基于无线传感器的电子测量设备智能控制系统设计与实现研究

Design and Implementation of Intelligent Control System for Electronic Measurement Equipment Based on Wireless Sensors

在电力系统的日益复杂化和智能化背景下,变电站作为电能传输与分配的关键节点,其二次回路的稳定运行直接关系到电网的安全与可靠性。二次回路故障诊断因而成为电力系统研究的重要领域之一。大数据、人工智能等技术飞速发展,基于数据驱动的智能故障诊断技术应运而生。本文旨在通过深度学习等算法自动识别和分析故障,从而提高诊断的准确性和效率。本文围绕电子测量设备智能控制系统在变电站二次回路故障诊断中的应用进行深入探讨,展现了基于数据驱动的智能诊断系统在提升变电站二次回路故障诊断效率方面的优势,为电力系统的稳定运行提供了有力支撑。

In the context of the increasing complexity and intelligence of power systems,substations serve as critical nodes for electric energy transmission and distribution,and the stable operation of their secondary circuits is directly related to the safety and reliability of the power grid.Secondary circuit fault diagnosis has thus become one of the important areas of research in power systems.With the development of technologies such as big data and artificial intelligence,data-driven intelligent fault diagnosis techniques have emerged.This article aims to automatically identify and analyze faults through algorithms such as deep learning,thereby improving the accuracy and efficiency of diagnosis.This article delves into the application of an intelligent control system for electronic measurement equipment in the fault diagnosis of substation secondary circuits,demonstrating the advantages of datadriven intelligent diagnosis systems in enhancing the efficiency of secondary circuit fault diagnosis in substations,providing strong support for the stable operation of power systems.