In order to solve the problems of insufficient intelligence, thermal imbalance and high energy consumption of the heating system in Shuangxin coal mine, this study constructed an intelligent heating supply control system driven by the Internet of Things. By integrating the feedback control of the return water temperature and the dynamic balance technology of the secondary network, an intelligent control algorithm based on the thermodynamic balance model was developed: the Internet of Things temperature control valve was deployed in the return pipeline, and a closed-loop control system with the return water temperature as the core index was constructed. Intelligent algorithms are used to optimize the hydraulic balance of the pipe network, and real-time monitoring and dynamic adjustment of heating parameters are realized by combining wireless communication technology. The engineering application shows that after the system transformation, the backwater temperature of key buildings (East Warehouse, Consortium Building, and Training Base) is stable at more than 45°C, the backwater temperature deviation of the whole network is controlled within ±2°C, and the balance of the pipe network is good. The comprehensive energy saving rate of the system reaches 50%. The research confirms that the multi-parameter coupling control mechanism optimizes the heating energy efficiency through the closed-loop of "perception-decision-execution", realizes accurate control of energy consumption while ensuring the quality of mine heating, and provides an economical and environmentally friendly solution for the upgrading of mine heating system in cold areas.