A full-power data acquisition and verification method and system

Abstract

The present invention belongs to the technical field of electrical engineering applications. The present invention provides a method and system for checking all-electricity acquisition data, including: obtaining the timestamps of the electricity quantity data of the metering interval meters and the timestamps of the electricity quantity data of the data reference source collected at different acquisition times within the historical check period, and performing comparison and analysis to obtain the delayed check period and analyze it to obtain the delayed performance value. Compare the delayed performance value with the delayed performance threshold. If the delayed performance value is greater than or equal to the delayed performance threshold, it is determined that the data update synchronization between the electricity quantity data of the metering interval meters and the electricity quantity data of the data reference source is poor and there is a regular time deviation in data update, generate a regular asynchronous signal. Based on the regular asynchronous signal, obtain the acquisition interval time setting coefficient, and collect the electricity quantity data of the data reference source according to the acquisition interval time setting coefficient to improve the accuracy of electricity quantity data checking.

Description

Technical Field

[0001] The present invention belongs to the technical field of electrical engineering applications, and particularly relates to a full-power acquisition data verification method and system. Background Art

[0002] In the power quantity system, the accuracy of basic data is directly related to the reliability and accuracy of power quantity measurement, and thus affects the practicability of the system. Currently, in practice, there are various problems in data verification. For example, data updates are asynchronous, data transmission is abnormal, etc., which will all lead to inaccurate data verification, thereby resulting in unreliable power quantity measurement.

[0003] A Chinese patent application with the publication number CN110780261B discloses a power quantity acquisition data verification method and system, including: obtaining the active power quantity, reactive power quantity, and electrical parameters of the metering interval meter according to a set time interval T0, and obtaining the electrical parameter information collected from the data reference source at a certain time interval T1, where T1 = T0 / n and n is a positive integer, and calculating the average active power P1, average reactive power Q1, average current I1, and average voltage U1. Combining the active power quantity, reactive power quantity, and electrical parameters of the metering interval meter, calculating the accuracy of each parameter data of the electric energy meter, and comparing it with the corresponding set threshold to determine whether the acquired power quantity data is abnormal.

[0004] In the above prior art, by calculating and analyzing the active power quantity, reactive power quantity, electrical parameters, etc. of the metering interval meter collected at a set time interval and the electrical parameter information collected from the data reference source, an accuracy value is obtained to determine whether its power quantity data is abnormal. However, in the above prior art, there is a lack of analysis of the synchronization of the acquired power quantity data, and it is impossible to ensure that the power quantity data of the metering interval meter and the electrical parameter information of the acquired data reference source are synchronized in time. If the synchronization of the acquired data in time cannot be ensured, it will lead to incorrect data calculation and analysis and misjudgment of abnormal power quantity data. That is to say, in the above prior art, when calculating and verifying the power quantity data, the necessary prerequisite for verification and analysis, that is, data synchronization, is lacking.

[0005] Therefore, the present invention provides a full-power acquisition data verification method and system. Summary of the Invention

[0006] In order to make up for the deficiencies of the prior art and solve at least one technical problem proposed in the background art.

[0007] The technical solution adopted by the present invention to solve its technical problems is: a full-power acquisition data verification method, including:

[0008] Within multiple historical verification cycles, obtain the timestamps of the electricity data of the metering interval meters collected at different collection moments within each historical verification cycle, as well as the timestamps of the electricity data of the data reference source, and conduct a comparison and analysis. Mark the historical verification cycle according to the analysis results to obtain a delayed verification cycle. Based on the analysis of the delayed verification cycle, obtain a delay performance value;

[0009] Compare the delay performance value with the delay performance threshold. If the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the electricity data of the metering interval meter and the electricity data of the data reference source is poor and there is a regular time deviation in the data update, and a regular asynchronous signal is generated;

[0010] Based on the regular asynchronous signal, obtain the acquisition interval time setting coefficient. Based on the acquisition interval time setting coefficient, collect the electricity data of the data reference source within the verification cycle, and combine it with the electricity data of the metering interval meter to calculate the data accuracy value. Compare the calculation result with the corresponding data accuracy threshold, and judge whether the electricity data of the metering interval meter and the electricity data of the data reference source match according to the comparison result, and mark the electricity data of the metering interval meter to obtain non-matching electricity data;

[0011] Obtain the proportion performance value of the non-matching electricity data within the verification cycle, compare the proportion performance value with the proportion performance threshold, and judge the data matching accuracy between the electricity data of the metering interval meter and the electricity data of the data reference source within the verification cycle.

[0012] As a further technical solution of the present invention: the process of obtaining the delayed verification cycle is as follows:

[0013] Obtain the ratio Ys of the number of abnormal timestamp groups, the ratio Dy of the number of the first timestamp groups, and the deviation performance value Bx of the first timestamp group, and conduct data processing. Through the formula: Obtain the time deviation performance value YB, where s1, s2, and s3 are all prediction proportionality coefficients;

[0014] Compare the time deviation performance value YB with the time deviation number performance threshold;

[0015] If the time deviation performance value YB is greater than or equal to the time deviation number performance threshold, mark its historical verification cycle as a delayed verification cycle.

[0016] As a further technical solution of the present invention: the method for obtaining the ratio Ys of the number of abnormal timestamp groups is as follows:

[0017] Integrate the timestamps of the electricity data of the metering interval meter and the timestamps of the electricity data of the data reference source collected at the same collection moment within the historical verification cycle into a timestamp group;

[0018] Compare the timestamps within the timestamp group:

[0019] If the timestamps within the timestamp group are not equal, mark the timestamp group as an abnormal timestamp group;

[0020] Obtain the number of abnormal timestamp groups within all timestamp groups, and perform a ratio process on the number of abnormal timestamp groups and the number of timestamp groups to obtain the ratio Ys of the number of abnormal timestamp groups.

[0021] The method for obtaining the first timestamp group ratio Dy is as follows:

[0022] Perform a difference process on the timestamps within the abnormal timestamp group to obtain the time deviation of the abnormal timestamp group.

[0023] If the time deviation is negative, mark the abnormal timestamp group as a negative abnormal timestamp group;

[0024] If the time deviation is positive, mark the abnormal timestamp group as a positive abnormal timestamp group;

[0025] Count the number of positive abnormal timestamp groups and negative abnormal timestamp groups within all abnormal timestamp groups. If the number of positive abnormal timestamp groups is greater than the number of negative abnormal timestamp groups, mark the positive abnormal timestamp group as the first timestamp group. If the number of positive abnormal timestamp groups is less than the number of negative abnormal timestamp groups, mark the negative abnormal timestamp group as the first timestamp group. Perform a ratio process on the number of the first timestamp group and the number of abnormal timestamp groups to obtain the first timestamp group ratio, and mark it as Dy.

[0026] As a further technical solution of the present invention: The method for obtaining the deviation performance value Bx of the first timestamp group is as follows:

[0027] Perform a difference process on the timestamps within the first timestamp group to obtain the time deviation of the first timestamp group. Sum and average the absolute values of the time deviations of all first timestamp groups to obtain the absolute average of the time deviation. Perform a difference process on the time deviation of the first timestamp group and the absolute average of the time deviation, and take the absolute value of the difference to obtain the relative time deviation of the first timestamp group. Sum and average the relative time deviations of all first timestamp groups to obtain the average relative time deviation of the first timestamp group. Perform a ratio process on the average relative time deviation of the first timestamp group and the absolute average of the time deviation to obtain the deviation performance value of the first timestamp group, and mark it as Bx.

[0028] As a further technical solution of the present invention: The method for obtaining the delay performance value is as follows:

[0029] Obtain the quantity ratio SL of the delay verification periods, the quantity ratio HD of the target delay verification periods, and the relative performance value XD of the target delay verification periods, and perform data processing. Through the formula: Obtain the delay performance value YC, where a1, a2, and a3 are all preset proportionality coefficients;

[0030] The method for obtaining the quantity ratio SL of the delay verification periods is as follows:

[0031] Obtain the quantity of its delay verification periods, and perform a ratio process on the quantity of the delay verification periods and the quantity of the historical verification periods to obtain the quantity ratio SL of the delay verification periods.

[0032] As a further technical solution of the present invention: the method for obtaining the quantity ratio HD of the target delay verification periods is as follows:

[0033] During the delay verification period, if the first timestamp group is a negative abnormal timestamp group, mark the delay verification period as a negative delay verification period; if the first timestamp group is a positive abnormal timestamp group, mark the delay verification period as a positive delay verification period;

[0034] Count the quantity of positive delay verification periods and the quantity of negative delay verification periods within all delay verification periods. If the quantity of positive delay verification periods is greater than the quantity of negative delay verification periods, mark the positive delay verification period as the target delay verification period; if the quantity of positive delay verification periods is less than the quantity of negative delay verification periods, mark the negative delay verification period as the target delay verification period. Perform a ratio process on the quantity of the target delay verification periods and the quantity of the delay verification periods to obtain the quantity ratio HD of the target delay verification periods.

[0035] As a further technical solution of the present invention: the method for obtaining the relative performance value XD of the target delay verification periods is as follows:

[0036] Obtain the deviation performance value Bx of the first timestamp group within the target delay verification period, sum up and take the average of the deviation performance values Bx of the first timestamp group within all target delay verification periods to obtain the average deviation performance of the target delay verification periods. Perform a difference process on the deviation performance value Bx of the first timestamp group within the target delay verification period and the average deviation performance, and take the absolute value of the result to obtain the relative performance difference of the target delay verification periods. Sum up and take the average of the relative performance differences of all target delay verification periods to obtain the average relative performance difference of the target delay verification periods. Perform a ratio process on the average relative performance difference of the target delay verification periods and the average deviation performance of the target delay verification periods to obtain the relative performance value XD of the target delay verification periods.

[0037] As a further technical solution of the present invention: the acquisition interval time setting coefficient includes an acquisition interval time setting value;

[0038] The acquisition method of the set value of the acquisition interval time is as follows:

[0039] Obtain the target delay verification period. If the target delay verification period is a negative delay verification period, obtain the interval time of the power consumption data of the acquisition metering interval meter within the historical verification period, and mark it as T 0， Take the absolute value of the time deviation of all abnormal timestamp groups within the target delay verification period and perform an averaging process to obtain the average time deviation within the target delay verification period. Sum and average all the average time deviations within the target delay verification period to obtain the overall average time deviation within the target delay verification period, and mark it as T1. Through the formula: T 设定 = T0 + T1 to obtain the set value T of the acquisition interval time 设定 ;

[0040] If the target delay verification period is a positive delay verification period, then T 设定 = T0 - T1 to obtain the set value T of the acquisition interval time 设定 .

[0041] As a further technical solution of the present invention: The acquisition method of the proportion performance value is as follows:

[0042] Through the formula: Calculate to obtain the data accuracy value ZQ, where jg represents the power consumption data of the metering interval meter, and ck represents the power consumption data of the data reference source;

[0043] Compare the data accuracy value with the data accuracy threshold:

[0044] If the data accuracy value is greater than the data accuracy threshold, it means that the power consumption data of the metering interval meter does not match the power consumption data of the data reference source, then mark the power consumption data of its metering interval meter as non-matching power consumption data;

[0045] Obtain the number of non-matching power consumption data among the power consumption data of the collected metering interval meters, and perform a ratio process with the number of the power consumption data of the collected metering interval meters to obtain the ratio of the number of non-matching power consumption data;

[0046] Perform a difference process on the data accuracy value corresponding to the non-matching power consumption data and the data accuracy threshold to obtain the data accuracy deviation. Sum and average all the data accuracy deviations to obtain the average data accuracy deviation. Perform a ratio process on the average data accuracy deviation and the data accuracy threshold to obtain the average ratio of the data accuracy deviation;

[0047] Mark the ratio of the number of non-matching power consumption data as WH, and mark the average ratio of the data accuracy deviation as JZ;

[0048] Through the formula: The proportion performance value ZBs is obtained, where z1 and z2 are both preset proportionality coefficients.

[0049] A full-power acquisition data verification system includes:

[0050] Synchronization analysis module: In multiple historical verification cycles, obtain the timestamps of the power data of the metering interval meters collected at different collection times in each historical verification cycle, as well as the timestamps of the power data of the data reference source, and perform comparison and analysis, mark its historical verification cycle to obtain a delay verification cycle, analyze the delay verification cycle to obtain a delay performance value, compare the delay performance value with the delay performance threshold. If the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the power data of the metering interval meter and the power data of the data reference source is poor and there is a regular time deviation in data update, and a regular asynchronous signal is generated;

[0051] Acquisition control module: Based on the regular asynchronous signal, obtain the acquisition interval time setting coefficient, and collect the power data of the data reference source according to the acquisition interval time setting coefficient to improve the accuracy of power data verification;

[0052] Data marking module: Based on the acquisition interval time setting coefficient, collect the power data of the data reference source within the verification cycle, combine it with the power data of the metering interval meter, calculate the data accuracy value, and compare the calculation result with the corresponding data accuracy threshold. According to the comparison result, judge whether the power data of the metering interval meter and the power data of the data reference source match, and mark the power data of the metering interval meter to obtain non-matching power data;

[0053] Data matching analysis and evaluation module: Obtain the proportion performance value of the non-matching power data within the verification cycle, compare the proportion performance value with the proportion performance threshold, and judge the data matching accuracy between the power data of the metering interval meter and the power data of the data reference source within the verification cycle.

[0054] The beneficial effects of the present invention are as follows:

[0055] 1. During multiple historical verification cycles, obtain the timestamps of the electricity data of the metering interval meters collected at different collection moments within each historical verification cycle. At the same time, obtain the timestamps of the electricity data of the collected data reference source at different collection moments. Based on the comparison and analysis of the timestamps of the electricity data of the metering interval meters and the timestamps of the electricity data of the data reference source, mark its historical verification cycle to obtain a delay verification cycle. Based on the analysis of the delay verification cycle, obtain a delay performance value. Compare the delay performance value with a delay performance threshold. If the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the electricity data of the metering interval meter and the electricity data of the data reference source is poor and there is a regular time deviation in data update. Generate a regular asynchronous signal. Based on the regular asynchronous signal, obtain a collection interval time setting coefficient, and collect the electricity data of the data reference source according to the collection interval time setting coefficient to improve the accuracy of electricity data verification.

[0056] 2. Based on the collection interval time setting coefficient, the present invention collects the electricity data of the data reference source within the verification cycle, combines the electricity data of the metering interval meter, calculates the data accuracy value, and compares the calculation result with the corresponding data accuracy threshold. According to the comparison result, determine whether the electricity data of the metering interval meter and the electricity data of the data reference source match, and mark the electricity data of the metering interval meter to obtain non-matching electricity data. Obtain the proportion performance value of the non-matching electricity data within the verification cycle, compare the proportion performance value with a proportion performance threshold, and judge the data matching accuracy between the electricity data of the metering interval meter and the electricity data of the data reference source within the verification cycle, realizing single verification and overall verification of electricity data. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The present invention will be further described below with reference to the accompanying drawings.

[0058] Figure 1 is the flowchart of Embodiment 1 of the present invention;

[0059] Figure 2 is the flowchart of Embodiment 2 of the present invention;

[0060] Figure 3 is the system module diagram of Embodiment 3 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0061] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments. Embodiment 1

[0062] As Figure 1As shown in the figure, a method for verifying all - power - collected data according to an embodiment of the present invention includes:

[0063] Step 1: In multiple historical verification cycles, obtain the timestamps of the power data of the metering interval meters collected at different collection times within each historical verification cycle. At the same time, obtain the timestamps of the power data of the data reference source at different collection times. Based on the comparison and analysis of the timestamps of the power data of the metering interval meters and the timestamps of the power data of the data reference source, mark the historical verification cycle, obtain the delayed verification cycle. Based on the analysis of the delayed verification cycle, obtain the delay performance value. Compare the delay performance value with the delay performance threshold. If the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the power data of the metering interval meters and the power data of the data reference source is poor and there is a regular time deviation in data update, and a regular non - synchronization signal is generated;

[0064] Among them, the power data of the metering interval meters and the power data of the data reference source include, but are not limited to, current, voltage, active power, and reactive power;

[0065] It should be noted that the historical verification cycle represents the duration for which power data needs to be verified according to the verification requirements in the past. The collection times of the power data of the metering interval meters and the power data of the data reference source are the same;

[0066] In some embodiments, integrate the timestamps of the power data of the metering interval meters collected at the same collection time within the historical verification cycle with the timestamps of the power data of the data reference source into a timestamp group;

[0067] Compare the timestamps within the timestamp group:

[0068] If the timestamps within the timestamp group are not equal, mark the timestamp group as an abnormal timestamp group;

[0069] If the timestamps within the timestamp group are equal, mark the timestamp group as a normal timestamp group;

[0070] Obtain the number of abnormal timestamp groups within all timestamp groups, perform a ratio process on the number of abnormal timestamp groups and the number of timestamp groups to obtain the ratio of the number of abnormal timestamp groups, and mark it as Ys;

[0071] Perform a difference process on the timestamps within the abnormal timestamp group to obtain the time deviation of the abnormal timestamp group;

[0072] Among them, the time deviation of the abnormal timestamp group = the timestamp of the power data of the metering interval meter - the timestamp of the power data of the data reference source;

[0073] If the time deviation is negative, mark its abnormal timestamp group as a negative abnormal timestamp group;

[0074] If the time deviation is positive, mark its abnormal timestamp group as a positive abnormal timestamp group;

[0075] Count the number of positive abnormal timestamp groups and negative abnormal timestamp groups within all abnormal timestamp groups. If the number of positive abnormal timestamp groups is greater than the number of negative abnormal timestamp groups, mark the positive abnormal timestamp group as the first timestamp group. If the number of positive abnormal timestamp groups is less than the number of negative abnormal timestamp groups, mark the negative abnormal timestamp group as the first timestamp group. Calculate the ratio of the number of the first timestamp group to the number of abnormal timestamp groups to obtain the first timestamp group quantity ratio and mark it as Dy;

[0076] It should be noted that if the number of positive abnormal timestamp groups is equal to the number of negative abnormal timestamp groups, stop analyzing the timestamp groups within this historical verification period and analyze the timestamp groups within the next historical verification period;

[0077] Obtain the time deviations of all the first timestamp groups, sum and average them after taking the absolute value to obtain the absolute average of the time deviations. Calculate the difference between the time deviation of the first timestamp group and the absolute average of the time deviations, and take the absolute value of the difference to obtain the relative time deviation of the first timestamp group. Sum and average the relative time deviations of all the first timestamp groups to obtain the average relative time deviation of the first timestamp group. Calculate the ratio of the average relative time deviation of the first timestamp group to the absolute average of the time deviations to obtain the deviation performance value of the first timestamp group and mark it as Bx;

[0078] Perform data processing on the obtained abnormal timestamp group quantity ratio Ys, the first timestamp group quantity ratio Dy, and the deviation performance value Bx of the first timestamp group. Through the formula: Obtain the time deviation performance value YB, where s1, s2, and s3 are all prediction proportionality coefficients;

[0079] In some embodiments, compare the time deviation performance value YB with the time deviation number performance threshold;

[0080] If the time deviation performance value YB is greater than or equal to the time deviation number performance threshold, it indicates that within the historical verification period, the time deviation between the electricity quantity data of the metering interval meter collected at the same collection moment and the electricity quantity data of the data reference source is large, the synchronization is low, and the consistency of the time deviation between them within the historical verification period is high, with a regular time deviation. Then mark its historical verification period as a delay verification period;

[0081] If the time deviation performance value YB is less than the time deviation number performance threshold, it means that within the historical verification period, the power consumption data of the metering interval meter collected at the same collection moment and the power consumption data of the data reference source have a small time deviation, high synchronization, and a low consistency of the time deviation between them within the historical verification period. There is no regular time deviation. Then, mark its historical verification period as a delayed verification period, or mark its historical verification period as a non-delayed verification period;

[0082] Obtain the number of delayed verification periods, perform a ratio process on the number of delayed verification periods and the number of historical verification periods to obtain the ratio of the number of delayed verification periods, and mark it as SL;

[0083] Within the delayed verification period, if the first timestamp group is a negative abnormal timestamp group, mark the delayed verification period as a negative delayed verification period. If the first timestamp group is a positive abnormal timestamp group, mark the delayed verification period as a positive delayed verification period;

[0084] Count the number of positive delayed verification periods and negative delayed verification periods within all delayed verification periods. If the number of positive delayed verification periods is greater than the number of negative delayed verification periods, mark the positive delayed verification period as the target delayed verification period. If the number of positive delayed verification periods is less than the number of negative delayed verification periods, mark the negative delayed verification period as the target delayed verification period. Perform a ratio process on the number of target delayed verification periods and the number of delayed verification periods to obtain the ratio of the number of target delayed verification periods, and mark it as HD;

[0085] It should be noted that if the number of positive delayed verification periods is equal to the number of negative delayed verification periods, it is determined that the data update synchronization between the power consumption data of the metering interval meter and the power consumption data of the data reference source is good and there is no regular time deviation in data update;

[0086] Obtain the deviation performance value Bx of the first timestamp group within the target delayed verification period, sum and average the deviation performance values Bx of the first timestamp group within all target delayed verification periods to obtain the average deviation performance of the target delayed verification period. Perform a difference process on the deviation performance value Bx of the first timestamp group within the target delayed verification period and the average deviation performance, and take the absolute value of the result to obtain the relative performance difference of the target delayed verification period. Sum and average the relative performance differences of all target delayed verification periods to obtain the average relative performance difference of the target delayed verification period. Perform a ratio process on the average relative performance difference of the target delayed verification period and the average deviation performance of the target delayed verification period to obtain the relative performance value of the target delayed verification period, and mark it as XD;

[0087] Perform data processing on the obtained ratio SL of the number of delay verification cycles, the ratio HD of the number of target delay verification cycles, and the relative performance value XD of the target delay verification cycle. Through the formula: Obtain the delay performance value YC, where a1, a2, and a3 are all preset proportionality coefficients;

[0088] In some embodiments, compare the delay performance value with the delay performance threshold:

[0089] If the delay performance value is greater than or equal to the delay performance threshold, it means that within multiple historical verification cycles, the time deviation between the power consumption data of the metering interval meter collected at the same collection moment and the power consumption data of the data reference source is large, the synchronization is low, and the consistency of the time deviation between them within multiple historical verification cycles is high, there is a regular time deviation, and a regular asynchronous signal is generated;

[0090] If the delay performance value is less than the delay performance threshold, it means that within multiple historical verification cycles, the time deviation between the power consumption data of the metering interval meter collected at the same collection moment and the power consumption data of the data reference source is small, the synchronization is high, and the consistency of the time deviation between them within the historical verification cycle is low, and there is no regular time deviation;

[0091] Step 2: Based on the regular asynchronous signal, obtain the acquisition interval time setting coefficient, and collect the power consumption data of the data reference source according to the acquisition interval time setting coefficient to improve the accuracy of power consumption data verification;

[0092] Among them, the acquisition interval time setting coefficient includes the acquisition interval time setting value;

[0093] Specifically, obtain the target delay verification cycle. If the target delay verification cycle is a negative delay verification cycle, obtain the interval time for collecting the power consumption data of the metering interval meter within the historical verification cycle, and mark it as T0. Take the absolute value of the time deviation of all abnormal timestamp groups within the target delay verification cycle and perform an averaging process to obtain the average time deviation within the target delay verification cycle. Sum and average the average time deviations within all target delay verification cycles to obtain the overall average time deviation within the target delay verification cycle, and mark it as T1. Through the formula: T 设定 = T0 + T1 to obtain the acquisition interval time setting value T 设定 ;

[0094] If the target delay verification cycle is a positive delay verification cycle, then T 设定 = T0 - T1 to obtain the acquisition interval time setting value T 设定 ;

[0095] The technical solution of the embodiment of the present invention is as follows: within multiple historical verification cycles, obtain the timestamps of the electricity quantity data of the metering interval meters collected at different collection moments within each historical verification cycle. At the same time, obtain the timestamps of the electricity quantity data of the collected data reference source at different collection time delay verification moments. Based on the comparison and analysis of the timestamps of the electricity quantity data of the metering interval meters and the timestamps of the electricity quantity data of the data reference source, mark its historical verification cycle, obtain, based on the analysis of the time delay verification cycle, obtain the time delay performance value, compare the time delay performance value with the time delay performance threshold. If the time delay performance value is greater than or equal to the time delay performance threshold, it is determined that the data update synchronization between the electricity quantity data of the metering interval meter and the electricity quantity data of the data reference source is poor and there is a regular time deviation in data update, generate a regular asynchronous signal, based on the regular asynchronous signal, obtain the acquisition interval time setting coefficient, and collect the electricity quantity data of the data reference source according to the acquisition interval time setting coefficient to improve the accuracy of electricity quantity data verification. Embodiment 2

[0096] As Figure 2 shown, based on Embodiment 1, a full-electricity acquisition data verification method described in an embodiment of the present invention includes:

[0097] Step 3: Based on the acquisition interval time setting coefficient, collect the electricity quantity data of the data reference source within the verification cycle, and combine the electricity quantity data of the metering interval meter to calculate the data accuracy value, and compare the calculation result with the corresponding data accuracy threshold. According to the comparison result, determine whether the electricity quantity data of the metering interval meter and the electricity quantity data of the data reference source match, and mark the electricity quantity data of the metering interval meter to obtain non-matching electricity quantity data;

[0098] It should be noted that within the verification cycle, the electricity quantity data of the data reference source is collected according to the interval time setting coefficient T 设定 data acquisition, and the electricity quantity data of the metering interval meter is collected according to T0;

[0099] Specifically, the calculation of the data accuracy value is as follows:

[0100] Through the formula: Calculate the data accuracy value ZQ, where jg represents the electricity quantity data of the metering interval meter, and ck represents the electricity quantity data of the data reference source;

[0101] Compare the data accuracy value with the data accuracy threshold:

[0102] If the data accuracy value is greater than the data accuracy threshold, it means that the electricity quantity data of the metering interval meter and the electricity quantity data of the data reference source do not match, then mark the electricity quantity data of the metering interval meter as non-matching electricity quantity data;

[0103] If the data accuracy value is less than or equal to the data accuracy threshold, it indicates that the electricity quantity data of the metering interval meter coincides with the electricity quantity data of the data reference source, and then it is marked as the coincident electricity quantity data;

[0104] It should be noted that the data accuracy threshold includes the voltage accuracy threshold, the current accuracy threshold, and the power accuracy threshold. Among them, the voltage accuracy threshold is used when the electricity quantity data is voltage, the current accuracy threshold is used when the electricity quantity data is current, and the power accuracy threshold is used when the electricity quantity data is active power or reactive power. For the acquisition method of the data accuracy threshold, an exemplary description is as follows:

[0105] The setting method of the power accuracy threshold is: According to the electricity meter accuracy Lm, the data current accuracy Li of the data reference source, and the voltage accuracy, determine the power accuracy threshold = (1 - Lm) / (1 - Li) * (1 - Lu) - 1;

[0106] The setting method of the current accuracy threshold is: According to the electricity meter accuracy Lm and the data current accuracy Li of the data reference source, determine the current accuracy threshold = (1 + Lm) / (1 - Li) - 1;

[0107] The setting method of the voltage accuracy threshold is: According to the electricity meter accuracy Lm and the data voltage accuracy Lu of the data reference source, determine the voltage accuracy threshold = (1 + Lm) / (1 - Lu) - 1;

[0108] Step Four: Obtain the proportion performance value of the non - coincident electricity quantity data within the verification period, compare the proportion performance value with the proportion performance threshold, and judge the data coincidence accuracy between the electricity quantity data of the metering interval meter and the electricity quantity data of the data reference source within the verification period;

[0109] Obtain the quantity of the non - coincident electricity quantity data in the electricity quantity data of the collected metering interval meter, and perform a ratio process with the quantity of the electricity quantity data of the collected metering interval meter to obtain the quantity ratio of the non - coincident electricity quantity data;

[0110] Perform a difference process on the data accuracy value corresponding to the non - coincident electricity quantity data and the data accuracy threshold to obtain the data accuracy deviation. Sum and average all the data accuracy deviations to obtain the average value of the data accuracy deviation. Perform a ratio process on the average value of the data accuracy deviation and the data accuracy threshold to obtain the average ratio of the data accuracy deviation;

[0111] Mark the quantity ratio of the non - coincident electricity quantity data as WH, and mark the average ratio of the data accuracy deviation as JZ;

[0112] Through the formula: Obtain the proportion performance value ZBs, where z1 and z2 are both preset proportional coefficients;

[0113] In some embodiments, the proportion performance value is compared with the proportion performance threshold;

[0114] If the proportion performance value is greater than the proportion performance threshold, it indicates that the data matching accuracy between the electricity quantity data of the metering interval meter and the electricity quantity data of the data reference source during the verification period is low;

[0115] If it is less than or equal to the proportion performance threshold, it indicates that the data matching accuracy between the electricity quantity data of the metering interval meter and the electricity quantity data of the data reference source during the verification period is high.

[0116] The technical solution of the embodiment of the present invention is as follows: Based on the acquisition interval time setting coefficient, the electricity quantity data of the data reference source is collected during the verification period, and combined with the electricity quantity data of the metering interval meter, the data accuracy value is calculated, and the calculation result is compared with the corresponding data accuracy threshold. According to the comparison result, it is judged whether the electricity quantity data of the metering interval meter and the electricity quantity data of the data reference source match, and the electricity quantity data of the metering interval meter is marked to obtain the non-matching electricity quantity data. The proportion performance value of the non-matching electricity quantity data during the verification period is obtained, and the proportion performance value is compared with the proportion performance threshold to judge the data matching accuracy between the electricity quantity data of the metering interval meter and the electricity quantity data of the data reference source during the verification period, realizing the single verification and overall verification of the electricity quantity data. Embodiment 3

[0117] As Figure 3 shown, a full-electricity acquisition data verification system described in an embodiment of the present invention includes:

[0118] Synchronization analysis module: In multiple historical verification periods, obtain the timestamps of the electricity quantity data of the metering interval meter collected at different acquisition times in each historical verification period. At the same time, obtain the timestamps of the electricity quantity data of the collected data reference source at different acquisition times. Based on the comparison and analysis of the timestamps of the electricity quantity data of the metering interval meter and the timestamps of the electricity quantity data of the data reference source, mark the historical verification period to obtain the delayed verification period. Based on the analysis of the delayed verification period, obtain the delay performance value, and compare the delay performance value with the delay performance threshold. If the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the electricity quantity data of the metering interval meter and the electricity quantity data of the data reference source is poor and there is a regular time deviation in data update, and a regular non-synchronization signal is generated;

[0119] Acquisition control module: Based on the regular non-synchronization signal, obtain the acquisition interval time setting coefficient, and collect the electricity quantity data of the data reference source according to the acquisition interval time setting coefficient to improve the accuracy of electricity quantity data verification;

[0120] Data marking module: Set coefficients based on the acquisition interval time, collect the power data of the data reference source within the verification period, combine with the power data of the metering interval meter, calculate the data accuracy value, compare the calculation result with the corresponding data accuracy threshold, judge whether the power data of the metering interval meter and the power data of the data reference source match according to the comparison result, and mark the power data of the metering interval meter to obtain non-matching power data;

[0121] Data matching analysis and evaluation module: Obtain the proportion performance value of non-matching power data within the verification period, compare the proportion performance value with the proportion performance threshold, and judge the data matching accuracy between the power data of the metering interval meter and the power data of the data reference source within the verification period.

[0122] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for checking the collected full - power data, characterized in that: Including: Within multiple historical verification cycles, obtain the timestamps of the electricity data of the metering interval meters collected at different collection moments within each historical verification cycle, as well as the timestamps of the electricity data of the data reference source, and conduct comparison and analysis. Mark the historical verification cycle according to the analysis result to obtain a delayed verification cycle. Based on the analysis of the delayed verification cycle, obtain a delay performance value; Obtain the number ratio Ys of the abnormal timestamp groups, the number ratio Dy of the first timestamp groups, and the deviation performance value Bx of the first timestamp groups, and perform data processing. Through the formula: Obtain the time deviation performance value YB, where s1, s2, and s3 are all prediction proportionality coefficients; If the time deviation performance value YB is greater than or equal to the time deviation number performance threshold, mark its historical verification cycle as a delayed verification cycle; Integrate the timestamps of the electricity data of the metering interval meters collected at the same collection moment within the historical verification cycle with the timestamps of the electricity data of the data reference source into a timestamp group; Record the ratio of the number of abnormal timestamp groups in the timestamp group to the number of timestamp groups as the number ratio Ys of the abnormal timestamp groups; Based on the ratio of the number of the first timestamp groups corresponding to the time deviations of the abnormal timestamp groups in different states to the number of the abnormal timestamp groups, record it as the first timestamp group number ratio Dy; Perform a ratio process on the relative deviation mean value and the absolute deviation mean value of the time of the first timestamp group to obtain the deviation performance value Bx of the first timestamp group; Obtain the quantity ratio SL of the delay verification period, the quantity ratio HD of the target delay verification period, and the relative performance value XD of the target delay verification period, and perform data processing. Through the formula: Obtain the delay performance value YC, where a1, a2, and a3 are all preset proportionality coefficients; Perform a ratio process on the number of delayed verification cycles to the number of historical verification cycles to obtain the number ratio SL of the delayed verification cycles; Perform a ratio process on the number of target delayed verification cycles to the number of delayed verification cycles to obtain the number ratio HD of the target delayed verification cycles; Perform a ratio process on the relative performance difference mean value and the deviation performance mean value of the target delayed verification cycle to obtain the relative performance value XD of the target delayed verification cycle; Compare the delay performance value with the delay performance threshold. If the delay performance value is greater than or equal to the delay performance threshold, it is determined that the data update synchronization between the electricity data of the metering interval meter and the electricity data of the data reference source is poor and there is a regular time deviation in the data update, and a regular asynchronous signal is generated; Based on the regular asynchronous signal, obtain a collection interval time setting coefficient. Based on the collection interval time setting coefficient, collect the electricity data of the data reference source within the verification cycle, and combine it with the electricity data of the metering interval meter to calculate the data accuracy value, and compare the calculation result with the corresponding data accuracy threshold. Judge whether the electricity data of the metering interval meter and the electricity data of the data reference source match, and mark the electricity data of the metering interval meter to obtain non-matching electricity data; Obtain the proportion performance value of the non-matching electricity data within the verification cycle, compare the proportion performance value with the proportion performance threshold, and judge the data matching and accuracy degree between the electricity data of the metering interval meter and the electricity data of the data reference source within the verification cycle.

2. The full-electricity collection data verification method according to claim 1, wherein: Compare the timestamps within the timestamp group: If the timestamps within the timestamp group are not equal, mark the timestamp group as an abnormal timestamp group; Perform a difference process on the timestamps within the abnormal timestamp group to obtain the time deviation of the abnormal timestamp group; If the time deviation is negative, mark its abnormal timestamp group as a negative abnormal timestamp group; If the time deviation is positive, mark its abnormal timestamp group as a positive abnormal timestamp group; Count the number of positive abnormal timestamp groups and negative abnormal timestamp groups within all abnormal timestamp groups. If the number of positive abnormal timestamp groups is greater than the number of negative abnormal timestamp groups, mark the positive abnormal timestamp group as the first timestamp group. If the number of positive abnormal timestamp groups is less than the number of negative abnormal timestamp groups, mark the negative abnormal timestamp group as the first timestamp group.

3. A method for checking all - electricity - collection data according to claim 1, characterized in that: Perform difference processing on the timestamps within the first timestamp group to obtain the time deviation of the first timestamp group. After taking the absolute value of the time deviations of all first timestamp groups, perform summation and averaging processing to obtain the absolute mean of the time deviation. Perform difference processing on the time deviation of the first timestamp group and the absolute mean of the time deviation, and take the absolute value of the difference to obtain the relative time deviation of the first timestamp group. Perform summation and averaging on the relative time deviations of all first timestamp groups to obtain the mean of the relative time deviations of the first timestamp group.

4. A method for checking all - electricity - collection data according to claim 1, characterized in that: During the delay check period, if the first timestamp group is a negative abnormal timestamp group, mark the delay check period as a negative delay check period. If the first timestamp group is a positive abnormal timestamp group, mark the delay check period as a positive delay check period; Count the number of positive delay check periods and negative delay check periods within all delay check periods. If the number of positive delay check periods is greater than the number of negative delay check periods, mark the positive delay check period as the target delay check period. If the number of positive delay check periods is less than the number of negative delay check periods, mark the negative delay check period as the target delay check period.

5. A method for checking all - electricity - collection data according to claim 1, characterized in that: Obtain the deviation performance value Bx of the first timestamp group within the target delay check period. Perform summation and averaging on the deviation performance values Bx of the first timestamp group within all target delay check periods to obtain the mean of the deviation performance of the target delay check period. Perform difference processing on the deviation performance value Bx of the first timestamp group within the target delay check period and the mean of the deviation performance, and take the absolute value of the result to obtain the relative performance difference of the target delay check period. Perform summation and averaging on the relative performance differences of all target delay check periods to obtain the mean of the relative performance differences of the target delay check period.

6. A method for checking all - electricity - collection data according to claim 1, characterized in that: The acquisition interval time setting coefficient includes an acquisition interval time setting value; The acquisition method of the acquisition interval time setting value is: Obtain the target delay verification period. If the target delay verification period is a negative delay verification period, obtain the interval time of the power consumption data of the metering interval meter collected within the historical verification period and mark it as T 0， Take the absolute value of the time deviation of all abnormal timestamp groups within the target delay verification period and then calculate the average value to obtain the average time deviation within the target delay verification period. Sum up and average all the average time deviations within the target delay verification period to obtain the overall average time deviation within the target delay verification period, and mark it as T1. Through the formula: T 设定 =T0 + T1 to obtain the acquisition interval time setting value T 设定 ; If the target delay verification period is a positive delay verification period, then T 设定 = T0 - T1 to obtain the set value T of the acquisition interval time 设定 .

7. A method for checking all - electricity - collection data according to claim 1, characterized in that: The acquisition method of the proportion performance value is: Through the formula: The data accuracy value ZQ is calculated, where jg represents the electricity quantity data of the metering interval meter, and ck represents the electricity quantity data of the data reference source; Compare the data accuracy value with the data accuracy threshold: If the data accuracy value is greater than the data accuracy threshold, it indicates that the electricity data of the metering interval meter does not match the electricity data of the data reference source, and the electricity data of its metering interval meter is marked as non-matching electricity data; Obtain the quantity of non-matching electricity data in the electricity data of the collected metering interval meter, and perform a ratio process with the quantity of the electricity data of the collected metering interval meter to obtain the quantity ratio of non-matching electricity data; Perform a difference process on the data accuracy value corresponding to the non-matching electricity data and the data accuracy threshold to obtain the data accuracy deviation. Sum and average all the data accuracy deviations to obtain the average data accuracy deviation. Perform a ratio process on the average data accuracy deviation and the data accuracy threshold to obtain the average data accuracy deviation ratio; Mark the quantity ratio of non-matching electricity data as WH and mark the average data accuracy deviation ratio as JZ; Through the formula: The proportion performance value ZBs is obtained, where both z1 and z2 are preset proportionality coefficients.

8. A full-power acquisition data verification system, which is used to implement the data verification method described in any one of claims 1-7, and is characterized in that: Include: Synchronous analysis module: In multiple historical verification cycles, obtain the timestamps of the electricity data of the metering interval meter and the timestamps of the electricity data of the data reference source collected at different collection times in each historical verification cycle, and perform a comparison and analysis. Mark its historical verification cycle to obtain a delayed verification cycle. Based on the analysis of the delayed verification cycle, obtain the delayed performance value. Compare the delayed performance value with the delayed performance threshold. If the delayed performance value is greater than or equal to the delayed performance threshold, it is determined that the data update synchronization between the electricity data of the metering interval meter and the electricity data of the data reference source is poor and there is a regular time deviation in data update, and a regular non-synchronous signal is generated; Collection control module: Based on the regular non-synchronous signal, obtain the collection interval time setting coefficient, and collect the electricity data of the data reference source according to the collection interval time setting coefficient to improve the accuracy of electricity data verification; Data marking module: Based on the collection interval time setting coefficient, collect the electricity data of the data reference source within the verification cycle, and combine it with the electricity data of the metering interval meter to calculate the data accuracy value, and compare its calculation result with the corresponding data accuracy threshold. According to the comparison result, judge whether the electricity data of the metering interval meter matches the electricity data of the data reference source, and mark the electricity data of the metering interval meter to obtain non-matching electricity data; Data matching analysis and evaluation module: Obtain the proportion performance value of non-matching electricity data within the verification cycle, compare the proportion performance value with the proportion performance threshold, and judge the data matching accuracy between the electricity data of the metering interval meter and the electricity data of the data reference source within the verification cycle.

Images