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논문검색

An Intelligent Analysis and Mining System for Urban Lighting Information

초록

영어

Urban lighting information plays an important role in digital urban management. In this paper, an IAMSULI (Intelligent Analysis and Mining System for Urban Lighting Information) is proposed. Using data analysis technology, case-based reasoning technology and data mining technology comprehensively, the system aims at providing better decision support for lighting management. IAMSULI is composed of system management, geographical information management, lighting information management, lighting data analysis, comprehensive classification statistics and event management. The system can help us quickly find lighting problems, provide early warning alarm of the problems, and also supply constructive information for the urban development.

목차

Abstract
 1. Introduction
 2. Overall System Design and Analysis
  2.1. Overall System Design
  2.2. Database Design
 3. Detailed System Design and Implementation
  3.1. Design and Implementation of Geographic Information Management Module
  3.2. Design and Implementation of Lighting Data Analysis Module
  3.3. Design and Implementation of Comprehensive Classification Statistic Module
 4. Conclusions
 Acknowledgements
 References

저자정보

  • Guanlin Chen School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, P.R. China, College of Computer Science, Zhejiang University, Hangzhou, 310027, P.R. China
  • Erpeng Wang School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, P.R. China, College of Computer Science, Zhejiang University, Hangzhou, 310027, P.R. China
  • Xinxin Sun Department of Computer Science and Information, Zhejiang University of Water Conservancy and Electric Power, Hangzhou, 310018, P.R. China
  • Yanqiang Tang School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, P.R. China

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