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Abstract. Power consumption information collection system is an important part of building smart grid. It introduced the composition structure of power consumption information collection system and analyzed its construction status and application requirements at home and abroad. It discussed the massive data processing, the standardization of carrier communication, prepaid control, diversified tariff, information security protection and other key technologies. At last, the proposals were presented to steadily push forward the construction of power consumption information collection system.

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Power terminal is an important part of the power grid, and fault detection of power terminals is essential for the safety of the power grid. Existing fault detection of power terminals is usually based on artificial intelligent or deep learning models in the cloud or edge servers to achieve high accuracy and low latency. However, these methods cannot protect the privacy of the terminals and update the detection model incrementally. A terminal-edge-server collaborative fault detection model based on federated learning is proposed in this study to improve the accuracy of fault detection, reduce the data transmission and protect the privacy of the terminals. The fault detection model is initially trained in the server using historical data and updated using the parameters of local models from edge servers according to different updating strategies, then the parameters will be sent to each edge server and further to all terminals. Each edge server updates the local model via the compressed system log from terminals in its coverage region, and each terminal uses the model to detect fault according to the system behavior in the log. Experiment results show that this fault detection algorithm has high accuracy and low latency, and the accuracy increases with more model updating.

With the spread of computers and Internet of Things, the destructive power of viruses gradually becomes stronger, which threaten the daily life of people. In order to effectively restrain the virus spreading and reduce economic losses, humans need to hold the law and control of the virus distribution. Docker has obtained significant attention as a lightweight virtualization container technology. Compared to traditional virtualization technologies, docker possesses the advantages of fast deployment, low resource consumption, and high migration capability. Given that the differences between various virtualization technologies and combining the characteristics in electric power systems, this paper designs a scheme of the file isolation system based on docker containers. The isolation scheme could reduce the highly dependence on the underlying operating system in the current application deployment of electric power systems and facilitate the security access to the file system between containers.