Abnormal State Recognition System for Wire Rope Winding on Drum

In order to effectively monitor and avoid such failures of wire rope reels, Weite has developed an abnormal state identification system for wire rope winding on the reel based on video AI recognition technology. It helps producers monitor the status of equipment in real time and issue timely alarms when failures are detected, which helps to avoid accidents in advance.

System features:

1. Stable system: The abnormal winding of the drum wire rope can be identified 24 hours a day, and the alarm will be immediately triggered when an abnormality is found. At the same time, the abnormal situation can be captured, displayed and archived in pictures and videos.

2. High performance: Each frame detection is <100ms, the wire rope speed can be measured from 0 to 3m/s, the alarm notification is <1 second; the false recognition rate is ≤0.2%.

3. Controllable: The system can communicate with the equipment control unit, and the interlocking function can be realized after an abnormality is found.

4. Scalable: The system platform has complete functions, and can also transmit data to the outside and connect with other platforms for external expansion.

1. Camera: The camera is installed to form the underlying video monitoring and collection of the reel wire rope, and the camera to the video data processing box is connected by wire.

2. Intelligent inspection unit: Through the built-in precise rope recognition algorithm, the monitoring screen is monitored and abnormalities are identified based on deep learning and AI technology.

3. Display unit: It can be connected to a monitor for direct display, or access the intelligent inspection unit with a LAN host to complete the display.

4. Alarm output: When a fault is found, an early warning is issued in the form of sound and light.

In recent years, video surveillance technology has developed rapidly. Through video AI algorithms, more management functions can be realized. Weite uses AI visual recognition technology to innovate multiple applications in the field of lifting safety. The main ones are fatigue and distraction warning systems that monitor driver behavior, illegal intrusion systems in the hook working area that monitor regional dynamics, and abnormal state recognition systems for winding drum wire ropes.