Meter box state detection method based on box damage correction

By using linear regression fitting and combining the filing information of meter boxes and meters, the relationship between meter boxes and meters, and between meter boxes and meters to be determined, is calculated. This solves the problem of box damage calculation error caused by nested meter boxes and missing meters, and achieves high-precision box damage detection.

CN121703725APending Publication Date: 2026-03-20JIANGSU RUIDIAN ZHIXIN INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202511771052.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-28
Publication Date
2026-03-20

AI Technical Summary

Technical Problem

Existing meter box status detection methods cannot accurately calculate box losses when meter boxes are nested or when meters are not included in the calculation, resulting in overestimation of the calculated results. Furthermore, traditional methods are prone to errors when the electricity consumption of multiple sub-meter boxes is similar.

Method used

A linear regression fitting method was adopted, combined with the filing information of meter boxes and meters. By calculating the relationship between meter boxes and meter boxes, and between meter boxes and undetermined meters, the box loss was recalculated. The box loss of meter boxes was compared with the box loss of meter boxes without box loss, and the filing information was corrected.

Benefits of technology

It improves the accuracy of meter box loss calculation, realizes the accurate identification of the relationship between meter boxes and between meter boxes and undetermined meters, and achieves the accuracy of detection results of 100% and 98% respectively. It reduces manpower for on-site surveys and has the advantages of being economical and easy to promote.

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Abstract

The invention discloses a meter box state detection method based on box damage correction. The method comprises the following steps: acquiring electric quantity data and current filing information of all meter boxes and all electric meters in a transformer area; determining a first to-be-determined meter box and first other meter boxes by calculating the power loss of the meter boxes, fitting and correcting the power of the first to-be-determined meter box and the power of the first other meter boxes, and updating the affiliation relationship between the meter boxes in the filing information; calculating the updated electric quantity loss of the meter box, determining an electric meter to be determined and a second electric meter to be determined, fitting and correcting the electric quantity of the second electric meter to be determined and the electric quantity of other electric meters to be determined, and updating the affiliation relationship between the electric meter to be determined and the electric meter box in the filing information until the final filing information is obtained; and calculating the box damage of each meter box according to the filing information, thereby realizing state detection of each meter box. According to the method, the affiliation relation between the meter boxes and between the meter boxes and the to-be-determined meters is additionally calculated in a linear regression fitting mode, so that the calculated box damage precision is more accurate.
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Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a meter box status detection method based on box loss correction. Background Technology

[0002] Existing meter box status monitoring mainly includes the detection of box damage. Meter box damage typically refers to the damage to the electricity meter box (i.e., the box used to install metering equipment such as electricity meters) in the power system due to various reasons. There are several reasons for box damage. One is physical damage, caused by external forces or environmental factors that damage the structure of the meter box. Another is functional failure, caused by the functional damage or malfunction of internal components of the meter box, which affects the accuracy of electricity metering or the safety of power supply. These factors are uncontrollable factors caused by the long-term use of the meter box. However, in the field, there are also situations where meter boxes are nested, and some electricity meters under a meter box are not included in the data. As a result, when calculating box damage, only the difference between the electricity consumption of the meter box in the data file and the electricity consumption of the electricity meters under it is used, which may lead to an inflated result.

[0003] In response to the aforementioned situation of increased meter box damage, the traditional detection method is to compare the power consumption of a certain amount of meter box damage with that of a meter box without damage. When the power consumption is small, the main meter and the sub-meters can be identified. However, the drawback of this method is that when the power consumption of multiple sub-meter boxes is close, it is impossible to determine which sub-meter box is related to the main meter box, thus increasing the probability of errors. Summary of the Invention

[0004] Technical Objective: To address the problems in existing technologies, this invention discloses a meter box status detection method based on box loss correction. Based on the original filing information, it uses linear regression to additionally calculate the relationships between meter boxes and between meter boxes and undetermined meters, recalculating box loss to achieve greater accuracy.

[0005] Technical solution: To achieve the above technical objectives, the present invention adopts the following technical solution.

[0006] A method for detecting the status of a meter box based on box loss correction, the method comprising: S1. For the transformer substation where the status of the meter box to be detected is to obtain the electricity data of all meter boxes and all meters in the substation within a preset historical time range; and obtain the current filing information of the correspondence between meter boxes and meters in the substation, which includes the relationship between meter boxes and the relationship between meter boxes and meters; select the meters to be determined and preprocess the electricity data of each meter box and meter to obtain the electricity sequence. S2. Based on the pending meters and the filing information, the first pending meter box and the first other meter boxes are determined by calculating the meter box loss. The electricity of the first pending meter box and the other first other meter boxes are fitted and corrected, and the relationship between the meter boxes in the filing information is updated. S3. Based on the updated filing information in S2, calculate the updated meter box loss, determine the pending meters and the second pending meter box, fit and correct the electricity of the second pending meter box with other pending meters, and update the relationship between pending meters and meter boxes in the filing information. S4. For each second preset time granularity within the preset historical time range, repeat S2-S3 until the updated relationships between meter boxes and between meter boxes and pending meters are obtained, and update the final filing information; calculate the box damage of each meter box based on the filing information to achieve status detection of each meter box.

[0007] Beneficial effects: 1. Based on the law of conservation of energy, this invention calculates box loss by combining the filing information of meter boxes and meters. When there are nested meter boxes and meters under the meter box that are not included in the filing, resulting in increased box loss, the box loss of the meter box is compared with the box loss of the meter box with the box loss of the meter box without box loss to determine the total meter and sub-meter of the filing information. Based on the original filing information, this invention uses a linear regression fitting method to additionally calculate the relationship between meter boxes and meter boxes, and between meter boxes and undetermined meters, and recalculates the box loss, making the calculated box loss more accurate. 2. This invention only requires 15 minutes of electricity consumption from the meter box to directly fit and find the relationship between meter boxes and between meter boxes and the meter to be used, and then calculate the box loss. It does not require a lot of manpower to conduct on-site surveys of the equipment location, and has the advantages of being simple, economical and easy to promote and apply. 3. This invention performs multiple corrections on the fitting results after fitting, which can eliminate the possibility of fitting errors caused by small fluctuations in the power consumption of some meter boxes or meters. This can effectively improve the accuracy of fitting. Tests have shown that the accuracy of the relationship between meter boxes can reach 100%, and the accuracy of the relationship between meter boxes and meters can reach 98%. 4. By calculating the box loss, it is possible to effectively detect which equipment and lines have high energy loss, which helps to take targeted measures to reduce these losses. Based on the box loss analysis results, the power grid operation strategy can be adjusted to improve the overall power supply efficiency. Attached Figure Description

[0008] Figure 1 This is a flowchart illustrating a meter box status detection method based on box damage correction according to Embodiment 1 of this application; Figure 2This is a flowchart illustrating a meter box status detection method based on box damage correction according to Embodiment 2 of this application; Figure 3 This is a schematic diagram of the fitting results for the first day in Embodiment 2 of this application; Figure 4 This is a schematic diagram of the fitting results on the second day in Embodiment 2 of this application; Figure 5 This is a schematic diagram of the fitting results on the third day in Embodiment 2 of this application; Figure 6 This is a schematic diagram of the fitting results on the fourth day in Embodiment 2 of this application; Figure 7 This is a schematic diagram of the fitting results on the fifth day in Embodiment 2 of this application; Figure 8 This is a schematic diagram of the fitting results on the sixth day in Embodiment 2 of this application; Figure 9 This is a schematic diagram of the fitting results on the seventh day in Embodiment 2 of this application; Figure 10 This is a schematic diagram of the final fitting result in Embodiment 2 of this application. Detailed Implementation

[0009] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0010] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0011] In the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0012] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. Example

[0013] As attached Figure 1 As shown in this embodiment, a meter box status detection method based on box loss correction includes: S1. For the transformer substation where the meter box status needs to be detected, obtain the electricity consumption data of all meter boxes and all meters within the substation within a preset historical time range; and obtain the current filing information of the correspondence between meter boxes and meters within the substation. The current filing information includes the relationship between meter boxes and the relationship between meter boxes and meters. If the current filing information is the initial filing information, only the relationship between meter boxes and meters is present, and the relationship between meter boxes is empty. Subsequent steps will update the relationship between meter boxes and the relationship between meter boxes and meters. Select the meters to be determined and preprocess the electricity consumption data of each meter box and meter to obtain the electricity consumption sequence; including the following steps: S11. For the distribution area where the meter box status is to be detected, within a preset historical time range, obtain the electricity data of all meter boxes and all meters in the distribution area within the preset historical time range according to the first preset time granularity; in this embodiment, the preset historical time range is set to 7 days, and the first preset time granularity is 15 minutes; the specific values ​​are set according to the actual situation. S12. Obtain the filing information of the correspondence between the meter boxes and the meters in this distribution area; S13. Construct a second meter file based on all meters corresponding to the electricity data, compare the file information with the meter information in the second meter file, and select the extra meters in the second meter file as pending meters. S14. Preprocess the electricity data for each meter box and meter to obtain an electricity sequence aligned with a first preset time granularity. Preprocessing includes two parts: First, for missing data, fill in the gaps using interpolation. Daily time periods may have missing data; pad the missing time periods with zeros according to the first preset time granularity to ensure the length of the electricity sequence is always the preset granularity. Second, for redundant data, obtain the electricity sequence by averaging or selecting one data point, ensuring the length of the electricity sequence is always the first preset time granularity.

[0014] S2. Based on the pending meter information and the registration information, the first pending meter box and the first other meter boxes are determined by calculating the meter box loss. The electricity consumption of the first pending meter box and the other first meter boxes is fitted and corrected, and the relationship between meter boxes in the registration information is updated. The first pending meter box is determined to have a loss based on the calculation results of the meter box loss, while the first other meter boxes are those whose existence cannot be determined based on the calculation results of the meter box loss; they may or may not have a loss. This includes the following steps: S21. Based on the current data, calculate the box loss sequence and box loss power of each box within the second preset time granularity. In this embodiment, the first preset time granularity is smaller than the second preset time granularity, and the second preset time granularity is smaller than the preset historical time range; the second preset time granularity is set to 1 day.

[0015] Box loss sequence within the first preset time granularity The calculation formula is:

[0016] in, This is the power sequence of the meter box at the first preset time granularity. The power sequence of all meters under this meter box at the first preset time granularity is obtained by summing the power of all meters under this meter box at each time point. This is the electricity consumption sequence of the meters belonging to the meter box under the first preset time granularity. It is obtained by summing the electricity consumption of the meters belonging to the meter box at each time point. The meters include the relationship between the meter box and the meter in the original file, as well as the relationship between the meter box and the meter that has been updated later. If this is the first calculation, that is, the first day of calculation, it is the relationship between the meter box and the meter in the original file. At this time, taking the first preset time granularity as 15 minutes as an example, each sequence has 96 values ​​and the sequence length is 96. The box loss quantity mboxdayloss within the second preset time granularity is the box loss sequence within the first preset time granularity. The sum, i.e., the box loss sequence The sum of values ​​at the same time point in the sequence has a length of 96. S22. Determine the first undetermined meter box and the first other meter boxes based on the meter loss data. Fit and correct the meter loss data of the first undetermined meter box and the other first other meter boxes. Obtain the relationship between all the first undetermined meter boxes and the other first other meter boxes based on the correction results. This includes the following steps: S221. Set a daily power loss threshold, and select meter boxes that exceed the daily power loss threshold as the first pending meter boxes based on the power loss. In this embodiment, the daily power loss threshold is set to 1°. Based on the power loss mboxdayloss obtained in S21, select meter boxes with mboxdayloss>1° as the first pending meter boxes; other meter boxes are designated as the first other meter boxes. S222. Fit the power consumption of the first undetermined meter box to other first other meter boxes; the fitting process includes: within the same time period within a preset historical time range, fitting the second preset time granularity box loss of the first undetermined meter box to other first other meter boxes with the second preset time granularity power consumption, the fitting formula includes:

[0017] in, This is the box loss sequence within the second preset time granularity. For n first other meter boxes, the second preset time granularity of the power sequence is given. , … The fitted values ​​obtained after fitting the n first other table boxes; S223. Calculate the ratio of the electricity consumption within the second preset time granularity of each first other meter box to the box loss electricity consumption within the second preset time granularity of the first undetermined meter box, to obtain a first ratio sequence. When the ratio in the first ratio sequence is less than 0.2 or greater than 1.1, the fitted value of the first other meter box corresponding to that ratio is set to 0. The calculation formula for the first ratio sequence is: [

[0018] in, For the electricity consumption within the second preset time granularity of n first other meter boxes, [ This is the first ratio sequence. The ratio of the electricity consumption within the second preset time granularity of the nth first other meter box to the electricity consumption within the second preset time granularity of the first undetermined meter box; when the ratio is less than 0.2 or greater than 1.1, the fitting value R of the first other meter box corresponding to this ratio is set to 0.

[0019] S224. Select the first other table box with a fitted value R ranging from 0.7 to 1.4, and determine that the first other table box belongs to this first undetermined table box; if multiple table boxes are selected here, they will all be prepared to be added to the filing information; In this embodiment, the test is also verified. After matching, the box loss is recalculated. If the box loss is less than 0, the calculated fitting value R (all first other boxes) is set to 0.

[0020] S23. Update the table of table boxes and their relationships to other first undetermined table boxes to the table of table boxes and their relationships to the table boxes of the day according to the relationship between all first undetermined table boxes and other first other table boxes; if the conditions of S224 are met when S22 is executed for two consecutive days, update the table box and table box relationship in the filing information. S3. Based on the updated filing information in S2, calculate the updated meter box loss power, determine the pending meters and the second pending meter box, fit and correct the power of the second pending meter box with other pending meters, and update the relationship between pending meters and meter boxes in the filing information; wherein, the second pending meter box is the meter box that still has box loss determined based on the updated meter box loss power calculation results; including the following steps: S31. Based on the updated filing information, calculate the updated box loss sequence and box loss power for each box within the second preset time granularity; The updated formula for calculating the box loss sequence mboxSegloss1 within the first preset time granularity is the same as the formula for the box loss sequence within the first preset time granularity in S21. The calculation process is the same, and the formula is:

[0021] in, This is the updated meter box power sequence at the first preset time granularity. To obtain the power sequence of all meter boxes under this meter box at the updated first preset time granularity, it is obtained by summing the power of all meter boxes under this meter box at each time point. The electricity sequence of the meters belonging to the meter box under the first preset time granularity after the update is obtained by summing the electricity of the meters belonging to the meter box at each time point; the meters include the relationship between the meter box and the meters in the original file, as well as the relationship between the meter box and the meters updated later. The updated box loss rate mboxdayloss1 within the second preset time granularity is the updated box loss sequence within the first preset time granularity. The sum, i.e., the box loss sequence The sum of values ​​at the same time point in the sequence has a length of 96. S32. Determine the second undetermined meter box based on the meter box loss, fit and correct the electricity consumption of the second undetermined meter box with that of other undetermined meters, and obtain the relationship between the second undetermined meter box and other undetermined meters based on the correction result; including the following steps: S321. Set a second threshold. Based on the updated box loss power, select box boxes that exceed the second threshold as second pending box boxes, and select pending meters whose power exceeds the second threshold as other pending meters. In this embodiment, the second threshold is set to 1°. Based on the updated box loss power mboxdayloss1 obtained in S31, select box boxes with mboxdayloss>1 degree as second pending box boxes. Selected pending meters: pending meters with mdayE>1 degree as other pending meters. It should be noted that if the power of a pending meter does not exceed the second threshold, it means that its power consumption is low, and it has little impact on the box loss calculation and subsequent results. If it is fitted, it will lead to fitting errors. Therefore, pending meters with low power consumption can be fitted when the power consumption is high at other times.

[0022] S322. Fit the electricity consumption of the second undetermined meter box to other undetermined meters; the fitting process includes: within the same time period of a preset historical time range, fitting the second preset time granularity box loss of the second undetermined meter box to other undetermined meters' electricity consumption at the second preset time granularity, the fitting formula including:

[0023] in, This is the updated box loss sequence within the second preset time granularity. For i other undetermined electricity meters, the second preset time-granularity electricity sequence is... , … For i other undetermined meters, the fitted values ​​are obtained after fitting. S323. Calculate the ratio of the electricity consumption within the second preset time granularity of each other undetermined meter to the electricity consumption within the second preset time granularity of the second undetermined meter box, to obtain a second ratio sequence; in the second ratio sequence, when the ratio is less than 0.2 or greater than 1.1, the fitted value of the undetermined meter corresponding to that ratio is set to 0; the calculation formula for the second ratio sequence is: [ .

[0024] in, For the electricity consumption within a second preset time granularity for each other pending electricity meter, [ This is the second ratio sequence. The ratio of the electricity consumption within the second preset time granularity of the i-th undetermined meter to the electricity consumption within the second preset time granularity of the second undetermined meter box; when the ratio is less than 0.2 or greater than 1.1, the fitted value T of the undetermined meter corresponding to this ratio is set to 0.

[0025] S324. Select other undetermined meters in the fitted value T range of 0.7 to 1.4, determine that the undetermined meter belongs to this second undetermined meter box, and recalculate the box loss after matching. If the box loss is less than 0, the calculated fitted value T (all normal meter boxes) is set to 0.

[0026] S33. Update the relationship between the undetermined meters and the meter box to the current day based on the relationship between all other undetermined meters and the second undetermined meter box; if the condition of fitting S324 is met when S32 is executed for two consecutive days, update the relationship between the undetermined meters and the meter box in the filing information. S4. For each second preset time granularity within the preset historical time range, repeat S2-S3 until the updated relationships between meter boxes and between meter boxes and pending meters are obtained, and update the final filing information; calculate the box damage of each meter box based on the filing information to achieve status detection of each meter box.

[0027] This invention calculates box loss based on the law of conservation of energy and the filing information of meter boxes and meters. When there are nested meter boxes, or when there are meters under a meter box that are not included in the filing, resulting in increased box loss, the box loss of the meter box is compared with the box loss of meter boxes without box loss to determine the total and sub-meters in the filing information. Based on the original filing information, this invention uses a linear regression fitting method to additionally calculate the relationship between meter boxes and between meter boxes and undetermined meters, and recalculates the box loss, making the calculated box loss more accurate. Example

[0028] As attached Figure 2 As shown in the figure, a meter box status detection method based on box damage correction in this embodiment includes the following steps: Step 1: Obtain the 15-minute electricity consumption data for each meter box and each meter in a distribution area over 7 days, as well as the meter registration information for each meter box. Select the meters to be determined and preprocess the electricity consumption curves of the meters in each meter box.

[0029] Step 1.1, Pending Table: Extract all meters from the total electricity data and compare them with all meters in the filing information. The meters that are missing from the electricity data are the pending table. Step 1.2, Preprocessing method: interpolation filling. There may be missing data in the daily electricity consumption data. When the electricity consumption data is missing, 0 is added according to the timestamp. Repeated time periods are processed. Redundant data is taken as unique data to ensure that the number of data of each meter box is consistent every day. Step 2: Calculate the daily box loss sequence and daily box loss electricity for each meter box; Step 2.1, box loss sequence mboxSegloss:

[0030] Step 2.2, Box Loss mboxdayloss: Box loss sequence sum; Step 3: Select the meter box that meets the daily power loss requirement and match the power consumption of other meter boxes, then correct the matching results; Step 3.1 Selecting watch boxes: Watch boxes with mboxdayloss > 1 degree; Step 3.2 Fitting Method: Fit the 15-minute battery loss of the selected watch case with the 15-minute battery charge of other watch cases using the following formula:

[0031] in For other watch cases, a 15-minute power sequence is provided. , … These are the fitted values ​​obtained after fitting; Step 3.3 Correcting the Fitting Result 1: Calculate the ratio X of the daily electricity consumption of each fitted meter box to the electricity consumption of the meter box meeting the loss requirement. [

[0032] in For each fitted meter box, if X < 0.2 or X > 1.1, the R-fit value of the meter box corresponding to X is set to 0. 3.4 Correcting the fitting result 2: Selecting the boxes with an R value between 0.7 and 1.4 as belonging to this box, and recalculating the box loss after matching. If the box loss is less than 0, the calculated R (all boxes) is set to 0. Step 4: Update the relationship between meter boxes: If the fit range is met for two consecutive days, update the relationship between meter boxes; otherwise, update to the meter box relationship of each meter box from the previous day. Figures 3-9 The fitting relationship between the watch cases and the watch cases each day; Step 5: Recalculate the daily box loss sequence and daily box loss power for each meter box; Step 5.1 Box loss sequence mboxSegloss1:

[0033] Step 5.2 Box loss power mboxdayloss1: Box loss sequence sum; Step 6: Fit the selected table box with the selected table to be determined, and correct the fitting results; Step 6.1 Selected watch boxes: watch boxes with mboxdayloss1>1 degree; Selected undetermined watches: undetermined watches with mdayE>1 degree. Step 6.2 Fitting Method: Fit the 15-minute battery loss of the selected watch case with the 15-minute battery charge of other selected watch cases, using the following formula:

[0034] in For other watch cases, a 15-minute power sequence is provided. , … These are the fitted values ​​obtained after fitting; Step 6.3 Correcting the fitting result 1: Calculate the ratio S of the daily electricity consumption of each fitted undetermined meter to the electricity consumption of the meter that meets the requirements for meter loss. [

[0035] in For each day's electricity consumption in the undetermined table, if S < 0.2 or S > 1.1, then the T-fit value of the undetermined table corresponding to S is set to 0. Step 6.4 Correct fitting result 2: Select the undetermined tables in T that are in the range of 0.7~1.4 and consider them to belong to this table box. After matching, recalculate the box loss. If the box loss is less than 0, the calculated T (all undetermined tables) is set to 0. Step 7: Update the relationship between meter boxes and undetermined meters: If the fitting range is met for two consecutive days, update the relationship between meter boxes and meters; otherwise, update to the previous day's meter relationship for each meter box. For example... Figures 3-9 The fitting relationship between the daily table boxes and the tables to be determined; Step 8: Continuously follow the same steps for 7 days to obtain the complete relationships between meter boxes and their associated meters, and between meter boxes and the meters to be determined. Calculate the final loss for each meter box. (See attached document) Figure 10 As shown, Figure 10There are a total of 22 meter boxes. The relationships between 6 damaged meter boxes and other meter boxes were retrieved: meter boxes 34486836, 34486837, and 34486524 are assigned to meter box 34486031; meter boxes 34486059, 34486775, and 34486831 are assigned to meter box 34486698; meter boxes 34486064, 34486702, and 34486716 are assigned to meter box 34486706; 344... Meter boxes 8701, 34486715, and 34486717 are assigned to meter box 34486720; meter boxes 34486816 and 34486826 are assigned to meter box 34486827; meter boxes 34486037 and 34486772 are assigned to meter box 34486839; the relationship between a damaged meter box and other pending meters was detected, and meters 4558917 and 4459382 are assigned to meter box 34486524.

[0036] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0037] It will be apparent to those skilled in the art that this application is not limited to the details of the exemplary embodiments described above, and that this application can be implemented in other specific forms without departing from the spirit or essential characteristics of this application. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of this application is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within this application. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for detecting the status of a meter box based on box loss correction, characterized in that the method... include: S1. For the transformer substation where the status of the meter box to be detected is to obtain the electricity data of all meter boxes and all meters in the substation within a preset historical time range; and obtain the current filing information of the correspondence between meter boxes and meters in the substation, which includes the relationship between meter boxes and the relationship between meter boxes and meters; select the meters to be determined and preprocess the electricity data of each meter box and meter to obtain the electricity sequence. S2. Based on the pending meters and the filing information, the first pending meter box and the first other meter boxes are determined by calculating the meter box loss. The electricity of the first pending meter box and the other first other meter boxes are fitted and corrected, and the relationship between the meter boxes in the filing information is updated. S3. Based on the updated filing information in S2, calculate the updated meter box loss, determine the pending meters and the second pending meter box, fit and correct the electricity of the second pending meter box with other pending meters, and update the relationship between pending meters and meter boxes in the filing information. S4. For each second preset time granularity within the preset historical time range, repeat S2-S3 until the updated relationships between meter boxes and between meter boxes and pending meters are obtained, and update the final filing information; calculate the box damage of each meter box based on the filing information to achieve status detection of each meter box.

2. The meter box status detection method based on box loss correction according to claim 1, characterized in that, S1 includes the following steps: S11. For the distribution area where the meter box status is to be detected, within a preset historical time range, obtain the electricity data of all meter boxes and all meters in the distribution area within the preset historical time range according to the first preset time granularity. S12. Obtain the filing information of the correspondence between the meter boxes and the meters in this distribution area; S13. Construct a second meter file based on all meters corresponding to the electricity data, compare the file information with the meter information in the second meter file, and select the extra meters in the second meter file as pending meters. S14. Preprocess the power data of each meter box and meter to obtain a power sequence aligned with the first preset time granularity.

3. The meter box status detection method based on box loss correction according to claim 1, characterized in that: S2 includes the following steps: S21. Based on the current data, calculate the box loss sequence and box loss power of each box within the second preset time granularity. S22. Determine the first undetermined meter box and the first other meter boxes based on the power loss of the box. Fit and correct the power of the first undetermined meter box and the other first other meter boxes. Obtain the relationship between all the first undetermined meter boxes and the other first other meter boxes based on the correction results. S23. Update the table of relationships between the first undetermined table boxes and other first other table boxes to the table of relationships between the table boxes and their respective owners for the day, based on the relationship between all the first undetermined table boxes and other first other table boxes. If S22 is executed for two consecutive days and the conditions are met, the relationship between table boxes in the filing information will be updated.

4. The meter box status detection method based on box loss correction according to claim 3, characterized in that: S22 includes the following steps: S221. Set a daily power loss threshold and select meter boxes that exceed the daily power loss threshold as the first pending meter boxes based on the power loss. S222, Fit the power consumption of the first undetermined meter box with that of other first meter boxes; The fitting process includes: Fitting the second preset time granularity box loss of the first undetermined meter box with that of other first meter boxes within the same time period within a preset historical time range. S223. Calculate the ratio of the electricity consumption within the second preset time granularity of each first other meter box to the box loss electricity consumption within the second preset time granularity of the first undetermined meter box, and obtain a first ratio sequence; when the ratio in the first ratio sequence is less than 0.2 or greater than 1.1, the fitted value of the first other meter box corresponding to the ratio is set to 0. S224. Select the first other table box whose fitted value R is in the range of 0.7~1.4, and determine that the first other table box belongs to this first undetermined table box.

5. The meter box status detection method based on box loss correction according to claim 4, characterized in that: The fitting formulas in S222 include: ; in, This is the box loss sequence within the second preset time granularity. For n first other meter boxes, the second preset time granularity of the power sequence is given. , … The fitted values ​​are obtained after fitting the n first other table boxes.

6. The meter box status detection method based on box loss correction according to claim 4, characterized in that: The formula for calculating the first ratio sequence is: [ ; in, For the electricity consumption within the second preset time granularity of n first other meter boxes, [ This is the first ratio sequence. It is the ratio of the electricity consumption within the second preset time granularity of the nth first other meter box to the electricity consumption within the second preset time granularity of the first undetermined meter box.

7. The meter box status detection method based on box loss correction according to claim 1, characterized in that: S3 includes the following steps: S31. Based on the updated filing information, calculate the updated box loss sequence and box loss power for each box within the second preset time granularity; S32. Determine the second undetermined meter box based on the meter box loss, fit and correct the electricity of the second undetermined meter box with other undetermined meters, and obtain the relationship between the second undetermined meter box and other undetermined meters based on the correction result. S33. Update the relationship between the undetermined meters and the meter box to the current day based on the relationship between all other undetermined meters and the second undetermined meter box; if the condition of fitting S324 is met when S32 is executed for two consecutive days, update the relationship between the undetermined meters and the meter box in the filing information.

8. The meter box status detection method based on box loss correction according to claim 7, characterized in that: S32 includes the following steps: S321. Set a second threshold, select meter boxes that exceed the second threshold as second pending meter boxes based on the updated meter box power loss, and select pending meters whose power exceeds the second threshold as other pending meters. S322. Fit the electricity consumption of the second undetermined meter box with that of other undetermined meters. The fitting process includes: fitting the second preset time granularity box loss of the second undetermined meter box with the second preset time granularity electricity consumption of other undetermined meters within the same time period within a preset historical time range. S323. Calculate the ratio of the electricity consumption within the second preset time granularity of each undetermined meter to the electricity consumption within the second preset time granularity of the second undetermined meter box, and obtain a second ratio sequence; when the ratio in the second ratio sequence is less than 0.2 or greater than 1.1, the fitted value of the undetermined meter corresponding to that ratio is set to 0. S324. Select other undetermined meters with fitted values ​​ranging from 0.7 to 1.4, and determine that the undetermined meter belongs to this second undetermined meter box.

9. The meter box status detection method based on box loss correction according to claim 8, characterized in that: The fitting formulas in S322 include: ; in, This is the updated box loss sequence within the second preset time granularity. For i other undetermined electricity meters, the second preset time-granularity electricity sequence is... , … The fitted values ​​are obtained after fitting the values ​​corresponding to the i other undetermined meters.

10. The meter box status detection method based on box loss correction according to claim 8, characterized in that: The formula for calculating the second ratio sequence is: [ ; in, For the electricity consumption within a second preset time granularity for each other pending electricity meter, [ This is the second ratio sequence. It is the ratio of the electricity consumption within the second preset time granularity of the i-th pending meter to the electricity consumption within the second preset time granularity of the second pending meter box.