Nekuenderera mberi kwekukura kwemabhizinesi, iyo yechinyakare bhuku rekushandisa mukati-kunze uye kunze-kwe-warehouse modhi uye nzira dzekuunganidza data dzakatadza kuzadzisa zvinodikanwa zvekutonga zvematura.Iyo warehousing inventory system yakavakirwa paRFID radio frequency identification tekinoroji inobatsira mabhizinesi kuita nehungwaru uye nedhijitari.
Kuipa kwechinyakare manejimendi ekuchengetera zvinhu: iyo yakaderera mwero wekuzivisa, kuenderera kunowedzera kwehuwandu hwezvinhu, kuwedzera kwakanyanya kwekuwanda kwemukati nekubuda kweimba yekuchengetera, kurasikirwa kukuru kwemanejimendi, kusashanda kwemabasa ekuchengetera zvinhu kunokonzerwa nekunyanyisa kushanda kwemaoko. , uye kunotora nguva uye kushanda nesimba kwekugadzira zvinhu.Kutungamira kunopa matambudziko makuru.
Iyo yakakosha kushanda musimboti weRFID tekinoroji: isiri-inobata otomatiki yekuzivikanwa tekinoroji, iyo chaiyo musimboti ndeyekuti mushure meiyo label ine ruzivo rwechigadzirwa yapinda mune magineti, inogamuchira redhiyo frequency sigi inotumirwa nemuverengi, uye simba rinowanikwa neiyo induced ikozvino. inotumirwa kunze uye inochengetwa muchip.ruzivo rwechigadzirwa, kana kushingaira kutumira chiratidzo cheimwe frequency;mushure mekunge muverengi averenga uye nekudzikisira ruzivo, rwunotumirwa kune manejimendi ruzivo system kune yakabatana data kugadzirisa.
Zvakanakira zveRFID in-out warehouse inventory:
1) Inogona kuzivikanwa kure kure, pachinzvimbo chekungoratidza kirasi yezvinhu zviri padhuze senge barcode;
2) Hapana chikonzero chekugadzirisa, data inogona kuverengwa kuburikidza nekuputira kwekunze, kusatya kusvibiswa kwemafuta, kukuvara kwepamusoro, nzvimbo yakasviba uye dzimwe nzvimbo dzakaoma;
3) Mazana kana mazana ezvinhu zvinogona kuverengerwa nekuongororwa otomatiki panguva imwe chete kuti uwane kukurumidza kugadzirwa kwekuita;
4) Kurumidza enzanisa data uye uiendese kune yekumashure system;
5) Data encryption tekinoroji, gadza nzira yekuchengetedza data, uye perekedza zvizere kuvanzika nekuchengetedza data.
RFID yakangwara warehouse inventory process
1) Zvinhu zvisati zvaiswa mudura: batanidza mavara emagetsi kuchinhu chimwe nechimwe, zadzisa maitiro ekunyora, uye chengetedza nhamba yeID yakasarudzika inoratidza chinhu chiri mulabel;
2) Kana zvinhu zvaiswa muimba yekuchengetera: zvironge zvinoenderana nechikamu uye modhi.Mushandi anoongorora uye anoona zvinhu zviri mumabhechi zvinoenderana nemuenzaniso uneRFID inventory scanner terminalmumaoko avo.Mushure mekutarisa, vanoiswa muimba yekuchengetera kuti vapedzise maitiro ekuchengetedza, uye iyo data yakaongororwa inoiswa munguva chaiyo kune server;
3) Kana zvinhu zvacho zvabuda mudura: mushandisi anoburitsa mhando yakatarwa uye huwandu hwezvinhu kubva munzvimbo yekuchengetera zvinoenderana netsamba yekuendesa kana chinyorwa chitsva chekutumira, anoongorora uye anoona zvinhu zviri mumabhechi, anopedzisa maitiro ekutumira mushure. kutarisa kuti hapana kukanganisa, uye inotarisa data.Real-time upload kune server;
4) Kana chinhu chacho chadzoserwa: mushandisi anoongorora uye anoona chinhu chakadzoserwa, anopedzisa maitiro ekudzoka, uye anorodha data yakaongororwa kune server munguva chaiyo;
5) Kubvunza uye kuteedzera ruzivo rwekutakura: pinda kune system software terminal, uye nekukurumidza tsvaga iyo chaiyo ruzivo rwechinhu zvinoenderana neimwe mamiriro echinhu.Process tracking;
6) Real-time statistical mishumo uye pfupiso yemhando dzakasiyana dzeruzivo: Mushure mekunge mushandisi aita yekupinda nekubuda mashandiro ezvinhu kuburikidza neRFID handheld reader, iyo data ichaiswa kune dhatabhesi yehurongwa munguva, iyo inogona kuona chidimbu che data yeruzivo rwechinhu, uye inopa dzakasiyana siyana mishumo yedata kutarisa zvinhu zvinopinda uye zvinobuda.Ita ongororo yakawanda-yekona yemamiriro ezvinyorwa, mamiriro ekunze, mamiriro ekudzoka, nhamba dzekudiwa, nezvimwe, uye ipa chaiyo data hwaro hwekuita sarudzo dzebhizinesi.
RFID inobatwa neruokozvishandiso uye ma tag emagetsi anoshandura echinyakare manyorero ekushandisa maitiro, kuderedza mutengo wevashandi, kuderedza mukana wekukanganisa uye kugadzirisa manejimendi, kuisa pakati data data, uye kugadzirisa ruzivo rwekuchengetedza nenguva, nekudaro vachiziva kugovanisa uye kwakazara kwevanhu uye zvinhu. zviwanikwa.
Nguva yekutumira: Jun-06-2022