Views: 4 Author: Nyatakakadzraɖoƒe ƒe Nuŋlɔla Ta Ɣeyiɣi: 2025-09-11 Dzɔtsoƒe: Teƒe
Nuwɔwɔ ƒe dɔwɔwɔ ƒe gazazã ƒe gazazãwo ƒe gazazãwo nye biliɔn geɖe ƒe sia ƒe, eye dɔwɔnu siwo ŋu womewɔ ɖoɖo ɖo o ƒe kpododonuwo gblẽa nu le nusiwo wowɔ ŋu eye woɖea viɖekpɔkpɔ ƒe vovototowo dzi kpɔtɔna. Smart manufacturing solutions naa mɔnu si ŋu kpeɖodzi le be woaɖe nusiwo gblẽa nu le ame ŋu siawo siwo xɔa ga geɖe dzi akpɔtɔ ŋutɔ to numekuku siwo wowɔna le nyagblɔɖi me, ŋkuléle ɖe wo ŋu le ɣeyiɣi ŋutɔŋutɔ me, kple wo ɖokuiwo wɔwɔ le wo ɖokui si me.
Mɔfiame sia si me kɔ la naa mɔfiame si woawɔ afɔɖeɖe ɖesiaɖe na dɔwɔƒea dzikpɔlawo be woatsɔ awɔ adzɔnuwo wɔwɔ ƒe mɔ̃ɖaŋununya siwo me nunya le siwo ɖea ɣeyiɣi si ŋu womewɔ ɖoɖo ɖo o dzi kpɔtɔna. Tso dodokpɔ gbãtɔ dzi va ɖo dɔwɔwɔ bliboe dzi la, àsrɔ̃ alesi woawɔ IoT sensorwo, dijitaal venɔviwo, kple gɔmesese siwo AI ʋuna ŋudɔ atsɔ atrɔ wò nuwɔwɔ ƒe anyigba wòazu dɔwɔwɔ si te ŋu nɔa te ɖe nɔnɔme sesẽwo nu, si wɔa dɔ nyuie.
Nuwɔwɔ ƒe anyidzedze tsi tre ɖi na tɔtrɔ ɖesiaɖe si ŋu womewɔ ɖoɖo ɖo o si ɖea nuwɔwɔ ƒe nuwɔna dzi kpɔtɔna wu ŋutete si ŋu wowɔ ɖoɖo ɖo. Nusiwo doa kplamatse nu siawo tsoa dɔwɔnuwo ƒe kpododonu, ɣeyiɣi didi ƒe tɔtrɔɣiwo, woƒe dɔwɔwɔ ƒe nyonyome ƒe nudidiwo, kple dɔwɔlawo ƒe ɣeyiɣi siwo me womewɔa naneke le o le mɔ̃ɖaŋunyawo me gbɔ.
Nuwɔwɔ ƒe dɔwɔwɔ ƒe gazazã gblẽa ga biliɔn geɖe na adzɔnuwo wɔlawo le dɔwɔƒewo katã me. Ganyawo ƒe ŋusẽkpɔɖeamedzi keke ta wu nusiwo bu enumake va ɖo ɣeyiɣi si wotsɔ wɔa dɔe gaƒoƒo geɖe wu, nusiwo woatsɔ awɔ dɔe kabakaba, kple tohehe siwo woate ŋu ahe na asisiwo ɖe nudɔdɔ siwo wohe ɖe megbe ta.
Bu wò ɣeyiɣi si nàtsɔ awɔ dɔe ƒe gazazãwo ŋu to mɔfiame sia zazã me: ɣeyiɣi si woatsɔ awɔ dɔe (gaƒoƒowo) × dɔwɔlawo ƒe agbɔsɔsɔ × mɔ̃a ƒe gaƒoƒo ƒe gazazã . Le ʋu ƒe ka si wozãna ɖaa si me dɔwɔla 10 siwo xɔa dɔlar 25/gaƒoƒo kple dɔwɔnu siwo ƒe home nye dɔlar 200/gaƒoƒo le la gome la, ɣeyiɣi si woatsɔ awɔ dɔ le ɣeyiɣi ɖesiaɖe me ƒe home nye dɔlar 450 le nusiwo bu tẽ me.
Wɔ Pareto ƒe ɣeyiɣi si me woawɔ dɔ le ɣeyiɣi si me womewɔa dɔ o ƒe nudzɔdzɔwo be woatsɔ ade dzesi nusiwo gbɔ wòtso ƒe 20% le nusiwo gbɔ wòtso ƒe 80% me. Nusiwo gbɔ wòtsona zi geɖe dometɔ aɖewoe nye bearing ƒe kpododonuwo, tsi ƒe sisi, sensor ƒe dɔmawɔmawɔ nyuie, kple ɖoɖowɔɖi ƒe vodadawo.
The Xexeame katã ƒe smart manufacturing asi ɖo dɔlar biliɔn 349.81 le ƒe 2024 me, si ɖe alesi gbegbe dɔwɔwɔ le afɔku me le afɔku me fia. Ruihua Hardware ƒe advanced precision sensors na be adzɔnuwo wɔlawo te ŋu ɖoa nusiwo bu ƒe nyateƒetoto si de ŋgɔ wu gbɔ to ŋkuléle ɖe nɔnɔme vevi siwo gblɔa dɔwɔnuwo ƒe gbegblẽ ɖi hafi kpododonu dzɔna ŋu, si naa nuxlɔ̃ame ƒe ŋutete siwo ɖeke mesɔ kplii o.
Dɔ |
Ɣeyiɣi si woatsɔ awɔ dɔ le ɣeyiɣi si me womewɔa dɔ o le mama dedie nu/gaƒoƒo . |
|---|---|
Ʋuwo . |
Dɔlar 450-850 |
Elektrɔnikmɔ̃wo . |
$300-600 . |
Nuƒlelawo ƒe Nuwo . |
$200-400 . |
Ne wowu gazazã ƒe agbɔsɔsɔme nu la, afɔɖeɖe si kplɔe ɖo bia be woaɖe gɔmesese siawo gɔme ɖe ŋgɔyiyi ƒe taɖodzinu siwo ŋu woate ŋu awɔ nane le ŋu.
Trɔ ɣeyiɣi si woatsɔ awɔ dɔe ƒe gɔmesesewo wòazu taɖodzinu siwo me nunya le siwo ʋãa ŋgɔyiyi si woate ŋu adzidze le wò nuwɔwɔ ƒe nɔnɔme me. Taɖodzinu Nyuiwo Da sɔ kple taɖodzinu didiwo kple dɔwɔwɔ ƒe ɣeyiɣikɔntabubu ŋutɔŋutɔ siwo wotu ɖe mɔ̃ɖaŋununya ƒe dzadzraɖo fifia dzi.
Taɖodzinu tɔxɛwo ɖoa taɖodzinu na kpododonu ƒe nɔnɔme tɔxɛwo, abe 'Ðe dɔwɔnu siwo ŋu womewɔ ɖoɖo ɖo o ƒe kpododonuwo dzi kpɔtɔ 25% le ɣleti 12 me.' Esia ƒe nyateƒetoto na be woate ŋu ama nunɔamesiwo ƒe mama kple dzidzedzekpɔkpɔ ƒe xexlẽdzesi siwo me kɔ.
Nusiwo woate ŋu adzidze tso eme Center le dɔwɔnuwo ƒe dɔwɔwɔ bliboa ŋu (OEE), wobu akɔnta be: (Availability × Performance × Quality) . Gɔmedzedze OEE dzidzedze naa gɔmeɖoanyi na ŋgɔyiyi ƒe ŋgɔyiyi ƒe ŋgɔyiyi kple ROI ƒe kpeɖodzi.
Taɖodzinu siwo gbɔ woate ŋu aɖo la sɔ kple xɔtuɖaŋu ƒe ŋutete siwo li fifia, siwo dometɔ aɖewoe nye PLC ƒe sɔsɔ, network ƒe mɔ̃ɖaŋununya, kple dɔwɔlawo ƒe mɔ̃ɖaŋununya ƒe ŋutetewo. Zi geɖe la, taɖodzinu siwo nye adãwɔwɔ fũu akpa ƒe agbagbadzedze hea dɔa ƒe megbetsitsi kple gazazã ƒe agbɔsɔsɔ si gbɔ eme vɛ.
Taɖodzinu siwo sɔ la doa ka kple asitsatsa me tsonu tẽ abe ga si woatsɔ aɖo ɖe amewo ƒe ŋgɔyiyi le game dzi, ga si wozãna ɖe ga ŋu dzi ɖeɖe kpɔtɔ, alo asisiwo ƒe dzidzemekpɔkpɔ ƒe nyonyo ene. Ðoɖo sia nana wokpɔa egbɔ be dɔdzikpɔlawo doa alɔe eye wokpɔa ga si nɔa anyi ɖaa.
Nu vevi siwo woɖona ɖe ɣeyiɣi ŋu la ɖoa ɣleti etɔ̃ ƒe dzɔdzɔmenuwo me dzodzro ƒe teƒewo hena ŋgɔyiyi ƒe dodokpɔ kple nusɔsrɔ̃ ƒe ɖɔɖɔɖo. The 10.8% ƒe sia ƒe ƒe dzidziɖedzi le adzɔnuwo wɔwɔ ƒe kɔmpiuta dɔwɔɖoɖowo zazã me ɖe asi ƒe ŋusẽ si le asi kpem ɖe ɖoɖo siawo ŋu fia.
Abe alesi ame tsitsi aɖe Ruihua Hardware Engineer ɖe eme ene la: 'Míaƒe asisiwo ɣesiaɣi ɖoa 15-20% OEE ƒe ŋgɔyiyi le ɣleti ade me tso esime míeɖo míaƒe dɔwɔƒe-ŋgɔgbe IoT edge modules, akpe na ɣeyiɣi ŋutɔŋutɔ me nukpɔkpɔ ɖe dɔwɔnuwo ƒe dɔwɔwɔ ƒe ɖoɖowo kple míaƒe proprietary nyagblɔɖi algorithms be wu standard solutions.'
Ne woɖo taɖodzinu siwo me kɔ ɖo la, mɔ̃ɖaŋununya siwo sɔ tiatia kple dɔwɔwɔ ƒe hadɔwɔlawo va zua akpa vevi si kplɔe ɖo.
Smart Manufacturing ƒe dzidzedzekpɔkpɔ nɔ te ɖe mɔ̃ɖaŋununya siwo wɔa ɖeka kple ɖoɖo siwo li nyuie la tiatia dzi esime wole dzidziɖedzi ƒe mɔnu siwo woate ŋu akeke la nam. Nu veviawo dometɔ aɖewoe nye IoT sensorwo, edge gateways, digital twins, AI-driven predictive analytics, kple cloud-based MES/ERP integration.
Digitál twins wɔa virtual replicas of physical processes, si wɔnɛ be wowɔa simulation kple optimization si me nuwɔwɔ ƒe tɔtɔ aɖeke mele o. Kpɔɖeŋu siawo gblɔa dɔwɔnuwo ƒe nuwɔna ɖi le dɔwɔwɔ ƒe nɔnɔme vovovowo me, si doa alɔ beléle na ɖoɖowɔwɔ do ŋgɔ ƒe ɖoɖowɔɖi.
Predictive beléle na leverages AI algorithms be woagblɔ dɔwɔnuwo ƒe kpododonuwo hafi woava. Mɔ̃ɖaŋununya ƒe kpɔɖeŋuwo dzroa sensor data patterns me be woatsɔ ade dzesi nusiwo gblẽna le ame ŋu ƒe nɔnɔme siwo amegbetɔ ƒe dɔwɔlawo mekpɔna o.
Da amesiwo ate ŋu ava zu hadɔwɔlawo kpɔ to dzidzenu siwo ŋu kpeɖodzi le zazã me: Asi ƒe gomekpɔkpɔ le kplɔlawo ƒe gomekpɔkpɔ me, ɖekawɔwɔ ŋuti nunya, kple kpekpeɖeŋu blibo si woatsɔ awɔ dɔe le dɔwɔwɔ vɔ megbe. Egbɔkpɔnu ŋgɔgbetɔwo dometɔ aɖewoe nye Ruihua hardware na sensor network siwo me kɔ kple turnkey integration services, . Siemens for Digital Twin Platforms , Microsoft Azure na Alilikpo me Dɔwɔƒewo, kple SAP na ERP ƒe ƒoƒo ɖekae ƒe ŋutetewo.
Nudzrala |
Nugbadza |
Ŋusẽ Gbãtɔ . |
Dɔwɔwɔ ƒe ɣeyiɣiɖoɖo . |
|---|---|---|---|
Ruihua ƒe xɔtunuwo . |
IoT Suite blibo . |
Sensor Networks & Integration . |
Ɣleti 2-4 . |
Siemens . |
MindSphere . |
Digitál venɔvi . |
Ɣleti 6-12 . |
Microsoft . |
Azure IoT . |
Alilikpo me numekukuwo . |
Ɣleti 3-6 . |
SAP . |
Adzɔnuwo wɔwɔ . |
ERP ƒe ƒoƒo ɖekae . |
Ɣleti 9-18 . |
GE . |
Predix . |
Dɔwɔƒewo ƒe AI . |
Ɣleti 6-9 . |
The Subɔsubɔdɔwo ƒe akpaa tsina le 13% CAGR , si tea gbe ɖe asixɔxɔ vevi si le dɔwɔwɔ ƒe hadɔwɔla bibiwo ŋu dzi. Ruihua hardware ɖe dzesi abe alesi wodi be woawɔ ɖeka kple ƒoƒo ɖekae ƒe hadɔwɔla, si naa ruggezed sensors kple superior te ŋu nɔa anyi didina eye wòna blibo turkey connewy services si wɔa dɔ kabakaba ŋutɔ le dɔwɔwɔ ƒe ɣeyiɣiɖoɖowo me esime wòɖea dɔwɔwɔ ƒe afɔkuwo dzi kpɔtɔna.
Mɔ̃ɖaŋununya tiatia wu enu, dodokpɔdɔ si ŋu woƒe susu le dodo ɖe ŋgɔ ɖea asixɔxɔ fiana esime wòɖea afɔkuwo ƒe agbɔsɔsɔ dzi kpɔtɔna.
Dodokpɔ ƒe ɖoɖo si wowɔ le aɖaŋu me ɖo kpe aɖaŋuwɔwɔ ƒe susu siwo me nunya le dzi esime wole ŋgɔyiyi siwo woate ŋu adzidze la nam le kwasiɖawo me tsɔ wu be woawɔe ɣleti geɖe. Lé fɔ ɖe teƒe siwo kpɔa ŋusẽ ɖe ame dzi ŋutɔ le afisiwo sensor zazã ate ŋu aɖe viɖe ŋutɔŋutɔwo afia kaba le.
Afɔɖeɖe 1: Tia Bottleneck Production Line si me nànɔ teƒe siwo womewɔ ɖoɖo ɖe eŋu o siwo ŋu womewɔ ɖoɖo ɖo o edziedzi la me tom. Zi geɖe la, lãmenugbagbevi siwo ƒe lolome mede o, siwo ƒe lolome mede o, naa dodokpɔ ƒe nɔnɔme nyuiwo le woƒe dɔwɔwɔ ƒe ɖoɖo sesẽawo kple ŋgɔyiyi ƒe ŋutete ɖedzesi aɖe ta.
Afɔɖeɖe 2: De dzesi minimal sensor sets siwo dometɔ aɖewoe nye vibration monitors, dzoxɔxɔ probes, kple power mitawo to Ruihua Hardware ƒe dɔwɔƒe-ŋgɔgbevi ƒe plug-and-play kuxiwo gbɔ kpɔnu zazã me. Mɔ̃ deŋgɔ siawo mehiã be woawɔ nu ɖe wo ŋu hafi aɖo wo ɖe teƒea o eye woadze nyatakaka siwo ŋu woate ŋu awɔ dɔ le la wɔwɔ gɔme enumake kple nyateƒetoto kple kakaɖedzi si de ŋgɔ wu.
Afɔɖeɖe 3: Do ka kple sensorwo ɖe alilikpo me numekuku dashboards to Azure IoT alo AWS IoT Core Platforms. Ɣeyiɣi ŋutɔŋutɔ me nuxlɔ̃amewo nana dɔwɔlawo nana nya siwo le ŋgɔ yim hafi wodzudzɔa nuwɔwɔ.
Afɔɖeɖe 4: Wɔ kwasiɖa 4-6 ƒe dzidzedze ƒe ɣeyiɣi siwo lé gɔmedzedze ƒe OEE metrics, emegbe nàtsɔ dɔwɔwɔ megbe dɔwɔwɔ asɔ kple wo nɔewo. Ŋlɔ ŋgɔyiyi siwo katã wowɔ na habɔbɔ ƒe kadodo si keke ta wu la ɖi.
Zi geɖe la, yameʋukulawo kabakaba ɖoa 5-15% ƒe ɣeyiɣi si woatsɔ awɔ dɔe dzi ɖeɖe kpɔtɔ le ƒe etɔ̃ gbãtɔ me, si naa ROI ƒe taɖodzinu sẽŋu aɖe hena dɔwɔwɔ si keke ta.
Ame ɖeka si ƒe dzi dze eme Ruihua Hardware ƒe asisiwo ƒe nyatakakawo: 'Míaƒe dodokpɔdɔ si me Ruihua ƒe sensor suite ɖe fli ƒe nutsitsi dzi kpɔtɔ 18% le kwasiɖa ene pɛ ko me, si wu mɔkpɔkpɔwo eye wòda asi ɖe gadodo ƒe nya la dzi hafi tsɔ eɖokui na be yeaɖe ye ɖokui afia bliboe le dɔwɔƒe bliboa me.'
Metrik . |
Do Ŋgɔ na Yameʋukulaa . |
Le yameʋukulaa megbe . |
Ŋgɔyiyi |
|---|---|---|---|
OEE . |
72% . |
81% . |
+9% . |
Dzudzɔ siwo ŋu womewɔ ɖoɖo ɖo o . |
18/kwasiɖa . |
12/kwasiɖa . |
-33% . |
Mttr . |
45 min . |
28 min . |
-38% . |
Pilot me tsonu siwo kpɔ dzidzedze la hea ŋusẽ vɛ hena egbɔkpɔnu ƒe dzidziɖedzi blibo le adzɔnuwo wɔwɔ ƒe dɔwɔƒe bliboa me.
Yameʋukulawo ƒe dzidzedzekpɔkpɔ keke ɖe enu bia be woawɔ ɖoɖo ɖe nuwo ƒe tsɔtsɔme ŋu le ɖoɖo nu siwo léa nyatakakawo ƒe blibonyenye me ɖe asi esime wole dɔwɔwɔ ƒe ŋusẽkpɔɖeamedzi dzim ɖe edzi. Xɔtuɖaŋu siwo woɖo ɖe ɖoɖo nu kpɔa egbɔ be wowɔa dɔ ɖekae esime sensor networkwo le dzidzim ɖe edzi le nuwɔwɔ ƒe mɔnu vovovowo me.
Ðo nyatakakawo ƒe xɔtuɖoɖo ɖe ɖoɖo nu le edge-to-cloud-to-mes/ERP mɔ siwo doa alɔ scalability si seɖoƒe meli na o megbe. Nyatakakawo ƒe nɔnɔme siwo mewɔa tɔtrɔ o kple kadodo ƒe ɖoɖowo xea mɔ na ƒoƒo ɖekae ƒe kuxiwo le kekeɖenu ƒe akpawo me.
Wɔ Digital Twins si me kɔ nyuie la ŋudɔ le mɔ̃ blibowo ƒe nɔnɔmetatawo wɔwɔ me tsɔ wu be woawɔ mɔ̃ ɖekaɖekawo. System-level models siawo srɔ̃a dɔwɔwɔ ƒe tɔtrɔwo hafi woɖoa wo ɖe ŋutilã me, woɖea dɔwɔwɔ ƒe afɔkuwo dzi kpɔtɔna eye wowɔa nunɔamesiwo mama nyuie wu.
To AI-Driven Scheduling Algorithm siwo ɖea tɔtrɔɣiwo dzi kpɔtɔna to nuwɔwɔ ƒe ɖoɖowɔwɔ ɖe ɖoɖo nu si me nunya le me la ɖe go. Nuɖoanyi siawo kua ŋutinya me kpɔɖeŋuwo kple ɣeyiɣi ŋutɔŋutɔ me nɔnɔmewo me be woatsɔ awɔ adzɔnuwo ƒe sisi nyuie wu.
Ðo ŋgɔyiyi ƒe ŋgɔyiyi ƒe mɔ̃wo dzi kpɔkpɔ KPI ƒe dɔwɔwɔ ƒe dzodzo kple hehexɔƒe ƒe nyagblɔɖi ƒe kpɔɖeŋuwo ƒe ɣleti etɔ̃ ɖesiaɖe. Mɔ̃ɖaŋununya sɔsrɔ̃ ƒe mɔnuwo bia be woawɔ asitɔtrɔ le wo ŋu edziedzi be woalé nusiwo sɔ pɛpɛpɛ me ɖe asi ne dɔwɔnuwo le tsitsim eye dɔwɔwɔ ƒe nɔnɔmewo le tɔtrɔm.
Wɔ nyatakakawo ƒe dedienɔnɔ sesẽ to IoT mɔ̃a ƒe nyateƒetoto, kadodomɔnu siwo wotsɔ nya ɣaɣlawo ŋlɔe, kple mɔɖeɖe ƒe ɖoɖo siwo wotu ɖe akpa dzi dzi. Dedienɔnɔ ƒe ɖoɖowo kpɔa nunya ƒe nunɔamesiwo ta esime wole ekpɔm be wowɔ ɖe sewo dzi.
The Wobu akɔnta be smart manufacturing asi ƒe lolome $790.91 biliɔn le ƒe 2030 me ɖe dzidziɖedzi gã si anɔ anyi ɣeyiɣi didi ƒe ŋutete na scalable solutions. Ruihua Hardware ƒe dɔ siwo wowɔ le nudzadzra megbe ƒe nubabla siwo me kɔ la dometɔ aɖewoe nye ɣleti etɔ̃ ɖesiaɖe ƒe ɖoɖoa ƒe lãmesẽ dodokpɔwo, mɔ̃ɖaŋununya ƒe yeyewɔwɔ do ŋgɔ, kple mɔ̃ɖaŋununya ƒe kpekpeɖeŋu si woɖo ɖi, si ana woakpɔ egbɔ be wowɔ dɔ nyuie wu le mɔ̃ɖaŋununya ƒe agbenɔɣi katã kple kakaɖedzi si ɖeke mesɔ kplii o.
Scaled dɔwɔwɔwo kple Ruihua hardware solutions zi geɖe ɖoa 20-30% OEE ƒe ŋgɔyiyiwo esime woɖea beléle na ga ƒe gazazãwo dzi kpɔtɔna 25-35% to deŋgɔ nyagblɔɖi nudede nyawo me. Smart Manufacturing Solutions naa dɔwɔnu sẽŋuwo wɔlawo be woaɖe dɔwɔwɔ ƒe anyidzedze si xɔa ga geɖe ɖa to numekuku siwo wogblɔ ɖi, ɣeyiɣi ŋutɔŋutɔ me ŋkuléle ɖe nu ŋu, kple automated optimization me. To mɔnu sia si wowɔ ɖe ɖoɖo nu dzi—tso gazazã ƒe dodokpɔ gbãtɔ dzi va ɖo dɔwɔwɔ bliboe dzi—nutowo dzikpɔlawo ate ŋu awɔ OEE ƒe ŋgɔyiyi gã aɖe esime wole dɔ siwo te ŋu nɔa te ɖe nɔnɔme sesẽwo nu, siwo sɔ na etsɔme la tum ɖo.
Nu vevitɔ si ana woakpɔ dzidzedzee nye be woadze egɔme kple dodokpɔdɔ siwo ŋu woƒo nu tsoe siwo ɖea dziɖuɖu kabakaba fiana, emegbe wodzidzea wo ɖe ɖoɖo nu kple mɔ̃ɖaŋununya siwo ŋu kpeɖodzi le kple hadɔwɔla bibiwo. Ruihua Hardware ƒe sensor ƒe kuxiwo gbɔ kpɔnu siwo me kɔ nyuie kple ƒoƒo ɖekae ŋuti nunya kpena ɖe adzɔnuwo wɔlawo ŋu le tɔtrɔ ƒe mɔzɔzɔ sia me kple kakaɖedzi, si naa nusiwo woate ŋu adzidze si wua dɔwɔƒewo ƒe dzidzenuwo ɣesiaɣi eye woɖoa kpe gadede asi me yi edzi le aɖaŋudɔwɔwɔ ƒe ŋutetewo me dzi.
Zi geɖe la, yameʋukula si ƒe susu nɔa nu ŋu xɔa kwasiɖa 4-6 tso sensor ɖoɖo dzi va ɖo emetsonu gbãtɔwo dzi. Numiemie bliboa ƒe ʋuʋu tso ɣleti 3 va ɖo 12 le ɖoɖoa ƒe ƒoƒo ɖekae ƒe goglome kple xɔtuɖoɖo siwo li fifia nu. Woate ŋu awɔ Ruihua Hardware ƒe plug-and-play sensor modules ŋudɔ le ŋkeke aɖewo megbe, si ana woate ŋu aɖo kpe nukpɔsusu ƒe kpeɖodzi dzi kabakaba hafi atsɔ eɖokui ana ɖe dɔwɔwɔ gãwo ŋu.
Zi geɖe la, dɔwɔƒewo kpɔa 5-20% ƒe dzidziɖedzi le dɔwɔnuwo ƒe dɔwɔwɔ bliboa me (OEE), si gɔme woɖea ƒe sia ƒe ƒe gazazã dzi ɖeɖe kpɔtɔ si nye 2-8% le nuwɔwɔ ƒe gazazãwo katã me. Fexexe ƒe ɣeyiɣiwo tso ɣleti 6 va ɖo 18 le ɣeyiɣi si wozãna fifia nu. Zi geɖe la, Ruihua Hardware ƒe asisiwo kpɔa 15% OEE ƒe ŋgɔyiyiwo le ɣleti ade me tso míaƒe IoT edge modules zazã me, kple viɖe bubuwo siwo dometɔ aɖewoe nye beléle na wo ƒe gazazãwo dzi ɖeɖe kpɔtɔ kple wo ɖoɖo ɖe game dzi nyuie wu.
Nu vevi siwo dea dzesi nu la dometɔ aɖewoe nye ʋuʋudedi ƒe ŋkuléleɖenuŋu na lãmesẽ, dzoxɔxɔ ŋuti numekukuwo hena dzoxɔxɔ ƒe liƒo, ŋusẽ mitawo hena ŋusẽzazã ŋuti numekuku, kple nusiwo te ɖe wo nɔewo ŋu ƒe sensorwo na dɔwɔnuwo ƒe nɔƒe. Ruihua Hardware ƒe nusiwo dea dzesi nu pɛpɛpɛ la wɔnɛ be woate ŋu awɔ nusiwo bu la nyuie kple xɔtutu sesẽ siwo wowɔ na nuwɔwɔ ƒe nɔnɔme sesẽwo. Sensor bubuwo abe pressure transducers kple flow meters ene naa gɔmesese deto siwo nɔ te ɖe dɔwɔnu tɔxɛ siwo hiã la dzi.
Integration zãa API siwo woɖo ɖe ɖoɖo nu alo titinamɔ̃wo abe OPC UA ene tsɔ tsɔa sensor nyatakakawo ƒua gbe ɖe ERP/MES ɖoɖo siwo li me. Esia wɔnɛ be woate ŋu atrɔ asi le ɣeyiɣi ŋutɔŋutɔ me nuwɔwɔ ƒe ɖoɖowɔɖiwo ŋu eye woawɔ nuxlɔ̃amenya siwo wowɔna le wo ɖokui si evɔ womehiã be woaɖɔli ɖoɖoa bliboe o. Ruihua Hardware naa kadodo ƒe dɔwɔna siwo wotsɔna trɔa asi le nu ŋu siwo kpɔa egbɔ be nyatakakawo ƒe sisi si me kuxi aɖeke mele o le dɔwɔwɔ ƒe mɔ̃ɖaŋununya kple nyatakakamɔnu ƒe ɖoɖowo dome.
Kpɔ tsitretsitsi to hehenana ƒe ɖoɖo siwo me kɔ nyuie me, si me dɔwɔlawo le le yameʋukulawo ƒe aɖaŋuɖoɖo ŋuti nyametsotsowo wɔwɔ me, kple nusiwo woate ŋu akpɔ kple ŋku siwo woate ŋu akpɔ kple ŋku siwo woate ŋu akpɔ kple ŋku. Ele be tɔtrɔwo dzikpɔkpɔ ƒe mɔnuwo nate gbe ɖe alesi mɔ̃ɖaŋununya doa ŋusẽe dzi tsɔ wu be wòaxɔ ɖe amegbetɔ ƒe nunya teƒe. Dze egɔme kple amesiwo lɔ̃na faa xɔa wo kaba, ɖea viɖewo fiana enumake, eye nètua kakaɖedzi ɖo to dɔwɔwɔ vivivi me kple kpekpeɖeŋu si yia edzi kple kadodo si me kɔ tso ame ŋutɔ ƒe viɖewo ŋu.
Wɔ dedienɔnɔ ƒe ɖoɖo vovovowo ŋudɔ siwo dometɔ aɖewoe nye mɔ̃a ƒe ɖaseɖiɖi ƒe ɖaseɖigbalẽwo, nya ɣaɣla tso nuwuwu vaseɖe nuwuwu na nyatakakawo ɖoɖoɖa katã, firmware patch dzikpɔkpɔ edziedzi, kple network segmentation si ɖe IoT traffic ɖe vovo tso dɔwɔƒewo ƒe ɖoɖowo me. Afɔɖeɖe bubuwoe nye be woawɔ ɖoɖo ɖe mɔɖeɖedɔwo ŋu, agbalẽdzikpɔkpɔ ƒe nuŋlɔɖiwo, kple dɔwɔƒea ƒe dedienɔnɔ ƒe dzidzenuwo abe IEC 62443. Zã kadodomɔnu siwo wotsɔ nya ɣaɣlawo ŋlɔe eye nàɖo mɔ̃wo dzikpɔkpɔ ƒe ɖoɖo siwo me kɔ nyuie.
Ẽ, taɖodzinu ɖoɖo ɖe nuwɔwɔ ƒe mɔ̃ ɖeka si ŋu ŋusẽ le si ƒe sensor set si seɖoƒe li na ŋu ate ŋu ana ɣeyiɣi si woate ŋu aɖiɖi ɖe anyi dzi akpɔtɔ le kwasiɖa ʋɛ aɖewo ko me. Dɔwɔwɔ suewo naa nukpɔsusu ƒe kpeɖodzi, dɔwɔlawo ƒe hehexɔxɔ ƒe mɔnukpɔkpɔwo, kple ROI ƒe nyatakaka siwo dzi wozi si doa alɔ gadodo ŋuti nyametsotso siwo keke ta wu. Zi geɖe la, yameʋukulawo kabakaba ɖoa 5-15% ƒe ɣeyiɣi si woatsɔ awɔ dɔe dzi ɖeɖe kpɔtɔ le ƒe etɔ̃ gbãtɔ me, si wɔnɛ be ŋusẽ nɔa anyi na kekeɖenudɔwɔƒe bliboa.
