Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression
Nitrogen oxides and particulate matter are the two main pollutants emitted by diesel locomotive exhaust. It is an effective measure to control urban air pollution to monitor the exhaust emission of diesel locomotives by using the vehicle exhaust gas detection device. For a nitrogen oxide gas sensor,...
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National Computer System Engineering Research Institute of China
2025-05-01
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| Series: | Dianzi Jishu Yingyong |
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| Online Access: | http://www.chinaaet.com/article/3000171625 |
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| author | Lv Yingming Yuan Wenping |
| author_facet | Lv Yingming Yuan Wenping |
| author_sort | Lv Yingming |
| collection | DOAJ |
| description | Nitrogen oxides and particulate matter are the two main pollutants emitted by diesel locomotive exhaust. It is an effective measure to control urban air pollution to monitor the exhaust emission of diesel locomotives by using the vehicle exhaust gas detection device. For a nitrogen oxide gas sensor, based on its detection principle, temperature and humidity will have a greater impact on the chemical reaction in the detection process, so a corresponding temperature and humidity compensation method is required to improve the measurement accuracy of the sensor. In this paper, a vehicle-mounted vehicle exhaust gas detection device is designed and a sensor temperature and humidity compensation method based on Support Vector Regression (SVR), Sine Cosine Algorithm(SCA) and Particle Swarm Optimization (PSO) is proposed. The concentration of nitrogen oxide gas and particulate matter, and the compensation model is used to compensate the temperature and humidity of the sensor detection value. After testing data training and validation, the compensation model can effectively reduce errors caused by temperature and humidity, and can meet engineering requirements. |
| format | Article |
| id | doaj-art-39f30ce0610247aa97a8bc74e0580933 |
| institution | Kabale University |
| issn | 0258-7998 |
| language | zho |
| publishDate | 2025-05-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj-art-39f30ce0610247aa97a8bc74e05809332025-08-20T03:27:06ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982025-05-01515384310.16157/j.issn.0258-7998.2459633000171625Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regressionLv Yingming0Yuan Wenping1Institute of Intelligent Equipment， Beijing Academy of Science and TechnologyInstitute of Intelligent Equipment， Beijing Academy of Science and TechnologyNitrogen oxides and particulate matter are the two main pollutants emitted by diesel locomotive exhaust. It is an effective measure to control urban air pollution to monitor the exhaust emission of diesel locomotives by using the vehicle exhaust gas detection device. For a nitrogen oxide gas sensor, based on its detection principle, temperature and humidity will have a greater impact on the chemical reaction in the detection process, so a corresponding temperature and humidity compensation method is required to improve the measurement accuracy of the sensor. In this paper, a vehicle-mounted vehicle exhaust gas detection device is designed and a sensor temperature and humidity compensation method based on Support Vector Regression (SVR), Sine Cosine Algorithm(SCA) and Particle Swarm Optimization (PSO) is proposed. The concentration of nitrogen oxide gas and particulate matter, and the compensation model is used to compensate the temperature and humidity of the sensor detection value. After testing data training and validation, the compensation model can effectively reduce errors caused by temperature and humidity, and can meet engineering requirements.http://www.chinaaet.com/article/3000171625exhaust gas detectioninternet of thingssvmscapsotemperature and humidity compensation |
| spellingShingle | Lv Yingming Yuan Wenping Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression Dianzi Jishu Yingyong exhaust gas detection internet of things svm sca pso temperature and humidity compensation |
| title | Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression |
| title_full | Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression |
| title_fullStr | Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression |
| title_full_unstemmed | Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression |
| title_short | Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression |
| title_sort | research on temperature and humidity compensation method of vehicle gas sensor based on sca pso support vector regression |
| topic | exhaust gas detection internet of things svm sca pso temperature and humidity compensation |
| url | http://www.chinaaet.com/article/3000171625 |
| work_keys_str_mv | AT lvyingming researchontemperatureandhumiditycompensationmethodofvehiclegassensorbasedonscapsosupportvectorregression AT yuanwenping researchontemperatureandhumiditycompensationmethodofvehiclegassensorbasedonscapsosupportvectorregression |