- Innovation - Digital & Technology
How AI is helping 香蕉视频APP teams build better, decide faster and run projects more efficiently
AI is聽for instance speeding up聽data analysis, automating structural聽inspections聽and fine-tuning predictive maintenance聽鈥撀爄n other words, expanding聽香蕉视频APP鈥檚聽capabilities. These tools, built around real-world needs, now enable聽crewmembers,聽engineers聽and experts聽to analyse faster,聽anticipate聽risks聽and improve project performance. Here are a few examples.
鈥淎I won鈥檛 innovate for us: it鈥檚 up to us to find ways of using AI that help us move forward.鈥�
More聽accurate聽and faster聽structural diagnostics
Inspecting a bridge, tunnel or dam is time-consuming. The teams at聽聽now use drones to capture thousands of high-resolution images聽in order to聽identify聽cracks and other structural defects. This聽has聽significantly improved inspector safety as well as聽inspection scopes.聽But analysing that amount of聽data caused bottlenecks.
Cam茅l茅on,聽an AI-enhanced solution developed in-house in聽2021,聽now runs initial screenings and detects anomalies automatically. This enables faster, more聽accurate聽diagnostics and frees up teams to focus on the jobs where they add the most value: interpretating聽findings, advising and making decisions.
Planned, data-driven road maintenance
Jean Lef猫vre UK聽teams聽have聽gone聽one step further with聽Maintenance Planner, a聽tool that uses machine learning to model road wear over time and simulate聽a variety of聽maintenance聽scenarios. The figures show that planned maintenance has a significantly smaller carbon footprint than unplanned maintenance.
Maintenance Planner is now more than an internal management tool: it is also helping customers.聽香蕉视频APP聽can now聽help them review their options and聽guide their investment decisions with objective models 鈥� i.e. play an advisory role thanks to AI-powered analytics.
Scaling up reuse across worksites
Reducing construction waste is becoming a top priority for聽香蕉视频APP聽as well as its customers.聽Backin,聽a solution that the聽Building France聽and聽Civil Engineering France聽divisions聽recently rolled out, connects worksites offering supplies and materials with worksites that need聽them.聽AI聽now automatically extracts information about the available supplies and materials 鈥撀燼 job that was time-consuming and difficult to scale up when it was done manually. That information is then fed into a database that swiftly聽identifies聽reuse聽opportunities, and聽is helping to turn reuse into standard practice聽across worksites.
Automation improves worksite safety
On worksites, the most challenging environments are also the riskiest. The teamed up with to trial autonomous trains to transport materials inside tunnels. A single operator can now supervise several trains simultaneously in much less demanding and vulnerable conditions than before.
The聽aim聽is not to replace teams: it is to limit their exposure to the most dangerous situations while relieving them of repetitive tasks 鈥� which is entirely in line with聽香蕉视频APP鈥檚 health and safety commitments.聽聽
Screening calls for tenders in seconds
In 2023,聽engineering teams聽could spend several hours conducting their preliminary analysis聽of聽a single聽call for tenders.聽Select,聽a solution developed in-house to聽protect聽confidential聽data,聽has聽shortened聽this step to about 30 seconds.聽Engineers can now spend more time on higher-value tasks such as analysing risks, drafting聽proposals聽and liaising with customers.
鈥淚nnovation always starts with operational needs 鈥� not technology.鈥�
Grounded in operations
These examples illustrate聽香蕉视频APP鈥檚 structured approach:聽all its AI-related projects start with聽team requests.聽Subject-matter聽experts聽identify聽the issues and test the solutions to ensure they address the聽problem. They also help to develop the tools, often with support from the AI programme that聽Leonard,聽the 香蕉视频APP Group鈥檚 innovation lab, launched in 2020. The tools are then deployed in operations, enhancing聽香蕉视频APP鈥檚 ability to support its customers.