Development of the iCOMPLEX software for the control and assessment of the safety of critical infrastructures
Description
Globally, there exists a vast array of critical and/or potentially high-risk infrastructure. Depending on their type, many of these critical infrastructures are equipped with a significant number of monitoring instruments that allow managers to assess infrastructure safety by controlling numerous variables. As the infrastructure becomes operational, the data records for the monitored variables grow rapidly, accumulating thousands of values that contain potentially useful information about the system's behavior. However, the procedures for analyzing and interpreting the thousands of data points generated by these infrastructures are often underpowered, not adapted to the computing capacity of current computers, and fail to leverage a large number of relationships between variables. Leveraging this growth in computing power, a set of novel techniques (data mining, Bayesian networks, neural networks, complex systems theory) have been developed, capable of extracting much more useful information, uncovering previously unknown phenomena and relationships, detecting anomalous behavior, and enabling predictions based on known behavior. These techniques have been successfully applied to other fields of science. The main mission of this project is the development of the "iCOMPLEX" software package, which implements the process of acquiring, processing, and analyzing data recorded by the sensor arrays controlling critical infrastructure, as well as presenting the results in a comprehensive, in-depth, and complete manner, distinguished by the incorporation of powerful analytical procedures. "iCOMPLEX" will be the foundation of a line of marketable software products for security control and assessment, tailored to each type of critical infrastructure. The main innovation of this project lies in making all these techniques available for the management and security of critical infrastructures, since to this day this has not yet been done in the vast majority of facilities, with only precedents of applying these novel techniques separately and in many cases only at the research level.
Organisations
- International Centre for Numerical Methods in Engineering (CIMNE) - Partner
- Universidad Politécnica de Madrid - Partner
Funding
- National funding
Specific Funding Sources:
Ministerio de Economía y Competitividad
Level of Action:
National: SPAIN
Applications
Large-hydro, Storage Hydropower
Keywords
Civil / Structural engineering, Dams, Digitalization, Maintenance, Modeling / Simulation
Areas of Research
Research and Innovation Agenda
- Development of digital software platforms and methodologies for analysing dam monitoring data to improve infrastructure safety, operational decision-making and predictive maintenance.
Strategic Industry Roadmap
Last Updated: 30/07/2026 15:57
