Research Article
Mathematical Model Based on BP Neural Network Algorithm for the Deflection Identification of Storage Tank and Calibration of Tank Capacity Chart
Table 6
The results of calibration of storage tank with deflection of actual storage tank with correction by BP neural network.
| Site 1 | Site 2 | Site 3 | Site 4 | OH/cm | TOR/L | OH/cm | TOR/L | OH/cm | TOR/L | OH/cm | TOR/L |
| 0 | 264.71 | 80 | 13394.67 | 160 | 35163.23 | 240 | 55909.19 | 10 | 705.23 | 90 | 15892.60 | 170 | 37978.85 | 250 | 58008.41 | 20 | 1703.45 | 100 | 18487.94 | 180 | 40764.00 | 260 | 59932.14 | 30 | 3105.15 | 110 | 21163.01 | 190 | 43501.00 | 270 | 61654.34 | 40 | 4783.19 | 120 | 23900.97 | 200 | 46176.56 | 280 | 63142.53 | 50 | 6682.45 | 130 | 26685.62 | 210 | 48772.32 | 290 | 64351.76 | 60 | 8767.99 | 140 | 29501.21 | 220 | 51271.70 | 300 | 65207.10 | 70 | 11012.99 | 150 | 32332.21 | 230 | 53656.90 | ā | ā |
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Where OH is oil height and TOR is theoretical oil reserve.
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