摘要
利用物联网技术,研究了空气质量自动站的温度、湿度、电流、电压、浸水、烟雾、视频、仪器状态的智能检测与控制技术,利用集成监测结果、仪器状态、城市摄影、室内安防等数据,设计并实现了一套B/S网络模式的空气质量自动监测站房智能云监控系统。结果表明,该系统能有效提高以空气质量监测数据质量为核心的空气质量监测网络及数据的采集、传输、分析、处理、质量控制的智能化、自动化和网络化,可实现珠三角区域空气质量监测网的智能化升级,为站房稳定运行保驾护航,以保障监测数据的有效性和准确性。
This research uses the Internet of Things technology to develop intelligent detection and control technologies of temperature,humidity,current,voltage,water immersion,smoke,video,and instrument status of automatic air quality stations,and integrates monitoring results,instrument status,urban photography,and indoor security data.Based on these,this research designs and implements a set of B/S network mode intelligent cloud monitoring system of automatic air quality monitoring stations.The results show that the system can effectively improve the intelligent,automated and networked of air quality monitoring network with air quality monitoring data quality as the core and the collection,transmission,analysis,processing and quality control of data.It can realize the intelligent upgrade of the air quality monitoring network in the Pearl River Delta region,escort the stable operation of the stations,and ensure the validity and accuracy of the monitoring data.
作者
江明
黄建彰
张涛
何海敬
赵燕
岳玎利
Jiang Ming;Huang Jianzhang;Zhang Tao;He Haijing;Zhao Yan;Yue Dingli(Guangdong Environmental Monitoring Center,Guangzhou ,Guangdong510308,China;Sun Yat -sen University,Guangzhou,Guangdong 510275,China)
出处
《绿色科技》
2018年第22期1-4,7,共5页
Journal of Green Science and Technology
基金
国家重点研发计划(编号:2016YFC0202005)
关键词
珠三角
空气质量
智能站房
云监控
pearl river delta
air quality
intelligent monitoring station
cloud monitoring
