Research on Gas Stations Automation Management System Based on Neural Network

摘要：

The present main problems are that volume list of oil tank are not exact commonly and volume of oil tank cant 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.

关键词： Gas Station Automation Management Neural Network monitor at real-time interpolation algorithm

作者: Zhao meihong Li yun

作者单位: Institute of electronic & information engineering, Suzhou University of Science and Technology, Suzh dept.science of computer, Shanxi Vocational College of Tourism, Taiyuan, 030031, China

会议类型: 国际会议

会议名称: 2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)

会议地点: 太原

会议语种:英文

页码: 573-575

在线出版日期: 2009-07-10（万方平台首次上网日期，不代表论文的发表时间）