GIS partial discharge acoustic-photoelectric multi-parameter composite detection method and sensor
By integrating multi-parameter information and calculating the comprehensive evaluation coefficient of GIS insulation quality, the blind spots and insufficient evaluation problems of existing GIS equipment local discharge detection methods are solved, and high accuracy and comprehensive monitoring of the internal discharge conditions of GIS equipment are achieved.
Patent Information
- Application Number
- CN202411617968.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-13
- Publication Date
- 2025-02-18
AI Technical Summary
The existing GIS equipment local discharge detection methods have blind spots and lack a comprehensive evaluation index system, which makes it impossible to accurately evaluate and predict the internal discharge of GIS equipment.
The GIS partial discharge acoustic and photoelectric multi-parameter composite detection method is adopted to calculate the comprehensive evaluation coefficient of GIS insulation quality by integrating electrical, acoustic, optical and sensor stability information to achieve comprehensive and comprehensive monitoring of the internal discharge conditions of GIS equipment.
It improves the accuracy and comprehensiveness of monitoring internal discharge conditions of GIS equipment, promptly detects the risks of insulation failures, and improves the operating reliability and grid safety of GIS equipment.
Smart Images

Figure CN119471254A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of partial discharge detection, and more specifically, to a GIS partial discharge acoustic-optical multi-parameter composite detection method and a sensor. Background Art
[0002] GIS is a grid unit device with sealed insulating gas inside. Partial discharge is the external manifestation of its internal insulation degradation. Partial discharge will produce a series of physical phenomena and chemical changes such as light, sound, electrical and mechanical vibration inside and around the power equipment. These various physical and chemical changes caused by partial discharge can provide detection signals for monitoring the internal insulation status of power equipment. By detecting and analyzing partial discharge signals, it is possible to determine whether there are insulation hazards inside high-voltage electrical equipment and prevent further expansion of potential accidents, which is of great significance to the safe operation of GIS.
[0003] GIS partial discharge acoustic-optical multi-parameter composite sensor is a sensor that integrates multiple detection technologies such as ultra-high frequency, ultrasonic, transient ground voltage and optics. The sensor can simultaneously receive multiple physical signals generated by partial discharge inside GIS, and through comprehensive analysis of these signals, it can accurately monitor partial discharge.
[0004] However, there are still some shortcomings in its actual use. For example, the existing technology mainly adopts ultrasonic detection and ultra-high frequency detection methods. However, long-term field engineering experience shows that the two single detection methods have obvious deficiencies in actual engineering applications. First, due to the limitation of the principle, both detection methods have certain detection blind spots in partial discharge detection: the ultrasonic method cannot detect defects that sound waves cannot transmit, such as internal defects of insulators; and the ultra-high frequency method has poor sensitivity to defects with low electromagnetic wave frequencies, such as surface discharge of insulators. The existence of detection blind spots leads to frequent "missing reports" of the two detection methods in field applications. At the same time, the existing technology lacks an indicator system specifically for monitoring the internal discharge of GIS equipment. The traditional internal discharge monitoring means of GIS equipment is limited by the limitations of its technology and methods, and it is difficult to achieve accurate evaluation and prediction of the internal discharge of GIS equipment. This deficiency makes it impossible to make a more comprehensive and accurate comprehensive evaluation and prediction of the internal discharge of GIS equipment. Therefore, it is of great significance to develop a new monitoring indicator system that can accurately reflect the internal discharge of GIS equipment to improve the quality management level of GIS equipment. Summary of the invention
[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a GIS partial discharge acoustic, optical and electrical multi-parameter composite detection method and sensor, and solves the problems raised in the above-mentioned background technology through the following scheme.
[0006] To achieve the above object, the present invention provides the following technical solutions:
[0007] The first aspect of the present invention provides a GIS partial discharge acoustic, optical and electrical multi-parameter composite detection method, comprising:
[0008] Step 1, numbering the GIS devices in sequence, and filtering the partial discharge characteristic text data of different GIS devices according to the numbers;
[0009] Step 2, based on the data filtered in step 1, collect electrical information, acoustic information, optical information and sensor stability information to obtain the first discharge information key text;
[0010] Step 3, based on the first discharge key information text obtained in step 2, perform standardization processing and analysis to obtain a second discharge key information text;
[0011] Step 4, based on the second discharge information key text obtained in step 3, respectively calculate the acoustic, optical, electrical and sensor stability coefficients, and on this basis calculate the GIS insulation quality comprehensive evaluation coefficient;
[0012] Step 5, based on the comprehensive evaluation coefficient calculated in step 4, screening the GIS insulation quality comprehensive evaluation coefficient that is less than a preset value, and matching the corresponding second discharge information key text;
[0013] Step 6: Based on the second discharge information key text screened out in step 5, determine the GIS equipment with unqualified insulation quality.
[0014] Preferably, in step 2, the first discharge information key text includes: sound pressure level parameters, ultrasonic signal intensity parameters, acoustic wave spectrum abnormal frequency number parameters, light pulse intensity parameters, light signal pulse width parameters, spectrum distribution abnormal number parameters, discharge amount parameters, electromagnetic wave frequency abnormal number parameters, electromagnetic wave attenuation rate parameters, discharge number parameters, signal-to-noise ratio parameters, bit error rate parameters, coherence time parameters and signal transmission time parameters.
[0015] Preferably, in step 2, the sound pressure level parameter of the first discharge information key text is the sound pressure level; the ultrasonic signal strength parameter is the ultrasonic signal strength; the acoustic spectrum abnormal frequency number parameter is the acoustic spectrum abnormal frequency number; the light pulse intensity parameter is the light pulse intensity; the light signal pulse width parameter is the light signal pulse width; the spectral distribution abnormal number parameter is the spectral distribution abnormal number; the discharge amount parameter is the discharge amount; the electromagnetic wave frequency abnormal number parameter is the electromagnetic wave frequency abnormal number; the electromagnetic wave attenuation rate parameter is the electromagnetic wave attenuation rate; the discharge number parameter is the discharge number; the signal-to-noise ratio parameter is the signal-to-noise ratio; the bit error rate parameter is the bit error rate; the coherence time parameter is the coherence time; and the signal transmission time parameter is the signal transmission time.
[0016] Preferably, in step 3, the standardization process is a Z-score standardization process, which is used to convert the original data of the first discharge information key text into a standardized Z-Score second discharge information key text.
[0017] Preferably, in step 4, the calculation formulas for the acoustic, optical, electrical and sensor stability coefficients are as follows:
[0018]
[0019] Where AS is the acoustic detection coefficient, f i is the ultrasonic signal intensity, m i is the sound pressure level, k i is the number of abnormal frequencies in the sound wave spectrum, and e is a constant e;
[0020]
[0021] Where AG is the optical detection coefficient, q i is the light pulse intensity, s i is the optical signal pulse width, z i is the number of abnormal spectral distribution;
[0022]
[0023] Among them, AD is the electrical detection coefficient, h i is the discharge capacity, g i is the number of abnormal electromagnetic wave frequency, p i is the electromagnetic wave attenuation rate, b i is the number of discharges;
[0024]
[0025] Where AW is the sensor stability coefficient, v i is the signal-to-noise ratio, c i is the bit error rate, t i is the coherence time, T i is the signal transmission time.
[0026] Preferably, in step 4, the calculation formula of the comprehensive evaluation coefficient of GIS insulation quality is as follows:
[0027] ω=γ1AS+γ2AG+γ3AD+γ4AW
[0028] Among them, ω is the comprehensive evaluation coefficient of GIS insulation quality, and γ1, γ2, γ3, and γ4 are weight coefficients.
[0029] The second aspect of the present invention provides a GIS partial discharge acoustic-optical multi-parameter composite sensor, which is used to implement the above-mentioned GIS partial discharge acoustic-optical multi-parameter composite detection method, including:
[0030] System central processing module, system operation database, user information terminal, GIS partial discharge information acquisition module, GIS partial discharge information text mining module, data standardization processing module, GIS partial discharge comprehensive analysis module, GIS partial discharge comprehensive judgment module and sensor information interaction module;
[0031] The system central processing module is used to control the information text instructions output by each module;
[0032] The system operation database is used to collect the GIS partial discharge acoustic, optical and electrical multi-parameter information text output by each module in real time;
[0033] The user information terminal is used to receive the information output of the GIS partial discharge acoustic, optical and electrical multi-parameter composite sensor;
[0034] The GIS partial discharge information acquisition module is used to filter the GIS partial discharge feature text data according to different GIS devices to obtain the GIS partial discharge feature text data. The filtering times are recorded as 1, 2, 3…i…n in sequence, and the GIS partial discharge feature text data is output to the GIS partial discharge information text mining module.
[0035] The GIS partial discharge information text mining module is used to select the first discharge information key text from the GIS partial discharge feature text data to obtain the first discharge information key text;
[0036] The data standardization processing module is used for standardizing the first discharge information key text data into the second discharge information key text;
[0037] The GIS partial discharge comprehensive analysis module is used to process and analyze the key text of the second discharge information and calculate the comprehensive evaluation coefficient of GIS insulation quality;
[0038] The GIS partial discharge comprehensive judgment module is used to screen the GIS insulation quality comprehensive evaluation coefficient that is less than a preset value, and output the corresponding second discharge information key text;
[0039] The sensor information interaction module is used to import the screening results of the GIS partial discharge comprehensive judgment module to the user information terminal.
[0040] Preferably, the system central processing module is electrically connected to the GIS local discharge information acquisition module, the GIS local discharge information text mining module, the data standardization processing module, the GIS local discharge comprehensive analysis module, the GIS local discharge comprehensive judgment module, the sensor information interaction module and the system operation database respectively; the output end of the GIS local discharge information acquisition module is telecommunication connected to the input end of the GIS local discharge information text mining module, the output end of the GIS local discharge information text mining module is telecommunication connected to the input end of the data standardization processing module, the output end of the data standardization processing module is telecommunication connected to the input end of the GIS local discharge comprehensive analysis module, the output end of the GIS local discharge comprehensive analysis module is telecommunication connected to the input end of the GIS local discharge comprehensive judgment module, the output end of the GIS local discharge comprehensive judgment module is telecommunication connected to the input end of the sensor information interaction module, and the output end of the sensor information interaction module is telecommunication connected to the user information end.
[0041] Preferably, the GIS partial discharge information text mining module includes: an electrical information acquisition unit, an acoustic information acquisition unit, an optical information acquisition unit, and a sensor stability information acquisition unit;
[0042] The electrical information acquisition unit is used to acquire the first discharge information key text within the electrical information range;
[0043] The acoustic information collection unit is used to collect the first discharge information key text within the acoustic information range;
[0044] The optical information acquisition unit is used to acquire the key text of the first discharge information in the optical information range;
[0045] The sensor stability information acquisition unit is used to acquire a first discharge information key text within the sensor stability information range.
[0046] A third aspect of the present invention provides a terminal, including a processor and a storage medium;
[0047] The storage medium is used to store instructions;
[0048] The processor is used to operate according to the instructions to execute the steps of the above method.
[0049] Technical effects and advantages of the present invention:
[0050] 1. The present invention carefully screens the GIS equipment information database and deeply mines the basic information elements therein. These key information covers four dimensions: electrical information, optical information, acoustic information, and sensor stability information inside the GIS equipment. By integrating and comprehensively analyzing these multi-dimensional information, the present invention can monitor and evaluate the internal discharge of GIS equipment in real time with unprecedented accuracy and comprehensiveness, and can promptly detect GIS equipment with insulation failure risks, thereby improving the operational reliability of GIS, ensuring the safe operation of the power grid, providing a scientific basis for the maintenance and optimization of the power system, and laying a solid foundation for the intelligent and refined management of modern power systems;
[0051] 2. The present invention creatively constructs a comprehensive and accurate mathematical model by deeply analyzing the detailed data mined. The model cleverly integrates the four core dimensions of ultrasonic signals, optical signals, electrical signals and sensor signal stability, and realizes a comprehensive and comprehensive measurement of the internal discharge of GIS equipment. Through the establishment of this comprehensive model, the present invention improves the underreporting problem caused by the traditional detection method due to its over-singleness, so that they can grasp the overall situation of internal discharge of GIS equipment more timely and accurately, and improve the timeliness and accuracy of partial discharge defect detection. BRIEF DESCRIPTION OF THE DRAWINGS
[0052] Figure 1 It is a schematic diagram of the overall structure of the present invention;
[0053] Figure 2 It is a schematic diagram of the sensor structure of the present invention;
[0054] Figure 3 It is a structural schematic diagram of the GIS partial discharge information text mining module of the present invention. DETAILED DESCRIPTION
[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0056] like Figure 1 As shown, the embodiment of the present invention provides a GIS partial discharge acoustic, optical and electrical multi-parameter composite detection method, including:
[0057] Step 1, GIS partial discharge information acquisition, GIS equipment is numbered in sequence, the numbers are recorded as 1, 2, 3...i...n, and partial discharge feature text data of different GIS equipment are filtered according to the numbers;
[0058] The local discharge feature text data of different GIS devices includes the corresponding GIS device number information. Step 2, GIS local discharge information text mining, based on the data filtered in step 1, collect electrical information, acoustic information, optical information and sensor stability information to obtain the first discharge information key text;
[0059] In a preferred but non-limiting embodiment of the present invention, the first discharge information key text is as follows:
[0060] What needs to be specifically explained in this embodiment is that the key text of the first discharge information includes: sound pressure level parameter, ultrasonic signal intensity parameter, acoustic wave spectrum abnormal frequency number parameter, light pulse intensity parameter, light signal pulse width parameter, spectrum distribution abnormal number parameter, discharge amount parameter, electromagnetic wave frequency abnormal number parameter, electromagnetic wave attenuation rate parameter, discharge number parameter, signal-to-noise ratio parameter, bit error rate parameter, coherence time parameter and signal transmission time parameter.
[0061] In a preferred but non-limiting embodiment of the present invention, the sound pressure level parameter is the sound pressure level, denoted by m i ; The ultrasonic signal strength parameter is the ultrasonic signal strength, denoted as f i ; The parameter of the number of abnormal frequencies of the acoustic spectrum is the number of abnormal frequencies of the acoustic spectrum, denoted as k i ; The light pulse intensity parameter is the light pulse intensity, denoted as q i ; The optical signal pulse width parameter is the optical signal pulse width, denoted as s i ; The spectral distribution anomaly number parameter is the spectral distribution anomaly number, denoted as z i ; The discharge capacity parameter is the discharge capacity, recorded as h i ; The electromagnetic wave frequency anomaly number parameter is the electromagnetic wave frequency anomaly number, denoted as g i ; The electromagnetic wave attenuation rate parameter is the electromagnetic wave attenuation rate, denoted as p i ; The discharge number parameter is the discharge number, denoted as b i ; The signal-to-noise ratio parameter is the signal-to-noise ratio, denoted as v i ; The bit error rate parameter is the bit error rate, denoted by c i ; The coherence time parameter is the coherence time, denoted as t i ; The signal transmission time parameter is the signal transmission time, denoted as T i .
[0062] It should be specifically explained in this embodiment that the electromagnetic wave attenuation rate is specifically the rate at which the energy of the electromagnetic wave gradually weakens as the distance increases during the propagation process;
[0063] It should be specifically noted in this embodiment that the bit error rate is specifically the ratio of the number of erroneously received bits to the total number of bits during data transmission;
[0064] It should be specifically explained in this embodiment that the coherence time is specifically the maximum time interval during which the signal maintains coherence in time;
[0065] Step 3, based on the first discharge key information text obtained in step 2, perform standardization processing and analysis to obtain a second discharge key information text;
[0066] Data standardization processing is used to perform standardization processing and analysis on the first discharge information key text data to obtain the second discharge information key text and output the second discharge information key text.
[0067] In a preferred but non-limiting embodiment of the present invention, the standardization processing is specifically a Z-score standardization processing. This method converts the first discharge information key text data into a second discharge information key text with a standardized Z-Score score by calculating the mean and standard deviation of the first discharge information key text data. The second discharge information key text still contains the GIS equipment number information.
[0068] Step 4, based on the second discharge information key text obtained in step 3, respectively calculate the acoustic, optical, electrical and sensor stability coefficients, and on this basis calculate the GIS insulation quality comprehensive evaluation coefficient;
[0069] Based on the second discharge information key text obtained in step 3, the pre-trained mathematical models of electrical detection coefficient, optical detection coefficient, acoustic detection coefficient, sensor stability coefficient and GIS insulation quality comprehensive evaluation coefficient are imported and processed and analyzed to obtain the text output value based on the second discharge information key text, and the text output value of the second discharge information key text is output.
[0070] It should be specifically explained in this embodiment that the text output value of the second discharge information key text includes: an acoustic detection coefficient, an optical detection coefficient, an electrical detection coefficient, a sensor stability coefficient, and a GIS insulation quality comprehensive evaluation coefficient.
[0071] It should be specifically explained in this embodiment that the calculation formula adopted by the mathematical model of the acoustic detection coefficient is as follows:
[0072]
[0073] Where AS is the acoustic detection coefficient, f i is the ultrasonic signal intensity, m i is the sound pressure level, k i is the number of abnormal frequencies in the acoustic spectrum, and e is a constant e; in this embodiment, it should be specifically explained that the calculation formula used in the mathematical model of the optical detection coefficient is as follows:
[0074]
[0075] Where AG is the optical detection coefficient, q i is the light pulse intensity, s i is the optical signal pulse width, z i is the number of abnormal spectral distribution;
[0076] It should be specifically explained in this embodiment that the calculation formula used in the mathematical model of the electrical detection coefficient is as follows:
[0077]
[0078] Among them, AD is the electrical detection coefficient, h i is the discharge capacity, g i is the number of abnormal electromagnetic wave frequency, p i is the electromagnetic wave attenuation rate, b i is the number of discharges;
[0079] It should be specifically explained in this embodiment that the calculation formula adopted by the mathematical model of the sensor stability coefficient is as follows:
[0080]
[0081] Where AW is the sensor stability coefficient, v i is the signal-to-noise ratio, c i is the bit error rate, t i is the coherence time, T i is the signal transmission time;
[0082] It should be specifically explained in this embodiment that the calculation formula adopted by the mathematical model of the comprehensive evaluation coefficient of GIS insulation quality is as follows:
[0083] ω=γ1AS+γ2AG+γ3AD+γ4AW
[0084] Among them, ω is the comprehensive evaluation coefficient of GIS insulation quality, AS is the acoustic detection coefficient, AG is the optical detection coefficient, AD is the electrical detection coefficient, AW is the sensor stability coefficient, γ1, γ2, γ3, γ4 are weight coefficients;
[0085] It should be specifically noted that the weight coefficients γ1, γ2, γ3, and γ4 are calculated by the entropy method. The specific calculation steps of the entropy method are as follows:
[0086] Data standardization: Since the measurement units of various indicators may be different, in order to eliminate the impact of the dimension, the collected data needs to be standardized. In a preferred embodiment of the present invention, the standardization method adopts Z-score standardization and / or range method standardization;
[0087] Calculate the proportion of indicators: calculate the proportion Pzj of the zth sample value under the jth indicator to the sum of all sample values of the indicator;
[0088] Calculate information entropy: According to the definition and calculation formula of information entropy, calculate the information entropy ej of the jth indicator. The smaller the information entropy, the greater the degree of variation of the indicator and the greater the amount of information provided;
[0089] Calculate information entropy redundancy: Information entropy redundancy dj is the complement of information entropy, that is, dj = 1-ej. The greater the information entropy redundancy, the more information the indicator contains, and the greater the impact on the comprehensive evaluation;
[0090] Calculate weight: Calculate the weight of each indicator in the comprehensive evaluation according to its information entropy redundancy. The weight coefficient is the ratio of the information entropy redundancy of each indicator to the sum of the information entropy redundancy of all indicators.
[0091] Step 5, based on the comprehensive evaluation coefficient calculated in step 4, screening the GIS insulation quality comprehensive evaluation coefficient that is less than a preset value, and matching the corresponding second discharge information key text;
[0092] Comprehensively judge GIS partial discharge, filter out the corresponding second discharge information key text whose GIS insulation quality comprehensive evaluation coefficient is less than the preset value, and output the filtered second discharge information key text result to the sensor information interaction module;
[0093] What needs to be specifically explained in this embodiment is that the preset value is a warning value obtained based on practice to evaluate the insulation level of GIS from four dimensions: electrical, optical, acoustic, and sensor signal transmission stability. When the text output value is lower than the preset value, it means that the internal insulation of the GIS equipment is poor and there is a high possibility of insulation failure, and the GIS equipment needs to be repaired or replaced.
[0094] Step 6, based on the second discharge information key text screened out in step 5, determine the GIS equipment with unqualified insulation quality;
[0095] Based on the second discharge information key text filtered out in step 5, the screening result is imported into the user information terminal through the sensor information interaction module. Since the second discharge information key text includes GIS equipment number information, the GIS equipment with unqualified insulation quality can be determined by the GIS equipment number.
[0096] What needs to be specifically explained in this embodiment is that the user information terminal is used to upload the text output value whose comparison result is lower than the preset value to the user information terminal, so as to help the user screen out GIS equipment with unqualified insulation quality.
[0097] What needs to be specifically explained in this embodiment is that the user information terminal is an information output device that receives the text output value screened by the GIS partial discharge comprehensive judgment step. In a preferred but non-limiting embodiment of the present invention, the user information terminal includes a smart phone, a tablet and / or a computer and other devices that can realize remote communication.
[0098] like Figure 2 As shown, the embodiment of the present invention also provides a GIS partial discharge acoustic-optical multi-parameter composite sensor, including: a system central processing module, a system operation database, a user information terminal, a GIS partial discharge information acquisition module, a GIS partial discharge information text mining module, a data standardization processing module, a GIS partial discharge comprehensive analysis module, a GIS partial discharge comprehensive judgment module and a sensor information interaction module;
[0099] The system central processing module is used to control the information text instructions output by each module;
[0100] The system operation database is used to collect the GIS partial discharge acoustic, optical and electrical multi-parameter information text output by each module in real time;
[0101] The user information terminal is used to receive the information output of the GIS partial discharge acoustic, optical and electrical multi-parameter composite sensor;
[0102] The GIS partial discharge information acquisition module is used to filter the GIS partial discharge feature text data according to different GIS devices to obtain the GIS partial discharge feature text data. The filtering times are recorded as 1, 2, 3…i…n in sequence, and the GIS partial discharge feature text data is output to the GIS partial discharge information text mining module.
[0103] The GIS partial discharge information text mining module is used to select the first discharge information key text from the GIS partial discharge feature text data to obtain the first discharge information key text;
[0104] The data standardization processing module is used for standardizing the first discharge information key text data into the second discharge information key text;
[0105] The GIS partial discharge comprehensive analysis module is used to process and analyze the key text of the second discharge information and calculate the comprehensive evaluation coefficient of GIS insulation quality;
[0106] The GIS partial discharge comprehensive judgment module is used to screen the GIS insulation quality comprehensive evaluation coefficient that is less than a preset value, and output the corresponding second discharge information key text;
[0107] The sensor information interaction module is used to import the screening results of the GIS partial discharge comprehensive judgment module to the user information terminal.
[0108] The system central processing module is electrically connected to the GIS local discharge information acquisition module, the GIS local discharge information text mining module, the data standardization processing module, the GIS local discharge comprehensive analysis module, the GIS local discharge comprehensive judgment module, the sensor information interaction module and the system operation database respectively; the output end of the GIS local discharge information acquisition module is telecommunication connected to the input end of the GIS local discharge information text mining module, the output end of the GIS local discharge information text mining module is telecommunication connected to the input end of the data standardization processing module, the output end of the data standardization processing module is telecommunication connected to the input end of the GIS local discharge comprehensive analysis module, the output end of the GIS local discharge comprehensive analysis module is telecommunication connected to the input end of the GIS local discharge comprehensive judgment module, the output end of the GIS local discharge comprehensive judgment module is telecommunication connected to the input end of the sensor information interaction module, and the output end of the sensor information interaction module is telecommunication connected to the user information end.
[0109] like Figure 3 As shown, the GIS local discharge information text mining module includes: an electrical information acquisition unit, an acoustic information acquisition unit, an optical information acquisition unit and a sensor stability information acquisition unit; the GIS local discharge information text mining module is used to select the first discharge information key text from the GIS local discharge feature text data to obtain the first discharge information key text, and output the first discharge information key text to the data standardization processing module; the electrical information acquisition unit is used to acquire the first discharge information key text within the electrical information range; the acoustic information acquisition unit is used to acquire the first discharge information key text within the acoustic information range; the optical information acquisition unit is used to acquire the first discharge information key text within the optical information range; and the sensor stability information acquisition unit is used to acquire the first discharge information key text within the sensor stability information range.
[0110] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.
[0111] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.
[0112] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.
[0113] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.
[0114] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;
[0115] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A GIS partial discharge acoustic, optical and electrical multi-parameter composite detection method, characterized in that: include: Step 1, numbering the GIS devices in sequence, and filtering the partial discharge characteristic text data of different GIS devices according to the numbers; Step 2, based on the data filtered in step 1, collect electrical information, acoustic information, optical information and sensor stability information to obtain the first discharge information key text; Step 3, based on the first discharge key information text obtained in step 2, perform standardization processing and analysis to obtain a second discharge key information text; Step 4, based on the second discharge information key text obtained in step 3, respectively calculate the acoustic, optical, electrical and sensor stability coefficients, and on this basis calculate the GIS insulation quality comprehensive evaluation coefficient; Step 5, based on the comprehensive evaluation coefficient calculated in step 4, screening the GIS insulation quality comprehensive evaluation coefficient that is less than a preset value, and matching the corresponding second discharge information key text; Step 6: Based on the second discharge information key text screened out in step 5, determine the GIS equipment with unqualified insulation quality.
2. The GIS partial discharge acoustic, optical and electrical multi-parameter composite detection method according to claim 1 is characterized in that: In step 2, the key text of the first discharge information includes: sound pressure level parameters, ultrasonic signal intensity parameters, acoustic spectrum abnormal frequency number parameters, light pulse intensity parameters, light signal pulse width parameters, spectrum distribution abnormal number parameters, discharge amount parameters, electromagnetic wave frequency abnormal number parameters, electromagnetic wave attenuation rate parameters, discharge number parameters, signal-to-noise ratio parameters, bit error rate parameters, coherence time parameters and signal transmission time parameters.
3. The GIS partial discharge acoustic, optical and electrical multi-parameter composite detection method according to claim 2 is characterized in that: In step 2, the sound pressure level parameter of the first discharge information key text is the sound pressure level; the ultrasonic signal strength parameter is the ultrasonic signal strength; the acoustic spectrum abnormal frequency number parameter is the acoustic spectrum abnormal frequency number; the light pulse intensity parameter is the light pulse intensity; the light signal pulse width parameter is the light signal pulse width; the spectrum distribution abnormal number parameter is the spectrum distribution abnormal number; the discharge amount parameter is the discharge amount; the electromagnetic wave frequency abnormal number parameter is the electromagnetic wave frequency abnormal number; the electromagnetic wave attenuation rate parameter is the electromagnetic wave attenuation rate; the discharge number parameter is the discharge number; the signal-to-noise ratio parameter is the signal-to-noise ratio; the bit error rate parameter is the bit error rate; the coherence time parameter is the coherence time; and the signal transmission time parameter is the signal transmission time.
4. The GIS partial discharge acoustic-optical multi-parameter composite detection method according to claim 1 is characterized in that: In step 3, the standardization process is a Z-score standardization process, which is used to convert the original data of the first discharge information key text into a standardized Z-Score second discharge information key text.
5. The GIS partial discharge acoustic-optical multi-parameter composite detection method according to claim 1 is characterized in that: In step 4, the calculation formulas for the acoustic, optical, electrical and sensor stability coefficients are as follows: Where AS is the acoustic detection coefficient, f i is the ultrasonic signal intensity, m i is the sound pressure level, k i is the number of abnormal frequencies in the sound wave spectrum, and e is a constant e; Where AG is the optical detection coefficient, q i is the light pulse intensity, s i is the optical signal pulse width, z i is the number of abnormal spectral distribution; Among them, AD is the electrical detection coefficient, h i is the discharge capacity, g i is the number of abnormal electromagnetic wave frequency, p i is the electromagnetic wave attenuation rate, b i is the number of discharges; Where AW is the sensor stability coefficient, v i is the signal-to-noise ratio, c i is the bit error rate, t i is the coherence time, T i is the signal transmission time.
6. The GIS partial discharge acoustic-optical multi-parameter composite detection method according to claim 5 is characterized in that: In step 4, the calculation formula for the comprehensive evaluation coefficient of GIS insulation quality is as follows: ω=γ1AS+γ2AG+γ3AD+γ4AW Among them, ω is the comprehensive evaluation coefficient of GIS insulation quality, and γ1, γ2, γ3, and γ4 are weight coefficients.
7. A GIS partial discharge acoustic-optical multi-parameter composite sensor, used to implement the GIS partial discharge acoustic-optical multi-parameter composite detection method according to any one of claims 1 to 7, characterized in that: include: System central processing module, system operation database, user information terminal, GIS partial discharge information acquisition module, GIS partial discharge information text mining module, data standardization processing module, GIS partial discharge comprehensive analysis module, GIS partial discharge comprehensive judgment module and sensor information interaction module; The system central processing module is used to control the information text instructions output by each module; The system operation database is used to collect the GIS partial discharge acoustic, optical and electrical multi-parameter information text output by each module in real time; The user information terminal is used to receive the information output of the GIS partial discharge acoustic-optical multi-parameter composite sensor; The GIS partial discharge information acquisition module is used to filter the GIS partial discharge feature text data according to different GIS devices to obtain the GIS partial discharge feature text data. The filtering times are recorded as 1, 2, 3…i…n in sequence, and the GIS partial discharge feature text data is output to the GIS partial discharge information text mining module. The GIS partial discharge information text mining module is used to select the first discharge information key text from the GIS partial discharge feature text data to obtain the first discharge information key text; The data standardization processing module is used for standardizing the first discharge information key text data into the second discharge information key text; The GIS partial discharge comprehensive analysis module is used to process and analyze the key text of the second discharge information and calculate the comprehensive evaluation coefficient of GIS insulation quality; The GIS partial discharge comprehensive judgment module is used to screen the GIS insulation quality comprehensive evaluation coefficient that is less than a preset value, and output the corresponding second discharge information key text; The sensor information interaction module is used to import the screening results of the GIS partial discharge comprehensive judgment module to the user information terminal.
8. The GIS partial discharge acoustic-optical multi-parameter composite sensor according to claim 7 is characterized in that: The system central processing module is electrically connected to the GIS local discharge information acquisition module, the GIS local discharge information text mining module, the data standardization processing module, the GIS local discharge comprehensive analysis module, the GIS local discharge comprehensive judgment module, the sensor information interaction module and the system operation database respectively; the output end of the GIS local discharge information acquisition module is telecommunication connected to the input end of the GIS local discharge information text mining module, the output end of the GIS local discharge information text mining module is telecommunication connected to the input end of the data standardization processing module, the output end of the data standardization processing module is telecommunication connected to the input end of the GIS local discharge comprehensive analysis module, the output end of the GIS local discharge comprehensive analysis module is telecommunication connected to the input end of the GIS local discharge comprehensive judgment module, the output end of the GIS local discharge comprehensive judgment module is telecommunication connected to the input end of the sensor information interaction module, and the output end of the sensor information interaction module is telecommunication connected to the user information end.
9. The GIS partial discharge acoustic-optical multi-parameter composite sensor according to claim 7 is characterized in that: The GIS partial discharge information text mining module includes: electrical information acquisition unit, acoustic information acquisition unit, optical information acquisition unit and sensor stability information acquisition unit; The electrical information acquisition unit is used to acquire the first discharge information key text within the electrical information range; The acoustic information collection unit is used to collect the first discharge information key text within the acoustic information range; The optical information acquisition unit is used to acquire the key text of the first discharge information in the optical information range; The sensor stability information acquisition unit is used to acquire a first discharge information key text within the sensor stability information range.
10. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-6.
Citation Information
Patent Citations
Partial discharge ultrahigh frequency, ultrasonic wave and light pulse combined detection system and method for GIS
CN109541413A
Prediction method for mountain landslide based on multi-sensor information fusion
CN110264671A
GIS partial discharge positioning algorithm based on multi-parameter joint detection
CN116699304A
Method, device and equipment for analyzing noise based on multi-sensor data fusion
CN117421563A
Multi-sensor data fusion method and device and storage medium
CN118312926A
Cited By
Partial discharge prediction method and device for cable fireproof blanket, medium and equipment
CN120446686A