{"id":"https://openalex.org/W4411010068","doi":"https://doi.org/10.1145/3728725.3728757","title":"Intelligent PLC Code Generation in HCPS 2.0: A Multi-dimensional Taxonomy and Evolutionary Framework","display_name":"Intelligent PLC Code Generation in HCPS 2.0: A Multi-dimensional Taxonomy and Evolutionary Framework","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4411010068","doi":"https://doi.org/10.1145/3728725.3728757"},"language":"en","primary_location":{"id":"doi:10.1145/3728725.3728757","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728757","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728757","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728757","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076811917","display_name":"Weiyi Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Weiyi Xia","raw_affiliation_strings":["National Engineering Research Center for Manufacturing Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Manufacturing Automation, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000009960","display_name":"Yongtuo Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145825","display_name":"China Academy Of Machinery Science & Technology (China)","ror":"https://ror.org/04gpxrn68","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinggang Zhang","raw_affiliation_strings":["China Academy of Machinery Science &amp; Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Academy of Machinery Science &amp; Technology, Beijing, China","institution_ids":["https://openalex.org/I4210145825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108944110","display_name":"Ben Zhao","orcid":"https://orcid.org/0000-0002-7581-6317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben Zhao","raw_affiliation_strings":["National Engineering Research Center for Manufacturing Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Manufacturing Automation, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431750","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-5102-2934"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["National Engineering Research Center for Manufacturing Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Manufacturing Automation, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113988813","display_name":"Linjie Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linjie Han","raw_affiliation_strings":["National Engineering Research Center for Manufacturing Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Manufacturing Automation, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068092060","display_name":"QiuPing Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qifu Ye","raw_affiliation_strings":["Aerospace Long March Rocket Technology Co. LTD, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Long March Rocket Technology Co. LTD, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076811917"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16799052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13344","display_name":"Industrial Automation and Control Systems","score":0.9934999942779541,"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"}},"topics":[{"id":"https://openalex.org/T13344","display_name":"Industrial Automation and Control Systems","score":0.9934999942779541,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.9753999710083008,"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/computer-science","display_name":"Computer science","score":0.693183183670044},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.6245133876800537},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.49788379669189453},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.43507298827171326},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4251420497894287},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.08491018414497375},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07938423752784729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693183183670044},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.6245133876800537},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.49788379669189453},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43507298827171326},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4251420497894287},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.08491018414497375},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07938423752784729},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3728725.3728757","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728757","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728757","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3728725.3728757","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728757","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728757","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411010068.pdf","grobid_xml":"https://content.openalex.org/works/W4411010068.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1973011143","https://openalex.org/W1977654868","https://openalex.org/W1977970768","https://openalex.org/W2046978920","https://openalex.org/W2085782116","https://openalex.org/W2115082479","https://openalex.org/W2120145129","https://openalex.org/W2166925868","https://openalex.org/W2518547313","https://openalex.org/W2551642962","https://openalex.org/W2733849643","https://openalex.org/W2751906255","https://openalex.org/W2770866009","https://openalex.org/W2789766078","https://openalex.org/W2810148163","https://openalex.org/W2884031686","https://openalex.org/W2909813527","https://openalex.org/W2954430551","https://openalex.org/W2963015168","https://openalex.org/W2997603085","https://openalex.org/W3027032379","https://openalex.org/W3096848606","https://openalex.org/W3207626538","https://openalex.org/W4386161516","https://openalex.org/W4393201813","https://openalex.org/W4399213405","https://openalex.org/W4399557965","https://openalex.org/W4402409840","https://openalex.org/W4403995628","https://openalex.org/W4404342131"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"manufacturing":[1,33,61],"industry":[2],"is":[3],"accelerating":[4],"towards":[5],"the":[6,11,28,44,57,66],"New-Generation":[7],"Intelligent":[8],"Manufacturing,":[9],"where":[10],"automatic":[12,91],"generation":[13,94,133],"of":[14,32,59,69,141,154],"Programmable":[15],"Logic":[16],"Controllers":[17],"(PLCs)":[18],"code":[19,93,108,118],"serves":[20],"as":[21,134],"a":[22,101,138],"key":[23],"technology,":[24],"crucial":[25],"for":[26,46,104],"enhancing":[27],"intelligence":[29],"and":[30,48,62,73,81,99,126,129,144,152],"efficiency":[31],"systems.":[34],"Traditional":[35],"manual":[36],"programming":[37],"has":[38],"become":[39],"increasingly":[40],"inadequate":[41],"to":[42,147],"meet":[43],"demands":[45],"flexibility":[47],"real-time":[49,127],"performance":[50],"in":[51,84,116],"intelligent":[52,60,86,122,132,150],"manufacturing.":[53,87,155],"This":[54],"paper":[55,112],"reviews":[56],"integration":[58],"PLC":[63,92],"technologies,":[64],"highlighting":[65],"core":[67],"role":[68],"Human-Cyber-Physical":[70],"Systems":[71],"(HCPS)":[72],"demonstrating":[74],"how":[75],"it":[76],"effectively":[77],"guides":[78],"theoretical":[79],"research":[80],"engineering":[82],"practices":[83],"new-generation":[85],"We":[88],"innovatively":[89],"classify":[90],"methods":[95],"through":[96],"multiple":[97],"dimensions":[98],"propose":[100],"new":[102],"framework":[103],"Structured":[105],"Text":[106],"(ST)":[107],"generation.":[109],"Finally,":[110],"this":[111],"discusses":[113],"future":[114],"trends":[115],"controller":[117],"generation,":[119,123],"identifying":[120],"multimodal-driven":[121],"adaptive":[124],"learning":[125],"optimization,":[128],"cloud-edge":[130],"collaborative":[131],"significant":[135],"directions,":[136],"forming":[137],"technical":[139],"roadmap":[140],"\"parallel":[142],"promotion":[143],"integrated":[145],"development\"":[146],"support":[148],"comprehensive":[149],"transformation":[151],"upgrading":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
