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

Volume

1

fYear

2009

fDate

10-11 July 2009

Firstpage

573

Lastpage

575

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering, 2009. ICIE '09. WASE International Conference on

Conference_Location

Taiyuan, Chanxi

Print_ISBN

978-0-7695-3679-8

Type

conf

DOI

10.1109/ICIE.2009.223

Filename

5211535