RTK-Assisted Equipment Position Detection in Low-Precision Areas
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Solution Overview
Problem
Existing systems struggle to accurately determine the position of individuals in complex environments with varying precision, particularly in traffic scenarios, which hinders effective traffic safety and convenience measures.
Innovation Solution
A system utilizing a server, mobile communication, and moving objects equipped with RTK positioning, cameras, and LIDAR to enhance position detection precision, allowing for triangulation and attribute recognition of communication terminals carried by individuals, enabling precise traffic risk assessment and alert systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional positioning methods are used, then device complexity is reduced, but measurement precision of position detection deteriorates
Solution Approach 1:
The system divides position detection into two segments: coarse positioning using conventional methods and fine positioning using RTK technology. The server coordinates multiple moving objects to perform triangulation, segmenting the overall detection task to achieve high precision without requiring every device to have complex equipment.
Solution Approach 2:
The server acts as an intermediary that collects position information from multiple moving objects, performs triangulation calculations, and determines precise positions. This intermediary approach enables high-precision measurement without requiring direct complex interactions between all system components.
2Measurement precision
If multiple moving objects perform triangulation, then measurement precision improves, but loss of time increases due to coordination overhead
Solution Approach 1:
The server preliminarily identifies areas with low position detection precision and proactively assigns triangulation tasks to moving objects before critical situations occur. This preliminary action reduces coordination time by avoiding last-minute task assignment and allows moving objects to prepare for detection tasks in advance.
Solution Approach 2:
The server periodically monitors position detection precision across different areas and dynamically adjusts triangulation task assignments. This periodic action ensures that time is optimized by performing triangulation only when and where precision improvements are needed, rather than continuously across all areas.
3Measurement precision
If moving objects are assigned to low precision areas, then measurement precision improves, but productivity decreases due to task redistribution
Solution Approach 1:
The system applies different detection strategies to different areas: conventional positioning for areas with adequate precision and RTK triangulation for areas with low precision. This local quality approach ensures that productivity is maintained in well-covered areas while precision is improved in problematic areas, optimizing the overall balance between the two parameters.
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
Enhances the accuracy of position detection for communication terminals, allowing for timely traffic risk alerts and improved safety measures, reducing communication delays and improving overall traffic safety.
Implementation Method 1
a function of measuring a position of the person 70 or the communication terminal 20 with respect to the moving object 30 based on information detected by at least one of the camera 390 or the LIDAR 392
Implementation Method 2
a function of measuring a geographical position of the moving object 30; and a calculation function of calculating a geographical position of the communication terminal 20, based on the geographical position measured by the measurement function
Data Source
AI summary
A system includes: a first acquisition unit that acquires position information of equipment that is movable, and precision information indicating a precision of the position information; a specification unit that specifies, based on the position information and the precision information, an area where the precision of the position information is lower than a predetermined value, among a plurality of areas where pieces of the equipment exist; and an instruction unit that instructs a moving object which has a function of acquiring the position information of the equipment, to move to the area specified by the specification unit, in order to cause the moving object to measure a position of the equipment.