Overview
| Project No. | 1048 |
|---|---|
| Contract No. | 693JK32550002CAAP |
| Research Award Recipient | Texas A&M University - Corpus Christi 6300 Ocean Drive, Unit 5844 Corpus Christi, TX 78412-5844 |
| AOR/TTI | Nusnin Akter |
| Researcher Contact Info | Dr. Jangwoon Park Phone: 361-825-2874 Email: jangwoon.park@tamucc.edu |
| Technology Demonstrated | TBD |
|---|---|
| Commercialized (in whole/part) | TBD |
| Commercial Partner | Empty Value |
| Net Improvement | Empty Value |
| Project Status | Active |
|---|---|
| Start Fiscal Year | 2025 (09/30/2025) |
| End Fiscal Year | 2027 (09/29/2027) |
| PHMSA $$ Budgeted | $722,035.00 |
Main Objective
The main objective of this project is to design, test, and validate human-machine interface (HMI) protocols for pipeline control room operations using a simulation technology (functional digital twin), with a focus on human-centric performance under high-risk conditions.
Anticipated Results:
- Validated HMI protocol design guidelines
- Functional control room testbed for training and evaluation
- Improved operator response time and accuracy
- Reduced alarm fatigue and cognitive workload
Public Abstract
This project proposes the development of an immersive simulation environment to evaluate and optimize human-machine interface (HMI) protocols in pipeline control rooms governed under 49 CFR Parts 192 and 195. Pipeline operators rely heavily on SCADA systems to monitor and control operations; however, deficiencies in HMI design can lead to human errors, particularly during high-pressure and time-sensitive events. To address this, our team will build a virtual replica of a pipeline control room to simulate realistic SCADA interfaces and emergency scenarios. Usability testing with trained operators and graduate participants will yield data on cognitive workload, error rates, and response times to identify design issues. Over a 24-month period, the project team—three faculty members, one Ph.D. student, and two M.S. students—will iteratively refine and validate HMI protocols in partnership with Corpus Christi industry stakeholders. Anticipated outcomes include enhanced operator performance, reduced alarm fatigue, and a field-tested protocol ready for industry implementation.
Potential Impact on safety: The proposed research aims to significantly reduce human error during pipeline operations by improving alarm handling, information clarity, and decision-making speed through ergonomically designed HMI interfaces, ultimately reducing the likelihood of pipeline accidents or incidents.