A Reliability Analysis Method for Improving the Monitoring of Major Hazard Sources in Coal Mine with Internet of Things

Abstract

The invention relates to a reliability analysis method for improving monitoring of the internet of things on a coal mine major hazard. The method includes the following steps: (1) building a three-dimensional monitoring topological structure, and finishing deployment of an actual monitoring area by means of one or more three-dimensional monitoring topological structures; (2) carrying out computation and analysis of full coverage of the actual monitoring area, determining a mode deployment mode, and enabling a sensor node right to be on a limit point of a sensing range of another sensor node; (3) carrying out quantitative analysis on relative parameters of the topological structure by the node deployment mode determined in the step (2), wherein the relative parameters include the monitoring distance and the monitoring area; (4) carrying out quantitative computation of the area of a coverage blind area caused after nodes of different types fail; (5) deploying routings from common nodes to cluster nodes deployed in the actual monitoring area to be static routings, and deploying routings between different cluster nodes to be dynamic routings; (6) carrying out optimized analysis of reliability of the routings of the topological structure in the monitoring area. The reliability analysis method can be widely used in monitoring of the coal mine major hazard.

Description

technical field [0001] The invention relates to the field of monitoring of the Internet of Things, in particular to a reliability analysis method for improving the monitoring of major hazard sources of the Internet of Things in coal mines. Background technique [0002] The coal industry is an important basic industry related to the lifeline of the national economy. The safety of coal mine production involves the national economy and the people's livelihood. The monitoring of major hazards is to prevent major hazards such as gas, mine pressure and roof, coal dust, water, and fire. One of the main measures. In recent years, the research on the Internet of Things has been increasing. The Internet of Things monitoring technology can meet the real-time transmission of information, the remoteness of monitoring, the safety of personnel, the diversity of monitoring and the flexibility of network deployment in the monitoring of major hazards in coal mines. need. The wireless radio ...

AI Technical Summary

Problems solved by technology

[0004] Although the new technology based on the Internet of Things is very suitable for the real-time monitoring needs of major hazards in coal mines, there are still many key issues in the actual application of monitoring that need to be further explored and improved, especially the research on the reliability of information. There is no basis for information reliability. The guarantee of conditions, the monitoring of information is a castle in the air

The main reason why we should focus on the reliability of Internet of Things monitoring is because: ① Underground coal mines are affected by faults, folds, magma intrusion, and coal seam thickness changes, which lead to complex data acquisition conditions in coal mines; ② The energy of Internet of Things nodes is limited, and underground wireless sensor networks often There will be node failures, resulting in insufficient coverage in the roadway; ③ Existing mining sensors have defects of poor accuracy and low reliability to varying degrees

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