Ngokuthuthuka kwesayensi nobuchwepheshe, i-Intanethi Yezinto (i-iot) isibe ubuchwepheshe obusha obukhathalela kakhulu okwamanje. Iyachuma, ivumela konke emhlabeni ukuthi kuxhunywe eduze futhi kuxhumane kalula. Izici ze-iot zikhona yonke indawo. I-Intanethi Yezinto ibilokhu ibhekwa “njengenguquko yezimboni elandelayo” njengoba ilungele ukuguqula indlela abantu abaphila ngayo, abasebenza ngayo, abadlala ngayo nabahamba ngayo.

Kusukela kulokhu, singabona ukuthi uguquko lwe-Internet of Things luqale buthule. Izinto eziningi ezazikhona emqondweni futhi ezazivela kumamuvi esayensi kuphela ziyavela empilweni yangempela, futhi mhlawumbe usuyakuzwa manje.

Ungakwazi ukulawula ukude izibani zendlu yakho kanye ne-air conditioner kusuka efonini yakho ehhovisi, futhi ungabona ikhaya lakho ngamakhamera okuphepha avela ku-
Izinkulungwane zamakhilomitha ukusuka lapha. Futhi amandla e-Intanethi Yezinto adlula kakhulu lokho. Umqondo wedolobha elihlakaniphile lomuntu wesikhathi esizayo uhlanganisa ubuchwepheshe be-semiconductor, ukuphathwa kwezempilo, inethiwekhi, isofthiwe, i-cloud computing kanye nobuchwepheshe be-big data ukudala indawo ehlakaniphile ye-li. Ukwakha idolobha elihlakaniphile elinjalo ngeke kwenzeke ngaphandle kobuchwepheshe bokubeka, okuyisixhumanisi esibalulekile se-Intanethi Yezinto. Njengamanje, ubuchwepheshe bokubeka ngaphakathi, ukubeka ngaphandle kanye nobunye ubuchwepheshe bokubeka buncintisana kakhulu.

Njengamanje, ubuchwepheshe bokubeka i-GPS kanye nesiteshi esiyisisekelo ngokuyisisekelo kuhlangabezana nezidingo zabasebenzisi zezinsizakalo zendawo ezimweni zangaphandle. Kodwa-ke, u-80% wempilo yomuntu uchithelwa ngaphakathi, kanti ezinye izindawo ezinethunzi elikhulu, njengemigudu, amabhuloho aphansi, imigwaqo ephakeme kanye nezitshalo eziminyene, kunzima ukuzifeza ngobuchwepheshe bokubeka i-satellite.

Ukuze kutholakale lezi zimo, ithimba locwaningo lenze uhlelo lohlobo olusha lwemoto yesikhathi sangempela olusekelwe ku-UHF RFID, oluhlongozwe ngokusekelwe endleleni yokubeka umehluko wesigaba sesignali yamaza amaningi, luxazulula inkinga yokungacaci kwesigaba okubangelwa isignali yamaza eyodwa ukuthola, okuhlongozwe kuqala ngokusekelwe
Ku-algorithm yokuthola indawo engenzeka kakhulu ukuze kulinganiswe i-residue theorem yaseShayina, i-algorithm yeLevenberg-Marquardt (LM) isetshenziselwa ukwenza ngcono izixhumanisi zesikhundla esiqondiwe. Imiphumela yokuhlola ikhombisa ukuthi uhlelo oluhlongozwayo lungalandelela indawo yemoto ngephutha elingaphansi kwama-27 cm ngamathuba angama-90%.

Uhlelo lokubeka imoto kuthiwa lunethegi ye-UHF-RFID ebekwe eceleni komgwaqo, i-RFID reader ene-antenna efakwe phezulu kwemoto,
kanye nekhompyutha esebhodini. Uma imoto ihamba emgwaqweni onjalo, umfundi we-RFID angathola isigaba sesiginali esisakazeke ngemuva kusuka kumathegi amaningi ngesikhathi sangempela kanye nolwazi lwendawo olugcinwe kuthegi ngayinye. Njengoba umfundi ekhipha amasignali emvamisa eminingi, umfundi we-RFID angathola izigaba eziningi ezihambisana namaza ahlukene ethegi ngayinye. Lolu lwazi lwesigaba kanye nendawo luzosetshenziswa yikhompyutha esebhodini ukubala ibanga ukusuka ku-antenna kuya kuthegi ngayinye ye-RFID bese kunqunywa izixhumanisi zemoto.