A computer system controls one or more vehicles operating in a confined geographical area. The computer system has processing circuitry to receive travel mission data for at least one vehicle of a plurality of vehicles within the confined geographical area, the travel mission data comprising at least data about an intended route for completing a transport mission; obtain real-time road condition data for the intended route; based on the obtained real-time road condition data, determine a drivability impact for the at least one vehicle intended to perform the travel mission along the intended route, the drivability impact being indicative of an estimated decrease in any one of a vehicle traction control level and an energy efficiency level; in response to the determined drivability impact, adapt any one of a driving mode and load capacity for the travel mission for the at least one vehicle; and control the at least one vehicle based on any one of the adapted driving mode and adapted load capacity for the travel mission.

A system and method for constructing a collaborative digital twin scene model for multiple underground robots belongs to the technical field of digital twin modeling for mines. The system includes a master robot i and sub-robots, both of which are connected to a main control module. The master robot i is equipped with a visualization module, a perception module, a computation module, and a communication module. The system and method for constructing a collaborative digital twin scene model for multiple underground robots is adopted to accurately measure and model the geometric and physical structures of tunnels. It enables the construction of a colored mesh map, which is further imported into Unity3D. Through this process, the pose transmission of the master robot i and the sub-robots within the UWB ranging range is realized, and the local colored mesh maps are stitched into a global colored mesh map.

The invention provides a smart mining exploration robotic system capable of detecting and mapping subsurface minerals through a synchronized integration of mechanical, electromechanical, and computational subsystems. The system features a modular chassis frame, a reconfigurable traction assembly capable of switching between wheel and track modes, a dynamically balanced suspension system, a sensor stabilization assembly employing a gimbal mechanism, and a synchronizing drive assembly that distributes mechanical motion among the propulsion, damping, and sensing components. A processing unit receives real-time mechanical state information and sensor data to produce terrain-referenced mineral maps with high spatial and temporal precision.

A work site management system includes: a traveling path generation unit that generates a traveling path; and a protection area setting unit that sets a protection area in which a target vehicle is to be present based on a position of a first unmanned vehicle traveling in a work site along the traveling path.

According to an example aspect of the present invention, there is provided a method including the steps of: assigning a set of obstacle analysis parameters for a mining vehicle, wherein the set of obstacle analysis parameters is specific to a portion of the mining vehicle; detecting, by an obstacle detection function of the mining vehicle, an obstacle candidate on the basis of processing scanning data from a scanner of the mining vehicle; performing an obstacle analysis on the basis of a determined size of the obstacle candidate and the set of obstacle analysis parameters assigned for the mining vehicle to classify the obstacle candidate and determine if the obstacle candidate is an obstacle to be avoided, and providing, in response to the obstacle analysis indicating that the obstacle candidate is an obstacle to be avoided, an alarm or control signal to avoid the mining vehicle hitting the obstacle.

A system and method for offboard monitoring are provided. The system may include a remote monitoring vehicle including one or more sensors, a drive mechanism for driving the remote monitoring vehicle; and a controller coupled to the one or more sensors and the drive mechanism. The controller may be configured to navigate the monitoring vehicle along a predetermined path of the industrial site; receive sensor data relating to an equipment; determine a state of the equipment based on the sensor data; determine whether the state of the equipment meets a threshold state for maintenance; and generate an alert indicating a maintenance event for the equipment when the state of the equipment meets the threshold state for maintenance.

Embodiments presented provide for an apparatus used for wellbore intervention, evaluation and stimulation. The apparatus provides a tractor mechanism, a power supply, tools and sensors used in evaluation and stimulation activities with hydrocarbon recovery operations.

Systems and methods for operating a mining machine with respect to a geofence. One system includes an electronic processor configured to determine a first virtual operation zone positioned around the mobile industrial machine, where the first virtual operation zone is a dynamic area around the mobile industrial machine. The electronic processor is also configured to modify a parameter of the first virtual operation zone.

According to an aspect, an apparatus may obtain map data associated with a tunnel system of an underground worksite, obtain a start position and an end position for a mining vehicle configured to operate in the tunnel system. The apparatus may further obtain vehicle information including at least kinematic restrictions and space restrictions associated with structural body members of the mining vehicle and a movable work device of the mining vehicle, the kinematic restrictions including movability limits of the movable work device, and determine at least partly based on the map data, the start and end positions, the vehicle information, and a collision free continuous route between the start and end positions for the mining vehicle. The collision free continuous route having at least one collision free position for the movable work device within the movability limits of the movable work device along the collision free continuous route.

An intelligent obstacle detection system for an unmanned mine vehicle is provided to solve the problem of existing intelligent obstacle detection systems for unmanned mine vehicles cannot compare and analyze the actual driving data with the preset data and includes an intelligent detection platform, a route planning device, an obstacle detection device, a planning management device, an operation monitoring device, and a storage device. The route planning device is configured to perform route planning analysis for the unmanned mine vehicle to obtain a planned route of the unmanned mine vehicle. The planned route is sent to the obstacle detection device. The intelligent obstacle detection system can plan and analyze the travel route. By locking onto starting and target positions of the unmanned mine vehicles, and then obtaining point cloud data through the detection terminals and calculating with algorithms, the optimal planned route can be determined.