河流水污染监测系统中WSNs传感器节点的多参数研究(Siak River, Riau-Indonesia)

E. A. Kadir, A. Syukur, B. Saad, S. Rosa
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摘要

印度尼西亚是拥有许多河流和湖泊的国家之一。它位于东南亚,终年享有热带气候。廖内省位于苏门答腊岛的中部,位于苏门答腊岛的中心。这个省有5条以上的大河,每天都被社区用来进行日常活动。经济的快速发展对该地区产生了重大影响,许多沿江经营的工业产生的工业废物污染了河水。本章讨论了河流水质监测系统的发展,并对几个相关参数进行了监测。本研究中应用的无线传感器网络(WSNs)集成了传感器节点,该传感器节点嵌入到多个传感器中,包括温度、溶解氧(DO)、pH和电导率。该监测系统是为环境监测河水水位、河水流量和洪水预警系统而专门设计的。WSNs传感器节点从多个传感器收集信息,转发到嵌入到微控制器存储器和单元作为本地数据库的WSNs汇聚节点,然后将信息发送到监控系统。监控系统显示了机构或地方当局可以监控的重要信息。如果监测系统发现异常,我们将及时采取措施。设计并测试了该传感器节点的原型,结果表明该传感器节点对污水参数、水位和河流流量的检测是可靠的。此外,在廖内省锡亚克河对传感器节点进行了测试,并与实际河水进行了比较。所有数据均保存在数据库中,便于记录分析和今后监测系统的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi Parameter of WSNs Sensor Node for River Water Pollution Monitoring System (Siak River, Riau-Indonesia)
: Indonesia is one of the countries that have many rivers and lakes. It is situated, in South East Asia and enjoys tropical climate all year round. Riau province is located in the centre and middle of Sumatera Island which in the heart of Sumatera. This province has more than five big rivers that are used by the community every day for their daily activities. The rapid economic development has significant impact to the region where many industries operating along the river produce industrial wastes that pollutes the river water. This chapter discusses the development of river water monitoring system where several relevant parameters are monitored. The Wireless Sensor Networks (WSNs) applied in this research integrates sensor node that is embed to multi sensor consist of temperature, dissolved oxygen (DO), pH, and electrical conductivity. The system for monitoring is specially design for ability to monitor level of river water, river water flow rate for environment and flood alert system. WSNs sensor nodes collects information from the multiple sensors and forwards to the WSNs sink nodes which embed to the microcontroller memory and unit as a local database before send the information to the monitoring system. The monitoring system shows the vital information that can be monitored by institutions or local authorities. Prompt action will be can be taken if abnormality is raised by the monitoring system. A prototype of this WSNs nodes designed and tested and the results show that sensor nodes are reliable for the detection of polluted water parameters, water levels as well as river flow rate. Furthermore, sensor node was tested at the Siak river located in Riau Province the compare results with actual river water. All the data were keep in the database for recording of analysis and for future development of monitoring system.
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