Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Data analysis method facing power accident, mal-operation accident and unprofessional operation accident

A technology for operational accidents and data analysis, applied in data processing applications, instruments, character and pattern recognition, etc., can solve problems such as limited types and value ranges of factors, difficult operations, and inability to analyze professional quality, etc., to achieve or avoid duplication of power Accidents, reduce the effect of repeated power accidents

Inactive Publication Date: 2018-06-01
ZHONGSHAN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantages are: first, it is impossible to analyze the influence of human factors such as professional quality and work experience for specific power accidents and violations; second, it is time-consuming and labor-intensive to create an effective question bank and continuously update and maintain it, which is difficult to operate
The disadvantages are: first, it only analyzes the failure probability of electrical equipment, and cannot analyze other electrical accidents and violations; second, the types and value ranges of factors are limited, and there is no separate treatment for human factors
This patent is aimed at the clustering and classification analysis of electric power marketing data sets. The disadvantages are: 1. It cannot handle a large amount of non-linearly separable data in power accidents and violation data; 2. It does not fully analyze human factors. deal with

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
  • Data analysis method facing power accident, mal-operation accident and unprofessional operation accident
  • Data analysis method facing power accident, mal-operation accident and unprofessional operation accident
  • Data analysis method facing power accident, mal-operation accident and unprofessional operation accident

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] like figure 1 Shown, the method provided by the invention comprises the following steps:

[0032] 1) Data Collection

[0033]Collect historical data of various power accidents and illegal operations in the past three or five years. Large enterprises can appropriately extend the collection time to enrich the data. The collected objects include but are not limited to: more than 30 deaths, 10 to 30 deaths, 3 to 10 deaths, 3 deaths and 100 or more serious injuries, 50 to 100 serious injuries, 10 More than 50 people are seriously injured, and less than 10 people are seriously injured, such as particularly serious, serious, relatively large, and general electric power personal accidents; Particularly serious, serious, relatively large, and general misuse accidents with direct economic losses of more than 10,000 yuan and less than 10 million yuan. The collected content includes data on personal accidents, misuse and violations. Such as the number of injured, the number of ...

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 provides a method that uses a fuzzy sets-based mathematic method to calculate the fuzzy probability of generating accidents, thus assisting to analyze influences by various uncertain artificial factors on the rules and features of power accidents, mal-operation accidents and unprofessional operation accidents, and fully utilizing data; in addition, considering mass linear non-fractional data exist in the power accident, mal-operation accident and unprofessional operation accident data, a kernel k-Means Clustering method is employed to firstly map original space sample data to a high dimension space, i.e., the kernel space, thus enabling the sample data to be linear fractional (or nearly linear fractional), and classifying data in the kernel space. The classification results can help users to determine high risk behaviors that cause power accidents, mal-operation accidents and unprofessional operation accidents, thus deriving weak links of the accidents, making targeted prevention measures and control strategies, and reducing generation probabilities or preventing repeated formations of power accidents, mal-operation accidents and unprofessional operation accidents.

Description

technical field [0001] The invention relates to the field of electric power safety management and control, and more specifically, relates to a data analysis method for electric power accidents, misoperation accidents and illegal operation accidents. Background technique [0002] In recent years, as the scale of the power grid has become larger and its structure has become more and more complex, the society has higher and higher requirements for the stability and quality of power supply, and the tolerance for power outages has become lower and lower. Operations present serious challenges. With the continuous improvement of the reliability of power equipment, human unsafe behavior or human error has become the main risk source of power safety accidents. How to further strengthen operator information data management and operation safety management and control, improve the safety management and control level of electric power operations, and minimize the occurrence or repeated ...

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): G06Q10/06G06Q50/06G06K9/62
CPCG06Q10/0635G06Q10/0637G06Q50/06G06F18/23213
Inventor 余永奎汪海涛段春雨黄振财刘文韬梁志祥
Owner ZHONGSHAN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com