Abstract
With the rapid development of the Internet of Things (IoT) in the 5G age, the construction of smart cities around the world consequents on the exploration of carbon reduction path based on IoT technology is an important direction for global low carbon city research. Carbon dioxide emissions in small cities are usually higher than that in large and medium cities. However, due to the huge difference in data environment between small cities and Medium-large sized cities, the weak hardware foundation of the IoT, 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 real-time estimate model of carbon emissions at the block and street scale and designs a smart carbon monitoring platform that combines traditional carbon control methods with IoT technology. It can exist long-term data by using real-time data acquired with the sensing device. Therefore, the dynamic monitoring and management of low-carbon development in small cities can be achieved. The contributions are summarized as follows: (1) Intelligent thermoelectric systems, industrial energy monitoring systems, and intelligent transportation systems are three core systems of the monitoring platform. Carbon emission measurement methods based on sample monitoring, long-term data, and real-time data have been established, they can solve the problem of the high cost of IoT equipment in small cities. (2) Combined with long-term data, the real-time correction technology, they can dispose of the matter of differences in carbon emission measurement under diverse scales.
Highlights
The Internet of Things (IoT) connects information from any object in the world to the Internet through information sensing devices, for intelligent identification, monitoring, and management of objects [2]
This paper proposes a real-time estimate model of carbon emissions at the block and street scale and designs a smart carbon monitoring platform that combines traditional carbon control methods with IoT technology
It is mainly divided into three research stages: the first stage, the calculation method of energy consumption carbon emissions based on Intergovernmental Panel on Climate Change (IPCC) calculation method; the second stage, the carbon emission coefficient estimation based on big data; the third stage, the real-time carbon emission measurement method with IoT as the core
Summary
The Internet of Things (IoT) connects information from any object in the world to the Internet through information sensing devices (e.g., radio frequency identification, function sensors, and global positioning systems), for intelligent identification, monitoring, and management of objects [2]. In the small-city smart city-controlled carbon monitoring technology, the objects and data collected by the IoT perception layer are quite different from those of large cities. The smart city carbon control method based on the IoT in small cities still needs to consider both the precision monitoring and the economic cost. The purpose of this paper is to build a smart low-carbon monitoring platform applied to small cities in China based on IoT technology. It makes two major contributions: (1) constructing a real-time monitoring system to monitor carbon emission data from carbon sources in Chinese small cities; (2) initially implementing a Smart Carbon Monitoring Platform (SCMP) for small cities with lower-cost hardware investment. The fifth part discusses how to implement a low-cost, high-precision, intelligent carbon-based system based on a limited source of perceptual data
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