The Research Of Intelligent System Of Centralized Heating

Based on the practical condition of the heating distribution network in Beijing city, this paper systematically discusses the application of the neural network in the field of heating burden prediction and dispatching, include:Based on city heating system, systematically analyzing the current condition of the heating system in our city and the development of the international heating technique, discussing the tendency in the field of the domestic heating system. At the same time, constructing a heating model characterized by distribution, ranking structure, intelligentized and favorable practicability and reliability, which adapts to the situation of our city and greatly enhances the level of automation and energy saving.Developing the PM-RBF algorithm by using neural network which adapts to the prediction of the heat burden. By simulating experiment, the algorithm has favorable precision and speed of prediction, solving the prediction problem of the heating system and providing the basis for optimization and dispatching of the system.Based on the given model of the heating system, putting up the mathematic model of the optimization and dispatching of the system. In the aspect of the mathematic model, the system belongs to the field of non-linearity optimization of complex system. Because the great complexity of the problem, this paper discusses the optimization method for the model by using the genetic algorithm. At the same time, providing the method for some limits of the algorithm.