• Title/Summary/Keyword: OPC UA

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A Study On XML Based Open Service Platform For Demand-Side Resource Management (XML 기반의 수요자원 관리 개방형 서비스 플랫폼에 관한 연구)

  • Yoon, Jae-Weon;Um, Dae-Jin;Choi, Jung-In;Lee, Ingyu
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.10
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    • pp.43-48
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    • 2014
  • With the energy paradigm shift from supply side management to demand side management, many researches have been done on demand side resource management and demand response. At the same time, Obix, BacNet-WS and OPC-UA are popularly used in buildings and industry energy management system. However, it is not easy to interchange the data and information among the systems cause a variety of protocols are used in buildings and factories. Therefore, in this paper, we are proposing an open business platform not only to integrate and manage the demand resources using various protocols and standards, but also to allow to plug-ins a new business service on top of the platform.

The Development of a Energy Monitoring System based on Data Collected from Food Factories (식품공장 수집 데이터 기반 에너지 모니터링 시스템 개발)

  • Chae-Eun Yeo;Woo-jin Cho;Jae-Hoi Gu
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.1001-1006
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    • 2023
  • Globally, rising energy costs and increased energy demand are important issues for the food processing and manufacturing industries, which consume significant amounts of energy throughout the supply chain. Accordingly, there is a need for the development of a real-time energy monitoring and analysis system that can optimize energy use. In this study, a food factory energy monitoring system was proposed based on IoT installed in a food factory, including monitoring of each facility, energy supply and usage monitoring for the heat treatment process, and search functions. The system is based on the IoT sensor of the food processing plant and consists of PLC, database server, OPC-UA server, UI server, API server, and CIMON's HMI. The proposed system builds big data for food factories and provides facility-specific monitoring through collection functions, as well as energy supply and usage monitoring and search service functions for the heat treatment process. This data collection-based energy monitoring system will serve as a guide for the development of a small and medium-sized factory energy monitoring and management system for energy savings. In the future, this system can be used to identify and analyze energy usage to create quantitative energy saving measures that optimize process work.