Kule minyaka ilishumi idlulileyo, uphuhliso lwetekhnoloji luye lwaliguqula ihlabathi kwaye iimoto ezizisebenzelayo azinjalo. Izithuthi ezizimeleyo, ezihlala zibizwa ngokubaizithuthi ezizikhokelayo (AGVs), baye bathimba ingqalelo yoluntu ngenxa yamandla abo okuguqula ishishini lezothutho. Ezi zithuthi zisebenzisa indibaniselwano yeenzwa, iikhamera, i-lidar, kunye neenkqubo ezifana ne-lidar zokubona nokuphendula kwindawo yazo. Kweli nqaku, siya kukhangela kwiindlela ezahlukeneyo ii-AGV ezikwazi ngayo indawo engqongileyo.
Zeziphi iZithuthi eziziKhokelayo?
An isithuthi esizenzekelayoluhlobo lwerobhothi yoshishino eyenzelwe ukuhambisa izinto ukusuka kwindawo ukuya kwenye ngaphandle koncedo lomntu. Ii-AGV zisetyenziswa kwiindawo zokugcina iimpahla, kwizityalo zokuvelisa, kunye nezinye iindawo zoshishino ukuthutha izinto ezikrwada, iimpahla ezigqityiweyo, nayo yonke into ephakathi. Basebenza besebenzisa abenzi boluvo kunye ne-algorithms yesoftware ebavumela ukuba babone kwaye bajikeleze imiqobo. Ii-AGVs ziza ngokweemilo ezininzi kunye nobukhulu, ukusuka kwiilori ezincinci zepallet ukuya kwiilori ezinkulu ezizimeleyo ezikwaziyo ukuhambisa zonke iindawo zokugcina iimpahla.
Iindidi zeeSensors ezisetyenziswa kwi-Automatic Guide Vehicles
Ii-AGVs zixhotyiswe ngoluhlu lwezivamvo zokuzinceda ukuba zijonge indawo ezingqongileyo. Ezi zinzwa ziyakwazi ukubona yonke into ukusuka kwiindonga kunye nemiqobo ukuya kwindawo yezinye izithuthi endleleni. Makhe sijonge ngakumbi kwezinye zezona ntlobo zixhaphakileyo zezivamvo ezisetyenziswa kwii-AGVs:
1. IiSensors zeLiDAR
I-LiDAR imele ukubonwa koKhanya kunye nokuRangi. Ikhupha imiqadi ye-laser ephuma kwizinto kwaye ibuyele kwinzwa, ivumela inzwa ukuba yenze imephu ye-3D yendawo engqongileyo. Izinzwa ze-LiDAR zinokubona ezinye izithuthi, abahambi ngeenyawo, kunye nezinto ezinjengemithi okanye izakhiwo. Zihlala zifumaneka kwiimoto ezizimeleyo kwaye zinokuba sisitshixo ekudaleni iimoto ezizimeleyo ngokupheleleyo ngenye imini.
2. IiSensors zeGPS
Izinzwa zeGPS zisetyenziselwa ukumisela indawo ye-AGV. Babonelela ngendawo echanekileyo ngokusebenzisa iisathelayithi ezijikeleza uMhlaba. Ngelixa itekhnoloji yeGPS ingeyonto intsha, sisixhobo esibalulekileyo sokukhangela kwii-AGVs.
3. Iikhamera
Iikhamera zithatha imifanekiso yendawo engqongileyo kwaye zisebenzise i-algorithms yesoftware ukuyitolika. Iikhamera zihlala zisetyenziselwa ukubona iimpawu zendlela kunye neempawu zendlela, ezivumela isithuthi ukuba sihambe ezindleleni ngokuzithemba.
4. IiYunithi zoMlinganiselo oNgaphakathi
I-Inertial Measurement Units (IMUs) isetyenziselwa ukumisela i-AGV's orientation emajukujukwini. Zihlala zisetyenziswa ngokubambisana nezinye izinzwa, ezifana ne-LiDAR, ukubonelela ngomfanekiso opheleleyo we-AGV's environment.
Ii-AGVs Ziyijonga Njani Imeko Engqongileyo Ebangqongileyo?
Izithuthi ezizikhokelo ezizenzekelayo zisebenzisa indibaniselwano yeenzwa kunye ne-algorithms yesoftware ukuhamba kwindawo yazo. Isinyathelo sokuqala kukuba i-AGV yenze imephu yendawo esebenza kuyo. Le mephu iya kusetyenziswa njengendawo yesalathiso ye-AGV ukuba ihambe ngokusingqongileyo. Emva kokuba imephu idalwe, i-AGV isebenzisa iinzwa zayo ukubona indawo yayo ngokumalunga nemephu. Emva koko ibala eyona ndlela ifanelekileyo yokuthathwa ngokusekwe kwimephu kunye nezinye izinto ezinje ngetrafikhi kunye nemiqobo.
I-algorithms yesoftware ye-AGV ithathela ingqalelo izinto ezininzi xa kumiselwa eyona ndlela ilungileyo. Umzekelo, i-algorithms iya kuthathela ingqalelo owona mgama umfutshane phakathi kwamanqaku amabini, ixesha eliza kulithatha ukusuka kwelinye iphuzu ukuya kwelinye, kunye nemiqobo enokubakho endleleni. Ukusebenzisa le datha, i-AGV inokugqiba indlela efanelekileyo yokuyithatha.
Ii-AGVs nazo ziyakwazi ukuziqhelanisa neemeko eziguqukayo. Ngokomzekelo, ukuba umqobo omtsha ubonakala ungekho xa i-AGV iqala ukubeka imephu yendawo yayo, iya kusebenzisa iinzwa zayo ukuze ibone umqobo kwaye iphinde ibale indlela. Oku kulungelelaniswa kwexesha lokwenyani kubalulekile ukuba ii-AGV zisebenze ngokukhuselekileyo kwiindawo eziguqukayo ezifana neendawo zokugcina iimpahla kunye nezityalo zokuvelisa.
Izithuthi ezizikhokelo ezizenzekelayo ziguqula ishishini lezothutho, kwaye indlela ezihamba ngayo kwindawo yazo ibalulekile kwimpumelelo yazo. Ukusebenzisa indibaniselwano yeenzwa kunye nee-algorithms zesoftware, ii-AGV ziyakwazi ukubona kwaye ziphendule kwindawo yazo ngexesha langempela. Ngelixa kusekho imingeni ekufuneka yoyiswe ngaphambi kokuba ii-AGVs zibe zezona ziqhelekileyo, izinto ezintsha kubuchwephesha zisisondeze kwikamva elizimeleyo lothutho. Ngokuqhubela phambili okuqhubekayo kunye novavanyo, kungekudala siza kubona indlela ii-AGVs ezitshintsha ngayo ishishini lezothutho kwiminyaka ezayo.
Ixesha lokuposa: Aug-16-2024
