Multi-Factor Position Collation for Reliable Cyber-Physical Projection
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Solution Overview
Problem
Existing techniques for projecting a physical space onto a cyber space are prone to erroneous projections due to accidental or intentional position disguise events and external disturbances, which current methods cannot effectively mitigate.
Innovation Solution
A multi-factor collating system that compares first positional information from the object's own positioning means with second positional information from alternative sources, such as network-based or image positioning, to determine the reliability of the projection and correct any discrepancies, thereby ensuring accurate projection onto the cyber space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If single-source positioning information is used for projection, then the system complexity is low, but the reliability of projection is insufficient due to vulnerability to disguise events and disturbances
Solution Approach 1:
The patent combines multiple positioning information sources (first positioning information from positioning means and second positioning information from other means) into a unified collation process. The collating unit integrates these diverse sources to determine whether to project the object onto cyber space, thereby improving projection reliability through multi-factor verification while managing system complexity through structured integration.
Solution Approach 2:
The patent implements a feedback mechanism where the collating unit continuously compares first and second positioning information, and based on the collation result, determines whether to proceed with projection. This feedback loop ensures that only reliably verified position data is projected onto cyber space, preventing erroneous projections caused by disguise events or disturbances.
2Reliability
If multiple positioning sources are collated, then the reliability of projection improves, but the processing time and system complexity increase
Solution Approach 1:
The patent performs preliminary collation of positioning information before the actual projection process. The collating unit evaluates the reliability of positioning data in advance by comparing first and second positioning information, so that only pre-verified reliable data proceeds to projection. This preliminary verification prevents erroneous projections while minimizing processing time for the actual projection operation.
3Productivity
If positioning information is not verified, then the processing speed is high, but erroneous projections occur due to disguise events and disturbances
Solution Approach 1:
The patent applies partial verification by collating only the essential first and second positioning information needed to determine projection reliability, rather than performing exhaustive verification of all possible data sources. The collating unit focuses on the critical comparison between positioning means data and other means data, achieving sufficient verification speed to maintain high processing throughput while preventing erroneous projections.
Data Source
AI summary
A multi-factor collating system is in a cyber-physical system in which a physical space and a cyber space are connected by a network. The multi-factor collating system includes a computer including a memory and a processor configured to determine whether to project an object onto the cyber space, based on first positional information that is positional information of the object obtained by positioning means of the object in the physical space, and second positional information that is positional information of the object obtained by means other than the positioning means; and project the object to the cyber space, in response to a determination that the object is to be projected to the cyber space.