Process Industry

Intelligent Process Industry Systems

 • AIoT • Private 5G • Embedded Intelligence for Safety-Critical Operations

Connected Chemical & Industrial Plants
Program Vision

What This Program Enables

Monitor critical equipment in real time

Improve process reliability and safety

Reduce downtime via predictive analytics

Deploy secure private wireless infrastructure

Transition from legacy monitoring to intelligent systems

Validate KPIs under real operational constraints

Who Is This For

Target Organizations

Chemical processing plants

Pharmaceutical manufacturing

Oil & gas processing facilities

Hydrogen & specialty chemical plants

Food & beverage processing

Advanced materials & coatings plants

Level 1

Digital Transformation in Process Industries with AIoT & Private 5G

60 Minutes
Target: Plant Director, Head of Operations, Engineering Manager

Part 1   Industry Context

10 min

  • Regulatory & safety constraints
  • Process stability requirements
  • Cost of downtime
  • Increasing energy & ESG pressure
  • OT/IT convergence challenges

Part 2   Technology Stack Simplified

15 min

  • Industrial IoT in process environments
  • Edge AI for anomaly detection
  • Private 5G vs legacy wireless
  • Real-time KPIs and signaling analysis

Part 3   High-Impact Use Cases

20 min

  • Pump & compressor predictive maintenance
  • Pressure & temperature anomaly detection
  • Tank level & leak detection
  • Safety monitoring systems
  • Real-time quality assurance

Part 4   Deployment Roadmap

10 min

  • Phase 1: Data acquisition layer
  • Phase 2: Wireless infrastructure
  • Phase 3: Edge intelligence
  • Phase 4: KPI validation & optimization

Part 5   IICT Enablement

5 min

  • Engineering upskilling
  • Lab-driven simulation
  • Pilot use-case validation
  • KPI & signaling analysis framework

Level 2

Applied AIoT & Private 5G for Process Industry Operations

8–12 Weeks
Target: Process engineers, Control engineers, OT/IT teams

Concept videos

Interactive handbook (RISE / digital manual)

Hands-on cloud/VM labs

Optional hardware lab extensions

Capstone project

A

Industrial IoT for Process Monitoring

Module Block A
  • Protocols & interoperability (MQTT, REST)
  • Secure industrial communication
  • Sensor integration (I²C, SPI, UART)
  • Pressure, temperature, flow sensing basics
  • Sampling & signal integrity
  • Data persistence & visualization
  • Process KPIs & historical trend analysis

B

Private 5G & Reliable Industrial Wireless

Module Block B
  • 5G infrastructure for plant environments
  • Core & RAN basics
  • Modem configuration (AT commands)
  • Linux-based interface setup (QMI, MBIM)
  • Signaling & latency measurement
  • KPI evaluation & optimization
  • GNSS integration where applicable

C

Embedded AI for Process Stability

Module Block C
  • ML for sensor data
  • Feature extraction for time-series
  • Lightweight models (SVM, NN, Decision Tree)
  • Quantization & optimization
  • Edge deployment
  • Inference loop validation
  • Performance & energy profiling

D

Energy & Efficiency Monitoring

Module Block D
  • MCU low-power modes
  • Energy profiling
  • Data-driven optimization
  • Sustainability KPIs
  • Dashboard-based reporting

E

Security & Reliability Concepts

Module Block E
  • Secure communication basics
  • Isolation between IT & OT
  • Monitoring network interfaces
  • Fail-safe design thinking

Capstone Project

Intelligent Process Monitoring System

Deliverables

  • Embedded sensor node (temperature/pressure)
  • Wireless communication via LPWAN or 5G
  • Edge AI anomaly detection
  • Data persistence & dashboard
  • KPI-based performance report
  • Reliability evaluation
  • Architecture documentation
  • Lab validation results
  • Risk & reliability assessment

Engagement Models

Flexible Program Formats

Executive Awareness Session

60-minute strategic overview

Engineering Enablement Program

8–12 week hands-on upskilling

Transformation Program

Custom pilot + training + KPI validation

Strategic Positioning

This Program Is

A safety-aware, reliability-driven AIoT & Private 5G engineering enablement program tailored for process industries

Generic AI training

Generic IoT theory

A telecom-only program

IICT enables process industry organizations to transition from legacy monitoring to intelligent, connected, KPI-validated operations through applied AIoT and Private 5G engineering enablement.

Meet the instructor

—

IICT  GmbH, Germany

About  the Company
IICT GmbH (International IoT & Communication Technologies) is a Germany-based technology company creating testbeds and hands on labs in IoT, next-generation wireless systems, embedded AI and AIoT. With deep expertise in 5G/6G, LPWAN, Embedded Systems, and Edge AI, IICT designs industry-aligned lab infrastructures and hands-on training programs for universities and technical institutions worldwide.

IICT’s Virtual and Hardware Lab Courses are developed by industrial and research experts using real-world tools, open-source platforms, and industrial-grade frameworks. Through its global Lab-as-a-Service (LaaS) model and Centres of Excellence, IICT enables academic institutions to deliver cutting-edge, project-driven learning experiences—empowering students to build careers in emerging technologies.