Abstract
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.
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