Design of Lijiang Water Environment Monitoring System Based on WSN

2016 ◽  
Author(s):  
Zhang Lieping ◽  
Cao Peng ◽  
Peng Fei
Keyword(s):  
Monitoring System ◽  
Water Environment ◽  
Environment Monitoring

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

Software Design for Water Environment Remote Monitoring System Based on Mobile Devices

2011 ◽  
Vol 58-60 ◽  
pp. 2027-2032 ◽  
Author(s):  
Qing Jian Wei ◽  
Jin Ning ◽  
Xi Zhong Lou ◽  
Ren Zhi Ma ◽  
Jia Xu
Keyword(s):  
Operating System ◽  
Mobile Devices ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Water Environment ◽  
Environment Monitoring ◽  
Efficient Operation ◽  
Remote Monitoring System ◽  
Android Operating System ◽  
Monitoring Center

A mobile remote data monitoring center based on Android operating system is developed for the water environment monitoring system via wireless sensor network (WSN). The monitoring center collects the sensors data from the WSN based on C/S mode. The SQLite is adopted in database module to achieve high memory speed and efficient operation management. Dynamic graphical displays are accomplished to show the topology of the WSN, the state of the nodes and the real-time and historical water environment parameters of the sensor nodes. The experiments show that the software of water environment remote monitoring system, based on mobile devices of Android operating system, can conveniently satisfy the requirements of data collecting and monitoring for water environment monitoring system based on WSN.

Water Environment Monitoring System Based on Data Extraction - Transmission and Processing

2013 ◽  
Vol 779-780 ◽  
pp. 1592-1595
Author(s):  
Yi Cheng Gong ◽  
Yong Xiang Zhang ◽  
Fei Ding ◽  
Wei Chun Gao ◽  
Yi Fan Wang
Keyword(s):  
Monitoring System ◽  
Data Extraction ◽  
Water Environment ◽  
Secondary Data ◽  
Sensor Technology ◽  
Environment Monitoring ◽  
Data Process ◽  
Plc Control ◽  
Groundwater Environment ◽  
Display Technology

The current paper describes a water environment monitoring system, which is focused on the online monitoring techniques of groundwater detection, data process and transmission, a local experiment equipment is also developed. Besides, an integrated study, in terms of host computer of the groundwater monitoring system, programmable logic controller (PLC) control system and sensor technology is carried out. Moreover, the secondary data process of automatic detection instrumentation and display technology is integrated, as well as the visualized data platform is primarily established. The water environment monitoring system improves the standard of monitoring indicators from the surface water environment to groundwater environment. The detection interval of the system is less than 3min, and the pollution forecast scope surpasses 16 km2. A high accuracy of the forecasting and risk analysis can be obtained.

The Aquaculture Multi-Parameter Monitoring System

2010 ◽  
Vol 43 ◽  
pp. 192-195
Author(s):  
Yi Ying Liu
Keyword(s):  
Monitoring System ◽  
Software Design ◽  
Water Environment ◽  
Time Signal ◽  
Environment Monitoring ◽  
Distributed Monitoring ◽  
Flow Charts ◽  
The Cost ◽  
Profibus Dp ◽  
Parameter Monitoring

This paper introduces an aquaculture multi-parameter monitoring system. The hardware structure of the system is introduced, the software design of the system is described in detail and the flow charts of the key functions are presented. By using the Profibus-DP field bus, more monitoring stations are joined together to constitute a distributed monitoring and controlling network, which has functions like accurate signal collecting, real-time signal analyzing and processing and automatic alarm. The system can not only improve the accuracy and stability of parameter monitoring, but also enlarge the monitoring range, convenient the water environment monitoring and managing, reduce the cost of equipment and production. It can apply to the large aquaculture enterprises.

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