The Aquaculture Multi-Parameter Monitoring System

2010 ◽  
Vol 43 ◽  
pp. 192-195
Author(s):  
Yi Ying Liu

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.

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Wei Chen ◽  
Xiao Hao ◽  
JianRong Lu ◽  
Kui Yan ◽  
Jin Liu ◽  
...  

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.


Sensors ◽  
2009 ◽  
Vol 9 (8) ◽  
pp. 6411-6434 ◽  
Author(s):  
Peng Jiang ◽  
Hongbo Xia ◽  
Zhiye He ◽  
Zheming Wang

2011 ◽  
Vol 58-60 ◽  
pp. 2027-2032 ◽  
Author(s):  
Qing Jian Wei ◽  
Jin Ning ◽  
Xi Zhong Lou ◽  
Ren Zhi Ma ◽  
Jia Xu

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.


2013 ◽  
Vol 779-780 ◽  
pp. 1592-1595
Author(s):  
Yi Cheng Gong ◽  
Yong Xiang Zhang ◽  
Fei Ding ◽  
Wei Chun Gao ◽  
Yi Fan Wang

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.


2013 ◽  
Vol 756-759 ◽  
pp. 546-550
Author(s):  
Lei Chen ◽  
Xun Wang ◽  
Jing Sen Li

This paper begins with introduction the basic structure, functional modules and working principle of the intelligent voltage monitoring system terminal. Then, this article discussed detail the core modules such as data acquisition, storage, time stamps and send. The product uses a modular design concept, and greatly simplifies the difficulty of hardware and software design, reduce the cost of the product, it has a strong competitive strength.


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