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 |
|
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
|
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.
|
Additional Solution Information |
The Application of Technology Aimed at Identifying the Risk of Fixed Elevated Objects Falling Proposal by Beyond Limits - 20240605.pdf
|
Info on I&T Solution Provider |
|
For details of the above I&T solution, please contact the I&T solution provider.