In order to effectively define the influencing factors of power outage events

improve the accuracy of emergency scenario dynamic deduction models

and avoid the occurrence of power emergencies

a large-scale power outage emergency scenario dynamic deduction model based on improved Bayesian networks is designed.Firstly

five network levels of initial scenario

triggering scenario

outbreak scenario

recovery scenario

and disappearance scenario are analyzed to construct a large-scale power outage scenario network. Then

emergency decision- making subject

object

target

plan

and decision- making environment are considered

the emergency decision-making process of large-scale power outage events is simulated

improved Bayesian networks is used to calculate the probability of movement between multi-level scenario networks

and the dynamic evolution law of events is determined. Finally

based on the input results of large-scale power outage event data

the dynamic inference path and optimal emergency plan including large-scale power outage events are obtained. The experimental results show that after applying the design model

the reduction rate of power outage area is 48.57%

and the actual power outage area of power outage events is significantly reduced. The dynamic deduction process of emergency scenarios has been improved

and the emergency response plan is matched with the actual power outage situation

which can efficiently respond to large-scale power outage events and has high application value.