基于相似度分段及重采样的自适应波形数据压缩
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摘要
针对快速傅里叶变换(FFT)对稳态和暂态频繁切换的智能家电的电流数据压缩时,存在单周波非整数点造成的谐波失真及时间相位累计误差、分段衔接失真等问题,提出了一种基于相似度分段及重采样的自适应波形数据压缩方法。通过自相关系数自动分段得到稳态和暂态,对稳态数据重采样后用FFT和ZLIB级联压缩,对暂态数据采用ZLIB无损压缩,并提出综合压缩系数评价指标。以微波炉、空调、洗衣机进行测试,实验表明,在保证失真度的情况下,优选综合压缩系数较小的采样率; 5种采样率下的3种重采样方法中重采样到单周波128点综合效果较好,压缩比高于21. 73,均方根误差百分比在1. 04%之内。
In order to solve the problems of harmonic distortion,time-phase cumulative error and segmentation connection distortion caused by non-integer points of single-cycle,when FFT transform compresses the current data of smart home appliances with frequent switching between steady state and transient state,an adaptive waveform data compression based on similarity segmentation and resampling is presented. The auto-correlation coefficient is used to automatically segment the steady state and transient state. FFT and ZLIB cascade compression are used after re-sampling of steady-state data. ZLIB lossless compression is applied to transient data,and the comprehensive compression coefficient evaluation index is proposed. Tested in microwave oven,air conditioner and washing machine,the experiment results show that the sampling rate with small comprehensive compression coefficient is preferred under the condition of ensuring distortion; the three resampling methods under the five sampling rates have a good effect on the 128 points of single-cycle:compression ratio is higher than 21. 73,and mean square error is within 1. 04%.
In order to solve the problems of harmonic distortion,time-phase cumulative error and segmentation connection distortion caused by non-integer points of single-cycle,when FFT transform compresses the current data of smart home appliances with frequent switching between steady state and transient state,an adaptive waveform data compression based on similarity segmentation and resampling is presented. The auto-correlation coefficient is used to automatically segment the steady state and transient state. FFT and ZLIB cascade compression are used after re-sampling of steady-state data. ZLIB lossless compression is applied to transient data,and the comprehensive compression coefficient evaluation index is proposed. Tested in microwave oven,air conditioner and washing machine,the experiment results show that the sampling rate with small comprehensive compression coefficient is preferred under the condition of ensuring distortion; the three resampling methods under the five sampling rates have a good effect on the 128 points of single-cycle:compression ratio is higher than 21. 73,and mean square error is within 1. 04%.
引文
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[2]夏建生,赵进全,杨涛.一种高精度的电能质量监测系统[J].电子测量技术,2016,39(1):134-141.JIANSHENG X,JINQUAN Z,TAO Y.High precision power quality monitoring system[J].Electronic Measurement Technology,2016,39(1):134-141.
[3]桑博,刘洪文,尹志勇.单一电能质量扰动的分类识别研究[J].国外电子测量技术,2016,35(7):56-59.SANG B,LIU H W,YIN ZH Y.Research of signal power quality disturbance identification and classification[J].Foreign Electronic Measurement Technology,2016,35(7):56-59.
[4]TCHEOU M P,LOVISOLO L,RIBEIRO M V,et al.The compression of electric signal waveforms for smart grids:State of the art and future trends[J].IEEETransactions on Smart Grid,2014,5(1):291-302.
[5]DONOHO D L,VETTERLI M,DEVORE R A,et al.Data compression and harmonic analysis[J].IEEETransactions on Information Theory,1998,44(6):2435-2476.
[6]张明,龚建峰,何顺帆.基于谐波滤波器组的电能质量扰动数据压缩方法[J].电力系统自动化,2016,40(15):93-98.MING Z,GONG J,SHUNFAN H E.Data Compression method for power quality disturbance based on Harmonic Filter bank[J].Automation of Electric Power Systems,2016,40(15):93-98.
[7]乐全明,郁惟镛,柏传军,等.基于提升算法的电力系统故障录波数据压缩新方案[J].电力系统自动化,2005,29(5):74-78.YUE Q M,YU W Y,BAI CH J,et al.Novel compression scheme of fault recording data in power systems based on lifting algorithm[J].Automation of Electric Power Systems,2005,29(5):74-78.
[8]AN Q,ZHANG H,HU Z,et al.A Compression approach of power quality monitoring data based on twodimension DCT[C].3rd International Conference on Measuring Technology and Mechatronics Automation,IEEE Computer Society,2011:20-24.
[9]刘晓胜,王新库,黄南天,等.基于模式相似度和LZW压缩编码的电能质量数据压缩方法[J].电力自动化设备,2012,32(3):53-57.LIU X SH,WANG X K,HUANG N T,et al.Power quality data compression based on pattern similarity and LZW compressed encoding[J].Electric Power Automation Equipment,2012,32(3):53-57.
[10]GEREK O N,ECE D G.Compression of power quality event data using 2D representation[J].Electric Power Systems Research,2008,78(6):1047-1052.
[11]崔旭,尹为民,欧阳华.电能质量信号的三维数据压缩[J].计算技术与自动化,2014,33(2):108-111.CUI X,YIN W M,O’YANG H.Three-dimensional data compression of power quality signal[J].Computing Technology and Automation,2014,33(2):108-111.
[12]管春,周雒维,卢伟国,等.基于图像平滑算法的电能质量数据压缩方法[J].电力自动化设备,2011,31(8):77-80.GUAN CH,ZHOU L W,LU W G,et al.Power quality data compression based on image smoothing algorithm[J].Electric Power Automation Equipment,2011,31(8):77-80.
[13]沈跃,丁灵卫,吴翃轩,等.回溯自适应匹配追踪电能质量信号重构方法[J].电子测量与仪器学报,2017,31(5):731-738.YUE S,LINGWEI D,HONGXUAN W,et al.Power quality signal reconstruction of backtracking-based selfadaptive matching pursuit method[J].Journal of Electronic Measurement and Instrumentation,2017,31(5):731-738.
[14]刘国海,吴翃轩,沈跃.正则化自适应匹配追踪电能质量数据重构方法[J].仪器仪表学报,2015,36(8):1838-1844.LIU G H,WU H X,SHEN Y.Novel reconstruction method of power quality data based on regularized adaptive matching pursuit algorithm[J].Chinese Journal of Scientific Instrument,2015,36(8):1838-1844.
[15]安徽建筑大学.健康智能家居系统的管理方法:中国,201510777559.X[P].2016-01-27.Anhui Jianzhu University.Health smart home system management method:China,201510777559.X[P].2016.
[16]COMMITTEE E M.IEEE recommended practice for monitoring electric power quality[S].IEEE Std 1159-2009(Revision of IEEE Std 1159-1995).IEEE,2009.
[17]陈杰.家电电气工作状态识别及建筑电能负荷预测方法研究[D].合肥:安徽建筑大学,2016.CHEN J.Recognition of electrical states for home appliances and power load forecasting method for buildings[D].Hefei:Anhui Jianzhu University,2016.
[18]刘酩.家用电器状态监测若干关键技术的研究[D].合肥:安徽建筑工业学院,2012.LIU M.Research on several key technologies of household appliances condition monitoring[D].Hefei:Anhui University of Architecture,2012.
[19]DEUTSCH P,GAILLY J L.ZLIB Compressed Data Format Specification Version 3.3[M].RFCEditor,1996.