【摘 要】
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In this paper,an online monitoring system for gas stations is designed,in order to impose real time monitoring on the oil depot of a gas station.This system monitors the VOC content in the surrounding
【机 构】
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CNPC Institute of Safety & Environment Technology,Beijing,China,102206
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In this paper,an online monitoring system for gas stations is designed,in order to impose real time monitoring on the oil depot of a gas station.This system monitors the VOC content in the surrounding air of the oil depot and analyses the figure with upper computers,through which it triggers the alarm processing as the monitored data exceeds the standard.Based on the data trend and the production status,the system will provide early warning over situations that figures exceed limits by adopting artificial intelligence methods.By using the system,one can effectively distinguish whether a leakage has occurred in a gas station oil depot.The system helps staff to check the hidden dangers in time,and thus keeps people warned and alerted.In the meantime,the system analyses the working condition of production (such as fueling operation and temperature and pressure inside oil depot),and assesses the possibility of leakage by adopting artificial intelligence methods.When designing the method,the using of online monitoring technology helps realize real time monitoring alarming over leakage of underground oil depots.The design of the system introduces artificial intelligence and big data analysis theory to assess leakage possibility and increase detection accuracy and provide early warning over oil depot leakage.The system and its design have effectively enhanced the efficiency of online monitoring,and have boosted operation safety.
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