Research on Monitoring System for Factory Aquaculture

2013 ◽  
Vol 765-767 ◽  
pp. 2070-2073
Author(s):  
Yan Hua Chen ◽  
Jing Ou ◽  
Guo Ping Hou
Keyword(s):  
Water Quality ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Front End ◽  
Upper Computer

This paper proposes a monitoring system for factory aquaculture, which collects data and sends them via wireless sensor network (WSN). This monitoring system consists of front-end equipment and upper computer. The front-end equipment is a wireless sensor network consisting of several sensor nodes with different functions and one coordinator node. The upper computer includes monitoring software to monitor the water quality parameters. We mainly focus on designing the solution of monitoring system, the connection circuit between RS232 and SP3232E, as well as the flow of sampling application. Experimental results show that our monitoring system can meet the basic requirements for monitoring the water quality parameters.

scholarly journals Wastewater Monitoring System in Industrial Workshop Based on Wireless Sensor Network

2017 ◽  
Vol 13 (03) ◽  
pp. 63 ◽  
Author(s):  
Minhai Zhang ◽  
Shuangxiang She
Keyword(s):  
Water Quality ◽  
Data Acquisition ◽  
Monitoring System ◽  
Function Analysis ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Polluted Water ◽  
Zigbee Network

In this paper, regarding the complexity of polluted water, through analyzing the water environment and its surrounding factors, a water quality monitoring system architecture based on wireless sensor networks is proposed. Firstly, the water quality parameters collected by the sensor are processed by the signal conditioning circuit and then transmitted to the sensor nodes so as to realize the data acquisition of the water quality parameters. Afterwards, through the function analysis of each node in the ZigBee network, the hardware design and software program design of the network coordinator node and the routing node are completed. After joint debugging of the hardware and software, point-to-point communication and system networking of the ZigBee network are achieved. Finally, the results of experiments show that the system can realize the data acquisition and wireless transmission of the temperature and PH parameters of different solutions. Furthermore, each node realizes its own function and meets the design requirements of the system.

scholarly journals A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Monitoring Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Remote Monitoring System ◽  
Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

scholarly journals Monitoring and Analysis of Water Quality Parameters for Diagnosis of Safe Drinking Purpose using Wireless Sensor Network

2019 ◽  
Vol 9 (2) ◽  
pp. 1478-1482
Keyword(s):  
Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Polluted Water ◽  
The People ◽  
Living Things ◽  
Untreated Sewage ◽  
The World

In the 21st century, the world had advanced through lots of innovations; its parallel impact in the form of pollutions, global warming and climatic change crisis are being raised. These crises create a gap in terms climatic changes, poor air quality, and unsafe drinking water for the population around the world. Among all pollutants, water pollution is a thrust area as it is a prominent parameter in the food chain of living things. There are huge numbers of diseases that are attributed due to polluted water. The water sources are mainly polluted due to untreated sewage and industry discharges. But mainly industrial wastewater discharge contributes to the accelerated pollution in the water bodies. The proposed design focuses on monitoring the water quality parameters like pH, TDS, TOC, and Chlorine content, conductivity etc., using wireless Sensor Nodes around open ponds and wells near tannery units. The data is transmitted to the cloud, and further information is given to the people through GSM. Repository of data is maintained in order to take it for further analysis. Results obtained from the model indicate the values of the above mentioned parameters.

scholarly journals In-Situ Pipeline Monitoring System Design for Identifying and Locating Damaging Activities Based on Wireless Sensor Network

2020 ◽  
pp. 33-46
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Monitoring Methods ◽  
Pipeline Monitoring

Due to the recent advancements in the fields of Micro Electromechanical Sensors (MEMS), communication, and operating systems, wireless remote monitoring methods became easy to build and low cost option compared to the conventional methods such as wired cameras and vehicle patrols. Pipeline Monitoring Systems (PMS) benefit the most of such wireless remote monitoring since each pipeline would span for long distances up to hundreds of kilometers. However, precise monitoring requires moving large amounts of data between sensor nodes and base station for processing which require high bandwidth communication protocol. To overcome this problem, In-Situ processing can be practiced by processing the collected data locally at each node instead of the base station. This Paper presents the design and implementation of In-situ pipeline monitoring system for locating damaging activities based on wireless sensor network. The system built upon a WSN of several nodes. Each node contains high computational 1.2GHz Quad-Core ARM Cortex-A53 (64Bit) processor for In-Situ data processing and equipped in 3-axis accelerometer. The proposed system was tested on pipelines in Al-Mussaib gas turbine power plant. During test knocking events are applied at several distances relative to the nodes locations. Data collected at each node are filtered and processed locally in real time in each two adjacent nodes. The results of the estimation is then sent to the supervisor at base-station for display. The results show the proposed system ability to estimate the location of knocking event.

scholarly journals An Anthurium Growth Environment Monitoring System Based on Wireless Sensor Network

2019 ◽  
Vol 15 (05) ◽  
pp. 69
Author(s):  
Jianqing Huang ◽  
Debing Liu ◽  
Qi Yuan
Keyword(s):  
Wireless Sensor Network ◽  
Light Intensity ◽  
Soil Temperature ◽  
Sensor Network ◽  
Monitoring System ◽  
Air Temperature ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Growth Environment ◽  
Temperature And Humidity

Anthurium is known as a famous and precious cut flower in the world, but its growth and ornamental effect is easily affected by environmental conditions such as temperature, humidity and light intensity. An environment parameter monitoring system based on wireless sensor network is proposed to let flower managers understand the status of anthurium growth environment at any time, and take effective measures to improve the environment. The proposed system uses sensor nodes to acquire data of air temperature and humidity, light intensity and soil temperature and humidity, sink node to collect data from sensor nodes through wireless sensor network, and send data to the PC of monitoring center. By using MSP430F149 as the main controller, nRF905 as the communication module, and AM2306, GY－30 and SMTS-II-485X as the air temperature and humidity, light intensity and soil temperature and humidity sensors, the hardware of the wireless sensor network nodes are realized. The node software is developed based on IAR Embedded Workbench and the computer monitoring software by VB6.0. The results show that the proposed system which is accurate and stable can make real-time monitoring of anthurium growth environment in a large scale.  Therefore it can be widely applied in agricultural environmental monitoring.

A WSN-Based Remote Monitoring System for Water Quality

2014 ◽  
Vol 926-930 ◽  
pp. 1571-1575 ◽  
Author(s):  
Hui Feng ◽  
Zi Jing Pan
Keyword(s):  
Water Quality ◽  
Remote Monitoring ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Remote Monitoring System ◽  
Power Mode ◽  
Monitoring Center

As a result of bad real-time character of detecting water quality by traditional method, in this paper, we illustrate a new remote water quality system which is designed based on WSN, and consists of wireless sensor nodes, sink nodes and a monitoring center. All nodes are built by CC2530, designed in lower power mode, and organized by Zigbee network to gather water quality parameters such as: PH, DO and turbidity. GPRS module, which is combined in the sink node, is responsible to send managed data to monitoring center which analyses, process and display the water quality parameters to users.

Sign in / Sign up

Export Citation Format

Share Document