Method and system for evaluating quality of service of electric energy metering

Abstract

The application provides an evaluation method and system for quality of electric energy metering service, comprising: obtaining electric energy metering service data from multiple data sources; inputting the obtained electric energy metering service data into a preset electric energy metering device quality evaluation model to obtain quality parameters corresponding to indexes of electric energy metering device quality; the electric energy metering device quality evaluation model is based on dimensions of electric energy metering service quality evaluation in the whole life cycle of metering materials, and quantifies each index according to a preset quantification basis; and the quality of the electric energy metering device is evaluated according to the quality parameters and a preset weight to obtain an evaluation result. The application periodically carries out service quality evaluation work, is beneficial to forming and analyzing change trends, further supports decision-making, and improves management level; is popularized and applied to other service types, can form a three-dimensional evaluation system, effectively improves the quality evaluation efficiency and accuracy of electric energy metering service, and thus improves the level of electric energy metering service handling.

Description

Technical Field

[0001] This invention relates to the field of power system automation technology, and in particular to a method and system for evaluating the quality of electricity metering services. Background Technology

[0002] In power systems, the accuracy and reliability of electricity metering are crucial for business applications such as electricity trading settlement, power analysis, and demand-side management. Existing methods for evaluating electricity metering quality largely rely on human experience, lacking systematic and scientific rigor. This results in low efficiency and poor accuracy in evaluating the quality of electricity metering services, thus limiting the overall level of electricity metering service delivery. Summary of the Invention

[0003] The purpose of this invention is to propose a method and system for evaluating the quality of electricity metering services, and to solve the technical problem of how to improve the efficiency and accuracy of quality evaluation of electricity metering services, thereby improving the level of electricity metering service processing.

[0004] On the one hand, a method for evaluating the quality of electricity metering services is provided, including:

[0005] Obtain electricity metering business data from multiple data sources;

[0006] The acquired electricity metering business data is input into a preset electricity metering device quality assessment model to obtain the quality parameters corresponding to the indicators of electricity metering device quality. The electricity metering device quality assessment model is based on the dimension of electricity metering business quality evaluation throughout the entire life cycle of metering materials, and quantifies each indicator according to preset quantitative criteria.

[0007] The quality of the electricity metering device is evaluated based on the quality parameters and preset weights to obtain the evaluation results.

[0008] Preferably, the electricity metering business data includes at least the number of electricity meters waiting to be installed, the number of electricity meters to be installed, the difference between the number of meters in the marketing system and the material system, the number of qualified electricity meters in the material system, the number of meters installed before being issued, the total number of scattered meters installed, the number of meters with extremely short work orders, and the number of electricity meters that have not been inspected and certified within the time limit.

[0009] Preferably, the quality indicators of the electricity metering device include at least the following: the number of qualified electricity meters in stock, the number of electricity meters that have been issued but not installed for a long time, the number of meters that were installed before being issued, the number of work orders that are too short, and the number of returned electricity meters that have not been inspected within the specified period.

[0010] Preferably, the quality assessment model for the electricity metering device is specifically used to calculate the anomaly rate corresponding to the quality indicators of the electricity metering device based on the received electricity metering service data.

[0011] Among them, the ratio between the number of long-term uninstalled electricity meters and the number of electricity meters to be installed is used as the abnormality rate of the long-term uninstalled electricity meter index.

[0012] The ratio between the difference in quantity between the marketing system and the materials system and the number of qualified energy meters in the materials system is used as the abnormality rate of the qualified energy meter quantity index.

[0013] The ratio between the number of items that are packed first and then requisitioned and the total number of items in the miscellaneous packing list is used as the abnormality rate of the packed first and then requisitioned indicator.

[0014] The ratio between the number of electricity meters in ultra-short work orders and the total number of scattered meter installations is used as the abnormality rate of the ultra-short work order index.

[0015] The ratio of the number of overdue and uncertified electricity meters to the total number of electricity meters to be certified is used as the abnormality rate of the overdue and uncertified indicators of returned electricity meters.

[0016] Preferably, the quality assessment model of the power metering device is further used to calculate the score corresponding to each indicator based on the abnormality rate of each indicator; wherein, the difference between the abnormality rate of the indicator and the maximum value of the abnormality rate among all indicators is determined, the ratio between the difference and the maximum value of the abnormality rate among all indicators is multiplied by the total score, and the sum of the product and the preset base score is used as the score corresponding to the indicator.

[0017] Preferably, it also includes, based on the preset maintenance unit attributes of the metering materials and work orders, evaluating and deciding on the abnormality rate and score corresponding to the quality indicators of the power metering device.

[0018] Based on the benchmark evaluation decision matrix, the score parameters for each operation and maintenance unit are obtained;

[0019] Based on the scores of each operation and maintenance unit, their electricity metering operation and maintenance levels are ranked according to their level of advancement.

[0020] On the other hand, an evaluation system for the quality of electricity metering services is also provided, for implementing the aforementioned evaluation method for the quality of electricity metering services, including:

[0021] The data acquisition module is used to acquire electricity metering business data from multiple data sources;

[0022] The quantification module is used to input the acquired electricity metering business data into a preset electricity metering device quality assessment model to obtain the quality parameters corresponding to the indicators of electricity metering device quality. The electricity metering device quality assessment model is based on the dimensions of electricity metering business quality evaluation throughout the entire life cycle of metering materials, and quantifies each indicator according to preset quantification criteria.

[0023] The evaluation module is used to calculate the weight of each indicator according to the analytic hierarchy process, and evaluate the quality of the power metering device according to the quality parameters and preset weights to obtain the evaluation results.

[0024] Preferably, the quantization module is specifically used to calculate the anomaly rate corresponding to the quality index of the electricity metering device based on the received electricity metering service data;

[0025] Among them, the ratio between the number of long-term uninstalled electricity meters and the number of electricity meters to be installed is used as the abnormality rate of the long-term uninstalled electricity meter index.

[0026] The ratio between the difference in quantity between the marketing system and the materials system and the number of qualified energy meters in the materials system is used as the abnormality rate of the qualified energy meter quantity index.

[0027] The ratio between the number of items that are packed first and then requisitioned and the total number of items in the miscellaneous packing list is used as the abnormality rate of the packed first and then requisitioned indicator.

[0028] The ratio between the number of electricity meters in ultra-short work orders and the total number of scattered meter installations is used as the abnormality rate of the ultra-short work order index.

[0029] The ratio of the number of overdue and uncertified electricity meters to the total number of electricity meters to be certified is used as the abnormality rate of the overdue and uncertified indicators of returned electricity meters.

[0030] Preferably, the quantification module is further configured to calculate the score corresponding to each indicator based on the anomaly rate of each indicator; wherein, the difference between the anomaly rate of the indicator and the maximum value of the anomaly rate among all indicators is determined, the ratio between the difference and the maximum value of the anomaly rate among all indicators is multiplied by the total score, and the sum of the product and the preset base score is used as the score corresponding to the indicator.

[0031] Preferably, the evaluation module is further configured to, based on the preset maintenance unit attributes of the metering materials and work orders, evaluate the abnormality rate and the score corresponding to the indicators of the quality of the power metering device into an evaluation decision matrix.

[0032] Based on the benchmark evaluation decision matrix, the score parameters for each operation and maintenance unit are obtained;

[0033] Based on the scores of each operation and maintenance unit, their electricity metering operation and maintenance levels are ranked according to their level of advancement.

[0034] In summary, implementing the embodiments of the present invention has the following beneficial effects:

[0035] The method and system for evaluating the quality of electricity metering services provided by this invention, by quantitatively scoring each operation and maintenance unit on the same dimension, facilitates the identification of weaknesses; regular business quality evaluation helps to form and analyze changing trends, further supporting decision-making and improving management level; its application to other business types can form a three-dimensional evaluation system; and it effectively improves the efficiency and accuracy of electricity metering service quality evaluation, thereby improving the level of electricity metering service processing. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, obtaining other drawings based on these drawings without creative effort still falls within the scope of the present invention.

[0037] Figure 1 This is a schematic diagram of the main process of an evaluation method for the quality of electricity metering services in an embodiment of the present invention. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.

[0039] like Figure 1 The diagram shown is a schematic representation of an embodiment of a method for evaluating the quality of electricity metering services provided by the present invention. In this embodiment, the method includes the following steps:

[0040] Step S1: Obtain electricity metering business data from multiple data sources; understandably, obtain backend data from the metering management system and the materials management system, and clean the data for the required indicators.

[0041] The electricity metering business data includes at least the following: the number of electricity meters waiting to be installed, the number of electricity meters to be installed, the difference between the number of meters in the marketing system and the material system, the number of qualified electricity meters in the material system, the number of meters installed before being issued, the total number of scattered meters installed, the number of meters with extremely short work orders, and the number of electricity meters that have not been inspected and certified within the time limit.

[0042] Step S2: Input the acquired electricity metering service data into a preset electricity metering device quality assessment model to obtain the quality parameters corresponding to the electricity metering device quality indicators. The electricity metering device quality assessment model is based on the dimensions of electricity metering service quality evaluation throughout the entire life cycle of metering materials, and quantifies each indicator according to preset quantitative criteria. Understandably, the dimensions of electricity metering service quality evaluation based on the entire life cycle of metering materials are determined. The electricity metering device quality assessment model is constructed, including indicators in the inventory stage, operation and maintenance stage, and decommissioning stage. Each indicator is quantified according to preset quantitative criteria to obtain the quality parameters corresponding to each indicator.

[0043] The quality indicators of the aforementioned electricity metering devices include at least the following: the number of qualified electricity meters in stock, the number of electricity meters that have been issued but not installed for a long time, the number of meters installed before being issued, the number of work orders with excessively short durations, and the number of returned electricity meters that have exceeded their service life without verification. Understandably, the quality assessment model indicators, including the consistency of the number of qualified electricity meters in stock, the number of electricity meters that have been issued but not installed for a long time, the number of meters installed before being issued, the number of work orders with excessively short durations, and the number of returned electricity meters that have exceeded their service life without verification, can effectively assess the level of electricity metering operation and maintenance, providing data support for lean management of electricity metering.

[0044] In one embodiment, the energy metering device quality assessment model is specifically used to calculate the anomaly rate corresponding to the quality indicators of energy metering devices based on the received energy metering business data. Specifically, the ratio between the number of long-term pending energy meters and the number of energy meters awaiting installation is used as the anomaly rate for the long-term non-installation indicator of requisitioned energy meters; the ratio between the difference in quantity between the marketing system and the materials system and the number of qualified energy meters in the materials system is used as the anomaly rate for the number of qualified energy meters in the materials system; the ratio between the number of meters installed before requisition and the total number of scattered installations is used as the anomaly rate for the first-installation-before-requisition indicator; the ratio between the number of meters with extremely short work orders and the total number of scattered installations is used as the anomaly rate for the extremely short work order indicator; and the ratio between the number of energy meters overdue for inspection and the total number of energy meters awaiting inspection is used as the anomaly rate for the overdue non-inspection indicator of returned energy meters.

[0045] Specifically, the quality assessment model for the electricity metering device is also used to calculate the score corresponding to each indicator based on the abnormality rate of each indicator; wherein, the difference between the abnormality rate of the indicator and the maximum value of the abnormality rate among all indicators is determined, the ratio between the difference and the maximum value of the abnormality rate among all indicators is multiplied by the total score, and the sum of the product and the preset base score is used as the score corresponding to the indicator.

[0046] It should be noted that Table 1 is a table showing that the electricity meter has not been installed for a long time.

[0047] Operation and maintenance unit Number of electricity meters to be installed Number of long-term installed electricity meters Abnormality rate Score ↓ Unit 1 417 0 0％ 100 Unit 2 350 20 5.71％ 90.74 …… 640 79 12.34％ 80.00

[0048] The anomaly rate in Table 1 is calculated as follows: (Number of long-term pending electricity meters / Number of electricity meters awaiting installation) * 100%. The formulas for the other four indicators are: Anomaly rate for consistency of qualified in-stock electricity meters = (Difference between marketing system and materials system quantity) / (Number of qualified in-stock electricity meters in materials system) * 100%. Anomaly rate for "installed before requisitioned" = (Number of installed before requisitioned) / (Total number of scattered installed meters) * 100%. Anomaly rate for excessively short work orders = (Number of meters in excessively short work orders) / (Total number of scattered installed meters) * 100%. Anomaly rate for returned electricity meters not yet inspected within the specified period = (Number of electricity meters not yet inspected within the specified period) / (Total number of electricity meters awaiting inspection) * 100%. Score = Base score + ((Anomaly rate - Maximum anomaly rate) / (- Maximum anomaly rate)) * Total score.

[0049] Step S3: Evaluate the quality of the electricity metering device based on the quality parameters and preset weights to obtain the evaluation results. Based on preset maintenance unit attributes for metering materials and work orders, evaluate the abnormality rate and score corresponding to the quality indicators of the electricity metering device into an evaluation decision matrix. Based on the evaluation decision matrix, derive the score parameters for each maintenance unit. Then, rank the electricity metering maintenance levels according to the scores of each maintenance unit.

[0050] Embodiments of the present invention also provide an evaluation system for the quality of electricity metering services, which is used in the aforementioned evaluation method for the quality of electricity metering services, comprising:

[0051] The data acquisition module is used to acquire electricity metering business data from multiple data sources;

[0052] The quantification module is used to input the acquired electricity metering business data into a preset electricity metering device quality assessment model to obtain the quality parameters corresponding to the indicators of electricity metering device quality. The electricity metering device quality assessment model is based on the dimensions of electricity metering business quality evaluation throughout the entire life cycle of metering materials, and quantifies each indicator according to preset quantification criteria.

[0053] The evaluation module is used to calculate the weight of each indicator according to the analytic hierarchy process, and evaluate the quality of the power metering device according to the quality parameters and preset weights to obtain the evaluation results.

[0054] In a specific embodiment, the quantification module is specifically used to calculate the anomaly rate corresponding to the quality indicators of electricity metering devices based on the received electricity metering business data; wherein, the ratio between the number of long-term pending electricity meters and the number of electricity meters to be installed is used as the anomaly rate of the long-term non-installation indicator of issued electricity meters; the ratio between the difference in quantity between the marketing system and the materials system and the number of qualified electricity meters in the materials system is used as the anomaly rate of the qualified electricity meter quantity indicator; the ratio between the number of meters installed before being issued and the total number of scattered meters installed is used as the anomaly rate of the installed before being issued indicator; the ratio between the number of meters with ultra-short work orders and the total number of scattered meters installed is used as the anomaly rate of the ultra-short work order indicator; and the ratio between the number of electricity meters that have not been inspected within the time limit and the total number of electricity meters to be inspected is used as the anomaly rate of the returned electricity meters that have not been inspected within the time limit.

[0055] The quantification module is further used to calculate the score corresponding to each indicator based on the abnormality rate of each indicator; wherein, the difference between the abnormality rate of the indicator and the maximum value of the abnormality rate among all indicators is determined, the ratio between the difference and the maximum value of the abnormality rate among all indicators is multiplied by the total score, and the sum of the product and the preset base score is used as the score corresponding to the indicator.

[0056] The evaluation module is also used to: evaluate the abnormality rate and score of the indicators corresponding to the quality indicators of the power metering device according to the preset operation and maintenance unit attributes of the metering materials and work orders; obtain the score parameters of each operation and maintenance unit according to the evaluation decision matrix; and rank the power metering operation and maintenance level of each operation and maintenance unit according to the score of each operation and maintenance unit.

[0057] It should be noted that the system described in the above embodiments corresponds to the method described in the above embodiments. Therefore, the parts of the system described in the above embodiments that are not described in detail can be obtained by referring to the content of the method described in the above embodiments, and will not be repeated here.

[0058] In summary, implementing the embodiments of the present invention has the following beneficial effects:

[0059] The method and system for evaluating the quality of electricity metering services provided by this invention, by quantitatively scoring each operation and maintenance unit on the same dimension, facilitates the identification of weaknesses; regular business quality evaluation helps to form and analyze changing trends, further supporting decision-making and improving management level; its application to other business types can form a three-dimensional evaluation system; and it effectively improves the efficiency and accuracy of electricity metering service quality evaluation, thereby improving the level of electricity metering service processing.

[0060] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for evaluating the quality of electricity metering services, characterized in that, include: Obtain electricity metering business data from multiple data sources; The acquired electricity metering business data is input into a preset electricity metering device quality assessment model to obtain the quality parameters corresponding to the indicators of electricity metering device quality. The electricity metering device quality assessment model is based on the dimension of electricity metering business quality evaluation throughout the entire life cycle of metering materials, and quantifies each indicator according to preset quantitative criteria. The quality of the electricity metering device is evaluated based on the quality parameters and preset weights to obtain the evaluation results; The energy metering device quality assessment model is specifically used to calculate the anomaly rate corresponding to the quality indicators of the energy metering device based on the received energy metering service data. Among them, the ratio between the number of long-term uninstalled electricity meters and the number of electricity meters to be installed is used as the abnormality rate of the long-term uninstalled electricity meter index. The ratio between the difference in quantity between the marketing system and the materials system and the number of qualified energy meters in the materials system is used as the abnormality rate of the qualified energy meter quantity index. The ratio between the number of items that are packed first and then requisitioned and the total number of items in the miscellaneous packing list is used as the abnormality rate of the packed first and then requisitioned indicator. The ratio between the number of electricity meters in ultra-short work orders and the total number of scattered meter installations is used as the abnormality rate of the ultra-short work order index. The ratio between the number of overdue and uncertified energy meters and the total number of energy meters to be certified is used as the abnormality rate of the overdue and uncertified energy meter return indicator. The power metering device quality assessment model is also used to calculate the score corresponding to each indicator based on the abnormality rate of each indicator. The method further includes: Based on the preset maintenance unit attributes of metering materials and work orders, the abnormality rate and score corresponding to the quality indicators of the power metering device are evaluated and decided by the matrix. Based on the benchmark evaluation decision matrix, the score parameters for each operation and maintenance unit are obtained; Based on the scores of each operation and maintenance unit, their electricity metering operation and maintenance levels are ranked according to their level of advancement.

2. The method as described in claim 1, characterized in that, The specific steps of calculating the score corresponding to each indicator based on the abnormality rate of each indicator include: determining the difference between the abnormality rate of the indicator and the maximum abnormality rate among all indicators, multiplying the ratio of the difference to the maximum abnormality rate among all indicators by the total score to obtain a product, and summing the product with the preset base score as the score corresponding to the indicator.

3. A system for evaluating the quality of electricity metering services, used to implement the method as described in any one of claims 1-2, characterized in that, include: The data acquisition module is used to acquire electricity metering business data from multiple data sources; The quantification module is used to input the acquired electricity metering business data into a preset electricity metering device quality assessment model to obtain the quality parameters corresponding to the indicators of electricity metering device quality. The electricity metering device quality assessment model is based on the dimensions of electricity metering business quality evaluation throughout the entire life cycle of metering materials, and quantifies each indicator according to preset quantification criteria. The evaluation module is used to calculate the weights of each indicator according to the analytic hierarchy process, and to evaluate the quality of the power metering device according to the quality parameters and preset weights, so as to obtain the evaluation results.

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