Perancangan Sistem Monitoring Tekno Ekonomi Pada Drilling System Berbasis Internet Of Things (IOT)

Yogaswara, Nirvana Banu (2019) Perancangan Sistem Monitoring Tekno Ekonomi Pada Drilling System Berbasis Internet Of Things (IOT). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Untuk kegiatan eksplorasi dilakukan berbagai macam proses, diawali dengan pembuatan sumur atau wellbore dengan cara pengeboran.Telah diketahui saat ini bahwa dunia industri yang semakin maju telah mencapai zaman industri 4.0 yang mana disebut ‘pabrik cerdas’ berbasis internet (internet of things) dengan penerapan big data sebagai direktori didalamnya. Pada tugas akhir ini telah dirancang aplikasi monitoring drilling system berbasis internet of things pada aplikasi Android dan Windows, dengan direktori pada SQL Connection. Pada penelitian ini disajikan informasi parameter – parameter yang mempengaruhi performasi drilling system beserta waktu dan cost yang harus dikeluarkan perusahaan, serta control chart yang berfungsi untuk menganalisis predictive maitenance pada drilling system. Sehingga diharapkan dengan adanya sistem ini dapat mempermudah dalam analisis performansi, deteksi dini pada failure sampai keuntungan pada perusahaan dapat dipantau dengan jelas. Dengan adanya aplikasi MES yang telah dirancang, analisis maintenance menjadi lebih mudah karena telah terintegrasi dengan interactive chart dan control chart. Pada aplikasi Android tidak terdapat error atau 0% error, khususnya pada perubahan data pada saat menampilkan data monitoring dalam rentang waktu 5 menit. ==============================================================================================================================
For exploration activities, a variety of processes are carried out, beginning with making wells by drilling. It is known at this time that the increasingly advanced industrial world has reached the industrial age 4.0 called internet of things with the application of big data as a directory inside it. In this final project, an internet of things-based drilling system monitoring application has been designed in Windows and Android operating system, with a directory in SQL Connection. In this study, information on parameters that affect the performance of drilling systems is presented along with the time and cost that must be spent by the company, also the control chart to analyze the predictive maintenance on the process. So that it is expected that the existence of this system can facilitate performance analysis, early detection of failure until profits at the company can be clearly monitored. With the MES application, maintenance analysis is easier because it has been integrated with interactive charts and control charts. In the Android application there is no error or 0% error when displaying monitoring data in a span of 5 minutes.

Item Type: Thesis (Other)
Uncontrolled Keywords: Drilling, Internet of things, Performance, Predictive Maintenance
Subjects: T Technology > T Technology (General) > T55 Industrial Safety
T Technology > T Technology (General) > T58.5 Information technology. IT--Auditing
T Technology > TA Engineering (General). Civil engineering (General) > TA169 Reliability (Engineering)
T Technology > TJ Mechanical engineering and machinery > TJ217.6 Predictive Control
T Technology > TN Mining engineering. Metallurgy > TN871.3 Offshore well drilling
T Technology > TS Manufactures > TS167 Costs, Industrial
T Technology > TS Manufactures > TS174 Maintainability (Engineering) . Reliability (Engineering)
T Technology > TS Manufactures > TS176 Manufacturing engineering. Process engineering (Including manufacturing planning, production planning)
Divisions: Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: Nirvana Banu Yogaswara
Date Deposited: 31 Oct 2024 06:31
Last Modified: 31 Oct 2024 06:31
URI: http://repository.its.ac.id/id/eprint/68692

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