Mine Collision Event Mapping for Operator Attention Control
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Solution Overview
Problem
Existing mine operation monitoring systems struggle to effectively detect and manage collision detection and avoidance events in complex mine environments, leading to potential safety hazards and operational inefficiencies.
Innovation Solution
A collision detection and avoidance system that receives mine operations data, processes it to detect critical events, maps these events to a mine model, and generates an operator attention indicator based on event density and criticality, allowing for real-time adjustment of mine operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all mine operations data from multiple data sources are collected and displayed in the user interface, then complete information is provided to operators, but the information becomes overwhelming and difficult to process
Solution Approach 1:
The system segments the overwhelming mine operations data into distinct categories (collision detection events, operational status, environmental data) and prioritizes them by importance. Critical collision events are separated and highlighted separately from routine operational data, allowing operators to focus on safety-critical information while still having access to complete data through structured organization.
Solution Approach 2:
The system extracts and isolates critical collision detection events from the general stream of mine operations data. By taking out only the most important safety-related events and presenting them prominently in the user interface, the system prevents information overload while ensuring that operators receive immediate attention to critical situations.
2Reliability
If the affected location area is defined with a large predetermined radius to ensure all potential collision risks are captured, then safety coverage is improved, but the complexity of analyzing and managing events in the affected area increases
Solution Approach 1:
The system dynamically adjusts the analysis and management approach based on the number of events detected within the predetermined radius. When multiple events are present, the system prioritizes them by criticality and provides structured guidance to operators, rather than attempting to manage all events uniformly. This dynamic response strategy maintains comprehensive safety coverage while managing analytical complexity through adaptive prioritization.
3Measurement precision
If the predetermined radius for affected location area is increased to capture more potential collision events, then detection coverage is improved, but the density of events in the affected area increases making analysis more difficult
Solution Approach 1:
The system applies different analysis and visualization qualities to different regions within the affected location area based on event density and criticality. Areas with high event density or critical events receive enhanced visualization and prioritized analysis, while areas with lower event density use standard monitoring. This local differentiation maintains comprehensive detection coverage while reducing overall analytical difficulty by focusing detailed analysis only where necessary.
Data Source
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AI summary
There is provided a method, comprising: receiving mine operations data from a set of data sources in a mine, the mine operations data, processing the mine operations data to detect a set of events meeting at least one operator attention triggering condition, mapping the set of events to a mine model on the basis of location information associated with the events in the set of events, determining an affected location area of the set of events mapped to the mine model, generating an operator attention indicator dependent on density of events in the affected location area for display for the set of events in the affected location area in the mine model to an operator to adjust operation of one or more mine operations devices.