CN116911512A - Method and system for detecting performance of insulating part of high-voltage switch cabinet in high-salt-fog environment - Google Patents
Method and system for detecting performance of insulating part of high-voltage switch cabinet in high-salt-fog environment Download PDFInfo
- Publication number
- CN116911512A CN116911512A CN202311186689.7A CN202311186689A CN116911512A CN 116911512 A CN116911512 A CN 116911512A CN 202311186689 A CN202311186689 A CN 202311186689A CN 116911512 A CN116911512 A CN 116911512A
- Authority
- CN
- China
- Prior art keywords
- evaluation index
- evaluation
- weight
- performance
- switch cabinet
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000011156 evaluation Methods 0.000 claims abstract description 151
- 238000009413 insulation Methods 0.000 claims abstract description 46
- 238000001514 detection method Methods 0.000 claims abstract description 45
- 239000011159 matrix material Substances 0.000 claims abstract description 44
- 230000007797 corrosion Effects 0.000 claims abstract description 36
- 238000005260 corrosion Methods 0.000 claims abstract description 36
- 150000003839 salts Chemical class 0.000 claims description 26
- 238000005259 measurement Methods 0.000 claims description 23
- 239000007921 spray Substances 0.000 claims description 20
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 10
- 238000010586 diagram Methods 0.000 claims description 6
- 239000012212 insulator Substances 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 description 17
- 238000012360 testing method Methods 0.000 description 17
- 238000006243 chemical reaction Methods 0.000 description 10
- 230000003750 conditioning effect Effects 0.000 description 8
- 239000013598 vector Substances 0.000 description 8
- 239000012267 brine Substances 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- HPALAKNZSZLMCH-UHFFFAOYSA-M sodium;chloride;hydrate Chemical compound O.[Na+].[Cl-] HPALAKNZSZLMCH-UHFFFAOYSA-M 0.000 description 4
- 229910001069 Ti alloy Inorganic materials 0.000 description 3
- 238000000605 extraction Methods 0.000 description 3
- 238000010438 heat treatment Methods 0.000 description 3
- 230000001681 protective effect Effects 0.000 description 3
- 239000012266 salt solution Substances 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- 238000005507 spraying Methods 0.000 description 3
- 238000005303 weighing Methods 0.000 description 3
- 230000001105 regulatory effect Effects 0.000 description 2
- 238000007493 shaping process Methods 0.000 description 2
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012850 discrimination method Methods 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 238000010292 electrical insulation Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 239000003595 mist Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 239000011780 sodium chloride Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Economics (AREA)
- Game Theory and Decision Science (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Computing Systems (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Algebra (AREA)
- Development Economics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Measurement Of Resistance Or Impedance (AREA)
Abstract
The invention belongs to the technical field of performance evaluation, and provides a method and a system for detecting the performance of a high-voltage switch cabinet insulating part in a high-salt-fog environment, which are used for solving the problem that the prior art cannot integrally reflect the performance detection of insulation, and acquiring data of the high-voltage switch cabinet insulating part to be detected on evaluation index items of electrical performance and salt-fog corrosion resistance; establishing a fuzzy evaluation matrix based on the evaluation level based on the data on each evaluation index item; calculating objective weights of all evaluation index items based on an entropy weight method, calculating subjective weights of all evaluation index items based on an order graph method, and calculating combination weights corresponding to all the evaluation index items according to the objective weights and the subjective weights of all the evaluation index items; multiplying the combined weight with the fuzzy evaluation matrix to obtain a performance evaluation matrix, and further obtaining a performance evaluation value of the high-voltage switch cabinet insulating piece to be tested; the performance of the high-voltage switch cabinet insulating part is comprehensively and accurately evaluated.
Description
Technical Field
The invention belongs to the technical field of performance evaluation, and particularly relates to a method and a system for detecting the performance of an insulating part of a high-voltage switch cabinet in a high-salt-fog environment.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Current high voltage switchgear is evolving towards high voltage, miniaturization and compactness, limiting the increase of insulation distance and increasing the requirements of electrical insulation performance. In recent years, problems caused by faults of solid insulating parts are more remarkable, and particularly under the condition of high salt fog, the performance of the insulating parts is seriously threatened by the salt fog, and faults such as surface flashover, body breakdown and the like are easy to occur. Therefore, the detection and analysis of the performance of the high-voltage switch cabinet insulating part in the high-salt-fog environment is an indispensable work.
The existing performance detection of the insulating part only detects and analyzes the electrical performance or salt spray corrosion resistance of the insulating part of the high-voltage switch cabinet, and the performance detection result of the insulating part cannot be reflected on the whole.
Therefore, how to comprehensively and accurately evaluate the performance of the high-voltage switch cabinet insulator is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides the method and the system for detecting the performance of the high-voltage switch cabinet insulating part in the high-salt-fog environment, which integrate evaluation index items of the high-voltage switch cabinet insulating part in electrical performance and salt-fog corrosion resistance, obtain a performance evaluation matrix by multiplying the calculated combination weight and the established fuzzy evaluation matrix, obtain the performance evaluation value of the high-voltage switch cabinet insulating part to be detected based on the performance evaluation matrix, and improve the accuracy of the performance evaluation of the high-voltage switch cabinet insulating part.
In order to achieve the above object, a first aspect of the present invention provides a method for detecting performance of an insulating member of a high-voltage switchgear in a high-salt-fog environment, including:
acquiring data of an evaluation index item of a high-voltage switch cabinet insulating piece to be tested on electrical performance and salt spray corrosion resistance;
establishing a fuzzy evaluation matrix based on the evaluation grade based on the acquired data on each evaluation index item;
calculating objective weights of all evaluation index items based on an entropy weight method, calculating subjective weights of all evaluation index items based on an order graph method, and calculating combination weights corresponding to all the evaluation index items according to the objective weights and the subjective weights of all the evaluation index items;
multiplying the combination weight of each evaluation index item by the established fuzzy evaluation matrix to obtain a performance evaluation matrix, and further obtaining the performance evaluation value of the high-voltage switch cabinet insulating piece to be tested.
The second aspect of the invention provides a system for detecting the performance of an insulating part of a high-voltage switch cabinet in a high-salt-fog environment, which comprises the following components: the device comprises a fog chamber, a high-voltage detection power supply, a temperature regulation module, an insulation resistance measurement module, a dielectric loss measurement module, an image module and a weight detection module, wherein the high-voltage detection power supply, the temperature regulation module, the insulation resistance measurement module, the dielectric loss measurement module, the image module and the weight detection module are arranged in the fog chamber;
the high-voltage detection power supply is used for applying high voltage to the high-voltage switch cabinet insulating part in the fog room;
the temperature adjusting module is used for adjusting the temperature in the fog room;
the insulation resistance measuring module is used for measuring the insulation resistance value of the high-voltage switch cabinet insulation piece in the fog room;
the dielectric loss measurement module is used for measuring dielectric loss of the high-voltage switch cabinet insulating piece in the fog room;
the image module is used for shooting images before and after corrosion of the insulating part of the high-voltage switch cabinet in the fog room;
the weight detection module is used for measuring the weight of the high-voltage switch cabinet insulating piece in the fog room.
The one or more of the above technical solutions have the following beneficial effects:
according to the invention, the evaluation index items of the high-voltage switch cabinet insulating part on the electrical performance and the salt spray corrosion resistance are synthesized, the combined weight of each evaluation index item is obtained by utilizing a weight calculation method combining an entropy weight method and an order diagram method, and the subjectivity of the order diagram method weighting and the fluctuation of the entropy weight method for calculating objective weight are reduced; the performance evaluation matrix obtained by multiplying the calculated combination weight and the established fuzzy evaluation matrix is used for obtaining the performance evaluation value of the high-voltage switch cabinet insulating part to be tested based on the performance evaluation matrix, and compared with the mode that the existing subjective weight and objective weight are combined to directly obtain the evaluation value, the accuracy of the performance evaluation of the high-voltage switch cabinet insulating part is improved.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a flow chart of a method for detecting the performance of an insulating part of a high-voltage switch cabinet in a high-salt-fog environment in the first embodiment of the invention;
fig. 2 is a diagram of a system for detecting performance of an insulating part of a high-voltage switch cabinet in a high-salt-spray environment in a second embodiment of the invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention.
Embodiments of the invention and features of the embodiments may be combined with each other without conflict.
Example 1
The embodiment discloses a high-voltage switch cabinet insulating part performance detection method under a high-salt-fog environment, which comprises the following steps:
acquiring data of an evaluation index item of a high-voltage switch cabinet insulating piece to be tested on electrical performance and salt spray corrosion resistance;
establishing a fuzzy evaluation matrix based on the evaluation grade based on the acquired data on each evaluation index item;
calculating objective weights of all evaluation index items based on an entropy weight method, calculating subjective weights of all evaluation index items based on an order graph method, and calculating combination weights corresponding to all the evaluation index items according to the objective weights and the subjective weights of all the evaluation index items;
multiplying the combination weight of each evaluation index item by the established fuzzy evaluation matrix to obtain a performance evaluation matrix, and further obtaining the performance evaluation value of the high-voltage switch cabinet insulating piece to be tested.
As shown in fig. 1, in this embodiment, a method for detecting performance of an insulating part of a high-voltage switch cabinet in a high-salt-fog environment specifically includes:
step 1: establishing a performance evaluation index setThe index set F contains 6 evaluation indexes, which are insulation resistance variation, insulation resistance variation time, dielectric loss angle variation, weight variation, corrosion time and corrosion area percentage, respectively.
Wherein the variation of the insulation resistance is the difference between the insulation resistance at the beginning of the test and the insulation resistance after 96 hours of the test; the insulation resistance change time is the time when the insulation resistance change rate exceeds 30%; the dielectric loss angle variation is the difference between the dielectric loss angle at the beginning of the test and the dielectric loss angle after 96 hours of the test; the weight change amount is the difference between the weight at the beginning of the test and the weight after 96 hours of the test; the corrosion time is the time when the insulator sample starts to corrode; the percentage of corrosion area is the percentage of the total area of the insulation coupon corrosion area after 96 hours of testing.
Step 2: performing standard normalization processing on the detection data of the evaluation index:obtaining a corresponding normalized matrix B= [ B ] 1 ，b 2 ，b 3 ，b 4 ，b 5 ，b 6 ]. Wherein (1)>Is an evaluation index->Is provided.
Step 3: establishing a comment set P= [ excellent general poor ], establishing membership functions of each comment grade, namely excellent, good, general and poor, substituting data of a normalized matrix B into the membership functions to obtain a fuzzy evaluation matrix U:
U=
the membership function of each comment level is:
（1）
（2）
（3）
（4）
wherein,,taking 0.09; c 1 、c 2 、c 3 、c 4 The discrimination threshold between the evaluation levels is 0.25, 0.5, 0.7, and 0.9 in this example.
Step 4: objective weight of each evaluation index item is calculated by utilizing improved entropy weight methodThe calculation formula is as follows:
（5）
（6）
（7）
wherein,,all->Average value after summation, +.>For the first weight value corresponding to the j-th evaluation index item,and the second weight value corresponding to the j-th evaluation index item.
The traditional entropy weighting method is used for the second weight valueWhen approaching 1 degreeWill give objective weight +.>Too low, unreasonable weighting, the improved entropy weighting method introduces a second weight average +.>The objective weight of the evaluation index item deviating from the average level is more reasonable.
Step 5: the subjective weight of each index is calculated by the method of the order graph, and the calculation process is as follows:
step 5-1: the importance of each evaluation index item is scored by 20 experts, and the score range is [0,5];
step 5-2: calculating the average value of the scores of all the evaluation index items;
step 5-3: and comparing the average value of each evaluation index item in pairs to establish a comparison matrix Z. The calculation formula of each element of the comparison matrix Z is as follows:
（8）
wherein,,is the mean value of the scores of the ith evaluation index item,/->Is the average of the j-th evaluation index item scores.
Step 5-4: calculating subjective weight values of all indexes:
（9）
wherein,,，/>the subjective weight value of the i-th evaluation index item.
Step 6: obtaining the combined weight vector of each index by utilizing a weight calculation method combining an improved entropy weight method and an order diagram methodThe calculation formula is as follows:
（10）
step 7: and carrying out product operation on the combined weight vector W and the fuzzy evaluation matrix U to obtain a performance evaluation vector K, wherein the calculation formula is as follows:。
step 8: the performance evaluation value of the insulating member is calculated, and the calculation formula is:
（11）
wherein,,k i refer to the first of the performance assessment vectors KiThe elements.
Example two
As shown in fig. 2, an object of this embodiment is to provide a high-voltage switch cabinet insulation performance detection device under a high-salt-fog environment, including: the device comprises a fog chamber, a high-voltage detection power supply, a temperature regulation module, an insulation resistance measurement module, a dielectric loss measurement module, an image module and a weight detection module, wherein the high-voltage detection power supply, the temperature regulation module, the insulation resistance measurement module, the dielectric loss measurement module, the image module and the weight detection module are arranged in the fog chamber;
the high-voltage detection power supply is used for applying high voltage to the high-voltage switch cabinet insulating part in the fog room;
the temperature adjusting module is used for adjusting the temperature in the fog room;
the insulation resistance measuring module is used for measuring the insulation resistance value of the high-voltage switch cabinet insulation piece in the fog room;
the dielectric loss measurement module is used for measuring dielectric loss of the high-voltage switch cabinet insulating piece in the fog room;
the image module is used for shooting images before and after corrosion of the insulating part of the high-voltage switch cabinet in the fog room;
the weight detection module is used for measuring the weight of the high-voltage switch cabinet insulating piece in the fog room.
The embodiment provides a high tension switchgear insulating part performance detection device under high salt fog environment, includes: fog room, salt fog generator, high voltage detection power, temperature regulation module, insulation resistance measurement module, dielectric loss measurement module, image shooting module, weight detection module and control cabinet.
Specifically, a high-voltage end is arranged on the left side of the fog chamber, the high-voltage end is connected with the output end of the high-voltage detection power supply, and a grounding end is arranged on the right side of the fog chamber; the high-voltage end and the grounding end in the fog chamber are connected by leads.
The high voltage detection power supply is responsible for applying high voltage to the insulating part so as to simulate a high voltage environment in the high voltage switch cabinet. The high-voltage detection power supply comprises a transformer, a capacitive voltage divider and a protection resistor which are connected in sequence. The input end of the capacitive voltage divider is connected with the control console, and the output end of the capacitive voltage divider is connected with the high-voltage end of the fog chamber. When the protective circuit works, the control console generates a voltage control signal to control the output voltage of the capacitive voltage divider, and the protective resistor plays a role of the protective circuit.
The temperature adjusting module is arranged at the center of the lower part of the interior of the fog chamber and is responsible for adjusting the temperature in the fog chamber. The temperature regulating module comprises a temperature sensor, a signal conditioning unit and an A/D conversion circuit which are sequentially connected, wherein the A/D conversion circuit is connected with a control console, and the control console is connected with a titanium alloy heating pipe. The temperature sensor is connected with the signal conditioning unit and the A/D conversion circuit is connected with the control console. The temperature sensor converts the temperature in the fog chamber into an electric signal, and uploads temperature information to the control console through the communication unit, the control console outputs a control signal to the titanium alloy heating pipe according to the temperature information, and the titanium alloy heating pipe heats the fog chamber according to the control signal.
The weight detection module is arranged at the right center of the upper part inside the fog chamber and is responsible for detecting the weight of the insulating piece to be detected. The weight detection module comprises a lifting appliance, a weighing sensor, a signal conditioning circuit and an A/D conversion circuit which are sequentially connected, and the A/D conversion circuit is connected with the control console. The lifting appliance is used for suspending an insulating piece to be detected, the weight of the insulating piece to be detected acts on the weighing sensor through the lifting appliance, the weighing sensor converts the weight into corresponding analog voltage signals, the analog voltage signals are amplified and filtered by the signal conditioning circuit, and the analog voltage signals are input into the A/D conversion circuit to be converted into digital signals and uploaded to the control console.
The salt fog generator comprises an air compressor, an air pipeline, a salt water bucket, a delivery pump, a salt water pipeline and 8 nozzles. The spray nozzles are respectively arranged at the front side and the rear side of the fog chamber, and each spray nozzle comprises a saline spray nozzle and an air spray nozzle which form an angle of 90 degrees. An air compressor is connected to the air nozzle via an air duct. The brine barrel is used for storing the brine solution, and is connected with the delivery pump, the brine pipeline and the brine nozzle in sequence, and the delivery pump is connected with the control console.
The working process is as follows: the control console sends a control signal to the delivery pump, and the delivery pump pumps the salt solution in the salt water bucket into a salt water pipeline and delivers the salt solution to the salt water nozzle; compressed air generated by the air compressor is delivered to the air nozzle through an air pipe. The compressed air rushes out of the air nozzle, and the salt solution sprayed out of the salt water nozzle is scattered into salt mist and is diffused into the whole fog chamber.
The insulation resistance detection unit comprises a current sensor, a signal conditioning circuit and an A/D conversion circuit which are sequentially connected, wherein the current sensor is connected with wires at two ends of an insulation piece to be detected, and the A/D conversion circuit is connected with a control console. The current sensor detects leakage current in the loop, the signal conditioning circuit amplifies and filters the leakage current signal, and the leakage current signal is converted into a digital signal through the A/D conversion circuit and is uploaded to the control console. The control console derives an insulation resistance value from the current and voltage in the high voltage loop.
The dielectric loss measurement module adopts a zero-crossing detection phase discrimination method to realize dielectric loss measurement; the dielectric loss measurement module comprises a signal extraction unit, a signal conditioning circuit, a zero-crossing comparison circuit, a shaping circuit and a logic phase discrimination circuit which are connected in sequence. The signal extraction unit is connected with the wires at two ends of the insulating piece to be detected, and the logic phase discrimination circuit is connected with the control console.
The working process of the dielectric loss measurement module is as follows: the signal extraction unit acquires a voltage signal and a current signal, the two signals are filtered and amplified by the signal conditioning circuit, the signals are input into the zero-crossing comparison circuit for zero-crossing comparison, the output waveform is shaped by the shaping circuit, and the waveform is input into the logic phase discrimination circuit for conversion into a time signal with a certain pulse width and is uploaded to the control console, and the control console calculates a dielectric loss angle according to the pulse width of the time signal.
The 2 image shooting modules are installed in the fog chamber in an inclined and diagonal mode, one of the two image shooting modules is installed at the upper left side edge, the shooting angle is 45 degrees below right, the other image shooting module is installed at the lower right side edge, and the shooting angle is 45 degrees above left. The image shooting module is responsible for obtaining corrosion images of the insulating piece to be detected and comprises a camera module and a communication unit which are connected, and the communication unit is connected with the control console. The camera module shoots a corrosion image of the insulating piece to be detected and uploads the corrosion image to the control console by the communication unit. And the control console performs identification processing on the corrosion image, and extracts the corrosion area and the number of corrosion pits of the insulating piece to be tested.
The functions of the console include control functions and calculation and evaluation functions. The control function includes: controlling the output voltage of the high-voltage detection power supply; and adjusting the internal temperature of the fog chamber.
The calculation and evaluation functions include: identifying a corrosion image, judging whether corrosion occurs, and if so, extracting the corrosion area of the insulating part; calculating the insulation resistance of the insulation piece according to the current data; calculating a dielectric loss angle according to the pulse width of the time signal; based on the detection data, the performance of the insulating part is evaluated by adopting a fuzzy performance evaluation algorithm, and an evaluation result is output.
The operation steps of the device for detecting the performance of the insulating part of the high-voltage switch cabinet in the high-salt-fog environment are as follows:
cleaning the surface of an insulating piece sample and drying the insulating piece sample;
suspending the insulating part sample on a lifting appliance of the weight detection module, connecting the left end and the right end of the insulating part sample with a wire in a fog chamber, closing a fog chamber door, and enabling the fog chamber to be in a sealing state; wherein, the insulator sample is not received the pulling force of control wire, and wire weight is ignored.
The test is started, and the specific steps are as follows: 1. starting a high-voltage detection power supply, and regulating the output voltage to 10KV through a control console; 2. starting a temperature adjusting module, and adjusting the temperature to 65 ℃ through a control console; 3. adding NaCI solution with the concentration of 5% into a salt water bucket, starting a salt fog generator, and setting a spraying mode to be continuous spraying, wherein the spraying time is 96 hours.
After the test is started, detection data acquisition is carried out, and the specific steps are as follows: the image shooting module is used for acquiring corrosion images, the acquisition frequency is 10 s/time, the control console is used for identifying the corrosion images, judging whether corrosion occurs or not, and if the corrosion occurs, extracting the corrosion area of the insulating part; the insulation resistance detection module collects current data in real time and uploads the current data to the control console, and the control console calculates the insulation resistance of the insulation piece according to the current data; the dielectric loss measurement module performs dielectric loss measurement, the obtained time signal is uploaded to a console, and the console calculates a dielectric loss angle of the insulating piece; the weight detection module collects weight data of the insulating piece in real time and uploads the weight data to the control console.
When the test time reaches 96 hours, the high-voltage detection power supply, the salt spray generator and the temperature regulation module are turned off, the control console adopts a fuzzy performance evaluation algorithm to evaluate the performance of the insulating part sample, and the evaluation result is output.
In this embodiment, the console adopts a fuzzy performance evaluation algorithm to evaluate the performance of the insulator sample, and specifically includes:
step 1: establishing a performance evaluation index setThe index set F contains 6 evaluation indexes, which are insulation resistance variation, insulation resistance variation time, dielectric loss angle variation, weight variation, corrosion time and corrosion area percentage, respectively.
Wherein the variation of the insulation resistance is the difference between the insulation resistance at the beginning of the test and the insulation resistance after 96 hours of the test; the insulation resistance change time is the time when the insulation resistance change rate exceeds 30%; the dielectric loss angle variation is the difference between the dielectric loss angle at the beginning of the test and the dielectric loss angle after 96 hours of the test; the weight change amount is the difference between the weight at the beginning of the test and the weight after 96 hours of the test; the corrosion time is the time when the insulator sample starts to corrode; the percentage of corrosion area is the percentage of the total area of the insulation coupon corrosion area after 96 hours of testing.
Step 2: performing standard normalization processing on the detection data of the evaluation index:obtaining a corresponding normalized matrix B= [ B ] 1， b 2， b 3， b 4， b 5， b 6 ]. Wherein (1)>Is an evaluation index->Is provided.
Step 3: establishing a comment set P= [ excellent general poor ], establishing membership functions of each comment grade, namely excellent, good, general and poor, substituting data of a normalized matrix B into the membership functions to obtain a fuzzy evaluation matrix U:
U=
the membership function of each comment level is:
（1）
（2）
（3）
（4）
wherein,,taking 0.09; c 1 、c 2 、c 3 、c 4 The discrimination threshold between the evaluation levels is 0.25, 0.5, 0.7, and 0.9 in this example.
Step 4: objective weight of each evaluation index item is calculated by utilizing improved entropy weight methodThe calculation formula is as follows:
（5）
（6）
（7）
wherein,,all->Average value after summation, +.>For the first weight value corresponding to the j-th evaluation index item,and the second weight value corresponding to the j-th evaluation index item.
The traditional entropy weighting method is used for the second weight valueWhen approaching 1, the objective weight is given>Too low, unreasonable weighting, the improved entropy weighting method introduces a second weightAverage value->The objective weight of the evaluation index item deviating from the average level is more reasonable.
Step 5: the subjective weight of each index is calculated by the method of the order graph, and the calculation process is as follows:
step 5-1: the importance of each evaluation index item is scored by 20 experts, and the score range is [0,5];
step 5-2: calculating the average value of the scores of all the evaluation index items;
step 5-3: and comparing the average value of each evaluation index item in pairs to establish a comparison matrix Z. The calculation formula of each element of the comparison matrix Z is as follows:
（8）
wherein,,is the mean value of the scores of the ith evaluation index item,/->Is the average of the j-th evaluation index item scores.
Step 5-4: calculating subjective weight values of all indexes:
（9）
wherein,,，/>the subjective weight value of the i-th evaluation index item.
Step 6: obtaining the combined weight vector of each index by utilizing a weight calculation method combining an improved entropy weight method and an order diagram methodThe calculation formula is as follows:
（10）
step 7: and carrying out product operation on the combined weight vector W and the fuzzy evaluation matrix U to obtain a performance evaluation vector K, wherein the calculation formula is as follows:。
step 8: the performance evaluation value of the insulating member is calculated, and the calculation formula is:
（11）
wherein,,k i refer to the first of the performance assessment vectors KiThe elements.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented by general-purpose computer means, alternatively they may be implemented by program code executable by computing means, whereby they may be stored in storage means for execution by computing means, or they may be made into individual integrated circuit modules separately, or a plurality of modules or steps in them may be made into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.
Claims (10)
1. The method for detecting the performance of the insulating part of the high-voltage switch cabinet in the high-salt-fog environment is characterized by comprising the following steps of:
acquiring data of an evaluation index item of a high-voltage switch cabinet insulating piece to be tested on electrical performance and salt spray corrosion resistance;
establishing a fuzzy evaluation matrix based on the evaluation grade based on the acquired data on each evaluation index item;
calculating objective weights of all evaluation index items based on an entropy weight method, calculating subjective weights of all evaluation index items based on an order graph method, and calculating combination weights corresponding to all the evaluation index items according to the objective weights and the subjective weights of all the evaluation index items;
multiplying the combination weight of each evaluation index item by the established fuzzy evaluation matrix to obtain a performance evaluation matrix, and further obtaining the performance evaluation value of the high-voltage switch cabinet insulating piece to be tested.
2. The method for detecting the performance of the high-voltage switch cabinet insulating part in the high-salt-fog environment according to claim 1, wherein the evaluation index item comprises an insulation resistance change amount, an insulation resistance change time, a dielectric loss angle change amount, a weight change amount, a corrosion time and a corrosion area percentage.
3. The method for detecting the performance of the high-voltage switch cabinet insulating part in the high-salt spray environment according to claim 1, wherein before establishing the fuzzy evaluation matrix based on the evaluation level based on the acquired data on each evaluation index item, the method further comprises: and carrying out normalization processing on the data on each evaluation index item by using an arctangent function to obtain a normalized matrix.
4. The method for detecting the performance of the high-voltage switch cabinet insulating part in the high-salt spray environment according to claim 3, wherein the fuzzy evaluation matrix is established based on the evaluation grade based on the acquired data on each evaluation index item, and specifically comprises the following steps:
establishing membership functions of all evaluation grades;
and substituting the values in the normalized matrix into the established membership functions of the evaluation grades according to the magnitude relation between the critical values of the evaluation grades and the values in the normalized matrix to obtain a fuzzy evaluation matrix.
5. The method for detecting the performance of the high-voltage switch cabinet insulating part in the high-salt spray environment according to claim 1, wherein the objective weight of each evaluation index item is calculated based on an entropy weight method, and is specifically as follows:
the ratio of the value after the data normalization processing on each evaluation index item to the sum of the values after the data normalization processing on all the evaluation index items is obtained, and a first weight value corresponding to the evaluation index item is obtained;
calculating the product of a first weight value corresponding to the evaluation index item and the logarithmic value of the first weight value, and obtaining a second weight value corresponding to the evaluation index item after taking the negative value of the ratio of the logarithmic value of the number of each evaluation index item;
and obtaining objective weights corresponding to all the evaluation index items based on the second weight values corresponding to all the evaluation index items, the sum value of the second weight values corresponding to all the evaluation index items and the summed average value of the second weight values corresponding to all the evaluation index items.
6. The method for detecting the performance of the high-voltage switch cabinet insulating part in the high-salt spray environment according to claim 1, wherein the subjective weight of each evaluation index item is calculated based on a priority diagram method, and is specifically as follows:
acquiring importance score values of each expert on each evaluation index item;
calculating the average value of the importance of each evaluation index item according to the importance score value of each expert on each evaluation index item;
comparing the average values of all the evaluation index items one by one, and establishing a comparison matrix;
and calculating the ratio of the sum value of the element values in the comparison matrix corresponding to each evaluation index item to the sum value of all the element values of the comparison matrix to obtain the subjective weight corresponding to each evaluation index item.
7. The method for detecting the performance of the high-voltage switch cabinet insulating part in the high-salt spray environment according to claim 1, wherein the combination weight corresponding to each evaluation index item is calculated according to the objective weight and the subjective weight of each evaluation index item, and specifically comprises the following steps:
and calculating the ratio of the subjective weight corresponding to each evaluation index item to the difference value of the subjective weight and the subjective weight, and the ratio of the sum value after the product of the subjective weight corresponding to all the evaluation index items and the objective weight is given out to obtain the combination weight corresponding to each evaluation index item.
8. The method for detecting the performance of the high-voltage switch cabinet insulating part in the high-salt spray environment according to claim 5, wherein the method is characterized in that the combination weight of each evaluation index item is multiplied by the established fuzzy evaluation matrix to obtain a performance evaluation matrix, and further the performance evaluation value of the high-voltage switch cabinet insulating part to be detected is obtained, and specifically comprises the following steps:
and calculating the product of the element value summation value in the performance evaluation matrix and the first weight value, and the ratio of the product of the element value summation value in the performance evaluation matrix and the element value summation value in the performance evaluation matrix to obtain the performance evaluation value of the high-voltage switch cabinet insulator to be tested.
9. High tension switchgear insulating part performance detecting system under high salt fog environment, its characterized in that includes: the device comprises a fog chamber, a high-voltage detection power supply, a temperature regulation module, an insulation resistance measurement module, a dielectric loss measurement module, an image module and a weight detection module, wherein the high-voltage detection power supply, the temperature regulation module, the insulation resistance measurement module, the dielectric loss measurement module, the image module and the weight detection module are arranged in the fog chamber;
the high-voltage detection power supply is used for applying high voltage to the high-voltage switch cabinet insulating part in the fog room;
the temperature adjusting module is used for adjusting the temperature in the fog room;
the insulation resistance measuring module is used for measuring the insulation resistance value of the high-voltage switch cabinet insulation piece in the fog room;
the dielectric loss measurement module is used for measuring dielectric loss of the high-voltage switch cabinet insulating piece in the fog room;
the image module is used for shooting images before and after corrosion of the insulating part of the high-voltage switch cabinet in the fog room;
the weight detection module is used for measuring the weight of the high-voltage switch cabinet insulating piece in the fog room.
10. The high-voltage switchgear insulation performance detection system under a high-salt spray environment according to claim 9, further comprising a salt spray generator, wherein the salt spray generator comprises an air compressor and a salt water bucket, and an air nozzle of the air compressor is perpendicular to a salt water nozzle of the salt water bucket.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311186689.7A CN116911512A (en) | 2023-09-14 | 2023-09-14 | Method and system for detecting performance of insulating part of high-voltage switch cabinet in high-salt-fog environment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311186689.7A CN116911512A (en) | 2023-09-14 | 2023-09-14 | Method and system for detecting performance of insulating part of high-voltage switch cabinet in high-salt-fog environment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116911512A true CN116911512A (en) | 2023-10-20 |
Family
ID=88360757
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311186689.7A Pending CN116911512A (en) | 2023-09-14 | 2023-09-14 | Method and system for detecting performance of insulating part of high-voltage switch cabinet in high-salt-fog environment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116911512A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106972481A (en) * | 2017-02-28 | 2017-07-21 | 国网江苏省电力公司常州供电公司 | Scale electrically-charging equipment accesses the security quantitative estimation method of active power distribution network |
| CN110259649A (en) * | 2019-07-31 | 2019-09-20 | 上海电气风电集团有限公司 | A kind of high-frequency impulse insulation performance testing device and its test method |
| CN111879687A (en) * | 2020-06-05 | 2020-11-03 | 中国民航大学 | Semi-open type in-situ salt spray corrosion device suitable for optical measurement mechanics |
| US20210373086A1 (en) * | 2020-05-26 | 2021-12-02 | Wuhan University | Transformer condition evaluation method combining fahp-dematel method and critic method |
| CN115575779A (en) * | 2022-10-24 | 2023-01-06 | 国网浙江省电力有限公司电力科学研究院 | Cable insulation performance evaluation method based on fuzzy theory and gray game theory |
| CN115856529A (en) * | 2022-11-25 | 2023-03-28 | 国网四川省电力公司营销服务中心 | CVT insulation aging state evaluation method based on PDC multi-feature-quantity weight |
-
2023
- 2023-09-14 CN CN202311186689.7A patent/CN116911512A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106972481A (en) * | 2017-02-28 | 2017-07-21 | 国网江苏省电力公司常州供电公司 | Scale electrically-charging equipment accesses the security quantitative estimation method of active power distribution network |
| CN110259649A (en) * | 2019-07-31 | 2019-09-20 | 上海电气风电集团有限公司 | A kind of high-frequency impulse insulation performance testing device and its test method |
| US20210373086A1 (en) * | 2020-05-26 | 2021-12-02 | Wuhan University | Transformer condition evaluation method combining fahp-dematel method and critic method |
| CN111879687A (en) * | 2020-06-05 | 2020-11-03 | 中国民航大学 | Semi-open type in-situ salt spray corrosion device suitable for optical measurement mechanics |
| CN115575779A (en) * | 2022-10-24 | 2023-01-06 | 国网浙江省电力有限公司电力科学研究院 | Cable insulation performance evaluation method based on fuzzy theory and gray game theory |
| CN115856529A (en) * | 2022-11-25 | 2023-03-28 | 国网四川省电力公司营销服务中心 | CVT insulation aging state evaluation method based on PDC multi-feature-quantity weight |
Non-Patent Citations (2)
| Title |
|---|
| 申思 等: ""公共建筑短期负荷预测仿真研究"", 《计算机仿真》, vol. 35, no. 5, pages 1 - 5 * |
| 白婧婧;王凤林;刘纯常;黎颖;李康宁;郑晓泉;: "开关柜绝缘隔板热老化状态综合评估方法研究", 电子世界, no. 07 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109164381B (en) | Method and device for online monitoring mechanical state and fault identification of high-voltage circuit breaker | |
| Yang et al. | Design a neural network for features selection in non-intrusive monitoring of industrial electrical loads | |
| CN109975665A (en) | A kind of local discharge signal in electric power equipment electric discharge type recognition methods | |
| CN105429135A (en) | Distinguishing and decision-making method and system for noninvasive power load decomposition | |
| CN106918787A (en) | A kind of electric automobile lithium battery residual charge evaluation method and device | |
| CN113589105B (en) | Internet of things-based building electrical fire series fault arc identification method and system | |
| CN107992665B (en) | Online fault diagnosis and analysis method for alternating current filter of extra-high voltage converter station | |
| CN107942210A (en) | The classification of transformer pulse electric current Partial Discharge and denoising method and system | |
| CN111027408A (en) | Load identification method based on support vector machine and V-I curve characteristics | |
| CN112505511A (en) | Non-invasive low-voltage fault arc detection and positioning method and system | |
| CN109031103B (en) | Performance degradation and state evaluation method for alternating current contactor | |
| CN113567794B (en) | Electric bicycle indoor charging identification method and system based on dynamic time warping | |
| CN110766313A (en) | Cable tunnel comprehensive state evaluation method based on operation and maintenance system | |
| CN116911512A (en) | Method and system for detecting performance of insulating part of high-voltage switch cabinet in high-salt-fog environment | |
| CN104215279B (en) | Online environment monitoring system and environment monitoring method | |
| CN117291046A (en) | Management method and system for reliability test of battery BMS based on big data | |
| CN112949497A (en) | GIS partial discharge mode identification method based on improved generalized regression neural network | |
| CN111352365B (en) | Dustproof ventilation type electric power and electrical equipment cabinet and control method | |
| CN106845441A (en) | One kind is full of Forecasting Methodology based on image recognition aircraft battery electricity | |
| CN115902557A (en) | Switch cabinet fault diagnosis processing method and device and nonvolatile storage medium | |
| CN116340810A (en) | Transformer outgoing line part partial discharge diagnosis method and device based on random forest | |
| CN114782699A (en) | Transformer mechanical fault diagnosis method based on motion deformation vibration type ODS | |
| CN111598420B (en) | Regional power quality assessment method considering sensitivity index of main equipment of user | |
| CN114002609A (en) | Power operation real-time supervision early warning system based on thing networking | |
| Jimenez et al. | Steady state signatures in the time domain for nonintrusive appliance identification |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |