A multisensor control system based on the LabVIEW myRIO programming has been created for monitoring indoor air quality. The purpose of this research is to create a system to monitor and control the levels of CO and CO2 in the room so that it remains within the threshold of healthy air and does not endanger users. The research phase began with the manufacture of a multisensor circuit and a relay module for the air purifier system and connected to the input and output ports of the myRIO module as a processor programmed with LabVIEW. The process of testing the multisensor response and the activation response of the air purifier on-off is carried out in open areas and indoors by adding artificial air pollution. Besides, air quality control and monitor is also carried out when the level of CO or CO2 gas exceeds the threshold by increasing the number of users and set the air conditioner activation. From the results and data analysis, it was found that the system could be used as a monitor and control the indoor air quality as expected. The range of CO sensor readings is 7.46 ppm - 27.65 ppm and CO2 296.8 ppm - 1190.5 ppm. Air purifier on-off control response time to change of CO and CO2 are 7 and 6 seconds. The air purifier system is able to clean indoor air with a long activation time depending on the number users and the room air conditioner activation settings.
There are two main categories of combustion condition in the car combustion engine chamber, they are complete and incomplete combustion condition. The complete combustion condition is obtained when a balance of fuel, airflow, and ignition in the combustion chamber occurred. It is characterized by the level of elements and compounds contained in the exhaust emissions. The dominant elements and compounds in exhaust emissions of the gasoline-fueled engine are Hydrocarbon (HC), Carbon Monoxide (CO), Carbon Dioxide (CO 2) and Oxygen (O 2). This study aims to establish a system that is capable of identifying the combustion category of automobile engine through exhaust emissions. This emissions data was procured using gas multi-sensor processed by a Fast Fourier Transform (FFT) process and constructed in the form of the data pattern. The identifying process of the combustion category was done by comparing the detected data pattern with a reference data pattern utilizing the Sum Square Error (SSE) method. Trials had been conducted on some gasoline and Pertalite cars for carburetor and injection systems. The trials result showed that the system accuracy in identifying the category of complete combustion was 87% and the incomplete combustion category was 77%.
In this study, a comparison of the attenuation value of single mode aerial cable with pigtail is made. Perform several types of connections using a 4 cm and 6 cm protection sleeve, with one and two connections and use a barrel adapter connector. How does the connection affect the installation of a 1:2 passive splitter device. The measuring instruments used for the measurement process are Optical Power Meter (OPM) and Optical Time Domain Reflectometer (OTDR). The attenuation value of aerial single mode optical cable is smaller than that of pigtail cable. The measurement results using OPM at a wavelength of 1310 nm, connection using a 4 cm protection sleeve, one connection, the attenuation value is 0.18525dB, this value is smaller than the pigtail cable, which is 1.2728 dB. In the installation of a passive splitter, the attenuation value on the aerial cable is smaller, namely 0.2081 dB compared to the pigtail cable, which is 4.3281. The measurement results using the OTDR obtained the connection loss value for the connection type using a 6 cm protection sleeve, one connection is smaller with a value of 0.155 dB, compared to the connection type using an adapter barrel with a value of 12,216 dB.
A multisensory gas device integrated with myRIO module to measure air pollution has been established. This device is programmed using the LabVIEW programming language and can measure CO2, CO, NOX, and HC pollution on roads due to motor vehicle exhaust emissions. The device and the display system are made separately using wireless network communication to make this tool portable. Exhaust Gas Analyzer (EGA) was chosen for device calibration, obtaining 3.62% on the average error after performing 30 tests. The tests for measuring CO, CO2, NOX, and HC gas levels were conducted in several locations in Padang City and performed in the morning, afternoon, and evening. The result showed that the system properly measured CO2, CO, NOX and HC pollution in parks and highways in real-time in parts per million (ppm). It also displayed varied gas measurement results in terms of time and test location with a range of CO gas values at 0.034 – 0.15 ppm, CO2 151.3 – 815.2 ppm, NOX 0.0001 – 0.004 ppm, and HC 0.04 – 0.65 ppm. In addition, the system could perform well in providing warnings by automatically activating the air indicator alert at several measurement places when the gas content on one of the gas elements and compounds at a particular location has exceeded the threshold for the clean air category. Thus, this device can be used as initial research to build a real-time air pollution measurement system using the Internet of Things (IoT).
Meningkatnya kesibukan manusia yang tidak dapat ditunda dalam kehidupan sehari-hari mengakibatkan manusia sekarang tidak memiliki cukup waktu luang untuk melakukan banyak kegiatan dalam waktu yang sama. Disinilah peran teknologi untuk mempermudah dan memperlancar kegiatan manusia dalam kehidupan sehari-hari. Dengan menggunakan Raspberry Pi, dibuatlah sistem Home Automation yang dapat menyelesaikan permasalahan tersebut. Sistem ini juga sangat berguna untuk membantu manusia yang memiliki kebiasaan buruk dalam hal penghematan daya listrik dan jangka waktu pakai sebuah perangkat elektronik, contoh sederhananya kebiasaan lupa dalam mematikan televisi. Pada tugas akhir ini dirancang sebuah sistem dimana, nantinya user dapat melakukan kontrol terhadap beberapa perangkat elektronik yang terdapat pada miniature rumah. Pengontrolan dilakukan dengan mengakses ke webserver yang terdapat pada Raspberry Pi, kemudian melakukan kontrol melalui jaringan lokal. Jaringan lokal tersebut, terdiri dari 3 jaringan yang terhubung oleh 2 wireless router Linksys cisco WRT120N. Dalam melakkukan kontrol Raspberry Pi terhubung pada modul relay yang berfungsi sebagai pemutus dan penyambung arus listrik perangkat elektronik. Hasil pengujian Home automation menunjukkan bahwa untuk dapat mengakses perangkat elektronik yang berada pada miniature rumah maka user dan server harus terhubung dalam jaringan lokal. Sistem ini diakses dengan media kabel dan wireless, dengan melewati beberapa wireless router sistem ini nantinya dapat diimplementasikan pada internet. Kata kunci: Home Automation, Raspberry Pi, wireless router, Linksys Cisco WRT120N, webserver
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