Locomotive lightning arrester state monitoring method, system and equipment and storage medium

Abstract

The invention relates to the technical field of lightning arrester state monitoring, and discloses a locomotive lightning arrester state monitoring method, system and device and a storage medium. The method comprises the following steps: monitoring the operation characteristic quantity of the locomotive lightning arrester in real time to obtain a measured value; acquiring test data of the lightning arrester according to the test scheme; constructing a health state evaluation model according to the test data and preset maintenance operation requirements; setting state evaluation parameters and fault judgment standards based on the health state evaluation model; and judging whether a fault is alarmed or not according to a comparison result of the state evaluation parameter and the measured value, and analyzing the fault type of the locomotive lightning arrester according to a fault judgment standard and the comparison result. According to the invention, the health state evaluation model is constructed through the test data and is used for evaluating and analyzing the measured value monitored in real time, so that the online monitoring of the locomotive lightning arrester is realized, the overhaul and maintenance operation efficiency of the locomotive lightning arrester is improved, and the safety monitoring level of the locomotive lightning arrester is improved in a refined overhaul mode.

Description

Technical Field

[0001] The present invention relates to the technical field of lightning arrester status monitoring, and in particular to a method, system, device and storage medium for monitoring the status of a lightning arrester of a locomotive vehicle. Background Art

[0002] The arrester is one of the important components of the roof high-voltage equipment and plays an important role in the safe operation of locomotives and vehicles. The arrester has a large resistivity under power frequency voltage and only flows microampere current. Under lightning current, its resistivity becomes very small, which can quickly discharge lightning current and protect the high-voltage electrical equipment on the grid side. However, the arrester valve plate will age due to moisture or long operation time, resulting in a decrease in its insulation performance and becoming more prone to failure, which has a great impact on the safe operation of locomotives and vehicles.

[0003] In order to monitor the state of the arrester, a discharge counter for the arrester is connected in series with the arrester of the gap line for regular inspection. However, the online monitoring means for the arrester of locomotives and vehicles are insufficient, the inspection and maintenance efficiency is low, and it is difficult to reflect the real state of the arrester. Summary of the invention

[0004] The main purpose of the present invention is to provide a method, system, device and storage medium for monitoring the state of a lightning arrester of a locomotive vehicle, aiming to solve at least one of the above-mentioned problems.

[0005] To achieve the above object, the present invention provides a method for monitoring the state of a lightning arrester of a rolling stock, comprising:

[0006] Monitor the operating characteristic quantities of the lightning arresters of rolling stock in real time to obtain the measured values;

[0007] Collect test data of rolling stock arresters according to the test plan;

[0008] Constructing a health status evaluation model for the lightning arrester of a rolling stock according to the test data and the preset maintenance operation requirements;

[0009] Setting the state evaluation parameters and fault judgment criteria of the arrester based on the health state evaluation model;

[0010] Whether a fault alarm is issued is determined based on the comparison result between the state evaluation parameter and the measured value, and the fault type of the locomotive vehicle lightning arrester is analyzed based on the fault judgment standard and the comparison result.

[0011] In some embodiments, the real-time monitoring of the operating characteristic quantity of the locomotive vehicle arrester to obtain the measured value includes:

[0012] Start 100K synchronous sampling of voltage and current, and calculate voltage harmonics and harmonic distortion based on the sampled data;

[0013] Calculate the fundamental voltage amplitude and phase as well as the fundamental current amplitude and phase;

[0014] Calculating the resistive current, the resistance-capacitance ratio and the capacitive current according to the voltage harmonics and harmonic distortion, the fundamental voltage amplitude and phase, and the fundamental current amplitude and phase to obtain the measured values;

[0015] Determine whether the ambient humidity is greater than a preset humidity threshold;

[0016] When the ambient humidity is less than the preset humidity threshold, the measurement value is output.

[0017] In some embodiments, the startup voltage and current 100K are synchronously sampled, and voltage harmonics and harmonic distortion are calculated based on the sampled data, including:

[0018] Start voltage and current 100K synchronous sampling;

[0019] Determine whether sampling is completed;

[0020] When sampling is completed, the sampled voltage data and current data are subjected to phase-shift-free digital filtering to obtain processed data;

[0021] Calculating the voltage frequency and amplitude according to the processed data to obtain a frequency result and an amplitude result;

[0022] Determine whether the frequency result is correct according to the preset frequency;

[0023] When the frequency result meets the preset frequency, comparing the preset amplitude with the amplitude result to determine whether the locomotive vehicle arrester is under pressure;

[0024] When the locomotive vehicle lightning arrester is under pressure, calculate the voltage harmonics and harmonic distortion.

[0025] In some embodiments, the method further comprises:

[0026] When it is determined that the frequency result does not meet the preset frequency, the real-time monitored measurement value is reset to zero and output;

[0027] When it is determined that the locomotive vehicle lightning arrester is not under pressure, the measured value is reset to zero and outputted;

[0028] When it is determined that the ambient humidity is greater than or equal to the preset humidity threshold, the measured value is reset to zero and output.

[0029] In some embodiments, the operating characteristic quantities include total current, resistive current, capacitive current, resistance-capacitance ratio, overhead line voltage, frequency, and harmonic content.

[0030] In some embodiments, collecting test data of the locomotive vehicle lightning arrester according to the test plan includes:

[0031] According to the test plan, the influence of temperature change on the arrester state characterization quantity is tested to obtain temperature test data;

[0032] According to the test plan, the change test of the state characterization quantity during the aging process of the lightning arrester is carried out to obtain the aging test data;

[0033] Conduct a moisture simulation test on the arrester according to the test plan to obtain moisture test data;

[0034] The test data of the lightning arrester of the locomotive vehicle is obtained according to the temperature test data, the aging test data and the moisture test data.

[0035] In some embodiments, the health status evaluation model of the locomotive vehicle arrester is constructed according to the test data and the preset maintenance operation requirements, including:

[0036] Evaluate the temperature performance and status of the arrester and fit the temperature conversion formula according to the temperature test data in the test data;

[0037] Evaluate the arrester aging performance and state according to the aging test data in the test data and obtain a quantitative relationship between the arrester aging degree and the state characterization quantity;

[0038] Obtaining a quantitative relationship between the degree of moisture and the state characterization quantity according to the moisture test data in the test data;

[0039] A health status evaluation model for locomotive and vehicle lightning arresters is constructed based on the evaluation results, fitting temperature conversion formula, quantitative relationship and preset maintenance work requirements.

[0040] In addition, to achieve the above-mentioned purpose, the present invention also proposes a locomotive vehicle lightning arrester status monitoring system, comprising:

[0041] A real-time monitoring module is used to monitor the operating characteristic quantities of the lightning arrester of the locomotive vehicle in real time to obtain the measured values;

[0042] The experimental test module is used to collect the test data of the lightning arrester of the rolling stock according to the test plan;

[0043] An evaluation model building module, used to build a health status evaluation model for locomotive vehicle arresters according to the test data and preset maintenance work requirements;

[0044] An evaluation parameter setting module, used to set the state evaluation parameters and fault judgment criteria of the arrester based on the health state evaluation model;

[0045] The early warning analysis module is used to determine whether a fault alarm is issued based on the comparison result between the state evaluation parameter and the measurement value, and to analyze the fault type of the locomotive vehicle arrester based on the fault judgment standard and the comparison result.

[0046] In addition, to achieve the above-mentioned purpose, the present invention also proposes an electronic device, which includes: a memory, a processor, and a locomotive vehicle lightning arrester status monitoring program stored in the memory and executable on the processor, wherein the locomotive vehicle lightning arrester status monitoring program is configured to implement the locomotive vehicle lightning arrester status monitoring method as described above.

[0047] In addition, to achieve the above objectives, the present invention also proposes a storage medium, which stores a locomotive vehicle lightning arrester status monitoring program, and the locomotive vehicle lightning arrester status monitoring program is used to enable the processor to implement the locomotive vehicle lightning arrester status monitoring method as described above when executing it.

[0048] The present invention provides a method for monitoring the state of a lightning arrester of a locomotive vehicle, comprising: monitoring the operating characteristic quantity of the lightning arrester of the locomotive vehicle in real time to obtain a measured value; collecting the test data of the lightning arrester of the locomotive vehicle according to the test scheme; constructing a health status evaluation model of the lightning arrester of the locomotive vehicle according to the test data and the preset maintenance operation requirements; setting the state evaluation parameters and fault judgment criteria of the lightning arrester based on the health status evaluation model; judging whether a fault alarm is issued according to the comparison result between the state evaluation parameters and the measured value, and analyzing the fault type of the lightning arrester of the locomotive vehicle according to the fault judgment criteria and the comparison result. In the present invention, a health status evaluation model is constructed through test data to evaluate and analyze the measured values ​​monitored in real time, realize online monitoring of the lightning arrester of the locomotive vehicle, and further improve the maintenance and repair efficiency of the lightning arrester of the locomotive vehicle, improve the safety monitoring level of the lightning arrester of the locomotive vehicle with a refined maintenance method, and improve the effectiveness, safety and reliability of the maintenance operation of the lightning arrester of the locomotive vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A schematic diagram of the structure of an electronic device in a hardware operating environment involved in an embodiment of the present invention;

[0050] Figure 2 A schematic diagram of a flow chart of an embodiment of a method for monitoring the state of a lightning arrester of a locomotive vehicle according to the present invention;

[0051] Figure 3 It is a schematic diagram of the process of collecting and analyzing the operating characteristic data of the lightning arrester of a locomotive and vehicle involved in the embodiment of the present invention;

[0052] Figure 4 This is a schematic diagram of the DC test wiring during the test involved in the embodiment of the present invention;

[0053] Figure 5 This is a schematic diagram of AC test wiring during testing involved in an embodiment of the present invention;

[0054] Figure 6 A schematic diagram of a process for constructing a health status evaluation model involved in an embodiment of the present invention;

[0055] Figure 7 It is a structural block diagram of an embodiment of a locomotive vehicle lightning arrester status monitoring system of the present invention.

[0056] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0057] 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.

[0058] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0059] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention. It should be understood that the specific embodiments described here are only used to explain the present invention and are not used to limit the present invention.

[0060] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the structure of an electronic device of the hardware operating environment involved in the embodiment of the present invention.

[0061] like Figure 1As shown, the electronic device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM memory) or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0062] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the electronic device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0063] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a vehicle arrester status monitoring program.

[0064] exist Figure 1 In the electronic device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the electronic device of the present invention can be set in the electronic device, and the electronic device calls the locomotive vehicle lightning arrester status monitoring program stored in the memory 1005 through the processor 1001, and executes the locomotive vehicle lightning arrester status monitoring method provided by the embodiment of the present invention.

[0065] The present invention provides a method, system, equipment and storage medium for monitoring the state of a lightning arrester of a locomotive vehicle.

[0066] The embodiment of the present invention provides a method for monitoring the state of a lightning arrester of a locomotive vehicle, referring to Figure 2 , Figure 2 It is a flow chart of an embodiment of a method for monitoring the state of a lightning arrester of a locomotive vehicle according to the present invention.

[0067] like Figure 2As shown, the locomotive vehicle arrester state monitoring method comprises:

[0068] Step S100: real-time monitoring of the operating characteristic quantity of the vehicle arrester to obtain a measured value;

[0069] Step S200: collecting test data of the locomotive vehicle arrester according to the test plan;

[0070] Step S300: constructing a health status evaluation model for the vehicle arrester according to the test data and preset maintenance work requirements;

[0071] Step S400: setting state evaluation parameters and fault judgment criteria of the arrester based on the health state evaluation model;

[0072] Step S500: judging whether a fault alarm is issued according to the comparison result between the state evaluation parameter and the measurement value, and analyzing the fault type of the locomotive vehicle arrester according to the fault judgment standard and the comparison result.

[0073] It should be noted that the execution subject in this embodiment may be an electronic device, which may be a computer device with data processing functions, or other devices that can achieve the same or similar functions. This embodiment does not limit this. In this embodiment, a computer device is used as an example for explanation.

[0074] It is understandable that this embodiment is described by taking the state monitoring of the lightning arrester of a locomotive vehicle as an example. Exemplarily, the state monitoring of the lightning arrester of a locomotive vehicle can be achieved by a roof lightning arrester monitoring device and an in-vehicle monitoring and management device, wherein the roof lightning arrester monitoring device may include: an impulse current coil, a power frequency zero flux current coil, a monitoring mainboard, a power board, and a device housing; the in-vehicle lightning arrester monitoring and management device may include: a monitoring mainboard, an optical fiber switch board, a display screen, a power board, and a device housing.

[0075] In one embodiment, the operating characteristic quantities of the locomotive vehicle lightning arrester are monitored in real time to obtain measurement values, including: starting the voltage and current 100K synchronous sampling, and calculating the voltage harmonics and harmonic distortion based on the sampled data; calculating the fundamental voltage amplitude and phase and the fundamental current amplitude and phase; calculating the resistive current, the resistance-capacitance ratio and the capacitive current based on the voltage harmonics and harmonic distortion, the fundamental voltage amplitude and phase and the fundamental current amplitude and phase to obtain the measurement value; judging whether the ambient humidity is greater than a preset humidity threshold; and outputting the measurement value when the ambient humidity is less than the preset humidity threshold.

[0076] In one embodiment, the voltage and current are started to be sampled synchronously at 100K, and the voltage harmonics and harmonic distortion are calculated based on the sampled data, including: starting the voltage and current to be sampled synchronously at 100K; judging whether the sampling is completed; when the sampling is completed, performing phase-shift-free digital filtering processing on the sampled voltage data and current data to obtain processed data; performing voltage frequency and amplitude calculation based on the processed data to obtain frequency results and amplitude results; judging whether the frequency result is correct based on a preset frequency; when the frequency result meets the preset frequency, comparing the preset amplitude with the amplitude result to judge whether the locomotive vehicle arrester is under pressure; when the locomotive vehicle arrester is under pressure, calculating the voltage harmonics and harmonic distortion.

[0077] In one embodiment, the method further includes: when it is determined that the frequency result does not meet the preset frequency, the real-time monitored measurement value is reset to zero and output; when it is determined that the locomotive vehicle lightning arrester is not under pressure, the measurement value is reset to zero and output; when it is determined that the ambient humidity is greater than or equal to the preset humidity threshold, the measurement value is reset to zero and output.

[0078] Specifically, the operating characteristic quantities of the locomotive vehicle arrester, such as total current, resistive current, capacitive current, resistance-capacitance ratio, and contact network voltage, frequency, and harmonic content, are monitored. This embodiment does not impose any restrictions on this.

[0079] For example, Figure 3 The locomotive arrester operation characteristic quantity data collection and analysis process shown is as follows: start voltage and current 100K sampling; when sampling is completed, first filter the collected voltage data and current data, here, phase-shift-free digital filtering can be used; calculate frequency and amplitude based on the collected voltage data and current data; judge whether the calculated frequency result is correct according to the preset frequency, if it is correct, then judge whether the arrester is under pressure according to the amplitude result, if it is not correct, directly return the current measurement value to zero; if the arrester is under pressure, then perform subsequent voltage harmonics (2-20 times) and harmonic distortion calculations, if the arrester is not under pressure, then directly return the current measurement value to zero; perform fundamental wave calculation (fundamental wave voltage amplitude, phase and fundamental wave current amplitude, phase); calculate resistive current, resistance-to-capacitance ratio, and capacitive current based on the above calculation results to obtain the measured value; judge whether the ambient humidity is greater than the preset humidity threshold, for example 80%, if the ambient humidity is greater than or equal to 80%, the measured value is returned to zero and output 0, if the ambient humidity is less than 80%, the measured value is output.

[0080] In one example, frequency and amplitude calculation based on collected voltage data and current data may include the following steps: For frequency calculation: denoise the collected voltage and current data, for example, use a low-pass filter to remove high-frequency noise, and ensure that the data sampling rate is high enough to meet the Nyquist sampling theorem; use the fast Fourier transform (FFT) algorithm to convert the time domain signal into a frequency domain signal; find the point with the largest amplitude from the FFT result, and the corresponding frequency is the main frequency component of the signal. For amplitude calculation, amplitude calculation usually involves calculating the effective value (RMS) or peak value of the signal: directly find the maximum and minimum values ​​from the collected data, and perform peak calculation; perform effective value (RMS) calculation. It should be noted that it is necessary to ensure that the sampling rate is high enough to avoid aliasing. For non-periodic signals or signals with large noise, it may be necessary to use window functions (such as Hamming windows, Hanning windows, etc.) to reduce edge effects and leakage effects. In practical applications, it is necessary to consider the nonlinear characteristics of the signal, and other signal processing techniques may be required.

[0081] In one example, the calculation of voltage harmonics and harmonic distortion can be performed by the following steps: First, the collected voltage and current data is preprocessed, including removing the trend term or mean to eliminate the DC component of the signal, applying a window function (such as a Hanning window or a Hamming window) to reduce spectrum leakage, and ensuring that the data length is a power of 2 for fast Fourier transform FFT operations. Perform a fast Fourier transform FFT on the preprocessed data to convert the time domain signal to the frequency domain; extract the amplitude and phase of the 2nd to 20th harmonics from the results of the fast Fourier transform FFT. Harmonic distortion (Total Harmonic Distortion, THD) is the percentage of harmonic components relative to the fundamental component, which can be calculated according to the harmonic distortion calculation formula.

[0082] In one example, the fundamental voltage amplitude, phase and fundamental current amplitude, phase can be calculated by the following steps: refer to the above example for data acquisition and preprocessing and fast Fourier transform (FFT); find the frequency component corresponding to the fundamental frequency from the fast Fourier transform FFT result; calculate the fundamental amplitude and phase.

[0083] In one example, the calculation of resistive current, RC ratio, and capacitive current can be performed by the following steps: refer to the above example for data acquisition and preprocessing and fast Fourier transform (FFT); extract the amplitude and phase of the fundamental frequency component from the fast Fourier transform FFT result; calculate the resistive current and capacitive current based on the amplitude of the fundamental current, the phase of the fundamental voltage, and the phase of the fundamental current; calculate the RC ratio by the ratio of the resistive current to the capacitive current.

[0084] In one embodiment, test data of a lightning arrester for a locomotive vehicle is collected according to a test plan, including: performing a test on the effect of temperature changes on state characterization quantities of the lightning arrester according to the test plan to obtain temperature test data; performing a test on the change of state characterization quantities during the aging process of the lightning arrester according to the test plan to obtain aging test data; performing a moisture simulation test on the lightning arrester according to the test plan to obtain moisture test data; and obtaining test data of the lightning arrester for a locomotive vehicle based on the temperature test data, aging test data and moisture test data.

[0085] In one embodiment, a health status evaluation model for a locomotive vehicle lightning arrester is constructed based on the test data and preset maintenance work requirements, including: evaluating the temperature performance and status of the lightning arrester and fitting the temperature conversion formula based on the temperature test data in the test data; evaluating the aging performance and status of the lightning arrester and obtaining the quantitative relationship between the aging degree of the lightning arrester and the state characterization quantity based on the aging test data in the test data; obtaining the quantitative relationship between the moisture degree and the state characterization quantity based on the moisture test data in the test data; and constructing a health status evaluation model for a locomotive vehicle lightning arrester based on the evaluation results, the fitted temperature conversion formula, the quantitative relationship and the preset maintenance work requirements.

[0086] Specifically, data collection tests are carried out to build a health status evaluation model for locomotive and vehicle lightning arresters. Temperature, aging, and moisture arrester status monitoring data are collected respectively. The test items include: the impact of temperature changes on the arrester status characterization quantity, the change test of the status characterization quantity during the aging process of the arrester, and the arrester moisture simulation test.

[0087] For example, the impact of temperature change on the arrester state characterization quantity: the test is divided into two tests: DC test and AC test. The DC test value is used to evaluate the performance and state of the arrester. The AC test values ​​at different temperatures are obtained to fit the temperature conversion formula. This test measures the DC and AC characteristic values ​​of the arrester at -40℃, -20℃, 0℃, 20℃, 50℃, 60℃, 70℃, and 80℃. Figure 4 The following is the DC test wiring schematic diagram during testing. Figure 5 Shown is the wiring schematic diagram of the AC test during testing.

[0088] In one example, the specific steps of the temperature test include: (1) setting the temperature of the temperature control box to 80°C, placing all the arrester samples in the high and low temperature temperature control box and leaving them for 4 hours; (2) taking out the test product from the temperature control box, connecting the test equipment and the test sample according to the DC test wiring schematic diagram, adjusting the output voltage of the high-voltage DC generator, and observing the current and voltage measurement values; (3) when the current measurement value shows 1mA, recording the voltage in the data recording table U 1mA Voltage value; (4) Reduce the output voltage value of the high voltage DC generator, when the voltage is about 75% U1mA When the current value is 75% U 1mA (5) Adjust the output voltage of the high-voltage DC generator to zero, disconnect the power supply of the high-voltage DC generator, and transfer the arrester test piece to the AC test process; (6) Connect the test equipment and test sample according to the AC test wiring schematic diagram; (7) Adjust the output voltage of the power frequency test transformer and adjust the power frequency voltage to an AC voltage of 25 kV; (8) Record the test values ​​of the resistive current tester: full current effective value, full current peak value, resistive current peak value, resistive current fundamental peak value, and arrester power consumption; (9) Record the output test values ​​of the arrester status monitoring device: voltage, frequency, leakage current (full current), resistive current, Capacitive current, resistance-capacitance ratio; (10) Adjust the output voltage of the power frequency test transformer, adjust the power frequency voltage to AC voltage 27.5kV, 31.5kV, and 34kV respectively, and repeat steps (8)-(9); (11) Adjust the output voltage of the power frequency test transformer to zero, disconnect the power supply of the power frequency test transformer, replace the lightning arrester test sample, and repeat steps (2)-(10) to complete the test of all samples at this temperature; (12) Set the temperature of the temperature control box to 70℃, 60℃, 50℃, 20℃, 0℃, -20℃, and -40℃ respectively, and place all lightning arrester samples in a high and low temperature temperature control box for 4 hours. Repeat steps (2)-(11) until all lightning arrester samples are tested at all test temperatures.

[0089] Exemplarily, the state characterization data of the lightning arrester aging process is quantitatively tested: a lightning arrester with detachable valve plates is customized, and the three valve plates with the highest charge rate of the lightning arrester are subjected to accelerated electrical aging (charge rate 105%, temperature 135°C). After every 24 hours of aging, the finished lightning arrester is assembled and subjected to a DC test and an AC test to obtain the quantitative relationship between the arrester aging degree and the state characterization quantity. This test continues until the performance of the lightning arrester is degraded and it is determined that it cannot meet the operating technical indicators. The DC test values ​​are used to evaluate the performance and state of the lightning arrester, and the obtained AC test values ​​are used as the basic data for state evaluation trend analysis and the basis for fault (aging fault) diagnosis, such as Figure 4 The following is the DC test wiring schematic diagram during testing. Figure 5 Shown is the wiring schematic diagram of the AC test during testing.

[0090] In one example, the specific steps of the aging test include: (1) taking out the top three valve plates from the customized lightning arrester test product; (2) placing the taken out resistor valve plates in an aging box, applying a voltage of 105% of the charge rate to the valve plates, and adjusting the temperature of the aging box to 135°C; (3) after the aging time lasts for 24 hours, the valve plates are reinstalled on the lightning arrester test product to form a complete lightning arrester test product; (4) connecting the test equipment and the test sample according to the DC test schematic diagram; (5) adjusting the output voltage of the high-voltage DC generator and observing the current and voltage measurement values; (6) when the current measurement value shows 1mA, the voltage is recorded in the data recording table U 1mA Voltage value; (7) Reduce the output voltage value of the high voltage DC generator, when the voltage is about 75% U 1mA When the current value is 75% U 1mA (8) Adjust the output voltage of the high-voltage DC generator to zero and disconnect the power supply of the high-voltage DC generator; (9) Connect the test equipment and test samples according to the AC test schematic; (10) Read the test value of the laboratory temperature and humidity measuring instrument, and record the temperature and humidity values ​​during the test in the temperature and humidity corresponding table in the data recording table; (11) Adjust the output voltage of the power frequency test transformer and adjust the power frequency voltage to an AC voltage of 25kV; (12) Record the test values ​​of the resistive current tester: full current effective value, full current peak value, resistive current peak value, resistive current basic value Peak value, arrester power consumption; (13) Record the output test values ​​of the arrester status monitoring device: voltage, frequency, leakage current (full current), resistive current, capacitive current, resistance-capacitance ratio; (14) Adjust the output voltage of the power frequency test transformer, adjust the power frequency voltage to AC voltage 27.5kV, 31.5kV, 34kV respectively, and repeat steps (11)-(13); (15) Adjust the output voltage of the power frequency test transformer to zero, and disconnect the power supply of the power frequency test transformer; (16) Evaluate the performance of the arrester according to the DC test value. When U 1mA <58kV or 75%U 1mA When the current is >50uA, the arrester test is completed. Otherwise, repeat steps (1)-(14) until the arrester test sample aging process is completed; (17) Replace the arrester test sample and repeat steps (1)-(14) until all test samples are completed.

[0091] For example, the arrester moisture simulation test: the arrester test piece is customized with a valve cavity that can be filled and exhausted, and a temperature and humidity measurement sensor is pre-embedded. A humidifying device is used to control the humidity in the arrester cavity (maintain 80% humidity), and then an AC 27.5kV voltage is continuously applied, and a DC test is performed every 30 minutes. When the DC test value indicates a lightning arrester fault (U 1mA <58kV or 75%U 1mAThe current > 50uA) needs to be stopped and the test is terminated. The goal of this experiment is to obtain the quantitative relationship between the degree of moisture and the state characterization quantity, such as Figure 4 The following is the DC test wiring schematic diagram during testing. Figure 5 Shown is the wiring schematic diagram of the AC test during testing.

[0092] In one example, the specific steps of the moisture simulation test include: (1) connecting the test equipment and the test sample according to the AC test schematic diagram; (2) using the humidification cycle control device to add humidity to the arrester cavity, and reading the monitoring data of the wireless temperature and humidity monitoring device. When the humidity reaches 80% and stabilizes for 5 minutes, start the next test; (3) adjust the output voltage of the power frequency test transformer and adjust the power frequency voltage to an AC voltage of 25kV; (4) record the resistive current tester test once every 3 minutes: full current effective value, full current peak value, resistive current peak value, resistive current fundamental peak value, and arrester power consumption; (5) record the output test value of the arrester status monitoring device once every 3 minutes: voltage, frequency, leakage current (full current), resistive current, capacitive current, and resistance-capacitance ratio; (6) after an interval of 30 minutes, terminate the test transformer output, and connect the test equipment and the test sample according to the DC test schematic diagram; (7) adjust the output voltage of the high-voltage DC generator and observe the current and voltage measurement values; (8) when the current measurement value shows 1mA, record the voltage in the data recording table U 1mA Voltage value; (9) Reduce the output voltage value of the high voltage DC generator, when the voltage is about 75% U 1mA When the current value is 75% U 1mA (10) adjusting the output voltage of the high-voltage DC generator to zero and disconnecting the power supply of the high-voltage DC generator; (11) evaluating the performance of the arrester according to the DC test value, when U 1mA <58kV or 75%U 1mA When the current is >50uA, the arrester test is completed. Otherwise, repeat steps (1)-(10) until the arrester moisture simulation process test is completed; (12) Replace the arrester test piece and repeat steps (1)-(11) until all test pieces are completed.

[0093] In one embodiment, the state evaluation parameters and fault judgment criteria of the lightning arrester are set based on the health status evaluation model; whether a fault alarm is issued is determined based on the comparison result between the state evaluation parameters and the measured value, and the fault type of the locomotive vehicle lightning arrester is analyzed based on the fault judgment criteria and the comparison result.

[0094] It should be noted that if Figure 6As shown, test data is collected according to the above three test items, and the risk warning evaluation model of the locomotive vehicle lightning arrester is corrected by the test data to obtain a health status evaluation model. Based on the health status evaluation model, combined with the lightning arrester maintenance operation and status evaluation considerations, the status evaluation parameters of the lightning arrester are set according to the plan (as shown in Table 1 below), and the parameters (fault judgment criteria) of the lightning arrester fault status alarm are set (as shown in Table 2 below).

[0095] Table 1 State evaluation parameters

[0096] Data volume Attention value (Class III alarm) Warning value (Class II alarm) Alarm value (Class I alarm) Full current ≥1.15 times the initial value ≥1.2 times the initial value ≥1.4 times the initial value Resistive current ≥1.3 times the initial value ≥1.5 times the initial value ≥2.0 times initial value RC Ratio ≥0.22 ≥0.25 ≥0.30

[0097] Table 2 Fault judgment criteria

[0098]

[0099] In this embodiment, the method solves the problem of insufficient online monitoring means for locomotive and vehicle lightning arresters, and at the same time further improves the efficiency of inspection and maintenance of locomotive and vehicle lightning arresters. It improves the effectiveness, safety and reliability of inspection and maintenance operations through refined inspection and maintenance methods, and provides an effective way for efficient operation for the rail transit industry.

[0100] The present embodiment provides a method for monitoring the state of a locomotive vehicle lightning arrester, including: monitoring the operating characteristic quantity of the locomotive vehicle lightning arrester in real time to obtain a measurement value; collecting test data of the locomotive vehicle lightning arrester according to a test scheme; constructing a health status evaluation model of the locomotive vehicle lightning arrester according to the test data and preset maintenance operation requirements; setting the state evaluation parameters and fault judgment criteria of the lightning arrester based on the health status evaluation model; judging whether a fault alarm is issued according to the comparison result between the state evaluation parameters and the measurement value, and analyzing the fault type of the locomotive vehicle lightning arrester according to the fault judgment criteria and the comparison result. In this embodiment, a health status evaluation model is constructed through test data to evaluate and analyze the real-time monitored measurement value, realize online monitoring of locomotive vehicle lightning arresters, and further improve the efficiency of the maintenance and repair of locomotive vehicle lightning arresters. The safety monitoring level of locomotive vehicle lightning arresters is improved by a refined maintenance method, and the effectiveness, safety and reliability of the maintenance operation of locomotive vehicle lightning arresters are improved.

[0101] In addition, an embodiment of the present invention further proposes a storage medium on which a locomotive vehicle lightning arrester status monitoring program is stored. When the locomotive vehicle lightning arrester status monitoring program is executed by a processor, the steps of the locomotive vehicle lightning arrester status monitoring method described above are implemented.

[0102] Reference Figure 7 , Figure 7 It is a structural block diagram of an embodiment of a locomotive vehicle lightning arrester status monitoring system of the present invention.

[0103] like Figure 7 As shown, the locomotive vehicle arrester state monitoring system comprises:

[0104] A real-time monitoring module 10 is used to monitor the operating characteristic quantity of the locomotive vehicle arrester in real time to obtain a measurement value;

[0105] The experimental test module 20 is used to collect the test data of the lightning arrester of the rolling stock according to the test plan;

[0106] An evaluation model building module 30, for building a health status evaluation model of a locomotive vehicle arrester according to the test data and preset maintenance operation requirements;

[0107] An evaluation parameter setting module 40, used to set the state evaluation parameters and fault judgment criteria of the arrester based on the health state evaluation model;

[0108] The early warning analysis module 50 is used to determine whether a fault alarm is issued according to the comparison result between the state evaluation parameter and the measurement value, and to analyze the fault type of the locomotive vehicle arrester according to the fault judgment standard and the comparison result.

[0109] The present embodiment provides a locomotive vehicle lightning arrester status monitoring system. In the present embodiment, a health status evaluation model is constructed through test data to evaluate and analyze the real-time monitoring measurement values, thereby realizing online monitoring of locomotive vehicle lightning arresters. At the same time, the efficiency of the inspection and maintenance of locomotive vehicle lightning arresters is further improved. The safety monitoring level of locomotive vehicle lightning arresters is improved by refined inspection and maintenance methods, and the effectiveness, safety and reliability of the inspection and maintenance operations of locomotive vehicle lightning arresters are improved.

[0110] It should be noted that the technical details not fully described in the embodiment of the locomotive and vehicle lightning arrester status monitoring system can be referred to the locomotive and vehicle lightning arrester status monitoring method provided in any embodiment of the present invention as described above, and will not be repeated here.

[0111] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0112] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0113] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0114] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0115] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0116] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for monitoring the state of a lightning arrester of a rolling stock, characterized in that: include: Monitor the operating characteristic quantities of the lightning arresters of rolling stock in real time to obtain the measured values; Collect test data of rolling stock arresters according to the test plan; Constructing a health status evaluation model for the lightning arrester of a rolling stock according to the test data and the preset maintenance operation requirements; Setting the state evaluation parameters and fault judgment criteria of the arrester based on the health state evaluation model; Whether a fault alarm is issued is determined based on the comparison result between the state evaluation parameter and the measured value, and the fault type of the locomotive vehicle lightning arrester is analyzed based on the fault judgment standard and the comparison result.

2. The method according to claim 1, characterized in that The real-time monitoring of the operating characteristic quantity of the locomotive vehicle arrester to obtain the measured value includes: Start 100K synchronous sampling of voltage and current, and calculate voltage harmonics and harmonic distortion based on the sampled data; Calculate the fundamental voltage amplitude and phase as well as the fundamental current amplitude and phase; Calculating the resistive current, the resistance-capacitance ratio and the capacitive current according to the voltage harmonics and harmonic distortion, the fundamental voltage amplitude and phase, and the fundamental current amplitude and phase to obtain the measured values; Determine whether the ambient humidity is greater than a preset humidity threshold; When the ambient humidity is less than the preset humidity threshold, the measurement value is output.

3. The method according to claim 2, characterized in that The starting voltage and current are sampled synchronously at 100K, and the voltage harmonics and harmonic distortion are calculated based on the sampled data, including: Start voltage and current 100K synchronous sampling; Determine whether sampling is completed; When sampling is completed, the sampled voltage data and current data are subjected to phase-shift-free digital filtering to obtain processed data; Calculating the voltage frequency and amplitude according to the processed data to obtain a frequency result and an amplitude result; Determine whether the frequency result is correct according to the preset frequency; When the frequency result meets the preset frequency, comparing the preset amplitude with the amplitude result to determine whether the locomotive vehicle arrester is under pressure; When the locomotive vehicle lightning arrester is under pressure, calculate the voltage harmonics and harmonic distortion.

4. The method according to claim 3, characterized in that The method further comprises: When it is determined that the frequency result does not meet the preset frequency, the real-time monitored measurement value is reset to zero and output; When it is determined that the locomotive vehicle lightning arrester is not under pressure, the measured value is reset to zero and outputted; When it is determined that the ambient humidity is greater than or equal to the preset humidity threshold, the measured value is reset to zero and output.

5. The method according to claim 1, characterized in that The operating characteristic quantities include total current, resistive current, capacitive current, resistance-capacitance ratio, overhead line voltage, frequency and harmonic content.

6. The method according to any one of claims 1 to 5, characterized in that The collecting of test data of the locomotive vehicle lightning arrester according to the test plan includes: According to the test plan, the influence of temperature change on the arrester state characterization quantity is tested to obtain temperature test data; According to the test plan, the change test of the state characterization quantity during the aging process of the lightning arrester is carried out to obtain the aging test data; Conduct a moisture simulation test on the arrester according to the test plan to obtain moisture test data; The test data of the lightning arrester of the locomotive vehicle is obtained according to the temperature test data, the aging test data and the moisture test data.

7. The method according to claim 6, characterized in that The health status evaluation model of the locomotive vehicle arrester is constructed according to the test data and the preset maintenance operation requirements, including: Evaluate the temperature performance and status of the arrester and fit the temperature conversion formula according to the temperature test data in the test data; Evaluate the arrester aging performance and state according to the aging test data in the test data and obtain a quantitative relationship between the arrester aging degree and the state characterization quantity; Obtaining a quantitative relationship between the degree of moisture and the state characterization quantity according to the moisture test data in the test data; A health status evaluation model for locomotive and vehicle lightning arresters is constructed based on the evaluation results, fitting temperature conversion formula, quantitative relationship and preset maintenance work requirements.

8. A locomotive and vehicle arrester status monitoring system, characterized in that: include: A real-time monitoring module is used to monitor the operating characteristic quantities of the lightning arrester of the locomotive vehicle in real time to obtain the measured values; The experimental test module is used to collect the test data of the lightning arrester of the rolling stock according to the test plan; An evaluation model building module, used to build a health status evaluation model for locomotive vehicle arresters according to the test data and preset maintenance work requirements; An evaluation parameter setting module, used to set the state evaluation parameters and fault judgment criteria of the arrester based on the health state evaluation model; The early warning analysis module is used to determine whether a fault alarm is issued based on the comparison result between the state evaluation parameter and the measurement value, and to analyze the fault type of the locomotive vehicle arrester based on the fault judgment standard and the comparison result.

9. An electronic device, characterized in that: The electronic device comprises: a memory, a processor and a locomotive vehicle lightning arrester status monitoring program stored in the memory and executable on the processor, wherein the locomotive vehicle lightning arrester status monitoring program is configured to implement the locomotive vehicle lightning arrester status monitoring method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a locomotive vehicle lightning arrester state monitoring program, and the locomotive vehicle lightning arrester state monitoring program is used to enable the processor to implement the locomotive vehicle lightning arrester state monitoring method according to any one of claims 1 to 7 when executing.

Images