Issue |
E3S Web Conf.
Volume 360, 2022
2022 8th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2022)
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Article Number | 01005 | |
Number of page(s) | 14 | |
DOI | https://doi.org/10.1051/e3sconf/202236001005 | |
Published online | 23 November 2022 |
Study on applicability of data collection frequency for heavy-duty vehicles based on remote monitoring
1 CATARC Automotive Test Center (Tianjin) Co., Ltd., China
2 Chinese Research Academy of Environmental Sciences, China
3 Beijing Municipal Ecological and Environmental Monitoring Center, China
4 China Automotive Technology and Research Center Co., Ltd, China
* Corresponding author: ligang@vecc.org.cn
The remote online system of heavy-duty vehicles is composed of vehicle terminal and monitoring platform based on the specified communication protocol, data format and data transmission frequency, which is an important embodiment of heavy-duty vehicle pollution control in the application for Internet of Vehicles. The influence of different collection frequencies and compute cycles on vehicle energy consumption and emission calculation is studied in this paper. The calculation errors of mileage, vehicle fuel consumption per 100 kilometers and emission factors of 14 collection frequencies and 7 compute cycles were calculated by continuously monitoring the emission and energy consumption data for 10 heavy-duty vehicles uploaded in 1 month. The result shows that decreasing the data collection frequency will lead to the increase of error and the decrease of correlation, while increasing the computing cycle can reduce the error. When the calculation error is 1%, 5% and 10%, the collection frequency shall be at least 0.5Hz, 0.2Hz and 0.1Hz, and the computing cycle shall be greater than 1800 seconds, 3600 seconds and 7200 seconds. The study content of this paper provides the theoretical foundation for the application and storage of remote monitoring data of heavy-duty vehicles, and provides a solution to the waste of data storage space caused by the problem of remote monitoring big data set.
Key words: Remote emission monitoring / Data transmission frequency / Utilization for data storage resource / Correlation analysis
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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