摘要
提出了目前监控系统中经常遇到的3种伪数据类型,对由于电磁干扰所造成的系统"冒大数"现象进行了分析,提出了针对这种电磁干扰所造成的伪数据的识别方法和模型。同时给出了一种结合瓦斯传感器浓度序列和相应采煤机开停传感器状态共同确立模型报警上限值的方法,对已经识别到的瓦斯浓度伪数据,提出了采用改进的移动平均线方法来补偿瓦斯浓度数据序列,并进行了验证。
The article presented three false data types of the current monitoring system, and analyzed ＂high value ＂ phenomenon of system data caused by electromagnetic interference, and proposed identify method and model for false data caused by electromagnetic interference. It introduced a method of establishing model＇s upper limit alarm value by combined concentration sequence of the gas sensor with the corresponding state of shearer on - off sensors. For identified gas concentration false data, it presented that using improved moving average method to compensate concentration sequence of the gas sensors, and verified the results.
出处
《煤矿安全》
CAS
北大核心
2014年第10期144-146,150,共4页
Safety in Coal Mines
基金
中煤科工集团常州自动化研究院院研发资助项目(13GY004-1)
关键词
监控系统
电磁干扰
瓦斯浓度序列
巡检时间
报警上限
monitoring system
electromagnetic interference
gas concentration sequence
inspection time
alarm limit
