Data Acquisition, Monitoring and Control Software for DETNI

Author(s):  
Bartosz A. Mindur
2012 ◽  
Vol 253-255 ◽  
pp. 705-715 ◽  
Author(s):  
Mohamed Elbanhawi ◽  
Milan Simic

This paper presents one application of industrial robots in the automation of renewable energy production. The robot supports remote performance monitoring and maintenance of salinity gradient solar ponds. The details of the design, setup and the use of the robot sampling station and the remote Data Acquisition (DAQ) system are given here. The use of a robot arm, to position equipment and sensors, provides accurate and reliable real time data needed for autonomous monitoring and control of this type of green energy production. Robot upgrade of solar ponds can be easily integrated with existing systems. Data logged by the proposed system can be remotely accessed, plotted and analysed. Thus the simultaneous and remote monitoring of a large scale network of ponds can be easily implemented. This provides a fully automated solution to the monitoring and control of green energy production operations, which can be used to provide heat and electricity to buildings. Remote real time monitoring will facilitate the setup and operations of several solar ponds around cities.


2014 ◽  
Vol 1044-1045 ◽  
pp. 755-758
Author(s):  
Xin Hui Yang

This paper provides a design for a PLC-based, variable-frequency governing, pressure-constant, automatic water-supply control system. This design is based on the current situations at the water supply plants found in small and medium cities in China. In this control system, the pressure signal across the pipe network is acquired by pressure sensors and then transmitted to PID modules in the PLC in order to control switching between pump motors. At the same time, the PLC is connected with a personal computer for industrial control purposes. On this computer, monitoring and control software has been installed in order to monitor and control the pressure-constant water-supply system on a real-time basis.


2021 ◽  
Vol 25 (4 Part B) ◽  
pp. 3073-3081
Author(s):  
Fen Peng

To solve the inaccurate measurement of the traditional thermal energy network, the paper designs a thermal energy network monitoring and control system based on GPS and Ti3367 wireless transmission and reception based on the IoT. First, the paper designs the monitoring and control system?s overall function and topology, including the management layer?s complex functions, the data aggregation layer, and the data acquisition layer. The paper then designs the system?s hardware structure based on the IoT, including the connection design of the hardware circuit structure diagram of the data aggregation layer and the data acquisition layer. Finally, the paper realizes the system?s software flow design, including system initialization and wireless data receiving and sending flow design.


2013 ◽  
Vol 347-350 ◽  
pp. 768-771 ◽  
Author(s):  
Jian Jun Zhou ◽  
Xiao Fang Wang ◽  
Xiu Wang ◽  
Wei Zou ◽  
Ji Chen Cai

A greenhouse monitoring and control system based on Zigbee networks was developed. This system consists of greenhouse data acquisition controller and greenhouse remote monitoring and control software. The system could monitor temperature and humidity, soil water content and concentration of carbon dioxide in greenhouse and could save these greenhouse data to database. Greenhouse acquisition controller had two kinds of control modes, including local manual control mode and remote wireless control mode in monitoring center. Greenhouse remote monitoring and control software can collect, display and record the collected data, also can control greenhouse environment. According to the current indoor temperature, the target temperature and the offset temperature, PID control method is used for temperature control in greenhouse. The system is implemented using low power wireless components, and easy to be installed. A good wireless solution is provided by this system for centralized management of the greenhouse group.


1980 ◽  
Vol 23 (3) ◽  
pp. 0589-0595 ◽  
Author(s):  
J. E. Parsons ◽  
J. L. Dunlap ◽  
J. M. McKinion ◽  
C. J. Phene ◽  
D. N. Baker

Author(s):  
N Yussup ◽  
N A A Rahman ◽  
M M Ibrahim ◽  
S C Soh@Shaari ◽  
N Saad ◽  
...  

2014 ◽  
Author(s):  
Ling Zhenghong ◽  
Zhang Weihong ◽  
Xu Youlin ◽  
Wang Qingyong ◽  
Wang Xiaoxiao

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