Decision Making in a Distributed Intelligent Personnel Health Management System on Offshore Oil Platform

Abstract

This paper explores the decision-making problems in a geographically distributed intelligent health management system for oil workers working in offshore industry. The decision-making methodology is based on the concept 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. This paper develops a functional model of the health management system for workers employed on offshore oil platforms and implements it through three phased operations, that is monitoring and assessing the health indicators and environmental parameters of each employee, and making decisions. These interacting operations, as the links of a single decision-making process, combine the levels of a distributed intelligent system for managing the health of workers and ensure its functioning as a whole. 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 evaluating the generated data and making decisions using fuzzy pattern recognition.