CN110672950A - Power equipment fault sound image detection system and method - Google Patents
Power equipment fault sound image detection system and method Download PDFInfo
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- CN110672950A CN110672950A CN201910953125.9A CN201910953125A CN110672950A CN 110672950 A CN110672950 A CN 110672950A CN 201910953125 A CN201910953125 A CN 201910953125A CN 110672950 A CN110672950 A CN 110672950A
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
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Abstract
The sound sensor array module is used for acquiring sound data of detected electric equipment and sending the sound data to the data processing module, the sound data comprises parameter information of sound of the detected electric equipment acquired by sound sensors at different positions, and the parameter information comprises phase information and amplitude information; the data processing module is used for preprocessing the sound data and judging whether the parameter information of the preprocessed sound data meets preset fault parameters or not, and if so, sending the sound data meeting the preset fault parameters to the server; the server calculates the phase difference of sound reaching the sound sensors at different positions according to the phase information of the sound collected by the sound sensors at different positions, determines the fault sound source position of the detected electric equipment according to the phase difference, and generates a sound field cloud picture according to the fault sound source position of the detected electric equipment and the amplitude information of the sound.
Description
Technical Field
The application relates to the field of power equipment fault detection, in particular to a power equipment fault sound image detection system and method.
Background
The existing electric power equipment fault sound detection generally judges whether the electric power equipment has a fault according to the sound emitted by an electric power worker during operation of the electric power equipment, but because the structure of the electric transmission and transformation equipment is complex, the factors causing the equipment operation fault are numerous, the fault characteristics of the equipment are often different, even if the same fault occurs in different time and places by the same equipment, the fault characteristics are not necessarily identical, and therefore, the problems of misjudgment and difficulty in finding out the specific abnormal sound emission part can be caused during the judgment by manual work.
Disclosure of Invention
An object of the embodiments of the present application is to provide a system and a method for detecting a sound image of a power equipment failure, so as to solve the problem in the prior art that a fault of the power equipment is judged by a human according to sound and a specific abnormal sound emitting part cannot be found.
In a first aspect, an embodiment of the present invention provides an electrical equipment fault sound image detection system, where the system includes a sound sensor array module, a data processing module, and a server, where the data processing module is in communication connection with the server, and the sensor array module is electrically connected with the data processing module; the sound sensor array module is used for acquiring sound data of the detected power equipment and sending the sound data to the data processing module, wherein the sound data comprises parameter information of sound of the detected power equipment acquired by sound sensors at different positions in the sound sensor array, and the parameter information comprises phase information and amplitude information; the data processing module is used for preprocessing the sound data and judging whether the parameter information of the preprocessed sound data meets preset fault parameters or not, and if yes, sending the sound data meeting the preset fault parameters to the server; the server is used for calculating the phase difference of the sound reaching the sound sensors at different positions according to the phase information of the sound collected by the sound sensors at different positions, determining the fault sound source position information of the detected electric equipment according to the phase difference, and generating a sound field cloud picture according to the fault sound source position information and the sound amplitude information of the detected electric equipment.
In the power equipment fault detection system with the design, the sound sensor array module is used for collecting sound data emitted by detected power equipment, the data processing module is used for judging whether the sound data meets fault sound parameters or not, after the fault sound parameters are met, the server is used for positioning the position of the fault sound, and a sound field cloud picture is generated based on the positioning position and the amplitude information of the sound after the sound field cloud picture is positioned.
In an optional implementation manner of the first aspect, the system further includes an image acquisition module and a database server, where the server is connected to the database server, and a plurality of pre-stored images corresponding to each type of the electrical equipment, a plurality of fault types of each type of the electrical equipment, and sound parameter information corresponding to each fault type are pre-stored in the database server; the image acquisition module is used for photographing the detected power equipment in real time to obtain a real-time image and sending the real-time image to the server after the data processing module judges that the parameter information of the preprocessed sound data meets the preset fault parameters; the server is used for searching the type of the detected electric power equipment corresponding to the real-time image in the database server according to the real-time image; and extracting the parameter information of the sound data meeting the preset fault parameters, and searching the fault type of the detected electric power equipment in the database server according to the searched type of the detected electric power equipment and the extracted parameter information of the sound data.
In the embodiment, the fault type of the detected power equipment is determined through the above method, so that the ability of the worker can know the type and the severity of the fault in time, and further, the worker can take corresponding countermeasures to provide an auxiliary function.
In an optional implementation manner of the first aspect, the server is further configured to perform fault location labeling on the real-time image according to the real-time image sent by the image acquisition module and the fault sound source location information, and display the labeled image.
In the embodiment designed above, the image marked on the fault position is displayed, so that the worker can more intuitively know the position of the fault of the detected power equipment, and further can quickly and accurately make an emergency scheme and a maintenance strategy according to the fault position and the determined fault type.
In an optional implementation manner of the first aspect, the database server further stores a plurality of solutions, and a power equipment fault type and a fault location corresponding to each solution; and the server is also used for searching a corresponding solution in the database server according to the fault sound source position information and the fault type.
In the embodiment designed above, the associated solution is searched in the database server according to the obtained fault sound source position and fault type of the detected power equipment, so that the staff can obtain a preliminary emergency strategy to quickly respond to the fault, thereby improving the protection of the power equipment and ensuring the reliability of power supply of the power equipment.
In an optional implementation manner of the first aspect, the data processing module includes a pre-amplification module, an analog-to-digital conversion module, a filtering module, a processor, and a communication module, the pre-amplification module, the analog-to-digital conversion module, the filtering module, the processor, and the communication module are sequentially connected, the pre-amplification module is connected with the acoustic sensor array module, and the pre-amplification module and the analog-to-digital conversion module may also be highly integrated in the acoustic sensor array module; the pre-amplification module is used for amplifying the sound data transmitted by the sound sensor array module and transmitting the amplified sound data to the analog-to-digital conversion module; the analog-to-digital conversion module is used for converting the amplified sound data into corresponding digital signals and transmitting the converted digital signals to the filtering module; the filtering module is used for filtering noise of the digital signal and transmitting the digital signal after noise filtering to the processor; the processor is used for judging whether the sound parameter information corresponding to the digital signal after noise filtering meets preset fault parameters or not, and if yes, sending the digital signal meeting the preset fault parameters to the positioning module through the communication module.
In an optional implementation of the first aspect, the data processing module further comprises a memory module, the memory module being connected to the processor; the storage module is used for receiving the digital signals which are sent by the processor and meet the preset fault parameters, and storing the digital signals which meet the preset fault parameters.
In the two embodiments of the design, the sound data collected by the sound sensor array module is preprocessed through each functional module, so that the subsequent positioning by utilizing the sound data is more accurate.
In an alternative embodiment of the first aspect, the sound sensor array module includes an n × n array of multiple high-precision sound sensors, the arrangement of the sensors may be specifically optimized according to the application requirements of the actual scene, and the sound sensors may be analog or digital sound sensors.
In the embodiment of the design, the high-precision sound sensor can completely capture a fine sound characteristic signal, and the integrity of the signal is ensured.
In a second aspect, an embodiment of the present invention provides a method for detecting a sound image of a power equipment failure, which is applied to a server in any optional implementation manner of the first aspect, and the method includes: receiving fault sound data sent by a data processing module, wherein the fault sound data are sound data meeting preset fault parameters, the sound data comprise parameter information of sound of detected power equipment collected by sound sensors at different positions in a sound sensor array, and the parameter information comprises phase information and amplitude information; calculating the phase difference of the sound reaching the sound sensors at different positions according to the phase information of the sound of the detected power equipment collected by the sound sensors at different positions; determining fault sound source position information of the detected power equipment according to the phase difference of sound sensors of different positions reached by the sound; and generating a sound field cloud picture according to the fault sound source position information and the sound amplitude information of the detected power equipment.
In the designed power equipment fault detection method, the sound sensor array module is used for collecting sound data emitted by detected power equipment, the data processing module is used for judging whether the sound data meets fault sound parameters or not, after the fault sound parameters are met, the server is used for positioning the position of the fault sound, and a sound field cloud picture is generated based on the positioning position and the amplitude information of the sound after the sound field cloud picture is positioned.
In an alternative embodiment of the second aspect, the method further comprises: receiving a real-time image of the detected electric power equipment, and searching the type of the detected electric power equipment corresponding to the real-time image in the database according to the real-time image, wherein a plurality of pre-stored images corresponding to each type of electric power equipment, a plurality of fault types of each type of electric power equipment and sound parameter information corresponding to each fault type are pre-stored in the database; and extracting parameter information in the fault sound data, and searching the fault type of the detected electric power equipment in the database according to the type of the detected electric power equipment and the extracted parameter information of the sound data.
In an optional implementation manner of the second aspect, the database further stores a plurality of solutions and a fault type and a fault location of the electrical device corresponding to each solution, and after determining fault sound source location information of the detected electrical device and the fault type of the detected electrical device, the method further includes: and searching a corresponding solution in the database according to the position information of the fault sound source and the fault type.
In a third aspect: the application also provides a power equipment fault sound image detection device, which is applied to a server in any optional implementation manner of the first aspect, and the device includes a receiving module, configured to receive fault sound data sent by a data processing module, where the fault sound data is sound data meeting preset fault parameters, the sound data includes parameter information of sound of detected power equipment collected by sound sensors at different positions in a sound sensor array, and the parameter information includes phase information and amplitude information; the calculation module is used for calculating the phase difference of the sound reaching the sound sensors at different positions according to the phase information of the sound of the detected power equipment collected by the sound sensors at different positions; and the determining module is used for determining the fault sound source position information of the detected electric equipment according to the phase difference of the sound sensors at different positions, and generating a sound field cloud picture according to the fault sound source position information and the sound amplitude information of the detected electric equipment.
In the power equipment fault detection device with the design, the sound sensor array module is used for collecting sound data emitted by detected power equipment, the data processing module is used for judging whether the sound data meets fault sound parameters or not, after the fault sound parameters are met, the server is used for positioning the position of the fault sound, and a sound field cloud picture is generated based on the positioning position and the amplitude information of the sound after the sound field cloud picture is positioned.
In an optional implementation manner of the third aspect, the receiving module is further configured to receive a real-time image of the detected electric power device, and search, according to the real-time image, a type of the detected electric power device corresponding to the real-time image in the database, where a plurality of pre-stored images corresponding to each type of electric power device, a plurality of fault types of each type of electric power device, and sound parameter information corresponding to each fault type are pre-stored in the database; and the searching module is used for extracting the parameter information in the fault sound data and searching the fault type of the detected electric equipment in the database according to the type of the detected electric equipment and the extracted parameter information of the sound data.
In an optional implementation manner of the third aspect, the database further stores a plurality of solutions and a fault type and a fault location of the electrical device corresponding to each solution, and the searching module is further configured to search the database for a corresponding solution according to the fault sound source location information and the fault type.
In a fourth aspect: the present application further provides an electronic device, including: a processor, a memory connected to the processor, the memory storing a computer program that, when executed by the computing device, is executed by the processor to perform the method of the second aspect, any of the alternative implementations of the second aspect.
In a fifth aspect: the present application provides a non-transitory readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method of the second aspect, any optional implementation of the second aspect.
A sixth aspect: the present application provides a computer program product which, when run on a computer, causes the computer to perform the method of the second aspect, any of the alternative implementations of the second aspect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a first structural diagram of a power equipment failure acoustic image detection system according to a first embodiment of the present application;
fig. 2 is a second structural diagram of an electrical equipment fault image detection system according to a first embodiment of the present application;
fig. 3 is a third structural diagram of the electrical equipment fault image detection system according to the first embodiment of the present application;
fig. 4 is a first flowchart of a method for detecting sound image of power equipment failure according to a second embodiment of the present application;
fig. 5 is a second flowchart of a method for detecting sound image of power equipment failure according to a second embodiment of the present application;
fig. 6 is a third flowchart of a method for detecting a faulty sound image of an electrical device according to a second embodiment of the present application;
fig. 7 is a schematic structural diagram of an electrical equipment fault acoustic image detection apparatus according to a third embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.
Icon: 10-an acoustic sensor array module; 20-a data processing module; 201-preamplification module; 202-analog-to-digital conversion module; 203-a filtering module; 204-a processor; 205-a communication module; 206-a storage module; 30-a server; 40-an image acquisition module; 50-a database server; 300-a receiving module; 302-a calculation module; 304-a determination module; 306-a lookup module; 4-an electronic device; 401-a processor; 402-a memory; 403-communication bus.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
First embodiment
As shown in fig. 1, the present application provides an electrical equipment failure acoustic image detection system, which includes an acoustic sensor array module 10, a data processing module 20 and a server 30, wherein the data processing module 20 is communicatively connected to the server 30, and the acoustic sensor array module 10 is electrically connected to the data processing module 20.
When the electrical equipment fault acoustic image detection system performs fault detection, the acoustic sensor array module 10 may be placed around the electrical equipment to be detected, but outside a safe distance, then the acoustic sensor array module 10 collects acoustic data of the detected electrical equipment, where the acoustic data includes parameter information of sound of the detected electrical equipment collected by acoustic sensors at different positions in the sensor array, where the parameter information may include information of frequency, phase, amplitude, and the like of the sound, and then the acoustic sensor array module 10 transmits the collected acoustic data to the data processing module 20; the data processing module 20 receives the sound data transmitted by the sound sensor array module 10, first pre-processes the received sound data, and then determines whether parameter information corresponding to the pre-processed sound data meets a preset fault parameter, for example, it may be determined whether a frequency corresponding to the pre-processed sound data exceeds a preset frequency, and if the frequency exceeds the preset frequency, it is determined that the sound data is fault sound data, that is, the parameter information corresponding to the pre-processed sound data meets the preset fault parameter. For example, if the frequency of the collected sound data is set to be higher than 300HZ when the preset fault parameter is satisfied, the collected sound data is determined to be useful data when the frequency of the collected sound data is higher than 300HZ, and the sound data below 300HZ may not be fault sound data, and is discarded, and only the sound data higher than 300HZ is transmitted to the server 30.
After the parameter information corresponding to the preprocessed sound data meets the preset fault parameter, the data processing module 20 sends the sound data meeting the fault parameter to the server 30, after the server 30 receives the sound data meeting the fault parameter, the server 30 calculates the phase difference of the sound data reaching the sound sensors at different positions according to the phase information of the sound collected by the sound sensors at different positions, and then the server 30 determines the fault sound source position information of the detected power equipment according to the phase difference. The phase difference of the sound reaching the sound sensors at different positions is calculated according to the phase information of the sound collected by the sound sensors at different positions, specifically, the sound sensor which receives the sound data first can be used as a reference sensor, and the phase difference between the sound sensor and the reference sensor can be calculated according to the time when other sound sensors receive the sound data; the server 30 determines the fault sound source position information of the detected electric equipment according to the phase difference between the sound sensors; after the server 30 determines the failure sound source position information of the detected electric equipment, a sound field cloud map is generated based on the failure sound source position information and the amplitude of the measurement sound. The method of locating information of the fault sound source may be to calculate the position information of the fault sound source of the detected power equipment based on a beam forming algorithm, or to locate the fault sound source by using other existing methods of locating a sound source based on a sensor array. The server 30 may be a mobile processing and analyzing platform having the same functions as the server 30.
In the electrical equipment fault sound image detection system designed above, the sound sensor array module is used for collecting sound data emitted by detected electrical equipment, the data processing module is used for judging whether the sound data meets fault sound parameters or not, after the fault sound parameters are met, the server is used for positioning the position of the fault sound, and a sound field cloud picture is generated based on the positioning position and the amplitude information of the sound after positioning, so that the problems that in the prior art, the fault of the electrical equipment is judged by mistake manually according to the sound and the specific abnormal sound emitting part cannot be found out are solved, and the reliability of electrical equipment fault detection and the accuracy of fault positioning are improved.
In an alternative embodiment of the present embodiment, the acoustic sensor array module 10 may be composed of n × n (n is an integer) arrays of acoustic sensors, for example, the acoustic sensor array module 10 may be composed of 4 × 4 arrays of 16 high-precision acoustic sensors, and the spacing distance between adjacent acoustic sensors may be the same. The high-precision sound sensor can completely capture fine sound characteristic signals and ensure the integrity of the signals.
In an optional implementation manner of this embodiment, as shown in fig. 2, the data processing module 20 includes a pre-amplification module 201, an analog-to-digital conversion module 202, a filtering module 203, a processor 204, and a communication module 205, the pre-amplification module 201, the analog-to-digital conversion module 202, the filtering module 203, the processor 204, and the communication module 205 are connected in sequence, and the pre-amplification module 201 is connected to the data output end of the sound sensor array module 10.
The pre-amplification module 201 may be an amplifier, the analog-to-digital conversion module 202 may be an analog-to-digital converter and its peripheral circuits, the filtering module 203 may be a filter, the processor 204 may be a hardware CPU, and the communication module 205 may be a combination of a 4G network communication chip, an ethernet communication chip, and an interface circuit, and has a main function of performing data interaction with the server 30.
The foregoing has described that after the acoustic sensor array module 10 collects the acoustic data of the power device to be tested, the data processing module 20 performs preprocessing on the acoustic data, and a specific process based on the preprocessing of the data processing module includes: the preamplification module 201 receives the sound data transmitted by the sound sensor array module 10, amplifies the sound data, improves the signal-to-noise ratio, reduces interference, and transmits the amplified sound data to the analog-to-digital conversion module 202; since the sound data collected by the sound sensor array module 10 and the amplified sound data are both analog signals, and the analog signals need to be converted into digital signals to perform subsequent judgment on whether preset fault parameters are met, the analog-to-digital conversion module 202 converts the amplified sound data into digital signals corresponding to the sound data, and transmits the converted digital signals to the filtering module 203; the filtering module 203 filters noise of the digital signal corresponding to the sound data to prevent pollution to the signal source. And the digital signal corresponding to the sound data after the noise filtering is the preprocessed sound data. At this time, the filtering module 203 transmits the digital signal corresponding to the voice data after the noise removal to the processor 204. The processor 204 may also be configured to pre-store a threshold value of the fault parameter, where the threshold value may be modified in real time by an external manual operation, and the processor 204 determines whether the threshold value meets the preset fault parameter, and after the processor 204 determines that the threshold value meets the preset fault parameter, sends the sound data meeting the preset fault parameter to the server 30 through the communication module 205.
In addition, on the basis of the above structure, the data processing module 20 may further include a storage module 206, the storage module 206 is connected to the processor 204, the storage module 206 is composed of a high-speed memory and an external control circuit, and the storage module 206 is configured to store the sound data that meets the preset fault parameter and is transmitted by the processor, so as to record the sound source data.
In an optional implementation manner of this embodiment, as shown in fig. 3, the system further includes an image obtaining module 40 and a database server 50, the server 30 is connected to the database server 50, and a plurality of pre-stored images corresponding to each type of the electrical equipment, a plurality of fault types of each type of the electrical equipment, and sound parameter information corresponding to each fault type are pre-stored in the database server 50.
The multiple pre-stored images corresponding to each type of the electric power equipment are pre-collected images shot in different directions and different angles of each type of the electric power equipment, and then a mapping relation is established between the type of the electric power equipment and the corresponding images; in addition, the staff can obtain the sound parameters or sound characteristics corresponding to each fault type according to the past analysis experience, and further establish a mapping relationship between the sound parameters and the corresponding fault types, and store the mapping relationship in the database server 50, for example, the collision frequency (the time interval of each sound signal amplitude occurrence) and the sound signal amplitude of the Gas Insulated Switch (GIS) device, which can generate particles when metal particles collide, are very small; when spark discharge occurs in the transformer, the sound is discontinuous, the frequency spectrum distribution is mainly within 1000HZ, and an envelope-line-shaped continuous spectrum is presented.
The image acquisition module 40 may be a camera, the camera may be disposed at the same position as the sound sensor array module 10, and after the data processing module 20 determines that the parameter information of the preprocessed sound data meets the preset fault parameter, the image acquisition module 40 performs real-time image shooting on the detected power equipment, and sends a shot real-time image to the server 30; after receiving the real-time image sent by the image acquisition module 40, the server 30 searches for a pre-stored image with the highest similarity in the database server 50 based on the real-time image, and determines the type of the electrical equipment mapped by the pre-stored image as the type of the electrical equipment to be detected after finding the pre-stored image with the highest similarity; the server 30 may further extract parameter information of the sound data that satisfies the preset fault parameter and is sent by the data processing module 20, and then search the mapped fault type in the database server 50 according to the determined type of the detected power device and the extracted parameter information of the sound data that satisfies the fault parameter, so as to determine the fault type of the detected power device at this time. For example, it is determined that the type of the detected power equipment is a Gas Insulated Switchgear (GIS) equipment through a real-time image, and the frequency of the extracted sound data meeting the preset fault parameter is the collision frequency of the particles, and the amplitude of the sound is very small, so that the corresponding fault type can be found in the database server 50 as the metal particle collision occurring inside the Gas Insulated Switchgear; for another example, the type of the detected power equipment is determined to be a transformer through a real-time image, and after the parameter information of the sound data meeting the preset fault parameter is extracted, the obtained sound frequency is 900HZ, and a spectrogram obtained according to the parameter information is a continuous spectrum with an envelope line shape, so that spark discharge inside the transformer is determined.
In addition to the foregoing generation of the sound field cloud map based on the fault location information and the amplitude of the sound, in an alternative embodiment based on the foregoing embodiment, after receiving the real-time image sent by the image acquisition module 40 and determining the fault sound source location information, the server 30 may label the location information in the real-time image according to the determined fault sound source location information, and further display the labeled image. Specifically, the position corresponding to the position information may be marked in the real-time image based on the position information of the failed sound source, and then displayed.
In the embodiment designed above, the image marked on the fault position is displayed, so that the worker can more intuitively know the position of the fault of the detected power equipment, and further can quickly and accurately make an emergency scheme and a maintenance strategy according to the fault position and the determined fault type.
In an optional implementation manner of this embodiment, the database server 50 further prestores a plurality of solutions and the fault types and fault locations of the electrical devices corresponding to each solution, that is, different solutions may exist for the fault types and fault locations corresponding to each electrical device, before fault detection, each electrical device fault type and fault location may be associated with its corresponding conventional solution, and then the associated data is stored in the database server 50.
On the basis of the foregoing, after obtaining the fault sound source location information and the fault type of the detected power equipment on the basis of the foregoing embodiment, the server 30 may search for its associated solution in the database server 50. For example, taking a transformer as an example, the fault sound source position of the detected transformer is obtained inside the transformer, and meanwhile, the fault type of the detected transformer is determined as the partial discharge of the transformer, at this time, the server 30 may find a corresponding scheme, which may be "deactivate the transformer, perform further detection and maintenance".
In the embodiment designed above, the associated solution is searched in the database server according to the obtained fault sound source position and fault type of the detected power equipment, so that the staff can obtain a preliminary emergency strategy to quickly respond to the fault, thereby improving the protection of the power equipment and ensuring the reliability of power supply of the power equipment.
Second embodiment
The application provides a power equipment failure acoustic image detection method, which is applied to a server in a first embodiment, and as shown in fig. 4, the method specifically includes the following steps:
step S200: and receiving fault sound data sent by the data processing module, wherein the fault sound data is sound data meeting preset fault parameters, the sound data comprises parameter information of sound of detected power equipment collected by sound sensors at different positions in a sound sensor array, and the parameter information comprises phase information and amplitude information.
Step S202: and calculating the phase difference of the sound reaching the sound sensors at different positions according to the phase information of the sound of the detected power equipment collected by the sound sensors at different positions.
Step S204: and determining the position information of the fault sound source of the detected electric equipment according to the phase difference of the sound reaching the sound sensors at different positions, and generating a sound field cloud chart according to the position information of the fault sound source and the sound amplitude information of the detected electric equipment.
The foregoing steps S200 to S204 have already described the general procedure in the first embodiment through the description of the server, and specifically include: after receiving the fault sound data sent by the processing module, the server calculates the phase difference of the sound reaching the sound sensors at different positions according to the phase information of the sound of the detected power equipment collected by the sound sensors at different positions, wherein the phase difference of the sound reaching the sound sensors at different positions is calculated according to the phase information of the sound collected by the sound sensors at different positions, specifically, the sound sensor which receives the sound data first can be used as a reference sensor, and further, the phase difference between the sound sensor which receives the sound data and the reference sensor can be calculated according to the time when other sound sensors receive the sound data.
On the basis, step S204 is further executed, a fault sound source position of the detected electric equipment is determined according to the imaging positioning algorithm according to the phase difference of the sound reaching the sound sensors at different positions, and after the fault sound source position information of the detected electric equipment is determined, a sound field cloud picture is generated based on the fault sound source position information of the detected electric equipment and the amplitude information of the sound.
In the designed power equipment fault sound image detection method, the sound sensor array module is used for collecting sound data sent by detected power equipment, the data processing module is used for judging whether the sound data meets fault sound parameters or not, and after the fault sound parameters are met, the server is used for positioning the position of the fault sound, so that the problems that in the prior art, the fault of the power equipment is judged by mistake manually according to sound and specific abnormal sound sending parts cannot be found are solved, and the reliability of power equipment fault detection and the accuracy of fault positioning are improved.
In an alternative implementation of this embodiment, as shown in fig. 5, the method further includes:
step S206: the method comprises the steps of receiving a real-time image of a detected electric device, searching the type of the detected electric device corresponding to the real-time image in a database according to the real-time image, and pre-storing a plurality of pre-stored images corresponding to each type of electric device, a plurality of fault types of each type of electric device and sound parameter information corresponding to each fault type in the database.
Step S208: and extracting parameter information in the fault sound data, and searching the fault type of the detected electric equipment in a database according to the type of the detected electric equipment and the extracted parameter information of the sound data.
The above steps S206 to S208 are also already described in the first embodiment through the description of the server, and are not repeated here.
In an optional implementation manner of this embodiment, the database further stores a plurality of solutions and a fault type and a fault location of the electrical equipment corresponding to each solution, and after determining fault sound source location information of the detected electrical equipment in step S204 and a fault type of the detected electrical equipment in step S208, as shown in fig. 6, the method further includes:
step S210: and searching a corresponding solution in a database according to the position information of the fault sound source and the fault type.
The above step S210 has already been described in the foregoing first embodiment through the description of the server, and is not repeated here.
Third embodiment
Fig. 7 shows a schematic block diagram of the power equipment failure sound image detection apparatus provided by the present application, and it should be understood that the apparatus corresponds to the method embodiments in fig. 4 to 6, and can execute the steps involved in the method in the second embodiment, and the specific functions of the apparatus can be referred to the description above, and the detailed description is appropriately omitted here to avoid repetition. The device includes at least one software function that can be stored in memory in the form of software or firmware (firmware) or solidified in the Operating System (OS) of the device. Specifically, the apparatus includes: the receiving module 300 is configured to receive fault sound data sent by the data processing module, where the fault sound data is sound data meeting preset fault parameters, the sound data includes parameter information of sound of the detected power equipment collected by sound sensors at different positions in the sound sensor array, and the parameter information includes phase information and amplitude information; the calculating module 302 is configured to calculate a phase difference of the sound reaching the sound sensors at different positions according to phase information of the sound of the detected power equipment collected by the sound sensors at different positions; and the determining module 304 is used for determining the position information of the fault sound source of the detected electric equipment according to the phase difference of the sound reaching the sound sensors at different positions, and generating a sound field cloud picture according to the position information of the fault sound source of the detected electric equipment and the sound amplitude information.
In an optional implementation manner of this embodiment, the receiving module 300 is further configured to receive a real-time image of the detected electrical device, and search, according to the real-time image, a type of the detected electrical device corresponding to the real-time image in a database, where a plurality of pre-stored images corresponding to each type of electrical device, a plurality of fault types of each type of electrical device, and sound parameter information corresponding to each fault type are pre-stored in the database; the searching module 306 is configured to extract parameter information in the fault sound data, and search the fault type of the detected electric power device in the database according to the type of the detected electric power device and the extracted parameter information of the sound data.
In an optional implementation manner of this embodiment, the database further stores a plurality of solutions and the fault type and fault location of the electrical device corresponding to each solution, and the searching module 306 is further configured to search the database for a corresponding solution according to the fault sound source location information and the fault type.
Fourth embodiment
As shown in fig. 8, the present application provides an electronic device 4 including: the processor 401 and the memory 402, the processor 401 and the memory 402 being interconnected and communicating with each other via a communication bus 403 and/or other form of connection mechanism (not shown), the memory 402 storing a computer program executable by the processor 401, the computer program being executable by the processor 401 when the computing device is running to perform the method of any of the alternative implementations of the second embodiment, the second embodiment.
The present application provides a non-transitory storage medium having stored thereon a computer program which, when executed by a processor, performs the method of the second embodiment, any one of the alternative implementations of the second embodiment.
The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk.
The present application provides a computer program product which, when run on a computer, causes the computer to perform the method of the second embodiment, any of its alternative implementations.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. The sound-image detection system for the power equipment fault is characterized by comprising a sound sensor array module, a data processing module and a server, wherein the data processing module is in communication connection with the server, and the sensor array module is electrically connected with the data processing module;
the sound sensor array module is used for acquiring sound data of the detected power equipment and sending the sound data to the data processing module, wherein the sound data comprises parameter information of sound of the detected power equipment acquired by sound sensors at different positions in the sound sensor array, and the parameter information comprises phase information and amplitude information;
the data processing module is used for preprocessing the sound data and judging whether the parameter information of the preprocessed sound data meets preset fault parameters or not, and if yes, sending the sound data meeting the preset fault parameters to the server;
the server is used for calculating the phase difference of the sound reaching the sound sensors at different positions according to the phase information of the sound collected by the sound sensors at different positions, determining the fault sound source position information of the detected electric equipment according to the phase difference, and generating a sound field cloud picture according to the fault sound source position information and the sound amplitude information of the detected electric equipment.
2. The system according to claim 1, further comprising an image acquisition module and a database server, wherein the server is connected to the database server, the server is connected to the image acquisition module in a communication manner, and a plurality of pre-stored images corresponding to each type of the electric devices, a plurality of fault types of each type of the electric devices, and sound parameter information corresponding to each fault type are pre-stored in the database server;
the image acquisition module is used for photographing the detected power equipment in real time to obtain a real-time image and sending the real-time image to the server after the data processing module judges that the parameter information of the preprocessed sound data meets the preset fault parameters;
the server is used for searching the type of the detected electric power equipment corresponding to the real-time image in the database server according to the real-time image; and extracting the parameter information of the sound data meeting the preset fault parameters, and searching the fault type of the detected electric power equipment in the database server according to the searched type of the detected electric power equipment and the extracted parameter information of the sound data.
3. The system according to claim 2, wherein the server is further configured to label a fault location of the real-time image according to the real-time image sent by the image obtaining module and the location information of the fault sound source, and display the labeled image.
4. The system according to claim 2, wherein a plurality of solutions and the type and location of the fault of the power equipment corresponding to each solution are prestored in the database server;
and the server is also used for searching a corresponding solution in the database server according to the fault sound source position information and the fault type.
5. The system of claim 1, wherein the data processing module comprises a pre-amplification module, an analog-to-digital conversion module, a filtering module, a processor and a communication module, the pre-amplification module, the analog-to-digital conversion module, the filtering module, the processor and the communication module are connected in sequence, and the pre-amplification module is connected with the sound sensor array module; the pre-amplification module and the analog-to-digital conversion module are highly integrated in the sound sensor array module;
the pre-amplification module is used for amplifying the sound data transmitted by the sound sensor array module and transmitting the amplified sound data to the analog-to-digital conversion module;
the analog-to-digital conversion module is used for converting the amplified sound data into digital signals corresponding to the sound data and transmitting the converted digital signals to the filtering module;
the filtering module is used for filtering noise of the digital signal and transmitting the digital signal after noise filtering to the processor;
the processor is used for judging whether the sound parameter information corresponding to the digital signal after noise filtering meets preset fault parameters or not, and if yes, the digital signal meeting the preset fault parameters is sent to the server through the communication module.
6. The system of claim 5, wherein the data processing module further comprises a memory module, the memory module being coupled to the processor;
the storage module is used for receiving the digital signals which are sent by the processor and meet the preset fault parameters, and storing the digital signals which meet the preset fault parameters.
7. The system according to claim 1, wherein the sound sensor array module comprises n x n sound sensors with high precision, the arrangement of the sensors can be optimally designed according to the application requirements of the actual scene, and the sound sensors can adopt analog or digital sound sensors.
8. An electrical equipment fault acoustic image detection method applied to the server of any one of claims 1 to 7, the method comprising:
receiving fault sound data sent by a data processing module, wherein the fault sound data are sound data meeting preset fault parameters, the sound data comprise parameter information of sound of detected power equipment collected by sound sensors at different positions in a sound sensor array, and the parameter information comprises phase information and amplitude information;
calculating the phase difference of the sound reaching the sound sensors at different positions according to the phase information of the sound of the detected power equipment collected by the sound sensors at different positions;
determining fault sound source position information of the detected power equipment according to the phase difference of sound sensors of different positions reached by the sound;
and generating a sound field cloud picture according to the fault sound source position information and the sound amplitude information of the detected power equipment.
9. The method of claim 8, further comprising:
receiving a real-time image of the detected electric power equipment, and searching the type of the detected electric power equipment corresponding to the real-time image in a database according to the real-time image, wherein a plurality of pre-stored images corresponding to each type of electric power equipment, a plurality of fault types of each type of electric power equipment and sound parameter information corresponding to each fault type are pre-stored in the database;
and extracting parameter information in the fault sound data, and searching the fault type of the detected electric power equipment in the database according to the type of the detected electric power equipment and the extracted parameter information of the sound data.
10. The method according to claim 9, wherein the database further stores a plurality of solutions and a fault type and a fault location of the electrical equipment corresponding to each solution, and after determining fault sound source location information of the detected electrical equipment and the fault type of the detected electrical equipment, the method further comprises:
and searching a corresponding solution in the database according to the position information of the fault sound source and the fault type.
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