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基于手机APP的O2O住房空气质量测评系统

O2OHousing Air Quality Inspection and Evaluation System Based on Mobile APP

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【作者】 颜鑫陈向东

【Author】 Yan Xin;Chen Xiangdong;School of Information Science and Technology,Southwest Jiaotong University;

【机构】 西南交通大学信息科学与技术学院

【摘要】 设计了一种基于手机APP的空气质量检测与评价系统。住客持带有多个环境检测传感器的无线检测终端对O2O住房进行空气质量检测,检测数据经GPRS实时传输至服务器进行评价,手机APP可实时显示并上传从服务器获取的检测和评价结果至数据共享平台,该平台具备多条件筛选与排序功能,其他住客可通过该平台获知O2O住房空气质量。其中,服务器使用的基于K近邻的模糊数学综合评价法,该方法在解模糊化时结合最大隶属度法和面积中心法,有效保证了具有较好的时效性和准确性。

【Abstract】 In the paper,an air quality detection and evaluation system based on mobile phone APP is designed.The residents hold wireless detection terminals with multiple environmental detection sensors to test the air quality of the O2 Ohousing,and the detection data is transmitted to the server through GPRS for evaluation in real time.The mobile phone APP can display and upload the test and evaluation results obtained from the server to the data sharing platform in real time.The platform has the function of multi-condition screening and sorting.The platform is informed of O2 Ohousing air quality.The evaluation method used in the server is fuzzy mathematics comprehensive evaluation method based on K-nearest neighbor.This method combines the maximum membership degree method and area center method in the process of fuzzy resolution,which effectively ensures the timeliness and accuracy.

【关键词】 APP模糊数学K近邻GPRS
【Key words】 APPfuzzy mathematicsK-nearest neighborGPRS
  • 【文献出处】 单片机与嵌入式系统应用 ,Microcontrollers & Embedded Systems , 编辑部邮箱 ,2019年07期
  • 【分类号】X831;X823;TP311.56
  • 【被引频次】1
  • 【下载频次】113
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