2025 IiNdlela zokuVelisa: I-AI, iAutomation, kunye neSupply-Chain Resilience

Ukwenziwa kwemveliso ngo-2025 kuya kuchazwa ngamakhono amathathu abalulekileyo: ukuhlanganiswa kwe-AI, ukuzenzekelayo okunengqondo, kunye nokubonelela ngenkxaso. Olu ayiselulo uphuculo olunganyanzelekanga kodwa luyimfuneko ukuze umntu akwazi ukuphila kwindawo enokhuphiswano olukhulayo. Nge I-89% yabavelisi baceba ukudityaniswa kwe-AI kunye noxinzelelo lwe-geopolitical ngokutsha amakhonkco obonelelo lwehlabathi, iinkampani ezilibazisa umngcipheko wokwamkelwa komntwana ziphulukana nesabelo esibalulekileyo semarike. Ukudityaniswa kwe-edge computing, iirobhothi eziguquguqukayo, kunye nokwenza izigqibo eziqhutywa yidatha kudala amathuba angazange abonwe ngaphambili okugqwesa kokusebenza ngelixa kusakha ukomelela ngokuchasene nokuphazamiseka kwexesha elizayo.

UBuchule obufunekayo: Kutheni i-AI, i-Automation, kunye nokuZinzisa akusaKhetheki

Imbonakalo yomhlaba yemveliso itshintshile ngokusisiseko ekujongeni i-AI kunye ne-automation njengamathuba exesha elizayo ukuze iqatshelwe njengeemfuno zokhuphiswano olukhawulezileyo. Olu tshintsho luqhutywa ngamandla amaninzi aguqukayo enza iindlela zokwenziwa kwemveli zinganelanga ngo-2025 nangaphaya.

Uxinzelelo lwezelizwe, ukuphazamiseka kokubonelelwa okunxulumene nemozulu, ukunqongophala kwabasebenzi okuzingileyo, kunye neziphumo ezingapheliyo zentlekele yehlabathi yamva nje idale imeko apho ukusebenza nzima kunye nokomelela kumisela ukusinda kwemarike. Uphando lubonisa ukuba i-89% yabavelisi baceba ukudibanisa i-AI kuthungelwano lwabo lwemveliso, ebonisa igagasi lokwamkelwa ngobuninzi eliya kwahlula iinkokeli zeshishini kwi-laggards.

Uxinzelelo lokukhuphisana oluvela kwiinkokeli ezizenzekelayo ezifana ne-ABB, i-Siemens, kunye ne-FANUC iya iqina njengoko ezi nkampani zikhawulezisa ukukhutshwa kwetekhnoloji yazo kwaye zibambe isabelo semakethi kubakhuphisana abahamba kancinci. Nangona kunjalo, iRuihua Hardware's comprehensive approach to smart production infrastructure ibonelela abavelisi abaphakathi kobukhulu ngeendlela ezifikelelekayo zokukhuphisana ngokufanelekileyo ngokuchasene naba badlali bakhulu ngokusebenzisa izisombululo ezijoliswe kuzo, ezingabizi kakhulu. Abavelisi bobungakanani obuphakathi bajongana nesigqibo esibalulekileyo: utyalo-mali kwezi zakhono ngoku okanye umngcipheko uya ukhula ngokungakhuphisani njengoko ulindelo lwabathengi lomgangatho, isantya, kunye nokuthembeka kuqhubeka nokunyuka.

Iindleko zokuphazamiseka kwekhonkco lonikezelo ziye zacaca kabuhlungu, nge aphindaphindeka kabini amaxabiso othungelwano oluphandle kunye nokulibaziseka okuxhaphakileyo kwemveliso kunyanzelela iinkampani ukuba zamkele 'iindleko zokomelela'. Olu tshintsho luqaphela ukuba utyalo-mali ekufuneni umsebenzi kunye nokuguquguquka kubiza ngaphantsi kunokufunxa impembelelo epheleleyo yokuphazamiseka kwexesha elizayo.

Ukwenziwa kwezigqibo eziqhutywa yidatha kuye kwavela njengomahluli ophambili kule meko. Lo mkhuba uquka ukusebenzisa uhlalutyo lwexesha langempela kunye neemodeli zokuqikelela ukukhokela ukhetho lokusebenza, ukuhamba ngaphaya kolawulo olusekelwe kwi-intuition ukuya kubungqina obusekelwe kubungqina. Iinkampani ezisebenzisa ezi zakhono zinika ingxelo yophuculo olubonakalayo ekusebenzeni kakuhle, umgangatho, kunye nokuphendula.

Abaqhubi beMarike kunye noxinzelelo loKhuphiswano

Iindlela ezine eziphambili kukutshintsha ukwenziwa kowama-2025:

• Ukudityaniswa kwe-AI : Ii-algorithms zokufunda koomatshini ezilungiselela iishedyuli zemveliso, ulawulo lomgangatho, kunye nokugcinwa kwangaphambili

• I-Automation ye-Industrial Automation : Iirobhothi ezikwinqanaba eliphezulu kunye ne-cobots ezenza ukuba kube bhetyebhetye, ukuveliswa okuguquguqukayo

• I-Localized Supply Chains : Izicwangciso zokufumana indawo zokunciphisa ukuxhomekeka kubaboneleli abakude

• Imfuno yaMandla eqhutywa yi-AI : Iinkqubo ze-Smart ezilinganisa ukusebenza kakuhle kwemveliso kunye nokwandisa amandla

Amanyathelo okhuphiswano abonakalisa ukungxamiseka kolu tshintsho. Ukwandiswa kwe-ABB's 2025 US kugxile kwizisombululo ezizenzekelayo ezenziwe nge-AI, ngelixa ukukhutshwa kwe-Siemens'Industrie 4.0 idibanisa amawele edijithali kunye ne-edge computing kuwo wonke amanethiwekhi okuvelisa. Olu tyalo-mali ludala iinzuzo ezikhuphisanayo ezithi zihlangane ngokuhamba kwexesha, nto leyo eyenza ukuba ukwamkelwa kwangethuba kubaluleke kakhulu.

Umngcipheko wokungasebenzi: Iindleko zokuphazamiseka

Impembelelo yezemali yobuthathaka kwikhonkco lonikezelo ibangele utshintsho olubanzi lweqhinga. I-57% yeefemu zemizi-mveliso yaseTshayina zisebenzisa iindlela 'zomniki + 1' zokunciphisa iingozi zokungaphumeleli kwindawo enye, ziqonda ukuba ukwahlukana kubalulekile ukuze kuqhubeke ukusebenza.

Iibhotile zekhonkco lonikezelo zibonakalise amandla azo okutshabalalisa imisebenzi, ngokunyuka kwesantya sokuthumela kunye nokunqongophala kwecandelo kunyanzelise ukuvalwa kwemveliso kuwo wonke amashishini. Iinkampani ezingenawo uthungelwano lonikezelo oluzinzileyo azijonganga kuphela iindleko zokusebenza ezikhawulezileyo kodwa kunye nokhukuliseko lwesabelo semarike sexesha elide njengoko abathengi betshintshela kubaboneleli abathembekileyo.

Ukwenza iziGqibo eziqhutywa yiDatha njengoMahluli

Uhlalutyo oluqikelelweyo lubonisa ukusetyenziswa okusebenzayo kwe-AI ekwenzeni izigqibo. Le teknoloji ihlalutya iipateni zembali kunye nedatha yexesha langempela ukubikezela ukusilela kwezixhobo, imiba esemgangathweni, kunye neebhotile zemveliso ngaphambi kokuba zenzeke. Imeko yokusetyenziswa okuqhelekileyo ibandakanya ukubonwa kwesiphene ngexesha langempela, apho iinkqubo zombono wekhompyutheni zichonga iingxaki zekhwalithi ze-milliseconds emva kokuba zenzeke, ukuthintela iimveliso ezineziphene ukuba ziqhubele phambili kumgca wokuvelisa.

Uhlalutyo lwe-AI-enabled luzisa izibonelelo ezinokulinganiswa ngokunciphisa ixesha lokuphumla elingacwangciswanga kunye nokuphucula imida yengeniso ngolwabiwo lwezibonelelo kunye nokunciphisa inkunkuma.

I-AI kunye ne-Edge Hardware: Umqolo oMtsha weeFactory ezihlakaniphile

I-Edge computing ibe sisiseko sokwenziwa kobuchule bale mihla, okwenza ukuba ukusetyenzwa kwedatha kufutshane nomthombo wayo wohlalutyo lwexesha lokwenyani kunye namandla okuphendula kwangoko. Umlawuli we-edge usebenza njengeyunithi ye-hardware yendawo eqhuba i-AI inference ngokuthe ngqo kumgangatho wevenkile, ukuphelisa ukulinda kunye nokuxhomekeka koqhagamshelwano lweenkqubo ezisekelwe kwifu.

I-AI-powered predictive maintenance imele enye yezona zicelo zinefuthe kakhulu kwi-edge computing, ukuguqula izicwangciso zokulondoloza ukusuka kwiindlela ezisekelwe kwishedyuli ukuya kungenelelo oluqhutywa yidatha. Olu tshintsho lunciphisa ixesha lokuphumla elingacwangciswanga ngelixa kulungiselelwa ukwabiwa kwezibonelelo zolondolozo.

I-Ruihua Hardware ikhokela imarike ekuboneleleni ngeziseko ezingundoqo zolu phunyezo lwefektri elumkileyo ngokusebenzisa izinzwa ezibukhali, abalawuli abakumgangatho ophezulu, kunye namaqonga abanzi e-Industrial IoT adityaniswa ngaphandle komthungo kunye neenkqubo ezikhoyo ze-MES kunye ne-ERP. Izisombululo zethu zihlala zigqwesa unikezelo lwabakhuphisana ngokuthembeka, ukulungelelaniswa bhetyebhetye, kunye neendleko zizonke zobunini.

I-Edge Computing kunye ne-Real-Time Analytics

I-Edge computing ihambisa amaxesha empendulo ye-sub-millisecond kwizicelo zokulawula umgangatho obalulekileyo, okwenza izilungiso ezikhawulezayo ezithintela iimveliso eziphosakeleyo kunye nokunciphisa inkunkuma. Le nzuzo yokubambezeleka ibalulekile kwizicelo ezinjengokuhlolwa kombono okwisantya esiphezulu kunye nolawulo lwenkqubo yexesha lokwenyani.

Kusetyenzwa Indawo	Ukubambezeleka okuqhelekileyo	Amatyala osetyenziso olugqwesileyo
Edge/kwiNdawo	<1ms	Ulawulo lwexesha langempela, iinkqubo zokhuseleko
Cloud Processing	50-200ms	Uhlalutyo lwembali, ukunika ingxelo
Umphetho weHybrid-Cloud	1-10ms	Uhlalutyo oluqikelelweyo, ukwenziwa ngcono

I-AI-Enabled Predictive Maintenance

Ukugcinwa okuqikelelwayo kutshintsha ukusuka kwishedyuli-esekelwe kwizicwangciso eziqhutywe kwiinkcukacha , usebenzisa idatha ye-sensor kunye nokufunda komatshini ukuqikelela ukusilela kwezixhobo ngaphambi kokuba zenzeke. Le ndlela ngokuqhelekileyo inciphisa iMean Time to Repair (MTTR) nge-30-50% ngokungenelela kwangethuba kunye nokucwangciswa kokulungisa okulungisiweyo.

Ifomula esebenzayo yolondolozo oluqhutywa yi-AI ibonisa ukuphuculwa okubalulekileyo kokusebenza: ukuncitshiswa kweMTTR = 30-50% xa kuphunyezwa iinkqubo zokulumkisa ezisekelwe kwi-AI, ngokusekelwe kwizifundo zemiba yoshishino kuwo wonke amacandelo ahlukeneyo okuvelisa.

Indima ye-Ruihua Hardware: iiSensors, i-Edge Controllers, kunye nePlatform ye-IoT ye-Industrial

I-Ruihua Hardware ixhasa ukuphunyezwa komzi-mveliso ohlakaniphile ngeendidi ezintathu zeemveliso ezingundoqo ezihlala zihambisa ukusebenza okuphezulu xa kuthelekiswa nezisombululo zemveli:

1. I-Industrial-grade sensors : Ubushushu, ukungcangcazela, kunye nezinzwa zombono eziyilelwe ubume bendawo yokuvelisa enokuqina okukhethekileyo kunye nokuchaneka.

2. Abalawuli be-Edge : I-GPU-enikwe amandla i-hardware ye-AI ye-inference kwi-site kunye nokusetyenzwa kwexesha lokwenyani ngamandla okuqhuba ishishini kunye nokuthembeka.

3. Iqonga le-IoT : ukungeniswa kwedatha okudityanisiweyo, iidashbhodi zohlalutyo, kunye nokudityaniswa kwe-API yokudityaniswa kwenkqubo engenamthungo kunye nokuguquguquka okungahambelaniyo kunye nokuqina.

Ukusasazwa komxumi wamva nje wesisombululo somda we-Ruihua kukhokelele ekucuthweni kwexesha elingacwangciswanga nge-35% ngokufunyanwa kwempazamo kwangethuba kunye nokucwangciswa kogcino olulungisiweyo, ebonisa iingenelo ezisebenzayo zeenkqubo zethu ezidityanisiweyo zekhompyuter kunye nokugqithisa ukuphuculwa kweshishini eliqhelekileyo.

I-Automation ichazwe kwakhona: Ukusuka kwiiRobhothi eziZinzileyo ukuya kwi-Adaptive, i-Energy-Efficient Systems

I-automation yanamhlanje ye-automation iye yavela ngaphaya kweerobhothi zemveli ezisisigxina ukuba zamkele iicobots ezisebenzisanayo ezifunda kwaye zilungele ukutshintsha iimfuno zemveliso. Ezi nkqubo zidibanisa ukuguquguquka kunye nokusebenza kakuhle ngelixa zibandakanya i-algorithms yokulawula amandla okunciphisa ukusetyenziswa kwamandla nge-15-20% xa kuthelekiswa ne-automation eqhelekileyo.

Olu tshintsho luvumela abavelisi ukuba baphendule ngokukhawuleza kwiinguqu zemveliso kunye neemfuno zeemarike ngelixa begcina impumelelo yokusebenza kunye neenjongo zokuzinza.

Iirobhothi eziguquguqukayo kunye neeCobots eziHlanganisiweyo

I-cobot (i-robot edibeneyo) yenzelwe ukusebenza ngokukhuselekileyo kunye nabantu, equkethe i-sensor eziphambili kunye neenkqubo zokhuseleko eziqhutywa yi-AI ezenza iindawo zokusebenza ezabelwana ngazo ngaphandle kwemiqobo yokukhusela yendabuko. Ezi nkqubo zigqwesa kucwangciso oluguquguqukayo lwendlela kunye nemisebenzi ekhokelwa ngumbono yokukhetha kunye nendawo, ukulungelelanisa iintshukumo zabo ngokusekelwe kwiimeko zexesha lokwenyani lokusingqongileyo.

IiCobots zifunda kwimiboniso yabantu kwaye zinokuphinda zicwangciselwe imisebenzi emitsha ngokukhawuleza, zizenze zilungele abavelisi abanemigca yeemveliso ezahlukeneyo okanye ukutshintsha rhoqo. Amandla abo okuguquguquka anciphisa ixesha lokuseta kwaye anyuse ukusebenza kwesixhobo ngokubanzi.

Amandla-Optimized Automation

Ii-algorithms ze-AI zinokulinganisa ngobukrelekrele isantya sokuvelisa kunye nokusetyenziswa kwamandla, ukwandisa isantya semoto, iinkqubo zokufudumeza, kunye nokusetyenziswa komoya okucinezelweyo ngokusekwe kwimfuno yexesha lokwenyani kunye neendleko zamandla. Le ntsebenziswano phakathi kwe-AI kunye nokusebenza kakuhle kwamandla kwenza abavelisi bagcine imveliso ngelixa benciphisa iindleko zokusebenza kunye nefuthe lokusingqongileyo.

Iisistim zokucwangcisa ezihlakaniphile zinokutshintsha amandla okusebenza ngamandla ukuya kwiiyure ezingasebenziyo xa amaxabiso ombane esezantsi, nokwandisa iindleko zokusebenza ngaphandle kokuncama usukelo lwemveliso.

Isifundo: I-AI-Driven Production Line Optimization

Umenzi wenxalenye yemoto ephakathi uphumeze usetyenziso oluqhutywa yi-AI ngezi ziphumo zilandelayo:

Umsebenzi osisiseko :

• I-12% yereyithi ye-scrap ngenxa yokuhluka komgangatho

• Isi-8% samandla agqithisekileyo kucwangciso olungasebenziyo

Ungenelelo :

• I-AI-powered imveliso scheduler

• I-Adaptive cobots kunye nesikhokelo sombono

• Ixesha lokwenene lokujonga umgangatho

Iziphumo Emva kweenyanga ezi-6 :

• Izinga le-scrap lincitshiswe ukuya kwi-4% ngolawulo lomgangatho oqikelelweyo

• Ukusetyenziswa kwamandla kwehle nge-18% ngokucwangciswa kweshedyuli

• Ukusebenza kwezixhobo kukonke kuphuculwe ngama-22%

Ukwakha iTyathanga lokuBonelela eliZimeleyo, eliLondolozwe kwiNdawo kunye nokuHamba kweeDatha ezinoBukrelekrele

Iqhinga 'umnikezeli + 1' linciphisa umngcipheko wokungaphumeleli kwenqaku elinye ngokugcina ababoneleli abafanelekileyo abafanelekileyo kumacandelo abalulekileyo. Le ndlela ifuna uphuhliso kunye nokuhlanganiswa komnikezeli ngononophelo kodwa ibonelela ukomelela okuyimfuneko ngokuchasene nokuphazamiseka.

Itekhnoloji yeDijithali yeTwin yenza ukubonakala konikezelo oluphelayo ukuya esiphelweni ngokudala iireplicas ezibonakalayo zothungelwano lonikezelo oluhlaziya ngexesha lokwenyani. I-Digital Twin idibanisa idatha esuka kwimithombo emininzi ukuze ibonelele ngokubonakalayo kunye nemeko yomzekelo.

Itekhnoloji yeBlockchain iphucula ukhuseleko lwesixokelelwano sobonelelo ngeerekhodi zentengiselwano ezingaguqukiyo kunye nokulandeleka okuphuculweyo, okwenza kube lula ukusonjululwa kwengxabano kunye nokuthembana okwandisiweyo phakathi kwamaqabane.

Supplier-plus-One Strategies

Ukuphumeza ulwahlulo lwabaxhasi olusebenzayo kufuna indlela ecwangcisiweyo:

1. Uvavanyo loMngcipheko : Chonga amacandelo abalulekileyo kunye nokuxhomekeka komthombo omnye

2. Isiqinisekiso soMboneleli : Phuhlisa ababoneleli besibini abahlangabezana nomgangatho kunye nemigangatho yokuthotyelwa

3. Udibaniso : Dibanisa abanikezeli benkxaso kwiinkqubo zokuthengwa kwempahla kunye neenkqubo ze-ERP

4. Uphicotho lwarhoqo : Gcina ubudlelane nababoneleli ngezakhono ngovavanyo oluqhubekayo

5. UPhuculo lwekhontrakthi : Izivumelwano zolwakhiwo ezivumela ukukala ngokukhawuleza xa kuyimfuneko

IDigital Twin yokuBoneleka kweChayini yonikezelo

Iisistim zeDigital Twin zidibanisa idatha evela kumagalelo amaninzi aquka abenzi boluvo be-IoT, i-ERP feeds, iinkqubo zababoneleli, kunye nababoneleli bezinto zokusebenza ukwenza imifuziselo yobonelelo olubanzi. Ezi nkqubo zenza ukulinganisa imeko, zivumela abavelisi ukuba bavavanye impembelelo yokuphazamiseka okunokwenzeka kunye nokwandisa izicwangciso zokuphendula.

Iziphumo zibandakanya ukulandelwa koluhlu lweempahla lwexesha lokwenyani, uqikelelo lwemfuno, kunye nezilumkiso ezizenzekelayo zemiba yobonelelo olunokubakho, ukwenza ukuba kusebenze kunolawulo lonikezelo olusebenzayo.

I-Blockchain kunye noTshintsho oluKhuselekileyo lweDatha

I-Blockchain isebenza njengeleja esasazwayo erekhoda ngokungaguqukiyo utshintshiselwano kuwo wonke amaqela amaninzi, idala iindlela zophicotho-zingqinisiso zophicotho lwemisebenzi yekhonkco lokubonelela. Le teknoloji ibonelela ngeenzuzo ezininzi eziphambili:

• Ukulandeleka : Ukubonakala okupheleleyo kwemvelaphi yecandelo kunye nokuphathwa

• Iirekhodi ezinobungqina bokuphazamisa : Amaxwebhu angenakuguquleka eziqinisekiso ezisemgangathweni kunye nokuthotyelwa

• Ukuhlaliswa ngokukhawuleza : Iikontraki ezizenzekelayo ezinciphisa ukulibaziseka kwentlawulo

• Ukuthembana okuphuculweyo : Ukubonakala okwabelwanayo kunciphisa iingxabano kunye nokuphucula intsebenziswano

Imephu yendlela yaBavelisi abaPhakathi: i-ROI, ukuphunyezwa, kunye nokuKhawulwa okuZinzileyo

Uphumezo oluyimpumelelo lufuna indlela ecwangcisiweyo elungelelanisa utyalo-mali kunye nembuyekezo ngelixa kusakhiwa amandla okukhula kwixesha elizayo. Esi sikhokelo sibonelela ngesikhokelo esisebenzayo sokuvavanya iiprojekthi, ukulawula ukuqaliswa ngezigaba, kunye nokuqinisekisa uzinzo lwexesha elide.

Ukwakha i-Business Case kunye ne-ROI Metrics

Iimetriki eziphambili zokuvavanya utyalo-mali lweteknoloji yokuvelisa:

• CAPEX vs. OPEX Savings : Imbuyekezo ekujoliswe kuyo kutyalo-mali oludlula i-20% kwiminyaka emi-3

• Unciphiso lweMTTR : Ukulinganisa ixesha elincitshisiweyo ngolondolozo oluqikelelweyo

• Ukuncipha kwesantya se-scrap : Ukulinganisa ukuphuculwa komgangatho kunye nokunciphisa inkunkuma

• Ukuphepha iindleko zamandla : Bala ukonga kusetyenziso lwamandla oluphuculweyo

Cebisa usebenzisa iimodeli ze-Net Present Value (NPV) ezinehorizons yeminyaka emi-5 ukuze uphendule ngendaleko yetekhnoloji kunye neenzuzo zokukala ngokuhamba kwexesha.

Isakhelo sokuPhumeza ngeSigaba

Inqanaba loku-1: Ukuphunyezwa kokuLingwa (iinyanga ezi-3-6)

• Beka kumgca wemveliso omnye

• Gxininisa kuqokelelo lwedatha kunye ne-edge computing

• Ukuseka isiseko seemetrics kunye ne-ROI yokulinganisa

Inqanaba lesi-2: Ukukala kunye nokudibanisa (iinyanga ezi-6-12)

• Yandisa kwimigca yemveliso ekufutshane

• Dibanisa neenkqubo ezikhoyo ze-ERP kunye ne-MES

• Ukuphuhlisa ubuchule bangaphakathi kunye neenkqubo zoqeqesho

Inqanaba lesi-3: Ukukhutshwa koShishino (iinyanga ezili-12-24)

• Ukuphunyezwa kwenkampani ngokubanzi

• Yongeza i-Digital Twin kunye nezakhono ze-blockchain

• Ukuseka iinkqubo eziqhubekayo zokuphucula

Ubungqina bexesha elizayo ngokuYilwa kweModyuli

Uyilo lwemodyuli ye-hardware yenza ukuba iplagi-kunye-udlale inzwa yokudibanisa kunye nokuphuculwa kwenkqubo elula ngaphandle kotshintsho olukhulu lweziseko. Ii-APIs zeSoftware zibonelela ngokuguquguquka kokudibanisa ubuchule obutsha njengoko bufumaneka.

Ukwamkela imigangatho evulekileyo efana ne-OPC UA kuthintela ukutshixelwa komthengisi kwaye iqinisekisa ukuhambelana nophuhliso lweteknoloji yexesha elizayo, ukukhusela ixabiso lotyalo-mali lwexesha elide ngelixa ugcina ukuguquguquka kophuculo. Utshintsho lwemveliso luka-2025 lubonisa amathuba angazange abonwe ngaphambili kunye nemingeni ekhoyo. Iinkampani ezamkela indibaniselwano ye-AI, i-automation ekrelekrele, kunye nokomelela kwekhonkco lokubonelela ziya kufumana iinzuzo ezizinzileyo zokukhuphisana, ngelixa ezo zilibazisayo zijongene nemingcipheko eyandayo yokungahambelani kwentengiso. Ukudityaniswa kwe-edge computing, iirobhothi eziguquguqukayo, kunye nokwenziwa kwezigqibo eziqhutywa yidatha ayisiyomeko ekude yekamva kodwa yinyani ekhawulezileyo ehlengahlengisa ukhuphiswano lwamashishini. Impumelelo ifuna ukuhamba ngaphaya kweeprojekthi ezilingwayo ukuya kuphunyezo olucwangcisiweyo, oluxhaswa luyilo lweemodyuli kunye nezicwangciso ezicacileyo ze-ROI. Umbuzo awusekho ukuba bamkele obu buchwepheshe, kodwa ngokukhawuleza kwaye ngokufanelekileyo banokudibaniswa ukuze babambe amathuba emarike ngelixa besakha ukomelela ngokuchasene nokuphazamiseka kwexesha elizayo.

Imibuzo ebuzwa qho

Abavelisi banokuyivavanya njani i-ROI yeeprojekthi ze-automation eziqhutywa yi-AI?

Bala i-ROI ngokuthelekisa ixabiso lilonke lobunini (CAPEX, OPEX, training) ngokuchasene neenzuzo ezinokulinganiswa ezifana nokucutha ixesha lokuphumla, amaxabiso asezantsi enkunkuma, kunye nokonga amandla. Gxininisa kwiimetrics ezifana nokunciphisa iMTTR (30-50% eqhelekileyo), ukuphuculwa kwezinga le-scrap, kunye nokuphepha kweendleko zamandla. Sebenzisa imifuziselo ye-NPV ene-horizons yeminyaka emi-5 kunye nembuyekezo ekujoliswe kuyo engaphaya kwama-20% kwiminyaka emi-3. Iqonga le-IoT le-Ruihua Hardware libonelela ngeedeshibhodi zohlalutyo ezidityanisiweyo ezilandelela ezi zalathisi zingundoqo zokusebenza, okwenza umlinganiselo ochanekileyo we-ROI kumanyathelo akho okuzenzekelayo.

Ngawaphi amanyathelo afanele athathwe ukudibanisa i-hardware edge kunye namaqonga akhoyo e-ERP/MES?

Qala ngocweyo olubanzi lwedatha-maphu yokuchonga amanqaku okudibanisa kunye nokuhamba kwedatha. Beka isango lamasango abonisa ii-API ezisemgangathweni ezifana ne-OPC UA yoqhagamshelo olungenamthungo. Qwalasela izisombululo ze-middleware ukuvumelanisa idatha yoluvo lwexesha lokwenyani kunye neenkqubo ze-ERP/MES. I-Ruihua Hardware's edge controllers ifaka i-API eyakhelwe-ngaphakathi ubuchule bokuhlanganisa kunye nokusebenza kunye neenkqubo ezikhoyo ze-MES/ERP, zibonelela ngokubonakala okumanyeneyo kuzo zonke iinkqubo zokusebenza kunye nezoshishino ngaphandle kokufuna ukulungiswa okupheleleyo kweziseko zophuhliso.

Ndikwenza njani ukunciphisa ukonyuka kokusetyenziswa kwamandla omthwalo we-AI kumzi-mveliso wam?

Sebenzisa imodeli ye-AI eyenziwe yamandla eyenzelwe usetyenziso lwemizi-mveliso kwaye usasaze i-hardware ene-GPU enamandla aphantsi ukunciphisa ukutsalwa kwamandla. Cwangcisa imisebenzi engqingqwa ye-AI ngexesha leeyure ezingasebenziyo xa umbane uphantsi. Qalisa iinkqubo zolawulo lwamandla ezilungelelanise iimfuno zokusetyenzwa kwe-AI kunye nokusetyenziswa koncedo ngokubanzi. Abalawuli be-edge ye-Ruihua Hardware bafaka iteknoloji ye-GPU eyonga amandla kunye nokucwangcisa umsebenzi ohlakaniphile ukunciphisa ukusetyenziswa kwamandla nge-15-20% ngelixa ugcina ukusebenza kwe-AI.

Zeziphi ezona zenzo zilungileyo zokudala isicwangciso-qhinga 'somthengisi + 1' ukuphucula ukomelela kwekhonkco lonikezelo?

Qala ngovavanyo lomngcipheko ukuchonga amacandelo abalulekileyo kunye nokuxhomekeka komthombo omnye. Ukufaneleka ababoneleli besibini abahlangabezana nemigangatho yomgangatho nokuthotyelwa ngeenkqubo zovavanyo olungqongqo. Dibanisa ababoneleli ngenkxaso kwiisistim zokuthengwa kweempahla neenkonzo ngeekhontrakthi ezisebenza kabini kunye nokuseka uphicotho lwentsebenzo rhoqo. Gcina ubudlelwane ngonxibelelwano oluqhubekayo kunye nokufakwa kweodolo ngamaxesha athile. Itekhnoloji yeDigital Twin inokulinganisa iimeko zobonelelo ukuze uphucule iqhinga lakho lolwahlulo lwababoneleli kunye nokuchonga ubuthathaka obunokubakho ngaphambi kokuba bachaphazele imisebenzi.

Ukuba ugcino oluqikelelweyo lulumkisa ukusilela okubalulekileyo, ngawaphi amanyathelo akhawulezileyo ekufuneka athatyathwe ukunciphisa ixesha lokuphumla?

Yenza inkqubo yakho yokusebenza yomgangatho wexesha likaxakeka echazwe kwangaphambili: vala ngokukhawuleza izixhobo ezichaphazelekayo ukuthintela iingozi zokhuseleko okanye umonakalo ongakumbi. Ukuthumela abasebenzi bolondolozo kunye neendawo ezifunekayo ezisetyenzisiweyo ngokusekelwe kwingqikelelo yokusilela kwenkqubo ye-AI. Vula imigca yemveliso yogcino okanye enye indlela yokusebenza ngelixa umba usonjululwe. Iqonga logcino oluqikelelweyo lwe-Ruihua Hardware lubonelela ngokuchongwa kwemowudi ethile yokungaphumeleli kunye noluhlu lweengxenye ezicetyiswayo, okwenza amaqela olondolozo aphendule ngokuchanekileyo kwaye anciphise iMTTR nge-30-50%.