Mobile Work Machine Weather-Adaptive Control for Safer Operation
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Solution Overview
Problem
Mobile work machines face operational challenges and safety risks due to varying weather conditions, which impact machine performance, worksite planning, and productivity, as existing systems lack effective mechanisms to adapt operations in real-time to changing weather states.
Innovation Solution
A worksite control system that utilizes weather data to generate a weather model, identifies corresponding actions through conditional rules, and generates control signals to adjust machine operations, including restricting movements or altering machine configurations to ensure safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time weather monitoring and adaptive control systems are implemented, then machine performance and safety are improved, but device complexity increases
Solution Approach 1:
The controller is designed to perform multiple functions: it monitors weather conditions through sensors, generates weather models, identifies worksite actions, and generates control signals. This multi-functionality consolidates what could be separate complex systems into a single integrated controller, improving reliability while managing complexity.
Solution Approach 2:
The system uses on-board sensors to autonomously monitor weather conditions and automatically adjusts machine operations without external intervention. The controller self-regulates by generating control signals based on real-time weather data, eliminating the need for constant operator input or external control systems.
2Productivity
If weather-based adaptive control is implemented, then productivity is improved through optimized machine usage, but device complexity increases
Solution Approach 1:
The controller proactively monitors weather conditions and predicts upcoming changes using weather models. By identifying worksite actions in advance and generating control signals before adverse conditions occur, the system optimizes productivity preemptively rather than reactively, managing complexity through forward-looking control.
Solution Approach 2:
The system continuously monitors weather conditions through sensors and uses this feedback to dynamically adjust machine operations. The controller compares actual weather data with weather models and modifies control signals accordingly, creating a closed-loop system that improves productivity while keeping complexity manageable through adaptive rather than purely reactive control.
Data Source
AI summary
A computer-implemented method includes obtaining a worksite condition corresponding to a worksite operation of a mobile work machine, generating a machine performance metric representing operational performance of the mobile work machine for the worksite operation, generating a machine impact metric based on a comparison of the machine performance metric and a base performance metric, generating a correlation between the machine impact metric and the worksite condition, and generating a machine control signal based on the correlation.