Plan-Designing And Path-Planning Research Based On Bayesian Net And Ant Colony Algorithm For Power Transmission Lines Patrol Inspection System

The key energy of current nation was loaded on the power transmission lines network which is not only relate to the country's economic development, but also vitally related with national security.?But the power transmission lines are exposed to the wild perennially, so it is easy to have failures. Electric power transmission lines patrol inspection is a basic work which effectively guaranteeing the safety of? the electric power system. The original power transmission lines patrol inspection can not accurately reflect the state of the electrical transmission line'running state duly and accurately, because of the limitation in current management and technically, it is very disadvantage for guaranteeing the power transmission lines system running steadily.?Therefore, to research and development of advanced intelligent patrol inspection management methods, promptly identify problems, which will help improve the power transmission lines operating in security and reliability, and it could reduce the intensity of planning the work of patrol inspection managers , but also improves the level of scientific decision-making. These are important value and practical significance for the development of transmission lines patrol inspection system.This thesis is based on power transmission lines patrol inspection system, and the paper mainly researches on path-planning based on Bayesian inference and Self-adapted Ant Colony algorithm for simulated inspector's path-planning, the major contents of the research presented in this thesis are as follows:Firstly, this paper totally introduces the present condition of power transmission lines patrol inspection mechanism, and then particularly analyzes the impact factor of fault in power line, and the shortage of patrol inspection mechanism. These works made an important basis for the research on path-planning in the thesis.Secondly, for the shortage of existing situation on power transmission lines patrol inspection, this thesis make an Feasibility Analysis about the usage of data mining in this system, and design a new framework about this system.Then, algorithm of the power transmission line running state assessment based on Bayesian Network is discussed and its model is established. The result is analyzed by Matlab 6.5. Finally,?on the basis of global path-planning, this thesis adopting Self-adapted Ant Colony Algorithm to solve the local path-planning in order to take account of the power transmission line's running state. And the simulation result shows that the algorithm is effective.This system designed in this thesis, using advanced planning algorithm as a guide, combining with present information management systems of electric company, makes some contribution to the patrol inspection and the improvement of the electric management level.