• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE transactions on industrial informatics >PigTalk: An AI-Based IoT Platform for Piglet Crushing Mitigation
【24h】

PigTalk: An AI-Based IoT Platform for Piglet Crushing Mitigation

机译：Pigtalk：用于仔猪压碎缓解的基于AI的IOT平台

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

On pig farms, many piglets die because they are crushed when sows roll from side to side or lie down. On average, 1.2 piglets are crushed by sows every day. To resolve the piglet mortality issue, this article proposes PigTalk, an artificial intelligence (AI) based Internet of Things (IoT) platform for detecting and mitigating piglet crushing. Through real-time analysis of the voice data collected in a farrowing house, PigTalk detects if any piglet screaming occurs, and automatically activates sow-alert actuators for emergency handling of the crushing event. We propose an audio clip transform approach to pre-process the raw voice data, and utilizes min-max scaling in machine learning (ML) to detect piglet screams. In our first contribution, the above data preprocessing method together with subtle parameter setups of the machine learning model improve the piglet scream detection accuracy up to 99.4%, which is better than the previous solutions (up to 92.8%). In our second contribution, we show how to design two cyber IoT devices, i.e., DataBank for data pre-processing and ML_device for real-time AI to automatically trigger actuators such as floor vibration and water drop to force a sow to stand up. We conduct analytic analysis and simulation to investigate how the detection delay affects the critical time period to save crushed piglets. Our study indicates that PigTalk can save piglets within 0.05 s with 99.93% of the successful rate. Such results are validated in a commercial farrowing house. PigTalk is a new approach that automatically mitigates piglet crushing, which could not be achieved in the past.
机译：在养猪场，许多仔猪死亡，因为当母猪从一侧到侧面或躺下时，它们被压碎或躺下。平均而言，每天母猪都会压碎1.2只仔猪。为了解决Piglet死亡率问题，本文提出了基于人工智能（AI）的物联网（物联网）的检测和减轻仔猪压碎的平台。通过对盗用房屋收集的语音数据的实时分析，仔猪检测是否发生了任何仔猪尖叫，并自动激活播种机警报执行器以进行粉碎事件的紧急处理。我们提出了一种音频剪辑变换方法来预处理原始语音数据，并利用机器学习（ML）中的MIN-MAX缩放来检测仔猪尖叫声。在我们的第一种贡献中，上述数据预处理方法与机器学习模型的微妙参数设置一起提高了仔猪尖叫检测精度，高达99.4％，比以前的解决方案更好（高达92.8％）。在我们的第二款贡献中，我们展示了如何设计两个网络IOT设备，即数据预处理和ML_DEVICE的数据库，用于自动触发挡板振动和水滴，以强制播种器站起来。我们进行分析分析和仿真以调查检测延迟如何影响临界时间段以节省碎仔猪。我们的研究表明，仔猪可以将仔猪保存在0.05秒内，占成功率的99.93％。这些结果在商业划分的房屋中验证。 Pigtalk是一种新的方法，可自动减轻仔猪压碎，这在过去无法实现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号