МЕТОДОЛОГИЯ ВЫБОРА ТЕХНОЛОГИЧЕСКИХ СХЕМ УГОЛЬНЫХ ШАХТ
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Look Up Table MATLAB, -
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Uniform random number MATLAB
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0,95 – 1,00
0,98 – 1,00 – .
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, :=1 Z Z ;
M=0 Z < Z ,
Z – , .
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SubSystem -
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Statistika 5.0.
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:
1 – , . .;2 – 1 . , .;
81
3 – , . ;4 – , .;
5 – 1 , . ;6 – , . ;7 – , .;
8 – , ;9 – 1 , ./ ;10 – , %;
11 – , . .;12 – , ;
13 – , ;14 – , ;15 – , ;
16 – , ;17 – ,
.;18 – , .;
19 – , ;20 – , ;
21 – , ;22 – , . ;23 – , .
./
=0,873 18 + 0,775 20 – 0,65 12 –1,3 16 – 267,5.
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82
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110 – 200 10 . -
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500 ;
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-500 ;
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« » « » . 1314. ,
– 150 . -
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150 , -
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180 – 280 .
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300 – 350 (« -349 », 3100,
391, 30 ), 350 – 500 (« » 255 295,
PZ850/n N b PZ900/n N»);
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150 ;
83
150 ;
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-- -
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300 – 500 .
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240 |
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230 |
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230 |
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220 |
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215 |
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210 |
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200 |
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201 |
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190 |
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185 |
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180 |
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170 |
168 |
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160 |
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150 |
110 |
120 |
130 |
140 |
150 |
160 |
100 |
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. 13.
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350
300
250
200
150
100 100
308 |
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207 |
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106 |
142 |
110 |
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110 |
120 |
130 |
140 |
150 |
160 |
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. 14.
« »
« » 180, 200, 220, 230, 240, 260 280 . . 15 16.
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84
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: – Q , . ; – |
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180 |
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170 |
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161 |
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168 |
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160 |
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164 |
167.5 |
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150 |
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159 |
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150 |
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140 |
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138 |
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130 |
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120 |
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180 |
200 |
220 |
240 |
260 |
280 |
300 |
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160 |
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. 15. |
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1800 |
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1619 |
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1600 |
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1400 |
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1200 |
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1087 |
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1000 |
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800 |
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711 |
609 |
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600 |
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501 |
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400 |
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329 |
308 |
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200 |
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0 |
160 |
180 |
200 |
220 |
240 |
260 |
280 |
300 |
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. 16. , |
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700 , m= 1,5 , 40% |
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4000 |
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3500 |
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3000 |
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2500 |
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Q , |
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2000 |
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1500 |
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= 1250 |
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1000 |
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500 |
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D= 1222 . |
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D,
. 17.
9 " " " 7
85
N = Q / =1250 / 1222 = 1.023 1,
N – ; Q
– , . ; – -
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N = 1 -
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N . -
Q min = 0,188 + 0,000137 2, |
(85) |
Q min - , . ; –
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N = 0,33 N = 0,54
500 2500 . . , , -
(N min) -
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N min = Q min / = 0,188 +0,000137 . |
(86) |
(85) |
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Q = 0,855 + 0,000137 2 , |
(87) |
Q - , .
. , . 17
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-N < N min
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-N min < N < N ;
- N > N -
« » .
. 17
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(86) (N )
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N = Q / = 0,855 +0,000137 |
(88) |
86
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7 9 « ».
. 18 : – -
Q , . ; – , . .
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Q min = 0,750 + 0,00025 2 , |
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(89) |
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Q = 1,858 + 0,000137 2 , |
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(90) |
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Q min |
– , ; Q |
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(N min) (N ) - |
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N min = Qnmin / = 0,750 + 0,00025 2; |
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(91) |
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N = Qn / = 1,858 + 0,00025 2. |
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(92) |
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7000 |
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6000 |
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5000 |
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Q |
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4000 |
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3000 |
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= 2642 |
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2000 |
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1000 |
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D = 1222 . |
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D, |
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. 18.
9 " " "
. 18, 10002500 .
1< N min < 1,4, – 2,1 < N < 2,5.
,
1< N < 2,5.
, -
87
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, -
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10 – 25
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, -
1 – 2 -
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, -
.
. 19 : – -
, . ; – , . . . -
9
» 7 .
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8000 |
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7000 |
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6000 |
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, |
5000 |
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4000 |
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Q |
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3000 |
= 2642 |
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2000 |
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D = 1222 . |
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1000 |
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D, |
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. 19. |
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9 " " " 7 |
( . . 19)
Q min = 0,002 2; |
(93) |
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Q max = 16,13 + 0,002 2, |
(94) |
Q min, Q max – -
, . .
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N |
min |
min |
/ = 0,002 ; |
(95) |
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= Q |
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max |
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max |
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/ = 16,13 + 0,002 . |
(96) |
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N |
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= Q |
88
, 1000 2500 . . -
2 < N min < 5,
18 < N max < 21. ,
. -
-
(5 – 11 ),
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N = 4 + 0,002 . |
(97) |
1000 2500 6 N 9.
9. -
9.1 -
« ».
« »
. 20-22, . 13-19).
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, " ".
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, -
.
.20.
89
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, -
-
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13.
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1 |
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1 |
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5 15 |
2 |
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2 -100 |
1 |
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6 |
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7 |
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14. |
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1 |
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10 |
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2 |
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15,0-20,0 |
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3 |
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4 |
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15 |
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6 |
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2,9-4,1 |
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8,7-12,2 |
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217,0-306,0 |
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( ), .: |
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10 |
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0,73-1,03 |
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0,54-0,76 |
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8,6-12,7 |
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90