Setsi sa 'Mino oa Mosebetsi o Bohlale: E kopanya hardware le software hore e be tikolohong e momahaneng, e nolofalletsang ho phalla ha thepa le ho felisa litšitiso tsa ts'ebetso ho pholletsa le ketane eohle ea boleng.
Moralo oa Adaptive & Scalable: Modular components le AI{0}}navigation driven bakeng sa AMRs li lumella tlhophiso e feto-fetohang ho amohela ho fetoha ha mela ea sehlahisoa, litlhophiso tsa lisebelisoa, kapa boholo ba tlhahiso{1}}ho tšehetsa kholo ea khoebo ntle le ho lokisa litšenyehelo.
Ho nepahala le ho tsitsisa: E matlafatsa litsamaiso tsa pono, lisensara, le ho latedisa ka boiketsetso ho fihlella-litefello tsa diphoso tse haufi, ho netefatsa tshebetso e tshepehang le ho fokotsa tshenyo ya sehlahiswa kapa ho se tshwane ha thepa.
Boitsebiso{{0}Ponahalo e Tsamaiswang: Tekolo-ea 'nete le litlhahlobo li fana ka pheletso-ho{2}}ho felisa ponaletso ea tšebetso, ho matlafatsa liqeto tse potlakileng-ho etsa le ho ntlafatsa ts'ebetso e tsoelang pele ho tsamaisa bokhabane ba ts'ebetso.
Molao-motheo oa ho Sebetsa
Intelligent Perception & Tracking
Lisensara tse hokahaneng, litsamaiso tsa pono, le RFID/barcode scanner li nka{0}}boitsebiso ba nako ea 'nete mabapi le sebaka, boholo, le boemo. Lintlha tsena li fetisetsoa tsamaisong e bohareng ea taolo, e nolofalletsang ho tsebahatsa lintho hantle le ho lateloa ha lintho nakong eohle ea tšebetso{2}}ho tloha ho tse ling ho isa ho tse rometsoeng.
AI{{0}Mokhatlo oa Tšebetso ea Ts'ebetso oa Driven
The core software platforms sebelisa algorithms ho ntlafatsa phallo ea thepa, ho abela mesebetsi ka bo eona ho latela{0}}tlhokeho ea nako, maemo a inventory, le litšitiso tsa ts'ebetso. Sena se tiisa khokahanyo e hokahaneng, e sebetsang hantle ho likarolo tsohle tsa sistimi.
Modular Hardware Phethahatso
Likarolo tse khethehileng tsa hardware li sebetsa ka tandem ho phetha mesebetsi e abetsoeng: AGVs/AMRs sebelisa navigation e matla ho qoba litšitiso le ho fihla moo ba eang; matsoho a roboto a phahamisa tataiso ea pono bakeng sa ho khetha / ho paka ka nepo; ba tsamaisang thepa ba latela litsela tse tsitsitseng bakeng sa lipalangoang tse tsoelang pele; 'me lisistimi tsa AS/RS li sebelisa li-cranes tse iketselitseng ho fihlella-bobolokelo bo bongata{1}}tsohle tse laoloang ke software e bohareng.
Koetsoe-Loop Feedback & Adjustment
Thepa e lula e bokella lintlha tsa tšebetso le ho e sebelisa ho etsa-liphetoho tsa nako. Mohlala, ha AGV e thibane, AI e{2}e tla e tsamaisa hang hang; haeba sensara se lemoha ntho e sa dumalaneng hantle, letsoho la robotiki le lokisa tsela eo le e tšoarang ka eona-e le bonnete ba hore e sebetsa hantle le ho fokotsa litšitiso.
Hobaneng u khethaMaruo?
Tsebo e tebileng ea Domain: Ka lilemo tse mashome ho tsepamisitsoe maikutlo ho li-automation tsa ho sebetsana le thepa, Riches e kopanya bokhabane ba boenjiniere le temohisiso e tebileng ka lintlha tse bohloko tsa indasteri, ho etsa litharollo tse lumellanang le litlhoko tse ikhethang tsa ts'ebetso.
Bokhoni bo Pakiloeng ba Theknoloji: E kopanya-karolo ea maemo a holimo le lisebelisoa tsa komporo, e netefatsa ts'ebetso e matla, e lumellana le litsamaiso tse teng, le ho lumellana le maemo a lefats'e (ISO 9001, CE, OSHA).
Phano ea Tharollo e Ikemetseng: E sebelisana haufi-ufi le bareki ho etsa moralo oa ho qetela-ho{1}}ho felisa kapa ho felisa litharollo{2}}ho tloha ho tse nyane-ho ea ho litsamaiso tse kholo tsa li-turnkey{4}}tse ikamahanyang le tšebetso e itseng, litekanyetso tsa lichelete, le merero ea kholo.
Tšehetso e Pharalletseng ea Ecosystem: E fana ka-ts'ebeletso e felletseng, ho kenyeletsoa tlhahlobo ea litlhoko, ts'ebetso, koetliso ea basebetsi, ts'ehetso ea botekgeniki ea 24/7, le lisebelisoa tse potlakileng tsa lisebelisoa, ho eketsa nako ea ho sebetsa le{3}}nako e telele ea ROI.
LBH
Na tharollo ea othomathike ea Riches e ka hokahana le litsamaiso tsa rona tse teng tsa WMS/ERP/MES?
Ee{{0}tharollo ea rona e na le meralo ea API e bulehileng, e nolofalletsang khokahanyo e se nang moeli le litsamaiso tse ngata tsa likhoebo tse kholo ho netefatsa khokahanyo ea data le ho felisa{1}}ho{2}}ho felisa taolo ea tšebetso.
Ts'ebetsong e nka nako e kae, 'me e tla sitisa ts'ebetso ea rona ea hajoale?
Nako ea ho kenya ts'ebetsong ho tloha likhoeling tse 3-12 (ho ipapisitsoe le sekala sa sistimi), ka ho tsamaisoa ka mekhahlelo le kemiso e feto-fetohang (ho kenyeletsoa ka mor'a-mosebetsi oa lihora) ho fokotsa tšitiso ea ts'ebetso.
Ke tlhokomelo efe e hlokahalang, 'me u fokotsa nako ea ho theoha joang?
Tlhokomelo ea kamehla e kenyelletsa liapdeite tsa software le calibration ea sensor. Moralo oa rona oa modular o lumella hore ho be bonolo ho fetola likarolo, 'me tšehetso ea botekgeniki ea 24/7 e netefatsa hore ho rarolla mathata ka potlako{3}nako e sa reroang e bolokoa ka tlase ho 0.5% selemo le selemo.
Na tharollo ee e loketse likhoebo tse nyane ho isa ho tse bohareng-kapa likhoebo tse kholo feela?
E ka senyeha bakeng sa likhoebo tsa mefuta eohle. Bareki ba banyenyane/ba mahareng{1}}ba ka qala ka lisebelisoa tsa mantlha (mohlala, AGVs + basic conveyors) le ho hola ha tšebetso e ntse e hola, ho qoba ho tsetela{5}ka pele.
Ke nako efe e tloaelehileng ea ROI bakeng sa Riches' Automation in Material Handling?
Boholo ba bareki ba fihlella ROI nakong ea likhoeli tse 18-36, ba susumetsoa ke ho boloka litšenyehelo tsa basebetsi, ts'ebetso e ntlafetseng, liphoso tse fokotsehileng, le ho ntlafatsa sebaka. Re fana ka tlhahlobo e ikhethileng ea ROI e ipapisitseng le data ea hau ea ts'ebetso.
Lichelete li netefatsa ts'ireletso ea basebetsi joang ha li kenya ts'ebetsong litsamaiso tse ikemetseng?
Tharollo ea rona e kenyelletsa-ka har'a likarolo tsa polokeho (ho qoba ho thulana bakeng sa li-AGV, liprothokholo tsa ho emisa maemo a tšohanyetso, lisensara tsa polokeho) 'me e lumellana le litekanyetso tsa lefats'e tsa polokeho ea indasteri. Re boetse re fana ka koetliso e felletseng ea basebetsi mabapi le tšebelisano e sireletsehileng ea sistimi.
Hot Tags: othomathiki ka ho sebetsana le thepa, China automation ho baetsi ba thepa ea ho sebetsana le thepa, barekisi
