近年来环境污染问题愈演愈烈，大气环境质量参数对于防治环境污染具有重要意义。为了实时地监控大气环境状况，掌握区域环境空气质量的实时信息，本文基于国内外网格化监控的无线传感器技术，服务于环境管理与决策，研究实现了针对区域型的环境空气质量的网格化无线传感器网络实时监测系统，实现了对区域环境空气质量的实时体检。本文通过对大气环境中的细颗粒物、硫氧化物、氮氧化物以及风速、风向和降雨量等参数进行监测，并利用网页和手机APP进行实时数据发布，可以对发生的污染情况进行预警，并进行了可预测功能的研究。本文涉及到的主要内容包括： 一、分析利用网格化无线传感器数据采集网络实现对区域环境监测的优点。 二、系统的设计，包括数据通信的设计、数据解析和数据可视化。 三、系统的实现，终端数据采集的是基于空气传感器的数据采集器，通过数据网络和服务器端进行通信，实现数据的采集上传。利用B/S技术以及GIS技术实现数据的可视化，进而实现区域型环境污染的实时监控，从而对于突发的环境污染事件进行责任人通报。 四、利用高时空数据研究分析了环境参数的关系并初步研究了空气质量指数的可预测性。 五、探究平台系统的实际可用性：包括组网测试，节点数据采集功能测试以及PC端界面数据显示测试和预警测试。 通过对系统的分析设计研发以及测试，验证了系统的可行性，对区域性环境监测具有实际的使用意义。

In recent years, the problem of environmental pollution has intensified. The quality parameters of atmospheric environment are of great significance in preventing and controlling environmental pollution. In order to monitor the state of the atmospheric environment in real time and grasp the real-time information of the regional ambient air quality, this paper is based on the wireless sensor technology of grid monitoring at home and abroad, serves the environmental management and decision-making, and studies and implements a grid for regional ambient air quality. The wireless sensor network real-time monitoring system has realized real-time physical examination of regional air quality. In this paper, we monitor the parameters of atmospheric particulate matter, sulfur oxides, nitrogen oxides, wind speed, wind direction, and rainfall, and use web pages and mobile phone APPs to publish real-time data to provide early warning of pollution. A study of predictable functions was conducted. The main contents covered in this article include: I. Analyze the advantages of using gridded wireless sensor data acquisition networks to achieve regional environmental monitoring. II. The system design, including data communication design, data analysis and data visualization. III. The realization of the system, the terminal data acquisition is based on the air sensor data collector, through the data network and server-side communication, data acquisition and upload. The use of B/S technology and GIS technology to achieve the visualization of data, and then achieve real-time monitoring of regional environmental pollution, so as to inform the responsible person of sudden environmental pollution incidents. IV. The use of high spatial-temporal data to study the relationship between environmental parameters and preliminary study of the air quality index predictability. V. Explore the actual availability of the platform system: It includes network testing, node data collection function testing, and PC-side interface data display testing and early warning testing. The analysis, design, development and testing of the system have verified the feasibility of the system and have practical implications for regional environmental monitoring.