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通过开源、低成本、低能耗的蓝牙标签系统监测牛在畜棚中的位置。

Monitoring of Cow Location in a Barn by an Open-Source, Low-Cost, Low-Energy Bluetooth Tag System.

机构信息

Natural Resources Institute Luke (Finland), Latokartanonkaari 9, 00790 Helsinki, Finland.

出版信息

Sensors (Basel). 2020 Jul 9;20(14):3841. doi: 10.3390/s20143841.

Abstract

Indoor localization of dairy cows is important for cow behavior recognition and effective farm management. In this paper, we propose a low-cost system for low-accuracy cow localization based on the reception of signals sent by an acceleration measurement system using the Bluetooth Low Energy protocol. The system consists of low-cost tags and receiving stations. The tag specifications and the localization accuracy of the system were studied experimentally. The received signal strength propagation model and dependence on the tag orientation was studied in an open-space and a barn environment. Two experiments for the evaluation of localization accuracy were conducted with 35 and 19 cows for two days. The localization reference was achieved from feeding stations, a milking robot and videos of cows decoded manually. The localization accuracy (mean ± standard deviation) was 3.27 ± 2.11 m for the entire barn (10 × 40 m) and 1.9 ± 0.67 m for a smaller area (4 × 5 m). The system can be used for recognizing long-distance walking, crowded areas in the barn, e.g., queues to milking robots, and cow's preferable locations. The estimated system cost was 500 + 20 × (cow number) € for one barn. The system has open-access software and detailed instructions for its installation and usage.

摘要

奶牛的室内定位对于牛行为识别和有效的农场管理很重要。在本文中,我们提出了一种基于蓝牙低能耗协议的加速度测量系统信号接收的低成本、低精度奶牛定位系统。该系统由低成本的标签和接收站组成。实验研究了标签规格和系统的定位精度。研究了在开放空间和畜舍环境中信号传播模型与标签方向的关系。进行了两次定位精度评估实验,使用了 35 头和 19 头奶牛,持续两天。定位参考是通过饲料站、挤奶机器人和人工解码的奶牛视频获得的。整个畜舍(10×40 米)的定位精度(平均值±标准差)为 3.27±2.11 米,较小区域(4×5 米)的定位精度为 1.9±0.67 米。该系统可用于识别远距离行走、畜舍拥挤区域,例如挤奶机器人前的队列,以及奶牛的偏好位置。估计的系统成本为一个畜舍 500 + 20×(奶牛数量)欧元。该系统有开放获取的软件,以及详细的安装和使用说明。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/044e/7411946/1e8c297b6f9c/sensors-20-03841-g001.jpg

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