AI Door System Status Detection for Predictive Maintenance
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Solution Overview
Problem
Current door system maintenance methods involve unnecessary work and high costs due to fixed schedules, often resulting in downtime from unrecognized wear and tear, especially since signs of wear are only identified after faults occur.
Innovation Solution
A method utilizing an artificial intelligence system to determine the status of door systems through measurement information, enabling predictive maintenance by identifying wear in specific subsystems and optimizing maintenance timing and focus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If maintenance is carried out at fixed time intervals, then maintenance scheduling is simple, but unnecessary maintenance work is performed and resources are wasted
Solution Approach 1:
The patent changes the maintenance parameter from fixed time intervals to condition-based thresholds. The AI system continuously monitors door system parameters (vibration, temperature, current) and triggers maintenance only when wear indicators exceed predefined thresholds, transforming maintenance scheduling from time-based to condition-based decision-making
Solution Approach 2:
The door system performs self-diagnosis through integrated sensors and the AI evaluation system. The system autonomously monitors its own wear state and generates maintenance alerts without external inspection, enabling the system to serve its own maintenance needs and eliminate unnecessary scheduled interventions
2Loss of substance
If maintenance is delayed until faults occur, then resource usage is reduced, but door device downtime increases
Solution Approach 1:
The AI system performs preliminary detection of wear indicators by continuously analyzing sensor data from the door system. By identifying degradation trends before they lead to functional failures, the system enables proactive maintenance scheduling that prevents downtime while avoiding premature maintenance interventions
3Reliability
If comprehensive maintenance is performed, then system reliability is improved, but maintenance costs and time consumption increase
Solution Approach 1:
The AI system evaluates the wear state of individual door system components (drive unit, transmission, motor, sensors) separately and generates targeted maintenance recommendations. Instead of comprehensive maintenance, only specific components showing wear indicators are scheduled for service, reducing maintenance scope to the minimum necessary while maintaining overall system reliability
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 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 an artificial intelligence system and the at least one measurement piece of information obtained.