Title :
Research on safety assessment of gas environment in ammunition warehouse
Author :
Jianguo Liu ; Zhentao An ; Qian Zhang ; Tieshan Zhao ; Gang Liu
Author_Institution :
Dept. of Ammunition Eng., Ordnance Eng. Coll., Shijiazhuang, China
Abstract :
Because of the accumulation of harmful gas in the ammunition warehouse, the health of the privates and the long-term safety of ammunition storage would be affected. In order to assess the safety of the gas environment in ammunition warehouse, the software Fluent was applied to simulate the distribution rule of the harmful gas, and the area where the concentration of harmful gas is the highest in the warehouse was found. Then, a gas analysis system composed of sensor array and BP neural network was established to detect the harmful gas in the area where the concentration of harmful gas is the highest in the warehouse. If the concentration of harmful gas was greater than the extreme, the measures would be taken to guarantee the safety of the warehouse.
Keywords :
backpropagation; gas sensors; gases; hazardous materials; neural nets; numerical analysis; occupational safety; production engineering computing; warehousing; weapons; BP neural network; Fluent software; ammunition storage safety; ammunition warehouse safety assessment; gas analysis system; harmful gas accumulation; harmful gas concentration; sensor array; Arrays; Atmospheric modeling; Laboratories; Neural networks; Safety; Software; Stacking; ammunition warehouse; distribution rule; gas detection; harmful gas;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625830
