Work Machine Positioning With GNSS Weak-Zone Beacon Placement
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Solution Overview
Problem
Existing self-propelled work machines face challenges in improving work efficiency due to limitations in accurately specifying their self-position, particularly in areas with low GNSS signal detection intensity.
Innovation Solution
A work machine equipped with a GNSS sensor, a beacon signal detection sensor, and a system controller that specifies regions with low GNSS accuracy and notifies users to install beacons, allowing the machine to accurately specify its position and perform work efficiently across the work region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the work machine relies solely on GNSS sensor for position specification, then the device complexity is reduced, but the measurement precision of self-position deteriorates in regions with low GNSS signal detection intensity
Solution Approach 1:
The patent combines GNSS sensor and beacon signal detection sensor into a unified position specification system. The controller integrates data from both sensors to determine self-position, allowing the system to leverage strengths of each sensor type and maintain high accuracy across different signal environments without substantially increasing complexity.
Solution Approach 2:
The beacon signal acts as an intermediary to enhance position specification accuracy in areas where GNSS signals are weak. The beacon receiver detects signals from beacons positioned in the work area, providing supplementary positioning information that mediates the deficiency of GNSS in low-signal regions.
2Measurement precision
If beacons are installed throughout the entire work region, then the measurement precision of self-position is improved, but the loss of substance and installation cost increase
Solution Approach 1:
The patent implements local quality by strategically positioning beacons only in specific areas where GNSS signal detection intensity is below the threshold. This targeted approach ensures high position accuracy is achieved precisely where needed, rather than uniformly across the entire work region, thereby reducing the total number of beacons required.
Solution Approach 2:
The system performs preliminary assessment of GNSS signal detection intensity across the work region before beacon installation. By pre-identifying areas with insufficient GNSS signals, the system can plan optimal beacon placement in advance, minimizing the number of beacons needed while ensuring coverage of all critical low-signal zones.
3Measurement precision
If the work machine uses multiple sensor types for position specification, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The controller is designed with multi-functionality to handle both GNSS positioning and beacon-based positioning, as well as hybrid operation. This universal controller manages different sensor inputs and operating modes without requiring separate dedicated systems, thereby improving measurement precision while controlling device complexity through integrated design.
Data Source
AI summary
A work machine which includes a GNSS sensor that detects a GNSS signal and a beacon signal detection sensor that detects a signal of a beacon, and which is a self-propelled work machine that performs work in a work region based on results of detection by the GNSS sensor and the beacon signal detection sensor, the work machine comprising a specification unit configured to specify a region in which accuracy of specifying a self-position of the work machine based on the GNSS sensor is lower than a reference in the work region, and a notification unit configured to notify a user of an installation position of a marker based on a result of specification by the specification unit.