Evaluating efficiency of foreign object detection technology based on the use of passive infrared thermography

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Abstract

A new method for detecting subsurface solid objects buried in farmlands, such as plastic bottles, wasted cans, etc., has been proposed by applying the technique of infrared (IR) thermography to monitor the temperature of soil surface subjected to solar irradiation. Through both experimentation and simulation, this study parameterizes the influence of environmental factors on IR images and validates the detection capabilities of the method. To verify the feasibility of IR thermography testing, the experimental section of the work is devoted to monitoring aluminum and polyethylene terephthalate cans buried in sand with varying grades of moisture. The dependencies between the efficiency of foreign object detection and their depth are derived. A restoring pseudothermal flux algorithm was used to reduce the impact of lateral diffusion on IR thermographic detection of foreign objects buried in soil. Variations of soil temperature caused by varying solar radiation during multiple day-night cycles are used to improve the detectable diameter-depth ratio. The described technique is efficient and provides no harm to human beings.

About the authors

Hao Yang

Hunan institute of engineering construction project academy

Email: xianglongliu@163.net
China, 418000, Xiangtan, Hunan

Yan Yan

Hunan institute of engineering construction project academy

Email: xianglongliu@163.net
China, 418000, Xiangtan, Hunan

Xianglong Liu

Hunan institute of engineering construction project academy

Email: xianglongliu@163.net
China, 418000, Xiangtan, Hunan

Hongjin Wang

Hunan University

Email: hongjinwang2017@outlook.com

College of electrical and Information engineering

China, 410082, Changsha

Yuejun Hou

Ming Yang Smart Energy Group Limited

Email: xianglongliu@163.net
China, 528400, Guangdong, Zhongshan

V. P. Vavilov

Tomsk Polytechnic University

Author for correspondence.
Email: vavilov@tpu.ru

Institute of nondestructive testing

Russian Federation, 634028, Tomsk, Savinykh St., 7

References

  1. Li C., Hu X., Zhong C., Zeng, Shen H. Solid waste detection in cities using remote sensing imagery based on a location-guided key point network with multiple enhancements // IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023. V. 16. P. 191—201.
  2. Nishar A., Richards S., Breen D., Robertson J., Breen B. Thermal infrared imaging of geothermal environments and by an unmanned aerial vehicle (UAV): A case study of the Wairakei — Tauhara geothermal field, Taupo, New Zealand // Renewable Energy. 2016. V. 86. P. 1256—1264. doi: 10.1139/juvs-2015-0030
  3. ElMasry G., ElGamal R., Mandour N., Gou P., Al-Rejaie S., Etienne B., Rousseau D. Emerging thermal imaging techniques for seed quality evaluation: Principles and applications // Food Research International. 2020. V. 131. P. 109025. doi: 10.1016/j.foodres.2020.109025
  4. Kalogirou S.A, Florides G.A. Measurements of ground temperature at various depths / Proc. 3rd International Conference on Sustainable Energy Technologies. 2004. Nottingham, U.K. P. 1—6.
  5. Jinmin Dai, Zijun Wang. Infrared thermography non-destructive testing technology and its applications // Techniques of Automation and Applications. 2007. V. 26 (1). P. 10—16.
  6. Deans J., Schmithals G., Carter L.J. An analysis of a thermal imaging method for landmine detection using microwave heating // J. Appl. Geophys. 2001. V. 47 (2). P. 123—133. doi: 10.1016/S0926-9851(01)00052-0
  7. Yali Wang. The invention relates to an imaging performance deduction method for infrared detection // China Science and Technology Information. 2024. No. 6. P. 121—124.
  8. Pracht M., Świderski W. Analysis of the possibility of non-destructive testing to detect defects in multi-layered composites reinforced fibers by optical IR thermography // Composite Structures. 2019. V. 213. P. 204—208.
  9. Mix P.E. Introduction to nondestructive testing: a training guide. John Wiley & Sons. June 2005.
  10. Loganathan T.M., Sultan M.T.H, Muhammad Amir S.M., Jamil J., Yusof M.R., Md Shakh A.U. Infrared thermographic and ultrasonic inspection of randomly-oriented short-natural fiber-reinforced polymeric composites // Frontiers in Materials. 2021. No. 7. P. 604459.
  11. Hongjin Wang, Sheng-Jen Hsieh, Xunfei Zhou, Bo Peng. Restored pseudo heat flux (RPHF) algorithm for carbon fibre composite defect detection using thermography under uneven heating // Quantit. InfraRed Thermogr. J. Dec. 2017. V. 15 (4). P. 1—15. doi: 10.1080/17686733.2017.1417807
  12. Wang H., Wang N., He Z., He Y. Phase-locked restored pseudo heat flux thermography for detecting delamination inside carbon fiber reinforced composites // IEEE Trans. Ind. Informat. May 2018. V. 15. No. 5. P. 2938—2946.
  13. He Z., Wang H., Li Y., Zhang Z., Zhang Y., Bi H., He Y. A deconvolutional reconstruction method based on Lucy–Richardson algorithm for joint scanning laser thermography // IEEE Transactions on Instrumentation and Measurement. 2020. V. 70. P. 1—8.
  14. Hongjin Wang, Yuejun Hou, Yunze He, Can Wen. A Physical-constrained decomposition method of infrared thermography: Pseudo restored heat flux approach based on Ensemble Bayesian Variance Tensor Fraction // In IEEE Transactions on Industrial Informatics. March 2024. V. 20. No. 3. P. 3413—3424. doi: 10.1109/TII.2023.3293863
  15. Yunze He, Xinying Mu, Jiarong Wu, Yue Ma, Ruizhen Yang, Hong Zhang, Pan Wang, Hongjin Wang, Yaonan Wang. Intelligent detection algorithm based on 2D/3D-UNet for internal defects of carbon fiber composites // Nondestructive Testing and Evaluation. 2024. V. 39 (4). P. 923—938. doi: 10.1080/10589759.2023.2234548
  16. Hongjin Wang, Hsieh S.J. Solving the inverse heat conduction problem in using long square pulse thermography to estimate coating thickness by using svr models based on restored pseudo heat flux (rphf) in-plane profile // J. Nondestr. Eval. 2018. V. 37 (4).
  17. Strąg M., Świderski W. Non-destructive inspection of military-designated composite materials with the use of Terahertz imaging // Composite Structures. 2023. V. 306. P. 116588.
  18. Nüßler D., Jonuscheit J. Terahertz based non-destructive testing (NDT). Making the invisible visible // tm-Technisches Messen. 2021. V. 88 (4). P. 199—210. DOI: https://doi.org/10.1515/teme-2019-0100
  19. Vavilov V.P., Burleigh D.D., Demin V.G. Advanced modeling of thermal NDT problems: from buried landmines to defects in composites / Proc. SPIE “Thermosense XXIV”. V. 4710. P. 507—521.
  20. Vavilov V.P., Burleigh D. Infrared Thermography and Thermal Nondesrtuctive Testing. Switzerland: Springer Nature, 2020. 595 p.
  21. Florides G., Kalogirou S. Annual ground temperature measurements at various depths, Environm. Science. Physics. 2005. https://api.semanticscholar.org/CorpusID:92914544
  22. Pręgowski P., Świderski W., Walczak R.T., Lamorski K. Buried mine and soil temperature prediction by numerical mode / Proc. SPIE. Aug. 2000. V. 4038. P. 1—6. doi: 10.1117/12.396227
  23. Yan Duan, Hua Jin, Qiang Zhen. Testing study on moisture content effect on thermal conductivity for clay and sand // Yellow river. 2016. V. 38 (02). P. 114—120 (in Chinese).
  24. Guozeng Liu, Weicheng Gao, Wei Liu, Xionghui Zou, Jiangxun Xu, Tao Liu. Debonds and water-filled defects detection in honeycomb sandwich composites based on pulse infrared thermography NDT technique // Rus. J. Nondestr. Test. 2023. V. 59. P. 583—591. doi: 10.1134/s1061830923600089
  25. Zorin A.E., Krasnenkov V.I. Diagnostic Microlab-Z2 complex for nondestructive evaluation of structural and deformation parameters of metal constructions // Rus. J. Nondestr. Test. 2024. V. 60. P. 75—84. doi: 10.1134/S1061830923601447.
  26. Rongxin Sun, Cong Liu, Wei Li, Feng Yang, Peng Jiang. Characterization of crack damages in composite materials by using frequency- and time-domain analysis // Rus. J. Nondestr. Test. 2024. V. 60. P. 22—34. https://doi.org/10.1134/s1061830923600582

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