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公开(公告)号:US11043101B2
公开(公告)日:2021-06-22
申请号:US16820751
申请日:2020-03-17
Inventor: Xueqiu He , Dazhao Song , Shengquan He , Zhenlei Li , Yarong Xue , Anhu Wang , Hongwei Mu
Abstract: A multi-system, multi-parameter, integrated, comprehensive early warning method for a coal and rock dynamic disaster includes: obtaining monitoring data of a plurality of monitoring systems for the coal rock dynamic disaster, and extracting multivariate characteristic parameters capable of reflecting precursor information of the coal and rock dynamic disaster in each monitoring system based on the monitoring data; screening out a combination of characteristic parameters with a highest early warning effectiveness in each monitoring system and an optimal critical value of each characteristic parameter based on the multivariate characteristic parameters; calculating a comprehensive early warning index and an early warning effectiveness of each monitoring system; and calculating a multi-system comprehensive early warning result of the coal and rock dynamic disaster based on the comprehensive early warning index and the early warning effectiveness of each monitoring system.
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公开(公告)号:US10884154B2
公开(公告)日:2021-01-05
申请号:US16343407
申请日:2018-03-30
Inventor: Zhenlei Li , Xueqiu He , Dazhao Song , Shengquan He , Donghui Li
Abstract: A monitoring and forewarning method for coal-rock dynamic disasters based on an electromagnetic radiation and an earth-sound monitoring includes the following steps: (1) calculating the weighted average value of research parameter P(t) during a time period according to the monitoring data collected by the electromagnetic radiation and the earth-sound monitoring system in real time; (2) calculating D(t), the deviation value of P(t); (3) calculating |D(t)| as the deviation threshold value, the average value of |D(t)| during period of normal mining of the working surface; (4) calculating DS, the number of times that D(t) is greater than |D(t)| in one day; (5) normalizing DS to obtain the monitoring and forewarning index ε; (6) forewarning the hazard state of dynamic disaster of the working surface in real time according to ε and forewarning method, determining hazard level.
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公开(公告)号:US11567230B1
公开(公告)日:2023-01-31
申请号:US17679137
申请日:2022-02-24
Applicant: University of Science and Technology Beijing
Inventor: Dazhao Song , Xueqiu He , Menghan Wei
Abstract: A direction-finding and positioning system of electromagnetic emission of coal or rock fracture includes a three-axis electromagnetic sensor array, a signal acquisition module and a direction-finding and positioning terminal; the three-axis electromagnetic sensor array is composed of at least four three-axis electromagnetic sensors configured to synchronously sense magnetic field strength in three-axis direction based on a tunnel magneto resistance technology, and obtain a real magnetic field vector in space by measuring; the signal acquisition module is configured to acquire magnetic field vector variable information of multiple measuring points in real-time, and after extracting magnetic field vector variable parameters, transmitting the magnetic field vector variable parameters to the direction-finding and positioning terminal; the direction-finding and positioning terminal is configured to perform direction-finding and positioning calculations according to the magnetic field vector variable parameters received, and performing a three-dimensional dynamic visual display to positioning results, positioning time, and positioning coordinates.
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公开(公告)号:US20210134135A1
公开(公告)日:2021-05-06
申请号:US16820751
申请日:2020-03-17
Inventor: Xueqiu He , Dazhao Song , Shengquan He , Zhenlei Li , Yarong Xue , Anhu Wang , Hongwei Mu
Abstract: A multi-system, multi-parameter, integrated, comprehensive early warning method for a coal and rock dynamic disaster includes: obtaining monitoring data of a plurality of monitoring systems for the coal rock dynamic disaster, and extracting multivariate characteristic parameters capable of reflecting precursor information of the coal and rock dynamic disaster in each monitoring system based on the monitoring data; screening out a combination of characteristic parameters with a highest early warning effectiveness in each monitoring system and an optimal critical value of each characteristic parameter based on the multivariate characteristic parameters; calculating a comprehensive early warning index and an early warning effectiveness of each monitoring system; and calculating a multi-system comprehensive early warning result of the coal and rock dynamic disaster based on the comprehensive early warning index and the early warning effectiveness of each monitoring system.
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