Hankook Tire Develops AI and IoT-Based 'Equipment Anomaly Detection and Prediction System'

Increase Prediction Accuracy Fourfold with 3-Stage AI Algorithm-Based Model

Hankook Tire & Technology Geumsan Plant (Photo by Hankook Tire & Technology)

[Asia Economy Reporter Kim Ji-hee] Hankook Tire & Technology announced on the 20th that it has developed an equipment anomaly detection and prediction system called 'CMS+' utilizing artificial intelligence (AI) and Internet of Things (IoT) technologies. The new system is characterized by its ability to accurately identify early signs of equipment anomalies compared to existing systems, enabling faster response.

Typical equipment anomaly detection and prediction systems operate by collecting vibration and noise information through sensors attached to key components of the equipment, which experts then analyze directly to determine the presence of anomalies. In contrast, CMS+ is based on a three-stage AI algorithm of the 'next-generation wireless-based IoT module-gateway-server,' allowing data analysis with prediction accuracy up to four times higher than existing systems.

First, unlike the previous method of collecting sensor data at fixed intervals, the stage 1 IoT module collects data every second. The next-generation wireless-based IoT module and gateway, jointly developed with KAIST, are equipped with proprietary AI algorithms that selectively collect suspicious data and gather and store only the necessary data.

At stages 2 and 3, the gateway and server perform deep analysis of the collected data based on deep learning. By comprehensively analyzing sensor data, temperature, and operational information, the system predicts equipment anomalies early and immediately notifies the equipment manager via smartwatch using wireless communication technology as soon as an anomaly is detected.

Hankook Tire is currently operating the new system on model equipment at domestic factories and plans to expand the system to all global factories in the future. Additionally, the company is advancing the technology by integrating augmented reality (AR) technology to make it easier to understand data flows that are difficult to verify on-site. Through joint research and development with KAIST, Hankook Tire plans to gradually expand its AI capabilities and focus on building smart factories.

This content was produced with the assistance of AI translation services.