Infrared and Laser Engineering, Volume. 52, Issue 11, 20230103(2023)
A fast method for predicting transient temperature field of ground target based on limited measuring point data
Fig. 2. Data processing flow diagram (square cavity temperature field)
Fig. 4. (a) Diagram of square cavity with background temperature;(b) Diagram of square cavity removed background temperature
Fig. 6. (a) Energy contribution rate of the first 20 POD modes of square cavity;(b) Cumulative energy contribution rate of the first 20 POD modes of square cavity
Fig. 7. (a) Original temperature field of square cavity at all times;(b) Temperature field of square cavity predicted by 16 POD modes;(c) Temperature field of square cavity predicted by 30 POD modes
Fig. 8. Comparison of temperature field prediction errors with different sensors
Fig. 9. (a) Square cavity sensor distribution at 12:00 on July 7th; (b) Temperature field of square cavity predicted by POD mode; (c) Temperature field of square cavity predicted by sensors
Fig. 10. (a) Square cavity sensor distribution at 12:00 on July 8th; (b) Temperature field of square cavity predicted by POD mode; (c) Temperature field of square cavity predicted by sensors
Fig. 11. (a) Schematic diagram of typical positions on the surface of square cavity;(b) Typical position 1;(c) Typical position 2;(d) Typical position 3
Fig. 12. (a) Diagram of the tank geometry model with heat producer; (b) Schematic diagram of the tank grid with heat producer
Fig. 14. (a) Energy contribution rate of the first 20 POD modes of 24 trains of tank model;(b) Cumulative energy contribution rate of the first 20 POD modes of 24 trains of tank model;(c) Energy contribution rate of the first 20 POD modes of 48 trains of tank model;(d) Cumulative energy contribution rate of the first 20 POD modes of 48 trains of tank model
Fig. 15. (a) Original temperature field of tank at all times;(b) Temperature field of 24 trains of tank predicted by 20 POD modes;(c) Temperature field of 48 trains of tank predicted by 20 POD modes
Fig. 16. (a) Sensor temperature field distribution of 24 trains of tank at 13:00 on April 10th;(b) Temperature field predicted result by 24 trains of tank;(c) Sensor temperature field distribution of 48 trains of tank at 13:00 on April 10th;(d) Temperature field predicted result by 48 trains of tank
Fig. 17. (a) Sensor temperature field distribution of 24 trains of tank at 20:00 on April 10th;(b) Temperature field predicted result by 24 trains of tank;(c) Sensor temperature field distribution of 48 trains of tank at 20:00 on April 10th;(d) Temperature field predicted result by 48 trains of tank
Fig. 18. (a) Schematic diagram of typical positions on the surface of tank;(b) Typical position 1;(c) Typical position 2
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Ying Chen, Dengfeng Ren, Yuge Han. A fast method for predicting transient temperature field of ground target based on limited measuring point data[J]. Infrared and Laser Engineering, 2023, 52(11): 20230103
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Received: Feb. 28, 2023
Accepted: --
Published Online: Jan. 8, 2024
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