Mine water inrush source identification method and identification system based on big data and deep learning

A technology of deep learning and mine water inrush, which is applied in the field of mine water inrush source identification method and its identification system, which can solve the problems of data redundancy operation, difficulty in identifying water inrush source, limited computing unit and learning ability, etc.

Pending Publication Date: 2020-08-21
ANHUI UNIVERSITY +1
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Problems solved by technology

[0004] Most of the traditional water source identification methods mentioned above are difficult to identify water inrush sources due to data redundancy and complex operations in the case of large data.
The early neural network and deep learning network have a similar hierarchical structure. The difference between the two is that the early neural network generally has a two- to three-layer network, and the computing unit and learning ability are limited, which makes the judgment of the water inrush source inaccurate.

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  • Mine water inrush source identification method and identification system based on big data and deep learning
  • Mine water inrush source identification method and identification system based on big data and deep learning
  • Mine water inrush source identification method and identification system based on big data and deep learning

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Embodiment Construction

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them.

[0030] refer to Figure 1-6 , a mine water inrush source identification system based on big data and deep learning, including ground workstations, acquisition devices, and computer detection modules;

[0031] Ground workstations are used to classify water sources in known areas and build sample banks;

[0032] The collection device includes a liquid pump and a container, and the liquid pump is used to extract and store the inrush water source in the container;

[0033] The computer detection module includes an electrode detector array module, a data input module, a data comparison module and a central processing unit;

[0034] The data input module tran...

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Abstract

The invention discloses a mine water inrush source identification system based on big data and deep learning. The mine water inrush source identification system comprises a ground workstation, an acquisition device and a computer detection module. The mine water inrush source identification method based on big data and deep learning comprises the following steps of: S1, performing classification according to known chemical component characteristics of a regional water source, and establishing a sample library; S2, when water inrush occurs in the mine, pumping the inrush water into a containerthrough a liquid pump for storage; S3, detecting and analyzing each chemical component in the inrush water through an electrode detector array module, and determining the content of each chemical component; and S4, inputting the chemical components into a data processing module for processing. According to the invention, the internal multi-layer characteristics of a water sample are autonomously obtained through a deep feedforward network model based on deep learning, repeated training, error prediction and model parameter adjustment are carried out, the accuracy is improved along with increase of water sample information, and water inrush source identification is still accurate under the condition of big data.

Description

technical field [0001] The invention relates to the technical field of water inrush source identification, in particular to a mine water inrush source identification method and an identification system based on big data and deep learning. Background technique [0002] Coal is the main energy source in our country, and the safe mining of coal resources is related to the economic development of the country. The frequent occurrence of water inrush has caused huge casualties and economic losses. Therefore, quickly and accurately identifying the source of water inrush is the key to water inrush control, and it also provides a theoretical basis and correct guidance for the follow-up water prevention and control work. [0003] The methods for identification of mine water inrush sources mainly include hydrochemical analysis method, Fisher discriminant analysis theory, gray relational degree theory, fuzzy variable set method and so on. These include identifying the water source of t...

Claims

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Application Information

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IPC IPC(8): G01N27/00G06N3/04G06N3/08
CPCG01N27/00G06N3/08G06N3/045
Inventor 朱赛君姜春露谢毫郑刘根毕波安士凯陈永春胡洪
Owner ANHUI UNIVERSITY
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