Remote Machine Traction Slip Detection From Speed Mismatch
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Solution Overview
Problem
Remotely operated or autonomous mobile machines face challenges in identifying traction reduction due to ground surface conditions, as remote operators may not detect severe conditions like loose or wet surfaces in time, leading to potential machine stalling or damage.
Innovation Solution
A system and method that include a traction device, drive system, and positioning system for mobile machines, which detect slippage by comparing target and actual speeds, providing an initial indication of slippage and preemptively alerting operators to excess traction reduction before it becomes critical, allowing for corrective action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If remote operators control mobile machines without physical presence in the cab, then operator safety is improved and operational flexibility is enhanced, but the ability to detect ground conditions causing traction reduction deteriorates
Solution Approach 1:
The system continuously monitors the difference between commanded speed and actual speed, providing real-time feedback to the remote operator when slippage is detected. This feedback loop enables the operator to sense ground conditions indirectly through speed discrepancy data, compensating for the lack of direct visual observation available to in-cab operators.
Solution Approach 2:
The control system acts as an intermediary between the machine's motion system and the remote operator. It translates physical ground conditions into measurable speed discrepancies and presents this information to the operator, serving as a sensory extension that bridges the gap between remote operation and ground condition awareness.
2Measurement precision
If operators rely on visual observation to detect ground conditions, then detection accuracy is improved for visible conditions, but detection capability deteriorates for hidden conditions like loose or wet surfaces
Solution Approach 1:
The machine itself generates the detection data through its own operational parameters. By monitoring its own commanded versus actual speed, the machine autonomously identifies traction reduction without requiring external sensors or operator observation, enabling detection of all ground conditions regardless of visibility.
3Speed
If corrective action is taken only after significant traction loss is detected, then response time is reduced to critical thresholds, but machine damage or stalling occurs before correction
Solution Approach 1:
The system performs preliminary detection of traction reduction by identifying small speed discrepancies before they develop into significant slippage. By detecting initial indications of traction loss and alerting the operator early, the system enables preventive action that maintains machine operational continuity and avoids stalling or damage.
Data Source
AI summary
A system identifies traction reduction of a mobile machine at a worksite. The mobile machine include a traction device for engaging a ground surface, a drive system for commanding a target speed of the mobile machine, and a positioning system for detecting an actual speed of the mobile machine. The system includes a remote control site for transmitting commands to the mobile machine, and a controller for detecting slippage of the traction device due to a traction-reducing condition of the ground surface. The controller is configured to determine an initial indication of slippage of the traction device based on a difference between the target speed and the actual speed. The initial indication of slippage is less than a predetermined allowable loss of traction.