PSAM 16 Conference Paper Overview
Welcome to the PSAM 16 Conference paper and speaker overview page.
Lead Author: Ronald Boring Co-author(s): Thomas Ulrich
thomas.ulrich@inl.gov
Jooyoung Park
jooyoung.park@inl.gov
Jeeyea Ahn
jeeyea.ahn@inl.gov
Yunyeong Heo
yunyeong.heo@inl.gov
| The HUNTER Dynamic Human Reliability Analysis Tool: Overview of the Software Framework for Modeling Digital Human Twins |
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| The Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) was previously developed as a simplified test case for dynamic human reliability analysis (HRA). HUNTER1 paired a dynamicized version of the SPAR-H HRA method that autocalculated the effects of performance shaping factors (PSFs), an implementation of the GOMS-HRA method to compute time for modeled human tasks, and an interface between the RAVEN modeling environment and RELAP5 thermo-hydraulics code. In this manner, a simple implementation of a virtual operator was coupled to a virtual plant model. In order to mature this framework, HUNTER2 has been initiated. HUNTER2 seeks to scale the earlier proof-of-concept demonstration into a software toolkit that can be deployed to support industry needs for dynamic HRA. One challenge that has existed with many dynamic HRA approaches is the need for bespoke software implementations for each modeled scenario. To avoid this, we are creating a scalable framework that can interface with different modeling tools as modules. The crucial elements of HUNTER2 are: (1) a task-modeling module; (2) a dynamic, autocalculated performance shaping factor module; (3) a decision-making module; (4) a scheduler module; and (5) a plant model. The scalable nature of HUNTER2 resides in its ability to switch modules through a codec that communicates with each module. For example, the current implementation of HUNTER2 continues developing the dynamic SPAR-H module begun with HUNTER1, but it is also possible to run a scenario without PSFs or with a different representation of PSFs. Similarly, the decision-making module can take many different forms, ranging from simple probabilistic decision paths to a more complex cognitive modeling architecture akin to artificial intelligence. Likewise, the world model may switch between reduced order plant models like the Rancor microworld simulator, to fully featured thermo-hydraulic modeling in RELAP5, to balance-of-plant modeling using EMRALD. The HUNTER2 architecture allows incorporation of dummy values, simplified modules, or rich models—allowing scalability of the interactions according to the modeling fidelity required. This paper discusses the development of the HUNTER2 framework and its implementation as a scalable and usable dynamic HRA software tool. |
Paper RO173 Preview
Author and Presentation Info
Lead Author Name: Ronald Boring (ronald.boring@inl.gov)
Bio: Dr. Ron Boring is a Distinguished Human Factors Scientist and Department Manager at Idaho National Laboratory (INL). He has led control room modernization and human risk efforts for a variety of national and international partners. He was the founder of the Human Systems Simulation Laboratory at INL and led development of prototyping tools such as the Advanced Nuclear Interface Modeling Environment (ANIME) and human factors evaluation methods like the Guideline for Operational Nuclear Usability and Knowledge Elicitation (GONUKE) to support control room development at U.S. utilities. He has developed the Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) method, which is used extensively for risk modeling. Dr. Boring has a Ph.D. in Cognitive Science from Carleton University. He was a Fulbright Academic Scholar to the University of Heidelberg, Germany, and currently holds the honorary title of Fellow of the Human Factors and Ergonomics Society.
Country: United States of America
Company: Idaho National Laboratory
Job Title: Manager
Bio: Dr. Ron Boring is a Distinguished Human Factors Scientist and Department Manager at Idaho National Laboratory (INL). He has led control room modernization and human risk efforts for a variety of national and international partners. He was the founder of the Human Systems Simulation Laboratory at INL and led development of prototyping tools such as the Advanced Nuclear Interface Modeling Environment (ANIME) and human factors evaluation methods like the Guideline for Operational Nuclear Usability and Knowledge Elicitation (GONUKE) to support control room development at U.S. utilities. He has developed the Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) method, which is used extensively for risk modeling. Dr. Boring has a Ph.D. in Cognitive Science from Carleton University. He was a Fulbright Academic Scholar to the University of Heidelberg, Germany, and currently holds the honorary title of Fellow of the Human Factors and Ergonomics Society.
Country: United States of America
Company: Idaho National Laboratory
Job Title: Manager