A data error processing method and device for metal balance
A metal balance and data error technology, applied in the field of smelting, can solve complex problems, the accuracy of metal balance data needs to be improved, and many influencing factors
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Embodiment approach 1
[0106] Embodiment 1: Trying out a first target measurement value, the principle is to adjust only one weight measurement value so that the recovery rate constraint is satisfied to the greatest extent, and the weight measurement value with the smallest constraint residual error is Significant error term.
Embodiment approach 2
[0107] Embodiment 2: try to gather two first target measurement values, the principle is to adjust only the two weight measurement values accordingly, so that the recovery rate constraint is satisfied to the greatest extent, and the two weight measurement values with the smallest constraint residual error are Significant error term.
[0108] For implementation mode one:
[0109] Consider the recovery constraint as:
[0110]
[0111] Then the constrained residual is:
[0112] 10)
[0113] Where p is the number of measured values of the weight to be detected, k (i)(j)It is the coefficient obtained by reducing the recovery rate constraint. When adjusting the measured values of some weights, the constraint residual becomes:
[0114] 11)r new (i) = r (i) +∑k (i)(j) ·Δx (j) ·w m (i)(j) (i=1,2...n);
[0115] where Δx (j) It is the adjustment amount of the jth material weight measurement value.
[0116] When trying to make up a weight measurement, the constr...
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