基于SOA的智慧河道水质监测预警平台设计及应用

DESIGN AND APPLICATION OF INTELLIGENT RIVER WATER QUALITY MONITORING AND EARLY WARNING PLATFORM BASED ON SOA

针对传统河道管理体系中水文站点分布多、散、面广,水质样本采集方式耗时耗力,各部门间“信息孤岛”等问题,设计基于SOA的智慧河道水质监测预警平台。使用LPWAN技术,构建低功耗、远距离水质数据在线采集系统,通过SOA架构实现多源异构数据接入;通过PSO-BP算法及AR算法对采集到的数据进行水质分析和预测。平台实现了“云管端”一体化的在线水质参数采集及监测预警,预测误差在允许范围内基本低于1.5%,具有较好的实用性。

In order to solve the problems in traditional river management system,such as multiple,scattered and wide distribution of hydrological stations,time-consuming and labor-consuming water quality sample collection method,and“information island”among departments,this paper designs an intelligent river water quality monitoring and early warning platform based on SOA.The platform used LPWAN to build a low-power,long-distance water quality data online acquisition system,and realized multi-source heterogeneous data access through SOA architecture.The PSO-BP algorithm and AR algorithm were used to analyze and predict the water quality of the collected data.The platform realizes on-line water quality parameter acquisition,monitoring and early warning,and the prediction error is less than 1.5%within the allowable range,which has good practicability.