| Under the state of local gas emission abnormal state, monitoring systems are deployed to identify their risk and determine the extent of the adjacent zone and the risk of the spread of dangerous conditions, timely warning and urgent response mechanism are investigated in this paper. The system can monitor with grading zoning and sub-station and do power-off protection control layer by layer, these techniques and methods will help to prevent the risk spread to dangerous zone and adjacent zone , thus controlling the disaster and avoiding expansion.In this paper, in accordance with the layout of coal production areas and airflow conditions, gas disaster risk zones and risk level are classified . fuzzy mathematics theory and model recognition technology are used. according to the change rate targets of gas concentration , the risk identification and prediction model are established , Fisher identification method are used to determine the risk threshold, the degree of risk in different regions can be forecasted dynamically.CAN field bus are used as a means of communication, time-sharing central dynamic monitoring system for dangerous conditions in areas adjacent to the region are established, giving full play to the CAN bus with priority non-destructive arbitration mechanism and main-auxiliary and multi - the combination are used as the main type of communication model, when gas emission occurred the degree of risk will be identified through the mathematical model, the dangerous escalation situation will be identified dynamically from a central station and sub-station grading zoning in adjacent region ,thus timely taking appropriate control measures and response mechanisms for disaster control and avoiding the accident spread, reducing the losses caused by disasters.In this paper, time-sharing central dynamic monitoring aimed at abnormal gas hazardous area and the adjacent region are proposed for the first time, monitoring sub-station grading zoning controlling technology are studied as well. |
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