基于物联网技术水资源环境监测仿真研究

Research on Water Monitoring Technology Based on Internet of Things

研究对水资源环境进行监测的精度问题。针对传统的水资源监测系统难以自适应采集各种类型水资源数据信息和实时可靠地传输水监测数据的问题,特别是传统的监测算法具有较高的复杂性,参数设置需要大量的资源,为了解决上述问题,提出了一种多传感网络平台的水资源环境监测物联网技术。主要难点技术在于将监测区域分为若干个不同的分簇,每个分簇搜集各种类型的环境监测数据,且可依据监测需要设定不同类型的传感器;在监测区域内设置移动Agent节点,根据网络能耗建立实时二维定位表,采用Rosen梯度投影法选择最优路径,构建移动方案,搜集采集到的数据并转发给控制中心。仿真表明,提出的技术对水资源监测实现远程数据采集和传输,具有实时性和可靠性,且网络整体能耗较低。

Research water resources environment monitoring accuracy problem. The costs of deployed and maintenance of traditional water resources monitoring system are high, which is difficult to collect all types of water resources data information and transport reliable water data in real - time. The paper put forward a kind of sensor network platform based on the technology of interneat of things of water environment monitoring. The monitoring area was divided into several different clumps, each clumping collect all kinds of environmental monitoring data, and can set different kinds of sensors according to monitoring needs. In monitoring area, mobile agent nodes were set up. According to the consumed network energy, two - dimensional real - time localization table was established. Using Rosen gradient projection method, the optimal path was selected to build mobile solutions, collect the data and sent to the control center. The simulation experiment and mathematical analysis show that the water resources monitoring technology for the remote data collection and transmission is of real - time and reliability, and the overall network en- ergy consumption is low.