Guiding Network Generation from Regional Layout Images
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Solution Overview
Problem
Current navigation systems for specific regions, such as exhibitions or shopping malls, are difficult to update when facility changes occur, lacking a universal technology to guide users using mobile communication devices effectively.
Innovation Solution
A data processing system and method that generates a guiding network based on a regional layout image, using an editing module to label coordinates, select positioning and information points, and create links, which can be executed on mobile platforms to provide real-time guidance and route determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a guiding system is built for a specific region under a specific project, then the system can provide navigation for that region, but it is difficult to update when facilities change
Solution Approach 1:
The system segments the regional layout into discrete coordinate points (M rational coordinates) that can be independently selected and updated. Positioning points and information triggering points are separated into distinct categories (N and K points respectively), allowing selective modification without affecting the entire system. This segmentation enables flexible updates when facilities change while maintaining overall system reliability.
Solution Approach 2:
The system creates a universal guiding network that can be applied to multiple different regions and facilities. By establishing a standardized coordinate labeling method and link creation process, the same system architecture can serve exhibitions, shopping malls, museums, and other venues. The system is designed to be adaptable across different applications while providing consistent navigation functionality.
2Measurement precision
If M rational coordinates are labeled and N positioning points plus K information triggering points are selected, then the guiding network becomes more precise, but the system complexity increases
Solution Approach 1:
Different types of coordinates are assigned different functions based on their local quality requirements. M rational coordinates provide the overall spatial framework, N positioning points offer precise location tracking, and K information triggering points provide contextual information. This differentiated approach ensures each coordinate type contributes optimally to positioning accuracy without requiring all points to have maximum complexity.
Solution Approach 2:
The system allows selective selection of positioning points and information triggering points from the total M rational coordinates. Users can choose N and K points based on specific needs, where (N+K) ≤ M. This partial action approach enables the system to achieve sufficient positioning accuracy without processing all possible coordinates, thereby reducing unnecessary complexity while maintaining essential precision.
3Adaptability or versatility
If facilities in specific regions change, then the guiding system needs to be amended, but current systems cannot be updated in time
Solution Approach 1:
The system performs preliminary actions by pre-labeling all M rational coordinates and pre-selecting positioning points and information triggering points during the initial setup phase. This preliminary structuring creates a flexible framework that can quickly accommodate facility changes without requiring time-consuming reconfiguration. When facilities change, the system can rapidly update by modifying existing coordinate assignments rather than rebuilding the entire guiding network.
Solution Approach 2:
The guiding network is designed to be dynamic rather than static. The system allows reassignment of N positioning points and K information triggering points from the M rational coordinates as facilities change. Links between neighboring rational coordinates can be selectively created or modified. This dynamic structure enables timely updates to reflect facility changes while maintaining the overall guiding system functionality.
Data Source
AI summary
The invention discloses a data processing system and method for generating a guiding network. The data processing system according to a preferred embodiment of the invention includes an editing module and a processing module. Through the editing module, an editor uploads a regional layout image, labels M rational coordinates based on the regional layout image, selects N positioning points from the M rational coordinates, selects K information triggering points from the M rational coordinates, and selectively creates links between neighboring rational coordinates in the M rational coordinates. The processing module functions in generating the guiding network according to the regional layout image, the M rational coordinates, the N positioning points, the K information triggering points and the links.