Area Definition From Mobile History for Accurate Zone Tracking
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Solution Overview
Problem
Existing area management systems, such as those described in Japanese Unexamined Patent Application Publication No. 2020-113875, fail to accurately define mobile and work areas within a management target area, leading to errors in monitoring and management, especially when applied to systems that automatically track mobile objects.
Innovation Solution
An area management system that acquires mobile history information, generates a distribution of existence probability through statistical processing, and defines mobile and work areas based on this data, eliminating the need for user intervention and reducing errors in area determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a system displays symbols representing persons or objects together with area images, then the system can easily grasp the environment and reduce communication traffic, but the system cannot automatically define mobile areas and work areas, requiring user intervention that introduces errors
Solution Approach 1:
The system performs self-service by automatically defining mobile areas and work areas through statistical processing of mobile history data, eliminating the need for user intervention in area definition while maintaining accurate area identification
Solution Approach 2:
The system performs preliminary action by pre-defining area attributes through statistical analysis of mobile history before actual area management operations, so that areas are automatically categorized without requiring user input during operation
2Adaptability or versatility
If user manually determines mobile areas and work areas, then the system can identify different functional zones, but errors occur in determining area boundaries and attributes
Solution Approach 1:
The system replaces the mechanical manual determination process with automated statistical processing that analyzes mobile history data to objectively define area boundaries and attributes, eliminating human error in area determination
Solution Approach 2:
The system uses feedback from mobile history data to continuously refine and accurately determine area definitions, using actual movement patterns to validate and adjust area boundaries and attributes
3Extent of automation
If statistical processing is performed on mobile history information, then the system can generate existence probability distributions to automatically define areas, but the system complexity increases
Solution Approach 1:
The system applies parameter changes by using statistical parameters (existence probability, standard deviation) to transform raw mobile history data into meaningful area definitions, automating the process through mathematical transformations rather than complex algorithms
Data Source
AI summary
An area management system includes an acquisition unit configured to acquire information on a mobile history of at least one mobile object that moves in a management target area, a statistical processing unit configured to generate a distribution of existence probability of the at least one mobile object in a management target area by performing statistical processing on information on a mobile history of the at least one mobile object, and an area definition unit configured to define a predetermined area included in the management target area together with an area attribute of the predetermined area, based on the distribution of existence probability of the at least one mobile object in the management target area.


