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Method for quantifying reliability indexes of intelligent electric energy meter in typical environment

A technology of smart electric energy meter and quantification method, which is applied in the fields of instruments, complex mathematical operations, data processing applications, etc., can solve the problems of low accuracy and poor objectivity, and achieve the effect of avoiding high precision and avoiding strong interpretability.

Pending Publication Date: 2019-12-03
STATE GRID HEILONGJIANG ELECTRIC POWER CO LTD ELECTRIC POWER RES INST
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Problems solved by technology

[0005] The purpose of the present invention is to propose a quantitative method for the reliability index of smart electric energy meters in a typical environment in view of the problems of poor objectivity and low accuracy in the analysis of reliability indexes of smart electric energy meters in the prior art

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  • Method for quantifying reliability indexes of intelligent electric energy meter in typical environment
  • Method for quantifying reliability indexes of intelligent electric energy meter in typical environment
  • Method for quantifying reliability indexes of intelligent electric energy meter in typical environment

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specific Embodiment approach 1

[0033] Specific implementation mode one: refer to figure 1 with figure 2 This embodiment is described in detail. The quantitative method for the reliability index of a smart electric energy meter in a typical environment described in this embodiment includes the following steps:

[0034] Step 1: According to the regional characteristics of the typical environment, use the AHP to establish a multi-level index system consisting of first-level indicators and second-level indicators. The index system constructed by specific first-level indicators and second-level indicators is as attached figure 1 shown.

[0035] Step 2: According to the AHP theory, use the Delphi method to determine the importance ranking table of the evaluation indicators, and form the initial matrix D(x ij ), and execute step 3 for D(x ij ) for analysis.

[0036] Wherein i=1, 2,..., k; j=1, 2,..., n; k represents the number of questionnaires; n is the number of evaluation indicators.

[0037] Step 3: Acc...

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Abstract

The invention discloses a method for quantifying reliability indexes of an intelligent electric energy meter in a typical environment. The invention relates to the technical field of intelligent ammeter reliability comprehensive evaluation. The objective of the invention is to solve the problems of poor objectivity and low accuracy of reliability index analysis of an intelligent electric energy meter in the prior art. According to the method, an intelligent electric energy meter reliability index system in a typical environment is constructed according to regional characteristics of the typical environment; an improved entropy weight method is adopted to calculate the first-level index weight and the corresponding second-level index weight in the index system, then the comprehensive weightof the second-level index is calculated according to the first-level index weight value and the corresponding second-level index weight value, and finally the quantification process of the reliability index of the intelligent electric energy meter in the typical environment is completed. Typical environment parameter indexes influencing the reliability of the intelligent electric energy meter areprovided, and a basis is provided for subsequent targeted analysis of the influence degree of extreme environment parameters on the reliability of the intelligent electric energy meter.

Description

technical field [0001] The invention relates to the technical field of comprehensive evaluation of the reliability of smart electric energy meters, in particular to a quantification method for reliability indexes of intelligent electric energy meters in a typical environment. Background technique [0002] my country has a vast territory and complex geographical and climate conditions. Smart energy meters are used in various harsh natural environmental conditions. Typical environmental conditions include the four regions of Heilongjiang, Tibet, Fujian and Xinjiang. The lowest temperature in winter in Heilongjiang may reach -52°C, and temperature is the most important factor affecting the reliability of smart energy meters; Tibet has high altitude, low air density and strong solar radiation, air pressure and light are the most important factors affecting the reliability of smart energy meters Factors; Fujian belongs to the subtropical marine monsoon climate, with the characte...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F17/16
CPCG06Q10/06393G06Q50/06G06F17/16
Inventor 曹宏宇闫明文刘惠颖殷鑫文茹馨胡恒王曦宫游李兴刚梁言贺王晓宇康德功满江雪孙洋田文杨作鹏富磊
Owner STATE GRID HEILONGJIANG ELECTRIC POWER CO LTD ELECTRIC POWER RES INST
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