Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
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Article Number | 02007 | |
Number of page(s) | 6 | |
Section | Construction Material Research and Urban Environmental Planning | |
DOI | https://doi.org/10.1051/e3sconf/202451202007 | |
Published online | 10 April 2024 |
Research on Energy Consumption Monitoring and Evaluation Technology for Asphalt Mixing Plants Based on the Internet of Things
a Jinan Traffic Engineering Quality and Safety Center, Jinan 250014, China
b Shandong Transportation Institute, Gangxi Road, Jinan 250100, China
* 156711993@qq.com; phone 13854071222
The construction process of asphalt pavement in highway construction projects is a key link in energy consumption and emissions, and the production of asphalt mixing stations is the main energy consumption link of asphalt pavement. Currently, targeted energy consumption evaluation and monitoring of asphalt mixing stations still lack systematic research. This article first determines the evaluation indicators for energy conservation and emission reduction of asphalt pavement. By decomposing the energy consumption composition of the asphalt mixing station, a energy consumption evaluation system for the asphalt mixing station consisting of three parts: heating drum, asphalt heating and insulation system, and power system is established. After calculation, the predicted natural gas conversion rates for each ton of SMA-13 asphalt mixture in the upper layer, AC-20 asphalt mixture in the middle layer, and AC-25 asphalt mixture in the lower layer are 8.07, 7.41, and 6.87 m3, respectively. The predicted results fit well with the measured data. Finally, through the development of hardware and software, the energy consumption evaluation and monitoring of asphalt mixing stations based on the Internet of Things were achieved, which played a promoting role in the environmental protection evaluation of highway pavement construction.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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