面向污水监控系统的自适应加权数据融合算法

Adaptive Weighted Data Fusion Algorithm Faced to Wastewater Monitoring System

水是人类身体组织构成的重要成分,水质的好坏与人们日常生活更是息息相关。实时掌握水质状况能帮助人们最大限度地降低水质污染给人们身体及其日常生活带来的危害,保证人们正常生活。针对传统的污水监测系统监测周期长、时间覆盖率低等缺点,引入无线传感器网络实现实时监测,并对其网内传输数据运用自适应加权数据融合算法进行处理。仿真结果表明,该算法基本上能满足污水监测系统对数据的要求,并达到节省能量、提高效率的效果。同时,经融合后数据量减少进而缓解了网络拥塞,延长了网络寿命。

Water is an important component of human body tissue composition, and water quality is closely related to the dally life of peo- ple. The real-time control water quality can help people to reduce the harm of water pollution that brought to the people body and dally life, to ensure the normal life of people. In view of long monitoring cycle, low time coverage and other shortcomings for the traditional wastewater monitoring system,introduce the wireless sensor network to realize real-time monitoring, and for network data transmission, use the adaptive weighted data fusion algorithm for processing. The simulation results show that the algorithm can basically meet the re- quirements of wastewater monitoring system of data, saving the energy and improving the efficiency. Meanwhile, the amount of data re- duces after the fusion and thus alleviates the network congestion,extending the network life cycle.