{"id":"https://openalex.org/W7118505884","doi":"https://doi.org/10.1109/indin64977.2025.11279674","title":"Industrial Large-language-model Based Standard-Enhanced Digital Twin System","display_name":"Industrial Large-language-model Based Standard-Enhanced Digital Twin System","publication_year":2025,"publication_date":"2025-07-12","ids":{"openalex":"https://openalex.org/W7118505884","doi":"https://doi.org/10.1109/indin64977.2025.11279674"},"language":null,"primary_location":{"id":"doi:10.1109/indin64977.2025.11279674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044526241","display_name":"Xuehan Bai","orcid":"https://orcid.org/0000-0001-9253-2538"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuehan Bai","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,P. R. China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,P. R. China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055758615","display_name":"C Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cailian Chen","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,P. R. China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,P. R. China,200240","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044526241"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67875801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.7854999899864197,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.7854999899864197,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.04540000110864639,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.01940000057220459,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.7609000205993652},{"id":"https://openalex.org/keywords/industry-4.0","display_name":"Industry 4.0","score":0.3278999924659729},{"id":"https://openalex.org/keywords/electric-power-industry","display_name":"Electric power industry","score":0.2953000068664551},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2840999960899353},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.27630001306533813}],"concepts":[{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.7609000205993652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4772000014781952},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4404999911785126},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3758000135421753},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C2777986313","wikidata":"https://www.wikidata.org/wiki/Q1661989","display_name":"Industry 4.0","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.29829999804496765},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C170777988","wikidata":"https://www.wikidata.org/wiki/Q2316331","display_name":"Electric power industry","level":3,"score":0.2953000068664551},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C82753439","wikidata":"https://www.wikidata.org/wiki/Q1419090","display_name":"Industrial production","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C126082660","wikidata":"https://www.wikidata.org/wiki/Q4252370","display_name":"Digital transformation","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C2781460075","wikidata":"https://www.wikidata.org/wiki/Q1399332","display_name":"Compliance (psychology)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.2653000056743622},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin64977.2025.11279674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6099749803543091}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W4289525326","https://openalex.org/W4303982336","https://openalex.org/W4381951285","https://openalex.org/W4388320607","https://openalex.org/W4399462409","https://openalex.org/W4400976524","https://openalex.org/W4401417198","https://openalex.org/W4404036832","https://openalex.org/W4405305997","https://openalex.org/W4405306282","https://openalex.org/W4406727840","https://openalex.org/W4406731238","https://openalex.org/W4407099505","https://openalex.org/W4407638558","https://openalex.org/W4409206472"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,13,37,69,78,110],"advancement":[2],"of":[3,39,64,81],"Industry":[4],"4.0,":[5],"digital":[6,53,82,133],"twins":[7,54,83],"have":[8],"become":[9],"increasingly":[10],"widespread":[11],"in":[12,33,130],"industrial":[14,70,86,92,131],"sector,":[15],"providing":[16],"real-time":[17],"data":[18],"acquisition,":[19],"simulation,":[20],"and":[21,94,128],"optimization":[22],"capabilities.":[23],"However,":[24],"ensuring":[25,66],"standardized":[26,79],"operations":[27],"remains":[28],"a":[29,75,121],"significant":[30],"challenge,":[31],"particularly":[32],"complex":[34],"environments":[35],"where":[36],"absence":[38],"experienced":[40],"engineers":[41],"can":[42,55],"lead":[43],"to":[44,113],"non-compliant":[45],"designs":[46],"or":[47,60],"unsafe":[48],"practices.":[49],"To":[50],"address":[51],"this,":[52],"act":[56],"as":[57],"self-checking":[58],"tools":[59],"enable":[61],"manual":[62],"querying":[63],"standards,":[65],"compliance":[67,97],"throughout":[68],"process.":[71],"This":[72,118],"paper":[73],"proposes":[74],"framework":[76],"for":[77,124],"operation":[80],"based":[84],"on":[85,101],"large":[87],"language":[88],"models":[89],"(LLMs),":[90],"integrating":[91],"standards":[93],"dynamically":[95],"detecting":[96],"during":[98],"operations.":[99],"Experiments":[100],"power":[102],"system":[103],"standardization":[104],"tested":[105],"different":[106],"LLM":[107,116],"approaches,":[108],"demonstrating":[109],"framework\u2019s":[111],"ability":[112],"guide":[114],"task-specific":[115],"selection.":[117],"research":[119],"offers":[120],"robust":[122],"solution":[123],"enhancing":[125],"compliance,":[126],"safety,":[127],"efficiency":[129],"AI-powered":[132],"twins.":[134]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-08T00:00:00"}
