基于粒子群算法的新能源集热系统物联网控制模型研究

Research on the Model of IoT Control Based on PSO for New Energy Collector System

探讨新能源集热系统中物联网智能节点的控制达到热量的动态优化问题。使用粒子群的新能源烘房集热系统不但有效减少了能源消耗和二氧化碳排放,而且快速地解决了烘房控制系统中各个子系统之间的协调问题。算例结果验证了该模型能够实时地根据当时的自然资源条件规律,选择最优的物联网智能节点,以实现系统最优的控制节点模型和最好的经济效益运行。

The control of the IoT （internet of things） intelligent nodes in the new energy collector system was probed in the paper to address the heat dynamic optimization. The new energy drying room collector system based on PSO （particle swarm optimization） could not only effectively reduce energy consumption and CO2 emission, but also quickly solve the problem of coordinating the subsystems of the drying room control system. The results verified that the model could select the optimal IoT intelligent node in real time according to the corresponding natural resources conditions so as to obtain the optimum control system and achieve the best economic operation.