Obstacle-Aware Road Treatment Control for Industrial Vehicles
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Solution Overview
Problem
Existing industrial vehicles lack the ability to automatically adjust road treatment parameters in response to changing morphological, environmental, and traffic conditions, leading to potential damage and inefficiencies during antifreeze and snowplowing operations.
Innovation Solution
A system equipped with GPS, inertial measurement units, speed detectors, and remote sensors that automatically adjust spreading and snowplowing parameters based on real-time road conditions, including obstacle detection, to ensure optimal operation and prevent accidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If predetermined spreading and snowplowing parameters are used, then the system is simple to operate, but the system cannot adapt to changing road conditions
Solution Approach 1:
The patent implements dynamic parameter adjustment by equipping the industrial vehicle with sensors (GPS, inertial measurement units, speed detectors, remote sensors) that continuously monitor road conditions and automatically modify spreading and snowplowing parameters in real-time, transforming the system from static to dynamic operation
Solution Approach 2:
The system establishes a feedback loop where sensors detect road conditions, the control unit processes this information, and adjusts operational parameters accordingly. This closed-loop control enables the system to respond to changing conditions while maintaining manageable complexity through automated decision-making
2Reliability
If manual adjustment of parameters is required, then the system remains simple, but operator errors and delayed responses occur
Solution Approach 1:
The system performs self-adjustment of spreading and snowplowing parameters by automatically detecting road conditions through sensors and modifying operational settings without operator intervention, thereby eliminating human error and response delays while maintaining system simplicity
Solution Approach 2:
The patent replaces manual mechanical adjustment with automated electronic control systems that sense road conditions and automatically regulate spreading rate, blade angle, and vehicle speed, substituting human operation with reliable automated mechanisms
3Object-affected harmful factors
If spreading width is reduced to avoid obstacles, then damage to parked cars is prevented, but treatment coverage decreases
Solution Approach 1:
The system dynamically adjusts spreading width based on real-time obstacle detection, automatically narrowing the spread pattern when obstacles are detected and restoring full width when the road is clear, thereby preventing damage while minimizing impact on treatment coverage
Solution Approach 2:
The patent applies localized parameter adjustment by modifying spreading characteristics only in specific zones where obstacles are detected, rather than uniformly reducing coverage across the entire route, thus maintaining high treatment efficiency while preventing damage in critical areas
4Reliability
If blade parameters are modified to avoid contact with obstacles, then accidents are prevented, but snow removal effectiveness is reduced
Solution Approach 1:
The system dynamically modifies blade parameters (lateral extension, working angle, height) in real-time based on obstacle detection, automatically adjusting to avoid contact while maintaining optimal snow removal configuration when the road is clear, thus preventing accidents without sacrificing overall productivity
Data Source
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AI summary
A method for controlling an industrial vehicle (1) comprising the steps of: detecting a physical feature (25) that determines a local narrowing or a widening of said road route; calculating treatment parameters of the road surface (9) adapted to be used in the presence of said physical feature; calculating an estimated time for reaching said physical feature; calculating a time interval value (tATT_MAX) required for a complete implementation of the second treatment parameters; and starting the implementation of the second treatment parameters at a time (dSP) that is equal to the estimated time excluding the time interval (tATT_MAX) of complete implementation.