Ukuthuthuka kwezinhlelo zokulawula izindiza ezingaphezu kwemoto (UAVs) kwenza ukuthi kube khona umthelela wokuthuthuka okumele kutholakale ukudetektha i-Drone iteknoloji. Lezi zinhlelo ezihlakaniphile zisebenza njengomlando wokuqala ngokuhlukunyezwa ngezindlela ezingavumelekileyo zokusebenzisa izindiza, zihlengelela emakhaya amathile, ubumnandi, nezinhlalakahle. Ngemuva kokuthi iteknoloji yezindiza ithuthuke, izinhlelo zokudala zazigcweleka futhi ziyobala kakhulu, zibambisana nezinhlelo ezahlukene zokubona ukuze zinike amandla okubona phambi kwesimo sobuchwepheshe nokulinganisa umbono.
Yesimanje ukudetektha i-Drone izinhlelo zihlala ihlinzeki ekugcineni isimo sangaphakathi, zinikeza imfundo yesikhathi sonke nokushumayela ngokushesha uma izindiza ezingavumelekile zingena emkhawulweni ohlungeneyo.
Ukutholakala kwegameli le-frequence (RF) kuyisisekelo sezinhlelo zokuthola izivumelwano. Lezi zinhlelo zisebenza ngokuthola izixhumanisi ezithile phakathi kwezivumelwano nezomlando. Ukutholakala kwegameli le-RF kungathola indawo yesivumelwano kude kakhulu kusuka emanzini amashumi angama-kilometara, ngakho ke kuyisicelo esihle sokushukuma kuqala. Le thekhenoloji isebenza ngokuchaneka izici zesixhumanisi, kufaka phakathi izimiso ze-frequence nezintaka zesixhumanisi, ukuze kuhlukanwe ukuxhumanisa kwezivumelwano kusuka kuzo zonke izixhumanisi ezingaphezu kwale.
Izinhlelo ezahlelekileyo zokuthola izivumelwano zegameli le-RF zingadinga imininingwane ye-telemetry, futhi zinikeza imininingwane ethembekile ngendlela isivumelwano siyahlala phezu, ubude bephansi, futhi nganjalo futhi indawo yomlando wesivumelwano. Lokhu kuncike kakhulu kubasebenzi basecuriwayo abathintana nokuphulaphula okungafanele.
Ubuchwepheshe be-radar buveza enye indlela enamandla yokuthola ama-drone, esebenza kahle ngokukhethekile ekuboneni ama-UAV angase asebenze ngokuzimela noma ngokuxhumana okufihliwe. Izinhlelo zanamuhla zamaradar ezakhelwe ngokukhethekile ukuthola ama-drone zingalandelela izinhloso eziningi ngesikhathi esisodwa kuyilapho zihlunga izinyoni nezinye izinto ezingesona usongo.
Lezi zinhlelo zamaradar ezikhethekile zisebenzisa ama-algorithm athuthukile okucubungula isignali ukuze zithole izici eziyingqayizivele zokuhamba nokusayina kwama-drone. Ngokungafani nezinhlelo zamaradar ezivamile, amaradar akhethekile ezindizeni ezingenazimpukane asebenza ngamanani alungiselelwe izinto ezincane ezindiza phansi, enikeza ukumbozwa okuhle ngisho nasezimweni ezinzima zemvelo.
Izinhlelo zokuzwa umsindo we-drone zisebenzisa ama-microphone ahlakaniphile ukuze zithole futhi zihlole imisindo ehlukile ekhiqizwa amamodeli e-drone ahlukahlukene. Lezi zinhlelo zigcina imininingwane eminingi yamaphethini omsindo we-drone aziwayo, okwenza kube lula ukuthola ngokushesha izinhlobo ezithile ze-drone. Lobu buchwepheshe busebenza kahle ezindaweni zasemadolobheni lapho ukubona izinto kungase kube yinselele ngenxa yezakhiwo nezithiyo.
Ama-algorithm okufunda ngomshini athuthukisa njalo ikhono lokuthola umsindo ngokufunda ukuhlukanisa imisindo yama-drone nomsindo wasemvelweni, kuhlanganise izimoto, imishini yokwakha nezindiza. Lokhu kufunda okuguquguqukayo kuqinisekisa ukuthi kutholakala izinto ezinembile kakhulu kuyilapho kuncishiswa imiphumela engamanga.
Izinhlelo zanamuhla zokuhlola ama-drone ngokuvamile zihlanganisa amakhono okuhlola ama-optical kanye nama-thermal imaging ukuze kutholakale ukwaziswa okuphelele. Amakhamera anokucaca okuphezulu anekhono elinamandla lokuvula ama-zoom angalandelela ama-drone phakathi nosuku, kuyilapho izinzwa ezishisayo zigcina ukuqapha phakathi nemisebenzi yasebusuku. Ukuhlanganiswa kwalezi zindlela zobuchwepheshe kwenza kube nokwenzeka ukuqapha okuqhubekayo kungakhathaliseki ukuthi kunjani ukukhanya.
Ama-algorithm athuthukile okucubungula izithombe ahlola idatha ebonakalayo ngesikhathi sangempela, akhombe izici ze-drone ezinjengosayizi, isivinini, namaphethini endiza. Le ndlela yokusebenzisa izinzwa eziningi ithuthukisa kakhulu ukunemba kokutholwa futhi inciphise ama-alamu amanga.
Ukwehlisa kwebalimi yedirone kuyaphila kakhulu ngendlela yokuprosesa nokuphendula ngokushesha izikhuthazo. Izinhlelo ezintsha zinezindawo zokubophezela nezokuphatha ezenza abasebenzi besiqiniseko bafanele ukwazi kwezimo ngomzuzu. Lezi zindawo zombonisa ukulinganisa kwezikhuthazo ngomzuzu, zilandela izihlalo eziningi ngokufanayo, futhi ziqukethe ngezinhlelo zisesiqiniseko esiseduze.
Izinhlelo ezihlelekile kungahle kenza izimiso ezitholakala ngaphambi kwemvelo, njenge-kuqaliswa abasebenzi besiqiniseko, ukuvula izindlela zokulindela, noma ukuqashiswa nezinhlelo zinesiqiniseko ezinye. Lokhu kwenza ukuthi izimiso ziphendule ngokushesha futhi kungenhance ukusebenza kwezinhlelo yeqiniseko.
Iziphakamiso zomqondo wodolobha zilandelayo zihlanganisa izinkundla ezinamandla zokuhlola okungaphezu kokudala kuphela. Lezi zinhlelo zihlola izinhlobo zezemisebenzi zedolobha, zibonakalisa izindawo ezingavulwa kuzo, futhi zilungele ubukhona bokungcoloba ngokusho kwemisebenzi yedolobha. Izimiso zomfundi weminyango ihlawula izimpahla eziningi ukuze ibone izinhlobo futhi ibeke amathuba okungcoloba.
Lezizinkundo zokuhlola zinika amagunya okulondoloza ukuthutha okwengeziwe ngokubona izinhlobo zezemisebenzi zedolobha emkhawulweni wabo. Lendlela yokuphumelela empeleni kusiza izigodi ukuhlala phambi kwemithetho edolobha enguqukayo.
Ikusasa lobuchwepheshe bokuthola ama-drone lisetshenziswa ekuhlakanipheni okufakelwayo okuthuthukile. Izinhlelo ezisebenza nge-AI zizonikeza ukuhlukaniswa okungcono kwezinsongo, izikhathi zokuphendula ezisheshayo, nokubikezela okunembile kakhulu kokuziphatha kwama-drone. Lezi zinhlelo ziyofunda emcimbini ngamunye wokuthola, zithuthukise njalo ikhono lazo lokuhlonza nokuhlukanisa izinsongo ezingaba khona.
Ama-algorithms okufunda ngomshini azokwenza ukuthi izinhlelo zokuthola zilungele izinhlobo ezintsha zokuziphatha kwama-drone ngokuzenzakalelayo, ziqinisekise ukusebenza okuqhubekayo ngokumelene nezinsongo eziguqukayo. Ukuhlanganiswa kwe-AI kuzophinde kuthuthukise ikhono lohlelo lokuhlukanisa phakathi kokusebenza kwama-drone okugunyaziwe nokungagunyaziwe.
Ukulungiswa kwebalindeli be-drones kuthatha indlela yezinhlelo zokuxhunywa ezahlukanisa idatha phakathi kwezinketho ezimbili noma ngaphezulu. Le ndlela ikhiqiza isikrini esijwayelekile sokubalula, sibekisa ubunikwane nokunciphisa izindawo ezingabekho konke okubaluliwe. Lezi zinhlelo zixhunywe zingabala i-drone emasimini amakhulu futhi zihlwe ngcono izimpendulo.
Izinqumano ezizofika kuzozungezwa kuzoba nekuhlanganiswa okuningi nenjongo yesidima senhlanhla futhi nezinye izinhlelo zokuphepha, ukudala indlela enemphekayo kanye enhlosoka ngokungafanelekile kwezenzo ze-drone.
Ubude buhlukana ngokulinganiselwe kwezobuchwepheshe esetshenzisiwe. Izinhlelo zokubalula kwe-RF zingabona i-drone kusuka ku-1-5 km phezulu, ngelishwa izinhlelo ze-radar zingahlelela lo buso ku-10 km noma ngaphezulu. Izinhlelo zokushaya izwi zinezindlela ezincane ngokuvamile eziyizingu-500m ku-1km, futhi izinhlelo zokubuka kuyadingeka imithetho yendawo kanye nezobuchwepheshe zabhalo.
Yebo, izinhlelo ezintsha zokuthola i-drone zingahlola izinhlelo ezithile ze-drone ngendlela eyodwa. Ukulungiswa kwe-RF kwenza ukuthi kubonakale isiginingo sezobuchwepheshe esihlukile, izinhlelo zengoma zihambisana ngezimiso zengoma, nezinhlelo zokubuka zingah comparisona okubonakalayo kwi-databases yezinhlelo ezaziwayo ze-drone.
Izinhlelo eziphuculiweyo zokuthola i-drone zakhelwe ukulandelela amathuba amabili ngokufanayo. Zisebenzisa izibalo ezinhle ekuprosesini nokuhlanganisa okuningi kwesithuthi ukuze zilindele kahle amakhanda amabili ngelinye futhi azenze ubuyekezo obuhlukeneyo bokungcolisa ngalunye. Izinhlelo zokommandisa nokohlala kuzodinga kuzidinga okuphambene ngokwemithetho yesivumelwano nemgwaqo kwezindawo ezinamandla.
Izindaba Ezishisayo
Shenzhen Longyuan Technology inikeza izinhlelo zokuxhuma i-drone ezinhle kwezimithambo, izithadlana nezinfrastrakti eziphambene. Ukuqonda kwe-RF ngokushesha, ukulandelela nokukhawula nendawo enkulu yokukhathala nezinhlelo ezifakwe ngokwezifiso. Kuthandwa kumathibele wasekhaya nezwe ngokubangelwa.
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