An intelligent operational supervision system for operability and reliability analysis of operators manual actions in task implementation

Abstract

In the paper, we present a framework for comprehensive operational feasibility analysis from both functional and structural safety perspectives using the measures of hazard and reliability. Within the framework, a pattern-matching algorithm is proposed for operation supervision and underlying human error mode identification using procedure-based action library. An intelligent operational supervision system is further developed in integration with operational mission reliability analysis. The capabilities of procedure-guided operation navigation and supervision as well as operability and reliability of operators manual actions are validated by a case study of reactor boron and water makeup system for manual makeup task implementation in QT virtual simulation environment. The validation results show that the intelligent operational supervision system is capable of procedural operation navigation and supervision. The trend impact of proactive operations can be effectively profiled using the measures of reliability in synchronous prediction and supervision.