A Design and Implementation of Water Surveillance System Based on Wireless Sensor Networks

2014 ◽  
Vol 602-605 ◽  
pp. 2305-2307
Author(s):  
Shan Hong Zhu ◽  
Pei Tang
Keyword(s):  
Water Temperature ◽  
Monitoring System ◽  
Large Scale ◽  
Ph Value ◽  
Water Environment ◽  
Base Station ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Artificial Lake ◽  
Environmental Monitoring System

A water environmental monitoring system based on a wireless sensor network is proposed. It consists of three parts: data monitoring nodes, data base station and remote monitoring center. This system is suitable for the complex and large-scale water environment monitoring, such as for reservoirs, lakes, rivers, swamps, and shallow or deep ground waters. This paper is devoted to the explanation and illustration for our new water environment monitoring system design. The system had successfully accomplished the online auto-monitoring of the water temperature and pH value environment of an artificial lake. The monitoring system thus promises broad applicability prospects. The system's measurement capacity ranges from 0 to 90 °C for water temperature, with an accuracy of ±0.5 °C; from 0 to 16 on pH value, with an accuracy of ±0.05 pH units. Sensors applicable to different water quality scenarios should be installed at the nodes to meet the monitoring demands for a variety of water environments and to obtain different parameters.

scholarly journals Energy-Efficient Routing Control Algorithm in Large-Scale WSN for Water Environment Monitoring with Application to Three Gorges Reservoir Area

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yuanchang Zhong ◽  
Lin Cheng ◽  
Liang Zhang ◽  
Yongduan Song ◽  
Hamid Reza Karimi
Keyword(s):  
Three Gorges Reservoir ◽  
Large Scale ◽  
Water Environment ◽  
Maximum Energy ◽  
Base Station ◽  
Three Gorges Reservoir Area ◽  
Three Gorges ◽  
Environment Monitoring ◽  
Cluster Heads ◽  
Node Energy

The typical application backgrounds of large-scale WSN (wireless sensor networks) for the water environment monitoring in the Three Gorges Reservoir are large coverage area and wide distribution. To maximally prolong lifetime of large-scale WSN, a new energy-saving routing algorithm has been proposed, using the method of maximum energy-welfare optimization clustering. Firstly, temporary clusters are formed based on two main parameters, the remaining energy of nodes and the distance between a node and the base station. Secondly, the algorithm adjusts cluster heads and optimizes the clustering according to the maximum energy-welfare of the cluster by the cluster head shifting mechanism. Finally, in order to save node energy efficiently, cluster heads transmit data to the base station in single-hop and multihop way. Theoretical analysis and simulation results show that the proposed algorithm is feasible and advanced. It can efficiently save the node energy, balance the energy dissipation of all nodes, and prolong the network lifetime.

scholarly journals Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring

2017 ◽  
Vol 13 (08) ◽  
pp. 4
Author(s):  
Yong Jin ◽  
Zhenjiang Qian ◽  
Xiaoshuang Xing ◽  
Lu Shen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Monitoring ◽  
Monitoring System ◽  
Living Environment ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Communication Services ◽  
Environmental Monitoring System ◽  
Major Bottleneck

ensor nodes vulnerable becomes a major bottleneck restricting the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks in environmental monitoring application. In order to have a reliable environment monitoring system, this paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, we studied the fault detection method and finally realized the design can improve the survivability of the scheme. The robust guarantee scheme through hardware design and algorithm model, realized the remote wireless communication services and prolonged the network life cycle, so as to improve the survivability of the environmental monitoring system.

scholarly journals Research and Design of Distributed IoT Water Environment Monitoring System Based on LoRa

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Wei Chen ◽  
Xiao Hao ◽  
JianRong Lu ◽  
Kui Yan ◽  
Jin Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
Real Time ◽  
Monitoring System ◽  
Water Environment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Environment Monitoring ◽  
Long Distance ◽  
Internet Of Things Technology

In order to solve the problems of high labor cost, long detection period, and low degree of information in current water environment monitoring, this paper proposes a lake water environment monitoring system based on LoRa and Internet of Things technology. The system realizes remote collection, data storage, dynamic monitoring, and pollution alarm for the distributed deployment of multisensor node information (water temperature, pH, turbidity, conductivity, and other water quality parameters). Moreover, the system uses STM32L151C8T6 microprocessor and multiple types of water quality sensors to collect water quality parameters in real time, and the data is packaged and sent to the LoRa gateway remotely by LoRa technology. Then, the gateway completes the bridging of LoRa link to IP link and forwards the water quality information to the Alibaba Cloud server. Finally, end users can realize the water quality control of monitored water area by monitoring management platform. The experimental results show that the system has a good performance in terms of real-time data acquisition accuracy, data transmission reliability, and pollution alarm success rate. The average relative errors of water temperature, pH, turbidity, and conductivity are 0.31%, 0.28%, 3.96%, and 0.71%, respectively. In addition, the signal reception strength of the system within 2 km is better than -81 dBm, and the average packet loss rate is only 94%. In short, the system’s high accuracy, high reliability, and long distance characteristics meet the needs of large area water quality monitoring.

scholarly journals Design of a Water Environment Monitoring System Based on Wireless Sensor Networks

Sensors ◽  
2009 ◽  
Vol 9 (8) ◽  
pp. 6411-6434 ◽  
Author(s):  
Peng Jiang ◽  
Hongbo Xia ◽  
Zhiye He ◽  
Zheming Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Monitoring System ◽  
Water Environment ◽  
Wireless Sensor ◽  
Environment Monitoring

An Environment Monitoring System Based on Wireless Sensor Networks

2013 ◽  
Vol 765-767 ◽  
pp. 2109-2112 ◽  
Author(s):  
Jin Liu ◽  
Lian Jie Li ◽  
Yu Xin Liu
Keyword(s):  
Monitoring System ◽  
Environmental Control ◽  
Monitoring Network ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Monitoring And Control ◽  
Gateway Node ◽  
Environmental Monitoring System ◽  
Remote Environment ◽  
And Control

Based on the wireless sensor network technology, an environmental monitoring system with localization and magnetic detection capabilities is developed for unattended remote environment monitoring and control. In the system, monitoring nodes adopt the CC2420 to build a low-power, short-range jump, self-organizing wireless network, and the gateway node uses the GPRS technology to link the front monitoring network to the rear monitor center. Meanwhile, a component-based software framework is provided to facilitate the protocol implement and to improve expansibility. The experiment demonstrates that the supervisory system can realize the environmental control duty and has a good application value.

Design of Temperature and Humidity Monitoring System Based on Wireless

2013 ◽  
Vol 385-386 ◽  
pp. 644-647
Author(s):  
Qiang Gao ◽  
Xiang Gao ◽  
Hai Qing Wu
Keyword(s):  
Monitoring System ◽  
Textile Industry ◽  
Base Station ◽  
Sql Server ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Wireless Data ◽  
Temperature And Humidity ◽  
Sql Server Database ◽  
Humidity Monitoring

Aiming at the strict environment limit of existing technology and industrial production in the textile industry, a multi-point temperature and humidity monitoring system has been introduced based on the wireless sensor network. The data collected by the sensors was transmitted through wireless data transmitting module. And the base station will transmit the data received from this module to the computer after data processing. Thus the temperature and humidity data monitoring management has been realized in computer. This system is developed by using the Visual C++, and has realized the SQL Server database storage by using ADO technology. Finally, the environment monitoring in the textile factor has been received and the production requirements has been satisfied.

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