基于畜牧环境污染治理的动物疫病防治措施研究

Research on Animal Disease Control Based on Livestock Environmental Pollution Control

为从根本上阻断动物疫病的产生与传播,提出基于畜牧环境污染治理的动物疫病防治措施。采用环境感知传感器采集数据,对采集的数值数据和多媒体数据分别进行分布图算法滤除处理与本地存储结点标识处理,以VRML场景建模语言编程后,创建高分辨率多类型的畜牧环境三维模型资源库,实现虚拟系统和监管人员的虚拟漫游交互,达到实时治理畜牧环境污染、有效防治动物疫病的效果。以某地区养猪场为实验对象进行实验研究,所研究方法采集数据精准可靠,能够实现对畜牧环境污染的有效治理。

In order to fundamentally block the occurrence and spread of animal diseases,animal diseases prevention and control measures based on pollution control of the livestock environment are proposed.This paper uses environment-sensing sensors to collect data,perform distribution map algorithm filtering processing and local storage node identification processing on the collected numerical data and multimedia data,and create a high-resolution multi-type three-dimensional animal husbandry environment after programming with VRML scene modeling language The model resource library realizes the virtual roaming interaction between the virtual system and the supervisory personnel,and achieves the effect of real-time control of animal husbandry environmental pollution and effective prevention and control of animal diseases.Taking a pig farm in a certain area as the experimental object,the results show that the data collected by the research method is accurate and reliable,and can effectively control the pollution of the livestock environment.