Logistics Area Digital Twin Heat Maps for Movement Deviation
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Solution Overview
Problem
Current logistics area management techniques, such as those described in JP2007-041950A, lack an effective method to easily identify and quantify deviations between simulated and actual movements of work subjects, making it difficult to grasp where a work subject does not move according to simulation and how much it deviates.
Innovation Solution
A logistics area management method and system utilizing a digital twin to simulate a work space, monitor actual movements, and display work subjects as a heat map where color changes reflect the degree of deviation between simulated and actual movements, allowing for easy identification of deviations and abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If simulation results are compared with actual data using conventional methods, then management information is provided, but it is difficult to easily grasp where work subjects deviate from simulation and how much they deviate
Solution Approach 1:
The patent applies color-coded visual representation to display deviation degrees between simulation and actual work subject positions. Different colors indicate different levels of deviation, enabling managers to instantly grasp where and how much work subjects deviate from simulated positions without complex data analysis.
Solution Approach 2:
The patent transforms deviation data from tabular or numerical form into a spatial visual dimension by overlaying actual work subject positions onto the simulation screen. This dimensional transformation allows intuitive spatial understanding of deviations rather than requiring interpretation of numerical data.
2Measurement precision
If detailed monitoring of work subject movements is implemented, then deviation detection accuracy is improved, but system complexity and data processing burden increase
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the logistics area and work subjects that mirrors the physical system. This virtual model receives and processes monitoring data, allowing accurate deviation detection through comparison of virtual and actual states without requiring complex physical monitoring infrastructure for every measurement point.
Solution Approach 2:
The simulation system serves multiple functions: it predicts work subject movements, provides management information, and acts as a reference framework for deviation detection. This multi-functionality reduces the need for separate specialized systems while maintaining high measurement precision.
Data Source
AI summary
The method of the present disclosure is a management method for a logistics area with a work line constituted of a plurality of work subjects. The method comprises: simulating, using a digital twin, a work space in which the plurality of work subjects work; monitoring an actual movement of each of the plurality of work subjects in the work space; and displaying each of the plurality of work subjects on a screen simulating the work space as a heat map of which a color is changed in accordance with a degree of deviation between a movement simulated using the digital twin and a monitored actual movement.