<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article
PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.4 20190208//EN"
       "JATS-journalpublishing1.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.4" xml:lang="en">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Izvestia Vuzov. Geodesy and Aerophotosurveying</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Izvestia Vuzov. Geodesy and Aerophotosurveying</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Известия высших учебных заведений «Геодезия и аэрофотосъемка»</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">0536-101X</issn>
   <issn publication-format="online">2618-7299</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">6a9c168032807fdbab87637c</article-id>
   <article-id pub-id-type="doi">10.30533/GiA-2026-011</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Оптические и оптико-электронные приборы и комплексы</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>Optical and optoelectronic devices and systems</subject>
    </subj-group>
    <subj-group>
     <subject>Оптические и оптико-электронные приборы и комплексы</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Automatic Calibration of Laser Spectrometer for Gas Monitoring: Tunable Diode Laser Absorption Spectroscopy Based Approach</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Автоматическая калибровка лазерного спектрометра для мониторинга газов: подход на основе диодно-лазерной абсорбционной спектроскопии</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Терин</surname>
       <given-names>Михаил Алексеевич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Terin</surname>
       <given-names>Mihail Alekseevich</given-names>
      </name>
     </name-alternatives>
     <email>kresh80@mail.ru</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Филонов</surname>
       <given-names>Александр Сергеевич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Filonov</surname>
       <given-names>Aleksandr Sergeevich</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Московский государственный университет геодезии и картографии</institution>
     <city xml:lang="ru">Москва</city>
    </aff>
    <aff>
     <institution xml:lang="en">Moscow State University of Geodesy and Cartography</institution>
     <city xml:lang="en">Moscow </city>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2026-02-27T00:00:00+03:00">
    <day>27</day>
    <month>02</month>
    <year>2026</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-27T00:00:00+03:00">
    <day>27</day>
    <month>02</month>
    <year>2026</year>
   </pub-date>
   <volume>70</volume>
   <issue>1</issue>
   <fpage>174</fpage>
   <lpage>183</lpage>
   <history>
    <date date-type="received" iso-8601-date="2025-06-24T00:00:00+03:00">
     <day>24</day>
     <month>06</month>
     <year>2025</year>
    </date>
    <date date-type="accepted" iso-8601-date="2026-02-20T00:00:00+03:00">
     <day>20</day>
     <month>02</month>
     <year>2026</year>
    </date>
   </history>
   <permissions>
    <copyright-statement xml:lang="ru">© 2026 Терин М.А., Филонов А.С.</copyright-statement>
    <copyright-statement xml:lang="en">© 2026 Terin M.A., Filonov A.S.</copyright-statement>
    <copyright-year>2026</copyright-year>
    <copyright-holder xml:lang="ru">Терин Михаил Алексеевич, Филонов Александр Сергеевич</copyright-holder>
    <copyright-holder xml:lang="en">Terin Mihail Alekseevich, Filonov Aleksandr Sergeevich</copyright-holder>
   </permissions>
   <self-uri xlink:href="https://vre.unitech-mo.ru/en/nauka/publications/6a9c168032807fdbab87637c/view">https://vre.unitech-mo.ru/en/nauka/publications/6a9c168032807fdbab87637c/view</self-uri>
   <abstract xml:lang="ru">
    <p>Точность измерений концентрации газов с помощью лазерного спектрометра критически зависит от качества его калибровки. В серийном производстве спектрометров традиционные методы калибровки, требующие участия оператора, приводят к субъективным ошибкам, увеличению времени настройки и нестабильности результатов. В данной работе предложен полностью автоматизированный метод калибровки диодных лазерных абсорбционных спектрометров, исключающий влияние человеческого фактора и обеспечивающий стандартизацию процесса для массового производства. Технология основана на использовании эталонных газовых смесей с точно известными концентрациями, алгоритмов адаптивной настройки лазерных параметров и автоматизированной обработки спектральных данных. Предлагаемый метод автоматической калибровки диодных лазерных абсорбционных спектрометров позволяет стандартизировать процесс для массового производства и повысить надежность измерений для газов CH4, C2H4 и C2H6. Экспериментальная проверка на смесях N₂/CH₄ показала, что данный подход обеспечивает погрешность калибровки не более 2 %, что соответствует требованиям промышленного мониторинга. Применение метода открывает новые возможности для массового производства диодно-лазерных абсорбционных спектрометров. В статье также представлены перспективы развития технологии.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The accuracy of gas concentration measurements using a laser spectrometer critically&#13;
depends on the quality of its calibration. In mass production of spectrometers,&#13;
traditional calibration methods that require operator intervention lead to subjective&#13;
errors, increased setup time, and instability of results. In this paper, a fully automated&#13;
method for calibrating tunable diode laser absorption spectrometers is proposed,&#13;
eliminating the influence of the human factor and ensuring standardization&#13;
of the process for mass production. The method is based on the use of reference gas&#13;
mixtures with precisely known concentrations, algorithms for adaptive adjustment&#13;
of laser parameters, and automated processing of spectral data. The proposed&#13;
method for automatic calibration of tunable diode laser absorption spectrometers&#13;
allows standardizing the process for mass production and increasing the reliability&#13;
of measurements for CH4, C2H4, and C2H6 gases. Experimental testing on N₂/CH₄&#13;
mixtures showed that the proposed approach provides a calibration error of no more&#13;
than 2 %, which meets the requirements of industrial monitoring. The method opens&#13;
up new opportunities for the mass production of diode laser absorption spectrometers.&#13;
The article also presents the prospects for the development of technology.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>диодно-лазерная абсорбционная спектроскопия</kwd>
    <kwd>мониторинг газов</kwd>
    <kwd>лазерная спектроскопия</kwd>
    <kwd>автоматическая калибровка</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>tunable diode laser absorption spectroscopy analysis</kwd>
    <kwd>gas monitoring</kwd>
    <kwd>laser spectroscopy</kwd>
    <kwd>automatic calibration</kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <p></p>
 </body>
 <back>
  <ref-list>
   <ref id="B1">
    <label>1.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Dai J, Luo B, Shen X, et al. A Review of Optical Gas Sensing Technology for Dissolved Gas Analysis in Transformer Oil. Frontiers in Physics. 2025;13: 1547563. DOI:10.3389/fphy.2025.1547563. https://doi.org/10.3389/fphy.2025.1547563</mixed-citation>
     <mixed-citation xml:lang="en">Dai J, Luo B, Shen X, et al. A Review of Optical Gas Sensing Technology for Dissolved Gas Analysis in Transformer Oil. Frontiers in Physics. 2025;13: 1547563. DOI:10.3389/fphy.2025.1547563. https://doi.org/10.3389/fphy.2025.1547563</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B2">
    <label>2.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Gazizov I, Pinto D, Moser H, et al. Absorption and Dispersion: In Search of a Versatile Spectroscopic Technique. Sensors and Actuators B: Chemical. 2025;436: 137688. DOI:10.1016/j.snb.2025.137688. https://doi.org/10.1016/j.snb.2025.137688</mixed-citation>
     <mixed-citation xml:lang="en">Gazizov I, Pinto D, Moser H, et al. Absorption and Dispersion: In Search of a Versatile Spectroscopic Technique. Sensors and Actuators B: Chemical. 2025;436: 137688. DOI:10.1016/j.snb.2025.137688. https://doi.org/10.1016/j.snb.2025.137688</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B3">
    <label>3.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Shen X, Hu L, Gao Y, et al. Monitoring of Multi-component Gas Concentration in Coal Mine Based on TDLAS Technology (Invited). Acta Photonica Sinica. 2024;53(10): 1053410. DOI:10.3788/gzxb20245310.1053410. https://www.researching.cn/articles/OJ372835244cd3ac35</mixed-citation>
     <mixed-citation xml:lang="en">Shen X, Hu L, Gao Y, et al. Monitoring of Multi-component Gas Concentration in Coal Mine Based on TDLAS Technology (Invited). Acta Photonica Sinica. 2024;53(10): 1053410. DOI:10.3788/gzxb20245310.1053410. https://www.researching.cn/articles/OJ372835244cd3ac35</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B4">
    <label>4.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Zhang Y, Shao L, Feng S, et al. Development of Field-Deployable TDLAS Analyzer for High Precision Measurements of CO₂ and H₂O Flux. Measurement. 2026;266: 120516. DOI:10.1016/j.measurement.2026.120516. https://doi.org/10.1016/j.measurement.2026.120516</mixed-citation>
     <mixed-citation xml:lang="en">Zhang Y, Shao L, Feng S, et al. Development of Field-Deployable TDLAS Analyzer for High Precision Measurements of CO₂ and H₂O Flux. Measurement. 2026;266: 120516. DOI:10.1016/j.measurement.2026.120516. https://doi.org/10.1016/j.measurement.2026.120516</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B5">
    <label>5.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Wang WF, Yang B, Liu HF, et al. A Multiline Fitting Method for Measuring Ethylene Concentration Based on WMS-2f/1f. Scientific Reports. 2023;13: 15302. DOI:10.1038/s41598-023-42398-2. https://doi.org/10.1038/s41598-023-42398-2</mixed-citation>
     <mixed-citation xml:lang="en">Wang WF, Yang B, Liu HF, et al. A Multiline Fitting Method for Measuring Ethylene Concentration Based on WMS-2f/1f. Scientific Reports. 2023;13: 15302. DOI:10.1038/s41598-023-42398-2. https://doi.org/10.1038/s41598-023-42398-2</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B6">
    <label>6.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Ji W, Lü X, Hu W, et al. Application of TDLAS Technology to Multicomponent Detection in Olefin Production Process. Optics and Precision Engineering. 2018;26(8): 1837–1845. DOI:10.3788/OPE.20182608.1837. https://ope.lightpublishing.cn/en/article/doi/10.3788/OPE.20182608.1837</mixed-citation>
     <mixed-citation xml:lang="en">Ji W, Lü X, Hu W, et al. Application of TDLAS Technology to Multicomponent Detection in Olefin Production Process. Optics and Precision Engineering. 2018;26(8): 1837–1845. DOI:10.3788/OPE.20182608.1837. https://ope.lightpublishing.cn/en/article/doi/10.3788/OPE.20182608.1837</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B7">
    <label>7.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Wang L, Zhang T, Zhou Y, et al. Cross-Interference Correction for Multi-gas TDLAS Detection. Proceedings of SPIE – Advanced Fiber Laser Conference (AFL2023). Vol. 13104. Shenzhen, China, 2024. P. 131042P. DOI:10.1117/12.3023160. https://doi.org/10.1117/12.3023160</mixed-citation>
     <mixed-citation xml:lang="en">Wang L, Zhang T, Zhou Y, et al. Cross-Interference Correction for Multi-gas TDLAS Detection. Proceedings of SPIE – Advanced Fiber Laser Conference (AFL2023). Vol. 13104. Shenzhen, China, 2024. P. 131042P. DOI:10.1117/12.3023160. https://doi.org/10.1117/12.3023160</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B8">
    <label>8.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Zhang J, Zhu Y, Chen JQ, et al. Study on Online Self-Calibration Technique for Trace Gas Analyzer Based on Tunable Diode Laser Absorption Spectroscopy. Spectroscopy and Spectral Analysis. 2010;30(4): 1030–1034. DOI:10.3964/j.issn.1000-0593(2010)04-1030-05. https://m.researching.cn/articles/OJ82614f9d7afe47ac</mixed-citation>
     <mixed-citation xml:lang="en">Zhang J, Zhu Y, Chen JQ, et al. Study on Online Self-Calibration Technique for Trace Gas Analyzer Based on Tunable Diode Laser Absorption Spectroscopy. Spectroscopy and Spectral Analysis. 2010;30(4): 1030–1034. DOI:10.3964/j.issn.1000-0593(2010)04-1030-05. https://m.researching.cn/articles/OJ82614f9d7afe47ac</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B9">
    <label>9.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Wang W, Wang Z, Chao X. Gaussian Process Regression for Direct Laser Absorption Spectroscopy in Complex Combustion Environments. Optics Express. 2021;29(12): 17926–17939. DOI:10.1364/OE.425662. https://doi.org/10.1364/OE.425662</mixed-citation>
     <mixed-citation xml:lang="en">Wang W, Wang Z, Chao X. Gaussian Process Regression for Direct Laser Absorption Spectroscopy in Complex Combustion Environments. Optics Express. 2021;29(12): 17926–17939. DOI:10.1364/OE.425662. https://doi.org/10.1364/OE.425662</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B10">
    <label>10.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Wang YS, Chen SX, Kong QM, et al. Research on CO Concentration Detection Based on Deep Learning and TDLAS Technology. Optics and Lasers in Engineering. 2024;181: 108420. DOI:10.1016/j.optlaseng.2024.108420. https://doi.org/10.1016/j.optlaseng.2024.108420</mixed-citation>
     <mixed-citation xml:lang="en">Wang YS, Chen SX, Kong QM, et al. Research on CO Concentration Detection Based on Deep Learning and TDLAS Technology. Optics and Lasers in Engineering. 2024;181: 108420. DOI:10.1016/j.optlaseng.2024.108420. https://doi.org/10.1016/j.optlaseng.2024.108420</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B11">
    <label>11.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Li H, Ren T, Zhao C. A Physics-Informed Neural Network for Non-Linear Laser Absorption Tomography. Journal of Quantitative Spectroscopy and Radiative Transfer. 2025;330: 109229. DOI:10.1016/j.jqsrt.2024.109229. https://doi.org/10.1016/j.jqsrt.2024.109229</mixed-citation>
     <mixed-citation xml:lang="en">Li H, Ren T, Zhao C. A Physics-Informed Neural Network for Non-Linear Laser Absorption Tomography. Journal of Quantitative Spectroscopy and Radiative Transfer. 2025;330: 109229. DOI:10.1016/j.jqsrt.2024.109229. https://doi.org/10.1016/j.jqsrt.2024.109229</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B12">
    <label>12.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Wang R, Yu P, Huang T, et al. Measurement of Engine Exhaust Plume Temperature and Concentration Distributions with Tomographic Absorption Spectroscopy and Learning-Based Absorbance Recovery. Fuel. 2024;377: 132775. DOI:10.1016/j.fuel.2024.132775. https://doi.org/10.1016/j.fuel.2024.132775</mixed-citation>
     <mixed-citation xml:lang="en">Wang R, Yu P, Huang T, et al. Measurement of Engine Exhaust Plume Temperature and Concentration Distributions with Tomographic Absorption Spectroscopy and Learning-Based Absorbance Recovery. Fuel. 2024;377: 132775. DOI:10.1016/j.fuel.2024.132775. https://doi.org/10.1016/j.fuel.2024.132775</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B13">
    <label>13.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Tu R, Gu J, Zeng Y, et al. Development and Validation of a Tunable Diode Laser Absorption Spectroscopy System for Hot Gas Flow and Small-Scale Flame Measurement. Sensors. 2022;22(17): 6707. DOI:10.3390/s22176707. https://doi.org/10.3390/s22176707</mixed-citation>
     <mixed-citation xml:lang="en">Tu R, Gu J, Zeng Y, et al. Development and Validation of a Tunable Diode Laser Absorption Spectroscopy System for Hot Gas Flow and Small-Scale Flame Measurement. Sensors. 2022;22(17): 6707. DOI:10.3390/s22176707. https://doi.org/10.3390/s22176707</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B14">
    <label>14.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Chen Y, Wang Z, Li Z, et al. Development of an Online Detection Setup for Dissolved Gas in Transformer Insulating Oil. Applied Sciences. 2021;11(24): 12149. DOI:10.3390/app11241249. https://doi.org/10.3390/app112412149</mixed-citation>
     <mixed-citation xml:lang="en">Chen Y, Wang Z, Li Z, et al. Development of an Online Detection Setup for Dissolved Gas in Transformer Insulating Oil. Applied Sciences. 2021;11(24): 12149. DOI:10.3390/app11241249. https://doi.org/10.3390/app112412149</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B15">
    <label>15.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Lu J, Shen C, Zhou Z, et al. A Calibration-Free, Non-Invasive, and Accurate Total Viable Count Detection Method Based on Tunable Diode Laser Absorption Spectroscopy Combined with Most Probable Number Counting. Optics and Lasers in Engineering. 2024;173: 107899. DOI:10.1016/j.optlaseng.2023.107899. https://doi.org/10.1016/j.optlaseng.2023.107899</mixed-citation>
     <mixed-citation xml:lang="en">Lu J, Shen C, Zhou Z, et al. A Calibration-Free, Non-Invasive, and Accurate Total Viable Count Detection Method Based on Tunable Diode Laser Absorption Spectroscopy Combined with Most Probable Number Counting. Optics and Lasers in Engineering. 2024;173: 107899. DOI:10.1016/j.optlaseng.2023.107899. https://doi.org/10.1016/j.optlaseng.2023.107899</mixed-citation>
    </citation-alternatives>
   </ref>
  </ref-list>
 </back>
</article>
