浅谈超低能耗人工智能(AI)无线自组网通讯技术在水资源监测中的应用

Elementary Discussion on Application of Ultralow Energy Artificial Intelligent wireless Ad Hoc Network Communication Technology in Monitoring of Water Resources

近年来,快速发展的中国经济给工业监测、环境保护、公共安全等领域带来了空前的挑战。大气和水系污染愈演愈烈,大规模社会群体事件层出不穷。传统监测方法因覆盖面和手段局限,难以支撑新的需求。特别针对目前水环境污染状况的日益恶化的问题,采用超低功耗智能自组网无线监测网络,通过节点传感器采集水环境中离子浓度、盐度、电导率、温度等参数来实现实时监测。人工智能(AI)自组网网络节点可以模仿人工跳接的方式,一跳或多跳方式形成智能化自组织网络,在外加GPRS、卫星通信或者光缆通信的方式下,汇聚节点将网络节点采集的数据通过逐步接力的方式发送至上位机。监控调度中心上位机对数据进行分析处理,实现对水环境中各项参数的实时监测。由于没有外加通信自由,所以系统具有成本低廉、可复制、移植性好、实时性强的优势,可以为我国水环境监测和分析提供基础数据,可以通过计算模型预防水质灾害,为水污染治理提供科学依据。

In recent years, the rapidly developed economy of China has brought the unprecedented challengeto the industrial monitoring, environment protection and public safety. The pollution of atmosphere and river system becomes even more violent. The large scale of social group incident emerges in endlessly. The traditional monitoring method is hard to support the new demands because of its limited coverage and means.Specially aiming at the present worsening situation of water environment pollution, the wireless monitoring network of the ultralow energy artificial intelligent wireless ad hoc network is used to realize the real-time supervision of the parameters of ion concentration, salinity, electric conductivity and temperature in the environment collected by the node sensor. The network node of artificial intelligent ad hoc network can simulate the artificial jumper connection mode. One-jumper or multi-jumper mode forms the intelligent ad hoc network. Under the modes of additional GPRS, satellite communications or optical cable communication, the aggregation nodes will transmit the data collected by the network nodes to the master computer through the gradual relaying. The master computer of monitoring control center analyzes and processes the data to realize the real-time monitoring of each parameter in the water environment. Owing to no additional freedom of communications, the system has the advantages of low cost, easy copy, good portability and strong real time, can provide the basic data for the monitoring and analysis of water environment in China, and can prevent the disasters of water quality through the calculation model and provide the scientific basis for the control of water pollution.