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Intelligent ammeter provider multi-target integral evaluation method based on gray correlation degree

A smart energy meter, grey correlation technology, applied in business, data processing application, marketing, etc., can solve the problem of lack of comprehensive evaluation index system, and achieve the effect of avoiding unit inconsistency, solving complex indicators, and evaluating scientific and objective

Inactive Publication Date: 2017-04-19
STATE GRID CORP OF CHINA +4
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Problems solved by technology

However, at present, the simple index weighting method is often used to evaluate suppliers, and there is still a lack of effective comprehensive evaluation index system and comprehensive evaluation tools to evaluate the quality level of suppliers. Therefore, a new method is urgently needed to scientifically and Effectively solve the problem of comprehensive evaluation of smart energy meter suppliers

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  • Intelligent ammeter provider multi-target integral evaluation method based on gray correlation degree
  • Intelligent ammeter provider multi-target integral evaluation method based on gray correlation degree
  • Intelligent ammeter provider multi-target integral evaluation method based on gray correlation degree

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Embodiment Construction

[0030] Such as figure 1 As shown, the implementation steps of the multi-objective comprehensive evaluation method for smart energy meter suppliers based on the gray correlation degree in this embodiment include:

[0031] 1) Establish a comprehensive evaluation model for smart energy meter suppliers. The comprehensive evaluation model for smart energy meter suppliers includes multiple indicators for evaluating smart energy meter suppliers. Multiple indicators include first-level indicators and m evaluation indicators, m evaluation indicators The indicators belong to different first-level indicators; for m second-level indicators and given n smart energy meter suppliers to be evaluated, the evaluation values ​​of m evaluation indicators are respectively determined and the indicators shown in formula (1) are constructed matrix Z = {Z 0 ,Z 1 ...Z n};

[0032]

[0033] In formula (1), the first column Z 0 (z 10 ~z m0 ) represents the ideal evaluation value among the m eva...

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Abstract

The invention discloses an intelligent ammeter provider multi-target integral evaluation method based on gray correlation degrees; the method comprises the following steps: suggesting an intelligent ammeter provider integral evaluation model so as to fully and objectively evaluate the intelligent ammeter provider; using a vector specification-based method to carry out dimensionless process for an index matrix, thus preventing inconsistent units and large magnitude order difference problems caused by different types of indexes; finally calculating the gray correlation degree, and converting the intelligent ammeter provider multi-target evaluation problem into correlation coefficient comparison. Compared with a conventional simple index weighting method, the intelligent ammeter provider multi-target integral evaluation method is more direct and scientific, can effectively solve the intelligent ammeter provider integral evaluation problem, can carry out multi-target integral quantification evaluation for a to-be-evaluated provider with obvious physics meanings, thus solving the problems that the multi-target evaluation is complex in indexes and strong in subjectivity; the intelligent ammeter provider multi-target integral evaluation method is high in evaluation accuracy, and scientific and objective in evaluations.

Description

technical field [0001] The invention relates to electrical engineering analysis and data mining technology, in particular to a multi-objective comprehensive evaluation method for intelligent electric energy meter suppliers based on gray correlation degree. Background technique [0002] With the advancement of my country's smart grid construction, the application of smart energy meters has become increasingly widespread, and many suppliers of smart energy meters have emerged on the market. However, these suppliers have different scales and product quality. Make a reasonable evaluation of the product quality and service level of the supplier to select high-quality and efficient smart energy meter suppliers for supply, improve the operation quality level of smart energy meters, and protect the vital interests of power companies and electricity customers. However, at present, the simple index weighting method is often used to evaluate suppliers, and there is still a lack of effec...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q30/02G06Q50/06
CPCY02P90/82G06Q10/06393G06Q10/06395G06Q30/0282G06Q50/06
Inventor 陈浩徐先勇向洁申丽曼黄瑞陈福胜张璨辉杨方卜龙敏贺星李恺熊德智王伟能
Owner STATE GRID CORP OF CHINA
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