Menyu
Avtorizasiya  
Login: 
Parol: 
ITI əməkdaslarının elmi isləri Elektron kitabxana Konfranslar İnformasiya Sistemi Qəzetlər UOT 004
eXTReMe Tracker
ITI əməkdaşlarının elmi işləri - kitab


 Biblioqrafik təsvir
Mamedova , M.H. Chapter 5 Decision support in a remote health monitoring system for shift workers on an offshore oil platform / M.H. Mamedova , Z.G. Jabrayilova . - Tallin : Scientific Route, 2023. - 23 p. - ISBN ?
 Annotasiya
 This chapter proposes a methodological approach for the decision synthesis in a geographically distributed intelligent health management system for oil workers working in offshore industry. The decision-making methodology is based on the con- cept of a person-centered approach to managing the health and safety of personnel, which implies the inclusion of employees as the main component in the control loop. In this chapter, a functional model of the health management system for workers employed on offshore oil platforms id developed and implemented through three phased operations that is monitoring and assessing the health indicators and envi- ronmental parameters of each employee, and making decisions. These interacting operations combine the levels of a distributed intelligent health management sys- tem. The paper offers the general principles of functioning of a distributed intelligent system for managing the health of workers in the context of structural components and computing platforms. It presents appropriate approaches to the implementation of decision support processes and describes one of the possible methods for evalu- ating the generated data and making decisions using fuzzy pattern recognition. The models of a fuzzy ideal image and fuzzy real images of the health status of an em- ployee are developed and an algorithm is described for expert assessment of the de- viation of generated medical parameters from the norm. The chapter also compiles the rules to form the knowledge bases of a distributed intelligent system for remote continuous monitoring. It is assumed that embedding this base into the intelligent system architecture will objectively assess the trends in the health status of workers and make informed decisions to eliminate certain problems.
 Elektron variant
Elektron variant

     ________
     © ict.az   http://ict.az/az
 
Copyright © 2009-2021 AMEA İnformasiya Texnologiyaları İnstitutu