Design of Automobile Exhaust Emission Detection and Alarm System
DOI:
https://doi.org/10.54097/vvkj6z28Keywords:
Microcontroller, Sensor, Automobile Exhaust Gas Detection, Alarm SystemAbstract
The number of automobiles has increased dramatically, and vehicle exhaust has a serious impact on air quality, which has become a major factor of urban air pollution. The automobile exhaust emission detection and alarm system designed in this paper is firstly based on the circuit simulation test built in Proteus software, using STC89C52RC microcontroller as the core control element, and AD software to build the hardware circuit of the system, to realize the detection of exhaust, as well as adjusting the threshold, acoustic and visual alarm and display functions. Secondly, through the debugging and testing of the physical object, it realizes the more accurate detection of carbon monoxide, nitrogen oxides, methane and air quality. Finally, the detection value is displayed via LCD and an alarm is issued when the detection value exceeds the set threshold. The function of this detection and alarm system is in line with the initial design concept, and it has certain theoretical value and practical significance for automobile exhaust emission detection and environmental protection.
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[1] Lin Tong, Improving relevant laws and regulations to control automobile exhaust emissions. Modern Economic Information, 2016(11):328.
[2] Yanfeng Yu. A comparative study of domestic and international automobile emission regulations[J]. Internal Combustion Engine & Parts, 2020, (01):186-187. DOI: 10. 19475/ j.cnki.issn1674-957x.2020.01.096.
[3] Lina Xu. Rui Xue. Xiaodan Guan.Study of Automobile Exhaust Measurement System Based on Labview[J]. Journal of North China Institute of Aerospace Engineerin, 2009, 19 (03):16-18.
[4] Yanhui Wang. Development of CO gas detection device in automobile exhaust [D]. Heilongjiang University,2016.
[5] Haozhuo Zhang.Research on Video Vehicle Exhaust Object Detection and Domain Adaptation and Generalizability[D]. Zhejiang University,2022.
[6] Chenhong Wu. Signal Acquisition based on Modbus communication protocol [D]. Hefei University of Technology, 2021.
[7] Shaopei Yang, Lingling Zhang, Qinghua Yang,et al. Design of Weight Sorting Device Based on Single-Chip Microcomputer Control [J].Technology innovation and productivity, 2020, (06): 57-60.
[8] Xin Chang. Design of Vehicle Exhaust Detection System based on Internet of Things [D]. Jilin Agricultural University, 2020. DO I: 10.27163/d.cnki.gjlnu.2020.0 00321.
[9] Shijian Peng. Research on micro bubble detection based on 51 single chip microcomputer [D]. Guilin University Of Electronic Technology,2022.DOI:10.27049/d.cnki.ggldc.2 022. 001090.
[10] Yuhao Zhou. Research and design of exhaust gas detection system based on particle sensor [D]. Huazhong University of Science & Technology,2022.DOI:10.27157/d.cnki.ghzk u. 2022. 005619.
[11] Yang Tong. Real-time Data Acquisition and Control System for Remote Sensing Detection of Automobile Exhaust [D]. Anhui University,2021.DOI:10.26917/d.cnki.ga nhu.20 2 1.000 802.
[12] Yongbao Chai. Application of threshold model to the study of anti-cheating of vehicle exhaust detection [D]. Yunnan University,2020.DOI:10.27456/d.cnki.gyndu.2020.0 012 14.
[13] Jicheng Zhang. Development of Remote Sensing Detection and Control System for Automobile Exhaust Emission [D]. Shandong Jiaotong University,2020. DOI:10. 27864/d. cnki. gsjtd. 2020. 000006.
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