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基于NB-IoT的非洲猪瘟防控装置的研究

Research on African Swine Fever Prevention and Control Device Based on NB-IoT
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摘要 【目的】非洲猪瘟感染性强、传播速度快,对我国养猪场带来了巨大的养殖风险,研究NB-IoT技术与养猪场的消毒需求具有重要的现实意义。【方法】在理论分析NB-IoT技术、非洲猪瘟病毒防控理念的前提下,通过NB-IoT网络分析养猪场中的各项数据,采用由养殖场的湿度、温度、CO_(2)三位一体的传感器监测设备、显示屏、云服务、电脑端云平台组成的环境监测系统,通过STM32单片机,反馈环境状况,向电阀门发出指令,喷洒消毒水。【结果】笔者设想的基于NB-IoT的非洲猪瘟防控装置采用创新的消毒方式实现了对养猪场的定期消毒,并在NB-IoT的控制下,可以实现对养猪场的远程监控及实时传输环境监测数据。【结论】NB-IoT技术在养猪场中的应用可以达到有效预防非洲猪瘟病毒的效果,减小非洲猪瘟病毒对我国养猪场产生的影响。 [Objective]African swine fever is highly infectious and spreads rapidly,which has brought huge breeding risks to China’s pig farms.It is of great practical significance to study the NB-IoT technology and the disinfection needs of pig farms.[Method]On the premise of theoretical analysis of NB-IoT technology and the prevention and control concept of African swine fever virus,the NB-IoT network was used to analyze the data in the pig farm.The environmental monitoring system consisting of sensor monitoring equipment,display screen,cloud service and computer cloud platform,which was composed of humidity,temperature and CO2 in the farm,was used to feed back the environmental conditions through STM32 single chip computer,send instructions to the electric valve and spray disinfection water.[Result]The African swine fever prevention and control device based on NB-IoT envisaged by the author adopted innovative disinfection methods to achieve regular disinfection of pig farms,and under the control of NB-IoT,it can achieve remote monitoring of pig farms and real-time transmission of environmental monitoring data.[Conclusion]The application of NB-IoT technology in pig farms can effectively prevent African swine fever virus and reduce the impact of African swine fever virus on China’s pig farms.
作者 马彩霞 Ma Caixia(Jiangsu University,Jiangsu Zhenjiang 212400)
机构地区 江苏大学
出处 《南方农机》 2023年第9期21-23,共3页
基金 江苏省高校大学生创新创业训练项目“基于NB-IoT的非洲猪瘟防控装置研究”(202113103026Y)。
关键词 NB-IoT技术 STM32 非洲猪瘟病毒(ASFV) 云平台 NB-IoT technology STM32 African swine fever virus(ASFV) cloud platform
作者简介 马彩霞(2001—),女,江苏南通人,本科,研究方向为物联网工程。
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