基于L*a*b颜色空间的基于颜色分割的一氧化碳和二氧化碳气体传感器烟雾排放分析的吉普尼发动机状态判断

Jessie R. Balbin, G. Magwili, Jordaniel C. Agus, R. Malonga, Jazzleen S. Manalo, Erick John B. Reyes
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引用次数: 0

摘要

吉普尼在菲律宾的交通系统中扮演着重要的角色,因为它们是菲律宾最广泛使用的交通方式。随着吉普尼现代化的到来,排放较差的吉普尼由于排放过多的有害气体而面临淘汰的威胁。这些会影响环境,也会影响通勤者的健康。利用Arduino, CO(一氧化碳),CO2(二氧化碳)传感器和网络摄像头,研究人员创造了一个原型,可以通过分析烟雾排放来识别吉普车可能的发动机问题。该设备配有图形用户界面,用于初始化原型,查看实时数据,并保存数据以供参考和将来使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of jeepney engine condition based on smoke emission analysis using carbon monoxide and carbon dioxide gas sensors with color-based segmentation using L*a*b color space
Jeepneys play a significant role in the Philippines’ transportation system as they are the most widely used mode of transportation in the country. With the advent of jeepney modernization, jeepneys with poor emissions are being threatened to be phased out due to excessive emissions of harmful gases. These will affect the environment as well as the health of the commuters. Using an Arduino, CO (Carbon Monoxide), CO2 (Carbon Dioxide) sensors and a webcam, the researchers have created a prototype which identifies the likely engine problem of the jeep from analyzing the smoke emissions. The device is accompanied with a graphical user interface for initializing the prototype, viewing real time data, and saving data for references and future use.
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