Izixazululo Zokuhlanganiswa Kwe-Smart Melamine Tableware: Izimo Zokusetshenziswa Kobuchwepheshe be-IoT Ekuphathweni Kokudla Kweqembu

Izixazululo Zokuhlanganiswa Kwe-Smart Melamine Tableware: Izimo Zokusetshenziswa Kobuchwepheshe be-IoT Ekuphathweni Kokudla Kweqembu

Emkhakheni wemisebenzi yokudla yamaqembu amakhulu—okuhlanganisa izindawo zokudlela zezinkampani, amahholo okudlela ezikole, amakhishi ezibhedlela, kanye nama-canteen ezimboni—ukusebenza kahle, ukuphepha, kanye nokulawula izindleko sekuyisikhathi eside kuyinselele enkulu. Izindlela zokuphatha zendabuko zivame ukubhekana nezinkinga ezifana nokulandelela okungalungile kwempahla, izingozi zokuphepha kokudla ezifihliwe, ukusatshalaliswa kokudla okungasebenzi kahle, kanye nokulahlwa kokudla ngokweqile. Kodwa-ke, ukuvela kwezitsha zokudla ze-melamine ezihlakaniphile ezihlanganiswe nobuchwepheshe be-Internet of Things (IoT) kuguqula la maphuzu abuhlungu abe amathuba okusungula izinto ezintsha. Lo mbiko uhlola indlela izixazululo ze-melamine ezihlakaniphile ezisebenzisa i-IoT ezisetshenziswa ngayo ekuphathweni kokudla kweqembu, ziletha intuthuko ebonakalayo ekusebenzeni kahle nasekulandeleni ukuphepha.

Ukuthuthuka Kokuphathwa Kokudla Kweqembu: Isidingo Sezixazululo Ezihlakaniphile​

Ukusebenza kokudla kweqembu kuvame ukuphakela amakhulu kuya ezinkulungwaneni zabantu nsuku zonke, okudinga ukuhlanganiswa okunembile kokuthengwa, ukulungiswa, ukusatshalaliswa, kanye nokuhlanza. Imisebenzi yendabuko incike kakhulu emisebenzini yezandla kanye namarekhodi asekelwe ephepheni, okuholela ku:

Isiphithiphithi sempahla: Ubunzima bokulandelela izitsha ze-melamine ezingasetshenziswa kabusha, okuholela ekulahlekelweni njalo kanye nokungasebenzi kahle kokufaka kabusha izinto.

Izindawo ezingabonakali zokuphepha: Ukuqapha okungaguquki amazinga okuhlanza izitsha zokudla kanye nokushisa kokudla ngesikhathi sokusatshalaliswa.

Ukulahlwa kwemithombo: Ukukhiqizwa ngokweqile ngenxa yokubikezela okunganembile kwesidingo, okuhambisana nokwabiwa kokudla okungasebenzi kahle.

Isevisi ehamba kancane: Imigqa emide lapho ukhokha kanye nezinqubo zokuqinisekisa ngesandla ezibambezela okuhlangenwe nakho kokudla.

Njengoba ubuchwepheshe be-IoT bukhula—ngokuthuthukiswa kwezinzwa zamandla aphansi, ukuxhumana okungenantambo, kanye nokuhlaziywa kwamafu—ukuhlanganisa la makhono abe yizitsha zokudla ze-melamine eziqinile sekuyinto engenzeka. Izinzuzo ezingokwemvelo ze-Melamine—ukumelana nokushisa, ukuqina komthelela, kanye nokuhambisana nokuphepha kokudla—zenza kube yindawo ekahle yokufaka ubuchwepheshe obuhlakaniphile, okudala ibhuloho elingenamthungo phakathi kokusebenza ngokomzimba kanye nokuphathwa kwedijithali.

Izimo Ezibalulekile Zokusetshenziswa Kwezitsha Zokudla Ezihlakaniphile Ze-Melamine Ezinikwe Amandla yi-IoT

1. Ukulandelela Amatafula Ngesikhathi Sangempela kanye Nokuphathwa Kwempahla​
Enye yezinhlelo zokusebenza ezisheshayo ukuxazulula inkinga "yokunyamalala kwe-tableware" ehlupha imisebenzi yokudla kweqembu. I-smart melamine tableware ifakwe amathegi e-RFID e-ultra-high-frequency (UHF) noma ama-chip e-Near-Field Communication (NFC), okuvumela ukuhlonza okuzenzakalelayo kanye nokulandelela indawo.

Imininingwane Yokusetshenziswa:

Izifundi ze-RFID ezifakwe ezindaweni zokuphuma ehholo lokudlela, eziteshini zokugeza izitsha, nasezindaweni zokugcina izitsha zibamba idatha yesikhathi sangempela mayelana nokuhamba kwezitsha etafuleni.

Amapulatifomu okuphatha isitokwe asekelwe efwini ahlanganisa idatha ukuze abonise amazinga esitokwe, imvamisa yokujikeleza, kanye namazinga okulahlekelwa.

Izexwayiso ziqala lapho inani lezinto zokudla etafuleni liwela ngaphansi kwemingcele noma lapho izinto zilahlekile (isb., ukuphuma endaweni yokudlela).

Imiphumela Ewusizo: Indawo yokudlela yenkampani ekhonza abasebenzi abangu-2,000 nsuku zonke inciphise ukulahlekelwa yizitsha zokudla etafuleni ngo-68% zingakapheli izinyanga ezintathu zokuqaliswa. Ukuhlolwa kwempahla, okwakuthatha amahora ama-4 ngesonto ngaphambilini, manje sekuqedwa ngokuzenzakalelayo ngesikhathi sangempela, kukhulula abasebenzi emisebenzini enenani eliphakeme.

2. Ukuqapha Ukuphepha Kokudla Ngezinzwa Ezifakiwe​

Ukuphepha kokudla akunakuxoxiswana ngakho ekudleni kweqembu, futhi izitsha zokudla ze-melamine ezihlakaniphile zengeza ungqimba lokuqapha okusebenzayo. Izinzwa ezikhethekile ezihlanganiswe ezitsheni nasemapuletini zilinganisa imingcele ebalulekile kuyo yonke impilo yokudla.

Imininingwane Yokusetshenziswa:

Izinzwa zokushisa zilandelela amazinga okushisa okudla okushisayo (ziqinisekisa ukuthi ahlala ngaphezu kuka-60°C) kanye namazinga okushisa okudla okubandayo (ngaphansi kuka-10°C) ngesikhathi sesevisi.​

Izinzwa ze-pH zithola amakhemikhali okuhlanza asele, okuqinisekisa ukuthi izitsha zokudla zihlangabezana nezindinganiso zokuhlanza ngemva kokuwasha.

Idatha idluliselwa kudeshibhodi ephakathi, kanye nezaziso ezisheshayo zokuphambuka emikhawulweni yokuphepha.

Imiphumela Ewusizo: Isifunda sesikole esisebenzisa lesi sixazululo sinciphise izingozi zezifo ezibangelwa ukudla ngo-42%. Uhlelo lubhale phansi izinga lokuthobela imithetho engu-99.7% nezindinganiso zokuhlanzeka, lisuka ku-82% ngokuhlolwa ngesandla, kanti isikhathi sokulungiselela ukuhlolwa sehle ngo-70%.

3. Ukubikezela Isidingo kanye Nokunciphisa Imfucuza Ngokusebenzisa Ukuhlaziya​

Ukukhiqizwa ngokweqile kanye nesidingo esingalingani kuholela ekuchithweni okukhulu kokudla ekudleni kweqembu. Izitsha zokudla ze-melamine ezihlakaniphile ziqoqa idatha ehlanganisiwe mayelana namaphethini okusetshenziswa ukuze kuthuthukiswe ukuhlela.

Imininingwane Yokusetshenziswa:

Izitsha zokudla ezisebenzisa i-IoT ziqopha ukukhethwa kokudla, osayizi bezingxenye, kanye nezikhathi zokudla eziphakeme ngokuhlanganiswa nezinhlelo ze-POS.

Ama-algorithm okufunda komshini ahlaziya idatha yomlando ukuze abikezele isidingo sansuku zonke sezitsha ezithile, alungise inani lokukhiqiza ngokufanele.

Amapuleti afakwe izinzwa zesisindo alandelela ukudla okungadliwanga, ekhomba izinto ezilahliwe njalo ukuze kulungiselelwe imenyu.

Imiphumela Ewusizo: Indawo yokudlela yasesibhedlela esebenzisa lolu hlelo inciphise imfucuza yokudla ngo-31% futhi yehlisa izindleko zokuthenga ngo-18%. Ngokuvumelanisa ukukhiqizwa nesidingo sangempela, basuse imfucuza yansuku zonke engaphezu kuka-250 kg ngenkathi bethuthukisa amaphuzu okwaneliseka kokudla ngo-22%.

4. Ukukhokha Okuhlelekile kanye Nokuhlangenwe nakho Kokudlela​

Imigqa emide kanye nezinqubo zokukhokha ezihamba kancane kuyabacasula abadli futhi kunciphisa ukusebenza kahle. Izitsha zokudla ze-melamine ezihlakaniphile zivumela ukuthengiselana ngaphandle kokungqubuzana.​

Imininingwane Yokusetshenziswa:

Into ngayinye yetafula ixhunywe kwizinketho ezithile zokudla ohlelweni lwe-IoT.​

Abadli bakhetha ukudla okuhlukaniswe kusengaphambili kuma-smart tray; lapho bekhokha, abafundi be-RFID bakhomba izinto ngokushesha, babale inani eliphelele, futhi bacubungule izinkokhelo ngezikhwama zeselula noma amakhadi omazisi abasebenzi.

Uhlelo luhlangana nezizindalwazi zokuvinjelwa kokudla, luphawula izinto ezibangela ukungezwani komzimba noma izinketho ezingahambisani nabasebenzisi abathile.

Imiphumela Ewusizo: Ihholo lokudlela laseyunivesithi elikhonza abafundi abangu-5,000 nsuku zonke linciphise isikhathi sokukhokha ngesidlo ngasinye kusukela kumasekhondi angu-90 kuya kumasekhondi angu-15, lanciphisa ubude bomugqa ngo-80%. Lokhu kuthuthukise ukwaneliseka kwabadlayo futhi kwandise umthamo wamahora aphezulu ngo-40%.