Charging pile group error characteristic control method, device and equipment based on mean-range inspection and medium

Abstract

The invention provides a charging pile group error characteristic control method, device and equipment based on mean-range inspection and a medium, and relates to the technical field of charging pile verification. The method comprises the following steps: S101, calculating a virtual inspection standard value in a charging pile group metering guarantee scheme; s102, calculating process parameters of a virtual checking standard in the charging pile group metering guarantee scheme based on the virtual checking standard value; s103, controlling the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; in the control process, if it is found that all pile errors of the charging pile group exceed the control limit, process parameters of the virtual checking standard in the charging pile group metering guarantee scheme are corrected. The method has the advantages that the error characteristic of the charging pile group is monitored, the error of each pile of the charging pile group is monitored, the effectiveness of the virtual verification standard is ensured, and the verification efficiency of the charging piles is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile verification, and particularly relates to a method, device, equipment and medium for controlling the error characteristics of a charging pile group based on mean-range inspection. Background Art

[0002] At present, the number of new energy electric vehicles is increasing continuously, and the operation and service of electric vehicle charging facilities have received increasing attention, mainly reflected in the metering accuracy and charging safety of charging facilities. The metering accuracy of charging facilities directly determines the fairness and reliability of charging trade settlement, and ultimately determines whether the electric vehicle industry can develop healthily.

[0003] A metrology assurance program (MAP) refers to a quality assurance program for the metrology process. This program can quantitatively determine the total measurement uncertainty (including random error and systematic error components) of the metrology process relative to the national reference or other specified standards, and verify whether the total uncertainty meets the user requirements. The metrology assurance program system refers to a management system that ensures the quality of the metrology process through a series of planned and systematic activities, so that the metrology results can meet the predetermined requirements. Its advantages are as follows: Improve measurement quality: Through a closed-loop feedback mechanism, comprehensively evaluate the entire measurement process to ensure the accuracy and consistency of the quantity transfer.

[0004] Reduce costs: Simplifying the application of the metrology assurance program can reduce the implementation cost while ensuring the measurement quality.

[0005] Enhance traceability: Establish a complete metrology chain to ensure that the metrology results can be traced back to national or international standards.

[0006] However, the existing charging pile verification is divided into manual verification and data-driven verification methods. Manual verification faces problems such as high cost, low efficiency, heavy tasks, and shortage of personnel, and is not suitable for the verification of a large number of charging piles. Using data-driven verification is an effective way to improve the verification efficiency of a large number of charging piles. Currently, data-driven verification methods include methods based on energy conservation and methods of vehicle-pile data interaction. However, these methods still follow the traditional single-verification idea, using the error calculation algorithm as a virtual measuring instrument, and cannot continuously monitor the changing trend of the charging pile group error, making it difficult to effectively ensure the continuous control of the charging pile error characteristics during daily use.

[0007] Therefore, how to provide a method, device, equipment and medium for controlling the error characteristics of a charging pile group based on mean-range inspection, realizing the monitoring of the error characteristics of the charging pile group, monitoring the errors of each charging pile in the charging pile group, ensuring the effectiveness of the virtual verification standard, and greatly improving the verification efficiency of charging piles has become an urgent technical problem to be solved. Summary of the Invention

[0008] The technical problem to be solved by the present invention is to provide a control method, device, equipment and medium for the error characteristics of a charging pile group based on the mean-range test, which is realized based on the metrological assurance scheme system. By using the electric energy measurement data of the total station meter of the charging station and the electric energy measurement data of each charging pile in the station pile group, a virtual verification standard value is established based on energy conservation, and then the process parameters of the virtual verification standard are calculated, including the within-group mean Aj c , range Rj c , between-group mean A c , average range R c , to form a virtual verification standard model to control the error characteristics of the charging pile group, and use a sampling plan for manual verification or an internal standard module to update the control process of the charging pile group of the metrological assurance scheme system.

[0009] In the first aspect, the present invention provides a control method for the error characteristics of a charging pile group based on the mean-range test, including the following steps: S101. Calculate the virtual verification standard value in the metrological assurance scheme of the charging pile group, The calculation method of the virtual verification standard value in the metrological assurance scheme of the charging pile group is: ; In the formula, the subscript k represents the kth calculation, where k≥2; A i is the β th element of the matrix i , representing the solution error coefficient of the ith charging pile; the matrix β refers to the solution error coefficient matrix of each charging pile in the charging pile group, and the matrix β The calculation formula of is: ; In the formula, the superscript T represents matrix transpose; the matrices E and E t are respectively: , ; Among them, the element E t in the matrix E tx is the reading of the total station meter of the charging station at the x th moment; ε 0 is the fixed loss in the charging station; 1 N×1 is a full 1 matrix with N rows and 1 column; the element E in the matrix E xi is the reading of the i th pile in the charging station at the x th moment;η i For the AC / DC conversion efficiency of the i th pile, if it is an AC pile, then η i = 1; One measurement includes N moments, x = 1, 2, … N; At each moment, a total of n pile data are measured i = 1, 2, … n ; Among them, the number of moments N > the number of charging piles n; S102. Calculate the process parameters of the virtual verification standard in the metrological assurance plan for the charging pile group based on the virtual verification standard value.

[0010] The charging pile group is divided into J charging pile groups. For the jth group of charging piles, 1 ≤ j ≤ J; The process parameters of the virtual verification standard in the metrological assurance plan for the charging pile group include the within-group mean , range , between-group mean A c , average range R c ; Among them, the calculation method of the within-group mean of the jth group is: ; In the formula, M is the number of within-group measurements; is the verification standard acceptance value obtained from the kth measurement of the jth group, and the calculation method is: ; The within-group range of the jth group is calculated as: ; In the formula, max and min represent finding the maximum and minimum values respectively; The between-group mean A c is calculated as: ; In the formula, J is the number of measurement groups; The average range R c is calculated as: ; S103. Control the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; During the control process, if it is found that the errors of all piles in the charging pile group exceed the control limit, the process parameters of the virtual verification standard in the metrological assurance plan for the charging pile group are corrected. The method for the process parameters of the virtual verification standard to control the error characteristics of the charging pile group is: (1) When a new measurement is added, it is recorded as the l th measurement of the k th group.l> P, where P is the total number of measurement groups, 1 ≤ k ≤ M, calculate the virtual verification standard value for this time : ; Until M measurements are accumulated, perform gross error inspection and form a set of measurement data; (2) Calculate the within-group mean and the range : ; ; In the formula, max and min represent finding the maximum and minimum values respectively; When and only when the following two formulas are satisfied, it is considered that the errors of all piles in the charging pile group do not exceed the control limit, that is, the normal use requirements are met; otherwise, it is considered that the error of at least one pile in the charging pile group exceeds the tolerance, and the correction process is triggered: ; ; In the formula, A 2 (M) and D 4 (M) are given by querying the control limit factor table.

[0011] The correction process includes: Manually verify T piles in the charging pile group or install standard power modules. Perform M measurements on these T piles to obtain the error verification values d yz , y = 1, 2,..., T, 1 ≤ T < N; z = 1, 2,..., M, Calculate its mean A c ' and the standard deviation S c ': ; ; If the t-statistic , and S c ' ≤ S c , then the process parameters of the virtual verification standard are controlled and do not need to be corrected; otherwise, correct A c to be A c '; where, S c is the standard deviation acceptance value ， The calculation method is: .

[0012] In the second aspect, the present invention provides a charging pile group verification device, including: Virtual verification standard calculation module, which calculates the virtual verification standard value in the metrological assurance plan for the charging pile group. The calculation method of the virtual verification standard value in the metrological assurance plan for the charging pile group is as follows: ; In the formula, the subscript k represents the k-th calculation, where k ≥ 2; A i is the matrix β of the i -th element, representing the solution error coefficient of the i-th charging pile; the matrix β refers to the solution error coefficient matrix of each charging pile in the charging pile group, and the calculation formula of the matrix β is: ; In the formula, the superscript T represents matrix transpose; the matrices E and E t are respectively: , ; Among them, the element E t in the matrix E tx is the reading of the total power meter of the charging station at the x -th moment; ε 0 is the fixed loss in the charging station; 1 N×1 is an all-1 matrix with N rows and 1 column; the element E in the matrix E xi is the reading of the i -th pile in the charging station at the x -th moment; η i is the AC-DC conversion efficiency of the i -th pile. If it is an AC pile, then η i = 1; one measurement includes N moments, x = 1, 2, … N; and a total of n pile data are measured at each moment i = 1, 2, … n ; among them, the number of moments N > the number of charging piles n; Process parameter calculation module, which calculates the process parameters of the virtual verification standard in the metrological assurance plan for the charging pile group based on the virtual verification standard value. The charging pile group is divided into J charging pile groups. For the j-th group of charging piles, 1 ≤ j ≤ J; the process parameters of the virtual verification standard in the metrological assurance plan for the charging pile group include the within-group mean , range , between-group mean A c , and average range R c ; The mean value within the j-th group is calculated as follows: ; where M is the number of measurements within the group; is the recognized value of the verification standard obtained from the k-th measurement in the j-th group, and the calculation method is: ; The range within the j-th group is calculated as follows: ; where max and min represent finding the maximum and minimum values respectively; The mean value between groups A c is calculated as follows: ; where J is the number of measurement groups; The average range R c is calculated as follows: ; The error characteristic control and correction module controls the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; during the control process, if it is found that the errors of all the charging piles in the charging pile group exceed the control limit, the process parameters of the virtual verification standard in the metrological assurance plan of the charging pile group are corrected. The method for the process parameters of the virtual verification standard to control the error characteristics of the charging pile group is as follows: (1) When a new measurement is added, it is recorded as the l -th measurement in the k -th group, l> P, where P is the total number of measurement groups, 1 ≤ k ≤ M, and calculate the virtual verification standard value at this time: ; Until M measurements are accumulated, gross error inspection is carried out and a set of measurement data is formed; (2) Calculate the mean value within the group and the range : ; ; where max and min represent finding the maximum and minimum values respectively; It is considered that the errors of all the charging piles in the charging pile group do not exceed the control limit if and only if the following two formulas are satisfied, that is, the normal use requirements are met; otherwise, it is considered that the error of at least one charging pile in the charging pile group exceeds the tolerance, and the correction process is triggered: ; ; where A 2 (M) and D 4 (M) are given by querying the control limit factor table.

[0013] The correction process includes: Manually verify T charging piles in the charging pile group or install standard power modules, and perform M measurements on these T charging piles to obtain the error verification values d of the T charging piles yz , where y = 1, 2, …, T, 1 ≤ T < N; z = 1, 2, …, M Calculate its mean value A c ’ and standard deviation S c ’: ; ; If the t-statistic , and S c ’ ≤ S c , then the process parameters of the virtual verification standard are controlled and do not need to be corrected; otherwise, correct A c is A c ’; where S c is the standard deviation acceptance value ， The calculation method is: .

[0014] In a third aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the method described in the first aspect is implemented.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the method described in the first aspect is implemented.

[0016] One or more technical solutions provided by the present invention have at least the following technical effects or advantages: introducing the idea of the metrological assurance program into the metrological verification of the charging pile group, using the total station energy measurement data and the energy measurement data of each charging pile in the station pile group, establishing a virtual verification standard value by energy conservation, calculating process parameters, forming a virtual verification standard model to monitor the error characteristics of the charging pile group, continuously monitoring the errors of each charging pile in the pile group through a closed-loop control method, and updating the control process of the metrological assurance program system for the charging pile group by sampling and manually verifying or installing standard modules to ensure the effectiveness of the virtual verification standard and improve the efficiency of charging pile verification.

[0017] The above description is only an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention, it can be implemented according to the content of the specification. And in order to make the above and other objects, features and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention are hereinafter specifically exemplified. Description of the Drawings

[0018] The present invention will be further described below with reference to the drawings in conjunction with embodiments.

[0019] Figure 1 It is a schematic flowchart of the method of the present invention; Figure 2 It is a schematic diagram of the device modules of the present invention; Figure 3 It is a schematic diagram of the equipment of the present invention; Figure 4 It is a schematic diagram of the medium of the present invention. Detailed Embodiments

[0020] In the embodiments of the present application, by providing a method, device, equipment and medium for controlling the error characteristics of a charging pile group based on mean-range inspection, the general idea is as follows: It is implemented based on the measurement assurance program system. Using the total station power measurement data of the charging station and the power measurement data of each charging pile in the station pile group, a virtual verification standard value is established based on the law of conservation of energy, and then the virtual verification standard process parameters are calculated, including the within-group mean , range , between-group mean A c , average range R c , to form a virtual verification standard model to control the error characteristics of the charging pile group, and a sampling plan is used for manual verification or an internal standard module is used to update the control process of the charging pile group of the measurement assurance program system.

[0021] Embodiment 1 This embodiment provides a method for controlling the error characteristics of a charging pile group based on mean-range inspection. As Figure 1 shown, it includes the following steps: S101. Based on the law of conservation of energy, calculate the virtual verification standard value in the measurement assurance program of the charging pile group. The calculation method is: ; In the formula, the subscript k represents the kth calculation, where k ≥ 2; A i is the β th element of the matrix i , representing the solution error coefficient of the ith charging pile; the matrix β refers to the matrix of the solution error coefficients of each charging pile in the charging pile group, and the calculation formula of the matrix β is: ; In the formula, the superscriptT denotes matrix transpose; the matrix E and E t are respectively: , ; wherein, the element E t in the matrix E tx is the reading of the total power meter of the charging station at the x th moment; ε 0 is the fixed loss in the charging station; 1 N×1 is a matrix of all 1s with N rows and 1 column; the element E in the matrix E xi is the reading of the i th pile at the x th moment in the charging station; η i is the AC-DC conversion efficiency of the i th pile. If it is an AC pile, then η i = 1; one measurement includes N moments, x = 1, 2, … N; and a total of n pile data are measured at each moment i = 1, 2, … n ; wherein, the number of moments N > the number of charging piles n; Dynamically capture the overall error characteristics of the charging pile group through matrix operations, avoid relying on single-moment data, and significantly improve the robustness of the error model.

[0022] S102. Calculate the process parameters of the virtual verification standard in the metrological assurance scheme of the charging pile group based on the virtual verification standard value.

[0023] The charging pile group is divided into J charging pile groups. For the jth charging pile group, 1 ≤ j ≤ J; the process parameters of the virtual verification standard in the metrological assurance scheme of the charging pile group include the within-group mean , range , between-group mean A c , average range R c ; wherein the calculation method of the within-group mean of the jth group is: ; In the formula, M is the number of within-group measurements; is the recognized value of the verification standard obtained from the kth measurement of the jth group, and the calculation method is: ; The calculation method of the within-group range of the jth group is: ; In the formula, max and min represent finding the maximum and minimum values respectively; Mean value between groups A c The calculation method is as follows: ; In the formula, J is the number of measurement groups; Average range R c The calculation method is as follows: ; S103. Control the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; during the control process, if it is found that the errors of all the charging piles in the charging pile group exceed the control limit, correct the process parameters of the virtual verification standard in the metrological assurance plan of the charging pile group.

[0024] The method for the process parameters of the virtual verification standard to control the error characteristics of the charging pile group is as follows: (1) When a new measurement is added, it is recorded as the l th measurement of the k th group, l> P, where P is the total number of measurements, 1 ≤ k ≤ M, calculate the virtual verification standard value at this time: ; Until M measurements are accumulated, perform gross error inspection and form a set of measurement data; (2) Calculate the mean value within the group and the range : ; ; In the formula, max and min represent finding the maximum and minimum values respectively; When and only when the following two formulas are satisfied, it is considered that the errors of all the charging piles in the charging pile group do not exceed the control limit, that is, the normal use requirements are met; otherwise, it is considered that the error of at least one charging pile in the charging pile group exceeds the tolerance, and the correction process is triggered: ; ; In the formula, A 2 (M) and D 4 (M) are given by querying the control limit factor table.

[0025] A 2 (M) and D 4 (M) are key factors used to calculate the control limits in statistical process control (SPC), and their meanings and functions are as follows: A 2 (M) is used to judge whether the relative error of a single charging pile is within the allowable range. In SPC, A2 The factor is related to the subgroup size M (i.e., the sample size) and is used to calculate the control limits of the mean chart (X-bar chart). It means that the error of a single charging pile needs to be less than A 2 (M) The defined threshold value.

[0026] D 4 (M) is used to determine whether the range of the charging pile exceeds the upper control limit. In SPC, D 4 The factor is used to calculate the upper control limit (UCL) of the range chart (R chart). It means that the ratio of the range of a single charging pile to the reference range needs to be less than the defined threshold D 4 (M).

[0027] The control limit factor calculation table is a standard reference table that provides corresponding control limit factor values according to the subgroup size M (i.e., the sample size). An example of the table content is as follows:

[0028] Query method: According to the subgroup size M in the charging pile group (for example, the number of charging piles detected each time), find the corresponding A 2 and D 4 values from the table. For example, if the subgroup size M = 5, then A 2 = 0.577, D 4 = 2.114.

[0029] The described correction process includes: Manually verify or install standard power modules for T charging piles in the charging pile group, and perform M measurements on these T charging piles to obtain the error verification values d yz of these T charging piles, where y = 1, 2,..., T, 1 ≤ T < N; z = 1, 2,..., M, Calculate their mean A c ' and standard deviation S c ': ; ; If the t-statistic , and S c ' ≤ S c , then the process parameters of the virtual verification standard are under control and do not need to be corrected; otherwise, correct A c to be A c '; where, S c is the standard deviation acceptance value ， The calculation method is: 。

[0030] Thus, by real-time correcting the model parameters through closed-loop feedback, the error control error rate can be reduced to within 0.5%.

[0031] Among them, the table is the Q-value table used in the Q-test. The Q-value table is mainly used to determine whether the suspicious value in the data should be excluded. The specific steps of the Q-test are as follows: S101. Data sorting: Arrange each data in ascending order, denoted as X 1 , X 2 , X3, …, X n−1 , X n ; S102. Calculate the range: Calculate the difference between the maximum value and the minimum value, that is, the range ; S103. Calculate the difference: Calculate the absolute value of the difference between the suspicious value and its closest adjacent data; S104. Calculate the Q value: Divide the difference by the range to obtain the Q value; S105. Look up the Q-value table: Look up the Q-value table according to the number of measurements n and the required confidence level to determine the acceptance or rejection of the suspicious value.

[0032] Embodiment 2 Based on the same inventive concept, the present application also provides an apparatus corresponding to the method in Embodiment 1. For details, see Embodiment 2.

[0033] As Figure 2 shown, in this embodiment, a control device for the error characteristics of a charging pile group based on mean-range test is provided, including: A virtual verification standard calculation module that calculates the virtual verification standard value in the metrological assurance plan of the charging pile group. The calculation method of the virtual verification standard value in the metrological assurance plan of the charging pile group is: ; In the formula, the subscript k represents the kth calculation, where k ≥ 2; A i is the β th i element of the matrix β , representing the solution error coefficient of the ith charging pile; the matrix β refers to the solution error coefficient matrix of each charging pile in the charging pile group. The calculation formula of the matrix is: In the formula, the superscript T represents matrix transpose; the matrices E and E t are respectively: , ; Among them, the matrix E t the element in E tx is the reading of the total power meter of the charging station at the x th moment; ε 0 is the fixed loss in the charging station; 1 N×1 is a matrix of all 1s with N rows and 1 column; the matrix E the element in E xi is the reading of the i th pile in the charging station at the x th moment; η i is the AC-DC conversion efficiency of the i th pile. If it is an AC pile, then η i = 1; One measurement includes N moments, x = 1, 2, … N; and a total of n pile data are measured at each moment i = 1, 2, … n ; Among them, the number of moments N > the number of charging piles n; The process parameter calculation module calculates the process parameters of the virtual verification standard in the metrological assurance scheme for the charging pile group based on the virtual verification standard value. The charging pile group is divided into J charging pile groups. For the jth group of charging piles, 1 ≤ j ≤ J; The process parameters of the virtual verification standard in the metrological assurance scheme for the charging pile group include the within-group mean of the jth group, the range of the jth group, the between-group mean A c of the jth group, and the average range R c of the jth group; Among them, the calculation method of the within-group mean of the jth group is: ; In the formula, M is the number of within-group measurements; is the recognized value of the verification standard obtained from the kth measurement of the jth group, and the calculation method is: ; The calculation method of the within-group range of the jth group is: ; In the formula, max and min represent finding the maximum and minimum values respectively; The calculation method of the between-group mean A c of the jth group is: ; In the formula, J is the number of measurement groups; The calculation method of the average range R c of the jth group is: ; The error characteristic control and correction module controls the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; during the control process, if it is found that the errors of all the charging piles in the charging pile group exceed the control limit, the process parameters of the virtual verification standard in the metrological assurance plan of the charging pile group are corrected.

[0034] The method for the process parameters of the virtual verification standard to control the error characteristics of the charging pile group is as follows: (1) When a new measurement is added, it is recorded as the l th measurement of the k th group, l> P, where P is the total number of measurement groups, 1 ≤ k ≤ M, and calculate the virtual verification standard value at this time: ; Until M measurements are accumulated, gross error inspection is performed and a set of measurement data is formed; (2) Calculate the within-group mean and the range : ; ; In the formula, max and min represent finding the maximum and minimum values respectively; When and only when the following two formulas are satisfied, it is considered that the errors of all the charging piles in the charging pile group do not exceed the control limit, that is, the normal use requirements are met; otherwise, it is considered that the error of at least one charging pile in the charging pile group exceeds the tolerance, and the correction process is triggered: ; ; In the formula, A 2 (M) and D 4 (M) are given by querying the control limit factor table.

[0035] A 2 (M) and D 4 (M) are key factors used to calculate the control limits in statistical process control (SPC), and their meanings and functions are as follows: A 2 (M) is used to judge whether the relative error of a single charging pile is within the allowable range. In SPC, the A 2 factor is related to the subgroup size M (i.e., the sample size) and is used to calculate the control limits of the mean chart (X-bar chart), indicating that the error of a single charging pile needs to be less than the threshold value limited by A 2 (M).

[0036] D 4 (M) is used to judge whether the range of the charging pile exceeds the upper control limit. In SPC, D 4The factor is used to calculate the upper control limit (UCL) of the range chart (R chart). It means that the ratio of the range of a single charging pile to the reference range should be less than the defined threshold D 4 (M).

[0037] The control limit factor table is a standard reference table that provides corresponding control limit factor values according to the subgroup size M (i.e., the sample size). An example of the table content is as follows:

[0038] Query method: According to the subgroup size M in the charging pile group (for example, the number of charging piles detected each time), find the corresponding A 2 and D 4 values from the table. For example, if the subgroup size M = 5, then A 2 = 0.577 and D 4 = 2.114.

[0039] The described correction process includes: Manually verify T charging piles in the charging pile group or install standard power modules. Conduct M measurements on these T charging piles to obtain the error verification values d yz for y = 1, 2, …, T, 1 ≤ T < N; z = 1, 2, …, M Calculate its mean A c ’ and standard deviation S c ’ as follows: ; ; If the t-statistic , and S c ’ ≤ S c , then the process parameters of the virtual verification standard are under control and do not need to be corrected; otherwise, correct A c to A c ’; where S c is the standard deviation acceptance value ， The calculation method is: .

[0040] Thus, by real-time correcting the model parameters through closed-loop feedback, the error control error rate can be reduced to less than 0.5%.

[0041] Since the device introduced in the second embodiment of the present invention is the device adopted for implementing the method of the first embodiment of the present invention, based on the method introduced in the first embodiment of the present invention, those skilled in the art can understand the specific structure and variations of the device, so it will not be elaborated herein. Any device adopted for the method of the first embodiment of the present invention falls within the scope of protection of the present invention.

[0042] Embodiment Three Based on the same inventive concept, this application provides an electronic device embodiment corresponding to Embodiment One, as detailed in Embodiment Three. As Figure 3 shown, this embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, any implementation manner of Embodiment One can be realized.

[0043] Since the electronic device introduced in this embodiment is the device adopted for implementing the method in Embodiment One of this application, based on the method introduced in Embodiment One of this application, those skilled in the art can understand the specific implementation manners and various variations of the electronic device in this embodiment. Therefore, how the electronic device realizes the method in the embodiments of this application will not be described in detail herein. Any device adopted by those skilled in the art for implementing the method in the embodiments of this application falls within the scope of protection of this application.

[0044] Embodiment Four Based on the same inventive concept, this application provides a storage medium corresponding to Embodiment One, as detailed in Embodiment Four. As Figure 4 shown, this embodiment provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, any implementation manner in Embodiment One can be realized.

[0045] The technical solution provided in the embodiments of this application has at least the following technical effects or advantages: introducing the idea of a measurement assurance program into the metrological verification of a charging pile group, using the total station energy measurement data of the charging station and the energy measurement data of each pile in the station, establishing a virtual verification standard value based on energy conservation, calculating process parameters, forming a virtual verification standard model to monitor the error characteristics of the charging pile group, continuously monitoring the errors of each pile in the pile group through a closed-loop control method, and updating the control process of the measurement assurance program system for the charging pile group by means of a sampling plan for manual verification or installing a standard module, ensuring the effectiveness of the virtual verification standard and improving the efficiency of charging pile verification.

[0046] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0047] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices produce means for realizing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or the combination of blocks.

[0048] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufactured article including instruction means that realizes the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or the combination of blocks.

[0049] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or the combination of blocks.

[0050] Although the specific embodiments of the present invention have been described above, those skilled in the art of this technology should understand that the specific embodiments we described are illustrative rather than used to limit the scope of the present invention. Equivalent modifications and variations made by those skilled in the art in accordance with the spirit of the present invention should be covered by the scope protected by the claims of the present invention.

Claims

1. A charging pile group error characteristic control method based on mean-range test, characterized by: The following steps are involved: S101. Calculate the virtual verification standard value in the charging pile group metering assurance plan, and the calculation method is: ; Where, the subscript k represents the kth calculation, where k ≥ 2; A i is a matrix β No. i elements, representing the solution error coefficient of the i-th charging pile; matrix β Refers to the error coefficient matrix of each charging pile in the charging pile group. β The calculation formula is: ; In the formula, the superscript T Represents matrix transpose; matrix E and E t They are: ， ； Among them, the matrix E t Medium Element E tx The total energy meter of the charging station is x Readings at a moment; ε 0 is the fixed loss in the charging station; 1 N×1 is a matrix with N rows and 1 column and all 1s; the matrix E Medium Element E xi For the charging station i Pile No. x Readings at a moment; η i For the i The AC-DC conversion efficiency of a pile is: η i =1; one measurement contains N moments, x=1, 2, ...N; Each moment measures n Data of piles i=1,2,…n ; Among them, the number of moments N> the number of charging piles n; S102, based on the virtual verification standard value, calculating the process parameters of the virtual verification standard in the charging pile group metering assurance scheme, the charging pile group is divided into J charging pile groups, for the j-th group of charging piles, 1≤j≤J; the process parameters of the virtual verification standard in the charging pile group metering assurance scheme include the group mean of the j-th group , Very bad , mean between groups A c , range average R c ; The mean of the jth group is The calculation method is: ; Where M is the number of measurements within the group; is the verification standard acceptance value obtained by the k-th measurement of the j-th group, and the calculation method is: ; The range within group j The calculation method is: ; In the formula, max and min represent the maximum and minimum values ​​respectively; Mean between groups A c The calculation method is: ; Where, J is the number of measurement groups; Range average R c The calculation method is: ; S103, controlling the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; during the control process, if it is found that the errors of all piles in the charging pile group exceed the control limit, the process parameters of the virtual verification standard in the charging pile group measurement assurance scheme are corrected; The method for controlling the error characteristics of the charging pile group according to the process parameters of the virtual verification standard is: (1) When a new measurement is added, it is recorded as l Group k Measurements, l> P, P is the total number of measurement groups, 1≤ k ≤M, calculate the standard value of this virtual verification : ; When M measurements are accumulated, the gross error test is performed and a set of measurement data is formed; (2) Calculate the mean within the group and range : ; ; In the formula, max and min represent the maximum and minimum values ​​respectively; If and only if the following two equations are satisfied, it is considered that the errors of all piles in the charging pile group do not exceed the control limit, that is, they meet the normal use requirements; otherwise, it is considered that the error of at least one pile in the charging pile group exceeds the tolerance, triggering the correction process: ; ; Where A2(M) and D4(M) are given by querying the calculation control limit factor table.

2. The method according to claim 1, characterized in that: The correction process includes: Manually calibrate T charging piles in the charging pile group or install standard power modules, and measure these T piles M times to obtain the error calibration value of T piles as d yz ,y=1,2,…,T, 1≤T <N;z=1,2,…,M, Calculate its mean A c ' and standard deviation S c ': ; ; If the t statistic ,and S c '≤ S c , then the process parameters of the virtual verification standard are under control and do not need to be corrected; otherwise, A c for A c ';in, S c Standard deviation recognized value ， The calculation method is: .

3. A charging pile group error characteristic control device based on mean-range test, characterized in that: include: The virtual verification standard calculation module calculates the virtual verification standard value in the charging pile group measurement assurance scheme. The calculation method of the virtual verification standard value in the charging pile group measurement assurance scheme is: ; Where, the subscript k represents the kth calculation, where k ≥ 2; A i is a matrix β No. i elements, representing the solution error coefficient of the i-th charging pile; matrix β Refers to the error coefficient matrix of each charging pile in the charging pile group. β The calculation formula is: ; In the formula, the superscript T Represents matrix transpose; matrix E and E t They are: , ; Among them, the matrix E t Medium Element E tx The total energy meter of the charging station is x Readings at a moment; ε 0 is the fixed loss in the charging station; 1 N×1 is a matrix with N rows and 1 column and all 1s; the matrix E Medium Element E xi For the charging station i Pile No. x Readings at a moment; η i For the i The AC-DC conversion efficiency of a pile is: η i =1; one measurement contains N moments, x=1, 2, ...N; Each moment measures n Data of piles i=1,2,…n ; Among them, the number of moments N> the number of charging piles n; The process parameter calculation module calculates the process parameters of the virtual verification standard in the charging pile group metering assurance scheme based on the virtual verification standard value, wherein the charging pile group is divided into J charging pile groups, and for the j-th group of charging piles, 1≤j≤J; the process parameters of the virtual verification standard in the charging pile group metering assurance scheme include the group mean of the j-th group , Very bad , mean between groups A c , range average R c ; The mean of the jth group is The calculation method is: ; Where M is the number of measurements within the group; is the verification standard acceptance value obtained by the k-th measurement of the j-th group, and the calculation method is: ; The range within group j The calculation method is: ; In the formula, max and min represent the maximum and minimum values ​​respectively; Mean between groups A c The calculation method is: ; Where, J is the number of measurement groups; Range average R c The calculation method is: ; The error characteristic control and correction module controls the error characteristics of the charging pile group according to the process parameters of the virtual verification standard; during the control process, if it is found that the errors of all piles in the charging pile group exceed the control limit, the process parameters of the virtual verification standard in the charging pile group measurement assurance scheme are corrected. The method for controlling the error characteristics of the charging pile group according to the process parameters of the virtual verification standard is as follows: (1) When a new measurement is added, it is recorded as l Group k Measurements, l> P, P is the total number of measurement groups, 1≤ k ≤M, calculate the standard value of this virtual verification : ; When M measurements are accumulated, the gross error test is performed and a set of measurement data is formed; (2) Calculate the mean within the group and range : ; ; In the formula, max and min represent the maximum and minimum values ​​respectively; If and only if the following two equations are satisfied, it is considered that the errors of all piles in the charging pile group do not exceed the control limit, that is, they meet the normal use requirements; otherwise, it is considered that the error of at least one pile in the charging pile group exceeds the tolerance, triggering the correction process: ; ; Where A2(M) and D4(M) are given by querying the calculation control limit factor table.

4. The device according to claim 3, characterized in that: The correction process includes: Manually calibrate T charging piles in the charging pile group or install standard power modules, and measure these T piles M times to obtain the error calibration value of T piles as d yz ,y=1,2,…,T, 1≤T <N;z=1,2,…,M, Calculate its mean A c ' and standard deviation S c ': ; ; If the t statistic ,and S c '≤ S c , then the process parameters of the virtual verification standard are under control and do not need to be corrected; otherwise, A c for A c ';in, S c Standard deviation recognized value ， The calculation method is: .

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to claim 1 or 2 is implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to claim 1 or 2 is implemented.

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