Electrical Component Installation Tracking for Decentralized Machine Layouts
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Solution Overview
Problem
The installation of electrical automation systems, particularly decentralized systems, is complex and prone to inefficiencies due to individual preferences and suboptimal spatial conditions, often requiring multiple skilled personnel and leading to errors.
Innovation Solution
A computer-assisted method and system that analyzes the installation process to detect installation efficiencies and inefficiencies by recording start and end times, movement profiles, and comparing them to historical data, providing automated documentation and optimization suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If decentralized electrical components are installed manually by multiple skilled personnel, then the installation can be completed with flexibility in handling complex routing, but inefficiencies and errors arise due to individual preferences and suboptimal spatial conditions
Solution Approach 1:
The system continuously monitors installation progress, movement profiles, and time data, providing real-time feedback to identify inefficiencies. The computer-assisted system tracks each work step, compares actual performance against optimal patterns, and enables corrective actions to be taken during the installation process itself.
Solution Approach 2:
The patent replaces manual judgment and experience-based installation practices with an automated computer-assisted system that uses sensors, tracking devices, and algorithms to objectively monitor and evaluate installation processes, eliminating variability introduced by individual installer preferences.
2Loss of information
If manual installation monitoring is used, then installation processes can be tracked, but time-consuming documentation and analysis of inefficiencies occur
Solution Approach 1:
The installation system automatically documents itself through embedded sensors and tracking devices that capture work step data, movement profiles, and time information without requiring manual intervention. The system self-monitors and self-documented the installation process, eliminating the need for separate documentation efforts.
Solution Approach 2:
Manual documentation tasks are replaced by an automated computer-assisted system that uses electronic sensors, data collectors, and processing algorithms to automatically record, store, and analyze installation data, transforming a labor-intensive manual process into an automated electronic system.
3Device complexity
If complex installation routes are planned without computer assistance, then installation can proceed with simple tools, but routing inefficiencies and suboptimal paths are created
Solution Approach 1:
The computer-assisted system performs preliminary analysis and optimization of installation routes before the actual installation begins. By pre-calculating optimal paths and identifying potential inefficiencies in advance, the system enables installers to follow predetermined efficient routes without requiring complex tools during the installation itself.
Solution Approach 2:
The patent introduces a computer-assisted system as an intermediary between the installation planners and the actual installation execution. This intermediary provides optimized routing information, real-time guidance, and efficiency analysis, acting as a mediator that translates complex optimization algorithms into practical installation guidance without requiring the installers to directly handle the complexity.
Data Source
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AI summary
The invention relates to a method (100) for a computer-aided determination of the efficiency of installing spatially decentralized electrical components (4) of a machine (1), in particular a system (1), comprising: capturing (101) a start time of a work step during the installation of an installation element (10), preferably a cable or a component, of the machine (1); capturing (102) at least one movement profile of a user during the execution of the work step; capturing (103) an end time of the work step; determining (104) at least one installation efficiency during the execution of the work step, at least partially based on a time required for the work step corresponding to the start and end times and/or the captured at least one movement profile; and automatically documenting (105) the at least one determined installation efficiency.