Digital Transformation and BIM in Construction Management

Posted in Engineering - Oil & Gas

Digital Transformation and BIM in Construction Management

📅 Duration: 5 Days
👷 Target Audience: Senior Engineers, Project Managers, and Digital Transformation Specialists in Public Construction
🎯 Skill Level: Advanced

📌 Course Objectives:

By the end of this course, participants will be able to:
✔ Understand the impact of digital transformation on construction management.
✔ Utilize Building Information Modeling (BIM) at various project stages.
✔ Implement AI, IoT, and big data analytics in construction projects.
✔ Enhance project efficiency through automation and digital collaboration tools.
✔ Apply Common Data Environments (CDEs) for integrated project management.
✔ Leverage cloud-based construction management platforms for real-time decision-making.
✔ Ensure data security and digital compliance in public infrastructure projects.

📌 Course Outline:

🟢 Day 1: Introduction to Digital Transformation in Construction

🔹 Overview of Industry 4.0 and its impact on public infrastructure.
🔹 Role of AI, machine learning, and big data in modern construction.
🔹 Digital project lifecycle: From design to maintenance.
🔹 Government policies and digital transformation roadmaps.
🔹 Case Study: Successful digital transformation in a large-scale public project.

🟢 Day 2: Fundamentals and Advanced Applications of BIM

🔹 BIM levels and maturity models (BIM Level 0 to 4D/5D/6D/7D BIM).
🔹 BIM software: Autodesk Revit, Navisworks, Tekla Structures.
🔹 Clash detection and error reduction using BIM coordination tools.
🔹 Digital twin technology for predictive maintenance and facility management.
🔹 Case Study: Implementing BIM in a large-scale infrastructure project.

🟢 Day 3: Automation, AI, and IoT in Construction

🔹 Robotics and automation in construction project execution.
🔹 Real-time project monitoring using IoT sensors and smart wearables.
🔹 AI-driven predictive analytics for risk management.
🔹 Drone technology for site inspections and progress tracking.
🔹 Case Study: Using AI and IoT for real-time project monitoring.

🟢 Day 4: Cloud-Based Collaboration and Data Security in Construction

🔹 Common Data Environments (CDEs) and cloud-based platforms.
🔹 Digital document management for seamless collaboration.
🔹 Cybersecurity challenges and solutions in construction IT infrastructure.
🔹 Implementing ISO 19650 for digital information management in projects.
🔹 Case Study: Mitigating cybersecurity risks in a public construction project.

🟢 Day 5: Case Study & Real-World Application

🔹 Hands-on case study: Developing a digital transformation roadmap for a public infrastructure project.
🔹 Group discussion: Challenges and best practices in BIM and digital adoption.
🔹 Presentation of digital solutions for project efficiency and sustainability.
🔹 Course assessment and feedback session.

🛠 Tools & Software Used:

✅ Autodesk Revit / Navisworks / Tekla Structures – For BIM modeling and coordination.
✅ Power BI / Tableau – For data-driven project analytics.
✅ IoT Sensors & Drones – For real-time monitoring and automation.
✅ Procore / PlanGrid / BIM 360 – For cloud-based collaboration.
✅ AI & Predictive Analytics (Machine Learning Tools) – For risk assessment and decision-making.