I-Intanethi yayo yonke into-Ukuphonononga uTshintsho kunye namathuba kwi-Intanethi yeZinto zeXesha leCrane Scales

Ngeli xesha, isikali se-crane asisekho nje isixhobo esilula sokulinganisa, kodwa isixhobo esihlakaniphile esinokubonelela ngolwazi olucebileyo kunye nohlalutyo lwedatha.Itekhnoloji ye-Blue Arrow crane isikali se-IoT kukuphucula kunye nokuguqula isikali sekhrane yemveli ngetekhnoloji ye-Intanethi, ukuze ibe namandla okuhambisa idatha ukude kunye nolawulo olukrelekrele.

Ukujongwa kwedatha yexesha langempela: Ngoxhulumaniso lwenethiwekhi, isikali se-crane sinokudlulisela idatha yobunzima ngexesha langempela, elibaluleke kakhulu kwiindawo zoshishino ezifuna ukubeka iliso okuqhubekayo kunye nolawulo oluchanekileyo.

Ulawulo olukude: abaphathi banokubeka iliso kwimo kunye nedatha ye-crane scales ukusuka naphi na, ngokusebenzisa izixhobo eziphathwayo okanye iikhomputha, ngaphandle kokuba babekho ngokwasemzimbeni.

Uhlalutyo lwedatha kunye nokuphucula: idatha eyenziwa yi-crane scales ingasetyenziselwa uhlalutyo olunzulu, ukunceda iinkampani ukuba ziphucule iinkqubo zokuvelisa, ukuphucula ukusebenza kakuhle kunye nokunciphisa iindleko.

ULondolozo loThintelo: Ngokubeka iliso kwizikali ze-crane ngexesha langempela, kunokwenzeka ukuba ulindele iingxaki ezinokwenzeka kwaye uqhube ukulungiswa kwangaphambili, ukunciphisa ixesha lokunciphisa kunye nokwandisa ubomi bezixhobo.

I-Augmented Reality (AR) Udibaniso: idatha esuka kwizikali ze-crane inokudityaniswa kunye ne-augmented reality technology ukubonelela abasebenzisi ngolwazi olutyebileyo kunye nesikhokelo sokusebenza.

UBonelelo lweNgxowa-mali yokuNikezela: Kumalungiselelo kunye nokugcinwa kwezinto, i-IoT yesikali se-crane inokuphucula ukucaca kwekhonkco lokubonelela kwaye ilandele ngokuchanekileyo ubunzima kunye nendawo yempahla.

Inkxaso yesigqibo esihlakaniphile: Ngokusekelwe kwiziphumo zohlalutyo lwedatha enkulu, abaphathi banokwenza izigqibo ezinolwazi ngakumbi, ngaloo ndlela baphucula ukukhuphisana kwamashishini.

Kukho uluhlu olubanzi lweemeko zokusetyenziswa kwe-IoT yezikali ze-crane, umzekelo, ukulinganiswa kwexesha langempela lempahla, ulawulo lwe-inventory, kunye nokulungiswa kwenkqubo kwi-logistics, i-warehousing, imveliso kunye namanye amashishini.

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