THE INTERNET OF THINGS (IoT) IN CHEMICAL PROCESSING & CHEMICAL MANUFACTURING
Harnessing Smart Technologies to Optimize Chemical Operations and Drive Digital Transformation
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 22 – 26 Dec 2025 | London, UK | USD 3495 per delegate |
Course Introduction
The chemical processing and manufacturing industry is embracing digital transformation to boost productivity, ensure safety, and improve sustainability. The Internet of Things (IoT) enables real-time monitoring, predictive maintenance, and intelligent automation across chemical plants and facilities. By leveraging IoT technologies, chemical companies can optimize processes, reduce unplanned downtime, and enhance regulatory compliance.
This 5-day intensive course provides chemical engineers, plant managers, and digital transformation leaders with a deep understanding of how IoT can be effectively integrated into chemical manufacturing operations. Participants will explore architectures, use cases, implementation strategies, and security considerations specific to the sector.
Course Objectives
By the end of this course, participants will be able to:
• Understand the fundamentals of IoT systems and their applications in chemical manufacturing
• Design IoT frameworks for process optimization, monitoring, and control
• Apply sensor-based technologies to improve safety, efficiency, and product quality
• Analyze IoT-generated data for predictive maintenance and real-time decision-making
• Address cybersecurity, data integrity, and scalability in IoT deployments
Why you Should Attend
• To improve plant efficiency and reduce downtime through connected technologies
• To ensure safety and environmental compliance using real-time monitoring
• To modernize legacy equipment with IoT-enabled retrofitting
• To leverage predictive analytics for proactive asset maintenance
• To build a roadmap for IoT integration in chemical manufacturing
Intended Audience
This program is designed for:
• Chemical and process engineers
• Plant managers and operations supervisors
• Automation, instrumentation, and control professionals
• IT and OT specialists in industrial environments
• Digital transformation leaders and project managers
Individual Benefits
Key competencies that will be developed include:
• Understanding of industrial IoT architectures and protocols
• Ability to evaluate and deploy sensors and smart devices
• Integration of IoT with SCADA, DCS, and MES systems
• Application of predictive maintenance and anomaly detection models
• Ensuring data security and reliability in plant-wide IoT networks
Organization Benefits
Upon completing the training course, participants will demonstrate:
• Increased production efficiency and process reliability
• Enhanced health, safety, and environmental (HSE) compliance
• Cost savings through early fault detection and energy optimization
• Strategic planning for Industry 4.0 initiatives in chemical manufacturing
• Improved collaboration between engineering, IT, and operations teams
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – IoT frameworks, smart manufacturing trends, and use cases
• Case Studies – Successful IoT applications in chemical plants and refineries
• Workshops – Sensor mapping, architecture design, and data analytics
• Peer Exchange – Group discussions on implementation challenges and solutions
• Tools – IoT device selection guides, dashboard templates, and ROI calculators
Course Outline
Detailed 5-Day Course Outline
Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: Introduction to IoT in the Chemical Industry
Module 1: Fundamentals of IoT and Industrial Applications (07:30 – 09:30)
• IoT components, network layers, and real-time systems
Module 2: The Digital Landscape in Chemical Manufacturing (09:45 – 11:15)
• Industry 4.0, digital twins, and smart factories
Module 3: Workshop – Identifying IoT Opportunities in a Process Plant (11:30 – 01:00)
• Mapping potential IoT applications across units
Module 4: IT/OT Convergence and Communication Protocols (02:00 – 03:30)
• MQTT, OPC UA, Modbus, and sensor integration
Day 2: IoT Architecture and Device Integration
Module 5: Industrial IoT Architecture and Data Flow (07:30 – 09:30)
• Edge computing, gateways, cloud and hybrid models
Module 6: Sensor Selection and Deployment (09:45 – 11:15)
• Temperature, pressure, flow, vibration, gas detection sensors
Module 7: Workshop – Designing an IoT Sensor Network (11:30 – 01:00)
• Coverage planning, redundancy, and calibration
Module 8: Connecting IoT to Existing Control Systems (02:00 – 03:30)
• SCADA, DCS, MES, and PLC integration techniques
Day 3: Data Analytics, Visualization, and Decision Support
Module 9: Real-Time Monitoring and Alerts (07:30 – 09:30)
• Dashboards, KPIs, and automated thresholds
Module 10: Predictive Maintenance and Anomaly Detection (09:45 – 11:15)
• Using IoT data for asset reliability and downtime prevention
Module 11: Workshop – Creating a Predictive Maintenance Model (11:30 – 01:00)
• Analyzing sample data from plant assets
Module 12: Visualization Tools and Reporting Dashboards (02:00 – 03:30)
• Power BI, Grafana, and plant analytics platforms
Day 4: Cybersecurity, Safety, and Compliance
Module 13: Industrial IoT Security and Risk Management (07:30 – 09:30)
• Threat vectors, secure protocols, and data protection
Module 14: Compliance and Regulatory Considerations (09:45 – 11:15)
• Process safety, emissions monitoring, and traceability
Module 15: Workshop – Conducting a Cyber Risk Assessment (11:30 – 01:00)
• Identifying vulnerabilities in IoT architecture
Module 16: Ensuring High Availability and Data Integrity (02:00 – 03:30)
• Backup systems, failover strategies, and audit trails
Day 5: Implementation Roadmap and Strategic Planning
Module 17: Developing a Business Case for IoT Projects (07:30 – 09:30)
• ROI analysis, budgeting, and value mapping
Module 18: IoT Project Planning and Change Management (09:45 – 11:15)
• Phased deployment, training, and stakeholder buy-in
Module 19: Workshop – Drafting an IoT Integration Roadmap (11:30 – 01:00)
• Creating a deployment plan for a sample plant
Module 20: Wrap-Up and Certification (02:00 – 03:30)
• Review, feedback, and strategic next steps
Certification
Participants will receive a Certificate of Completion in The Internet of Things (IoT) in Chemical Processing & Chemical Manufacturing, validating their ability to plan, implement, and manage IoT initiatives that enhance operational excellence and safety in chemical facilities.