未来智能奶牛养殖的智能监控系统

Marco Bovo, S. Benni, A. Barbaresi, Enrica Santolini, Miki Agrusti, D. Torreggiani, P. Tassinari
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引用次数: 4

摘要

该研究介绍了在国家研究项目背景下设计的监测系统的目标、方法和技术特点,该项目为智能奶牛养殖提出了创新的技术解决方案,以提高牛群的生产力。该项目的主要目标是改善奶牛的环境条件和动物福利,从而提高繁殖和产量。在这方面,这里所描述的系统具有作为更有效地管理牛群和牛群住房的工具的基本作用。事实上,在过去几年中,通过整合信息通信技术(ICT)系统和模型来分析和解释所收集的数据,动物控制技术和农场环境监测已经得到了越来越大的发展。在这一领域,可以有效地实施智能监控系统(SMS),以提高动物福利,同时提高动物产量。整合不同类型的传感器、不同类型的数据和不同类型的模型是畜群管理的现代技术和旨在提高乳制品部门可持续性的工具的基础。该系统在定制的系统架构中集成了专门设计的传感器网络。它可以从收集室内和室外环境特征开始,获取有关奶牛群所在设施的物理和环境条件的大数据时间序列,从而实现对设施的智能控制,对运行条件进行诊断,并在异常情况下进行早期警报。该系统已开发用于多种环境情况,并能够在云中远程实时获取数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Smart Monitoring System for a Future Smarter Dairy Farming
The study presents the objectives, methodologies and technical features of a monitoring system designed in the context of a national research project proposing innovative technical solutions for smart dairy farming in order to increase the herd productivity. The main objective of the project was to improve environment conditions and animal welfare of dairy cows and consequently enhance reproduction and production. To this regard, the system described here has a fundamental role operating as a tool for a more efficient management of the herd and of the herd housing. In fact, in the last years, animal control techniques and farm environmental monitoring have been developed, with increasing intensity, through the integration of Information Communication Technology (ICT) systems and models for the analysis and interpretation of the data collected. In this field, the Smart Monitoring System (SMS) described here could be effectively implemented in order to increase the animal welfare but at the same time increase the animal production. The integration of different type of sensors, different type of data and different type of models is at the base of the modern techniques for herd management and of the tools aiming to increase the dairy sector sustainability. The system integrates specifically designed sensor networks in a customized system architecture. It allows the acquisition of big data time series about physical and environmental conditions of the facilities hosting the cow herds starting from the collection of both indoor and outdoor environmental features, enabling a smart control of the facility, a diagnosis of the operating conditions, and early alerts in case of anomalies. The system has been developed to work in several environmental situations and is able to make the data remotely available in real time in a cloud.
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