Graphical Topology Autonomic Identification Method for Human-Machine Interface Modelling Based on Quadratic Space Mapping

Abstract

To realize a computerized autonomous recognition of human-computer interface graphics and autonomously interface an interface graphic model with a simulation analysis program of a systems operation, a human-computer interface topology identification algorithm based on quadratic space mapping (QSM) is proposed, which includes three mapping spaces and two mapping methods. The three mapping spaces are defined as the interface modelling graphics space, the primitive information space and the abstract topology space. The first mapping method uses hierarchical topology mapping based on coordinate properties, and the second uses abstract topology mapping based on breadth first search. The QSM algorithm converts a visual graphical physical model on a human-machine interface into a computer-recognizable abstract model. Then, a simulation analysis of the system is performed automatically by a computer using the converted abstract model. Finally, taking the distribution network system as an example, the proposed topology recognition algorithm realizes the conversion of the interface modelling graph to the abstract model of the distribution network. Furthermore, the simulation of the power flow algorithm is performed by interfacing perfectly with the abstract model, and the feasibility and practicability of the algorithm are verified.