Technology of multidimensional contextual analysis using the Internet of Things, data with a large volume of Big Data as well as cloud and mobile solutions

Abstract

The presented project was implemented based on the following research areas: extraction of data of analytical significance from data sets registered by means of two-way BLE radio communication, a digital user profile built dynamically on the basis of data analysis from many sources, management and processing of big data in cloud resources, advanced analysis of profile data using classification, statistical and machine learning methods. As a result of the research and development work carried out, the technology of multidimensional contextual analysis using the Internet of Things, data with a large volume of Big Data as well as cloud and mobile solutions was created and implemented. This technology will allow in the near future to provide the market with new components and services related to the exchange of digital profiles of moving terminals, allowing for calculations and predictions helpful in the analysis of tourist data, matching offers for travelers and many other services, mainly from the SME sector. The use of systems using the BLE standard allows for the location of terminals in places normally inaccessible for classic GPS positioning, such as shop halls, shopping malls, public facilities, large hotels, historic churches, undergrounds, tunnels, etc. Moreover, it allows for significant energy savings and extending the operation of the device from the battery. The author’s team applied approaches based on programmable FPGA gate systems, thanks to which it will be possible to optimize the functionality of future products in terms of market needs and significantly reduce their production costs.