1. Expansion of AI-Edge-Based Factory Carbon Neutrality Support Service (AI-Edge 기반의 공장 탄소중립 지원 서비스 확산)
지원 : 정보통신산업진흥원(NIPA)
기간 : 2025. 05~ 2025. 12 (8 months)
참여기관 : (주)파워이십일, (주)에너지버스, 아주대학교, 인탑스(주)
Mid-sized manufacturers face challenges in achieving ESG targets and carbon neutrality due to fragmented operational environments and manual emission calculations. This project aims to build a platform that establishes an IoT-based carbon-emission measurement framework for real-time collection and aggregation of factory equipment data, automates data-driven process control via MES/ERP integration, and provides an AI-Edge Gateway service to support commercial carbon-neutral operations. To this end, we will develop optimal carbon-reduction operating strategies using MES scheduling information and forecasting services.
- Detect anomalies in real-time process measurement data using deep-learning models.
- Analyze the root causes of detected outliers and determine normal versus abnormal operation based on historical data with AI models.
- Use deep-learning models to detect abnormal patterns in time-series sensor data and analyze their causes.
- Analyze usage patterns through time-series decomposition of power consumption and peak periods, then forecast carbon emissions based on predicted equipment power usage.
- Support optimal scheduling by integrating forecast data with MES/ERP and propose optimal operating plans that reflect equipment schedules, production targets, and performance data.
