{"id":"https://openalex.org/W4409641810","doi":"https://doi.org/10.1109/tim.2025.3562970","title":"Edge Intelligent Visual Monitoring of Substations Based on Lightweight Object Detection Model","display_name":"Edge Intelligent Visual Monitoring of Substations Based on Lightweight Object Detection Model","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409641810","doi":"https://doi.org/10.1109/tim.2025.3562970"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3562970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3562970","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5100343894","display_name":"Min Liu","orcid":"https://orcid.org/0000-0002-3785-6932"},"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":"Min Liu","raw_affiliation_strings":["Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3785-6932","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356616","display_name":"Zhe Li","orcid":"https://orcid.org/0000-0001-7992-6372"},"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":"Zhe Li","raw_affiliation_strings":["Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7992-6372","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111959438","display_name":"Gehao Sheng","orcid":"https://orcid.org/0000-0002-9454-5284"},"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":"Gehao Sheng","raw_affiliation_strings":["Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9454-5284","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100343894"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.0958,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84354684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9294999837875366,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9294999837875366,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9038000106811523,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/object-detection","display_name":"Object detection","score":0.6403547525405884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6365044713020325},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5174494385719299},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5093506574630737},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4877370297908783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4596604108810425},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.41185683012008667},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22310718894004822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2055647373199463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0874210000038147}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6403547525405884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365044713020325},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5174494385719299},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5093506574630737},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4877370297908783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4596604108810425},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.41185683012008667},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22310718894004822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2055647373199463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0874210000038147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3562970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3562970","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2950865323","https://openalex.org/W2964241181","https://openalex.org/W2965862774","https://openalex.org/W3032984651","https://openalex.org/W3080462968","https://openalex.org/W3100993230","https://openalex.org/W3132707036","https://openalex.org/W3155592053","https://openalex.org/W3167976421","https://openalex.org/W4211194900","https://openalex.org/W4214524539","https://openalex.org/W4214765827","https://openalex.org/W4226257703","https://openalex.org/W4287888347","https://openalex.org/W4287889566","https://openalex.org/W4313119505","https://openalex.org/W4313639328","https://openalex.org/W4313839106","https://openalex.org/W4319999748","https://openalex.org/W4366549433","https://openalex.org/W4382203163","https://openalex.org/W4382982661","https://openalex.org/W4385731976","https://openalex.org/W4386076325","https://openalex.org/W4386083031","https://openalex.org/W4389990297","https://openalex.org/W4393157004","https://openalex.org/W4399939593","https://openalex.org/W4400043037","https://openalex.org/W4400875984","https://openalex.org/W4401071388","https://openalex.org/W4401808578","https://openalex.org/W4402493208","https://openalex.org/W4402571760","https://openalex.org/W4403731220","https://openalex.org/W4404479830","https://openalex.org/W6620707391","https://openalex.org/W6848712460"],"related_works":["https://openalex.org/W2315652488","https://openalex.org/W2028037572","https://openalex.org/W2039365229","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W65623452","https://openalex.org/W2145843506","https://openalex.org/W4293054829","https://openalex.org/W2056407677","https://openalex.org/W2128085731"],"abstract_inverted_index":{"Edge":[0],"intelligent":[1,7,14,21,60],"visual":[2],"monitoring":[3,22],"of":[4,46,62,104,154,174],"substations":[5],"performs":[6],"detection":[8,49,56,128],"on":[9,148,177],"collected":[10],"images":[11],"at":[12],"edge":[13,31,59,178],"perception":[15],"terminals,":[16],"representing":[17],"a":[18,54,158,171],"novel":[19],"substation":[20],"paradigm":[23],"distinct":[24],"from":[25],"the":[26,42,69,80,100,105,118,149,175],"cloud":[27],"computing":[28,32,36],"mode.":[29],"However,":[30],"devices":[33],"have":[34],"limited":[35],"power":[37],"and":[38,44,72,90,102,126,137,168],"memory.":[39],"To":[40],"enhance":[41,141],"efficiency":[43],"feasibility":[45],"edge-side":[47],"object":[48],"algorithms,":[50],"this":[51],"paper":[52],"proposes":[53],"lightweight":[55],"algorithm":[57],"for":[58],"inspection":[61],"substations.":[63],"Firstly,":[64],"YOLOv6":[65],"is":[66,74,114,132],"adopted":[67],"as":[68],"baseline":[70],"model":[71,81,119,135,142,161,176],"QARepVGG":[73],"introduced":[75],"to":[76,83,97,116,120,140],"yield":[77],"QAYOLOv6,":[78],"making":[79],"conducive":[82],"quantization.":[84],"Secondly,":[85],"group":[86],"channel":[87],"pruning":[88,93,167],"(GCP)":[89],"efficient":[91],"layer":[92],"(ELP)":[94],"are":[95],"proposed":[96],"respectively":[98],"prune":[99],"channels":[101],"layers":[103],"model,":[106],"reducing":[107,123],"redundant":[108],"parameters.":[109],"Finally,":[110],"quantization-aware":[111],"training":[112,136],"(QAT)":[113],"employed":[115],"quantize":[117],"INT8,":[121],"further":[122],"computational":[124,162],"cost":[125,163],"boosting":[127],"speed.":[129],"Knowledge":[130],"distillation":[131],"utilized":[133],"in":[134,160,186],"fine-tuning":[138],"processes":[139],"accuracy.":[143,187],"Experimental":[144],"results":[145],"show":[146],"that":[147],"visible":[150],"light":[151],"defect":[152],"dataset":[153],"substations,":[155],"we":[156],"achieve":[157],"reduction":[159],"by":[164],"63%":[165],"through":[166],"attain":[169],"over":[170],"fivefold":[172],"acceleration":[173],"platforms":[179],"after":[180],"INT8":[181],"quantization,":[182],"with":[183],"minimal":[184],"loss":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
