Tailings safety monitoring method based on evolved neural network
A neural network and safety monitoring technology, applied in the field of tailings safety monitoring based on evolutionary neural network, can solve the problems of unfavorable elimination of danger, short emergency treatment time, etc., and achieve the effect of improving early warning and safety guarantee
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[0037] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0038] Such as figure 1 As shown, a tailings safety monitoring method based on evolutionary neural network includes the following steps:
[0039] Step 1: Obtain historical data and construct a tailings curve model according to the principle of curve modeling;
[0040] The historical data refers to the air temperature, water level, water temperature, slope displacement, dry beach displacement, groundwater seepage pressure, concrete stress and tailings dry beach curve area, volume and shape;
[0041] The tailings curve model refers to x is the abscissa of any point on the dry beach curve, and y is the length of the dry beach corresponding to point x on the dry beach curve; aj is the coefficient obtained by polynomial fitting, the value of j is an integer from 0 to m; the tailings dry beach curve is integrated to obtain the dry beach area;
[0042] St...
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