Canpan Technology, o se lala o le New Hope Fresh Life Cold Chain Group, ua filifilia le Amazon Web Services (AWS) e avea ma ana mea e sili ona lelei e tuʻuina atu ai le ao e atiaʻe ai fofo faʻatauga atamai. O le fa'aaogaina o auaunaga a le AWS e pei o au'ili'iliga o fa'amaumauga, teuina, ma le a'oa'oina o masini, o lo'o fa'amoemoe Canpan e tu'uina atu fa'amaumauga lelei ma gafatia fa'amalieina fa'ataunu'u mo tagata fa'atau i mea'ai, meainu, fa'ato'aga, ma pisinisi fa'atau. O lenei faiga faapaaga e faʻaleleia ai le mataʻituina o filifili malulu, agility, ma le lelei, faʻatautaia le atamai ma le saʻo pulega i le vaega o le tufatufaina o meaʻai.
Fa'afetauia le Si'itia o Mana'oga mo Mea'ai Fou ma Saogalemu
New Hope Fresh Life Cold Chain e sili atu i le 4,900 tagata fa'atau i Saina, pulea le 290,000+ ta'avale filifili malulu ma le 11 miliona sikuea mita o fale teu oloa. E ala i le faʻaaogaina o le IoT, AI, ma masini aʻoaʻoga tekinolosi, e tuʻuina atu e le kamupani ni fofo faʻaiʻuga faʻaiʻuga. A'o fa'aauau pea ona fa'atupula'ia le mana'omia e tagata fa'atau mo mea'ai fou, saogalemu, ma maualuga, o lo'o feagai le alamanuia o filifili malulu ma le fa'ateleina o le mamafa e fa'aleleia atili ai le lelei ma fa'amautinoa le saogalemu o mea'ai.
Canpan Technology fa'aogaina le AWS e fausia ai se vaituloto fa'amaumauga ma fa'amaumauga fa'amaumauga mo taimi tonu, ma fa'atupuina ai se laina sapalai manino ma lelei. O lenei faiga e fa'amalieina ai le fa'atauga, tu'uina atu, ma le tufatufaina, fa'aleleia atili le fa'atinoina o galuega.
Fa'atonu Fa'atonu Fa'amatalaga Fa'atonu Fa'atonu
Canpan's data lake platform fa'aogaina meafaigaluega AWS pei oleAmazon Elastic MapReduce (Amazon EMR), Au'aunaga Faigofie a Amazon (Amazon S3), Amazon Aurora, maAmazon SageMaker. O nei 'au'aunaga e aoina ma au'ili'ili le tele o fa'amaumauga na fa'atupuina i le taimi o fa'amaumauga o filifili malulu, e mafai ai ona fa'amaonia sa'o, su'esu'ega su'esu'e, ma fa'aitiitia le tau fa'aleagaina e ala i algorithms a'oa'oga masini.
Ona o le maualuga o le saʻo ma le mataʻituina o taimi moni e manaʻomia i le faʻaogaina o filifili malulu, o loʻo faʻaogaina e Canpan's real-time data platform.Au'aunaga Amazon Elastic Kubernetes (Amazon EKS), Amazon Pulea le tafega mo Apache Kafka (Amazon MSK), maAWS Kelu. O lenei faʻavae e tuʻufaʻatasia ai Faiga Faʻatonu o Faleoloa (WMS), Faiga Faʻafoega o Felauaiga (TMS), ma Faiga Faʻatonu Faʻatonu (OMS) e faʻafaigofie ai galuega ma faʻaleleia fua o tupe maua.
Ole fa'amaumauga ole taimi moni e mafai ai e masini IoT ona mata'ituina ma tu'uina atu fa'amatalaga ile vevela, gaioiga o le faitoto'a, ma fe'avea'i auala. O lenei mea e faʻamautinoa ai le agile logistics, fuafuaga atamai auala, ma le mataʻituina o le vevela i le taimi moni, puipuia le lelei o oloa pala i le taimi o felauaiga.
Fa'aauauina le aveta'avale ma le lelei o tau
Cold chain logistics e malosi malosi, aemaise i le tausia o siosiomaga maualalo-vevela. E ala i le faʻaogaina o le AWS cloud ma le masini aʻoaʻoga auaunaga, Canpan optimized auala felauaiga, dynamically fetuutuunai vevela o faleteuoloa, ma faaitiitia carbon emissions. O nei fa'afouga e lagolagoina ai le suiga a le alamanuia filifili malulu i galuega gafataulimaina ma le maualalo-carbon.
E le gata i lea, o le AWS o loʻo tuʻuina atu faʻamatalaga faʻapisinisi ma faʻafeiloaʻi masani "Aʻoaʻoga Faʻafouina" e fesoasoani ai ia Canpan e tumau i luma o maketi. O lenei galulue faʻatasi e faʻaleleia ai se aganuʻu o mea fou ma avanoa Canpan mo le tuputupu aʻe umi.
Se Vaaiga mo le Lumanai
Na taʻua e Zhang Xiangyang, Pule Sili o Canpan Technology:
"O le tele o le poto masani a Amazon Web Services i le vaega faʻatau oloa, faʻatasi ai ma lona taʻutaʻua ao ma tekinolosi AI, e mafai ai ona tatou fausia ni fofo faʻatau oloa ma faʻavavevave le suiga numera o le tufatufaina atu o meaʻai. Matou te tulimatai atu i le faʻalolotoina o la matou galulue faʻatasi ma le AWS, suʻesuʻeina o talosaga fou o fesoʻotaʻiga fesoʻotaʻiga malulu, ma tuʻuina atu auaunaga faʻatauvaʻa maualuga, lelei, ma saogalemu i a matou tagata faʻatau.
Taimi meli: Nov-18-2024