Nhwɛsoɔ: 19 Ɔkyerɛwfoɔ: Site Editor Bere a wɔde tintimii: 2025-09-11 Mfiase: Beaeɛ
Bere a nneɛma a wɔyɛ no gyae no ma wɔn a wɔyɛ nneɛma no bɔ ka ɔpepepem pii afe biara, na mfiri a wɔanhyɛ da asɛe no ma nneɛma a wɔyɛ no sɛe na ɛma mfaso a wonya no sɛe. Smart manufacturing solutions de ɔkwan a wɔada no adi sɛ wɔbɛtew saa ntwitwiridii a ɛho ka yɛ den yi so kɛse denam nkɔmhyɛ nhwehwɛmu, bere ankasa mu nhwehwɛmu, ne automated optimization so.
Saa akwankyerɛ a ɛkɔ akyiri yi ma adwumayɛbea so ahwɛfoɔ nya anammɔn anammɔn kwan a wɔbɛfa so de mfiridwuma ho nimdeɛ a ɛfa nneɛma a wɔyɛ ho a ɛmma berɛ a wɔde gyae adwumayɛ a wɔnyɛ ho nhyehyɛeɛ no so tew. Efi mfitiaseɛ nhwehwɛmu so kɔsi dwumadie a ɛdi mũ so no, wobɛsua sɛdeɛ wobɛfa IoT sensors, digital twins, ne AI-driven insights adi dwuma de adan wo production floor no ayɛ no adwuma a ɛtumi gyina ano, ɛyɛ adwuma yie.
Bere a wɔde yɛ nneɛma a wɔde yɛ adwuma no gyina hɔ ma gyinabea biara a wɔanhyɛ da a ɛtew nneɛma a wɔyɛ so tew sen tumi a wɔayɛ ho nhyehyɛe. Saa ntwitwiridii yi fi nnwinnade a entumi nyɛ adwuma yiye, bere a wɔde sesa nneɛma a ɛkyɛ, adwuma a wɔsan yɛ no yiye a wɔhwehwɛ, ne bere a adwumayɛfo nyɛ hwee wɔ mfiri ho nsɛm mu.
Bere a nneɛma a wɔyɛ no gyae no ma wɔn a wɔyɛ nneɛma no bɔ ka ɔpepepem pii afe biara wɔ nnwuma nyinaa mu. Sikasɛm mu nkɛntɛnso no kɔ akyiri sen nneɛma a wɔhwere ntɛm ara so na ɛka adwumayɛfo a wɔyɛ adwuma boro so, nneɛma ho ka a wɔbɔ ntɛmntɛm, ne asotwe a wobetumi de ama adetɔfo wɔ nneɛma a wɔde kɔma akyɛ ho.
Fa saa nhyehyɛe yi bu wo bere a wode gyae adwuma no ho akontaa: Bere a wode gyae adwuma ( nnɔnhwerew) × Adwumayɛfo dodow × Mfiri dɔnhwerew biara ho ka . Wɔ kar kwan a wɔtaa de di dwuma a adwumayɛfo 10 nya dɔla 25/dɔnhwerew ne nnwinnade a ne bo yɛ dɔla 200/dɔnhwerew biara fam no, dɔnhwerew biara a wɔde gyae adwuma no bo yɛ dɔla 450 wɔ adehwere tẽẽ mu.
Yɛ Pareto nhyehyeɛ a ɛkyerɛ nsɛm a ɛsisi wɔ bere a wɔde yɛ adwuma no mu de kyerɛ 20% a ɛde ntini ba a ɛde 80% a ɛma nneɛma a wɔyɛ no hwere. Wɔn a wɔtaa di fɔ no bi ne bearing a entumi nyɛ adwuma yiye, nsu a ɛtwetwe, sensor a entumi nyɛ adwuma yiye, ne mfomso a ɛba wɔ nhyehyɛe mu.
No wiase nyinaa smart manufacturing gua no duu dɔla ɔpepepem 349.81 wɔ afe 2024 mu, a ɛkyerɛ sɛnea adwumayɛ kɛse a ɛwɔ asiane mu no da adi. Ruihua Hardware’s advanced precision sensors ma wɔn a wɔyɛ no tumi nya adehwere akyi pɛpɛɛpɛyɛ a ɛkorɔn denam parameters a ɛho hia a ɛkyerɛ sɛ mfiri no bɛsɛe ansa na adi huammɔ a wɔhwɛ so, na ɛma wonya kɔkɔbɔ ntɛm a ɛso bi nni.
Mfididwuma |
Sɛ wɔkyekyem pɛpɛɛpɛ a, Downtime Ka/Dɔnhwerew |
|---|---|
Kar ho adwumayɛ |
$450-850 na ɛyɛ adwuma |
Ɛlektrɔnik mfiri a Wɔde Di Dwuma |
$300-600 na ɛyɛ adwuma |
Nneɛma a Wɔde Di Dwuma |
$200-400 na ɛyɛ |
Bere a wɔawie ɛka dodow a wɔkyerɛ no, anammɔn a edi hɔ ne sɛ wɔbɛkyerɛ saa nhumu ahorow yi ase akɔ nkɔso botae ahorow a wobetumi de adi dwuma mu.
Dane bere a wɔde yɛ adwuma no nhumu kɔ SMART botae ahorow a ɛma nkɔso a wotumi susuw wɔ wo nneɛma a woyɛ no nyinaa mu. Botae ahorow a etu mpɔn kari pɛ wɔ botae ahorow a ɛyɛ aniberesɛm ne bere nhyehyɛe a ɛyɛ nokware a wɔde bedi dwuma a egyina mprempren mfiridwuma ho ahoboa so.
Botaeɛ pɔtee bi de wɔn ani si huammɔdi akwan pɔtee bi so, te sɛ 'Tew mfiri huammɔdi a wɔannyɛ ho nhyehyɛeɛ so 25% wɔ asram 12 mu.' Saa pɛpɛɛpɛyɛ yi ma wotumi de nneɛma a wɔde wɔn adwene si so kyekyɛ ne nkonimdie nsusuiɛ a ɛda adi pefee.
Nea efi mu ba a wotumi susuw no gyina Nnwinnade a Wɔde Di Dwuma Nyinaa So (OEE), a wɔabu akontaa sɛ: (Nea Ɛwɔ Hɔ × Adwumayɛ × Nea Ɛyɛ Pa) . Mfitiaseɛ OEE susudua ma fapem a wɔde bɛdi nkɔsoɔ nkɔsoɔ ne ROI validation akyi.
Botaeɛ a wɔbɛtumi adu ho no ne nnwuma a ɛwɔ hɔ dada no hyia, a PLC a ɛne ne ho hyia, ntwamutam bandwidth, ne adwumayɛfoɔ mfiridwuma ho nimdeɛ ka ho. Mpɛn pii no, mmɔden a wɔbɔ sɛ wɔde botae ahorow a ɛyɛ basabasa dodo no ma adwuma no kyɛ na sikasɛm nhyehyɛe a ɛboro so ba.
Botae ahorow a ɛfa ho no ne nea efi adwumayɛ mu ba te sɛ nneɛma a wɔde kɔma bere ano a wɔbɛma atu mpɔn, nneɛma a wɔtɔn ho ka a wɔbɛtew so, anaasɛ adetɔfo akomatɔyam a wɔbɛma anya nkɔso no wɔ abusuabɔ tẽẽ. Saa nhyehyɛe yi hwɛ hu sɛ adwumayɛfoɔ bɛboa wɔn na wɔanya sika a ɛkɔ so daa.
Nsɛntitiriw a wɔde bere ahyɛ mu no hyehyɛ mmeae a wɔhwɛ nneɛma so wɔ asram abiɛsa biara mu ma nkɔso nhwehwɛmu ne adesua no nteɛso. No 10.8% afe biara nkɔsoɔ wɔ manufacturing software a wɔfa mu no kyerɛ gua so ahoɔden a ɛboa saa nnwuma yi.
Sɛnea Ruihua Hardware mfiridwumayɛfo panyin bi kyerɛkyerɛ mu no: 'Yɛn afɛfo nya OEE nkɔso 15-20% bere nyinaa wɔ asram asia mu bere a wɔde yɛn IoT ano module ahorow a edi kan wɔ nnwuma mu no adi dwuma, esiane bere ankasa a wotumi hu wɔ mfiri adwumayɛ nhyehyɛe ne yɛn ankasa nkɔmhyɛ algorithms a ɛboro ano aduru a ɛyɛ gyinapɛn so nti.\
Sɛ wɔde botaeɛ a emu da hɔ asi hɔ a, mfiridwuma a ɛfata ne ahokafoɔ a wɔde bedi dwuma a wɔbɛpaw no bɛyɛ ɔfa a ɛdi hɔ a ɛho hia.
Smart manufacturing nkonimdi gyina mfiridwuma a wɔpaw a ɛne nhyehyɛe ahorow a ɛwɔ hɔ dedaw no bom a ɛnyɛ den bere a ɛma nkɔso akwan a wotumi sesa so. Nneɛma titiriw no bi ne IoT sensors, edge gateways, digital twins, AI-driven predictive analytics, ne cloud-based MES/ERP integration.
Digital twins yɛ virtual replicas of physical processes, ɛma wotumi yɛ simulation ne optimization a ɛnyɛ production disruption. Saa nhwɛsoɔ yi hyɛ nnwinnadeɛ nneyɛeɛ ho nkɔm wɔ adwumayɛ tebea ahodoɔ mu, na ɛboa nsiesie nhyehyɛeɛ a ɛyɛ nnam.
Predictive maintenance de AI algorithms di dwuma de hyɛ mfiri a ɛdi huammɔ ho nkɔm ansa na aba. Mfiri adesua nhwɛso ahorow hwehwɛ sensor data nhyehyɛe ahorow mu de hu nneɛma a ɛresɛe a nnipa a wɔyɛ adwuma no nhu.
Fa gyinapɛn a wɔada no adi di dwuma de susuw wɔn a wobetumi ayɛ ahokafo ho: gua so kyɛfa akannifo, nkabom ho nimdeɛ, ne mmoa a edi mũ a wɔde ma wɔ dwumadie akyi. Ano aduru a edi kan ne Ruihua Hardware ma sensor ntam nkitahodi a ɛkɔ akyiri ne turnkey nkabom nnwuma, . Siemens ma dijitaal twin platforms , Microsoft Azure ma mununkum nhyehyɛe, ne SAP ma ERP nkabom tumi.
Adetɔnni |
Prama |
Ahoɔden Titiriw |
Bere Nhyehyɛe a Wɔde Di Dwuma |
|---|---|---|---|
Ruihua Nneɛma a Wɔde Yɛ Nneɛma |
IoT Suite a edi mũ |
Sensor Ntrɛwmu & Nkitahodi |
Asram 2-4 na ɛwɔ hɔ |
Siemens na ɔkyerɛwee |
Adwene mu Nneɛma |
Digital Twin a ɛwɔ hɔ |
Asram 6-12 na ɛwɔ hɔ |
Microsoft na ɛwɔ hɔ |
Azure IoT na ɛwɔ hɔ |
Mununkum mu Nhwehwɛmu |
Asram 3-6 na ɛwɔ hɔ |
SAP |
Nneɛma a wɔyɛ |
ERP Nkitahodi |
Asram 9-18 na ɛwɔ hɔ |
GE |
Nnianim asɛm |
Mfiridwuma mu AI |
Asram 6-9 na ɛwɔ hɔ |
No services segment grows at 13% CAGR , a ɛtwe adwene si mfasoɔ a ɛho hia a ɛwɔ ahokafoɔ a wɔn ho akokwa wɔ dwumadie mu. Ruihua Hardware da nsow sɛ ɔhokafo a wɔpɛ sɛ wɔka bom, ɛde sensor ahorow a ɛyɛ den a ɛtra hɔ kyɛ a ɛkorɔn ma na ɛde turnkey nkitahodi nnwuma a ɛkɔ akyiri a ɛma bere nhyehyɛe a wɔde di dwuma no yɛ ntɛmntɛm kɛse bere a ɛtew asiane ahorow a ɛwɔ dwumadie mu no ma.
Mfiridwuma a wɔpaw awie, nhwehwɛmu adwuma a wɔde wɔn adwene asi so a wofi ase no da mfaso adi bere a ɛtew asiane a ɛda adi so no.
Adwuma a wɔde bɛsɔ ahwɛ a wɔde di dwuma ɔkwan pa so di nneɛma a wɔyɛ ho adwene a nyansa wom so bere a ɛde nkɔso a wotumi susuw ma wɔ adapɛn kakraa bi mu sen asram pii mu no. Fa w’adwene si mmeae a ɛwɔ nkɛntɛnso kɛse a sensor a wɔde di dwuma no betumi ada mfaso a wotumi hu adi ntɛmntɛm so.
Anamɔn 1: Paw bottleneck production line a ɛtaa hyia gyinabea ahorow a wɔnyɛ ho nhyehyɛe. Nkwammoaa a wɔde afrafra kɛse, a wɔn dodow sua no taa ma mmeae a eye a wɔde di dwuma wɔ wimhyɛn mu esiane wɔn adwumayɛ nhyehyɛe a ɛyɛ den ne nkɔso kɛse a wobetumi anya nti.
Anamɔn 2: Fa sensor sets a ɛba fam koraa a vibration monitors, temperature probes, ne power mita ka ho di dwuma denam Ruihua Hardware nnwuma-a edi kan plug-and-play ano aduru so. Saa mfiri a ɛkɔ anim yi nhia sɛ wɔtwitwa adwumayɛ mu na wɔde ahyɛ mu na wofi ase yɛ data a wobetumi de adi dwuma ntɛm ara a ɛyɛ pɛpɛɛpɛ na wotumi de ho to so kɛse.
Anamɔn 3: fa sensor ahorow bata mununkum nhwehwɛmu dashboards ho . Fa Azure IoT anaa AWS IoT Core platforms so Bere ankasa mu kɔkɔbɔ bɔ adwumayɛfo amanneɛ wɔ nsɛm a ɛrekɔ so ho ansa na ama wɔagyae nneɛma a wɔyɛ.
Anamɔn 4: Yɛ adapɛn 4-6 susudua berɛ a ɛkyere mfitiaseɛ OEE metrics, afei fa toto dwumadie akyi adwumayɛ ho. Kyerɛw nkɔso a aba nyinaa ma ahyehyɛde no nkitahodi a ɛtrɛw.
Mpɛn pii no, wimhyɛnkafo a wodi nkonim ntɛmntɛm no nya bere a wɔde yɛ adwuma no so tew 5-15% wɔ afe a ɛto so abiɛsa a edi kan no mu, na ɛma ROI ntease a ɛyɛ den ma wɔde di dwuma a wɔatrɛw mu.
Ruihua Hardware adetɔfoɔ bi a n’ani agye bɔ amanneɛ sɛ: 'Yɛn nhwehwɛmu adwuma a ɛne Ruihua sensor suite no tew line gyinabea so 18% wɔ adapɛn anan pɛ mu, ɛboroo nea wɔhwɛɛ kwan no so na ɛmaa sika a wɔde asie no ho asɛm no yɛɛ nokware ansa na yɛahyɛ bɔ sɛ yɛde bedi dwuma koraa wɔ adwumayɛbea no nyinaa mu.'
Metric |
Ansa na Pilot no reba |
Pilot akyi |
Mpuntuo |
|---|---|---|---|
OEE |
72% na ɛwɔ hɔ. |
81% na ɛwɔ hɔ. |
+9% |
Gyinae a Wɔnnyɛ Nhyehyɛe |
18/dapɛn |
12/dapɛn |
-33% na ɛwɔ hɔ. |
MTTR na ɛyɛ adwuma |
45 min |
28 min |
-38% na ɛwɔ hɔ. |
Nhwehwɛmu a ɛdi mu aba no ma ahoɔden ma ano aduru scaling a ɛkɔ akyiri wɔ adwinnan adwuma no nyinaa mu.
Pilot nkonimdi a wɔbɛtrɛw mu no hwehwɛ sɛ wɔfa nhyehyɛe a wɔde yɛ scaling akwan a ɛma data no mudi mu kura bere a ɛma adwumayɛ mu nkɛntɛnso kɛse. Standardized architectures hwɛ ma adwumayɛ a ɛkɔ so daa bere a sensor networks nyin wɔ production lines pii so.
Standardize data architecture akyi edge-to-cloud-to-MES/ERP akwan a ɛboa scalability a anohyeto nni mu. Data nhyehyɛe ne nkitahodi nhyehyɛe a ɛkɔ so daa no siw nkabom nsɛnnennen ano wɔ ntrɛwmu fã ahorow mu.
Fa dijitaal twins a ɛyɛ pɛpɛɛpɛ a ɛyɛ nneɛma a wɔyɛ nyinaa ho mfonini di dwuma sen sɛ wode mfiri ankorankoro bedi dwuma. Saa nhyehyeɛ-gyinabea nhwɛsoɔ yi yɛ nsakraeɛ a ɛba wɔ nhyehyɛeɛ mu ansa na wɔde adi dwuma honam fam, ɛtew asiane a ɛwɔ dwumadie mu na ɛma nneɛma a wɔkyekyɛ no yie.
Fa AI-driven scheduling algorithms a ɛma nsakrae bere so tew denam nyansa a wɔde yɛ nneɛma a wɔyɛ no nnidiso nnidiso so. Saa nhyehyɛe ahorow yi hwehwɛ abakɔsɛm mu nhyehyɛe ne bere ankasa mu tebea horow mu de ma nneɛma a wɔyɛ no kɔ yiye.
Fa nkɔsoɔ akwan a ɛkɔ so di dwuma a ɛhwɛ KPI adwumayɛ drift so na ɛsan tete nkɔmhyɛ nhwɛsoɔ ahodoɔ bosome mmiɛnsa biara. Mfiri adesua nhyehyɛe ahorow hwehwɛ sɛ wɔyɛ no foforo daa na ama wɔakɔ so ayɛ pɛpɛɛpɛ bere a mfiri no mfe akɔ anim ne sɛnea wɔde di dwuma no.
Fa data ahobanbɔ a ɛyɛ den di dwuma denam IoT mfiri no mu ahotoso, nkitahodi akwan a wɔabɔ no kokoam, ne dwumadie a egyina dwumadie so a wɔde di dwuma so. Ahobammɔ ho nhyehyɛe ahorow bɔ adwene mu agyapade ho ban bere a wɔhwɛ hu sɛ wodi mmara so no.
No wɔahyɛ sɛ smart manufacturing gua kɛseɛ bɛyɛ dɔla ɔpepepem 790.91 wɔ afe 2030 mu no kyerɛ nkɔsoɔ kɛseɛ a ɛbɛtumi aba wɔ bere tenten mu ama ano aduru a wɔtumi sesa. Ruihua Hardware’s adetɔn akyi dwumadie apam a ɛkɔ akyiri no bi ne bosome mmiɛnsa biara nhyehyɛeɛ akwahosan nhwehwɛmu, firmware foforɔ a wɔyɛ no ntɛm, ne mfiridwuma mmoa a wɔatu wɔn ho ama, a ɛhwɛ ma ɛyɛ adwuma yie wɔ mfiridwuma nkwa nna nyinaa mu a ahotosoɔ a ɛso bi nni.
Scaled implementations ne Ruihua Hardware solutions taa nya 20-30% OEE nkɔsoɔ berɛ a ɛtew nsiesie ho ka so 25-35% denam nkɔmhyɛ intervention akwan a ɛkorɔn so. Smart manufacturing solutions ma manufacturing nnwinnade a tumi wom a wɔde beyi bere a ɛho ka yɛ den a wɔde gyae adwumayɛ no afi hɔ denam predictive analytics, real-time monitoring, ne automated optimization so. Ɛdenam nhyehyɛe kwan yi a wobedi akyi so—efi ɛka a wɔbɔ ho nhwehwɛmu a edi kan so kosi nea wɔde bedi dwuma koraa so—adwumayɛbea so ahwɛfo betumi anya OEE mu nkɔso kɛse bere a wɔresi adwumayɛ a ebetumi agyina ano, a wɔasiesie ama daakye no.
Ade titiriw a ɛbɛma woadi nkonim ne sɛ wobefi ase afi nhwehwɛmu adwuma a wɔde wɔn adwene asi so a ɛkyerɛ nkonimdi ntɛmntɛm so, afei wɔde mfiridwuma a wɔada no adi ne ahokafo a wɔn ho akokwaw ayɛ kɛse wɔ nhyehyɛe kwan so. Ruihua Hardware sensor ano aduru a ɛkɔ akyiri ne nkabom ho nimdeɛ boa wɔn a wɔyɛ nneɛma no ma wɔde ahotoso fa nsakrae akwantu yi mu, de nea wotumi susuw a ɛboro nnwuma gyinapɛn so bere nyinaa na ɛma ɛfata sɛ wɔkɔ so de wɔn sika hyɛ nneɛma a wɔyɛ no nyansam mu.
Pilot a ɔde n’adwene si so no taa gye adapɛn 4-6 fi sensor a wɔde si hɔ kosi nea efi mu ba mfiase no. Afifide a edi mũ a wɔde bɛhyɛ mu no fi asram 3 kosi 12 a egyina nhyehyɛe no nkabom mu dɔ ne nnwuma a ɛwɔ hɔ dedaw a ɛne ne ho hyia so. Wobetumi de Ruihua Hardware plug-and-play sensor module ahorow no adi dwuma wɔ nna kakraa bi mu, na ama wɔatumi agye adanse a ɛkyerɛ sɛ ɛyɛ nokware ntɛmntɛm ansa na wɔahyɛ bɔ sɛ wɔde bedi dwuma akɛse.
Nnwumakuw taa hu nkɔanim 5-20% wɔ Overall Equipment Effectiveness (OEE), a ɛkyerɛ ase sɛ afe afe ɛka a wɔkora so a ɛyɛ 2-8% wɔ nneɛma a wɔyɛ nyinaa ho ka mu. Bere a wɔde tua ka no fi asram 6 kosi 18 a egyina mprempren bere a wɔde yɛ adwuma no so. Ruihua Hardware afɛfoɔ taa nya OEE nkɔsoɔ 15% wɔ asram nsia a wɔde yɛn IoT edge modules no adi dwuma no mu, a mfasoɔ foforɔ ka ho a ɛka ho ne nsiesie ho ka a wɔatew so ne bere a wɔde ma a ɛkɔ anim.
Core sensors no bi ne vibration monitors ma bearing akwahosan, temperature probes ma ɔhyew gyina pintinn, power mita ma ahoɔden a wɔde di dwuma nhwehwɛmu, ne proximity sensors ma mfiri gyinabea. Ruihua Hardware no precision sensors ma wotumi di adehwere akyi pɛpɛɛpɛ denam adansi a ɛyɛ den a wɔayɛ ama adwumayɛbea ahorow a emu yɛ den so. Sensors foforo te sɛ pressure transducers ne flow mita ma nhumu a emu dɔ a egyina nnwinnade pɔtee a wɔhwehwɛ so.
Integration de APIs a wɔahyɛ da ayɛ anaa middleware platforms te sɛ OPC UA di dwuma de sensor data kɔ ERP/MES nhyehyɛe a ɛwɔ hɔ dedaw mu. Eyi ma wotumi yɛ nsakrae wɔ bere ankasa mu wɔ nneɛma a wɔyɛ ho nhyehyɛe mu ne kɔkɔbɔ a wɔde ma wɔ ɔkwan a ɛyɛ adwuma so a enhia sɛ wɔsesa nhyehyɛe no koraa. Ruihua Hardware de turnkey nkitahodi dwumadie a ɛhwɛ ma data a ɛnyɛ den wɔ adwumayɛ mfiridwuma ne nsɛm ho amanneɛbɔ mfiridwuma nhyehyɛeɛ ntam ma.
Di ɔsɔretia ho dwuma denam nsaano ntetee nhyehyɛe a ɛkɔ akyiri so, a wɔde adwumayɛfo bɛka ho wɔ wimhyɛnkafo nhyehyɛe ho gyinaesi ahorow mu, ne nea efi mu ba a wotumi hu a wotumi di nkonim ntɛmntɛm a wɔbɛda no adi. Ɛsɛ sɛ nsakrae ho nhyehyɛe ahorow si sɛnea mfiridwuma ma nkɔso sen sɛ ebesi nnipa nimdeɛ ananmu so dua. Fi ase fi wɔn a wɔwɔ ɔpɛ sɛ wogye wɔn tom ntɛm no so, kyerɛ mfaso a ɛwɔ so ntɛm ara, na nya ahotoso denam nkakrankakra a wode bedi dwuma denam mmoa a ɛkɔ so ne nkitahodi a emu da hɔ a ɛfa ankorankoro mfaso horow ho so.
Fa ahobanbɔ a ɛwɔ ntoatoasoɔ pii a mfiri no mu adansedie adansedie krataa, end-to-end encryption ma data a wɔde mena nyinaa, firmware patch management daa, ne network nkyekyɛmu a ɛtetew IoT akwantuo firi nnwumakuo nhyehyɛeɛ mu ka ho di dwuma. Nneɛma foforɔ a wɔbɛyɛ ne dwumadie a egyina dwumadie so a wɔde di dwuma, akontabuo kyerɛwtohɔ, ne nnwuma ahobanbɔ gyinapɛn te sɛ IEC 62443. Fa nkitahodiɛ nhyehyɛeɛ a wɔabɔ no kokoam di dwuma na fa mfiri sohwɛ ho nhyehyɛeɛ a ɛkɔ akyiri si hɔ.
Yiw, sɛ wode w’ani si nneɛma a wɔyɛ a ɛwɔ nkɛntɛnso kɛse biako so a sensor kakraa bi na ɛwɔ mu a, ebetumi ama bere a wɔde yɛ adwuma no so atew a wobetumi asusuw wɔ adapɛn kakraa bi mu. Nnwuma nketewa a wɔde di dwuma no ma adanse a ɛkyerɛ sɛ adwene no yɛ nokware, adwumayɛfo ntetee hokwan ahorow, ne ROI data a ɛyɛ den a ɛfoa sikasɛm mu gyinaesi ahorow a ɛtrɛw so. Wimhyɛnkafo a wodi nkonim ntɛmntɛm taa nya bere a wɔde yɛ adwuma no so tew 5-15% wɔ afe a ɛto so abiɛsa a edi kan no mu, na ɛma ahoɔden ba adwumayɛbea nyinaa ntrɛwmu.
