Research and Development

VDT Technology has an experienced team of experts who also participate in research and development projects, the outputs of which the company then implements into its portfolio.

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Our team of experts focuses on a wide range of disciplines, in particular in the field of IT infrastructure across the industrial and public sectors, telematics, transport systems, water supply, energy and healthcare. We are currently the projects solvers of public tenders and calls of the Technology Agency of the Czech Republic (TAČR) in the Trend, Environment for Life and Epsilon programs. We are members of NCK National Competence Center MATCA (Materials, Advanced Technologies, Coatings and their Applications) and partners of PATRIC a.s. (Prague Advanced Technology & Research Innovation Center).

Research project

Ensuring safety of road transport vehicles, infrastructure and processes, automation methods of traffic information validation

TAČR – The project develops a system using analytical software to evaluate the intensities and daily variations of car and bicycle traffic at selected important intersections, where the directions and composition of vehicles and traffic flow will be distinguished, which will be used to identify emergencies and crisis situations. For surveillance of the city infrastructure, including soft targets, the Prague existing camera system will be used.

The system will be complemented by an automated system for providing traffic information from an unmanned vehicle, which will in itself have advanced incident detection and recognition technologies.
The project will use elements of artificial intelligence in the process of Industry 4.0 as well as virtual reality.

Evropská Street in the section Dejvická – Veleslavín is selected as a transit road for verification of new project functions, analysis of traffic flow behavior with the potential for future traffic management and its direct influence in the event of emergencies.

The whole project has a potential link to the project, Chytrá Evropská [Smart Evropská Street].

Research project

Advanced technologies for heat and electricity production

ČVUT– Research, Development and Innovation Project, PlD Competence Centre: TEO1020036, Advanced Technologies for Heat and Electricity Generation using the IoT platform.

The aim of this project was to process, analyze and visualize data from one heating circuit of the Strakonice Heating Plant on the MindSphere platform. Furthermore, continuous evaluation of data in terms of their standard course with sending warning messages. Detailed analysis of data in a comparative way within the entire measured heating branch in points as well as in time/power sequences according to requirements.

Research project

Analysis of implantable instrument data outputs using IoT platform

TAČR/Emergency– The aim of this project is an application unifying system of manufacturers of implantable devices (CIED – Cardiovascular Implantable Electronic Devices). The application unites different interfaces of individual manufacturers into a unified playback of the developed application. Manufacturers use different data storage systems and formats, this data will be unified in a single structure that will be implemented in the Mindsphere cloud environment, which the application will automatically fill with data from implantable devices.

Research project

Use of cloud-computing and predictive wastewater analysis to reduce emissions to the aquatic ecosystem

TAČR/VŠCHT – The aim of the project is to create an intelligent WaterScan Toolbox algorithm to predict the quality and quantity of waste water flowing into the wastewater treatment plant (WWTP). The prediction of these data in a matter of hours will make it possible to propose operational measures to reduce the risk of pollution emissions, including simulation scenarios and risk analysis at the WWTP or at the relief chambers, as appropriate. The emerging algorithm uses cloud-computing and machine learning. Based on an in-depth analysis of available wastewater data (qualitative and quantitative data, repeated events i.e., days of the week, seasons, city behavior, etc. together with precipitation forecasts), a neural network is created capable of predicting the incoming fabric and hydraulic loads of the WWTP. This knowledge will make it possible to create a database of scenarios of operational measures at the WWTP, simulate the effect of their implementation and thus eliminate the risk of non-compliance with emission limits into aquatic ecosystems.

In the research team, we cooperate with the universities of VŠCHT Praha and ČVUT and the operator of Prague water infrastructure, PVK a.s.