Research on State Perception Method of Power Grid Video Monitoring Equipment under the ubiquitous Power Internet of Things
With the deepening integration between traditional power grids and information technology,the security vulnerabilities of power grid video monitoring equipment have become an undeniable risk.Therefore,a state perception method for power grid video monitoring equipment under the ubiquitous power Internet of Things is designed.Design an ubiquitous power Internet of Things(IoT)for power grid video monitoring equipment state perception,to achieve the construction of a state aware network architecture and the collection of physical state data and network operation state data of monitoring equipment.Due to the fact that the collected network operation status data often contains a lot of noise,a denoising method based on probability undirected graph is used to denoise it.The ER reasoning algorithm is used to analyze the system internal events of power grid video monitoring equipment.Based on the state per-ception ubiquitous power Internet of Things,the observation equation is obtained by using multiple security factors integrating the in-ternal environment,the maximum likelihood function is constructed,and its parameter solution is implemented to obtain the security perception state of power grid video monitoring equipment.The test results show that the method has low leakage and false detection rates in network security states under different intrusion conditions.
ubiquitous power IoTCo AP communication protocolpower grid video monitoring equipmentER inference algo-rithmstate perception
万方数据
维普
