New 3D cabin layout data collection method based on 2D graphic analysis
ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin bo...
Ausführliche Beschreibung
Autor*in: |
Weigang HUANG [verfasserIn] Ke LIN [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch ; Chinesisch |
Erschienen: |
2021 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Zhongguo Jianchuan Yanjiu - Editorial Office of Chinese Journal of Ship Research, 2017, 16(2021), 4, Seite 125-131 |
---|---|
Übergeordnetes Werk: |
volume:16 ; year:2021 ; number:4 ; pages:125-131 |
Links: |
Link aufrufen |
---|
DOI / URN: |
10.19693/j.issn.1673-3185.01979 |
---|
Katalog-ID: |
DOAJ055194958 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ055194958 | ||
003 | DE-627 | ||
005 | 20230308190018.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230227s2021 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.19693/j.issn.1673-3185.01979 |2 doi | |
035 | |a (DE-627)DOAJ055194958 | ||
035 | |a (DE-599)DOAJaa8151ccf2bd4340a1f935d1869d23c5 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng |a chi | ||
050 | 0 | |a VM1-989 | |
100 | 0 | |a Weigang HUANG |e verfasserin |4 aut | |
245 | 1 | 0 | |a New 3D cabin layout data collection method based on 2D graphic analysis |
264 | 1 | |c 2021 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method. | ||
650 | 4 | |a ship | |
650 | 4 | |a cabin modeling | |
650 | 4 | |a general ship layout data | |
650 | 4 | |a collection method | |
650 | 4 | |a graphic analysis | |
650 | 4 | |a hierarchical boolean operation | |
653 | 0 | |a Naval architecture. Shipbuilding. Marine engineering | |
700 | 0 | |a Ke LIN |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Zhongguo Jianchuan Yanjiu |d Editorial Office of Chinese Journal of Ship Research, 2017 |g 16(2021), 4, Seite 125-131 |w (DE-627)1680976788 |x 16733185 |7 nnns |
773 | 1 | 8 | |g volume:16 |g year:2021 |g number:4 |g pages:125-131 |
856 | 4 | 0 | |u https://doi.org/10.19693/j.issn.1673-3185.01979 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/aa8151ccf2bd4340a1f935d1869d23c5 |z kostenfrei |
856 | 4 | 0 | |u http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01979 |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/1673-3185 |y Journal toc |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/1673-3185 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_2817 | ||
951 | |a AR | ||
952 | |d 16 |j 2021 |e 4 |h 125-131 |
author_variant |
w h wh k l kl |
---|---|
matchkey_str |
article:16733185:2021----::e3cbnaotaaolcinehdaeo2 |
hierarchy_sort_str |
2021 |
callnumber-subject-code |
VM |
publishDate |
2021 |
allfields |
10.19693/j.issn.1673-3185.01979 doi (DE-627)DOAJ055194958 (DE-599)DOAJaa8151ccf2bd4340a1f935d1869d23c5 DE-627 ger DE-627 rakwb eng chi VM1-989 Weigang HUANG verfasserin aut New 3D cabin layout data collection method based on 2D graphic analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method. ship cabin modeling general ship layout data collection method graphic analysis hierarchical boolean operation Naval architecture. Shipbuilding. Marine engineering Ke LIN verfasserin aut In Zhongguo Jianchuan Yanjiu Editorial Office of Chinese Journal of Ship Research, 2017 16(2021), 4, Seite 125-131 (DE-627)1680976788 16733185 nnns volume:16 year:2021 number:4 pages:125-131 https://doi.org/10.19693/j.issn.1673-3185.01979 kostenfrei https://doaj.org/article/aa8151ccf2bd4340a1f935d1869d23c5 kostenfrei http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01979 kostenfrei https://doaj.org/toc/1673-3185 Journal toc kostenfrei https://doaj.org/toc/1673-3185 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 16 2021 4 125-131 |
spelling |
10.19693/j.issn.1673-3185.01979 doi (DE-627)DOAJ055194958 (DE-599)DOAJaa8151ccf2bd4340a1f935d1869d23c5 DE-627 ger DE-627 rakwb eng chi VM1-989 Weigang HUANG verfasserin aut New 3D cabin layout data collection method based on 2D graphic analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method. ship cabin modeling general ship layout data collection method graphic analysis hierarchical boolean operation Naval architecture. Shipbuilding. Marine engineering Ke LIN verfasserin aut In Zhongguo Jianchuan Yanjiu Editorial Office of Chinese Journal of Ship Research, 2017 16(2021), 4, Seite 125-131 (DE-627)1680976788 16733185 nnns volume:16 year:2021 number:4 pages:125-131 https://doi.org/10.19693/j.issn.1673-3185.01979 kostenfrei https://doaj.org/article/aa8151ccf2bd4340a1f935d1869d23c5 kostenfrei http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01979 kostenfrei https://doaj.org/toc/1673-3185 Journal toc kostenfrei https://doaj.org/toc/1673-3185 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 16 2021 4 125-131 |
allfields_unstemmed |
10.19693/j.issn.1673-3185.01979 doi (DE-627)DOAJ055194958 (DE-599)DOAJaa8151ccf2bd4340a1f935d1869d23c5 DE-627 ger DE-627 rakwb eng chi VM1-989 Weigang HUANG verfasserin aut New 3D cabin layout data collection method based on 2D graphic analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method. ship cabin modeling general ship layout data collection method graphic analysis hierarchical boolean operation Naval architecture. Shipbuilding. Marine engineering Ke LIN verfasserin aut In Zhongguo Jianchuan Yanjiu Editorial Office of Chinese Journal of Ship Research, 2017 16(2021), 4, Seite 125-131 (DE-627)1680976788 16733185 nnns volume:16 year:2021 number:4 pages:125-131 https://doi.org/10.19693/j.issn.1673-3185.01979 kostenfrei https://doaj.org/article/aa8151ccf2bd4340a1f935d1869d23c5 kostenfrei http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01979 kostenfrei https://doaj.org/toc/1673-3185 Journal toc kostenfrei https://doaj.org/toc/1673-3185 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 16 2021 4 125-131 |
allfieldsGer |
10.19693/j.issn.1673-3185.01979 doi (DE-627)DOAJ055194958 (DE-599)DOAJaa8151ccf2bd4340a1f935d1869d23c5 DE-627 ger DE-627 rakwb eng chi VM1-989 Weigang HUANG verfasserin aut New 3D cabin layout data collection method based on 2D graphic analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method. ship cabin modeling general ship layout data collection method graphic analysis hierarchical boolean operation Naval architecture. Shipbuilding. Marine engineering Ke LIN verfasserin aut In Zhongguo Jianchuan Yanjiu Editorial Office of Chinese Journal of Ship Research, 2017 16(2021), 4, Seite 125-131 (DE-627)1680976788 16733185 nnns volume:16 year:2021 number:4 pages:125-131 https://doi.org/10.19693/j.issn.1673-3185.01979 kostenfrei https://doaj.org/article/aa8151ccf2bd4340a1f935d1869d23c5 kostenfrei http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01979 kostenfrei https://doaj.org/toc/1673-3185 Journal toc kostenfrei https://doaj.org/toc/1673-3185 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 16 2021 4 125-131 |
allfieldsSound |
10.19693/j.issn.1673-3185.01979 doi (DE-627)DOAJ055194958 (DE-599)DOAJaa8151ccf2bd4340a1f935d1869d23c5 DE-627 ger DE-627 rakwb eng chi VM1-989 Weigang HUANG verfasserin aut New 3D cabin layout data collection method based on 2D graphic analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method. ship cabin modeling general ship layout data collection method graphic analysis hierarchical boolean operation Naval architecture. Shipbuilding. Marine engineering Ke LIN verfasserin aut In Zhongguo Jianchuan Yanjiu Editorial Office of Chinese Journal of Ship Research, 2017 16(2021), 4, Seite 125-131 (DE-627)1680976788 16733185 nnns volume:16 year:2021 number:4 pages:125-131 https://doi.org/10.19693/j.issn.1673-3185.01979 kostenfrei https://doaj.org/article/aa8151ccf2bd4340a1f935d1869d23c5 kostenfrei http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01979 kostenfrei https://doaj.org/toc/1673-3185 Journal toc kostenfrei https://doaj.org/toc/1673-3185 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 AR 16 2021 4 125-131 |
language |
English Chinese |
source |
In Zhongguo Jianchuan Yanjiu 16(2021), 4, Seite 125-131 volume:16 year:2021 number:4 pages:125-131 |
sourceStr |
In Zhongguo Jianchuan Yanjiu 16(2021), 4, Seite 125-131 volume:16 year:2021 number:4 pages:125-131 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
ship cabin modeling general ship layout data collection method graphic analysis hierarchical boolean operation Naval architecture. Shipbuilding. Marine engineering |
isfreeaccess_bool |
true |
container_title |
Zhongguo Jianchuan Yanjiu |
authorswithroles_txt_mv |
Weigang HUANG @@aut@@ Ke LIN @@aut@@ |
publishDateDaySort_date |
2021-01-01T00:00:00Z |
hierarchy_top_id |
1680976788 |
id |
DOAJ055194958 |
language_de |
englisch chinesisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ055194958</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308190018.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.19693/j.issn.1673-3185.01979</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ055194958</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJaa8151ccf2bd4340a1f935d1869d23c5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield><subfield code="a">chi</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">VM1-989</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Weigang HUANG</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">New 3D cabin layout data collection method based on 2D graphic analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ship</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cabin modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">general ship layout data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">collection method</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">graphic analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">hierarchical boolean operation</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Naval architecture. Shipbuilding. Marine engineering</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ke LIN</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Zhongguo Jianchuan Yanjiu</subfield><subfield code="d">Editorial Office of Chinese Journal of Ship Research, 2017</subfield><subfield code="g">16(2021), 4, Seite 125-131</subfield><subfield code="w">(DE-627)1680976788</subfield><subfield code="x">16733185</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:125-131</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.19693/j.issn.1673-3185.01979</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/aa8151ccf2bd4340a1f935d1869d23c5</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01979</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1673-3185</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1673-3185</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2817</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">2021</subfield><subfield code="e">4</subfield><subfield code="h">125-131</subfield></datafield></record></collection>
|
callnumber-first |
V - Naval Science |
author |
Weigang HUANG |
spellingShingle |
Weigang HUANG misc VM1-989 misc ship misc cabin modeling misc general ship layout data misc collection method misc graphic analysis misc hierarchical boolean operation misc Naval architecture. Shipbuilding. Marine engineering New 3D cabin layout data collection method based on 2D graphic analysis |
authorStr |
Weigang HUANG |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)1680976788 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
VM1-989 |
illustrated |
Not Illustrated |
issn |
16733185 |
topic_title |
VM1-989 New 3D cabin layout data collection method based on 2D graphic analysis ship cabin modeling general ship layout data collection method graphic analysis hierarchical boolean operation |
topic |
misc VM1-989 misc ship misc cabin modeling misc general ship layout data misc collection method misc graphic analysis misc hierarchical boolean operation misc Naval architecture. Shipbuilding. Marine engineering |
topic_unstemmed |
misc VM1-989 misc ship misc cabin modeling misc general ship layout data misc collection method misc graphic analysis misc hierarchical boolean operation misc Naval architecture. Shipbuilding. Marine engineering |
topic_browse |
misc VM1-989 misc ship misc cabin modeling misc general ship layout data misc collection method misc graphic analysis misc hierarchical boolean operation misc Naval architecture. Shipbuilding. Marine engineering |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Zhongguo Jianchuan Yanjiu |
hierarchy_parent_id |
1680976788 |
hierarchy_top_title |
Zhongguo Jianchuan Yanjiu |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)1680976788 |
title |
New 3D cabin layout data collection method based on 2D graphic analysis |
ctrlnum |
(DE-627)DOAJ055194958 (DE-599)DOAJaa8151ccf2bd4340a1f935d1869d23c5 |
title_full |
New 3D cabin layout data collection method based on 2D graphic analysis |
author_sort |
Weigang HUANG |
journal |
Zhongguo Jianchuan Yanjiu |
journalStr |
Zhongguo Jianchuan Yanjiu |
callnumber-first-code |
V |
lang_code |
eng chi |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2021 |
contenttype_str_mv |
txt |
container_start_page |
125 |
author_browse |
Weigang HUANG Ke LIN |
container_volume |
16 |
class |
VM1-989 |
format_se |
Elektronische Aufsätze |
author-letter |
Weigang HUANG |
doi_str_mv |
10.19693/j.issn.1673-3185.01979 |
author2-role |
verfasserin |
title_sort |
new 3d cabin layout data collection method based on 2d graphic analysis |
callnumber |
VM1-989 |
title_auth |
New 3D cabin layout data collection method based on 2D graphic analysis |
abstract |
ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method. |
abstractGer |
ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method. |
abstract_unstemmed |
ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_2817 |
container_issue |
4 |
title_short |
New 3D cabin layout data collection method based on 2D graphic analysis |
url |
https://doi.org/10.19693/j.issn.1673-3185.01979 https://doaj.org/article/aa8151ccf2bd4340a1f935d1869d23c5 http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01979 https://doaj.org/toc/1673-3185 |
remote_bool |
true |
author2 |
Ke LIN |
author2Str |
Ke LIN |
ppnlink |
1680976788 |
callnumber-subject |
VM - Naval Architecture, Shipbuilding, Marine Engineering |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.19693/j.issn.1673-3185.01979 |
callnumber-a |
VM1-989 |
up_date |
2024-07-03T13:33:09.345Z |
_version_ |
1803564969464168448 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ055194958</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308190018.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.19693/j.issn.1673-3185.01979</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ055194958</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJaa8151ccf2bd4340a1f935d1869d23c5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield><subfield code="a">chi</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">VM1-989</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Weigang HUANG</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">New 3D cabin layout data collection method based on 2D graphic analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">ObjectivesIn order to realize the automatic collection of general ship layout data, a new 3D data collection method based on 2D graphic analysis is proposed. MethodsIn light of the inherent defects of drawings, a complete cabin boundary recognition algorithm is developed to achieve accurate cabin boundary information. Efficient matching between cabin attributes and cabin boundaries is realized using cabin and point serial numbers, and cabin 3D automatic modeling is realized through hierarchical Boolean operation technology. ResultsThis reliable and feasible method reduces the general layout work of 3D cabin modeling, data analysis and unsinkability raw data consolidation, as well as improving design efficiency. ConclusionsThe above technology allows automatic modeling from a 2D layout to a 3D cabin. The development and testing of the relevant layout information collection software is carried out, and the test results verify the feasibility and applicability of the proposed data collection method.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ship</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cabin modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">general ship layout data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">collection method</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">graphic analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">hierarchical boolean operation</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Naval architecture. Shipbuilding. Marine engineering</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ke LIN</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Zhongguo Jianchuan Yanjiu</subfield><subfield code="d">Editorial Office of Chinese Journal of Ship Research, 2017</subfield><subfield code="g">16(2021), 4, Seite 125-131</subfield><subfield code="w">(DE-627)1680976788</subfield><subfield code="x">16733185</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:125-131</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.19693/j.issn.1673-3185.01979</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/aa8151ccf2bd4340a1f935d1869d23c5</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01979</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1673-3185</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1673-3185</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2817</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">2021</subfield><subfield code="e">4</subfield><subfield code="h">125-131</subfield></datafield></record></collection>
|
score |
7.40178 |