Risk trend deduction and grading early warning method based on online monitoring data
A technology for monitoring data and trends, which is applied in the field of risk trend deduction and hierarchical early warning based on online monitoring data, which can solve problems such as enterprise losses, inability to control the speed of prevention and control measures, and inability to judge risk development trends, etc., to achieve the effect of avoiding accidents
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[0018] The technical solutions of the present invention will be described in further detail below through specific implementation methods.
[0019] Such as figure 1 As shown, a risk trend deduction and hierarchical early warning method based on online monitoring data includes the following steps:
[0020] When the online monitoring data is greater than the first-level alarm threshold, query the historical monitoring data, identify and obtain the (n-1) wave peaks closest to the online monitoring data, and form a reference number set (t 1 ,y 1 ), (t 2 ,y 2 ), (t 3 ,y 3 )...(t n ,y n );
[0021] Among them, y 1 is the online monitoring data, t 1 is the monitoring time corresponding to the online monitoring data, y 2 is the first wave peak closest to the online monitoring data, t 2 is the monitoring time corresponding to the first peak value; y i is the i-1th peak value closest to the online monitoring data, t i is the monitoring time corresponding to the i-1th peak ...
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