DiGlobal Introduces an AI feature that Can Predict the Future Degradation of Civil Infrastructure
Dynamic Infrastructure (DiGlobal) announces that it has developed an AI solution to predict the future deterioration of concrete and steel structures.
Photo: Freepik
The Dynamic Infrastructure solution can predict when a crack will become critical and how much time is left, enabling immediate action for preventive maintenance and budget planning.
The solution provides insights into the future, enables advanced simulations and allows civil engineers to test "what if" scenarios, refine maintenance plans and optimise outcomes, effectively reducing risks 2, 5 and 10 years ahead.
For decades, predicting the future condition and severity of certain infrastructure failures has been considered one of the most challenging tasks in the industry.
Dynamic Infrastructure leverages an extensive, global, verified failure history, collected over years of analysis, which includes millions of failures across thousands of assets. These real-life failure histories form the cornerstone of DiGlobal's empirical approach to modeling and predicting failure propagation.
In predicting the future state of failure, the technology takes into account a wide range of characteristics, from individual element properties such as material and dimensions, to broader asset-level characteristics such as environmental conditions like weather and structural loading.
By integrating these factors into its data-driven AI models, Dynamic Infrastructure provides accurate predictions of failure trends, enabling infrastructure stakeholders to prioritise immediate actions and build sustainable long-term strategies.
We are excited about this groundbreaking technology that will redefine infrastructure management on a global scale," said Saar Dickman, CEO of Dynamic Infrastructure.
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