NUCLEAR TECHNIQUES, Volume. 46, Issue 12, 120501(2023)
A neural network-based method for measuring the activity of waste drum
Figures & Tables(24)
Fig. 1. Schematic diagram of point source equivalent to ring source
Fig. 5. Detection efficiency of point sources at different angles when step is 20°
Fig. 7. Results of count rate (a) Interpolation, (b) Numeral calculation
Fig. 11. Process diagram of activity reconstruction of waste drum based on neural network
Fig. 14. Reconstructed value of total activity from multiple sources
Fig. 15. Activity reconstruction value of SGS (a) Single source, (b) Multi-sources
Fig. 17. Activity reconstruction results of TGS (a) Single source, (b) Multi-sources
Fig. 18. Activity reconstruction results of STGS (a) Single source, (b) Multi-sources
Table 1. Probe size parameters
View tableView in ArticleTable 1. Probe size parameters
部件Component 尺寸Size / cm 晶体直径Crystal diameter 6.09 晶体长度Crystal length 5.18 冷指直径Cold finger diameter 0.87 冷指长度Cold finger length 3.82 死层厚度Dead layer thickness 0.07 真空层厚度Vacuum layer thickness 0.50 铝壳厚度Aluminum shell thickness 0.15
Table 2. Relative error at different steps (%)
View tableView in ArticleTable 2. Relative error at different steps (%)
半径
Radius / cm
步长Step / (°) 2 4 5 10 20 5 -0.47 -0.15 -1.02 0.02 -0.16 15 -1.79 -0.22 -2.56 -1.97 -2.25 30 0.48 -0.65 -1.22 -1.17 -0.69
Table 3. Count rate for detectors at different measurement positions
View tableView in ArticleTable 3. Count rate for detectors at different measurement positions
半径
Radius
/ cm
偏移距离
Offset distance / cm
0 7 14 21 28 0 54.74 54.50 54.00 51.72 33.58 5 63.65 63.28 61.97 57.74 36.18 10 95.99 95.34 92.95 76.56 49.57 15 170.81 169.55 156.23 121.93 84.92 20 327.88 317.73 269.54 214.53 157.80 25 689.21 632.38 526.52 411.81 332.97 30 1 427.17 1 352.02 1 164.03 864.96 763.96 35 2 843.78 2 754.52 2 935.31 2 103.79 1 936.98
Table 4. Relative error of count rate between interpolation and numerical calculation (%)
View tableView in ArticleTable 4. Relative error of count rate between interpolation and numerical calculation (%)
半径
Radius / cm
偏移距离Offset distance / cm 0 7 14 21 28 2.5 1.37 1.37 1.22 0.48 0.46 7.5 -2.15 -2.29 -2.33 -3.06 -2.39 12.5 1.70 1.42 2.28 2.39 3.39 17.5 -0.88 -0.60 -1.88 0.75 -0.53 22.5 -0.76 -1.40 0.34 1.61 1.95 27.5 -0.54 -0.14 -3.59 -2.49 -3.14 32.5 5.75 3.24 6.66 7.34 7.60
Table 5. Activity reconstruction results of single source
View tableView in ArticleTable 5. Activity reconstruction results of single source
NGS SGS STGS-3 STGS-5 TGS-60 误差Error / % 平均值Average 4.26 68.15 44.53 22.73 3.97 最大值Maximum 12.63 114.54 689.46 251.83 16.02 标准差Standard deviation 5.33 75.32 141.67 48.44 4.97
Table 6. Activity reconstruction results of multi-source
View tableView in ArticleTable 6. Activity reconstruction results of multi-source
NGS SGS STGS-3 STGS-5 TGS-60 误差Error / % 平均值Average 24.27 48.02 46.07 8.95 28.61 最大值Maximum 42.41 86.96 133.28 23.14 80.63 标准差Standard deviation 27.97 53.71 71.54 31.53 56.38
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Minxiang SHU, Chenyu SHAN, Weiguo GU, Dezhong WANG. A neural network-based method for measuring the activity of waste drum[J]. NUCLEAR TECHNIQUES, 2023, 46(12): 120501
Paper Information
Category: Research Articles
Received: Jun. 13, 2023
Accepted: --
Published Online: Mar. 7, 2024
The Author Email: Dezhong WANG (王德忠)
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