What the Paris 2024 Olympics Can Teach Us About Industry 4.0
Hosting the Olympics is not all sunshine and rainbows; Paris has had to face a whole slew of problems with the 2024 Olympics, the least of which was making spaces around the Eiffel Tower safer and more commutable for tourists.
There is more for Paris to gain from re-engineering the city than cosmetic improvements: newly renewed infrastructure will make for an anti-fragile city that is adaptable to floods and other calamities—events expected to increase in frequency due to climate change. Innovative technologies and solutions like BIM Modeling, Digital Twins, and Prototype Development have been used to drive this change.
Such solutions are also the driving forces behind Industry 4.0 and the digitization of plants and factories. Let us examine the three innovations mentioned above, and see how the technologies used for and during the Olympics empower the industrial sector in streamlining its processes.
Digital Twins Enable Efficient Planning
Digital twins are connected, safe, and technologically enabled digital replicas of real-world structures—buildings, stadiums, or even entire cities. These replicas simulate coordinated operations and usefulness in real time to obtain insights into performance and profitability prior to construction. They are developed using novel technologies like VDC modeling and BIM modeling.
Digital-twin models also opened doors to efficient planning in the 2024 Olympic Games in Paris. For example, real-time monitoring of Paris 2024’s energy usage is gathered and utilized to guide smart-city modeling: the digital twins of locations communicate where power is needed, where cameras should be placed, and where accessibility problems frequently occur—all without constant site visits.
Spatial-mapping solutions like digital twins are also empowering the digital transformation of plants. They promise rich models connecting the physical and digital worlds of plants and processes, creating quantifiable measurements of uncertainty. These interactive metrics can be studied using sophisticated algorithms for offline analyses and real-time predictive feedback, enabling significant design and process improvements that were not possible before the emergence of Industry 4.0 systems and methodologies.
BIM Supports Detailed Simulations and Collaboration
Building Information Modeling (BIM) was used to model the Eiffel Tower and the surrounding area to simulate the structural integrity of buildings, underground facilities, and the movement of people. These simulations employed computational fluid dynamics (CFD) analysis to account for the movement of aerosols and toxic materials, thereby supporting the development of a safe and easily maneuverable tourist ecosystem.
Because the renovation project was huge in scale, extensive collaboration and coordination across functions and geographies was required. Deploying BIM proved ideal: it provides a Common Data Environment (CDE) to maintain complex schedules and budgets. Additionally, these visualizations were used to receive feedback from Parisians, ensuring complete transparency throughout the project’s development.
Plant-digitization techniques leverage similar 2D and 3D modeling systems—such as laser-based scanning (LiDAR)—to capture information relevant to the factory life cycle with millimeter accuracy. This helps factories and plants derive real-time insights via analytical tools like artificial intelligence and machine learning, enabling optimization of workflows, increased production efficiency, and reduced operating expenses.
Prototyping for Resilient Systems and Processes
Events like the Olympics offer myriad ways to innovate existing systems. One method for sustained innovation is prototyping. In the case of the 2024 Olympics, the team prototyped drones that provide real-time visualizations of areas using radar and radio frequencies to aid in scouting for potential risks and blockers to the seamless functioning of events.
Industry 4.0 methodologies support similar prototyping—with sustained design efficiency to boot. For example, parametric modeling can be used to shape multiple geometric models by simply modifying values of certain parameters, resulting in flexible 3D models that help stakeholders visualize factory prototypes better. This leads to quick project turnarounds and the development of systems that are optimized and clash-resilient.
Conclusion
The outcomes of BIM and digital twins are more extensive than one might presume. They will not only repair the gardens and roads around the Eiffel Tower but also affect traffic flows, the structural integrity of nearby buildings, and more—all to ease commutability blockers around the region and make the area resilient to natural disasters like floods.
Similarly, the applicability of these innovations in Industry 4.0 is vast and the results profound. They support industries such as oil & gas, defense, and pharmaceuticals to optimize functions and develop systems that handle conflicts effectively, are environmentally sustainable, and are designed to integrate seamlessly with other emerging technologies.
BIM Services
Architectural
Structural
MEP
Facade
Industrial





