CN107391571A - The processing method and processing device of sensing data - Google Patents
The processing method and processing device of sensing data Download PDFInfo
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- CN107391571A CN107391571A CN201710462948.2A CN201710462948A CN107391571A CN 107391571 A CN107391571 A CN 107391571A CN 201710462948 A CN201710462948 A CN 201710462948A CN 107391571 A CN107391571 A CN 107391571A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The present invention relates to technical field of data processing, more particularly to a kind of processing method and processing device of sensing data.This method includes：File corresponding to respectively different types of sensor foundation, wherein, sensor one monitor control index of corresponding monitoring of a species；The second data that sensor is sent are received, the second data include monitoring data and sensor identification；Second data are to meet the data of preparatory condition in the first data of sensor collection；According to sensor identification, monitoring data is archived in file corresponding to sensor；Based on the monitoring data in file, monitoring data is analyzed according to monitor area, obtains the anomaly trend of monitor control index.The present invention is by the second data filing received in the file corresponding with mark, it can directly be corresponded to according to the mark of sensor and use the sensing data for having divided class in file, data are analyzed according to monitor area, obtain the anomaly trend of monitor control index, treatment effeciency is high.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of processing method and processing device of sensing data.
Background technology
At present, intelligent monitoring has become an important technology in internet development, and intelligent monitoring generally requires respectively
The other sensor of species such as Temperature Humidity Sensor, optical sensor and gray-scale sensor etc..In this big data epoch, for passing
The processing of the data of sensor collection is particularly important.The processing method to the data of sensor collection is usually according to biography at present
The data that the time order and function order that sensor sends data collects sensor all upload onto the server, right again in the server
It is focused on, called in processing procedure needed before the data of a certain sensor according to keyword scan for
Sort out, equivalent to secondary classification has been carried out, treatment effeciency is low.
Therefore, it is necessary to a kind of new technical scheme is proposed, to solve the above problems.
The content of the invention
In consideration of it, the embodiment of the present invention provides a kind of processing method and processing device of sensing data, to solve existing sensing
Need to carry out the problem of efficiency existing for secondary classification is low in device data handling procedure.
The first aspect of the embodiment of the present invention, there is provided a kind of processing method of sensing data, including：
File corresponding to respectively different types of sensor foundation, wherein, the sensor of a species is corresponding
Monitor a monitor control index；
The second data that the sensor is sent are received, second data include monitoring data and sensor identification；Institute
State the data for meeting preparatory condition in the first data of second data for sensor collection；The preparatory condition is the described first number
According to acquisition time be located at preset time range, or the numerical value of first data exceeds preset range；
According to the sensor identification, the monitoring data is archived in the file corresponding to the sensor；
Based on the monitoring data in the file, the kind of sensor in monitor area is to the sensor
Monitoring data is analyzed corresponding to species, obtains the anomaly trend of monitor control index corresponding to the kind of sensor.
It is described according to the sensor identification in the first possible implementation of first aspect, by the monitoring
Data filing in the file corresponding to the sensor, including：
By the supervising data storage in a document；
The monitoring data is classified according to the sensor identification, formed and the biography belonging to the sensor identification
The sort file of sensor species；
The sort file is stored in the corresponding file.
In second of possible implementation of first aspect, the processing method of the sensing data also includes：
The monitor area is divided into multiple monitoring subregions；
Based on the monitoring data in the file, it is corresponding to transfer the kind of sensor that the monitoring subregion includes
The monitoring data of monitor control index, and calculate the anomaly trend that the kind of sensor corresponds to monitor control index.
With reference to second of possible implementation of first aspect, in the third possible implementation, the sensing
The processing method of device data also includes：
When the anomaly trend of the monitor control index is more than or equal to default threshold value, each monitoring sub-district is calculated
The anomaly trend of the monitoring index corresponding to domain, find out the monitoring subregion for triggering the monitor control index abnormal and send early warning
Notice.
Second aspect, there is provided a kind of processing unit of sensing data, including：
Unit is established, for being respectively file corresponding to different types of sensor is established, wherein, the institute of a species
State sensor one monitor control index of corresponding monitoring；
Receiving unit, receives the second data that the sensor is sent, and second data include monitoring data and sensing
Device identifies；Second data are to meet the data of preparatory condition in the first data of sensor collection；
Profiling unit, according to the sensor identification, the monitoring data is archived in described corresponding to the sensor
In file；
Acquiring unit, based on the monitoring data in the file, the kind of sensor pair in monitor area
Monitoring data corresponding to the kind of sensor is analyzed, and the exception for obtaining monitor control index corresponding to the kind of sensor becomes
Gesture.
In the first possible implementation of first aspect, the profiling unit includes：
First storing sub-units, for by the supervising data storage in a document；
Classification subelement, for being classified according to the sensor identification to the monitoring data, formed and the biography
The sort file of kind of sensor belonging to sensor mark；
Second storing sub-units, for the sort file to be stored in the corresponding file.
In second of possible implementation of first aspect, the processing unit of the sensing data, in addition to：
Division unit, for the monitor area to be divided into multiple monitoring subregions；
Computing unit, for based on the monitoring data in the file, transferring what the monitoring subregion included
Kind of sensor corresponds to the monitoring data of monitor control index, and calculates the anomaly trend that the kind of sensor corresponds to monitor control index.
With reference to second of possible implementation of first aspect, in the third possible implementation, the sensing
The processing unit of device data also includes：
Determining unit, for when the anomaly trend of the monitor control index is more than or equal to default threshold value, counting
Anomaly trend corresponding to monitoring index described in calculating each monitoring subregion, finds out the monitoring sub-district for triggering the monitor control index abnormal
Domain simultaneously sends pre-alert notification.
The third aspect of the embodiment of the present invention provides a kind of processing unit of sensing data, including：Memory, processing
Device and it is stored in the computer program that can be run in the memory and on the processor, it is characterised in that the place
Reason device realizes following steps when performing the computer program：
File corresponding to respectively different types of sensor foundation, wherein, the sensor of a species is corresponding
Monitor a monitor control index；
The second data that the sensor is sent are received, second data include monitoring data and sensor identification；Institute
State the data for meeting preparatory condition in the first data of second data for sensor collection；The preparatory condition is the described first number
According to acquisition time be located at preset time range, or the numerical value of first data exceeds preset range；
According to the sensor identification, the monitoring data is archived in the file corresponding to the sensor；
Based on the monitoring data in the file, the kind of sensor in monitor area is to the sensor
Monitoring data is analyzed corresponding to species, obtains the anomaly trend of monitor control index corresponding to the kind of sensor.
The fourth aspect of the embodiment of the present invention provides a kind of computer-readable recording medium, the computer-readable storage
Media storage has computer program, it is characterised in that the computer program realizes following steps when being executed by processor：
File corresponding to respectively different types of sensor foundation, wherein, the sensor of a species is corresponding
Monitor a monitor control index；
The second data that the sensor is sent are received, second data include monitoring data and sensor identification；Institute
State the data for meeting preparatory condition in the first data of second data for sensor collection；The preparatory condition is the described first number
According to acquisition time be located at preset time range, or the numerical value of first data exceeds preset range；
According to the sensor identification, the monitoring data is archived in the file corresponding to the sensor；
Based on the monitoring data in the file, the kind of sensor in monitor area is to the sensor
Monitoring data is analyzed corresponding to species, obtains the anomaly trend of monitor control index corresponding to the kind of sensor.
Existing beneficial effect is the embodiment of the present invention compared with prior art：The embodiment of the present invention is according to sensor identification
By the second data filing received in the file corresponding with mark, without from the first data of sensor according to pass
Key word is searched for, and calls the data of a certain sensor, directly correspondingly can be used according to the mark of sensor in file
Divide the sensing data of good class, the data analyzed according to monitor area, obtain the anomaly trend of the monitor control index,
Treatment effeciency is high.In addition, it can be handled according to the data being actually needed in only being pressed from both sides to partial document, so as to obtain corresponding monitoring
The anomaly trend of index.Therefore data processing method is more flexible, and treatment effeciency further improves.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
In the required accompanying drawing used be briefly described, it should be apparent that, drawings in the following description be only the present invention some
Embodiment, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these
Accompanying drawing obtains other accompanying drawings.
Fig. 1 is the implementation process figure of the processing method for the sensing data that the embodiment of the present invention one provides；
Fig. 2 is sensor collection provided in an embodiment of the present invention and schematic diagram at the time of transmission data；
Fig. 3 is the particular flow sheet of the processing method for the sensing data that S103 is provided in the embodiment of the present invention one；
Fig. 4 is the implementation process figure of the processing method for the sensing data that the embodiment of the present invention three provides；
Fig. 5 is the implementation process figure of the processing method for the sensing data that the embodiment of the present invention four provides；
Fig. 6 is the structured flowchart of the processing unit for the sensing data that the embodiment of the present invention five provides；
Fig. 7 is the structured flowchart of the processing unit for the sensing data that the embodiment of the present invention six provides；
Fig. 8 is the structured flowchart of the processing unit for the sensing data that the embodiment of the present invention seven provides；
Fig. 9 is the structured flowchart of the processing unit for the sensing data that the embodiment of the present invention eight provides；
Figure 10 is the schematic diagram of the processing unit of sensing data provided in an embodiment of the present invention.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to embodiment party of the present invention
Formula is described in further detail.
Reference will now be made in detail to specific embodiment, the example of these embodiments is illustrated in the accompanying drawings.Following detailed
Many details are shown in thin description, in order to provide fully understanding to various described embodiments.But to this
It is readily apparent that various described embodiments can be in these details for the those of ordinary skill in field
In the case of put into practice.In other cases, well-known method, process, part, circuit and network are not described in detail,
So as to will not unnecessarily make the aspect of embodiment hard to understand.
The term used in the description to various described embodiments is intended merely to describe particular implementation herein
The purpose of example, and be not intended to be limited.Such as in the description and appended claims to various described embodiments
Used, single form "one", " one kind " and " described " be intended to also include plural form, unless context clearly refers in addition
Go out.Also it will be appreciated that term "and/or" used herein refers to and includes one or more of associated listed project
Individual any and all possible combination.It will additionally be understood that when term " comprising " and/or "comprising" make in this manual
Used time is not excluded the presence of or increased, it is specified that illustrated feature, integer, step, operation, the presence of element, and/or part
Add one or more other features, integer, operation, element, part and/or their packets.
Embodiment one
Fig. 1 shows the implementation process figure of the processing method for the sensing data that the embodiment of the present invention one provides.Such as Fig. 1 institutes
Show, the processing method of the sensing data specifically comprises the following steps S101 to step S104.
S101：File corresponding to respectively different types of sensor foundation, wherein, the sensor of a species
One monitor control index of corresponding monitoring.
For example, different types of sensor can include temperature sensor, humidity sensor and pressure sensor, temperature passes
Sensor correspondingly monitors monitoring temperature index, and humidity sensor corresponds to monitoring humidity monitor control index, the corresponding monitoring pressure of pressure sensor
Power monitor control index.Respectively temperature sensor, humidity sensor and pressure sensor establish corresponding to file A, file B and
File C.
S102：The second data that the sensor is sent are received, second data include monitoring data and sensor mark
Know；Second data are to meet the data of preparatory condition in the first data of sensor collection；The preparatory condition is described
The acquisition time of first data is located at preset time range, or the numerical value of first data exceeds preset range.
Wherein, there are much repeat or invalid data in the first data of sensor collection, so sensor is to adopting
First data of collection are screened to obtain the second data according to preparatory condition, and subsequent sensor sends the second data to server,
Server receives the second data.It is understood that second data include monitoring data and corresponding sensor identification.
For example, sensor includes temperature sensor, humidity sensor and pressure sensor, then the second data include：Monitoring temperature data
With temperature sensor mark, humidity control data and humidity sensor mark, pressure monitor data and pressure sensor mark.Need
It is noted that the first data and the second data are all monitoring datas, i.e. data of sensor collection, simply the second data be from
Screened in first data.
Sensor can periodically gather the first data, and the accordingly transmission of data can also be sent by periodicity
Mode realize.With reference to figure 2, the interval time of data acquisition is 1 second, and the interval time that data are sent is 1 second.Preset time
It can be the transmission period of data, the 2nd second to the 3rd second is one of preset time, carries out collection and the hair of data during this period
Send；Preset time is not belonging to, therefore does not send data within 3rd second to the 4th second；5th second to the 6th second is one of preset time, herein
Period carries out the transmission of data, but send-only data are that sensor gathered from the 5th second to the 6th second, this be in order to avoid with
Above-mentioned 2nd second to the 3rd second data overlap sent causes to repeat to send.Therefore, preset time can be the 2nd second to the 3rd second with
And the 5th second to the 6th second, default article was unsatisfactory for if the 1st second, the 4th second and the 7th second in the interim that need not send data
Part.For the ease of narration, unit in Fig. 2 is 1 second, it is to be understood that can be according to monitoring needs in practical application
It is adjusted, such as unit is adjusted to 10 seconds or 1 graded.
Different time sections preset range may be different, such as pressure value, humidity value, temperature value etc. can unite according to history
Count and draw.It is understood that only when the numerical value of the first data collected exceeds preset range, just by the first number
The second data beyond preset range in are transmitted.
In embodiments of the present invention, sensor only sends the second data for meeting preparatory condition in the first data, accordingly,
Server only receives the second data for meeting preparatory condition in the first data, can greatly reduce the data of server actual treatment
Amount, it is possible to increase the efficiency of data processing.
S103：According to the sensor identification, the monitoring data is archived in the file corresponding to the sensor
In folder.
For example, the second data in S102 include：Monitoring temperature data a1 and temperature sensor mark P, monitoring temperature number
According to a2 and temperature sensor mark P, monitoring temperature data a3 and temperature sensor mark P；Humidity control data b1 and humidity pass
Sensor identifies Q, humidity control data b2 and humidity sensor mark Q, humidity control data b3 and humidity sensor mark Q；Pressure
Power monitoring data c1 and pressure sensor mark W, pressure monitor data c2 and pressure sensor mark W, pressure monitor data c3
W is identified with pressure sensor.It has been respectively that temperature sensor, humidity sensor and pressure sensor foundation are corresponding in S101
File A, file B and file C.
P is identified according to temperature sensor, a1, a2 and a3 in the second data are archived in file A；According to humidity sensor
Device identifies Q, and b1, b2 and b3 in the second data are archived in into file B；Q is identified according to pressure sensor, by the second data
C1, c2 and c3 be archived in file C.
It should be noted that sensor identification P, Q and W are intended merely to conveniently describe, the present invention does not limit sensor mark
Knowledge is indicated and distinguished by single letter respectively.
S104：Based on the monitoring data in the file, the kind of sensor in monitor area is to described
Monitoring data is analyzed corresponding to kind of sensor, obtains the anomaly trend of monitor control index corresponding to the kind of sensor.
For example, it is currently needed for obtaining the anomaly trend of monitoring temperature index, it is only necessary to which the temperature in monitor area passes
The temperature index monitoring data that server is sent to corresponding to sensor is analyzed, then can be directly according to the mark of temperature sensor
Corresponding file A is found in knowledge, the temperature index monitoring data in file A is analyzed (for example, obtaining temperature index prison
The line chart that control data are formed) anomaly trend of monitoring temperature index can be obtained.In embodiments of the present invention, can be according to reality
Monitoring needs, and only the data in partial document folder (can also be all files folder) is handled, so as to obtain corresponding monitoring
The anomaly trend of index, acquisition modes are more flexible.
The embodiment of the present invention is according to sensor identification by the second data filing received in the file corresponding with mark
, can direct root without, according to keyword search, and calling the data of a certain sensor from the first data of sensor in folder
It is corresponding using the sensing data for having divided class in file according to the mark of sensor, the data are entered according to monitor area
Row analysis, obtains the anomaly trend of the monitor control index, and treatment effeciency is high.In addition, can according to be actually needed only to partial document
Data in folder are handled, so as to obtain the anomaly trend of corresponding monitor control index.Therefore data processing method is more flexible, processing
Efficiency further improves.
Embodiment two
As embodiment two provided by the invention, Fig. 3 shows the sensor number that S103 is provided in the embodiment of the present invention one
According to processing method particular flow sheet.As shown in figure 3, the processing method of the sensing data specifically comprises the following steps S301
To step S303.
S301：By the supervising data storage in a document.
Server receives monitoring data, by the supervising data storage received in a document.
S302：The monitoring data is classified according to the sensor identification, formed and the sensor identification institute
The sort file of the kind of sensor of category.
Because the monitoring data and sensor identification are that pairing occurs, will be deposited according to the sensor identification in document
The monitoring data of storage is classified as in the kind of sensor belonging to the sensor identification, sort file corresponding to formation.For example, file
Type can be txt.
S303：The sort file is stored in the corresponding file.
Sort file in S302 is stored in corresponding file.
For example, it has been respectively file A, text corresponding to temperature sensor, humidity sensor and pressure sensor are established
Part presss from both sides B and file C.Identified according to temperature sensor and the monitoring data of the monitoring temperature index stored in document is classified as temperature
In kind of sensor belonging to sensor identification, the sort file of temperature sensor is formed, by the sort file of temperature sensor
It is stored in file A.
In embodiments of the present invention, classification is carried out to the monitoring data by sensor identification and forms corresponding classification text
Part, criteria for classification is unified, and the degree of accuracy is high.
Embodiment three
Fig. 4 shows the implementation process figure of the processing method for the sensing data that the embodiment of the present invention three provides.Such as Fig. 4 institutes
Show, the processing method of the sensing data specifically comprises the following steps S401 to step S406.
S401：File corresponding to respectively different types of sensor foundation, wherein, the sensor of a species
One monitor control index of corresponding monitoring.
Step S401 implementation procedure is similar with the implementation procedure of the step S101 shown in Fig. 1, and here is omitted.
S402：The second data that the sensor is sent are received, second data include monitoring data and sensor mark
Know；Second data are to meet the data of preparatory condition in the first data of sensor collection；The preparatory condition is described
The acquisition time of first data is located at preset time range, or the numerical value of first data exceeds preset range.
Step S402 implementation procedure is similar with the implementation procedure of the step S102 shown in Fig. 1, and here is omitted.
S403：According to the sensor identification, the monitoring data is archived in the file corresponding to the sensor
In folder.
Step S403 implementation procedure is similar with the implementation procedure of the step S103 shown in Fig. 1, and here is omitted.
S404：Based on the monitoring data in the file, the kind of sensor in monitor area is to described
Monitoring data is analyzed corresponding to kind of sensor, obtains the anomaly trend of monitor control index corresponding to the kind of sensor.
Step S404 implementation procedure is similar with the implementation procedure of the step S104 shown in Fig. 1, and here is omitted.
S405：The monitor area is divided into multiple monitoring subregions.
For example, during the health status of monitoring road and bridge, monitor area can be divided into bridge face monitoring subregion, bridge bottom surface
Monitor subregion and bridge pier monitoring subregion.
S406：Based on the monitoring data in the file, the sensor kind that the monitoring subregion includes is transferred
Class corresponds to the monitoring data of monitor control index, and calculates the anomaly trend that the kind of sensor corresponds to monitor control index.
For example, monitor area is divided into three monitoring subregions is followed successively by monitoring subregion M, monitoring subregion N and prison
Control subregion S.When according to actual conditions, it is necessary to monitoring subregion S be monitored when, based on the prison in the file
Data are controlled, transfer the corresponding monitoring of kind of sensor (such as temperature sensor and pressure sensor) that the monitoring subregion includes
The monitoring data of index, calculate the anomaly trend of monitoring temperature index and the anomaly trend of pressure monitor index.
In embodiments of the present invention, can be to monitoring subregion by the way that monitor area is divided into multiple monitoring subregions
Independent monitoring is carried out, and the monitoring data that subregion can be only monitored to part according to being actually needed is analyzed, treatment effeciency
Further improve.
Example IV
Fig. 5 shows the implementation process figure of the processing method for the sensing data that the embodiment of the present invention four provides.Such as Fig. 5 institutes
Show, the processing method of the sensing data specifically comprises the following steps S501 to step S506.
S501：File corresponding to respectively different types of sensor foundation, wherein, the sensor of a species
One monitor control index of corresponding monitoring.
Step S501 implementation procedure is similar with the implementation procedure of the step S401 shown in Fig. 4, and here is omitted.
S502：The second data that the sensor is sent are received, second data include monitoring data and sensor mark
Know；Second data are to meet the data of preparatory condition in the first data of sensor collection；The preparatory condition is described
The acquisition time of first data is located at preset time range, or the numerical value of first data exceeds preset range.
Step S502 implementation procedure is similar with the implementation procedure of the step S402 shown in Fig. 4, and here is omitted.
S503：According to the sensor identification, the monitoring data is archived in the file corresponding to the sensor
In folder.
Step S503 implementation procedure is similar with the implementation procedure of the step S403 shown in Fig. 4, and here is omitted.
S504：Based on the monitoring data in the file, the kind of sensor in monitor area is to described
Monitoring data is analyzed corresponding to kind of sensor, obtains the anomaly trend of monitor control index corresponding to the kind of sensor.
Step S504 implementation procedure is similar with the implementation procedure of the step S404 shown in Fig. 4, and here is omitted.
S505：The monitor area is divided into multiple monitoring subregions.
Step S505 implementation procedure is similar with the implementation procedure of the step S405 shown in Fig. 4, and here is omitted.
S506：Based on the monitoring data in the file, the sensor kind that the monitoring subregion includes is transferred
Class corresponds to the monitoring data of monitor control index, and calculates the anomaly trend that the kind of sensor corresponds to monitor control index.
Step S506 implementation procedure is similar with the implementation procedure of the step S406 shown in Fig. 4, and here is omitted.
S507：When the anomaly trend of the monitor control index is more than or equal to default threshold value, each prison is calculated
The anomaly trend of the monitoring index corresponding to subregion is controlled, it is concurrent to find out the monitoring subregion for triggering the monitor control index abnormal
Send pre-alert notification.
Wherein, can be with different in different periods, default threshold value.When the anomaly trend of the monitor control index
During more than or equal to default threshold value (for example, monitor area monitoring temperature Indexes Abnormality), then each monitoring subregion is calculated
The anomaly trend of corresponding temperature monitoring index, if temperature monitoring Indexes Abnormality trend corresponding to only one monitoring subregion is bright
It is aobvious, then show the monitoring subregion to trigger the abnormal monitoring subregion of the monitor control index, by the positional information of the subregion
Deng transmission pre-alert notification to staff.
The embodiment of the present invention can be carried out only by the way that monitor area is divided into multiple monitoring subregions to monitoring subregion
Vertical monitoring, when the monitor control index anomaly trend of monitor area is more than or equal to default threshold value, calculates each monitoring respectively
The anomaly trend of the monitoring index corresponding to subregion, the monitoring subregion for triggering the monitor control index abnormal can be found out simultaneously
It is automatic to send pre-alert notification, reach the monitoring subregion for rapidly finding out and triggering monitor control index abnormal, it is with strong points, and it is easy to correlation
Staff takes preventive measures.
Embodiment five
Fig. 6 is refer to, the structured flowchart of the processing unit of the sensing data provided it illustrates the embodiment of the present invention five.
The processing unit of the sensing data, including：Establish unit 61, receiving unit 62, profiling unit 63 and acquiring unit 64.Its
In, the concrete function of each unit is as follows：
Unit 61 is established, for being respectively file corresponding to different types of sensor is established, wherein, species
The sensor one monitor control index of corresponding monitoring.
Receiving unit 62, receives the second data that the sensor is sent, and second data include monitoring data and biography
Sensor identifies.Second data are to meet the data of preparatory condition in the first data of sensor collection；The preparatory condition
It is located at preset time range for the acquisition time of first data, or the numerical value of first data exceeds preset range.
Profiling unit 63, according to the sensor identification, the monitoring data is archived in institute corresponding to the sensor
State in file.
Acquiring unit 64, based on the monitoring data in the file, the kind of sensor in monitor area
Monitoring data corresponding to the kind of sensor is analyzed, obtains the exception of monitor control index corresponding to the kind of sensor
Trend.
The embodiment of the present invention is according to sensor identification by all data filings received in the file corresponding with mark
, can be directly according to biography without, according to keyword search, and calling the data of a certain sensor from sensor database in folder
The mark of sensor is corresponding to use the sensing data for having divided class in file, and the data are divided according to monitor area
Analysis, obtains the anomaly trend of the monitor control index, and treatment effeciency is high.In addition, can according to be actually needed only to partial document press from both sides in
Data handled, so as to obtain the anomaly trend of corresponding monitor control index, therefore data processing method is more flexible, treatment effeciency
Further improve.
Embodiment six
Fig. 7 is refer to, the structured flowchart of the processing unit of the sensing data provided it illustrates the embodiment of the present invention six.
The processing unit of sensing data, including：Establish unit 61, receiving unit 62, profiling unit 63 and acquiring unit 64.Wherein,
The concrete function of each unit is as follows：
Unit 61 is established, for being respectively file corresponding to different types of sensor is established, wherein, species
The sensor one monitor control index of corresponding monitoring.
Receiving unit 62, receives the second data that the sensor is sent, and second data include monitoring data and biography
Sensor identifies.Second data are to meet the data of preparatory condition in the first data of sensor collection；The preparatory condition
It is located at preset time range for the acquisition time of first data, or the numerical value of first data exceeds preset range.
Profiling unit 63, according to the sensor identification, the monitoring data is archived in institute corresponding to the sensor
State in file.
Profiling unit 63 includes：First storing sub-units 631, the classification storing sub-units 633 of subelement 632 and second.Its
In, the concrete function of each subelement is as follows：
First storing sub-units 631, for by the supervising data storage in a document.
Classify subelement 632, for being classified according to the sensor identification to the monitoring data, formed with it is described
The sort file of kind of sensor belonging to sensor identification.
Second storing sub-units 633, for the sort file to be stored in the corresponding file.
Acquiring unit 64, based on the monitoring data in the file, the kind of sensor in monitor area
Monitoring data corresponding to the kind of sensor is analyzed, obtains the exception of monitor control index corresponding to the kind of sensor
Trend.
In embodiments of the present invention, classification is carried out to the monitoring data by sensor identification and forms corresponding classification text
Part, criteria for classification is unified, and the degree of accuracy is high.
Embodiment seven
Fig. 8 is refer to, the structured flowchart of the processing unit of the sensing data provided it illustrates the embodiment of the present invention seven.
The processing unit of sensing data, including：Establish unit 61, receiving unit 62, profiling unit 63, acquiring unit 64, division list
Member 71 and computing unit 72.Wherein, the concrete function of each unit is as follows：
Unit 61 is established, for being respectively file corresponding to different types of sensor is established, wherein, species
The sensor one monitor control index of corresponding monitoring.
Receiving unit 62, receives the second data that the sensor is sent, and second data include monitoring data and biography
Sensor identifies.Second data are to meet the data of preparatory condition in the first data of sensor collection；The preparatory condition
It is located at preset time range for the acquisition time of first data, or the numerical value of first data exceeds preset range.
Profiling unit 63, according to the sensor identification, the monitoring data is archived in institute corresponding to the sensor
State in file.
Acquiring unit 64, based on the monitoring data in the file, the kind of sensor in monitor area
Monitoring data corresponding to the kind of sensor is analyzed, obtains the exception of monitor control index corresponding to the kind of sensor
Trend.
Division unit 71, for the monitor area to be divided into multiple monitoring subregions.
Computing unit 72, for based on the monitoring data in the file, transferring the monitoring subregion to include
Kind of sensor correspond to the monitoring data of monitor control index, and calculate the kind of sensor and correspond to the exception of monitor control index
Gesture.
In embodiments of the present invention, can be to monitoring subregion by the way that monitor area is divided into multiple monitoring subregions
Independent monitoring is carried out, and the monitoring data that subregion can be only monitored to part according to being actually needed is analyzed, treatment effeciency
Further improve.
Embodiment eight
Fig. 9 is refer to, the structured flowchart of the processing unit of the sensing data provided it illustrates the embodiment of the present invention eight.
The processing unit of sensing data, including：Establish unit 61, receiving unit 62, profiling unit 63, acquiring unit 64, division list
Member 71, computing unit 72 and determining unit 81.Wherein, the concrete function of each unit is as follows：
Unit 61 is established, for being respectively file corresponding to different types of sensor is established, wherein, species
The sensor one monitor control index of corresponding monitoring.
Receiving unit 62, receives the second data that the sensor is sent, and second data include monitoring data and biography
Sensor identifies.Second data are to meet the data of preparatory condition in the first data of sensor collection；The preparatory condition
It is located at preset time range for the acquisition time of first data, or the numerical value of first data exceeds preset range.
Profiling unit 63, according to the sensor identification, the monitoring data is archived in institute corresponding to the sensor
State in file.
Acquiring unit 64, based on the monitoring data in the file, the kind of sensor in monitor area
Monitoring data corresponding to the kind of sensor is analyzed, obtains the exception of monitor control index corresponding to the kind of sensor
Trend..
Division unit 71, for the monitor area to be divided into multiple monitoring subregions.
Computing unit 72, for based on the monitoring data in the file, transferring the monitoring subregion to include
Kind of sensor correspond to the monitoring data of monitor control index, and calculate the kind of sensor and correspond to the exception of monitor control index
Gesture.
Determining unit 81, for when the anomaly trend of the monitor control index is more than or equal to default threshold value,
Anomaly trend corresponding to monitoring index described in calculating each monitoring subregion, find out monitoring for triggering the monitor control index abnormal
Region simultaneously sends pre-alert notification.
The embodiment of the present invention can be carried out only by the way that monitor area is divided into multiple monitoring subregions to monitoring subregion
Vertical monitoring, when the monitor control index anomaly trend of monitor area is more than or equal to default threshold value, calculates each monitoring respectively
The anomaly trend of the monitoring index corresponding to subregion, the monitoring subregion for triggering the monitor control index abnormal can be found out simultaneously
It is automatic to send pre-alert notification, reach the monitoring subregion for rapidly finding out and triggering monitor control index abnormal, it is with strong points, and it is easy to correlation
Staff takes preventive measures.
Although it should be appreciated that describing each element using the grade of term first, second herein, these elements should
This should not be limited by these terms.These terms are only applied to the element that is distinguished from each other.For example, the firstth storing sub-units can also
Referred to as the second storing sub-units, the second storing sub-units can also be referred to as the first storing sub-units without departing from the present invention's
Scope.First storing sub-units and the second storing sub-units are two storing sub-units, but they are not identical storage
Unit.
It is to be further understood that the embodiments of the present invention are for illustration only, the quality of embodiment is not represented.
It is to be further understood that the size of the sequence number of each step is not meant to the elder generation of execution sequence in above-described embodiment
Afterwards, the execution sequence of each process should be determined with its function and internal logic, the implementation process structure without tackling the embodiment of the present invention
Into any restriction.
Figure 10 is the schematic diagram of the processing unit of sensing data provided in an embodiment of the present invention.As shown in Figure 10, the reality
Applying the processing unit 10 of the sensing data of example includes：Processor 100, memory 110 and it is stored in the memory 110
And the computer program 120 that can be run on the processor 100, such as add the method program of self-defined participle.The place
Reason device 100 realizes the step in the embodiment of the method for above-mentioned each self-defined participle of addition when performing the computer program 120,
Such as the step S101 to S104 shown in Fig. 1.Or the processor 100 realize when performing the computer program 120 it is above-mentioned
The function of each unit in each device embodiment, such as the function of unit 61 to 64 shown in Fig. 6.
Exemplary, the computer program 120 can be divided into one or more module/units, it is one or
Multiple module/the units of person are stored in the memory 110, and are performed by the processor 100, to complete the present invention.Institute
It can be the series of computation machine programmed instruction section that can complete specific function to state one or more module/units, the instruction segment
For describing implementation procedure of the computer program 120 in the processing unit 10 of the sensing data.For example, the meter
Calculation machine program 120, which can be divided into, establishes unit, receiving unit, profiling unit and acquiring unit, each unit concrete function is such as
Under：
Unit is established, for being respectively file corresponding to different types of sensor is established, wherein, the institute of a species
State sensor one monitor control index of corresponding monitoring；
Receiving unit, receives the second data that the sensor is sent, and second data include monitoring data and sensing
Device identifies；Second data are to meet the data of preparatory condition in the first data of sensor collection；The preparatory condition is
The acquisition time of first data is located at preset time range, or the numerical value of first data exceeds preset range；
Profiling unit, according to the sensor identification, the monitoring data is archived in described corresponding to the sensor
In file；
Acquiring unit, based on the monitoring data in the file, the kind of sensor pair in monitor area
Monitoring data corresponding to the kind of sensor is analyzed, and the exception for obtaining monitor control index corresponding to the kind of sensor becomes
Gesture.
The processing unit 10 of the sensing data can be desktop PC, notebook, palm PC and high in the clouds clothes
The computing devices such as business device.The processing unit of the sensing data may include, but be not limited only to, processor 100, memory 110.
It will be understood by those skilled in the art that Figure 10 is only the example of the processing unit 10 of sensing data, do not form to sensing
The restriction of the processing unit 10 of device data, can be included than illustrating more or less parts, either combine some parts or
Different parts, such as the processing unit of the sensing data can also include input-output equipment, network access equipment, total
Line etc..
Alleged processor 100 can be CPU (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other PLDs, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng.
The memory 110 can be the internal storage unit of the processing unit 10 of the sensing data, such as sense
The hard disk or internal memory of the processing unit 10 of device data.The memory 110 can also be the processing unit of the sensing data
The plug-in type hard disk being equipped with 10 External memory equipment, such as the processing unit 10 of the sensing data, intelligent memory card
(Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card) etc..Enter
One step, the memory 110 can also both include the internal storage unit of the processing unit 10 of the sensing data or wrap
Include External memory equipment.The memory 110 is used for the processing dress for storing the computer program and the sensing data
Put required other programs and data.The memory 110, which can be also used for temporarily storing, have been exported or will export
Data.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each work(
Can unit, module division progress for example, in practical application, can be as needed and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device are divided into different functional units or module, more than completion
The all or part of function of description.Each functional unit, module in embodiment can be integrated in a processing unit, also may be used
To be that unit is individually physically present, can also two or more units it is integrated in a unit, it is above-mentioned integrated
Unit can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.In addition, each function list
Member, the specific name of module are not limited to the protection domain of the application also only to facilitate mutually distinguish.Said system
The specific work process of middle unit, module, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and is not described in detail or remembers in some embodiment
The part of load, it may refer to the associated description of other embodiments.
Those of ordinary skill in the art are it is to be appreciated that the list of each example described with reference to the embodiments described herein
Member and algorithm steps, it can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
Performed with hardware or software mode, application-specific and design constraint depending on technical scheme.Professional and technical personnel
Described function can be realized using distinct methods to each specific application, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that the processing unit of disclosed sensing data and side
Method, it can realize by another way.For example, the processing unit embodiment of sensing data described above is only to illustrate
Property, for example, the division of the module or unit, only a kind of division of logic function, can have other when actually realizing
Dividing mode, such as multiple units or component can combine or be desirably integrated into another system, or some features can neglect
Slightly, or do not perform.Another, shown or discussed mutual coupling or direct-coupling or communication connection can be passed through
The INDIRECT COUPLING of some interfaces, device or unit or communication connection, can be electrical, mechanical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated module/unit realized in the form of SFU software functional unit and as independent production marketing or
In use, it can be stored in a computer read/write memory medium.Based on such understanding, the present invention realizes above-mentioned implementation
All or part of flow in example method, by computer program the hardware of correlation can also be instructed to complete, described meter
Calculation machine program can be stored in a computer-readable recording medium, and the computer program can be achieved when being executed by processor
The step of stating each embodiment of the method..Wherein, the computer program includes computer program code, the computer program
Code can be source code form, object identification code form, executable file or some intermediate forms etc..Computer-readable Jie
Matter can include：Can carry any entity or device of the computer program code, recording medium, USB flash disk, mobile hard disk,
Magnetic disc, CD, computer storage, read-only storage (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It is it should be noted that described
The content that computer-readable medium includes can carry out appropriate increasing according to legislation in jurisdiction and the requirement of patent practice
Subtract, such as in some jurisdictions, electric carrier signal and electricity are not included according to legislation and patent practice, computer-readable medium
Believe signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although with reference to foregoing reality
Example is applied the present invention is described in detail, it will be understood by those within the art that：It still can be to foregoing each
Technical scheme described in embodiment is modified, or carries out equivalent substitution to which part technical characteristic；And these are changed
Or replace, the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical scheme, all should
Within protection scope of the present invention.
Claims (10)
- A kind of 1. processing method of sensing data, it is characterised in that including：File corresponding to respectively different types of sensor foundation, wherein, the sensor of a species is corresponding to be monitored One monitor control index；The second data that the sensor is sent are received, second data include monitoring data and sensor identification；Described Two data are to meet the data of preparatory condition in the first data of sensor collection；The preparatory condition is first data Acquisition time is located at preset time range, or the numerical value of first data exceeds preset range；According to the sensor identification, the monitoring data is archived in the file corresponding to the sensor；Based on the monitoring data in the file, the kind of sensor in monitor area is to the kind of sensor Corresponding monitoring data is analyzed, and obtains the anomaly trend of monitor control index corresponding to the kind of sensor.
- 2. data processing method as claimed in claim 1, it is characterised in that it is described according to the sensor identification, by described in Monitoring data is archived in the file corresponding to the sensor, including：By the supervising data storage in a document；The monitoring data is classified according to the sensor identification, formed and the sensor belonging to the sensor identification The sort file of species；The sort file is stored in the file corresponding to the sensor respectively.
- 3. data processing method as claimed in claim 1, it is characterised in that also include：The monitor area is divided into multiple monitoring subregions；Based on the monitoring data in the file, the corresponding monitoring of kind of sensor that the monitoring subregion includes is transferred The monitoring data of index, and calculate the anomaly trend that the kind of sensor corresponds to monitor control index.
- 4. data processing method as claimed in claim 3, it is characterised in that also include：When the anomaly trend of the monitor control index is more than or equal to default threshold value, each monitoring subregion pair is calculated The anomaly trend for the monitoring index answered, find out the monitoring subregion for triggering the monitor control index abnormal and send early warning and lead to Know.
- A kind of 5. processing unit of sensing data, it is characterised in that including：Unit is established, for being respectively file corresponding to different types of sensor is established, wherein, the biography of a species Sensor one monitor control index of corresponding monitoring；Receiving unit, receives the second data that the sensor is sent, and second data include monitoring data and sensor mark Know；Second data are to meet the data of preparatory condition in the first data of sensor collection；The preparatory condition is described The acquisition time of first data is located at preset time range, or the numerical value of first data exceeds preset range；Profiling unit, according to the sensor identification, the monitoring data is archived in the file corresponding to the sensor In folder；Acquiring unit, based on the monitoring data in the file, the kind of sensor in monitor area is to described Monitoring data is analyzed corresponding to kind of sensor, obtains the anomaly trend of monitor control index corresponding to the kind of sensor.
- 6. the processing unit of sensing data as claimed in claim 5, it is characterised in that the profiling unit includes：First storing sub-units, for by the supervising data storage in a document；Classification subelement, for being classified according to the sensor identification to the monitoring data, formed and the sensor The sort file of kind of sensor belonging to mark；Second storing sub-units, for the sort file to be stored in the corresponding file.
- 7. the processing unit of sensing data as claimed in claim 5, it is characterised in that also include：Division unit, for the monitor area to be divided into multiple monitoring subregions；Computing unit, for based on the monitoring data in the file, transferring the sensing that the monitoring subregion includes Device species corresponds to the monitoring data of monitor control index, and calculates the anomaly trend that the kind of sensor corresponds to monitor control index.
- 8. the processing unit of sensing data as claimed in claim 7, it is characterised in that also include：Determining unit, it is each for when the anomaly trend of the monitor control index is more than or equal to default threshold value, calculating Anomaly trend corresponding to monitoring index described in individual monitoring subregion, find out the monitoring subregion for triggering the monitor control index abnormal simultaneously Send pre-alert notification.
- 9. a kind of processing unit of sensing data, including memory, processor and it is stored in the memory and can be The computer program run on the processor, it is characterised in that realized such as during computer program described in the computing device The step of processing method of any one of claim 1 to 5 sensing data.
- 10. a kind of computer-readable recording medium, the computer-readable recording medium storage has computer program, and its feature exists In the processing side of realization sensing data as described in any one of claim 1 to 5 when the computer program is executed by processor The step of method.
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| CN201710462948.2A CN107391571A (en) | 2017-06-16 | 2017-06-16 | The processing method and processing device of sensing data |
| PCT/CN2017/093581 WO2018227705A1 (en) | 2017-06-16 | 2017-07-19 | Method and device for processing sensor data |
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