Views: 5 Author: Site Editor Publish Waati: 2025-09-11 A bɔyɔrɔ: Yɔrɔ
San 2025, fɛn dilanni bɛna ɲɛfɔ ni seko gɛlɛn saba ye: AI Integration, Intelligent Automation, ani Supply Chain Resilience. Olu tɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye min bɛ se ka kɛ fɛn ye. Ani 89% ka dilanbagaw bɛ AI jɛli ni dugukoloko politiki gɛlɛyaw labɛn diɲɛ kɔnɔ fɛnw dilancogo kura la, tɔn minnu bɛ denfaya bila kɔfɛ, olu bɛ se ka suguya caman sɔrɔ. Edge computing, adaptive robotics, ani data-driven latigɛw ka ɲɔgɔn sɔrɔ, o bɛ ka sababuw dilan minnu ɲɔgɔn ma deli ka kɛ walasa ka baarakɛcogo ɲuman sɔrɔ, k’a sɔrɔ u bɛ se ka muɲuli kɛ ka ɲɛsin tiɲɛni nataw ma.
Fɛn dilanni cogoya jiginna kosɛbɛ ka bɔ AI ni ɔtomatikɛli lajɛli la i n’a fɔ seko nataw ka taa u dɔn ko u ye teliya la ɲɔgɔndan magoɲɛfɛnw ye. O bεε bε bεn ni fanga caman ye minnu bε ɲɔgɔn sεbεn minnu bε laadala dilanni taabolo kε 2025 sàn na ani a kɔfɛ.
Jeyopolitiki gɛlɛyaw, fɛnw sɔrɔli tiɲɛniw, baarakɛlaw dɛsɛ basigilen, ani diɲɛ kɔnɔ gɛlɛyaw minnu bɛ to senna kɔsa in na, olu ye sigida dɔ sigi senkan, yɔrɔ min na baarakɛcogo teliya n’a muɲuni bɛ suguya ɲɛnamaya jira. Sɛgɛsɛgɛliw y’a jira ko fɛn dilannikɛlaw 89% b’a fɛ ka AI don u ka fɛn dilanni rezow kɔnɔ, o bɛ taamasiyɛn di jamanadenw ka taabolow ma min bɛna izini ɲɛmɔgɔw fara ɲɔgɔn kan ka bɔ laggards la.
Degun min bɛ sɔrɔ ɔtomatizi ɲɛmɔgɔw fɛ i n’a fɔ ABB, Siemens ani Fanuc, o bɛ ka bonya ka da a kan o tɔnw bɛ u ka fɛɛrɛbɔ teliya ani ka suguya sɔrɔ ka bɔ ɲɔgɔndankɛlaw la minnu bɛ taa dɔɔnin dɔɔnin. Nka, Ruihua Hardware ka fɛɛrɛ bɛɛjɛfanga la, min bɛ tali kɛ fɛn dilanni na, o bɛ sira di fɛn dilannikɛlaw ma, minnu bɛ se ka sɔrɔ, walasa u ka se ka ɲɔgɔn sɔrɔ koɲuman nin tulonkɛlabaw fɛ, fɛɛrɛw fɛ, minnu bɛ kɛ ni laɲini ye, minnu musaka ka dɔgɔ. Cɛmancɛlafɛnw dilannikɛlaw bɛ latigɛyɔrɔba dɔ sɔrɔ: ka wari bila o seko ninnu na sisan walima farati bɛ ka kɛ fɛn ye min tɛ se ka kɛ, bawo kiliyanw ka jigiyaw ka ɲɛsin jogo ɲuman, teliya ani dannaya ma, o bɛ ka bonya ka taa a fɛ.
Fɛn minnu bɛ kɛ ka fɛnw dilan, olu tiɲɛni musaka bɔra kɛnɛ kan ni dimi ye, ni . Doubled transpacifique shipping rates ani production de la délais de la temps de la temps de la compactes ka 'cost de resilience' hakilina ta. Nin fɛn caman tigɛli in b’a dɔn ko ka wari bila baarakɛbaliya ni fɛn caman sɛgɛsɛgɛli la, o musaka ka dɔgɔ ka tɛmɛ tiɲɛni nataw nɔ bɛɛ minɛni kan.
Donanw ka latigɛw kɛra ka bɔ kɛnɛ kan i n’a fɔ danfaralanba in sigida in kɔnɔ. Nin wale in bɛ tali kɛ waati yɛrɛ la jateminɛw ni misali kɔrɔfɔlenw na walasa ka baarakɛcogo sugandili ɲɛminɛ, ka tɛmɛ ɲɛnabɔli kan min sinsinnen bɛ hakilimaya kan ka taa ɲɛnabɔli la min sinsinnen bɛ daliluw kan. Baarakɛda minnu bɛ o seko ninnu ta, olu bɛ ɲɛtaa caman fɔ u ka baarakɛcogo ɲuman, u ka jogo ɲuman ani u ka jaabiw la.
Fɛn naani minnu bɛ kɛ, olu ye fɛn dilanni sɛgɛsɛgɛli ye san 2025 kɔnɔ:
AI Integration : Masina kalan algorisimuw ka baara bolodalenw ɲɛnabɔ, jogoɲini, ani ladonni kofɔlenw .
Industrie Automation : Robotics ni cobots ɲɛtaa minnu bɛ se ka kɛ fɛn ye min bɛ se ka wuli, min bɛ se ka ladamu .
Localized Supply Chains : Marabolow ka sɔrɔko fɛɛrɛw bɛ dɔ bɔ u ka dannaya la yɔrɔjan feerelaw kan .
AI-Driven Energy Demand : . Smart Systems Balancing Production Efficiency with Energy Optimisation .
Sɔrɔdasiw ka fɛɛrɛw bɛ o fɛn caman tigɛli kɔrɔtɔko jira. ABB ka san 2025 Ameriki ka yiriwali sinsinnen bɛ AI-enabled automation solutions kan, ka sɔrɔ Siemens ka Industrie 4.0 rollout bɛ fila nizitali ni edge computing fara ɲɔgɔn kan fɛn dilanni rezow kɔnɔ. O waridonw bɛ nafa sɔrɔ ɲɔgɔndan na minnu bɛ fara ɲɔgɔn kan waati kɔnɔ, o bɛ kɛ sababu ye ka denfaya sɔrɔ joona.
Fɛn minnu bɛ se ka kɛ sababu ye ka fɛnw dilan, olu bɛ se ka nɔ min bila wariko la, o ye fɛn caman Changements de stratégies de stratégiques (Yɛlɛma minnu bɛ kɛ ka caya). Sinuwaw ka izinitɔnw 57% bɛ ka 'Supplier + 1' fɛɛrɛw ta walasa ka dɛsɛ faratiw nɔgɔya yɔrɔ kelen na, k’a dɔn ko fɛn caman sɛnɛni nafa ka bon baarakɛcogo taabolo la.
Supply chain buteliw y’a jira k’u bɛ se ka baara tiɲɛ, ni kurunbokari hakɛ cayalen don ani a yɔrɔw dɛsɛli min bɛ kɛ sababu ye ka sɛnɛfɛnw bɔli dabila iziniw kɔnɔ. Baarakɛda minnu tɛ ni fɛnw ye minnu bɛ se ka muɲu, olu tɛ baara musakaw dɔrɔn sɔrɔ teliya la, nka u bɛ suguya kuntaalajan sɔrɔ, bawo kiliyanw bɛ wuli ka taa feerekɛlaw ma minnu bɛ se ka da u kan kosɛbɛ.
Analitikalan min bɛ kɛ ni kɔrɔfɔ ye, o bɛ AI waleyali waleyali jira fɛn dilanni latigɛcogo la. Nin fɛɛrɛ in bɛ tariku cogoyaw n’a kunnafoniw sɛgɛsɛgɛ waati yɛrɛ la walasa ka minɛnw tiɲɛniw fɔ, jogoɲumanya koɲɛw, ani fɛn dilanni gɛlɛyaw sanni u ka kɛ. Baarakɛcogo misali dɔ bɛ tali kɛ waati yɛrɛ la fiɲɛbɔli la, yɔrɔ min na ɔridinatɛri yeli fɛɛrɛw bɛ gɛlɛya milisekɔndiw dɔn u kɛlen kɔfɛ, ka fɛn nafamaw bali ka taa ɲɛ ka tɛmɛn fɛn dilanni sira fɛ.
AI-enabled analytics bɛ nafa sumanlenw di ni jɔli bolodalenw dɔgɔyali ye ani ka tɔnɔ sɔrɔta ɲɛ ka tɛmɛn nafolo tilacogo ɲuman kan ani bɔgɔ dɔgɔyali fɛ.
Edge Computing kɛra bi hakilitigiw dilanni jusigilan ye, min bɛ se ka kunnafonidilanw baaracogo ɲɛ ka surunya a bɔyɔrɔ la waati yɛrɛ la jateminɛw ni jaabi teliya sekow la. Edge Controller bɛ baara kɛ i n’a fɔ sigida-la-minɛn min bɛ AI inference (AI) baara kɛ ka ɲɛsin butiki duguma ma, ka sankaba-sɛnɛ-sitɛmuw ka latency (latency) ni connectivity (ɲɔgɔndan) dependencies (latɛmɛni) ban.
AI-powered predictive maintenance (AI-powered predictive maintenance) bɛ EDGE jatebɔ baarakɛcogo dɔ jira min bɛ nɔ bila kosɛbɛ, ka ladonni fɛɛrɛw wuli ka bɔ fɛɛrɛw la minnu sinsinnen bɛ waatibolodacogo kan ka taa kunnafonidilanw na minnu bɛ tali kɛ kunnafoniw na. O fɛn caman tigɛli bɛ dɔ bɔ jɔli la min ma labɛn ka sɔrɔ ka ladonni nafolo tilacogo ɲuman sɔrɔ.
Ruihua Hardware bɛ sugu ɲɛminɛ ka fɛn nafamaw di nin izini hakilitigiw waleyaliw ma ni sensɛriw ye minnu tigɛra, minnu bɛ se ka baara kɛ kosɛbɛ, ani izini IoT sigida bɛɛ lajɛlen minnu bɛ ɲɔgɔn sɔrɔ cogo la min tɛ ɲɔgɔn ta ni MES ni ERP sitɛmuw ye minnu bɛ yen. An ka furakɛlicogo bɛ tɛmɛ tuma bɛɛ ɲɔgɔndanna sarakaw kan dannayako la, jɛ-ka-baara sɛgɛsɛgɛli la, ani fɛntigiya musaka bɛɛ lajɛlen na.
Edge Computing bɛ jaabi waatiw di milisecond sub-milisecond ma walasa ka jogoɲini baara gɛlɛnw kɛ, ka se ka latilenni kɛ teliya la minnu bɛ fɛnw bali minnu nafa ka bon ani ka tiɲɛniw dɔgɔya. O nafa latɛmɛni nafa ka bon kosɛbɛ baarakɛcogo la i n’a fɔ yeli sɛgɛsɛgɛli teliya la ani waati yɛrɛ la baarakɛcogo kɔlɔsili.
Baara kɛyɔrɔ . |
Latency typique . |
A ka fisa ka baara kɛ ni a ye . |
|---|---|---|
Edge/on-premise . |
<1ms . |
Kɔrɔsili waati yɛrɛ la, lakana siraw . |
Sankaba baarakɛcogo . |
50-200ms . |
Tariku sɛgɛsɛgɛli, kunnafonidi . |
hybride edge-cloud . |
1-10ms . |
Analytiques prédictifs, optimisation . |
Ladonni kɔrɔfɔlen bɛ ka bɔ waatibolodacogo la ka taa kunnafonidilanw na , ka baara kɛ ni sensɛri kunnafoniw ye ani masinw kalanni ye walasa ka minɛnw tiɲɛni kofɔ sani u ka kɛ. A ka c’a la, o fɛɛrɛ in bɛ waati cɛmancɛ dɔgɔya (MTTR) ni 30-50% ye, ka kɛɲɛ ni dɛmɛ ye joona ani ka ladonni bolodacogo ɲuman sɔrɔ.
AI-driven ladonni nafama formula bɛ baarakɛcogo ɲɛtaa caman jira: MTTR dɔgɔyali = 30-50% ni AI-based aler systems (AI-based alerte systems) waleyali bɛ kɛ, ka da iziniw ka ko kɛlenw kan fɛn dilanni seko ni dɔnko siratigɛ la.
Ruihua Hardware bɛ Smart Factory waleyali dɛmɛ ni fɛn dilannenw suguya jɔnjɔn saba ye minnu bɛ baara kɛcogo ɲuman di tuma bɛɛ n’i y’a suma ni laadala furaw ye:
Industri-grade Sensors : funteni, yɛrɛyɛrɛ, ani yelifɛn minnu dilannen don fɛn dilanni sigida gɛlɛnw kama minnu bɛ se ka muɲu kosɛbɛ ani minnu bɛ se ka kɛ tiɲɛ ye .
Edge Controllers : GPU-enabled hardware for on-site AI inference ani waati yɛrɛ la baarakɛcogo ni industry-leading processing power and reliability
IoT Plateforme : Data Unified Ingestion, Analytics Dashboards, ani API Integration for Seamless System Connectivity ni sɛgɛsɛgɛli ni sɛgɛsɛgɛli min tɛ se ka suma ni ɲɔgɔn ye .
Kɔsa in na, Ruihua ka EDGE ɲɛnabɔli kɛra kiliyanw ye, o kɛra sababu ye ka 35% dɔgɔya ka ɲɛsin jɔli ma min ma labɛn fɔlɔ, ka tɛmɛn filiw sɔrɔli kan joona ani ka ladonni waati bolodacogo ɲuman sɔrɔ, k’a jira ko nafa bɛ sɔrɔ an ka dantigɛli kɛcogo jɛlen na, ani ka tɛmɛ izini ɲɛtaa danma kan.
Bi fɛn dilanni otomatiki jiginna ka tɛmɛ robow kan minnu bɛ tali kɛ laadalasira jɔlenw na walasa ka jɛ-ka-baara cobots minɛ minnu bɛ kalan ani ka ladamu ni fɛn dilanni wajibiyalenw yeli ye. Nin sigida ninnu bɛ sɛgɛsɛgɛli kɛ ni baarakɛcogo ɲuman ye k’a sɔrɔ u bɛ fanga-ɲini-minɛnw don u kɔnɔ minnu bɛ fanga sɔrɔli dɔgɔya ni 15-20% ye ni i y’a suma ni otomatiki kɔrɔlen ye.
O sɛgɛsɛgɛli in bɛ kɛ sababu ye ka fɛn dilannikɛlaw dɛmɛ u ka se ka fɛn dilannenw caman ɲɔgɔnna ani ka suguya ɲininiw jaabi ka sɔrɔ ka baarakɛcogo ɲuman ni sabatili kuntilenna mara.
Cobot (robo jɛlen) dabɔra ka baara kɛ lafiya la hadamadenw kɛrɛfɛ, a bɛ ni sensɛriw ye minnu bɛ taa ɲɛ ani lakana siratigɛw AI-driven minnu bɛ se ka baarakɛyɔrɔw tila ɲɔgɔn na ni lakana balilanw tɛ. O siratigɛw bɛ tɛmɛn sirako bolodacogo barikama kan ani pick-and-place baara minnu bɛ ɲɛminɛ yeli siratigɛ la, k’u ka lamaga-lamagaliw bɛrɛbɛn ka da sigida cogoyaw kan minnu bɛ kɛ waati yɛrɛ la.
Kobow bɛ kalan sɔrɔ hadamadenw ka ɲɛjiraliw la, wa u bɛ se ka porogaramu kura kɛ teliya la baara kuraw kama, o b’a to u ka ɲi fɛn dilannikɛlaw ma minnu ka fɛn dilannenw tɛ kelen ye walima minnu bɛ to ka fɛn caman Changer. U ka se ka ladamuni sekow dɔgɔya ani ka dɔ fara minɛnw bɛɛ nafa kan.
AI algorisimuw bɛ se ka hakili sɔrɔ ka bɔ baara teliya la ni fanga ye, ka motɛrɛ teliya, funteni sɔrɔcogo, ani fiɲɛ minɛcogo minɛ ka da a ɲinini waati yɛrɛ kan ani fanga musakaw kan. O jɛɲɔgɔnya min bɛ AI ni fanga sabatili cɛ, o bɛ kɛ sababu ye ka fɛn dilannikɛlaw dɛmɛ u ka se ka baara kɛ ka sɔrɔ ka baara musakaw dɔgɔya ani ka sigida laminiko nɔfɛkow dɔgɔya.
Smart Scheduling Systems bɛ se ka fanga-sɔrɔ-baaraw wuli ka taa lɛrɛw la minnu tɛ se ka kɛ waati min na kuran hakɛw ka dɔgɔ, ka baara musakaw ɲɛ ka taa a fɛ k’a sɔrɔ u ma fɛn dilanni laɲiniw saraka.
Mobili yɔrɔ dɔw dilanko tɔnba dɔ ye AI-driven optimization (AI-driven optimisation) waleya ni nin jaabi ninnu ye:
Baseline baarakɛcogo : .
12% scrap rate ka da a jogo caman ɲɔgɔnna kan .
8% fanga bɛ tɛmɛn ka bɔ waatibolodacogo ɲuman na .
Intervention : .
AI-powered production scheduler .
Cobots adaptifs ni vision guidance .
Jogoɲumanya kɔlɔsili waati yɛrɛ la .
jaabiw kalo 6 kɔfɛ :
Scrap hakɛ dɔgɔyara ka se 4% ma ni jogoɲini kofɔlenw ye .
Kuwame fanga dɔgɔyara ni 18% ye waatibolodacogo ɲuman fɛ .
Minɛnw nafa bɛɛ lajɛlen ɲɛnabɔra ni 22% ye .
'Supplier + 1' fɛɛrɛ bɛ dɔ bɔ yɔrɔ kelen dɛsɛ farati la ni a bɛ se ka kɛ sababu ye ka fɛn wɛrɛw mara minnu bɛ se ka kɛ fɛn nafamaw ye. O fɛɛrɛ in bɛ ɲini ka fɛnw dilanbagaw ka yiriwali ni u ka ɲɔgɔnfaamu sɔrɔ ka ɲɛ nka a bɛ muɲuli nafamaw di tiɲɛniw ma.
Nizɛri Twin fɛɛrɛ bɛ se ka kɛ sababu ye ka fɛnw dilancogo yeli laban-ka-ban, a kɛtɔ ka fɛnw dilancogo rezow labɛn minnu bɛ ladamu waati yɛrɛ la. Twin numérique bɛ kunnafoniw fara ɲɔgɔn kan ka bɔ yɔrɔ caman na walasa ka yecogo ni scenario modeling seko bɛɛ di.
Blockchain fɛɛrɛ bɛ fɛnw dilancogo lakanani sabati ni jagokɛcogo sɛbɛnw ye minnu tɛ se ka wuli ani ka tugu ɲɔgɔn kɔ, o bɛ se ka kɛ sababu ye ka bɛnkanw ɲɛnabɔ joona ani ka dannaya sabati jɛɲɔgɔnw ni ɲɔgɔn cɛ.
Fɛnfeerelaw ka fɛn caman sɛnɛcogo ɲuman waleyali bɛ taabolo sigilenw de wajibiya:
Faratiw jateminɛni : A yɔrɔ kolomaw ni yɔrɔ kelenw dantigɛliw dɔn .
Supplier qualification : Ka feerelikɛla filananw labɛn ka ɲɛsin jogoɲumanya ni sariya labatoli sariyaw ma .
Intégration : Ka kɔkanfɛnw feerelaw don sannifeere baarakɛcogo la ani ERP sitɛmuw kɔnɔ .
Jateminɛw bɛ kɛ tuma bɛɛ : Ka fɛnw dilanbagaw ni ɲɔgɔn cɛ jɛɲɔgɔnyaw ni sekow mara jateminɛ senfɛ .
Kontra Optimisation : Jɛkulu ka bɛnkan minnu bɛ se ka sɛgɛsɛgɛli teliya ni u mago bɛ .
Nizɛri fila-fila-sitɛmuw bɛ kunnafoniw fara ɲɔgɔn kan ka bɔ fɛn caman na i n’a fɔ IoT sensɛriw, ERP feeds, fournissement systems, ani logistique dilanbagaw walasa ka fɛnw feereli cakɛda modɛliw bɛɛ lajɛlen dilan. Nin sigida ninnu bɛ se ka kɛ sababu ye ka ɲɛjirali kɛ, ka kɛ sababu ye ka fɛn dilannikɛlaw dɛmɛ u ka se ka tiɲɛniw nɔfɛkow kɔrɔbɔ minnu bɛ se ka kɛ ani ka jaabi fɛɛrɛw ɲɛnabɔ.
Fɛn minnu bɛ bɔ, olu ye fɛnw ye minnu bɛ sɔrɔ waati yɛrɛ la, ɲininiw ɲɛfɔli, ani kunnafoniw minnu bɛ sɔrɔ otomatiki la, ka ɲɛsin fɛnw sɔrɔli koɲɛw ma minnu bɛ se ka kɛ, minnu bɛ se ka kɛ sababu ye ka fɛnw dilancogo ɲɛnabɔ.
Blockchain bɛ baara kɛ i n’a fɔ jatebɔsɛbɛn tilalen min bɛ jagokow sɛbɛn mɔgɔ caman cɛ, ka jatebɔ siraw dilan minnu tɛ se ka ta, minnu bɛ se ka kɛ fɛnw ye minnu bɛ se ka kɛ fɛnw ye. Nin fɛɛrɛ in bɛ nafa jɔnjɔn caman di:
Traceability : A yɔrɔw bɔyɔrɔw ni u minɛcogo yecogo dafalen .
Tamper-proof Records : Sɛbɛn minnu tɛ se ka wuli ka bɔ u nɔ na, olu ye jogo seereyaw ni sariya labatoli ye .
Segu teliya : Otomatiki Smart Contrats bɛ dɔ bɔ wari sarali latɛmɛni na .
Dannaya sabatili : Yecogo jɛlen bɛ sɔsɔliw dɔgɔya ani ka jɛkafɔ ɲɛ .
Waleya ɲɛtaa bɛ taabolo sigilen dɔ de wajibiya min bɛ waridon ni nafa sɔrɔli balansi ka sɔrɔ ka sekow jɔ walasa ka ɲɛtaa sɔrɔ sini. Nin hukumu in bɛ bilasirali waleyali di porozɛw jateminɛni kama, ka ɲɛsin yiriwali dakunw ma, ani ka sabatili kuntaalajan sabati.
Mɛtɛrɛ jɔnjɔnw walasa ka fɛn dilanni fɛɛrɛw nafolodonniw jateminɛ:
Capex vs. Opex Savings : Laɲini min bɛ kɛ ka tɛmɛ 20% kan san 3 kɔnɔ .
MTTR dɔgɔyali : Sumanikɛlanw jɔli dɔgɔyali ka tɛmɛn ladonni kofɔlenw kan .
Scrap rate dɔgɔyali : Jogoɲumanya yiriwali hakɛ ani bɔgɔ dɔgɔyali hakɛ jateminɛ .
Energy Cost Avoidance : Jatebɔ kɛ ka bɔ fanga sɔrɔcogo ɲuman na .
Aw bɛ ladilikan di ka baara kɛ ni net present value (NPV) misaliw ye ni san 5 horizons ye walasa ka jatebɔ kɛ fɛɛrɛ kuraw sɛgɛsɛgɛli ni u sɛgɛsɛgɛli nafaw kan waati kɔnɔ.
Dakun fɔlɔ : waleyali fɔlɔ (kalo 3-6) .
Deploy on Single Production Line .
Aw ye aw sinsin kunnafoniw lajɛli kan ani dantigɛli jatebɔ kan .
Aw bɛ basigi jateminɛw ni ROI sumanikɛcogo sigi sen kan .
Dakun 2nan : sɛgɛsɛgɛli ni ɲɔgɔnfaamu (kalo 6-12) .
A ka bon ka se a kɛrɛfɛ fɛnw dilanni siraw ma .
Aw bɛ jɛ ni ERP ni MES sitɛmuw ye minnu bɛ yen .
Kɔnɔna dɔnniyaw ni kalan bolodalenw labɛn .
Dakun 3nan : Baarakɛda labɛnni (kalo 12-24) .
Sosiyete bɛɛ ka waleyali .
A bɛ se ka filaninw ni blockchain seko ni dɔnko fara ɲɔgɔn kan .
Fɛɛrɛw tigɛ ka taa a fɛ .
Modular hardware design bɛ se ka kɛ sababu ye ka plug-and-play sensor integration ani easy system upgrades sɔrɔ ni fɛn caman yera ɲɔgɔn na. Porozɛ APIw bɛ seko kura don ɲɔgɔn na walasa u ka se ka sɔrɔ.
Ka sariyaw da wulilenw ta i n’a fɔ OPC UA, o bɛ feerekɛlaw bali ka don ani ka bɛn ni fɛɛrɛ kuraw yiriwali ye sini, ka nafolodonni nafa kuntaalajan lakana ka sɔrɔ ka sɛgɛsɛgɛli kɛcogo caman mara. San 2025 fɛn dilanni jiginni bɛ cogoyaw ni gɛlɛyaw jira minnu ma deli ka kɛ fɔlɔ. Baarakɛda minnu bɛ AI ka jɛɲɔgɔnya, otomatiki hakilitigiw, ani fɛnw dilancogo sabatili kunbɛn, olu bɛna nafa sɔrɔ ɲɔgɔndan sabatili la, k’a sɔrɔ minnu bɛ to kɔfɛ, olu bɛ farati minnu bɛ ka bonya suguya nafabaliya la. Edge computing, adaptive robotics, ani data-driven decision making (daɲɛw labɛnni) ka ɲɔgɔn sɔrɔ, o tɛ siniko ye min bɛ yɔrɔ jan na, nka o ye tiɲɛ ye min bɛ teliya ka kɛ tiɲɛ ye, min bɛ izini ɲɔgɔndan caman sɛmɛntiya. Ɲɛtaa b’a ɲini ka tɛmɛ porozɛ pilotiw kan walasa ka waleyali sigi senkan, min bɛ dɛmɛ ni modulu architectures ani clear ROI frameworks ye. Ɲininkali tɛ kɛ tugun ka nin fɛɛrɛ ninnu ta, nka u bɛ se ka don teliya la ani cogo ɲuman na walasa ka suguya sɔrɔcogo minɛ ka sɔrɔ ka se ka muɲuli kɛ ka ɲɛsin tiɲɛni nataw ma.
ROI jate ni fɛntigiya musaka bɛɛ lajɛlen (capex, opex, kalan) ye tɔnɔ hakɛlamaw kan i n’a fɔ jɔli dɔgɔyali, fɛn tiɲɛnenw hakɛ dɔgɔyali, ani fanga dɔgɔyali. Aw ye aw sinsin jateminɛw kan i n’a fɔ MTTR dɔgɔyali (30-50% cogoya), scrap rate ɲɛtaa, ani fanga musaka dɔgɔyali. Aw bɛ NPV misaliw kɛ minnu ka san 5 kɔnɔna na ani laɲini nafa minnu bɛ tɛmɛ 20% kan san 3 kɔnɔ. Ruihua Hardware ka IoT platform bɛ Unified Analytics dashboardw di minnu bɛ nin baarakɛcogo jiralan jɔnjɔnw nɔfɛ, o bɛ kɛ sababu ye ka ROI sumanikɛcogo tigitigi kɛ i ka otomatiki fɛɛrɛw kɔnɔ.
A daminɛ ni kunnafonidi-sɛbɛnba ye min bɛ se ka don ɲɔgɔn na walasa ka jɛɲɔgɔnya yɔrɔw ni kunnafonidilanw taabolo dɔn. Deploy edge gateways minnu bɛ API standardiséw bɔ kɛnɛ kan i n’a fɔ OPC UA ka ɲɛsin ɲɔgɔndan ma min tɛ se ka kɛ. Middleware solutions (Med Middleware Solutions) labɛn walasa ka senfɛ-seereya kunnafoniw ni ERP/MES sitɛmuw kɛ ɲɔgɔn fɛ. Ruihua Hardware’s Edge Controllers bɛ API doncogo seko jɔlenw jira ani ka baara kɛ ni MES/ERP sitɛmuw ye minnu bɛ yen, ka yecogo kelen di baarakɛcogo ni jago siratigɛ la k’a sɔrɔ a ma ɲini ka fɛnsɔrɔsiraw labɛn ka dafa.
Aw bɛ baara kɛ ni AI modɛliw ye minnu bɛ se ka baara kɛ ni fanga ye, minnu dabɔra izini baarakɛminɛnw kama ani Edge Hardware ni GPU minnu fanga ka dɔgɔn, olu deployi walasa ka fanga sɔrɔli dɔgɔya. AI inference baara gɛlɛnw boloda lɛrɛw kɔnɔ minnu tɛ kɛ waati kɔnɔ ni kuran hakɛ dɔgɔyara. Aw bɛ fanga maracogo hakilitigiw waleya minnu bɛ AI baarakɛcogo ɲininiw bɛn ni yɔrɔ bɛɛ lajɛlen ta ye. Ruihua Hardware ka Edge Controllers bɛ GPU fɛɛrɛw ni baarakɛcogo hakilitigiw don a kɔnɔ walasa ka fanga tacogo dɔgɔya ni 15-20% ye ka sɔrɔ ka AI baarakɛcogo sabati.
Aw bɛ a daminɛ ni faratiw jateminɛ ye walasa ka yɔrɔ kolomaw ni yɔrɔ kelenw dantigɛliw dɔn. Aw bɛ se ka fɛn dilanbaga filananw sɔrɔ minnu bɛ jogoɲumanya ni sariya labatoli sariyaw dafa ni jateminɛ kɛcogo gɛlɛnw ye. Aw bɛ kɔpi feerelaw don sannifeere siraw la ni bɛnkansɛbɛn fila ye ani ka baarakɛcogo jateminɛw sigi sen kan tuma bɛɛ. Jɛɲɔgɔnyaw mara kumaɲɔgɔnya taabolo fɛ ani komandi bilali waati ni waati. Nizɛri filaninw ka fɛɛrɛbɔ bɛ se ka fɛnw dilancogo siratigɛw ladege walasa ka aw ka feerelikɛlaw ka fɛn caman sɛnɛcogo ɲuman fɛɛrɛ ɲuman sɔrɔ ani ka se ka fɛn dɔw dɔn minnu bɛ se ka kɛ sani u ka nɔ bila baarakɛcogo la.
Aw bɛ aw ka baarakɛcogo kɔrɔtɔlen kɛcogo ɲɛfɔlenw kɛ ka kɔn o ɲɛ: Aw bɛ minɛn minnu bananen don, aw bɛ olu fara ɲɔgɔn kan joona walasa ka lakana faratiw bali walima ka tiɲɛni wɛrɛw kɛ. Aw bɛ ladonni baarakɛlaw ci ni u yɔrɔw ye minnu wajibiyalen don ka da AI sitɛmu ka dɛsɛ kofɔlen kan. Baara kɛ ni backup production lines walima baarakɛcogo wɛrɛw ye ka sɔrɔ ka ko ɲɛnabɔ. Ruihua Hardware ka marako ɲɛfɔli siratigɛ la, a bɛ dɛsɛcogo kɛrɛnkɛrɛnnenw dɔnni di ani ka yɔrɔw lisɛli fɔ minnu bɛ se ka kɛ, o bɛ kɛ sababu ye ka ladonni jɛkuluw dɛmɛ u ka se ka jaabi di ni tiɲɛni ye ani ka MTTR dɔgɔya ni 30-50% ye.
