Modeling and optimization Internet of things systems in companies

I. Ya. Lvovich; Ya. E. Lvovich; A. P. Preobrazhenskiy; Yu. P. Preobrazhenskiy

doi:10.1117/12.2631181

17 May 2022 Modeling and optimization Internet of things systems in companies

I. Ya. Lvovich, Ya. E. Lvovich, A. P. Preobrazhenskiy, Yu. P. Preobrazhenskiy

Proceedings Volume 12251, Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021); 122510D (2022) https://doi.org/10.1117/12.2631181
Event: Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021), 2021, Dushanbe, Tajikistan

Abstract

The paper is devoted to the investigation of the characteristics of the Internet of Things system, which is used in various organizations. It is proposed to apply leading indicators to form predictive models in the internet of things. The block diagram of the formation of a predictive model is considered. In the Internet of Things system, it is required to form an integral indicator. In the course of its calculation, it is proposed to use an expert approach. An assessment of the significance of individual indicators in the Internet of Things system has been carried out.

Citation Download Citation

I. Ya. Lvovich, Ya. E. Lvovich, A. P. Preobrazhenskiy, and Yu. P. Preobrazhenskiy "Modeling and optimization Internet of things systems in companies", Proc. SPIE 12251, Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021), 122510D (17 May 2022); https://doi.org/10.1117/12.2631181

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available