Passenger Transport Digital Twin for Error-Free Component Installation
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Solution Overview
Problem
The manual inspection and documentation of components in passenger transport installations, such as elevators and escalators, are prone to errors, leading to safety issues, increased downtime, and higher maintenance costs due to the reliance on human judgment in applying mechanical connection components, which can affect the quality and efficiency of the installations.
Innovation Solution
A detection apparatus and method utilizing a central position analysis device, local position detection devices, and a central data storage and processing unit to create a digital twin data record, which accurately documents and simulates the installation process by capturing component identifiers, positions, and parameters, allowing for real-time assessment of assembly quality and preventing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection and documentation of components is performed, then flexibility and adaptability in installation are maintained, but errors increase and reliability decreases
Solution Approach 1:
The system enables self-documentation through automated detection apparatus that captures component data, positions, and parameters without human intervention. The digital twin automatically records installation information, eliminating manual documentation errors while maintaining installation flexibility.
Solution Approach 2:
Manual inspection and documentation processes are replaced with automated detection apparatus using optical sensors, cameras, and data processing systems. This substitution eliminates human error in documentation while preserving the ability to adapt to different installation scenarios.
2Measurement precision
If automated detection apparatus is used, then documentation precision and reliability improve, but device complexity increases
Solution Approach 1:
The detection apparatus is designed as a multi-functional integrated system that performs multiple tasks: capturing component identifiers, measuring positions, recording parameters, and generating digital twin data. This universal approach reduces the need for multiple separate devices while maintaining high measurement precision.
Solution Approach 2:
A central data processing unit serves as an intermediary that coordinates between various detection sensors and the digital twin generation process. This mediator simplifies the overall system architecture by centralizing data processing and management functions.
3Manufacturing precision
If comprehensive digital twin data record is created, then assembly quality assessment improves, but data processing time and complexity increase
Solution Approach 1:
The digital twin data record is segmented into structured modules: component data, position data, parameter data, and quality assessment data. This segmentation allows for efficient processing and retrieval of specific information without requiring analysis of the entire dataset, reducing processing complexity while maintaining comprehensive quality assessment.
4Manufacturing precision
If manual application of connection components is used, then adaptability to different installation scenarios is maintained, but assembly quality and consistency worsen
Solution Approach 1:
The detection apparatus provides real-time feedback on connection component application quality by measuring positions and parameters during installation. This feedback enables immediate assessment and correction, ensuring consistent quality while allowing adaptability to different installation scenarios through adjustable parameters.
Data Source
AI summary
The application relates to a method for the digital documentation and simulation of a passenger transport installation using a detection apparatus. Connection components are installed using a tool of the detection apparatus, the detection apparatus measuring the position and installation parameters of said components during installation, and these data being entered as installation data records in a position-defined manner into a digital twin data record mapping the physical passenger transport installation.