Title :
Research on Gas Stations Automation Management System Based on Neural Network
Author :
Meihong, Zhao ; Yun, Li
Author_Institution :
Inst. of Electron. & Inf. Eng., Suzhou Univ. of Sci. & Technol., Suzhou, China
Abstract :
The present main problems are that volume list of oil tank are not exact commonly and volume of oil tank can´t be probed visually. Aiming at domestic gas stations´ status, the gas station automation management system is established based on neural networks. This paper puts forward the method of using linear interpolation algorithm to calculate the volume of oil tank at real time. It has improved the calculating accuracy greatly and can monitor administrant at real-time to make correct judgments electronic.
Keywords :
gas industry; interpolation; neural nets; production engineering computing; gas stations automation management system; linear interpolation; neural network; Automatic control; Computer network management; Computerized monitoring; Design automation; Financial management; Fuel storage; Information management; Interpolation; Neural networks; Petroleum; Gas Station Automation Management; Neural Network; interpolation algorithm; monitor at real-time;
Conference_Titel :
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location :
Taiyuan, Chanxi
Print_ISBN :
978-0-7695-3679-8
DOI :
10.1109/ICIE.2009.223
