HUAZHI

Smart Mine Solutions

Relying on the forward design of L4 level self-driving new energy mining wide-body vehicle, and with centralized control, intelligent scheduling, visual display function of the cloud control platform, to create a "vehicle cloud collaboration" intelligent mine transportation scheme, to achieve "loading-unloading" between end-to-end efficient operation, to help the mine to reduce cost and increase safety.

Platform advantages

Adapt to operating conditions


Adapt to the operating conditions and realize the safe operation of the existing road conditions and vehicles under mixed running.

Simplify job interactions


Simplify job interaction and optimize the execution efficiency of human-computer interaction and shovel interaction

Reduce network dependency


Reduce network dependency and support incomplete coverage of high-bandwidth networks at the bottom of the pit

Cut operation and maintenance costs


Reduce O & M costs and ease the need for system maintenance and operations and scheduling personnel

Response Programme

Provide a full-stack self-research mine driverless solution, the vehicle end intelligently realizes real-time environment perception mapping and flexible operation planning control, the cloud intelligently realizes fleet cluster control scheduling and user-friendly operation operation, and realizes safe, collaborative and efficient operation.

Core Competence 1


Multi-mode perception fusion at the vehicle end, real-time mapping, adaptive planning, no fixed shovel, fast shovel movement.

Core Competence 2


The vehicle is highly reliable, perceived high redundancy, wire control high durability, long-term operation and less maintenance.

Core Competence 3


Strengthen road perception, active obstacle avoidance, dynamic collision avoidance, and efficient mixed operation of the fleet.

Core competencies 4


Adaptive network flow control, V2V interconnection, hierarchical communication strategy, off 5G to maintain operation.

Core competencies 5


Extensive vehicle access, overall scheduling, full tracking, dynamic planning, to avoid congestion.