Door System Wear Detection for Predictive Subsystem Maintenance
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Solution Overview
Problem
Current door system maintenance methods often result in unnecessary work and downtime due to fixed schedules, leading to increased costs and resource wastage, as signs of wear are typically recognized only after faults occur.
Innovation Solution
A method involving a model-based status determination system that uses measurement information to identify wear in specific subsystems of a door system, allowing for predictive maintenance by determining the status of each subsystem and optimizing maintenance schedules based on actual wear levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If maintenance is carried out at fixed intervals according to predefined maintenance plans, then maintenance coverage is ensured, but unnecessary maintenance work and resource wastage occur
Solution Approach 1:
The maintenance interval parameter is changed from fixed to dynamic, adjusting based on actual wear status detected through measurement information and model comparison. This allows maintenance to be performed only when necessary, reducing resource wastage while ensuring reliability.
Solution Approach 2:
The door system performs self-diagnosis by collecting measurement information and comparing it with model data to determine its own wear status. This eliminates the need for continuous external inspection and enables condition-based maintenance scheduling.
2Ease of operation
If maintenance is performed based on fixed schedules, then planning simplicity is maintained, but downtime increases due to unnecessary maintenance and late wear detection
Solution Approach 1:
The system performs preliminary wear detection by continuously monitoring measurement information and comparing it with model data before actual wear leads to malfunction. This allows maintenance to be scheduled in advance based on predicted wear progression, reducing unexpected downtime while maintaining planning simplicity.
Solution Approach 2:
The system uses feedback from measurement information and model comparison to dynamically adjust maintenance schedules. This feedback loop enables optimized maintenance timing that reduces downtime while keeping planning straightforward through automated recommendations.
3Measurement precision
If comprehensive inspection of entire door system is performed, then wear detection accuracy is improved, but maintenance complexity and cost increase
Solution Approach 1:
The door system is segmented into multiple subsystems, each with its own model block. Measurement information is compared with corresponding subsystem models to identify wear in specific components. This segmentation maintains high detection accuracy while reducing maintenance complexity by focusing inspections on affected subsystems only.
Solution Approach 2:
The model comparison approach enables local wear detection for specific subsystems based on their unique measurement information and model blocks. This allows precise identification of wear locations without requiring comprehensive inspection of the entire door system, reducing maintenance complexity while maintaining accuracy.
Data Source
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AI summary
The invention relates to a method for determining and/or verifying the status of a door system, wherein the door system has at least a first subsystem and a second subsystem, wherein the method comprises the following steps: -- in a measurement step, at least one measurement piece of information relating to the door system is determined, -- in a status determination step, the status of the door system is determined and/or verified using a model and using the at least one measurement piece of information determined, wherein the model has a first model block for the first subsystem and a second model block for the second subsystem.