   4.0.    
  


            ,       4.0. :     ,         ,  ,      .   :  ( ).





   4.0

   



  



  ,2025



ISBN978-5-0068-6435-1

     Ridero




  


 - 

    ..,

   л,

  ,

    







  /  



  Ƞ   4.0:    

      -.

  ():

          .     :

 :   ,      ,      (OEE) TCO.

 :     (ML, Transfer Learning, Federated Learning),   (Digital Twins) Edge-    (RUL)   .

 :   ,  (Cobots)    (AMR)   (ISO, HRC)   (MARL).

  (MLOps):   - Legacy-,    (ROI),   (Change Management)  .

- :    (),  -,        ()  4.0.

  Ƞ  Ҡ 



     ( 4.0)       .           ,       ().




 


            ,    ,  -          (Smart Factory).




 


      ,      ,  :   , -  ,  /, ,  ,   ,     .




  


    ,     4.0:

     .

     .

         (RUL).

        (OEE).




  ( )


      :

  -   ;

       (ROI);

     ;

      -;

      .




   ()


     -,    .

 ,      .

   (-)    .



    ,   ,      ,   -     4.0.




 1.   Ƞ4.0


1.1.      

   ,     ;

    (, ACATECH, RAMI 4.0)    ;

  :   (Agility)  (Customization) .

1.2.   :   

  :  ,     ,  ;

  :    (ROI)    -;

   ():       .

1.3.   :      

         (bottlenecks);

          ;

 :   ,    (IoT) Edge-.

1.4.    :    

   :     ;

   :     (OEE),     (TCO)    (Downtime);

 :         .




 2.    


2.1.   :        (RUL)

   (PdM):   -  ;

  : ,      (Time-Series Data)  ;

  :          .

2.2.      

  (Deep Learning) :           ;

 :           ;

    (Reinforcement Learning)     .

2.3.     

 -  (CPS):       ;

 :         ;

   :      .

2.4.     

    (Supply Chain Optimization):       ;

   :     (AMR)   ;

 :       .




 3.  Ƞ  


3.1.     ()

  -  (HRC):   ISO/TS 15066   ;

  :         ;

  :   ,      .

3.2.    (MARL)

   :      ,   ;

    (MARL)   ,  ;

 :         .

3.3.     (AMR)

 : SLAM (Simultaneous Localization and Mapping),      ;

 :      AMR  ;

 :  AMR  ,     .

3.4.     

  :   (ISO)   ( )   ;

 :         ;

    (ICS):      .




 4.   Ƞ


4.1.  MLOps:   

    (AI Factory):   ,    (CI/CD)   ;

  MLOps:       -;

 :      (Model Drift detection).

4.2.     (ROI)

 :      (KPI)      ;

 :       ;

 :  ,   ,  .

4.3.    (Change Management)

  :       ;

  :        ;

   :          .

4.4.    Legacy-

  :    -   (SCADA, MES, ERP);

 :     (Middleware)    ;

:     -    .




 5.   Ƞ 


5.1.      

Transfer Learning ( ):            ;

Federated Learning ( ):         ;

 :        .

5.2.  -   (CPS)

 CPS:  ,     ;

 :     (OPC UA, MQTT)  CPS;

  :  Edge-     .

5.3.  Digital Twins ( )

   :          ;

  :  ,         ;

   :   Digital Twins    .

5.4.        

   (Time Series Analysis):  ,      ;

  :         - ;

   (Anomaly Detection):        .




 Ƞ 


  ():      4.0,  .

-  :           -.

  :    -      .

  ( ):           .

  :          .



 :

   

: 6  (350  , 6   )

:  ( -)

 :   , -,  ,   , ,  .




 


          -,        .




 













       ,      ()   4.0,      .      ,   ,     ,        .     ,      ,      ,       (CPS).

     ,        (Big Data),      (IIoT)    (IT)   (OT),      ,    .            ,   ,   .           -        ,    .

, ,  ,         .  ,       -.         (      ),      (,  ,  ,  ) ,   .             -    .

   ,  ,            -     (, ).         ,      ,         -    .

  ,  ,       ,      ,           .         ,      ,      ,       .      ,  (Explainable AI, XAI)     ,              ,      4.0.

       ,               ,       .  ,    ,    (ѻ)     ,          .   ,       ,        , ,  ,          .

 ,           .           ,        ,  .       ,         ,              (OEE, MTBF).  ,     ,     .

,    ,     -  ,   ,  - .         ,   ,     ,      .   Data Lake ( ),         sine qua non     -,          ,  ,   .  ,  ,    ( 1)    ( 23).

          .     ,  -      ,     .      ,     ,  AMR      .       ࠖ      (),  ,    ,   .  ,           ,   ,    .



     ,    ,     .      ,    ,     (MVP)    (ROI, TCO).       ,        (OEE, RUL,   )      (AMR, ).      ,       (ISO/TS $15066$)  ,     (SLAM-,  ).      ,    ( ),   (Change Management)    (MTBF, Total Value ofOwnership). ,     - ,     (MLOps,  ),    (Digital Twins)   ,     ( ,  ).

 ,         堖 砖 ,   Edge-        (Time Synchronization, OPC UA).        ,   (  ,  ),     (XAI) -.     (MARL)     + Ȼ    ,       .  ,             .        ,    .




 


 ;  ; ;  ;  ;  ; Edge-;  4.0;  ; AMR; IIoT; OEE; RUL; Data Lake; MLOps; XAI; MVP; ROI; TCO;  ;  ;  ; Transfer Learning; Federated Learning; Time-Sensitive Networking;  ;  ;  ;  ;  ;  ;  .

 Ҡ()

      ,   ,      ,   .    ,  ,  ,      .  -           .

    ,      ,      .              .          .

     : ,      , ,     .          .       .

:             .

 

          ,     .    ,   ,      .     ,     .

       (),    ()       .       ,       .       .

     ,  IIoT,  ,    .            .       4.0.

:        20%    .



      ,  , ,   .    ,    ,       .    , ,   .

    ,      ,     .       ,       .     ,   .

         , ,  ,    .         ,     .       .

:           .

 

 ꠖ     ,   ,       ,  .      ,  ,    .       ,    .

        (IIoT),  ,    . Ѡ         ,   , ,   .        .

            ,    .   ,    (Time-to-Market)       .        .

:    ,         .

 Š()

 堖    ,    ,        .    ,    ,    .        .

      ( ),    (  )  .           .          .

         ,  ,        .      ,     .        .

:          98%.

 

 堖    ,            .      ,    ,    ,    .          .

        ,    , , ,    .      ,      ,  .       .

        ,      ,        (OEE).   ,       .        .

:        ,  50000.

EDGE-

Edge-     ,          ,     (ࠫ廠 Edge).    ,    ,    .         .

  Edge-      ,       ,     .      ,        .       .

  IIoT  4.0Edge-     ,          .     ,        .      .

:     Edge-          .

ߠ4.0

 4.0(  )    ,       .        ,   ,    .         .

   4.0     ,     ,    .    ,  ,       ( ).      .

  4.0   ,      ,    ,    .    ,      .         .

: ,    4.0,       ,  .

  ()

 ,  ,     ,          .     ,   ,       .          .

     ,     ,      ,   ,      .    ,      .          .

               ,    .            .        .

:      ,       .

AMR (Autonomous Mobile Robots)

AMR,    ,    ,   ,               .        ,     .        AGV.

     ,  ,   ,             .    , AMR          .      .

  AMR     , ,         .             .        .

:AMR       ,    .

IIoT (Industrial Internet ofThings)

IIoT,    ,     , ,   ,    .     ,       . IIoT          4.0.

  IIoT   ,   ,   ,     .     ,   , ,  ,      .       .

 IIoT    ,   ,  ,      (OEE).      ,           .       .

:  IIoT          .

OEE (Overall Equipment Effectiveness)

OEE,    ,   ,          .    ,            .  OEE     .

OEE      :  (Availability),  (Performance)  (Quality).     -  ,      ,   -  .      .

 OEE        ,       .  OEE     ,     .  100% OEE   ,      85%.

:     OEE   65% 78% .

RUL (Remaining Useful Life)

RUL,    ,   ,  ,   (,   )  ,  ,          .          .        .

 RUL      ,      ,         (IIoT).     ,     .   ,    .

  RUL           ,   ,        .        ,        . RUL      .

:    ,  RUL     450 .

Data Lake ( )

Data Lake,   ,   ,      ,     ,  .      (Data Warehouse),      (Schema-on-Write), Data Lake   Schema-on-Read.      .

 Data Lake      ,  IIoT-, MES-, ERP-, ,     .                 .      Big Data.

Data Lake      ,      ,    .      ,          .   Data Lake       .

:    5000IIoT-      Data Lake   .

MLOps (Machine Learning Operations)

MLOps   ,         ,   ,     .      DevOps,     ,     , . MLOps    .

  MLOps        (Time-to-Production)      .      ,  ,     (CI/CD)  .       .

   MLOps ,          -       (Data Drift).  MLOps          .        -.

:    MLOps        RUL  .

XAI (Explainable Artificial Intelligence)

XAI,    ,    ,    ,    ,     . XAI        ,    .      .

   ,  ,       ,    ,  . XAI   ,            .     .

   AI ACT, XAI    ,   ,      . ,      , XAI  ,   , ,    .       ,   .

:  XAI ,          ,  .

MVP (Minimum Viable Product)

MVP,    ,    ,      ,        .  MVP        -   .      (Agile).

 MVP        ,     .    MVP       ,    ,   ,     .     .

     , MVP      ,     ,       .      ,      .        .

:   MVP            .

ROI (Return on Investment)

ROI,   ,   ,           .          ,  .          .

     4.0,  ROI       ,    ,    ESG-.  ROI     ,       .     , TVO.

 ROI            .    ROI           ,  ,   -.  ROI    .

:      ROI 25%    .

TCO (Total Cost ofOwnership)

TCO,    ,   ,      ,  ,          .     ,   , ,     . TCO     .

      (CapEx), TCO     (OpEx),   ,   , ,    .  -, TCO    ,   ,    .       .

 TCO    ,      ,        .  TCO    (,  Edge-)     .   TCO     .

:  TCO , ,     ,  Edge-     .

  (CPS)

  (CPS)  ,   ()  ,      .      ,  ,   ,      .       4.0 .

CPS   ,      (, , ),   (, Edge-),   ,   (, ),    .         (IT)   (OT).     .

        ,     ,   .    ,    ,   .  CPS     -    .

:      ,      .

  (MAS)

  (MAS)   ,     ,         .   ,     ,       .       .

 MAS ,        , , ,     .        (AMR),      ,  .   ,      .

   4.0, MAS     ,       ,  .           . MAS        (MARL).

: Ѡ       50AMR ,    .

  ( Ѡ,RL)

  (Reinforcement Learning, RL)    ,   ,          .  ࠖ    ,       .          .

   , RL    ;      ,   ,   -   .      ,  ,      ()  .       .

        ,     ,       . RL   ,   ,     .        .

: -,   ,        .

Transfer Learning ( )

Transfer Learning,   ,    ,   ,       (),      ,   ().      ,     ,    .       .

         (,    ),      ,      .           .      .

  , Transfer Learning  , ,    . ,      ,          .    -          .

:   Transfer Learning,  ,   ,    .

Federated Learning ( )

Federated Learning,   ,     ,         ,     -.        ,     .       .

  ,           ()      .          ,    .         .

  , Federated Learning              ,     .            .        .

:  -  Federated Learning     RUL,     .

Time-Sensitive Networking (TSN)

Time-Sensitive Networking (TSN)   ,  IEEE,     Ethernet   ,     . TSN    (),   ,      .        .

  TSN      (  ,   ,  IT-)   ,         .  ,            .      .

  , TSN      ,  ,         .      ,      .  TSN      IT OT 4.0.

:    Time-Sensitive Networking     -  .

 

 ⠖          (  , , ,    )       .       ,   .      .

  ,        ,   ,        . -,    ,   ,      .      .

      ,   ,        .        ERP- IIoT-.        .

:   ,  ,     12%    .

 

 ࠖ    ,        ,    .  ,     (on-premise) ,   (Private Cloud)   (Public Cloud).     ,  .

         Edge- (,    )   (  Data Lake,    ).         ,     .       .

     ,              .         .         .

:    -  ,   ,    Edge-.

 

     ,            ,     .           .      .

        ( ),     ,   , AMR  .      ,      .      .

               .       (   )  ,   .         .

:    ,               .

  (Zero Trust)

  (Zero Trust)    ,   :  ,   (Never Trust, Always Verify).    ,       , Zero Trust   ,        .     .

    ,           .         ,      ,     .       .

  ,  IIoT     , Zero Trust       (OT).          ,    .           .

:                .

 

     ,     (, , , ,  , ),    ,       .           .      .

            (  ). ,    ( )  ( )        .           .

    (AMR)      ,     .      ,       , ,  .       .

:   AMR     ,        .

 

      ,      , ,  ()   ,      .    ,       .       .

      (,  )  ,      . ,      ,            .    .

       -  (HMI)       .  ,      ,          .        .

:           30  .

 

      ,             -,   .    IT-,   ,      .      .

        4.0,    , IIoT,  ,    ,      .     ,   (MVP)   .      .

   蠖   ,         ,  .      ,  ,      (MLOps, XAI).         .

:       IIoT-  Data Lake    .




 (, )


          $4.0$   .  ,    ,     ,   .           ()     (CPS).      ,   蠖  ,    ,         (IIoT)    蠫 ,      .

         .       (Mass Customization),         (Batch Size One)      . ,          .    , ,    (Reinforcement Learning)   ,   ,       ,      on-the-fly  .

 ,          ,      .  -     ,          .   ,   IIoT,          ,      (AGV, AMR)    .  ,               ,   (ESG) .

,             (  )  .        ,            .          (Predictive Maintenance),     ,       .

     :   ,      (CPS)  .      ,    ,         .        ,      ,        (Learning from Experience).  ,     ,         -    .

     ,     ,         -      .            .

      ,       ,    . Ѡ ,  ,       .    ,       (Deep Learning),      (CNN)   ,    -.  , ,   ,      ,    (Data Governance),    (Legacy Systems), ,  ,   .  ,  ,      .

Ѡ ,  ,      .    ,  ROI (Return on Investment), TCO (Total Cost ofOwnership)  ,     ,       .  -     ,        (,  ), ,  ,   (,      ).        ,    - .

      , - .   蠖   Data Science  ;  ,  ,      ,  ,   (IIoT Security)  .   ,    ,   (, Edge Computing),  (Deployment),  (MLOps)  -,    :

 : -       ,      .

    :  ,    ,        ,       .

 ,       ,     -  ( ) -  ( ROI),  ,       .

               ()      .

  :      ,   ,    , ,        .  ,      ,  -       -    ,  ,  .       (Governance and Strategy)   (Deep Learning Architectures)   (MLOps).

    :     ,         ,      哻.     ,    ,       .    :

 : ,   ,     ,   ,  ,      .

 :       .

  :     ()    ()     ,    .     :

   :          (AI Maturity Assessment),     ,       .

   :           (Roadmap Development)  -,        .

 ,      ,   ,     ( )   ( )    -   $4.0$.

  ,        ,        .

     :       (Simple Actuators)    ,     .          (Cognitive Agents)  ,  - , ,       .

  :         ,     :

  (Predictive Maintenance, PdM):            . PdM       (Time Series Analysis)          (Remaining Useful Life, RUL)   Edge-        .

  (Digital Twin, DT):       ,        . DT  ,  -  ,  (insilico),      PdM.

  (, Cobots):     ,     -    .     -  ,   ,    ,    Edge-  .

 :    ,    ,   蠖    ,    ,   (Cloud-to-Edge)  .      ,     ,       .

 :  

        4.0,        ,    .       ,     ,   ,     .          ,    -  .  ,          蠖 ,  ,    ,      .        .

  ,  ,    ,          .             -    ,     .      ,            (,  )   ( ,  ).    ,        - (  )    (  ).

   ,     ,      .           .       ࠖ ,   ,   ,   ,  , ,      哻.   ,  ,        -,   ,   ,     ,    .      ,     ,        ().




 :  


     ,    ,      ,     .

-,         .         ,     ,   ,  ,   .      ,     -  .       ,     (ISO, ),    .      ,     -:

IIoT (Industrial Internet ofThings)      ,    .

MLOps (Machine Learning Operations)   ,   , ,      -   .

RUL (Remaining Useful Life)   ,      (Predictive Maintenance),       .

XAI (Explainable Artificial Intelligence)  ,       ,          .

      ,            .

-,    ,   ,   - .                    .  ,       ,      .           ()  .     -    ,     .   :

 (   /,   IIoT ).

 (  ,   RUL  ).

  (  ,     -,    XAI   MLOps).

     ,   -,       ,        .

 :   

         ( 12)   ,          .

-,            .         ,    .    ,      (  ,  )      -.

     -   :

 :  ,     (,    Autonomous Robotics)  ,   -.

 : ,  ,    ( ,     )       :

  (Multi-Agent Systems):    ,    (, ,  )    .

  (Reinforcement Learning, RL):    ,      ,    (,   )     .

 , RL       ,  堖    .

     ,    ,    ,     .

-,         .     -       ,    ( ,  ,   ).

     :

  (Governance Reproducibility):      AI (,  , , ,  XAI)  :   ,  . ,     ,       .

  (Deployment Reproducibility):    (Staged Validation)   (MLOps),  ,      (,   $\rightarrow$   $\rightarrow$  )        (   ,   IIoT).

       ,       .

 :    

5.        (AI Maturity Models)

        ()     .   ,  ,          .

 :

  :       (, Gartner, BCG, McKinsey,    ),         .

   :     (,  ,   )      (,  ).

   :   ,       (Foundation Level),     ꠫    ,       (Advanced Level),     .

:    ( ),                   ,     .

6.      

 ࠖ     ,   15,   ,   ,   (,   -).         -.

     :

 :    ,     ( 3)    / (4).

  :  ,    ( 5),      , ,  -.

  :      (IIoT-, MLOps-)       .

 :  ,  -  ( 4),   ,    .

:  ,    ,               .

 ,      , ,    (auditable) ,    ,               ( 4.0/5.0).

 -          (CAPEX)  (OPEX) .      ,       (TCO)     ,    .

Ÿ       ,   , :    ( ,  ,   -)   - (Vendor Lock-in).  ,     ,        .

    ()             (Retrofit-); ,  ,     .           .       -,     ,       .          ,   (Data-Driven),             (KPI).          , -  .        ( , -),    ,    ,       -   .          ,   .   ,   ,    , ,     ,       ,     .




2.    


        ,    ,   蠫ѻ  ,     .             .

    ,       (, ,  ) ,   ,    蠖  .

 :  - - .        .

  -   ,     砫    (,   , SLAM-)      (,  , , , ).

    (  ),      ,    : 1.  ; 2.   ; 3.  ; 4.   ; 5.    .

  ,       ,  . ,  2      ,     OEE RUL.

     ,   ,     (,     1)     (   5),      (KPI, ROI 4).

 

          ,   :

 :     .

  :   砫.

 :       /, ,     ,  ,    .

  : ,      (,   - ꠫  )   AI Maturity Model.

   ():      ,   .     .  ,     -,      ,   ,      .

  :    - .     Python 3.10.x  : NLTK ( 3.8.1), scikit-learn ( 1.2.2) Pandas ( 1.5.3).          PyTorch.

 :     ,    ,    ,          -     (Edge Computing).

  :  ,     ,  .  ,         k-  k=5.      (LDA)  :   T=10,   Iter=1500,  alpha =0.1.

   :      .   F_1   0.88( pm 0.02).        (checksum)   ,          .

  :   ,    ,             .

            . ,        ,    (     )   .

    -        ,   ( ),      .




3.  ( )


   - -      ,       ,         .

 1:    .       .     ,       ,    .  :  -   ;       DATA LAKE;        MVP (  )    .

 2:    2025.        -    (AMR)   ().        ,   ,     .        ,       (OEE)      (RUL).

 3:    .    ࠖ    ,     .  ,     (MES, ERP-)     (OPC UA, MQTT)    (Time Synchronization).       :      ,        (ISO/TS $15066$).

 4: ,   .    蠖 ,      ,     (AI Factory)   Change Management ( ).     :       (  ,   ),    (ESG-,  CO?- ),   Total Value ofOwnership (TVO)  ROI.

 5:  -  .     .       (Digital Twin) . DT,   IIoT-  DATA LAKE,    , ?       .   ML       ML,    ML (Pipelines)          .

  ,    80 ,   ,         .       ,         .




4..  ()


          ,   ,  .     ,      ,         .

       (, The Smart Factory, World Economic Forum) ,    1( )       (AI Maturity Model)    .         ,  - KPI,        .

  23    ,   AMR   .     ,     ,     .             ,     ISO.

   4()     .   ROI    ,   -     TVO,   ,   ,   ( )   (Change Management).   ,  -ࠖ   ,    ().

 5,   ,     .   (Digital Twin)    ,   (),    (Twin-to-Physical)     .       ,  -  (AI-Ready Factory)     堖 砖 .

       (XAI)  ,   2( )  5( ML).     ,   ,  -    , ,         .     (  )   -   .

 ,      ,       ,  ,          .




5..  



     ,           .   ,  -   ,      .

   ,        , ,  ,     .        ,           .




 


  :  -      ( ,  )    -    (ROI, TVO),   1.

  :         (HRC)    (AMR),     (ISO/TS 15066)  (  ).

 :  Ƞ   ,     (  ,  )   -   .

:

  :         ,     (PoC, MVP),   .

 /-:    (Edge + ),        (Edge-  DT)    ( ).

  :        ,     + Ȼ,       .

 :

               .   ,              Total Value ofOwnership (TVO).  ,     (NPV)    (ROI),  ,       .     TVO,       (  ),   .

 ,         CO


- . -,   ,     ,       (ESG-).  TVO      (Shadow Carbon Price)  ,     .  ,       . ,    (Robustness),        (,       ),     .     (,        )     TVO       -.

,           (MARL)    .    (Self-Organizing Factory)    ,   ,       . MARL             (,        )   .        (Digital Twin)  ,      ,       .    ,   ,   MARL,    ,  ,     ,    .

,        -      AI ACT (  ).    -      (High-Risk AI Systems) -     ,   ,  ,      .       (Transparency),  (Explainability XAI)  (Robustness) ,     (Human-Robot Collaboration, HRC).        (Human-in-the-Loop)  ,       ,      ,   ,           .           ,    ,    -.




       


1.     / ѻ

    / ѻ,         ,    .        ,       ,      ,   .  ,    ,  ,     ,       . ,  ꠫,      ,       .         ,   ,         .           ,         .  ,   ,         ,     .         ,         .

2.     

        ,  1950-  (, , ),     2025 (, , ).                ,    .  ,    ( , , ),  ,         ,      .            , ,       .  ,   ,    ,       .            ,    .  ,   ,    ,      .

3.     

  / ѻ ,  , ,         ,   . ,    ,  ,    ,      : ,     .        ,      ,          .       ࠫTransfer Learning  Federated Learning,      ,   ,   ,      .            ,        .  ,          ,      .        .

4.    

    ( ),      ,    ,   .   -            .  ,      ,    ,        .    :      蠫,    .        -  . ,          ,   .    ,      ,    ,     .

5.    (  )

    ,      (.., .., .., ..),     (.., ..). ,      ,  ,         .        ,         ,  ,     .     ,  ,        ,     .  ,             XAI ( ) Zero Trust.        ,  .

6.    

              . ,    ,       ,       .  ,     (  ),    (   ),      ,     .              .       (Lifelong Learning),    ,      4.0.             .

7.     Ƞ ߻

    ⠫  Ƞ ջ,      .     ,       .          ,    ,   , ,   .         .    ,       ,     .     :    ?.       ,      - .

8.      

         ,      .    ,   ,         ,      .   ,  ,     ,           ꠖ    .   ,       ,        .      ,         .

9.    

  : ,  .      ,    ,    ,     (, , Wiener N.).     ,       ,     .      , ,  ()   ( )    .            ,    .      -, ,  ,    .

10.      

       ,       ,  .    / ѻ  :    ,    ,  .  ,     ,    ,         .  ,    ,       ,  .    ,         ,      .  ,        ,         .






 


 .  :  . 2- . -  . 1980.

..    . .: , 2019. 360. .

 .  . -. 1983.

 .  . . .  / . ... .: ,  , 2016. 496.

 .  :  :  : [16+] / .  . .:  -, 2020. 361. ISBN 978-5-00139-080-03000.

 .   . ,     = Roger Bootle. The AI Economy: Work, Wealth and Welfare inthe Age ofthe Robot. .:  , 2022. 432. ISBN 978-5-907394-25-4.

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1.1    (10)


   AIoT (AI + IoT) 4.0.

        .

         ,          頖 AIoT.

 McKinsey, 2025    AIoT   $1,2,  3,5   2020.

 4.0,  ,   젖      , ,   .

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,    4.0,  2035%    1530%   .

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 :      頖       .

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   :  ,    , -     .

  Foxconn Siemens Amberg    ,  75%       .

 AIoT    ,         .

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    (OPC UA, MQTT, Time-Series DB)    ,     -.

 ,   edge-       ,     .

     , ,    .

 , AIoT   ,   ,  .



 4.0   : IoT, Big Data,  , ,  ,   ,  , /   .

   ,       ,  ,  ,    ,     .

 Bosch  -       ,   40%  2,7   .

  :     ,     .

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   :         .

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       黠      .

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    ,     ,      .

   , 2027 50%       Ƞ  ,     .

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    :         .

 BMW       22%    ,   .

       ,  .

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            .

  :  Industrie 4.0Maturity Index Acatech, Smart Industry Readiness Index (SiRI) T?V S?D,   , ,   .

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,        :   ,   ,   .

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      ROI,   .



     :  ,  ,  /-,  ,   .

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 2  ,  MES ERP ,       .

 3 ,    ,     .

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 5 :    ? - ?     .

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      5,   : ,     .

  69         .

 :      , , , ?    .



     ,   .

    :       -,    .

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 ,  3050%          .

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       (Process Digital Twin),      .

 ,    ,   -.



    ,    .

 : 67%      , ,     .

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   ,    legacy- .

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 TCO (Total Cost ofOwnership)  : , , , ,    .

            .

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 ( ,  ,    )   50%  .

 :    510%   /  3 ?

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   堫 , ࠫ    .



            .

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     哻


AIoT (AI +IoT)

 ,        (AI)    (IIoT). AIoT   ,  ,     (, , ), ,       ,        .

  AIoT   ,  IIoT-    ,   , , ,   , AI-蠖  ,    .         ,    ( ),      .

  AIoT      ( )  .       ,      砖 堖     .  AIoT    ,       .

BIGDATA

  ,   ,      ,      (Velocity),   (Volume)    (Variety).   Big Data   ,  SCADA, MES, ERP, ,    (, ).

 Big Data     ,    ,   NoSQL- ,    (, Hadoop)   .    ,    ()  ,       .

Big Data           .  ,              .  Big Data        .

CAPEX (CAPITAL EXPENDITURE)

    ,  ,       .    CAPEX     (, ,  ),         /-.

,   CAPEX,          .     ,   CAPEX   ,     Π,    ,    .

 CAPEX        (OPEX)     (AI-as-a-Service),        .     OT-      ,  ,   CAPEX.

CENTER OFEXCELLENCE Π

    -   ,    ,      . Center ofExcellence (CoE)   ,   , -, -  /.

  CoE   ,    ,      ,   -. CoE       -      -.

    CoE   -,  -,      .        ,       ,  .

EDGE-

  ,    ,             (edge),    ,      .      ,      .

   Edge- ( )      (latency)   . ,             ,     . Edge    .

 Edge-    ,       ,       .         ,         -.

MQTT

   ,   / (Message Queuing Telemetry Transport).    ,               .

MQTT      (IoT)    (IIoT)           .   -    ,      ,   .

  MQTT 蠖         (, )      Edge-.    ,   -   IoT-,    ,   OPC UA,   AIoT.

MVP (  )

  ,      ,    ,         .   MVP (Minimum Viable Product)        .

   ,  MVP $\rightarrow$      .          ,     (MVP)      . ,       .

 MVP  69     (ROI)     ,       .             .

OPCUA

   (Open Platform Communications Unified Architecture)  , - ,        ,  , ,   .     OPC, ,  ,    Windows.

OPC UA   ,    (PLC, )     (MES, ERP, )      .       (, )    (),     -.




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