Intelligent measurement switch performance detection method, device and system

Abstract

The invention relates to the technical field of performance detection, in particular to an intelligent measurement switch performance detection method, device and system, and the method specifically comprises the steps: obtaining various types of electrical parameter data of an intelligent measurement switch under each working condition, calculating the difference between the electrical parameter data and a corresponding rated value, recording the difference as an instantaneous deviation value, constructing a first characteristic value of each electrical parameter under each working condition based on the difference of the instantaneous deviation values under different working conditions, and analyzing the overall deviation under each working condition; the interference influence characteristic coefficient of each electrical parameter is constructed through the difference between the instantaneous deviation and the overall deviation of each electrical parameter, and the filtering window size of each electrical parameter under each working condition is constructed by combining the data quantity between adjacent zero point moments in a sequence formed by the instantaneous deviation values of all moments so as to carry out filtering. The performance test of the intelligent measurement switch is carried out through the filtered data; the interference influence of different interference sources under different working conditions is reduced, and the accuracy of intelligent measurement switch performance test analysis is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of performance detection, in particular to a smart measurement switch performance detection method, device and system. BACKGROUND

[0002] The smart measurement switch integrates complex functions such as high-precision metering, physical sensing and remote communication, is a key device in the power distribution network, and the stability of the smart measurement switch directly affects the safe operation of the power distribution network. Nowadays, the developed and used smart measurement switch can not only realize overload, short circuit and over / under voltage protection, but also can complete accurate sampling of current, voltage and power and support HPLC communication, topology identification and terminal temperature monitoring and other Internet of Things functions. In the production process of the smart measurement switch, performance detection is needed to avoid problems such as abnormal power grid line loss or electricity stealing and leakage detection caused by performance defects of the smart measurement switch, and to check in advance risks such as metering deviation, protection misoperation or refusal to operate and communication terminal, and to ensure the stability of the performance of the measurement switch in the production and use process.

[0003] Nowadays, in the production process of the smart measurement switch, the performance detection of the smart measurement switch is the core step to ensure the safe use of the smart measurement switch, and the accuracy of the detection result directly affects the stability of the operation of the smart measurement switch in the power distribution network. However, in the performance test process of the smart measurement switch, the traditional data acquisition and processing method is difficult to process the influence of different interference sources on the operation under different working conditions, so that the deviation between the test data and the actual operation condition is large, and the performance of the smart measurement switch cannot be accurately tested. Therefore, the current performance detection of the smart measurement switch cannot accurately obtain test data, resulting in lag and incompleteness of performance detection, so that the device cannot accurately evaluate the device performance under complex working conditions. SUMMARY

[0004] In order to solve the above technical problems, the purpose of the present application is to provide a smart measurement switch performance detection method, device and system, and the technical scheme adopted is as follows: In the first aspect, the present application provides a smart measurement switch performance detection method, which comprises the following steps: Respectively collecting each type of working condition standard signal input into the smart measurement switch, and collecting each type of electric parameter data output by the smart measurement switch; Based on the difference between each type of electric parameter data at each time and the corresponding rated value under any working condition, an instantaneous deviation feature sequence of each type of electric parameter under any working condition is constructed. Based on the difference between the instantaneous deviation feature sequences of the same type of electric parameter under different working conditions, a first feature value of each type of electric parameter under any working condition is constructed, and combined with the difference between each type of electric parameter data at each time and the corresponding rated value, an overall deviation sequence under any working condition is constructed; The interference influence characteristic coefficient of each electric parameter is constructed based on the similarity between the instantaneous deviation characteristic sequence and the overall deviation sequence and the difference between the zero time of the instantaneous deviation characteristic sequence and the overall deviation sequence; the window size of the filtering of each electric parameter data is constructed based on the number of data in each interval divided by the zero time in the instantaneous deviation characteristic sequence and in combination with the interference influence characteristic coefficient, and filtering is performed in combination with a filtering algorithm; The performance test of the intelligent measurement switch is performed through each electric parameter data filtered under each working condition.

[0005] In one embodiment, the acquisition process of the instantaneous deviation characteristic sequence is as follows: In any working condition, the difference between each electric parameter data at each time and the corresponding rated value is taken as the numerator, and the corresponding rated value is divided to obtain the instantaneous deviation value of each electric parameter at each time; the instantaneous deviation values of the same electric parameter at all times are combined to obtain the instantaneous deviation characteristic sequence of each electric parameter under any working condition.

[0006] In one embodiment, the acquisition process of the first characteristic value is as follows: The difference distance between the instantaneous deviation characteristic sequence of the same electric parameter in any working condition and in each of the other working conditions is calculated, and the average of all the difference distances of each electric parameter in the any working condition is taken as the first characteristic value of the electric parameter.

[0007] In one embodiment, the acquisition process of the overall deviation sequence is as follows: In any working condition, the instantaneous deviation values of all types of electric parameters at each time are weighted and fused by the first characteristic value to obtain the second characteristic value at each time. The sequence composed of the second characteristic values at all times under each working condition is taken as the overall deviation sequence of each working condition.

[0008] In one embodiment, the expression of the second characteristic value is as follows: , wherein indicates the second characteristic value at the tth time; n is the number of types of electric parameters; indicates the instantaneous deviation value of the ith electric parameter at the tth time; indicates the first characteristic value of the ith electric parameter; indicates the Softmax function.

[0009] In one embodiment, the acquisition process of the interference influence characteristic coefficient is as follows: The similarity between the overall deviation sequence of any working condition and the instantaneous deviation characteristic sequence of each electric parameter thereof is calculated as the correlation response characteristic value of each electric parameter under any working condition. In any working condition, a sequence composed of all zero time points on the fitting curve of the instantaneous deviation feature sequence of each electrical parameter is obtained, denoted as a first sequence; a sequence composed of all zero time points on the fitting curve of the overall deviation sequence is obtained, denoted as a second sequence; a difference distance between the first sequence and the second sequence is taken as a first feature coefficient of each electrical parameter; Based on the correlation response characteristic value and the first feature coefficient, an interference influence feature coefficient of each electrical parameter in any working condition is constructed.

[0010] In one embodiment, the interference influence feature coefficient is a product of the correlation response characteristic value and the first feature coefficient.

[0011] In one embodiment, an expression of the window size of the filtering is as follows: In the expression, W i represents the window size of the filtering of the i-th electrical parameter in the current working condition; represents the window size of the filtering of the i-th electrical parameter in the current working condition; represents a mean value of the number of data in all intervals in the instantaneous deviation feature sequence of the i-th electrical parameter in the current working condition; represents the interference influence feature coefficient of the i-th electrical parameter in the current working condition; represents a Softmax function.

[0012] In a second aspect, the embodiments of the present application further provide an intelligent measurement switch performance detection device, wherein a computer program is stored in the device, and the computer program is executed by a processor to realize the steps of the method in the first aspect.

[0013] In a third aspect, the embodiments of the present application further provide an intelligent measurement switch performance detection system, which comprises a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor executes the computer program to realize the steps of the method in the first aspect.

[0014] The embodiments of the present application have at least the following beneficial effects: The application avoids the problem that in the performance detection process of the intelligent measurement switch, the traditional data acquisition and processing method is difficult to adapt to different rated currents and setting values of switch models, the deviation between the test data under the influence of complex interference and the actual running conditions is large, and the performance of the intelligent measurement switch cannot be accurately tested. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0016] Figure 1 A step flow chart of an intelligent measurement switch performance detection method provided by an embodiment of the present application is shown in the figure. Figure 2 An interference influence characteristic coefficient acquisition process schematic diagram is shown in the figure. DETAILED DESCRIPTION

[0017] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined invention purposes, the following describes the specific implementation, structure, features and effects of the intelligent measurement switch performance detection method, device and system according to the present application in combination with the drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0019] The specific scheme of the intelligent measurement switch performance detection method, device and system provided in the application will be specifically described below with reference to the drawings.

[0020] Please refer to Figure 1 which shows the step flow chart of an intelligent measurement switch performance detection method provided in an embodiment of the application, and the method comprises the following steps: In the application, the performance test is carried out based on the functions and parameter requirements of the WCM4E type intelligent measurement switch, including a signal generating unit, a data acquisition unit, an environment simulation unit, a communication test unit and a main control and analysis unit; the precise test of the measurement switch in terms of measurement accuracy, protection function, communication function and environmental adaptability is realized.

[0021] Further, the signal transmitting unit can simulate different load working conditions and fault scenes, and then perform precision test and protection action verification under different load working conditions; the data acquisition unit acquires parameters output by the measurement switch under different working conditions, the parameters including electrical parameters, mechanical characteristic parameters and temperature parameters, and realizes real-time acquisition and transmission of data through the pluggable terminal adaptive switch second pulse, active / reactive power pulse and RS485 interface (B1 / A1, B2 / A2); the environment simulation unit includes a constant temperature and humidity chamber and a vibration table, which can reproduce the actual operating environment of the switch under different working conditions and verify its environmental adaptability; the communication test unit integrates an HPLC carrier simulator, a Bluetooth 5.0 module and an RS485 communication analyzer, which can detect the packet loss rate, delay and protocol compatibility of the switch under different communication modes; the main control and analysis unit can realize automatic configuration of test parameters, one-key start of test process and real-time storage and analysis of test data, and can also realize abnormal alarm and generate fault reports. The test process of the intelligent measurement switch based on the above test device is as follows: Step S1, respectively acquire each type of electrical parameter data output by the intelligent measurement switch after inputting the standard signal of each working condition into the intelligent measurement switch.

[0022] Different load working conditions and fault scenes are simulated by the signal generating unit, and the performance test data of the intelligent measurement switch under different working conditions are collected by the data acquisition unit, including electrical parameter data, mechanical performance characteristic parameter data and temperature parameter data. Specifically, first, in the measurement test phase, the high-precision signal generating unit inputs the standard signal of different working conditions to the switch, and the data acquisition unit synchronously acquires the electrical parameter data output by the switch, including current, voltage and power data; in the protection function test phase, the fault working conditions of overload, short circuit, overvoltage, undervoltage and open phase are simulated, the switch's on-off action signal is acquired at a sampling rate of 1MHz, the protection action time (mechanical characteristic parameter) is recorded, and the terminal temperature data is collected by the thermocouple.

[0023] Further, for the HPLC communication performance test, the communication test unit continuously sends test frames containing random data, collects the receiving response frames of the switch, and calculates the packet loss rate and average delay. The carrier signal strength during the communication process is recorded synchronously.

[0024] In step S2, the instantaneous deviation feature sequence of each electrical parameter under any working condition is constructed based on the difference between each electrical parameter data at any time and the corresponding rated value under any working condition. The first feature value of each electrical parameter under any working condition is constructed based on the difference between the instantaneous deviation feature sequences of the same electrical parameter under different working conditions. The overall deviation sequence under any working condition is constructed by combining the difference between each electrical parameter data at any time and the corresponding rated value.

[0025] The performance test data of the intelligent measurement switch under different working conditions is collected by the signal generating unit and the data acquisition unit. The collected data is transmitted to the main control and analysis unit in real time through Ethernet. CRC check is used in the transmission process to ensure data integrity. At the same time, data caching is performed locally to avoid data loss due to communication interruption.

[0026] In the performance test of the intelligent measurement switch, the performance test data caused by environmental interference has significant signal difference characteristics. Therefore, first, the non-periodic data such as mechanical characteristic parameters and temperature parameters under different fault working conditions are filtered by using Kalman filter to reduce the influence of environmental interference on mechanical characteristic analysis and end temperature characteristic analysis. The processing process of Kalman filter is known to those skilled in the art and will not be described here.

[0027] Further, due to the influence of electromagnetic interference under different working conditions, the electrical parameters may have sharp pulse and zero drift problems. Different interference sources may have superimposed high-frequency clutter effects on the collected signals under different working conditions. Therefore, during the performance test of the intelligent measurement switch, due to the superimposed influence of multiple interference sources under different working conditions, the deviation of the collected performance test data from the actual test data is large, which affects the performance test accuracy of the intelligent measurement switch. Based on the above analysis, the periodic data such as electrical parameters during the performance test of the intelligent measurement switch are filtered and optimized, which improves the accuracy of the performance test of the equipment. The specific analysis and processing process is as follows: (1) Firstly, for each kind of electrical parameter data collected under each working condition, the difference between the electrical parameter data at each time and the corresponding rated value is taken as the numerator, and the rated value of the electrical parameter is taken as the denominator to obtain the ratio as the instantaneous deviation value of the electrical parameter at each time; the instantaneous deviation values of the same kind of electrical parameter at all times under the working condition are sorted in time sequence to form a sequence as the instantaneous deviation characteristic sequence of each kind of electrical parameter under the working condition; further, for accurate analysis of the difference in the instantaneous deviation change of the electrical parameter under different working conditions, for each kind of electrical parameter under each working condition, the DTW distance between the instantaneous deviation characteristic sequence of the electrical parameter and the instantaneous deviation characteristic sequence of the same kind of electrical parameter under each other working condition is calculated, the greater the DTW distance, the greater the deviation characteristic difference caused by interference under the working condition change, and the mean of all the DTW distances of the electrical parameter under the working condition is taken as the first characteristic value of the electrical parameter under the working condition, the first characteristic value comprehensively reflects the time sequence change difference characteristic of the instantaneous deviation of the environmental interference under all working conditions, the greater the first characteristic value, the more significant the deviation change of the electrical parameter under the current working condition, indicating that the influence of the parameter deviation caused by interference in the intelligent measurement switch performance test process is more serious. Wherein, the DTW distance is a known technology, and the specific process will not be repeated.

[0028] It should be noted that for the calculation of the difference distance between the instantaneous deviation characteristic sequences of the same kind of electrical parameter, the present application only provides a distance measurement method, there are many existing distance measurement methods, and the implementer can also use other distance measurement algorithms to calculate the difference distance between the instantaneous deviation characteristic sequences of the same kind of electrical parameter, which is not specifically limited by the present application.

[0029] (2) Then, based on the above analysis, the instantaneous deviation of the electrical parameter data caused by interference in the performance test process under each working condition is comprehensively analyzed, specifically, taking any working condition as the current working condition, for each time of collecting electrical parameter under the current working condition, the second characteristic value of the instantaneous deviation of the electrical parameter caused by interference at each time is calculated respectively, and the relationship formula is: In the formula, The second characteristic value of the instantaneous deviation of the electrical parameter caused by interference at the tth time under the current working condition; n is the number of electrical parameter types; The instantaneous deviation value of the ith kind of electrical parameter at the tth time under the current working condition; The first characteristic value of the ith kind of electrical parameter affected by interference under the current working condition; represents a Softmax function, which is used to normalize the first feature value. The greater the normalized value of the first feature value, the greater the possibility of the corresponding electrical parameter having a transient deviation caused by interference under the current working condition; the greater the second feature value calculated by comprehensively analyzing the interference influence characteristics of different parameters at each time under the current working condition, the more significant the performance test transient comprehensive deviation of the intelligent measurement switch caused by interference at the corresponding time.

[0030] Further, the second feature values calculated at all times under each working condition are arranged in chronological order to form a sequence, which is taken as the overall deviation sequence of each working condition.

[0031] In step S3, under any working condition, a disturbance influence feature coefficient of each electrical parameter is constructed based on the similarity between the transient deviation characteristic sequence and the overall deviation sequence, and the difference between the zero time of the transient deviation characteristic sequence and the overall deviation sequence; a filtering window size of each electrical parameter data is constructed based on the number of data in each interval divided by the zero time in the transient deviation characteristic sequence, combined with the disturbance influence feature coefficient, and filtering is performed combined with a filtering algorithm.

[0032] Based on the above analysis, the overall deviation characteristics of the electrical parameters of the intelligent measurement switch performance test under the influence of interference under each working condition are analyzed. Specifically, the Pearson correlation coefficient between the transient deviation characteristic sequence of each electrical parameter under the current working condition and the overall deviation sequence of the current working condition is calculated, and the absolute value of the Pearson correlation coefficient is taken as the correlation response feature value of each electrical parameter under the current working condition. The greater the correlation response feature value, the more significant the consistency between the characteristics of the electrical parameters of the intelligent measurement switch affected by interference under the current working condition and the deviation caused by interference under the overall working condition. The Pearson correlation coefficient is a known technology, and the specific process will not be described again.

[0033] It should be noted that for the similarity between the transient deviation characteristic sequence and the overall deviation sequence, the present application only provides one similarity algorithm, and there are many existing similarity algorithms. The implementer can also use other similarity algorithms to calculate the similarity between the transient deviation characteristic sequence and the overall deviation sequence, which is not specifically limited by the present application.

[0034] Further, in the performance test process of the intelligent measurement switch, the transient deviation characteristic sequence of each electrical parameter under the current working condition and the overall deviation sequence of the current working condition are respectively taken as inputs, and a curve fitting is performed using the least square method, wherein the horizontal coordinate of the two-dimensional rectangular coordinate of the fitted curve is time, and the vertical coordinate is the transient deviation value; the zero-crossing point in each fitted curve, i.e., the point with a vertical coordinate of zero, is obtained, and the time corresponding to the zero-crossing point is taken as the zero time; If the zero time of the deviation of each parameter in time sequence is significantly different from the zero time of the overall deviation, the response difference of the deviation of the intelligent measurement switch under the influence of interference is greater, and therefore the zero times in the instantaneous deviation feature sequence of each electrical parameter are sorted in time sequence to obtain a sequence, which is recorded as a first sequence; the zero times in the overall deviation sequence are sorted in time sequence to obtain a sequence, which is recorded as a second sequence; the DTW distance between the first sequence and the second sequence is calculated, and the DTW distance is taken as a first feature coefficient of the interference of each electrical parameter under the current working condition. The greater the first feature coefficient is, the greater the time sequence difference of the data deviation caused by the interference during the intelligent measurement switch performance test is.

[0035] Further, the overall deviation sequence is obtained by comparing and analyzing the deviation features of each electrical parameter under different working conditions, and the response time between the deviation features of each electrical parameter under each working condition and the overall deviation is compared to reflect the response time difference features caused by the interference. The deviation features of each electrical parameter caused by the interference under each working condition are analyzed, and the interference feature coefficients of each electrical parameter under each working condition are calculated, and the relationship formula is: In the formula, represents the interference feature coefficient of the i-th electrical parameter data under the current working condition. represents the correlation response feature value of the i-th electrical parameter under the current working condition. represents the first feature coefficient of the i-th electrical parameter under the current working condition. The greater the first feature coefficient calculated is, the more serious the interference of the electrical parameter data under the corresponding working condition is, and the greater the influence on the data detection error is.

[0036] Further, based on the above analysis, for the instantaneous deviation feature sequence of each electrical parameter under the current working condition, the instantaneous deviation feature sequence is divided by the zero times in the sequence to obtain the data quantity in each interval of the division, and the average of the data quantities of all intervals in the sequence is taken as the initial value of the interval response of the change of each electrical parameter under the current working condition. The smaller the initial value is, the greater the influence interval of the deviation change caused by the interference is, and the greater the interference is. For the above division interval, for example, assuming that the zero times in the instantaneous deviation feature sequence are and , the start time and the end time are 0 and , respectively, three intervals are obtained by division, and then the data quantities contained in the three intervals are obtained.

[0037] ​Further, based on the characteristics of the deviation changes of each electrical parameter under the influence of interference in each working condition, the interference filtering processing of the electrical parameter data in each working condition is adjusted accordingly, improving the filtering processing effect of the electrical parameters in different working conditions in the intelligent measurement switch performance detection process. In this application, sliding mean filtering is used to filter the electrical parameter data in different working conditions. The window size for filtering each electrical parameter in each working condition is determined by the following relationship: , wherein, represents the window size for filtering the i-th electrical parameter in the current working condition; represents the initial value of the interval response of the i-th electrical parameter change in the current working condition; represents the interference influence characteristic coefficient of the i-th electrical parameter in the current working condition; represents the Softmax function. By analyzing the deviation change difference of each electrical parameter in different working conditions and the time difference of each electrical parameter compared to the overall deviation response in the same working condition, the significant degree of electrical parameter deviation change caused by interference is analyzed, The greater the significant degree of electrical parameter deviation change caused by interference, the greater the number of sampling data points, and the better the filtering processing effect of different interference sources on electrical parameter data in different working conditions.

[0038] Each electrical parameter data in each working condition is taken as the input of the filtering algorithm, and the window size calculated by the above method is taken as the filtering window size in the filtering algorithm. The output is the filtered electrical parameter data.

[0039] Step S4, the performance test of the intelligent measurement switch is performed through the filtered electrical parameter data in each working condition.

[0040] Based on the collected performance test data of the intelligent measurement switch, the main control and analysis unit tests and analyzes the measurement accuracy, protection action characteristics, communication performance characteristics and environmental adaptability characteristics. In this application, the performance characteristic test and analysis process of the intelligent measurement switch is as follows: S41, measurement accuracy characteristic test and analysis.

[0041] (1) In the present application, the voltage / current signal based on the 0.01 level standard source output is compared with the switch acquisition data for measurement accuracy analysis; specifically, first for current measurement accuracy, five typical load points of 0.004In, 0.01In, 0.05In, In and 1.2In are selected, and the relative error of the pre-processed measured current and the standard current is calculated under the power factor 0.5L (inductive), 1.0 (resistive), 0.5C (capacitive) working condition, and the test standard is: 0.004In≤I<0.01In, the error is less than or equal to ±0.75%, and 0.01In≤I≤Imax, the error is less than or equal to ±0.5%.

[0042] (2) For voltage measurement accuracy, the deviation of the pre-processed voltage value and the standard voltage is calculated under the voltage level of 0.65Un, Un, 1.2Un, and the error needs to be less than or equal to ±0.5%.

[0043] S42, protection action feature test analysis.

[0044] (1) In the present application, the pre-processed protection action time and the current and voltage trigger threshold data, switch protection setting value are analyzed; specifically, for the problem of overload long time delay protection: 1.05Ir and 1.3Ir currents are applied under different setting values, the actual action time is compared with the theoretical value, and the verification standard is: it needs to be greater than 2h not to trip when less than or equal to 1.05Ir, and less than 2h to trip when greater than 1.30Ir.

[0045] (2) For the problem of short-circuit short-time delay protection: Isd, 1.5Isd and Ii currents are applied under different setting values, the error of the action time between the inverse time limit section and the definite time limit section is compared, and the error is required to be ≤±10%.

[0046] (3) For the problem of short-circuit instantaneous protection: 0.85Ii and 1.15Ii currents are applied under different setting values, and the verification standard is: it needs to be not tripped when less than or equal to 0.85Ii, and less than 50ms tripped when greater than or equal to 1.15Ii; if the action delay is out of tolerance, the electromagnetic release attraction speed or electronic signal trigger delay needs to be further investigated; (4) For the overvoltage and under-voltage and open-phase protection in the test process, the deviation of the protection action time and the setting time is tested under different setting values, and the deviation is required to be ≤±10%.

[0047] S43, communication performance feature test analysis.

[0048] (1) In this application, the communication packet loss rate, delay, and protocol analysis success rate data collected are analyzed; specifically, for the test of HPLC communication, 1000 frames of test data are continuously sent under the condition of 2-12MHz operating bandwidth and ≤10Mbps communication rate, where the frame length is 1024 bytes, and the packet loss rate and average delay under 0-500m distance and different electromagnetic environments are counted, wherein the test standard is: the packet loss rate requirement is ≤0.1%, and the average delay requirement is ≤1s, and the different electromagnetic environments include but are not limited to no interference, power grid harmonic interference and wireless signal interference.

[0049] (2) For the test of RS485 communication, the bit error rate of data transmission is detected under the condition of 1200-9600bps different baud rate, and the test standard is: the bit error rate is ≤10⁻ 6 .

[0050] (3) For the test of Bluetooth 5.0 communication, the test equipment pairing success rate and the number of data transmission interruptions are detected within 10m effective communication distance to ensure that the communication function meets the remote operation and control requirements.

[0051] S44, environmental adaptability feature test analysis.

[0052] (1) In this application, the electrical parameter deviation, protection action consistency and communication stability data collected in the environmental simulation test are analyzed; specifically, in the temperature adaptability test analysis of the intelligent measurement switch, the intelligent measurement switch is placed in a temperature environment of -35℃, +35℃ and +70℃, and the measurement accuracy, protection action time deviation and communication packet loss rate increment are detected respectively, and the test standard is: the current error variation is ≤±0.2%, the short-circuit instantaneous action time variation is ≤5ms, and the HPLC packet loss rate rises by ≤0.05%, thereby verifying the influence of temperature on the performance of electronic components; if the Bluetooth communication is interrupted at low temperature, the low-temperature stability of the module power supply voltage needs to be checked.

[0053] (2) In the process of humidity adaptability test of the intelligent measurement switch, it needs to run continuously for 24h under the conditions of +23℃ / 83%RH and +40℃ / 93%RH high humidity environment, and monitor the changes of insulation resistance and terminal contact resistance, and the test standard is: the insulation resistance is required to be maintained ≥10MΩ and the terminal contact resistance is required to be maintained ≤50mΩ.

[0054] (3) In the process of vibration adaptability test of the intelligent measurement switch, 10-500Hz sine vibration is realized through a vibration table, and the vibration acceleration is 50m / s². After the vibration test starts, the mechanical characteristics and electrical performance of the switch are detected, and the test standard is: the opening and closing bounce times are required to be ≤3 times and the RS485 communication is required to be uninterrupted.

[0055] It should be noted that the performance characteristic test analysis process S41-S44 of the intelligent measurement switch is a known content, and the implementer can also use other ways to perform performance characteristic test, and the present application does not make specific limitations.

[0056] The acquisition process of the interference influence characteristic coefficient is shown in the schematic diagram as Figure 2

[0057] Based on the same inventive concept as the above method, the embodiments of the present application also provide an intelligent measurement switch performance detection device, the device stores a computer program, and the computer program is executed by the processor to realize the steps of the method in any one of the above intelligent measurement switch performance detection methods.

[0058] Based on the same inventive concept as the above method, the embodiments of the present application also provide an intelligent measurement switch performance detection system, including a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor executes the computer program to realize the steps of the method in any one of the above intelligent measurement switch performance detection methods.

[0059] In summary, the embodiments of the present application provide an intelligent measurement switch performance detection method, which first realizes data acquisition under different working conditions based on a signal generating unit and a data acquisition unit, and compares the deviation changes of each electrical parameter under different working conditions in view of the differences in the interference influence characteristics of different interference sources on different electrical parameters under different working conditions in the actual detection process of the intelligent measurement switch, and further combines the overall deviation change characteristics under each working condition to accurately analyze the response differences of the electrical parameter deviation under the influence of different interference sources for each working condition, thereby improving the accuracy of the analysis of the electrical parameter interference influence characteristics under each working condition, and further combining the analysis results to dynamically optimize and adjust the parameters in the electrical parameter preprocessing process under different working conditions, reducing the interference influence of different interference sources under different working conditions, and improving the accuracy of the intelligent measurement switch performance test analysis.

[0060] It should be noted that the above-mentioned embodiments of the present application are in the order of description only, and do not represent the advantages and disadvantages of the embodiments. And the above describes the specific embodiments of the present application. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0061] Each embodiment in the present application is described in a progressive manner, and the same or similar parts of each embodiment can be referred to each other, and each embodiment mainly describes the differences from other embodiments.

[0062] ​The above description is only the preferred embodiment of the present application, and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. made within the principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for intelligent measurement switch performance detection, characterized in that, The method comprises the following steps: Collecting each type of electrical parameter data output by the intelligent measurement switch after each type of standard signal is input into the intelligent measurement switch under each working condition respectively; Constructing an instantaneous deviation feature sequence of each type of electrical parameter under any working condition based on the difference between each type of electrical parameter data at each time and the corresponding rated value; constructing a first feature value of each type of electrical parameter under any working condition based on the difference between the instantaneous deviation feature sequences of the same type of electrical parameter under different working conditions; and constructing an overall deviation sequence under any working condition in combination with the difference between each type of electrical parameter data at each time and the corresponding rated value; Under any working condition, constructing an interference influence feature coefficient of each type of electrical parameter based on the similarity between the instantaneous deviation feature sequence and the overall deviation sequence and the difference between the zero time of the instantaneous deviation feature sequence and the overall deviation sequence; constructing a filtering window size of each type of electrical parameter data in combination with the interference influence feature coefficient based on the number of data in each interval divided by the zero time in the instantaneous deviation feature sequence; and performing filtering in combination with a filtering algorithm; Performing performance testing of the intelligent measurement switch by using each type of filtered electrical parameter data under each working condition. 2.The intelligent measurement switch performance detection method of claim 1, wherein The acquisition process of the instantaneous deviation feature sequence is as follows: Under any working condition, taking the difference between each type of electrical parameter data at each time and the corresponding rated value as a numerator, and dividing the corresponding rated value, to obtain an instantaneous deviation value of each type of electrical parameter at each time; and composing a sequence of the instantaneous deviation values of the same type of electrical parameter at all times to obtain an instantaneous deviation feature sequence of each type of electrical parameter under any working condition. 3.The intelligent measurement switch performance detection method of claim 1, wherein The acquisition process of the first feature value is as follows: Calculating the difference distance between the instantaneous deviation feature sequences of the same type of electrical parameter in any working condition and each other working condition; and taking the average of all the difference distances of each type of electrical parameter in the any working condition as a first feature value of each type of electrical parameter in the any working condition. 4.The intelligent measurement switch performance detection method of claim 2, wherein The acquisition process of the overall deviation sequence is as follows: Under any working condition, weighting and fusing the instantaneous deviation values of all types of electrical parameters at each time by using the first feature value to obtain a second feature value at each time; Composing a sequence of the second feature values at all times under each working condition as an overall deviation sequence of each working condition. 5.The intelligent measurement switch performance detection method of claim 4, wherein, The expression of the second feature value is as follows: , wherein, denotes the second feature value at the tth moment; n is the number of electrical parameter types; denotes the instantaneous deviation value of the ith electrical parameter at the tth moment; denotes the first feature value of the ith electrical parameter; denotes a Softmax function.

6. The method of claim 1, wherein the method further comprises: The acquisition process of the interference influence feature coefficient is as follows: Calculating the similarity between the overall deviation sequence of any working condition and the instantaneous deviation feature sequence of each type of electrical parameter thereof as a correlation response feature value of each type of electrical parameter under any working condition; Under any working condition, obtaining a sequence composed of all zero time points on a fitting curve of the instantaneous deviation feature sequence of each type of electrical parameter, denoted as a first sequence; obtaining a sequence composed of all zero time points on a fitting curve of the overall deviation sequence, denoted as a second sequence; and taking the difference distance between the first sequence and the second sequence as a first feature coefficient of each type of electrical parameter; Constructing an interference influence feature coefficient of each type of electrical parameter under any working condition based on the correlation response feature value and the first feature coefficient.

7. The method of claim 6, wherein the method further comprises: The interference influence feature coefficient is the product of the correlation response feature value and the first feature coefficient.

8. The method of claim 1, wherein the method further comprises: The expression of the filtering window size is as follows: wherein, represents the window size of the filtering of the i-th electrical parameter under the current working condition; represents the mean value of the number of data in all the intervals in the instantaneous deviation feature sequence of the i-th electrical parameter under the current working condition; represents the interference impact feature coefficient of the i-th electrical parameter under the current working condition; represents the Softmax function.

9. An intelligent measuring switch performance detection device, wherein a computer program is stored in the device, characterized in that, The computer program is executed by a processor to implement the steps of the intelligent measuring switch performance detection method according to any one of claims 1-8. 10.A smart measurement switch performance detection system, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, The processor executes the computer program to implement the steps of the intelligent measuring switch performance detection method according to any one of claims 1-8.

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