Elevator Hoistway Maintenance Detection via CSI Imaging
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Solution Overview
Problem
The difficulty in monitoring elevator maintenance behaviors within the elevator hoistway due to its challenging environment, such as poor lighting and obstructed views, makes it hard for external observers to ensure that maintenance operations are performed safely and according to norms.
Innovation Solution
A system that uses Channel State Information (CSI) to detect elevator maintenance behaviors by emitting and receiving wireless signals, processing them to generate CSI images, and employing a CSI image recognition model, such as a convolution neural network, to identify and classify maintenance behaviors, including dangerous ones, and provide reminders for unsafe actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional visual monitoring methods are used to monitor elevator maintenance behaviors, then the monitoring process is simple, but the monitoring capability is insufficient due to poor lighting and obstructed views in the elevator hoistway
Solution Approach 1:
The patent replaces traditional visual monitoring methods with a wireless signal-based detection system. The system uses wireless signals (e.g., WiFi) to transmit Channel State Information (CSI) through the elevator hoistway, eliminating the need for direct visual observation. This substitution of mechanical/visual monitoring with electromagnetic signal-based detection resolves the contradiction by enabling reliable monitoring despite poor lighting and obstructed views, while avoiding the complexity of installing physical cameras and visual monitoring infrastructure.
Solution Approach 2:
The patent introduces wireless signals as an intermediary medium to transmit information about maintenance behaviors. Instead of directly observing maintenance activities, the system uses wireless signals as a mediator that can penetrate the elevator hoistway environment and carry CSI data. This intermediary approach enables reliable detection of maintenance behaviors through signal analysis rather than direct visual monitoring, solving the contradiction between monitoring reliability and system complexity.
2Reliability
If maintenance staff perform maintenance operations independently in the elevator hoistway, then the maintenance efficiency is high, but the safety risk increases due to inability to supervise maintenance operations
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors maintenance behaviors through wireless signal analysis and provides real-time information about maintenance activities. The system collects CSI data, processes it to identify maintenance behaviors, and provides feedback about safety compliance. This feedback mechanism enables safety supervision without requiring constant physical presence, thus improving safety while maintaining maintenance efficiency through automated monitoring rather than manual supervision.
Solution Approach 2:
The system enables self-service monitoring where the maintenance environment itself provides the monitoring capability through embedded wireless signal analysis. The maintenance hoistway environment, combined with wireless signal transmission, creates a self-monitoring system that detects and reports maintenance behaviors automatically. This self-service approach improves safety through automated detection while avoiding the need for additional human supervisors, thus maintaining high maintenance efficiency.
3Ease of operation
If the elevator hoistway environment is used for maintenance operations, then the maintenance functionality is complete, but the monitoring difficulty increases due to poor light and blocked environment
Solution Approach 1:
The patent substitutes mechanical/visual monitoring systems with electromagnetic signal-based detection. By using wireless signals that can propagate through the elevator hoistway environment and analyze Channel State Information, the system overcomes the limitations of poor lighting and blocked views. This substitution maintains full maintenance operation accessibility while dramatically reducing monitoring difficulty through non-visual signal analysis.
Solution Approach 2:
The patent changes the monitoring parameter from visual observation to wireless signal characteristics. Instead of relying on light-based visual monitoring that fails in the elevator hoistway environment, the system uses electromagnetic signal parameters (CSI) that can be measured regardless of lighting conditions or physical obstructions. This parameter change enables easy maintenance operations while eliminating the monitoring difficulty associated with the hoistway environment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system effectively monitors and classifies elevator maintenance behaviors, ensuring safety by accurately identifying dangerous operations and promoting adherence to maintenance norms, even in challenging environments.
Implementation Method 1
an emitting component for emitting wireless signals including the Channel State Information (CSI) into the elevator hoistway
Implementation Method 2
a receiving component for receiving the CSI from the elevator hoistway
Data Source
AI summary
A system and method for detecting elevator maintenance behaviors in an elevator hoistway. The system of the invention comprises: an emitting component for emitting wireless signals including channel state information (CSI) into the elevator hoistway; a receiving component for receiving the CSI from the elevator hoistway; and a maintenance behavior detecting device, which comprises: a memory that stores CIS image recognition models constructed corresponding to the predefined elevator maintenance behaviors and a corresponding computer program executable on a processor, and the processor configured to be able to execute the computer program to implement the following operations: processing data of the received CSI to obtain a CSI image corresponding to the elevator maintenance behavior detected, and inputting the CSI image to the CSI image recognition model for analysis and processing so as to detect the elevator maintenance behavior.