基于多传感器数据融合的供水管网故障报警系统

针对传统的供水管网故障监控系统存在的误报次数多、抗干扰能力差、可信度低等缺点,研究利用多传感器监测供水过程的压力、电流、流速和液位等参数,采用基于D-S证据理论的多传感器数据融合技术,并对D-S证据理论进行了时间域和空间域融合方法的改进,以实现对供水管网故障的早期检测报警。结果表明:该方法可以有效避免监测数据的失误,解决了多传感器鲁棒性导致的证据冲突问题,提高了供水管网故障报警的可靠性。

Fault alarm system of water supply network based on multi sensor data fusion

In view of the shortcomings of traditional water supply network fault monitoring system such as the number of false positives,poor anti-interference ability,low reliability and so on,the paper used multi sensors to monitor the pressure,current,flow rate and liquid level parameters in the process of water supply of,and used the multi sensor data fusion technology based on D-S evidence theory,and improved the D-S evidence theory by fusion method in time domain and spatial domain so as to achieve the early detection of water supply pipe network.The results show that the method can effectively avoid the errors of monitoring data,and solve the problem of evidence conflict caused by multi sensor robustness,and improve the reliability of fault alarm of water supply pipe network.