R+D Lines

R&D Strengths

R&D plays an important role in our innovation process.

Consistent innovation results in high quality solutions, successful businesses, better goods and services.

R&D and other related investment at the right levels has placed us in a better position to achieve and maintain competitiveness.

The Projects

Safety at Work Projects

HUMAIN

RESEARCH OF NEW FLEXIBLE SOLUTIONS BASED ON AI AND IOT PATTERNS FOR A SAFER, EFFICIENT AND SUSTAINABLE PRODUCTION 5.0.

Industrial research and creation of synergies in two use cases of complex production processes:

- Vertical enabling technologies such as the additive manufacturing of metal parts and their post-processing on the one hand, and on the other, new processes based on Man-Robot collaborative robotics such as the robotization of packaging in warehouses.

- Promote these technologies through the use of Artificial Intelligence, IoT (Industrial Internet of Things) and artificial vision, all of which lead to digitized manufacturing processes with a lower level of waste, more versatile and with higher quality.

Type of project: From the CDTI MISIONES PYME Program

S&C Role: Developer and Research Partners

Collaborators

Metcontrol+

NEW GENERATION METHANE LEAK DETECTION BASED ON MONOLITHIC IOT-NDIR SENSORS AND AI TECHNOLOGIES

The objective of MetControl+ is to create a low-cost, modular solution for the detection of methane gas leaks in industrial environments. It will combine the NDIR monolithic photoacoustic gas detection technology of partner TUD (University of Dortmund) and the know-how of partner UNION Instruments, in large-scale wireless sensor networks to develop innovative methane sensors, which will be integrated into the IoT platform developed by S&C.

Type of project: From the CDTI and Eureka Eurostars Program

S&C Role: Developer and Research Partners

Collaborators

SiBiPaC

Project Type: Subproject Avanza Competitividad I + D + I. National Plan of Investigation Científica, Desarrollo and Innovación Tecnológica (2008-2011). Acción Estratégica de Telecomunicaciones and Sociedad de la Información
File Number: TSI-020100-2011-217
Project name: Biomonitoring system for accident prevention SiBiPaC

BILASER

ENERGY, WATER & RESOURCE MANAGEMENT PROJECTS

AGORA

Advanced manaGement and cOntRol for buildings smArtness: Towards a more sustainable energy and water management platform

R&D project with which we want to bring to the market an intelligent holistic solution capable of promoting a more sustainable consumption of energy and water from the producer to the final consumer with solutions for the control and management of electrical networks and installations, creating a new intelligent platform of building control than and studying its implementation in well-equipped pilot buildings.

Project type: MICINN/2021 Public-Private Collaboration Program.

S&C Role: Developer and Research Partners

Collaborators

NetBuild

Smartness Improvement in a Network of Buildings

NetBuild contributes directly to SDG 3 (air quality), SDG 6 (water management), SDG 7 (local integration of renewable energies), SDG 8 (new models buildings), SDG 9 (office buildings) and SDG 11 (smart buildings and cities) The scientific and technological objectives of the proposal are: (i) To develop a model for assessing the quality of indoor air (ii) Build a smart water management solution that combines IoT, AI and Big Data to reduce water loss (iii) Design a flexible lighting control that combines data daylight and occupancy sensors (iv) Develop an integrated electric vehicle charging policy that combines various charging modes and collects and uses building information (v) Develop DER flexibility forecasting services , including HVAC, lighting, EV, EES and RES (vi) Develop a real-time EMS that di stributes controllable resources and increases the energy flexibility of buildings. (vii) Develop aggregation strategies at neighborhood and network level. (viii) Develop a blockchain-based marketplace that controls smart energy trading between buildings. (ix) Develop an intelligent performance evaluation method that informs users according to the SRIs. (x) Enable the coordination and integration of IoT platforms into an intelligent built environment. (xi) Create a prototype office building to test the models and technologies developed in NetBuild.

Type of project: Public-private collaboration program MICINN/2021.

Project CPP2021-008975, NetBuild funded by MCIN/AEI /10.13039/501100011033 and by the European Union NextGenerationEU/ PRTR

S&C Role: Developer and Research Partners

Collaborators

SMARTLUX

Artificial Intelligence-driven SMART Windows for Dynamic Control of Solar Radiation fLUX

The SMARTLUX project aims to develop a new smart window technology for trains capable of self-adapting to changing environmental conditions inside and outside the wagon, as well as minimizing energy consumption. The proposed smart glass technology is based on the use of new electrochromic materials, in particular a new class of transparent conductive oxide nanocrystals called "plasmochromics", which are able to tune selectively, and above all independently, the transmission of light. solar radiation in the visible and infrared range. Through a network of sensors connected to an electronic system that allows both the thermal and light flux to be regulated, these windows will be able to receive and transmit data to the convoy and guarantee the maximum level of thermal and visual comfort for passengers in any external condition. Intelligent dynamic regulation will also minimize the energy used to heat in winter, cool in summer and light throughout the year. It is estimated that with the installation of these glazing systems it is possible to achieve a reduction of up to 35% in energy consumption compared to the most advanced solutions currently available on the market.

Project type: MICINN/2021 Proven Public Collaboration Program.

Project CPP2021-009046, Smartlux financed by MCIN/AEI /10.13039/501100011033 and by the European Union NextGenerationEU/ PRTR

S&C Role: Developer and Research Partners

Collaborators

BUILDMA

BUILDings intelligent MAnagement system based on edge computing and explainable AI

BUILDMAwill design an intelligent building management system based on edge computing and it will be validated by carrying out two pilot tests in a real environment. It is based on a secure and scalable 3-tier Edge Computing architecture supported by virtual organizations that will orchestrate distributed XAI algorithms to obtain and analyze parameters related to occupants and environmental variables, integrating local generation and storage systems. Estimates and predictions from available data will be sent as recommendations to users following a social computing approach, which will try to maximize indoor comfort (thermal comfort, visual comfort, and indoor air quality), and the system will flexibly adapt to occupancy patterns, following consumer preferences and considering the reputation of efficiency actions.

Project type: MICINN/2021 Public-Private Collaboration Program.

Project CPP2021-009051, BUILDMA financed by MCIN/AEI /10.13039/501100011033 and by the European Union NextGenerationEU/ PRTR

S&C Role: Developer and Research Partners

Collaborators

nSMARTWATER

TECHNOLOGIES FOR THE INTELLIGENT MANAGEMENT OF WATER CONSUMPTION IN DISTRIBUTION NETWORKS

Project type: Technological development based on artificial intelligence and other digital enabling technologies, within the framework of the strategic action of the digital economy and society of the state R+D+i program aimed at societal challenges and the state business leadership program in R+D+i C007/20-ED.

S&C Role: Project Requester & Coordinator, Middleware Development & Integration, Artificial Intelligence Algorithms Implementation, Dissemination and Exploitation

File Number: 2020/0720/00100284  

European Regional Development Fund "A way of making Europe"

SOLARADAPT

ACTIVE AND INTELLIGENT MANAGEMENT OF SOLAR PHOTOVOLTAIC ENERGY PRODUCTION AND LOCAL CONSUMPTION IN FLEXIBLE ELECTRICAL NETWORKS WITH DIGITAL TECHNOLOGIES

The general objective is the research and development of new management and distribution strategies that allow the integration of photovoltaic solar energy within the energy system. This will be consolidated through the implementation of smart networks and microgrids in the energy market. Complementarily, innovative technologies such as Big Data, Blockchain and Edge Computing will be used as an enabling solution for the entry of new actors and forms of energy consumption. This entire environment will be transparent, where agents have the necessary information to design competitive offers and services, and where customers can make their decisions.

Type of project: From the SME MISIONES Program of the CDTI

S&C Role: Research and Development Partners

Participants:

Subsidized by the CDTI and supported by the Ministry of Science and Innovation

OPENAI

OPTIMISATION OF ENERGY MARKET BY ARTIFICIAL INTELLIGENCE

OPENAI explored the effectiveness of novel artificial intelligence (AI) techniques for the development of decision-making approaches based on multivariate analysis methodologies and examined the applications of blockchain technologies in the energy field for the construction of decentralized energy marketplaces.

Project Type: H2020-INNOSUP-2018-2020

Granted with funds from the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 956730 the through EASME.

S&C Role: Coordinator & developer  

SPEAR

Smart Prognosis of Energy with Allocation of Resources

SPEAR is a pan-European research project, which proudly bears the ITEA label. The consortium consists of 18 partners from four European countries. As the name dictates, SPEAR aims to spawn ground-breaking research results and prototypes for energy optimisation in industrial production processes. The main objective is to build a flexible and generic optimisation platform in order to gain effective and profitable energy optimisation of highly complex production processes (for further information see https://spear-project.eu/)

Project Type: Energy efficiency in Industry

File Number: EXP - 00102225 / INNO-20171045

S&C Role: (1) Data acquisition: Integration of new devices into the existing IoT platform and adaptation of the cloud platform to meet the industrial requirements, (2) Creation of new energy consumption models, (3) Forecasting algorithms, (4) Integration with simulation and optimisation frameworks, and (5) Validation in a real industrial environment

Project Funded by: CDTI under program INNOGLOBAL

SMART HYDRO
Project Type: Call Challenges-Collaboration. State Plan for Scientific Research, Development and Innovation (2013-2016, BOE of October 2).

File Number: RTC-2014-2367-5

Project name: Intelligent system to optimize the use of water in agriculture (Smart-Hydro)

S&C Role: Middleware Development & Integration, Dissemination and Exploitation ProjectFunded by: Ministry of Economy and Competitiveness

PREMIA

CIANOALERT

The CIANOALERT project - INTELLIGENT ALERT AGAINST HARMFUL CyanOBACTERIA FLOWERS FOR THE WATER INDUSTRY.

File number: RTC-2016-5087-2

Proyect Finances by: The Ministry of Science, Innovation and Universities and co-financed by the European Regional Development Fund (ERDF) through the call RETOS-COLABORACIÓN 2016.

Role S&C: IoT/Cloud/Middleware Development.

ECOCASA

The ECOCASA project - Smart Spaces and Social Computing for Behavior Change in final consumer.

File number: RTC-2016-5250-6

Project Funded by: The Ministry of Science, Innovation and Universities and co-financed by the European Regional Development Fund (ERDF) through the call RETOS-COLABORACIÓN 2016.

For more information go to https://ecocasa.usal.es/es

Role: IoT & System Integration

CARE

Proyecto CARE: Development of an automatic control system for radon concentration in buildings.

The objective of this project is to give a comprehensive response to the needs of control of the radon concentration in buildings. The project will help reduce the incidence of lung cancer by guaranteeing indoor radon gas concentration levels below the performance values established by organizations such as the World Health Organization.

The project is part of the Challenges-Collaboration of the State Program for Research, Development and Innovation Oriented to the Challenges of the Society, within the framework of the State Plan for Scientific and Technical Research and Innovation 2013-2016.

File number: RTC-2016-5627-1

Role: IoT & System Integration

GENESIS

Project GENESIS: Integral management of energy demand through the smart home.

Role S&C: Coordination, deployment of the solution and data management pilot, Hosting, dissemination and exploitation.

Security Projects

SUPER

REWARD

Project Type: 7th Framework Programme
Project name: Real-time Wide-Area Radiation Surveillance System

TLA

Project Type: Eurostars
Project name: Trace Locate Anywhere

ENERGY PROJECTS

GreenCom
Project Type: 7th Framework Programme
Project name: myGrid; Energy Efficient and Interoperable Smart Energy Systems
for Local Communities
S&C Role: Platform Development & Integration, Dissemination and Exploitation

SCANERGY
Project Type: 7th Framework Programme
Project name: SCAlable & modular system for eNERGY trading between prosumers
S&C Role: Project Coordinator, Dissemination and Exploitation,
Platform Development & Integration

MEGaS
Project Type: Artemis
Project name: Smart Gas Meters & Middleware for Energy Efficient Embedded Services
S&C Role: Platform Development & Integratio

HEALTH & ELDERLY PROJECTS

ARMOR

Project Type: 7th Framework Programme
Project name: Advanced multi-paRametric Monitoring and analysis for diagnosis and
Optimal manage-ment of epilepsy and Related brain disorders
S&C Role: Project Coordinator, Middleware Development & Integration, Dissemination and Exploitation

HELIX

Project Type: 7th Framework Programme
Project name: The Human Early-LIfe eXposome - novel tools for integrating early-life environmental
exposures and child health across Europe
S&C Role: Mobile Sensor Acquisition

RADIO

Project Type: H2020
Project name: Robots In Assisted Living Environments: Unobtrusive, Efficient, Reliable And Modular Solutions For Independent Ageing
S&C Role: Smart home platform and sensors integration to assistant robot system in Assisted Living Environments, Dissemination and Exploitatio

SENIOR

Improve assistance and aging through a smart home with infrared sensors

The general objective of the project is to create a care home for the elderly that acts in a non-intrusive way. The Internet of Things and Artificial Intelligence technologies will be applied to create an innovative product that offers new services capable of solving the most common needs of older people living alone and their caregivers, both in terms of safety, comfort, care and well-being . This product will be designed together with the end users, both elderly and caregivers, to ensure its acceptability, validate its functionality and measure its impact. As a result, a new product will be obtained for exploitation in the elderly market (silver market).

Rol de S&C: Coordination, definition of requirements of the care home, automatic recognition of activities, detection of anomalies, development of the alert system, integration of infrared sensors in the IoT solution, pilot in real environment, dissemination and exploitation.

This project is identified as RTC-2017-6618-1 and is funded by the Ministry of Science, Innovation and Universities and co-financed by the European Regional Development Fund (ERDF) through the RETOS-COLLABORATION 2017 call.

ENVIRONMENT PROJECTS

CITY-SENSE

Project Type: 7th Framework Programme
Project name: Development of sensor-based Citizens' Observatory Community for improving quality of life in cities

IoT PROJECTS

DASF

Development of Business Intelligence "to increase the capabilities of our Smart Home enControl platform, through artificial intelligence algorithms, that is, to integrate programs that analyze data in a much more technologically advanced way to be able to provide higher value services to its users.

Development of R&D activities according to the State Plan for Scientific and Technical Research and specifically to "INTELLIGENT ELECTRICAL NETWORKS", through technological developments in software and the promotion of information and communication systems, forecasting and optimization systems and sensors and integration resources and active distribution.

NEST

Project name: An iNteropErable multidomain CBRN SysTem

Project description: NEST will design and implement a unique novel standoff system with the capability to detect multiple threats amongst which CBRN threats and the potential to include detection of pandemic viruses, such as SARS-CoV-2. As the day-to-day protection of commercial and transport facilities is the responsibility of their owners and operators, in close cooperation with local law enforcement, NEST will support owners, operators, and security staff by providing (i) threat indications and warnings, and (ii) guidance for facility security by developing appropriate information-sharing and analysis mechanisms.

Project type: H2020 SU-DRS04-2019-2020 "Chemical, biological, radiological and nuclear (CBRN) cluster"

File name: 101018596

S&C Role: (1) Project coordination; (2) Development of IoT platform; (3) Validation

                                        Project funded by: European Commission

ASIVI

Project name: Asistencia de la vida cotidiana mediante sensores de gas (Daily life support via gas sensors)

Project description: The aim of the project is to create a product based on gas detectors for elderly people, allowing them to be safe alone at home. Gas detectors allow you to monitor activities of daily living within the home, as well as identify dangerous situations. Gas detectors reduce the technical limitations that other sensors have for continuous activity monitoring. In addition, it controls the privacy of users, thus increasing the level of acceptance of this technology.

Project type: INNOTEC

File name: INNOTECRD18-1-0054

S&C Role: (1) Project coordination; (2) Development of IoT platform; (3) Validation

Project funded by: European Commission

                                                      Project funded by: Acciò

VIDA

Project Name: Sistema de ventilación inteligente y detección del nivel de higienización de interiores (Smart ventilation system and detection of the level of indoor sanitation)

Project Description: Development of a tool capable of measuring indoor and outdoor air quality to alert how and how long to ventilate in order to avoid contagion indoors. The indoor air quality will take into account all those factors that influence the permanence of the virus in the air, as well as the quality of the outdoor air in order to act on other ventilation mechanisms when the outdoor air quality is not adequate. In addition, it will alert of the level of disinfection of the room by detecting certain chemical compounds typical of cleaning products.

Project Type: INNOTEC

File Name: ACE014/20/000018

S&C Role: (1) Integrate new sensors for detecting indoor air quality (VOC, CO2, PM2.5, temperature and humidity) and outdoor air quality; (2) Development of an app to visualise the indoor air quality; (3) Automatic actuation on ventilation systems (air purifier)

                                                      Project funded by: Acciò

H2SENSE

Project name: New generation of IoT sensors for the detection of hydrogen leaks in chemical industries based on MEMS technologies and Neural Networks (New generation hydrogen IoT sensors for leak detection in chemical industries based on MEMS and Neural Network technologies)

Project Description: H2SENSE aims to develop the next generation of reliable Hydrogen (H2) gas sensors for the industry that are affordable to be a deployed permanently in chemical industrial plants and H2 production/storage sites to detect potential leaks and localize them before they can result in an accident. S&C will work in collaboration with two partners from Germany in this project namely, Union Instruments GmbH and Technical University Dortmund.

Project Type: NUCLIS R+D INTERNACIONALS

File Number: ACE013/20/000005

S&C Role: Research and development of an AI based software solution applying Artificial Neural Network techniques which will use real time measured data from the installed H2 sensor network to estimate the locations of possible leakages and visualize them on a mapping tool of the industrial site.

                                                      Project funded by: ACCIÓ

AI4GRID

Project Name: AI for Demand forecasting in commercial and public buildings in a smart grid context

Project Description: AI4Grid is a smart demand forecasting tool for electricity utilities and aggregators. It uses an AI model to accurately forecast electricity demand in individual buildings and building clusters with a focus on small and medium commercial establishments and public buildings in a city with a target to reduce total electricity consumption by up to 10% on average.

Project Type: PCP

S&C Role: In this project, we will focus on energy forecasting methods based on causal methods where the cause-and-effect relation is considered and analyzed. Multivariate modeling is adopted, where energy consumption time series is related to other influencing variables, such as socio-economic and climate factors.

Project funded by: This is part of the AI4Cities project that has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No 871914.