Smart cable chain system with vibration-based abnormality detection

The smart cable chain system with sensors and AI analysis addresses the challenge of detecting hidden defects by providing real-time alerts, enhancing maintenance efficiency and preventing damage.

KR102991201B1Active Publication Date: 2026-07-15KABI BII CO LTD

Patent Information

Authority / Receiving Office
KR · KR
Patent Type
Patents
Current Assignee / Owner
KABI BII CO LTD
Filing Date
2025-07-25
Publication Date
2026-07-15

AI Technical Summary

Technical Problem

Existing cable chains are difficult to detect abnormal conditions such as defects, wear, and aging, which can lead to cable and hose damage if not addressed promptly, especially in hidden locations where visual inspection is impossible.

Method used

A smart cable chain system equipped with sensors and an AI model that collects and analyzes vibration data to detect anomalies, providing real-time alerts and notifications of potential issues.

Benefits of technology

Enables early detection and notification of cable chain abnormalities, preventing damage and reducing operational losses by ensuring timely maintenance.

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Abstract

A smart cable chain system is disclosed. A smart cable chain system according to one embodiment of the present disclosure comprises: a cable chain including a fixed end and a moving end; a first sensor mounted on the fixed end; a second sensor mounted on the moving end; and a control device, wherein the control device: collects first vibration data from the first sensor and collects second vibration data from the second sensor; inputs the first vibration data and the second vibration data into a first artificial intelligence (AI) model to obtain information regarding whether there is an abnormality in the cable chain; and transmits a signal based on the information regarding whether there is an abnormality in the cable chain to a terminal device used by an administrator, wherein the information regarding whether there is an abnormality in the cable chain may include the probability of an abnormality in the cable chain and the type of abnormality in the cable chain.
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