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Issue title: Fuzzy Logic based Decision Making
Guest editors: Erik Maehle, Norbert Stoll and Chao-Hsien Chu
Article type: Research Article
Authors: Cai, Jingying
Affiliations: Mudanjiang Normal University, Mudanjiang, Heilongjiang 157011, China | E-mail: [email protected]
Correspondence: [*] Corresponding author: Mudanjiang Normal University, Mudanjiang, Heilongjiang 157011, China. E-mail: [email protected].
Abstract: The purpose of this study is to improve the efficiency of on-line monitoring of pollutants on oil platform and the economic benefits of oil exploration and development companies. In this study, firstly, several technologies used in the development of this system are introduced, namely, Common Gateway Interface (CGI), Active Server Page (ASP), Document Object Model (DOM) and Internet Information Server (IIS). Secondly, the overall structure of oil anti-fouling statistics system is divided into three functional modules: news module, anti-fouling data processing module and user management module. Finally, the overall workflow of the system, user workflow, system security and database are designed. The results show that the system can realize the rapid and automatic exchange and information sharing of system information, and provide information service for related departments. In addition, it can also improve the comprehensive information query ability, and provide leaders and competent departments with the latest information at any time, so as to provide information support for planning and decision-making. Therefore, through this research, it is possible to speed up the collection and processing of information, improve the comprehensive utilization of information resources, and provide a reliable basis for scientific decision-making.
Keywords: Monitoring software, petroleum pollutant, CGI, ASP, IIS
DOI: 10.3233/JCM-191026
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. S1, pp. 189-194, 2019
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