Partial discharge positioning method, system and equipment based on acoustic-electric combined signal

Abstract

The invention discloses a partial discharge positioning method, system and device based on an acoustic-electric combined signal, and relates to the technical field of electrical device detection, and the method comprises the steps: deploying a plurality of sensor nodes based on a target electrical device, and collecting an electromagnetic signal and a sound wave signal generated by partial discharge at the same time; calculating a preliminary positioning result of the partial discharge source based on the collected acoustic-electric combined signal; environment parameter data, historical operation data and electrical equipment structure information in the electrical equipment are collected and input into a preset error correction model, and a corresponding error correction interval is obtained; when a certain preliminary positioning result exceeds the corresponding error correction interval, obtaining a timestamp corresponding to the preliminary positioning result; performing multi-source information fusion positioning based on the environmental parameter data, the historical operation data, the electrical equipment structure information and the corresponding timestamps, and analyzing and determining final positioning coordinates of the partial discharge source; the accuracy of partial discharge signal positioning is improved, and the positioning efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of electrical equipment detection, and in particular to a method, system and device for locating partial discharge based on acoustic and electrical combined signals. Background Art

[0002] With the development of urban power grid construction, the number of GIS (gas insulated switchgear) is also increasing. With the increase in the number of GIS equipment, the probability of GIS equipment failure is also increasing. Studies have shown that insulation failure is one of the most common internal faults in GIS equipment. Partial discharge in GIS equipment is usually a precursor and manifestation of insulation failure. Practice has proved that partial discharge detection can effectively prevent GIS accidents. However, the fully enclosed structure of GIS equipment makes fault location and maintenance difficult and costly. Conductive materials such as spikes, particles or bubbles generated during transportation and installation can cause partial discharge. Existing partial discharge detection methods mainly rely on ultra-high frequency sensors to receive electrical signals and ultrasonic sensors to receive acoustic signals.

[0003] However, the existing technology has certain limitations. The single signal detection method is not accurate enough in complex environments. The multipath effect and noise interference in actual detection will also affect the positioning accuracy. For example, the time difference algorithm causes deviations due to differences in signal propagation speeds or measurement errors. Therefore, the positioning accuracy of local discharge signals is low and the efficiency is poor, which urgently needs to be improved. Summary of the invention

[0004] In order to improve the accuracy of local discharge signal positioning and improve the positioning efficiency, the present application provides a method, system and device for local discharge positioning based on acoustic and electrical combined signals.

[0005] In the first aspect, the invention objective of the present application is achieved by adopting the following technical solutions: The method for locating partial discharge based on acoustic and electrical combined signals includes: Deploy multiple sensor nodes based on the target electrical equipment to simultaneously collect electromagnetic signals and acoustic signals generated by partial discharge; Based on the acoustic and electrical joint signals collected by the plurality of sensor nodes, a preliminary positioning result of the local discharge source is calculated by using a time difference algorithm and an intensity difference algorithm; Collect environmental parameter data, historical operation data and electrical equipment structure information inside the electrical equipment; Inputting the preliminary positioning result, electrical equipment structure information of the target electrical equipment, and environmental parameter data into a preset error correction model, and obtaining an error correction interval corresponding to the preliminary positioning result; When a preliminary positioning result exceeds the corresponding error correction interval, a timestamp corresponding to the preliminary positioning result is obtained; multi-source information fusion positioning is performed based on the environmental parameter data, historical operation data, electrical equipment structure information and the corresponding timestamp, and the final positioning coordinates of the local discharge source are analyzed and determined.

[0006] By adopting the above technical scheme, the target electrical equipment refers to the detected equipment that needs to be located and detected for partial discharge signals. The present invention realizes high-precision positioning of partial discharge signals (referring to partial discharge sources, also known as local discharge sources) through reasonable deployment of sensor nodes, efficient processing of acoustic and electrical combined signals, charging and utilization of environmental parameters and historical data, application of error correction models and fusion analysis of multi-source information. The intelligent and automated analysis method of acoustic and electrical combined signals is also conducive to improving the positioning efficiency of partial discharge signals of GIS equipment (or other electrical equipment); specifically, the deployment of multiple sensor nodes realizes comprehensive monitoring and accurate capture of potential partial discharge signals, and the reliability of preliminary positioning is improved by the combined use of electromagnetic wave signals and acoustic wave signals. Considering the influencing factors based on environmental parameters and historical operating data, the partial discharge positioning system can adapt to different working conditions, and by introducing an error correction model, the external error influence of external interference and measurement errors is effectively reduced. The positioning analysis method of automatic error correction and multi-distance fusion for final positioning analysis ensures that the final positioning coordinate result has high accuracy and reliability, providing operation and maintenance guarantee for the safe and stable operation of GIS equipment.

[0007] In a preferred example of the present application, the multiple sensor nodes are deployed based on the target electrical equipment to simultaneously collect electromagnetic signals and acoustic wave signals generated by partial discharge, including: Arranging a plurality of ultra-high frequency sensors and ultrasonic sensors for detecting partial discharge signals at intervals inside the target electrical equipment or in a designated area; When partial discharge occurs, the UHF sensor receives the UHF electromagnetic wave signal generated by the partial discharge, and the ultrasonic sensor synchronously receives the ultrasonic signal generated by the partial discharge; Based on the corresponding position information and received signal strength recorded by the sensor node, and based on the position information and signal strength recorded by all sensor nodes, an initial signal distribution map is generated.

[0008] By adopting the above technical scheme, based on the precise sensor layout method and synchronous signal reception, the reliability of the preliminary positioning result is enhanced, and by arranging multiple ultra-high frequency (UHF) sensors and ultrasonic (AE) sensors at intervals inside the target electrical equipment or in a designated area, the electromagnetic signal and sound wave signal generated by the local discharge are fully covered, the accuracy of signal acquisition is improved, and the discharge signals at different positions can be captured; when the local discharge occurs, the ultra-high frequency sensor receives the ultra-high frequency electromagnetic wave signal, and the ultrasonic sensor receives the ultrasonic signal synchronously, and the synchronous reception mechanism ensures the time consistency of the two different types of signals, reducing the error caused by the time difference; based on the position information recorded by all sensor nodes and the received signal strength, an initial signal distribution map is generated, which is not only the basis for subsequent positioning calculations, but also intuitively displays the spatial distribution of signal strength in a visual way, which is helpful to identify potential interference sources and optimize the sensor layout scheme.

[0009] In a preferred example of the present application, the preliminary positioning result, the electrical equipment structure information of the target electrical equipment, and the environmental parameter data are input into a preset error correction model, and the error correction interval corresponding to the preliminary positioning result is obtained, including: In a preset error correction model, based on the electrical equipment structure information of the target electrical equipment, a preset error evaluation algorithm is used to respectively perform error estimation on the preliminary positioning result and the corresponding environmental parameter data to obtain a preliminary positioning error value and an environmental parameter error value; Calculate and obtain the error correction interval corresponding to the preliminary positioning result according to the preliminary positioning error value, the environmental parameter error value and a preset error correction function; A device identification is generated based on the electrical device structure information of the target electrical device, and the device identification is associated with a corresponding error correction interval to identify error correction requirements under different environmental conditions.

[0010] By adopting the above technical scheme, the present invention firstly uses a preset error evaluation algorithm in a preset error correction model to respectively estimate the errors of the preliminary positioning result and the corresponding environmental parameter data based on the structural information of the target electrical equipment, and takes into account the influence of the electrical equipment structure on signal propagation, so that the error estimation is closer to the actual situation and the error estimation is more accurate; then, according to the preliminary positioning error value, the environmental parameter error value and the preset error correction function, the error correction interval corresponding to the preliminary positioning result is calculated and obtained, and by introducing a dynamic adjustment mechanism, the present invention performs adaptive correction according to the error characteristics under different environmental conditions, ensures the rationality of the error correction interval, and further improves the accuracy of the final positioning; then the device identification is associated with the corresponding error correction interval, which not only facilitates the distinction and management between different devices, but also can automatically select the most appropriate error correction strategy in different environments, thereby enhancing the flexibility and adaptability of the system.

[0011] In a preferred example of the present application, based on the electrical equipment structure information of the target electrical equipment, a preset error evaluation algorithm is used to respectively perform error estimation on the preliminary positioning result and the corresponding environmental parameter data to obtain a preliminary positioning error value and an environmental parameter error value, specifically including: Based on the electrical equipment structure information of the target electrical equipment, a three-dimensional coordinate system is constructed, and the position information of all sensor nodes is converted into coordinate points in the three-dimensional coordinate system. , where i is the sensor number; According to formula (1), the Euclidean distance between each preliminary positioning result and the actual known PD source location is calculated as the preliminary positioning deviation value. : in, is the location coordinate of the known partial discharge source, and n is the number of samples of the preliminary positioning result; Calculate the environmental parameter deviation value according to formula (2) : in, To consider the actual received power of environmental factors, It is the receiving power under the preset standard environment.

[0012] By adopting the above technical solution, the constructed three-dimensional coordinate system ensures the spatial accuracy of the positioning calculation, which not only simplifies the complexity of subsequent calculations, but also improves the spatial resolution of the positioning results, making the calculation of the preliminary positioning deviation value more accurate; the Euclidean distance between each preliminary positioning result and the actual known partial discharge source position is calculated according to formula (1) as the preliminary positioning deviation value. The method of directly measuring the physical distance is intuitive and reliable, and can effectively quantify the error of the preliminary positioning result; the environmental parameter deviation value is calculated according to formula (2), taking into account the influence of environmental factors such as temperature and humidity on the received power. By introducing the environmental correction mechanism, the error estimation is closer to the actual situation.

[0013] In a preferred example of the present application: the preliminary positioning result, the electrical equipment structure information of the target electrical equipment, and the environmental parameter data are input into a preset error correction model, and the error correction interval corresponding to the preliminary positioning result is obtained, and the method further includes: Use formula (3) to calculate the environmental correction factor for each preliminary positioning result : in, , are the temperature influence coefficient and the humidity influence coefficient respectively, and are the temperature and humidity under standard environmental conditions, respectively; Combining the path loss factor and the environmental correction coefficient, the error estimate of each preliminary positioning result is calculated according to formula (4): : is the distance between the preliminary positioning result and the known reference point, A is the received power of the sensor at the specified distance from the reference point, is the actual received signal strength, is the path loss factor of the target electrical device.

[0014] By adopting the above technical solution, the environmental correction coefficient of each preliminary positioning result is calculated using formula (3), which comprehensively considers the influence of temperature and humidity on signal propagation. By introducing the temperature influence coefficient and humidity influence coefficient as well as the temperature and humidity under standard environmental conditions, the error correction is made more accurate and the uncertainty caused by environmental changes is reduced. Combined with the path loss factor and the environmental correction coefficient, the error estimation of each preliminary positioning result is calculated according to formula (4), which not only considers the path loss in the signal propagation process, but also combines the influence of environmental factors, making the error estimation more comprehensive and accurate.

[0015] In a preferred example of the present application, the preliminary positioning result of the local discharge source is obtained by calculating the acoustic-electrical joint signal collected by the multiple sensor nodes through the time difference algorithm and the intensity difference algorithm, including: For the acoustic-electrical joint signals collected by the plurality of UHF sensors and the ultrasonic sensors, the time delay between each sensor node and the partial discharge power source is calculated based on a time difference algorithm; According to the time delay, the known sound speed and the electromagnetic wave propagation speed, the first distance and the second distance of the acoustic wave signal and the electromagnetic wave signal from the partial discharge power source to each sensor node are calculated respectively; Combined with the strength difference algorithm, the signal strengths received by different sensor nodes are compared to correct the error caused by path loss; the path loss factor is introduced and the signal strength received by each sensor node from the partial discharge power source is calculated to obtain the receiving strength data: A preliminary positioning result of the local discharge source is determined by using a multilateral ranging method and combining the first distance, the second distance and the receiving intensity data.

[0016] By adopting the above technical solution, based on the acoustic and electrical joint signals collected by multiple ultra-high frequency (UHF) sensors and ultrasonic (AE) sensors, the time difference (TDOA) algorithm is used to calculate the time delay between each sensor node and the partial discharge source. By utilizing the difference in propagation speed of two different types of signals, the slight time difference can be accurately captured, thereby improving the accuracy of the initial positioning; according to the time delay, the known sound speed and the electromagnetic wave propagation speed, the first distance and the second distance of the acoustic wave signal and the electromagnetic wave signal from the partial discharge source to each sensor node are calculated respectively, which not only takes into account the propagation characteristics of different signal types, but also provides more comprehensive distance information for subsequent error correction, thereby enhancing the robustness of the partial discharge positioning system.

[0017] In the second aspect, the invention objective of the present application is achieved by adopting the following technical solutions: A system for localizing partial discharge based on acoustic-electric combined signals, for executing the method for localizing partial discharge based on acoustic-electric combined signals as described above, the system comprising: A data acquisition module is used to deploy multiple sensor nodes inside or near the target electrical equipment and simultaneously collect electromagnetic signals and acoustic wave signals generated by partial discharge; A preliminary positioning module, based on the acoustic and electrical joint signals collected by the plurality of sensor nodes, calculates the preliminary positioning result of the local discharge source through a time difference algorithm and an intensity difference algorithm; Environmental parameter collection module, used to collect environmental parameter data, historical operation data and electrical equipment structure information inside the electrical equipment; An error correction module, used to input the preliminary positioning result, electrical equipment structure information of the target electrical equipment, and environmental parameter data into a preset error correction model, and obtain an error correction interval corresponding to the preliminary positioning result; The multi-source information fusion positioning module is used to obtain a timestamp corresponding to a preliminary positioning result when the preliminary positioning result exceeds the corresponding error correction interval; perform multi-source information fusion positioning based on the environmental parameter data, historical operation data, electrical equipment structure information and the corresponding timestamp, and analyze and determine the final positioning coordinates of the local discharge source.

[0018] In a preferred example of the present application: the data acquisition module specifically includes: A sensor arrangement unit, used for arranging a plurality of ultra-high frequency sensors and ultrasonic sensors for detecting partial discharge signals at intervals inside the target electrical equipment or in a designated area; When partial discharge occurs, the UHF sensor receives the UHF electromagnetic wave signal generated by the partial discharge, and the ultrasonic sensor synchronously receives the ultrasonic signal generated by the partial discharge; The signal processing unit is used to generate an initial signal distribution diagram based on the corresponding position information and received signal strength recorded by the sensor node and based on the position information and signal strength recorded by all sensor nodes.

[0019] In the third aspect, the invention objective of the present application is achieved by adopting the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for locating partial discharge based on combined acoustic and electrical signals are implemented.

[0020] In a fourth aspect, the invention objective of the present application is achieved by adopting the following technical solutions: A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for localizing partial discharge based on combined acoustic and electrical signals.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. The present invention realizes high-precision positioning of partial discharge signals (referring to partial discharge sources) through the application of error correction models and fusion analysis of multi-source information. The intelligent and automated analysis method of acoustic and electrical joint signals is also conducive to improving the positioning efficiency of partial discharge signals of GIS equipment (or other electrical equipment); specifically, the deployment of multiple sensor nodes realizes comprehensive monitoring and accurate capture of potential partial discharge sources, improves the reliability of preliminary positioning, and enables the partial discharge positioning system to adapt to different working conditions based on the influencing factors of environmental parameters and historical operation data. In addition, by introducing an error correction model, the external error influence of external interference and measurement errors is effectively reduced. The positioning analysis method of automatic error correction and multi-distance fusion for final positioning analysis ensures that the final positioning coordinate results have high accuracy and reliability, providing operation and maintenance guarantee for the safe and stable operation of GIS equipment; 2. The data acquisition module is used to deploy multiple sensor nodes inside or near the target electrical equipment, and simultaneously collect electromagnetic signals and acoustic signals generated by partial discharge, ensuring the synchronization of signal acquisition; the preliminary positioning module calculates the preliminary positioning results of the local discharge source through the time difference algorithm and the intensity difference algorithm, combining the advantages of time difference and intensity difference to ensure the high accuracy of preliminary positioning; the environmental parameter acquisition module is used to collect environmental parameter data, historical operation data and electrical equipment structure information inside the electrical equipment, which not only provides an important basis for error correction, but also lays the foundation for multi-source information fusion positioning; the dynamic error correction module realizes dynamic error correction to ensure the rationality of the error correction interval; the multi-source information fusion positioning module uses intelligent data processing and calculation methods to perform multi-source information fusion positioning based on environmental parameter data, historical operation data, electrical equipment structure information and corresponding timestamps, analyzes and determines the final positioning coordinates of the local discharge source, and ensures the high accuracy and reliability of the final positioning coordinates by fusing multiple data sources. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a flow chart of a method for localizing local discharge based on acoustic-electric combined signals in one embodiment of the present application; Figure 2 This is a flow chart of step S1 in a method for localizing local discharge based on acoustic-electric combined signals in one embodiment of the present application; Figure 3 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The present application is further described in detail below in conjunction with the accompanying drawings.

[0024] In one embodiment, if Figure 1As shown, the present application discloses a method for locating local discharge based on acoustic-electric combined signals, which specifically includes the following steps: S1: Deploy multiple sensor nodes based on the target electrical equipment to simultaneously collect electromagnetic signals and acoustic signals generated by partial discharge.

[0025] In this embodiment, each sensor node can synchronously collect ultra-high frequency (UHF) electromagnetic signals and ultrasonic (AE) signals generated during partial discharge, each sensor node records its position information and received signal strength, and transmits this information to the central processing unit via wireless transmission.

[0026] Specifically, multiple UHF sensors and ultrasonic sensors are spaced apart at key locations or designated areas of electrical equipment. When local discharge occurs, the UHF sensor receives the UHF electromagnetic wave signal, and the ultrasonic sensor receives the ultrasonic signal synchronously. The designated area includes the adjacent area of ​​the target electrical equipment or the location where the discharge may occur based on the specific structure of the electrical equipment and the location where the discharge may occur. The density and location of the sensors are rationally planned to ensure that there are no blind spots.

[0027] S2: Based on the acoustic and electrical joint signals collected by multiple sensor nodes, the preliminary positioning results of the local discharge source are calculated through the time difference algorithm and the intensity difference algorithm.

[0028] In this embodiment, step S2 specifically includes: S21: For the acoustic-electrical joint signals collected by multiple UHF sensors and ultrasonic sensors, the time delay between each sensor node and the partial discharge source is calculated based on the time difference algorithm.

[0029] Specifically, the time delay between each sensor node and the PD source is ,in, is the time when the i-th sensor receives the signal, is the time when the reference sensor receives the signal.

[0030] S22: Calculate the first distance and the second distance of the acoustic wave signal and the electromagnetic wave signal from the partial discharge power source to each sensor node according to the time delay, the known sound speed and the electromagnetic wave propagation speed.

[0031] In this embodiment, the first distance of the acoustic wave signal from the partial discharge source to each sensor node is calculated according to the time delay and the known sound speed; the second distance of the electromagnetic wave signal to each sensor node is calculated according to the time delay and the electromagnetic wave propagation speed.

[0032] Specifically, the known speed of sound is approximately 343 m / s at standard atmospheric pressure (101.325 kPa) and a temperature of 20°C; the speed of electromagnetic wave propagation is equal to the speed of light, which is 299,792,458 m / s.

[0033] Furthermore, the speed of sound and electromagnetic wave propagation speed are customized according to the actual application environment and installation environment. If the sound wave or electromagnetic wave needs to pass through different media (such as insulating oil, solid insulating material, etc.), the speed of sound and electromagnetic wave propagation speed will be different. For example, in transformer oil, the speed of sound is about 1400m / s. At the same time, environmental conditions such as temperature, humidity and pressure will affect the speed of sound. Therefore, corresponding corrections should be made in high-precision measurements in actual applications.

[0034] S23: Combined with the strength difference algorithm, the signal strengths received by different sensor nodes are compared to correct the error caused by path loss; the path loss factor is introduced and the signal strength received by each sensor node from the partial discharge power source is calculated to obtain the receiving strength data.

[0035] Specifically, each sensor node records the received signal strength , the calculation formula is: , where A is the received power of the reference point distance sensor at a specified distance, is the actual received signal strength, is the path loss factor of the target electrical device, and D is the distance between the sensor node and the signal source.

[0036] S24: Determine a preliminary positioning result of the local discharge source by using a multilateral distance measurement method and combining the first distance, the second distance and the receiving intensity data.

[0037] Specifically, the multilateral ranging method is used to combine the distance information of multiple sensor nodes, and the preliminary position coordinates of the partial discharge source are determined through geometric operations, usually using the least squares method or trilateration method.

[0038] S3: Collect environmental parameter data, historical operation data and electrical equipment structure information inside the electrical equipment.

[0039] In this embodiment, environmental parameter data includes environmental parameter data such as temperature and humidity; historical operation data refers to various operating status records accumulated by electrical equipment during its life cycle, including operating parameters (voltage and current waveforms, temperature records, humidity records and power factor), maintenance records, performance indicators (load rate, efficiency changes, harmonic content), environmental conditions (temperature and humidity, atmospheric pressure), operation logs and alarm records, etc.; electrical equipment structural information refers to the equipment's overall dimensions, internal component layout, material properties, signal transmission path, reflective surface and absorptive surface, and sensor installation location.

[0040] Specifically, temperature and humidity sensors and other environmental monitoring equipment are installed to collect the environmental parameters inside the electrical equipment in real time, and a database is established to store the historical operating data and structural information of the electrical equipment.

[0041] S4: Inputting the preliminary positioning result, the electrical equipment structure information of the target electrical equipment, and the environmental parameter data into a preset error correction model, and obtaining the error correction interval corresponding to the preliminary positioning result.

[0042] In this embodiment, step S4 includes: S41: In a preset error correction model, based on the electrical equipment structure information of the target electrical equipment, a preset error evaluation algorithm is used to respectively perform error estimation on the preliminary positioning result and the corresponding environmental parameter data to obtain a preliminary positioning error value and an environmental parameter error value.

[0043] Specifically, based on the electrical equipment structure information of the target electrical equipment, a three-dimensional coordinate system is constructed, and the position information of all sensor nodes is converted into coordinate points in the three-dimensional coordinate system. , where i is the sensor number; According to formula (1), the Euclidean distance between each preliminary positioning result and the actual known PD source location is calculated as the preliminary positioning deviation value. : in, is the location coordinate of the known partial discharge source, and n is the number of samples of the preliminary positioning result; Calculate the environmental parameter deviation value according to formula (2) : in, To consider the actual received power of environmental factors, It is the receiving power under the preset standard environment.

[0044] S42: Calculate and obtain an error correction interval corresponding to the preliminary positioning result according to the preliminary positioning error value, the environmental parameter error value and a preset error correction function.

[0045] Specifically, the environmental correction coefficient of each preliminary positioning result is calculated using formula (3): : in, , are the temperature influence coefficient and the humidity influence coefficient respectively, and are the temperature and humidity under standard environmental conditions, respectively; Combining the path loss factor and the environmental correction coefficient, the error estimate of each preliminary positioning result is calculated according to formula (4): : is the distance between the preliminary positioning result and the known reference point, A is the received power of the sensor at the specified distance from the reference point, is the actual received signal strength, is the path loss factor of the target electrical device.

[0046] S43: Generate a device identification based on the electrical device structure information of the target electrical device, and associate the device identification with a corresponding error correction interval to identify error correction requirements under different environmental conditions.

[0047] Specifically, the Kalman filter is used to smooth the error estimate to reduce the impact of measurement noise and environmental interference. Based on the smoothed error estimate, the range of the error correction interval is dynamically adjusted to ensure the real-time and accuracy of error correction. The minimum value of the error correction interval is equal to the error estimate minus the set error threshold, and the maximum value of the error correction interval is equal to the error estimate minus plus the set error threshold.

[0048] S5: When a preliminary positioning result exceeds the corresponding error correction interval, obtain the timestamp corresponding to the preliminary positioning result; perform multi-source information fusion positioning based on environmental parameter data, historical operation data, electrical equipment structure information and corresponding timestamps, and analyze and determine the final positioning coordinates of the local discharge source.

[0049] In this embodiment, when a preliminary positioning result exceeds the error correction interval, the timestamp corresponding to the preliminary positioning result is recorded, and all environmental parameter data and historical operation data at that moment are extracted based on the timestamp and the location information of all sensor nodes.

[0050] Specifically, based on the timestamp and the location information of all sensor nodes , construct a multi-source information fusion model, which combines the time difference algorithm and the intensity difference algorithm, Using formula (5), the distance between each sensor node and the partial discharge source is : in, is the location of the partial discharge source in the preliminary positioning result, A is the received power of the reference point at the specified distance from the sensor, is the actual received signal strength, is the path loss factor of the target electrical device, For the environmental correction factor, data obtained from different sources (such as environmental parameters, historical operating data, and electrical equipment structure information) are integrated to form a comprehensive data set for a more comprehensive analysis of partial discharge situations.

[0051] Furthermore, the Kalman filter smoothes the results of multi-source information fusion to reduce the impact of measurement noise and environmental interference. The Kalman filter can dynamically adjust the weight between the predicted value and the observed value, thereby improving the stability of the positioning result. The Kalman filter updates the state estimate at the next moment based on the current state estimate and new observation data to ensure that the system can track the changes in the local discharge source in real time. The weighted average algorithm is then used to calculate the final positioning coordinates. : The weighted average algorithm is .

[0052] in, is the weight of each sensor node, determined by its signal strength and distance, For the number of sensor nodes, the confidence of the final positioning coordinates is evaluated to ensure that it meets the preset accuracy requirements. If the confidence is insufficient, further data collection or recalculation is triggered.

[0053] In one embodiment, if Figure 2 As shown, in step S1, multiple sensor nodes are deployed based on the target electrical equipment to simultaneously collect electromagnetic signals and acoustic wave signals generated by partial discharge, specifically including: S11: Multiple ultra-high frequency sensors and ultrasonic sensors for detecting partial discharge signals are arranged at intervals inside the target electrical equipment or in a designated area.

[0054] In this embodiment, the number of sensors is reasonably configured according to the size and complexity of the electrical equipment. It is generally recommended to arrange at least 3 sensors per cubic meter of space, and the distance between adjacent sensors should be kept within a certain range, usually 0.5 meters to 2 meters, to ensure signal coverage and reduce blind spots.

[0055] S12: When local discharge occurs, the UHF sensor receives the UHF electromagnetic wave signal generated by the local discharge, and the ultrasonic sensor synchronously receives the ultrasonic signal generated by the local discharge.

[0056] In this embodiment, a synchronous trigger circuit is designed to ensure that all sensors start collecting signals at the same time, and a high-speed data acquisition card can be used to simultaneously record UHF signals and ultrasonic signals at a high sampling rate.

[0057] S13: Based on the corresponding position information recorded by the sensor node and the received signal strength, and based on the position information and signal strength recorded by all the sensor nodes, an initial signal distribution map is generated.

[0058] In this embodiment, an efficient data storage and transmission system is designed to ensure that the data collected by the sensor nodes can be uploaded to the central processing unit for processing in real time. Special signal strength analysis software is developed to quantitatively analyze the signal strength received by each sensor node and generate a corresponding numerical matrix. The location information and signal strength data of the sensor nodes are combined using three-dimensional modeling software to construct a detailed initial signal distribution map. The spatial distribution of the signal strength is intuitively displayed in a visual way, which helps to identify potential interference sources and optimize the sensor deployment plan.

[0059] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0060] In one embodiment, a system for locating local discharge based on combined acoustic and electrical signals is provided, and the system for locating local discharge based on combined acoustic and electrical signals corresponds to the method for locating local discharge based on combined acoustic and electrical signals in the above-mentioned embodiment.

[0061] The local discharge positioning system based on acoustic and electrical combined signals includes a data acquisition module, a preliminary positioning module, an environmental parameter acquisition module, an error correction module and a multi-source information fusion positioning module. The detailed description of each functional module is as follows: A data acquisition module is used to deploy multiple sensor nodes inside or near the target electrical equipment and simultaneously collect electromagnetic signals and acoustic wave signals generated by partial discharge; The preliminary positioning module calculates the preliminary positioning result of the local discharge source through the time difference algorithm and the intensity difference algorithm based on the acoustic and electrical joint signals collected by multiple sensor nodes; Environmental parameter collection module, used to collect environmental parameter data, historical operation data and electrical equipment structure information inside the electrical equipment; An error correction module, used to input the preliminary positioning result, the electrical equipment structure information of the target electrical equipment, and the environmental parameter data into a preset error correction model, and obtain the error correction interval corresponding to the preliminary positioning result; The multi-source information fusion positioning module is used to obtain the timestamp corresponding to the preliminary positioning result when a preliminary positioning result exceeds the corresponding error correction interval; multi-source information fusion positioning is performed based on environmental parameter data, historical operation data, electrical equipment structure information and corresponding timestamps, and the final positioning coordinates of the local discharge source are analyzed and determined.

[0062] Optionally, the data acquisition module specifically includes: A sensor placement unit, used for placing a plurality of ultra-high frequency sensors and ultrasonic sensors for detecting partial discharge signals at intervals inside the target electrical equipment or in a designated area; When partial discharge occurs, the UHF sensor receives the UHF electromagnetic wave signal generated by the partial discharge, and the ultrasonic sensor synchronously receives the ultrasonic signal generated by the partial discharge; The signal processing unit is used to generate an initial signal distribution diagram based on the corresponding position information and received signal strength recorded by the sensor node and based on the position information and signal strength recorded by all the sensor nodes.

[0063] For the specific limitations of the system for local discharge locating based on combined acoustic and electric signals, please refer to the limitations of the method for local discharge locating based on combined acoustic and electric signals in the above text, which will not be repeated here; the various modules in the above-mentioned system for local discharge locating based on combined acoustic and electric signals can be fully or partially implemented by software, hardware and a combination thereof; the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0064] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store acoustic-electric combined signals, preliminary positioning results and final positioning coordinates, etc. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for local discharge positioning based on acoustic-electric combined signals is implemented.

[0065] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: S1: Deploy multiple sensor nodes based on the target electrical equipment to simultaneously collect electromagnetic signals and acoustic signals generated by partial discharge; S2: Based on the acoustic and electrical joint signals collected by multiple sensor nodes, the preliminary positioning results of the local discharge source are calculated through the time difference algorithm and the intensity difference algorithm; S3: Collect environmental parameter data, historical operation data and electrical equipment structure information inside the electrical equipment; S4: inputting the preliminary positioning result, the electrical equipment structure information of the target electrical equipment, and the environmental parameter data into a preset error correction model, and obtaining the error correction interval corresponding to the preliminary positioning result; S5: When a preliminary positioning result exceeds the corresponding error correction interval, obtain the timestamp corresponding to the preliminary positioning result; perform multi-source information fusion positioning based on environmental parameter data, historical operation data, electrical equipment structure information and corresponding timestamps, and analyze and determine the final positioning coordinates of the local discharge source.

[0066] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: S1: Deploy multiple sensor nodes based on the target electrical equipment to simultaneously collect electromagnetic signals and acoustic signals generated by partial discharge; S2: Based on the acoustic and electrical joint signals collected by multiple sensor nodes, the preliminary positioning results of the local discharge source are calculated through the time difference algorithm and the intensity difference algorithm; S3: Collect environmental parameter data, historical operation data and electrical equipment structure information inside the electrical equipment; S4: inputting the preliminary positioning result, the electrical equipment structure information of the target electrical equipment, and the environmental parameter data into a preset error correction model, and obtaining the error correction interval corresponding to the preliminary positioning result; S5: When a preliminary positioning result exceeds the corresponding error correction interval, obtain the timestamp corresponding to the preliminary positioning result; perform multi-source information fusion positioning based on environmental parameter data, historical operation data, electrical equipment structure information and corresponding timestamps, and analyze and determine the final positioning coordinates of the local discharge source.

[0067] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0068] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0069] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for locating partial discharge based on acoustic and electrical combined signals, characterized in that: include: Deploy multiple sensor nodes based on the target electrical equipment to simultaneously collect electromagnetic signals and acoustic signals generated by partial discharge; Based on the acoustic and electrical joint signals collected by the plurality of sensor nodes, a preliminary positioning result of the local discharge source is calculated by using a time difference algorithm and an intensity difference algorithm; Collect environmental parameter data, historical operation data and electrical equipment structure information inside the electrical equipment; Inputting the preliminary positioning result, electrical equipment structure information of the target electrical equipment, and environmental parameter data into a preset error correction model, and obtaining an error correction interval corresponding to the preliminary positioning result; When a preliminary positioning result exceeds the corresponding error correction interval, a timestamp corresponding to the preliminary positioning result is obtained; multi-source information fusion positioning is performed based on the environmental parameter data, historical operation data, electrical equipment structure information and the corresponding timestamp, and the final positioning coordinates of the local discharge source are analyzed and determined.

2. The method for localizing partial discharge based on acoustic-electric combined signals according to claim 1, characterized in that: The method of deploying multiple sensor nodes based on the target electrical equipment to simultaneously collect electromagnetic signals and acoustic wave signals generated by partial discharge includes: Arranging a plurality of ultra-high frequency sensors and ultrasonic sensors for detecting partial discharge signals at intervals inside the target electrical equipment or in a designated area; When partial discharge occurs, the UHF sensor receives the UHF electromagnetic wave signal generated by the partial discharge, and the ultrasonic sensor synchronously receives the ultrasonic signal generated by the partial discharge; Based on the corresponding position information and received signal strength recorded by the sensor node, and based on the position information and signal strength recorded by all sensor nodes, an initial signal distribution map is generated.

3. The method for localizing partial discharge based on acoustic-electric combined signals according to claim 1, characterized in that: The step of inputting the preliminary positioning result, the electrical equipment structure information of the target electrical equipment, and the environmental parameter data into a preset error correction model, and obtaining the error correction interval corresponding to the preliminary positioning result includes: In a preset error correction model, based on the electrical equipment structure information of the target electrical equipment, a preset error evaluation algorithm is used to respectively perform error estimation on the preliminary positioning result and the corresponding environmental parameter data to obtain a preliminary positioning error value and an environmental parameter error value; Calculate and obtain the error correction interval corresponding to the preliminary positioning result according to the preliminary positioning error value, the environmental parameter error value and a preset error correction function; A device identification is generated based on the electrical device structure information of the target electrical device, and the device identification is associated with a corresponding error correction interval to identify error correction requirements under different environmental conditions.

4. The method for localizing partial discharge based on acoustic-electric combined signals according to claim 3, characterized in that: The electrical equipment structure information based on the target electrical equipment uses a preset error evaluation algorithm to respectively perform error estimation on the preliminary positioning result and the corresponding environmental parameter data to obtain a preliminary positioning error value and an environmental parameter error value, specifically including: Based on the electrical equipment structure information of the target electrical equipment, a three-dimensional coordinate system is constructed, and the position information of all sensor nodes is converted into coordinate points in the three-dimensional coordinate system. , where i is the sensor number; According to formula (1), the Euclidean distance between each preliminary positioning result and the actual known PD source location is calculated as the preliminary positioning deviation value. : in, is the location coordinate of the known partial discharge source, and n is the number of samples of the preliminary positioning result; Calculate the environmental parameter deviation value according to formula (2) : in, To consider the actual received power of environmental factors, It is the receiving power under the preset standard environment.

5. The method for localizing partial discharge based on acoustic-electric combined signals according to claim 4, characterized in that: The method further includes inputting the preliminary positioning result, the electrical equipment structure information of the target electrical equipment, and the environmental parameter data into a preset error correction model, and obtaining the error correction interval corresponding to the preliminary positioning result: Use formula (3) to calculate the environmental correction factor for each preliminary positioning result : in, , are the temperature influence coefficient and the humidity influence coefficient respectively, and are the temperature and humidity under standard environmental conditions, respectively; Combining the path loss factor and the environmental correction coefficient, the error estimate of each preliminary positioning result is calculated according to formula (4): : is the distance between the preliminary positioning result and the known reference point, A is the received power of the sensor at the specified distance from the reference point, is the actual received signal strength, is the path loss factor of the target electrical device.

6. The method for localizing partial discharge based on acoustic-electric combined signals according to claim 2 or 5, characterized in that: The method of obtaining a preliminary positioning result of a local discharge source by calculating the acoustic-electrical combined signals collected by the plurality of sensor nodes through a time difference algorithm and an intensity difference algorithm includes: For the acoustic-electrical joint signals collected by the plurality of UHF sensors and the ultrasonic sensors, the time delay between each sensor node and the partial discharge power source is calculated based on a time difference algorithm; According to the time delay, the known sound speed and the electromagnetic wave propagation speed, the first distance and the second distance of the acoustic wave signal and the electromagnetic wave signal from the partial discharge power source to each sensor node are calculated respectively; Combined with the strength difference algorithm, the signal strengths received by different sensor nodes are compared to correct the error caused by path loss; the path loss factor is introduced and the signal strength received by each sensor node from the partial discharge power source is calculated to obtain the receiving strength data: A preliminary positioning result of the local discharge source is determined by using a multilateral ranging method and combining the first distance, the second distance and the receiving intensity data.

7. A system for localizing partial discharge based on combined acoustic and electrical signals, characterized in that: A method for localizing partial discharge based on acoustic-electric combined signals as described in any one of claims 1 to 6, the system comprising: A data acquisition module is used to deploy multiple sensor nodes inside or near the target electrical equipment and simultaneously collect electromagnetic signals and acoustic wave signals generated by partial discharge; A preliminary positioning module, based on the acoustic and electrical joint signals collected by the plurality of sensor nodes, calculates the preliminary positioning result of the local discharge source through a time difference algorithm and an intensity difference algorithm; Environmental parameter collection module, used to collect environmental parameter data, historical operation data and electrical equipment structure information inside the electrical equipment; An error correction module, used to input the preliminary positioning result, electrical equipment structure information of the target electrical equipment, and environmental parameter data into a preset error correction model, and obtain an error correction interval corresponding to the preliminary positioning result; The multi-source information fusion positioning module is used to obtain a timestamp corresponding to a preliminary positioning result when the preliminary positioning result exceeds the corresponding error correction interval; perform multi-source information fusion positioning based on the environmental parameter data, historical operation data, electrical equipment structure information and the corresponding timestamp, and analyze and determine the final positioning coordinates of the local discharge source.

8. The system for localizing partial discharge based on acoustic-electric combined signals according to claim 7, characterized in that: The data acquisition module specifically includes: A sensor arrangement unit, used for arranging a plurality of ultra-high frequency sensors and ultrasonic sensors for detecting partial discharge signals at intervals inside the target electrical equipment or in a designated area; When partial discharge occurs, the UHF sensor receives the UHF electromagnetic wave signal generated by the partial discharge, and the ultrasonic sensor synchronously receives the ultrasonic signal generated by the partial discharge; The signal processing unit is used to generate an initial signal distribution diagram based on the corresponding position information and received signal strength recorded by the sensor node and based on the position information and signal strength recorded by all sensor nodes.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for locating partial discharge based on acoustic-electric combined signals as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for locating partial discharge based on acoustic-electric combined signals as claimed in any one of claims 1 to 6 are implemented.

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