Machine Positioning System Error Value Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current positioning systems for machines in worksites, which combine GPS/GNSS and IMU information, face errors when switching from high-quality to lower-quality GPS/GNSS modes, leading to inaccurate determination of machine location.
Innovation Solution
A positioning system that includes a satellite positioning unit, an inertial measurement unit (IMU), and a controller to determine and compare error values associated with GPS/GNSS and IMU signals, selecting the most accurate location based on these values to minimize positional offset.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the positioning system uses a high quality GPS/GNSS mode (RTK Fixed mode), then the location accuracy is improved, but the system complexity and computational requirements increase
Solution Approach 1:
The positioning system is segmented into multiple independent GPS/GNSS modes (RTK Fixed, RTK Float, Differential, Autonomous) that can be evaluated separately. Each mode is assessed individually for error characteristics, allowing the system to select the most appropriate mode without requiring complex integration of all processing paths.
Solution Approach 2:
The system dynamically selects between different GPS/GNSS modes based on real-time error evaluation. The controller continuously monitors the quality indicators of each mode and switches to the optimal mode, making the system adaptable to changing conditions while maintaining location accuracy.
2Device complexity
If the positioning system switches from high quality GPS/GNSS mode to lower quality mode, then the device complexity is reduced, but the location accuracy deteriorates due to offset errors
Solution Approach 1:
The system performs preliminary evaluation of error values for each GPS/GNSS mode before making a mode selection. By assessing the quality indicators and estimated errors in advance, the system can switch between modes smoothly without introducing offset errors, as the transition is based on pre-evaluated reliability metrics.
Solution Approach 2:
The controller continuously monitors quality indicators and error estimates from each GPS/GNSS mode and uses this feedback to determine the optimal mode for location determination. This closed-loop feedback mechanism ensures that the system maintains location accuracy by selecting modes based on their actual performance rather than fixed configurations.
3Adaptability or versatility
If the positioning system uses IMU dead reckoning, then the system can operate without GPS/GNSS signals, but the location accuracy deteriorates over time due to error accumulation
Solution Approach 1:
The system merges GPS/GNSS positioning with IMU dead reckoning into a unified positioning solution. The controller evaluates error values from both sources and combines them optimally, allowing the system to maintain high location accuracy whether operating with GPS/GNSS signals, without them, or during transitions between these states.
Solution Approach 2:
The system dynamically changes the weighting and fusion parameters between GPS/GNSS and IMU based on their respective error characteristics. When GPS/GNSS quality is high, the system prioritizes satellite data; when signals are unavailable or degraded, it transitions to rely more heavily on IMU data, optimizing location accuracy across different operational conditions.
Data Source
AI summary
A positioning system for a machine is disclosed. The positioning system includes a satellite positioning unit to generate signals indicative of a location of the machine in a worksite and an inertial measurement unit (IMU) to generate signals indicative of a position of the machine. A controller is communicated with the satellite positioning unit and the IMU. The controller determines a first error value associated with a location of the machine based on signals received from the satellite positioning unit. The controller further determines a second error value associated with a location and a position of the machine based on signals received from the satellite positioning unit and signals received from the IMU, respectively. Further, a location of the machine is determined based on signals received from the satellite positioning unit and the IMU if the first error value is less than the second error value.