Specifications, Design and Evaluation of an Advanced Human-Adapted Supervisory System

Supervision of highly automated processes is an interdisciplinary research area. Knowledge in the fields of automation, process knowledge, machine engineering, ‘work post’ ergonomics, cognitive ergonomics, working psychology, sociology and so on is necessary to design efficient supervisory systems. This is because supervision is an activity in which man, despite the increasing automation of recent years, is still present. Our research concerns monitoring tasks and diagnosis tasks in continuous processes. In this paper we propose specifications for an advanced human-adapted supervisory system (AHASS) integrating representation characteristics of the production system, such as functional, structural and behavioural aspects based on cognitive engineering models, with the use of advanced algorithms of detection and location. The main idea is to design a supervisory system well balanced between human and technical aspects. Indeed, man–machine system-centred approaches can deal to another extreme like purely technical approaches. These specifications have been used to design an AHASS for a nuclear fuel reprocessing system that has been evaluated through experiments with experienced operators. The results show that the approach is interesting because the boarder between support and assistantship is never crossed.