RTK Data Brokering Across Dynamic Vehicle Positioning Zones
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Solution Overview
Problem
Existing RTK positioning systems face limitations in providing accurate and uninterrupted positioning data due to interference, communication challenges, and vendor compatibility issues when vehicles move between different RTK base station coverage areas.
Innovation Solution
An RTK brokering system dynamically defines zones based on vehicle locations, collects RTK correction data from multiple base stations, and distributes it to vehicles via a publish-subscribe service, ensuring robust and continuous positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicles directly connect to RTK base stations for positioning data, then positioning accuracy is improved, but communication reliability deteriorates when vehicles move between coverage areas
Solution Approach 1:
The patent introduces a broker server as an intermediary between RTK base stations and vehicles. The broker receives correction data from multiple base stations, manages zone definitions, and distributes appropriate data to vehicles. This mediator resolves the contradiction by handling the complexity of inter-base-station communication and ensuring continuous service as vehicles move between coverage areas, maintaining both accuracy and reliability.
2Duration of action of stationary object
If vehicles receive RTK data from multiple base stations, then positioning continuity is improved, but system complexity increases
Solution Approach 1:
The patent segments the service area into distinct zones, each associated with specific base stations. The broker dynamically defines these zones and determines which zone a vehicle belongs to based on its location. This segmentation allows the system to manage multiple base stations efficiently by organizing their coverage areas, ensuring positioning continuity while reducing the complexity of direct many-to-many connections between vehicles and base stations.
Solution Approach 2:
The broker acts as a central intermediary that manages the complexity of coordinating multiple base stations. It handles zone definitions, determines appropriate base stations for each vehicle, and distributes correction data accordingly. This centralized mediation simplifies the overall system architecture while maintaining the ability to provide continuous positioning service as vehicles move between zones covered by different base stations.
3Measurement precision
If RTK correction data is distributed to all vehicles, then positioning accuracy is improved, but data transmission efficiency deteriorates
Solution Approach 1:
The patent implements local quality by distributing RTK correction data selectively based on vehicle location within dynamically defined zones. The broker determines which vehicles should receive data from which base stations by evaluating their spatial relationship to zone boundaries and base station coverage areas. This localized data distribution ensures each vehicle receives accurate positioning data while minimizing unnecessary data transmission across the network.
Data Source
AI summary
Disclosed herein is a Real Time Kinematics (RTK) brokering system for distributing RTK positioning data to one or more vehicles, comprising an RTK server adapted to receive positioning data of a plurality of vehicles, dynamically define, based on the positioning data, a plurality of dynamically defined zones each associated with a respective group of vehicles located within borders of the respective dynamically defined zone and contained within a coverage area of one or more RTK base stations, receive RTK positioning correction data relating to each dynamically defined zone from one or more of the RTK base stations covering the respective dynamically defined zone, and distribute the RTK positioning correction data relating to each dynamically defined zone to the respective group of vehicles associated with the respective dynamically defined zone. Wherein one or more of the vehicles computes its location with improved accuracy based on the related RTK positioning correction data.