Electrical operation safety protection control method based on real-time data flow

Abstract

The invention relates to the technical field of electrical operation safety monitoring, in particular to an electrical operation safety protection control method based on real-time data flow, which comprises the following steps: acquiring electrical parameters, environmental parameters and behavior parameters in real time through a distributed sensor network, and carrying out denoising, filtering and standardization processing; a Bayesian network is adopted to construct a multi-dimensional safety state feature set, a support vector machine algorithm is utilized to construct a risk assessment model, dynamic prediction of an electrical working environment risk level is realized, a risk prediction result is combined, a decision tree algorithm is adopted to generate a protection control strategy, and meanwhile, the protection control strategy is used for protecting the electrical working environment. Real-time data streams, risk assessment results and protection control strategies are stored in a database, historical data are analyzed by using a clustering algorithm, high-risk scenes and key features thereof are mined, and support is provided for protection strategy optimization and system adaptability improvement; according to the invention, the safety, the real-time performance and the intelligent level of electrical operation can be effectively improved, and the method has a wide application value.

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