关键词: Aquaculture Precision Fish Farming bioenergetic model digital twin land-based aquaculture recirculating aquaculture system trout

来  源:   DOI:10.12688/openreseurope.14145.1   PDF(Pubmed)

Abstract:
The virtual, digital counterpart of a physical object, referred as digital twin, derives from the Internet of Things (IoT), and involves real-time acquisition and processing of large data sets. A fully implemented system ultimately enables real-time and remote management, as well as the reproduction of real and forecasted scenarios. Under the emerging framework of Precision Fish Farming, which brings control-engineering principles to fish production, we set up digital twin prototypes for land-based finfish farms. The digital twin is aimed at supporting producers in optimizing feeding practices, oxygen supply and fish population management with respect to 1) fish growth performances; 2) fish welfare, and 3) environmental loads. It relies on integrated mathematical models which are fed with data from in-situ sensors and from external sources, and simulate several dynamic processes, allowing the estimation of key parameters describing the ambient environment and the fishes. A conceptual application targeted at rearing cycles of rainbow trout ( Oncorhynchus mykiss) in an operational in-land aquafarm in Italy is presented. The digital twin takes into account the disparate levels of automation and control that are found within this farm, and considerations are made on preferential directions for future developments. In spite of its potential, and not only in the aquaculture sector, the development of digital twins is still at its early stage. Furthermore, Precision Fish Farming applications in land-based systems as well as targeted at rainbow trout are novel developments.
A digital twin is set up for a rainbow trout ( Oncorhynchus mykiss) aquaculture farm located in northern Italy. The farm is equipped with large-scale basins, and are supplied by freshwater from the neighbouring Sarca river. Generally speaking, digital twins are virtual, digital representations which mirror and are connected to real objects, enabling real-time and remote management, as well as the reproduction of real or forecasted scenarios. This is a pioneer application aimed at supporting producers in optimizing feeding practices, oxygen supply and fish population management with respect to 1) fish growth performances; 2) fish welfare, and 3) environmental loads. The digital twin relies on sensors, Big Data, IoT (Internet of Things) and predictive mathematical models. In spite of its potential, and not only in the aquaculture sector, the development of digital twins is still at its early stage. Furthermore, Precision Fish Farming applications in land-based systems as well as targeted at rainbow trout are novel developments.
摘要:
虚拟的,物理对象的数字对应物,称为数字孪生,源自物联网(IoT),涉及大型数据集的实时采集和处理。一个完全实施的系统最终实现了实时和远程管理,以及真实和预测情景的再现。在新兴的精准养鱼框架下,这给鱼类生产带来了控制工程原理,我们为陆上有鳍鱼类养殖场建立了数字孪生原型。数字孪生旨在支持生产者优化喂养方式,氧气供应和鱼类种群管理,涉及1)鱼类生长性能;2)鱼类福利,3)环境负荷。它依赖于集成的数学模型,这些模型来自原位传感器和外部来源的数据,模拟几个动态过程,允许估计描述周围环境和鱼类的关键参数。提出了针对意大利陆地水产养殖场中虹鳟鱼(Oncorhynchusmykiss)饲养周期的概念应用。数字孪生考虑了在这个农场中发现的不同级别的自动化和控制,并考虑了未来发展的优先方向。尽管有潜力,不仅在水产养殖领域,数字孪生的发展仍处于早期阶段。此外,精确鱼类养殖在陆基系统中的应用以及针对虹鳟鱼的应用是新颖的发展。
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