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DTSTAMP:20260916T121417Z
UID:DC301CCF-A991-4EBE-87A5-DED041658AC8
DTSTART;TZID=Europe/Warsaw:20260916T093000
DTEND;TZID=Europe/Warsaw:20260916T101500
DESCRIPTION:Modern industrial systems increasingly need to bridge two world
 s with fundamentally different constraints: deterministic\, real-time cont
 rol at the shop floor and data-intensive\, AI-driven analytics in the clou
 d. This talk argues that real-time performance is not a property that scal
 es uniformly through the system\; it exists only in a narrow &quot;waist&quot; betwe
 en two much larger\, inherently non-real-time layers. At the bottom\, sens
 ors\, PLCs\, and SCADA systems are constrained by energy budgets\, making 
 continuous\, deterministic transmission impractical\, especially in IoT an
 d IIoT deployments. At the top\, big data\, AI/ML pipelines\, digital twin
 s\, and LLM-based agents operate on volumes of data that preclude hard rea
 l-time guarantees. Only in between - where standards such as OPC UA FX and
  the emerging IEC/IEEE 60802 Time-Sensitive Networking profile now converg
 e to provide a common data model over deterministic Ethernet - can true re
 al-time behavior be achieved. Drawing on the presenter&#39;s work in industria
 l communication and Service-Oriented Architecture\, as well as recent work
  on vision-based diagnostic systems (including the MEDUSA project for ultr
 asound-based synovitis detection)\, the talk traces how data flows from th
 e physical layer\, through this real-time core\, up to signal and image pr
 ocessing\, edge AI\, and cloud-based analytics. The talk situates this &quot;ho
 urglass&quot; architecture within current standardization efforts (ISA-95:2025\
 , RAMI 4.0/Asset Administration Shell\, ISO 23247\, OPC UA FX/TSN) and dis
 cusses the practical implications for designing systems that combine deter
 ministic control with modern AI-based decision support.\n\nCo-sponsored by
 : Poznan University of Technology\n\nSpeaker(s): Professor Marcin Andrzej 
 Fojcik\, \n\nRoom: room 201\, Bldg: CENTER FOR MECHATRONICS\, BIOMECHANICS
 \, AND NANOENGINEERING\, POZNAŃ UNIVERSITY OF TECHNOLOGY\, ul. Jana Pawł
 a II 24\, 61-131 Poznań\, Poland\, Poznań\, Wielkopolskie\, Poland\, 61-
 131\, Virtual: https://events.vtools.ieee.org/m/575270
LOCATION:Room: room 201\, Bldg: CENTER FOR MECHATRONICS\, BIOMECHANICS\, AN
 D NANOENGINEERING\, POZNAŃ UNIVERSITY OF TECHNOLOGY\, ul. Jana Pawła II 
 24\, 61-131 Poznań\, Poland\, Poznań\, Wielkopolskie\, Poland\, 61-131\,
  Virtual: https://events.vtools.ieee.org/m/575270
ORGANIZER:adam.dabrowski@put.poznan.pl
SEQUENCE:49
SUMMARY:The Hourglass of Industrial Data: from Real-Time Signal Processing 
 to AI
URL;VALUE=URI:https://events.vtools.ieee.org/m/575270
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;font-size: 11.0p
 t\; line-height: 102%\; font-family: &#39;Calibri&#39;\,sans-serif\; mso-fareast-f
 ont-family: Calibri\; mso-bidi-font-family: &#39;Times New Roman&#39;\; mso-ansi-l
 anguage: EN-US\; mso-fareast-language: EN-US\; mso-bidi-language: AR-SA\;&quot;
 &gt;Modern industrial systems increasingly need to bridge two worlds with fun
 damentally different constraints: deterministic\, real-time control at the
  shop floor and data-intensive\, AI-driven analytics in the cloud. This ta
 lk argues that real-time performance is not a property that scales uniform
 ly through the system\; it exists only in a narrow &quot;waist&quot; between two muc
 h larger\, inherently non-real-time layers. At the bottom\, sensors\, PLCs
 \, and SCADA systems are constrained by energy budgets\, making continuous
 \, deterministic transmission impractical\, especially in IoT and IIoT dep
 loyments. At the top\, big data\, AI/ML pipelines\, digital twins\, and LL
 M-based agents operate on volumes of data that preclude hard real-time gua
 rantees. Only in between - where standards such as OPC UA FX and the emerg
 ing IEC/IEEE 60802 Time-Sensitive Networking profile now converge to provi
 de a common data model over deterministic Ethernet - can true real-time be
 havior be achieved. Drawing on the presenter&#39;s work in industrial communic
 ation and Service-Oriented Architecture\, as well as recent work on vision
 -based diagnostic systems (including the MEDUSA project for ultrasound-bas
 ed synovitis detection)\, the talk traces how data flows from the physical
  layer\, through this real-time core\, up to signal and image processing\,
  edge AI\, and cloud-based analytics. The talk situates this &quot;hourglass&quot; a
 rchitecture within current standardization efforts (ISA-95:2025\, RAMI 4.0
 /Asset Administration Shell\, ISO 23247\, OPC UA FX/TSN) and discusses the
  practical implications for designing systems that combine deterministic c
 ontrol with modern AI-based decision support. &lt;/span&gt;&lt;/p&gt;
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