论文部分内容阅读
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。
Aiming at the defects of traditional fault monitoring system of water supply network, such as frequent false positives, poor anti-jamming ability and low reliability, the paper studies the parameters of pressure, current, flow and liquid level in water supply monitoring by using multi- Evidence theory, and improves DS evidence theory in the method of time and space domain fusion to realize the early detection and alarm on the fault of water supply network. The results show that this method can effectively avoid mistakes in monitoring data, solve the conflict of evidence caused by the robustness of multi-sensor, and improve the reliability of fault alarm of water supply network.