Autonomous Bulldozer Blade Control for Precise Terrain Grading
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Solution Overview
Problem
Grading operations in construction, performed by human operators, face challenges such as safety risks, inefficiencies, and inaccuracies due to manual estimation of soil type, drainage angles, and groundwater levels, leading to potential structural damage and increased costs.
Innovation Solution
A computer-implemented method and system for controlling earth-moving vehicles (EMVs) using sensors and kinematic modeling to generate terrain maps and dynamically adjust blade depth for precise soil removal, enabling autonomous grading.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human operators perform grading operations manually, then operational flexibility is maintained, but safety risks increase and measurement precision deteriorates
Solution Approach 1:
The bulldozer performs grading operations autonomously using onboard sensors (LIDAR, cameras, GPS) and a control system that processes terrain data to automatically adjust blade depth and positioning, eliminating the need for human operators in hazardous environments while maintaining precise grading control
Solution Approach 2:
The patent replaces manual mechanical operation with an automated control system that uses optical sensors (LIDAR), imaging cameras, and GPS receivers to detect terrain features and automatically controls the blade mechanism, substituting human judgment and physical control with sensor-based detection and automated actuation
2Manufacturing precision
If human operators estimate soil type and drainage angles manually, then operational simplicity is maintained, but manufacturing precision deteriorates
Solution Approach 1:
The automated grading system divides the complex task of terrain assessment into separate functional modules: LIDAR for distance measurement and terrain mapping, cameras for visual documentation and feature recognition, GPS for precise positioning, and a control system for integrating data and executing blade adjustments, allowing each sensor to specialize in specific measurements
Solution Approach 2:
The control system serves multiple functions by processing data from diverse sensors (LIDAR, cameras, GPS) to perform terrain mapping, soil type classification, drainage angle calculation, blade depth control, and real-time adjustments, consolidating what would otherwise require separate specialized systems into a single multi-functional control unit
3Productivity
If manual grading operations are performed, then equipment complexity is reduced, but productivity decreases
Solution Approach 1:
The automated system enables continuous grading operations by continuously scanning terrain with LIDAR and cameras, processing terrain data in real-time to generate dynamic blade control commands, and automatically adjusting blade depth without interruption, eliminating the stop-start nature of manual operations and maintaining constant productive action
Solution Approach 2:
The system incorporates real-time feedback loops where sensors continuously monitor terrain conditions and blade positioning, the control system processes this data to determine optimal blade depth adjustments, and the blade mechanism automatically adjusts accordingly, creating a closed-loop control system that continuously optimizes grading performance based on actual terrain conditions
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
Enhances safety by reducing human error, increases productivity, and ensures accurate soil removal and grading, minimizing construction issues and operational risks.
Implementation Method 1
the sensors comprises a light detection and ranging (LIDAR) detector mounted on the EMV
Data Source
AI summary
Systems and methods of bulldozer planning and control are disclosed.