[Case Study] Smart Factory Management System
Collect and analyze equipment operation and environmental data using IoT sensors to improve production efficiency and quality!
We would like to introduce a case study of the development of a "Smart Factory Management System" at our company. During the development, we faced challenges such as data integration and normalization from various sensors (vibration, temperature, pressure, etc.). To overcome these challenges, we implemented data pipeline design, anomaly detection algorithms, and enhanced UI for on-site use. 【Technical Challenges】 ■ Data integration and normalization from various sensors (vibration, temperature, pressure, etc.) ■ Robust analysis processing against noise interference and data loss ■ Design of a visualization dashboard that is user-friendly for on-site workers *For more details, please download the PDF or feel free to contact us.
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【Main Achievements】 ■ Equipment Preventive Maintenance: 30% improvement in failure detection rate ■ Operating Rate: 15% reduction in downtime ■ Detection of Quality Anomalies: 20% reduction in defect rate ■ Response to Environmental Changes: Immediate alerts for temperature and humidity fluctuations *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
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Our company acts based on a sense of "mission" as "IT professionals," focusing on the "thoughts" of each individual customer to lead them to success. We contribute to stable energy supply through energy solutions utilizing AI and IoT. Additionally, we provide services globally across our entire company group, including overseas locations. Please feel free to contact us if you have any requests.