Theoretical and multiple approach to building a dual sac system model for the research area with mixed real and virtual objects

Introduction. At present, the class of equivalence in the financial markets of many countries is a virtual information object - crypto, the accounting of flows of which is maintained in a multi-user system of relations blockchain. The information technology of crypto transactions is based on elements of cryptography theory. Increasing or decreasing the capacity of accounting objects is usually realized by mining, forking and investing in a new digital currency. Today, the use of crypto is very attractive to a number of users due to its relative independence (complexity) from external and internal factors (in the form of influence on transactions of state bodies, banking structures, participants of the payment system itself), irreversibility of transactions in the financial market and relatively complete anonymity. These circumstances are an attractive field for applying various additional (from a closed set of operations on the Internet) operations. Aim. The construction of a dual system model of a software analytical complex for the studied field of activity with mixed real and virtual objects based on a set-theoretic approach. Materials and methods. Application of the rules of the international system engineering standard ISO / IEC / IEEE 15288, as well as the method of semantic differentials by C. Osgood for the processing and presentation of information. Results. There is an opportunity to apply a technology based on decentralization - the use of blockchain (creating a fully decentralized platform on which business processes are performed), which allows to improve work processes, as well as create a unified communication language. Conclusion. In this regard, interest arises in the use of big data analytics, categories of information objects - software modules, which ensure the implementation of connection of real and virtual objects with information processes taking into account their mutual relations in the software analytical complex.