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

Prediction method of small-scale structures in front of tunneled mine coal-shift based on ANN

A technology for structure and coal roadway, which is applied in the field of prediction and forecast of small structures in front of coal roadway excavation, can solve problems such as limited accuracy, inability to solve small structure prediction and prediction, and failure to solve the problem of small structure prediction and prediction, and achieves the effect of low cost.

Inactive Publication Date: 2010-10-13
CHINA UNIV OF MINING & TECH (BEIJING)
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although these traditional methods have played a positive role in solving the problem of mine geological structure prediction, they are difficult to solve due to the high cost of detection and the interpretation of multiple solutions, or the limited accuracy, or the predicted structure is too macroscopic to solve the problem of small structures. Forecasting and forecasting, etc., so the traditional method fails to predict the small structure of the mine, especially fails to solve the problem of small structure prediction in the small space scale in front of the roadway or the mining face during the mine excavation process

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
  • Prediction method of small-scale structures in front of tunneled mine coal-shift based on ANN
  • Prediction method of small-scale structures in front of tunneled mine coal-shift based on ANN
  • Prediction method of small-scale structures in front of tunneled mine coal-shift based on ANN

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The present invention will be described in detail below with reference to the accompanying drawings.

[0019] The present invention is based on the ANN method for predicting and forecasting small structures ahead of coal roadway excavation, and the specific implementation technical scheme includes the following steps:

[0020] 1. Analyze and determine the influencing factors closely related to the distribution and development of small coal seam structures in the study area

[0021] The analysis of factors closely related to the distribution and development of small structures in the study area includes the analysis of coal seam information related to small structures in the study area and the logical reasoning of the "encircling principle" in the prediction of small structures.

[0022] The analysis of factors closely related to the distribution and development of small structures in the study area includes:

[0023] (1) Changes in the occurrence of fractures in the co...

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 prediction method comprising the following steps: based on the analysis and the understanding of geological conditions, the growth characteristics and the law of the fracture structure and the like in a researched area, firstly analyzing and determining influencing factors closely related to the researched area as well as the distribution and the growth of a coal-bed small-scale structure; establishing an ANN forecasting and prediction model based on the looping principle; and finally developing a mine small-scale structure forecasting and prediction information system. The invention provides a set of complete theory system and working methods for the forecasting and the prediction of mine small-scale structures; the method introduces the looping theory and the ANN coupling technique into the forecasting and the prediction of the small-scale structures in front of the tunneled mine coal-shift for the first time; the artificial neural network used for the quantitative evaluation and prediction provides a comprehensive evaluation model which is close to the human thinking model and combines the qualitative evaluation and the quantitative evaluation, and therefore, the method has enough precision; and by utilizing the information of the abundant and cheap coal bed which is exposed in the coal-shift tunneling process and closely related to the distribution and the growth of the small-scale structures, the method needs low cost and well reflects the characteristics and the information of the distribution and the growth of the small-scale structures.

Description

Technical field [0001] The invention relates to a method for predicting and predicting geological structures in the process of coal mine construction and production, in particular to a method for predicting and predicting small structures ahead of coal roadway excavation, which are generally difficult to detect and have characteristics of concealment of development laws and limited development scale. Background technique [0002] Small structures refer to small faults with a fault throw less than 5m or some small-scale fissures and dissolution fissures. In the process of mine construction or production, these small structures have a great impact and safety threat on roadway excavation and working face mining. They not only affect the mineability of the coal seam, increase the amount of roadway excavation, but also damage the roof and floor of the coal seam. Integrity and stability, forming a relatively concealed gushing (bursting) water channel. In light of these passages, ...

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 Patents(China)
IPC IPC(8): G01V9/00G06N3/02G06N3/08
Inventor 武强
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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