Switch cabinet support particle adhesion degree evaluation method and device and test platform
By spraying dirt into the switchgear and collecting voltage measurements, and combining this with an optimized algorithm to calculate the adhesion evaluation factor, the problem of assessing the degree of particle adhesion on switchgear support components was solved, ensuring the reliability and accuracy of the assessment results.
Patent Information
- Application Number
- CN202310845399.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-11
- Publication Date
- 2025-11-07
- Estimated Expiration
- 2043-07-11
AI Technical Summary
Existing technologies lack the ability to assess the degree of particle adhesion to switchgear support components, especially under lightning strikes, which could lead to the expansion of insulation defects and cause incalculable consequences.
By spraying contaminants into the switch cabinet to a preset contaminant concentration, collecting and maintaining the contaminant concentration within a threshold range, and obtaining the combined ground voltage measurement values of the support sample under power frequency voltage and simulated lightning strike voltage, an adhesion evaluation factor is calculated using an optimization algorithm to assess the degree of particle adhesion.
A simple and easy-to-implement evaluation method is provided to ensure the reliability of the evaluation results. It can accurately assess the degree of particle adhesion to the support under varying pollution concentrations and prevent the expansion of insulation defects.
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Figure CN116879692B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of workpiece detection, in particular to a switch cabinet support particle adhesion degree evaluation method and device and test platform. BACKGROUND
[0002] The switch cabinet is an important equipment for power transmission and distribution, which has small floor area, small environmental interference and less dependence on maintenance, and is widely used in power systems. However, due to the defects of manufacturing process or aging caused by long-time operation, there are inevitable insulation hazards in the switch cabinet. When these hazards turn into faults, it may cause power outage trip and reduce power supply quality, or even cause personal injury and death.
[0003] During the operation of the switch cabinet, in addition to the AC voltage of daily work, it may also withstand external lightning impact. Under the combined action of the two excitations, the original insignificant insulation defects may be further expanded, causing immeasurable consequences. The particle adhesion on the switch cabinet support is a typical insulation defect of the switch cabinet component. However, there is currently a lack of evaluation of the particle adhesion degree of the switch cabinet support under lightning impact. SUMMARY
[0004] The present application provides a switch cabinet support particle adhesion degree evaluation method and device and test platform, which solves the technical problem that the prior art lacks an analysis scheme for the particle adhesion of the switch cabinet support.
[0005] Therefore, the first aspect of the present application provides a switch cabinet support particle adhesion degree evaluation method, which comprises:
[0006] After spraying dirt in the switch cabinet to a preset dirt concentration, collecting dirt concentration measurement values in the switch cabinet at preset time intervals, and keeping the average value of the dirt concentration within the threshold range of the dirt concentration, the average value of the dirt concentration is calculated according to two dirt concentration measurement values;
[0007] When collecting different dirt concentration measurement values, a plurality of groups of comprehensive ground voltage measurement values of the support sample in the switch cabinet under the combined action of the preset power frequency voltage and the simulated lightning voltage are obtained, the preset power frequency voltage includes a first preset amplitude, the simulated lightning voltage includes a second preset amplitude, and corresponds to the simulated lightning moment;
[0008] An initial voltage calculation model is optimized according to the comprehensive ground voltage measurement values by using a preset optimization algorithm to obtain a comprehensive voltage calculation optimization model;
[0009] According to the simulation lightning moment, the first preset amplitude and the comprehensive ground voltage calculation value, a moment influence reference value and a voltage amplitude reference factor are calculated respectively, and the comprehensive ground voltage calculation value is determined according to the comprehensive voltage calculation optimization model;
[0010] According to the moment influence reference value and the voltage amplitude reference factor, an adhesion degree evaluation factor is calculated, and the adhesion degree of the support sample particles in the switch cabinet is evaluated to obtain an evaluation result.
[0011] Preferably, when collecting different pollution concentration measurement values, a plurality of groups of comprehensive ground voltage measurement values of the support sample in the switch cabinet under the joint action of a preset power frequency voltage and a simulation lightning voltage are obtained, the preset power frequency voltage includes a first preset amplitude, the simulation lightning voltage includes a second preset amplitude, and the corresponding simulation lightning moment includes:
[0012] S1: A preset power frequency voltage with a first preset amplitude is generated by a power frequency transformer and acts on the support sample in the switch cabinet;
[0013] S2: When the real-time power frequency alternating wave phase generated by the power frequency transformer is monitored to be the simulation lightning moment, a simulation lightning voltage with a second preset amplitude is generated by a lightning simulator and acts on the support sample in the switch cabinet;
[0014] S3: When collecting different pollution concentration measurement values, a plurality of groups of comprehensive ground voltage measurement values under the joint action of the preset power frequency voltage and the simulation lightning voltage are obtained by a preset monitor.
[0015] Preferably, the initial voltage calculation model is optimized according to the comprehensive ground voltage measurement value by using a preset optimization algorithm to obtain a comprehensive voltage calculation optimization model, including:
[0016] An initial comprehensive ground voltage calculation value is determined according to the initial voltage calculation model;
[0017] An optimization objective function is constructed according to the initial comprehensive ground voltage calculation value and the comprehensive ground voltage measurement value;
[0018] The optimization objective function is optimized by iteration optimization based on the preset optimization algorithm to obtain an optimal error coefficient;
[0019] The initial voltage calculation model is optimized according to the optimal error coefficient to obtain the comprehensive voltage calculation optimization model.
[0020] Preferably, the adhesion degree evaluation factor calculated according to the moment influence reference value and the voltage amplitude reference factor evaluates the adhesion degree of the support sample particles in the switch cabinet to obtain an evaluation result, including:
[0021] An adhesion evaluation factor is calculated according to the time influence reference value, the voltage amplitude reference factor and a preset weight;
[0022] The adhesion evaluation factor is compared with a preset evaluation reference range to obtain an evaluation result of the particle adhesion degree of the support sample.
[0023] The second aspect of the application provides a device for evaluating the particle adhesion degree of a support sample of a switch cabinet, comprising:
[0024] A contamination test unit is configured to spray contamination to a preset contamination concentration in the switch cabinet, collect contamination concentration measurement values at preset time intervals, and keep the average value of the contamination concentration within a contamination concentration threshold range, wherein the average value of the contamination concentration is calculated according to two contamination concentration measurement values.
[0025] A voltage collection unit is configured to collect a plurality of groups of integrated ground voltage measurement values of the support sample in the switch cabinet under the combined action of a preset power frequency voltage and a simulated lightning strike voltage when different contamination concentration measurement values are collected, wherein the preset power frequency voltage includes a first preset amplitude, the simulated lightning strike voltage includes a second preset amplitude, and the second preset amplitude corresponds to a simulated lightning strike time.
[0026] A model optimization unit is configured to optimize an initial voltage calculation model according to the integrated ground voltage measurement values by using a preset optimization algorithm to obtain an integrated voltage calculation optimization model.
[0027] An evaluation calculation unit is configured to calculate a time influence reference value and a voltage amplitude reference factor according to the simulated lightning strike time, the first preset amplitude and an integrated ground voltage calculation value, respectively, wherein the integrated ground voltage calculation value is determined according to the integrated voltage calculation optimization model.
[0028] An evaluation analysis unit is configured to evaluate the particle adhesion degree of the support sample in the switch cabinet according to an adhesion evaluation factor calculated according to the time influence reference value and the voltage amplitude reference factor, and obtain an evaluation result.
[0029] Preferably, the voltage collection unit is specifically configured to:
[0030] S1: A preset power frequency voltage with a first preset amplitude is generated by a power frequency transformer to act on the support sample in the switch cabinet.
[0031] S2: When it is monitored that the real-time power frequency alternating wave phase generated by the power frequency transformer is a simulated lightning strike time, a simulated lightning strike voltage with a second preset amplitude is generated by a lightning strike simulator to act on the support sample in the switch cabinet.
[0032] S3: When collecting different pollution concentration measurement values, a plurality of sets of comprehensive ground voltage measurement values under the joint action of the preset power frequency voltage and the simulated lightning strike voltage are obtained by a preset monitor.
[0033] Preferably, the model optimization unit is specifically configured to:
[0034] determine an initial comprehensive ground voltage calculation value according to an initial voltage calculation model;
[0035] construct an optimization objective function according to the initial comprehensive ground voltage calculation value and the comprehensive ground voltage measurement value;
[0036] perform optimization calculation on the optimization objective function in an iterative optimization manner based on a preset optimization algorithm to obtain an optimal error coefficient;
[0037] optimize the initial voltage calculation model according to the optimal error coefficient to obtain a comprehensive voltage calculation optimization model.
[0038] Preferably, the evaluation and analysis unit is specifically configured to:
[0039] calculate an adhesion degree evaluation factor according to the time point influence reference value, the voltage amplitude reference factor and a preset weight;
[0040] compare the adhesion degree evaluation factor with a preset evaluation reference range to obtain an evaluation result of the particle adhesion degree of the support sample.
[0041] The third aspect of the application provides a switch cabinet support particle adhesion degree test platform, comprising: a host computer, a power frequency alternating current unit, a lightning strike simulation unit, an information monitoring unit and a switch cabinet;
[0042] The host computer is connected with the power frequency alternating current unit, the lightning strike simulation unit, the information monitoring unit and the switch cabinet respectively;
[0043] The power frequency alternating current unit and the lightning strike simulation unit are electrically connected with the switch cabinet;
[0044] The power frequency alternating current unit, the lightning strike simulation unit, the information monitoring unit and the switch cabinet are grounded through a grounding device.
[0045] Preferably, the power frequency alternating current unit comprises a power frequency controller, a power frequency source, a DC-AC module, an AC-DC module, a power frequency transformer and a first switch;
[0046] The lightning strike simulation unit comprises a lightning strike simulation controller, a lightning strike simulator and a second switch;
[0047] The information monitoring unit comprises a first high-voltage measurement module, a second high-voltage measurement module, a comprehensive ground voltage monitor and a contamination concentration monitor.
[0048] The switch cabinet comprises a support sample, a through hole, a partition plate and a contamination spraying device, and the support sample is arranged on the partition plate through the through hole;
[0049] The contamination spraying device comprises a contamination spraying head, a contamination sample box, a contamination guide pipe and a contamination controller.
[0050] From the above technical solutions, the embodiments of the present application have the following advantages:
[0051] In the present application, a switch cabinet support particle adhesion degree evaluation method is provided, comprising: after spraying contamination to a preset contamination concentration in a switch cabinet, collecting contamination concentration measurement values in the switch cabinet at preset time intervals, and keeping the average value of the contamination concentration within the contamination concentration threshold range, the average value of the contamination concentration being calculated according to two contamination concentration measurement values; when collecting different contamination concentration measurement values, obtaining a plurality of groups of comprehensive ground voltage measurement values of the support sample in the switch cabinet under the joint action of a preset power frequency voltage and a simulated lightning strike voltage, the preset power frequency voltage comprising a first preset amplitude, and the simulated lightning strike voltage comprising a second preset amplitude and corresponding to a simulated lightning strike moment; using a preset optimization algorithm to optimize an initial voltage calculation model according to the comprehensive ground voltage measurement values to obtain a comprehensive voltage calculation optimization model; calculating a moment influence reference value and a voltage amplitude reference factor according to the simulated lightning strike moment, the first preset amplitude and the comprehensive ground voltage calculation value respectively, the comprehensive ground voltage calculation value being determined according to the comprehensive voltage calculation optimization model; and evaluating the particle adhesion degree of the support sample in the switch cabinet according to the adhesion degree evaluation factor calculated according to the moment influence reference value and the voltage amplitude reference factor to obtain an evaluation result.
[0052] The switch cabinet support particle adhesion degree evaluation method provided by the present application provides an effective and feasible scheme for evaluating the particle adhesion degree of the support based on measurement and calculation analysis. In the case that the contamination concentration in the switch cabinet is in a changing state, the comprehensive ground voltage measurement values of the support sample in the switch cabinet under the joint action of the preset power frequency voltage and the simulated lightning strike voltage at different contamination concentrations are obtained; and the adhesion degree evaluation factor is calculated based on the values to realize the evaluation of the particle adhesion degree of the support sample. The measurement and calculation process is simple and easy to execute, and the factors are in accordance with the actual characteristics, so the reliability of the evaluation result can be ensured. Therefore, the present application can solve the technical problem that the prior art lacks an analysis scheme for the particle adhesion of the support of the switch cabinet. BRIEF DESCRIPTION OF DRAWINGS
[0053] Figure 1 The flowchart of the switch cabinet support particle adhesion degree evaluation method provided by the embodiments of the present application is shown.
[0054] Figure 2 A structural schematic diagram of a switch cabinet support particle adhesion degree evaluation device provided by an embodiment of the present application is shown in FIG. 1.
[0055] Figure 3 A structural schematic diagram of a switch cabinet support particle adhesion degree test platform provided by an embodiment of the present application is shown in FIG. 2.
[0056] Reference signs:
[0057] Host 1, lightning simulation controller 2, lightning simulator 3, first high-voltage measurement module 41, second high-voltage measurement module 42, switch cabinet 5, support sample 6, grounding device one 71, grounding device two 72, grounding device three 73, grounding device four 74, grounding device five 75, grounding device six 76, power frequency waveform monitoring module 8, power frequency transformer 9, DC-AC module 10, AC-DC module 11, power frequency source 12, power frequency controller 13, comprehensive ground voltage monitor 14, power supply separator 15, first switch 161, second switch 162, through hole 17, partition plate 18, contamination controller 19, contamination spray head 20, contamination concentration monitor 21, contamination sample box 22, contamination guide pipe 23, first signal transmitter 241, second signal transmitter 242. DETAILED DESCRIPTION
[0058] In order to enable persons skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art without creative work fall within the scope of protection of the present application.
[0059] For the convenience of understanding, please refer to Figure 1 The embodiments of the switch cabinet support particle adhesion degree evaluation method provided by the present application include:
[0060] Step 101, after spraying contamination in the switch cabinet to a preset contamination concentration, collecting contamination concentration measurement values in the switch cabinet at preset time intervals, and keeping the average value of the contamination concentration within the contamination concentration threshold range, the average value of the contamination concentration being calculated according to two contamination concentration measurement values.
[0061] The preset contamination concentration P0 and the preset time interval t0 can be set according to actual conditions, which are not limited here. The contamination concentration measurement value P iThe change of the pollution concentration of the switch cabinet can be calculated within the threshold range of the pollution concentration. The threshold range of the pollution concentration is calculated according to the preset pollution concentration, that is, the absolute error between the average value P of the two pollution concentration measurement values and the preset pollution concentration P0 is less than ΔP, that is, within the threshold range of the pollution concentration.
[0062] In addition, the change range of the preset pollution concentration is generally P0 to 5P0, and generally has an interval of |P0-5P0| / (n-1), wherein n is the number of obtained data groups. The pollution concentration is used to simulate the particle adhesion state on the support.
[0063] In step 102, when collecting different pollution concentration measurement values, a plurality of groups of comprehensive ground voltage measurement values of the support sample in the switch cabinet under the joint action of the preset power frequency voltage and the simulated lightning voltage are obtained. The preset power frequency voltage includes a first preset amplitude, the simulated lightning voltage includes a second preset amplitude, and corresponds to a simulated lightning moment.
[0064] Further, in step 102, the method comprises:
[0065] S1: generating a preset power frequency voltage with a first preset amplitude on the support sample in the switch cabinet through a power frequency transformer;
[0066] S2: when the real-time power frequency alternating wave phase generated by the power frequency transformer is monitored to be the simulated lightning moment, generating a simulated lightning voltage with a second preset amplitude on the support sample in the switch cabinet through a lightning simulator;
[0067] S3: when collecting different pollution concentration measurement values, obtaining a plurality of groups of comprehensive ground voltage measurement values under the joint action of the preset power frequency voltage and the simulated lightning voltage through a preset monitor.
[0068] In the case of setting different preset pollution concentrations, different pollution concentration measurement values of the switch cabinet can be measured, and at the same time, the comprehensive ground voltage measurement value U of the support sample under the joint action of the preset power frequency voltage and the simulated lightning voltage can be obtained through the preset monitor each time. R Therefore, if n groups of pollution concentration measurement values are obtained, n groups of comprehensive ground voltage measurement values can also be obtained.
[0069] The preset power frequency voltage and the simulated lightning voltage can be generated by a specific generator, and the amplitude can be controlled, that is, the first preset amplitude U S1 and the second preset amplitude U S2 can be set and controlled. In addition, it should be noted that the lightning simulator can generate the simulated lightning voltage only when the real-time power frequency alternating wave phase generated by the power frequency transformer is the simulated lightning moment, so as to realize the joint action of the power frequency voltage and the simulated lightning voltage on the support sample; that is, the real-time power frequency alternating wave phase is equal to the simulated lightning moment This value can be set in advance, so that different simulation lightning time can be set Thus, a plurality of different integrated ground voltage measurement values are obtained.
[0070] Step 103, using a preset optimization algorithm to optimize the initial voltage calculation model according to the integrated ground voltage measurement value, to obtain an integrated voltage calculation optimization model.
[0071] Further, step 103 comprises:
[0072] determining an initial integrated ground voltage calculation value according to the initial voltage calculation model;
[0073] constructing an optimization objective function according to the initial integrated ground voltage calculation value and the integrated ground voltage measurement value;
[0074] performing optimization calculation on the optimization objective function in an iterative optimization manner based on the preset optimization algorithm, to obtain an optimal error coefficient;
[0075] optimizing the initial voltage calculation model according to the optimal error coefficient, to obtain the integrated voltage calculation optimization model.
[0076] The initial voltage calculation model is expressed as:
[0077]
[0078] wherein, U P is the initial integrated ground voltage calculation value, is the simulation lightning time, h is the initial error coefficient, and η is an integral variable.
[0079] The preset optimization algorithm selected in this embodiment is a heuristic search algorithm, and the optimization objective function can be expressed as:
[0080]
[0081] wherein, f(h) represents the optimization objective function, n is the number of obtained measurement data groups, U Pi , and U Ri respectively represent the i-th initial integrated ground voltage calculation value and the integrated ground voltage measurement value.
[0082] In the iterative optimization process, a perturbed new solution h' is first generated, and the change of the optimization objective function is calculated:
[0083] Δf = f(h) - f(h')
[0084] If Δf≥0, the new solution is accepted, otherwise, the new solution is accepted according to the probability acceptance criterion; then, it is judged whether the iteration number is reached, if not, the perturbed new solution is continuously generated, if yes, it is further judged whether the termination condition is met, if yes, the optimal solution h0is obtained, if not, the iteration number is reset, the perturbed new solution is continuously generated, the iteration optimization is carried out, and the optimal solution, i.e. the optimal error coefficient h0, is obtained until the optimal solution is obtained.
[0085] The optimal error coefficient h0is substituted into the initial voltage calculation model, and the comprehensive voltage calculation optimization model is obtained:
[0086]
[0087] Wherein, U P is the comprehensive ground voltage calculation value.
[0088] Step 104, the time influence reference value and the voltage amplitude reference factor are calculated according to the simulated lightning moment, the first preset amplitude and the comprehensive ground voltage calculation value respectively, and the comprehensive ground voltage calculation value is determined according to the comprehensive voltage calculation optimization model.
[0089] The time influence reference value is calculated according to different simulated lightning moments and the comprehensive ground voltage calculation value U P , and the calculation process is expressed as:
[0090]
[0091] And the voltage amplitude reference factor is calculated according to the first preset amplitude U S1 and the comprehensive ground voltage calculation value U P , and the calculation process is expressed as:
[0092]
[0093] Step 105, the adhesion degree evaluation factor calculated according to the time influence reference value and the voltage amplitude reference factor is used to evaluate the adhesion degree of the support sample particles in the switch cabinet, and the evaluation result is obtained.
[0094] Further, step 105 comprises:
[0095] The adhesion degree evaluation factor is calculated according to the time influence reference value, the voltage amplitude reference factor and the preset weight;
[0096] The adhesion degree evaluation factor is compared with the preset evaluation reference range, and the evaluation result of the adhesion degree of the support sample particles is obtained.
[0097] The adhesion degree evaluation factor calculation process is described as:
[0098]
[0099] Wherein, W1, W2 is the preset weight, and W1+W2=1, and β is the adhesion evaluation factor.
[0100] The evaluation process according to the adhesion evaluation factor β and the preset evaluation reference range is as follows:
[0101] If β∈[0.9, 1.1], it indicates that the particle adhesion degree of the switch cabinet support part is very high, and the related support part needs to be replaced immediately.
[0102] If β∈[0.75, 0.9]∪[1.1, 1.25], it indicates that the particle adhesion degree of the switch cabinet support part reaches a certain level, and the maintenance needs to be arranged.
[0103] If β∈[1.25, +∞]∪[-∞, 0.75], it indicates that the particle adhesion degree of the switch cabinet support part is low, and no treatment is needed.
[0104] The switch cabinet support part particle adhesion degree evaluation method provided by the embodiment of the application provides an effective and feasible scheme for evaluating the particle adhesion degree of the support part based on measurement and calculation analysis. In the case that the dirt concentration in the switch cabinet is in a changing state, the comprehensive ground voltage measurement value of the support part sample in the switch cabinet under the joint action of the preset power frequency voltage and the simulated lightning strike voltage under different dirt concentrations is obtained. The adhesion evaluation factor is calculated based on the value, and the evaluation of the particle adhesion degree of the support part sample is realized. The measurement and calculation process is simple and easy to execute, and the factors are in accordance with the actual characteristics, so the reliability of the evaluation result can be ensured. Therefore, the embodiment of the application can solve the technical problem that the prior art lacks an analysis scheme for the particle adhesion of the switch cabinet support part.
[0105] For ease of understanding, please refer to Figure 2 The application provides an embodiment of a switch cabinet support part particle adhesion degree evaluation device, which comprises:
[0106] The dirt test unit 201 is configured to spray dirt in the switch cabinet to a preset dirt concentration, collect dirt concentration measurement values in the switch cabinet at preset time intervals, and keep the average value of the dirt concentration within a dirt concentration threshold range. The average value of the dirt concentration is calculated according to two dirt concentration measurement values.
[0107] The voltage collection unit 202 is configured to obtain a plurality of groups of comprehensive ground voltage measurement values of the support part sample in the switch cabinet under the joint action of the preset power frequency voltage and the simulated lightning strike voltage when collecting different dirt concentration measurement values. The preset power frequency voltage comprises a first preset amplitude, the simulated lightning strike voltage comprises a second preset amplitude, and the second preset amplitude corresponds to the simulated lightning strike moment.
[0108] The model optimization unit 203 is configured to optimize the initial voltage calculation model according to the comprehensive ground voltage measurement value by using a preset optimization algorithm, and obtain a comprehensive voltage calculation optimization model.
[0109] The evaluation calculation unit 204 is configured to calculate a time influence reference value and a voltage amplitude reference factor according to the simulated lightning moment, the first preset amplitude and the comprehensive ground voltage calculation value, respectively, wherein the comprehensive ground voltage calculation value is determined according to the comprehensive voltage calculation optimization model.
[0110] The evaluation analysis unit 205 is configured to evaluate the degree of particle adhesion of the support sample in the switch cabinet according to the adhesion degree evaluation factor calculated based on the time influence reference value and the voltage amplitude reference factor, and obtain an evaluation result.
[0111] Further, the voltage collection unit 202 is specifically configured to:
[0112] S1: A first preset amplitude of a preset power frequency voltage generated by a power frequency transformer is applied to the support sample in the switch cabinet.
[0113] S2: When it is monitored that the phase of a real-time power frequency alternating wave generated by the power frequency transformer is the simulated lightning moment, a second preset amplitude of a simulated lightning voltage generated by a lightning simulator is applied to the support sample in the switch cabinet.
[0114] S3: When different pollution concentration measurement values are collected, a plurality of sets of comprehensive ground voltage measurement values under the joint action of the preset power frequency voltage and the simulated lightning voltage are obtained by a preset monitor.
[0115] Further, the model optimization unit 203 is specifically configured to:
[0116] determine an initial comprehensive ground voltage calculation value according to the initial voltage calculation model;
[0117] construct an optimization objective function according to the initial comprehensive ground voltage calculation value and the comprehensive ground voltage measurement value;
[0118] perform optimization calculation on the optimization objective function by an iterative optimization manner based on a preset optimization algorithm, and obtain an optimal error coefficient;
[0119] optimize the initial voltage calculation model according to the optimal error coefficient, and obtain the comprehensive voltage calculation optimization model.
[0120] Further, the evaluation analysis unit 205 is specifically configured to:
[0121] calculate the adhesion degree evaluation factor according to the time influence reference value, the voltage amplitude reference factor and a preset weight;
[0122] The adhesion degree evaluation factor is compared with the preset evaluation reference range to obtain an evaluation result of the particle adhesion degree of the support sample.
[0123] For ease of understanding, please refer to Figure 3 The application provides a switch cabinet support particle adhesion degree test platform, comprising: a host computer, a power frequency alternating current unit, a lightning strike simulation unit, an information monitoring unit and a switch cabinet 5.
[0124] The host computer is connected with the power frequency alternating current unit, the lightning strike simulation unit, the information monitoring unit and the switch cabinet respectively.
[0125] The power frequency alternating current unit and the lightning strike simulation unit are electrically connected with the switch cabinet.
[0126] The power frequency alternating current unit, the lightning strike simulation unit, the information monitoring unit and the switch cabinet are grounded through a grounding device.
[0127] Further, the power frequency alternating current unit comprises a power frequency controller, a power frequency source, a DC-AC module, an AC-DC module, a power frequency transformer and a first switch.
[0128] The lightning strike simulation unit comprises a lightning strike simulation controller, a lightning strike simulator and a second switch.
[0129] The information monitoring unit comprises a first high-voltage measurement module, a second high-voltage measurement module, a comprehensive ground voltage monitor and a contamination concentration monitor.
[0130] The switch cabinet comprises a support sample, a through hole, a partition plate and a contamination spraying device, and the support sample is arranged on the partition plate through the through hole.
[0131] The contamination spraying device comprises a contamination spraying head, a contamination sample box, a contamination guide pipe and a contamination controller.
[0132] It should be noted that the input end of the power frequency transformer 9 is connected with the host computer 1 through the DC-AC module 10, the AC-DC module 11, the power frequency source 12 and the power frequency controller 13, the output end of the power frequency transformer 9 is connected with the input end of the power supply separator 15 and the input end of the power frequency waveform monitoring module 8 through the first switch 161, the signal end of the power frequency waveform monitoring module 8 is connected with the host computer 1, the output end of the power supply separator 15 is connected with the input end of the second high-voltage measurement module 42, the output end of the second high-voltage measurement module 42 is connected with the input end of the support sample 6, the first signal transmitter 241 is located at the output end of the second high-voltage measurement module 42, sends signals to the comprehensive ground voltage monitor 14, and the signal end of the comprehensive ground voltage monitor 14 is connected with the host computer 1.
[0133] The input end of the lightning strike simulator 3 is connected with the host computer 1 through the lightning strike simulation controller 2, the output end of the lightning strike simulator 3 is connected with the input end of the first high-voltage measurement module 41 through the second switch 162, the output end of the first high-voltage measurement module 41 is connected with the input end of the support sample 6, and the second signal transmitter 242 is located at the output end of the first high-voltage measurement module 41 to send a signal to the comprehensive ground voltage monitor 14.
[0134] It can be understood that the information monitoring unit further comprises the power frequency waveform monitoring module 8, and the power frequency waveform monitoring module 8 can detect the real-time power frequency alternating wave to obtain the real-time phase change, so as to control the lightning strike simulator to generate the simulated lightning strike voltage at the simulated lightning strike moment to realize the double-voltage acting on the support sample. In addition, the comprehensive ground voltage monitor 14 collects the voltage information through the first signal transmitter 241 and the second signal transmitter 242.
[0135] The contaminated sample box 22 is connected with the input end of the contaminated nozzle 20 through the contaminated pipe 23, the signal end of the contaminated nozzle 20 is connected with the host computer 1 through the contaminated controller 19, the contaminated concentration monitor 21 is connected with the host computer 1 through the contaminated controller 19, the support sample 6 passes through the through hole 17 located on the partition plate 18, and the support sample 6 is connected with the grounding device one 71.
[0136] The power frequency transformer 9, the power frequency waveform monitoring module 8, the power supply separator 15, the second high-voltage measurement module 42, the first high-voltage measurement module 41 and the lightning strike simulator 3 are connected with the grounding device two 72, the grounding device three 73, the grounding device four 74, the grounding device five 75 and the grounding device six 76 respectively.
[0137] In the specific test process, the first preset amplitude U S1 is set on the host computer 1, the host computer 1 sends an amplitude setting signal to the power frequency controller 13, the power frequency controller 13 controls the power frequency transformer 9 to generate a preset power frequency voltage with the amplitude of U S1 through the power frequency source 12, the AC-DC module 11 and the DC-AC module 10 of the commercial power supply, the first signal transmitter 241 sends waveform data to the comprehensive ground voltage monitor 14, and the phase of the real-time power frequency alternating wave is monitored on the host computer 1 through the power frequency waveform monitoring module 8, the second preset amplitude U S2 and the simulated lightning strike moment are set on the host computer 1. When the power frequency waveform monitoring module 8 transmits the real-time power frequency alternating waveform phase to the host computer 1, the host computer 1 sends an amplitude setting signal and a lightning strike moment signal to the lightning strike simulation controller 2, the lightning strike simulation controller 2 controls the lightning strike simulator 3 to generate a simulated lightning strike voltage with the amplitude of U S2 , and the second signal transmitter 242 sends waveform data to the comprehensive ground voltage monitor 14.
[0138] The process monitored by the contamination degree test is as follows: the main machine 1 sets the contamination concentration of the switch cabinet 5 as P0, and sends a contamination concentration setting signal to the contamination controller 19 and the contamination sample box 22, the contamination controller 19 opens the contamination spray head 20, the contamination sample box 22 sends the contamination to the contamination spray head 20 through the contamination guide pipe 23, and the contamination spray head 20 sprays the contamination into the switch cabinet 5 to adjust the contamination concentration in the switch cabinet 5; the contamination concentration monitor 21 measures the contamination concentration in the switch cabinet 5 every t0 seconds and sends the result to the contamination controller 19, and the contamination controller 19 calculates the average value of the two measurement results If the absolute error with P0 is less than ΔP, then is sent back to the main machine 1, and the contamination spray head 20 is closed.
[0139] The comprehensive voltage to ground monitor 14 monitors the comprehensive voltage to ground U of the support sample 6 under the action of the preset power frequency voltage and the simulated lightning strike voltage through the waveform data transmitted by the first signal transmitter 241 and the second signal transmitter 242. R Based on the data obtained by the above test, the evaluation factor is calculated, and then the evaluation result of the particle adhesion degree of the switch cabinet support can be obtained.
[0140] In the several embodiments provided in the present application, it should be understood that the disclosed device and method can be implemented in other ways. For example, the device embodiments described above are only schematic. The division of the units is only a logical function division. There can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or in other forms.
[0141] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.
[0142] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.
[0143] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, includes a plurality of instructions for executing all or part of the steps of the method described in various embodiments of the present application by a computer device (which can be a personal computer, a server, or a network device, etc.). The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (English full name: Read-Only Memory, English abbreviation: ROM), a random access memory (English full name: Random Access Memory, English abbreviation: RAM), a magnetic disk or an optical disk, and various media that can store program codes.
[0144] The above-described and the above embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A method for evaluating the degree of particle adhesion to a switchgear support member, characterized by, The method comprises the following steps: Spraying dirt in the switch cabinet to a preset dirt concentration, collecting dirt concentration measurement values in the switch cabinet at preset time intervals, and keeping the average value of the dirt concentration within the threshold range of the dirt concentration, wherein the average value of the dirt concentration is calculated according to two dirt concentration measurement values; When collecting different dirt concentration measurement values, obtain a plurality of comprehensive ground voltage measurement values of the support sample in the switch cabinet under the combined action of a preset power frequency voltage and a simulated lightning voltage, wherein the preset power frequency voltage comprises a first preset amplitude, the simulated lightning voltage comprises a second preset amplitude, and the simulated lightning time; Using a preset optimization algorithm to optimize the initial voltage calculation model according to the comprehensive ground voltage measurement values to obtain a comprehensive voltage calculation optimization model; According to the simulated lightning time, the first preset amplitude and the comprehensive ground voltage calculation value, the time influence reference value and the voltage amplitude reference factor are calculated respectively, and the comprehensive ground voltage calculation value is determined according to the comprehensive voltage calculation optimization model; According to the time influence reference value and the voltage amplitude reference factor, an adhesion degree evaluation factor is calculated to evaluate the particle adhesion degree of the support sample in the switch cabinet, and an evaluation result is obtained.
2. The method according to claim 1, wherein The method comprises the following steps: S1: generating a preset power frequency voltage with a first preset amplitude through a power frequency transformer and applying it to the support sample in the switch cabinet; S2: when the real-time power frequency alternating wave phase generated by the power frequency transformer is monitored to be the simulated lightning time, a simulated lightning voltage with a second preset amplitude is generated through a lightning simulator and applied to the support sample in the switch cabinet; S3: when collecting different dirt concentration measurement values, a plurality of comprehensive ground voltage measurement values under the combined action of the preset power frequency voltage and the simulated lightning voltage are obtained through a preset monitor.
3. The method according to claim 1, wherein The method comprises the following steps: According to the initial voltage calculation model, an initial comprehensive ground voltage calculation value is determined; According to the initial comprehensive ground voltage calculation value and the comprehensive ground voltage measurement value, an optimization objective function is constructed; Based on the preset optimization algorithm, the optimization objective function is optimized by iterative optimization to obtain an optimal error coefficient; According to the optimal error coefficient, the initial voltage calculation model is optimized to obtain a comprehensive voltage calculation optimization model.
4. The method according to claim 1, wherein The method comprises the following steps: According to the time influence reference value, the voltage amplitude reference factor and a preset weight, an adhesion degree evaluation factor is calculated. The adhesion degree evaluation factor is compared with a preset evaluation reference range, and an evaluation result of the particle adhesion degree of the support sample is obtained.
5. A switchgear support particle adhesion degree evaluation device characterized by comprising: The method comprises the steps of: The dirt test unit is used to spray dirt to a preset dirt concentration in the switch cabinet, collect dirt concentration measurement values in the switch cabinet at preset time intervals, and keep the average value of the dirt concentration within a threshold range of the dirt concentration, wherein the average value of the dirt concentration is calculated according to two dirt concentration measurement values. The voltage collection unit is used to obtain a plurality of groups of integrated ground voltage measurement values of the support sample in the switch cabinet under the joint action of a preset power frequency voltage and a simulated lightning voltage when different dirt concentration measurement values are collected, wherein the preset power frequency voltage comprises a first preset amplitude, the simulated lightning voltage comprises a second preset amplitude, and the simulated lightning time point is corresponding. The model optimization unit is used to optimize an initial voltage calculation model according to the integrated ground voltage measurement values by using a preset optimization algorithm, and obtain an integrated voltage calculation optimization model. The evaluation calculation unit is used to calculate a time point influence reference value and a voltage amplitude reference factor according to the simulated lightning time point, the first preset amplitude and the integrated ground voltage calculation value, respectively, wherein the integrated ground voltage calculation value is determined according to the integrated voltage calculation optimization model. The evaluation analysis unit is used to evaluate the particle adhesion degree of the support sample in the switch cabinet according to an adhesion degree evaluation factor calculated according to the time point influence reference value and the voltage amplitude reference factor, and obtain an evaluation result.
6. The switchgear support particle adhesion degree evaluation device according to claim 5, characterized by The voltage collection unit is specifically used for: S1: generating a preset power frequency voltage with a first preset amplitude by a power frequency transformer and applying the voltage to the support sample in the switch cabinet; S2: generating a simulated lightning voltage with a second preset amplitude by a lightning simulator and applying the voltage to the support sample in the switch cabinet when the real-time power frequency alternating wave phase generated by the power frequency transformer is monitored to be the simulated lightning time point; S3: obtaining a plurality of groups of integrated ground voltage measurement values under the joint action of the preset power frequency voltage and the simulated lightning voltage by a preset monitor when different dirt concentration measurement values are collected.
7. The switchgear support particle adhesion degree evaluation device according to claim 5, characterized by The model optimization unit is specifically used for: determining an initial integrated ground voltage calculation value according to an initial voltage calculation model; constructing an optimization objective function according to the initial integrated ground voltage calculation value and the integrated ground voltage measurement value; optimizing the optimization objective function by iterative optimization based on a preset optimization algorithm to obtain an optimal error coefficient; optimizing the initial voltage calculation model according to the optimal error coefficient to obtain an integrated voltage calculation optimization model.
8. The switchgear support particle adhesion degree evaluation device according to claim 5, characterized by, The evaluation analysis unit is specifically used for: calculating an adhesion degree evaluation factor according to the time point influence reference value, the voltage amplitude reference factor and a preset weight; comparing the adhesion degree evaluation factor with a preset evaluation reference range to obtain an evaluation result of the particle adhesion degree of the support sample.
9. A switchgear support particle adhesion degree test platform for implementing the switchgear support particle adhesion degree evaluation method according to any one of claims 1 to 4, characterized by, The method comprises the steps of: a host, a power frequency alternating unit, a lightning simulation unit, an information monitoring unit and a switch cabinet; the host is connected with the power frequency alternating unit, the lightning simulation unit, the information monitoring unit and the switch cabinet, respectively; The power frequency alternating current unit and the lightning strike simulation unit are electrically connected with the switch cabinet; The power frequency alternating current unit, the lightning strike simulation unit, the information monitoring unit and the switch cabinet are grounded through a grounding device.
10. The switchgear support particle adhesion test platform of claim 9, wherein, The power frequency alternating current unit comprises a power frequency controller, a power frequency source, a DC-AC module, an AC-DC module, a power frequency transformer and a first switch; The lightning strike simulation unit comprises a lightning strike simulation controller, a lightning strike simulator and a second switch; The information monitoring unit comprises a first high-voltage measurement module, a second high-voltage measurement module, a comprehensive ground voltage monitor and a contamination concentration monitor; The switch cabinet comprises a support sample, a through hole, a partition plate and a contamination spraying device, and the support sample is arranged on the partition plate through the through hole; The contamination spraying device comprises a contamination spraying head, a contamination sample box, a contamination guide pipe and a contamination controller.
Citation Information
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