http://www.kadhoai.com.cn 2026-04-07 21:04:14 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。
zairujinjiyoudezhizaogongchangnei,zhizaoshebeiyuzidonghuashebeilijingduonianfanfubushuyukuozhan,hucaozuoxingwentiriyituxian。shebeijianbujinnanyishunchangxietongyunzuo,xianghujiandelianjieyejiweiyouxian,daozhigongchangneibupubianquefanengguantongsuoyouzidonghuashebeidetongyiwangluo。
隨著新產品庫存單位(SKU)數(shu)量(liang)持(chi)續(xu)攀(pan)升(sheng),生(sheng)產(chan)線(xian)的(de)設(she)置(zhi)與(yu)驗(yan)證(zheng)時(shi)間(jian)不(bu)得(de)不(bu)相(xiang)應(ying)增(zeng)加(jia)。在(zai)醫(yi)療(liao)器(qi)械(xie)製(zhi)造(zao)領(ling)域(yu),驗(yan)證(zheng)流(liu)程(cheng)不(bu)僅(jin)耗(hao)時(shi)漫(man)長(chang),成(cheng)本(ben)也(ye)十(shi)分(fen)高(gao)昂(ang)。此(ci)外(wai),產(chan)品(pin)SKU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zhi2030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;zaicibeijingxia,qiyeshituzaixianyouchangfangkongjianneitishengchannengshi,laodonglibuzudewentibianchengweichannengtishengdeguanjianzhiyueyinsu。weilaishuzihuagongchangzhengshiweigongkeshangshuzhongzhongtiaozhanersheng,zhiliyutuidongzhizaoyemairuquanxindefazhanjiyuan(見圖1)。

圖1.工業製造麵臨的挑戰。
工業製造業的轉型
從(cong)技(ji)術(shu)角(jiao)度(du)來(lai)看(kan),製(zhi)造(zao)業(ye)已(yi)取(qu)得(de)重(zhong)大(da)進(jin)步(bu)。例(li)如(ru),通(tong)過(guo)在(zai)製(zhi)造(zao)資(zi)產(chan)和(he)設(she)備(bei)上(shang)增(zeng)加(jia)傳(chuan)感(gan)器(qi)部(bu)署(shu)並(bing)進(jin)行(xing)融(rong)合(he),可(ke)生(sheng)成(cheng)豐(feng)富(fu)的(de)數(shu)據(ju)集(ji),用(yong)於(yu)優(you)化(hua)機(ji)器(qi)並(bing)提(ti)高(gao)設(she)備(bei)綜(zong)合(he)效(xiao)率(lv)(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、材cai料liao和he人ren力li。在zai資zi源yuan感gan知zhi型xing製zhi造zao的de背bei景jing下xia,未wei來lai數shu字zi化hua工gong廠chang亟ji待dai提ti升sheng對dui這zhe些xie資zi源yuan的de利li用yong效xiao率lv。在zai資zi金jin效xiao率lv方fang麵mian,所suo有you製zhi造zao領ling域yu的de資zi本ben支zhi出chu都dou應ying注zhu重zhong實shi現xian投tou資zi回hui報bao率lv(ROI),周期可能為一年、三(san)年(nian)或(huo)五(wu)年(nian)不(bu)等(deng)。未(wei)來(lai)數(shu)字(zi)化(hua)工(gong)廠(chang)的(de)關(guan)鍵(jian)目(mu)標(biao)之(zhi)一(yi),便(bian)是(shi)以(yi)最(zui)少(shao)的(de)資(zi)本(ben)支(zhi)出(chu)實(shi)現(xian)利(li)潤(run)最(zui)大(da)化(hua),進(jin)而(er)獲(huo)得(de)最(zui)高(gao)的(de)投(tou)資(zi)回(hui)報(bao)率(lv)。其(qi)次(ci)是(shi)電(dian)力(li)效(xiao)率(lv),下(xia)一(yi)代(dai)製(zhi)造(zao)業(ye)必(bi)須(xu)以(yi)更(geng)低(di)的(de)能(neng)耗(hao)實(shi)現(xian)更(geng)高(gao)的(de)產(chan)出(chu),達(da)成(cheng)減(jian)少(shao)全(quan)球(qiu)碳(tan)排(pai)放(fang)的(de)目(mu)標(biao)。降(jiang)低(di)電(dian)力(li)消(xiao)耗(hao)的(de)關(guan)鍵(jian)舉(ju)措(cuo)包(bao)括(kuo):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、kekuozhanxinghelinghuoxing,tongshijiangditanpaifang,laidachengweilaigongchangdefazhanlantu。quebaosuoyouzhizaozichanhejiqilianjiedaotongyiwangluo,shixianzhizaoshujudetoumingfangwen,bingliyongzhexieshujutuidongzhenggezhizaochangsuodegongyichixugaijin。zhizaohuanjingxujiezhuyouxianhewuxianhunhewangluo,shixiancongbianyuandaoyunduandeshishiwufenglianjie。duiyuyouxiankongzhilianjie,qianzhaoweigongyeyitaiwangzhengbeibushuyongyugongchangwangluoyitigonggenggaodedaikuan,tongshidapeishijianminganxingwangluo(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。
dierxiangguanjianzhanlvejujiaoyukongzhilingyu。fensanshizizhukongzhiyituoquanxindemokuaihuazidonghuajiejuefangan,dailaigenggaodelinghuoxing,jinengsuoduanshezhiheyanzhengshijian,younengzhichiriyizengchangdexinchanpinkucundanwei(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。
zuihouyixiangzhanlvejujiaoyujiedu。jieduzhanlvezhizaijiangshengchanshujuzhuanhuaweikefuzhushijiandedongchaxinxi,congerzhulishixianweilaigongchangdegexiangmubiao。jugusuan,zhizaoyemeinianchanshengdeshujuliangyueda1812 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。