基于多维度数据融合与分析的变压器移动监测评估模型设计

Design of transformer movement monitoring and evaluation model based on multi-dimensional data fusion and analysis

目前还没有仅靠一种手段就能有效诊断变压器状态的方案,而对变压器实施全方位、多维度在线监测,并融合多种手段进行状态分析具有较高的工程应用价值。针对电力变压器运行过程中数据种类繁多、状态评价中各指标不确定等问题,提出了一种基于多维度数据融合与分析的变压器移动监测评估模型。该模型筛选了具有代表性且能较全面反映变压器状态的监测量,并规定了移动监测平台设备的参数范围,进而深入研究了多维度数据融合分析算法。通过综合分析构建了一个更为全面的变压器健康状态评估模型,给出了各监测状态量的权重系数及评估流程,从而建立了完整的变压器状态评价体系。实际案例的测试结果证明了所设计模型的有效性。

At present,there is no scheme that can effectively diagnose the state of transformer by only one means.The implementation of omni-directional multi-dimensional on-line monitoring of transformer and the integration of various means for state analysis has high engineering application value.Aiming at the problems of various data types and uncertain indexes in power transformer operation,a transformer movement monitoring and evaluation model based on multi-dimensional data fusion and analysis is proposed.The model selects the monitoring quantity with representative performance to comprehensively reflect the transformer status,specifies the parameter range of mobile monitoring platform equipment,and deeply studies the multi-dimensional data fusion analysis algorithm.Through comprehensive analysis,a more comprehensive transformer health state evaluation model is constructed,the weight coefficient and evaluation process of each monitoring state quantity are given,and a complete transformer state evaluation system is established.The test results of actual cases prove the effectiveness of the model designed in this paper.