各品牌DCS;PLC停产备件模块本公司：PLC、DCS系统备件模块〖⒈〗Allen-Bradley(美国AB)系列产品》〖⒉〗(莫迪康电气)系列产品》〖⒊〗Generalelectric(通用电气)系列产品》〖⒋〗Westinghouse（美国西屋）系列产品》〖⒍〗销售ABBRobots.FANUCRobots、YASKAWARobots、KUKARobots、MitsubishiRobots、OTCRobots、PanasonicRobots、MOTOMANRobots〖⒎〗estinghouse（西屋）：OVATION系统、WDPF系统、MAX1000系统备件。〖⒏〗InvensysFoxboro（福克斯波罗）：IASeries系统，FBM（现场输入输出模块）顺序控制、梯形逻辑控制、事故追忆处理、数模转换、输入输出信号处理、数据通信及处理等。InvensysTriconex冗余容错控制系统、基于三重模件冗余（TMR）结构的现代化的容错控制器。〖⒑〗BoschRexroth（博世力士乐）：Indramat，IO模块,PLC控制器,驱动模块等。〖⒒〗Motorola（摩托罗拉）：MVME162、MVME167、MVME1772、MVME177等系列。深圳长欣是一家专注于电气工程和工业自动化的备件批发商。深圳长欣与众多制造商合作，专注于提供零部件，原始设备制造商，面板制造商，行业和终用户的停产部件解决方案在B-to-B电气产品拥有市场，在其市场中为客户提供帮助通过遍布65个5大洲的密集网络，开发了停产部件解决方案，致力于将价值的工业备件以及服务更贴近客户我们很自豪成为工业零部件标准制定者主要特点：958481321300350211080380Establishinghuman-robottrustisn’talwayseasy.Beyondthefearofautomationgoingrogue,robotssimplydon’tcommunicatehowtheyaredoing.Whenthishappens,establishingabasisforhumanstotrustrobotscanbedifficult.Now,researchissheddinglightonhowautonomoussystemscanfosterhumanconfidenceinrobots.Largely,theresearchsuggeststhathumansh***eaneasiertimetrustingarobotthatofferssomekindofself-asses***entasitgoesaboutitstasks,accordingtoAasthaAcharya,aDraperScholarandPh.D.candidateattheUniversityofColoradoBoulder.Acharyasaidweneedtostartc***ideringwhatcommunicati***areuseful,particularlyifwewanttoh***ehumanstrustandrelyontheirautomatedco-workers.“Wecantakecuesfromanyeffectiveworkplacerelati***hip,wherethekeytoestablishingtrustisunderstandingco-workers’capabilitiesandlimitati***,”shesaid.Agapinunderstandingcanleadtoimpropertaskingoftherobot,andsubsequentmisuse,abuseordisuseofitsautonomy.Tounderstandtheproblem,AcharyajoinedresearchersfromDraperandtheUniversityofColoradoBouldertostudyhowautonomousrobotsthatuselearnedprobabilisticworldmodelscancomputeandexpressself-assessedcompetenciesintheformofmachineself-confidence.Probabilisticworldmodelstakeintoaccounttheimpactofuncertaintiesineventsoracti***inpredictingthepotentialoccurrenceoffuturethestudy,theworldmodelsweredesignedtoenabletherobotstoforecasttheirbeh***iorandreporttheirownperspectiveabouttheirtaskingpriortotaskexecution.Withthisinformation,ahumancanbetterjudgewhetherarobotissufficientlycapableofcompletingatask,andadjustexpectati***tosuitthedem***tratetheirmethod,researchersdevelopedandtestedaprobabilisticworldmodelonasimulatedintelligence,surveillanceandreconnaissancemissionforanautonomousuncrewedaerialvehicle(U***).TheU***flewoverafieldpopulatedbyaradiotower,anairstripandmountains.Themissionwasdesignedtocollectdatafromthetowerwhile***oidingdetectionbyanadversary.TheU***wasaskedtoc***iderfactorssuchasdetecti***,collecti***,batterylifeandenvironmentalconditi***tounderstanditstaskndingswerereportedinthearticle“GeneralizingCompetencySelf-Asses***entforAutonomousVehiclesUsingDeepReinforcementLearning,”wheretheteamaddressedseveralimportantquesti***.Howdoweencourageappropriatehumantrustinanautonomoussystem?Howdoweknowthatself-assessedcapabilitiesoftheautonomoussystemareaccurate?Human-machinecollaborationliesatthecoreofawidespectrumofalgorithmicstrategiesforgeneratingsoftassurances,whicharecollectivelyaimedattrustmanagement,accordingtothepaper.“Humansmustbeabletoestablishabasisforcorrectlyusingandrelyingonroboticautonomyforsuccess,”theauthorssaid.TheteambehindthepaperincludesAcharya’sadvisorsRebeccaRussell,Ph.D.,fromDraperandNisarAhmed,Ph.D.,fromtheUniversityofColoradoBoulder.