Roadwork Milling Rotor Scratch Height Detection Using Cameras
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Solution Overview
Problem
Existing roadwork machines require manual determination of the scratch position by an operator on the ground level, which is inefficient and lacks accuracy due to the need for additional personnel.
Innovation Solution
Incorporation of a camera and image processor to automatically detect the scratch height of the milling rotor by analyzing images captured by the camera, eliminating the need for a second operator on the ground.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual determination of scratch position by an operator on ground level is used, then the scratch position can be determined, but the operation requires additional personnel and reduces efficiency
Solution Approach 1:
The patent replaces the manual mechanical method of determining scratch position (operator physically positioning and measuring) with an automated optical measurement system using cameras and image processing algorithms. The system captures images of the milling rotor and roadway surface, then automatically calculates the scratch height through coordinate transformation and image analysis, eliminating the need for ground-level operators.
Solution Approach 2:
The system enables the cold planer to automatically determine its own scratch position without external assistance. The onboard cameras capture images, the control module processes the images to establish reference coordinates, and the system automatically calculates the scratch height, allowing the machine to self-calibrate and self-measure during operation.
2Measurement precision
If manual determination of scratch position is used, then the process is simple, but the accuracy of scratch position measurement is limited
Solution Approach 1:
The patent replaces manual visual estimation and physical measurement methods with an automated optical measurement system. Multiple cameras capture high-resolution images of the milling rotor and roadway surface, and image processing algorithms automatically identify key features (roadway surface, rotor position, reference marks) to calculate precise scratch coordinates, significantly improving measurement accuracy.
Solution Approach 2:
The system creates a digital copy of the physical measurement scenario by capturing images of the milling rotor and roadway surface. The control module processes these image copies to establish reference coordinate systems and calculate scratch position, allowing accurate measurement without direct physical contact or manual intervention at the measurement point.
3Productivity
If automated image processing system is implemented, then operational efficiency is improved, but the device complexity increases
Solution Approach 1:
The control module serves multiple functions: it controls the milling rotor operation, processes images from cameras, establishes reference coordinate systems, calculates scratch height, and provides real-time feedback for depth control. This multi-functionality consolidates what could be separate systems into a single integrated control unit, improving efficiency while managing complexity.
Solution Approach 2:
The patent introduces an image processing intermediary layer between the physical measurement scenario and the control system. Cameras capture images, the control module processes these images to extract geometric information and calculate scratch position, and then uses this information for control decisions. This intermediary approach automates the measurement process while keeping the control architecture manageable.
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
Enables accurate and automated determination of the milling rotor's scratch height, enhancing operational efficiency and reducing the need for manual intervention.
Implementation Method 1
The at least one camera can be configured to capture one or more images of the milling rotor
Implementation Method 2
The image processor may be configured to analyze the one or more images of the milling rotor captured by the at least one camera. The image processor may also be configured to determine a scratch height of the milling rotor based on one or more images.
Data Source
AI summary
A machine for roadwork can include a frame, a power source, and a milling rotor that can be operatively connected to the power source and the frame. The machine for roadwork can also include at least one camera and an image processor. The at least one camera can be configured to capture one or more images of the milling rotor. The image processor can be in communication with the at least one camera. The image processor may be configured to analyze the one or more images of the milling rotor captured by the at least one camera. The image processor may also be configured to determine a scratch height of the milling rotor based on one or more images. The scratch height can define a height of the milling rotor on condition that the milling rotor is in contact with a surface of the roadway.