IESEI

Research project on the construction, through innovative construction techniques, of seismic-resistant, energy-efficient and intelligent buildings in their life cycle Within the INNTERCONECTA programme, we are leading the development of an integral building system with seismic-resistant capacity, highly industrialised thanks to prefabricated concrete panels and, on the other hand, a package of ICT tools. Focusing on the design, construction and progress of smart buildings.

Simuvia

This innovation project consists of on-board simulation for track monitoring by observing the condition of railway vehicles. The overall objective is to develop a new auscultation system that can be installed on any rail vehicle after several modifications. The system reduces maintenance costs and provides more information by using virtual sensor technology to monitor variables that cannot be measured directly, such as wheel-rail contact forces.

SAFE-PEMP

Process innovation allows us to design and develop a system to improve safety conditions in MEWP work. SAFE-PEMP focuses on developing a product that improves the safety conditions of Mobile Elevating Work Platforms (MEWPs) used in construction and industry. The innovation resulting from the project was patented as a “utility model”.

Recycled Aggregates

At Sando, we are committed to sustainable development. This innovative construction project, therefore, uses materials from construction waste in road pavements. Through this line of research, it has been possible to verify that recycled material from the construction industry meets the technical requirements for use in the lower layers of road pavements.

UAV-Grass

This prevention project develops a new process for managing green spaces through sensors onboard Unmanned Aerial Vehicles (UAVs). The main objective of this project is to create and implement a methodology for identifying and solving specific problems in green spaces through thermal imaging cameras, multispectral sensors and software on board UAV systems or drones.

Rebecca

This research has allowed us to develop a system of rules and biocomputational algorithms for controlling and monitoring construction projects. The REBECCA project aims to create an intelligent system for the automatic application of the BIM methodology in construction, to meet the sector’s requirements and to have tools that improve its operations and provide added and differential value. RECONLOD Project

Reconlod

Thanks to this process innovation, we can reclaim soils degraded by construction activities using sludge from sewage treatment plants and the use of cyanobacteria. The project aims to provide a new sustainable strategy to restore spaces degraded by developing construction-related activities in arid areas. To this end, the research combines the inoculation of cyanobacteria into the soil and the introduction of indigenous plants with amendments with sludge from WWTP.

SERVECO

Serveco is aimed at the “Assessment and promotion of ecosystem services provided by urban trees” using remote sensing and sensors to measure green spaces’ economic, social and environmental benefits. This way, we can value the city’s ecosystem services provided by green spaces. Especially urban trees for adaptation and mitigation of global warming and the urban heat island.

Inspect-Roads

This project applies Artificial Intelligence (AI) to detect incidents on incidentspavement for road maintenance. It proposes an intelligent mechanism to locate the type, position, and severity of problems detected on roads and highways. This technology’s approach represents a leap in quality in incident inspection by configuring an automated system that identifies deficiencies based on previous knowledge and training.

Place: Málaga, Huelva, Jaén
Execution period: 1-Oct-2022 – 31-Jul-2024.
Budget: €387,786.00.
Co-financing CDTI (€116,723.59) and ERDF (€50,024.39).

EUROPEAN REGIONAL DEVELOPMENT FUND: A WAY OF MAKING EUROPE

Civilsar

Sando has developed a system for monitoring civil engineering infrastructures using SAR satellite images. The CIVILSAR project is based on Advanced Differential Interferometric SAR (A-DInSAR), PSI or MT-DInSAR, which consists of studying the differences between two satellite images. This technology makes it possible to analyse ground deformations with great precision, covering large areas without needing prior knowledge of the area to be monitored.

Financing: The project has received financial support from the Innovation and Development Agency of Andalusia (Agencia IDEA) and the Andalusian Technological Corporation (CTA).

An incentive of 164,349.68 €, 80% co-financed by the European Union through the European Regional Development Fund (ERDF), was received from the Agency for Innovation and Development of Andalusia IDEA, of the Andalusian Regional Government, for the project “Implementation of a civil infrastructure monitoring system using satellite radar interferometry” with the aim of “Promoting technological development, innovation and quality research”. It also has private funding from the Andalusian Technological Corporation (CTA), File No. CTA: 20/1038.

Predictedar

The general technical objective of the project is the design and development of an intelligent predictive maintenance system for the critical components of urban wastewater treatment plants based on artificial intelligence tools. It will promote the circular economy and the sustainable use of resources, increasing the recovery of sludge as agricultural fertilisers by optimising the reliability and availability of the associated subsystem and promoting a reduction in energy consumption that will improve the self-sufficiency ratios of a WWTP.

Place of production: Seville.
Execution period: 1-Jan-2023 – 31-Oct-2024.
Budget: €254,860.00.
Co-financing CDTI (€51,584.94) and ERDF (€22,107.83)

EUROPEAN REGIONAL DEVELOPMENT FUND: A WAY OF MAKING EUROPE