Abstract

The subject of this paper is development of software framework for real-time management of intelligent devices. The framework enables intelligent management of IoT devices in cyber-physical systems using models based on recurrence relations and differential equations. The platform was developed using Python programming language, Django framework and wide corpus of modules and libraries that supports continuous simulation. The software framework incorporates application programming interface as well, for specification of system behaviour, transmission of input parameters and output results, sending control actions via web services to the IoT system.

Highlights

  • The framework enables intelligent management of IoT devices in cyber-physical systems using models based on recurrence relations and differential equations

  • IoT technologies enable the connection of a large number of users, devices, services and applications to the Internet [9].Management of intelligent devices often needs to be done in real-time

  • Depending on the call type, the simulation system will process data sent from the IoT system and embed them as a part of the continuous simulation process, it will send a control action to the IoT system as a result of the continuous simulation process or it will read the output from the IoT system

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Summary

Introduction

Cyber-physical systems (CPS for short) integrate devices, networks, interfaces, computer systems, and others with physical world. According to [8], cyber-physical systems, Internet of things and big data are related concepts of cooperative solutions, where people, autonomous devices and the environment interact with one another to achieve a certain goal. IoT technologies enable the connection of a large number of users, devices, services and applications to the Internet [9].Management of intelligent devices often needs to be done in real-time. The main idea of the research is to develop a comprehensive platform that would enable modelling and simulation of different smart environments. To achieve this goal, it is vital to define a uniform formal model applicable to any smart environment whose mathematical representation can be mapped to its implementation as one-to-one correspondence. Труды ИСП РАН, том 31, вып. 3, 2019 г., стр. 35-46

Continuous system simulation in IoT context
Formal model of a continuous simulation system
Formal model of a hybrid IoT system for real-time simulation
Orderliness
Simulation engine
Mapping the values of state variables and output from the IoT system
Example
Conclusion
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