基于最小二乘理论的供热系统阻力特性辨识方法研究

he identification mathematic model of resistance coefficient of heat-supply networks is established based on the least square theory. The identification problem is changed into non-linear optimal problem by this model. Based on the improved genetic algorithm and the ant algorithm that fits continuity space optimization, this new mixing algorithm improves computing efficiency. The optimal arrangement method of flow measuring points and pressure measuring points, which reflect the change of resistance coefficient of networks, is put forward based on the fuzzy clustering theory. An example is shown to introduce the optimal method in detail, which aims at identification of resistance coefficient of networks and reflects the flow and pressures that character the resistance coefficient of networks. The superiority of the new algorithm is proved.