JPH113113A - Diagnostic method for deterioration of equipment and device therefor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To make it possible to execute accurate deterioration diagnosis for an equipment on a remote place by monitoring the state of the equipment, transmitting obtained equipment information from an operation facility to a control facility through a communication line and judging the deterioration of the equipment. SOLUTION: A computer 1d in the equipment operation facility 1 acquires data indicating the action state of an engine 1a from an engine monitoring device 1c for a fixed time, simultaneously acquires also data indicating the action state of a plant power generator 1b from the power generator 1b and outputs these data to a communication interface 1e as equipment information. A computer in the data collection control facility 2 compares performance data obtained based on the equipment information inputted through the communication line 3 with initial performance data. When a difference between both the data is larger than an evaluation reference, the existence or sign of deterioration in the engine 1a. The computer 2b reports the computer 1d of the judged result through the line 3.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and apparatus for diagnosing equipment deterioration, and more particularly to a technique for diagnosing deterioration of equipment continuously operated in a plant or the like.

[0002]

2. Description of the Related Art Conventionally, when diagnosing the deterioration of equipment continuously operated in a plant or the like, the normal operation of the equipment is stopped, and a specific parameter indicating the performance of the equipment is measured during maintenance. The deterioration state is determined based on a change from the initial value of the parameter. For example,
When diagnosing deterioration of a gas turbine operated at a power plant or the like, vibrations in an operating state of a plurality of gas turbines that have reached a maintenance time are measured, and the measured value is a predetermined threshold. When the value is exceeded, the overhaul is determined to be performed.

[0003]

In the above-described method for diagnosing device deterioration, the deterioration of the device is diagnosed based on the measurement result of a specific parameter. May be different. Another problem is that it is not possible to grasp the overall deterioration state of the device. Further, there is a problem that maintenance cost is increased because time and man-hours are required particularly when a deterioration diagnosis is performed for a plurality of devices.

[0004] A method and apparatus for diagnosing equipment deterioration according to the present invention have been made in view of the above-mentioned problems, and have the following objects. Diagnose equipment degradation at remote locations. Perform accurate device degradation diagnosis. Comprehensively diagnose the degradation state of the equipment. Reduce maintenance costs. Diagnose equipment degradation online. Centrally manage equipment degradation. Efficiently diagnose deterioration of multiple devices. Grasping changes over time of equipment deterioration.

[0005]

In order to achieve the above object, means relating to a method for diagnosing deterioration of equipment include: a. Monitor the status of equipment operated in the operating facility,
A means is employed in which the device information obtained by the monitoring is transmitted from the operating facility to a remote management facility via a communication line, and the management facility determines the deterioration of the device based on the device information. b. The management facility first obtains initial performance data indicating the initial characteristics of the device based on the device information in the initial state of the device, and thereafter, based on a comparison between the parameters based on the received device information and the initial performance data, obtains the performance of the device. Means of judging deterioration is adopted. c. Means of transmitting device information via a telephone line or the Internet is employed. The management facility acquires initial performance data and performance data based on the received device information by learning a device model that simulates the device using the neural network method based on the device information. Means is adopted. d. The management facility adopts a means of creating a database of initial performance data relating to a plurality of devices and registering the database, and performing a deterioration diagnosis on the plurality of devices. e. The management facility adopts a means of determining the deterioration of the device by comparing an initial function data including a plurality of parameters with an evaluation function including a plurality of parameters based on the device information received thereafter. f. Means is employed in which parameters based on the device information received after the initial performance data are sequentially stored, and a performance change of the device over time is diagnosed. g. For example, the present invention is applied to a gas turbine of a power plant as a device. Further, as means relating to a device deterioration diagnosis apparatus, h. A device monitoring device that is provided in the operating facility of the device and acquires the state of the device as device information; a device-side communication unit that transmits the device information acquired by the device monitoring device to a management facility via a communication line; Management-side communication means provided in the facility for receiving the device information transmitted from the device-side communication means, and device deterioration determination means for determining the deterioration of the device based on the device information received by the management-side communication means Is adopted. i. The device deterioration determination means first obtains initial performance data indicating the initial characteristics of the device based on the device information in the initial state of the device, and then compares it with similar performance data obtained based on the received device information. Means of judging the deterioration of the device based on this is adopted. j. As the device-side communication means, means for transmitting device information to the management-side communication means via a telephone line or the Internet is employed. k. At the management facility, a device model that is a model of the device simulated using the neural network method is trained based on the device information, and is similarly obtained based on the initial performance data obtained afterwards and the device information received thereafter. A means of acquiring the obtained performance data is adopted. l. The management facility is provided with a database for storing initial performance data relating to a plurality of devices, and the device deterioration determination means employs means for performing deterioration diagnosis on the plurality of devices based on the database. m. The device deterioration judging means employs means for judging device deterioration by comparing initial performance data learned from a plurality of parameters with performance data learned from a plurality of parameters based on device information received thereafter. Is done. n. As the device deterioration determining means, means for sequentially storing performance data based on the device information received after the initial performance data and diagnosing a time-dependent performance change of the device is employed. o. For example, the present invention is applied to a gas turbine of a power plant as a device.

[0006]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of a method and an apparatus for diagnosing deterioration of equipment according to the present invention will be described with reference to the drawings. In the following description, FIG. 1 is a block diagram showing the functional configuration of the present embodiment, and FIGS. 2 and 3 are flowcharts showing the operation of the present embodiment.

First, in FIG. 1, reference numeral 1 denotes an equipment operating facility (operating facility) in which equipment for performing a deterioration diagnosis is provided, and reference numeral 2 denotes a data collection management facility (management facility) for determining a deterioration state of the equipment. The equipment operating facility 1 and the data collection management facility 2 are installed at remote locations from each other, and are connected by a communication line 3. As the communication line 3, a public line or a dedicated line is used.

[0008] The equipment operating facility 1 is, for example, a thermal power plant, and an engine (gas turbine) 1a which is a target equipment for deterioration diagnosis, a plant generator 1b driven by the engine 1a, and an operation state of the engine 1a. Engine monitoring device 1c for monitoring in real time
(Equipment monitoring device), a computer 1d that outputs data monitored by the engine monitoring device 1c and data indicating an operation state of the plant generator 1b to the communication interface 1e as device information, and device information via the communication line 3. Communication interface 1e (device-side communication means) for transmitting data to the data collection management facility 2.
And are deployed.

The data collection and management facility 2 judges a deterioration state of the engine 1a based on the communication interface 2a (management communication means) for receiving device information from the device operation facility 1 via the communication line 3 and the device information. Computer 2
b (equipment deterioration determination means) and a database 2d for storing initial performance data relating to a plurality of engines such as the engine 1a and other engines provided in the equipment operating facility 1 and engines of other equipment operating facilities. Have been.

That is, the computer 1d manages the acquisition of the equipment information of the engine 1a in the equipment operation facility 1 and the transmission of the information to the data collection management facility 2, while the computer 2b in the data collection management facility 2 In addition, a diagnosis of deterioration of the engine 1a is performed based on device information received from the device operating facility 1 via the communication line 3. The computer 2b learns an engine model (a device model in which the performance of the engine 1a is modeled in a simulated manner) using a neural network technique, using device information, thereby deteriorating the state of the engine 1a. Is to judge.

For example, the computer 2b determines parameters (initial performance, etc.) obtained from the engine model learning result based on the equipment information at the time when the performance of the engine is guaranteed to be normal, such as at the time of initial operation or at the end of an overflow. Thereafter, the deterioration state of the engine 1a is determined by comparing the data with the performance data obtained from the learning result of the device information during the normal operation of the engine 1a.

Next, referring to FIG. 2, a description will be given of a process of acquiring the initial performance data of the engine 1a in the deterioration diagnosis procedure of the engine 1a.

[Step Sa1] First, a connection request is output from the computer 2b of the data collection and management facility 2 to the communication interface 2a. As a result, the communication interface 2a is connected to the communication interface 1 of the equipment operating facility 1.
e is in a communicable state via the communication line 3, and the computer 2b and the computer 1d are in a connected state.
Here, as the communication interface 2a and the communication interface 1e, those capable of high-speed communication are applied, and real-time communication is performed via, for example, ISDN or the Internet.

[Step Sa2] When the computer 2b and the computer 1d are connected via the communication interface 2a → the communication line 3 → the communication interface 1e, the computer 2b requests the computer 1d to transmit the device information. .

[Step Sa3] When the transmission request of the device information is input as described above, the computer 1d sends the engine 1a for a predetermined time from the engine monitoring device 1c.
And the data indicating the operating state of the plant generator 1b at this time are obtained from the plant generator 1b and output to the communication interface 1e as device information. Here, the engine monitoring device 1c monitors online the data indicating the operating state of the running engine 1a.
Therefore, the device information over a certain period of time from the time when the transmission request of the device information is issued from the computer 2b is acquired by the computer 1d. The data is input to the computer 2b.

[Step Sa4] When the device information is input in this way, the computer 2b learns the engine model for a predetermined time, and the engine 1a comprising a plurality of parameters obtained as a result of the learning. Is the initial performance data indicating the initial performance of. For example, the initial performance data includes the engine output and engine efficiency of the engine 1a.

[Step Sa5] As described above, the engine 1a
Is obtained, the computer 2b determines whether the initial performance data falls within a certain error range with respect to the device information. That is, when it is determined that the initial performance data obtained as a result of learning the device information for a predetermined time falls within a certain error range with respect to the device information at this time, the initial performance data is normally acquired. The processing of step Sa6 is subsequently executed, and if it is determined that the initial performance data does not fall within the error range, the processing of step Sa4 is repeated assuming that the initial performance data has not been normally acquired.

[Step Sa6] Then, the computer 2
b indicates that the initial performance data has been normally acquired and the step Sa5
If the determination in step 2 is "Yes," the initial performance data of the engine 1a obtained as a result is stored in the database 2d.

Here, the initial performance data includes a plurality of devices designated in advance for the data collection and management facility 2,
For example, other engines provided in the equipment operating facility 1 and engines provided in other equipment operating facilities are also acquired based on the learning of the equipment information as described above, and are sequentially stored in the database 2d.

Next, a deterioration diagnosis step using the above initial performance data will be described with reference to FIG. Note that a series of processes from step Sb1 to Sb4 in the flowchart shown in FIG. 3 indicate the processes of steps Sa1 to Sa4 for the device information received after the initial state of the engine 1a, and will not be described below. I do.

[Step Sb5] When the performance data for updating the parameters of the engine model based on the device information at an arbitrary time after the acquisition of the initial performance data is obtained by the processing of steps Sb1 to Sb4, the computer 2b
Compares the performance data with the initial performance data. In this case, the computer 2b compares the initial performance data with the performance data updated in step Sb4, and determines that the engine 1a has deteriorated or has a sign of deterioration if the difference is larger than the evaluation standard. That is, deterioration or a sign of deterioration is determined in consideration of all parameters acquired as initial performance data.

[Step Sb6] Then, the computer 2
When determining that the engine 1a has deteriorated or has a sign of deterioration as described above, b reports this to the computer 1d via the communication interface 2a → the communication line 3 → the communication interface 1e.

[Step Sb7] In the equipment operating facility 1, maintenance of the engine 1a is performed based on the report received from the data collection and management facility 2. Step S
If it is determined in b5 that the engine 1a has no deterioration or no sign of deterioration, the process is terminated without performing maintenance on the device information.

The engine 1 according to the above steps Sb1 to Sb5
The deterioration diagnosis of a is performed, for example, at a constant time interval. The computer 2b acquires device information on a plurality of engines (including the engine 1a) in the equipment operating facility 1 and engines in other equipment operating facilities in a predetermined order at a scheduled date and time, and obtains the equipment information and As described above, the deterioration diagnosis is performed on each engine based on the initial performance data registered in the database 2d in advance.

In the above embodiment, the object of the deterioration diagnosis is an engine (gas turbine) provided in a thermal power plant or the like.
However, the present invention is not limited to this, and can be applied to deterioration diagnosis of equipment continuously operated in various plants. In the above embodiment, the case where the device information and the like are transmitted via the communication interface, that is, via the analog line has been described. However, depending on the signal band of the device information, a digital line such as an ISDN may be used to secure the transmission speed. May be used. In this case, various communication devices for digital communication are used instead of the communication interface.

[0026]

As described above, according to the method and the apparatus for diagnosing deterioration of equipment according to the present invention, the following effects can be obtained. (1) The state of the equipment operated in the operating facility is monitored, the equipment information obtained by the monitoring is transmitted from the operating facility to a remote management facility via a communication line, and the management facility uses the equipment information based on the equipment information. Because it judges the deterioration of the equipment,
Equipment degradation can be diagnosed at a remote location. (2) Initial performance data indicating initial characteristics of the device is first obtained based on the device information in the initial state of the device, and the performance of the device is then determined based on a comparison between the performance data based on the received device information and the initial performance data. Since the deterioration is determined, the deterioration of the device can be diagnosed accurately. (3) The management facility learns a device model, which is a model of the device simulated by using a neural network method, based on the device information, so that the performance data based on the initial performance data and the device information received thereafter. Therefore, it is possible to comprehensively diagnose the deterioration state of the device. In particular, when the deterioration diagnosis is performed by acquiring a plurality of parameters, the deterioration state of the device can be diagnosed more comprehensively. (4) Since the device information is transmitted using the communication line, the deterioration of the device is diagnosed intensively at a remote place, so that the maintenance cost of the device can be reduced. (5) It is possible to diagnose device deterioration online using a communication line. (6) Initial performance data relating to a plurality of devices is stored in a database and registered, and deterioration diagnosis is performed for the plurality of devices. Therefore, deterioration of a plurality of devices can be diagnosed efficiently. (7) Since the performance data based on the device information received after the initial performance data is sequentially stored and the performance change of the device over time is diagnosed, the change of the deterioration state of the device can be grasped over time. (8) By transmitting the device information from the operating facility to the management facility using a telephone line or the Internet, high-speed transmission of the device information can be realized.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a functional configuration of a deterioration diagnosis device in an embodiment of a device deterioration diagnosis method and device according to the present invention.

FIG. 2 is a flowchart illustrating a process of acquiring initial performance data of an engine in one embodiment of the method and apparatus for diagnosing device deterioration according to the present invention.

FIG. 3 is a flowchart illustrating a device deterioration diagnosis process in an embodiment of the device deterioration diagnosis method and apparatus according to the present invention.

[Explanation of symbols]

Reference numeral 1: Equipment operating facility (operating facility) 1a: Engine (gas turbine) 1b: Plant generator 1c: Engine monitoring device (device monitoring device) 1d: Computer 1e: Communication interface (device-side communication means) 2 Data collection management facility (management facility) 2a Communication interface (management communication means) 2b Computer (device deterioration judgment means) 2c Operation panel 2d Database 3 Communication line

Claims (16)

[Claims] 1. A state of a device (1a) operated in an operating facility (1) is monitored, and device information obtained by the monitoring is transmitted from the operating facility via a communication line (3) to a remote management facility (1). Transmitting the data to 2), and determining the deterioration of the device based on the device information in the management facility. 2. The management facility first obtains initial performance data indicating initial characteristics of the device based on the device information in the initial state of the device, and then compares a parameter based on the received device information with the initial performance data. The method for diagnosing device deterioration according to claim 1, wherein the deterioration of the device is determined based on the following. 3. The method for diagnosing deterioration of a device according to claim 1, wherein the device information is transmitted via a telephone line or the Internet. 4. The management facility learns a device model, which is a model of a device simulated using a neural network method, based on the device information, based on the initial performance data and the device information received thereafter. 4. The method for diagnosing device deterioration according to claim 2, wherein the parameter is obtained. 5. The management facility according to claim 2, wherein the initial performance data relating to the plurality of devices is stored in a database and registered, and deterioration diagnosis is performed for the plurality of devices.
A method for diagnosing deterioration of a device according to any of the above. 6. The management facility judges degradation of equipment by comparing an initial performance data composed of a plurality of parameters with an evaluation function composed of a plurality of parameters based on equipment information received thereafter. 6. The method for diagnosing deterioration of a device according to claim 2, wherein 7. The device according to claim 2, wherein parameters based on the device information received after the initial performance data are sequentially stored, and a performance change of the device over time is diagnosed. Deterioration diagnosis method. 8. The method for diagnosing deterioration of equipment according to claim 1, wherein the equipment is a gas turbine of a power plant. 9. An equipment monitoring device (1c) provided in an operating facility (1) of the equipment (1a) for acquiring a state of the equipment (1a) as equipment information, and an equipment information acquired by the equipment monitoring apparatus. A device-side communication means (1e) for transmitting to the management facility (2) via the communication line (3); and a management-side communication means (equipped in the management facility for receiving device information transmitted from the device-side communication means). 2a) and device deterioration determining means (2b) for determining deterioration of the device based on device information received by the management-side communication means.
A device for diagnosing deterioration of a device, comprising: 10. The device deterioration judging means first acquires initial performance data indicating initial characteristics of the device based on the device information in the initial state of the device, and then obtains similar performance obtained based on the device information received thereafter. The device degradation diagnosis apparatus according to claim 9, wherein the device degradation is determined based on comparison with data. 11. The apparatus for diagnosing deterioration of a device according to claim 9, wherein the device-side communication means transmits the device information to the management-side communication means via a telephone line or the Internet. 12. The device deterioration judging means comprises: initial performance data obtained by learning a device model obtained by simulating a device by a neural network method based on device information; and device information received thereafter. 12. The apparatus for diagnosing deterioration of a device according to claim 10 or 11, wherein performance data obtained in the same manner is obtained based on the following. 13. The management facility includes a database for storing initial performance data relating to a plurality of devices, and the device deterioration determination unit performs deterioration diagnosis on the plurality of devices based on the database. Or 12
A device for diagnosing deterioration of any one of the devices. 14. The device deterioration judging means compares the initial performance data learned from the plurality of parameters with the performance data learned from the plurality of parameters based on the device information received thereafter to determine the deterioration of the device. The apparatus for diagnosing deterioration of a device according to claim 10, wherein the determination is performed. 15. The device deterioration judging means sequentially stores performance data based on device information received after the initial performance data, and diagnoses a performance change of the device over time.
15. The apparatus for diagnosing deterioration of an apparatus according to any one of to 14. 16. The apparatus for diagnosing deterioration of an apparatus according to claim 9, wherein the apparatus is a gas turbine of a power plant.