基于关联性模型的煤矿安全监控系统报警方法

Alarm Method of Safety Monitoring System of Coal Mine Based on Relevance Model

针对煤矿安全监控系统可靠性不高、监测数据未得到充分利用等问题,提出了可通过提高关键设备的无故障工作时间来提高系统可靠性、通过数据处理或冗余方法来提高数据可信性的观点;提出了基于关联性模型的煤矿安全监控系统报警方法,其主要思路是将原来独立判别的测点数据通过一种关联性模型与其它测点数据或工艺环境联系起来,当系统发现关联性模型不成立时报警,该报警方法是对现行报警方法的补充,可以发现传感器不按规定使用和传感器失效等情况,但在实际应用中应考虑模型的易用性和适用性;以煤矿工作面瓦斯监测为例,基于对工作面瓦斯涌出规律的分析,对瓦斯传感器数据分别建立了基于相关性、基于极差值、基于最小值的关联性模型,并通过实际的瓦斯监测数据对该三种模型进行了验证,结果表明该三种模型对不同煤矿和不同工作面均有较好的适用性。

For problems of low reliable performance and inadequate utilization of monitored data of safety monitoring system of coal mine, a viewpoint was proposed that system reliability could be improved by prolonging mean time between failures of important equipments and credibility of monitored data could be improved by method of data processing or redundancy. A new alarm method of safety monitoring system of coal mine based on relevance model was proposed for improving credibility of monitored data, whose basic idea is connecting data of a measuring point with data of others or process environment by a related model, and the system would alarm when the model is not tenable. The alarm method could be a complement of existing alarm methods and find irregular usage and invalidity of sensors, while usability and suitability of the relevance models in application must be considered. Relevance models of data of gas sensors were established separately based on correlation coefficient, difference between the maximum and the minimum, and the minimum according to analysis of law of gas outburst by example of gas monitoring of working face of coal mine, and the models were verified by use of practical monitored gas data with a conclusion that all the models are suitable for different coal mines and working faces.