A method for evaluating the hazards of particulate matter emissions from diesel engines
An evaluation method and technology of particulate matter, applied in computer parts, computer-aided medical procedures, instruments, etc.
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Embodiment 1
[0046] Embodiment 1: the index that proposes criterion layer is now: respiratory system and immune system; The index of program layer is: PM 10 , PM 2.5 and PM 0.1 , to establish a criterion judgment matrix: Scheme judgment matrix: Each judgment matrix is a combined judgment matrix (obtained by geometric mean) after several expert judgments. Calculate the largest eigenvalues and corresponding eigenvectors of the three judgment matrices respectively: 2.000, 3.087, 3.036; (0.250 0.750) T ,(0.0960.284 0.619) T ,(0.106 0.634 0.261) T . check its consistency All ≤0.10. PM can be obtained 10 , PM 2.5 and PM 0.1 The weight values for human hazards are: 0.103, 0.545, 0.351. PM emissions from 3 diesel engines A, B and C have been measured 10 , PM 2.5 and PM 0.1 The particle number concentration is: 85 · cm -3 , 231 cm -3 , 684 cm -3 ; 106 pcs cm -3 , 224 cm -3 , 670 cm -3 and 97 cm -3 , 203 cm -3 , 700 pcs.cm -3 . Then the analysis index of the princip...
Embodiment 2
[0047] Embodiment 2: the index that proposes criterion layer is now: respiratory system, immune system and nervous system; The index of scheme layer is: PM 10 , PM 2.5 and PM 0.1 , to establish a criterion judgment matrix: Scheme judgment matrix: Calculate the largest eigenvalues of the four judgment matrices: 3.009, 3.081, 3.054, 3.029; and the eigenvectors corresponding to the four largest eigenvalues: (0.164 0.297 0.539) T , (0.057 0.6490.295) T , (0.525 0.334 0.142) T , (0.071 0.180 0.748) T . check its consistency All ≤0.10. PM can be obtained 10 , PM 2.5 and PM 0.1 The weight values for human hazards are: 0.204, 0.303, 0.493. PM emissions from diesel engines A, B and C have been measured 10 , PM 2.5 and PM 0.1 The particle number concentration is: 69·cm -3 , 315 cm -3 , 758 cm -3 ; 109 pcs cm -3 , 258 cm -3 , 684 cm -3 ;87 cm -3 , 294 cm -3 , 712 cm -3 . Then the analysis index of the principal component analysis model is the product of ...
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