Automatic monitoring and control of hazardous hydride gases

Solar Cells ◽  
1987 ◽  
Vol 19 (3-4) ◽  
pp. 263-268 ◽  
Author(s):  
Jeffery J. Roy
2013 ◽  
Vol 19 (10) ◽  
pp. 2895-2900
Author(s):  
San-Shan Hung ◽  
Hsing-Cheng Chang ◽  
Pao-Ti Kao ◽  
Shyan-Lung Lin

2014 ◽  
Vol 1055 ◽  
pp. 242-245
Author(s):  
Shu Sen Bai ◽  
Feng Yun Liu ◽  
Zhi Cheng Feng

Nature gas is an important fuel. How to measure the gas amount precisely and how to utilize the gas properly, how to distribute the gas and how to calculate the fees of the gas are very significant to enhance economical benefits in the gas distributing station. In the designed control system, Computers are used in the measurement of the gas to compensate auto-online computation and calculate the flux of the gas automatically in the standard state .The system is provided with the function of the gas pressure adjustment, the charging and discharging the gas in the gas-globe-jar, the starting and stopping of the compressor, diagnosing the system failure, technical parameter over threshold alarming and the chain-protection of the system. The combination control software are used in the design to collect the data, monitor and control the objects in the system, so it is provided with convenience in operation and maintenance, and dynamical man-computer interface..


2021 ◽  
Vol 1916 (1) ◽  
pp. 012087
Author(s):  
S Chandra Prabha ◽  
G Ganishka ◽  
S Anto Mamman Shane ◽  
S Gayathri

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.


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