Mi Jing, Sun Xinghua, Zhang Shihui, Liu Naidi
College of Information Science and Engineering, HeBei North University, Zhangjiakou 075000, Hebei, China.
Int J Anal Chem. 2022 Aug 17;2022:1013300. doi: 10.1155/2022/1013300. eCollection 2022.
In order to solve the problems of single monitoring factor, weak comprehensive analysis ability, and poor real time performance in traditional environmental monitoring systems, a research method of residential environment pollution monitoring system based on cloud computing and Internet of Things is proposed. The method mainly includes two parts: an environmental monitoring terminal and an environmental pollution monitoring and management platform. Through the Wi-Fi module, the data is sent to the environmental pollution monitoring and management platform in real time. The environmental monitoring management platform is mainly composed of environmental pollution monitoring server, web server, and mobile terminal. The results are as follows. The data measured by the system is close to the data measured by the instrument, and the overall error is small. The measurement error of harmful gases is about 6%. PM 2.5 is about 6.5%. Noise is about 1%. The average time for sensor data update is 0.762 s. The average alarm response time is 2 s. The average data transfer time is 2 s. Practice has proved that the environmental pollution monitoring and alarm system operates stably and can realize real-time collection and transmission of data such as noise, PM 2.5, harmful gas concentration, illumination, GPS, and video images, providing a reliable guarantee for timely environmental pollution control.
为了解决传统环境监测系统中监测因子单一、综合分析能力弱、实时性差等问题，提出一种基于云计算和物联网的住宅环境污染监测系统的研究方法。该方法主要包括两部分：环境监测终端和环境污染监测管理平台。通过Wi-Fi模块将数据实时发送到环境污染监测管理平台。环境污染监测管理平台主要由环境污染监测服务器、Web服务器和移动终端组成。结果如下。该系统测得的数据与仪器测得的数据接近，总体误差较小。有害气体的测量误差约为6%。PM 2.5约为6.5%。噪声约为1%。传感器数据更新的平均时间为0.762 s。平均报警响应时间为2 s。平均数据传输时间为2 s。实践证明，该环境污染监测报警系统运行稳定，能够实现噪声、PM 2.5、有害气体浓度、光照、GPS和视频图像等数据的实时采集与传输，为及时控制环境污染提供了可靠保障。
