基于多种交互方式的分布式空气质量监测系统设计与实现

Design and implementation of distributed air quality monitoring system based on multiple interactions

针对目前空气质量监测只反映一个城市的总体水平、监测指标不全面、交互方式不佳等问题,设计并实现了一个基于多种交互方式的分布式空气质量监测系统,以实现对空气质量的实时高效监测。该系统包含了数据采集子系统、数据管理子系统和数据处理子系统。为了让数据采集子系统更准确地采集空气质量数据,分区域部署了多个终端监测设备组成一个分布式系统实现多站点监测。在数据管理子系统中,使用云平台进行监测数据的存取管理,实现海量数据的便捷、实时、可靠存取。在数据处理子系统中,采用多种交互方式供用户获取和分析空气质量数据。交互方式包括数据的云端交互、数据的移动端交互和数据的三维可视化交互,使得用户不仅能更便捷地查询空气质量还能及时地收到污染指标超标报警和空气质量预测信息。该系统在实际应中能够全面地监测各区域空气质量,并且交互功能丰富,有效弥补了目前空气质量监测的不足。

In view of only reflecting the overall level of a city,monitoring incomplete indicators,having poor interactions and other issues regarding current air quality monitoring,a new air quality monitoring distributed system based on multiple interactions is designed and implemented to monitor air quality real-timely and efficiently. The system includes the data acquisition subsystem,the data management subsystem,and the data processing subsystem. In order to make the data acquisition subsystem collect air quality data more accurately,air quality at different locations is monitored with multiple monitoring devices deployed in different areas. In the data management subsystem,the cloud platform is used to implement access management of monitoring data,which achieves convenient,real-time and reliable access of mass data. In the data processing subsystem,multiple interactions are used for users to obtain and analyze air quality data. The interactions include data interaction of cloud,data interaction of mobile terminal,and data interaction of 3 D visualization,so that users can not only query air quality more easily,but also receive pollution warning and air quality forecast information in time. In the process of actual application,the system is able to monitor air quality in different areas comprehensively and has abundant interactions,which compensates for the current defects of air quality monitoring effectively.