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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)

Screen thousands of infrastructures

Navigate the huge amount of images and documentation

Automatically identify the most critical conditions

Focus expert’s attention only on the critical images

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.

CEA ADVANTAGES

.1

Data and image acquisition
A.I. based software to structure assessment and escalate maintenance

.2

Data and image acquisition
Improved input and data collection, well beyond what could be possible by individual agents

.3

Data and image acquisition
Structured data input system covering exact location of damages area, limiting possibility of mistakes

.1

Data and image acquisition
Large dataset of information per structure (>5000/bridges images up to 0.1mm/pixel resolution)

.5

Data and image acquisition
Automated linking with external datasets for critical information, e.g., weather events, climate

.6

Data and image acquisition
A.I.-based diagnostic model to assess structure integrity with increased accuracy

.7

Data and image acquisition
Automated recognition of defects from images (e.g., acquired via drone inspections)

.8

Data and image acquisition
Root cause analysis identifying underling drivers of structure’s integrity deterioration

.9

Data and image acquisition
Digital 3D model, including BIM output for easy tracking & analysis by engineers

Based on
3 service modules

Digital Twin

Digital library of the structure, including design report and drawings, the BIM simplified model, past and present inspection reports, weather conditions in the last 60 years, 3D photogrammetric model and set of images of the structure with 3D positioning.

Digital Inspection

Defects identification and positioning within the 3D model through proprietary A.I. algorithm and collection of pictures used for the defects analysis and with the final defect report.

Digital Assessment

Structural assessment of each defect, with risk classification for engineering review, developed using the most known and agreed international standards and formulas about concrete ageing, damaging and danger/risk.

Digital Maintenance

Tracking of required inspection timeframe and ability to log performance of maintenance and automatic generation of the maintenance contract templates from the annotated BIM model.

Coming soon.

A four step process to ensure systematic, high quality inspections

A four-step process designed to elevate quality and efficiency. From initial data capture to expert engineering review, each phase seamlessly integrates cutting-edge technologies.

.1

Data and image acquisition
- Drone images and metadata need to be high quality and reach many hidden areas
- Certain defects cannot be recognized by pure images, others are in hidden position

.2

3D model & BIM reconstruction
- Train a model to identify defects, place them into the 3D model (introducing 2D defects in 3D structures without distortion is not obvious)
- Extract from the different repositories all other available data (weather, old reports, original drawings, etc.)

.3

A.I.-driven defect detection
- Train Ai model to integrate and compare images and defects with all other data and classify each defect
- Annotated images of rare critical defects are not always available in the desired quantity and quality and careful review is required

.4

Civil engineering review
- Final engineering review is required to ensure accuracy and liability check. Image analytics is only one element for judgement

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