{"id":"https://openalex.org/W7223787929","doi":"https://doi.org/10.1177/01423312261499539","title":"Physics-guided soft sensing and inflow forecasting for urban drainage pump stations","display_name":"Physics-guided soft sensing and inflow forecasting for urban drainage pump stations","publication_year":2026,"publication_date":"2026-10-27","ids":{"openalex":"https://openalex.org/W7223787929","doi":"https://doi.org/10.1177/01423312261499539"},"language":"en","primary_location":{"id":"doi:10.1177/01423312261499539","doi":"https://doi.org/10.1177/01423312261499539","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01423312261499539","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5100456261","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-5140-7770","observed_orcids":["https://orcid.org/0000-0002-5140-7770"]},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Logistics Engineering College, Shanghai Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Logistics Engineering College, Shanghai Maritime University, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5159784235","display_name":"Xiaoyang Li","orcid":"https://orcid.org/0009-0006-2036-9077","observed_orcids":["https://orcid.org/0009-0006-2036-9077"]},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyang Li","raw_affiliation_strings":["Logistics Engineering College, Shanghai Maritime University, China"],"raw_orcid":"https://orcid.org/0009-0006-2036-9077","affiliations":[{"raw_affiliation_string":"Logistics Engineering College, Shanghai Maritime University, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038811704","display_name":"Weizhong Huang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210086678","display_name":"Shanghai Urban Construction Design and Research Institute (Group)","ror":"https://ror.org/00y4qmx55","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210086678"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhong Huang","raw_affiliation_strings":["Shanghai Urban Construction Design & Research Institute (Group) Co., Ltd., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Urban Construction Design & Research Institute (Group) Co., Ltd., China","institution_ids":["https://openalex.org/I4210086678"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5159784235"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72540876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.8804000020027161,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.8804000020027161,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11119","display_name":"Urban Stormwater Management Solutions","score":0.05979999899864197,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.03929999843239784,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inflow-forecasting","display_name":"inflow forecasting","score":0.9940000176429749},{"id":"https://openalex.org/keywords/soft-sensing","display_name":"soft sensing","score":0.9200000166893005},{"id":"https://openalex.org/keywords/mass-conservation","display_name":"mass conservation","score":0.878000020980835},{"id":"https://openalex.org/keywords/pump-switching","display_name":"pump switching","score":0.5540000200271606},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.871999979019165},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.7300000190734863},{"id":"https://openalex.org/keywords/hybrid-forecasting-model","display_name":"hybrid forecasting model","score":0.5770000219345093}],"concepts":[{"id":"https://openalex.org/C2776132308","wikidata":"https://www.wikidata.org/wiki/Q11070850","display_name":"Inflow","level":2,"score":0.9391000270843506},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.5455999970436096},{"id":"https://openalex.org/C67592535","wikidata":"https://www.wikidata.org/wiki/Q7481320","display_name":"Drainage","level":2,"score":0.5273000001907349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5116000175476074},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5115000009536743},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.37619999051094055},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3538999855518341},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.35359999537467957},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.30970001220703125},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2903999984264374},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/01423312261499539","doi":"https://doi.org/10.1177/01423312261499539","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01423312261499539","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.761900007724762,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"},{"score":0.6618000268936157,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"},{"score":0.651199996471405,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2900811428","https://openalex.org/W2964121744","https://openalex.org/W2990353568","https://openalex.org/W3022655964","https://openalex.org/W3092521816","https://openalex.org/W3115179582","https://openalex.org/W3131823993","https://openalex.org/W3175615720","https://openalex.org/W3177318507","https://openalex.org/W4221107018","https://openalex.org/W4224236133","https://openalex.org/W4289525578","https://openalex.org/W4362465188","https://openalex.org/W4382203079","https://openalex.org/W4386385174","https://openalex.org/W4387206019","https://openalex.org/W4399159159","https://openalex.org/W4399283011","https://openalex.org/W4404435270","https://openalex.org/W4404499338","https://openalex.org/W4408145443","https://openalex.org/W4408809146","https://openalex.org/W4415068561","https://openalex.org/W7123354294"],"related_works":["https://openalex.org/W7163905156","https://openalex.org/W7171986271","https://openalex.org/W4365510275","https://openalex.org/W7214334374","https://openalex.org/W193114371","https://openalex.org/W7213431857","https://openalex.org/W7165556172","https://openalex.org/W7167810687","https://openalex.org/W7154408990","https://openalex.org/W7163588795"],"abstract_inverted_index":{"Accurate":[0],"inflow":[1,40,65,214],"forecasting":[2,35,80,215],"is":[3,12],"critical":[4],"for":[5,213],"urban":[6,148,217],"drainage":[7,149,218],"pump-station":[8],"control,":[9],"yet":[10],"it":[11,230],"hindered":[13],"by":[14,24,181,190],"limited":[15],"direct":[16],"flow":[17],"monitoring":[18],"and":[19,42,48,71,99,126,141,161,189,209,236],"strong":[20],"hydraulic":[21,112],"non-stationarity":[22],"caused":[23],"frequent":[25],"pump":[26,150],"switching.":[27],"This":[28],"study":[29],"aims":[30],"to":[31,62,108,121,170],"develop":[32],"a":[33,78,103,115,131,146,206],"physics-guided":[34,222],"framework":[36,156,204],"that":[37,153],"improves":[38,231],"both":[39,128,232],"reconstruction":[41],"short-horizon":[43],"prediction":[44,163],"under":[45,239],"mixed":[46],"stationary":[47],"transient":[49,124,162,177],"operating":[50],"regimes.":[51],"A":[52],"mass-conservation-based":[53],"soft-sensing":[54],"method":[55],"with":[56,184,193,225],"hierarchical":[57],"denoising":[58],"was":[59,90],"first":[60],"developed":[61],"reconstruct":[63],"high-quality":[64],"labels":[66],"from":[67,145],"noisy":[68],"Supervisory":[69,139],"Control":[70,140],"Data":[72,142],"Acquisition":[73,143],"variables.":[74],"On":[75],"this":[76],"basis,":[77],"hybrid":[79],"architecture,":[81],"termed":[82],"dynamic":[83,116],"dilated":[84,117],"temporal":[85,118,132],"convolutional":[86,119],"network\u2013long":[87],"short-term":[88,105,187],"memory\u2013attention,":[89],"constructed.":[91],"The":[92,202],"model":[93,175],"decouples":[94],"the":[95,154,158,166,173,198],"input":[96],"into":[97],"trend":[98],"event":[100],"features,":[101],"uses":[102],"long":[104,186],"memory":[106,188],"branch":[107],"encode":[109],"slowly":[110],"varying":[111],"trends,":[113],"employs":[114],"network":[120],"capture":[122],"abrupt":[123],"disturbances":[125],"integrates":[127],"branches":[129],"through":[130],"attention-gated":[133],"fusion":[134],"mechanism.":[135],"Experiments":[136],"on":[137],"minute-resolution":[138],"data":[144],"large-scale":[147],"station":[151],"showed":[152],"proposed":[155,174,203],"achieved":[157],"best":[159,199],"overall":[160],"performance":[164],"among":[165],"compared":[167,183,192],"models.":[168],"Relative":[169],"baseline":[171],"methods,":[172],"reduced":[176],"mean":[178],"absolute":[179],"error":[180],"18.3%":[182],"standalone":[185],"35.0%":[191],"DLinear,":[194],"while":[195],"also":[196],"achieving":[197],"global":[200],"accuracy.":[201],"provides":[205],"physically":[207],"grounded":[208],"operationally":[210],"relevant":[211],"solution":[212],"in":[216],"systems.":[219],"By":[220],"combining":[221],"soft":[223],"sensing":[224],"adaptive":[226],"multi-scale":[227],"sequence":[228],"modelling,":[229],"average":[233],"trajectory":[234],"tracking":[235],"response":[237],"fidelity":[238],"pump-switching":[240],"disturbances.":[241]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-28T00:00:00"}