Drowsiness Detection for Mine Vehicle Safety
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Solution Overview
Problem
In surface mines and similar sites, operators of large and difficult-to-control vehicles with limited visibility may become fatigued, posing risks to safety due to reduced control over their vehicles, potentially leading to collisions with other persons or objects.
Innovation Solution
A drowsiness detection system is implemented in movable objects, comprising sensors and an evaluation module that monitor the operator's drowsiness state and transmit data to a remote monitoring system, which can issue warnings and adjust detection parameters based on location and time, to enhance safety supervision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operators continuously monitor and control large vehicles in surface mines, then vehicle operation and site productivity are maintained, but operator fatigue leads to loss of control and safety risks
Solution Approach 1:
The patent introduces a monitoring system as an intermediary between the operator and the vehicle control system. This system continuously assesses operator alertness through sensors (detecting eye closure, head position, steering inputs) and intervenes by issuing warnings or automatically controlling the vehicle when drowsiness is detected, thereby maintaining safety without requiring continuous active operator engagement
Solution Approach 2:
The monitoring system enables the vehicle to self-monitor operator state and self-correct dangerous situations. The system automatically detects drowsiness through various sensors and can trigger warnings or take control of vehicle functions without external intervention, allowing the operational system to service its own safety requirements
2Reliability
If drowsiness detection systems are implemented in movable objects, then operator safety is improved, but system complexity and cost increase
Solution Approach 1:
The patent employs sensors and systems that serve multiple functions: cameras detect both operator drowsiness and potential collision risks, steering input sensors monitor both driver engagement and vehicle control status, and head position sensors assess both alertness and potential distraction. This multi-functionality reduces the need for dedicated single-purpose sensors, thereby limiting complexity growth while improving safety
Solution Approach 2:
The system continuously monitors operator state and provides immediate feedback through warnings to the operator. This closed-loop feedback mechanism allows the system to maintain safety with relatively simple detection components, as the real-time feedback enables early intervention before complex failure modes develop
Data Source
AI summary
In a system for supervising the safety on a site with at least one movable object, a drowsiness detection system is arranged at the movable object for supplying data related to a drowsiness state of an operator of the movable object. A monitoring system remote from the movable object receives the drowsiness state related data and logs and/or evaluates this drowsiness state related data.