Control system and method of intelligent permanent-magnet vacuum circuit breaker

Abstract

The invention belongs to the technical field of circuit breakers, and discloses a control system and method of an intelligent permanent-magnet vacuum circuit breaker. The control system comprises a signal acquisition module, a closing control module, a central control module, a photoelectric isolation module, a fault identification module, an alarm and a display screen. The closing time of the circuit breaker can be compensated by the closing control module, so that the opening and closing time of the circuit breaker can be kept stable under different working conditions, and a reliable basis is provided for realizing synchronous closing. And meanwhile, the fault identification module combines a support vector machine with incremental learning to identify common faults of the permanent-magnet mechanism high-voltage vacuum circuit breaker. Small sample data is fully used for training a model, the generalization ability of fault recognition is improved, a sample library is continuously enriched by learning new data, and the classification recognition accuracy can be improved to more than 90%.

Description

technical field [0001] The invention belongs to the technical field of circuit breakers, and in particular relates to a control system and a control method of an intelligent permanent magnet vacuum circuit breaker. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] A circuit breaker refers to a switching device that can close, carry and break current under normal circuit conditions and can close, carry and break current under abnormal circuit conditions within a specified time. Circuit breakers are divided into high-voltage circuit breakers and low-voltage circuit breakers according to their scope of use. The division of high and low voltage boundaries is relatively vague. Generally, those above 3kV are called high-voltage electrical appliances. Circuit breakers can be used to distribute electric energy, start asynchronous motors infrequently, protect power lines and motors, and automatically cut off t...

AI Technical Summary

Problems solved by technology

[0005] Existing circuit breakers do not consider the influence of temperature changes on the mechanical structure of the circuit breaker, resulting in changes in closing time and inability to close synchronously, which brings inconvenience to actual use;

[0006] When used at the same time, it is difficult to capture the state information when the equipment fails, the fault data samples are lacking, and the data is not rich; the fault analysis method is not very targeted, and it is difficult to establish a corresponding mathematical model for fault identification

[0007] The existing methods of using unlabeled examples to improve the learning performance of classifiers can only apply the idea of ​​active learning and have no specific solutions to specific problems. It is necessary to achieve "specific problems, specific analysis"; the algorithm has high computational complexity, which leads to Difficult to apply to the fast control requirements of circuit breakers

[0008] But so far, there is no adjustment strategy prediction method that analyzes and mines the influencing factors driven by big data and integrates dynamic characteristics into the prediction model.

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