Hidayat, Achmad Syarif (2018) Perancangan Sistem Deteksi Bahan Bakar Cair di Dalam Pipa Transparan Menggunakan Metode Image Processing Berbasis Raspberry-Pi. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Proses pengiriman bahan bakar cair dari refinery unit ke dalam kilang – kilang penyimpanan sudah tidak lagi menggunakan alat transportasi (kereta atau truk) karena tidak ekonomis, maka dari itu digunakan pipa. Dalam mengontrol buka tutup valve untuk mengarahkan aliran ke setiap tangki timbun masih dilakukan secara manual menggunakan transmiter densitometer. Hal ini menjadi kendala karena denistas setiap minyak hampir sama. Selain itu pada bagian campuran (interface) tidak dapat ditentukan jenis dan konsentrasinya. Maka dari itu diperlukan sebuah inovasi rancang bangun sistem deteksi bahan bakar cair berbasis Raspberry-Pi untuk meningkatkan akurasi pendeteksian. Dilakukan proses akusisi data warna bahan bakar dalam pipa transparan pada ruang warna HSV (hue, saturation, value) oleh webcam kemudian data diproses oleh Raspberry – Pi untuk mendefinisikan jenisnya. Naskah pemrograman ditulis menggunakan bahasa Python 2.7 dan image processing dilakukan menggunakan library OpenCV. Pencahayaan optimal pada intensitas 25 lux dan minimal sebesar 8 lux. Setiap bahan bakar beserta interface dapat dibedakan dengan baik. Nilai rentang bit, akurasi, standar deviasi pembacaan hue dan saturation bahan bakar pertamax berturut – turut adalah 98 – 100, 98,8%, 0,3 dan 120 – 140, 98,48%, 3,07. Untuk bahan bakar solar 19 – 25, 99,12%, 0,41 dan 110 – 130, 97,35%, 3,79. Untuk minyak tanah 92 – 100, 98,93%, 1,38 dan 30 – 45, 92,55%, 4,63. Penentuan konsentrasi bahan bakar pada bagian interface belum bisa ditentukan karena terdapat nilai bit HSV yang sama. ================= Delivering process of liquid fuels from refinery units into storage plants is no longer using transportation (trains or trucks) because it is so costly. So pipes are used for this delivering process. Densitometer is used to determine the time when valve close or open manually for guiding each fuel to each storage tank. Density parameter is not suitable to be the main parameter because the densities of each oil are almost the same. Therefore it needs to design an innovation of Raspberry-Pi's liquid fuel detection system to improve detection accuracy. in this research, fuel color data acquisition process on a transparent pipe on HSV color space (hue, saturation, value) are done by webcam then data processed by Raspberry - Pi to define the fuel type. Script programming has written in Python 2.7 and image processing is done with OpenCV library. Optimal intensity lighting at 25 lux and minimum at 8 lux. Each fuel and interface can be well known. The values, accuracy, and standard deviation of hue & saturation readings respectively for pertamax are 98 - 100, 98.8%, 0,3 and 120 - 140, 98.48%, 3,07, for diesel are 19 - 25, 99.12%, 0,41 and 110 - 130, 97.35%, 3,79, and for kerosene are (92 – 100 , 98.93%, 1,38 and 30 - 45, 92.55%, 4,63). Determining the fuel concentration on the interface can’t be done because there is the same value of HSV bit.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | sistem deteksi, bahan bakar cair, Image Processing, Detection system, liquid fuel |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD56.25 Industrial efficiency--Measurement. Industrial productivity--Measurement. Q Science > Q Science (General) > Q325 GMDH algorithms. Q Science > QC Physics T Technology > T Technology (General) > T57.5 Data Processing T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques T Technology > TJ Mechanical engineering and machinery > TJ324.5 Fuel systems T Technology > TP Chemical technology > TP343 Liquid and gaseous fuel |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Hidayat Achmad Syarif |
| Date Deposited: | 22 Oct 2018 06:47 |
| Last Modified: | 12 Mar 2021 11:40 |
| URI: | http://repository.its.ac.id/id/eprint/52843 |
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