RTK Mower Base Station Placement Using Shared Satellite Signals
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Solution Overview
Problem
Existing methods for selecting the installation position of a base station for a mower are inconvenient for users and do not consider the impact on RTK performance, leading to inaccurate positioning.
Innovation Solution
Acquire satellite observation data at multiple sampling points along a target map, determine target sampling points based on satellite observation frequency bands, and recommend the base station installation position based on the number of common satellite observation frequency bands, ensuring a large number of satellites are observable by both the mower and the base station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the base station is moved multiple times to compute and compare satellite observation signals at different positions, then the site selection range can be obtained where obstacles are prevented from affecting communication, but the user operation becomes inconvenient and time-consuming
Solution Approach 1:
The system performs preliminary satellite observation at multiple sampling points along the boundary before final base station installation. By pre-evaluating satellite observation frequencies and carrier-to-noise ratios at these sampling points, the system identifies optimal installation positions in advance, eliminating the need for multiple base station relocations during the selection process.
Solution Approach 2:
Instead of physically moving the base station to test different positions, the system uses the mower to collect satellite observation data at multiple sampling points. This creates virtual copies of the base station's observation capability at different locations, allowing comparison and selection of the optimal position without actual base station movement.
2Ease of manufacture
If the base station installation position is selected without considering RTK performance, then the installation process is simplified, but the mower positioning accuracy deteriorates
Solution Approach 1:
The system evaluates and compares satellite observation parameters (satellite observation frequency and carrier-to-noise ratio) at different sampling points. By selecting the installation position with the highest satellite observation frequency and carrier-to-noise ratio, the system ensures optimal RTK positioning performance while maintaining a straightforward installation process based on clear quantitative criteria.
Solution Approach 2:
The system replaces complex mechanical trial-and-error base station relocation with an automated computational approach. The mower collects satellite observation data, and the processor automatically computes and compares observation signals at different positions, identifying the optimal installation position through algorithmic analysis rather than physical experimentation.
3Measurement precision
If satellite observation data is collected at multiple sampling points along the boundary, then the positioning accuracy is improved, but the data processing complexity increases
Solution Approach 1:
The system focuses satellite observation data collection specifically at boundary sampling points rather than throughout the entire area. By concentrating measurements at these critical boundary locations and using clear comparison criteria (highest satellite observation frequency and carrier-to-noise ratio), the system achieves accurate base station positioning without the need for complex full-area data processing.
Data Source
AI summary
A method for recommending an installation position of a base station, a storage medium, a mower, and a mobile electronic device are provided. The method acquires satellite observation data at a plurality of sampling points along a boundary of a target map; determining target sampling points satisfying a preset condition according to satellite observation data at each sampling point; determining common satellite observation frequency bands according to satellite observation data at the target sampling points; determining the number of the common satellite observation frequency bands at each sampling point according to the common satellite observation frequency bands and the satellite observation data at each sampling point; and determining recommendation information of the installation position of the base station according to the number of the common satellite observation frequency bands at each sampling point.