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CEA Software
Civil Engineering Assistant
The CEA (Civil Engineering Assistant, “CEA”) is a state-of-the-art Software-as-a-service toolbox owned by KCE, designed to enhance and manage the whole life cycle of Civil Engineering Structures.
The CEA is especially developed to assist infrastructure owners, operators and civil engineering companies to scientifically manage their aging structures, extend the service life of the assets, and optimize the use of capital.
It is also meant as a tool to simplify the work of Risk and Compliance Managers in different organizations (from Internal Audit and Compliance Departments to Insurance, Banks and Regulating Authorities) to verify the levels of risk and compliance associated with an asset portfolio.
How it works
The CEA is an A.I.-powered, cloud-based software that stores, organizes and analyses structured and unstructured data (including, but not limited to, texts, images, drawings, inspection reports and other structural data, sensor generated data, environmental, weather and traffic data, etc.), resident in any accessible file, to provide the digitalization of the existing data, assemble them inside one single environment, recognize the root cause of the anomalies visible on the structures and forecast their evolution over time.
The goal of the CEA is to support the Responsible Engineers to remotely assess the conditions of the asset and the actions recommended to optimize its service life, as well as Operations and Maintenance Departments in budgeting, planning and optimizing Maintenance, and Compliance and Risk Departments in implementing their duties.
Civil Engineering Experts need to be supported by Digital Technologies (A.I., Computer Vision, Cloud)
The multi year R&D effort has created the ability of A.I. for digital defect recognition and diagnoses of root causes.
Asset operators can now improve their life cycle management of assets and optimize capital expenditure and better minimize risk.
Engineering companies can now leverage the mountains of data available from images, sensors, documentation and public sources to improve their services in structural health monitoring and management.
