Work Machine Control System Using Map Matching for GPS Accuracy
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Solution Overview
Problem
Work machines in mines may stop operating due to decreased accuracy in position detection using global navigation satellite systems, leading to decreased productivity.
Innovation Solution
A work machine control system that includes a position detection unit, a non-contact sensor, and a control unit to exclude information on terrain changes and objects within a predetermined mask region, allowing the system to maintain accurate navigation and operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GPS-based position detection is used for autonomous navigation, then navigation capability is provided, but position detection accuracy decreases when ionospheric abnormalities occur
Solution Approach 1:
The patent introduces map information as an intermediary between the GPS position detection and the navigation control. When GPS accuracy deteriorates due to ionospheric abnormalities, the system uses pre-stored map information containing terrain features and road geometry as a reference framework to maintain accurate position estimation and navigation, thus resolving the contradiction between maintaining navigation capability and dealing with reduced measurement precision
Solution Approach 2:
The system continuously compares real-time GPS detection results with map information to assess position accuracy. When accuracy falls below a threshold (indicating ionospheric interference), the system switches to using map-matching algorithms that leverage the known road network geometry to correct position estimates, providing a feedback-based adaptation that maintains navigation reliability despite degraded GPS performance
2Adaptability or versatility
If terrain change portions are included in detection data, then comprehensive object detection is achieved, but position identification accuracy decreases due to ionospheric abnormalities
Solution Approach 1:
The patent extracts and excludes terrain change portions (such as construction areas, excavated regions, or modified terrain) from the map information used for position identification. By removing these dynamic, non-stationary elements that do not conform to the stable road network geometry, the system maintains high position identification accuracy using only the reliable, unchanging road features even when GPS accuracy is compromised by ionospheric conditions
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution suppresses the decrease in productivity by ensuring accurate navigation and operation of work machines, even in conditions with reduced GPS accuracy.
Implementation Method 1
a non-contact sensor configured to detect a position of an object around the work machine
Data Source
AI summary
A work machine control system is configured to control a work machine that travels on a travel route and includes a position detection unit, a non-contact sensor, and a control unit. The position detection unit detects a position of the work machine. The non-contact sensor detects a position of an object around the work machine. The control unit extracts information on an object to be detected from a detection result of the position detection unit and a detection result of the non-contact sensor, and excludes the information on an object to be detected inside a mask region that is set so as to include a terrain change portion that is a portion in which a terrain changes by use of a machine among portions around the travel route.