In this paper we designed an automatic millimeter wave test system based on the quasi optical resonator method, which can continuously test the dielectric properties of materials at single and multi frequency points in the frequency band of 20~50GHz. The initial dielectric value of the tested material is determined by the internal integration of the software, and the initial dielectric value is used as the initial value of the subsequent mode iteration to realize the one key automatic test. The system has the characteristics of high degree of automation, wide test frequency band and high test precision. The system is used to test common millimeter wave communication materials such as alumina ceramics and sapphire at 300 °C, and compared with the literature data. The design system can meet the needs of millimeter wave high temperature testing of dielectric materials.
{"title":"Characterization of Dielectric Properties of Low Loss Materials at 300°C at Millimeter Wave","authors":"Qiaoge Zou, Rui Zhao, Yahai Wang, Ziqi Jiang, Jinbang Wang, Changle Chen","doi":"10.1109/ICEMI52946.2021.9679564","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679564","url":null,"abstract":"In this paper we designed an automatic millimeter wave test system based on the quasi optical resonator method, which can continuously test the dielectric properties of materials at single and multi frequency points in the frequency band of 20~50GHz. The initial dielectric value of the tested material is determined by the internal integration of the software, and the initial dielectric value is used as the initial value of the subsequent mode iteration to realize the one key automatic test. The system has the characteristics of high degree of automation, wide test frequency band and high test precision. The system is used to test common millimeter wave communication materials such as alumina ceramics and sapphire at 300 °C, and compared with the literature data. The design system can meet the needs of millimeter wave high temperature testing of dielectric materials.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124655098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To reduce the influence on the measurement accuracy of dual frequency signals such as harmonic and inter-harmonic caused by the non-integer period sampling errors, a new interpolation correction algorithm based on discrete Fourier transform (DFT) is proposed in this paper. The algorithm divides the sampling into four different states. The frequency, amplitude, and phase of the dual frequency signals are calculated by analyzing the relationships between the real part and imaginary part of the spectral peak and sub spectral peak in the discrete spectrum of the signal in each state. There is not error nearly introduced by the algorithm whether the sampling process is in integer period. Therefore, no strict requirement is needed whether the data acquisition system realizes the integer period sampling and no need to use compensation algorithm to improve the accuracy. The simulation results show that the accuracy of the frequency, amplitude, and phase calculated in the algorithm reaches the level of 10−9. The correctness of the algorithm is verified, accuracy meets the calibrating requirements of harmonic and inter-harmonic parameters of power sources, power analyzers and other equipment. At present, the calibration program based on the algorithm has been applied to the calibration of harmonic and inter-harmonic parameters of relevant instruments, and good results have been obtained.
{"title":"Research on High Accurate Measurement on Dual Frequency Signals","authors":"W. Sun, Haibin Jin, Beibei Hu, Aqin Chen, Huan Zhang, Jiajun Peng","doi":"10.1109/ICEMI52946.2021.9679529","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679529","url":null,"abstract":"To reduce the influence on the measurement accuracy of dual frequency signals such as harmonic and inter-harmonic caused by the non-integer period sampling errors, a new interpolation correction algorithm based on discrete Fourier transform (DFT) is proposed in this paper. The algorithm divides the sampling into four different states. The frequency, amplitude, and phase of the dual frequency signals are calculated by analyzing the relationships between the real part and imaginary part of the spectral peak and sub spectral peak in the discrete spectrum of the signal in each state. There is not error nearly introduced by the algorithm whether the sampling process is in integer period. Therefore, no strict requirement is needed whether the data acquisition system realizes the integer period sampling and no need to use compensation algorithm to improve the accuracy. The simulation results show that the accuracy of the frequency, amplitude, and phase calculated in the algorithm reaches the level of 10−9. The correctness of the algorithm is verified, accuracy meets the calibrating requirements of harmonic and inter-harmonic parameters of power sources, power analyzers and other equipment. At present, the calibration program based on the algorithm has been applied to the calibration of harmonic and inter-harmonic parameters of relevant instruments, and good results have been obtained.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123499394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679606
X. Qie, Siming Guo, Jiang He, Zheng Jiang, T. Yu, X. Wen, Shiwei Ren, Z. An, Jin-jie Wu
The New Space Technology Test Satellite (SY-01) is scheduled to carry out its first flight with a Chinese aerospace rocket, carrying multiple payloads to carry out space scientific exploration missions. SY-01 can carry multiple payloads to carry out space exploration missions. Among them, the High Energy Burst Researcher (HEBS) is one of the important payloads on the satellite. It will monitor the high-energy electromagnetic counterparts of gravitational wave events throughout the day and discover large samples of gamma-ray bursts. This paper mainly introduces the ground test experiment of the HEBS payload gamma-ray detector (GRD) and studies energy resolution and energy linearity in the range of (38–80)keV. The test results show that the GRD has good performance in the low-energy region, which can meet the requirements of monitoring gravitational wave gamma-ray bursts on-orbit.
{"title":"Study on the Performance of SY-01 Satellite Gamma-Ray Detector","authors":"X. Qie, Siming Guo, Jiang He, Zheng Jiang, T. Yu, X. Wen, Shiwei Ren, Z. An, Jin-jie Wu","doi":"10.1109/ICEMI52946.2021.9679606","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679606","url":null,"abstract":"The New Space Technology Test Satellite (SY-01) is scheduled to carry out its first flight with a Chinese aerospace rocket, carrying multiple payloads to carry out space scientific exploration missions. SY-01 can carry multiple payloads to carry out space exploration missions. Among them, the High Energy Burst Researcher (HEBS) is one of the important payloads on the satellite. It will monitor the high-energy electromagnetic counterparts of gravitational wave events throughout the day and discover large samples of gamma-ray bursts. This paper mainly introduces the ground test experiment of the HEBS payload gamma-ray detector (GRD) and studies energy resolution and energy linearity in the range of (38–80)keV. The test results show that the GRD has good performance in the low-energy region, which can meet the requirements of monitoring gravitational wave gamma-ray bursts on-orbit.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124537795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679574
Yunna Tian, Yong Zhang, Li Li
Entropy assessment of fusion image is inconsistent frequently of subjective evaluating result. An assessment method based on region entropy is provided. First divide fusion image into background region and target region based on automatic maximum variance threshold method. Then calculate region entropy respectively. According to human visual system characteristics load greater weight factor to region of interest than others, which increase the influence degree of target region entropy. Experiment result shows region entropy assessment is closer to the subjective evaluating result than the whole entropy assessment method. Meanwhile, region entropy calculating equation has the good concordance with the whole entropy calculating method under certain extent abbreviation.
{"title":"Assessment Method of Fusion Image Quality Based on Region Entropy","authors":"Yunna Tian, Yong Zhang, Li Li","doi":"10.1109/ICEMI52946.2021.9679574","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679574","url":null,"abstract":"Entropy assessment of fusion image is inconsistent frequently of subjective evaluating result. An assessment method based on region entropy is provided. First divide fusion image into background region and target region based on automatic maximum variance threshold method. Then calculate region entropy respectively. According to human visual system characteristics load greater weight factor to region of interest than others, which increase the influence degree of target region entropy. Experiment result shows region entropy assessment is closer to the subjective evaluating result than the whole entropy assessment method. Meanwhile, region entropy calculating equation has the good concordance with the whole entropy calculating method under certain extent abbreviation.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130242657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679631
Li Wang, Zhikun Wei, Hua Xie, Gen Qiu
When the traditional Digital Quadrature Lock-in Amplifier(DQLIA) is used to detect the current signal of the Giant Magneto-Impedance (GMI) magnetic sensor online, the original current signal is mixed with strong noise after passing through the GMI magnetic sensor, resulting in large fluctuations in the output result and low accuracy. In order to reduce noise interference and improve the detection accuracy of GMI magnetic signals, this paper proposes a current signal noise reduction method combining Least Mean Square(LMS) adaptive time delay estimation and DQLIA. LMS adaptive time delay estimation is added to DQLIA, using the noise reduction characteristics of LMS adaptive time delay estimation, makes the noise superimposed on the frequency-locked signal further reduced. Improve the detection accuracy of the GMI current signal and reduce the output fluctuation rate. Through MATLAB/Simulink simulation, the results show that under the condition of input signal-to-noise ratio(SNR) of −7.01dB, the output volatility of the improved method proposed in this paper is reduced by 15.6% compared with the traditional method. Therefore, simulations and experiments have verified the rationality and effectiveness of the proposed method.
{"title":"Design of Quadrature Lock-in Amplifier Based on LMS Time Delay Adaptive","authors":"Li Wang, Zhikun Wei, Hua Xie, Gen Qiu","doi":"10.1109/ICEMI52946.2021.9679631","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679631","url":null,"abstract":"When the traditional Digital Quadrature Lock-in Amplifier(DQLIA) is used to detect the current signal of the Giant Magneto-Impedance (GMI) magnetic sensor online, the original current signal is mixed with strong noise after passing through the GMI magnetic sensor, resulting in large fluctuations in the output result and low accuracy. In order to reduce noise interference and improve the detection accuracy of GMI magnetic signals, this paper proposes a current signal noise reduction method combining Least Mean Square(LMS) adaptive time delay estimation and DQLIA. LMS adaptive time delay estimation is added to DQLIA, using the noise reduction characteristics of LMS adaptive time delay estimation, makes the noise superimposed on the frequency-locked signal further reduced. Improve the detection accuracy of the GMI current signal and reduce the output fluctuation rate. Through MATLAB/Simulink simulation, the results show that under the condition of input signal-to-noise ratio(SNR) of −7.01dB, the output volatility of the improved method proposed in this paper is reduced by 15.6% compared with the traditional method. Therefore, simulations and experiments have verified the rationality and effectiveness of the proposed method.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132847582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The simultaneous engagement of planet gears with the sun gear and the ring gear is the main reason for the complicated vibration of the planetary gearbox. However, the relationship of planet gear parameters on the vibration has not been effectively revealed. To end this, the modified meshing phase model of gear pairs is established, and moments of sudden stiffness changes of gear pairs are calculated. Furthermore, the problem of simultaneous tooth shifting of gear pairs and the number of sudden stiffness changes in one meshing period are also discussed. Then, according to this sudden changing number, planetary gearboxes without tooth displacement are classified into four types, where the classification results are closely related to the gear number and the teeth number of the planet gear. Finally, the dynamic simulations of these four types of gearboxes are carried out in the finite element software. Simulation results show that these 4 vibration signals are different both in the time and frequency domains.
{"title":"Relationship between Planet Gear Parameters and the Vibration Characteristics of Planetary Gearboxes","authors":"Yingchao Luo, Lingli Cui, Genqiang Jing, Lu Peng, Qihao Yin, Xiaofan Feng","doi":"10.1109/ICEMI52946.2021.9679573","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679573","url":null,"abstract":"The simultaneous engagement of planet gears with the sun gear and the ring gear is the main reason for the complicated vibration of the planetary gearbox. However, the relationship of planet gear parameters on the vibration has not been effectively revealed. To end this, the modified meshing phase model of gear pairs is established, and moments of sudden stiffness changes of gear pairs are calculated. Furthermore, the problem of simultaneous tooth shifting of gear pairs and the number of sudden stiffness changes in one meshing period are also discussed. Then, according to this sudden changing number, planetary gearboxes without tooth displacement are classified into four types, where the classification results are closely related to the gear number and the teeth number of the planet gear. Finally, the dynamic simulations of these four types of gearboxes are carried out in the finite element software. Simulation results show that these 4 vibration signals are different both in the time and frequency domains.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115485227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to solve the problems of the low-illuminance image with low contrast and blurred details, this paper design the multi-domain value block enhancement algorithm fused with genetic algorithm. The algorithm first searches for the optimal segmentation threshold of the brightness channel of the input image through genetic algorithm. Then, according to the obtained threshold, the brightness channel is divided into multiple subgraphs with different exposure levels. Next, all subgraphs are assessed by the multi-threshold block enhancement method, and the brightness of each subgraph is adjusted according to the assessment. After that the multi-scale fusion method is used to fuse the details of the input image into the brightness-enhanced image. Finally, the output image with normal brightness and rich details is reconstructed. This paper selects the enhancement algorithm proposed in the past three years for comparison experiments. The results show that the low-illuminance image is enhanced by the algorithm in this paper. Its entropy increases by 66.2%, enhancement by entropy increases by 94.7%, and average gradient increases by 97.2%. The increase of each index of the image enhanced by the algorithm in this paper is greater than that of other comparison methods, which proves that the algorithm in this paper has better performance.
{"title":"Multi-domain Value Block Enhancement Algorithm Fused with Genetic Algorithm","authors":"Gaiyun Wang, Zhichao Guo, Jintao Shen, Jianbin Liu, Qi Zhang","doi":"10.1109/ICEMI52946.2021.9679666","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679666","url":null,"abstract":"In order to solve the problems of the low-illuminance image with low contrast and blurred details, this paper design the multi-domain value block enhancement algorithm fused with genetic algorithm. The algorithm first searches for the optimal segmentation threshold of the brightness channel of the input image through genetic algorithm. Then, according to the obtained threshold, the brightness channel is divided into multiple subgraphs with different exposure levels. Next, all subgraphs are assessed by the multi-threshold block enhancement method, and the brightness of each subgraph is adjusted according to the assessment. After that the multi-scale fusion method is used to fuse the details of the input image into the brightness-enhanced image. Finally, the output image with normal brightness and rich details is reconstructed. This paper selects the enhancement algorithm proposed in the past three years for comparison experiments. The results show that the low-illuminance image is enhanced by the algorithm in this paper. Its entropy increases by 66.2%, enhancement by entropy increases by 94.7%, and average gradient increases by 97.2%. The increase of each index of the image enhanced by the algorithm in this paper is greater than that of other comparison methods, which proves that the algorithm in this paper has better performance.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115823631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679531
Jingchao Zhang, Yuting Wang, Yinuo Su, Liyan Qiao
This paper considers the blind calibration and signal recovery of Modulated Wideband Converter system. The amplitude and phase errors of each channel are modeled as an unknown multiplicative diagonal matrix, and a blind calibration algorithm which only requires measurements of nonideal MWC has been proposed to solve this problem. Calibrating the system and reconstructing the support set can be accomplished simultaneously by solving a bilinear inverse equation. A neat conclusion of this result is that our method can significantly improve the recovery success rate, especially in the case of large non-ideal factors compared with the original system. Numerical simulations verify the effectiveness of our method.
{"title":"Joint System Calibration and Signal Recovery Based on Bilinear Inverse Equation for Modulated Wideband Converter","authors":"Jingchao Zhang, Yuting Wang, Yinuo Su, Liyan Qiao","doi":"10.1109/ICEMI52946.2021.9679531","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679531","url":null,"abstract":"This paper considers the blind calibration and signal recovery of Modulated Wideband Converter system. The amplitude and phase errors of each channel are modeled as an unknown multiplicative diagonal matrix, and a blind calibration algorithm which only requires measurements of nonideal MWC has been proposed to solve this problem. Calibrating the system and reconstructing the support set can be accomplished simultaneously by solving a bilinear inverse equation. A neat conclusion of this result is that our method can significantly improve the recovery success rate, especially in the case of large non-ideal factors compared with the original system. Numerical simulations verify the effectiveness of our method.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124349755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-29DOI: 10.1109/ICEMI52946.2021.9679628
M. Yao, Conghui Li, Ziwei Xue
In order to enhance the ability of current-mode CMOS circuits to resist power analysis attacks, we introduce dual-masking logic to form dual-masking current-mode CMOS logic (DM-CML). There are 4 possibilities for the mask value, which is random and unpredictable. When the attacker cannot obtain the accurate mask value, the actual calculation result of the circuit cannot be accurately obtained by attackers. The less correlation between data and power consumption enhances circuit ability to resist power analysis attacks. Through the simulation experiment of Hspice, the results show that the DM-CML has the correct logic function and constant power consumption, which enhances its ability to resist power attacks.
{"title":"Design of Double-Masking Current-Mode CMOS Circuit Against Power Analysis Attacks","authors":"M. Yao, Conghui Li, Ziwei Xue","doi":"10.1109/ICEMI52946.2021.9679628","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679628","url":null,"abstract":"In order to enhance the ability of current-mode CMOS circuits to resist power analysis attacks, we introduce dual-masking logic to form dual-masking current-mode CMOS logic (DM-CML). There are 4 possibilities for the mask value, which is random and unpredictable. When the attacker cannot obtain the accurate mask value, the actual calculation result of the circuit cannot be accurately obtained by attackers. The less correlation between data and power consumption enhances circuit ability to resist power analysis attacks. Through the simulation experiment of Hspice, the results show that the DM-CML has the correct logic function and constant power consumption, which enhances its ability to resist power attacks.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114775249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As important components of the Ubiquitous Power Internet of Things, cloud and edge nodes play key technical support roles for its construction. However, data resources stored in them have the characteristics of diverse structure and huge scale. There is an urgent need to improve the efficiency of data sharing services and decision-making responses. This paper builds a data sharing system among cloud and edge nodes to realize information & business collaboration which can promote rapidly responding to advanced services at edge nodes. Based on this system, a method of judging abnormal working conditions in the power distribution station area is proposed. The cloud will use machine learning methods to train the characteristic data and obtain the judgment model. Meanwhile, the edge nodes will judge the abnormal working condition on-site according to the model. It can provide support for the improvement of the regional autonomy and intelligence level of the power distribution station area.
{"title":"Abnormal Working Conditions Judgment Based on Data Sharing System for Power Distribution Station Area","authors":"X. Guo, Hao Liu, Wandeng Mao, Xinyu Meng, Min Fan, Jialu Xia","doi":"10.1109/ICEMI52946.2021.9679590","DOIUrl":"https://doi.org/10.1109/ICEMI52946.2021.9679590","url":null,"abstract":"As important components of the Ubiquitous Power Internet of Things, cloud and edge nodes play key technical support roles for its construction. However, data resources stored in them have the characteristics of diverse structure and huge scale. There is an urgent need to improve the efficiency of data sharing services and decision-making responses. This paper builds a data sharing system among cloud and edge nodes to realize information & business collaboration which can promote rapidly responding to advanced services at edge nodes. Based on this system, a method of judging abnormal working conditions in the power distribution station area is proposed. The cloud will use machine learning methods to train the characteristic data and obtain the judgment model. Meanwhile, the edge nodes will judge the abnormal working condition on-site according to the model. It can provide support for the improvement of the regional autonomy and intelligence level of the power distribution station area.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"70 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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