Coal mine excavation equipment data analysis and early warning method

A data analysis and equipment technology, applied in the field of data analysis, can solve the problems of simple and scattered data display, lack of data information feedback, lack of versatility and continuity, etc., and achieve the effect of reducing the number of people on the working face and improving the intelligent level of equipment

Pending Publication Date: 2021-06-18
TAIYUAN INST OF CHINA COAL TECH & ENG GROUP +1
View PDF10 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the different mining techniques and application scenarios, as well as the different design requirements and usage methods of various types of equipment, the current operating status of mining equipment lacks data information feedback; or the data display is simply scattered and varies according to equipment, lacking versatility and continuity; Or the equipment data cannot be transmitted back to the production design manufacturer remotely, and the operators and production design personnel cannot grasp the real-time operation status of the equipment, and cannot predict possible hidden dangers and problems of the equipment

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
  • Coal mine excavation equipment data analysis and early warning method
  • Coal mine excavation equipment data analysis and early warning method
  • Coal mine excavation equipment data analysis and early warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0022] refer to figure 1 , the present invention provides a coal mine mining equipment data analysis early warning method, comprising:

[0023] Through the sensors installed in the coal mining equipment, the sensor data within a specified time interval is extracted for data collection, and the eigenvalues ​​of the data corresponding to different equipment are extracted, and the obtained eigenvalue E is expressed as E=[M α β γ a 1 a 2 ...]; where, M is the type of equipment, including continuous coal miner, roadheader, bolter, and rapid tunneling equipment;

[0024] Input the eigenvalues ​​corresponding to different equipment types into the fuzzy C-means clustering model, and in the membership function Under the cons...

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 relates to a coal mine excavation equipment data analysis and early warning method. Aiming at the problems that the current coal mine excavation equipment is single in operation state data and cannot be effectively integrated according to the equipment type, a data system with universality and expandability is established through a wired transmission mode in the equipment and a wireless transmission mode between the equipment, selection and configuration can be carried out according to the current equipment type, meanwhile, the operation state of the equipment is displayed in various modes such as data and three-dimensional animation, operators and production designers can master equipment information in real time, the number of workers on a working face is effectively reduced, and the intelligent level of the equipment is improved.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a data analysis and early warning method for coal mining equipment. Background technique [0002] There are many coal mining equipment, which can be divided into side continuous coal miners used in open pit mines, and roadheaders, bolter diggers, and rapid tunneling equipment used in underground mines. Due to the different mining techniques and application scenarios, as well as the different design requirements and usage methods of various types of equipment, the current operating status of mining equipment lacks data information feedback; or the data display is simply scattered and varies according to equipment, lacking versatility and continuity; Or the equipment data cannot be transmitted back to the production design manufacturer remotely, and the operators and production design personnel cannot grasp the real-time operation status of the equipment, and cannot predict p...

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
Patent Type & Authority Applications(China)
IPC IPC(8): E21C35/24E21F13/00E21F17/18
CPCE21C35/24E21F13/00E21F17/18
Inventor 张婷陈宁索艳春布朋生董孟阳李涛郭皇煌田原贾曲常映辉冀鹏飞杜会峰李瑞媛邢晨刘继全马育华
Owner TAIYUAN INST OF CHINA COAL TECH & ENG GROUP
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