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An Approach to Dynamic Sensing Data Fusion.

Yunfei Yin1,2, Liufa Guan3, Chengen Zheng3

  • 1College of Computer Science, Chongqing University, Chongqing 400044, China. yinyunfei@cqu.edu.cn.

Sensors (Basel, Switzerland)
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Summary

This study introduces a dynamic data acquisition and fusion method for sensor systems. The feedback control approach adapts sensor data collection to environmental changes, improving efficiency.

Keywords:
dynamic acquisitionfeedback controlsensing datasensor device

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Area of Science:

  • Sensor Systems Engineering
  • Data Fusion Technologies
  • Control Systems Theory

Background:

  • Effective sensor system development relies heavily on data collection and fusion.
  • Existing methods may lack adaptability to dynamic environmental conditions.

Purpose of the Study:

  • To propose a dynamic data acquisition and fusion method for sensor systems.
  • To enable sensor systems to adapt to varying environmental conditions through feedback control.

Main Methods:

  • Developed a sensing data acquisition and fusion model utilizing feedback control.
  • Implemented real-time dynamic judgment, acquisition interval decision-making, and adjustment mechanisms.
  • Validated the model on an experimental platform.

Main Results:

  • The proposed model effectively reflects changes in sensing data.
  • Demonstrated significant improvements in data transmission efficiency.
  • Confirmed the sensor system's adaptability to different environments.

Conclusions:

  • The dynamic feedback control method enhances sensor system adaptability.
  • This approach optimizes data acquisition and fusion for improved performance and efficiency.