There are many defects existed in interactive intelligent power utilization field, such as the human-computer interaction interface is not ideal, and the application scene of geographic technology is simple, and graphical visualization Representation is delayed and the operation is not flexible, and the ability of real-time interaction and user experience are weak, and the ability of warning display is not strong, the paper proposes a visualization representation method, which is based on GIS platform and uses the OpenLayers framework, HTML5 technology and other RIA(rich internet applications) technology to achieve the visualization representation. At the same time, the user experience is enhanced, and the failure and risk can be found out timely.

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In this paper, a novel logic decomposing method in selfhealing smart grid system based on neural networks is presented and the theoretical fundamentals of the design are expounded. The proposed automatic smart grid topology search algorithm, which is based on artificial neural network (ANN), realizes the adaptive function of analyzing and updating the self-healing system logic in the grid automatically. Furthermore, the configuration design in a neural network mode makes the system have the parallel processing mechanism and the ability of learning and fault decision-making. The outlet of protection is transferred from the neural networks by adjusting the connecting weights. Therefore, the system can classify and recognize arbitrarily complex connecting mode and acting logic.