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| 基于物联网的南美白对虾疾病远程智能诊断系统 |
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刘双印1,2,3,4, 徐龙琴1, 李道亮2,3,4, 段青玲2,3,4, 魏晓华3,4
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| (1.广东海洋大学 信息学院, 广东 湛江 524025;2.中国农业大学 信息与电气工程学院, 北京 100083;3.中国农业大学 北京市农业物联网工程技术研究中心, 北京 100083;4.中国农业大学 先进农业传感技术北京市工程研究中心, 北京 100083) |
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| 摘要: |
| 为降低南美白对虾养殖风险，提高其疾病诊断与防治水平，将多种传感器在线采集的对虾养殖生态环境数据、3G手机获取的疾病图片和疾病诊治经验等多种数据进行融合，采用基于案例推理和规则推理相集成的混合推理、粗糙集融合多分类支持向量机、图像处理等多种方法，研制了基于物联网的南美白对虾疾病远程智能诊断系统。在浙江、广东等省对虾养殖区域进行现场验证，试验结果表明：该系统不仅实现了远程监测对虾养殖生态环境数据、对虾疾病图像、诊治经验数据和诊治推理规则等知识管理功能，还能够在多种数据融合的基础上，实现对虾疾病远程智能诊断与防治、疾病预警等功能。 |
| 关键词: 物联网 南美白对虾 疾病诊断 MVC架构 |
| DOI：10.11841/j.issn.1007-4333.2014.02.28 |
| 投稿时间：2013-07-17 |
| 基金项目:国家科技支撑计划项目（2011BAD21B01）；宁波市农业重点科技攻关项目（2011C11006）；广东省科技计划项目（2011B040200034，2012B091100431）；广东省自然科学基金项目（S2013010014629） |
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| Research on remote system for disease diagnosis of Penaeus vannamei based on Internet of things |
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LIU Shuang-yin1,2,3,4, XU Long-qin1, LI Dao-liang2,3,4, DUAN Qing-ling2,3,4, WEI Xiao-hua3,4
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| (1.College of Information, Guangdong Ocean University, Zhanjiang 524025, China;2.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;3.Beijing ERC for Internet of Things in Agriculture, China Agricultural University, Beijing 100083, China;4.Beijing ERC for Advanced Sensor Technology in Agriculture, China Agricultural University, Beijing 100083, China) |
| Abstract: |
| To reduce farming risks of Penaeus vanmamei and improve the performance of disease diagnosis,this research merged information,such as living environment quality acquired by sensors,image data captured by 3G phones,and diagnosis records,to establish a remote intelligent disease diagnosis system.Hybrid reasoning based on case and rule,multi-classification support vector machine (SVM)based on rough set,and image processing were integrated in the system building.The system was applied in Zhejiang and Guangdong province in China.The experimental results show that the system cannot only monitor the information such as the living condition and image,but also manage the diagnosis records and rules.In addition,the system can be as an efficient tool for disease diagnosis and prevention of Penaeus vanamei. |
| Key words: Internet of things Penaeus vannamei disease diagnosis MVC architecture |
