Elevator Threshold Profiles for Floor-Specific Monitoring
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Solution Overview
Problem
Existing elevator performance monitoring systems set arbitrary or one-size-fits-all tolerance thresholds, failing to account for the unique performance attributes of each elevator floor, leading to inefficient maintenance and potential service interruptions.
Innovation Solution
A sensor-based system that collects performance attribute data from an elevator car, generates a threshold profile tailored to specific floor locations, and uses analytics to update these thresholds over time, allowing for real-time monitoring and alerting of deviations, enabling targeted maintenance actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If arbitrary or one-size-fits-all tolerance thresholds are used for elevator performance monitoring, then the system complexity is reduced and ease of operation is improved, but the measurement precision and reliability of performance assessment deteriorate
Solution Approach 1:
The patent implements floor-specific threshold profiles where each floor has customized performance thresholds based on its unique characteristics. Instead of applying a single universal threshold to all floors, the system creates localized threshold settings for each floor level, allowing precise assessment of elevator performance at each specific location while automatically managing the complexity through systematic organization.
Solution Approach 2:
The system dynamically adjusts thresholds based on collected sensor data and identified performance patterns. Thresholds are not static but evolve over time as the system learns from actual elevator operations, automatically adapting to different floor characteristics without requiring manual reconfiguration for each floor.
2Measurement precision
If floor-specific performance thresholds are implemented, then the measurement precision and reliability of performance monitoring are improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The system performs self-configuration by automatically generating floor-specific threshold profiles based on sensor data collected during normal operations. The elevator monitoring system autonomously identifies performance patterns for each floor and establishes appropriate thresholds without requiring manual intervention, thereby reducing operational complexity while maintaining high measurement precision.
Solution Approach 2:
The system continuously collects sensor data, compares actual performance against thresholds, and uses the feedback to refine and update threshold profiles for each floor. This closed-loop feedback mechanism allows the system to automatically adapt and optimize thresholds based on real-world performance data, managing complexity through iterative learning rather than static configuration.
3Reliability
If traditional fixed thresholds are used, then the system stability is maintained, but the adaptability to different floor conditions and the ability to detect actual performance issues deteriorate
Solution Approach 1:
The patent applies local quality by creating customized threshold profiles for each floor based on its specific performance characteristics. Each floor receives tailored monitoring thresholds that reflect its unique conditions, enabling reliable detection of actual performance issues while adapting to local variations in elevator behavior across different floors.
Solution Approach 2:
The system transitions from static fixed thresholds to dynamic adaptive thresholds that evolve based on collected performance data. Thresholds automatically adjust to reflect actual floor-specific conditions, improving both reliability of issue detection and adaptability to varying floor characteristics without requiring manual reconfiguration.
Data Source
AI summary
A method for monitoring thresholds for performance attributes in an elevator system is provided. Aspects includes collecting, by a sensor affixed to an elevator car, sensor data associated with the elevator system wherein the sensor data comprises one or more performance attribute values for a set of performance attributes of the elevator system. Obtaining a threshold profile associated with the elevator system, wherein the threshold profile comprises thresholds for each performance attribute in the set of performance attributes of the elevator system. Comparing the one or more performance attribute values to corresponding thresholds for the set of performance attributes and transmitting an alert for any of the one or more performance attribute values exceeding the corresponding thresholds for the set of performance attributes.