An Integrated Data Acquisition, Safety Monitoring and Control System for Automated Tests

1967 ◽  
Author(s):  
Vern C. Vanderbilt ◽  
William Van Ostrand ◽  
Clarence L. Zimmer
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.


2015 ◽  
Vol 727-728 ◽  
pp. 721-724
Author(s):  
Xu Tao Liu ◽  
Zhi Wen Wang ◽  
Dong Wei ◽  
Xiao Long Lai

In order to realize monitor and control multiple fuel cell group, design a PEMFC monitoring and control system. The system uses LabVIEW as the computer software platform. By calling the USBCAN card’s driver, LabVIEW realize the communication with CAN bus; By connecting with each data acquisition and control module,the CAN bus can realize data acquisition and hardware control, so as to realize the monitoring and control of the fuel cell system by the computer.


2020 ◽  
Vol 39 (4) ◽  
pp. 5283-5290
Author(s):  
Zhongchun Nie ◽  
Weijun Tao ◽  
Shi Huan

Nowadays, urbanization has become a trend, and the realization of urbanization cannot be separated from the implementation of various projects. In the process of project implementation, the most critical issue is safety, so it is extremely necessary to monitor the project safety. Traditional manual monitoring cannot meet the development of today’s project, and the design of an automatic monitoring system for project safety has become a hot spot. In this paper, based on image processing and monitoring technology, and engineering safety monitoring and control system based on image quality analysis is studied, which can detect the engineering safety in real-time. Firstly, the image acquisition equipment is used to collect engineering images, and image processing is carried out to improve the image quality. Secondly, the convolutional neural network is used to realize image security analysis and detect the unsafe risk in engineering. Finally, combined with network technology, the automatic monitoring and control system of engineering safety based on image quality analysis is realized. Through simulation analysis, it is found that image processing can effectively remove noise and other interference and improve image quality. And the convolutional neural network can effectively detect the safety problems in the project, which shows that the design and implementation of the project safety monitoring and control system, it can achieve real-time safety monitoring in the implementation of the project, and has a good application effect in the project safety monitoring.


Sign in / Sign up

Export Citation Format

Share Document