Open AccessLoosely Coupled Environmental Iot Architecture and Application
Author(s) -
Zhengyi Zhao,
Liang Li,
Xiaxi Han,
Shaoyang Zhang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/4/042092
Subject(s) - computer science , architecture , application layer , data collection , sensor fusion , real time computing , database , software engineering , artificial intelligence , art , statistics , mathematics , software deployment , visual arts
In the traditional environmental protection tax collection, the discharge caliber of taxable pollutants is inconsistent, the authenticity of sensor data is difficult to guarantee, and information islands are common. Aiming at these problems, a loosely coupled environmental IoT architecture is proposed and implemented. The sensor data access layer achieves compatibility with mainstream sensors in the market, reduces the situation that can only rely on the original sensor manufacturers, and uses the lightweight text data format JSON to deliver messages to improve the transmission rate; the sensor data management layer utilizes big data. Technology, integration and management of various types of sensor data, laying the foundation for data analysis and data fusion; the integrated application layer uses the C4.5 algorithm to construct a decision tree model, and senses the state of the front-end sensing device to ensure the authenticity of the sensor data. The experimental results show that the proposed method can sense the real state of the front-end sensing device and realize the accurate collection of environmentally-friendly IoT taxable pollutants.