A scheduling system that performs task decomposition and multi-device collaboration. Through the core algorithm, the operation requirements are converted into task combinations and combined with equipment control to maximize the operation efficiency. At the same time, the simulation and digital twin models are configured in the system to automatically match the attributes and characteristics of different equipment, so as to realize the optimal scheduling of the global equipment layer in terms of efficiency, stability, and safety.

It can flexibly combine a variety of equipment, and realize the fastest operation, intelligent avoidance and intelligent charging bottom-level dispatching system through independent optimal path planning. Built-in advanced path planning algorithm and central path arbitration mechanism, recursively optimize the path based on the actual driving situation of the vehicle and road congestion, the arbitration center can generate intelligent avoidance and intelligent charging strategies based on the current position of the vehicle, task priority, power and other information sorting .

As a visualization system for real-time data collection, data communication, equipment control, and operation and maintenance monitoring. Using 3D model construction, artificial intelligence, and big data analysis technology, it realizes functions such as centralized data storage, task emergency warning, predictable maintenance, equipment control, and supervision.