NeTS: Medium: Collaborative Research:
Riding the Stress Wave: Integrated Monitoring, Communications, and Networking for Subsea Infrastructure

                                                                              

Project Information

Project Synopsis

Thousands of miles of pipelines crisscrossed on the Gulf of Mexico sea floor comprise the veins for offshore oil and gas industry of the United States. Leaks and ruptures of those pipelines can lead not only to staggering economic loss but also environmental disasters. The goal of this proposal is thus to effectively monitor  subsea infrastructure such as offshore pipelines, and efficiently deliver sensed information in subsea environment. To provide a viable solution, we plan to integrate piezoelectric transducers/actuators designs, acoustic communications, stress wave communications, and hybrid networking, and conduct experiments and field tests to validate the proposed scheme. Such a vision needs efforts from both engineering and scientific perspectives, and questions we seek to answer include: (i) How to utilize piezoelectric transducers for a concurrent execution of stress wave communication (SWC) and structural health monitoring for subsea pipelines. (ii) How to characterize the stress wave propagation and reflection in a pipeline network with multiple segments and joints, and how to conduct communication channel modeling. (iii) How to achieve optimized rates-reliability trade-off via transmitter adaptivity in short range acoustic communications. (iv) How to exploit the subsea infrastructure to form a stress wave assisted hybrid subsea network to improve transmission performance in terms of end-to-end throughput, power efficiency, delay, and so on.

Personnel and Collaborators

Personnel at UH

  • Dr. Miao Pan, PI
  • Dr. Gangbing Song, Co-PI
  • Dr. Jiefu Chen, Co-PI
  • Mr. Chenpei Huang, PhD Student
  • Mr. Debing Wei, PhD Student
  • Ms. Sihong He, PhD Student
  • Ms. Li Yan, PhD Student
  • Mr. Chaoxian Qi, PhD Student
  • Ms. LaShae Clarke, Undergraduate Student (REU)
  • Mr. Nhat Nguyen, Undergraduate Student (REU)

Personnel at UA

  • Dr. Aijun Song, PI
  • Mr. Qiang Fu, PhD Student

Personnel at TSU

  • Dr. Xuemin Chen, PI
  • Ms. Mingchi Zhang, MS Student

Research Progress and Outreach Activities

Research Collaboration and Idea Exchange

Prof. Aijun Song at UA visited UH team and delivered a talk in March 2019.

Collaborative Research Outcomes between UH and UA

  1. Debing Wei, Chaoxian Qi, Jiefu Chen, Aijun Song, Gangbing Song, and Miao Pan, “Pipe Data Through the Water: Stress Wave Communications Along Pipelines”, ACM International Conference on Underwater Networks and Systems (WUWNet’19), Atlanta, GA, October 23-25, 2019.
  2. Qiang Fu, Aijun Song, Qiuyang Tao, Fumin Zhang, and Miao Pan “Virtual MIMO for Multiuser Underwater Acoustic Communication in Moving Platform”, ACM International Conference on Underwater Networks and Systems (WUWNet’19), Atlanta, GA, October 23-25, 2019.

Collaborative Research Outcomes between UH and TSU

  1. Ning Li, Xuemin Chen, and Gangbing Song. “Fatigue Crack Width Detection Based on the Active Sensing Method: A Feasibility Study”, IEEE 16th International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2019.

Publications

  1. Debing Wei, Li Yan, Xuanheng Li, Jie Wang, Jiefu Chen, Miao Pan, and Yahong Rosa Zheng, “Ferrite Assisted Geometry-Conformal Magnetic Induction Antenna and Subsea Communications for AUVs”, IEEE Global Communications Conference (GLOBECOM’18), Abu Dhabi, UAE, December 9-13, 2018.
  2. Debing Wei, Steban Soto, Javier Garcia, Aaron Becker, Li Wang, and Miao Pan, “ROV Assisted Magnetic Induction Communication Field Tests in Underwater Environments”, ACM International Conference on Underwater Networks and Systems (WUWNet’18), Shenzhen, China, December 3-5, 2018.
  3. Debing Wei, Chaoxian Qi, Jiefu Chen, Aijun Song, Gangbing Song, and Miao Pan, “Pipe Data Through the Water: Stress Wave Communications Along Pipelines”, ACM International Conference on Underwater Networks and Systems (WUWNet’19), Atlanta, GA, October 23-25, 2019.
  4. Qiang Fu, Aijun Song, Qiuyang Tao, Fumin Zhang, and Miao Pan “Virtual MIMO for Multiuser Underwater Acoustic Communication in Moving Platform”, ACM International Conference on Underwater Networks and Systems (WUWNet’19), Atlanta, GA, October 23-25, 2019.
  5. Chaoxian Qi, Debing Wei, Miao Pan, and Jiefu Chen, “Underwater Wireless Communication Using Coil-Based Magnetic Induction”, IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting (IEEE AP-S/URSI’20), Montreal, Canada, July 5-10, 2020.
  6. Ning Li, Xuemin Chen, and Gangbing Song. “Fatigue Crack Width Detection Based on the Active Sensing Method: A Feasibility Study”, IEEE 16th International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2019.
  7. Tian Xia and Xuemin Chen. “A Discrete Hidden Markov Model for SMS Spam Detection”, accepted by Applied Sciences.
  8. Sihong He, Ning Wang, Michael Ho, Junxiao Zhu, and Gangbing Song, “Design of a New Stress Wave Communication Method for Underwater Communication”, accepted by IEEE Transactions on Industrial Electronics.
  9. Neil Jerome Egarguin, Daniel Onofrei, Chaoxian Qi, and Jiefu Chen, “Active manipulation of Helmholtz scalar fields: Near field synthesis with directional far field control”, accepted by Inverse Problems.
  10. Neil Jerome Egarguin, Shubin Zeng, Daniel Onofrei, and Jiefu Chen, “Active control of Helmholtz fields in 3D using an array of sources”, accepted by Wave Motion.
  11. Jun Liu, Xinqi Du, Junhong Cui, Miao Pan, and Debing Wei, “Task-oriented Intelligent Networking Architecture for Space-Air-Ground-Aqua Integrated Network”, accepted by IEEE Internet of Things Journal.
  12. Debing Wei, Li Yan, Chenpei Huang, Jie Wang, Jiefu Chen, Miao Pan, and Yuguang Fang, “Dynamic Magnetic Induction Wireless Communications for Autonomous Underwater Vehicle Assisted Underwater IoT”, accepted by IEEE Internet of Things Journal.

Links to Code Repositories

  1. Github Code Links: https://github.com/C3Lab-code/StressWave.git
  2. NSF-PAR ID: 10107518, 10182498