Category: R+D+i Project

From Elliot Cloud, through the Project EXTRUBOTwe are committed to the digitisation and the application of new technological solutions to collaborate with the promotion and support of Business and Innovation Clusters (BIC) for the improving the competitiveness of SMEs. In collaboration with Cluster de Automoción (AEI Rioja), Standard profil and Umibots Robotic SolutionsIn order to guarantee the correct storage in the final operation (cutting and collection in the containers) in the extrusion process of a vehicle, we have carried out a nine-month project, which will be carried out in the following way: a) to ensure the correct storage in the final operation (cutting and collection in the containers) in the process of extrusion of a vehicle, ddeveloping and validating a prototype of an automatic system for such an operation.

Project data

• Call for applications: Support programme for Business and Innovation Clusters (BICs) 2022b.
• Duration: 9 months (July 2022 - April 2023).
• Project budget: 327,161 euros.
• Grant awarded: 255,838 euros.

Objective of the EXTRUBOT project

In the extrusion process, the final operation is the cutting and collection of the profile in progress in suitable containers that guarantee the correct storage without damaging the surface of the profile (mainly the surface that will be seen from the outside after the assembly on the vehicle).  

At present, this operation is carried out manually due to the complexity of storing the profiles in an orderly manner in the containers and the subsequent inclusion of the separating elements that prevent excess pressure between layers of profiles, with the corresponding risk of marks. This situation of manual collection also implies a limitation of the extrusion speed as a consequence of the operator's load limit. 

 The EXTRUBOT project will develop and validate a prototype of an automatic system for the in-line collection of extruded rigid profiles to ensure their correct stacking in containers. The project will focus on the construction of a functional prototype with the possibility of being used in production and finally the validation of this technology for its systematic application in similar lines.  

The prototype is expected to consist of an advanced robotics solution containing an automated guided vehicle (AGV), integrated with an industrial robot (spider, 6-axis, or collaborative), accompanied by a machine vision solution. This fully automated system will increase productivity, reduce costs by increasing production speed, and improve reputation by reducing the number of batches rejected by the customer. 

Through the Project COOLBOTWe are committed to digitalisation and the application of new technological solutions to collaborate with the promotion and support of Innovative Business Groups (AEI) for the improving the competitiveness of SMEs. In collaboration with Clúster Food I+i and Umibots Robotic SolutionsIn the course of the project, we have carried out a nine-month project that will proposes the research and development of an autonomous robot capable of transporting and stacking pallets of product inside a freezer chamber (at a temperature of -30ºC), facilitating and automating the logistical processes of food industries that operate with frozen products.

Project data

• Call for applications: Support programme for Business and Innovation Clusters (BICs) 2022b.
• Duration: 9 months (July 2022 - April 2023).
• Project budget: 202,685 euros.
• Grant awarded: 162,146 euros.

Aim of the COOLBOT project

The food industries that deal with frozen products have difficulties in automating their logistical processes. Currently, there are no automated guided vehicles (AGVs) that can operate robustly in frozen chambers.  

The COOLBOT project involves the research and development of an autonomous robot capable of transporting and stacking pallets of product inside a freezer chamber (at a temperature of -30ºC). Research will also be carried out on the integration into the robotic system of a software application for the management of the freezer warehouse, which will use an artificial vision system for the correct identification and location of the materials in the optimum locations to guarantee the greatest efficiency in their movements. 

From Elliot Cloud, through the OPTENERGY2 ProjectWe are committed to digitalisation and the application of new technological solutions to promote and support Innovative Business Groupings (AEI) for the development and implementation of new improving the competitiveness of SMEs. In collaboration with Energy Cluster of Aragon (CLENAR), AEI Smart City Cluster and Switching ConsultingWe have carried out a nine-month project, through an experimental project, which aims to modelling the consumption of centres or communities (electrical and thermal) of each of the prosumers of the network in which Thewill go to a platform application which will have The project takes into account the production of renewable energy, the consumption of its members, the monitoring of these, etc.

Project data

• Call for applications: Support programme for Business and Innovation Clusters (BICs) 2022b.
• Duration: 9 months (July 2022 - April 2023).
• Project budget: 245,501 euros.
• Grant awarded: 147,300 euros.

Objectives of the OPTENERGY2 Project

The project aims to carry out an experimental development of a comprehensive solution for the capture of data from distributed energy generation (electrical and thermal) of each of the prosumers of the network, modelling both the expected consumption of each of the centres or communities, as well as forecasting the generation in each of them, and monitoring the installation in real time. 

The development will include a platform application for the promotion and management of energy communities, which will take into account the production of renewable energy, the consumption of its members, the monitoring of both, calculation of the carbon footprint, calculation of savings obtained, etc. 

This solution will also have an energy market indicator data capture module for the construction of energy prices. Taking into account data inputs such as TTF, MIBGAS, HenryHUB, MEFF, parity of hydraulic reserves, wind, nuclear, CORES, combined cycle production, BRENT, TEXAS, etc., it will allow predictive purchasing criteria to be established. 

The platform will also integrate a calculator of CO2 emissions emitted and saved. 

Through the AMBITELL projectWe are committed to digitalisation and the application of new technological solutions to improve the competitiveness of SMEs. In collaboration with CITD Engineering and TechnologiesAragon Energy Cluster (CLENAR), AEI Smart City Cluster, ITAINNOVA and AMB GreenpowerWe have carried out a nine-month project through an interactive platform, to visualise and facilitate the management of self-consumption installations, generating greater automation and process optimisation.

Project data

• Call for applications: Programme of support to AEIs for the improvement of the competitiveness of SMEs - 2022.
• Duration: 9 months (July 2022 - April 2023).
• Project budget:128,774 euros.
• Grant awarded: 67,663 euros.

Objective of the AMBITELL Project

A wide variety of SCAD programmes are currently available on the market as a digital management tool for remote monitoring of industrial processes. 

In the renewable energy sector, and more specifically in photovoltaic installations, there are different types of SCADA depending on the technology and characteristics of the installation. This generates a situation of certain complexity when it comes to managing different types of SCADA. photovoltaic solar plants self-consumption, as installations may have different SCADAs, with their own particular technology.  

The AMBITELL project aims to carry out an experimental development in the form of an interactive platform to visualise and facilitate the management of self-consumption installations, facilitating the massive processing of data and getting more out of all the information available. 

The AMBITELL platform will thus result in increased process automation and optimisation, time savings, improved business decision making and the absence of human error. 

From Elliot Cloud, through the SCALDATA ProjectWe are committed to digitalisation and the application of new technological solutions to improve the competitiveness of SMEs. In collaboration with CITD Engineering and Technologies, Andalucía Smart City Cluster and AEI Smart City ClusterWe have carried out a nine-month project to generate predictions on the defectology of manufactured parts by means of artificial intelligence techniques applied to manufacturing parameters.

Project data

• Call for applications: Support programme for Business and Innovation Clusters (BICs) 2022.
• Duration: 9 months (21/03/2022 - 21/12/2022).
• Project budget: 267,590 euros.
• Grant awarded: 205,491 euros.

Objective of the SCALDATA Project

Additive manufacturing processes are efficient in the use of materials and energy and contribute to making production processes more flexible. Therefore, in a scenario of scarce resources, with increasingly tight deadlines and costs, it is imperative to replace and complement traditional material removal processes with more efficient ones such as additive processes. However, there are still many factors that prevent the adoption of this technology, especially the appearance of defects in the manufactured parts, which are unpredictable, random and difficult to detect.

The main objective of the project will be to exploit data relating to powder metal bed additive manufacturing processes and use artificial intelligence to generate predictions for the typology, location and effect of defects in the parts produced. Knowledge of this defectology, both in terms of location and size, is of vital importance for the validation of the part, especially for applications with fatigue requirements.

Currently, the distribution of defects in a printed part is obtained thanks to non-destructive inspection methods such as tomography or radiography, being necessary to reach minimum resolutions to be able to detect defects that could be critical for the correct functioning of the part. This process is cost and time inefficient and often leads to discarding parts after costly manufacturing, machining or other post-processing and inspection processes.

Through the OPITRADE ProjectWe are committed to digitalisation and the application of new technological solutions to improve the competitiveness of SMEs. In cooperation with the CITD Engineering and TechnologiesAndalucía Smart City Cluster, Andalucía Smart City Cluster and AEI Smart City ClusterWe have carried out a nine-month project to integrate IoT and Blockchain technologies in order to monitor and manage the circular economy of plastics at the level of equipment and production process.

Project data

• Call for applications: Programme of support to AEIs for the improvement of the competitiveness of SMEs - 2022.
• Duration: 9 months (21/03/2022 - 21/12/2022).
• Project budget: 226,901 euros.
• Grant awarded: 175,864 euros.

Objective of the OPITRADE Project

Plastic is a material used intensively in industry and its use has become an environmental problem on which many national and international policies have an impact. The optimisation of its management is, therefore, fundamental to reduce its waste and the amount of it that ends up having to be recycled due to errors and malfunctions in industrial processes.

In this sense, the OPITRADE project aims to integrate IoT and Blockchain technologies to monitor and manage the circular economy of plastics at the level of equipment and production process, allowing to analyse the related processes, optimise them and even, in future applications, favour predictive and preventive maintenance of the production chain.

While, in plastic recycling processes, knowledge-based systems are normally based on expert systems, recommendation systems or case-based Reasoning, in the studies carried out in this project, the aim of the simulation has not been to control the industrial process, but to simulate it in order to develop possible intelligent improvements, both in the process itself and in the energy and economic frameworks that can produce a benefit from any perspective related to the production process. Thanks to this, a generalised procedure has been obtained that has allowed the definition of a methodology applicable to other production processes in the industrial sector.