Toru Mizuya
Papers
1
Total Citations
15
H-Index
1
About
Toru Mizuya is a researcher specializing in industrial IoT (IIoT) and data acquisition systems, with a particular focus on the interoperability and efficiency of field device communication. His work addresses critical challenges in modern control and measurement systems, where handling complex, structured data and enabling frequent, reliable transfers are paramount. Mizuya’s major contribution is demonstrated in his highly cited 2017 case study, which explores the practical integration of OPC UA and MQTT protocols for data acquisition from field devices. This work, with 15 citations, provides a foundational framework for combining the robust, standardized data modeling of OPC UA with the lightweight, publish-subscribe efficiency of MQTT—a synergy essential for scalable IoT deployments. By showcasing a real-world implementation, Mizuya has helped bridge the gap between traditional industrial automation and modern cloud-connected systems. His research is particularly valuable for engineers and researchers seeking to optimize data pipelines in smart manufacturing and Industry 4.0 environments, offering a clear, actionable path for achieving seamless, high-frequency data transfer from the shop floor to enterprise systems.
Research Focus
Key Achievements
Top Papers
- 1A case study of data acquisition from field devices using OPC UA and MQTT15 citations · 2017