煤矿远程状态监测系统延迟补偿预警算法研究

针对煤矿物联网状态监测系统存在网络延迟、煤矿设备状态数据缺少真实性和时效性导致预警不及时的问题,运用多项式拟合和牛顿插值算法建立了延迟补偿预警算法,同时设计了基于物联网的煤矿井下状态监测系统结构,开发了嵌入式设备端和Web端人机交互界面。实验结果表明,经算法处理后Web端得到的温湿度拟合曲线更接近于实际的温湿度曲线,手机APP端平均预警时间提前0.8 s。

Research on Delay Compensation Early Warning Algorithm of Coal Mine Remote Condition Monitoring System

Aiming at the problems of network delay in the coal mine internet of things condition monitoring system,being lack of authenticity and timeliness of equipment status data,and untimely warning,a delay compensation early warning algorithm was established using polynomial fitting and Newton interpolation algorithm.At the same time,the design of the underground mine condition monitoring system structure based on the internet of things was developed,and the human-machine interaction interfaces of the embedded device terminal and the Web terminal were developed.The experimental results show that the temperature and humidity fitting curve obtained by the Web terminal after the algorithm processing is closer to the actual temperature and humidity curve,and the average early warning time of the mobile APP terminal is 0.8 s earlier.