Slippage Detection System for Autonomous Machine Rerouting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to effectively address slippage conditions in machines traversing unpredictable roadways, which can cause machines to slip, get stuck, deplete energy, or crash, leading to increased time and costs, and machine disablement.
Innovation Solution
A slippage condition response system that includes a sensing system to detect slippage conditions, a locator to determine the machine's location, and a controller to monitor and transmit slippage events to an offboard system, enabling rerouting, warning operators, and autonomously controlling machines to avoid or repair slippage-prone areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If machines traverse unpredictable roadways without slippage detection, then operational simplicity is maintained, but machine reliability deteriorates due to slippage, getting stuck, energy depletion, or crashes
Solution Approach 1:
The system performs preliminary detection of slippage conditions by monitoring parameters before they lead to machine disablement. The controller continuously senses parameters indicative of slippage conditions and predicts potential slippage events, allowing the system to take preventive action (rerouting, warning operators) before the machine actually slips or gets disabled.
Solution Approach 2:
The system establishes a feedback loop where the controller monitors machine parameters, detects slippage conditions, transmits location information to offboard systems, and receives routing adjustments. This closed-loop feedback enables continuous improvement of machine reliability by learning from detected slippage conditions and adapting future routes to avoid similar hazards.
2Loss of time
If the system detects and transmits slippage locations to offboard systems, then machine downtime is reduced through proactive rerouting, but information processing requirements increase
Solution Approach 1:
The system extracts only the critical information needed for slippage detection and response - specifically parameters indicative of slippage conditions and machine location data. By taking out only these essential elements and transmitting only slippage location information to offboard systems, the system minimizes information processing requirements while still enabling effective proactive rerouting to reduce machine downtime.
3Productivity
If the system autonomously controls machines to avoid slippage-prone areas, then productivity is improved through continuous operation, but control system complexity increases
Solution Approach 1:
The offboard system performs preliminary analysis of detected slippage locations and calculates alternative routes before the machine needs to reroute. By pre-computing safe paths and providing routing adjustments in advance, the system enables autonomous avoidance of slippage-prone areas without requiring complex real-time control algorithms on the machine itself, thus maintaining productivity while limiting control system complexity.
Data Source
AI summary
A slippage condition response system for a first machine of a plurality of machines is disclosed. The response system may have a sensing system configured to sense a parameter indicative of a slippage condition of the first machine. Additionally, the response system may have a locator configured to sense a parameter indicative of a location of the first machine. The response system may also have a transmitter. In addition, the response system may have a controller, which may be in communication with the sensing system, the locator, and the transmitter. The controller may be configured to monitor the location of the first machine. The controller may also be configured to monitor the parameter indicative of a slippage condition of the first machine. Additionally, the controller may be configured to transmit to an offboard system at least one location where the first machine experienced a slippage condition.