Kana hungwaru hwekugadzira huchionekwa serwendo kubva kuA kuenda kuB, cloud computing sevhisi nhandare yendege kana chiteshi chechitima chinomhanya, uye edge komputa itekisi kana bhasikoro rakagovaniswa. Edge komputa iri padyo nedivi revanhu, zvinhu, kana data masosi. Inotora chikuva chakavhurika chinosanganisa kuchengetedza, computation, network kuwana, uye application musimboti kugona kupa masevhisi kune vashandisi vari pedyo. Kuenzaniswa neyakaiswa pakati pegore computing masevhisi, edge komputa inogadzirisa matambudziko akadai seyakareba latency uye yakanyanya convergence traffic, ichipa rutsigiro rwuri nani kune chaiyo-nguva uye bandwidth-inoda masevhisi.
Moto weChatGPT wakamisa mhepo itsva yekuvandudzwa kweAI, kukurumidza kunyura kweAI mune dzimwe nzvimbo dzekushandisa dzakadai semaindasitiri, zvitoro, dzimba dzakangwara, maguta akachenjera, etc. Nhamba yakawanda yedata inoda kuchengetwa uye kuverengwa pamagumo ekushandiswa, uye kuvimba negore chete hazvichakwanisi kuzadzisa chido chaicho, edge computing inovandudza kushandiswa kwemakiromita ekupedzisira kweAI. Pasi pemutemo wenyika wekusimbaradza hupfumi hwedhijitari, China gore computing yapinda munguva yekusimudzira, kudiwa kwemakomputa kwawedzera, uye kubatanidzwa kwemupendero wegore uye kupera kwave nzira yakakosha yekushanduka-shanduka mune ramangwana.
Edge komputa musika kukura 36.1% CAGR mumakore mashanu anotevera
Indasitiri yemakomputa yemupendero yapinda padanho rekusimudzira, sezvinoratidzwa nekusiyana zvishoma nezvishoma kwevanopa masevhisi, kukura kwemusika kukura, uye kumwe kuwedzera kwenzvimbo dzekushandisa. Panyaya yehukuru hwemusika, data kubva kuIDC yekutsvagisa shumo inoratidza kuti musika wese saizi yeedge computing maseva muChina yakasvika US $ 3.31 bhiriyoni muna 2021, uye saizi yemusika yese yeedge computing maseva muChina inotarisirwa kukura pamwero wepagore wekukura kwe22.2% kubva 2020 kusvika 2025. 250.9 bhiriyoni muna 2027, ine CAGR ye36.1% kubva 2023 kusvika 2027.
Edge komputa eco-indasitiri inobudirira
Edge komputa parizvino iri padanho rekutanga rekubuda, uye miganhu yebhizinesi mumaindasitiri ketani haina kujeka. Kune vatengesi vega, zvinodikanwa kufunga nezvekubatanidzwa nemamiriro ebhizinesi, uye zvakare zvinodiwa kuve nekugona kuchinjika kune shanduko yemamiriro ebhizinesi kubva padanho rehunyanzvi, uye zvinodikanwa kuve nechokwadi chekuti kune huwandu hwepamusoro hwekuenderana nemidziyo yehardware, pamwe nekugona kweinjiniya kumapurojekiti epasi.
Iyo yekumucheto komputa indasitiri cheni yakakamurwa kuva chip vatengesi, algorithm vatengesi, Hardware mudziyo vagadziri, uye mhinduro vanopa. Vatengesi veChip vanowanzogadzira arithmetic machipisi kubva kumucheto-kudivi kuenda kumucheto-kurutivi kuenda kune gore-parutivi, uye nekuwedzera kune epamucheto-machipisi, ivo zvakare vanogadzira makadhi ekumhanyisa uye kutsigira software yekuvandudza mapuratifomu. Algorithm vatengesi vanotora komputa vision algorithms semusimboti wekuvaka general kana customized algorithms, uye kune zvakare mabhizinesi anovaka algorithm mall kana kudzidzisa uye kusunda mapuratifomu. Vatengesi vezvishandiso vari kushingaira kuisa mari mune edge computing zvigadzirwa, uye chimiro che edge computing zvigadzirwa zvinogara zvichipfumiswa, zvishoma nezvishoma zvichigadzira yakazara stack ye edge komputa zvigadzirwa kubva ku chip kuenda kumuchina wese. Vagadziri vemhinduro vanopa software kana software-hardware-yakabatanidzwa mhinduro kune chaiwo maindasitiri.
Edge komputa indasitiri yekushandisa inomhanyisa
Mumunda weguta rakangwara
Ongororo yakazara yezvivakwa zvemudhorobha pari zvino inowanzoshandiswa munzira yekuongorora nemaoko, uye nzira yekuongorora yemanyorero ine matambudziko emitengo inopedza nguva yakawanda uye yekushanda nesimba, kutsamira pamaitiro emunhu, kuvharika kwakashata uye kuwanda kwekuongorora, uye hutongi husina kunaka. Panguva imwecheteyo maitiro ekuongorora akarekodha huwandu hukuru hwe data, asi izvi zviwanikwa zve data hazvina kushandurwa kuita data assets yekugonesa bhizinesi. Nekushandisa tekinoroji yeAI kune nharembozha yekuongorora mamiriro, bhizinesi rakagadzira hutongi hwemaguta AI yakangwara yekuongorora mota, iyo inotora matekinoroji akadai seInternet yezvinhu, cloud computing, AI algorithms, uye inotakura midziyo yehunyanzvi yakaita semakamera akanyanya-tsananguro, pa-board displays, uye AI padivi rekuongorora mashandiro evashandisi, uye inosanganisirwa masevhisi emagetsi emagetsi evashandi, uye anosanganisa masevhisi. rubatsiro". Inosimudzira shanduko yehutongi hwemadhorobha kubva kuvashandi-yakanyanya kuenda kuhungwaru hwemuchina, kubva pakutonga kwesimba kuenda kuongororo yedata, uye kubva pakupindura kusingaite kuenda kukutsvaga kwakasimba.
Mumunda wenzvimbo yekuvaka yakangwara
Edge komputa-yakavakirwa akangwara ekuvaka saiti mhinduro dzinoshandisa kusanganisa kwakadzama kweAI tekinoroji kune yechinyakare indasitiri yekuvaka yekuchengetedza basa rekutarisa, nekuisa muganho AI yekuongorora terminal panzvimbo yekuvaka, kupedzisa yakazvimirira yekutsvaga uye kuvandudza kwekuona AI algorithms yakavakirwa pahungwaru vhidhiyo analytics tekinoroji, kuzere-nguva kuona kwezviitiko kuti zvionekwe (semuenzaniso, kuona kana, kusangana nenjodzi, uye kusachengeteka kwenzvimbo). uye masevhisi echiyeuchidzo chearamu, uye kutora danho reKuzivikanwa kwezvinhu zvisina kuchengeteka, AI yakangwara kuchengetedza, kuchengetedza mari yevashandi, kusangana nevashandi uye kuchengetedza kuchengetedza zvinodiwa munzvimbo dzekuvaka.
Mumunda wekutakura kwakangwara
Cloud-side-end architecture yave iyo yakakosha paradigm yekutumirwa kwezvikumbiro muindasitiri yekufambisa yakangwara, nedivi regore rinotarisira manejimendi epakati uye chikamu chekugadzirisa data, rutivi rwekumucheto runonyanya kupa kumucheto-kurutivi data kuongororwa uye computation kuita sarudzo, uye rutivi rwekupedzisira rinonyanya kuita basa rekuunganidza data rebhizinesi.
Mune chaiwo mamiriro akadai semota-mugwagwa kurongeka, holographic mharadzano, kutyaira otomatiki, uye njanji traffic, kune huwandu hukuru hwezvishandiso zvakasiyana-siyana zvinowanikwa, uye zvishandiso izvi zvinoda manejimendi ekuwana, kubuda kwekutonga, alarm kugadzirisa, uye kushanda uye kugadzirisa kugadzirisa. Edge komputa inogona kupatsanura uye kukunda, kushandura hombe kuita diki, kupa muchinjika-layer protocol shanduko mabasa, kuwana yakabatana uye yakagadzikana kuwana, uye kunyange yekudyidzana kutonga kweheterogeneous data.
Mumunda wekugadzira maindasitiri
Kugadzira Maitiro Ekugadzirisa Mamiriro: Parizvino, huwandu hukuru hwemadhisiki ekugadzira masisitimu anoganhurirwa nekusakwana kwedata, uye kugona kwese kwemidziyo uye kumwe kuverengera kwedata data kwakapusa, zvichiita kuti zviome kushandisa kuita zvakanaka. Edge computing chikuva chakavakirwa pamidziyo yeruzivo modhi kuti uwane semantic level yekugadzira system yakatwasuka kutaurirana uye yakatwasuka kutaurirana, zvichibva pane chaiyo-nguva data kuyerera kwekugadzirisa nzira yekuunganidza uye kuongorora nhamba yakakura yemunda chaiyo-nguva data, kuwana modhi-yakavakirwa mutsara wekugadzira yakawanda-dhata sosi ruzivo fusion, kupa yakasimba data rutsigiro rwekuita sarudzo mune discrete yekugadzira system.
Equipment Predictive Maintenance Scenario: Maintenance yezvigadzirwa zvemaindasitiri zvakakamurwa kuva marudzi matatu: reparative kugadzirisa, kudzivirira kuchengetedza, uye kufanotaura kugadzirisa. Kudzoreredza gadziriso ndeye ex post facto gadziriso, yekudzivirira kuchengetedza, uye fungidziro yekuchengetedza ndeye ex-ante kugadzirisa, yekutanga kunoenderana nenguva, kuita kwemidziyo, mamiriro esaiti, uye zvimwe zvinhu zvekugara zvigadziriswe zvemidziyo, zvakanyanya kana zvishoma zvichienderana neruzivo rwevanhu, iyo yekupedzisira kuburikidza nekuunganidzwa kwe data sensor, chaiyo-nguva yekutarisisa mamiriro ekushanda kwemidziyo, zvichibva pamhando yeindasitiri yekuongorora data, uye kufanotaura chaizvo riini kukundikana.
Maindasitiri emhando yekuongorora mamiriro: maindasitiri ekuona kwekutarisa munda ndiyo yekutanga yechinyakare otomatiki optical inspection (AOI) fomu mune yemhando yekuongorora ndima, asi kuvandudzwa kweAOI kusvika parizvino, mukuonekwa kwakawanda kwekuremara uye zvimwe zviitiko zvakaoma, nekuda kwekuremara kwemhando dzakasiyana siyana, kudhirowa kwechimiro hakuna kukwana, inogadziridzwa algorithms, inogadziridzwa algorithms, kugadzirwa kwakashata, mutsara wakashata, mutsara wakashata. inochinjika, uye zvimwe zvinhu, iyo yechinyakare AOI sisitimu yave yakaoma kuzadzisa kuvandudzwa kwezvinodiwa mutsetse wekugadzira. Naizvozvo, iyo AI indasitiri yemhando yekuongorora algorithm papuratifomu inomiririrwa nekudzidza kwakadzama + diki sampuli yekudzidza zvishoma nezvishoma iri kutsiva yechinyakare yekuona yekuongorora chirongwa, uye iyo AI indasitiri yemhando yekuongorora chikuva yapfuura nematanho maviri echinyakare muchina kudzidza algorithms uye yakadzika yekudzidza algorithms.
Nguva yekutumira: Oct-08-2023