【摘要】 对变电站汇控柜的状态展开实时传感监测，能够有效预防由变电站故障引起的停电、火灾等情况的发生，为此，提出一种基于多传感器信息融合技术的变电站汇控柜状态监测方法。通过分布图和自适应加权法实现不同传感器的变电站汇控柜数据信息融合，以提高融合后状态信息的准确性。对融合后的变电站汇控柜状态信息进行小波包分解，并对分解系数进行重构，以提取关键的状态特征。将提取到的状态特征输入到最小二乘支持向量机模型中，实现对变电站汇控柜状态的监测和分类。实验结果表明，所提方法融合处理汇控柜信息的时间低于45 ms,特征提取准确率高于95%,监测信息与真实信息基本一致，汇控柜状态监测效果较好。更多还原

【Abstract】 Real time sensing and monitoring of the status of the substation control cabinet can effectively prevent power outages, fires, and other situations caused by substation faults. Therefore, a method for monitoring the status of the substation control cabinet based on multi-sensor information fusion technology is proposed. The distribution map and adaptive weighting method are used to realize the data information fusion of the substation control cabinet with different sensors, so as to improve the accuracy of the status information after fusion. Wavelet packet decomposition is performed on the fused status information of the substation control cabinet, and the decomposition coefficients are reconstructed to extract key state features. The extracted state features are input into the least squares support vector machine model to achieve monitoring and classification of the status of the substation control cabinet. The experimental results show that the fusion processing time of the proposed method for the information of the control cabinet is less than 45 ms, the accuracy of feature extraction is higher than 95%,and the monitoring information is basically consistent with the real information. The monitoring effect of the control cabinet status is good.更多还原