Research Article
Construction of Smart Carbon Monitoring Platform for Small Cities in China Based on Internet of Things
@INPROCEEDINGS{10.1007/978-3-030-63941-9_20, author={He Zhang and Jianxun Zhang and Rui Wang and Qianrui Peng and Xuefeng Shang and Chang Gao}, title={Construction of Smart Carbon Monitoring Platform for Small Cities in China Based on Internet of Things}, proceedings={6GN for Future Wireless Networks. Third EAI International Conference, 6GN 2020, Tianjin, China, August 15-16, 2020, Proceedings}, proceedings_a={6GN}, year={2021}, month={1}, keywords={Internet of Things Smart city Low carbon city Intelligent control of carbon emission Real-time monitoring Small cities in China}, doi={10.1007/978-3-030-63941-9_20} }- He Zhang
Jianxun Zhang
Rui Wang
Qianrui Peng
Xuefeng Shang
Chang Gao
Year: 2021
Construction of Smart Carbon Monitoring Platform for Small Cities in China Based on Internet of Things
6GN
Springer
DOI: 10.1007/978-3-030-63941-9_20
Abstract
The rapid development of the Internet of Things has promoted the construction of smart cities around the world. Research on carbon reduction path based on Internet of Things technology is an important direction for global low carbon city research. Carbon dioxide emissions in small cities are usually higher than in large and medium cities. However, due to the large difference of data environment between small cities and large and medium-sized cities, the weak hardware foundation of the Internet of Things and the high input cost, the construction of a small city smart carbon monitoring platform has not yet been carried out. This paper proposes a smart carbon monitoring platform that combines traditional carbon control methods with IoT technology. It can correct existing long-term data by using real-time data acquired by the sensing device. Therefore, the dynamic monitoring and management of low-carbon development in small cities can be realized. The conclusion are summarized as follows: (1) Intelligent thermoelectric systems, industrial energy monitoring systems, and intelligent transportation systems are the three core systems of the monitoring platform. (2) The initial economic input of the monitoring platform can be reduced by setting up IoT identification devices in departments and enterprises with data foundations and selecting samples by using classification and stratified sampling.
