Design method of industrial alarm based on multi-objective optimization and iterative update of evidence
A multi-objective optimization and iterative update technology, applied in the direction of instruments, comprehensive factory control, comprehensive factory control, etc., can solve problems such as the deterioration of alarm performance, reduce the influence of uncertain factors and improve performance indicators
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[0091] The present invention adopts the evidence fusion technology different from the traditional alarm, and uses the heuristic criterion library to update the reliability of the alarm evidence in real time by combining the alarm evidence with uncertainty obtained at the current moment with the global alarm evidence at all previous moments. Use the fusion rules to fuse the alarm evidence, and optimize other related parameters offline, so as to reduce the influence of uncertainty factors on the alarm performance in practice. The flow chart is as follows: figure 1 shown, including the following steps:
[0092] (1) Set the identification frame of the alarm as Θ={NA,A}, where NA=0 indicates that the equipment is in normal operation, and A=1 indicates that the equipment is in abnormal operation.
[0093] (2) Let the input of the alarm be x, where x(t), t=1, 2, 3..., is the online sequence of the sensor monitoring equipment, t is the sampling time, and the number of samples is deter...
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