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Updated: Sep 16, 2025

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A high-precision 1 × 15 infrared temperature measurement linear array based on thermopile sensors
Jindong Bai1,2, Wenhang Yang1,2,3, Shouzheng Zhu1,3
1Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
Communications Engineering
|July 7, 2025
Summary
This study introduces a novel, low-power, noncontact temperature measurement system for semiconductor manufacturing. The thermopile sensor array achieves high precision, with accuracy reaching 26 mK.
Area of Science:
- * Materials Science and Engineering
- * Electrical Engineering
- * Metrology
Background:
- * Precise temperature measurement is critical in semiconductor manufacturing and calibration.
- * Existing methods often face limitations in power consumption and accuracy.
- * Noncontact temperature sensing offers advantages for sensitive processes.
Purpose of the Study:
- * To develop a novel noncontact temperature measurement method with low power consumption and high precision.
- * To utilize a thermopile sensor-based linear array for surface temperature measurements.
- * To enhance accuracy and stability in temperature monitoring for semiconductor applications.
Main Methods:
- * A linear array of 15 thermopile sensors and an NTC thermistor.
- * An FPGA control board with a fiber optic interface and motion module.
- * Implementation of a multiparameter temperature compensation algorithm for sensor error correction.
Main Results:
- * Achieved a temperature measurement accuracy of 26 mK in the 293-303 K range.
- * Demonstrated maximum sensor repeatability error below 5.5 mK.
- * Exhibited non-uniformity error between sensors less than 11.9 mK.
- * Verified high stability over 6 hours of testing with accuracy reduction not exceeding 1.5 mK.
Conclusions:
- * The proposed thermopile sensor array provides a highly accurate and stable noncontact temperature measurement solution.
- * Low power consumption (<1.5 W) makes it suitable for energy-sensitive semiconductor applications.
- * The multiparameter compensation algorithm effectively addresses sensor inconsistencies, outperforming traditional calibration methods.
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