isiZulu
Amamodeli ekhamera Asiza Kanjani Ekuqashweni Kwezokuphepha Kwezinsika Zamafutha
Kwadalwa ngo 01.06
Imboni kawoyela negesi isebenza kwezinye zezindawo eziyingozi kakhulu emhlabeni. Iziteshi zikwoyela zasolwandle nezomhlaba zivezwe ezimweni zezulu eziyingozi, izinto ezivutha kalula, imishini enomfutho ophakeme, nezinqubo eziyinkimbinkimbi—konke lokhu okubeka izingozi ezinkulu empilweni yabantu, ingqalasizinda, nemvelo. Ngokwe-International Association of Oil & Gas Producers (IOGP), nakuba imboni yenze intuthuko enkulu ekwehliseni izingozi zokuphepha emashumini eminyaka adlule, izindleko zengozi enkulu eyodwa zingadlula i- $1 billion, singasho nokulimala okungapheli ezindaweni zemvelo nasekuphileni kwabantu. Kulo mongo, ubuchwepheshe obuphambili buye baba abasizi ababalulekile ekuthuthukiseni ukuphepha kweziteshi. Phakathi kwalokhu, amamojuli ekhamera—ake abhekwa njengezinsiza zokuqapha ezingasebenzi—aye athuthuka abe izingxenye ezisebenzayo, ezihlakaniphile ezidlala indima ebalulekile ekugwenzeni izingozi, ukuqinisekisa ukuthobela imithetho, nokwenza ngcono izimpendulo eziphuthumayo. Lesi sihloko sihluza izindlela ezintshaamamojuli ekhamera ashintsha imisebenzi yokuphepha yamaloli kawoyela, adlule ngalé kokubhekwa okujwayelekile ukuze kunikezwe ukunciphisa ubungozi obuqhubekayo kanye nokwenza izinqumo ezisekelwe kudatha.
Kusukela Ekubhekweni Okungasebenzi kuya Ekugwemeni Okusebenzayo Kobungozi: Ukuthuthukiswa kwamamojuli ekhamera kumaloli kawoyela
Ngeminyaka eyishumi edlule, izinhlelo zekhamera eziseziqongweni zamafutha zazisetshenziswa ikakhulukazi ukubuyekezwa ngemuva kwezehlakalo kanye nokuqapha okuyisisekelo okubonakalayo. Lezi zinhlelo zakuqala zazinezinkinga: ikhwalithi yesithombe embi ezimeni zezulu ezinzima, ukungakwazi ukusebenza ezimeni zokukhanya okuphansi, kanye nokuntuleka kwezibalo zesikhathi sangempela. Namuhla, noma kunjalo, intuthuko kwezobuchwepheshe bezinzwa, ubuhlakani bokwenziwa (AI), ukubala komphetho, kanye nomklamo oqinile uguqule amamojula ekhamera abe amathuluzi anamandla okuvikela. Amamojula ekhamera esekela iziqongolo zesimanje enziwe ukuze imelane nezinga lokushisa elidlulele (kusuka ku -40°C kuye ku 85°C), umswakama ophezulu, amanzi anosawoti anobulawa (eziqongweni zasolwandle), kanye nokudlidliza okuvela ezintweni zokubhoboza. Okubaluleke kakhulu, zihlanganiswe ne-AI kanye ne-machine learning algorithms enika amandla ukutholwa kwezinsongo zesikhathi sangempela, okuqeda ukubambezeleka phakathi kokutholwa kwezingozi nezenzo zokuphendula.
Lokhu kushintsha kusuka ekugadeni okungasebenzi ukuya ekugadeni okusebenzayo kuyinto enkulu kakhulu kwezokuphepha kwezindawo zokubhola uwoyela. Esikhundleni sokuncika kubasebenzi babantu ukuthi baqhubeke bagade izithombe eziningi zamakhamera—umsebenzi obhekene nokukhathala komuntu nephutha—amamojuli amakhamera ahlakaniphile angakwazi ukuthola ngokuzenzakalelayo izinto ezingajwayelekile, athumele izaziso ezisheshayo, futhi angase aqale nezinqubo zokuphepha ezihlelwe ngaphambili. Ngokwesibonelo, imojuli yekhamera ehlome ngama-algorithms okuthola amalangabi ingathola umkhaza omncane endaweni enqatshelwe kungakapheli amasekhondi angu-0.5, ngokushesha kunomuntu obukele, futhi ngokushesha yazise igumbi lokulawula ukuphepha ngenkathi iqala izinhlelo zokucisha umlilo. Le ndlela eqhubekayo ibonakale inciphisa ubunzima izehlakalo ngo-60% noma ngaphezulu, ngokusho kocwaningo luka-2024 olwenziwa yi-Oil and Gas Technology Center (OGTC).
Izicelo Eziyinhloko zamamojuli ekhamera emisebenzini yokuphepha yamaloli kawoyela
Amamojuli ekhamera afakwa ezindaweni ezahlukahlukene ezibalulekile zamaloli kawoyela, ebhekana nezinselelo ezithile zokuphepha. Ngezansi izicelo ezinomthelela omkhulu, ngayinye isebenzisa ubuchwepheshe obuthuthukisiwe ukuthuthukisa ukunciphisa ubungozi nokuphepha kokusebenza.
1. Ukutholwa Kobungozi kanye Nezixwayiso Zesikhathi Sangempela
Enye yezinto ezinkulu ezisetshenziswa ngazo amamojuli ekhamera ukuthola izingozi ezivamile ezindaweni zokugawula uwoyela, okubandakanya umlilo, ukuvuza kwegesi, ukungasebenzi kahle kwemishini, nokungena endaweni evaliwe ngaphandle kwemvume. Amamojuli ekhamera esesimweni samanje ahlome ngezihlonzi ezikhethekile nama-algorithm e-AI enzelwe lezi zinsongo:
Ukuqashelwa Kwezivunguvungu Nomusi: Ngokungafani nezamukeli zomsizi zakudala ezisebenzisa izinzwa zamakhemikhali, amamojuli ekhamera asebenzisa umbono wekhompyutha ukuze aqaphele izici ezihlukile zezivunguvungu (isibonelo, umbala, imvamisa yokukhanya) nomusi (isibonelo, ukungabonakali, izindlela zokuhamba). Lamakhamera angasebenza ezindaweni ezivulekile lapho izamukeli zomsizi zingasebenzi khona, njengezindawo zokuqeqesha nezindawo zokugcina izinto. Ngokwesibonelo, iziqongqo zasolwandle eGulf of Mexico sezamukele amamojuli ekhamera ashisayo angaqaphela izivunguvungu ngesikhathi kunesikhubazane, imvula, nobumnyama—izimo ezivame ukwenza amakhamera okukhanya okubonakalayo angasebenzi.
Ukubonisa Ukuvuza Kagesi: Nakuba izithwebuli zegesi zingakwazi ukukala izinga lamagesi ayingozi (isibonelo, i-methane, i-hydrogen sulfide), azikwazi ukukhomba indawo eqondile lapho kuphuma khona igesi. Amamojuli ekhamera anobuchwepheshe bokubonisa igesi (ebasebenzisa izinzwa ze-infrared) angakwazi "ukubona" amagesi angabonakali, adale isithombe esibonakalayo esikhombisa umthombo wokuvuza nokusabalala kwawo. Lokhu kuvumela amaqembu okugcinwa ukuthi akwazi ukuthola ngokushesha futhi alungise ukuvuza ngaphambi kokuba kuqale ukuqhuma noma izigameko zokuthola ubuthi. Isifundo samacala esenziwe inkampani enkulu kawoyela sikhombise ukuthi amakhamera okubonisa igesi anciphise isikhathi esidingekayo sokulungisa ukuvuza ngo-75%, kunciphisa ingozi yokuqoqana kwegesi.
Ukuqashelwa Kwezinto Ezingajwayelekile Emishini: Amamojuli ekhamera ahambisana ne-AI angakwazi ukuqapha imishini ebalulekile (isibonelo, izikopelo zokubhoboza, amaphampu, amavalvu) ukuze kutholwe izimpawu zokuguga, ukulimala, noma ukusebenza okungajwayelekile. Ngokuhlaziya izithombe zevidiyo zesikhathi sangempela uma ziqhathaniswa nesimo esijwayelekile sokusebenza, uhlelo lungathola ukuhlukahluka okuncane—njengavalvu ovuleke kancane lapho kufanele uvalwe, noma iphampu enyakaza kakhulu. Lezi zixwayiso zangaphambi kwesikhathi zivumela amaqembu okulungisa ukuthi enze ukulungiswa ngaphambi kokuba imishini yenzeke, kuvinjelwe ukuyeka okungalindelekile kanye nezingozi ezingenzeka. Ngokwesibonelo, endaweni yokumba uwoyela eNorth Sea, amamojuli ekhamera athola ukunyakaza okungajwayelekile kuphampu kadaka yokubhoboza, okwaholela ekulungisweni okuhleliwe okwagwema ukwehluleka okukhulu kwephampu okungabanga ukugqashuka.
2. Ukuqapha Ukuphepha Kwabasebenzi kanye Nokuhambisana
Iphutha lomuntu lingesinye sezimbangela eziyinhloko zezingozi eziseziqongweni zamafutha, elibanga cishe u-40% wezehlakalo, ngokusho kwedatha ye-IOGP. Amamojuli ekhamera asiza ukunciphisa le ngcuphe ngokugada ukuziphatha kwabasebenzi, ukuqinisekisa ukuthobela imithetho yokuphepha, nokuthuthukisa ukuvikelwa kwabasebenzi:
Ukuqiniswa kwezinto zokuzivikela zomuntu siqu (PPE): Amamojuli ekhamera anikwe amandla yi-AI angakwazi ukuqinisekisa ngokuzenzakalelayo ukuthi abasebenzi bagqoke i-PPE edingekayo, njengezicathulo eziqinile, izibuko zokuphepha, ama-vest anombala wokubonisa, nezimaski zegesi, ezindaweni ezibekiwe. Uma umsebenzi etholakala engagqokile i-PPE efanele, uhlelo luthumela isexwayiso esheshayo ethimini lezokuphepha kanye nedivayisi yesandla yomsebenzi. Lokhu akugcini nje ngokunikeza amandla ukuthobela imithetho kodwa futhi kusebenza njengesikhumbuzo esihle kubasebenzi. Uhlelo lokuhlola olwenziwa yinkampani yokubhola uwoyela yasolwandle luthola ukuthi amazinga okuthobela i-PPE akhuphuke ukusuka ku-78% aya ku-99% ngemuva kokufakwa kwamamojuli ekhamera la.
• Ukuqapha Imisebenzi Engoziwe Kakhulu: Imisebenzi efana nokusebenza endaweni ephakeme, imisebenzi eshisayo (isibonelo, ukushisela, ukusika), nokungena ezindaweni ezivalekile ingeyona engozi kakhulu ezindaweni zamafutha. Amamojuli ekhamera asetshenziselwa ukuqapha le misebenzi ngesikhathi sangempela, ukuqinisekisa ukuthi izinqubo ezifanele zokuphepha ziyalandelwa. Ngokwesibonelo, ngesikhathi somsebenzi oshisayo, amakhamera angathola ukuthi ngabe umqaphi womlilo ofunekayo ukhona yini, ukuthi izinto ezivutha kalula zigcinwe kahle yini, nokuthi imishini yokucisha umlilo iyatholakala yini. Uma kukhona umthetho owophulwayo, uhlelo lungayeka umsebenzi ukude futhi litshele umqaphi.
Ukuqapha Abasebenzi Nokuthola Izindawo Ngaphansi Kwezimo Eziphuthumayo: Emigqeni emikhulu yasolwandle, ukuthola izindawo zabasebenzi ngesikhathi sokuphuthuma (isibonelo, umlilo, ukuqhuma, noma ukubalekela) kungaba nzima. Amamojuli ekhamera ahlanganiswe nobuchwepheshe bokubona ubuso angakwazi ukulandelela ukunyakaza kwabasebenzi kuyo yonke imigqomo, ahlinzeka ngedatha yendawo ngesikhathi sangempela emaqenjini okuphendula ezimo eziphuthumayo. Lokhu kubaluleke kakhulu ezimweni zokubona okunzima, lapho izindlela zokulandelela ezijwayelekile (isibonelo, amathegi e-RFID) zingase zehluleke. Ngesikhathi sokuzilolonga okuphuthumayo okulingiswayo emgqomeni waseNorway, ukulandelela okusekelwe ekhamera kunciphise isikhathi esidingekayo sokubala bonke abasebenzi ngo-50% uma kuqhathaniswa nezinhlelo ezisekelwe ku-RFID.
3. Ukuphuthuma Okungazelelwe kanye Nokuhlaziywa Ngemuva Kwesehlakalo
Lapho kwenzeka ingozi, isekhondi ngayinye ibalulekile. Amamojuli ekhamera adlala indima ebalulekile ekwenzeni kube nokuphendula okusheshayo nokusebenzayo ezingozini, kanye nasekwenzeni ngcono izimiso zokuphepha zesikhathi esizayo ngokuhlaziywa ngemuva kwesehlakalo:
Ukuqonda Isimo Sangempela: Ngesikhathi esiphuthumayo, amamojuli ekhamera ahlinzeka ngegumbi lokulawula ukuphepha ngombono obanzi, osesikhathini sangempela ngalesi sigameko. Lokhu kuvumela amaqembu okuphendula ukuthi ahlaziye ubunzima besimo, abone abasebenzi abavalelwe, futhi asebenzise izinsiza (isibonelo, amaloli omlilo, amaqembu osizo) ngempumelelo kakhudlwana. Ngokwesibonelo, ngesikhathi somlilo omncane endaweni yokukhiqiza uwoyela eTexas, izithombe zekhamera zakhombisa ukuthi umlilo wawuvaleleke esitsheni sokugcina izinto, okwavumela iqembu lokuphendula ukuthi lisebenzise isicishamlilo esiphathwayo esikhundleni sokuvula uhlelo lonke lokucisha umlilo lwe-rig, ngaleyo ndlela kuncishiswe ukuphazamiseka kokusebenza.
• Ukuqapha Ukubalekela: Amamojuli ekhamera abekwe ezindaweni zokuphuma, eziteshini zezikebhe zokuhlenga, kanye namaphuzu okubuthana angakwazi ukuqapha inqubo yokubalekela, eqinisekisa ukuthi abasebenzi bayahamba ngokuphepha nangempumelelo. Uma kutholwa isithiyo (isib. isitebhisi esigcwele abantu), uhlelo lungaxwayisa ithimba lokuphendula, elingaqondisa abasebenzi kwezinye izindlela. Lokhu kusiza ukuvimbela ukugadla futhi kuqinisekise ukuthi akekho umsebenzi oshiywe ngemuva.
Izinsalela Ngemuva Kwesigameko: Ikhamera enekhwalithi ephezulu iyigugu kakhulu ekuhlaziyeni ngemuva kwesigameko. Ivumela amaqembu ezokuphepha ukuthi abuyekeze ukulandelana kwezehlakalo, athole imbangela eyinhloko yengozi, futhi enze izinyathelo zokulungisa. Ngokwesibonelo, ngemuva kwesigameko sokuvuza kwegesi endaweni yokugada olwandle, ikhamera yabonisa ukuthi ukuvuza kwabangelwa yivalvu eyayinephutha, eyayingahlolwanga kahle ngesikhathi sokugcinwa. Lokhu kwaholela enkampanini ukuthi ibuyekeze izinqubo zayo zokugcinwa futhi yenze izivivinyo ezivame kakhudlwana zamavalvu.
4. Ukuqapha kanye Nokuhambisana Nemvelo
Izingozi ezivela emisebenzini yama-oil rig zingaba nemiphumela emibi kakhulu kwezemvelo, njengokuphuma kukaphethiloli nokukhishwa kwamakhemikhali. Amamojuli ekhamera asiza ukuqapha izingozi zemvelo futhi aqinisekise ukuthobela imithetho yezemvelo:
UkuThola Ukuvuza Kwe-oyile: Amamojuli ekhamera ahlome ngezihlonipho ezibonakalayo (hyperspectral sensors) angathola ukuvuza kwe-oyile emanzini azungeze izindawo zokumba uwoyela zasolwandle, ngisho nasezindaweni ezikhanyisa kancane. Lezi zihlonipho zingahlukanisa phakathi kwe-oyile nezinye izinto (isibonelo, imifino yasolwandle, imfucumfucu) ngokuhlaziya isiginesha ehlukile ye-oyile. Ukuthola kusenesikhathi ukuvuza kwe-oyile kuvumela amaqembu ophendulayo ukuthi akwazi ukulawula nokuhlanza ukuvuza ngokushesha, kunciphise umonakalo emvelweni futhi kunciphise izinhlawulo zokungalandeli imithetho efana ne-U.S. Clean Water Act.
• Ukuqapha Ukukhishwa: Amamojuli ekhamera angakwazi futhi ukuqapha ukukhishwa komoya kusuka ku-rig, njengomsi nezinto ezincane, aqinisekisa ukuthobela imithetho yekhwalithi yomoya. Ngokuhlaziya umbala nokuminyana kokukhishwa, uhlelo lungathola ukungcola okweqile futhi lixwayise ithimba lezokuphepha ukuthi liphenye imbangela (isibonelo, i-incinerator engasebenzi).
Ububuchwepheshe Obubalulekile Obunamandla Amamojuli Ekhamera Esizukulwane Esilandelayo Ye-Oil Rigs
Ukuphumelela kwamamojula ekhamera emisebenzini yokuphepha yama-oil rig kuqhutshwa ubuchwepheshe obuhlukahlukene obusezingeni eliphezulu obuvumela ukuthi basebenze ezindaweni ezinzima futhi banikeze imininingwane ehlakaniphile:
I-Ruggedized Hardware Design: Amamojula ekhamera esizukulwane esilandelayo akhiwe ngezinto eziqinile njengensimbi engagqwalile kanye ne-aluminium, anezilinganiso ze-IP68 zokumelana namanzi nothuli. Aphinde akhelwe ukubekezelela amazinga aphezulu okudlidliza nokushaqeka, okwenza afanele ukusetshenziswa kumadeki okubhola nezinye izindawo ezithintekayo. Amanye amamojula afika nezikrini ezishisayo ukuze kuvinjelwe ukufiphala nokubanda ezindaweni ezibandayo.
I-Edge Computing: Ukugwema ukubambezeleka ekudluliseleni idatha—into ebaluleke kakhulu emikhunjini yasolwandle enokuxhumana okulinganiselwe—amamojuli ekhamera afakwe amakhono e-edge computing. Lokhu kusho ukuthi ukuhlaziywa kwe-AI kwenziwa endaweni yekhamera, kunokuba kwenziwe esikhungweni sedatha esikude. Izaziso ezibalulekile neziqeshana zevidiyo ezicindezelwe kuphela yizo ezithunyelwa egumbini lokulawula, kunciphisa ukusetshenziswa kwe-bandwidth kuqinisekise ukuphendula ngesikhathi sangempela.
• Ukuqopha izithombe nge-Thermal ne-Hyperspectral: Amakhamera okuqopha izithombe nge-Thermal athola imifanekiso yokushisa, okwenza alungele ukuthola imililo, ukuvuza kukagesi, nokushisa ngokweqile kwemishini ezimweni lapho kungabonakali kahle khona. Ngakolunye uhlangothi, ukuqopha izithombe nge-Hyperspectral kuthwebula idatha kumabhande amaningi espectrum, okwenza ukwazi ukuthola izinto ezingabonakali njengamafutha negesi.
• Ukuxhumana nge-5G ne-Satellite: Ezindaweni zokuguguda ezisogwini lolwandle, ukuxhumana okuthembekile kubalulekile ukudlulisa idatha yekhamera egumbini lokulawula. Ukuxhumana nge-5G ne-satellite kunikeza ukuxhumana okusheshayo, okubambezeleka kancane, kuqinisekisa ukuthi izaziso zesikhathi sangempela nemifudlana yevidiyo zilethwa ngaphandle kokulibala. Lokhu kubaluleke kakhulu ezindaweni zokuguguda ezikude ezisogwini lolwandle ezikude kakhulu nezokuxhumana ezisogwini.
Isifundo Sokuphumelela: Indlela Amamojuli Ekhamera Awehlise Ngayo Izingozi ngo-65% Endaweni Yokuguguda Esogwini Lolwandle
Ukuze sichaze umthelela wangempela wezinto zekhamera ekuvikelekeni kwezindawo zamafutha, ake sihlolisise isifundo secala sezinga elikhulu lezinga lamafutha olwandle oluseNyakatho ye-Atlantic. Ngaphambi kuka-2022, leli zinga lalibhekane nezingozi ezimaphakathi kwezi-8 zokuphepha ngonyaka, okubandakanya imililo emikhulu emi-2 kanye nokuvuza kwegesi okumaphakathi kwezi-3. Ngo-2022, umsebenzisi wafaka uhlelo oluphelele lwezinto zekhamera oluhlanganisa amakhamera angu-50 anikwe amandla yi-AI, okubandakanya amakhamera okushisa, amakhamera okubonisa igesi, namakhamera okuhambisana ne-PPE, ahlangene nokubala komphetho kanye noxhumano lwe-5G.
Engonyakeni wokuqala wokufakwa, inani lezehlakalo zokuphepha lehla lisuka ku-8 laya ku-3—ukuncipha okungu-65%. Ukuthuthukiswa okubalulekile kufaka phakathi:
Izimo ezimbili ezingaba nomlilo zatholwa futhi zacinywa kungakapheli amasekhondi angu-10 kusukela ziqala, zavimbela ukuthi zingasakazeki.
• Izinga lokuthobela i-PPE lenyuke lisuka ku-82% laya ku-98%, kuncishiswe ingozi yokulimala ngenxa yezinto eziwayo nokuchayeka emakhemikhali.
Ukuvuza kwegesi kwatholwa ngemizuzu engu-30 ngaphambi kokuba kutholwe ngezitholi zegesi ezijwayelekile, okuvumele amaqembu okugcinwa ukuthi alungise ngaphambi kokuba kufinyelele ezingeni eliqhumayo.
• Isikhathi sokubalekela phansi ngesikhathi sokuzilolongela izimo eziphuthumayo sincishiswe ngo-40%, ngenxa yokulandelelwa kwabasebenzi ngesikhathi sangempela.
Umlawuli ukubikele ukuthi uhlelo lwamamojuli ekhamera lulondoloze cishe u-R2.5 million ezindlekweni ezingaba khona zengozi nesikhathi esilahlekile ngonyaka wokuqala lodwa.
Izinto Okufanele Zicatshangelwe Lapho Kufakwa Amamojuli Ekhamera Ezindaweni Zokugawula Uwoyela
Nakuba amamojuli ekhamera enikeza izinzuzo ezinkulu zokuphepha, ukufakwa kwawo ngempumelelo kudinga ukuhlelwa ngokucophelela nokucatshangelwa izinselelo ezihlukile zezindawo zokugawula uwoyela. Ngezansi kunezinto ezibalulekile okufanele uzicabangele:
Ukuhambisana Nemvelo: Khetha amamojuli ekhamera akhelwe ngokukhethekile izindawo zamafutha, anezici ezidingekayo zokuqina (isib. ukumelana nokugqwala, ukubekezelelana kwezinga lokushisa, ukumelana nokudlidliza). Amapulangwe asemanzini adinga amamojuli angamelana nokuchayeka emanzini anosawoti, kanti amapulangwe asezweni angadinga ukuvikelwa ekungcoleni kanye namazinga okushisa aphezulu.
Ukuhambisana Nemithetho: Qinisekisa ukuthi uhlelo lwekhamera luhambisana nemithetho namazinga embonini, njengalawa abekwe yi-Occupational Safety and Health Administration (OSHA), i-International Maritime Organization (IMO), kanye nezinhlaka zemvelo zasendaweni. Lokhu kufaka phakathi ukuhambisana nemithetho yobumfihlo bedatha, njengoba ukubona ubuso nokulandelela abasebenzi kungase kube ngaphansi kwemithetho eqinile kwezinye izifunda.
• Ukuhlanganiswa Nezinhlelo Eziyinhloko: Uhlelo lwemojuli yekhamera kufanele luhlanganiswe kahle nezinhlelo zokuphepha ezikhona, njengezinhlelo zokucisha umlilo, izitholi zegesi, kanye nezinkundla zokuphendula ezibucayi. Lokhu kuqinisekisa ukuthi izexwayiso ziqala izimiso ezifanele zokuphepha nokuthi idatha ihlanganiswa ukuze kube lula ukuqapha.
• Ukuqeqeshwa Nokwamukelwa: Nikeza ukuqeqeshwa okuphelele kubasebenzi be-rig namaqembu ezokuphepha ngendlela yokusebenzisa uhlelo lwekhamera, okubandakanya nendlela yokuphendula ezixwayisweni nokuthi kungafinyelelwa kanjani futhi kuhlaziywe kanjani izithombe zevidiyo. Ukwamukelwa kwabasebenzi kubalulekile ukuze kuphumelele ukwamukelwa, ngakho-ke kubalulekile ukuxhumana ngezinzuzo zohlelo (isibonelo, ukuphepha okuthuthukisiwe, ukunciphisa ingozi yengozi) nokubhekana nanoma yiziphi izinkathazo mayelana nobumfihlo.
Amathrendi Esikhathi Esizayo: Umngcelele Olandelayo Wamamojuli Ekhamera Ekuphepheni Kwama-Oil Rig
Njengoba ubuchwepheshe buqhubeka nokuthuthuka, amamojuli ekhamera alindeleke ukuba abe yingxenye ebaluleke kakhulu ekusebenzeni kwezokuphepha kwe-oil rig. Ngezansi kunezibonelo zezitayela ezivelayo ezizobumba ikusasa lezinhlelo zokuphepha ezisekelwe ekhamera:
I-AI-Powered Predictive Analytics: Amamojula ekhamera yesikhathi esizayo azosebenzisa ama-algorithm okufunda ngomshini ukubikezela izehlakalo ezingenzeka ngaphambi kokuba zenzeke. Ngokwesibonelo, ngokuhlaziya idatha yevidiyo yomlando kanye nezilinganiso zokusebenza kwemishini, uhlelo lungakwazi ukukhomba izindlela ezingaphambi kokwehluleka kwemishini noma izehlakalo zokuphepha, okuvumela ukugcinwa okunqanda ukulimala kanye nokunciphisa ubungozi.
Ukuhlanganiswa nama-Drone namaRobhothi: Amamojuli ekhamera azohlanganiswa nama-drone nama-robhothi azisebenzelayo ukuhlinzeka ngokumbozwa kwezindawo ezilukhuni ukufinyelela kuzo ze-rig, njengasezicongweni zomlilo wombhobho noma ezindaweni ezivalekile. Ama-drone anamakhamera okubona ukushisa negesi angakwazi ukwenza izinsolo zokuphepha njalo ngaphandle kokubeka abasebenzi engozini.
• Ukuhlanganiswa kwe-Augmented Reality (AR): Ubuchwepheshe be-AR buzobeka idatha yekhamera yesikhathi sangempela nolwazi olwengeziwe (isb., imininingwane yezinto zokusebenza, izimiso zokuphepha, imizila yokuphuma) ezikrinini zokubonisa zegumbi lokulawula noma ezibukweni ze-AR zabasebenzi. Lokhu kuzothuthukisa ukuqonda kwesimo futhi kuvumele ukwenziwa kwezinqumo okusheshayo, okunolwazi olwengeziwe phakathi nezimo eziphuthumayo.
• Ukuxhumana kwe-Internet of Things (IoT): Amamojuli ekhamera azoba ingxenye yohlelo olukhulu lwe-IoT emkhunjini, axhumane nezinye izinzwa (isb., izinzwa zokushisa, izinzwa zokucindezela) ukuze kunikezwe umbono ophelele wokuphepha komkhumbi. Le ndlela ehlanganisiwe izovumela ukutholwa kwezengozi okunembayo nezinqumo ezingcono zokuphepha.
Isiphetho
Amamojuli ekhamera aseke enza intuthuko enkulu kusukela kumathuluzi okubhekwa nje aye kumaqabane okuphepha asebenzayo, ahlakaniphile emisebenzini yamaloli kawoyela. Ngokusebenzisa ubuchwepheshe obuthuthukisiwe njenge-AI, i-edge computing, nokuthwebula izithombe ezishisayo, avumela ukutholwa kwezengozi ngendlela engoqobo, ukwaziswa ngesikhathi sangempela, kanye nempendulo esebenza kahle kakhulu ezimweni eziphuthumayo—kunciphisa kakhulu ingozi yengozi nokuthuthukisa ukuphepha kwabasebenzi kanye nemvelo. Isifundo samacala se-rig yasolwandle iNorth Sea sibonisa ukuthi lezi zinhlelo ziletha imiphumela ebonakalayo, ngokuncipha okukhulu ezingozi zokuphepha kanye nezindleko ezihambisana nazo.
Njengoba imboni kawoyela negesi iqhubeka nokubeka phambili ukuphepha nokusimama, ukwamukelwa kwamamojuli ekhamera esizukulwaneni esilandelayo kuzosabalala kakhulu. Ngokutshala imali kulobu buchwepheshe, izinkampani zikwoyela negesi zingakwazi ukuhambisana nezimfuno zomthetho kuphela kodwa futhi zivikele izimpahla zazo ezibaluleke kakhulu—abasebenzi bazo kanye nemvelo. Ikusasa lokuphepha kwezinsika zikwoyela lihlakaniphile, liyavikela, futhi libonakala—amamojuli ekhamera angumongo walokhu kushintsha.
Uma ubheka ukuthuthukisa ukuphepha kwemisebenzi yakho ezinsikeni zikwoyela, cabanga ngokubambisana nomhlinzeki wezobuchwepheshe ogxile kumamojuli ekhamera aqinile, anikwe amandla yi-AI enzelwe imboni kawoyela negesi. Ngohlelo olufanele, ungaguqula ukuqapha okungasebenzi kube ukunciphisa ubungozi okusebenzayo, udale indawo yokusebenza ephephile futhi ephumelela kakhudlwana yeqembu lakho.
Uxhumane
Sicela uxhumane nathi uhambele
WhatsApp
WeChat