http://www.kadhoai.com.cn 2026-04-07 07:31:59 來源:ADI
摘要
本文將審視當今製造業麵臨的核心挑戰,探索正在席卷行業的變革浪潮。這場變革源於對資源敏感型製造的全新關注,而人工智能、分散式控製、混合組網及軟件定義自動化等新技術與能力協同發力,共同為未來數字化工廠的崛起築牢根基。
製造業麵臨的挑戰
製zhi造zao業ye正zheng處chu於yu一yi場chang轉zhuan型xing浪lang潮chao之zhi中zhong,消xiao費fei者zhe對dui個ge性xing化hua產chan品pin需xu求qiu的de增zeng長chang,加jia之zhi疫yi情qing後hou供gong應ying鏈lian危wei機ji催cui生sheng的de產chan業ye回hui流liu趨qu勢shi等deng,成cheng為wei推tui動dong這zhe一yi變bian革ge的de主zhu要yao驅qu動dong力li。而er這zhe些xie,僅jin僅jin是shi眾zhong多duo挑tiao戰zhan中zhong的de冰bing山shan一yi角jiao。與yu此ci同tong時shi,全quan球qiu各ge國guo政zheng府fu也ye紛fen紛fen出chu台tai相xiang關guan法fa規gui,以yi減jian少shao製zhi造zao業ye的de碳tan排pai放fang,從cong而er實shi現xian溫wen室shi氣qi體ti淨jing零ling排pai放fang目mu標biao。應ying對dui這zhe些xie挑tiao戰zhan將jiang為wei工gong業ye製zhi造zao企qi業ye開kai辟pi全quan新xin的de發fa展zhan賽sai道dao,企qi業ye可ke借jie此ci契qi機ji引yin入ru前qian沿yan技ji術shu,在zai降jiang低di碳tan排pai放fang的de同tong時shi,提ti高gao製zhi造zao業ye的de生sheng產chan效xiao率lv、可擴展性和靈活性。
在zai如ru今jin既ji有you的de製zhi造zao工gong廠chang內nei,製zhi造zao設she備bei與yu自zi動dong化hua設she備bei曆li經jing多duo年nian反fan複fu部bu署shu與yu擴kuo展zhan,互hu操cao作zuo性xing問wen題ti日ri益yi凸tu顯xian。設she備bei間jian不bu僅jin難nan以yi順shun暢chang協xie同tong運yun作zuo,相xiang互hu間jian的de連lian接jie也ye極ji為wei有you限xian,導dao致zhi工gong廠chang內nei部bu普pu遍bian缺que乏fa能neng貫guan通tong所suo有you自zi動dong化hua設she備bei的de統tong一yi網wang絡luo。
隨著新產品庫存單位(SKU)shuliangchixupansheng,shengchanxiandeshezhiyuyanzhengshijianbudebuxiangyingzengjia。zaiyiliaoqixiezhizaolingyu,yanzhengliuchengbujinhaoshimanchang,chengbenyeshifengaoang。ciwai,chanpinSKU的增多還會拉低設備綜合效率(OEE),原(yuan)因(yin)在(zai)於(yu)額(e)外(wai)投(tou)入(ru)的(de)設(she)置(zhi)和(he)驗(yan)證(zheng)會(hui)造(zao)成(cheng)生(sheng)產(chan)時(shi)間(jian)的(de)浪(lang)費(fei),進(jin)而(er)導(dao)致(zhi)生(sheng)產(chan)效(xiao)率(lv)下(xia)滑(hua)。製(zhi)造(zao)業(ye)麵(mian)臨(lin)的(de)挑(tiao)戰(zhan)不(bu)止(zhi)於(yu)此(ci),熟(shu)練(lian)工(gong)人(ren)短(duan)缺(que)問(wen)題(ti)同(tong)樣(yang)嚴(yan)峻(jun)。據(ju)預(yu)測(ce),截(jie)至(zhi)2030年,製造業熟練工人缺口將高達約210萬人。1 當下,多數製造活動集中於既有工廠;在zai此ci背bei景jing下xia,企qi業ye試shi圖tu在zai現xian有you廠chang房fang空kong間jian內nei提ti升sheng產chan能neng時shi,勞lao動dong力li不bu足zu的de問wen題ti便bian成cheng為wei產chan能neng提ti升sheng的de關guan鍵jian製zhi約yue因yin素su。未wei來lai數shu字zi化hua工gong廠chang正zheng是shi為wei攻gong克ke上shang述shu重zhong重zhong挑tiao戰zhan而er生sheng,致zhi力li於yu推tui動dong製zhi造zao業ye邁mai入ru全quan新xin的de發fa展zhan紀ji元yuan(見圖1)。

圖1.工業製造麵臨的挑戰。
工業製造業的轉型
congjishujiaodulaikan,zhizaoyeyiqudezhongdajinbu。liru,tongguozaizhizaozichanheshebeishangzengjiachuanganqibushubingjinxingronghe,keshengchengfengfudeshujuji,yongyuyouhuajiqibingtigaoshebeizonghexiaolv(OEE)。軟件定義自動化的部署提升了製造業的生產效率、靈活性和可擴展性,大幅縮短了設置與驗證時間。此外,人工智能(AI)正zheng逐zhu步bu向xiang邊bian緣yuan側ce發fa展zhan,更geng加jia靠kao近jin傳chuan感gan器qi或huo執zhi行xing器qi等deng生sheng成cheng數shu據ju的de終zhong端duan。邊bian緣yuan人ren工gong智zhi能neng將jiang借jie助zhu數shu據ju驅qu動dong的de決jue策ce方fang式shi,把ba製zhi造zao數shu據ju轉zhuan化hua為wei切qie實shi可ke行xing的de見jian解jie,助zhu力li自zi主zhu製zhi造zao實shi現xian製zhi造zao業ye生sheng產chan效xiao率lv與yu競jing爭zheng力li的de躍yue升sheng(見圖2)。

圖2.製造業的轉型。
資源感知型製造
下一代製造業需要更全麵地審視資源消耗的各個方麵。製造業所需的四大關鍵資源分別是資金、電力、cailiaoherenli。zaiziyuanganzhixingzhizaodebeijingxia,weilaishuzihuagongchangjidaitishengduizhexieziyuandeliyongxiaolv。zaizijinxiaolvfangmian,suoyouzhizaolingyudezibenzhichudouyingzhuzhongshixiantouzihuibaolv(ROI),周期可能為一年、sannianhuowunianbudeng。weilaishuzihuagongchangdeguanjianmubiaozhiyi,bianshiyizuishaodezibenzhichushixianlirunzuidahua,jinerhuodezuigaodetouzihuibaolv。qicishidianlixiaolv,xiayidaizhizaoyebixuyigengdidenenghaoshixiangenggaodechanchu,dachengjianshaoquanqiutanpaifangdemubiao。jiangdidianlixiaohaodeguanjianjucuobaokuo:部署高效電機驅動器,將氣動驅動替換為機電驅動,運用自適應閉環控製技術提升製造效率,等等。
資(zi)源(yuan)感(gan)知(zhi)型(xing)製(zhi)造(zao)的(de)第(di)三(san)個(ge)方(fang)麵(mian)是(shi)材(cai)料(liao)效(xiao)率(lv)。在(zai)提(ti)升(sheng)製(zhi)造(zao)業(ye)可(ke)持(chi)續(xu)性(xing)方(fang)麵(mian),減(jian)少(shao)材(cai)料(liao)浪(lang)費(fei)與(yu)降(jiang)低(di)能(neng)源(yuan)消(xiao)耗(hao)同(tong)等(deng)重(zhong)要(yao),發(fa)揮(hui)著(zhe)不(bu)可(ke)或(huo)缺(que)的(de)作(zuo)用(yong)。通(tong)過(guo)最(zui)大(da)限(xian)度(du)地(di)減(jian)少(shao)原(yuan)材(cai)料(liao)的(de)使(shi)用(yong),再(zai)結(jie)合(he)加(jia)強(qiang)生(sheng)產(chan)質(zhi)量(liang)控(kong)製(zhi),能(neng)夠(gou)顯(xian)著(zhu)減(jian)少(shao)整(zheng)個(ge)製(zhi)造(zao)流(liu)程(cheng)中(zhong)的(de)材(cai)料(liao)浪(lang)費(fei),最(zui)終(zhong)朝(chao)著(zhe)零(ling)廢(fei)棄(qi)生(sheng)產(chan)的(de)目(mu)標(biao)邁(mai)進(jin)。最(zui)後(hou)一(yi)個(ge)方(fang)麵(mian)是(shi)人(ren)力(li)效(xiao)率(lv),亦(yi)是(shi)重(zhong)中(zhong)之(zhi)重(zhong)。當(dang)前(qian),製(zhi)造(zao)業(ye)在(zai)招(zhao)聘(pin)熟(shu)練(lian)工(gong)人(ren)方(fang)麵(mian)存(cun)在(zai)諸(zhu)多(duo)挑(tiao)戰(zhan)。製(zhi)造(zao)業(ye)必(bi)須(xu)盡(jin)可(ke)能(neng)地(di)減(jian)少(shao)人(ren)為(wei)介(jie)入(ru),可(ke)采(cai)取(qu)的(de)方(fang)式(shi)包(bao)括(kuo):推廣自主製造模式,應用先進機器人技術,部署具備實時感知能力、能快速響應操作環境與製造需求變化的自動化解決方案(見圖3)。

圖3.資源感知型製造。
未來數字化工廠
ADI公司對未來數字化工廠的願景,聚焦於連接、控製和解讀這三大核心支柱。連接戰略旨在通過提升製造業生產效率、可ke擴kuo展zhan性xing和he靈ling活huo性xing,同tong時shi降jiang低di碳tan排pai放fang,來lai達da成cheng未wei來lai工gong廠chang的de發fa展zhan藍lan圖tu。確que保bao所suo有you製zhi造zao資zi產chan和he機ji器qi連lian接jie到dao統tong一yi網wang絡luo,實shi現xian製zhi造zao數shu據ju的de透tou明ming訪fang問wen,並bing利li用yong這zhe些xie數shu據ju推tui動dong整zheng個ge製zhi造zao場chang所suo的de工gong藝yi持chi續xu改gai進jin。製zhi造zao環huan境jing須xu借jie助zhu有you線xian和he無wu線xian混hun合he網wang絡luo,實shi現xian從cong邊bian緣yuan到dao雲yun端duan的de實shi時shi無wu縫feng連lian接jie。對dui於yu有you線xian控kong製zhi連lian接jie,千qian兆zhao位wei工gong業ye以yi太tai網wang正zheng被bei部bu署shu用yong於yu工gong廠chang網wang絡luo以yi提ti供gong更geng高gao的de帶dai寬kuan,同tong時shi搭da配pei時shi間jian敏min感gan型xing網wang絡luo(TSN)來確保實時流量控製的確定性。對於諸如自主移動機器人(AMR)等移動應用,靈活的專用5G網絡起到補充作用,並且專用5G網絡還可連接難以輕鬆接入有線工業以太網的遠程傳感器和執行器。
第di二er項xiang關guan鍵jian戰zhan略lve聚ju焦jiao於yu控kong製zhi領ling域yu。分fen散san式shi自zi主zhu控kong製zhi依yi托tuo全quan新xin的de模mo塊kuai化hua自zi動dong化hua解jie決jue方fang案an,帶dai來lai更geng高gao的de靈ling活huo性xing,既ji能neng縮suo短duan設she置zhi和he驗yan證zheng時shi間jian,又you能neng支zhi持chi日ri益yi增zeng長chang的de新xin產chan品pin庫ku存cun單dan位wei(SKU)。從傳統生產線的集中式可編程邏輯控製器(PLC)轉向分散式PLC控(kong)製(zhi),先(xian)進(jin)的(de)邊(bian)緣(yuan)計(ji)算(suan)將(jiang)被(bei)直(zhi)接(jie)集(ji)成(cheng)到(dao)機(ji)器(qi)之(zhi)中(zhong)。基(ji)於(yu)邊(bian)緣(yuan)的(de)自(zi)主(zhu)控(kong)製(zhi)讓(rang)生(sheng)產(chan)線(xian)更(geng)具(ju)可(ke)重(zhong)構(gou)性(xing),顯(xian)著(zhu)提(ti)升(sheng)製(zhi)造(zao)靈(ling)活(huo)性(xing)。每(mei)一(yi)台(tai)機(ji)器(qi)都(dou)成(cheng)為(wei)一(yi)個(ge)完(wan)整(zheng)獨(du)立(li)的(de)模(mo)塊(kuai)化(hua)製(zhi)造(zao)單(dan)元(yuan),可(ke)在(zai)極(ji)少(shao)人(ren)為(wei)介(jie)入(ru)的(de)情(qing)況(kuang)下(xia),輕(qing)鬆(song)完(wan)成(cheng)配(pei)置(zhi)與(yu)重(zhong)新(xin)部(bu)署(shu)。通(tong)過(guo)部(bu)署(shu)更(geng)多(duo)靈(ling)活(huo)、模塊化的製造解決方案,並由分散式自主控製予以支持,我們能夠更好地實現未來數字化工廠的目標。
最zui後hou一yi項xiang戰zhan略lve聚ju焦jiao於yu解jie讀du。解jie讀du戰zhan略lve旨zhi在zai將jiang生sheng產chan數shu據ju轉zhuan化hua為wei可ke付fu諸zhu實shi踐jian的de洞dong察cha信xin息xi,從cong而er助zhu力li實shi現xian未wei來lai工gong廠chang的de各ge項xiang目mu標biao。據ju估gu算suan,製zhi造zao業ye每mei年nian產chan生sheng的de數shu據ju量liang約yue達da1812 PB(拍字節)。2 解(jie)讀(du)戰(zhan)略(lve)將(jiang)運(yun)用(yong)人(ren)工(gong)智(zhi)能(neng)技(ji)術(shu)來(lai)處(chu)理(li)這(zhe)些(xie)海(hai)量(liang)製(zhi)造(zao)數(shu)據(ju),以(yi)提(ti)升(sheng)生(sheng)產(chan)效(xiao)率(lv)。解(jie)讀(du)戰(zhan)略(lve)的(de)關(guan)鍵(jian)在(zai)於(yu)在(zai)數(shu)據(ju)產(chan)生(sheng)的(de)邊(bian)緣(yuan)側(ce)部(bu)署(shu)人(ren)工(gong)智(zhi)能(neng)。邊(bian)緣(yuan)人(ren)工(gong)智(zhi)能(neng)將(jiang)通(tong)過(guo)主(zhu)動(dong)決(jue)策(ce),結(jie)合(he)傳(chuan)感(gan)器(qi)融(rong)合(he)(包含工業視覺、溫度、壓力/力、測斜儀、位置、振動、濕度等測量方式),實shi現xian製zhi造zao業ye的de自zi主zhu優you化hua。邊bian緣yuan人ren工gong智zhi能neng將jiang通tong過guo自zi動dong執zhi行xing常chang規gui任ren務wu,減jian少shao對dui熟shu練lian勞lao動dong力li的de依yi賴lai,並bing以yi盡jin可ke能neng高gao的de良liang品pin率lv實shi現xian更geng具ju個ge性xing化hua和he複fu雜za性xing的de製zhi造zao。關guan鍵jian應ying用yong包bao括kuo引yin導dao驅qu動dong(移動機器人)、缺陷或異常檢測(機器健康狀況)、持續的工藝改進、模式識別(質量控製),最終還將融入自動化控製循環,成為其中重要一環。

圖4.實現未來數字化工廠的幾點關鍵要求。
結論
製造業正在經曆一場變革,朝著更智能、更互聯、以yi軟ruan件jian定ding義yi為wei主zhu的de方fang向xiang發fa展zhan。實shi時shi無wu縫feng的de邊bian緣yuan到dao雲yun端duan連lian接jie,將jiang實shi現xian對dui新xin型xing製zhi造zao數shu據ju集ji的de透tou明ming化hua訪fang問wen。分fen散san式shi控kong製zhi借jie助zhu邊bian緣yuan計ji算suan,將jiang控kong製zhi功gong能neng從cong可ke編bian程cheng邏luo輯ji控kong製zhi器qi(PLC)遷移至機器本身。傳感器融合技術的應用提升了機器的設備綜合效率(OEE),並(bing)產(chan)生(sheng)豐(feng)富(fu)的(de)數(shu)據(ju)集(ji),為(wei)人(ren)工(gong)智(zhi)能(neng)模(mo)型(xing)的(de)訓(xun)練(lian)與(yu)部(bu)署(shu)提(ti)供(gong)支(zhi)撐(cheng)。邊(bian)緣(yuan)人(ren)工(gong)智(zhi)能(neng)將(jiang)使(shi)自(zi)動(dong)化(hua)機(ji)器(qi)完(wan)全(quan)實(shi)現(xian)自(zi)主(zhu)化(hua)。這(zhe)些(xie)新(xin)技(ji)術(shu)的(de)融(rong)合(he)勢(shi)必(bi)將(jiang)徹(che)底(di)改(gai)變(bian)未(wei)來(lai)的(de)數(shu)字(zi)化(hua)工(gong)廠(chang),在(zai)顯(xian)著(zhu)降(jiang)低(di)能(neng)源(yuan)消(xiao)耗(hao)和(he)材(cai)料(liao)浪(lang)費(fei)的(de)同(tong)時(shi),提(ti)高(gao)製(zhi)造(zao)業(ye)的(de)生(sheng)產(chan)效(xiao)率(lv)、靈ling活huo性xing和he可ke擴kuo展zhan性xing。對dui於yu製zhi造zao商shang而er言yan,成cheng功gong的de關guan鍵jian在zai於yu如ru何he與yu生sheng態tai係xi統tong內nei的de其qi他ta公gong司si展zhan開kai合he作zuo,因yin為wei豐feng富fu多duo樣yang的de經jing驗yan和he能neng力li對dui於yu加jia速su實shi現xian未wei來lai數shu字zi化hua工gong廠chang的de願yuan景jing至zhi關guan重zhong要yao。如ru需xu進jin一yi步bu了le解jieADI針對未來數字化工廠的可持續自動化解決方案,請訪問
analog.com/industrialautomation。
參考文獻
1 Victor Reyes、Heather Ashton和Chad Moutray,“Creating Pathways for Tomorrow’s Workforce Today:Beyond Reskilling in Manufacturing”,Deloitte Insights,美國製造業研究所,2021年5月。
2 “Deloitte Survey on AI Adoption in Manufacturing”,Deloitte,2020年。