Analysis Of Automated Guided Vehicles 'Technical Methods And Applications
Automated guided vehicle (AGV) ke sesebelisoa se itirisang se khonang ho phetha mesebetsi ntle le motho ea sebetsang, ho sebelisa{0}} litsela tse seng li setiloe kapa ho tsamaea ka mokhoa o ikemetseng. Theknoloji ea eona ea mantlha e kenyelletsa ho sesa le ho beha maemo, moralo oa litsela, pono ea tikoloho, le taolo ea motsamao, 'me e sebelisoa haholo ho etsa thepa, ho boloka thepa, thepa le tlhokomelo ea bophelo bo botle.
Mabapi le ho tsamaea le ho beha maemo, li-AGV li itšetlehile haholo ka tataiso ea motlakase, ho tsamaea ka laser, ho tsamaea ka mahlo, le ho tsamaea ka mokhoa o sa sebetseng. Electromagnetic Guide e sebelisa lithapo tse epetsoeng ho hlahisa matla a khoheli, ao AGV e ahileng-ka lisensara e a fumana ho latela tsela. Laser navigation e sebelisa lidar ho skena liphanele tse bonts'ang tikolohong e haufi le ho lekanya boemo ba eona. Mokhoa oa ho sheba o sebelisa kh'amera-boitsebiso bo entsoeng ka litšoantšo 'me bo bo kopanya le theknoloji ea SLAM (Simultaneous Localization and Mapping) ho fumana mokhoa oa ho itsamaisa o le mong maemong a feto-fetohang. Ho sesa ho sa sebetseng ho sebelisa li-gyroscopes le accelerometer ho bala phallo, empa ho hloka ho hokahana le mahlale a mang bakeng sa ho nepahala ho ntlafetseng.
Thero ea litsela ke senotlolo sa ts'ebetso e nepahetseng ea li-AGV 'me e arotsoe ka moralo oa litsela tsa lefats'e le ho qoba litšitiso tsa lehae. Moralo oa lefats'e ka kakaretso o rera esale pele tsela e nepahetseng ho latela lintlha tsa 'mapa, ha moralo oa sebaka sa heno o its'etleha ho{1}}lintlha tsa 'nete tsa sensor ea nako ho lokisa litsela ho qoba mathata. Li-algorithms tse tloaelehileng li kenyelletsa algorithm ea A *, algorithm ea Dijkstra, le mokhoa oa maiketsetso oa tšimo.
Theknoloji ea ho lemoha tikoloho e nolofalletsa li-AGV ho tseba lintho tse potolohileng, tse kang ba tsamaeang ka maoto, lishelefo, kapa lisebelisoa tse ling tsa thepa, ka lidar, li-sensor tsa ultrasonic, kapa lik'hamera, ho netefatsa ts'ebetso e sireletsehileng. Taolo ya motsamao e kenyelletsa taolo ya lebelo la AGV, taolo ya seteraeke, le{1}}dithulaganyo tse di hokahantsweng tsa dikoloi tse ngata, hangata ho sebediswa taolo ya PID kapa ditharabololo tsa advanced model predictive control (MPC) ho kaonefatsa tshebetso.
Nakong e tlang, ka ho kopanngoa ha bohlale ba maiketsetso le mahlale a 5G, likoloi tse tataisoang ka boiketsetso li tla hola ho isa boipusong bo boholo le ho ikamahanya le maemo, ho ntlafatsa boemo ba bohlale ho tsa thepa le ho etsa tlhahiso.