Unmanned Mine Vehicle Obstacle Detection With Route Deviation Feedback
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Solution Overview
Problem
Existing intelligent obstacle detection systems for unmanned mine vehicles cannot compare and analyze actual driving data with preset data, leading to potential safety hazards due to inadequate route adjustments.
Innovation Solution
An intelligent obstacle detection system for unmanned mine vehicles that includes an intelligent detection platform, route planning device, obstacle detection device, planning management device, and operation monitoring device, utilizing millimeter radars, lidars, cameras, and algorithms to analyze and manage driving data for real-time obstacle detection and route optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If preset route optimization based on real-time obstacle detection is used, then driving safety is improved, but the system cannot compare and analyze actual driving data with preset data, resulting in safety hazards
Solution Approach 1:
The patent implements a feedback mechanism where actual driving data is continuously collected during vehicle operation, compared with preset route data, and used to optimize future route planning. The planning management device analyzes the differences between actual and preset driving parameters, feeding this information back to improve the preset route database, thereby resolving the contradiction between maintaining safety and enabling data analysis.
Solution Approach 2:
The system performs preliminary data collection and analysis by establishing a database of preset route information before actual driving operations. This preliminary action enables the system to have reference data ready for comparison with actual driving data, allowing meaningful analysis and optimization to occur during and after driving operations.
2Measurement precision
If multiple millimeter radars and detection devices are deployed, then obstacle detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent divides the detection system into multiple specialized millimeter radar units, each responsible for specific detection tasks such as obstacle detection, distance measurement, and speed detection. This segmentation allows the system to achieve high detection accuracy through multiple specialized sensors rather than one complex sensor, managing complexity through functional division.
Solution Approach 2:
The patent combines multiple detection devices including millimeter radars, lidars, and cameras into an integrated detection system that shares common processing resources and data fusion algorithms. This merging approach achieves comprehensive detection accuracy while reducing overall system complexity through resource sharing and coordinated operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures driving efficiency and safety by planning optimal routes, detecting obstacles in real-time, managing route deviations, and monitoring vehicle operations, thereby enhancing the stability and adaptability of unmanned mine vehicles.
Implementation Method 1
perform, through multiple millimeter radars disposed in a front of the unmanned mine vehicle, a real-time obstacle analysis during the movement of the unmanned mine vehicle
Implementation Method 2
collect point cloud data of the travel routes from detection terminals including lidars and cameras
Data Source
AI summary
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.