Modeling the architecture of the cognitive internet of things for information and measurement systems and automated systems

Аuthors

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Abstract

An approach to modeling the architecture of the cognitive Internet of Things (IoT) is proposed. Within the framework of the study, a set of basic principles, modeling of structural elements and functional capabilities was determined. This has led to the creation of a functional architecture capable of representing real-world objects and their virtualization, virtual objects and virtual composite objects. Within the framework of the cognitive cycle, in which knowledge is extracted from observing the external environment, which is constantly evolving, decisions/actions determine the future behavior of systems within the framework of a service request. From the point of view of information and measurement systems, this means that any real object can be represented as a virtual object (VO), which can be used or reused in the required context according to the decision of the cognitive IoT architecture. All VOs can be represented as a composite VO (CVO) upon service request. However, before compiling the CVO, the IoT architecture checks the availability of relevant CVO already compiled in the registry to quickly prepare for a service request. Practically, the proposed cognitive IoT architecture helps to exclude a person from the process of service operation, analysis, and maintenance of the system. This is especially important when scaling information and measurement and automated systems. A human is only needed to generate a service request if it cannot be generated automatically. In addition, the proposed architecture allows for a conceptual transition from the level of modeling and networking of physical objects to the level of service provision. Thus, any object and object can be presented as a service and support the "servitization" model. The evaluation of the response time of the proposed architectural solution to service requests involving a different number of virtual composite objects has been carried out, which will allow using the architecture of the cognitive Internet of Things to model heterogeneous monitoring systems with the necessary number of sensors and measuring systems and services.

Keywords:

thermal catalytic hydrogen sensor, platinum group catalysts, low-temperature catalytic combustion, reaction self-initiation temperature

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