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R&D Innovation - Frizonia

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R&D Innovation

Innovation goes beyond being a mere aspiration. For Frizonia, it’s a constantly evolving reality that continually redefines the standards of the HVAC+R industry. This ensures that we stay at the forefront of changing needs and future challenges.

Research, Development, and Innovation at Frizonia

At FRIZONIA, we are undertaking several lines of work in the field of Industry 4.0, such as the implementation of Integrated Logistics Support 4.0, simulation projects or Digital Twin, as well as other technologies like remote monitoring and cybersecurity, and virtual and augmented reality.

Innovation in the HVAC+R sector is a topic of great importance and relevance, being an indispensable element of work in any industrial organization.

Digital Twin
Currently, Frizonia is conducting a pilot project for a digital twin of an HVAC subsystem. To start with a “simple” pilot, a piece of equipment manufactured by Frizonia has been made intelligent.
ILS / Logistics 4.0
Frizonia has implemented a system that allows users to access all the logistical information of the equipment through a QR code on the characteristics plate. This information is fully customizable according to the client’s needs.
Remote Monitoring / Cybersecurity

FRIZONIA provides Remote Monitoring services for installations, allowing for the control of systems with the verification of operating parameters, performance evaluation, and prevention of equipment failures, among others.

To ensure the security of connections with systems, FRIZONIA is actively working in the field of cybersecurity.

Virtual and Augmented Reality

Virtual Reality (VR) and Augmented Reality (AR) are essential in the transition towards Industry 4.0. Both technologies use virtual environments (VR) or introduce virtual elements into reality (AR), providing valuable knowledge and information.

AR is beneficial for fieldwork by facilitating access to complete information through mobile devices, thus improving maintenance and repair tasks. On the other hand, VR is applied in simulation and operator training.

INCENTIVE FROM THE ANDALUCIAN AGENCY FOR INNOVATION AND DEVELOPMENT, JUNTA DE ANDALUCÍA

An incentive has been received from the Andalusian Agency for Innovation and Development IDEA, of the Junta de Andalucía, for an amount of 48,652.28 euros, 80% co-financed by the European Union through the European Regional Development Fund, ERDF, for the implementation of the INTEGRAL MANAGEMENT SYSTEM ERP WITH APPLICATION TO INDUSTRY 4.0 project, with the aim of ensuring better use of information technologies.

INCENTIVE FROM THE ANDALUCIAN AGENCY FOR INNOVATION AND DEVELOPMENT, JUNTA DE ANDALUCÍA

An incentive has been received from the Andalusian Agency for Innovation and Development IDEA, of the Junta de Andalucía, for a total project amount of 137,138.36 euros, with FRIZONIA being the beneficiary of 51,385.34 €, 80% co-financed by the European Union through the European Regional Development Fund, ERDF, for the DEVELOPMENT OF VENTILATION AND EXTRACTION SYSTEMS FOR SHIPS THROUGH ADDITIVE MANUFACTURING – 3DFLOW project, with the objective of promoting technological development, innovation, and quality research.

Advanced ship performance prediction tool

An initiative included in the primary project “PP23 Gemelotec: Development of advanced technologies for the digital twin of naval systems and ships” within the framework of the tractor project “INNCODIS: Development of an innovative industrial ecosystem for a competitive, diversified, and sustainable naval sector” of PERTE NAVAL is the creation of an advanced tool for the prediction of ship performance through the use of a digital twin.

The aim of the digital twin is to demonstrate how to improve agility and efficiency in the operation and exploitation of a ship’s systems. Specifically, this project is based on the contribution of defining the operational requirements for a prototype digital twin of a fan coil HVAC system. The study focuses on its application in supporting specific operations of these systems and their maintenance throughout the lifecycle of the equipment.

In addition, the technical scope of the hardware and software architecture of the Digital Twin that will support the identified functional requirements will be defined. Based on these requirements, the physical models of the systems will be defined, which, once validated, will be parameterised and refined by means of analytical models that will increase their complexity and adaptation as operational data become available, achieving integration in a digital twin architecture.

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