Concrete precast beam cross section edge data set generation method
The invention discloses a concrete precast beam cross section edge data set generation method. The method comprises the following steps: S1, stipulating nine control parameters of a concrete precast beam cross section: beam height H, top plate gradient m, top plate right side width w1, top plate lef...
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| creator | NI YOUHAO CHEN GANG XU YINFEI LYU MANQI MAO JIANXIAO TIAN JIYUAN LIN YUXUAN WANG HAO |
| description | The invention discloses a concrete precast beam cross section edge data set generation method. The method comprises the following steps: S1, stipulating nine control parameters of a concrete precast beam cross section: beam height H, top plate gradient m, top plate right side width w1, top plate left side width w2, top plate thickness t3, top plate chamfering distance d, side plate thickness t1, bottom plate thickness t2 and bottom plate width w3; s2, coordinates of 18 edge angular points are calculated according to the nine stipulated control parameters; s3, sequentially connecting the calculated angular points and increasing noise; and S4, outputting and storing the nine control parameters, the coordinates of the edge angular points and the coordinates of the noise points. Effective data set support can be provided for a concrete precast beam cross section parameter identification technology based on deep learning, the problem that an existing concrete precast beam cross section data set is insufficient in |
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The method comprises the following steps: S1, stipulating nine control parameters of a concrete precast beam cross section: beam height H, top plate gradient m, top plate right side width w1, top plate left side width w2, top plate thickness t3, top plate chamfering distance d, side plate thickness t1, bottom plate thickness t2 and bottom plate width w3; s2, coordinates of 18 edge angular points are calculated according to the nine stipulated control parameters; s3, sequentially connecting the calculated angular points and increasing noise; and S4, outputting and storing the nine control parameters, the coordinates of the edge angular points and the coordinates of the noise points. Effective data set support can be provided for a concrete precast beam cross section parameter identification technology based on deep learning, the problem that an existing concrete precast beam cross section data set is insufficient in</description><language>chi ; eng</language><subject>ASSEMBLY OF BRIDGES ; CALCULATING ; COMPUTING ; CONSTRUCTION OF BRIDGES ; CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; FIXED CONSTRUCTIONS ; OR VIADUCTS ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230303&DB=EPODOC&CC=CN&NR=115726278A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76419</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230303&DB=EPODOC&CC=CN&NR=115726278A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>NI YOUHAO</creatorcontrib><creatorcontrib>CHEN GANG</creatorcontrib><creatorcontrib>XU YINFEI</creatorcontrib><creatorcontrib>LYU MANQI</creatorcontrib><creatorcontrib>MAO JIANXIAO</creatorcontrib><creatorcontrib>TIAN JIYUAN</creatorcontrib><creatorcontrib>LIN YUXUAN</creatorcontrib><creatorcontrib>WANG HAO</creatorcontrib><title>Concrete precast beam cross section edge data set generation method</title><description>The invention discloses a concrete precast beam cross section edge data set generation method. The method comprises the following steps: S1, stipulating nine control parameters of a concrete precast beam cross section: beam height H, top plate gradient m, top plate right side width w1, top plate left side width w2, top plate thickness t3, top plate chamfering distance d, side plate thickness t1, bottom plate thickness t2 and bottom plate width w3; s2, coordinates of 18 edge angular points are calculated according to the nine stipulated control parameters; s3, sequentially connecting the calculated angular points and increasing noise; and S4, outputting and storing the nine control parameters, the coordinates of the edge angular points and the coordinates of the noise points. 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The method comprises the following steps: S1, stipulating nine control parameters of a concrete precast beam cross section: beam height H, top plate gradient m, top plate right side width w1, top plate left side width w2, top plate thickness t3, top plate chamfering distance d, side plate thickness t1, bottom plate thickness t2 and bottom plate width w3; s2, coordinates of 18 edge angular points are calculated according to the nine stipulated control parameters; s3, sequentially connecting the calculated angular points and increasing noise; and S4, outputting and storing the nine control parameters, the coordinates of the edge angular points and the coordinates of the noise points. Effective data set support can be provided for a concrete precast beam cross section parameter identification technology based on deep learning, the problem that an existing concrete precast beam cross section data set is insufficient in</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ASSEMBLY OF BRIDGES CALCULATING COMPUTING CONSTRUCTION OF BRIDGES CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES COUNTING ELECTRIC DIGITAL DATA PROCESSING FIXED CONSTRUCTIONS OR VIADUCTS PHYSICS |
| title | Concrete precast beam cross section edge data set generation method |
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