I-Yuyao Ruihua Hardware Factory
I-imeyili:
Ukubukwa: 7 Umbhali: Isihleli Sesihleli Sokushicilela: 2025-09-11 Imvelaphi: Isizango
Ukukhiqiza ngo-2025 kuzochazwa amakhono amathathu abucayi: ukuhlanganiswa kwe-AI, okuzenzakalelayo okuzenzakalelayo, ukuqina kokuthengwa kwe-chain. Lokhu akusekho ukuthuthuka okukhethwa ngokuzikhethela kepha izidingo ezibalulekile zokusinda endaweni eqhubekayo yokuncintisana. Ne- Ama-89% abakhiqizi abahlela ukuhlanganiswa kwe-AI ukuhlanganiswa kanye nezingxabano ze-geopolitical kabusha kabusha amaketanga wokuhlinzekwa komhlaba wonke, izinkampani ezibambezela ubungozi bokutholwa kwemali elahlekelwe yisabelo semakethe esibalulekile. Ukuhlangana kwe-computer emaphethelweni, ama-robotic aguqukayo, nokwenza izinqumo eziqhutshwa yidatha kudala amathuba angakaze abonwe ngokusebenza kahle kwezenhlalo ngenkathi wakhe ukubekezela ngokuphazamiseka okuzayo.
Izwe lokukhiqiza lisuswe ngokuyisisekelo ekubukeni i-AI ne-automation njengamathuba esizayo ukuze bazibone njengezidingo zokuncintisana ngokushesha. Le shintsho iqhutshwa amandla amaningi okuguqulwa akwenzayo ekwenzela ukukhiqiza kwendabuko kusongelwe ngo-2025 nangale kwalokho.
Izingxabano ze-Geopolitical, ukuphazamiseka okuhlobene nesimo sezulu, ukusweleka okuphikelelayo kwezabasebenzi, kanye nemiphumela eguqukayo yezingxabano zomhlaba wonke ezisanda kwenza izinkinga zokusebenza okusebenzayo nokuqina kokuthola ukusinda kwemakethe nokuqina kokuthola okusinda kwemakethe. Ucwaningo lukhombisa ama-89% abakhiqizi abahlela ukuhlanganisa i-AI kumanethiwekhi abo okukhiqiza, ukusayina igagasi lokutholwa ngobuningi elizohlukanisa abaholi bezimboni abavela eLaggards.
Ingcindezi yokuncintisana evela kubaholi be-automation njenge-ABB, i-Nokia, futhi i-fanuc iyaqina njengoba lezi zinkampani zisheshisa ukukhishwa kwazo ubuchwepheshe futhi zithwebula isabelo semakethe kusuka kubancintisana abahamba kancane. Kodwa-ke, indlela ephelele ye-Ruihua Hardware yengqalasizinda yokukhiqiza i-Smart inikeza abakhiqizi abaphakathi kwemigwaqo efinyelelekayo yokuncintisana ngempumelelo nalaba badlali abakhulu ngezixazululo ezihlosiwe, ezingenazindleko. Abakhiqizi baphakathi maphakathi babhekana nephuzu lokuthatha isinqumo esibucayi: tshala imali kula makhono manje noma ubungozi buya ngokuya bungasebenzi njengokulindelwe kwamakhasimende ngekhwalithi, ijubane, kanye nokwethenjwa kuqhubeke ukukhuphuka.
Izindleko zokuphazamiseka kokuthengwa kwezidingo sezicacile ngobuhlungu, Amanani aphindwe kabili ahamba nge-transpacific kanye nokubambezeleka kokuphoqelela kwezinkampani eziphoqayo ukwamukela izindleko 'zokuqina ' ingqondo. Le shift ibona ukuthi ukutshala imali ekuvuseleleni kabusha nasekuvumelana nezimo akubizi kakhulu kunokuthola umthelela ophelele wokuphazamiseka kwesikhathi esizayo.
Ukwenza izinqumo eziqhutshwa ngedatha kuye kwavela njengokwehlukanisa okuyisihluthulelo kule ndawo. Lo mkhuba ubandakanya ukusebenzisa ama-analytics wesikhathi sangempela kanye namamodeli wokuqagela ukuqondisa izinqumo zokusebenza, ukuhambisa ngaphezu kokuphathwa okusekwe ekusekelweni kokubufakazelwa. Izinkampani eziqinisa la makhono zibika ukuthuthuka okubalulekile ekusebenzeni kahle, ikhwalithi, kanye nokuphendula.
Izitayela ezine ezibalulekile zisebenzisa kabusha ukukhiqiza ngo-2025:
Ukuhlanganiswa kwe-AI : I-algorithms yokufunda i-algorithms yokwakha amashejuli okukhiqiza, ukulawulwa kwekhwalithi, nokulondolozwa kokubikezela
I-automation yezimboni : Amarobhothi athuthukile nama-cobots avumela ukuguquguquka, ukukhiqiza okuguqukayo
Amaketanga okunikezela endawo : amasu okusola ezifundayo anciphisa ukuncika kubathengisi abade
Isidingo samandla e-Ai-eqhutshwa : Ama-Smart Systems alinganisa ukusebenza kahle kokukhiqizwa ngokwenza amandla
Izinyathelo zokuncintisana zibonisa ukuphuthuma kwalolu shintsho. Ukunwetshwa kuka-ABB kuka-2025 u-US kugxile ezixazululweni ze-automation ezinikwe amandla e-AI, kuyilapho i-Nokia 'Industrie 4.0 Rollout ihlanganisa amawele edijithali kanye ne-computer ye-Edge kuwo wonke amanethiwekhi okukhiqiza. Lokhu kutshalwa kwemali kudala izinzuzo zokuncintisana ezihlanganisa isikhathi eside, zokwenza ukutholwa kusenesikhathi kubalulekile.
Umthelela wezezimali wokuhlinzekwa kwamanani wokuhlinzekwa kwamathempeli akhuphule ushintsho lwamasu wokusakaza. 57% ama-Chinese wezimboni amukela amasu we- '' Proferetor + Ama-
I-Supply Chain Bottlenecks ikhombisa amandla abo okucekela phansi imisebenzi, ngezinga lokuthumela landa kanye nokushoda kwengxenye ukuphoqa ukuvala ukukhiqizwa kuyo yonke imboni. Izinkampani ngaphandle kwamanethiwekhi okusiza angenazinsuku eziqinile abhekane nezindleko ezisebenza ngokushesha kuphela kodwa futhi nokuguguleka kwesabelo semakethe yesikhathi eside njengoba amakhasimende eshintsha kubathengisi abathembekile ngokwengeziwe.
Ukuhlaziywa kokubikezela kubonisa ukusetshenziswa okusebenzayo kwe-AI ekwenzeni izinqumo. Lobu buchwepheshe buhlaziya amaphethini omlando kanye nedatha yesikhathi sangempela ekuphaphekeni kwemishini, izingqinamba zekhwalithi, kanye namabhodlela okukhiqiza ngaphambi kokuba kwenzeke. Icala lokusebenzisa elijwayelekile lifaka ukutholwa okuyisiphene kwesikhathi sangempela, lapho amasibili e-Computer Vision ahlonza khona izinkinga zekhwalithi milleliseond ngemuva kokuthi zenzeke, ukuvimbela imikhiqizo engenaphutha ukuthi ithuthuke ngomugqa wokukhiqiza.
Ama-analytics anikwe amandla we-AI aletha izinzuzo ezilinganisekayo ngokunciphisa isikhathi sokuphumula esingahleliwe kanye nokwenza ngcono imishado yenzuzo ngokusebenzisa ukwabiwa kwezinsizakusebenza okulungiselelwe.
I-Edge Computing isibe yisisekelo sokukhiqiza okuhle, okunika amandla ukucubungula idatha eduze komthombo wayo wokuhlaziywa kwesikhathi sangempela kanye namakhono okuphendula ngokushesha. Umphathi onqenqemeni njengoyunithi lwe-Hardware olwenziwe lwasendaweni eqhuba i-AI ukutholwa ngqo esitolo, ukuqeda ama-latency kanye nokuxhuma ukuncika kwezinhlelo ezenzelwe amafu.
Ukulungiswa kwe-AI-Powered Realtiving okumele enye yezinhlelo zokusebenza ezithintekayo kakhulu ze-Computing Enqenqemeni, amasu okugcina okugcina kusuka ezindleleni ezisuselwa kuHlelo lokungenelela okuqhutshwa idatha. Le shintsho inciphisa isikhathi sokuphumula esingahleliwe ngenkathi kulungiswa ukwabiwa kwezinsizakusebenza.
I-Ruihua Hardware ihola imakethe ekuhlinzekeni ingqalasizinda ebalulekile yalezi zindawo zokusetshenziswa ezi-smart-onqenqemeni ngokusika-amapulatifomu ama-iot asebenza kakhulu, kanye namapulatifomu aphelele we-Iot wezimboni ahlanganisa ngokuthungatha ngezinhlelo ezikhona ze-Mes nezinhlelo ze-ERP. Izisombululo zethu zihlala ziqhudelana ngokuncintisana ngokuthembekile, ukuguquguquka okuhlanganisiwe, kanye nezindleko eziphelele zobunikazi.
I-Edge Computing ihambisa izikhathi ezibucayi zokuphendula kwezicelo ezibucayi zokulawula ezisezingeni eliphakeme, inika amandla ukulungiswa okusheshayo okuvimbela imikhiqizo engenaphutha futhi kunciphise imfucuza. Le nzuzo ye-Latency ibalulekile ukuthola izinhlelo zokusebenza njengokuphinda okusheshayo kokubona kokuhlola kanye nokulawulwa kwenqubo yesikhathi sangempela.
Ukucubungula Indawo |
Ejwayelekile |
Amacala okusebenzisa amahle kakhulu |
|---|---|---|
Onqenqemeni / on-presesise |
<1ms |
Ukulawula isikhathi sangempela, izinhlelo zokuphepha |
Ukucutshungulwa kwamafu |
50-200ms |
Ukuhlaziywa Komlando, Ukubika |
I-Hybrid Edge-Cloud |
1-10ms |
Ukuhlaziywa kokubikezela, ukwenziwa kahle |
Ukulungiswa okubikezelayo kuguqukela kusuka kuhlelo-kususelwa kumasu aqhutshwa idatha , kusetshenziswa idatha yezinzwa kanye nokufunda komshini ukubikezela ukwehluleka kwemishini ngaphambi kokuba kwenzeke. Le ndlela ivame ukunciphisa isikhathi sokulungisa (i-MTTR) ngo-30-50% ngokungenelela kusenesikhathi kanye nokuhlelwa kahle kwesondlo.
Ifomula yokusebenza kahle yokulungiswa kwe-AI eqhutshwa yi - Ai
I-Huihua Hardware isekela ukusetshenziswa kwefektri e-smart ngokusebenzisa imikhakha emithathu eyisisekelo yomkhiqizo ohlinzeka ngokusebenza okuphezulu ngokuqhathaniswa nezixazululo zendabuko:
Izinzwa ze-Industrial-graden : izinga lokushisa, ukudlidliza, kanye nezinzwa zombono eziklanyelwe izindawo ezinokhahlo ukuqina ngokuqina okuhlukile nokunemba
Izilawuli Zomphetho : Hardware enikwe amandla i-GPU ye-On-Site AI ukutholwa kanye nokucutshungulwa kwesikhathi sangempela namandla okuhola okuholela embonini kanye nokwethenjwa
Ipulatifomu ye-IOT : Ukufakwa kwedatha okuhlangene, amadeshi e-analytics, kanye nokuhlanganiswa kwe-API ngokuxhumana kohlelo olungenamthungo ngokuguquguquka kohlelo olungenakuqhathaniswa nokuqina
Ukuhanjiswa kwamakhasimende kwakamuva kwesixazululo sikaRuihua's Edge kuholele ekunciphiseni okungahleliwe ngesikhathi esingahleliwe ngokutholwa kwephutha kusenesikhathi nokuhlelwa kwesondlo okwenziwe kahle, okubonisa izinzuzo ezisebenzayo zentuthuko yethu ehlanganisiwe yekhambo kanye nentuthuko evamile yezimboni.
I-automation yokwenziwa yanamuhla yavela ngale kwamarobhothi engqondo ahleliwe ukwamukela ama-cobots asebenzisanayo afunda futhi avumelanise nezimo zokukhiqiza. Lezi zinhlelo zihlanganisa ukuguquguquka ngokusebenza kahle ngenkathi kufakwa ama-algorithms alungiselelwe amandla anciphisa ukusetshenziswa kwamandla ngo-15-20% uma kuqhathaniswa ne-automation ejwayelekile.
Lokhu kuziphendukela kwemvelo kwenza abakhiqizi bakwazi ukuphendula ngokushesha ukuhlukahluka komkhiqizo kanye nezidingo zemakethe ngenkathi kugcinwa ukusebenza kahle kanye nezinhloso zokusimama.
I-Cobot (irobhothi elisebenzisanayo) yenzelwe ukusebenza ngokuphepha eceleni kwabantu, okuba nezinzwa ezithuthukisiwe nezinhlelo zokuphepha eziqhutshwa yi-AI ezinika amandla izindawo zokusebenza ngaphandle kwezithiyo zokuphepha zendabuko. Lezi zinhlelo zidlula ekuhlelweni kwendlela enamandla yokuhlela kanye nokuqondisa okuqondiswa kokubonwa kokukhetha kanye nendawo, zisebenzisa ukunyakaza kwazo ngokuya ngezimo zemvelo zesikhathi sangempela.
ICobots ifunda emibonisweni yabantu futhi ingahle ihlelwe ngokushesha ngemisebenzi emisha, ibenze balungele abakhiqizi ngemigqa yomkhiqizo ehlukahlukene noma ama-evovers ajwayelekile. Amakhono abo avumelanayo anciphisa isikhathi sokusetha futhi akhuphuke ngempumelelo yensiza ephelele.
I-AI algorithms ingakwazi ukulinganisa ngokulingana ngejubane lokukhiqiza ngokusetshenziswa kwamandla, ukulungiselela isivinini sezimoto, amasistimu wokufudumeza, nokusetshenziswa komoya okuncishiswa kususelwa kwizindleko zesikhathi sangempela. Lokhu kuhlangana phakathi kwe-AI kanye nokusebenza kahle kwamandla kwenza abakhiqizi ukuthi balondoloze umkhiqizo ngenkathi kunciphisa izindleko zokusebenza kanye nomthelela wezemvelo.
Amasistimu wokuhlela we-Smart angashintsha imisebenzi ebanzi yamandla emahoreni aphezulu aphezulu lapho amanani kagesi ephansi, enza ngcono izindleko zokusebenza ngaphandle kokudela ukudela.
Izingxenye eziphakathi nezithuthi zezimoto zisebenzisa ukwenziwa kwe-AI-eqhutshwa kahle ngemiphumela elandelayo:
Ukusebenza okuyisisekelo :
I-12% Isilinganiso Scrap ngenxa yokuhluka kwekhwalithi
I-8% Energy Energy isuka ekuhlelweni okungasebenzi kahle
Ukungenelela :
I-AI-Powered Production scheduler
Ama-cobots aguqukayo ngokuqondiswa kombono
Ukuqapha kwekhwalithi yesikhathi sangempela
Imiphumela ngemuva kwezinyanga eziyisithupha :
Izinga le-Scrap lincishiswe ku-4% ngokulawulwa kwekhwalithi yokuqagela
Ukudliwa kwamandla kwehle ngo-18% nge-orvid schedule
Ukusebenza kwensiza okuphelele kuthuthukiswe ngo-22%
Isu le- 'lomphakeli + Le ndlela idinga ukuthuthukiswa komhlinzeki ngokucophelela kanye nokuhlanganiswa kepha ihlinzeka ngokuqina okubalulekile kokuphazamiseka.
Ubuchwepheshe be-Digital Twin busiza ukubonakala kokuphela kokuphela kokuphela kokuphela kwama-replicas amanethiwekhi okuhlinzeka ngokuvuselela ngesikhathi sangempela. I-digital Twin ihlanganisa idatha kusuka emithonjeni eminingi ukuhlinzeka ngokubonakala okuphelele kokubonakala kanye namakhono wokumodela wesimo.
Ubuchwepheshe beBlockchain buthuthukisa ukuphepha okuthe xaxa kwamarekhodi okwenziwa okungapheli kanye nokuthathwa okuthuthukile, okunika amandla ukulungiswa kwengxabano okusheshayo kanye nokuqiniseka okuthuthukile phakathi kwabalingani.
Ukuqalisa ukusebenza kwe-Supporifing Poverrification esebenzayo kudinga indlela ehlelekile:
Ukuhlola ubungozi : Thola izingxenye ezibucayi kanye nokuncika komthombo owodwa
Imfanelo Yezokuhlinzekwa : thuthukisa abahlinzeki bemihlangano yamabanga aphezulu kanye namazinga wokuhambisana
Ukuhlanganiswa : faka abahlinzeki be-backup kuma-prucurement Workflow Workflow kanye nezinhlelo ze-ERP
Ukucwaningwa kwamabhuku okujwayelekile : Gcina ubudlelwano bomhlinzeki kanye namakhono ngokuhlola okuqhubekayo
Ukusebenziseka kwenkontileka : Izivumelwano zezinkomo ezinika amandla ukukala okusheshayo lapho kudingeka
I-Digital Twin Systems Aggregate Idatha evela ekufakweni okuningi kufaka phakathi izinzwa ze-IOT, ama-erp feed, amasistimu womhlinzeki, nabanikezeli bezinto zokufunda ukudala amamodeli wokuthengwa kwezidingo. Lezi zinhlelo zinika amandla ukumbumbuluzwa kwesimo, okuvumela abakhiqizi ukuthi bahlole umthelela wokuphazamiseka okungaba khona kanye nokwenza kahle amasu okuphendula.
Imiphumela ifaka ukulandela umkhondo wokusungula kwesikhathi sangempela, funa ukubikezela, kanye nezexwayiso ezenzakalelayo zezingqinamba ezifuywayo ezingaba khona, okwenza zisebenze zinamandla kunokuba zisebenzele ukuhlinzekwa kwezidingo.
Imisebenzi yeBlockchain njenge-ledger esatshalaliswa eqopha ngokungenamsebenzi owenziwe amaqembu amaningi, yakha imizila yokucwaningwa kwamabhuku e-tamper-proof yemisebenzi yokuhlinzekwa kwamathempeli. Lobu buchwepheshe buhlinzeka ngezinzuzo ezimbalwa ezibalulekile:
Ukulandelela : Ukubonakala okuphelele kwemvelaphi yengxenye nokuphatha
Amarekhodi e-Tampler-Proof : Imibhalo engaguquki yezitifiketi zekhwalithi kanye nokuhambisana
Ukuhlala Ngokushesha : Izinkontileka ezizenzakalelayo ze-Smart zinciphisa ukubambezeleka kwemali
Ukuqiniseka okuthuthukile : Ukubonakala okwabiwe kunciphisa izingxabano kanye nokwenza ngcono ukusebenzisana
Ukuqaliswa okuphumelelayo kudinga indlela ehlelekile ebiza imali yokutshala imali ngembuyiselo ngenkathi yokwakha amakhono wokukhula kwesikhathi esizayo. Lolu uhlaka luhlinzeka ngesiqondiso esisebenzayo sokuhlola amaphrojekthi, ukuphatha ukukhishwa kwemisuka, kanye nokuqinisekisa ukusimama kwesikhathi eside.
Amamethrikhi asemqoka wokuhlola ukutshalwa kwezimali kobuchwepheshe bokukhiqiza:
ICapex vs. Opex Savings : Ithagethi Buyela Ekutshalweni Kwezimali Engaphezu kwama-20% kungakapheli iminyaka emi-3
Ukuncishiswa kwe-MTTR : Linganisa isikhathi sokuphumula ngokulungiswa kokuqagela
Ukwehla kwesilinganiso kwe-Scrap : Ukuthuthuka kwekhwalithi nokwehliswa kwemfucumfucu
Ukugwema izindleko ze-Energy : Bala ukonga kusuka ekusetshenzisweni kwamandla okwenziwe kahle
Ncoma ukusebenzisa amamodeli wenani lamanje (NPV) ane-5-aveons accondion ukuze uthole ukuvela kobuchwepheshe kanye nezinzuzo zokulinganisa ngokuhamba kwesikhathi.
Isigaba 1: Ukuqaliswa kokushayela (izinyanga ezi-3-6)
Sebenzisa umugqa wokukhiqiza owodwa
Gxila ekuqoqweni kwedatha kanye ne-order computing
Sungula ama-metric aremic kanye nesilinganiso se-ROI
Isigaba 2: Ukukala nokuhlanganiswa (izinyanga eziyi-6 kuya kwezi-12)
Nweba imigqa yokukhiqiza esondelene nayo
Hlanganisa nezinhlelo ezikhona ze-ERP nezinhlelo
Ukuthuthukisa ubuchwepheshe bangaphakathi nezinhlelo zokuqeqesha
Isigaba 3: Ukukhishwa kwe-Enterprise (izinyanga eziyi-12-24)
Ukuqaliswa kwenkampani okubanzi
Faka amawele edijithali namakhono we-blockchain
Sungula izinqubo zokuthuthukisa eziqhubekayo
Idizayini yehadiwe ye-modular inika amandla ukuhlanganiswa kwe-plug-and-play inzwa kanye nokuthuthukiswa kohlelo olulula ngaphandle kwezinguquko ezinkulu zengqalasizinda. I-Software APIs inikezela ukuguquguquka kokuhlanganisa amakhono amasha njengoba etholakala.
Ukwemukela izindinganiso ezivulekile ezifana ne-OPC UA zivimbela ukukhiya komthengisi futhi ziqinisekise ukuhambisana nentuthuko yezobuchwepheshe yesikhathi esizayo, ukuvikela inani lesikhathi eside lokutshala imali ngenkathi kugcinwa ukuthuthukiswa kwezimali. Inguquko ekhiqizayo ka-2025 iveza amathuba angakaze abonwe kanye nezinselelo ezikhona. Izinkampani ezamukela ukuhlanganiswa kwe-AI, ezenzakalelayo ezisebenzayo kanye nokuqina kokuhlinzekwa kwezidingo zizothola izinzuzo zokuncintisana ezizinzile, ngenkathi lezo ezibambezelekile zibhekene nobungozi obukhulayo bengozi yemakethe. Ukuguqulwa kwe-Computer Enqenqemeni, ama-robotic aguqukayo, nokwenza izinqumo eziqhutshwa ngedatha akusona isimo esizayo esizayo kepha kungukuthi makusasa amaqiniso avuselela kabusha umncintiswano wezimboni. Impumelelo idinga ukuhamba ngale kwamaphrojekthi okushayela ekusetshenzisweni okuhleliwe, asekelwa izakhiwo ze-modular kanye nohlaka olucacile lwe-ROI. Umbuzo awusekho noma ngabe ungamukeli lobu buchwepheshe, kepha ngokushesha futhi ngempumelelo nje angahlanganiswa kanjani ukuze afake amathuba emakethe ngenkathi wakhe ukubekezelela kokuphazamiseka kwesikhathi esizayo.
Bala i-ROI ngokuqhathanisa izindleko zobunikazi (i-capex, opex, ukuqeqeshwa) ngokumelene nezinzuzo ezifanayo njengokuncishiswa kokuphumula, amanani aphansi aphansi, kanye nokonga amandla. Gxila kumamethrikhi afana ne-MTTR ukwehliswa kwe-MTTR (30-50% ejwayelekile), ukuthuthuka kwesilinganiso samazinga, nokugwema izindleko zamandla. Sebenzisa amamodeli we-NPV anezinkulungwane zeminyaka emi-5 nethagethi iyabuya idlula ama-20% kungakapheli iminyaka emi-3. Ipulatifomu ye-Iot ye-Ruihua Hardware ihlinzeka ngamadeshibhodi e-analytics ahlanganisiwe alandelela lezi zinkomba zomsebenzi osemqoka, enika amandla ukulinganiswa okunembile kwe-ROI kuzo zonke izindlela zakho ezenzakalelayo.
Qala nge-workshop ephelele yokufundisa ngedatha ukukhomba amaphuzu wokuhlanganisa kanye nokugeleza kwedatha. Thumela amasango emigwaqo eveza ama-API ajwayelekile afana ne-OPC UA yokuxhumana okungenamthungo. Lungiselela izixazululo ze-Middleware ukuvumelanisa idatha yesikhathi sangempela nge-ERP / MES Systems. Abalawuli be-Hardiare Hardware's Enqenqemeni babufaka amakhono okwakhelwe ukwakhiwa futhi basebenza ngezinhlelo ezikhona / ze-ERP ezikhona, ukuhlinzeka ngokubonakala okuhlangene ezinhlanganweni ezisebenzayo nezinhlelo zebhizinisi ngaphandle kokudinga ukuguqulwa kwengqalasizinda ephelele.
Sebenzisa amamodeli we-AI alungiselelwe amandla enzelwe izinhlelo zokusebenza zezimboni futhi athumele i-Hardware Enqenqemeni nge-GPU enamandla yamandla okunciphisa ukudweba kwamandla. Hlela imisebenzi ephakeme ye-AI yokulandela ama-AI ngesikhathi samahora angekho emqondweni lapho amanani kagesi aphansi. Sebenzisa izinhlelo ze-Smart Energy Management Managements ezilinganisela izidingo zokucubungula i-AI ezinokusetshenziswa kwesikhungo sonke. Abalawuli abanqenqemeni be-Hardiare Hardware bafaka ubuchwepheshe obusebenza ngamandla e-GPU kanye nokuhlelwa komsebenzi ohlakaniphile wokuhlela ukunciphisa ukusetshenziswa kwamandla ngo-15-20% ngenkathi kusebenza ukusebenza kwe-AI.
Qala ngokuhlola ubungozi ukuthola izinto ezibucayi kanye nokuxhomekeke komthombo owodwa. Abahlinzeki besibili abafanelekile abahlangabezana namazinga wekhwalithi kanye nokuhambisana nezinqubo zokuhlola ezinzima. Hlanganisa abahlinzeki be-Backup ezinhlelweni zokuthengwa kwezimpahla ezinkontileka ezinama-pual-sourcing bese usungula ukucwaningwa okujwayelekile kokusebenza. Gcina ubudlelwano ngokuxhumana okuqhubekayo nokubekwa kwe-oda ngezikhathi ezithile. I-Digital Twin Technology ingalingisa izimo zokuhlinzekwa kokuhlinzekwa kokwandisa isu lokuhlinzekelwa kabusha komhlinzeki wakho futhi bakhombe amakhono angaba khona ngaphambi kokuba bathinte imisebenzi.
Yenza inqubo yakho yokusebenza echazwe ngaphambilini: Cishe uhlukanisa imishini ethintekayo ukuvikela izingozi zokuphepha noma ukulimala okwengeziwe. Dispatch abasebenzi besondlo ngezingxenye ezidingekayo ezisuselwa ekubikezelweni kokwehluleka kohlelo lwe-AI. Yenza kusebenze imigqa yokukhiqiza yokusekelayo noma okunye ukuhamba komsebenzi ngenkathi inkinga ixazululwa. Ipulatifomu yokulondolozwa ye-Ruihua Hardware's Reallive's Realtive inikeza ukukhonjwa kwemodi ethile yokwehluleka nokuncoma uhlu lwezindawo zokuphumula, ukunika amandla amaqembu wesondlo ukuba aphendule ngokunemba futhi anciphise i-MTTR ngo-30-50%.
Ukucacisa okuxhunyiwe: Ubunjiniyela be-Engilling of Bite-Type Ferrule Fittings
Imininingwane enqumayo: Ukudalula igebe lekhwalithi elingabonakali kuma-Hydraulic Quick Couplings
Misa ukuvuza kwe-hydraulic okuhle: amathiphu ama-5 abalulekile ngokubekwa uphawu okungenaphutha
Ikhwalithi ye-CRIMP ivezwe: Ukuhlaziywa kwendlela eceleni kwakho awukwazi ukungakunaki
Ed vs vs o-ring ubuso seal fittings: Ungakhetha kanjani ukuxhumana okuhle kwe-hydraulic
I-Hydraulic Fitting Face-off-off: Lokho okwembulwa yi-nati ngekhwalithi
I-Hydraulic hose ukwehluleka-Out ukwehluleka: Iphutha le-CRECKIN CRIPING (ngobufakazi obubonakalayo)