Anti-interference capability optimization method and device, equipment and storage medium

Abstract

The application discloses an anti-interference capability optimization method and device, equipment and a storage medium, and relates to the technical field of vehicle testing. The anti-interference capability optimization method comprises the following steps: calculating a target coverage of a high-voltage partial discharge signal according to a target node function model corresponding to a high-voltage partial discharge simulation generating circuit; determining a high-voltage partial discharge interference influence degree judgment condition according to the target coverage of the high-voltage partial discharge signal; determining a high-voltage partial discharge analysis result according to the high-voltage partial discharge interference influence degree judgment condition; and generating a corresponding anti-interference capability optimization strategy according to the high-voltage partial discharge analysis result. In the manner, the high-voltage partial discharge control capability is improved, the problem of poor anti-interference capability of a high-voltage partial discharge simulation generating circuit in an automobile high-voltage wire harness tester in the prior art is solved, and the safety, accuracy and timeliness of automobile high-voltage wire harness testing are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle testing, and in particular to an anti-interference capability optimization method and device, equipment and a storage medium. BACKGROUND

[0002] New energy vehicles (including electric vehicles, hybrid vehicles, etc.) have two systems, high-voltage systems and low-voltage systems. All direct or indirect connections to the high-voltage circuit, including wiring harnesses (cables and plug-in connectors, connectors, etc.) and devices (loads, generators, energy storage systems), are referred to as high-voltage systems.

[0003] This is why new energy vehicles have two types of wiring harnesses, high-voltage wiring harnesses and low-voltage wiring harnesses. According to the wiring harness-related product standards, high-voltage wiring harnesses must meet certain functional requirements when they leave the factory:

[0004] ① Voltage requirements: According to the voltage level of electric vehicles, the rated voltage of the entire vehicle is B level: DC 1000V, AC 660V; the rated voltage of the high-voltage wiring harness must be slightly higher than the rated voltage of the entire vehicle, and the rated voltage of the high-voltage wiring harness is specified as: AC 750V.

[0005] ② Voltage resistance: According to GB / T 18488.1, the dielectric strength between circuits that are not electrically connected to each other should be able to withstand a test voltage of (2U+1000), i.e. in the case where the wiring harness is disconnected from the components, the wiring harness withstands voltage to the vehicle body: AC 2500V / 50HZ / 1min, leakage current does not exceed 10mA, and no flashover breakdown occurs.

[0006] In order to meet the functional requirements, high-voltage wiring harnesses need to be subjected to some type tests when they leave the factory, including voltage tests, breakdown voltage tests, insulation resistance tests, and acid and alkali resistance tests:

[0007] ① Voltage test: The test sample is immersed in water, with 150mm of the end exposed, the water temperature is maintained at (20±5)℃ / 24h, and a 3.5KV / 50HZ sinusoidal alternating current is applied between the water and the conductive core.

[0008] ② Breakdown voltage test: The test sample is immersed in water at (20±5)℃ / 1h), a voltage of 3.5KV is applied between the water and the conductive core, and the voltage is increased at a rate of 100 until it breaks down and discharges, which should not be lower than 6KV.

[0009] 3. Insulation resistance test: According to SAE J1742, the insulation resistance test voltage is DC 1000V, and the insulation resistance between the wire harness and the connected components should be greater than 100mΩ in any case. 4. Acid and alkali resistance test: After the sample is immersed in acid and alkali solution, the solution temperature is kept at (23±2)℃ / 168h, and a breakdown test is performed for 1min under power frequency alternating current (50HZ / 3.5KV).

[0010] Automobile high pressure test test involves high pressure, and requires good safety, accuracy and timeliness during testing. During the test, the test device is not allowed to have abnormal leakage, and there is no residual voltage in the device and the product to be tested after the test. Therefore, the personal safety of the tester is protected.

[0011] In order to carry out the above high-voltage wire harness test, wire harness R&D personnel have developed various high-voltage multifunctional measuring instruments for wire harness high-voltage test. Therefore, in the operation of the new energy automobile high-voltage wire harness tester, how to improve the control ability of the new energy automobile high-voltage wire harness tester to leakage, partial discharge and interference is a technical problem to be solved. SUMMARY

[0012] The main purpose of the present application is to provide an anti-interference capability optimization method, device, equipment and storage medium, which aims to solve the technical problem of poor anti-interference capability of the high-voltage electric partial discharge simulation generation circuit in the automobile high-voltage wire harness tester.

[0013] To achieve the above purpose, the anti-interference capability optimization method is provided, which comprises:

[0014] According to the target node function model corresponding to the high-voltage electric partial discharge simulation generation circuit, the target coverage of the high-voltage electric partial discharge signal is calculated;

[0015] According to the target coverage of the high-voltage electric partial discharge signal, the high-voltage electric partial discharge interference degree judgment condition is determined;

[0016] According to the high-voltage electric partial discharge interference degree judgment condition, the high-voltage electric partial discharge analysis result is determined;

[0017] According to the high-voltage electric partial discharge analysis result, the corresponding anti-interference capability optimization strategy is generated.

[0018] In an embodiment, before calculating the target coverage of the high-voltage electric partial discharge signal according to the target node function model corresponding to the high-voltage electric partial discharge simulation generation circuit, the method further comprises:

[0019] According to the input data variable of the high-voltage electric partial discharge simulation generating circuit, a point data function, partial discharge parameter information, an operation signal, node information, a high-voltage discharge type and a high-voltage discharge number are determined.

[0020] According to the point data function, the partial discharge parameter information, the operation signal, the node information, the high-voltage discharge type and the high-voltage discharge number, a target node function model corresponding to the high-voltage electric partial discharge simulation generating circuit is established.

[0021] In an embodiment, the target coverage of the high-voltage electric partial discharge signal is calculated according to the target node function model corresponding to the high-voltage electric partial discharge simulation generating circuit, comprising:

[0022] According to the target node function model corresponding to the high-voltage electric partial discharge simulation generating circuit, a signal fluctuation coverage, a total amount of sensing network information, an initialization data variable, an abnormal signal variable and a supply matrix are determined.

[0023] According to the signal fluctuation coverage, the total amount of sensing network information, the initialization data variable, the abnormal signal variable and the supply matrix, the target coverage of the high-voltage electric partial discharge signal is calculated.

[0024] In an embodiment, the anti-interference ability optimization strategy is generated according to the high-voltage electric partial discharge analysis result, comprising:

[0025] According to the high-voltage electric partial discharge analysis result, a feature matrix of the sensing network is determined.

[0026] According to the feature matrix of the sensing network, interference data is collected to obtain target interference data.

[0027] According to the target interference data, the corresponding anti-interference ability optimization strategy is generated.

[0028] In an embodiment, the feature matrix of the sensing network is determined according to the high-voltage electric partial discharge analysis result, comprising:

[0029] When the high-voltage electric partial discharge analysis result is an abnormal signal algebra matrix and the first preset value, a feature matrix is calculated according to a preset multiplier method to obtain a feature matrix calculation result.

[0030] According to the feature matrix calculation result, the feature matrix of the sensing network is determined.

[0031] In an embodiment, according to the feature matrix of the sensing network, interference data is collected to obtain target interference data, comprising:

[0032] According to the feature matrix of the sensing network, interference data is collected to determine collected interference data.

[0033] obtaining a corresponding calculation verification value according to a preset hash function and the collected interference data;

[0034] when the calculation verification value is consistent with the initial verification value in the collected interference data, determining that the collected interference data is target interference data.

[0035] In an embodiment, the generating of the corresponding anti-interference capability optimization strategy according to the high-voltage electric partial discharge analysis result comprises:

[0036] when the high-voltage electric partial discharge analysis result is a normal signal algebra matrix and is the second preset value, determining a high-voltage electric partial discharge state;

[0037] generating a corresponding anti-interference capability optimization strategy according to the high-voltage electric partial discharge state.

[0038] In addition, to achieve the above-mentioned purpose, the present application further proposes an anti-interference capability optimization device, which comprises:

[0039] a processing module configured to calculate a target coverage of the high-voltage electric partial discharge signal according to a target node function model of a high-voltage electric partial discharge analog generation circuit;

[0040] The processing module is further configured to determine a high-voltage electric partial discharge interference influence degree judgment condition according to the target coverage of the high-voltage electric partial discharge signal.

[0041] The processing module is further configured to determine a high-voltage electric partial discharge analysis result according to the high-voltage electric partial discharge interference influence degree judgment condition.

[0042] an optimization module configured to generate a corresponding anti-interference capability optimization strategy according to the high-voltage electric partial discharge analysis result.

[0043] In addition, to achieve the above-mentioned purpose, the present application further proposes an anti-interference capability optimization device, which comprises:

[0044] In addition, to achieve the above-mentioned purpose, the present application further proposes a storage medium, which is a computer readable storage medium, and a computer program is stored on the storage medium, and the computer program is executed by a processor to implement the steps of the anti-interference capability optimization method as described above.

[0045] In addition, to achieve the above object, the application further provides a computer program product, which comprises a computer program, and the computer program realizes the steps of the anti-interference capability optimization method when executed by a processor.

[0046] The application calculates the target coverage of the high-voltage partial discharge signal according to the target node function model corresponding to the high-voltage partial discharge simulation generation circuit; determines the high-voltage partial discharge interference influence degree judgment condition according to the target coverage of the high-voltage partial discharge signal; determines the high-voltage partial discharge analysis result according to the high-voltage partial discharge interference influence degree judgment condition; and generates the corresponding anti-interference capability optimization strategy according to the high-voltage partial discharge analysis result. In this way, the high-voltage partial discharge control capability is improved, the problem of poor anti-interference capability of the high-voltage partial discharge simulation generation circuit in the internal high-voltage partial discharge of the automobile high-voltage wire harness tester is solved, and the safety, accuracy and timeliness of the automobile high-voltage wire harness test are improved. BRIEF DESCRIPTION OF DRAWINGS

[0047] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present application and, together with the specification, serve to explain the principles of the application.

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0049] Figure 1 The flowchart provided for the anti-interference capability optimization method embodiment one of the application;

[0050] Figure 2 The high-voltage partial discharge simulation generation controller structure schematic diagram provided for the anti-interference capability optimization method embodiment one of the application;

[0051] Figure 3 The power supply circuit principle schematic diagram provided for the anti-interference capability optimization method embodiment one of the application;

[0052] Figure 4 The data acquisition circuit schematic diagram provided for the anti-interference capability optimization method embodiment one of the application;

[0053] Figure 5 The flowchart provided for the anti-interference capability optimization method embodiment two of the application;

[0054] Figure 6 The module structure schematic diagram of the anti-interference capability optimization device of the application embodiment;

[0055] Figure 7 The device structure diagram of the hardware running environment involved in the anti-interference capability optimization method in the embodiments of the present application.

[0056] The object implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0057] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application, and are not used to limit the present application.

[0058] In order to better understand the technical solutions of the present application, the specific embodiments will be described in detail below with reference to the drawings and the specific embodiments.

[0059] The main solution of the embodiments of the present application is: calculating the target coverage of the high-voltage electric partial discharge signal according to the target node function model corresponding to the high-voltage electric partial discharge analog generation circuit; determining the high-voltage electric partial discharge interference influence degree judgment condition according to the target coverage of the high-voltage electric partial discharge signal; determining the high-voltage electric partial discharge analysis result according to the high-voltage electric partial discharge interference influence degree judgment condition; and generating the corresponding anti-interference capability optimization strategy according to the high-voltage electric partial discharge analysis result.

[0060] New energy vehicles (including electric vehicles, hybrid vehicles, etc.) have two systems, high-voltage system and low-voltage system, all directly or indirectly connected to the high-voltage circuit, including wiring harness (cables and plug-in connectors, connectors, etc.) and devices (loads, generators, energy storage systems), which are all called high-voltage systems.

[0061] This is why new energy vehicles have two types of wiring harnesses, high-voltage wiring harness and low-voltage wiring harness. According to the wiring harness related product standards, the high-voltage wiring harness needs to meet certain functional requirements when it leaves the factory:

[0062] ① Voltage requirement: According to the voltage level of electric vehicles, the voltage level is B level, and the rated voltage of the whole vehicle is: DC1000V, AC660V; The rated voltage of the high-voltage wiring harness must be slightly higher than the rated voltage of the whole vehicle, and the rated voltage of the high-voltage wiring harness is specified as: AC750V.

[0063] ② Voltage resistance: According to GB / T 18488.1, the dielectric strength between circuits without electrical connection should be able to withstand (2U+1000) test voltage, that is, in the case of disconnection between the wiring harness and the components, the wiring harness withstands the voltage of the vehicle body: AC2500V / 50HZ / 1min, the leakage current is not more than 10mA, and no flashover breakdown phenomenon occurs.

[0064] In order to meet the functional requirements, the high-voltage wire harness needs to be tested before leaving the factory. These type tests include voltage test, breakdown voltage test, insulation resistance test, acid and alkali resistance test:

[0065] ① Voltage test: immerse the sample in water, expose 150mm at the end, keep the water temperature at (20±5) ℃ / 24h, and apply 3.5KV / 50HZ sinusoidal alternating current between the water and the conductive core.

[0066] ② Breakdown voltage test: immerse the sample in (20±5) ℃ / 1h) water, apply a voltage of 3.5KV between the water and the conductive core, and increase the voltage at a rate of 100 until it breaks down, which should not be lower than 6KV.

[0067] ③ Insulation resistance test: according to SAE J1742, the insulation resistance test voltage is DC 1000V, and the insulation resistance of the wire harness to the vehicle body should be greater than 100mΩ in any case when the wire harness is disconnected from the connected components. ④ Acid and alkali resistance test: after immersing the sample in acid and alkali solution, keep the solution temperature at (23±2) ℃ / 168h, and pass 50HZ / 3.5KV power frequency alternating current for 1min for breakdown test.

[0068] Automobile high-voltage test requires good safety, accuracy and timeliness during testing due to the high voltage involved. During testing, the test device is not allowed to have abnormal leakage, and there should be no residual voltage on the device and the product being tested after testing. To protect the safety of the test personnel.

[0069] In order to perform the above high-voltage wire harness test, wire harness R&D personnel have developed various high-voltage multifunctional measuring instruments for wire harness high-voltage test. Therefore, how to improve the control ability of the new energy automobile high-voltage wire harness tester to leakage, partial discharge and interference is a technical problem to be solved in the operation of the new energy automobile high-voltage wire harness tester.

[0070] The application calculates the target coverage of the high-voltage partial discharge signal according to the target node function model corresponding to the high-voltage partial discharge simulation generation circuit; determines the high-voltage partial discharge interference influence degree judgment condition according to the target coverage of the high-voltage partial discharge signal; determines the high-voltage partial discharge analysis result according to the high-voltage partial discharge interference influence degree judgment condition; and generates the corresponding anti-interference ability optimization strategy according to the high-voltage partial discharge analysis result. In this way, the control ability of the high-voltage partial discharge is improved, the problem of poor anti-interference ability of the high-voltage partial discharge simulation generation circuit in the automobile high-voltage wire harness tester in the prior art is solved, and the safety, accuracy and timeliness of the automobile high-voltage wire harness test are improved.

[0071] It should be noted that the execution subject of the embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an anti-interference capability optimization device capable of realizing the above functions. The anti-interference capability optimization device is taken as an example to illustrate the embodiment and the following embodiments.

[0072] Based on this, the anti-interference capability optimization method provided in the embodiments of the present application is provided with reference to Figure 1 , Figure 1 The flowchart of the first embodiment of the anti-interference capability optimization method of the present application is shown in the figure.

[0073] In the embodiment, the anti-interference capability optimization method includes steps S10-S40:

[0074] Step S10, according to the target node function model corresponding to the high-voltage partial discharge simulation generation circuit, the target coverage of the high-voltage partial discharge signal is calculated;

[0075] It should be noted that, as shown in Figure 2 The high-voltage partial discharge simulation generation controller of the automobile high-voltage wire harness tester in the embodiment includes: a power supply for providing voltage or current for the normal operation of the high-voltage partial discharge simulation generation controller of the automobile high-voltage wire harness tester;

[0076] S3C2440 processor for controlling the high-voltage partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester to be in a working state or an abnormal state;

[0077] HART data processing module for converting the analog signal (signal after processing by the data acquisition module) received from the high-voltage partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester into digital information for use by the S3C2440 processor; at the same time, the received S3C2440 processor control signal is converted by D / A, and the converted signal is sent to the high-voltage partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester and controlled.

[0078] Data acquisition module for collecting high-voltage partial discharge data information;

[0079] Data information evaluation module for evaluating high-voltage partial discharge data information; wherein the data information evaluation module evaluates the received data information through a node model function; the S3C2440 processor is connected with the power supply, the HART data processing module, the data acquisition module and the data information evaluation module.

[0080] The traditional control method is updated in the control of high-voltage partial discharge of high-voltage electric partial discharge simulation generating circuit inside the automobile high-voltage wire harness tester. In the hardware aspect, the high-voltage partial discharge data is converted into digital signals through a HART data processing communication module, and an S3C2440 processor is connected with the data processing communication module in series to realize the receiving, storage and processing of high-voltage partial discharge data.

[0081] The HART data processing module contains an oscillator, a control logic block, a detection carrier module, an adjustment and transmission waveform shaping module, a receiving filter and demodulation module.

[0082] The HART data processing module adopts HT2015 and uses 5V voltage, and the external clock frequency is 460.8 kHz. In the half-duplex state, the digital logic signal and the digital square wave frequency signal need to be modulated and demodulated, and then the low effective carrier detection signal containing 19.2 kHz is outputted, which is without external adjustment and bias.

[0083] The ORXD and ITXD pins in the HT2015 chip are connected with the receiving end RXD and the sending end ITXD of the asynchronous serial communication of the embedded processor respectively. When the processor receives the command sent by the host computer, the processor transmits the received command to the HT2015 chip through the serial port, the HT2015 chip modulates and shapes the waveform of the accepted command, performs D / A conversion, and sends it to the high-voltage electric partial discharge simulation generating circuit inside the automobile high-voltage wire harness tester, and controls it. At the same time, the filter of the HT2015 processes the HART signal of the receiving current loop (digital signal from the data acquisition module), filters the signal, and demodulates it into a digital signal. After the processor receives the valid HART communication frame, the communication frame command is parsed, and real-time display is realized on the browser through the host computer.

[0084] The HART data processing module can be an embedded processor module. In specific embodiments, the controller contains an S3C2440 microprocessor, a network communication module, storage, a serial communication, a power supply, a clock, a charging circuit, a charging circuit management chip, and other peripheral circuits. The DM9000 network card chip is used in the network part of the controller system, which has a self-adaptive 10 / 100M PHY and a 4K DWORD value SRAM, supports 3.3V and 5V performance processes in the case of low power consumption, and also provides an RJ-45 interface, which can be connected to a router or switch using a common network cable. Considering that the working voltage and starting current of different chips are different, the BQ21040 lithium battery charging management chip is selected as the charging circuit management chip, combined with resistors and capacitors to form a lithium battery charging circuit, which provides continuous power supply for the lithium battery. Considering the stability of the system, the resistance R4 is set to 1.0kΩ, and the fast charging current is 800mA, which is the maximum fast charging current of the system.

[0085] It can be understood that the target node function model refers to a mathematical expression used to describe the behavior of each basic component unit (i.e., node) in the system, and the target coverage refers to the maximum coverage of the high-voltage partial discharge signal.

[0086] In specific implementations, the maximum coverage of the high-voltage partial discharge signal is calculated according to the node model function as follows:

[0087]

[0088] wherein: represents the fluctuation coverage of the high-voltage partial discharge signal, represents the total amount of information obtained by the sensor network, represents the initialization data variable, represents the abnormal signal variable, represents the supply matrix within the coverage range of the high-voltage partial discharge signal.

[0089] In a feasible implementation, step S10 can include steps A11-A12 before it:

[0090] Step A11, according to the input data variable of the high-voltage partial discharge simulation generating circuit, determine the point data function, the partial discharge parameter information, the running signal, the node information, the high-voltage discharge type and the high-voltage discharge quantity;

[0091] It can be understood that the input data variable refers to the current, voltage and leakage current values obtained according to the high-low voltage AC / DC test loop of the tester, the point data function refers to the high voltage partial discharge signal input in each point data function, the partial discharge parameter information refers to the specific parameter information of the high voltage partial discharge, and the running signal refers to the running signal detected by the high voltage partial discharge.

[0092] In a specific implementation, the establishment of the overall algorithm model is based on the input of the high-voltage partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester. By inputting data variables, the distribution law of fault signals in each signal area is studied, and the algorithm model characteristics of the high-voltage partial discharge simulation generation controller of the automobile high-voltage wire harness tester are obtained.

[0093] Step A12, according to the point data function, the partial discharge parameter information, the running signal, the node information, the high-voltage discharge type and the high-voltage discharge quantity, a target node function model corresponding to the high-voltage partial discharge simulation generation circuit is established.

[0094] It can be understood that by inputting data variables, the distribution law of fault signals in each signal area is studied, and the algorithm model characteristics of the high-voltage partial discharge simulation generation controller of the automobile high-voltage wire harness tester are as follows, and the node model function is:

[0095]

[0096] Among them, indicates that the high-voltage partial discharge signal is input in each point data function, indicates the specific parameter information of the high-voltage partial discharge, indicates the running signal detected by the high-voltage partial discharge; X indicates the node information, i and j indicate the type of high-voltage discharge, and n indicates the number of high-voltage discharges.

[0097] In a feasible implementation, step S10 can include steps B11-B12:

[0098] Step B11, according to the target node function model corresponding to the high-voltage partial discharge simulation generation circuit, determine the signal fluctuation coverage, the total amount of sensing network information, the initialization data variable, the abnormal signal variable and the supply matrix;

[0099] It can be understood that the signal fluctuation coverage refers to the high-voltage partial discharge signal fluctuation coverage, the total amount of sensing network information refers to the total amount of information obtained by the sensing network, and the supply matrix refers to the supply matrix in the coverage range of the high-voltage partial discharge signal.

[0100] Step B12, according to the signal fluctuation coverage, the total amount of sensing network information, the initialization data variable, the abnormal signal variable and the supply matrix, the target coverage of the high-voltage electric partial discharge signal is calculated.

[0101] In a specific implementation, according to the node model function, the maximum coverage of the high-voltage electric partial discharge signal is calculated as:

[0102]

[0103] Wherein: represents the fluctuation coverage of the high-voltage electric partial discharge signal, represents the total amount of information obtained by the sensing network, represents the initialization data variable, represents the abnormal signal variable, represents the supply matrix in the coverage of the high-voltage electric partial discharge signal.

[0104] Step S20, according to the target coverage of the high-voltage electric partial discharge signal, the high-voltage electric partial discharge interference degree judgment condition is determined;

[0105] It can be understood that the high-voltage electric partial discharge interference degree judgment condition is used to judge the degree of interference of the high-voltage electric partial discharge.

[0106] In a specific implementation, according to the data function in the maximum coverage collected, the high-voltage electric partial discharge interference degree judgment condition is obtained by predicting the probability of abnormal signal in this range as:

[0107]

[0108] Wherein, represents the high-voltage electric partial discharge anti-interference ability function matrix in normal state, represents the high-voltage electric partial discharge anti-interference ability function matrix in abnormal state.

[0109] Step S30, according to the high-voltage electric partial discharge interference degree judgment condition, the high-voltage electric partial discharge analysis result is determined;

[0110] It can be understood that the high-voltage electric partial discharge analysis result is used to judge the state of the high-voltage electric partial discharge.

[0111] In a specific implementation, if the normal information algebra matrix of the high-voltage electric partial discharge recognition is 1, the high-voltage electric partial discharge is in the best state at this time; if the abnormal signal algebra matrix is 0, the network is an affected distribution structure, and the RLPCCA characteristic matrix is calculated by the multiplier method.

[0112] Step S40, generating the corresponding anti-interference ability optimization strategy according to the high-voltage partial discharge analysis result.

[0113] It can be understood that according to the high-voltage partial discharge analysis result, it is determined that the high-voltage partial discharge is in the best state or in the affected state, and the corresponding anti-interference ability optimization strategy is generated again to improve the anti-interference ability of the high-voltage partial discharge simulation generation circuit.

[0114] In a feasible implementation, step S40 can include steps A41-A42 before step S40:

[0115] Step A41, when the high-voltage partial discharge analysis result is a normal signal algebra matrix and the second preset value, determining the high-voltage partial discharge state.

[0116] It can be understood that the second preset value refers to the pre-set value 1, and the high-voltage partial discharge state refers to the discharge state of the high-voltage partial discharge, including the best state or the affected state.

[0117] In a specific implementation, when the high-voltage partial discharge analysis result is a normal signal algebra matrix and the second preset value, it is indicated that if the normal information algebra matrix identified by the high-voltage partial discharge is 1, the high-voltage partial discharge is in the best state, that is, the high-voltage partial discharge state is determined to be the best state.

[0118] Step A42, generating the corresponding anti-interference ability optimization strategy according to the high-voltage partial discharge state.

[0119] In a specific implementation, when the high-voltage partial discharge state is the best state, it indicates that the anti-interference ability of the high-voltage partial discharge simulation generation circuit is strong at this time, and therefore, the high-voltage partial discharge simulation generation circuit at this time is determined to be the optimal anti-interference ability optimization strategy.

[0120] It should be noted that the principle of the power supply circuit is as shown in Figure 3 The schematic diagram of the data acquisition circuit is as shown in Figure 4As shown, the data acquisition module includes a data acquisition circuit, wherein the data acquisition circuit takes HX710 as an analog-digital conversion chip for power data acquisition, has a high-precision conversion mode of 24 bits, a low-noise amplifier gain of 128dB, and a C3 of 0.1μF filter capacitor, thereby enhancing the anti-interference ability of the system. The VREF pin of HX710 is used for sensor module voltage power supply; the AGND pin is used for grounding circuit; the INN pin is used for output signal AIN-, the INP pin is used for output signal AIN+, the PDSCK pin is used for clock control signal of AD data transmission, the DOUT pin is used for data output, the Header is a data acquisition interface end, the high-voltage partial discharge data will be transmitted to the CC2530 main control chip for processing, the Header represents a pin connector, P1 is an external indicator light plate, CHG is a signal prompt for completion of chip charging, LEDV is a voltage feedback lamp of the main control chip, pin 3 provides a forward voltage for the LED diode indicator light, OUT is an output voltage value, and the polymer lithium battery is powered when the battery power is insufficient. A 1μF filter capacitor is added to reduce the AC pulse ripple coefficient and improve the anti-interference ability. The sensor is responsible for data acquisition and transmits data to the HART data processing module to start the work of the high-voltage partial discharge simulation generating circuit inside the automobile high-voltage wire harness tester, thereby realizing anti-interference control of the high-voltage partial discharge simulation generating circuit inside the automobile high-voltage wire harness tester.

[0121] The embodiment calculates the target coverage of the high-voltage partial discharge signal according to the target node function model corresponding to the high-voltage partial discharge simulation generating circuit; determines the high-voltage partial discharge interference degree judgment condition according to the target coverage of the high-voltage partial discharge signal; determines the high-voltage partial discharge analysis result according to the high-voltage partial discharge interference degree judgment condition; and generates the corresponding anti-interference ability optimization strategy according to the high-voltage partial discharge analysis result. In this way, the high-voltage partial discharge control ability is improved, the problem of poor anti-interference ability of the high-voltage partial discharge simulation generating circuit inside the automobile high-voltage wire harness tester in the prior art is solved, and the safety, accuracy and timeliness of the automobile high-voltage wire harness test are improved.

[0122] Based on the first embodiment of the present application, the same or similar contents as the above embodiment one can refer to the above introduction, and the subsequent will not be described in detail. On this basis, please refer to Figure 5 , the step S40 of the anti-interference ability optimization method further includes steps S41-S43:

[0123] Step S41, determining a feature matrix of the sensor network according to the high-voltage partial discharge analysis result;

[0124] It can be understood that if the normal information algebra matrix of high-voltage electric partial discharge recognition is 1, the high-voltage electric partial discharge is in the best state at this time; if the abnormal signal algebra matrix is 0, the network is an affected distribution structure, and the RLPCCA characteristic matrix (Robust Locality Preserving Canonical Correlation Analysis RLPCCA) is calculated by the multiplier method as follows:

[0125]

[0126] wherein, represents the proportion of the electronic instrument affected by external interference.

[0127] In a feasible implementation, the step S41 can include steps A411-A412.

[0128] Step A411, when the high-voltage electric partial discharge analysis result is that the abnormal signal algebra matrix is a first preset value, a characteristic matrix is calculated according to a preset multiplier method to obtain a characteristic matrix calculation result.

[0129] It can be understood that the first preset value refers to a preset value 0, and the characteristic matrix calculation result is used to determine whether the characteristic matrix of the sensing network is calculated.

[0130] In a specific implementation, if the abnormal signal algebra matrix is 0, the network is an affected distribution structure, and the RLPCCA characteristic matrix is calculated by the multiplier method as follows:

[0131] .

[0132] Step A412, the characteristic matrix of the sensing network is determined according to the characteristic matrix calculation result.

[0133] It can be understood that when the characteristic matrix calculation result is that the calculation of the characteristic matrix of the sensing network is completed, the characteristic matrix of the sensing network is obtained.

[0134] Step S42, interference data is collected according to the characteristic matrix of the sensing network to obtain target interference data.

[0135] It can be understood that the target interference data refers to useless information produced by a non-target signal source and mixed into useful signals in a signal collection, monitoring or communication process.

[0136] In the specific implementation, the feature matrix of the sensor network reflects the relationship between the power supply capability of the high-voltage electrical partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester and data information transmission and identification. The collection of interference data is realized, different pulse signal identifications are performed according to the types of interference data collection, a hash function is used to search the storage address of interference data, in the process of interference data collection, an information verification step is passed, and the accuracy of interference data information collection is improved. If the verification is wrong, the hash function is called again to re-search the storage address of interference data until the verification is passed and the collection of interference data is completed.

[0137] In a possible implementation, step S42 can include steps A421-A423:

[0138] Step A421, collecting interference data according to the feature matrix of the sensor network to determine the collection of interference data;

[0139] It can be understood that the collection of interference data refers to the interference data collected by the hash function.

[0140] In the specific implementation, the feature matrix of the sensor network reflects the relationship between the power supply capability of the high-voltage electrical partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester and data information transmission and identification, and then the hash function is used to search the interference data to obtain the collected interference data.

[0141] Step A422, obtaining a corresponding calculation verification value according to a preset hash function and the collected interference data;

[0142] It can be understood that the calculation verification value refers to the data verification value corresponding to the collected interference data.

[0143] In the specific implementation, the hash function is used to search the storage address of interference data, and in the process of interference data collection, an information verification step is passed. Specifically, the verification value of the collected interference data is recalculated to obtain the calculation verification value.

[0144] Step A423, when the calculation verification value is consistent with the initial verification value in the collected interference data, determining that the collected interference data is target interference data.

[0145] It can be understood that the data verification value corresponding to the collected interference data is compared with the initial verification value in the collected interference data to obtain a verification value comparison result. When the calculation verification value is consistent with the initial verification value in the collected interference data, it indicates that the information verification is successful, that is, the collected interference data is the target interference data.

[0146] Step S43, generating a corresponding anti-interference capability optimization strategy according to the target interference data.

[0147] It can be understood that the corresponding anti-interference ability optimization strategy is generated by the collected interference data, that is, the processor is used to process the interference data, and then the anti-interference control of the high-voltage electric partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester is completed.

[0148] It should be explained that the high-voltage electric partial discharge simulation generation controller of the automobile high-voltage wire harness tester in the embodiment includes: a power supply for providing voltage or current for normal work of the high-voltage electric partial discharge simulation generation controller of the automobile high-voltage wire harness tester; an S3C2440 processor for controlling the high-voltage electric partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester to be in a working state or an abnormal state; a HART data processing module for converting the analog signal sent by the high-voltage electric partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester into digital information; a data acquisition module for acquiring high-voltage electric partial discharge data information; a data information evaluation module for evaluating the high-voltage electric partial discharge data information; wherein the data information evaluation module evaluates the received data information through a node model function. The application can control the high-voltage electric partial discharge information in the high-voltage electric partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester, acquire the high-voltage electric partial discharge information, and acquire, convert and calculate the acquired high-voltage electric partial discharge, so as to improve the high-voltage electric partial discharge control ability.

[0149] In the embodiment, the feature matrix of the sensing network is determined according to the high-voltage electric partial discharge analysis result; the interference data is collected according to the feature matrix of the sensing network to obtain target interference data; and the corresponding anti-interference ability optimization strategy is generated according to the target interference data. The interference data is collected through the feature matrix of the sensing network, and finally the anti-interference ability optimization strategy is generated, which solves the problems of easy electric leakage, partial discharge, poor anti-interference ability of the internal high-voltage electric partial discharge simulation generation circuit in the high-voltage test of the automobile high-voltage wire harness tester in the prior art, and improves the safety, accuracy and timeliness of the automobile high-voltage wire harness test.

[0150] It should be explained that the above examples are only used for understanding the application and do not constitute a limitation on the anti-interference ability optimization method of the application. More forms of simple transformation based on this technical concept are within the protection scope of the application.

[0151] The application also provides an anti-interference ability optimization device, please refer to Figure 6 , the anti-interference ability optimization device comprises:

[0152] The processing module 10 is used for calculating the target coverage of the high-voltage electric partial discharge signal according to the target node function model corresponding to the high-voltage electric partial discharge simulation generation circuit.

[0153] The processing module 10 is further configured to determine a high-voltage partial discharge interference influence degree judgment condition according to a target coverage of the high-voltage partial discharge signal.

[0154] The processing module 10 is further configured to determine a high-voltage partial discharge analysis result according to the high-voltage partial discharge interference influence degree judgment condition.

[0155] The optimization module 20 is configured to generate a corresponding anti-interference capability optimization strategy according to the high-voltage partial discharge analysis result.

[0156] Optionally, the processing module 10 is further configured to:

[0157] determine a point data function, partial discharge parameter information, an in-service signal, node information, a high-voltage discharge type, and a high-voltage discharge quantity according to an input data variable of a high-voltage partial discharge simulation generation circuit;

[0158] establish a target node function model corresponding to the high-voltage partial discharge simulation generation circuit according to the point data function, the partial discharge parameter information, the in-service signal, the node information, the high-voltage discharge type, and the high-voltage discharge quantity.

[0159] Optionally, the processing module 10 is further configured to:

[0160] determine a signal fluctuation coverage, a sensing network information total amount, an initialization data variable, an abnormal signal variable, and a supply amount matrix according to the target node function model corresponding to the high-voltage partial discharge simulation generation circuit;

[0161] calculate the target coverage of the high-voltage partial discharge signal according to the signal fluctuation coverage, the sensing network information total amount, the initialization data variable, the abnormal signal variable, and the supply amount matrix.

[0162] Optionally, the optimization module 20 is further configured to:

[0163] determine a sensing network feature matrix according to the high-voltage partial discharge analysis result;

[0164] collect interference data according to the sensing network feature matrix to obtain target interference data;

[0165] generate a corresponding anti-interference capability optimization strategy according to the target interference data.

[0166] Optionally, the optimization module 20 is further configured to:

[0167] when the high-voltage partial discharge analysis result is an abnormal signal algebra matrix and the abnormal signal algebra matrix is a first preset value, calculate a feature matrix according to a preset multiplier method to obtain a feature matrix calculation result;

[0168] determining the feature matrix of the sensor network according to the feature matrix calculation result.

[0169] Optionally, the optimization module 20 is further configured to:

[0170] collecting interference data according to the feature matrix of the sensor network to determine collected interference data;

[0171] obtaining a corresponding calculation verification value according to a preset hash function and the collected interference data;

[0172] when the calculation verification value is consistent with an initial verification value in the collected interference data, determining that the collected interference data is target interference data.

[0173] Optionally, the optimization module 20 is further configured to:

[0174] when the high-voltage electric partial discharge analysis result is a normal signal algebra matrix and is a second preset value, determining a high-voltage electric partial discharge state;

[0175] generating a corresponding anti-interference capability optimization strategy according to the high-voltage electric partial discharge state.

[0176] The anti-interference capability optimization device provided in the application adopts the anti-interference capability optimization method in the above embodiments, and can solve the technical problem of poor anti-interference capability of the internal high-voltage electric partial discharge simulation generation circuit of the automobile high-voltage wire harness tester in the prior art. Compared with the prior art, the anti-interference capability optimization device provided in the application has the same beneficial effects as the anti-interference capability optimization method provided in the above embodiments, and other technical features in the anti-interference capability optimization device are the same as the features disclosed in the above embodiment method, and will not be repeated here.

[0177] The application provides an anti-interference capability optimization device, which comprises at least one processor and a memory in communication connection with the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the anti-interference capability optimization method in the above embodiment one.

[0178] Reference will be made to the following description of the embodiments of the application Figure 7The diagram illustrates a structural schematic suitable for implementing the anti-interference capability optimization device in the embodiments of this application. The anti-interference capability optimization device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 7 The anti-interference capability optimization device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0179] like Figure 7 As shown, the interference immunity optimization device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the interference immunity optimization device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the interference immunity optimization device to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows interference immunity optimization devices with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0180] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing program codes for executing the method shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network through a communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiments disclosed in the present application are executed.

[0181] The anti-interference capability optimization device provided by the present application adopts the anti-interference capability optimization method in the above-mentioned embodiments, and can solve the technical problem of poor anti-interference capability of the internal high-voltage electric partial discharge simulation generation circuit of the automobile high-voltage wiring harness tester in the prior art. Compared with the prior art, the anti-interference capability optimization device provided by the present application has the same beneficial effects as the anti-interference capability optimization method provided by the above-mentioned embodiments, and other technical features in the anti-interference capability optimization device are the same as the features disclosed in the previous embodiment method, which will not be repeated here.

[0182] It should be understood that various parts of the present application can be realized by hardware, software, firmware or a combination thereof. In the description of the above-mentioned embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0183] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0184] The present application provides a computer readable storage medium having stored thereon computer readable program instructions (i.e. computer program) for executing the anti-interference capability optimization method in the above-mentioned embodiments.

[0185] The computer readable storage medium provided in the present application may, for example, be a U disk, but is not limited to an electric, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electric connection with one or more conductive wires, 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), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present embodiment, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer readable storage medium can be transmitted by any suitable medium, including but not limited to an electric wire, an optical cable, an RF (Radio Frequency), and the like, or any suitable combination of the above.

[0186] The above computer readable storage medium can be included in the anti-interference capability optimization device, or can exist separately without being assembled into the anti-interference capability optimization device.

[0187] The above computer readable storage medium carries one or more programs, which, when executed by the anti-interference capability optimization device, cause the anti-interference capability optimization device to: calculate a target coverage of a high-voltage power station partial discharge signal according to a target node function model corresponding to a high-voltage power station partial discharge simulation generation circuit; determine a high-voltage power station partial discharge interference influence degree judgment condition according to the target coverage of the high-voltage power station partial discharge signal; determine a high-voltage power station partial discharge analysis result according to the high-voltage power station partial discharge interference influence degree judgment condition; and generate a corresponding anti-interference capability optimization strategy according to the high-voltage power station partial discharge analysis result.

[0188] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0189] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flow diagrams or block diagrams can represent a module, a segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently or the blocks may

[0190] The modules involved in the embodiments of the present application can be implemented in the form of software or in the form of hardware. In some cases, the name of the module does not constitute a limitation on the module itself.

[0191] The readable storage medium provided by the present application is a computer readable storage medium, which stores computer readable program instructions (i.e., a computer program) for executing the anti-interference capability optimization method described above, and can solve the technical problem of poor anti-interference capability of the internal high-voltage electric partial discharge simulation generation circuit of the automobile high-voltage wire harness tester in the prior art. Compared with the prior art, the computer readable storage medium provided by the present application has the same beneficial effects as the anti-interference capability optimization method provided by the above-mentioned embodiments, and will not be described here.

[0192] The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the anti-interference capability optimization method as described above.

[0193] The computer program product provided by the application can solve the technical problem of poor anti-interference capability of the internal high-voltage electric partial discharge simulation generation circuit of the automobile high-voltage wire harness tester in the prior art. Compared with the prior art, the beneficial effects of the computer program product provided by the application are the same as those of the anti-interference capability optimization method provided by the above-mentioned embodiments, and are not described here.

[0194] The above only describes some embodiments of the application, and does not limit the patent scope of the application. Any equivalent structural transformation, direct / indirect application in other related technical fields, or direct / indirect application in other related technical fields based on the technical concept of the application and the content of the specification and drawings are included in the patent protection scope of the application.

Claims

1. A method for optimizing interference immunity, characterized by, The anti-interference capability optimization method comprises: According to the target node function model corresponding to the high-voltage electric partial discharge simulation generation circuit, the target coverage of the high-voltage electric partial discharge signal is calculated; According to the target coverage of the high-voltage electric partial discharge signal, the high-voltage electric partial discharge interference degree judgment condition is determined, wherein according to the data function in the maximum coverage collected, the abnormal signal probability in this range is speculated, and the high-voltage electric partial discharge interference degree judgment condition is obtained as: wherein, represents a high-voltage electric partial discharge anti-interference ability function matrix in a normal state, represents a high-voltage electric partial discharge anti-interference ability function matrix in an abnormal state; According to the high-voltage electric partial discharge interference degree judgment condition, the high-voltage electric partial discharge analysis result is determined, wherein if the normal information algebra matrix of the high-voltage electric partial discharge recognition is 1, the high-voltage electric partial discharge is in the best state; if the abnormal signal algebra matrix is 0, the network is an affected distribution structure, and the RLPCCA characteristic matrix is calculated by the multiplier method; According to the high-voltage electric partial discharge analysis result, the corresponding anti-interference capability optimization strategy is generated; According to the high-voltage electric partial discharge analysis result, the corresponding anti-interference capability optimization strategy is generated; According to the high-voltage electric partial discharge analysis result, the characteristic matrix of the sensing network is determined; According to the characteristic matrix of the sensing network, the interference data is collected to obtain target interference data; According to the target interference data, the corresponding anti-interference capability optimization strategy is generated; Before the target coverage of the high-voltage electric partial discharge signal is calculated according to the target node function model corresponding to the high-voltage electric partial discharge simulation generation circuit, the following steps are further included: According to the input data variables of the high-voltage electric partial discharge simulation generation circuit, the point data function, the partial discharge parameter information, the running signal, the node information, the high-voltage discharge type and the high-voltage discharge quantity are determined; According to the point data function, the partial discharge parameter information, the running signal, the node information, the high-voltage discharge type and the high-voltage discharge quantity, the target node function model corresponding to the high-voltage electric partial discharge simulation generation circuit is established, wherein the algorithm model characteristics of the high-voltage electric partial discharge simulation generation controller of the automobile high-voltage wire harness tester are obtained, and the node model function is: wherein, represents high-voltage electric partial discharge signal input at each point data function, represents high-voltage electric partial discharge specific parameter information, represents high-voltage electric partial discharge detected operation signal; X represents node information, i, j represents high-voltage discharge type, and n represents high-voltage discharge quantity; According to the high-voltage electric partial discharge analysis result, the characteristic matrix of the sensing network is determined; When the high-voltage electric partial discharge analysis result is an abnormal signal algebra matrix with a first preset value, the characteristic matrix is calculated according to a preset multiplier method to obtain a characteristic matrix calculation result; According to the characteristic matrix calculation result, the characteristic matrix of the sensing network is determined.

2. The method of claim 1, wherein, According to the target node function model corresponding to the high-voltage electric partial discharge simulation generation circuit, the target coverage of the high-voltage electric partial discharge signal is calculated, comprising: According to the target node function model corresponding to the high-voltage electric partial discharge simulation generation circuit, the signal fluctuation coverage, the sensing network information total amount, the initialization data variable, the abnormal signal variable and the supply amount matrix are determined; According to the signal fluctuation coverage, the sensing network information total amount, the initialization data variable, the abnormal signal variable and the supply amount matrix, the target coverage of the high-voltage electric partial discharge signal is calculated.

3. The method of claim 1, wherein, According to the characteristic matrix of the sensing network, the interference data is collected to obtain target interference data, comprising: According to the feature matrix of the sensor network, interference data is collected to determine the collected interference data; According to the preset hash function and the collected interference data, a corresponding calculation verification value is obtained; When the calculation verification value is consistent with the initial verification value in the collected interference data, it is determined that the collected interference data is the target interference data.

4. The method of claim 1, wherein, According to the high-voltage partial discharge analysis result, a corresponding anti-interference ability optimization strategy is generated, which includes: When the high-voltage partial discharge analysis result is a normal signal algebra matrix with a second preset value, it is determined that the high-voltage partial discharge state is normal. According to the high-voltage partial discharge state, a corresponding anti-interference ability optimization strategy is generated.

5. An anti-jamming capability optimization system, comprising: The system includes a processor, a data processing module, and a data collection module. The processor is configured to calculate the target coverage of the high-voltage partial discharge signal according to the target node function model of the high-voltage partial discharge simulation generation circuit, wherein the point data function, the partial discharge parameter information, the running signal, the node information, the high-voltage discharge type, and the high-voltage discharge quantity are determined according to the input data variables of the high-voltage partial discharge simulation generation circuit; the target node function model of the high-voltage partial discharge simulation generation circuit is established according to the point data function, the partial discharge parameter information, the running signal, the node information, the high-voltage discharge type, and the high-voltage discharge quantity; the algorithm model characteristics of the high-voltage partial discharge simulation generation controller of the automobile high-voltage wire harness tester are obtained, and the node model function is as follows: wherein, represents high-voltage electric partial discharge signal input at each point data function, represents high-voltage electric partial discharge specific parameter information, represents high-voltage electric partial discharge detected operation signal; X represents node information, i, j represents high-voltage discharge type, and n represents high-voltage discharge quantity; According to the target coverage of the high-voltage partial discharge signal, the interference influence degree judgment condition of the high-voltage partial discharge is determined, wherein according to the data function in the maximum coverage area, the abnormal signal probability in this range is speculated, and the interference influence degree judgment condition of the high-voltage partial discharge is obtained as follows: wherein, represents a high-voltage electric partial discharge anti-interference ability function matrix in a normal state, represents a high-voltage electric partial discharge anti-interference ability function matrix in an abnormal state; According to the high-voltage partial discharge analysis result, a corresponding anti-interference ability optimization strategy is generated; According to the high-voltage partial discharge analysis result, the feature matrix of the sensor network is determined, wherein when the high-voltage partial discharge analysis result is an abnormal signal algebra matrix with a first preset value, the feature matrix is calculated according to the preset multiplier method to obtain a feature matrix calculation result; the feature matrix of the sensor network is determined according to the feature matrix calculation result; According to the feature matrix of the sensor network, interference data is collected to obtain target interference data; The data collection module is used to collect the analog signals emitted by the high-voltage partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester and send the analog signals emitted by the high-voltage partial discharge simulation generation circuit inside the automobile high-voltage wire harness tester to the data processing module. ​ The data processing module is used for converting analog signals emitted by the high-voltage electric partial discharge analog generating circuit in the automobile high-voltage wire harness tester into digital information for the processor.

6. An anti-jamming capability optimization device, characterized by, The device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the anti-interference capability optimization method according to any one of claims 1 to 4.

7. A storage medium, characterized by The storage medium is a computer readable storage medium, and the storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the anti-interference capability optimization method according to any one of claims 1 to 4.

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