The project aims to create a Greenhouse Industry 4.0 Digital Twin software platform for combining the Industry 4.0 technologies (IoT, AI, Big Data, cloud computing, and Digital Twins) as integrated parts of the greenhouse production systems. The integration provides a new disruptive approach for vertical integration and optimization of the greenhouse production processes to improve energy efficiency, production throughput, and productivity without compromising product quality or sustainability. Applying the Industry 4.0 Digital Twin concept to the Danish horticulture greenhouse industry provides digital models for simulating and evaluating the physical greenhouse facility’s performance. A Digital Twin combines modeling, AI, and Big Data analytics with IoT and traditional sensor data from the production and cloud-based enterprise data to predict how the physical twin will perform under varying operational conditions. The Digital Twins support the co-optimization of the production schedule, energy consumption, and labor cost by considering influential factors, including production deadlines, quality grading, heating, artificial lighting, energy prices (gas and electricity), and weather forecasts. The ecosystem of digital twins extends the state-of-the-art by adopting a scalable distributed approach of “system of systems” that interconnects Digital Twins in a production facility. A collection of specialized Digital Twins are linked together to describe and simulate all aspects of the production chain, such as overall production capacity, energy consumption, delivery dates, and supply processes. The contribution of this project is to develop an ecosystem of digital twins that collectively capture the behavior of an industrial greenhouse facility. The ecosystem will enable the industrial greenhouse facilities to become increasingly active participants in the electricity grid.

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温室工业 4.0 – 用于商业温室的数字孪生技术

该项目旨在创建一个温室工业 4.0 数字孪生软件平台，将工业 4.0 技术（物联网、人工智能、大数据、云计算和数字孪生）结合为温室生产系统的集成部分。这种整合为温室生产过程的垂直整合和优化提供了一种新的颠覆性方法，以在不影响产品质量或可持续性的情况下提高能源效率、生产吞吐量和生产力。将工业 4.0 数字孪生概念应用于丹麦园艺温室行业，为模拟和评估物理温室设施的性能提供数字模型。数字孪生结合了建模、人工智能、使用 IoT 和来自生产和基于云的企业数据的传统传感器数据进行大数据分析，以预测物理双胞胎在不同操作条件下的表现。数字孪生通过考虑影响因素，包括生产期限、质量等级、供暖、人工照明、能源价格（天然气和电力）和天气预报，支持生产计划、能源消耗和劳动力成本的协同优化。数字孪生生态系统通过采用“系统系统”的可扩展分布式方法扩展了最先进的技术，该方法将生产设施中的数字孪生互连。一组专门的数字孪生被链接在一起，以描述和模拟生产链的各个方面，例如整体生产能力、能源消耗、交货日期和供应流程。该项目的贡献是开发一个数字孪生生态系统，共同捕捉工业温室设施的行为。该生态系统将使工业温室设施成为越来越活跃的电网参与者。