基于智能传感视觉的电缆裸露风险模式识别指标分析
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摘要
为了避免电缆裸露造成的工程作业故障等问题,提出基于智能传感视觉的电缆裸露风险模式识别指标分析;通过了解致使电缆裸露因素,分析电缆裸露风险识别指标和原理,对电缆破损数据进行预处理;采用SVD方法提取数据特征,引入智能传感视觉技术实现电缆破损数据重构,从而完成对电缆裸露风险模式识别指标的分析;实验结果表明,所提方法分析准确性高,有效降低电缆裸露风险,减少电力传输过程的损失。
In order to avoid the problems of engineering operation caused by cable exposure,the index analysis of cable exposed risk pattern recognition based on intelligent sensing vision is proposed.The cable damage data is pretreated by analyzing the exposed factors of cable and analyzing the index and principle of cable exposed risk identification.SVD method is used to extract the data characteristics,and the intelligent sensing vision technology is introduced to reconstruct the cable damage data,so as to complete the analysis of cable exposed risk pattern recognition index.The experimental results show that the proposed method has high accuracy and can effectively reduce the risk of cable exposure and reduce the loss of power transmission process.
In order to avoid the problems of engineering operation caused by cable exposure,the index analysis of cable exposed risk pattern recognition based on intelligent sensing vision is proposed.The cable damage data is pretreated by analyzing the exposed factors of cable and analyzing the index and principle of cable exposed risk identification.SVD method is used to extract the data characteristics,and the intelligent sensing vision technology is introduced to reconstruct the cable damage data,so as to complete the analysis of cable exposed risk pattern recognition index.The experimental results show that the proposed method has high accuracy and can effectively reduce the risk of cable exposure and reduce the loss of power transmission process.
引文
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[3]赵志升,张晓,梁俊花,等.融入背景差分连续重构的心脏医学重建[J].科技通报,2015,31(8):207-209.
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[5]杨萍,张玉杰,李秦君.基于LS-SVM的contourletHMT变换的孔型测量边缘检测[J].计算机测量与控制,2015,23(10):3281-3282.
[6]庄晓燕,赵贻玖.谱稀疏信号随机等效采样重构方法研究[J].电子测量与仪器学报,2015,29(10):1507-1512.
[7]李果,张茹,徐晓炼,等.三轴压缩煤岩三维裂隙CT重构及体分形维研究[J].岩土力学,2015,36(6):1633-1642.
[8]万金梁,王健.基于融合细分的纹理重构模型[J].计算机应用,2015,35(11):3194-3197.
[9]郎利影,王勇,李思骞.基于压缩感知OMP改进算法的重构[J].电视技术,2015,39(6):8-12.
[10]詹曙,王俊,杨福猛,等.基于Gabor特征和字典学习的高斯混合稀疏表示识别[J].电子学报,2015,43(3):523-528.