Elevator Fingerprint Alerts for Hidden Error Detection
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Solution Overview
Problem
Elevator systems often produce data indicative of errors that are not readily identified by traditional error codes, necessitating a method to detect these errors based on patterns of behavior.
Innovation Solution
Implementing a fingerprint alert system that analyzes elevator operation data to identify specific error patterns, comparing them to predefined fingerprints to determine the presence of errors and alert technicians accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional error code monitoring is used, then the system structure remains simple, but error detection capability is insufficient for identifying subtle operational anomalies
Solution Approach 1:
The system pre-defines multiple error condition templates (fingerprints) that represent various failure modes. These templates are established in advance and stored in the computing device, allowing the system to proactively compare actual elevator data against known error patterns rather than waiting for traditional error codes to be triggered.
Solution Approach 2:
The error detection process is divided into distinct modules: data reception from the elevator, determination of whether error conditions are satisfied by comparing against predefined templates, and alert transmission to technicians. This segmentation allows each function to be optimized independently while maintaining overall system reliability.
2Measurement precision
If comprehensive elevator data analysis is implemented, then error identification accuracy improves, but data processing time and computational resources increase
Solution Approach 1:
The system analyzes specific predetermined parameters related to elevator operation (such as door operation sequences, motor current patterns, or position deviations) rather than processing all possible elevator data. By focusing only on the most relevant parameters for error detection, the system achieves high accuracy without the computational overhead of comprehensive data analysis.
3Productivity
If real-time error detection is implemented, then maintenance response time improves, but system resource consumption increases
Solution Approach 1:
The elevator system automatically monitors its own operation and generates alerts when error conditions are detected, eliminating the need for manual monitoring. The computing device autonomously compares elevator data against error templates and transmits alerts to technicians only when necessary, reducing unnecessary computational resource consumption while maintaining real-time detection capability.
Data Source
AI summary
Embodiments of the present disclosure are directed to a computing device comprising one or more processors configured to receive elevator data comprising a series of actions performed by an elevator during a predetermined period of time, determine whether the elevator data satisfies one or more error conditions, and upon determination that the elevator data satisfies one or more of the error conditions, transmit an alert to a technician associated with the elevator.