Mobile Positioning Network Using Right-Angled Triangle Node Arrangement
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Solution Overview
Problem
Current positioning technologies face challenges in accurately positioning a target node indoors without installing multiple predetermined positioning nodes, especially when the target node is far from the reference point, as they complicate calculations and limit the positionable region, increasing costs.
Innovation Solution
A positioning network system using a plurality of positioning mobile objects and intermediate mobile objects arranged in a right-angled triangle structure, where each positioning mobile object calculates distances from a target node using RF signals, allowing for high-accuracy positioning without pre-installed nodes by summing location information from multiple mobile objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple positioning nodes are installed at predetermined locations to cover the entire region, then positioning coverage is improved, but device complexity and cost increase
Solution Approach 1:
The patent transforms stationary positioning nodes into mobile positioning objects that move through the region. Instead of installing fixed nodes at predetermined locations, the system uses mobile objects (smartphones, tablets, or dedicated devices) that can be dynamically positioned and relocated. This dynamic approach eliminates the need for permanent infrastructure while maintaining positioning coverage.
Solution Approach 2:
The mobile positioning objects utilize their own built-in positioning capabilities (such as GPS receivers, cameras, or sensors) to perform positioning functions without requiring external infrastructure. The objects independently measure distances and calculate positions using algorithms like trilateration, eliminating the need for a complex network of fixed positioning nodes.
2Measurement precision
If positioning nodes are installed at predetermined locations, then positioning accuracy is improved, but manufacturing precision and installation complexity increase
Solution Approach 1:
The mobile positioning objects perform self-positioning by utilizing their own intrinsic capabilities (GPS receivers, cameras, sensors) without requiring external positioning infrastructure. The objects independently execute positioning algorithms to determine their locations, eliminating the need for precise installation of fixed nodes and complex calibration procedures.
Solution Approach 2:
The system changes the state of positioning from static (fixed nodes) to dynamic (mobile objects). By transforming the positioning infrastructure from stationary to mobile, the system maintains positioning accuracy while dramatically simplifying deployment. The mobile objects can be positioned anywhere in the region without requiring predetermined installation locations.
3Device complexity
If a single positioning mobile object is used, then device complexity is reduced, but positioning accuracy and positionable region are limited
Solution Approach 1:
The patent combines multiple mobile positioning objects into a coordinated system. Instead of relying on a single object, the system uses multiple objects (e.g., smartphones, tablets, or dedicated devices) that work together to provide enhanced positioning coverage and accuracy. The mobile objects exchange position information and measurement data to collectively determine the position of target nodes throughout the region.
4Device complexity
If positioning nodes are fixed at predetermined locations, then positioning calculation is simplified, but adaptability and flexibility are reduced
Solution Approach 1:
The system transitions from static positioning nodes to dynamic mobile positioning objects. The mobile objects can move freely throughout the region and adapt their positions based on real-time needs, providing flexibility and adaptability. The positioning calculations are performed dynamically by the mobile objects themselves using their measured distances and positions, maintaining computational efficiency while enabling versatile deployment scenarios.
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
Enables accurate positioning of target nodes far from the reference point with reduced calculation complexity and expanded positionable regions, minimizing the need for pre-installed nodes and lowering costs.
Implementation Method 1
calculating a first distance XAD from the first positioning node NA to the node to be positioned ND on a first axis (X axis) connecting the first positioning node NA and the second positioning node NB, and calculating a second distance YAD from the first positioning node NA to the node to be positioned ND on a second axis (Y axis) connecting the first positioning node NA and the third positioning node NC
Data Source
AI summary
The present disclosure relates to a positioning network system, apparatus, and method using a mobile object, and more particularly, to a positioning network system, apparatus, and method using a mobile object, that are capable of improving positioning accuracy while reducing an amount of calculation for positioning by arranging a plurality of positioning nodes included in a positioning mobile object in a right angle direction, and also efficiently expanding a positionable region by using a plurality of positioning mobile objects or an intermediate mobile object.