Elevator Misoperation Detection via Statistical Movement Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current elevator systems often experience significant delays in detecting and addressing misoperations, as users typically notice failures first and notify maintenance, leading to prolonged downtime before repairs can be made, as existing solutions only alert services after the elevator has stopped operating.
Innovation Solution
An elevator system with an observation unit that collects data on car movement and generates statistical parameters, comparing them to historical data to detect deviations, triggering a signal for potential misoperations before the elevator stops, allowing for proactive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a simple 'elevator moves/does not move'-indicator unit is provided, then the detection of elevator status is improved, but the detection timing is too late as it only alerts after the elevator has stopped operating
Solution Approach 1:
The system performs preliminary actions by continuously collecting and analyzing operational data (travel time, standing time, floor pairs) to establish baseline statistical parameters before a failure occurs. This enables the system to detect deviations indicating misoperation in advance, alerting maintenance personnel before the elevator stops, thus resolving the contradiction between detection precision and response time.
2Device complexity
If user notification is used to report failures, then the simplicity of the system is maintained, but significant delays occur between failure occurrence and maintenance intervention
Solution Approach 1:
The elevator system performs self-service by automatically monitoring its own operational parameters (travel time between floors, standing time at floors, origin-destination floor pairs) and comparing them against statistical baselines. When deviations indicate misoperation, the system autonomously generates alerts to maintenance personnel, eliminating the need for user reporting and significantly reducing downtime while maintaining acceptable system complexity.
3Loss of information
If the elevator control system directly sends failure codes to service units, then the information flow is improved, but the alert is still received after the elevator has already stopped
Solution Approach 1:
The system implements continuous feedback by monitoring operational data (travel time, standing time, floor pairs) and comparing real-time measurements against stored statistical parameters. When deviations exceed predetermined thresholds indicating misoperation, the system immediately generates feedback alerts to maintenance personnel. This continuous feedback loop enables early detection and proactive maintenance, reducing repair delays while improving information transmission about potential failures before they cause shutdowns.
Data Source
AI summary
The invention relates to an elevator system for observing a misoperation. The elevator system comprises an observation unit and a processing unit. The observation unit is configured to obtain data representing movement of an elevator car during a predetermined time interval and transmit the obtained data to the processing unit. The processing unit is configured to receive and store the data representing the movement of the elevator car, generate at least one statistical parameter from the received data, compare the at least one generated statistical parameter to at least one previously stored statistical parameter of the corresponding time interval, and generate a signal indicating a misoperation in response to a detection that the at least one generated statistical parameter deviates from the corresponding previously stored statistical parameter over a predetermined limit. The invention also relates to a method for observing a misoperation.