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

Gas emission prediction method based on coal mine ventilation dynamic calculation

A technology of gas gushing and forecasting methods, applied in forecasting, neural learning methods, calculations, etc., can solve problems such as message lag and early warning ability discounts

Active Publication Date: 2020-02-04
DALIAN UNIV OF TECH
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, although gas detection and alarm systems are installed in most coal mines in my country, the early warning capabilities are greatly reduced, and more is to alarm the detection results of the detectors at a certain moment, which has a certain message lag

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
  • Gas emission prediction method based on coal mine ventilation dynamic calculation
  • Gas emission prediction method based on coal mine ventilation dynamic calculation
  • Gas emission prediction method based on coal mine ventilation dynamic calculation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and understandable, the specific implementation modes of the present invention will be described in detail below in conjunction with the accompanying drawings, so as to make the above-mentioned and other purposes, features and advantages of the present invention clearer. Like reference numerals designate like parts throughout the drawings. The drawings have not been drawn to scale, emphasis instead being placed upon illustrating the gist of the invention.

[0067] The invention is a gas gushing prediction method based on coal mine ventilation dynamic calculation, combining figure 1 , the present invention can be divided into the following steps:

[0068] Step 1. Connect to the mine Internet of Things to obtain various data information in the mine;

[0069] The mine Internet of Things digitally models the mining engineering, geological strata, gas geology, etc. ...

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 gas emission prediction method based on coal mine ventilation dynamic calculation, and belongs to the technical field of coal mine safety monitoring. The method is accessed to the mine Internet of Things, data acquired by key node detection equipment arranged underground is substituted into an established ventilation network for calculation, and the underground gas emission amount is calculated according to solved air volume distribution data and collected gas sensor values; dynamic calculation optimization is carried out according to the ventilation calculation result and the real-time data of the measuring points, and the gas and ventilation conditions of each part of the whole mine are obtained; a machine learning method is used for processing the gas emissionamount and the gas geology and monitoring data in the mine Internet of Things, correlation between the gas emission amount and other data is found out, and a gas emission prediction model is obtained.The gas emission amount prediction method obtained through the method is accurate and effective in prediction of the gas emission amount, meanwhile, the prediction result has timeliness, and good guidance is provided for underground coal mine construction.

Description

technical field [0001] The invention belongs to the technical field of coal mine safety monitoring, and in particular relates to a gas gushing prediction method based on coal mine ventilation dynamic calculation. Background technique [0002] Gas disaster has always been one of the important factors threatening the safe production of coal mining in our country. The potential impact of gas becomes more significant as the depth of coal seam mining increases. The amount of gas emission is an important basis for mine gas prevention and ventilation design, and accurate prediction can effectively prevent the occurrence of various gas disasters. Therefore, improving the prediction method and technology of gas emission and improving the accuracy of gas emission prediction have positive and practical significance for improving coal safety production. [0003] With the country's increasing emphasis on coal mine safety production, the fine scientific management of coal mines has been...

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): G06F30/27G06N3/08G06N3/12G06Q10/04G06Q50/02G06F111/06
CPCG06N3/08G06N3/126G06Q10/04G06Q50/02
Inventor 孙焘常一鸣
Owner DALIAN UNIV OF TECH
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