Miso Information Technology Selected for KRW 13.8 Billion AI-Based Mold Predictive Maintenance R&D Project
TECHWORLD ·
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Miso Information Technology has been selected as a participating organization in the government-funded R&D project "Tandem Press Autonomous Manufacturing," led by the Ministry of Trade, Industry and Energy, with a total project budget of KRW 13.8 billion.
The project will develop AI-based autonomous manufacturing technology by targeting tandem presses, a key piece of equipment in auto parts manufacturing processes, and pursuing automation of mold replacement and anomaly detection and control.
Miso Information Technology will integrate equipment, sensor, production, and quality data from manufacturing sites, use AI to predict changes in mold conditions and signs of anomalies in advance, and take charge of developing a manufacturing AI data platform and predictive maintenance technology.
Miso Information Technology said on the 20th that it had been selected as a participating organization in the government-funded R&D project "Tandem Press Autonomous Manufacturing," led by the Ministry of Trade, Industry and Energy, with a total project budget of KRW 13.8 billion.
The project will focus on tandem presses, a key piece of equipment in auto parts manufacturing processes, and aims to automate mold replacement and automate anomaly detection and control for tandem presses while developing AI-based autonomous manufacturing technology.
The lead company is Sewon Metal, an auto parts specialist. The project’s goals are to cut single mold replacement time to within 5 minutes, raise process unmanned operation to 90%, and achieve 98% anomaly detection accuracy.
Miso Information Technology will integrate equipment, sensor, production, and quality data from manufacturing sites and use AI to detect changes in mold conditions and predict signs of anomalies in advance. It will also be responsible for developing a manufacturing AI data platform and predictive maintenance technology.
Miso Information Technology plans to use data collection technology based on its IoT platform (IoT Prism) and integrate heterogeneous equipment data using a data lake. It also plans to apply an AI model trained on past failure histories and anomaly signs to analyze and predict mold conditions.
It also plans to pursue automation of major processes such as press forming, welding, and inspection, along with the integration of AI-based analysis and decision-making technologies. Through this, it aims to improve production efficiency and quality, and to implement an intelligent manufacturing environment capable of process optimization as well as an intelligent manufacturing environment capable of autonomous operation.
Miso Information Technology CEO Nam Sang-do said the project is meaningful in that it applies data integration and AI technologies to solving key problems in actual manufacturing sites. He also said the company plans to expand the use of AI across manufacturing, starting with mold predictive maintenance and extending to equipment anomaly diagnosis, quality prediction, and process optimization, while expressing its determination to accelerate the realization of an autonomous manufacturing environment.
Source: TECHWORLD · Lee Gwang-jae
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408426
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Source: TECHWORLD
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