Method and system for evaluating electric energy metering service quality

Abstract

The invention provides an electric energy metering service quality evaluation method and system, and the method comprises the steps: obtaining electric energy metering service data from a plurality of data sources; inputting the obtained electric energy metering service data into a preset electric energy metering device quality evaluation model to obtain a quality parameter corresponding to the quality index of the electric energy metering device; the electric energy metering device quality evaluation model quantifies each index according to a preset quantification basis based on the dimension of metering the electric energy metering service quality evaluation of the full life cycle of materials; and evaluating the quality of the electric energy metering device according to the quality parameter and a preset weight to obtain an evaluation result. According to the invention, service quality evaluation work is carried out regularly, thereby facilitating formation and analysis of change trends, further supporting decision and improving management level; the method can be popularized and applied to other business types to form a three-dimensional evaluation system; the quality evaluation efficiency and accuracy of the electric energy metering service are effectively improved, so that the handling level of the electric energy metering service is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system automation, and in particular to a method and system for evaluating the quality of electric energy metering services. Background Art

[0002] In the power system, the accuracy and reliability of electric energy metering are crucial for business applications such as power trading settlement, power analysis, and demand side management. Existing methods for evaluating the quality of electric energy metering rely on manual experience and lack systematicity and scientificity, resulting in low efficiency and poor accuracy in the quality evaluation of electric energy metering services, which in turn leads to limited level of handling of electric energy metering services. Summary of the invention

[0003] The purpose of the present invention is to propose a method and system for evaluating the quality of electric energy metering services, so as to solve the technical problem of how to improve the efficiency and accuracy of quality evaluation of electric energy metering services, thereby improving the level of electric energy metering services.

[0004] On the one hand, a method for evaluating the quality of electric energy metering services is provided, comprising:

[0005] Acquire power metering business data from multiple data sources;

[0006] Input the acquired electric energy metering service data into a preset electric energy metering device quality assessment model to obtain quality parameters corresponding to indicators of the electric energy metering device quality; the electric energy metering device quality assessment model is based on the dimension of electric energy metering service quality evaluation over the entire life cycle of metering materials, and quantifies each indicator according to a preset quantitative basis;

[0007] The quality of the electric energy metering device is evaluated according to the quality parameters and the preset weights to obtain an evaluation result.

[0008] Preferably, the electricity metering business data includes at least the number of electricity meters to be installed for a long time, the number of electricity meters to be installed, the difference between the marketing system and the material system, the number of qualified electricity meters in stock in the material system, the number of installed first and then received, the total number of scattered installed meters, the number of electricity meters with ultra-short work orders, and the number of electricity meters that have expired and have not been identified.

[0009] Preferably, the indicators of the quality of the electric energy metering device include at least the number of qualified electric energy meters in stock, the indicator of the long-term non-installation of the electric energy meters received, the indicator of first installation and then receipt, the indicator of extremely short work orders and the indicator of the returned electric energy meters that have not been identified for a long time.

[0010] Preferably, the electric energy metering device quality assessment model is specifically used to calculate the abnormality rate corresponding to the indicator of the quality of the electric energy metering device according to the received electric energy metering service data;

[0011] Among them, the ratio between the number of long-term pending electricity meters and the number of electricity meters to be installed is used as the abnormal rate of the indicator of long-term non-installation of electricity meters;

[0012] The ratio between the difference between the marketing system and the material system and the number of qualified electric energy meters in stock in the material system is taken as the abnormal rate of the number of qualified electric energy meters in stock;

[0013] The ratio between the number of first-installed and last-collected and the total number of scattered loading tables is taken as the abnormal rate of the first-installed and last-collected indicator;

[0014] The ratio between the number of ultra-short work order meters and the total number of scattered installed meters is used as the abnormal rate of the ultra-short work order indicator;

[0015] The ratio between the number of overdue and unidentified electric energy meters and the total number of electric energy meters to be identified is taken as the abnormal rate of the overdue and unidentified indicator for returned electric energy meters.

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

[0017] Preferably, it also includes, according to the preset operation and maintenance unit attributes of the metering materials and work orders, evaluating the decision matrix of the indicators corresponding to the abnormality rate and the score of the quality indicators of the electric energy metering device;

[0018] According to the standard evaluation decision matrix, the score parameters of each operation and maintenance unit are obtained;

[0019] According to the score of each operation and maintenance unit, its electricity metering operation and maintenance level is ranked according to its advancement.

[0020] On the other hand, a system for evaluating the quality of electric energy metering services is also provided, which is used to implement the method for evaluating the quality of electric energy metering services, and includes:

[0021] A data acquisition module, used to acquire electric energy metering service data from multiple data sources;

[0022] A quantification module is used to input the acquired electric energy metering service data into a preset electric energy metering device quality assessment model to obtain quality parameters corresponding to indicators of the quality of the electric energy metering device; the electric energy metering device quality assessment model is based on the dimension of electric energy metering service quality evaluation over the entire life cycle of metering materials, and quantifies each indicator according to a preset quantification basis;

[0023] The evaluation module is used to calculate the weight of each indicator according to the hierarchical analysis method, and evaluate the quality of the electric energy metering device according to the quality parameters and the preset weights to obtain an evaluation result.

[0024] Preferably, the quantification module is specifically used to calculate the abnormality rate corresponding to the indicator of the quality of the electric energy metering device according to the received electric energy metering service data;

[0025] Among them, the ratio between the number of long-term pending electricity meters and the number of electricity meters to be installed is used as the abnormal rate of the indicator of long-term non-installation of electricity meters;

[0026] The ratio between the difference between the marketing system and the material system and the number of qualified electric energy meters in stock in the material system is taken as the abnormal rate of the number of qualified electric energy meters in stock;

[0027] The ratio between the number of first-installed and last-collected and the total number of scattered loading tables is taken as the abnormal rate of the first-installed and last-collected indicator;

[0028] The ratio between the number of ultra-short work order meters and the total number of scattered installed meters is used as the abnormal rate of the ultra-short work order indicator;

[0029] The ratio between the number of overdue and unidentified electric energy meters and the total number of electric energy meters to be identified is taken as the abnormal rate of the overdue and unidentified indicator for returned electric energy meters.

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

[0031] Preferably, the evaluation module is further used to evaluate the decision matrix of the indicators corresponding to the abnormal rate and the score of the quality indicators of the electric energy metering device according to the preset operation and maintenance unit attributes of the metering materials and work orders;

[0032] According to the standard evaluation decision matrix, the score parameters of each operation and maintenance unit are obtained;

[0033] According to the score of each operation and maintenance unit, its electricity metering operation and maintenance level is ranked according to its advancement.

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

[0035] The method and system for evaluating the quality of electric energy metering services provided by the present invention facilitate identification of weak points by quantitatively scoring each operation and maintenance unit at the same level; regularly conducting business quality evaluation work is conducive to forming and analyzing changing trends, further supporting decision-making, and improving management levels; promoting application to other business types can form a three-dimensional evaluation system; and effectively improving the efficiency and accuracy of quality evaluation of electric energy metering services, thereby improving the level of electric energy metering business handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, without paying creative labor, other drawings obtained based on these drawings still belong to the scope of the present invention.

[0037] Figure 1 The main flow diagram of a method for evaluating the quality of electric energy metering services in an embodiment of the present invention is shown in FIG. DETAILED DESCRIPTION

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

[0039] like Figure 1 FIG. 1 is a schematic diagram of an embodiment of a method for evaluating the quality of an electric energy metering service provided by the present invention. In this embodiment, the method comprises the following steps:

[0040] Step S1, obtaining electric energy metering business data from multiple data sources; understandably, obtaining background data of the metering management system and the material management system, and cleaning the data of the required indicators.

[0041] Among them, the electricity metering business data at least includes the number of electricity meters to be installed for a long time, the number of electricity meters to be installed, the difference between the marketing system and the material system, the number of qualified electricity meters in stock in the material system, the number of installed first and then received, the total number of scattered installed meters, the number of electricity meters with ultra-short work orders, and the number of electricity meters that have expired and have not been inspected.

[0042] Step S2, input the acquired electric energy metering service data into a preset electric energy metering device quality assessment model to obtain quality parameters corresponding to the indicators of the electric energy metering device quality; the electric energy metering device quality assessment model is based on the dimension of electric energy metering service quality evaluation over the entire life cycle of metering materials, and quantifies each indicator according to a preset quantification basis; understandably, determine the dimension of electric energy metering service quality evaluation based on the entire life cycle of metering materials; construct an electric energy metering device quality assessment model, including indicators in the inventory stage, indicators in the operation and maintenance stage, and indicators in the return stage; quantify each indicator according to the preset quantification basis to obtain the quality parameters corresponding to each indicator.

[0043] Among them, the indicators of the quality of the electric energy metering device include at least the indicators of the number of qualified electric energy meters in stock, the indicators of long-term non-installation of the electric energy meters issued, the indicators of first installation and then issuance, the indicators of extremely short work orders, and the indicators of overdue non-identification of the returned electric energy meters. Understandably, the indicators of the quality assessment model include the consistency of the number of qualified electric energy meters in stock, the long-term non-installation of the electric energy meters issued, the indicators of first installation and then issuance, the indicators of extremely short work orders, and the overdue non-identification of the returned electric energy meters, which can realize the effective assessment of the operation and maintenance level of electric energy metering and provide data support for the lean management of electric energy metering.

[0044] In one embodiment, the quality assessment model of the electric energy metering device is specifically used to calculate the abnormality rate corresponding to the indicator of the quality of the electric energy metering device based on the received electric energy metering business data; wherein, the ratio between the number of electric energy meters to be installed for a long time and the number of electric energy meters to be installed is used as the abnormality rate of the long-term non-installation indicator of the electric energy meters issued; the ratio between the difference number between the marketing system and the material system and the number of qualified electric energy meters in stock in the material system is used as the abnormality rate of the number of qualified electric energy meters in stock; the ratio between the number of first-installed and then-issued and the total number of scattered installed meters is used as the abnormality rate of the first-installed and then-issued indicator; the ratio between the number of electric energy meters with ultra-short work orders and the total number of scattered installed meters is used as the abnormality rate of the ultra-short work order indicator; the ratio between the number of overdue and unidentified electric energy meters and the total number of unidentified electric energy meters is used as the abnormality rate of the overdue and unidentified indicator of the returned electric energy meters.

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

[0046] It should be noted that Table 1 is a schematic diagram of the situation where the electricity meter has not been installed for a long time.

[0047] Operation and maintenance unit Number of electric energy meters to be installed Number of long-term electricity meters to be installed 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 abnormality rate of Table 1 = the number of long-term pending electricity meters / the number of pending electricity meters * 100%. The calculation formulas for the other four indicators are: The abnormality rate of the consistency of the number of qualified electricity meters in stock = the difference between the marketing system and the material system / the number of qualified electricity meters in stock in the material system * 100%. The abnormality rate of first installation and then delivery = the number of first installation and then delivery / the total number of scattered installed meters * 100%. The abnormality rate of ultra-short work orders = the number of ultra-short work order meters / the total number of scattered installed meters * 100%. The abnormality rate of returned electricity meters that have not been identified for a long time = the number of electricity meters that have not been identified for a long time / the total number of electricity meters to be identified * 100%. Score = basic number + ((abnormality rate - maximum abnormality rate) / (-maximum abnormality rate)) * total score.

[0049] Step S3, evaluate the quality of the electric energy metering device according to the quality parameters and the preset weights to obtain the evaluation results. According to the preset operation and maintenance unit attributes of the metering materials and work orders, the abnormal rate corresponding to the indicators of the quality of the electric energy metering device and the indicator evaluation decision matrix corresponding to the score are calculated; according to the standard evaluation decision matrix, the score parameters of each operation and maintenance unit are obtained; according to the score of each operation and maintenance unit, the electric energy metering operation and maintenance level is ranked in terms of advancement.

[0050] An embodiment of the present invention further provides an electric energy metering service quality evaluation system, which is used in the electric energy metering service quality evaluation method, comprising:

[0051] A data acquisition module, used to acquire electric energy metering service data from multiple data sources;

[0052] A quantification module is used to input the acquired electric energy metering service data into a preset electric energy metering device quality assessment model to obtain quality parameters corresponding to indicators of the quality of the electric energy metering device; the electric energy metering device quality assessment model is based on the dimension of electric energy metering service quality evaluation over the entire life cycle of metering materials, and quantifies each indicator according to a preset quantification basis;

[0053] The evaluation module is used to calculate the weight of each indicator according to the hierarchical analysis method, and evaluate the quality of the electric energy metering device according to the quality parameters and the preset weights to obtain an evaluation result.

[0054] In a specific embodiment, the quantification module is specifically used to calculate the abnormality rate corresponding to the indicator of the quality of the electric energy metering device according to the received electric energy metering business data; wherein, the ratio between the number of electric energy meters to be installed for a long time and the number of electric energy meters to be installed is used as the abnormality rate of the long-term non-installation indicator of the electric energy meters issued; the ratio between the difference number between the marketing system and the material system and the number of qualified electric energy meters in stock in the material system is used as the abnormality rate of the number of qualified electric energy meters in stock; the ratio between the number of first-installed and then-issued and the total number of scattered installed meters is used as the abnormality rate of the first-installed and then-issued indicator; the ratio between the number of electric energy meters with ultra-short work orders and the total number of scattered installed meters is used as the abnormality rate of the ultra-short work order indicator; the ratio between the number of overdue and unidentified electric energy meters and the total number of electric energy meters to be identified is used as the abnormality rate of the overdue and unidentified indicator of the returned electric energy meters.

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

[0056] The evaluation module is also used to evaluate the decision matrix of the indicators corresponding to the abnormal rate and the score of the quality indicators of the electric energy 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 standard evaluation decision matrix; and rank the electric energy metering operation and maintenance level according to the score of each operation and maintenance unit.

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

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

[0059] The method and system for evaluating the quality of electric energy metering services provided by the present invention facilitate identification of weak points by quantitatively scoring each operation and maintenance unit at the same level; regularly conducting business quality evaluation work is conducive to forming and analyzing changing trends, further supporting decision-making, and improving management levels; promoting application to other business types can form a three-dimensional evaluation system; and effectively improving the efficiency and accuracy of quality evaluation of electric energy metering services, thereby improving the level of electric energy metering business handling.

[0060] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for evaluating the quality of electric energy metering services, characterized in that: include: Acquire power metering business data from multiple data sources; Input the acquired electric energy metering service data into a preset electric energy metering device quality assessment model to obtain quality parameters corresponding to indicators of the electric energy metering device quality; the electric energy metering device quality assessment model is based on the dimension of electric energy metering service quality evaluation over the entire life cycle of metering materials, and quantifies each indicator according to a preset quantitative basis; The quality of the electric energy metering device is evaluated according to the quality parameters and the preset weights to obtain an evaluation result.

2. The method according to claim 1, characterized in that The electricity metering business data includes at least the number of electricity meters to be installed for a long time, the number of electricity meters to be installed, the difference between the marketing system and the material system, the number of qualified electricity meters in stock in the material system, the number of meters installed first and then received, the total number of scattered installations, the number of meters with ultra-short work orders, and the number of electricity meters that have expired and have not been inspected.

3. The method according to claim 2, characterized in that The indicators of the quality of the electric energy metering device include at least the number of qualified electric energy meters in stock, the indicator of the electric energy meters that have been installed for a long time, the indicator of first installation and then collection, the indicator of extremely short work orders and the indicator of returned electric energy meters that have not been identified for an extended period of time.

4. The method according to claim 3, characterized in that The electric energy metering device quality assessment model is specifically used to calculate the abnormality rate corresponding to the indicator of the electric energy metering device quality according to the received electric energy metering service data; Among them, the ratio between the number of long-term pending electricity meters and the number of electricity meters to be installed is used as the abnormal rate of the indicator of long-term non-installation of electricity meters; The ratio between the difference between the marketing system and the material system and the number of qualified electric energy meters in stock in the material system is taken as the abnormal rate of the number of qualified electric energy meters in stock; The ratio between the number of first-installed and last-collected and the total number of scattered loading tables is taken as the abnormal rate of the first-installed and last-collected indicator; The ratio between the number of ultra-short work order meters and the total number of scattered installed meters is used as the abnormal rate of the ultra-short work order indicator; The ratio between the number of overdue and unidentified electric energy meters and the total number of electric energy meters to be identified is taken as the abnormal rate of the overdue and unidentified indicator for returned electric energy meters.

5. The method according to claim 4, characterized in that The quality assessment model of the electric energy metering device is also used to calculate the score corresponding to each indicator according to the abnormal rate corresponding to each indicator; wherein, the difference between the abnormal rate of the indicator and the maximum value of the abnormal rate among the indicators is determined, the ratio between the difference and the maximum value of the abnormal rate among the indicators is multiplied by the total score, and the sum of the product and the preset basic score is used as the score corresponding to the indicator.

6. The method according to claim 5, characterized in that It also includes, according to the preset operation and maintenance unit attributes of the metering materials and work orders, evaluating the decision matrix of the indicators corresponding to the abnormality rate and the score of the quality indicators of the electric energy metering device; According to the standard evaluation decision matrix, the score parameters of each operation and maintenance unit are obtained; According to the score of each operation and maintenance unit, its electricity metering operation and maintenance level is ranked according to its advancement.

7. An evaluation system for the quality of electric energy metering services, used to implement the method according to any one of claims 1 to 6, characterized in that: include: A data acquisition module, used to acquire electric energy metering service data from multiple data sources; A quantification module is used to input the acquired electric energy metering service data into a preset electric energy metering device quality assessment model to obtain quality parameters corresponding to indicators of the quality of the electric energy metering device; the electric energy metering device quality assessment model is based on the dimension of electric energy metering service quality evaluation over the entire life cycle of metering materials, and quantifies each indicator according to a preset quantification basis; The evaluation module is used to calculate the weight of each indicator according to the hierarchical analysis method, and evaluate the quality of the electric energy metering device according to the quality parameters and the preset weights to obtain an evaluation result.

8. The system according to claim 7, characterized in that The quantification module is specifically used to calculate the abnormality rate corresponding to the indicator of the quality of the electric energy metering device according to the received electric energy metering service data; Among them, the ratio between the number of long-term pending electricity meters and the number of electricity meters to be installed is used as the abnormal rate of the indicator of long-term non-installation of electricity meters; The ratio between the difference between the marketing system and the material system and the number of qualified electric energy meters in stock in the material system is taken as the abnormal rate of the number of qualified electric energy meters in stock; The ratio between the number of first-installed and last-collected and the total number of scattered loading tables is taken as the abnormal rate of the first-installed and last-collected indicator; The ratio between the number of ultra-short work order meters and the total number of scattered installed meters is used as the abnormal rate of the ultra-short work order indicator; The ratio between the number of overdue and unidentified electric energy meters and the total number of electric energy meters to be identified is taken as the abnormal rate of the overdue and unidentified indicator for returned electric energy meters.

9. The system according to claim 8, characterized in that The quantification module is also used to calculate the score corresponding to each indicator based on the abnormal rate corresponding to each indicator; wherein, the difference between the abnormal rate of the indicator and the maximum value of the abnormal rate among the indicators is determined, the ratio between the difference and the maximum value of the abnormal rate among the indicators is multiplied by the total score, and the sum of the product and the preset basic score is used as the score corresponding to the indicator.

10. The system according to claim 9, characterized in that The evaluation module is also used to evaluate the decision matrix of the indicators corresponding to the abnormal rate and the score of the quality indicators of the electric energy metering device according to the preset operation and maintenance unit attributes of the metering materials and work orders; According to the standard evaluation decision matrix, the score parameters of each operation and maintenance unit are obtained; According to the score of each operation and maintenance unit, its electricity metering operation and maintenance level is ranked according to its advancement.

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