Data Architecture for Digital Twin of Commercial Greenhouse Production

Daniel Anthony Howard*, Zheng Ma, Jesper Peter Mazanti Aaslyng, Bo Nørregaard Jørgensen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

There is an increasing demand for industry-specific solutions for optimizing production processes with the transitions towards Industry 4.0. The commercial greenhouse sector relies heavily on optimal use of energy with multiple new concepts introduced in recent years e.g. vertical farming and urban agriculture. Digital twins allow utilizing the Internet of Things and big data to simulate the alternative operation strategies without compromising current operation. This paper aims to present the development of a digital twin of the commercial greenhouse production process as a part of the recently launched EUDP funded project Greenhouse Industry 4.0 in Denmark. This digital twin allows using big data and the Internet of Things to optimize the greenhouse production process and communicate with other digital twins representing essential areas in the greenhouse (climate and energy). This digital twin can estimate future states of the greenhouse by using past and real-time data inputs from databases, sensors, and spot markets. This paper also introduces a Smart Industry Architecture Model Framework for the discussion of the required data architecture of the digital twin for the greenhouse production flow which ensures a correct data architecture for the data exchange across all entities in the system.

Original languageEnglish
Title of host publicationProceedings - 2020 RIVF International Conference on Computing and Communication Technologies, RIVF 2020
Number of pages7
PublisherIEEE
Publication date21. Jul 2020
ISBN (Electronic)978-1-7281-5377-3
DOIs
Publication statusPublished - 21. Jul 2020
EventTHE 2020 RIVF INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION TECHNOLOGIES - Ho Chi Minh City, Viet Nam
Duration: 6. Apr 20207. Apr 2020

Conference

ConferenceTHE 2020 RIVF INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION TECHNOLOGIES
CountryViet Nam
CityHo Chi Minh City
Period06/04/202007/04/2020

Keywords

  • industry 4.0
  • commercial greenhouse
  • digital twin
  • data architecture
  • production process

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