针对传统台区线损管理中通信不可靠、数据颗粒度粗的问题,提出一种基于高速电力线载波(High speed Power Line Carrier,HPLC)双模通信的线损异常识别与窃电定位系统并进行应用测试。该系统利用正交频分复用(Orthogonal Frequency Divisi...针对传统台区线损管理中通信不可靠、数据颗粒度粗的问题,提出一种基于高速电力线载波(High speed Power Line Carrier,HPLC)双模通信的线损异常识别与窃电定位系统并进行应用测试。该系统利用正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)高速模式获取相量数据,构建动态阈值模型识别异常;利用扩频型移频键控(Spread Frequency Shift Keying,S-FSK)窄带模式的信道探测能力,构建基于信道传递函数偏差的定位算法。应用测试表明,该系统可实现台区线损状态的精准研判与异常用户的快速定位。展开更多
[Objectives]To develop an HPLC fingerprint analysis method for the medicinal material of Lysimachia foenum-graecum Hance,thereby providing a foundation for its quality control.[Methods]Samples of L.foenum-graecum coll...[Objectives]To develop an HPLC fingerprint analysis method for the medicinal material of Lysimachia foenum-graecum Hance,thereby providing a foundation for its quality control.[Methods]Samples of L.foenum-graecum collected from 10 distinct locations in Guangxi were analyzed using HPLC,and chromatographic fingerprints were established.The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(2012 Edition)was employed for common peak calibration and similarity evaluation.Additionally,principal component analysis was performed on the common peak area data.[Results]An HPLC fingerprint of L.foenum-graecum was developed,identifying a total of 13 common peaks.Among these,four characteristic components were specifically identified:chlorogenic acid,myricetin,quercetin,and kaempferol.The kaempferol chromatographic peak,exhibiting good resolution and a stable peak shape,was selected as the reference peak.The similarity indices between the fingerprints of the 10 sample batches and the reference fingerprint ranged from 0.954 to 0.995,indicating a relatively high consistency in the chemical composition of L.foenum-graecum from different origins.Principal component analysis identified two principal components,which together accounted for 89.45%of the cumulative variance,effectively capturing the primary chemical differences among the samples.[Conclusions]The established HPLC fingerprint method is straightforward to implement,stable,reliable,and exhibits high specificity.When combined with similarity evaluation and principal component analysis,it offers a scientific basis for developing quality standards for L.foenum-graecum medicinal materials.展开更多
文摘针对传统台区线损管理中通信不可靠、数据颗粒度粗的问题,提出一种基于高速电力线载波(High speed Power Line Carrier,HPLC)双模通信的线损异常识别与窃电定位系统并进行应用测试。该系统利用正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)高速模式获取相量数据,构建动态阈值模型识别异常;利用扩频型移频键控(Spread Frequency Shift Keying,S-FSK)窄带模式的信道探测能力,构建基于信道传递函数偏差的定位算法。应用测试表明,该系统可实现台区线损状态的精准研判与异常用户的快速定位。
基金Supported by 2023 Self-funded Research Project of the Guangxi Zhuang Autonomous Region Administration of Traditional Chinese Medicine(GXZYL20230369)2022 Internal Talent Research Project of Affiliated Hospital of Youjiang Medical University for Nationalities(Y202210319).
文摘[Objectives]To develop an HPLC fingerprint analysis method for the medicinal material of Lysimachia foenum-graecum Hance,thereby providing a foundation for its quality control.[Methods]Samples of L.foenum-graecum collected from 10 distinct locations in Guangxi were analyzed using HPLC,and chromatographic fingerprints were established.The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(2012 Edition)was employed for common peak calibration and similarity evaluation.Additionally,principal component analysis was performed on the common peak area data.[Results]An HPLC fingerprint of L.foenum-graecum was developed,identifying a total of 13 common peaks.Among these,four characteristic components were specifically identified:chlorogenic acid,myricetin,quercetin,and kaempferol.The kaempferol chromatographic peak,exhibiting good resolution and a stable peak shape,was selected as the reference peak.The similarity indices between the fingerprints of the 10 sample batches and the reference fingerprint ranged from 0.954 to 0.995,indicating a relatively high consistency in the chemical composition of L.foenum-graecum from different origins.Principal component analysis identified two principal components,which together accounted for 89.45%of the cumulative variance,effectively capturing the primary chemical differences among the samples.[Conclusions]The established HPLC fingerprint method is straightforward to implement,stable,reliable,and exhibits high specificity.When combined with similarity evaluation and principal component analysis,it offers a scientific basis for developing quality standards for L.foenum-graecum medicinal materials.
