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机构地区:[1]昆明理工大学电力工程学院,昆明650500 [2]吉林大学计算机科学与技术学院,长春130012 [3]昆明理工大学生命科学与技术学院,昆明650500
出 处:《价值工程》2013年第25期31-33,共3页Value Engineering
摘 要:随着电动汽车发展,眼下亟待解决的问题,是电动汽车"后勤保障"设施,而我国电动汽车充换电站设施的匮乏严重影响到电动汽车发展,因此电动汽车要发展首先要解决电动汽车充换电站选址的规划和决策问题。文中提出了基于GIS的电动汽车充换电站规划智能决策系统。将电动汽车充换电站规划决策划分3个层次,在此构建总体规划方案,并集成了GIS和人工智能技术,给出了该方法的一般性决策模型,为构建基于GIS的电动汽车充换电站规划智能决策支持系统提供了依据。The paper is aimed at introducing the decision making method, known as "intelligent decision making method for The electric car filling in power station planning and management based on GIS". As we know, it is a fundamental method to overcome the difficulties brought by great chaos in the process of the service station management, which can only be improved by heightening the effectiveness of decision-making planning and management.Thus this paper has put forward the new method according to the characteristics and existent problems of electric car filling in power station management decision.The decision-making management system can be divided into three levels.Then the paper has put forward the general frame of the electric car filling in power station management system,with the planned strategic targets and decision analysis about respective links in the system being illustrated. Meanwhile, it is necessary to integrate the artificial intelligence with semi-structural and unstructured models of general planning through KBS to absorb the plentiful experience and knowledge accumulated for many years from planning experts so as to combine the quantitative calculation with the qualitative analysis to improve the ability of problem solving.
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