A system and method for testing automatic verification and dispatching strategy of electric energy meter full performance test

Abstract

The present invention relates to the technical field of instrument testing, and discloses a system and method for testing a scheduling strategy for automatic calibration of a full performance test of an electric energy meter; the system comprises marking a target node from a regional node, planning a scheduling strategy route, constructing a scheduling strategy testing platform based on a virtual simulation technology, collecting performance test parameters of the scheduling strategy route, calculating the test reliability, and screening out a target route from the scheduling strategy route; compared with the prior art, the present invention can avoid the phenomenon of repeated calibration of an effective electric energy meter during automatic calibration of a full performance test, thereby shortening the time taken for automatic calibration, and at the same time, utilizing simulation to achieve a fast and accurate scheduling effect of automatic calibration of a full performance test of an effective electric energy meter, thereby providing a good foundation for subsequent automatic calibration of a real full performance test of an electric energy meter, thereby avoiding the phenomenon of disordered calibration sequence and erroneous calibration results of an electric energy meter during automatic calibration of a full performance test.

Description

Technical Field

[0001] The present invention relates to the technical field of instrument testing, and more specifically, to an automatic verification and dispatching strategy testing system and method for full performance testing of electric energy meters. Background Art

[0002] As an instrument for measuring electric energy, the comprehensiveness and accuracy of the performance of the electric energy meter is crucial to ensure the normal operation of the power system and the fairness of electricity consumption by users. In large enterprises and power consumption sites, multiple electric energy meters usually need to be deployed. In order to timely and accurately understand the performance status of each electric energy meter, it is necessary to perform full-performance automatic calibration operations on the electric energy meters regularly. When multiple electric energy meters are automatically calibrated, different scheduling sequences of the electric energy meter automatic calibration need to be tested to ensure the stability of the full-performance automatic calibration operation of the electric energy meters.

[0003] The patent application with reference publication number CN103246817A discloses a smart home lighting control method and device, which provides guidance for planning, design, equipment selection, manufacturing, installation, commissioning, operation and other links through the study of automatic detection and scheduling strategies of electric energy meters, provides a scientific basis for the formulation of relevant technical standards and operation and maintenance strategies, can effectively reduce construction risks and costs, shorten the construction period, and provide a digital environment for automatic detection of electric energy meters, which is convenient, fast and cheap, enriches the research methods of automatic verification systems of electric energy meters, and has good application prospects;

[0004] The prior art has the following deficiencies:

[0005] When conducting reliability tests on existing automatic calibration and scheduling strategies, the reliability test operations of different automatic calibration and scheduling strategies are implemented by randomly screening and scheduling electric energy meters. When the number of electric energy meters participating in the scheduling test is large, the random screening and scheduling methods are prone to disorder and confusion in the automatic calibration of the target electric energy meters, which may cause the electric energy meters to be easily missed or re-checked, reducing the accuracy of the automatic calibration of the electric energy meters' full performance. At the same time, it also prolongs the time used for the automatic calibration of the electric energy meters' full performance, reducing the scheduling reliability of the automatic calibration of the electric energy meters' full performance.

[0006] In view of this, the present invention proposes an automatic verification and dispatching strategy testing system and method for full performance testing of electric energy meters to solve the above problems. Summary of the invention

[0007] In order to overcome the above-mentioned defects of the prior art and to achieve the above-mentioned purpose, the present invention provides the following technical solution: a system for automatically verifying the dispatching strategy of the full performance test of an electric energy meter, comprising:

[0008] The verification area drawing module is used to mark the area nodes on the electric energy meter distribution map and draw the verification area based on the area nodes;

[0009] The scheduling strategy route module is used to mark the target node from the regional node and plan the scheduling strategy route in the verification area based on the route planning criteria. The target node includes the starting node and the ending node.

[0010] The test platform construction module is used to construct a simulation platform based on virtual simulation technology, mark the test site of the simulation platform, and import the scheduling strategy route into the test site to generate a scheduling strategy test platform;

[0011] The reliability calculation module is used to collect the performance test parameters of the scheduling strategy route in the scheduling strategy test platform and calculate the test reliability of the scheduling strategy route. The performance test parameters include response feedback time, temperature rise rate and anti-interference stability;

[0012] The target route screening module is used to screen out the target route from the dispatch strategy route and control the electric energy meter to perform full performance automatic calibration according to the target route.

[0013] Furthermore, the marking method of the regional node includes:

[0014] Obtain the current electric energy meter distribution map through the database, and mark i electric energy meters in the electric energy meter distribution map one by one;

[0015] Query the operating status of i electric energy meters in sequence, and record the electric energy meters in normal operating status as effective electric energy meters, and obtain p effective electric energy meters;

[0016] Mark the locations of p effective electric energy meters one by one on the electric energy meter distribution map, record the locations of the effective electric energy meters as regional nodes, and obtain p regional nodes;

[0017] Methods for drawing the verification area include:

[0018] Draw circles with p regional nodes as the center, enclose the p regional nodes in the circles, and obtain p regional circles;

[0019] The radii of the p area circles are measured one by one using a scale, the areas of the p area circles are calculated based on the circle area calculation formula, and the area circle corresponding to the minimum area value is recorded as the inspection area.

[0020] Furthermore, the marking method of the start node and the end node includes:

[0021] The real-time operating temperatures of p effective electric energy meters are detected one by one by a temperature sensor to obtain p real-time temperature values;

[0022] The moment when the real-time temperature value reaches the preset temperature lower limit for the first time is recorded as the starting moment, and p starting moments are obtained;

[0023] The duration between the p starting moments and the current moment is recorded as the running time, and p running times are obtained;

[0024] Obtain the temperature values ​​of p effective electric energy meters at the current moment through the temperature sensor, obtain p operating temperatures, compare the p operating time with the p operating temperatures one by one, and obtain p operating indexes;

[0025] The expression for the running index is:

[0026]

[0027] In the formula, YX zsp is the operating index of the pth effective energy meter, YX wdp is the operating temperature of the pth effective energy meter, YX scp is the operating time of the pth effective electric energy meter;

[0028] The regional node corresponding to the maximum value of the running index is recorded as the starting node, and the regional node corresponding to the minimum value of the running index is recorded as the ending node.

[0029] Furthermore, the planning method of the scheduling strategy route includes:

[0030] In the verification area, the regional node adjacent to the starting node is recorded as the first branch point, and a line is connected between the starting node and the first branch point to draw the starting planning branch line;

[0031] The regional nodes adjacent to the termination node are recorded as the second branch line points, and a line is connected between the termination node and the second branch line point to draw the termination planning branch line;

[0032] Based on the route planning criteria, connect any two adjacent regional nodes to obtain k planned branches;

[0033] The first and last sections of the k planned branches are marked one by one, and the starting and ending planned branches are connected to the first and last sections of the k planned branches respectively to obtain k scheduling strategy routes.

[0034] Furthermore, the marking method of the test site includes:

[0035] A simulation platform with a closed contour is constructed in the test system by using virtual simulation technology, and the lengths of the closed contour in the horizontal direction and the vertical direction are measured respectively to obtain a first length value and a second length value;

[0036] Using one kth of the first length value and one kth of the second length value as the horizontal length and the horizontal width, respectively, to construct k rectangular blank spaces in the simulation platform;

[0037] Mark a collection position and p test positions in k blank areas respectively, and number the p test positions in ascending order to obtain k test areas;

[0038] The method for generating a scheduling strategy test platform includes:

[0039] Import k scheduling strategy routes into the set positions of k test sites one by one to form k route test sets;

[0040] In order of increasing the number, the p effective electric energy meters in the k route test sets are sequentially introduced into the corresponding p test stations to obtain p route stations;

[0041] Mark the front closing point and the rear closing point at the front end of the first route station and the rear end of the last route station respectively;

[0042] An upper closed line and a lower closed line are drawn above and below the p route workstations, respectively, and the two ends of the upper closed line and the lower closed line are connected to the front closed point and the rear closed point, respectively, to obtain k workstation closed loops and a scheduling strategy test platform.

[0043] Furthermore, the method for obtaining the response feedback duration includes:

[0044] At the same time, the test system sends a voltage detection request instruction to the k station closed loop in the scheduling strategy test platform;

[0045] According to the sequence of k scheduling strategy routes, the time when p effective electric energy meters receive the voltage detection request instruction is queried one by one through the timestamp to obtain p receiving times;

[0046] When the p effective electric energy meters have all executed the voltage detection request instruction, the time when the p effective electric energy meters start to execute the voltage detection request instruction is queried one by one to obtain p feedback times;

[0047] The duration between the p receiving moments and the p feedback moments is recorded as the sub-feedback duration, and p sub-feedback durations are obtained;

[0048] After removing the maximum and minimum sub-feedback durations, the remaining p-2 sub-feedback durations are accumulated and averaged to obtain k response feedback durations;

[0049] The expression of response feedback duration is:

[0050]

[0051] In the formula, XY fkk is the response feedback time of the kth scheduling strategy route, SC zka is the sub-feedback duration of the ath effective electric energy meter in the kth scheduling strategy route.

[0052] Furthermore, the method for obtaining the temperature rise rate includes:

[0053] According to the sequence of k scheduling strategy routes, query the time when the real-time temperature values ​​of p effective electric energy meters reach the preset temperature lower limit for the first time through the timestamp, and obtain p rising start times;

[0054] After the p rising start times, query the time when the real-time temperature values ​​of the p effective electric energy meters reach the preset temperature upper limit value for the first time, and obtain p rising end times;

[0055] The duration between the p rising start times and the p rising end times is recorded as the rising duration, and p rising durations are obtained;

[0056] The preset temperature upper limit value is subtracted from the preset temperature lower limit value, and then compared with the p rising time lengths to obtain p sub-rising rates;

[0057] The expression of the sub-ascent rate is:

[0058]

[0059] In the formula, SS lkp is the sub-increase rate of the pth effective energy meter in the kth dispatch strategy route, WD sx is the preset temperature upper limit, WD xx is the preset temperature lower limit, SC sskp is the rising time of the pth effective electric energy meter of the kth dispatch strategy route;

[0060] The p sub-rates of temperature rise are accumulated and averaged to obtain k temperature rise rates;

[0061] The expression of temperature rise rate is:

[0062]

[0063] In the formula, SS wdk is the temperature rise rate of the kth scheduling strategy route, SS lkb is the sub-rising rate of the bth effective electric energy meter of the kth scheduling strategy route.

[0064] Furthermore, the method for obtaining the anti-interference stability includes:

[0065] According to the sequence of k dispatching strategy routes, the voltage and current values ​​of p effective electric energy meters are measured one by one without electromagnetic interference signals to obtain p normal voltage values ​​and p normal current values;

[0066] At the same time, electromagnetic interference signals of equal strength are sent to p effective electric energy meters through electromagnetic interference equipment;

[0067] After the standard interference time has passed, the voltage values ​​and current values ​​of the p effective electric energy meters are measured one by one to obtain p interference voltage values ​​and p interference current values;

[0068] Subtract the p normal voltage values ​​from the p interference voltage values ​​and calculate their absolute values ​​to obtain p voltage difference values;

[0069] The voltage difference expression is:

[0070] DY ckp =|DY zckp -DY grkp |;

[0071] Where DY ckp is the voltage difference of the pth effective electric energy meter in the kth dispatch strategy route, DY zckp is the normal voltage value of the pth effective electric energy meter of the kth dispatch strategy route, DY grkp is the interference voltage value of the pth effective electric energy meter of the kth dispatch strategy route;

[0072] Subtract the p normal current values ​​from the p interference current values ​​and calculate their absolute values ​​to obtain p current difference values;

[0073] The expression of the current difference is:

[0074] DL ckp =|DL zckp -DL grkp |;

[0075] In the formula, DL ckp is the current difference of the pth effective energy meter in the kth dispatch strategy route, DL zckp is the normal current value of the pth effective energy meter of the kth dispatch strategy route, DL grkp is the interference current value of the pth effective electric energy meter of the kth dispatch strategy route;

[0076] The difference between p normal voltage values ​​and p voltage differences is calculated, and the difference between p normal current values ​​and p current differences is accumulated and averaged to obtain k anti-interference stability.

[0077] The expression of anti-interference stability is:

[0078]

[0079] Where PW grk is the anti-interference stability of the k-th scheduling strategy route, DY zckc is the normal voltage value of the cth effective electric energy meter of the kth dispatch strategy route, DY ckc is the voltage difference of the cth effective energy meter in the kth dispatch strategy route, DL zckd is the normal current value of the dth effective electric energy meter of the kth dispatch strategy route, DL ckd is the current difference of the dth effective electric energy meter of the kth scheduling strategy route.

[0080] Furthermore, the expression of test reliability is:

[0081]

[0082] In the formula, KK csk is the test reliability of the kth scheduling strategy route, σ1, σ2, and σ3 are all weight factors greater than 0;

[0083] The target line screening methods include:

[0084] Compare the k test reliabilities one by one, and record the maximum value of the test reliability as the target reliability;

[0085] When the number of target reliability is 1, the scheduling strategy route corresponding to the target reliability is recorded as the target route;

[0086] When the number of target reliability is greater than 1 and the number of the maximum value of anti-interference stability is 1, the scheduling strategy route corresponding to the maximum value of anti-interference stability is recorded as the target route;

[0087] When the number of target reliabilities is greater than 1 and the number of maximum values ​​of anti-interference stability is greater than 1, a scheduling strategy route corresponding to one of the target reliabilities is randomly selected and recorded as the target route.

[0088] A method for testing a dispatching strategy for an automatic verification of a full performance test of an electric energy meter is implemented based on the automatic verification of a dispatching strategy for an full performance test of an electric energy meter, and includes:

[0089] S1: Mark the regional nodes on the electric energy meter distribution map, and draw the calibration area based on the regional nodes;

[0090] S2: Mark the target node from the regional nodes, and plan the scheduling strategy route in the verification area based on the route planning criteria. The target node includes the starting node and the ending node;

[0091] S3: Build a simulation platform based on virtual simulation technology, mark the test site of the simulation platform, and import the scheduling strategy route into the test site to generate a scheduling strategy test platform;

[0092] S4: Collect performance test parameters of the scheduling strategy route in the scheduling strategy test platform, and calculate the test reliability of the scheduling strategy route. The performance test parameters include response feedback time, temperature rise rate, and anti-interference stability;

[0093] S5: Filter out the target route from the dispatching strategy route, and control the electric energy meter to perform full performance automatic calibration according to the target route.

[0094] The technical effects and advantages of the automatic verification and dispatching strategy testing system and method of the electric energy meter full performance test of the present invention are as follows:

[0095] The present invention marks regional nodes on an electric energy meter distribution map, draws a calibration area based on the regional nodes, marks target nodes from the regional nodes, and plans a scheduling strategy route in the calibration area based on route planning criteria, builds a simulation platform based on virtual simulation technology, marks a test site of the simulation platform, imports the scheduling strategy route into the test site, generates a scheduling strategy test platform, collects performance test parameters of the scheduling strategy route in the scheduling strategy test platform, calculates the test reliability of the scheduling strategy route, selects the target route from the scheduling strategy route, and controls the electric energy meter to perform full performance automatic calibration according to the target route; compared with the prior art, the present invention can accurately select effective electric energy that meets the automatic calibration requirements from a large number of electric energy meters. The table can be used to plan multiple different dispatching strategy routes based on the location of the effective electric energy meter. At the same time, the dispatching strategy test platform can be used to simulate the reliability of the dispatching strategy route, so as to accurately screen out the most reliable dispatching strategy route that best meets the dispatching needs of the effective electric energy meter for automatic calibration of the full performance test. This can avoid the phenomenon of repeated calibration of the effective electric energy meter during the automatic calibration of the full performance test and shorten the time required for automatic calibration. At the same time, simulation can also be used to achieve fast and accurate dispatching effect of automatic calibration of the full performance test of the effective electric energy meter, which provides a good foundation for the subsequent automatic calibration of the real full performance test of the electric energy meter, thereby avoiding the phenomenon of disordered calibration sequence and erroneous calibration results during the automatic calibration of the full performance test of the electric energy meter. BRIEF DESCRIPTION OF THE DRAWINGS

[0096] Figure 1 A schematic diagram of a system for automatically verifying and testing a dispatching strategy for a full performance test of an electric energy meter provided in the first embodiment of the present invention;

[0097] Figure 2 A flowchart of a method for automatically verifying a scheduling strategy for a full performance test of an electric energy meter provided in the second embodiment of the present invention. DETAILED DESCRIPTION

[0098] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0099] Example 1: Please refer to Figure 1 As shown, the present embodiment describes an automatic verification and dispatching strategy testing system for a full performance test of an electric energy meter, comprising:

[0100] The calibration area drawing module marks the area nodes on the electric energy meter distribution map and draws the calibration area based on the area nodes;

[0101] The energy meter distribution map refers to a map that can graphically identify and mark the locations of all energy meters, and serves as the basis for subsequent analysis of the points and areas where the energy meters are located. The regional node is the point representation of the location of each energy meter on the energy meter distribution map, so that the specific location of each energy meter can be accurately represented;

[0102] The marking methods of regional nodes include:

[0103] Obtain the current electric energy meter distribution map through the database, and mark i electric energy meters in the electric energy meter distribution map one by one;

[0104] The operating status of i electric energy meters is queried in sequence, and the electric energy meters in normal operating status are recorded as effective electric energy meters, and p effective electric energy meters are obtained; the operating status refers to the working status of the electric energy meter at the current moment, that is, the different working statuses of the electric energy meter can be represented, and the operating status includes normal operating status and abnormal shutdown status;

[0105] The locations of p effective electric energy meters are marked one by one on the electric energy meter distribution map, and the locations of the effective electric energy meters are recorded as regional nodes to obtain p regional nodes.

[0106] After obtaining the regional nodes, all regional nodes can be connected according to certain rules, so that all regional nodes can form a region with a closed outline, that is, the verification region, so that the verification region can be used as the object region for the subsequent scheduling strategy;

[0107] Methods for drawing the verification area include:

[0108] Draw circles with p regional nodes as the center, enclose the p regional nodes in the circles, and obtain p regional circles;

[0109] The radii of the p area circles are measured one by one by a scale, and the areas of the p area circles are calculated based on the circle area calculation formula, and the area circle corresponding to the minimum area value is recorded as the inspection area;

[0110] It should be noted that the calibration area refers to the area in the electricity meter distribution map that contains all valid electricity meters. At this time, the operating status of the electricity meters included in the calibration area may be a normal operating status or an abnormal shutdown status. Therefore, the calibration area is just a representation of the area after the area on the electricity meter distribution map is divided, and the actual operating status of the electricity meters in the area is not unique.

[0111] The scheduling strategy route module marks the target node from the regional node and plans the scheduling strategy route in the verification area based on the route planning criteria. The target node includes the starting node and the ending node.

[0112] The target node refers to the starting and ending points of the full performance test of the effective electric energy meter in the calibration area, which can limit the starting and ending points of the dispatching strategy route and provide accurate starting and ending positions for the subsequent dispatching strategy route planning;

[0113] The target node includes the starting node and the ending node; the starting node refers to the starting point of the planned route and is the first valid electric energy meter to be tested for full performance test; the ending node refers to the ending point of the planned route and is the last valid electric energy meter to be tested for full performance test;

[0114] The marking methods of the start node and the end node include:

[0115] The real-time operating temperatures of p effective electric energy meters are detected one by one by a temperature sensor to obtain p real-time temperature values;

[0116] The moment when the real-time temperature value reaches the preset temperature lower limit for the first time is recorded as the starting moment, and p starting moments are obtained; the preset temperature lower limit refers to the minimum temperature value that can have a negative impact on the performance state of the electric energy meter under normal operating conditions, so that real-time temperature values ​​with smaller values ​​can be eliminated, reducing the amount of real-time temperature values ​​collected; the preset temperature lower limit is obtained by collecting a large number of historical minimum temperature values ​​that can have a negative impact on the performance state of the electric energy meter under normal operating conditions, and then calculating their average value;

[0117] The duration between the p starting moments and the current moment is recorded as the running time, and p running times are obtained;

[0118] The temperature values ​​of p effective electric energy meters at the current moment are obtained through the temperature sensor, and p operating temperatures are obtained. The p operating time periods are compared with the p operating temperatures one by one to obtain p operating indexes. The operating index is a numerical representation of the degree of goodness or badness of the operating state of the effective electric energy meter at the current moment. When the operating index is larger, it means that the operating state of the effective electric energy meter at the current moment is relatively poor, and it is easy to have operating abnormalities or even failures. In this case, it is necessary to give priority to the effective electric energy meter with a large operating index, and the effective electric energy meter corresponding to the operating index is the first object to be tested for full performance test;

[0119] The expression for the running index is:

[0120]

[0121] In the formula, YX zsp is the operating index of the oth effective energy meter, YX wdp is the operating temperature of the pth effective energy meter, YX scp is the operating time of the pth effective electric energy meter;

[0122] The regional node corresponding to the maximum value of the running index is recorded as the starting node, and the regional node corresponding to the minimum value of the running index is recorded as the ending node.

[0123] After obtaining the starting node and the ending node, the dispatching strategy route can be planned according to the starting node and the ending node, so that the subsequent effective electric energy meters can be tested one by one in the order of the dispatching strategy route;

[0124] When planning the dispatching strategy route, due to the large number of regional nodes, it is necessary to restrict the planning of the dispatching strategy route to prevent duplication or confusion in the planning of the dispatching strategy route and ensure the uniqueness and orderliness of the dispatching strategy route. Therefore, it is necessary to use route planning criteria to restrict the planning of the dispatching strategy route;

[0125] The route planning principle is: there is no duplication between any two planned branches; this can avoid the phenomenon of repeated full performance tests on the corresponding effective electric energy meters on the repeated planned branches, ensuring the single test effect of each effective electric energy meter;

[0126] The planning methods of scheduling strategy routes include:

[0127] In the verification area, the regional node adjacent to the starting node is recorded as the first branch point, and a line is connected between the starting node and the first branch point to draw the starting planning branch line;

[0128] The regional nodes adjacent to the termination node are recorded as the second branch line points, and a line is connected between the termination node and the second branch line point to draw the termination planning branch line;

[0129] Based on the route planning criteria, connect any two adjacent regional nodes to obtain k planned branches;

[0130] Mark the first and last sections of the k planned branches one by one, and connect the starting and ending planned branches to the first and last sections of the k planned branches respectively, to obtain k scheduling strategy routes; the first section refers to a section of the planned branch close to the starting node, and the last section refers to a section of the planned branch close to the ending node, so that the two ends of the planned branch can be represented separately;

[0131] It should be noted that by planning the dispatching strategy route, the order of full performance test of the effective electric energy meters can be restricted, so that subsequent testing operations can be carried out according to the order corresponding to the effective electric energy meters on each dispatching strategy route.

[0132] The test platform construction module builds a simulation platform based on virtual simulation technology, marks the test site of the simulation platform, and imports the scheduling strategy route into the test site to generate a scheduling strategy test platform;

[0133] The simulation platform is a virtual scene built through virtual simulation technology that can provide a simulated test environment for subsequent scheduling strategy routes, and provide a site for importing and testing the planned scheduling strategy routes, ensuring that the planned scheduling strategy routes can be tested reasonably and accurately. The test site is the smallest unit of the simulation platform and serves as the import location for the scheduling strategy routes, ensuring that the scheduling strategy routes can be perfectly integrated with the simulation platform.

[0134] The marking methods for the test site include:

[0135] A simulation platform with a closed contour is constructed in the test system through virtual simulation technology, and the lengths of the closed contour in the horizontal direction and the vertical direction are measured respectively to obtain a first length value and a second length value; the closed contour can play the role of outer wrapping restriction on the constructed simulation platform to prevent the subsequent data loss in the simulation platform, thereby improving the independence and airtightness of the simulation platform;

[0136] Using one kth of the first length value and one kth of the second length value as the horizontal length and horizontal width, respectively, k rectangular blank spaces are constructed in the simulation platform; the blank space refers to the space that can be provided for the import of the scheduling strategy route, ensuring that each scheduling strategy route can find a separate and reasonable position in the simulation platform;

[0137] Mark a collection position and p test positions in k blank sites respectively, and number the p test positions in ascending order to obtain k test sites; the collection position is a space for caching the scheduling strategy route, so that the scheduling strategy route can be cached in the collection position and provide auxiliary effect for the accurate import of the scheduling strategy route; the test position is a position for the accurate import of effective electric energy meters, ensuring that each effective electric energy meter can maintain an independent state;

[0138] After the simulation platform with the test site is constructed, the import position of the dispatching strategy route can be provided, so that the planned dispatching strategy routes can be imported into the corresponding test site one by one, thereby forming a dispatching strategy test platform, so that the dispatching strategy test platform can perform efficient test operations on the full performance test of the effective electric energy meter in each dispatching strategy route;

[0139] The method for generating a scheduling strategy test platform includes:

[0140] Import k scheduling strategy routes into the set positions of k test sites one by one to form k route test sets;

[0141] In order of increasing the number, the p effective electric energy meters in the k route test sets are sequentially introduced into the corresponding p test stations to obtain p route stations;

[0142] A front closing point and a rear closing point are marked at the front end of the first route station and the rear end of the last route station, respectively; the front closing point is a point corresponding to the middle position in front of the first route station, and the rear closing point is a point corresponding to the middle position behind the last route station, so that the front closing point and the rear closing point can provide positioning for the subsequent connection and closure of the upper closing line and the lower closing line;

[0143] Draw an upper closed line and a lower closed line above and below the p route workstations, respectively, and connect the two ends of the upper closed line and the lower closed line to the front closed point and the rear closed point, respectively, to obtain k workstation closed loops, and obtain a scheduling strategy test platform;

[0144] After obtaining the dispatching strategy test platform, the full performance test of the effective electric energy meter can be tested on the dispatching strategy test platform. Therefore, on the basis of virtual simulation, the dispatching sequence of automatic verification of the full performance test of the electric energy meter can be accurately and realistically simulated, thereby being able to quickly and realistically restore the full performance test scenario of the electric energy meter, and also improving the efficiency of the full performance test of the electric energy meter.

[0145] The reliability calculation module collects the performance test parameters of the scheduling strategy route in the scheduling strategy test platform and calculates the test reliability of the scheduling strategy route;

[0146] Performance test parameters refer to the relevant parameters of the dispatch strategy test platform for automatic verification of the full performance of the effective electric energy meter according to different dispatch strategy routes, which can represent the rationality of the dispatch sequence of the full performance test of the effective electric energy meter corresponding to each dispatch strategy route, and serve as the data basis for the subsequent calculation of the feasibility of the performance test, and then evaluate the rationality of each dispatch strategy route;

[0147] Performance test parameters include response feedback time, temperature rise rate and anti-interference stability;

[0148] The response feedback time refers to the effective time of the effective electric energy meter processing data tested in the order of the dispatching strategy route, which can be used to represent the size of the effective electric energy meter processing data in the dispatching strategy route. When the response feedback time is longer, it means that the effective time of the effective electric energy meter processing data tested in the order of the dispatching strategy route is longer, the operating state of the effective electric energy meter is worse, and the reliability corresponding to the dispatching strategy route is smaller;

[0149] Methods for obtaining response feedback duration include:

[0150] At the same time, the test system sends a voltage detection request instruction to the k station closed loop in the scheduling strategy test platform;

[0151] According to the sequence of k scheduling strategy routes, the time when p effective electric energy meters receive the voltage detection request instruction is queried one by one through the timestamp to obtain p receiving times;

[0152] When p effective electric energy meters have all executed the voltage detection request instruction, the time when the p effective electric energy meters start to execute the voltage detection request instruction is queried one by one to obtain p feedback time points; the method in which all effective electric energy meters have executed the voltage detection request instruction can avoid the influence of data fluctuation caused by a certain effective electric energy meter in the process of executing the voltage detection request instruction, thereby ensuring the accuracy of the data at the feedback time point;

[0153] The duration between the p receiving moments and the p feedback moments is recorded as the sub-feedback duration, and p sub-feedback durations are obtained;

[0154] After removing the maximum and minimum sub-feedback durations, the remaining p-2 sub-feedback durations are accumulated and averaged to obtain k response feedback durations;

[0155] The expression of response feedback duration is:

[0156]

[0157] In the formula, XY fkk is the response feedback time of the kth scheduling strategy route, SCzka is the sub-feedback duration of the ath effective electric energy meter in the kth scheduling strategy route.

[0158] The temperature rise rate refers to the speed at which the temperature of the effective electric energy meter tested in the order of the dispatching strategy route rises in a unit time, which can be used to indicate the speed of change of the temperature of the effective electric energy meter in the dispatching strategy route. The larger the temperature rise rate, the faster the temperature of the effective electric energy meter tested in the order of the dispatching strategy route rises in a unit time, the worse the operating state of the effective electric energy meter is, and the smaller the reliability corresponding to the dispatching strategy route is.

[0159] Methods for obtaining the temperature rise rate include:

[0160] According to the sequence of k scheduling strategy routes, query the time when the real-time temperature values ​​of p effective electric energy meters reach the preset temperature lower limit for the first time through the timestamp, and obtain p rising start times;

[0161] After p rising start times, the time when the real-time temperature values ​​of p effective electric energy meters reach the preset temperature upper limit for the first time is queried one by one to obtain p rising end times; the preset temperature upper limit refers to the calibrated maximum value that can have a negative impact on the performance state of the electric energy meter under normal operating conditions, so that real-time temperature values ​​with large values ​​can be eliminated, reducing the amount of real-time temperature values ​​collected; the preset temperature upper limit is obtained by querying the technical parameter table of the electric energy meter;

[0162] The duration between the p rising start times and the p rising end times is recorded as the rising duration, and p rising durations are obtained;

[0163] The preset temperature upper limit value is subtracted from the preset temperature lower limit value, and then compared with the p rising time lengths to obtain p sub-rising rates;

[0164] The expression of the sub-ascent rate is:

[0165]

[0166] In the formula, SS lkp is the sub-increase rate of the pth effective energy meter in the kth dispatch strategy route, WD sx is the preset temperature upper limit, WD xx is the preset temperature lower limit, SC sskp is the rising time of the pth effective electric energy meter of the kth dispatch strategy route;

[0167] The p sub-rates of temperature rise are accumulated and averaged to obtain k temperature rise rates;

[0168] The expression of temperature rise rate is:

[0169]

[0170] In the formula, SS wdk is the temperature rise rate of the kth scheduling strategy route, SS lkb is the sub-rising rate of the bth effective electric energy meter of the kth scheduling strategy route.

[0171] Anti-interference stability refers to the ability of the effective electric energy meter tested in the order of the dispatching strategy route to resist interference signals, which can be used to indicate the strength of the anti-interference ability of the effective electric energy meter in the dispatching strategy route. The greater the anti-interference stability, the stronger the ability of the effective electric energy meter tested in the order of the dispatching strategy route to resist interference signals, the better the operating state of the effective electric energy meter, and the greater the reliability corresponding to the dispatching strategy route;

[0172] The methods for obtaining anti-interference stability include:

[0173] According to the sequence of k dispatching strategy routes, the voltage and current values ​​of p effective electric energy meters are measured one by one without electromagnetic interference signals to obtain p normal voltage values ​​and p normal current values;

[0174] At the same time, electromagnetic interference signals of equal strength are sent to p effective electric energy meters through electromagnetic interference equipment;

[0175] After the standard interference time, the voltage and current values ​​of p effective electric energy meters are measured one by one to obtain p interference voltage values ​​and p interference current values; the standard interference time refers to the period of at least one complete change in the voltage and current of the effective electric energy meter when it is subjected to an electromagnetic interference signal, which can limit the voltage and current collection interval under the electromagnetic interference signal, thereby enhancing the collection accuracy of the interference voltage and interference current values;

[0176] Subtract the p normal voltage values ​​from the p interference voltage values ​​and calculate their absolute values ​​to obtain p voltage difference values;

[0177] The voltage difference expression is:

[0178] DY ckp =|DY zckp -DY grkp |;

[0179] Where DY ckp is the voltage difference of the pth effective electric energy meter in the kth dispatch strategy route, DY zckp is the normal voltage value of the pth effective electric energy meter of the kth dispatch strategy route, DY grkp is the interference voltage value of the pth effective electric energy meter of the kth dispatch strategy route;

[0180] Subtract the p normal current values ​​from the p interference current values ​​and calculate their absolute values ​​to obtain p current difference values;

[0181] The expression of the current difference is:

[0182] DL ckp =|DL zckp -DL grkp |;

[0183] In the formula, DL ckp is the current difference of the pth effective energy meter in the kth dispatch strategy route, DL zckp is the normal current value of the pth effective energy meter of the kth dispatch strategy route, DL grkp is the interference current value of the pth effective electric energy meter of the kth dispatch strategy route;

[0184] The difference between p normal voltage values ​​and p voltage differences is calculated, and the difference between p normal current values ​​and p current differences is accumulated and averaged to obtain k anti-interference stability.

[0185] The expression of anti-interference stability is:

[0186]

[0187] Where PW grk is the anti-interference stability of the k-th scheduling strategy route, DY zckc is the normal voltage value of the cth effective electric energy meter of the kth dispatch strategy route, DY ckc is the voltage difference of the cth effective energy meter in the kth dispatch strategy route, DL zckd is the normal current value of the dth effective electric energy meter of the kth dispatch strategy route, DL ckd is the current difference of the dth effective electric energy meter of the kth scheduling strategy route.

[0188] After the performance test parameters are obtained, the test reliability can be calculated according to the performance test parameters, so as to judge whether the test effect of the full performance test of the effective electric energy meter corresponding to each scheduling strategy route is reliable, and serve as a basis for judging the operating stability of the effective electric energy meter in each scheduling strategy route in the sequence of the scheduling strategy route;

[0189] The expression of test reliability is:

[0190]

[0191] In the formula, KK csk is the test reliability of the kth scheduling strategy route, σ1, σ2, and σ3 are all weight factors greater than 0;

[0192] Among them, σ1+σ2+σ3=1, exemplarily, σ1 is 0.422, σ2 is 0.336, and σ3 is 0.242; it should be noted that σ1, σ2, and σ3 are used to adjust the proportion of response feedback time, temperature rise rate, and anti-interference stability in the test reliability, so that the response feedback time, temperature rise rate, and anti-interference stability can maintain a relatively balanced influence on the size of the test reliability, thereby ensuring the accuracy of the test reliability;

[0193] The target route screening module selects the target route from the dispatch strategy route and controls the electric energy meter to perform full performance automatic verification according to the target route;

[0194] After the test reliability is calculated, the dispatching strategy route with the highest reliability can be selected from the k dispatching strategy routes according to the test reliability, and recorded as the target route, so that the target route can be used as the order for the subsequent automatic verification of the effective electric energy meter;

[0195] The target line screening methods include:

[0196] Compare the k test reliabilities one by one, and record the maximum value of the test reliability as the target reliability;

[0197] When the number of target reliability is 1, the scheduling strategy route corresponding to the target reliability is recorded as the target route;

[0198] When the number of target reliability is greater than 1, the magnitude of the anti-interference stability is compared. If the number of the maximum value of the anti-interference stability is 1, the scheduling strategy route corresponding to the maximum value of the anti-interference stability is recorded as the target route;

[0199] When the number of target reliabilities is greater than 1 and the number of maximum values ​​of anti-interference stability is greater than 1, a scheduling strategy route corresponding to one of the target reliabilities is randomly selected and recorded as the target route.

[0200] When the target line is acquired, a basis can be provided for the dispatching sequence of the full performance automatic verification of the effective electric energy meter, so that the effective electric energy meter can be tested and processed in sequence according to the sequence of the effective electric energy meters in the target line, thereby ensuring the normal and stable test operation of the full performance automatic verification of the effective electric energy meter, and realizing the rapid dispatching effect of the automatic verification of the full performance test of the electric energy meter.

[0201] In this embodiment, regional nodes are marked on the electric energy meter distribution map, and a calibration area is drawn based on the regional nodes, target nodes are marked from the regional nodes, and a scheduling strategy route is planned in the calibration area based on the route planning criteria, a simulation platform is constructed based on virtual simulation technology, a test site of the simulation platform is marked, and the scheduling strategy route is imported into the test site to generate a scheduling strategy test platform, performance test parameters of the scheduling strategy route in the scheduling strategy test platform are collected, and the test reliability of the scheduling strategy route is calculated, the target route is screened out from the scheduling strategy route, and the electric energy meter is controlled to perform full performance automatic calibration according to the target route; compared with the prior art, the effective electric energy meters that meet the automatic calibration requirements can be accurately screened out from a large number of electric energy meters. Energy meter, and based on the location of the effective energy meter, a number of different dispatching strategy routes are planned. At the same time, the dispatching strategy test platform can be used to simulate the reliability of the dispatching strategy route, so as to accurately screen out the most reliable dispatching strategy route that best meets the dispatching needs of the effective energy meter for automatic calibration of the full performance test. It can avoid the phenomenon of repeated calibration of the effective energy meter during the automatic calibration of the full performance test and shorten the time used for automatic calibration. At the same time, simulation is also used to achieve fast and accurate dispatching effect of automatic calibration of the full performance test of the effective energy meter, which provides a good foundation for the subsequent automatic calibration of the real full performance test of the energy meter, thereby avoiding the phenomenon of disordered calibration sequence and erroneous calibration results during the automatic calibration of the full performance test of the energy meter.

[0202] Example 2: Please refer to Figure 2 As shown, the part not described in detail in this embodiment is described in the first embodiment, and a method for testing a scheduling strategy for automatic verification of a full performance test of an electric energy meter is provided, which is implemented based on a system for testing a scheduling strategy for automatic verification of a full performance test of an electric energy meter, and includes:

[0203] S1: Mark the regional nodes on the electric energy meter distribution map, and draw the calibration area based on the regional nodes;

[0204] S2: Mark the target node from the regional nodes, and plan the scheduling strategy route in the verification area based on the route planning criteria. The target node includes the starting node and the ending node;

[0205] S3: Build a simulation platform based on virtual simulation technology, mark the test site of the simulation platform, and import the scheduling strategy route into the test site to generate a scheduling strategy test platform;

[0206] S4: Collect performance test parameters of the scheduling strategy route in the scheduling strategy test platform, and calculate the test reliability of the scheduling strategy route. The performance test parameters include response feedback time, temperature rise rate, and anti-interference stability;

[0207] S5: Filter out the target route from the dispatching strategy route, and control the electric energy meter to perform full performance automatic calibration according to the target route.

[0208] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An automatic verification and dispatching strategy test system for full performance test of electric energy meters, characterized in that: include: The verification area drawing module is used to mark the area nodes on the electric energy meter distribution map and draw the verification area based on the area nodes; The scheduling strategy route module is used to mark the target node from the regional node and plan the scheduling strategy route in the verification area based on the route planning criteria. The target node includes the starting node and the ending node. The test platform construction module is used to construct a simulation platform based on virtual simulation technology, mark the test site of the simulation platform, and import the scheduling strategy route into the test site to generate a scheduling strategy test platform; The reliability calculation module is used to collect the performance test parameters of the scheduling strategy route in the scheduling strategy test platform and calculate the test reliability of the scheduling strategy route. The performance test parameters include response feedback time, temperature rise rate and anti-interference stability; The target route screening module is used to screen out the target route from the dispatch strategy route and control the electric energy meter to perform full performance automatic calibration according to the target route.

2. According to claim 1, the automatic verification and dispatching strategy testing system for full performance test of electric energy meter is characterized in that: The marking method of the regional node includes: Obtain the current electric energy meter distribution map through the database, and mark i electric energy meters in the electric energy meter distribution map one by one; Query the operating status of i electric energy meters in sequence, and record the electric energy meters in normal operating status as effective electric energy meters, and obtain p effective electric energy meters; Mark the locations of p effective electric energy meters one by one on the electric energy meter distribution map, record the locations of the effective electric energy meters as regional nodes, and obtain p regional nodes; Methods for drawing the verification area include: Draw circles with p regional nodes as the center, enclose the p regional nodes in the circles, and obtain p regional circles; The radii of the p area circles are measured one by one using a scale, the areas of the p area circles are calculated based on the circle area calculation formula, and the area circle corresponding to the minimum area value is recorded as the inspection area.

3. According to claim 2, the automatic verification and dispatching strategy test system for full performance test of electric energy meter is characterized in that: The marking method of the starting node and the ending node includes: The real-time operating temperatures of p effective electric energy meters are detected one by one by a temperature sensor to obtain p real-time temperature values; The moment when the real-time temperature value reaches the preset temperature lower limit for the first time is recorded as the starting moment, and p starting moments are obtained; The duration between the p starting moments and the current moment is recorded as the running time, and p running times are obtained; Obtain the temperature values ​​of p effective electric energy meters at the current moment through the temperature sensor, obtain p operating temperatures, compare the p operating time with the p operating temperatures one by one, and obtain p operating indexes; The expression for the running index is: In the formula, YX zsp is the operating index of the pth effective energy meter, YX wdp is the operating temperature of the pth effective energy meter, YX scp is the operating time of the pth effective electric energy meter; The regional node corresponding to the maximum value of the running index is recorded as the starting node, and the regional node corresponding to the minimum value of the running index is recorded as the ending node.

4. According to claim 3, the automatic verification and dispatching strategy testing system for full performance test of electric energy meter is characterized in that: The planning method of the scheduling strategy route includes: In the verification area, the regional node adjacent to the starting node is recorded as the first branch point, and a line is connected between the starting node and the first branch point to draw the starting planning branch line; The regional nodes adjacent to the termination node are recorded as the second branch line points, and a line is connected between the termination node and the second branch line point to draw the termination planning branch line; Based on the route planning criteria, connect any two adjacent regional nodes to obtain k planned branches; The first and last sections of the k planned branches are marked one by one, and the starting and ending planned branches are connected to the first and last sections of the k planned branches respectively to obtain k scheduling strategy routes.

5. According to claim 4, the automatic verification and dispatching strategy testing system for full performance test of electric energy meter is characterized in that: The marking method of the test site includes: A simulation platform with a closed contour is constructed in the test system by using virtual simulation technology, and the lengths of the closed contour in the horizontal direction and the vertical direction are measured respectively to obtain a first length value and a second length value; Using one kth of the first length value and one kth of the second length value as the horizontal length and the horizontal width, respectively, to construct k rectangular blank spaces in the simulation platform; Mark a collection position and p test positions in k blank areas respectively, and number the p test positions in ascending order to obtain k test areas; The method for generating a scheduling strategy test platform includes: Import k scheduling strategy routes into the set positions of k test sites one by one to form k route test sets; In order of increasing the number, the p effective electric energy meters in the k route test sets are sequentially introduced into the corresponding p test stations to obtain p route stations; Mark the front closing point and the rear closing point at the front end of the first route station and the rear end of the last route station respectively; An upper closed line and a lower closed line are drawn above and below the p route workstations, respectively, and the two ends of the upper closed line and the lower closed line are connected to the front closed point and the rear closed point, respectively, to obtain k workstation closed loops and a scheduling strategy test platform.

6. The automatic verification and dispatching strategy testing system for full performance test of electric energy meter according to claim 5 is characterized in that: The method for obtaining the response feedback duration includes: At the same time, the test system sends a voltage detection request instruction to the k station closed loop in the scheduling strategy test platform; According to the sequence of k scheduling strategy routes, the time when p effective electric energy meters receive the voltage detection request instruction is queried one by one through the timestamp to obtain p receiving times; When the p effective electric energy meters have all executed the voltage detection request instruction, the time when the p effective electric energy meters start to execute the voltage detection request instruction is queried one by one to obtain p feedback times; The duration between the p receiving moments and the p feedback moments is recorded as a sub-feedback duration, and p sub-feedback durations are obtained; After removing the maximum and minimum sub-feedback durations, the remaining p-2 sub-feedback durations are accumulated and averaged to obtain k response feedback durations; The expression of response feedback duration is: In the formula, XY fkk is the response feedback time of the kth scheduling strategy route, SC zka is the sub-feedback duration of the ath effective electric energy meter of the kth scheduling strategy route.

7. The automatic verification and dispatching strategy testing system for full performance test of electric energy meter according to claim 6 is characterized in that: The method for obtaining the temperature rise rate includes: According to the sequence of k scheduling strategy routes, query the time when the real-time temperature values ​​of p effective electric energy meters reach the preset temperature lower limit for the first time through the timestamp, and obtain p rising start times; After the p rising start times, query the time when the real-time temperature values ​​of the p effective electric energy meters reach the preset temperature upper limit value for the first time, and obtain p rising end times; The duration between the p rising start times and the p rising end times is recorded as the rising duration, and p rising durations are obtained; The preset temperature upper limit value is subtracted from the preset temperature lower limit value, and then compared with the p rising time lengths to obtain p sub-rising rates; The expression of the sub-ascent rate is: In the formula, SS lkp is the sub-increase rate of the pth effective energy meter in the kth dispatch strategy route, WD sx is the preset temperature upper limit, WD xx is the preset temperature lower limit, SC sskp is the rising time of the pth effective electric energy meter of the kth dispatch strategy route; The p sub-rates of temperature rise are accumulated and averaged to obtain k temperature rise rates; The expression of temperature rise rate is: In the formula, SS wdk is the temperature rise rate of the kth scheduling strategy route, SS lkb is the sub-increase rate of the bth effective electric energy meter of the kth scheduling strategy route.

8. The automatic verification and dispatching strategy testing system for full performance test of electric energy meters according to claim 7 is characterized in that: The method for obtaining the anti-interference stability includes: According to the sequence of k dispatching strategy routes, the voltage and current values ​​of p effective electric energy meters are measured one by one without electromagnetic interference signals to obtain p normal voltage values ​​and p normal current values; At the same time, electromagnetic interference signals of equal strength are sent to p effective electric energy meters through electromagnetic interference equipment; After the standard interference time has passed, the voltage values ​​and current values ​​of the p effective electric energy meters are measured one by one to obtain p interference voltage values ​​and p interference current values; Subtract the p normal voltage values ​​from the p interference voltage values ​​and calculate their absolute values ​​to obtain p voltage difference values; The expression for the voltage difference is: OF ckp |DY zckp -OF grkp |? In the formula, DY ckp is the voltage difference of the pth effective electric energy meter in the kth dispatch strategy route, DY zckp is the normal voltage value of the pth effective electric energy meter of the kth dispatch strategy route, DY grkp is the interference voltage value of the pth effective electric energy meter of the kth dispatch strategy route; Subtract the p normal current values ​​from the p interference current values ​​and calculate their absolute values ​​to obtain p current difference values; The expression of the current difference is: DL ckl =|DL zckp -DL grkp |; In the formula, DL ckp is the current difference of the pth effective energy meter in the kth dispatch strategy route, DL zckp is the normal current value of the pth effective electric energy meter of the kth dispatch strategy route, DL grkp is the interference current value of the pth effective electric energy meter of the kth dispatch strategy route; The difference between p normal voltage values ​​and p voltage differences is calculated, and the difference between p normal current values ​​and p current differences is accumulated and averaged to obtain k anti-interference stability. The expression of anti-interference stability is: Where PW grk is the anti-interference stability of the k-th scheduling strategy route, DY zckc is the normal voltage value of the cth effective electric energy meter of the kth dispatch strategy route, DY ckc is the voltage difference of the cth effective energy meter in the kth dispatch strategy route, DL zckd is the normal current value of the dth effective electric energy meter of the kth dispatch strategy route, DL ckd is the current difference of the dth effective electric energy meter of the kth scheduling strategy route.

9. The automatic verification and dispatching strategy testing system for full performance test of electric energy meters according to claim 8 is characterized in that: The expression of the test reliability is: In the formula, KK csk is the test reliability of the kth scheduling strategy route, σ1, σ2, and σ3 are all weight factors greater than 0; The target line screening methods include: Compare the k test reliabilities one by one, and record the maximum value of the test reliability as the target reliability; When the number of target reliability is 1, the scheduling strategy route corresponding to the target reliability is recorded as the target route; When the number of target reliability is greater than 1 and the number of the maximum value of anti-interference stability is 1, the scheduling strategy route corresponding to the maximum value of anti-interference stability is recorded as the target route; When the number of target reliabilities is greater than 1 and the number of maximum values ​​of anti-interference stability is greater than 1, a scheduling strategy route corresponding to one of the target reliabilities is randomly selected and recorded as the target route.

10. A method for testing a dispatching strategy for automatic verification of a full performance test of an electric energy meter, implemented based on a system for testing a dispatching strategy for automatic verification of a full performance test of an electric energy meter according to any one of claims 1 to 9, characterized in that: include: S1: Mark the regional nodes on the electric energy meter distribution map, and draw the calibration area based on the regional nodes; S2: Mark the target node from the regional nodes, and plan the scheduling strategy route in the verification area based on the route planning criteria. The target node includes the starting node and the ending node. S3: Build a simulation platform based on virtual simulation technology, mark the test site of the simulation platform, and import the scheduling strategy route into the test site to generate a scheduling strategy test platform; S4: Collect performance test parameters of the scheduling strategy route in the scheduling strategy test platform, and calculate the test reliability of the scheduling strategy route. The performance test parameters include response feedback time, temperature rise rate, and anti-interference stability; S5: Filter out the target route from the dispatch strategy route, and control the electric energy meter to perform full performance automatic calibration according to the target route.

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