Services we provide

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SW development

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Smart home

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Smart wellbeing & health

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BIM

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SW development

The company provides also  competences and experience in: smart sensors, cloud computing and Internet of Things (IoT) services; large systems with million lines of code and large databases over 100 Mio records; AI and ML solutions, smartphone and tablet applications; modelling, digital repositories (text, images, video) implementation and enrichment with semantic-based innovative services like personalisation, multilinguality, intelligent search, use of recommender services, etc; ontologies, metadata formats, web services, interoperability and standards; data mining and business intelligence; web 2.0, enterprise 2.0 and social networks applications, e-learning and competence development methodology, tools and services; design of system architectures; user experience, open innovation and Living Lab methodology and tools (VirtSOI Living Lab, SofiaLab); web portals. Technologies: Database: Oracle, MS SQL Server, PostgreSQL, MySQL; Programming languages: C++. Java, Objective C; Development platforms: MS Visual studio, Eclipse, Eclipse with Android plug in, xCode; Platforms: Linux; Windows, iOS, Android; Administration: Windows, Linux, Cloud computing infrastructure.

Smart home

The Smart Home service aims at building an integrated solution to provide smart home and wellbeing services based on a cross-domain data space, which will be further opened for other users as well. The main challenges are: interoperability of the technology solutions, secure and trustful data sharing, appropriate user-experience design of the mobile apps, etc. FI-Home will make possible life in a smart home to be: comfortable; healthy; safe; resource efficient; environment friendly; informed; exciting. The main functionalities of the FI-Home service will be: control over the house microclimate; monitoring thermodynamic energy balance; keeping track of energy expenditure of the house; seamless data and control compatibility among different equipment providers; variety of alerting and predicative algorithms to minimize power losses and negative environmental impact of the house.

Smart wellbeing & health

The service will concentrate on a Homecare model, but it will be very much related to informal care and social support networks, community and social care and hospital care. It aims at developing a model of personalized e-health/wellbeing and smart home services for elderly people. Smart health home-based services will be used for prevention of and for regular treatment of chronic diseases. When a certain patient’s case needs a hospital intervention, then the treatment can start at home, and after the clinical treatment the patient can be turned back to home-based healthcare services provided by different stakeholders. This model fits well for the Covid-19 challenges where the users are set in isolation in their homes.  Falls are one of the leading causes of injuries and death among the elderly.  Customised UIs will allow elderly and other actors to access the system via their tablet, smartphone or computer, in order to input and access relevant information. The service improves user engagement by using the system to empower the elderly to proactively manage their health conditions and to promote a sense of ownership over their health and their care. 

Building Information Modelling (BIM)

Based on advanced BIM tools and deep understanding of the building physics which is essential to use the digital calculation tools. Energy demand arises from the interior space comfort requirements, which can be summarized as: i) visual comfort: 200-500 lx ; ii) thermal comfort: 20-25ºC at 40-60% relative humidity; iii) air quality index (AQI): between 0 and 50; 1.5-2 air; changes per hour, 350-500 ppm CO2 concentration; fine  particle 50 μg/m3 PM10 and 25 μg/m3 PM2.5 iv) acoustic comfort: 35-40 dB noise level. A usual method to estimate the building performance is to introduce model input and using thermodynamic algorithms to simulate the heat transfer in terms of conduction, convection (fluid mass transfer), radiation (UV,visual and IR) and latent loads. Perhaps the most sophisticated and exact algorithms are called Energy Plus, developed by US Department of Energy introduced in different graphical interfaces. Usual input required is: i) building geometry; ii) climate data; iii) site orientation and local shading; iv) building enclosure and HVAC data; v) user behavior and schedule of use; vi) automation control.