Assembly path planning method based on multi-factor cost guidance in virtual assembly simulation
The invention discloses an assembly path planning method based on multi-factor cost guidance in virtual assembly simulation, and the method comprises the following steps: 1, building a virtual assembly three-dimensional environment, setting a search space boundary of an assembly path, determining a...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | DUAN XIAOKUN XIONG JING |
| description | The invention discloses an assembly path planning method based on multi-factor cost guidance in virtual assembly simulation, and the method comprises the following steps: 1, building a virtual assembly three-dimensional environment, setting a search space boundary of an assembly path, determining a range for limiting the search of the assembly path, and setting a planning initial parameter; 2, inthe assembly path search space, taking the initial state of the part to be assembled as a root node, taking multi-factor path cost as guidance, and performing assembly path search and extension in combination with a quick search random tree algorithm; 3, expanding the path tree into the near space of the target state of the part to be assembled, finishing path search, and obtaining a complete assembly path from the initial state to the target state. According to the method, an assembly path multi-factor cost model is constructed by taking the path distance, the path inflection point corner andthe rotation movement ang |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN111338334A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN111338334A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN111338334A3</originalsourceid><addsrcrecordid>eNqNjDEOgkAQAGksjPqH9QEU5CxsCcFYWdnjciywyd3ehV1M_L0W2ltNMzPb4lGrUuzDCzLaDDmgCMsEkWxOA_SoNEASiGswLkf0lhbwSQ2mlQcUT8ACT15sxQD4myl_AjROsi82Iwalw5e74nhp7821pJw60oyehKxrblVVOXd27lS7f5w36889sQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Assembly path planning method based on multi-factor cost guidance in virtual assembly simulation</title><source>esp@cenet</source><creator>DUAN XIAOKUN ; XIONG JING</creator><creatorcontrib>DUAN XIAOKUN ; XIONG JING</creatorcontrib><description>The invention discloses an assembly path planning method based on multi-factor cost guidance in virtual assembly simulation, and the method comprises the following steps: 1, building a virtual assembly three-dimensional environment, setting a search space boundary of an assembly path, determining a range for limiting the search of the assembly path, and setting a planning initial parameter; 2, inthe assembly path search space, taking the initial state of the part to be assembled as a root node, taking multi-factor path cost as guidance, and performing assembly path search and extension in combination with a quick search random tree algorithm; 3, expanding the path tree into the near space of the target state of the part to be assembled, finishing path search, and obtaining a complete assembly path from the initial state to the target state. According to the method, an assembly path multi-factor cost model is constructed by taking the path distance, the path inflection point corner andthe rotation movement ang</description><language>chi ; eng</language><subject>CONTROLLING ; PHYSICS ; REGULATING ; SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES</subject><creationdate>2020</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=20200626&DB=EPODOC&CC=CN&NR=111338334A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200626&DB=EPODOC&CC=CN&NR=111338334A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>DUAN XIAOKUN</creatorcontrib><creatorcontrib>XIONG JING</creatorcontrib><title>Assembly path planning method based on multi-factor cost guidance in virtual assembly simulation</title><description>The invention discloses an assembly path planning method based on multi-factor cost guidance in virtual assembly simulation, and the method comprises the following steps: 1, building a virtual assembly three-dimensional environment, setting a search space boundary of an assembly path, determining a range for limiting the search of the assembly path, and setting a planning initial parameter; 2, inthe assembly path search space, taking the initial state of the part to be assembled as a root node, taking multi-factor path cost as guidance, and performing assembly path search and extension in combination with a quick search random tree algorithm; 3, expanding the path tree into the near space of the target state of the part to be assembled, finishing path search, and obtaining a complete assembly path from the initial state to the target state. According to the method, an assembly path multi-factor cost model is constructed by taking the path distance, the path inflection point corner andthe rotation movement ang</description><subject>CONTROLLING</subject><subject>PHYSICS</subject><subject>REGULATING</subject><subject>SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjDEOgkAQAGksjPqH9QEU5CxsCcFYWdnjciywyd3ehV1M_L0W2ltNMzPb4lGrUuzDCzLaDDmgCMsEkWxOA_SoNEASiGswLkf0lhbwSQ2mlQcUT8ACT15sxQD4myl_AjROsi82Iwalw5e74nhp7821pJw60oyehKxrblVVOXd27lS7f5w36889sQ</recordid><startdate>20200626</startdate><enddate>20200626</enddate><creator>DUAN XIAOKUN</creator><creator>XIONG JING</creator><scope>EVB</scope></search><sort><creationdate>20200626</creationdate><title>Assembly path planning method based on multi-factor cost guidance in virtual assembly simulation</title><author>DUAN XIAOKUN ; XIONG JING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111338334A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>CONTROLLING</topic><topic>PHYSICS</topic><topic>REGULATING</topic><topic>SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES</topic><toplevel>online_resources</toplevel><creatorcontrib>DUAN XIAOKUN</creatorcontrib><creatorcontrib>XIONG JING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>DUAN XIAOKUN</au><au>XIONG JING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Assembly path planning method based on multi-factor cost guidance in virtual assembly simulation</title><date>2020-06-26</date><risdate>2020</risdate><abstract>The invention discloses an assembly path planning method based on multi-factor cost guidance in virtual assembly simulation, and the method comprises the following steps: 1, building a virtual assembly three-dimensional environment, setting a search space boundary of an assembly path, determining a range for limiting the search of the assembly path, and setting a planning initial parameter; 2, inthe assembly path search space, taking the initial state of the part to be assembled as a root node, taking multi-factor path cost as guidance, and performing assembly path search and extension in combination with a quick search random tree algorithm; 3, expanding the path tree into the near space of the target state of the part to be assembled, finishing path search, and obtaining a complete assembly path from the initial state to the target state. According to the method, an assembly path multi-factor cost model is constructed by taking the path distance, the path inflection point corner andthe rotation movement ang</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN111338334A |
| source | esp@cenet |
| subjects | CONTROLLING PHYSICS REGULATING SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES |
| title | Assembly path planning method based on multi-factor cost guidance in virtual assembly simulation |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T01%3A27%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=DUAN%20XIAOKUN&rft.date=2020-06-26&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN111338334A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |