Remote Temperature Control Strategy of Multi-energy Heat Collection Based on the Internet of Things

Abstract

With the continuous development of the Internet of Things (IoT) and new energy utilization technology, the energy management and monitoring mode has undergone fundamental changes. Design and development of remote real-time monitoring and management system for multi-energy heat collection has certain theoretical and practical application value. The existing remote temperature control model fully considers neither the impact of multi-energy collaborative heat collection on remote temperature control strategy, nor the interactions among multiple objective factors, such as climate and location. Therefore, this paper studied the remote temperature control strategy of multienergy heat collection based on the IoT. First, the paper gave the application architecture of multi-energy heat collection system functions, and developed a multi-energy heat collection system model without simulation performance loss using stochastic modeling ideas. Second, this paper made full use of the error information of the process, thus correcting the predicted value of the remote temperature control output. Finally, the experimental results verified the effectiveness of the model and the control strategy.