Smart City Digital Twins: Integrating BIM with IoT Data for Real-Time Monitoring
Shaping Smarter Cities: Bridging BIM and IoT for Real-Time Urban Innovation
About This Course
Explore the integration of BIM and IoT to create Smart City Digital Twins for real-time monitoring. Learn how to combine building information models with IoT data streams to enhance urban infrastructure management. Gain hands-on experience in data integration, predictive analytics, and dashboard creation. Perfect for students, researchers, academicians, and industry professionals aiming to leverage cutting-edge smart city technologies.
Aim
The aim of this workshop is to empower participants with the knowledge and practical skills to integrate BIM with IoT data, creating Digital Twins for real-time monitoring and optimization of smart city infrastructure.
Workshop Objectives
- Understand the concept of Smart Cities and the role of Digital Twins in urban management.
- Learn the fundamentals of BIM and its integration with IoT data for creating intelligent urban systems.
- Gain practical experience in building and mapping BIM models, integrating real-time IoT sensor data, and visualizing this data on interactive dashboards.
- Explore AI-based predictive analytics for infrastructure monitoring and optimization within Digital Twin ecosystems.
- Develop hands-on projects that demonstrate the integration of BIM, IoT, and data analytics to build a smart, real-time monitoring solution for urban environments.
Workshop Structure
Day 1 – Introduction to Smart Cities and Digital Twins
- Introduction to Smart Cities: Challenges & Technologies
- Digital Twins Overview: From Static BIM Models to Intelligent Cities
- Role of BIM in Smart Infrastructure
- Understanding IoT and Sensors: Core to Digital Twin Data Flow
Hands-on:
- BIM Model Creation: Simple building model using Revit/IFC for data integration
- Mapping Sensor Locations: Add IoT sensor points and define data types (temp, occupancy)
Day 2 – Connecting IoT with BIM for Real-Time Data Integration
- IoT Architecture in Smart Cities
- Data Streaming from IoT to BIM Models
- Real-Time Data Processing & Visualization
- Data Management and Interoperability: APIs, MQTT, and Cloud
Hands-on:
- IoT Data Simulation: Generating sensor data (Python) and streaming it
- Live Dashboard Creation: Visualize real-time data (Grafana/Power BI) and link it to BIM models
Day 3 – AI, Analytics, and Predictive Monitoring with Digital Twins
- AI & Machine Learning in Digital Twins: Predictive Maintenance & Energy Efficiency
- Real-World Case Studies: Smart Cities Using Digital Twins (Singapore, Helsinki)
- Scaling Digital Twins: From Building to City-Level Monitoring
Hands-on:
- Predictive Model: Build a simple anomaly detection model using real-time data
- Mini Digital Twin Prototype: Complete integration of BIM + IoT + AI for monitoring and prediction
Who Should Enrol?
- Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
- Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
- University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
- Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
- Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.
Important Dates
Registration Ends
03/05/2026
IST 4 : 30 PM
Workshop Dates
03/05/2026 – 03/07/2026
IST 05:30
Workshop Outcomes
- Comprehensive Knowledge: Participants will gain a deep understanding of Smart City frameworks, Digital Twin concepts, and BIM-IoT integration for real-time infrastructure management.
- Hands-on Skills: Attendees will be able to create and manipulate BIM models, integrate IoT sensor data, and visualize real-time data in interactive dashboards.
- AI & Predictive Analytics: Participants will develop the ability to apply AI-based predictive models for predictive maintenance and energy optimization in smart cities.
- Practical Application: Attendees will have the skills to deploy Digital Twin solutions and implement smart city monitoring systems in both academic and industry settings.
Fee Structure
Student
₹2999 | $70
Ph.D. Scholar / Researcher
₹3999 | $80
Academician / Faculty
₹4999 | $90
Industry Professional
₹6999 | $110
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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