Data from Field to Cloud and IIoT: MCA World Fair 2026
Architectural principles for non-intrusive PLC telemetry ingestion, edge computing, and sensorless predictive maintenance in brownfield factories.
Heterogeneous machinery across brownfield industrial plants often forms isolated data silos; industry reports indicate that nearly 70 percent of machine telemetry is lost without analysis as dark data. This panel presentation examines non-intrusive passive PLC data collection, edge bandwidth optimization, Store and Forward resilience during network dropouts, and PackML-based sensorless predictive maintenance with concrete industrial implementations.
Project Overview
| Property | Value |
|---|---|
| Event | MCA World Fair 2026 |
| Location | Gaziantep, Shimall Hotel and Congress Center |
| Date | April 2, 2026 |
| Role | Panelist / Solutions Engineer |
| Format | Industry Panel Presentation |
| Focus | IIoT, Edge Computing, Predictive Maintenance, PackML |
Scope of Presentation
The presentation was structured across four main architectural pillars:
- Plant Reality and Dark Data: Heterogeneous machine parks spanning multiple generations and protocols (Siemens, Omron, Modbus RTU) causing operational blindness, leaving the majority of raw machine data unanalyzed and maintenance purely reactive.
- Non-Intrusive Passive PLC Ingestion: Eliminating the operational and warranty risks of custom push blocks by querying standard communication registers via read-only requests without disrupting active PLC scan cycles or invalidating OEM warranties.
- Edge Computing and Data Resilience: Filtering stationary signals locally with Deadband thresholds to preserve up to 80 percent of bandwidth, computing 10-second micro-summaries, and safeguarding telemetry through a three-tiered (RAM, SQLite, FIFO) Store and Forward model during connectivity outages.
- Sensorless Predictive Maintenance and Servitization: Detecting mechanical wear through standard PackML execution states (Execute, Suspended, Held, Aborted) without retrofitting expensive vibration sensors, unlocking recurring servitization models for machine builders.
Hardware Convergence
The IIoT data ingestion and edge computing infrastructure detailed in this presentation operates on the exact same physical in-panel hardware as the remote service architecture presented the previous day. A single DIN-rail gateway handles both secure P2P remote access and multi-protocol IIoT ingestion concurrently.
📥 Presentation Materials
ℹ️ The presentation slide deck in PDF format is available below for viewing and download:
📚 References
IBM (2020). Extracting Business Value from the 4 V’s of Big Data. IBM Big Data Hub.
IDC (2018). Data Age 2025: The Digitization of the World. International Data Corporation.
OMAC (2021). PackML Standard: Packaging Machine Language (ISA-TR88.00.02). Organization for Machine Automation and Control.
📋 Related Links
🔗 Dark Data in the Field: Turning Factory Data into Value with IIoT Infrastructure
📂 Secure Remote Service for Machine Builders: MCA World Fair 2026 Panel Presentation