PEMODELAN 3 DIMENSI KILANG BERDASARKAN DATA POINT CLOUD MENGGUNAKAN BENTUK GEOMETRI OBJEK SEDERHANA
Virginia Indonesian Company (VICO) plans to modify the refinery (plant) Satelllite Nilam 2 to build additional facilities or change the shape of the refinery. To support the plan required a method of 3D laser mapping to get an appearance of an object in three-dimensional coordinates, and then perfor...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2013
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/127079/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=67322 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | Virginia Indonesian Company (VICO) plans to modify the refinery (plant)
Satelllite Nilam 2 to build additional facilities or change the shape of the refinery. To
support the plan required a method of 3D laser mapping to get an appearance of an
object in three-dimensional coordinates, and then performed three-dimensional
modeling based on point cloud from field results scanning. This three-dimensional
modeling technology is used to design the structural and product design, where the
technology is used as a tool to consider the financial aspects as well as the allocation
of time required in the construction works. The purpose of this work is to model the
point cloud data of Satellite Nilam 2 refinery into a three-dimensional model of an
object using primitive object geometry such as tubes, balls and boxes.
The materials used in this work is a point cloud Satellite Nilam 2 that have
been registered between the scanworld with the local coordinate system in the
scanner, photo field, drawing piping plans and drawings Process and Instrument
Drawings (P&ID), sourced from VICO as a supporting documents path information
and function of piping elements. Point cloud is processed using cyclone software 7.0
into three-dimensional models. It starts from the preparation tools and point cloud
data collection. The collection of data in the form of point cloud data classification
pipeline, instrument, civil structur, equipment, safety, Trey and Acces Stay Leader
(ASL). Modelling process is done using a region growing method or pick up from
the templates available on the software point cloud by matching the data with
photograph on the pitch, P&ID and Piping plan Satellite Nilam 2. Tested the
modeling results back to the photograph on the pitch, P&ID and Piping 2 Patchouli
Satellite plan. In the process of testing the focus is the geometry of objects that can
visually represent an object, not the complexity of an object.
From this work obtained the following results such as |
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