Remote Engine Speed Planning From Control-Node Rulesets
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Solution Overview
Problem
Current remote-controlled vehicle systems lack the ability to dynamically determine and adapt to changing conditions for optimal control speed, relying on manual operator input that is inefficient and unable to capitalize on potential time-saving opportunities.
Innovation Solution
A system that generates a control speed plan based on rulesets applied to control nodes within a viewing window, dynamically adjusting to changing conditions and optimizing speed profiles for remote-controlled vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual operator input is used to determine control speed, then the system is simple to operate, but the system cannot dynamically adapt to changing conditions and loses potential time-saving opportunities
Solution Approach 1:
The remote-controlled vehicle system automatically determines its own control speed by applying rulesets to control nodes within a viewing window, eliminating the need for continuous manual operator input. The system serves itself by autonomously optimizing speed based on real-time operating conditions while maintaining the ability to be overridden by operator input when needed.
2Productivity
If the viewing window is expanded to include more control nodes, then the system can anticipate future conditions and optimize speed further, but the computational complexity and data processing requirements increase
Solution Approach 1:
The system applies rulesets to control nodes within the viewing window in advance to determine optimal control speeds before actually reaching those points. By anticipating future operating conditions and pre-calculating speed adjustments, the system optimizes productivity without requiring complex real-time computations during critical speed transitions.
3Extent of automation
If the system automatically determines control speed without operator input, then time-saving opportunities are captured, but the operator loses direct control over the vehicle speed
Solution Approach 1:
The system continuously monitors operating conditions and automatically adjusts control speed based on ruleset evaluations, providing time-saving automation. Simultaneously, the operator retains the ability to override automatic control and manually specify speed values, ensuring operator authority is maintained. This feedback loop allows the system to adapt to conditions while respecting operator intent.
Data Source
AI summary
Methods and systems for selection of a control speed for a remote-controlled vehicle based on rulesets applied to control nodes within a viewing window. In embodiments, a viewing window including control nodes, each having a having ruleset defining operating conditions associated therewith, may be determined. The ruleset for a control node may define operating limitations (e.g., speed limitations, orientation limitations, etc.) at the control node. In embodiments, a control speed plan for the viewing window may be generated based on the operating conditions for each control node within the current viewing window based on the limitations associated with each control node. The control speed plan may include an optimal control speed at each control node within the viewing window and a speed profile indicating an acceleration or deceleration curve to be followed through each of the optimal control speeds in the control speed plan when executing the control speed plan.