Mine water inflow prediction method and system based on coal mine big data

A prediction method and water inflow technology, applied in data processing applications, electrical digital data processing, instruments, etc., can solve problems such as difficult accurate calculation of water inflow, data value sparsity, multi-source heterogeneity, etc., and achieve good application Promising, improving precision, and ensuring production safety

Pending Publication Date: 2021-12-03
ZIBO MINING GRP +1
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In recent years, many scholars have conducted a lot of research on coal mine water hazards, but according to the inventor's understanding, the current research is based on the data that has been processed. In the process of applying to actual projects, it is necessary to solve the value sparsity of data , uncertainty, and multi-source heterogeneity
Due to the complexity of coal mine hydrogeological conditions, it is difficult to effectively and accurately calculate the water inflow

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
  • Mine water inflow prediction method and system based on coal mine big data
  • Mine water inflow prediction method and system based on coal mine big data
  • Mine water inflow prediction method and system based on coal mine big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0049] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0050]It should be noted that the terminology used here is only for describing specific embodiments, and is not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0051] A m...

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 mine water inflow prediction method and system based on coal mine big data, and the method comprises the steps of obtaining coal mine geographic position natural conditions and mining area information, and obtaining coal hydrogeological detection data; determining a main control factor of the mine water inflow according to the acquired information; building a mapping relation between the mine water inflow and the determined main control factors, building a water inflow prediction model, using a TRUST-TECH method to find a plurality of local optimal solutions so as to determine a global optimal solution, and obtaining a working face water inflow prediction result. According to the invention, the main control factors of mine water gushing are extracted, the TRUST-TECH technology is used for establishing the water gushing prediction model, the water gushing damage degree of the working face is predicted, the prediction process is simple, and the prediction result is accurate.

Description

technical field [0001] The invention belongs to the technical field of water inflow prediction, and in particular relates to a method and system for predicting mine water inflow based on coal mine big data. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] For a long time, mine water gushing has been a problem to be solved in coal mine safety production. In the actual production process of coal mines, accurate prediction of mine water inflow can effectively prevent the occurrence of mine water inrush, well flooding and other vicious accidents, which is of great significance for ensuring safe production. The actual significance of mine water inflow is reflected in the following aspects: 1) It is related to the production safety and production cost of coal mines, and it is one of the basis for the economic and technical evaluation of mine dep...

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): G06F30/27G06Q50/02G06F119/02
CPCG06F30/27G06Q50/02G06F2119/02
Inventor 曹忠史新国翟勃王卫龙张永峰程新功张梦华黄伟杰
Owner ZIBO MINING GRP
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