Electric energy meter measurement data fault analysis method based on improved AdaBoost algorithm

A technology of measurement data and fault analysis, applied in the direction of measuring electrical variables, calculation, measuring devices, etc., can solve the problems of many factors of electric energy meter faults and failure to analyze the fault factors of electric energy meters

Inactive Publication Date: 2020-08-18
宁夏隆基宁光仪表股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although this method can reduce the occurrence of electric energy meter failures to a certain extent, due to many factors causing electric energy meter failures, it is impossible to comprehen...

Method used

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  • Electric energy meter measurement data fault analysis method based on improved AdaBoost algorithm
  • Electric energy meter measurement data fault analysis method based on improved AdaBoost algorithm
  • Electric energy meter measurement data fault analysis method based on improved AdaBoost algorithm

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Embodiment 1

[0052] Example 1 System

[0053] Such as Figure 1-Figure 4 Shown, a kind of electric energy meter measurement data failure analysis system of improved AdaBoost algorithm, described system comprises:

[0054] The measurement and detection layer is at least provided with an electric energy meter verification device, an electric energy meter verification pipeline, a sensor device or an electric energy meter verification system for detecting electric energy meter data information, wherein the electric energy meter data information includes at least current, voltage, power, Vibration or ripple, the sensor device at least includes electrical sensors, infrared sensors, speed sensors, acceleration sensors, GIS sensors, vibration sensors, ripple sensors, temperature and humidity sensors, angle sensors, magnetic field sensors, rotational speed sensors, RFID tags, GPS equipment, ray radiation sensor, thermal sensor, energy consumption sensor or M2M terminal;

[0055] The data transmis...

Embodiment 2

[0062] Example 2 method

[0063] Such as Figure 5-Figure 7 Shown, a kind of electric energy meter measurement data failure analysis method of improved AdaBoost algorithm: described method comprises the following steps:

[0064] (S1) Data acquisition; obtain the data information of the electric energy meter detected by the record; and clean and sample the obtained electric energy meter data, output pure data information, and realize the preprocessing of the electric energy meter data information;

[0065] In this step, the multi-latitude data is obtained mainly through multiple channels, multiple angles, and multiple methods, and the data types may include various forms of data, such as images, texts, sounds, videos, and other data types. Due to the unevenness of data information, useful data information is screened from these data types to facilitate subsequent application and management.

[0066] (S2) Data transmission: receiving and transmitting the data information of th...

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Abstract

The invention discloses an electric energy meter metering data fault analysis method based on an improved AdaBoost algorithm, relates to the technical field of electric energy metering detection, andsolves the technical problems of low data processing speed, lagged data management mode and low application efficiency in the prior art. According to the invention, the method comprises the steps: constructing a four-layer architecture comprising a metering detection layer, a data transmission layer, a data fusion calculation layer and a data application layer; combining the Internet of Things technology, the big data analysis technology and the data communication technology, and achieving the sensing, transmission, analysis and calculation of metering detection fault data of the electric energy meter and monitoring of upper-layer data, so that an electric energy management user can remotely monitor metering fault information of the electric energy meter in an online and real-time mode. According to the invention, the intelligent level is greatly improved, the data processing capacity is greatly enhanced, a large amount of multi-dimensional data can be processed within 10s, and a usercan rapidly obtain electric energy meter detection information from intricate multi-latitude data information.

Description

technical field [0001] The invention relates to the technical field of electric energy metering, and more particularly relates to an improved AdaBoost algorithm-based electric energy meter measurement data fault analysis method. Background technique [0002] With the improvement of people's living standards and the continuous development of industry, people's dependence on electric energy is becoming more and more prominent, and electric power resources are becoming more and more important. Because of this, the work of enterprise operation and maintenance managers has become more and more complicated, and there are more and more measurement failures of smart energy meters. The smart energy meter is the basic device for electric energy measurement. The power supply enterprise's copying and verification work is based on the measurement data on the energy meter. If the measurement data is inaccurate, it will affect the overall efficiency of the power supply enterprise. Therefo...

Claims

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Application Information

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IPC IPC(8): G01R35/04G06K9/62
CPCG01R35/04G06F18/214G06F18/241
Inventor 曹献炜李建炜常兴智王娜王再望党政军杨杰屈子旭李全堂刘贵平林福平
Owner 宁夏隆基宁光仪表股份有限公司
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