CA2823546A1 - Sound abnormality detection system for power device and method thereof - Google Patents
Sound abnormality detection system for power device and method thereof Download PDFInfo
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Abstract
A sound abnormality detection system for power device comprises an audio detection subsystem and a computer subsystem wirelessly communicated with the audio detection subsystem. The audio detection subsystem comprises an audio collection module, a video service module, an audio training and identification module, a storage module, and a first communication module. The audio collection module is connected with the video service module, the audio training and identification module and the first communication module in turn. The storage module is connected with the audio training and identification module bidirectionally. The computer subsystem comprises a host machine, an audio data display module, an alarm module, and a second communication module. The host machine is connected with the audio data display module, the alarm module, and the second communication module respectively. The detection system is flexible, low cost and highly reliable.
Description
SOUND ABNORMALITY DETECTION SYSTEM FOR POWER DEVICE AND
METHOD THEREOF
FIELD OF THE INVENTION
[0001] The invention relates to the field of electric power device detection, and particularly to a sound abnormality detection system and method for a substation device.
BACKGROUND OF THE INVENTION
METHOD THEREOF
FIELD OF THE INVENTION
[0001] The invention relates to the field of electric power device detection, and particularly to a sound abnormality detection system and method for a substation device.
BACKGROUND OF THE INVENTION
[0002] At present, normal running of the substation still relies mainly on manual on-site patrol inspection and maintenance. This way has two problems as follows: 1. a safety problem of a patrol inspection staff, the substation is a dangerous environment which is full of high voltage and discharge, which is prone to cause injuries to the body of the patrol inspection staff; 2. an effect problem of the manual patrol inspection, the staff is prone to get tired and slack when he/she performs repeated mechanical works, which may lower the patrol inspection effect and quality of the patrol inspection, moreover, the manual patrol inspection can not meet the suddenness and timeliness of a fault that occurs to the substation device.
Therefore, the effect of the manual patrol inspection is instable, and the reliability thereof can not be improved.
Therefore, the effect of the manual patrol inspection is instable, and the reliability thereof can not be improved.
[0003] Some substations begin to try to use an automatic, intelligent system to assist or replace the manual patrol inspection, and demand for the unattended substation is increasing.
In the aspect of sound detection for a substation device, researches have been made mainly on substation device monitoring method and an ultrasonic detection method. The substation device monitoring method relies mainly on an audio sensor and a central processor mounted on the device body, which has two disadvantages as follows: 1. it requires a fixed point and closely attaching to the body, therefore the arrangement position of the audio sensor must be fixed, which is inflexible; 2. each substation device needs to be provided with a separate audio sensor, too many sensor devices will lead to arrangement difficulties and higher cost.
The ultrasonic detection method has the disadvantages of high cost and being unable to achieve real-time continuous detection.
- -SUMMARY OF THE INVENTION
In the aspect of sound detection for a substation device, researches have been made mainly on substation device monitoring method and an ultrasonic detection method. The substation device monitoring method relies mainly on an audio sensor and a central processor mounted on the device body, which has two disadvantages as follows: 1. it requires a fixed point and closely attaching to the body, therefore the arrangement position of the audio sensor must be fixed, which is inflexible; 2. each substation device needs to be provided with a separate audio sensor, too many sensor devices will lead to arrangement difficulties and higher cost.
The ultrasonic detection method has the disadvantages of high cost and being unable to achieve real-time continuous detection.
- -SUMMARY OF THE INVENTION
[0004] The technical problem to be solved by the invention is to provide a sound abnormality detection system and method with flexible detection and low cost, which mainly uses a technique of sound signal processing and pattern recognition to perform sound detection to a substation device, to determine whether there are abnormalities or internal faults in the device, thereby maintaining normal operation of the substation and meanwhile ensuring the safety of a staff.
To solve the technical problem described above, the technical solution used by the invention is as follows.
1. First technical solution [0005] A sound abnormality detection system for an electric power device, the system includes an audio detection subsystem and a computer subsystem wirelessly communicating with the audio detection subsystem.
To solve the technical problem described above, the technical solution used by the invention is as follows.
1. First technical solution [0005] A sound abnormality detection system for an electric power device, the system includes an audio detection subsystem and a computer subsystem wirelessly communicating with the audio detection subsystem.
[0006] The audio detection subsystem includes an audio collection module, a video service module, an audio training and identifying module, a storage module, and a first communication module; an output of the audio collection module is connected with an input of the video service module, an output of the video service module is connected with a corresponding input of the audio training and identifying module, a corresponding output of the audio training and identifying module is connected with an input of the first communication module, and the storage module is connected with the audio training and identifying module bidirectionally.
[0007] The computer subsystem includes a host computer installed with a base station backstage software system, an audio data display module, an alarm module and a second communication module; an output of the second communication module is connected with a corresponding input of the host computer; corresponding outputs of the computer host are respectively connected with an input of the audio data display module and an input of the alarm module.
[0008] Preferably, the system further includes a patrol inspection platform, the patrol inspection platform includes a walking mechanism and a control module for controlling the walking mechanism and the audio detection subsystem is provided on the patrol inspection platform.
[0009] The audio training and identifying module includes an ARM9 microprocessor and a DSP microprocessor.
[0010] The patrol inspection platform uses an electric power patrol inspection robot with a model of LER-3000.
2. Second technical solution [0011] A detection method applied in the sound abnormality detection system for an electric power device, which includes the following steps:
(1) starting a electric power patrol inspection robot;
(2) moving the electric power patrol inspection robot to an electric power device patrol inspection point according to a designated route, triggering an initiator of the audio collection module, so that the audio collection module collects audio data of the electric power device;
(3) receiving, by a video service module, the audio data collected by the audio collection module, performing digital signal compression and transmission;
(4) receiving, by an audio training and identifying module, the audio data transmitted by the video service module, and performing training or identification to the audio data, which includes:
2. Second technical solution [0011] A detection method applied in the sound abnormality detection system for an electric power device, which includes the following steps:
(1) starting a electric power patrol inspection robot;
(2) moving the electric power patrol inspection robot to an electric power device patrol inspection point according to a designated route, triggering an initiator of the audio collection module, so that the audio collection module collects audio data of the electric power device;
(3) receiving, by a video service module, the audio data collected by the audio collection module, performing digital signal compression and transmission;
(4) receiving, by an audio training and identifying module, the audio data transmitted by the video service module, and performing training or identification to the audio data, which includes:
[0012] firstly determining whether to perform training on the audio data, and if a training is required, entering a training program to train the operating sound of a normal substation device so as to obtain an audio feature library, and storing the audio feature library in the storage module; and [0013] if no training is required, entering an identifying program, in which the DSP
microprocessor firstly extracts a sub-band feature of the currently collected audio data, and then compares the sub-band feature with the audio feature library stored in the storage module;
microprocessor firstly extracts a sub-band feature of the currently collected audio data, and then compares the sub-band feature with the audio feature library stored in the storage module;
[0014] (5) transmitting, by the audio training and identifying module, a comparison result to the host computer by a real-time communication between the first communication module and the second communication module, wherein if the comparison result is abnormal, a alarm module sounds an alarm sound, and an audio data display module displays the waveform data and the sub-band feature of the audio; otherwise, only the waveform data and the sub-band feature of the audio are output; and [0015] (6) determining whether an patrol inspection route has been inspected completely, and if the patrol inspection route have been inspected completely, ending;
otherwise, performing step (2).
otherwise, performing step (2).
[0016] The audio detection subsystem in the invention gives the detection result mainly for abnormalities or internal faults that may occur in the substation and can be determined from the sound. Substation device faults capable of being reflected by a sound mainly include:
device internal discharge, insulator discharge, electromagnetic vibration sound abnormality, fan or oil pump electric motor rotation abnormalities, and capacitor sound abnormality, etc.
The workflow of the audio detection subsystem is basically as follows: an patrol inspection robot repeatedly performs patrol inspection in the substation according to a designated route or task, and the patrol inspection robot may perform patrol inspection in one day for several times, and the patrol inspection covers most of geographical range of the substation. The audio collection module in the audio detection subsystem may collect in real-time the operating sound of the substation device at a location where the patrol inspection robot arrives.
The audio training and identifying module identifies the sound, and thereby determines whether there are abnormalities or faults in the device. If it is found that there is a fault, the audio detection subsystem sends an alarm message to the base station backstage software system to notify the staff on duty in the substation, thereby the staff on duty may quickly take settlement measures to eliminate the fault or hazard, thereby ensuring safe operation of the substation.
device internal discharge, insulator discharge, electromagnetic vibration sound abnormality, fan or oil pump electric motor rotation abnormalities, and capacitor sound abnormality, etc.
The workflow of the audio detection subsystem is basically as follows: an patrol inspection robot repeatedly performs patrol inspection in the substation according to a designated route or task, and the patrol inspection robot may perform patrol inspection in one day for several times, and the patrol inspection covers most of geographical range of the substation. The audio collection module in the audio detection subsystem may collect in real-time the operating sound of the substation device at a location where the patrol inspection robot arrives.
The audio training and identifying module identifies the sound, and thereby determines whether there are abnormalities or faults in the device. If it is found that there is a fault, the audio detection subsystem sends an alarm message to the base station backstage software system to notify the staff on duty in the substation, thereby the staff on duty may quickly take settlement measures to eliminate the fault or hazard, thereby ensuring safe operation of the substation.
[0017] The beneficial effects of using the technical solution described above are as follows:
1) the working way in which the manual patrol inspection is assisted or replaced by the patrol inspection platform may effectively eliminate a working risk of a staff and protect personal security; 2) the audio detection subsystem may effectively detect abnormal sound of the substation device and improve patrol inspection reliability and stability to maintain normal operation of the substation; 3) the patrol inspection platform repeatedly inspects all the devices in the substation, which is flexible, convenient, freely controlled, and only one sound pickup device is required to be assembled, thereby the number of the audio sensors and configuration difficulty in other solutions are reduced, the advantages of low cost, simplicity of devices and high reliability are obtained; 4) the audio detection subsystem communicates with the computer subsystem in real time, the computer subsystem can receive, analyze, display all kinds of audio data in real time, and sound an alarm for an abnormal result in time, thereby assists the staff to quickly eliminate an operation hazard or fault of the device, and ensures patrol inspection quality.
BRIEF DESCRIPTION OF THE DRAWINGS
1) the working way in which the manual patrol inspection is assisted or replaced by the patrol inspection platform may effectively eliminate a working risk of a staff and protect personal security; 2) the audio detection subsystem may effectively detect abnormal sound of the substation device and improve patrol inspection reliability and stability to maintain normal operation of the substation; 3) the patrol inspection platform repeatedly inspects all the devices in the substation, which is flexible, convenient, freely controlled, and only one sound pickup device is required to be assembled, thereby the number of the audio sensors and configuration difficulty in other solutions are reduced, the advantages of low cost, simplicity of devices and high reliability are obtained; 4) the audio detection subsystem communicates with the computer subsystem in real time, the computer subsystem can receive, analyze, display all kinds of audio data in real time, and sound an alarm for an abnormal result in time, thereby assists the staff to quickly eliminate an operation hazard or fault of the device, and ensures patrol inspection quality.
BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Figure 1 shows a functional block diagram of an embodiment of the invention;
[0019] Figure 2 is a flow chart of a detection method of an embodiment of the invention;
and [0020] Figure 3 is a software flow chart of an audio training and identifying module of the invention.
DETAILED DESCRIPTION OF THE INVENTION
and [0020] Figure 3 is a software flow chart of an audio training and identifying module of the invention.
DETAILED DESCRIPTION OF THE INVENTION
[0021] Referring to Figure 1, the embodiments include an audio detection subsystem and a computer subsystem wirelessly communicating with the audio detection subsystem;
[0022] The audio detection subsystem includes an audio collection module, a video service module, an audio training and identifying module, a storage module, and a first communication module; an output of the audio collection module is connected with an input of the video service module, an output of the video service module is connected with a corresponding input of the audio training and identifying module, a corresponding output of the audio training and identifying module is connected with an input of the first communication module, and the storage module is connected with the audio training and identifying module bidirectionally.
[0023] The computer subsystem includes a host computer installed with a base station backstage software system, an audio data display module, an alarm module and a second communication module; a corresponding output of the computer host is respectively connected with an input of the audio data display module and an input of the alarm module;
and an output of the second communication module is connected with a corresponding input of the host computer.
and an output of the second communication module is connected with a corresponding input of the host computer.
[0024] The embodiment further includes a patrol inspection platform, and the patrol inspection platform uses an electric power patrol inspection robot (hereinafter referred to as robot) with a model of LER-3000. The electric power patrol inspection robot is a carrier of the audio detection subsystem and is responsible for carrying the audio detection subsystem and performing the patrol inspection task. A corresponding output of the robot is connected with an initiator of the audio collection module, and when the robot moves to a set device point according to a designated route, the corresponding output of the robot will trigger the initiator of the audio collection module, and the audio collection module begins to collect the operating sound of the device.
[0025] The audio collection module adopts a sound pickup device which can achieve a high-fidelity sound recording operation in an outdoor and long-distance environment. The sound pick-up device is mounted in the front part of the inspect robot, collects the sound of the substation device at a location where the robot arrives. The sound pickup device uses a firm, durable and beautiful metal housing, has an electroplated surface, and has the characteristic of waterproof, moisture proof, high-fidelity and low noise, thereby providing reliable audio data for the subsequent audio signal processing.
[0026] The video service module is directly connected with the sound pickup device, for receiving audio data of the sound pickup device, performing the function of digital signal compression and transmission. In which, the compression format adopts an A-law PCM
(Pulse Code Modulation) format, and the transmission way adopts the TCP/IP
protocol transmission standard.
(Pulse Code Modulation) format, and the transmission way adopts the TCP/IP
protocol transmission standard.
[0027] The audio training and identifying module is mounted in the robot, and consists of an ARM9 microprocessor and a DSP microprocessor; the ARM9 microprocessor adopts an S3C2440 chip, for receiving the audio data transmitted from the video service module so as to achieve the function of data communication; the DSP microprocessor adopts an TMS320X2812 chip, for performing the function of audio data training and identifying. The audio training and identifying includes a training program and an identifying program. The training program trains operating sound of a normal substation device by a VQ
(Vector Quantization) algorithm to obtain a normal sound feature library, and stores the feature library in the storage module; the training work is required to be performed only once, and so that all the audio identification works can be performed by using the feature library.
The identifying program is that, the DSP microprocessor firstly extracts a sub-band feature of the currently collected audio data, and then compares the sub-band feature with the audio feature library stored in the storage module in advance. If the comparison result is displayed as FALSE, it indicates that there is an abnormal sound in the operation of a certain device in the substation, meanwhile the comparison result is sent to the base station backstage software system by the ARM9.
(Vector Quantization) algorithm to obtain a normal sound feature library, and stores the feature library in the storage module; the training work is required to be performed only once, and so that all the audio identification works can be performed by using the feature library.
The identifying program is that, the DSP microprocessor firstly extracts a sub-band feature of the currently collected audio data, and then compares the sub-band feature with the audio feature library stored in the storage module in advance. If the comparison result is displayed as FALSE, it indicates that there is an abnormal sound in the operation of a certain device in the substation, meanwhile the comparison result is sent to the base station backstage software system by the ARM9.
[0028] The VQ (vector quantization) algorithm is an important model classification method.
In the audio identifying system, the vector quantization can be used to create model for each of the audio data to be identified. That is, in the training phase, performing unsupervised model clustering to the audio feature with an LBG algorithm to form respective codebooks; in the identifying phase, searching for the average minimum quantization distortion distance between the testing sound and each codebook, and the one with a minimum distance is output as the identifying result. Finally, whether the audio data is abnormal can be determined.
In the audio identifying system, the vector quantization can be used to create model for each of the audio data to be identified. That is, in the training phase, performing unsupervised model clustering to the audio feature with an LBG algorithm to form respective codebooks; in the identifying phase, searching for the average minimum quantization distortion distance between the testing sound and each codebook, and the one with a minimum distance is output as the identifying result. Finally, whether the audio data is abnormal can be determined.
[0029] The storage module is a FLASH storage device connected with the ARM9 microprocessor. The storage module is adapted to store the audio feature library formed by the training, the audio identifying result, an operation system kernel and a file system, etc..
[0030] The computer subsystem is provided in the main control room of the substation, and can communicate with the audio detection subsystem provided on the patrol inspection platform via the first communication module and the second communication module, the first communication module and the second communication module meet the 802.11n protocol;
the computer subsystem receives the abnormal result of audio detection in time and sound an alarm via the alarm module; meanwhile the audio data, such as waveform data and sub-band feature data, can be showed to a staff on duty or a relevant staff, and this task is implemented by the audio data display module.
the computer subsystem receives the abnormal result of audio detection in time and sound an alarm via the alarm module; meanwhile the audio data, such as waveform data and sub-band feature data, can be showed to a staff on duty or a relevant staff, and this task is implemented by the audio data display module.
[0031] The sound abnormality detection method for an electric power device using the above technical solution includes the following steps, referring to Figure 2 to Figure 3:
(1) starting an electric power patrol inspection robot;
(2) moving the electric power patrol inspection robot to an electric power device patrol inspection point according to a designated route, triggering an initiator of the audio collection module, so that the audio collection module collects audio data of the electric power device;
(3) receiving, by the video service module, the audio data collected by the audio collection module, performing digital signal compression and transmission;
(4) receiving, by the audio training and identifying module, the audio data transmitted from the video service module, and performing training or identification to the audio data, which includes:
(1) starting an electric power patrol inspection robot;
(2) moving the electric power patrol inspection robot to an electric power device patrol inspection point according to a designated route, triggering an initiator of the audio collection module, so that the audio collection module collects audio data of the electric power device;
(3) receiving, by the video service module, the audio data collected by the audio collection module, performing digital signal compression and transmission;
(4) receiving, by the audio training and identifying module, the audio data transmitted from the video service module, and performing training or identification to the audio data, which includes:
[0032] determining firstly whether there is audio feature data of the device in the audio feature library, if there is audio feature data of the device in the audio feature library, a training program is not required to be performed, and the process proceeds to an identifying grogram directly, and otherwise if there is no audio feature data of the device in the audio feature library, the process proceeds with the training program; and [0033] if the training is required, entering the training program to train the operating sound of a normal substation device so as to obtain an normal audio feature library, and storing the normal audio feature library in the storage module;
[0034] if the training is not required, entering an identifying program, in which the DSP
microprocessor firstly extracts a sub-band feature of the currently collected audio data, and then compares the sub-band feature with the audio feature library stored in the storage module;
microprocessor firstly extracts a sub-band feature of the currently collected audio data, and then compares the sub-band feature with the audio feature library stored in the storage module;
[0035] (5) transmitting, by the audio training and identifying module, the comparison result to the host computer by the real-time communication between the first communication module and the second communication module, wherein if the comparison result is abnormal, the alarm module sounds an alarm, and the audio data display module displays the waveform data and the sub-band feature of the audio; otherwise, if the comparison result is not abnormal, only the waveform data and the sub-band feature of the audio are output and;
[0036] (6) determining whether the patrol inspection route has been completely inspected, and if the patrol inspection route has been inspected completely, ending;
otherwise, performing step (2).
otherwise, performing step (2).
[0037] In summary, when the robot moves to the vicinity of the substation device, the robot starts the audio collection module, and the operating sound of the substation device is =
recorded by the sound pickup device at the sampling rate of 8k, the recorded sound is transmitted to the video service module, and is encoded and compressed by the video service module, to form an audio signal of the A-law PCM format. The digital signal will enter the audio training and identifying module.
[00381 The audio training and identifying module has two branches, i.e., the training function and the identifying function. Before the robot performs the patrol inspection task for the first time, the robot starts the training function. The training function refers to: receiving the sound transmitted from the video service module, extracting a feature of the sound, generating an audio feature library, and storing the feature library and the transmitted sound in the storage module. The training function is required to be performed only once to generate the audio feature library, thereby making preparations for the identifying function. The identifying function refers to: after receiving the sound transmitted from the video service module, extracting the feature of the sound to be identified, taking out a sound feature library having been trained in advance from the storage module, and comparing the sound feature library with the feature of the sound to be identified, thereby obtaining the comparison result. If the comparison result is FALSE, it indicates that the sound to be identified is abnormal, so the audio training and identifying module wirelessly communicates with the computer subsystem, and then the alarm module sounds an alarm, meanwhile the audio data display module can display some data and features of the sound.
recorded by the sound pickup device at the sampling rate of 8k, the recorded sound is transmitted to the video service module, and is encoded and compressed by the video service module, to form an audio signal of the A-law PCM format. The digital signal will enter the audio training and identifying module.
[00381 The audio training and identifying module has two branches, i.e., the training function and the identifying function. Before the robot performs the patrol inspection task for the first time, the robot starts the training function. The training function refers to: receiving the sound transmitted from the video service module, extracting a feature of the sound, generating an audio feature library, and storing the feature library and the transmitted sound in the storage module. The training function is required to be performed only once to generate the audio feature library, thereby making preparations for the identifying function. The identifying function refers to: after receiving the sound transmitted from the video service module, extracting the feature of the sound to be identified, taking out a sound feature library having been trained in advance from the storage module, and comparing the sound feature library with the feature of the sound to be identified, thereby obtaining the comparison result. If the comparison result is FALSE, it indicates that the sound to be identified is abnormal, so the audio training and identifying module wirelessly communicates with the computer subsystem, and then the alarm module sounds an alarm, meanwhile the audio data display module can display some data and features of the sound.
Claims (6)
1. A sound abnormality detection system for an electric power device, comprising an audio detection subsystem and a computer subsystem wirelessly communicating with the audio detection subsystem, wherein the audio detection subsystem comprises an audio collection module, a video service module, an audio training and identifying module, a storage module, and a first communication module; an output of the audio collection module is connected with an input of the video service module, an output of the video service module is connected with a corresponding input of the audio training and identifying module, a corresponding output of the audio training and identifying module is connected with an input of the first communication module, and the storage module is connected with the audio training and identifying module bidirectionally;
the computer subsystem comprises a host computer installed with a base station backstage software system, an audio data display module, an alarm module and a second communication module; an output of the second communication module is connected with a corresponding input of the host computer; and corresponding outputs of the host computer are respectively connected with an input of the audio data display module and an input of the alarm module.
the computer subsystem comprises a host computer installed with a base station backstage software system, an audio data display module, an alarm module and a second communication module; an output of the second communication module is connected with a corresponding input of the host computer; and corresponding outputs of the host computer are respectively connected with an input of the audio data display module and an input of the alarm module.
2. The sound abnormality detection system for an electric power device according to claim 1, further comprising an patrol inspection platform, wherein the patrol inspection platform comprises a walking mechanism and a control module for controlling the walking mechanism, and the audio detection subsystem is provided on the patrol inspection platform.
3. The sound abnormality detection system for an electric power device according to claim 2, wherein the audio training and identifying module comprises an ARM9 microprocessor and a D SP microprocessor.
4. The sound abnormality detection system for an electric power device according to claim 3, wherein the patrol inspection platform adopts an electric power patrol inspection robot with a model of LER-3000.
5. A detection method applied to the sound abnormality detection system for an electric power device according to claim 4, comprising the following steps:
(1) starting the electric power patrol inspection robot;
(2) moving the electric power patrol inspection robot to an electric power device patrol inspection point according to a designated route, triggering an initiator of the audio collection module, so that the audio collection module collects audio data generated from the electric power device;
(3) receiving, by the video service module, the audio data collected by the audio collection module, performing digital signal compression and transmission;
(4) receiving, by the audio training and identifying module, the audio data transmitted from the video service module, and performing training or identification to the audio data, which comprises:
determining firstly whether to perform training to the audio data, and if a training is required, entering a training program to train an operating sound of a normal substation device so as to obtain an audio feature library, and storing the audio feature library in the storage module; and if the training is not required, entering an identifying program, in which the DSP
microprocessor firstly extracts a sub-band feature of the currently collected audio data, and then compares the sub-band feature with the audio feature library stored in the storage module;
(5) transmitting, by the audio training and identifying module, a comparison result to the host computer by the real-time communication between the first communication module and the second communication module, wherein if the comparison result is abnormal, the alarm module sounds an alarm, and the audio data display module displays the waveform data and the sub-band feature of the audio; otherwise, if the comparison result is not abnormal, only the waveform data and the sub-band feature of the audio are output; and (6) determining whether an patrol inspection route has been inspected completely, and if the patrol inspection route has been inspected completely, ending; otherwise, performing step (2).
(1) starting the electric power patrol inspection robot;
(2) moving the electric power patrol inspection robot to an electric power device patrol inspection point according to a designated route, triggering an initiator of the audio collection module, so that the audio collection module collects audio data generated from the electric power device;
(3) receiving, by the video service module, the audio data collected by the audio collection module, performing digital signal compression and transmission;
(4) receiving, by the audio training and identifying module, the audio data transmitted from the video service module, and performing training or identification to the audio data, which comprises:
determining firstly whether to perform training to the audio data, and if a training is required, entering a training program to train an operating sound of a normal substation device so as to obtain an audio feature library, and storing the audio feature library in the storage module; and if the training is not required, entering an identifying program, in which the DSP
microprocessor firstly extracts a sub-band feature of the currently collected audio data, and then compares the sub-band feature with the audio feature library stored in the storage module;
(5) transmitting, by the audio training and identifying module, a comparison result to the host computer by the real-time communication between the first communication module and the second communication module, wherein if the comparison result is abnormal, the alarm module sounds an alarm, and the audio data display module displays the waveform data and the sub-band feature of the audio; otherwise, if the comparison result is not abnormal, only the waveform data and the sub-band feature of the audio are output; and (6) determining whether an patrol inspection route has been inspected completely, and if the patrol inspection route has been inspected completely, ending; otherwise, performing step (2).
6. The sound abnormality detection method applied to an electric power device according to claim 5, wherein the training program in step (3) trains the operating sound of a normal substation device by a VQ algorithm.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110157505 CN102322943B (en) | 2011-06-13 | 2011-06-13 | Detection system and method for sound abnormality of power equipment |
| CN201110157505.5 | 2011-06-13 | ||
| PCT/CN2011/083175 WO2012171300A1 (en) | 2011-06-13 | 2011-11-29 | Sound abnormality detection system for power device and method thereof |
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| CA2823546A1 true CA2823546A1 (en) | 2012-12-20 |
| CA2823546C CA2823546C (en) | 2016-02-02 |
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| CA2823546A Expired - Fee Related CA2823546C (en) | 2011-06-13 | 2011-11-29 | Sound abnormality detection system for power device and method thereof |
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| CA (1) | CA2823546C (en) |
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-
2011
- 2011-06-13 CN CN 201110157505 patent/CN102322943B/en active Active
- 2011-11-29 WO PCT/CN2011/083175 patent/WO2012171300A1/en active Application Filing
- 2011-11-29 CA CA2823546A patent/CA2823546C/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110085017A (en) * | 2019-06-05 | 2019-08-02 | 桂林理工大学南宁分校 | A kind of real-time security management system of double Network Communication bimodulus positioning |
| CN110085017B (en) * | 2019-06-05 | 2024-04-09 | 桂林理工大学南宁分校 | Real-time security management system for dual-network communication dual-mode positioning |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102322943B (en) | 2013-01-16 |
| CN102322943A (en) | 2012-01-18 |
| WO2012171300A1 (en) | 2012-12-20 |
| CA2823546C (en) | 2016-02-02 |
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