Mathematical Model Based on BP Neural Network Algorithm for the Deflection Identification of Storage Tank and Calibration of Tank Capacity Chart

Table 3

Calibration results of tank capacity chart of the small deflected elliptic storage tank after the correction of 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	1.03	31	615.49	62	1847.65	93	3118.02
1	3.42	32	650.15	63	1888.48	94	3157.49
2	6.55	33	685.36	64	1929.13	95	3196.50
3	10.57	34	721.10	65	1969.62	96	3235.08
4	15.59	35	757.36	66	2009.97	97	3273.22
5	21.67	36	794.10	67	2050.20	98	3310.96
6	28.92	37	831.32	68	2090.35	99	3348.43
7	37.39	38	868.99	69	2130.48	100	3385.85
8	47.17	39	907.08	70	2170.61	101	3423.58
9	58.30	40	945.60	71	2210.80	102	3462.14
10	70.85	41	984.50	72	2251.08	103	3502.02
11	84.86	42	1023.78	73	2291.50	104	3543.18
12	100.40	43	1063.41	74	2332.10	105	3584.59
13	117.51	44	1103.38	75	2372.89	106	3624.60
14	136.25	45	1143.66	76	2413.88	107	3661.99
15	159.60	46	1184.22	77	2455.08	108	3696.57
16	180.85	47	1225.04	78	2496.49	109	3728.74
17	203.42	48	1266.10	79	2538.10	110	3759.03
18	227.17	49	1307.36	80	2579.86	111	3787.81
19	252.01	50	1348.80	81	2621.76	112	3815.32
20	277.86	51	1390.38	82	2663.74	113	3841.66
21	304.66	52	1432.06	83	2705.77	114	3866.82
22	332.36	53	1473.84	84	2747.80	115	3890.82
23	360.90	54	1515.64	85	2789.78	116	3913.55
24	390.25	55	1557.46	86	2831.66	117	3934.90
25	420.38	56	1599.25	87	2873.39	118	3943.58
26	451.23	57	1640.96	88	2914.91	119	3962.31
27	482.79	58	1682.60	89	2956.19	120	3979.40
28	515.02	59	1724.10	90	2997.17
29	547.90	60	1765.45	91	3037.83
30	581.40	61	1806.64	92	3078.12

Where OH is oil height and TOR is theoretical oil reserve.