System and method for realizing electric energy meter abnormity diagnosis by applying quantum particle swarm algorithm

A quantum particle swarm, abnormal diagnosis technology, applied in the measurement of electrical variables, neural learning methods, calculations, etc., can solve the problem of low efficiency of retrieval technology, difficulty in finding the best target information from various data information, and error-prone problems.

Inactive Publication Date: 2020-09-29
宁夏隆基宁光仪表股份有限公司
View PDF12 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In conventional technology, when a variety of detection data is output, it is difficult for users to find the best target information from a variety of data information, and it is difficult to find the best data information

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • System and method for realizing electric energy meter abnormity diagnosis by applying quantum particle swarm algorithm
  • System and method for realizing electric energy meter abnormity diagnosis by applying quantum particle swarm algorithm
  • System and method for realizing electric energy meter abnormity diagnosis by applying quantum particle swarm algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] Example 1 system

[0067] Such as figure 1 with figure 2 As shown, a system that applies quantum particle swarm algorithm to realize abnormal diagnosis of electric energy meter, wherein the system includes:

[0068] The detection layer is equipped with a verification device for obtaining electric energy information and a sensor for sensing various data information of the electric energy meter. The sensor senses and transmits various data information of the electric energy meter; wherein the sensor includes at least a photoelectric sensor, an infrared sensor , speed sensor, acceleration sensor, GIS sensor, vibration sensor, ripple sensor, temperature and humidity sensor, angle sensor, magnetic field sensor, speed sensor, RFID tag, GPS device, ray radiation sensor, thermal sensor or energy consumption sensor, the The verification device is a portable electric energy meter verification device or a large-scale verification assembly line equipment;

[0069] The communica...

Embodiment 2

[0073] Example 2 method

[0074] Such as image 3 with Figure 4 As shown, a method for applying quantum particle swarm algorithm to realize abnormal diagnosis of electric energy meter, wherein said method includes the following steps:

[0075] (1) Data collection: Obtain the abnormal data information measured by the electric energy meter through the detection layer, wherein the abnormal data information includes electric energy meter parameter information or electric energy meter measurement information, and the electric energy meter parameter information includes electric energy meter output current, voltage, power , power factor, ripple or phase sequence, the energy meter measurement information includes the output voltage, current, harmonic, vibration, magnetic field, electromagnetic interference, temperature, humidity, and voltage imbalance of the energy meter under normal or abnormal conditions , current unbalance, flicker, power, power factor, grid clutter interferenc...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a system and a method for realizing electric energy meter abnormity diagnosis by applying a quantum particle swarm algorithm, and relates to the technical field of electric energy metering. An architecture system of the Internet of Things is constructed, remote monitoring of abnormal data of an electric energy meter is realized, change and extension of data information of the electric energy meter are realized by using a wavelet change method, noise interference can be suppressed by using wavelet transform, the feature extraction precision is improved, the accuracy is high, and the performance is more stable. An improved quantum particle swarm algorithm is used, particle swarms can be effectively screened; the convergence speed of the particle swarm is accelerated;according to the method, a BP neural network algorithm model is utilized to prevent simultaneous falling into local extremum, a good effect is shown in the aspects of convergence rate and global optimum searching, rapid diagnosis of abnormal data can be realized by utilizing the BP neural network algorithm model, a large amount of electric energy meter data information is rapidly calculated withina few seconds, and data analysis and judgment are realized.

Description

technical field [0001] The invention relates to the technical field of electric energy measurement and detection, and more particularly relates to a system and method for realizing abnormal diagnosis of electric energy meters by applying quantum particle swarm algorithm. Background technique [0002] The energy meter is an important measuring instrument for power supply enterprises and electricity customers to settle electricity consumption. The accuracy of energy meter measurement is directly related to the economic benefits of power supply enterprises and electricity customers. When the electric energy meter is verified, the electric energy meter verification device or the electric energy meter verification assembly line is usually used. The electric energy meter verification line adopts a fully automatic assembly line verification method to realize automatic meter fetching, automatic transmission, and automatic printing from the outlet of the electric energy meter library....

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01R35/04G06N3/00G06N3/04G06N3/08
CPCG01R35/04G06N3/006G06N3/084G06N3/044G06N3/045
Inventor 曹献炜李建炜王娜谭忠林福平王再望党政军杨杰屈子旭李全堂刘贵平
Owner 宁夏隆基宁光仪表股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap