With the increase of tourist environment, the real-time monitoring of ecological environment has become a concern. This study mainly discusses the application of cloud computing and Internet of things in the evaluation of ecological environment quality of rural tourism areas in a smart city. In this study, the real-time monitoring of the atmosphere, water, and meteorological data is collected through the GPRS data transmission module and then sent back to the local server by the GPRS network, and the obtained non-real-time and real-time data are used to establish the ecological monitoring database, the database analysis of its information, and get real-time data, monthly data, and longer cycle data. In the cloud GIS platform, there are multiple subnodes. The split tasks can be processed by each subnode through a map, and the results after processing can be summarized through reduce, which completes the implementation process of the whole idea of map reduce. Monitoring station management is mainly to establish monitoring stations in rural tourism areas and collect first-hand environmental monitoring data by using temperature, humidity, infrared, ultrasonic, and other sensors and cameras. The monitoring objects are the air quality, water quality, meteorology, etc. of the scenic area, mainly showing the location of monitoring stations and the placement of sensors. At the same time, an LED screen is set at the monitoring station to display the air quality data of the scenic spot. The data content is introduced into the DPSIR model, combined with social and economic data; according to the ecological health grading evaluation standard, the evaluation score and health grade are obtained and the ecological health status of rural tourism area is judged and evaluated. When the amount of data is less than 500 MB, there is little difference between the storage speed of the cloud GIS platform and single machine, but with the continuous increase of the amount of data, the storage speed of the cloud GIS platform is significantly higher than that of a single machine. This study is helpful in improving the ecological environment quality of rural tourism areas.

中文翻译：

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云计算与物联网在智慧城市乡村旅游区生态环境质量评价中的应用

随着旅游环境的增加，生态环境的实时监测成为人们关注的焦点。本研究主要探讨云计算和物联网在智慧城市乡村旅游区生态环境质量评价中的应用。本研究通过GPRS数据传输模块采集实时监测的大气、水体和气象数据，然后通过GPRS网络发送回本地服务器，获得的非实时实时监测数据。时间数据用于建立生态监测数据库，对其信息进行数据库分析，得到实时数据、月度数据、更长周期数据。在云GIS平台中，有多个子节点。拆分任务可以由每个子节点通过一个映射进行处理，处理后的结果可以通过reduce进行汇总，完成mapreduce整个思想的实现过程。监测站管理主要是在乡村旅游区建立监测站，利用温度、湿度、红外、超声波等传感器和摄像头采集第一手环境监测数据。监测对象为景区空气质量、水质、气象等，主要显示监测站的位置和传感器的布置情况。同时，在监测站设置LED屏，显示景区空气质量数据。数据内容引入DPSIR模型，结合社会经济数据；根据生态健康分级评价标准，得到评价分数和健康等级，对乡村旅游区的生态健康状况进行判断和评价。当数据量小于500MB时，云GIS平台和单机存储速度差别不大，但随着数据量的不断增加，云GIS平台的存储速度明显更高比单机。本研究有助于改善乡村旅游区的生态环境质量。云GIS平台的存储速度明显高于单机存储速度。本研究有助于改善乡村旅游区的生态环境质量。云GIS平台的存储速度明显高于单机存储速度。本研究有助于改善乡村旅游区的生态环境质量。