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Research on intelligent exhaust device design of the breaker in the substation

机译：变电站断路器智能排气装置设计研究

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摘要

To understand the frequent bulge fault of hydraulic operating mechanism of the breaker in a substation, oil pump failure is analyzed, and liquid level and gas sensors are used to design an intelligent exhaust device, which weakens the influence of the environment and improves the safety and reliability of the equipment. This device, with neural network self-learning height measurement algorithm as its core, processes the data obtained by barometric sensor and liquid-level sensor by detecting the breaker, to get an accurate oil-level height and reach real-time control over solenoid valve exhaust device as well as automatic record of system working condition, thus realizing the intelligent detection and automatic identification.
机译：要了解断路器液压操作机构的频繁凸起故障，分析油泵衰竭，液位和气体传感器用于设计智能排气装置，削弱环境的影响并提高安全性和提高安全性设备的可靠性。该器件具有神经网络自学习高度测量算法作为其核心，通过检测断路器来处理由气压传感器和液位传感器获得的数据，以获得精确的油电平高度，并在电磁阀上达到实时控制排气装置以及系统工作条件的自动记录，从而实现智能检测和自动识别。

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