首页> 外文期刊>International Journal on Informatics Visualization: JOIV >Embedded System Using Field Programmable Gate Array (FPGA) myRIO and LabVIEW Programming to Obtain Data Patern Emission of Car Engine Combustion Categories
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Embedded System Using Field Programmable Gate Array (FPGA) myRIO and LabVIEW Programming to Obtain Data Patern Emission of Car Engine Combustion Categories

机译:嵌入式系统使用现场可编程门阵列(FPGA)myRIO和LabVIEW编程来获得汽车发动机燃烧类别的数据模式排放

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Engine scanner unit is a tool used by mechanical power to know the condition of car engine combustion at the time of tune up process done. The level of elements and compounds that dominant in determining categories of combustion of gasoline fuel car engines through the levels of elements and compounds contained in exhaust emissions are Hydrocarbons (HC), Carbon Monoxide (CO), Carbon Dioxide (CO2) and Oxygen (O2). Complete combustion category produces maximum power, fuel efficiency and emission levels according to the threshold. This occurs when there is a balance of the amount of fuel, airflow and ignition in the engine combustion chamber. Elements and compounds contained in car exhaust emissions can be detected with sensors that are sensitive to elemental levels and these compounds are HC, CO, CO2, and O2 sensors. This study aims to display the data pattern category of combustion engine through exhaust emissions based on multi sensor detection processed with signal processing system in the form of Fast Fourier Transform (FFT) process. Furthermore, data pattern is performed in accordance with the category of combustion engine detected. The system is designed with embedded system using Field Programable Gate Array (FPGA) myRIO and LabVIEW programming. The results in the test displays the data pattern and the comparison test of the reference data pattern with the data pattern of the detection result. The comparison test result of data pattern similar to 87% complete engine combustion category and similar to incomplete combustion category 90%.
机译:发动机扫描仪单元是机械动力使用的工具,用于在完成调试过程时了解汽车发动机的燃烧状况。通过废气排放中所含元素和化合物的水平来确定汽油燃料汽车发动机燃烧类别的元素和化合物的水平主要是碳氢化合物(HC),一氧化碳(CO),二氧化碳(CO2)和氧气(O2) )。完全燃烧类别根据阈值产生最大功率,燃料效率和排放水平。当发动机燃烧室中的燃料,气流和点火量达到平衡时,就会发生这种情况。可以使用对元素水平敏感的传感器检测汽车尾气排放中包含的元素和化合物,这些化合物是HC,CO,CO2和O2传感器。本研究旨在通过信号处理系统以快速傅里叶变换(FFT)的形式处理多传感器检测,通过废气排放显示内燃机的数据模式类别。此外,根据检测到的内燃机的类别执行数据模式。该系统采用嵌入式系统设计,该系统使用现场可编程门阵列(FPGA)myRIO和LabVIEW编程。测试结果显示数据模式和参考数据模式与检测结果数据模式的比较测试。数据模式的对比测试结果类似于完全燃烧燃烧类别为87%,类似于不完全燃烧类别为90%。

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