I-AI Ekuqapheni Ikhwalithi Yomoya
I-AI igcwalisa izikhala phakathi kwezinzwa zokungcoliswa kwemvelo eziyingcosana futhi iguqule idatha eluhlaza ibe amamephu nezibikezelo zekhwalithi yomoya block-by-block.
Uhlolojikelele
That helps people with asthma plan their day and cities target the dirtiest hotspots.
I-Deep Dive
Ukunukubezeka komoya kubulala izigidi minyaka yonke, kodwa ama-reference monitor ayabiza futhi awancane, okushiya izindawo eziningi zingakalwa. I-AI ivala lokhu ngokuhlanganisa imithombo eminingi yedatha: amanethiwekhi ezinzwa abiza kancane, izilinganiso zesathelayithi (njenge-TEMPO ye-NASA kanye ne-ESA's Sentinel-5P ye-NO2 nama-aerosols), isimo sezulu, ithrafikhi, nezinzwa zamaselula. Ukufunda ngomshini kulinganisa izinzwa ezishibhile ezinomsindo ngokumelene neziteshi zereferensi, bese kuhlotshaniswa nokungcoliswa kwedolobha lonke ngokulungiswa komgwaqo. I-Project Air View ka-Google ishayele izimoto ezinezinzwa ukuze zakhe amamephu ezinto ezingcolisayo njenge-nitrogen dioxide ne-particle. Amamodeli aphinde abikezele amahora ekhwalithi yomoya nezinsuku ezizayo ngokuhlanganisa ukufundwa kwamanje nesimo sezulu kanye namaphethini wokukhipha umoya, futhi asiza ukukhomba ukungcoliswa kwemithombo, ahlukanise intuthu yomlilo wequbula kuthrafikhi noma izinsimbi zezimboni.
I-Technical Insight
Umsebenzi oyinhloko ukulinganisa: izindleko eziphansi ze-PM2.5 nezinzwa zegesi zikhukhuleka nomswakamo nezinga lokushisa, ngakho amamodeli okuhlehla kwe-ML alungisa ukufundwa kwawo ngokumelene neziqaphi zereferensi ezithenjwayo. Ukuze uthole ukumbozwa kwendawo, ukuhlehla kokusetshenziswa komhlaba kanye namamodeli egrafu noma e-geostatistical afaka ukungcola lapho ingekho inzwa ekhona, kusetshenziswa izibikezelo ezifana nethrafikhi, ukuphakama, namakholomu esethelayithi. Izibikezelo zezendlalelo zesimo sezulu phezulu ukuze umoya nokuguquguquka kufakwe ekuqageleni kokungcola kosuku olulandelayo.
I-Strategic Impact
Yakha ukukhetha
Idizayini yezinga lohlelo lokusebenza inquma ukuthi i-AI iyathuthukisa yini imiphumela yangempela.
Ithimba kanye nokusebenza komsebenzi
Ukuhlanganiswa okuhle kokuhamba komsebenzi kudala izinzuzo zokukhiqiza abasebenzisi abangazethemba.
Ingozi nokuphepha
Amacala okusetshenziswa ahlelwe kahle anciphisa ukukhathala okushintshile kanye nengozi yokuqaliswa.
Ikusasa le-AI Ekuqaphelweni Kwekhwalithi Yomoya
Amasathelayithi e-Geostationary afana ne-TEMPO manje aletha amamephu wokungcoliswa kwehora ngehora kuwo wonke amazwekazi, futhi i-AI izowahlanganisa nezinzwa ezikhulayo ezishibhile ezikhulayo cishe ngesikhathi sangempela, ukumbozwa kwezinga lomgwaqo yonke indawo. Lindela ukulandelela ukuchayeka komuntu siqu kumafoni nezinto ezigqokekayo, umthombo ozenzakalelayo, nezixhumanisi eziqinile ezinhlelweni zezempilo nokuphathwa kwethrafikhi. Njengoba amamodeli ethuthuka, amadolobha azosuka ekusabeleni ekungcoleni aye ekubikezeleni nasekuvimbeleni ukuchayeka, ikakhulukazi phakathi nemicimbi yentuthu yomlilo wequbula kanye nama-ozone aqhutshwa ukushisa.
Ukuqaliswa Komhlaba Wangempela
Google I-Project Air View enemephu yeleveli yomgwaqo engu-NO2 kanye nokungcoliswa kwezinhlayiya ngokufaka izinzwa ezimotweni zohlolo.
Isathelayithi ye-TEMPO ye-NASA ihlinzeka ngamamephu wokungcoliswa komoya njalo ngehora eNyakatho Melika, ahlanganiswe nedatha yaphansi yezibikezelo.
Izinhlelo zokusebenza ezifana ne-PurpleAir ne-IQAir zilinganisa amanethiwekhi ezinzwa abiza kancane ukuze anikeze ukufundwa kwezinga lomakhelwane PM2.5 ngesikhathi somlilo wequbula.
Amadolobha asebenzisa amamephu e-AI hotspot ukuze aqondise imikhawulo yethrafikhi, atshale izihlahla, noma izindawo ezinomoya ohlanzekile wesayithi lapho ukungcola kubi kakhulu.
Izingozi & Guardrails
Ukuzenzakalela inqubo ephukile kungakhulisa izinkinga ezikhona.
Amaqembu angase azenze ngokuzenzakalelayo futhi asuse ukwahlulela komuntu okudingekayo.
Ikhwalithi ingakhukhuleka uma okuphumayo kungahlolwa ngokuqhubekayo.
Ukuqalisa Umhlahlandlela
Imephu yokuhamba komsebenzi kwamanje futhi uhlonze isinyathelo sokungqubuzana okuphezulu kakhulu.
Chaza izindawo zokuhlola abantu ngaphambi kokuzenzakalela okugcwele.
Qeqesha abasebenzisi ngokwaziswa, izindlela zokukhuphuka, namazinga ekhwalithi.
Landelela imiphumela yezinga lomsebenzi ukuze uqinisekise inani eliqhubekayo.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
I-AI ku-Wildlife Conservation Monitoring
Imibuzo evame ukubuzwa
What is AI in Air Quality Monitoring?
I-AI igcwalisa izikhala phakathi kwezinzwa zokungcola ezingandile futhi iguqule idatha eluhlaza ibe amamephu nezibikezelo zekhwalithi yomoya block-by-block. Lokho kusiza abantu abanesifuba somoya ukuthi bahlele usuku lwabo futhi amadolobha aqonde ezindaweni ezingcolile kakhulu.
Kungani kubalulekile ukulinganiswa kwe-AI kwezinzwa zomoya ezingabizi kakhulu?
Izindleko eziphansi ze-PM2.5 nezinzwa zegesi zinomsindo futhi zinyakaziswa nesimo sezulu, ngakho i-ML ilungisa ukufundwa kwazo ibhekane neziteshi ezithenjwayo eziyinkomba.
Yini eyenziwa yi-AI ukuze inikeze izilinganiso zokungcola lapho ingekho inzwa?
Amamodeli wendawo athola ukungcola ezindaweni ezingakaliwe kusuka kuzibikezelo ezifana nethrafikhi, ukusetshenziswa komhlaba, ukuphakama, nedatha yesathelayithi.
Iyiphi isathelayithi ehlinzeka ngamamephu wokungcoliswa komoya ngehora eNyakatho Melika?
I-TEMPO iyithuluzi le-geostationary eliletha izilinganiso zehora zokungcola njenge-nitrogen dioxide eNyakatho Melika.
I-Project Air View ye-Google iwadale kanjani amamephu wokungcoliswa kwe-hyperlocal?
I-Project Air View ihlome izimoto ngezinzwa zokulinganisa ukungcola okufana ne-NO2 ne-PM ngokulungiswa komgwaqo nomgwaqo.
Yini engezwa kwisibikezelo sekhwalithi yomoya yosuku olulandelayo?
Idatha yesimo sezulu ivumela amamodeli aziphendulele ngokuhlakazeka komoya kanye nokuguquka kwezinga lokushisa okubamba ukungcoliswa, ukuthuthukisa izibikezelo.