Construction Sites with Digital Twins 🏗️

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How the ConLogTwin framework is reshaping construction logistics through a modular, data-driven Digital Twin approach.

Published November 14, 2025 By EngiSphere Research Editors
Digital Twins in Constriction Sites © AI Illustration
Digital Twins in Constriction Sites © AI Illustration

TL;DR

A recent study presents ConLogTwin, a modular Digital Twin framework that integrates BIM, IoT, and logistics data to create a real-time, data-driven mirror of construction sites—optimizing material flow, reducing waste, and paving the way for smarter, automated construction logistics.

Breaking it Down

🧱 The Problem: Construction Still Runs on Paper

Despite all the talk about Industry 4.0, the construction sector is one of the least digitalized industries. Workers still juggle paper delivery notes, phone calls, and spreadsheets to manage thousands of materials and deliveries. 😩
Inefficiencies pile up: trucks arrive out of order, materials get misplaced, and workers waste up to one-third of their time just searching for stuff on-site!

The researchers from TU Darmstadt decided to tackle this. Their 2025 study introduces ConLogTwin, a Digital Twin (DT) framework that promises to turn chaotic logistics into a well-orchestrated, data-driven symphony. 🎶

🧠 First, What’s a Digital Twin?

Think of a Digital Twin as a real-time virtual clone of a physical system. It mirrors the real world using data from sensors, schedules, and models. Every machine, delivery truck, or pallet can have a “twin” that shows what’s happening right now—helping predict issues before they occur.

In factories and aerospace, DTs already optimize performance. But in construction, they’re often mistaken for just 3D BIM models. The ConLogTwin takes things further—it combines Building Information Modelling (BIM), Internet of Things (IoT) data, and logistics planning into one living, breathing digital ecosystem.

🚚 Why Construction Logistics Needs a Digital Twin

Construction logistics is about getting the right materials to the right place, at the right time, and cost—what engineers call the 6R rule. Simple in theory, but incredibly messy in practice.

Each project has a unique network of suppliers, transporters, and subcontractors. Information is fragmented across emails, delivery systems, and siloed databases.

Add to that:

  • Temporary sites and storage constraints 🏗️
  • Constant design changes 📐
  • New sustainability reporting requirements (like CO₂ tracking) 🌱

The result? Chaos, delays, and high costs. Traditional tools like Delivery Management Systems (DMS) or Common Data Environments (CDE) help a bit, but they don’t talk to each other. They can’t think dynamically like a true digital twin.

🧩 Enter ConLogTwin: A Modular, Logistics-Centric Digital Twin

The heart of this research is the ConLogTwin, a modular framework that connects planning data with real-time field data.

It’s not just another software—it’s a blueprint for how digital twins should be built for construction logistics.

Here’s how it works 👇

🏗️ 1. The Physical World

Sensors, IoT devices, GPS trackers, and RFID chips collect data from trucks, cranes, pallets, and even noise sensors. These devices send constant updates about location, load, and environmental conditions.

💻 2. The Digital World

All that data flows into the ConLogTwin Core, a cloud-based data hub that integrates BIM models, sensor readings, and delivery schedules.

It’s divided into three main databases:

  • ConLog DB: stores structured logistics data (projects, buildings, deliveries).
  • Sensor DB: holds time-series IoT data (temperature, motion, position).
  • Media DB: manages photos, videos, and IFC files for 3D visualization.

Each element—like a wall panel or beam—is linked via a unique BIM identifier, ensuring full traceability from the factory to its final position on-site. 🏷️

⚙️ 3. The Service Layer

This is where the “smart” part happens! The system hosts digital services that analyze and automate logistics tasks, such as:

  • Automated delivery planning 📅 – generates just-in-time schedules based on BIM data.
  • Sensor analytics 📡 – monitors deliveries via geofencing and image recognition.
  • IFC decomposition 🧩 – breaks large BIM models into usable logistics components.
📊 4. The Dashboard

The results appear in a clean, web-based dashboard—think of it as the site manager’s control tower.
It shows real-time delivery status, material stock levels, weather conditions, and upcoming schedules. Users can drill down to see which items are delayed or where specific materials are stored.

A future version even includes Augmented Reality (AR) navigation on smartphones to guide workers to the right pallet inside a building! 📱✨

🧰 Under the Hood: How It’s Built

The framework uses open-source, industry-proven tools instead of expensive proprietary systems.
Here’s the tech stack:

  • MongoDB for flexible, scalable data storage
  • MinIO for handling files and 3D models
  • FastAPI for quick web API development
  • Docker containers for modular deployment
  • MQTT protocol for IoT communication

This design allows each module (like delivery planning or data visualization) to run independently—making it easy to add or replace parts. In essence, it’s like Lego for digital twins. 🧱🧩

🧪 Putting ConLogTwin to the Test

The authors tested their prototype on a renovation project at their own TU Darmstadt building.

Challenges included:

  • Limited on-site storage
  • Multi-storey material movement
  • Active building operations during renovation

To tackle this, they used SmartPallets—IoT-equipped pallets tracked via LoRaWAN.
Each pallet’s position was updated in real-time in the ConLogTwin dashboard. Site managers could instantly see which materials had arrived, where they were stored, and whether deliveries were delayed.

They also tested:

  • Automated scheduling to match planned vs. actual deliveries
  • AR navigation to help workers find materials faster

Even though this was a small-scale demo, the system worked seamlessly—proving the framework’s technical feasibility. ✅

💡 Key Findings

The research highlights several breakthroughs and lessons:

  1. Integration Beats Fragmentation
    ConLogTwin successfully unites BIM, IoT, and logistics data. No more jumping between software tools!
  2. Modularity Enables Flexibility
    Each service (e.g., geofencing, AR, planning) can be independently developed, updated, or replaced—just like apps in an ecosystem.
  3. Real-Time Visibility Boosts Efficiency
    With automated updates from sensors, managers can instantly detect delays or bottlenecks and take action before they snowball. ⚡
  4. Data Traceability Ensures Accountability
    Every component is tracked from supplier to installation. That’s a big plus for compliance and sustainability reporting. 🌍
  5. Open Architecture Lowers Barriers
    Using open-source tools like MongoDB and Docker makes it easier for companies to adopt without massive IT investments.
⚠️ Limitations and Challenges

Of course, no prototype is perfect. The authors are transparent about the current gaps:

  • The system hasn’t yet been tested in full-scale construction projects.
  • Data governance and ownership issues remain—who controls what data?
  • Integration with legacy tools (like old DMS or ERP systems) will require extra work.
  • Operating containerized services could increase costs for smaller firms.

Still, the researchers propose solutions such as role-based access control, cloud hosting, and industry-wide collaboration to mitigate these issues.

🔭 What’s Next? The Future of Construction Twins

The team plans to validate ConLogTwin on a real construction site in partnership with a major contractor. The next steps include:

  1. Empirical Testing – Deploying ConLogTwin in live conditions to measure performance, cost savings, and time reduction.
  2. AI Integration 🤖 – Adding predictive analytics to forecast delays, optimize routes, and detect anomalies automatically.
  3. Sustainability Insights 🌱 – Using data to monitor CO₂ emissions and circular material use.
  4. Interoperability with Global Standards – Aligning with Asset Administration Shell (AAS) and Information Container for linked Document Delivery (ICDD) for global data compatibility.
  5. Cognitive Digital Twins 🧠 – Evolving toward self-learning systems that can make autonomous logistics decisions.

Imagine a future site where materials “know” where they need to go, trucks are automatically rerouted based on real-time conditions, and every stakeholder—from supplier to city regulator—views the same live data. That’s the vision ConLogTwin sets in motion. 🚀

🏁 Wrapping Up

The ConLogTwin framework marks a major step forward in digitalizing construction logistics. By merging BIM, IoT, and service-based computing, it creates a dynamic mirror of the construction site—capable of monitoring, simulating, and optimizing processes in real time.

The result?
Fewer delays ⏰, fewer wasted materials 💸, and smarter coordination across the entire construction supply chain.

As one might put it—ConLogTwin turns the messy, manual world of construction logistics into a connected, data-driven ecosystem where every beam, pallet, and truck has its digital voice. 🗣️


Terms to Know

🏗️ Digital Twin (DT) - A virtual replica of a real-world object, system, or process that constantly updates with live data. Think of it as a digital mirror that helps engineers monitor, predict, and improve what’s happening in the physical world. - More about this concept in the article "Digital Twin Boosts Vertical Farming 🌱".

🧱 Building Information Modelling (BIM) - A 3D digital model of a building that contains not only geometry but also data—like materials, schedules, and costs. It’s the backbone of modern construction planning and visualization. - More about this concept in the article "🏗️ Building a Greener Future: Exploring the Driving Forces Behind China's Low-Carbon Construction Revolution".

🚚 Construction Logistics - All the behind-the-scenes planning and coordination that make sure the right materials reach the right place at the right time—from suppliers to the construction site.

🔗 Construction Supply Chain (CSC) - The network of companies and processes involved in delivering everything needed for a construction project—like materials, equipment, and labor. It’s like the “bloodstream” of a construction site. - More about this concept in the article "Building Smarter, Greener 🧱 Optimizing Modular Construction Supply Chains with AI & Multi-Agent Systems".

🛰️ Internet of Things (IoT) - A system of smart sensors and devices connected to the internet that collect and share real-time data—such as temperature, location, or movement—without human input. - More about this concept in the article "A New Era of Efficient Water Distribution 💧 Smart Water Systems".

📦 Logistics Service Provider (LSP) - A specialized company that handles the transport, delivery, and on-site organization of materials and equipment for construction projects.

🗂️ Common Data Environment (CDE) - A shared digital workspace where all project data (drawings, schedules, models) are stored and accessed by everyone involved—engineers, contractors, and suppliers alike.

⚙️ Application Programming Interface (API) - A digital connector that allows different software systems to “talk” to each other and exchange information automatically. - More about this concept in the article "🤖 AI Agents in 6G: The Future of Smart Wireless Networks".

🧮 MongoDB - A flexible database system used to store complex and varied types of project data, such as sensor readings, BIM components, and delivery records—all in real time.

📡 Message Queuing Telemetry Transport (MQTT) - A lightweight communication protocol for sending data between IoT devices and databases efficiently—perfect for real-time construction monitoring.

🗺️ Geofencing - A virtual boundary created using GPS—when a delivery truck enters or leaves that zone, the system automatically sends alerts or updates.

🧩 IFC (Industry Foundation Classes) - An open data format that allows BIM models to be shared across different software platforms—essential for collaboration in digital construction.

📊 Dashboard - A visual control panel that displays live project data—like deliveries, stock levels, or site progress—through charts, maps, and status indicators.

🧠 Design Science Research Methodology (DSRM) - A structured approach for developing and testing practical digital systems (like ConLogTwin) that solve real-world engineering problems.

🌐 Containerization (Docker) - A tech method for packaging software and its dependencies so it can run reliably anywhere—used to make each ConLogTwin module modular and portable.


Source: Gehring, M.; Brötzmann, J.; Rüppel, U. A Modular, Logistics-Centric Digital Twin Framework for Construction: From Concept to Prototype. CivilEng 2025, 6, 59. https://doi.org/10.3390/civileng6040059

From: Technical University of Darmstadt.

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