Milling Drum Location Indicator for Obstacle Avoidance
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Solution Overview
Problem
Current methods for avoiding obstacles during road milling operations are inefficient and prone to human error, leading to inconsistent performance and increased costs due to the reliance on subjective judgments and manual communication, especially in challenging conditions like at night.
Innovation Solution
A system comprising a milling drum location detection system that determines the milling drum's location in an external reference system, compares it to the location of obstacles, and provides outputs to the operator or automatically controls the milling machine to avoid obstacles, using GNSS or other positioning systems for accurate navigation and obstacle avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual obstacle avoidance methods are used with ground operators and hand signals, then the system is simple and easy to operate, but the reliability and consistency of obstacle avoidance deteriorates due to subjective judgment and human error
Solution Approach 1:
The patent replaces the manual mechanical system of ground operators walking beside the machine and using hand signals with an automated electronic system. The system uses sensors (optical, acoustic, or other detection devices) mounted on the milling machine to automatically detect obstacles and generate warnings or control signals, eliminating the need for human visual inspection and manual communication while significantly improving obstacle avoidance consistency.
Solution Approach 2:
The milling machine performs obstacle detection and avoidance functions autonomously through the integrated sensor system and controller. The machine essentially monitors its own operational environment and takes corrective action (warnings or automatic control signals) without requiring external human intervention, making the system self-sufficient in avoiding obstacles.
2Reliability
If ground operators use hand signals for communication, then the system requires minimal equipment, but the reliability of communication deteriorates due to noise and adverse conditions especially at night
Solution Approach 1:
The patent replaces manual hand signal communication with an automated electronic communication system. The sensor system detects obstacles and automatically generates electronic warnings or control signals that are transmitted to the operator through reliable electronic channels (visual displays, auditory alarms, or automated control systems), eliminating the unreliability of hand signals in noisy or dark conditions.
Solution Approach 2:
The patent introduces an electronic intermediary system between the obstacle detection function and the operator. Instead of direct human-to-human communication via hand signals, the system uses electronic sensors and signal generators as intermediaries to convey obstacle information to the operator, ensuring reliable communication regardless of environmental conditions.
3Measurement precision
If the ground operator must determine drum location using pictorial charts and bolts, then the system is simple, but the measurement precision of drum location deteriorates
Solution Approach 1:
The patent replaces the manual visual estimation method using pictorial charts and bolt references with an automated sensor-based detection system. The system uses optical sensors, acoustic sensors, or other detection devices to precisely measure the location of the milling drum relative to obstacles, providing accurate real-time data to the controller for improved obstacle avoidance precision.
Data Source
AI summary
A construction machine apparatus includes a plurality of ground engaging supports, a machine frame supported from the ground engaging supports and a milling drum supported from the machine frame. A milling drum location detection system is configured to determine a drum location in an external reference system. A location indicator system includes a memory configured to store information identifying a location of one or more areas to be avoided in the external reference system, and a controller configured to compare the drum location to the location of the one or more areas to be avoided, and to provide an output corresponding to a proximity of the milling drum to the location of the one or more areas to be avoided.