Study on applicability of data collection frequency for heavy-duty vehicles based on remote monitoring
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...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2022-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01005.pdf |
| _version_ | 1811205476966203392 |
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| author | Zhen Kai Li Gang Ji Zhe Liu Baoxian Yang Yanyan Qin Kongjian Guo Kuiyuan |
| author_facet | Zhen Kai Li Gang Ji Zhe Liu Baoxian Yang Yanyan Qin Kongjian Guo Kuiyuan |
| author_sort | Zhen Kai |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T03:33:25Z |
| format | Article |
| id | doaj.art-962f746b976c455f9a67ef985e7bf156 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-12T03:33:25Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-962f746b976c455f9a67ef985e7bf1562022-12-22T03:49:30ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013600100510.1051/e3sconf/202236001005e3sconf_vesep2022_01005Study on applicability of data collection frequency for heavy-duty vehicles based on remote monitoringZhen Kai0Li Gang1Ji Zhe2Liu Baoxian3Yang Yanyan4Qin Kongjian5Guo Kuiyuan6CATARC Automotive Test Center (Tianjin) Co., Ltd.Chinese Research Academy of Environmental SciencesChinese Research Academy of Environmental SciencesBeijing Municipal Ecological and Environmental Monitoring CenterBeijing Municipal Ecological and Environmental Monitoring CenterChina Automotive Technology and Research Center Co., LtdChina Automotive Technology and Research Center Co., LtdThe 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01005.pdfremote emission monitoringdata transmission frequencyutilization for data storage resourcecorrelation analysis |
| spellingShingle | Zhen Kai Li Gang Ji Zhe Liu Baoxian Yang Yanyan Qin Kongjian Guo Kuiyuan Study on applicability of data collection frequency for heavy-duty vehicles based on remote monitoring E3S Web of Conferences remote emission monitoring data transmission frequency utilization for data storage resource correlation analysis |
| title | Study on applicability of data collection frequency for heavy-duty vehicles based on remote monitoring |
| title_full | Study on applicability of data collection frequency for heavy-duty vehicles based on remote monitoring |
| title_fullStr | Study on applicability of data collection frequency for heavy-duty vehicles based on remote monitoring |
| title_full_unstemmed | Study on applicability of data collection frequency for heavy-duty vehicles based on remote monitoring |
| title_short | Study on applicability of data collection frequency for heavy-duty vehicles based on remote monitoring |
| title_sort | study on applicability of data collection frequency for heavy duty vehicles based on remote monitoring |
| topic | remote emission monitoring data transmission frequency utilization for data storage resource correlation analysis |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01005.pdf |
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