Research and Implementation of Consistency in Remote Control Systems for Heterogeneous Terminal Device Groups

The rapid development of IoT and cloud computing technologies has led to the widespread application of heterogeneous terminal groups in remote control systems, but it faces challenges such as protocol compatibility, environmental adaptability, and data consistency. This paper proposes a hybrid architecture control framework that integrates dynamic resource scheduling algorithms and protocol conversion middleware to establish multidimensional data synchronization models and virtual clock synchronization techniques, ensuring system state consistency. Improved distributed consensus protocols, blockchain technology for tamper-proof mechanisms, and intelligent scheduling models based on QoS constraints achieve resource optimization and real-time control. Experiments demonstrated that this mechanism reduced protocol conversion time by 20% and improved resource utilization by 15% in smart grid and multi-robot scenarios, while maintaining robustness under extreme network conditions.