Ngokuthuthuka okunamandla kobuchwepheshe be-Intanethi Yezinto, izinkampani ze-Intanethi Yezinto zezwe lami zisebenzise ubuchwepheshe be-RFID ezinhlobonhlobo
amasimu afana nezitolo ezinkulu ezingenabantu, izitolo ezithengisa izinto ezishibhile, ukuphathwa kwezitolo, izingubo, ukuphathwa kwempahla, kanye nokuthutha.

Kuphrojekthi yesicelo sesitolo esikhulu esingenamuntu, ngokubona indawo ehlobene phakathi komuntu neshelufu kanye nokuhamba kwesitolo.
izimpahla eshalofini, kubalwa ukuthi iyiphi into ethathwe yikhasimende. Ngokuskena uhlelo lokusebenza kufoni ephathekayo ukuze kuqedwe ukuthenga,
amakhasimende akudingeki alinde emgqeni noma alinde ukukhokha. Lolu hlelo lwephrojekthi ye-Internet of Things lusebenzisa ubuchwepheshe obufana nezinzwa zokubona, izinzwa zokucindezela,
kanye nokukhokha kwe-inthanethi yezinto. Isihluthulelo ukufaka amathegi kagesi e-RFID (ithegi yokuhlonza ezenzakalelayo engaxhumani nomkhiqizo ngamunye).

Ibona ngokuzenzakalelayo into eqondiwe futhi ithole idatha efanele ngemodeli yemvamisa yomsakazo. Umsebenzi wokuqaphela awudingi ukungenelela ngesandla
futhi ingasebenza ezindaweni ezahlukahlukene ezinzima. Ubuchwepheshe obufanayo busetshenziswa futhi kuma-magnetic buckles noma amathegi ezincwadi alwa nokwebiwa kwamanye amalabhulali kanye nezitolo ezingaxhunyiwe ku-inthanethi.
Kungashiwo ukuthi lesi yisisombululo esivuthiwe futhi esingabizi kakhulu.

Uhlelo lwethu lufanelekela izitolo ezinkulu ezingenabantu kanye nezitolo ezithengisa izinto ezishibhile. Ukusetshenziswa okuyinhloko yi-Alien Higgs-3/4, i-ImpinJ Monza 4/5 kanye nezinye izinhlobo zamathegi kagesi e-UHF (futhi angenziwa ngokwezifiso ngokwezidingo zamakhasimende).
Izinga lephrothokholi lihambisana ne-EPC Global class1 Gen2 18000-6C. Ngokuphathelene nokupakisha, kusetshenziswa ungqimba lwesisekelo sefilimu oluthambile kakhulu, olulula, oluncane futhi oluncane, futhi olufanele izidingo ezahlukahlukene zokupakisha.
Isikhathi senkonzo yelebula singaphezu kweminyaka eyi-10, futhi lingasulwa futhi libhalwe ngokuphindaphindiwe izikhathi ezingaphezu kuka-100,000. Lishibhile, lisebenza kahle, futhi linokuhambisana okuhle. Lifanele ukufundwa nokusetshenziswa okukhulu.
Ibanga eliphezulu lokufunda lingafinyelela ngaphezu kwamamitha ayi-10 kanye nesivinini sokufunda. Kuwo wonke ama-32bits<2ms, ingaphinde ibone ngokushesha izinto ezihamba ngesivinini esikhulu. Iyakwazi ukungena kalula, ingangena engilazini, okhunini, epulasitikini, endwangu kanye
ezinye izinto ezingezona ezensimbi zokufunda nokuhlonza, futhi zingasebenza ngokujwayelekile ezindaweni ezinzima njengamafutha nothuli. Sekela ukufunda kwamaqembu amaningi endaweni efanayo ngaphandle kokuphazamisana, ukufunda okuqondile,
ukuqondiswa okuhle. Abasebenzisi bangenza ngokwezifiso amazinga okufunda nokubhala kanye nedatha, futhi bangenza ngokwezifiso futhi baxhumeke ezinhlelweni zezinhlelo zokusebenza ezikhethekile. Izinga lokushisa lokusebenza lingu-20°c ~ +50°c, izinga lokushisa lokugcina lingu-40°c ~ +100°c,
futhi ibanga lokufunda ngokuvamile lingu-8M (elihlobene nokusebenza komfundi kanye nendawo yokusebenza).

I-Chengdu Mind izibophezele ekuletheni izixazululo zephrojekthi ezisebenza kahle futhi ezingabizi kakhulu kumakhasimende emkhakheni we-Internet of Things. Uma unezidingo kulokhu, sicela usithinte.