Bayesian network can effectively deal with uncertain reasoning and realize data statistical analysis, and it has been widely used in current power system research. Because of its strong logic and fast data processing, Bayesian networks have great advantages in solving the faults caused by the uncertainty and relevance of complex systems. The construction and operation and maintenance of the power Internet of Things are faced with various uncertainties. In order to improve the ability of the power Internet of things to deal with various uncertain and unexpected factors, a Bayesian network-based reliability evaluation model of the power Internet of things is established. This model integrates the level indicator reliability requirements of the perception layer, network layer, platform layer and application layer of the power Internet of Things, and establishes a Bayesian network node and network structure containing its threat factors. In addition, the Bayesian probability solution method is used to describe the reliability level, and quantitatively analyze the failure and accident consequences of the power Internet of Things. From this, it is possible to assess the emergency response level of the power Internet of Things to formulate corresponding risk response methods, to curb any power Internet of Things security incidents at the source in the future, and to increase the security construction and operation and maintenance of the power Internet of Things.
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