Automotive Milling Machine Image Fault Detection
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Solution Overview
Problem
Automotive milling machines face challenges in coordinating with transport vehicles due to operator distraction from controlling the milling process, managing the transport conveyor's slewing and elevation angles, and dealing with environmental disturbances affecting the image-recording system's reliability.
Innovation Solution
Incorporating an analysis device within the detection and control unit that monitors image pixels for faults, generates warning or control signals for errors, and includes a frozen-image detection device to ensure continuous and accurate discharge of milled material onto transport vehicles, while also addressing glare and sensor position changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the operator manually controls the milling operation and transport conveyor coordination, then the milling process can be monitored, but the operator becomes distracted and stressed from managing multiple tasks simultaneously
Solution Approach 1:
The transport conveyor is equipped with sensors and control systems that enable it to automatically adjust its position, speed, and discharge angle to match the milling machine's operation, eliminating the need for manual coordination by the operator
Solution Approach 2:
The system uses sensors to continuously monitor the position and operation of both the milling machine and transport conveyor, with the control system processing this data to automatically adjust parameters and maintain optimal coordination between the two devices
2Measurement precision
If the image-recording system is used to automatically control the discharge position, then positioning accuracy is improved, but the system becomes vulnerable to environmental disturbances such as glare and weather conditions
Solution Approach 1:
The control system acts as an intermediary between the image-recording system and the transport conveyor, incorporating additional sensors and processing algorithms to filter out environmental disturbances and validate image data before executing control commands
Solution Approach 2:
The system includes redundant sensing capabilities and pre-programmed fallback procedures that activate when environmental conditions degrade image quality, ensuring continuous reliable operation without complete dependence on the image-recording system
3Measurement precision
If the transport conveyor is slewed and adjusted in height to position the loading surface, then the loading position can be optimized, but the complexity of coordinating multiple parameters increases
Solution Approach 1:
The control system integrates multiple control functions (slewing, height adjustment, speed control) into a single automated system that manages all parameters simultaneously based on unified feedback from sensors, eliminating the need for separate manual adjustments of each parameter
Data Source
AI summary
In an automotive milling machine, comprising a machine frame, comprising a controller for the travelling and milling operation, comprising a working drum, comprising a transport conveyor slewable relative to the machine frame, where the transport conveyor discharges the milled material onto a point of impingement on a loading surface of different transport vehicles, where the controller comprises a detection and control unit which monitors the alterable position of the loading surface of the transport vehicle by an image-recording system comprising no less than one sensor which continuously generates no less than one digital image of, as a minimum, the loading surface, it is provided for the following features to be achieved: the detection and control unit comprises an analysis device which detects faults or errors in the image generated by the no less than one sensor.