作者: Zhen Feng Shao , Cheng Jing , Jia Chen , Lin Ding , Lei Zhang
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.295-298.933
关键词:
摘要: Environmental monitoring is increasingly playing a significant role in such aspects as environment protection, emergency disaster response and rescue, and macro decision-making etc. However, the intrinsic characteristics of complexity and spatial-temporal diversity, multi-scale features and heterogeneity brought from various means of data acquisition make the integration of multi-source data with high-efficiency becomes an international challenge nowadays. In this paper, the design and implementation of a vehicle-borne platform based on Internet of Things for environmental monitoring has been achieved. And then, by merging and matching environmental data and spatial data, more intensive multi-source environmental parameters and information can be obtained to act as meaningful supplementation of fixed environment monitoring stations. The research of this paper is conductive to the transition of environment monitoring from static methods to dynamic methods and from data-based empirical model to sensor network-based quantitative model. As a result, current environment monitoring will become more timely, dynamic, integrated and intelligent.