5. Nneɛma a wɔtɔn ho nkɔmhyɛ ne nea wɔhwehwɛ ho nhyehyɛe .
Fa Big Data hwehwɛ mprempren ahwehwɛde mu nsakrae ne nkabom mu.
Big Data yɛ adwinnade pa a wɔde hwehwɛ nneɛma mu. Ɛdenam abakɔsɛm mu nsɛm a wɔaka abom a ɛwɔ afã horow pii no so no, yebetumi ahu ɔmantam no mu ahwehwɛde no fã ne nsakrae, nneɛma ahorow a wɔde yɛ nneɛma a wɔaka abom, ne sɛnea adetɔfo no te. Sɛnea ɛbɛyɛ a wɔbɛsesa afiri no ho nhyehyɛe ne ne kyekyɛ ho nhyehyɛe.
Wɔ nhwehwɛmu bi mu no, yebetumi ahu sɛ ahwehwɛde a ɛfa nkyerɛwee ho wɔ nkurow akɛse a ɛwɔ kɔlege ne sukuupɔn pii mu wɔ sukuu bere no mfiase no bɛyɛ kɛse kɛse, sɛnea ɛbɛyɛ a yebetumi ama wɔn a wɔtɔn nneɛma wɔ nkurow yi mu no nkɔso ayɛ kɛse na ama yɛatwetwe wɔn ma wɔahyehyɛ nneɛma pii wɔ sukuu bere no mfiase, ne bere koro no ara mu wɔ sukuu bere no mfiase. Wofii ase yɛɛ nhyehyɛe a wɔde bɛyɛ nneɛma a wɔde yɛ nneɛma no asram biako anaa abien a atwam ni sɛnea ɛbɛyɛ a wobedi ahwehwɛde a wɔhwehwɛ no ho dwuma.
Wɔ nneɛma a wɔyɛ no ho no, wɔyɛ nsakrae wɔ nneɛma a wɔyɛ ne adwumayɛ mu a egyina nea adetɔfo kuw no de wɔn adwene si so so. Sɛ nhwɛso no, mfe kakraa bi a atwam ni no, na obiara ani gye ho sɛ ɔde nnwom fon bedi dwuma, nanso mprempren obiara pɛ sɛ ɔde fon a wokura kyin di dwuma de hwehwɛ intanɛt, twa mfonini na ɔkyɛ, ne nea ɛkeka ho.Nnwom a wɔde di dwuma wɔ telefon a wokura kyin dwumadi mu no yɛ ade biako pɛ. Trend, 4G fon a wokura kyin nso gye gua so kyɛfa kɛse. Ɛdenam Big Data nhwehwɛmu a wɔyɛ wɔ gua so nsɛm bi ho no, wobetumi anya hokwan pii a wobetumi atɔn.
6. Nneɛma a wɔyɛ ho nhyehyɛe ne nhyehyɛe .
Nnwuma a wɔyɛ no hyia nneɛma ahorow pii ne nea wɔyɛ no nketewa. Data a wɔayɛ no yiye, ɛyɛ adwuma ankasa, ɛyɛ ne bere mu de na ɛyɛ mmerɛw (MES/DCS) ne nsakrae no ama data anya nkɔanim kɛse. Bio nso, bɛboro mfeɛ du informatization abakɔsɛm data ho hia ma APs a ɛyɛ ho mmuaeɛ ntɛmntɛm no, ɛyɛ asɛnnennen kɛseɛ.
nhyehyɛe a wɔde di dwuma wɔ . Hangao Tech (seko mfiri) 's . Intelligent stainless steel industrial welded pipe making machinery line can track and record the production data a ɛwɔ welded pipe biara mu, te sɛ mprempren mprempren kɛse, welding ahoɔhare, annealing hyew, ne nea ɛkeka ho Wɔ eyi so no, ɛdenam Intanɛt so nneɛma mfiridwuma ho nimdeɛ a wɔde aba no so no, data akɛse betumi ama yɛn nsɛm a ɛkɔ akyiri a ɛkɔ akyiri, ahu sɛnea ebetumi aba sɛ deviation, adwinnade, nneɛma anohyeto ne, nnipa a wɔde wɔn ho bɛhyɛ mu no anohyeto ne, adwumayɛfo a wɔbɛma wɔn ho so ne, adwumayɛfo a wɔbɛma wɔn ho so ne, adwumayɛfo a wɔbɛma wɔn ho so ne, adwumayɛfo a wɔbɛma wɔn ho so ne, adwumayɛfo a wɔbɛma wɔn ho so ne wɔn a wɔbɛma wɔn ho so ne, adwumayɛfo a wɔbɛma wɔn ho so ne wɔn a wɔbɛma wɔn ho atɔ wɔn ne wɔn a wɔbɛma wɔn ho so ne wɔn a wɔbɛma wɔn ho so ne wɔn a wɔbɛma wɔn ho so ne wɔn a wɔbɛma wɔn ho so ne wɔn a wɔbɛma wɔn ho so ne wɔn a wɔbɛma wɔn ho so ne wɔn a wɔbɛma wɔn ho atɔ wɔn ne wɔn a wɔbɛma wɔn ho so ne wɔn a wɔbɛma wɔn ho atɔ wɔn ne wɔn a wɔbɛma wɔn ho so ne, nneɛma a wɔbɛma atra hɔ no ayɛ nea ɛbɛma yɛn ho atɔ yɛn Intelligent optimization algorithms, yɛ nhyehyɛe a edi kan ne nhyehyɛe, na hwɛ sɛnea nhyehyɛe no ne nea ɛwɔ hɔ ankasa no ntam kwan ware, na yɛ nsakrae wɔ nhyehyɛe ne nhyehyɛe no mu wɔ ɔkwan a ɛyɛ nnam so.
Boa yɛn ma yɛnkwati 'mfonini' sintɔ ahorow na yɛde kuw su ahorow to ankorankoro so tẽẽ (wɔsakra adwuma beae data tẽẽ kɔ data pɔtee te sɛ nnwinnade, adwumayɛfo, nkuku, ne nea ɛkeka ho). Ɛnam nkitahodi nhwehwɛmu a ɛfa data ne hwɛ a yɛbɛhwɛ so so no, yebetumi ayɛ nhyehyɛe ama daakye.
Ɛwom sɛ big data yɛ mfomso kakra de, nanso bere tenten a wɔde di dwuma yiye no, big data bɛyɛ akode a ahoɔden wom ama yɛn. Saa bere no, Ford bisaa sɛ dɛn ne nea big data adetɔfo ahiade yɛ? Mmuae no ne 'ɔpɔnkɔ a ɛyɛ ntɛm' sen sɛ anka kar ahorow a mprempren agye din no.
Enti, wɔ wiase a data akɛse, adebɔ, nkate, adventurous honhom ne adwene mu apɛde ho hia titiriw.
7. Nneɛma a wɔyɛ no yiye ho nhyehyɛe ne ne nhwehwɛmu .
Atetesɛm mu nneɛma a wɔyɛ no rehyia nkɛntɛnso a big data nya. Wɔ nneɛma a wɔyɛ ho nhwehwɛmu ne nkɔso, nhyehyɛe nhyehyɛe, nneɛma pa ho nhyehyɛe, nea wɔyɛ ne ne dwumadi ho no, yɛde ahopere hwɛ akwan foforo a yɛbɛfa so awo de adi nsɛnnennen a ɛwɔ data akɛse mu wɔ mfiridwuma tebea mu no ho dwuma.
Sɛ nhwɛso no, wɔ semiconductor adwumayɛ mu no, chips fa akwan horow pii a ɛyɛ den te sɛ doping, build-up, photolithography, ne ɔhyew a wɔde yɛ adwuma bere a wɔreyɛ no. Ɛsɛ sɛ anammɔn biara di honam fam su ahorow a ɛyɛ den kɛse ho dwuma. Wɔde mfiri a wɔde di dwuma wɔ ɔkwan a ɛyɛ adwuma so kɛse na ɛyɛ nneɛma ho adwuma. Bere koro no ara mu no, wɔyɛɛ sɔhwɛ akɛse nso bere koro mu.
So saa data kɛse yi yɛ adwumayɛkuw no adesoa anaasɛ adwuma no sika kɔkɔɔ a wotu no? Sɛ nea etwa to no te saa a, ɛnde ɛbɛyɛ dɛn na yɛatumi ahu nneɛma atitiriw a ɛma nneɛma a wɔyɛ no mu aba no sakra ntɛm ara fi 'sika kɔkɔɔ a wotu no' mu? Eyi yɛ mfiridwuma ho haw a ahaw semiconductor mfiridwumayɛfo mfe pii.
Bere a wafers a semiconductor mfiridwuma adwumakuw bi ayɛ no akyi no, wɔyɛ sɔhwɛ nhyehyɛe no akyi no, wɔyɛ data a ɛwɔ sɔhwɛ nneɛma bɛboro ɔha ne sɔhwɛ kyerɛwtohɔ ahorow ɔpepem pii da biara.
Sɛnea ahwehwɛde titiriw a ɛfa sɛnea wɔhwɛ nneɛma pa so kyerɛ no, adwuma a ɛho hia ne sɛ wɔbɛyɛ nhyehyɛe tumi mu nhwehwɛmu ama sɔhwɛ nneɛma bɛboro ɔha a ɛwɔ mfiridwuma ho nsɛm ahorow.
Sɛ yɛdi atetesɛm adwuma nhwɛsoɔ no akyi a, ɛhia sɛ yɛbu akontaa bɛboro ɔha nhyehyɛeɛ tumi indexes anammɔn anammɔn, na yɛsɔ su pa biara su hwɛ mmiako mmiako.
Ɛmfa ho adwuma kɛse a ɛyɛ den wɔ ha no, sɛ obi betumi adi akontaabu ho haw no ho dwuma mpo a, ɛyɛ den sɛ yebehu abusuabɔ a ɛda wɔn ntam no afi nneɛma ɔhaha pii a wɔde yɛ adwuma no ho nkyerɛkyerɛmu ahorow no mu, na ɛyɛ den kɛse mpo sɛ wobehu sɛnea ade no nyinaa te. Nteaseɛ a ɛkɔ akyiri ne adwumayɛ ho nsɛm tiawa wɔ hɔ.
Nanso, sɛ yɛde Big Data Quality Management Analysis Platform di dwuma a, nea ɛka ho ne ntɛm a yebenya bere tenten atetesɛm biako indicator process tumi nhwehwɛmu amanneɛbɔ, nea ɛho hia kɛse no, yebetumi nso anya nhwehwɛmu foforo pii afi Big Data set koro no ara mu. nsunsuansoɔ.
8. Mfiridwuma mu efĩ ne nneɛma a atwa yɛn ho ahyia ho banbɔ ho sɔhwɛ .
Wɔgyina nneɛma a ɛwɔ Intanɛt so no so kyerɛw nsɛm a ɛwɔ adeyɛ no mu nyinaa na wɔhwɛ so, na data akɛse so wɔ mfaso kɛse ma nneɛma a atwa yɛn ho ahyia ho banbɔ.
Wɔ China aban wɛbsaet no so no, wobetumi abisa Ministries ne Commissions ahorow, Petrochina ne Sinopec, nneɛma a atwa yɛn ho ahyia ho banbɔ ahyehyɛde ahorow no wɛbsaet a ɛyɛ aban de, ne nnwumakuw titiriw bi, ɔmanfo yiyedi ne nneɛma a atwa yɛn ho ahyia ho banbɔ ho nsɛm pii a wobetumi abisa, a ɔman no mu mframa ne nsu ho nsɛm, wim tebea ho nsɛm, adwumayɛbea no kyekyɛ ne efĩ a wɔde fi hɔ no di mmara so a wodi so no twɛn data ne nea ɛkeka ho.
Nanso, saa nsɛm yi apete dodo, ɛyɛ adwumayɛfo de dodo, nhwehwɛmu a wɔnyɛ, ne mfonini a wɔnyɛ, na nnipa mpapahwekwa ntumi nte ase. Sɛ wutumi te ase na wohwɛ yiye a, Big Data bɛyɛ ɔkwan titiriw a ɔmanfo bɛfa so ahwɛ nneɛma a atwa yɛn ho ahyia ho banbɔ so.
Baidu a ɔde 'ɔman mu efĩ ho nhwehwɛmu map' no reba no yɛ ɔkwan pa. Sɛ wɔde Open Environmental Protection Big Data ka ho a, Baidu Maps de efĩ a wɔde hu nneɛma aka ho. Obiara betumi de adi dwuma de ahwɛ ɔman no ne amantam ne nkurow a ɛwɔ wɔn ankasa mantam mu, a ne nyinaa yɛ nneɛma a atwa yɛn ho ahyia ho banbɔ. Beaeɛ ho nsɛm, ahyehyɛdeɛ no din, mframa a ɛfiri mu ba no su, ne efĩ a ɛfiri mu ba a ɛdi soɔ a ɛdi akyire a Environmental Protection Agency (a ɛka ho ne anyinam ahoɔden mfiri ahodoɔ, mfiridwuma nnwuma a ɔman no di so, ne nsuo fĩ a wɔde yɛ adwuma) a ɛwɔ adwumayɛbea no hwɛ ase.
Wubetumi ahwɛ efĩ fibea a ɛbɛn wo paa no, na nkaebɔ bi bɛda adi, nneɛma a wɔde hwɛ nneɛma so wɔ beae a wɔhwɛ so no mu nea ɛboro gyinapɛn no so, ne mpɛn dodow a ɛboro gyinapɛn no so. Wobetumi de saa nsɛm yi adi dwuma wɔ sohyial media so bere ankasa mu de abɔ nnamfo amanneɛ na wɔakae obiara sɛ ɔmfa n’adwene nsi efĩ a efi nneɛma a efi mu ba ne ankorankoro ahobammɔ ne akwahosan so.
Mfaso a ɛwɔ mfiridwuma mu data akɛse a wɔde di dwuma so no yɛ kɛse. Nanso, adwuma pii da so ara wɔ hɔ a ɛsɛ sɛ wɔyɛ na ama wɔahu saa gyinapɛn ahorow yi.
Biako ne asɛm a ɛfa big data ho nimdeɛ a wɔde besi hɔ ho. Bere bi a atwam no, na data akɛse a ɛte saa wɔ hɔ, nanso esiane sɛ na nsɛm akɛse ho nimdeɛ biara nni hɔ nti, na na akwan a wɔfa so hwehwɛ nsɛm mu no nnɔɔso, wɔtow nsɛm pii a wɔde di dwuma wɔ bere ankasa mu no gui anaasɛ wɔde guu nkyɛn, na wosiee bo a ebetumi aba wɔ data dodow bi ho no.
Asɛm foforo a ɛho hia ne Data Islands ho asɛm. Wɔkyekyɛ mfiridwuma nnwuma pii ho nsɛm wɔ nsupɔw ahorow so wɔ adwumayɛbea no mu, titiriw wɔ nnwumakuw akɛse a ɛwɔ aman pii mu no mu. Ɛyɛ den yiye sɛ wobeyi saa nsɛm yi afi adwumayɛbea no nyinaa mu.
Enti, asɛm a ɛho hia ma industrial big data applications ne integrated applications.
