CN110503977A - A kind of substation equipment audio signal sample analysis system - Google Patents
A kind of substation equipment audio signal sample analysis system Download PDFInfo
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- CN110503977A CN110503977A CN201910631577.5A CN201910631577A CN110503977A CN 110503977 A CN110503977 A CN 110503977A CN 201910631577 A CN201910631577 A CN 201910631577A CN 110503977 A CN110503977 A CN 110503977A
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/27—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
Abstract
A kind of substation equipment audio signal sample analysis system belongs to monitoring field.Including one or more audio sample modules and a centralized control center, connected between audio sample module and centralized control center using wired or wireless network；Its audio sample module is fixed in target area to be monitored, obtains equipment and environmental audio by sound transducer, audio data is transferred to centralized control center by high speed network；The diagnostic analysis system of its centralized control center carries out diagnostic analysis to audio sample using cluster algorithm, to obtain equipment and environment real-time status, and real-time recording and storage is carried out to diagnostic message, effectively to realize equipment fault early-warning and fault location.The voice signal when system can be run by monitoring, record and analytical equipment, the monitoring system of real-time monitoring is carried out to equipment running status, is helped to grasp equipment practical operation situation, is improved the overhaul efficiency of equipment.It can be widely used for the operation monitoring field of unattended operation transformer station.
Description
Technical field
The invention belongs to monitoring field more particularly to a kind of audio signal sample analysis systems for substation equipment.
Background technique
With the continuous propulsion that China's smart grid is built, substation is as power grid towards it in the weight of intelligent development
Weight.Realized under the premise of guaranteeing safe and stable operation it is unattended, be under the new situation substation development inexorable trend.
Unattended operation transformer station fixes time interval to its routine inspection by service personnel, and carries out plant maintenance and necessary shape
State maintenance；By remote control center, operations staff monitors operating condition of transformer station equipment in real time；Individual's operation is then by certainly
Dynamicization equipment is automatic or completed by remote control.
As a kind of advanced operation and management mode, the unattended needs of substation are by various on-line monitorings and control
Technology, so as to the relevant information of substation equipment operation conditions can be obtained in time in the operations staff at remote control center,
And it is effectively controlled and managed.
With the formal publication of IEC61850 standard, the China Jin Liangnian creates the old transformer station in substation and transformation
Complex automatic system, generallyd use advanced ethernet communication technology, and be greatly improved substation equipment prison
Rapidity, stability and the reliability of control system.
With the propulsion of substation's centralized control mode and the raising of the degree of automation, so that especially becoming to substation equipment
The main primary equipment reliability such as depressor, GIS (GAS insulated SWITCHGEAR, gas-insulating and fully-enclosed combined electrical apparatus)
Requirement it is also harsher.Require novel monitoring system that can carry out continuing prison to its parameter in electric equipment operation simultaneously
It surveys, to assist the correct assessment equipment state of operations staff and carry out necessary repair based on condition of component, avoids device fails.
Power transformer and switchgear can issue characteristic sounds in the process of running, from sound frequency change and be distributed and
The power of signal, can relatively accurately discriminating device operating status and fault category.For example, working as 10kV distribution transformer just
Often when operation, have it is relatively slight it is uniform " drone " sound, signal frequency is lower, and intensity is weaker, this is the normal phenomenon of iron core self-vibration.
If acoustic low-pass component significantly aggravates, illustrate that transformer load is heavier；When there is abnormal high fdrequency component in sound, supply voltage
Excessively high possibility is larger；When inside transformer core construction loosens, random and noisy sound will occur, in multiple Frequency points
Upper appearance is abnormal；When of short duration extremely high frequency sound occurs in transformer, there is the possibility of explosion, coil or core inductance breakdown
Property it is high.
In order to grasp substation's real time execution situation comprehensively, find faulty equipment early, in live real work, compel to be essential
Voice signal when wanting one kind that can run by monitoring, record and analytical equipment carries out real-time monitoring to equipment running status
Monitoring system, with facilitate grasp equipment practical operation situation, improve the overhaul efficiency of equipment.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of substation equipment audio signal sample analysis systems.Its by
The audio sample module of distributed arrangement, communications network sum aggregate control center composition.In target area to be monitored, disperse cloth
Several audio sample modules are set, equipment is obtained in real time by 4 sound transducers that each module configures and environmental audio is believed
Number；Then audio data is transferred to by centralized control center by high speed Ethernet network；Centralized control center's hardware includes display and human-machine interface
Jaws equipment, software be a set of diagnostic analysis software systems, software systems to received audio signal by pretreatment after, using spectrum
Clustering algorithm carries out diagnostic analysis to audio sample.The sound when system can be run by monitoring, record and analytical equipment
Signal carries out the monitoring system of real-time monitoring to equipment running status, helps to grasp equipment practical operation situation, improves equipment
Overhaul efficiency.
The technical scheme is that a kind of substation equipment audio signal sample analysis system is provided, it is characterized in that:
The audio signal sample analysis system includes one or more audio sample modules and a centralized control center, institute
It is connected between the audio sample module stated and centralized control center using wired or wireless network；
Wherein, the audio sample module is fixed in target area to be monitored, obtains equipment by sound transducer
And environmental audio, audio data is transferred to by centralized control center by high speed network；
The diagnostic analysis system of the centralized control center carries out diagnostic analysis to audio sample using cluster algorithm, with
Equipment and environment real-time status are obtained, and real-time recording and storage is carried out to diagnostic message, effectively to realize equipment fault early-warning
And fault location.
Specifically, the audio sample module includes one or more audio collection units and sound pick-up, audio analysis
Unit, display and human interface device.
Specifically, the diagnostic analysis system is using spectral clustering parser and multilayer audio frequency characteristics diagnostic model to setting
Standby audio signal is analyzed, and transformer, the identification of switchgear typical case's abnormality may be implemented.
Further, clustering problem is converted figure segmentation problem by the spectral clustering, by data element structure
At undirected weighted graph be divided into several subgraphs so that segmentation cost is minimum, cluster is achieved the purpose that with this.
Clustering problem is converted figure segmentation problem by spectral clustering described in it, data element is constituted undirected
Weighted graph is divided into several subgraphs, so that segmentation cost is minimum, achievees the purpose that cluster with this.
Further, the basic step of the spectral clustering includes:
1) similar matrix of sample is constructed；
2) adjacency matrix, building degree matrix are constructed according to similar matrix；
3) Laplacian Matrix is calculated；
4) Laplacian Matrix after building standardization；
5) feature and corresponding feature vector are calculated；
6) by feature vector by row standardization, composition characteristic matrix；
7) every a line in eigenmatrix is clustered as a sample with the clustering method of input；
8) diagnosis is obtained according to cluster result.
Further, the spectral clustering introduces Laplacian Matrix, increases physically for the segmentation of figure
Meaning, to improve identification accuracy.
Substation equipment audio signal sample analysis system described in technical solution of the present invention by monitoring, record and is divided
Voice signal when desorption device is run carries out the monitoring system of real-time monitoring to equipment running status, helps to grasp equipment reality
Border operating condition improves the overhaul efficiency of equipment.
Further, substation's main equipment types are acquired and are established respectively equipment by the diagnostic analysis system needle
Audio data obtains the typical audio model of various equipment；And simulation analysis and collection in worksite are combined, it is different to obtain power equipment
Audio fingerprint feature under fault condition, establishes database, establishes necessary basis for the diagnostic analysis of equipment state；
Further, the diagnostic analysis system combines live inspection operation empirical data, audio fingerprint feature
Acquisition and analysis are as a result, establish audio diagnostic analysis knowledge base.Audio diagnosis is established respectively for different classes of, model equipment
Analysis model.By on-the-spot test and verifying, audio diagnostic model and knowledge base are continued to optimize.
Compared with the prior art, the invention has the advantages that
1. voice signal when can be run by monitoring, record and analytical equipment carries out equipment running status real-time
The monitoring system of monitoring improves the overhaul efficiency of equipment to help to grasp equipment practical operation situation；
2. introducing Laplacian Matrix in spectral clustering, meaning physically, Neng Gouti are increased for the segmentation of figure
Height identification accuracy；
3. acquiring and establishing respectively equipment audio data for substation's main equipment types, it is typical to obtain various equipment
Audio model；And simulation analysis and collection in worksite are combined, the audio fingerprint feature under the conditions of power equipment different faults is obtained, is built
Vertical database establishes necessary basis for the diagnostic analysis of equipment state.
Detailed description of the invention
Fig. 1 is that substation equipment audio fingerprint feature acquisition of the present invention and diagnostic analysis system constitute schematic diagram；
The composition block diagram of Fig. 2 audio sample unit of the present invention；
Fig. 3 a and Fig. 3 b are the circuit diagrams of audio collection circuit embodiments of the present invention；
Fig. 4 is spectral clustering implementation steps flow diagram of the present invention.
Specific embodiment
The present invention will be further described with reference to the accompanying drawing.
In Fig. 1, technical solution of the present invention relates generally to a kind of substation equipment audio signal sample analysis system side
Case.The system mainly includes the audio sample module of distributed arrangement, communications network sum aggregate control center.
In target area to be monitored, several audio sample modules of dispersed placement, 4 sound configured by each module
Sound sensor obtains equipment and environmental audio signal in real time；Then audio data is transferred in collection control by high speed Ethernet network
The heart；
Centralized control center's hardware includes display and human interface device, and software is a set of diagnostic analysis software systems, software system
System after pretreatment, carries out diagnostic analysis to audio sample using spectral clustering to received audio signal.
Clustering problem is converted figure segmentation problem by the spectral clustering, and undirected by data element composition adds
Weight graph is divided into several subgraphs, so that segmentation cost is minimum, achievees the purpose that cluster with this.
The basic step of the spectral clustering are as follows: 1) input data generates the adjacency matrix of figure；2) Laplce's square
Battle array normalization；3) characteristic value and corresponding feature vector are calculated；4) preceding k feature vector is clustered using K mean value.It is described
Clustering method introduce Laplacian Matrix, increase meaning physically for the segmentation of figure, identify that accuracy increases.It can
To realize transformer, the identification of switchgear typical case's abnormality, equipment fault early-warning and fault location can be effectively realized.
Specifically, the acquisition of substation equipment audio fingerprint feature and diagnostic analysis system are as shown in Figure 1.The substation
The acquisition of equipment audio fingerprint feature and diagnostic system analysis system include one or more pick-up units 1, audio collection unit
2, the parts such as audio analysis unit 3, display and human interface device 4.2 yuan of audio sample list are setting for entire monitoring system front end
It is standby, it is fixed in substation in region to be monitored, passes through pick-up units 1 and obtain power equipment and environmental audio.Audio sample
The performance of unit 2 is directly related to the quality of audio sample sample and the accuracy rate of audio diagnostic analysis result.
Diagnostic analysis system needle of the present invention acquires and establishes respectively equipment audio to substation's main equipment types
Data obtain the typical audio model of various equipment；And simulation analysis and collection in worksite are combined, obtain power equipment different faults
Under the conditions of audio fingerprint feature, establish database, establish necessary basis for the diagnostic analysis of equipment state.
Further, the diagnostic analysis system combines live inspection operation empirical data, and audio fingerprint feature is adopted
Collection and analysis are as a result, establish audio diagnostic analysis knowledge base.Audio diagnosis point is established respectively for different classes of, model equipment
Analyse model.By on-the-spot test and verifying, audio diagnostic model and knowledge base are continued to optimize.
Technical solution of the present invention has also set up fingerprint characteristic data library, running equipment point on the host of centralized control center
Analyse diagnostic program.
In Fig. 2, technical solution of the present invention, using double TLV320AIC23B audio sample circuit design audio sample lists 2,
And pick-up units 1 use high-fidelity high-frequency low-noise sound pick-up, can largely improve the quality of audio.When target is supervised
Survey range it is larger when, by by 1 distributed arrangement of multiple audio sample units 2 and pick-up units, by an audio analysis list
Member 3 carries out data summarization, and the diagnostic analysis system in audio analysis unit 3 carries out audio sample using spectral clustering parser
Diagnostic analysis extracts fault characteristic signals and determining failure of classifying.
Specifically, the audio sample unit 2 is by MCU control unit 5, audio collection circuit 6, sound pick-up 7, power management
Circuit 8, network communications circuits 9, serial communication circuit 10 and display equipment 11 form.The MCU control unit 5 is with STM32
Core processor controls the preposition processing of audio signal and completes ICP/IP protocol communications.The audio sample unit 2 is adopted
The function of CSMA/CD agreement, MAC protocol and physical layer protocol, agreement are completed with commodity ethernet interface chip RTL8019AS
Other parts function then by STM32 software realization.
The audio collection unit 6 includes to the preposition processing of audio signal, low-pass filtering, signal isolation and modulus turn
It changes；Two panels TLV320AIC23B chip can be used and complete processing while to 4 channel audio signals.The audio collection unit
6 carry out an anti-aliasing filter, i.e. low-pass filtering first.Meanwhile quarantine measures must be taken to reduce modulus after the filtering
Interfering with each other between signal.
The MCU control unit 5 passes through double TLV320AIC23B audio sample circuits can acquire four tunnel audios letter simultaneously
Number (four direction) passes through network communication circuit and collection control main-machine communication, after audio data is sent to collection control host, collection control master
Chance passes through network transmission diagnostic analysis as a result, MCU control unit 5 is being shown diagnostic message displaying by serial port unit simultaneously
In equipment 11, so that patrol officer checks.
As illustrated in figures 3 a and 3b, circuit includes the input of resistance-capacitance network composition to the embodiment of the audio collection circuit
The part such as conditioning circuit, sampling A/D chip and crystal oscillator forms.Sampling A/D chip is using TLV320AIC23B chip, it can be achieved that binary channels sound
The parallel processing of frequency signal.
Since above-mentioned attached drawing is drawn and is marked using national standard, therefore those skilled in the art, with can having no contrary opinion
Learn and understand wherein element meaning and interconnected relationship, therefore to its specific circuit connecting relation and working principle, no longer
It is described.
The failure of the diagnostic system analysis system being characterized mainly in that using spectral clustering analysis substation equipment
Clustering problem is converted figure segmentation problem by type, spectral clustering, and the undirected weighted graph that data element is constituted divides
Cluster is achieved the purpose that with this so that segmentation cost is minimum for several subgraphs.The implementation basic step of the clustering algorithm is as schemed
Shown in 4.
Specifically, the basic step of the spectral clustering are as follows:
1) similar matrix of sample is constructed；
2) adjacency matrix, building degree matrix are constructed according to similar matrix；
3) Laplacian Matrix is calculated；
4) Laplacian Matrix after building standardization；
5) feature and corresponding feature vector are calculated；
6) by feature vector by row standardization, composition characteristic matrix；
7) every a line in eigenmatrix is clustered as a sample with the clustering method of input；
8) diagnosis is obtained according to cluster result.
Clustering method described in it introduces Laplacian Matrix, increases meaning physically for the segmentation of figure, identification is quasi-
True property increases.May be implemented transformer, switchgear typical case's abnormality identification, can effectively realize equipment fault early-warning and
Fault location.
Technical solution of the present invention acquires and establishes respectively equipment audio data for substation's main equipment types, obtains
Take the typical audio model of various equipment.And simulation analysis and collection in worksite are combined, under the conditions of acquisition power equipment different faults
Audio fingerprint feature, establish database, establish necessary basis for the diagnostic analysis of equipment state.It combines live inspection operation
Empirical data, the acquisition and analysis of audio fingerprint feature are as a result, establish audio diagnostic analysis knowledge base.For different classes of, type
Number equipment establish audio diagnostic analysis model respectively.By on-the-spot test and verifying, continues to optimize audio diagnostic model and know
Know library.
It invention can be widely used in the operation monitoring field of unattended operation transformer station.
Claims (10)
1. a kind of substation equipment audio signal sample analysis system, it is characterized in that:
The audio signal sample analysis system includes one or more audio sample modules and a centralized control center, described
It is connected between audio sample module and centralized control center using wired or wireless network；
Wherein, the audio sample module is fixed in target area to be monitored, obtains equipment and ring by sound transducer
Audio data is transferred to centralized control center by high speed network by border audio；
The diagnostic analysis system of the centralized control center carries out diagnostic analysis to audio sample using cluster algorithm, to obtain
Equipment and environment real-time status, and real-time recording and storage is carried out to diagnostic message, effectively to realize equipment fault early-warning and event
Barrier positioning.
2. substation equipment audio signal sample analysis system described in accordance with the claim 1, it is characterized in that the audio is adopted
Egf block includes one or more audio collection units and sound pick-up, audio analysis unit, display and human interface device.
3. substation equipment audio signal sample analysis system described in accordance with the claim 1, it is characterized in that the diagnosis point
Analysis system analyzes equipment audio signal using spectral clustering parser and multilayer audio frequency characteristics diagnostic model, may be implemented
Transformer, the identification of switchgear typical case's abnormality.
4. substation equipment audio signal sample analysis system described in accordance with the claim 3, it is characterized in that the spectral clustering
Clustering problem is converted figure segmentation problem by algorithm, and the undirected weighted graph that data element is constituted is divided into several subgraphs,
So that segmentation cost is minimum, cluster is achieved the purpose that with this.
5. substation equipment audio signal sample analysis system described in accordance with the claim 3, it is characterized in that the spectral clustering
Clustering problem is converted figure segmentation problem by algorithm, and the undirected weighted graph that data element is constituted is divided into several subgraphs,
So that segmentation cost is minimum, cluster is achieved the purpose that with this.
6. substation equipment audio signal sample analysis system according to claim 5, it is characterized in that the spectral clustering is calculated
The basic step of method includes:
1) similar matrix of sample is constructed；
2) adjacency matrix, building degree matrix are constructed according to similar matrix；
3) Laplacian Matrix is calculated；
4) Laplacian Matrix after building standardization；
5) feature and corresponding feature vector are calculated；
6) by feature vector by row standardization, composition characteristic matrix；
7) every a line in eigenmatrix is clustered as a sample with the clustering method of input；
8) diagnosis is obtained according to cluster result.
7. substation equipment audio signal sample analysis system described in accordance with the claim 1, it is characterized in that the spectral clustering
Algorithm introduces Laplacian Matrix, meaning physically is increased for the segmentation of figure, to improve identification accuracy.
8. substation equipment audio signal sample analysis system described in accordance with the claim 1, it is characterized in that the substation
Equipment audio signal sample analysis system, voice signal when being run by monitoring, record and analytical equipment run shape to equipment
State carries out the monitoring system of real-time monitoring, helps to grasp equipment practical operation situation, improves the overhaul efficiency of equipment.
9. substation equipment audio signal sample analysis system described in accordance with the claim 1, it is characterized in that the diagnosis point
Analysis system acquires and establishes respectively equipment audio data for substation's main equipment types, obtains the typical audio of various equipment
Model；And simulation analysis and collection in worksite are combined, the audio fingerprint feature under the conditions of power equipment different faults is obtained, number is established
According to library, necessary basis is established for the diagnostic analysis of equipment state.
10. substation equipment audio signal sample analysis system described in accordance with the claim 1, it is characterized in that the diagnosis point
Analysis system combines live inspection operation empirical data, and the acquisition and analysis of audio fingerprint feature are as a result, establish audio diagnostic analysis
Knowledge base.Audio diagnostic analysis model is established respectively for different classes of, model equipment.By on-the-spot test and verifying, no
Disconnected optimization audio diagnostic model and knowledge base.
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| CN111933177A (en) * | 2020-07-23 | 2020-11-13 | 安徽声讯信息技术有限公司 | Intelligent fault analysis method and system based on machine sound wave recognition |
| CN113124929A (en) * | 2021-04-13 | 2021-07-16 | 国网陕西省电力公司铜川供电公司 | Transformer substation multi-parameter signal acquisition comprehensive analysis system and method |
| CN113409814A (en) * | 2021-06-02 | 2021-09-17 | 国家石油天然气管网集团有限公司西气东输分公司 | Intelligent monitoring method and system for operation of natural gas station equipment |
| CN113659709A (en) * | 2021-07-13 | 2021-11-16 | 国网浙江省电力有限公司金华供电公司 | Switching station operation monitoring system and method based on voice recognition |
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| CN114757225A (en) * | 2022-03-31 | 2022-07-15 | 北京百度网讯科技有限公司 | Method, device and equipment for determining signal sampling quality and storage medium |
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| CN111933177A (en) * | 2020-07-23 | 2020-11-13 | 安徽声讯信息技术有限公司 | Intelligent fault analysis method and system based on machine sound wave recognition |
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| CN113409814A (en) * | 2021-06-02 | 2021-09-17 | 国家石油天然气管网集团有限公司西气东输分公司 | Intelligent monitoring method and system for operation of natural gas station equipment |
| CN113409814B (en) * | 2021-06-02 | 2022-09-20 | 国家石油天然气管网集团有限公司西气东输分公司 | Intelligent monitoring method and system for operation of natural gas station equipment |
| CN113659709A (en) * | 2021-07-13 | 2021-11-16 | 国网浙江省电力有限公司金华供电公司 | Switching station operation monitoring system and method based on voice recognition |
| CN113659709B (en) * | 2021-07-13 | 2022-09-09 | 国网浙江省电力有限公司金华供电公司 | Switching station operation monitoring system and method based on voice recognition |
| CN113793626A (en) * | 2021-08-09 | 2021-12-14 | 邹平市供电有限公司 | Power equipment running state monitoring system and method |
| CN114757225A (en) * | 2022-03-31 | 2022-07-15 | 北京百度网讯科技有限公司 | Method, device and equipment for determining signal sampling quality and storage medium |
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Application publication date: 20191126 |