Geographical information system based on artificial intelligence techniques

Abstract

The Electrical Union in Cuba develops the Business Management System of the Electrical Union (SIGE) that focuses on the automation of electrical processes. The geographic information systems (SIGOBE) developed don’t meet the specific requirements for their generalization due to their limited updating facilities and the small spectrum they cover. The general objective of the research is: to develop the geographic information system of the transmission and distribution processes in the Electric Union, with the use of artificial intelligence techniques, on a deep conceptual scheme of the domain, that responds to the requests of consultation of users as support for decision making. A case-based system on type problem solved was designed, using as an initial case database, the 265 static queries registered in SIGERE. The queries are described by eight data-type predictive traits and three objective traits. The similarity between two cases was determined by the weighted sum of the distance of their traits and the calculation of the distance between traits was done according to its nature. An intelligent real-time queries system was implemented for the SIGOBE, achieving the generation of automatic queries that allow the system to respond to any type of queries in real-time. The experimental study shows the feasibility of the proposal.