Connected Door System Predictive Maintenance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current door system maintenance is inefficient, leading to frequent replacements based on time or cycles rather than actual functionality, resulting in unnecessary downtime and increased costs, as service providers often address issues only after a breakdown occurs, without identifying worn parts in need of replacement.
Innovation Solution
A method and device that utilize sensor data to determine the operational status of door systems, allowing for predictive maintenance by identifying status patterns and recommending specific maintenance actions, including component replacements, based on comparisons with similar systems, thereby reducing downtime and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If door operator service is based on prescheduled time/cycle scheme, then service frequency is increased to prevent breakdowns, but unnecessary replacements and costs increase
Solution Approach 1:
The system performs preliminary monitoring of door operator parameters (motor current, temperature, vibration, noise) to detect early signs of degradation before actual failure occurs. This allows maintenance to be scheduled proactively based on actual condition rather than fixed time intervals, preventing breakdowns while avoiding unnecessary replacements.
Solution Approach 2:
The system continuously collects feedback from sensors monitoring door operator performance and compares it against baseline data and failure patterns. This feedback loop enables dynamic adjustment of maintenance timing based on actual wear and operational conditions, optimizing the balance between reliability and downtime.
2Reliability
If door operator service is based on prescheduled time/cycle scheme, then service coverage is improved, but service costs increase due to unnecessary replacements
Solution Approach 1:
The system monitors changes in operational parameters (current draw, temperature, vibration frequency, noise levels) to detect degradation trends. By tracking parameter evolution rather than relying on time-based schedules, the system identifies when actual maintenance is needed, reducing unnecessary replacements and associated costs while maintaining reliability.
3Ease of operation
If service is called only after breakdown occurs, then service response is simplified, but door downtime increases
Solution Approach 1:
The system performs preliminary detection of failure patterns by continuously monitoring operational parameters and comparing them against known failure signatures. When degradation thresholds are exceeded or failure patterns are detected, the system proactively generates service alerts before actual breakdown occurs, enabling planned maintenance that minimizes downtime while keeping service procedures straightforward.
4Ease of manufacture
If parts are replaced based on time/cycles instead of functionality, then maintenance planning is simplified, but wear-exposed parts may be missed
Solution Approach 1:
The system segments the door operator into monitorable components (motor, gearbox, bearings, seals) and tracks degradation of each separately through specific sensor measurements. This allows maintenance planning to be component-specific rather than blanket time-based replacement, simplifying planning while ensuring worn parts are identified and replaced based on actual condition.
Data Source
Figure 1a
Figure 1b
Figure 2~3
AI summary
The disclosure proposes a method performed in an electronic device for minimizing downtime in operation of a door system. The method comprising obtaining a door system identification information, followed by obtaining a status pattern associated with the operation of the door system associating the obtained status pattern with the door system identification information. The method is determining if the obtained status pattern is associated with any of at least one reference status pattern, by comparing the obtained status pattern with the at least one reference status pattern. This is then followed by associating the determined reference status pattern with the door system identification information and generating a door maintenance information.