The Application of Technology Aimed at Identifying the Risk of Fixed Elevated Objects Falling
| I&T Solution |
The Application of Technology Aimed at Identifying the Risk of Fixed Elevated Objects Falling
(REF: S-1720) |
| Trial Project |
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| Solution Feature |
- SOTA Deep Learning Models to
- Vibration Monitoring: Sensors capable of detecting changes in vibration patterns that indicate potential risks.
- Tilt Detection: Tilt sensors to monitor any changes in the angle of the ceiling fans, which could signify a loose screw or mounting issue.
- Noise Detection: Acoustic sensors to identify unusual sounds that might indicate mechanical problems.
- Alert System: An informative dashboard to provide operators with a comprehensive view of the status of all monitored ceiling fans
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| Trial Application and Expected Outcome |
- Pilot Testing: Install sensors on a selected number of ceiling fans in a designated location for a trial period.
- Baseline Data Collection: Gather baseline data on normal operating conditions to identify thresholds for anomalies.
- Anomaly Detection: During the trial, simulate conditions such as a loose screw to test the system’s ability to detect and alert.
- Alert System Evaluation: Assess the responsiveness and accuracy of the alert system in notifying operators of detected risks.
- Performance Review: Evaluate the overall performance of the system, including the accuracy of detection, the effectiveness of alerts, and the impact on maintenance operations.
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| Additional Solution Information |
The Application of Technology Aimed at Identifying the Risk of Fixed Elevated Objects Falling Proposal by Beyond Limits - 20240605.pdf
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| Info on I&T Solution Provider |
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For details of the above I&T solution, please contact the I&T solution provider.
