitored by the acoustic monitoring device of FIG. 10;
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 ... The operating state monitoring method of equipment, 2 ... 1st sound sensor, 3 ... Equipment to be monitored, 4 ... Second sound sensor, 5 ... Monitoring data collection process, 6 ... Monitoring process, 11 ... Operating sound Collection step, 12 ... peak frequency extraction step, 13 ... monitoring position information output step, 15 ... monitoring start step, 16 ... monitoring step, 20 ... monitoring data collection device, 21 ... equipment operation state acoustic monitoring device, 25 ... contact Type acoustic input device, 26: non-contact type acoustic input device, 34, 41, 48 ... A / D conversion processing unit, 35 ... frequency analysis processing unit, 36 ... positive peak frequency extraction unit, 37 ... coherence analysis processing unit, 42 ... frequency analysis processing unit, 43 ... pseudo peak frequency extraction unit, 44 ... peak frequency deviation processing unit, 45 ... measurement position pass / fail judgment processing unit, 47 ... distance measurement device, 49 ... data storage unit, 50 ... display device 51 ... input device, 52 ... PC, 61 ... peak frequency correction unit, 62 ... determining unit, 65 ... distance comparison processing unit, 66 ... retrieval processing unit.

Claims (8)

Collecting a driving sound unique to the monitoring target equipment by a first sound sensor for a predetermined period and outputting a first driving sound signal;
Outputting a first acoustic spectrum signal indicating a relationship between a frequency and a volume output value by performing a frequency analysis process on the first driving sound signal;
Extracting a peak frequency at which the volume output value indicates a peak from the first acoustic spectrum signal and a first volume output value of the peak frequency as monitoring information of a normal operation state, and storing the information in a storage device in advance;
A second sound sensor is provided at a monitoring position farther from the monitored facility than the first sound sensor to collect operation sounds of the monitored facility for the predetermined period and perform a second operation. Outputting a sound signal;
Outputting a second acoustic spectrum signal indicating a relationship between a frequency and a volume output value by performing frequency analysis processing on the second driving sound signal;
Extracting a second volume output value of the peak frequency read from the storage device from the second acoustic spectrum signal;
A correlation between the first sound volume output value and the second sound volume output value read from the storage device is obtained, and monitoring position information for monitoring an operation state of the monitoring target equipment by the second sound sensor is output. And storing the monitoring position information in the storage device;
When monitoring, providing a monitoring sound sensor at the position of the monitoring position information of the monitoring target equipment, monitoring,
Monitoring the presence or absence of an abnormality in the monitored facility by comparing the monitoring output by the monitoring sensory sensor with the monitoring information of the normal operating state stored in the storage device. A method for monitoring the operating status of equipment. The method according to claim 1, wherein an installation position of the first sound sensor is provided in contact with a container wall surface of the facility to be monitored. The monitoring position information is obtained by performing at least one of a deviation process of a first volume output value and a second volume output value at the peak frequency from a first acoustic spectrum signal and a second acoustic spectrum signal, and a coherence analysis process. 3. The method according to claim 1, wherein the information is obtained information. The monitoring position information is set when the information obtained by at least one of the deviation process and the coherence analysis process between the first sound volume output value and the second sound volume output value falls within a predetermined range. The method according to any one of claims 1 to 3, wherein the distance information is distance information from the first sound sensor to the second sound sensor. 5. The method according to claim 1, wherein the monitoring position information is distance information from a monitoring target facility to the second sound sensor. 6. 5. The operating state of the equipment according to claim 1, wherein the monitoring information of the normal operating state and the monitored position information of the second sound sensor are displayed on a display device. 6. Sound monitoring method. The monitoring of the monitoring target facility by the second sound sensor is performed based on the volume output value of the peak frequency obtained from the monitoring output by the second sound sensor and the normal operation state stored in the storage device. The equipment according to any one of claims 1 to 5, wherein the information is compared with monitoring information, and when a different signal is output, abnormality information is output, displayed on the display device, and stored in the storage device. Operating condition acoustic monitoring method. A first sound sensor collects an operation sound peculiar to the monitored equipment whose operation state is monitored from the operation sound, and a second sound sensor provided at a monitoring position farther from the monitored equipment than the first sound sensor. A first sound spectrum and a second sound spectrum information indicating a relationship of a frequency to a sound volume output value by performing frequency analysis processing on the first sound signal and the second sound signal collected by the sound sensor of the first embodiment; A storage device in which peak frequency information in an acoustic spectrum and a first volume output value at the peak frequency in the first acoustic spectrum are extracted and information indicating a normal operation state is stored;
A second volume output value of the peak frequency is extracted from the second acoustic spectrum information, the first volume output value and the second volume output value are compared, and if there is a correlation, a second sound sensor is provided. Means for storing the position of the monitoring target equipment in the storage device as a monitoring position of the monitoring target facility;
The monitoring position information stored in the storage device is read, and the operation sound of the monitored facility is monitored by the second sound sensor provided at the monitoring position, and the second sound sensor monitors the operation sound. Means for comparing the monitoring sound volume signal with the data indicating the normal operation state stored in the storage device to determine the presence or absence of an abnormality.

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