Introducing HxGN MineProtect VIS
Learn more about HxGN MineProtect VIS, a vehicle intervention system that detects and prevents collisions by automatically slowing down or even stopping a haul truck if an imminent collision is detected.
Ensure a safe working environment by taking appropriate corrective action based on data analytics from critical safety events. Analyze and compare information, such as locations, equipment, operators and frequency of events.
Mines are balancing increasing demands for productivity while trying to protect their employees and equipment. Vehicle collisions continue to cause equipment damage, injuries – even fatalities.
HxGN MineProtect Collision Avoidance System (CAS) and HxGN MineProtect Vehicle Intervention System (VIS) addresses this by automatically recognizing hazardous conditions. VIS takes control of a vehicle when an operator fails to respond to a CAS alert in certain situations. If an imminent collision is detected, VIS cuts vehicle propulsion, applies the retarder, or activates the service brakes.
HxGN Autonomous Mining VIS Analytics allows mines to analyze data from VIS events, including:
Using this data, mines can take appropriate corrective action to ensure a safe working environment. VIS data is reconciled and consolidated with related data so you can analyze and compare information such as locations, equipment, operators, and frequency of events.
Color-coded icons make it easy to visualize where VIS events are occurring. Equipment, date and time are now organized into VIS events. Plus, you can filter and search events. This can help identify trends that may be occurring with operators.
You can identify trends and correlations by turning on and off heat maps and cluster counts of MineProtect events. Corrective action based on meaningful data can help ensure a safer working environment for your people and equipment.
Review and manage VIS events by seeing previous hours or days of VIS events in the Site Map. Along with data from CAS analytics, you can evaluate the whole story around an operator’s driving behavior, determining trends and corrective action.