{"id":"https://openalex.org/W3006623522","doi":"https://doi.org/10.1109/access.2020.2973412","title":"Identification of Heat Supply Network Pipeline Roughness Based on AIOX-GA","display_name":"Identification of Heat Supply Network Pipeline Roughness Based on AIOX-GA","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3006623522","doi":"https://doi.org/10.1109/access.2020.2973412","mag":"3006623522"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2973412","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973412","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08995506.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08995506.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070077872","display_name":"Qingwu Fan","orcid":"https://orcid.org/0000-0001-6900-7823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwu Fan","raw_affiliation_strings":["Beijing Key Laboratory of Urban Rail Transit, Beijing University of Technology, Beijing, China","Digital Community Engineering Research Center, Ministry of Education, Beijing University of Technology, Beijing, China","Information Department, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6900-7823","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Urban Rail Transit, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Digital Community Engineering Research Center, Ministry of Education, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Information Department, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059238612","display_name":"Xingqi Zhou","orcid":"https://orcid.org/0000-0001-9326-4280"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingqi Zhou","raw_affiliation_strings":["Beijing Key Laboratory of Urban Rail Transit, Beijing University of Technology, Beijing, China","Digital Community Engineering Research Center, Ministry of Education, Beijing University of Technology, Beijing, China","Information Department, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9326-4280","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Urban Rail Transit, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Digital Community Engineering Research Center, Ministry of Education, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Information Department, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743605","display_name":"Shaoen Wu","orcid":"https://orcid.org/0000-0002-4768-6930"},"institutions":[{"id":"https://openalex.org/I198089087","display_name":"Ball State University","ror":"https://ror.org/00k6tx165","country_code":"US","type":"education","lineage":["https://openalex.org/I198089087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaoen Wu","raw_affiliation_strings":["Department of Computer Science, Ball State University, Muncie, USA"],"raw_orcid":"https://orcid.org/0000-0002-4768-6930","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ball State University, Muncie, USA","institution_ids":["https://openalex.org/I198089087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077654427","display_name":"Guanghuang Chen","orcid":"https://orcid.org/0000-0002-6462-8927"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghuang Chen","raw_affiliation_strings":["Beijing Key Laboratory of Urban Rail Transit, Beijing University of Technology, Beijing, China","Digital Community Engineering Research Center, Ministry of Education, Beijing University of Technology, Beijing, China","Information Department, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6462-8927","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Urban Rail Transit, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Digital Community Engineering Research Center, Ministry of Education, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Information Department, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2868,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54011736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"34552","last_page":"34563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11220","display_name":"Water Systems and Optimization","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12537","display_name":"Flow Measurement and Analysis","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/pipeline","display_name":"Pipeline (software)","score":0.872455358505249},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.641880452632904},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.6213439106941223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6104906797409058},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5900266766548157},{"id":"https://openalex.org/keywords/surface-finish","display_name":"Surface finish","score":0.5362372398376465},{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.5241473317146301},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4588068723678589},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38911867141723633},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.25455838441848755},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.19521445035934448},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14268088340759277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12048059701919556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11147525906562805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08173960447311401}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.872455358505249},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.641880452632904},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.6213439106941223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6104906797409058},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5900266766548157},{"id":"https://openalex.org/C71039073","wikidata":"https://www.wikidata.org/wiki/Q3439090","display_name":"Surface finish","level":2,"score":0.5362372398376465},{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.5241473317146301},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4588068723678589},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38911867141723633},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.25455838441848755},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.19521445035934448},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14268088340759277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12048059701919556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11147525906562805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08173960447311401},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2973412","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973412","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08995506.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4791e53f8bfb4a399047ec39b93b41e9","is_oa":true,"landing_page_url":"https://doaj.org/article/4791e53f8bfb4a399047ec39b93b41e9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 34552-34563 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2973412","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973412","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08995506.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1043315956","display_name":null,"funder_award_id":"2018ZX07111005","funder_id":"https://openalex.org/F4320335682","funder_display_name":"Major Science and Technology Program for Water Pollution Control and Treatment"},{"id":"https://openalex.org/G285618223","display_name":null,"funder_award_id":"61873007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2921721636","display_name":null,"funder_award_id":"61890935","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335682","display_name":"Major Science and Technology Program for Water Pollution Control and Treatment","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3006623522.pdf","grobid_xml":"https://content.openalex.org/works/W3006623522.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1518397110","https://openalex.org/W1965262084","https://openalex.org/W1965622335","https://openalex.org/W1998034799","https://openalex.org/W2010755610","https://openalex.org/W2013369534","https://openalex.org/W2066670127","https://openalex.org/W2081260156","https://openalex.org/W2102184039","https://openalex.org/W2343208593","https://openalex.org/W2351325575","https://openalex.org/W2588668640","https://openalex.org/W2635389000","https://openalex.org/W2767072011","https://openalex.org/W2902611338","https://openalex.org/W6667105127"],"related_works":["https://openalex.org/W4380433113","https://openalex.org/W4386072068","https://openalex.org/W252339960","https://openalex.org/W2390529043","https://openalex.org/W2378320433","https://openalex.org/W2358343511","https://openalex.org/W2071821326","https://openalex.org/W2051877971","https://openalex.org/W1970117064","https://openalex.org/W1787170397"],"abstract_inverted_index":{"The":[0,43,95,149,160],"scale":[1],"of":[2,13,34,46,70,73,92,122,128,151],"heating":[3,27,47,74,93],"system":[4],"is":[5,16,24,49,57,62,81,98,116,137,143,155],"expanding":[6],"day":[7,9],"by":[8],"and":[10,19,41,101,136,173],"the":[11,66,78,120,124,152,164,170,176],"structure":[12],"pipeline":[14,35,48,79,171],"network":[15,36],"becoming":[17],"more":[18,20],"complex.":[21],"Therefore,":[22],"it":[23,56,61],"urgent":[25],"for":[26],"enterprises":[28],"to":[29,37,51,64,103,118,145],"establish":[30],"accurate":[31],"hydraulic":[32,52],"models":[33],"assist":[38],"their":[39],"operation":[40],"management.":[42],"pipe":[44,71,129],"roughness":[45,72,80,172],"critical":[50],"models,":[53],"but":[54],"unfortunately":[55],"however":[58,99],"uncertain.":[59],"Thus,":[60],"necessary":[63],"obtain":[65],"resistance":[67,125],"coefficient":[68,126],"values":[69,127],"pipeline.":[75],"At":[76],"present,":[77],"commonly":[82],"estimated":[83],"with":[84,157],"optimization":[85,96],"calculation":[86],"based":[87],"on":[88],"collected":[89],"measurement":[90],"data":[91],"systems.":[94],"problem":[97,121],"multi-dimensional":[100,147],"complex":[102],"solve.":[104],"In":[105],"this":[106],"work,":[107],"an":[108,138],"auxiliary":[109,139],"individual":[110],"oriented":[111],"crossover":[112,134],"genetic":[113],"algorithm":[114,154,166],"(AIOX-GA)":[115],"proposed":[117,165],"optimize":[119],"estimating":[123],"roughness.":[130],"AIOX-GA":[131],"adopts":[132],"a":[133],"framework":[135],"individual-oriented":[140],"scheme,":[141],"which":[142],"helpful":[144],"solve":[146],"problems.":[148],"performance":[150],"improved":[153],"evaluated":[156],"simulation":[158],"experiments.":[159],"results":[161],"show":[162],"that":[163],"can":[167],"accurately":[168],"estimate":[169],"effectively":[174],"improve":[175],"identification":[177],"accuracy.":[178]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
