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Improved scheduling algorithm for signal processing in asynchronous distributed ultrasonic total-focusing-method

Yuzhong Li1,2, Wenming Tang3, Guixiong Liu1

  • 1School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China.

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Summary
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A new asynchronous distributed ultrasonic TFM system and SSPA algorithm enhance multi-group scanning flexibility and efficiency. This system improves image resolution and accuracy for advanced ultrasonic applications.

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Area of Science:

  • Non-destructive testing
  • Ultrasonic imaging
  • Signal processing

Background:

  • Conventional ultrasonic phased-array systems have limitations in image resolution and scanning flexibility.
  • The Total Focusing Method (TFM) offers improved accuracy but requires efficient integration for multi-group scanning.

Purpose of the Study:

  • To propose an asynchronous distributed ultrasonic TFM system architecture for multi-group scan integration.
  • To introduce a novel scheduling algorithm (SSPA) for optimizing ultrasonic scanning processes.

Main Methods:

  • Developed a system architecture with Focus and Group Scheduler (FGS) and Signal Processing Scheduler (SPS).
  • Implemented a Signal Processing Arbitration (SPA) with shared Signal Processing Modules (SPMs).
  • Introduced the Sum of Start Time and Processing Time Adjacent (SSPA) algorithm to solve job-shop scheduling problems.

Main Results:

  • The proposed architecture enhances multi-group scan flexibility and SPM utilization.
  • The SSPA algorithm reduces makespan and improves real-time performance compared to conventional methods.
  • FPGA implementation validated the reliability and effectiveness of the system and algorithm.

Conclusions:

  • The asynchronous distributed ultrasonic TFM system and SSPA algorithm significantly improve efficiency and flexibility in ultrasonic testing.
  • This approach offers considerable potential for multi-sensor systems and advanced non-destructive evaluation.