One of the main challenges in the water sector is the development of new technologies that introduce intelligence and machine learning into water services in order to optimise water treatment.
Currently, most water treatment technologies are based on biological processes, i.e. they depend on living bacteria that need to be maintained, therefore their main monitoring variables cannot be instrumentalized and have to be calculated by inference. All this leads to great inefficiency.
The objective of OXI-TWIN is to promote the digital transformation towards the 4.0 industry in the water sector. To this end, it proposes the use of direct mineralisation techniques (based on advanced oxidation) and through which there is no dependence on live batteries to be maintained in water treatment. This is a major advance as the systems can be switched off when they are not in use, generating significant cost savings.
t will also promote the digital transformation towards industry 4.0 by using a system of sensors. This data will be integrated into a digital 4.0 platform that makes it possible to capture operating data for optimisation in real time and to apply algorithms based on Big Data. This, combined with a fluid simulation system (CFD) will create a digital twin of the plant.
Our objective is to join knowledge in purification and digitalization systems to develop the direct mineralization technology and the digital twin (including monitoring and computational simulation of fluids) respectively.
This synergy of technology and knowledge will result in increased competitiveness in the industries by reducing costs.
- There is no dependence on bacterial beds that cannot be monitored and which must be supplied with nutrients even if the company is not generating any waste.
- Reduced maintenance costs
- Totally flexible equipment that adapts to the needs of each user and solves problems such as seasonality (It be switched on and off at the moment that is needed like any other equipment).
- Real-time data capture according to Industry 4.0 standards
INGEOBRAS, through firstname.lastname@example.org
PIRINEOS METAL, through email@example.com
ZINNAE, through firstname.lastname@example.org
This project received funding support under the “Innovative Business Associations” framework (AEIs). This program supports to strenghten innovation clusters and is also alligned with the european strategy for competitiveness through innovation.
The groups that can benefit from this aid are those entities whose innovative potential and critical mass is enogh to get the recognition from the Ministry of Industry, Commerce and Tourism through their registration in the Register of Innovative Business Groups.
To this end, the scope of the project is defined in the following specific objectives:
- Calculate and design a pilot for water treatment based on direct mineralization technology. This pilot will be adapted to the use of Internet of Things technologies.
- Model with CFD (computational fluid dynamics) simulation all the possible scenarios within the pilot reactor. Afterwards it will modify the main variables that can affect the process, determining the optimum point of flow homogenization.
- Develop a 4.0 platform for data treatment, visualization and storage, both locally and in the cloud, being accessible and analyzable from any device with a web server.
- Generate a digital twin that will integrate the CFD simulation and the digital-sensorial instrumentation data. All of them will be visualized through the 4.0 platform.