Kule minyaka eyishumi edlule, ukuthuthukiswa kobuchwepheshe kuye kwashintsha umhlaba futhi izimoto ezizenzakalelayo nazo. Izimoto ezizimele, ezivame ukubizwa ngokuthiizimoto eziqondisayo ezizenzakalelayo (AGVs), athathe ukunaka komphakathi ngenxa yekhono lawo lokuguqula imboni yezokuthutha. Lezi zimoto zisebenzisa inhlanganisela yezinzwa, amakhamera, i-lidar, namasistimu afana ne-lidar ukuze athole futhi aphendule endaweni yawo. Kulesi sihloko, sizocubungula izindlela ezihlukahlukene ama-AGV angakwazi ngayo indawo ezungezile.
Ziyini Izimoto Eziqondisayo Ezizenzakalelayo?
An imoto yokuqondisa okuzenzakalelayowuhlobo lwerobhothi lezimboni elihlelelwe ukuhambisa izinto kusuka endaweni eyodwa kuya kwenye ngaphandle kosizo lomuntu. Ama-AGV asetshenziswa ezindaweni zokugcina izimpahla, ezimbonini zokukhiqiza, nakwezinye izindawo zezimboni ukuthutha izinto ezingavuthiwe, izimpahla eziqediwe, nakho konke okuphakathi. Basebenzisa izinzwa nama-algorithms esofthiwe abavumela ukuthi bathole futhi bazulazule ezindaweni ezithiyo. Ama-AGV eza ngamajamo nosayizi abaningi, kusukela emalolini amancane kuya emalolini amakhulu azimele akwazi ukuhambisa zonke izimpahla zenani lezimpahla.
Izinhlobo zezinzwa ezisetshenziswa ku-Automatic Guide Vehicle
Ama-AGV ahlome ngezinzwa eziningi ukuze awasize azulazule endaweni yawo. Lezi zinzwa zikwazi ukubona yonke into kusukela ezindongeni nezithiyo ukuya endaweni yezinye izimoto emgwaqeni. Ake sibhekisise ezinye zezinhlobo ezivame kakhulu zezinzwa ezisetshenziswa kuma-AGV:
1. Izinzwa ze-LiDAR
I-LiDAR imele i-Light Detection and Ranging. Ikhipha imishayo ye-laser egxumayo ezintweni bese ibuyela kunzwa, ivumela inzwa ukuthi idale imephu ye-3D yendawo ezungezile. Izinzwa ze-LiDAR zingathola ezinye izimoto, abahamba ngezinyawo, nezinto ezinjengezihlahla noma izakhiwo. Zivame ukutholakala ezimotweni ezizimele futhi zingaba ukhiye wokudala izimoto ezizimele ngokugcwele ngolunye usuku.
2. Izinzwa ze-GPS
Izinzwa ze-GPS zisetshenziselwa ukunquma indawo ye-AGV. Banikeza indawo enembile ngokusebenzisa amasathelayithi azungeza uMhlaba. Nakuba ubuchwepheshe be-GPS buyintsha, iyithuluzi elibalulekile lokuzulazula kuma-AGV.
3. Amakhamera
Amakhamera athwebula izithombe zendawo ezungezile abese esebenzisa ama-algorithms esofthiwe ukuze awatolike. Amakhamera avame ukusetshenziselwa ukubona izimpawu zomzila nezimpawu zethrafikhi, okuvumela imoto ukuthi ihambe emigwaqweni ngokuzethemba.
4. Amayunithi Okulinganisa Angasebenzi
Amayunithi Okulinganisa Angasebenzi (IMUs) asetshenziselwa ukunquma ukuma kwe-AGV emkhathini. Ngokuvamile zisetshenziswa ngokuhlanganyela nezinye izinzwa, njenge-LiDAR, ukuze zinikeze isithombe esigcwele sendawo ye-AGV.
Ama-AGV Ayizula Kanjani Indawo Ebazungezile?
Izimoto eziziqondisayo zisebenzisa inhlanganisela yezinzwa nama-algorithms esofthiwe ukuze zizulazule endaweni yazo. Isinyathelo sokuqala ukuthi i-AGV idale imephu yendawo esebenza kuyo. Le mephu izosetshenziswa njengendawo eyinkomba ye-AGV ukuze izule endaweni ezungezile. Uma imephu isidaliwe, i-AGV isebenzisa izinzwa zayo ukuze ithole indawo yayo ngokuhlobene nemephu. Ibese ibala indlela engcono kakhulu ongayithatha ngokusekelwe kumephu nezinye izici ezifana nethrafikhi nezithiyo.
I-algorithms yesofthiwe ye-AGV icabangela izici eziningi lapho inquma umzila ongcono kakhulu. Isibonelo, ama-algorithms azocabangela ibanga elifushane kakhulu phakathi kwamaphoyinti amabili, isikhathi esizosithatha ukusuka kwelinye iphuzu ukuya kwelinye, kanye nezithiyo ezingaba khona endleleni. Isebenzisa le datha, i-AGV inganquma indlela engcono kakhulu okufanele ithathwe.
Ama-AGV nawo anekhono lokuzivumelanisa nezimo ezishintshayo. Isibonelo, uma kuvela isithiyo esisha ebesingekho ngenkathi i-AGV iqala ukwenza imephu yendawo yayo, izosebenzisa izinzwa zayo ukuze ithole isithiyo futhi ibale kabusha indlela. Lokhu kujwayela ngesikhathi sangempela kubalulekile ukuze ama-AGV asebenze ngokuphepha ezindaweni eziguqukayo ezifana nezindawo zokugcina izimpahla kanye nezitshalo zokukhiqiza.
Izimoto eziziqondisayo zishintsha imboni yezokuthutha, futhi indlela ezihamba ngayo endaweni yazo ibalulekile empumelelweni yazo. Ngokusebenzisa inhlanganisela yezinzwa nama-algorithms esofthiwe, ama-AGV angathola futhi aphendule endaweni yawo ngesikhathi sangempela. Nakuba kusenezinselele okufanele zinqotshwe ngaphambi kokuba ama-AGV abe yinsakavukela, ukusungulwa kwezobuchwepheshe kusisondeze ekusaseni elizimele lezokuthutha. Ngokuthuthuka okuqhubekayo nokuhlolwa, maduze sizobona ukuthi ama-AGVs ayishintsha kanjani imboni yezokuthutha eminyakeni ezayo.
Isikhathi sokuthumela: Aug-16-2024
