Intelligent measurement switch performance detection method, device and system

Abstract

The application relates to the technical field of performance detection, in particular to an intelligent measurement switch performance detection method, device and system, which specifically comprises the following steps: acquiring various types of electric parameter data of an intelligent measurement switch under each working condition, calculating the difference between the electric parameter data and corresponding rated values, recording the difference as an instantaneous deviation value, constructing a first characteristic value of each electric parameter under each working condition based on the difference between the instantaneous deviation values under different working conditions, and analyzing the overall deviation under various working conditions; constructing an interference influence characteristic coefficient of each electric parameter based on the difference between the instantaneous deviation and the overall deviation of each electric parameter, constructing a filter window size of each electric parameter under each working condition in combination with the data quantity between adjacent zero points in a sequence formed by instantaneous deviation values at all moments, performing filtering, and performing performance testing of the intelligent measurement switch through filtered data; the interference influence of different interference sources under different working conditions is reduced, and the accuracy of performance testing and analysis of the intelligent measurement switch is improved.

Description

Technical Field

[0001] This application relates to the field of performance testing technology, specifically to a method, device, and system for testing the performance of an intelligent measuring switch. Background Technology

[0002] Intelligent metering switches integrate complex functions such as high-precision metering, physical sensing, and remote communication, making them key equipment in power distribution networks. The stability of intelligent metering switches directly affects the safe operation of these networks. Currently developed and used intelligent metering switches not only provide overload, short-circuit, and over / under voltage protection, but also accurately sample electrical quantities such as current, voltage, and power, and support IoT functions such as HPLC communication, topology identification, and terminal temperature monitoring. Performance testing is necessary during the production of intelligent metering switches to prevent abnormal power grid line losses or missed electricity theft detection due to performance defects. This proactively identifies risks such as metering deviations, protection malfunctions or failures to operate, and communication terminal issues, ensuring the stability of the metering switches' performance during production and use.

[0003] Currently, in the production process of intelligent measurement switches, performance testing is a core step in ensuring their safe use. The accuracy of the test results directly affects the stability of intelligent measurement switches operating in the power distribution network. However, during the performance testing of intelligent measurement switches, traditional data acquisition and processing methods struggle to handle the impact of different interference sources on operating conditions, resulting in significant deviations between test data and actual operating conditions. This makes it impossible to accurately test the performance of intelligent measurement switches. Therefore, current performance testing of intelligent measurement switches struggles to accurately obtain test data, leading to lag and incompleteness in performance testing, making it impossible to accurately evaluate equipment performance under complex operating conditions. Summary of the Invention

[0004] To address the aforementioned technical problems, the purpose of this application is to provide a method, apparatus, and system for testing the performance of intelligent measuring switches. The specific technical solution adopted is as follows:

[0005] In a first aspect, embodiments of this application provide a method for testing the performance of an intelligent measurement switch, the method comprising the following steps:

[0006] After collecting standard signals for each operating condition and inputting them into the intelligent measuring switch, the intelligent measuring switch outputs various electrical parameter data.

[0007] Based on the difference between the data of each electrical parameter at each time under any operating condition and the corresponding rated value, an instantaneous deviation feature sequence of each electrical parameter under any operating condition is constructed; based on the difference between the instantaneous deviation feature sequences of the same electrical parameter under different operating conditions, a first feature value of each electrical parameter under any operating condition is constructed; and combined with the difference between the data of each electrical parameter at each time and the corresponding rated value, an overall deviation sequence under any operating condition is constructed.

[0008] Under any operating condition, based on the similarity between the instantaneous deviation feature sequence and the overall deviation sequence, and the difference between the zero point times of the instantaneous deviation feature sequence and the overall deviation sequence, an interference influence feature coefficient is constructed for each electrical parameter; based on the number of data in each interval divided by the zero point times in the instantaneous deviation feature sequence, combined with the interference influence feature coefficient, a filtering window size for each electrical parameter data is constructed, and filtering is performed in combination with a filtering algorithm;

[0009] The performance of the intelligent measurement switch is tested by filtering each type of electrical parameter data under various operating conditions.

[0010] In one embodiment, the process of obtaining the instantaneous deviation feature sequence is as follows:

[0011] Under any operating condition, the difference between the data of each electrical parameter at each moment and its corresponding rated value is used as the numerator, and divided by the corresponding rated value to obtain the instantaneous deviation value of each electrical parameter at each moment; the instantaneous deviation values ​​of the same electrical parameter at all moments are combined into a sequence to obtain the instantaneous deviation characteristic sequence of each electrical parameter under any operating condition.

[0012] In one embodiment, the process of obtaining the first feature value is as follows:

[0013] Calculate the difference distance between the instantaneous deviation characteristic sequences of the same electrical parameter in any working condition and in each other working condition, and take the mean of all the difference distances of each electrical parameter in any working condition as the first characteristic value of each electrical parameter in any working condition.

[0014] In one embodiment, the process of obtaining the overall deviation sequence is as follows:

[0015] Under any operating condition, the instantaneous deviation values ​​of all types of electrical parameters at each moment are weighted and fused using the first feature value to obtain the second feature value at each moment;

[0016] The sequence of the second characteristic values ​​at all times under each working condition is taken as the overall deviation sequence of each working condition.

[0017] In one embodiment, the expression for the second feature value is:

[0018] In the formula, This represents the second characteristic value at time t; n is the number of electrical parameter types; This represents the instantaneous deviation value of the i-th electrical parameter at time t; This represents the first characteristic value of the i-th electrical parameter; This represents the Softmax function.

[0019] In one embodiment, the process of obtaining the interference influence characteristic coefficients is as follows:

[0020] Calculate the similarity between the overall deviation sequence of any operating condition and the instantaneous deviation characteristic sequence of each electrical parameter, and use it as the associated response characteristic value of each electrical parameter under any operating condition;

[0021] Under any operating condition, the sequence consisting of all zero points on the fitting curve of the instantaneous deviation characteristic sequence of each electrical parameter is obtained and denoted as the first sequence; the sequence consisting of all zero points on the fitting curve of the overall deviation sequence is obtained and denoted as the second sequence; the difference distance between the first sequence and the second sequence is used as the first characteristic coefficient of each electrical parameter.

[0022] Based on the correlation response characteristic value and the first characteristic coefficient, the interference influence characteristic coefficient of each electrical parameter under any operating condition is constructed.

[0023] In one embodiment, the interference effect characteristic coefficient is the product of the correlated response characteristic value and the first characteristic coefficient.

[0024] In one embodiment, the expression for the filter window size is:

[0025] In the formula, This represents the filter window size for the i-th electrical parameter under the current operating condition; This represents the average number of data points in all intervals of the instantaneous deviation characteristic sequence of the i-th electrical parameter under the current operating condition; This represents the characteristic coefficient of the interference effect of the i-th electrical parameter under the current operating condition; This represents the Softmax function.

[0026] Secondly, embodiments of this application also provide an intelligent measurement switch performance testing device, wherein the device stores a computer program, and when the computer program is executed by a processor, it implements the steps of the method described in the first aspect above.

[0027] Thirdly, embodiments of this application also provide an intelligent measurement switch performance testing system, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the method described in the first aspect above.

[0028] The embodiments of this application have at least the following beneficial effects:

[0029] This application avoids the problem that traditional data acquisition and processing methods are difficult to adapt to switch models with different rated currents and setting values ​​during the performance testing of intelligent measurement switches. This leads to significant deviations between test data under complex interference and actual operating conditions, resulting in inaccurate performance testing of intelligent measurement switches. This application first achieves data acquisition under different operating conditions based on a signal generation unit and a data acquisition unit. Addressing the differences in interference characteristics of different sources on different electrical parameters under different operating conditions during actual testing of intelligent measurement switches, this application compares the deviation changes of each electrical parameter under different operating conditions. Furthermore, by combining the overall deviation change characteristics under each operating condition, it accurately analyzes the response differences of electrical parameter deviations under different interference sources, thereby improving the accuracy of the interference-affected characteristics analysis of electrical parameters under each operating condition. Finally, based on the analysis results, the parameters in the electrical parameter preprocessing process are dynamically optimized and adjusted under different operating conditions to reduce the interference impact of different sources and improve the accuracy of performance testing and analysis of intelligent measurement switches. Attached Figure Description

[0030] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 A flowchart illustrating the steps of a smart measurement switch performance testing method provided in one embodiment of this application;

[0032] Figure 2 This is a schematic diagram illustrating the process of obtaining the characteristic coefficients of interference effects. Detailed Implementation

[0033] To further illustrate the technical means and effects adopted by this application to achieve the intended inventive purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an intelligent measurement switch performance testing method, apparatus, and system proposed in this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0034] 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 this application pertains.

[0035] The following description, in conjunction with the accompanying drawings, details the specific scheme of the intelligent measurement switch performance testing method, device, and system provided in this application.

[0036] Please see Figure 1 The diagram illustrates a flowchart of a method for testing the performance of an intelligent measurement switch according to an embodiment of this application. The method includes the following steps:

[0037] This application conducts performance testing based on the functional and parameter requirements of the WCM4E type intelligent measurement switch, including a signal generation unit, data acquisition unit, environmental simulation unit, communication testing unit, and main control and analysis unit; to achieve accurate testing of the measurement switch's measurement accuracy, protection function, communication function, and environmental adaptability.

[0038] Furthermore, the signal transmission unit can simulate different load conditions and fault scenarios, thereby conducting accuracy tests and verifying protection actions under different load conditions. The data acquisition unit collects parameters output by the measuring switch under different operating conditions, including electrical parameters, mechanical characteristic parameters, and temperature parameters. Real-time data acquisition and transmission are achieved through the second pulse, active / reactive energy pulses, and RS485 interfaces (B1 / A1, B2 / A2) of the pluggable terminal adapter switch. The environmental 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 conditions and verify its environmental adaptability. The communication testing unit integrates an HPLC carrier simulator, a Bluetooth 5.0 module, and an RS485 communication analyzer, which can detect the packet loss rate, latency, and protocol compatibility of the switch under different communication methods. The main control and analysis unit can realize automatic configuration of test parameters, one-click start of the test process, and real-time storage and analysis of test data, while also realizing abnormal alarms and generating fault reports. The testing process of the intelligent measuring switch based on the above testing device is as follows:

[0039] Step S1: Collect standard signals for each operating condition and input them into the intelligent measuring switch, then collect various electrical parameter data output by the intelligent measuring switch.

[0040] The system simulates different load conditions and fault scenarios using a signal generation unit, and collects performance test data of the intelligent measuring switch under these simulated conditions using a data acquisition unit. This performance test data includes electrical parameter data, mechanical performance characteristic parameter data, and temperature parameter data. Specifically, in the metering test phase, a high-precision signal generation unit inputs standard signals for different operating conditions to the switch, and the data acquisition unit simultaneously collects the electrical parameter data output by the switch, including current, voltage, and power data. In the protection function test phase, by simulating overload, short circuit, overvoltage, undervoltage, and phase loss fault conditions, the switch's opening and closing action signals are acquired at a 1MHz sampling rate, the protection action time (mechanical characteristic parameters) is recorded, and terminal temperature data is collected using thermocouples.

[0041] Furthermore, for HPLC communication performance testing, the communication test unit continuously sends test frames containing random data, acquires the receive response frames of the acquisition switch, calculates the packet loss rate and average delay, and synchronously records the carrier signal strength during the communication process.

[0042] Step S2: Construct an instantaneous deviation feature sequence for each electrical parameter under any operating condition based on the difference between the data of each electrical parameter at each time under any operating condition and the corresponding rated value; construct a first feature value for each electrical parameter under any operating condition based on the difference between the instantaneous deviation feature sequences of the same electrical parameter under different operating conditions; and construct an overall deviation sequence under any operating condition by combining the difference between the data of each electrical parameter at each time and the corresponding rated value.

[0043] The system uses a signal generation unit and a data acquisition unit to collect performance test data of the intelligent measuring switch under different operating conditions. The collected data is transmitted to the main control and analysis unit in real time via Ethernet. CRC check is used during the transmission process to ensure data integrity. At the same time, data is cached locally to avoid data loss due to communication interruption.

[0044] In the performance testing of intelligent measurement switches, the performance test data exhibits significant signal differences due to environmental interference. Therefore, the non-periodic data, such as mechanical characteristic parameters and temperature parameters collected under different fault conditions, are first filtered using a Kalman filter to reduce the impact of environmental interference on the analysis of mechanical characteristics and terminal temperature characteristics. The Kalman filtering process is well-known to those skilled in the art and will not be elaborated further.

[0045] Furthermore, due to the influence of electromagnetic interference under different operating conditions, electrical parameters may exhibit spike pulses and zero-crossing drift. Moreover, the interference from different sources on signals acquired under different operating conditions can result in superimposed high-frequency noise. Therefore, during the performance testing of intelligent measurement switches, the superimposed influence of multiple interference sources under different operating conditions leads to a significant deviation between the acquired performance test data and the actual test data, thus affecting the accuracy of the intelligent measurement switch performance test. Based on the above analysis, periodic data such as electrical parameters during the performance testing process of intelligent measurement switches are filtered and optimized to improve the accuracy of the equipment performance test. The specific analysis and processing steps are as follows:

[0046] (1) First, for each electrical parameter data collected under each operating condition, the difference between the electrical parameter data and its corresponding rated value at each moment is used as the numerator, and the rated value corresponding to the electrical parameter is used as the denominator to obtain the ratio as the instantaneous deviation value of the electrical parameter at each moment; the instantaneous deviation values ​​of the same electrical parameter at all moments under the operating condition are sorted in chronological order, and the resulting sequence is used as the instantaneous deviation characteristic sequence of each electrical parameter under the operating condition; furthermore, in order to accurately analyze the differences in the instantaneous deviation changes of electrical parameters under different operating conditions, for each electrical parameter under each operating condition, the instantaneous deviation characteristic sequence of the electrical parameter is calculated and compared with... The DTW distance between the instantaneous deviation characteristic sequences of the same electrical parameter under each other operating condition is used. A larger DTW distance indicates a greater difference in deviation characteristics due to interference under changing operating conditions. The average of all DTW distances for that electrical parameter under that operating condition is taken as the first characteristic value of that electrical parameter under that operating condition. This first characteristic value comprehensively reflects the temporal variation characteristics of the instantaneous deviation under environmental interference under all operating conditions. A larger first characteristic value indicates a more significant change in the deviation of the electrical parameter under the current operating condition, indicating a more severe impact of parameter deviation caused by interference during the performance testing of the intelligent measurement switch. The DTW distance is a known technique, and the specific process will not be elaborated further.

[0047] It should be noted that this application provides only one distance measurement method for calculating the difference distance between instantaneous deviation characteristic sequences of the same electrical parameter. There are many existing distance measurement methods, and implementers may also use other distance measurement algorithms to calculate the difference distance between instantaneous deviation characteristic sequences of the same electrical parameter. This application does not impose any specific restrictions.

[0048] (2) Then, based on the above analysis, a comprehensive analysis is conducted on the instantaneous deviation caused by interference in the electrical parameter data during the performance test under each working condition. Specifically, any working condition is taken as the current working condition. For each moment when electrical parameters are collected under the current working condition, the second characteristic value of the instantaneous deviation of the electrical parameters caused by interference at each moment is calculated. The formula for its calculation is as follows:

[0049]

[0050] In the formula, The second characteristic value represents the instantaneous deviation of the electrical parameters at time t under the current operating condition caused by the interference; n is the number of electrical parameter types; This represents the instantaneous deviation value of the i-th electrical parameter at time t under the current operating condition; This represents the first characteristic value of the i-th electrical parameter under the current operating condition, indicating the impact of disturbance. The Softmax function is used here to normalize the first eigenvalue. The larger the normalized value of the first eigenvalue, the greater the likelihood of the corresponding electrical parameter's instantaneous deviation due to interference under the current operating condition. The second eigenvalue comprehensively analyzes the interference influence characteristics of different parameters at various times under the current operating condition. The larger the calculated second eigenvalue, the more significant the instantaneous comprehensive deviation in the performance test of the intelligent measuring switch caused by interference at the corresponding time.

[0051] Furthermore, the second characteristic values ​​calculated at all times under each working condition are arranged in chronological order, and the resulting sequence is used as the overall deviation sequence for each working condition.

[0052] Step S3: Under any operating condition, based on the similarity between the instantaneous deviation feature sequence and the overall deviation sequence, and the difference between the zero point time of the instantaneous deviation feature sequence and the overall deviation sequence, construct the interference influence feature coefficient for each electrical parameter; based on the number of data in each interval divided by the zero point time in the instantaneous deviation feature sequence, and combined with the interference influence feature coefficient, construct the filtering window size for each electrical parameter data, and perform filtering in combination with the filtering algorithm.

[0053] Based on the above analysis, the overall deviation characteristics of the electrical parameters of the intelligent measuring switch under interference under each operating condition are analyzed. Specifically, the Pearson correlation coefficient between the instantaneous deviation characteristic sequence of each electrical parameter under the current operating condition and the overall deviation sequence under the current operating condition is calculated. The absolute value of the Pearson correlation coefficient is used as the correlation response characteristic value of each electrical parameter under the current operating condition. The larger the correlation response characteristic value, the more significant the consistency between the characteristics of the electrical parameters of the intelligent measuring switch under the current operating condition affected by interference and the deviation caused by interference under the overall operating condition. The Pearson correlation coefficient is a well-known technique, and the specific process will not be elaborated further.

[0054] It should be noted that this application provides only one similarity algorithm for the similarity between the instantaneous deviation feature sequence and the overall deviation sequence. There are many existing similarity algorithms, and implementers may also use other similarity algorithms to calculate the similarity between the instantaneous deviation feature sequence and the overall deviation sequence. This application does not impose any specific restrictions.

[0055] Furthermore, during the performance testing of the intelligent measuring switch, the instantaneous deviation characteristic sequence of each electrical parameter under the current operating condition and the overall deviation sequence under the current operating condition are used as inputs, and curve fitting is performed using the least squares method. In the two-dimensional rectangular coordinate system of the fitted curve, the horizontal axis is time and the vertical axis is the instantaneous deviation value. The zero-crossing point in each fitted curve, that is, the point where the vertical axis is zero, is obtained, and the corresponding time is taken as the zero point time.

[0056] If the zero point of the time-series deviation of each parameter differs significantly from the zero point of the overall deviation, then the response difference of the intelligent measurement switch under the influence of interference will be greater. Therefore, the zero points in the instantaneous deviation characteristic sequence of each electrical parameter are sorted in chronological order, and the resulting sequence is denoted as the first sequence; the zero points in the overall deviation sequence are sorted in chronological order, and the resulting sequence is denoted as the second sequence; the DTW distance between the first sequence and the second sequence is calculated, and the DTW distance is used as the first characteristic coefficient of the interference influence of each electrical parameter under the current operating condition. The larger the first characteristic coefficient, the greater the time-series difference of the data deviation caused by interference during the performance test of the intelligent measurement switch.

[0057] Furthermore, by comparing and analyzing the deviation characteristics of each electrical parameter under different operating conditions, an overall deviation sequence was obtained. The response time of each electrical parameter under each operating condition was compared with the overall deviation to reflect the difference in response time caused by interference. Based on the above analysis, the characteristics of the deviation caused by interference of each electrical parameter under each operating condition were analyzed, and the interference influence characteristic coefficient of each electrical parameter under each operating condition was calculated. The formula for its calculation is as follows:

[0058]

[0059] In the formula, This represents the interference influence characteristic coefficient of the i-th type of electrical parameter data under the current operating condition; This represents the associated response characteristic value of the i-th electrical parameter under the current operating condition; This represents the first characteristic coefficient of the i-th electrical parameter under the current operating condition. The larger the calculated first characteristic coefficient, the more severe the interference affecting the electrical parameter data under the corresponding operating condition, and the greater the impact on data detection error.

[0060] Furthermore, based on the above analysis, for the instantaneous deviation characteristic sequence of each electrical parameter under the current operating condition, the instantaneous deviation characteristic sequence is divided by the zero point time in the sequence. The number of data in each interval is obtained, and the average of the number of data in all intervals of the sequence is used as the initial value of the interval response of each electrical parameter change under the current operating condition. The smaller the initial value, the larger the influence interval of the deviation change caused by the disturbance, and the greater the disturbance influence. For the above division interval, for example, suppose the zero point time in the instantaneous deviation characteristic sequence is... and The start time and end time are 0 and 0 respectively. Then the division is obtained Three intervals are used to obtain the number of data points contained in each of the three intervals.

[0061] Furthermore, based on the characteristics of the deviation changes of each electrical parameter under interference under each operating condition, the interference filtering processing of the electrical parameter data under each operating condition is specifically adjusted to improve the filtering effect of electrical parameters under different operating conditions during the performance testing of intelligent measurement switches. In this application, a moving average filter is used to filter the electrical parameter data under different operating conditions. The relationship for determining the window size for filtering each electrical parameter under each operating condition is as follows:

[0062] In the formula, This represents the window size for filtering the i-th electrical parameter under the current operating condition. This represents the initial value of the interval response to the i-th electrical parameter change under the current operating condition; This represents the characteristic coefficient of the interference effect of the i-th electrical parameter under the current operating condition; This represents the Softmax function. By combining the differences in deviation changes of each electrical parameter under different operating conditions and the time difference in the response of each electrical parameter relative to the overall deviation under the same operating condition, the significance of the changes in electrical parameter deviations caused by disturbances is analyzed. The larger the value, the more significant the change in electrical parameters caused by interference. Therefore, a larger number of sampling data points should be set to improve the filtering effect on the electrical parameter data under different operating conditions caused by different interference sources.

[0063] Each electrical parameter data under each operating condition is used as the input to the filtering algorithm. The window size calculated in the above manner is used as the filtering window size in the filtering algorithm, and the output is the filtered electrical parameter data.

[0064] Step S4: Perform performance testing of the intelligent measurement switch using the filtered electrical parameter data under various operating conditions.

[0065] Based on the performance test data of the collected intelligent measuring switch, the main control and analysis unit performs tests and analyses on the metering accuracy, protection action characteristics, communication performance characteristics, and environmental adaptability characteristics. The performance characteristic test and analysis process of the intelligent measuring switch in this application is as follows:

[0066] S41, Measurement accuracy characteristic test and analysis.

[0067] (1) In this application, the measurement accuracy is analyzed by comparing the voltage / current signal output by the 0.01-level standard source with the switch acquisition data. Specifically, for the measurement accuracy of current, five typical load points of 0.004In, 0.01In, 0.05In, In and 1.2In are selected, and the relative error between the pre-processed measured current and the standard current is calculated under the power factor of 0.5L (inductive), 1.0 (resistive) and 0.5C (capacitive) respectively. The verification standard is: when 0.004In≤I<0.01In, the error is less than or equal to ±0.75%, and when 0.01In≤I≤Imax, the error is less than or equal to ±0.5%.

[0068] (2) Regarding the accuracy of voltage measurement, under voltage levels of 0.65Un, Un, and 1.2Un, the deviation between the pre-processed voltage value and the standard voltage should be calculated, and the error should be less than or equal to ±0.5%.

[0069] S42, Protective Action Characteristic Test Analysis.

[0070] (1) In this application, the analysis is based on the protection action time after preprocessing, as well as the current and voltage trigger threshold data and the switch protection setting value. Specifically, for the problem of overload long delay protection: 1.05Ir and 1.3Ir currents are applied under different setting values, and the actual action time is compared with the theoretical value. The verification standard is: it meets the requirement that the tripping time should be greater than 2 hours when it is less than or equal to 1.05Ir and less than 2 hours when it is greater than 1.30Ir.

[0071] (2) Regarding the problem of short-circuit short-delay protection: Apply Isd, 1.5Isd and Ii currents respectively under different setting values, and compare the error of the action time between the inverse time limit segment and the time limit segment. The error is required to be ≤±10%.

[0072] (3) Regarding the problem of short-circuit instantaneous protection: Apply currents of 0.85Ii and 1.15Ii under different setting values, and verify the following criteria: the protection should not trip when the current is less than or equal to 0.85Ii, and trip in less than 50ms when the current is greater than or equal to 1.15Ii; if the action delay exceeds the tolerance, the electromagnetic trip unit's engagement speed or electronic signal triggering delay needs to be further investigated.

[0073] (4) For over-voltage and under-voltage and phase loss protection during the test, the deviation between the test protection action time and the setting time under different setting values ​​is required to be ≤ ±10%.

[0074] S43, Communication Performance Characteristics Test and Analysis.

[0075] (1) The analysis in this application is based on the collected data of communication packet loss rate, delay and protocol parsing success rate; specifically, for the test of HPLC communication, under the conditions of 2-12MHz working bandwidth and ≤10Mbps communication rate, 1000 frames of test data are continuously sent, with a frame length of 1024 bytes, and the packet loss rate and average delay are statistically analyzed at a distance of 0-500m and under different electromagnetic environments. The test standard is: the packet loss rate requirement is ≤0.1% and the average delay requirement is ≤1s. The different electromagnetic environments include but are not limited to no interference, power grid harmonic interference and wireless signal interference.

[0076] (2) For RS485 communication testing, the bit error rate of data transmission was tested under different baud rates from 1200 to 9600 bps. The test standard was: the bit error rate ≤ 10⁻ 6 .

[0077] (3) For Bluetooth 5.0 communication testing, the test was conducted within an effective communication distance of 10m to detect the pairing success rate of the test device and the number of data transmission interruptions, to ensure that the communication function meets the requirements of remote operation and maintenance and control.

[0078] S44, Environmental Adaptability Characteristic Test and Analysis.

[0079] (1) In this application, the analysis is based on the electrical parameter deviation, protection action consistency and communication stability data collected in the environmental simulation test; specifically, in the temperature adaptability test analysis of the intelligent measurement switch, the intelligent measurement switch is placed in temperature environments of -35℃, +35℃ and +70℃, and the measurement accuracy, protection action time deviation and communication packet loss rate increment are detected respectively. The test standard is: the change in current error ≤ ±0.2%, the change in short-circuit instantaneous action time ≤ 5ms and the increase in HPLC packet loss rate ≤ 0.05%, thereby verifying the influence of temperature on the performance of electronic components; if Bluetooth communication is interrupted at low temperature, the low temperature stability of the module power supply voltage needs to be checked.

[0080] (2) During the humidity adaptability test of the intelligent measurement switch, it is necessary to run continuously for 24 hours under high humidity conditions of +23℃ / 83%RH and +40℃ / 93%RH, and monitor the changes in insulation resistance and terminal contact resistance. The test standard is that the insulation resistance should be kept ≥10MΩ and the terminal contact resistance should be kept ≤50mΩ.

[0081] (3) During the vibration adaptability test of the intelligent measuring switch, a 10-500Hz sinusoidal vibration is achieved through a vibration table, with a vibration acceleration of 50m / s². After the vibration test begins, the mechanical characteristics and electrical performance of the switch are tested. The test standard is: the number of opening and closing bounces is required to be ≤3 times and the RS485 communication is uninterrupted.

[0082] It should be noted that the performance characteristic test and analysis process S41-S44 of the above-mentioned intelligent measurement switch is known content, and implementers may also use other methods to conduct performance characteristic tests. This application does not impose specific restrictions.

[0083] A schematic diagram illustrating the process of obtaining the characteristic coefficients of interference effects is shown below. Figure 2 As shown.

[0084] Based on the same inventive concept as the above method, this application embodiment also provides an intelligent measurement switch performance testing device, wherein the device stores a computer program, and when the computer program is executed by a processor, it implements the steps of any one of the above-described intelligent measurement switch performance testing methods.

[0085] Based on the same inventive concept as the above method, this application embodiment also provides an intelligent measurement switch performance testing system, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described intelligent measurement switch performance testing methods.

[0086] In summary, this application provides a method for testing the performance of an intelligent measurement switch. First, it uses a signal generation unit and a data acquisition unit to collect data under different operating conditions. Then, considering the differences in the interference effects of different interference sources on different electrical parameters under different operating conditions during the actual testing of the intelligent measurement switch, it compares the deviation changes of each electrical parameter under different operating conditions. Furthermore, by combining the overall deviation change characteristics under each operating condition, it accurately analyzes the response differences of electrical parameter deviations under different interference sources, thereby improving the accuracy of the analysis of the interference effects on electrical parameters under each operating condition. Finally, based on the analysis results, it dynamically optimizes and adjusts the parameters in the electrical parameter preprocessing process under different operating conditions, reducing the interference effects of different interference sources under different operating conditions and improving the accuracy of the performance testing and analysis of the intelligent measurement switch.

[0087] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this application. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0088] The various embodiments in this application are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0089] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the principles of this application should be included within the protection scope of this 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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