Adaptive remote monitoring and control system for the operation of hazardous facilities based on a risk-based approach

Introduction. When designing technically complex industrial facilities and transport infrastructure facilities, much attention is paid to the safety of operation and maintenance. Despite all the measures taken during the development of systems, there are cases of violation of the operating rules, as well as the maintenance of a hazardous facility of inadequate quality. Non-compliance with the requirements leads to malfunctions, accidents, and in some cases, to accidents. With the development of the Internet, it becomes possible to develop devices that allow you to control a large number of parameters of technically complex devices and transfer their parameters to a single database, for subsequent processing and decision making.

Problem Statement. The article discusses the methodology of adaptive remote monitoring and control of the operation of hazardous facilities based on a risk-based approach, which is a product of the Internet of things. This is a recommendation system for making a decision on the safety of hazardous facilities based on the assessment of risk indicators taking into account the functional and linguistic criteria of the actual technical condition.

Theoretical Part. A feature of the proposed methodology is an algorithm for developing a decision on the safety of an object in real time, which provides an integrated assessment of anthropomorphic and machine data in the cloud space of the Internet using neural networks and artificial intelligence technologies, followed.

Conclusion. The main result of using the recommendation system is the reduction in accidents during the operation of a dangerous object, due to the actual reliability of remote control, which is used in the development of decisions of a 

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