Raw & Advanced Materials

Intelligent Raw & Advanced Materials Systems

 • AIoT • Private 5G • Embedded Intelligence for     Mining, Processing & Advanced Materials

Digitalization of Mining & Materials Processing

Program Vision

Program Vision

What This Program Enables

Monitor assets in harsh environments

Reduce downtime via predictive maintenance

Improve energy efficiency

Increase safety through intelligent monitoring

Deploy private wireless infrastructure

Move from legacy SCADA to AI-driven operations

Who Is This For

Target Organizations

Mining companies

Mineral processing plants

Recycling & circular economy plants

Battery materials production

Rare earth & critical material processing

Hydrogen & advanced material production sites

Level 2

Applied AIoT & Private 5G for Raw & Advanced Materials Operations

8–12 Weeks (Modular)
Target: Mining engineers, Process engineers, Automation teams

Concept videos

Interactive digital handbook

Hands-on cloud/VM labs

Optional hardware lab extensions

Capstone project

A

Industrial IoT for Harsh Environments

Module Block A
  • Sensor interfacing (I²C, SPI, UART)
  • Industrial vibration & temperature sensing
  • Sampling & signal quality
  • Embedded logging
  • MQTT & REST integration
  • Data serialization
  • Time-series persistence
  • KPI dashboards

Use Case

Build a vibration monitoring node for heavy machinery

B

LPWAN & Remote Wireless for Mining Sites

Module Block B
  • MIOTY fundamentals
  • Energy-efficient sensor networks
  • Regulatory aspects
  • KPI calculation
  • Remote node configuration
  • Timing & performance optimization

Use Case

Wireless sensor network for remote conveyor system

C

Private 5G for Mining & Processing Plants

Module Block C
  • 5G infrastructure overview
  • Core & RAN basics
  • Underground / plant deployment scenarios
  • Modem configuration & AT commands
  • UE simulation
  • Linux-based interface setup (QMI/MBIM)
  • Signaling & latency optimization
  • KPI evaluation

Use Case

Private 5G connectivity for autonomous mining vehicles or plant robotics

D

Embedded AI for Predictive Maintenance

Module Block D
  • ML for sensor data
  • Feature extraction
  • Lightweight models (SVM, NN, Decision Trees)
  • Quantization & model optimization
  • Deployment on microcontrollers
  • Inference validation
  • Energy profiling
  • Wireless transmission of inference results

Use Case

Anomaly detection on rotating equipment

E

Sustainability & Energy Monitoring

Module Block E
  • Energy-efficient MCU configuration
  • Sleep cycles & low-power modes
  • Energy profiling
  • ESG-related KPI tracking
  • Historical trend analysis
  • Dashboarding for sustainability reporting

Capstone Project

Intelligent Materials Plant Monitoring System

Deliverables

  • Embedded vibration or temperature monitoring node
  • LPWAN or 5G communication link
  • Edge AI anomaly detection
  • Data persistence layer
  • Dashboard with KPIs
  • Energy profiling & efficiency report
  • System architecture
  • Lab outputs
  • KPI validation
  • Final presentation

Engagement Models

Flexible Program Formats

Executive Briefing

1-hour awareness session

Engineering Upskilling

8–12 week enablement

Smart Materials CoE Program

Annual partnership – Lab platform licensing, faculty enablement, pilot support

Strategic Positioning

This Program Is

A deployable AIoT & Private 5G engineering enablement program tailored to raw & advanced materials operations

A generic IoT course

A generic AI course

A mining theory course

A deployable AIoT & Private 5G engineering enablement program tailored to raw & advanced materials operations.

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.