I-DeepSeek-R1 Ihlanganisa i-AI kanye ne-Edge Computing ye-Industrial IoT

Isingeniso

Amamodeli amancane ancibilikisiwe e-DeepSeek-R1 acutshungulwe kahle kusetshenziswa idatha ye-chain-of-caught eyenziwe yi-DeepSeek-R1, emakwe ngokuthi...amathegi, azuza njengefa amandla okucabanga ka-R1. Lawa madathasethi ashunwe kahle afaka ngokusobala izinqubo zokucabanga ezifana nokubola kwenkinga nokudonswa kwemali okumaphakathi. Ukufunda okuqiniswayo kuqondanise amaphethini okuziphatha emodeli encibilikisiwe nezinyathelo zokucabanga ezenziwe ngo-R1. Le ndlela yokugaya ivumela amamodeli amancane ukuthi alondoloze ukusebenza kahle kwekhompyutha kuyilapho ethola amakhono okucabanga ayinkimbinkimbi eduze nalawo amamodeli amakhulu, anenani elibalulekile lohlelo lokusebenza ezimweni ezicindezelwe yizinsiza. Isibonelo, inguqulo ye-14B izuza u-92% wekhodi yokuqedwa kwemodeli yoqobo ye-DeepSeek-R1. Le ndatshana yethula imodeli ye-DeepSeek-R1 encibilikisiwe kanye nezicelo zayo eziyinhloko kukhompyutha yonqenqema lwezimboni, efinyezwe ngezindlela ezine ezilandelayo, kanye namacala athile okusebenzisa:

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Ukugcinwa Okubikezelwe Kwezisetshenziswa

Ukuqaliswa Kwezobuchwepheshe

I-Sensor Fusion:

Hlanganisa ukudlidliza, izinga lokushisa, nedatha yamanje evela kuma-PLC ngephrothokholi ye-Modbus (isilinganiso sesampula 1 kHz).

Isizinda Sesici:

Run Edge Impulse ku-Jetson Orin NX ukuze ukhiphe izici zochungechunge lwesikhathi ezinobukhulu obungu-128.

Incazelo yemodeli:

Sebenzisa imodeli ye-DeepSeek-R1-Distill-14B, ufake amavekhtha wesici ukuze ukhiqize amanani angenzeka iphutha.

Ukulungiswa Okunamandla:

Qalisa ama-oda omsebenzi wokulungisa lapho uqiniseka > 85%, futhi uqale inqubo yokuqinisekisa yesibili lapho u-<60%.

Icala Elifanele

I-Schneider Electric isebenzise lesi sixazululo emishinini yezimayini, yehlisa amanani amanga ngama-63% kanye nezindleko zokuyilungisa ngama-41%.

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Running DeepSeek R1 Distilled Model kumakhompyutha we-InHand AI Edge

Ukuhlola Okubonakalayo Okuthuthukisiwe

I-Output Architecture

Ipayipi lokusa elijwayelekile:

ikhamera = GigE_Vision_Camera(500fps) # Ikhamera yezimboni ye-Gigabit
ifreyimu = ikhamera.thwebula() # Thatha isithombe
preprocessed = OpenCV.denoise(frame) # Denoising preprocessing
defect_type = DeepSeek_R1_7B.infer(preprocessed) # Ukuhlukaniswa kwamaphutha
if defect_type != 'normal':
PLC.trigger_reject() # Qalisa indlela yokuhlunga

Amamethrikhi okusebenza

Ukucubungula Ukubambezeleka:

82 ms (Jetson AGX Orin)

Ukunemba:

Ukutholwa kokukhubazeka okubunjwe ngomjovo kufinyelela ku-98.7%.

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Imithelela ye-DeepSeek R1: Abawinile nabahluliwe ochungechungeni lwenani le-AI elikhiqizayo

Ukuthuthukisa Ukugeleza Kwenqubo

Key Technologies

Ukusebenzisana Kolimi Lwemvelo:

Ama-opharetha achaza okudidayo kwemishini ngezwi (isb., "I-Extruder pressure fluctuation ±0.3 MPa").

Izizathu ze-Multimodal:

Imodeli ikhiqiza iziphakamiso zokuthuthukisa ngokusekelwe kudatha yomlando wemishini (isb, ukulungisa isivinini sesikulufu ngo-2.5%).

Ukuqinisekiswa Kwe-Digital Twin:

Ukuqinisekiswa kokulinganisa kwepharamitha kuplathifomu ye-EdgeX Foundry.

Ukuqalisa Umphumela

Imboni yamakhemikhali ye-BASF yamukela lolu hlelo, yazuza ukuncipha ngo-17% kokusetshenziswa kwamandla kanye nokwenyuka kwezinga lekhwalithi yomkhiqizo ngo-9%.

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I-Edge AI kanye Nekusasa Lebhizinisi: I-OpenAI o1 vs. DeepSeek R1 ye-Healthcare, Automotive, ne-IIoT

Ukubuyiswa Okusheshayo Kwesisekelo Solwazi

I-Architecture Design

Isizindalwazi seVector Yasendaweni:

Sebenzisa i-ChromaDB ukuze ugcine amamanyuwali wemishini futhi ucubungule izicaciso (ubukhulu bokushumeka 768).

Ukubuyiswa kweHybrid:

Hlanganisa i-algorithm ye-BM25 + ukufana kwe-cosine yombuzo.

Isizukulwane Somphumela:

Imodeli ye-R1-7B ifingqa futhi icolise imiphumela yokubuyisa.

Ikesi Elijwayelekile

Onjiniyela bakwa-Siemens baxazulule ukwehluleka kwe-inverter ngokusebenzisa imibuzo yolimi lwemvelo, behlisa isilinganiso sesikhathi sokucubungula ngo-58%.

Izinselele Zokusabalalisa Nezixazululo

Ukulinganiselwa Kwenkumbulo:

Kusetshenziswe ubuchwepheshe be-KV Cache quantization, behlisa ukusetshenziswa kwememori yemodeli ye-14B ukusuka ku-32GB kuya ku-9GB.

Ukuqinisekisa Ukusebenza Kwesikhathi Sangempela:

Kuqiniswe ukubambezeleka okukodwa okuzinzile kuye ku-±15 ms ngokusebenzisa ukuthuthukiswa kweGrafu ye-CUDA.

I-Model Drift:

Izibuyekezo ezikhuphukayo zamasonto onke (zidlulisa kuphela u-2% wamapharamitha).

Indawo Ethuthuke kakhulu:

Idizayinelwe amazinga okushisa abanzi angu- -40°C kuya ku-85°C ngezinga lokuvikela le-IP67.

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Isiphetho

Izindleko zamanje zokuthumela manje zehle zaba ku-$599/node (i-Jetson Orin NX), kanye nezicelo ezingase zibe khona emikhakheni efana nokukhiqiza kwe-3C, ukuhlanganiswa kwezimoto, kanye nekhemistri yamandla. Ukwenziwa ngcono okuqhubekayo kobuchwepheshe bezakhiwo ze-MoE nokulinganisa inani kulindeleke ukuthi kunikeze amandla imodeli ye-70B ukuthi isebenze kumadivayisi asemaphethelweni ekupheleni kuka-2025.

Thola Isixazululo sekhebula le-ELV

Control Cables

Okwe-BMS, BUS, Industrial, Instrumentation Cable.

Uhlelo Lwekhebula Oluhlelekile

Inethiwekhi&Idatha, Ikhebula Le-Fiber-Optic, Intambo Yesiphesheli, Amamojula, I-Faceplate

2024 Ukubuyekezwa Kwemibukiso Nemicimbi

Apr.16th-18th, 2024 Middle-East-Energy e-Dubai

Ephreli 16-18, 2024 Securika e-Moscow

May.9th, 2024 UMCIMBI EMISHA NOBUCHWEPHESHE WETHULA UMCIMBI e-Shanghai

Oct.22nd-25th, 2024 SECURITY CHINA e-Beijing

Nov.19-20, 2024 CONNECTED WORLD KSA


Isikhathi sokuthumela: Feb-07-2025