Intelligent monitoring and early warning system and early warning method for dust disasters of coal mining face

An intelligent monitoring and early warning system technology, applied in transmission systems, comprehensive factory control, closed-circuit television systems, etc., can solve the problems of less dust disaster monitoring information, low real-time visualization of data, and lag in supervision, etc. Remote real-time flattening supervision and improving the effect of mine intelligence

CN114885130APending Publication Date: 2022-08-09CHINA UNIV OF MINING & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2022-08-09

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Abstract

The invention discloses an intelligent monitoring and early warning system and early warning method for dust disasters of a coal mining face. The system comprises a data acquisition terminal, a data transmission channel, a dust basic information database, an intelligent dust monitoring and early warning upper computer and a cloud server. According to the invention, the underground data acquisition terminal and the wireless communication technology are utilized to realize the real-time monitoring of the dust safety state information of the mining face of the coal mine and the intelligent control of the dust falling system of the mining face, and meanwhile, the system has the early warning function of regional dust risk, individual dust receiving amount of staff and single-point dust concentration overrun; and through data cloud sharing, higher-level multi-level flattening supervision on coal mine dust disasters is realized, and the problems of less dust disaster monitoring information, lower data real-time visualization degree, single dust safety early warning function, weak intelligent regulation and control capability of a dust falling system and supervision lagging of an existing coal mine dust monitoring system are solved. And the coal mine dust disaster prevention and control level and the mine intelligent construction level are effectively improved.
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Description

technical field

[0001] The invention relates to the technical field of coal mine dust disaster monitoring and early warning, in particular to an intelligent monitoring and early warning system and early warning method for coal mine dust disasters. Background technique

[0002] Dust is one of the main disasters faced by coal mining, which seriously threatens the physical and mental health of underground workers and the safe production of enterprises. Coal mining face and excavation face are the working places with the largest dust production. Therefore, coal mine dust disaster prevention and control is an important part of mine safety construction, which directly affects coal mine safety production and labor hygiene conditions, and plays a key role in ensuring the physical and mental health of employees. Intelligent dust monitoring is an important part of intelligent mining in coal mines. It has important application value for understanding the dust hazards of coal mining wo...

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Embodiment Construction

[0045] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0046] like figure 1 As shown in the figure, the present invention provides an intelligent monitoring and early warning system for dust disasters in coal mining face, including: data acquisition terminal, underground wireless communication base station, coal mine ring network and ground local area network, dust basic information database, dust intelligent monitoring and early warning host computer, cloud server.

[0047] like figure 2 As shown, the data collection terminal includes: a personnel state information collection unit, an equipment state information collection unit and an environment state information collection unit, and obtains corresponding dust safety monitoring information through a coal mine underground wireless sensor and transmits it to an underground wireless communication base station. The personnel status informa...