Mining Vehicle Obstacle Detection Control
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Solution Overview
Problem
Mining vehicles on curved roads often erroneously detect roadside obstacles due to inadequate recognition of their surroundings, leading to unnecessary speed reduction and reduced transportation efficiency.
Innovation Solution
A mining vehicle equipped with a distance detector, minimum roadside distance calculator, state quantity sensor, and vehicle speed controller that adjusts speed based on the vehicle's traveling status and calculated roadside distance to prevent erroneous obstacle detection, ensuring stable speed control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the radar device detects obstacles on curved roads, then obstacle detection capability is improved, but erroneous detection of roadside objects increases
Solution Approach 1:
The patent applies local quality by making the detection region dynamic and location-specific. Instead of using a fixed detection region, the system calculates and adjusts the detection region based on the vehicle's current position (linear or curved section) and turning radius. This allows the detection region to have different characteristics (size and shape) at different locations, improving accuracy while avoiding erroneous detections of roadside objects.
Solution Approach 2:
The patent implements dynamics by making the detection region adaptable and changeable in real-time. The detection region is dynamically adjusted based on the vehicle's traveling status, including whether the vehicle is on a linear or curved section and the calculated turning radius. This dynamic adjustment allows the system to optimize detection performance for current conditions while avoiding false detections.
2Reliability
If the vehicle speed is reduced to avoid obstacles, then safety is improved, but transportation efficiency deteriorates
Solution Approach 1:
The patent applies feedback by continuously monitoring the vehicle's traveling status (position, speed, direction) and using this information to dynamically adjust the detection region. The system receives feedback from sensors about the vehicle's state and the detected objects, then adjusts the detection parameters accordingly. This feedback loop ensures that speed reduction only occurs when truly necessary, maintaining safety while avoiding unnecessary efficiency losses.
3Area of stationary object
If the detection region is expanded to cover curved roads, then detection coverage is improved, but false detection of roadside objects increases
Solution Approach 1:
The patent applies local quality by making the detection region dynamic and location-specific. Instead of using a fixed detection region, the system calculates and adjusts the detection region based on the vehicle's current position (linear or curved section) and turning radius. This allows the detection region to have different characteristics (size and shape) at different locations, improving accuracy while avoiding erroneous detections of roadside objects.
Solution Approach 2:
The patent implements preliminary action by calculating the vehicle's turning radius and determining the appropriate detection region before performing obstacle detection. The system proactively adjusts the detection parameters based on predicted vehicle behavior and road geometry, preventing false detections before they occur rather than correcting them after detection.
Data Source
AI summary
A mining vehicle is provided, which is capable of appropriately recognizing a condition of a traveling road in front of the vehicle, preventing an obstacle on a roadside from being erroneously detected by a distance detector, and controlling the speed of the vehicle in a stable manner even when the vehicle is approaching a curved portion of the road from a linear portion of the road.The mining vehicle that travels on a transport road of a mining site includes: a minimum roadside distance determining unit; a traveling status calculator configured to calculate traveling status of the vehicle and a turning radius of the vehicle; a roadside distance calculator configured to calculate a roadside distance between the vehicle and a roadside of the transport road; a roadside distance selector configured to select and output a minimum roadside distance if the vehicle is in a rectilinearly traveling state and select and output the roadside distance calculated with the roadside distance calculator if the vehicle is in a turning state; a detected distance limiter configured to disable a signal representing the distance, detected with the distance detector, between the vehicle and the object and the relative speed if the distance between the vehicle and the object is larger than a distance represented by a signal selected and output from the roadside distance selector; and a vehicle speed controller configured to control the speed of the vehicle on the basis of a signal output from the detected distance limiter.