Equipment security level classification method

Abstract

The invention discloses an equipment security level classification method, which comprises the steps of training a security classification model, predicting an equipment security level in real time and the like, wherein the step of training the security classification model comprises the following steps of establishing an equipment security level library, selecting training data, extracting security features, carrying out sample SMOTE (Synthetic Minority Oversampling Technique) sampling, carrying out data preprocessing, and training a security level multi-classifier; and the step of predicting the equipment security level in real time comprises the steps of obtaining real-time data, extracting the security features, carrying out the data preprocessing, and predicting the security level. Through a multi-sampling technology, sample distribution is improved, a classification sample imbalance problem is solved, a sample imbalance rate is lowered, improvement is carried out on a data processing level, a data imbalance rate is lowered, and the advantage of a support vector machine model is performed.

Description

technical field [0001] The invention relates to the field of safety level evaluation and classification of power plant equipment, in particular to a method for classification of equipment safety levels. Background technique [0002] The operating status of thermal power plant equipment plays a vital role in the safe operation of thermal power plants. The real-time classification of thermal power plant equipment safety levels can judge the current safety status of equipment, assist in predicting potential risks in power plant equipment, and judge possible dangers, so as to implement reasonable and feasible safety countermeasures and guide accident prevention. It can be seen that realizing the objective safety level classification of the state of the equipment is the premise of perfecting the equipment fault diagnosis system, an important means of auxiliary maintenance, and an important part of realizing the detection of equipment state. Therefore, it is of great practical si...

AI Technical Summary

Problems solved by technology

This evaluation standard has been widely used in the safety evaluation of thermal power plants, but this standard system is only for the overhaul of power plants, and the real-time evaluation of thermal power plants is still in its infancy at home and abroad, resulting in the inability to realize the safety level of equipment in real time Classification

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