Design of MEMS Microphone Array Integrated System for Pipeline Leakage Detection

Area of Science:

• Engineering
• Sensor Technology
• Acoustics

Background:

• Pressure pipelines are critical infrastructure in energy and transportation.
• Pipeline leaks pose significant safety and operational risks.
• Existing acoustic detection methods struggle with noise and minor leak uncertainties.

Purpose of the Study:

• To develop an integrated system for accurate and reliable pipeline leakage detection.
• To overcome limitations of current acoustic sensing technologies in pipeline environments.
• To enhance the safety and stability of pipeline transportation systems.

Main Methods:

• Design and implementation of a dedicated micro-electromechanical system (MEMS) microphone array.
• Development of integrated feature extraction and feature-level data fusion modules.
• Incorporation of a decision-level fusion module to enhance detection reliability.

Main Results:

• The proposed MEMS microphone array integrated system (MEMS-MAIS) demonstrates high sensitivity acoustic data collection.
• Effective information retention through integrated feature extraction and fusion.
• Achieved a leakage detection accuracy of 94.67% with excellent anti-interference performance.

Conclusions:

• The MEMS-MAIS provides a robust and accurate solution for pipeline leakage detection.
• The integrated system design offers high engineering application value for pipeline safety.
• This technology enhances the reliability of non-destructive leakage detection in harsh conditions.