Door System Status Modeling for Predictive Wear Maintenance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current door system maintenance methods often result in unnecessary work and downtime due to fixed schedules, leading to inefficient identification and repair of wear and defects, which can only be detected after faults occur.
Innovation Solution
A method using a model with first and second model blocks to determine the status of a door system by analyzing measurement information, allowing for predictive and time-optimized maintenance by identifying wear in specific subsystems and scheduling maintenance accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If maintenance is carried out at fixed time intervals, then maintenance scheduling is simplified, but unnecessary maintenance work and downtime increase
Solution Approach 1:
The system performs preliminary monitoring and analysis of measurement information to detect signs of wear before they lead to actual faults. By identifying wear early through the model-based status determination, maintenance can be scheduled optimally rather than following fixed intervals, thus reducing unnecessary downtime while avoiding premature maintenance.
Solution Approach 2:
The system continuously monitors the door system's status through measurement information and uses a model to compare actual status against expected status. This feedback loop enables dynamic adjustment of maintenance timing based on actual wear progression, replacing fixed-schedule maintenance with condition-based maintenance that reduces unnecessary downtime.
2Ease of operation
If maintenance is carried out at fixed time intervals, then maintenance planning is simplified, but signs of wear are only identified after faults occur
Solution Approach 1:
The system performs preliminary detection of wear signs by analyzing measurement information through a model before faults actually occur. This early detection capability allows maintenance to be planned based on actual wear status rather than waiting for faults to manifest, improving reliability while maintaining planning simplicity.
Solution Approach 2:
The system replaces traditional mechanical inspection methods with a model-based diagnostic approach that analyzes measurement information (such as current, speed, position data) to detect wear signs. This substitution enables earlier and more reliable fault detection while keeping the maintenance planning process simple and automated.
3Ease of repair
If specialist personnel travel to examine or repair the door device, then thorough inspection is possible, but maintenance time and costs increase
Solution Approach 1:
The door system performs self-diagnosis by continuously monitoring its own status through measurement information and comparing it against a model. This self-service capability identifies wear signs and generates maintenance indications without requiring constant specialist intervention, thereby reducing maintenance time and costs while maintaining inspection quality through automated monitoring.
Solution Approach 2:
The system replaces physical inspection by specialist personnel with an automated electronic monitoring and diagnostic system. The model-based status determination analyzes measurement information to identify wear signs, providing thorough inspection capability through electronic means that reduces both time and cost compared to manual specialist visits.
4Reliability
If comprehensive maintenance is performed on the entire door device, then all potential issues are addressed, but resource and cost expenditure increase
Solution Approach 1:
The system segments the door device into individual subsystems (drive unit, gear unit, motor, tab carriage, etc.) and monitors each separately through a modular model structure. This segmentation allows maintenance to be targeted at specific worn components rather than performing comprehensive maintenance on the entire device, reducing resource and cost expenditure while maintaining system reliability.
Solution Approach 2:
The system applies local quality monitoring by focusing measurement and analysis resources on specific subsystems that show signs of wear. The model identifies which particular component (gear unit, motor, etc.) requires attention, enabling targeted maintenance that conserves resources while ensuring reliability by addressing only the necessary local issues.
Data Source
AI summary
A method for determining and/or verifying a status of a door system, wherein the door system has at least one first subsystem and one second subsystem, includes thefollowing stepsdetermining at least one item of measurement information relating to the door system is determined in a measuring step, and determining and/or verifyingthe status of the door system using a model and using the at least one determined item of measurement information in a status determination step, wherein the model has a first model block for the first subsystem and a second model block for the second subsystem.