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2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)最新文献

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Research and Implementation of a Grid-Source Coordination Management Platform Based on Dispatching and Control Cloud 基于调度控制云的网源协调管理平台的研究与实现
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998904
Li Lu, Chao Sun, Tianyu Wang, Jiali Wu, Kai-bo Zhang, Z. Huang
{"title":"Research and Implementation of a Grid-Source Coordination Management Platform Based on Dispatching and Control Cloud","authors":"Li Lu, Chao Sun, Tianyu Wang, Jiali Wu, Kai-bo Zhang, Z. Huang","doi":"10.1109/DTPI55838.2022.9998904","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998904","url":null,"abstract":"Ultra-high voltage alternating current and direct current transmission in Zhejiang Province has experienced a rapid development in recent years., which poses a great challenge to the management of grid and source coordination. In this paper., an effective grid and source coordination management platform based on dispatching and control cloud is established to achieve the management and deepening utilization of grid and source coordination data., contributing to the operational safety of the Zhejiang power grid. Meanwhile., the information sharing of the provincial dispatching center and unified power plants can be realized through the platform., which can improve the efficiency of the grid and source coordination management. Several ultrahigh voltage grid DC blocking faults in the Zhejiang power grid were analyzed. The results show that the primary frequency regulation capacity of the Zhejiang power grid has been significantly improved after the effective strategies in the platform were implemented.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123872263","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}
引用次数: 0
A Digital Twin City Model for Capturing Walkability Distress of Elderly Adults 捕捉老年人步行困境的数字双城模型
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998907
Theodora Chaspari, Jinwoo Kim, Chanam Lee, Youngjib Ham, Sanghyun Lee, C. Ahn
{"title":"A Digital Twin City Model for Capturing Walkability Distress of Elderly Adults","authors":"Theodora Chaspari, Jinwoo Kim, Chanam Lee, Youngjib Ham, Sanghyun Lee, C. Ahn","doi":"10.1109/DTPI55838.2022.9998907","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998907","url":null,"abstract":"This paper overviews the design of a digital twin city (DTC) model that captures and quantifies walkability distress of older adults via harnessing experiential and physiological data collected from mobile phones and wearable sensor devices. Based on a transdisciplinary endeavor among construction science, urban planning & landscape architecture, civil engineering, computer science, and public health, the goals of this work are to: (1) create a DTC model that quantifies older adults' collective distress and associated environmental conditions; and (2) leverage the DTC model to develop and evaluate technological and environmental interventions to alleviate older adults' distress while walking, which can lead to promoting their independent mobility and health. This research is conducted in collaboration with local stakeholders and older adults in an underserved neighborhood in Houston, TX, Magnolia Park-Manchester. This paper will discuss the experimental design, community engagement activities, and tentative design of interventions driven by convergent insights obtained from data analysis and community feedback to improve mobility of older adults in the urban environment.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128134575","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}
引用次数: 1
Short-Term State Electricity Load Forecasting Based on Transfer-Informer 基于转移信息的短期状态电力负荷预测
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998911
Yuqi Jiang, Yuxin Dai, Ruiqi Si, Jiuxiang Chen, Tianlu Gao, Jun Zhang
{"title":"Short-Term State Electricity Load Forecasting Based on Transfer-Informer","authors":"Yuqi Jiang, Yuxin Dai, Ruiqi Si, Jiuxiang Chen, Tianlu Gao, Jun Zhang","doi":"10.1109/DTPI55838.2022.9998911","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998911","url":null,"abstract":"The worldwide COVID-19 pandemic has caused an enormous impact on the operation mode of human society. Such sudden events bring sharp fluctuations and data inadequacy in datasets of several areas, which leads to challenges in solving related problems. Traditional deep learning models like CNN have shown relatively poor performance with small datasets during the COVID-19 pandemic. This is because the data insufficiency and fluctuations lead to serious problems in the training process. In our work, an Informer framework combined with Transfer learning methods (Transfer-Informer) is proposed to solve the data insufficiency in emergency situations, as well as to provide a more efficient self-attention mechanism for deep feature mining, with two distinctive advantages: (1) The ProbSpares self-attention mechanisms, which enables the proposed model to highlight dominant information and extract more typical features from time-series datasets. (2) The Transfer learning framework improves the generalization capability of the model, by transferring basic knowledge from normal situations to emergency cases with fewer data. In our experiments, Transfer-Informer is applied to short-term load forecasting, which achieves better predicting accuracy than traditional models. The empirical results indicate that the proposed model has put forward a baseline for short-term load forecasting in emergency situations and provided a feasible method to tackle sudden fluctuations in real problem-solving.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116627766","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}
引用次数: 0
Thermo-Mechanical Coupled Digital Simulation of Torque Sensor Based on Parallel Systems 基于并联系统的扭矩传感器热-机耦合数字仿真
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998919
Xueqin Wang, Wanxin Hu, Lemeng Qin
{"title":"Thermo-Mechanical Coupled Digital Simulation of Torque Sensor Based on Parallel Systems","authors":"Xueqin Wang, Wanxin Hu, Lemeng Qin","doi":"10.1109/DTPI55838.2022.9998919","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998919","url":null,"abstract":"At present, the calibration of most torque sensors is carried out in an ideal laboratory environment. But the temperature around the torque sensor can vary widely in practical applications. The thermal radiation from ambient temperature usually causes the elastic element of the sensor to deviate from Hooke's law and resulting in errors. Based on this problem, we establish the digital simulation and an artificial system of a certain type of strain torque sensor by thermo-mechanical coupled digital simulation method, and we calculate the time-temperature distribution models and the time-elastic modulus distribution model of sensors under different working conditions by finite element thermal analysis and transient force analysis method. Finally, we summarize some change rule of the torque sensor parameters like elastic modulus or shear stress with temperature. So as to obtain the influence mechanism of temperature on the torque sensor, which provides a basis for the improvement of calibration method.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129829157","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}
引用次数: 0
A Semantic Overlay on Blockchain for Supporting Traceability in Cross-border Logistics 支持跨境物流可追溯性的区块链语义叠加
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998924
Xiaoping Sun
{"title":"A Semantic Overlay on Blockchain for Supporting Traceability in Cross-border Logistics","authors":"Xiaoping Sun","doi":"10.1109/DTPI55838.2022.9998924","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998924","url":null,"abstract":"Traceability is important for maintaining quality of logistics transactions and improving logistics efficiency. Implementing traceability for cross-border logistics is facing challenges when it lacks global centralized logistics information management services. Blockchain techniques enable a decentralized cross-border logistics management by publishing logistics transaction on blockchain transactions to support privacy protection and traceability. Logistics transactions involves complex interactions among participants. How to publish those interactions on a blockchain platform is a challenge. We propose a semantic overlay model that publishes a logistics transaction as a semantic link on a blockchain platform for supporting traceability. A semantic link schema model is designed and published on the blockchain platform to validate semantics links for ensuring the correctness of logistics transaction execution. The proposed semantic overlay on blockchain supports further extension of semantic computing in decentralized applications.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128191450","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}
引用次数: 0
Semi-supervised Regression under Federated Learning Framework Based on Partial Information Estimation 基于部分信息估计的联邦学习框架下的半监督回归
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998983
Xilin Tang, Guanfu Liu, Ping Dong
{"title":"Semi-supervised Regression under Federated Learning Framework Based on Partial Information Estimation","authors":"Xilin Tang, Guanfu Liu, Ping Dong","doi":"10.1109/DTPI55838.2022.9998983","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998983","url":null,"abstract":"Nowadays, data becomes a valuable asset. More people even governments are increasing attention to data sharing and privacy protection. Federated Learning helps to protect privacy and break data island, which is favored by many scholars for its unique advantages. However, less research related to Federated Learning focused on regression problems, not to mention semi-supervised regression. In this paper, we propose the semi-supervised regression under Federated Learning framework based on Partial Information Estimation (Fed-PI), and the effectiveness of models are verified by Monte Carlo simulations. Through the use of Concrete dataset, we experimentally demonstrate that our algorithm performs better compare with the result of other models. These findings would encourage Federated Learning applied to more areas and increase interoperability.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133316689","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}
引用次数: 0
Vision-based UAV autonomous landing systems 基于视觉的无人机自主着陆系统
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998977
Junjie Yang, Xuan Li
{"title":"Vision-based UAV autonomous landing systems","authors":"Junjie Yang, Xuan Li","doi":"10.1109/DTPI55838.2022.9998977","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998977","url":null,"abstract":"Unmanned aerial vehicles (UAVs) have been widely used in suburban traffic planning and guidance, but their short endurance and limited range still affect the application prospect of UAVs. Therefore, the heterogeneous system between UAVs and intelligent vehicles (IVs) can effectively solve this problem. We propose a vision based UAV autonomous landing system and construct a traffic simulation scene based on a complex urban road. This paper uses the gazebo-based simulation platform to test the whole heterogeneous autonomous landing system in different conditions. The quadrotor UAVs are equipped with a monocular camera to detect landmarks. Then, the PID-based controller is used to autonomously land our UAVs. The experiments are conducted using different flight heights. The experimental results indicate that:1) the simulation platform can quantitatively analyze heterogeneous autonomous landing system performance. 2) sufficient adjustment time and higher landmark recognition metrics can effectively improve the landing performance of UAVs.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123475760","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}
引用次数: 1
Digital Twin Based Operation Support System of Nuclear Power Plant 基于数字孪生的核电站运行保障系统
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998936
Ziakng Li, Hang Wang, M. Peng, Ren-yi Xu, Yue Yu, Gui Zhou
{"title":"Digital Twin Based Operation Support System of Nuclear Power Plant","authors":"Ziakng Li, Hang Wang, M. Peng, Ren-yi Xu, Yue Yu, Gui Zhou","doi":"10.1109/DTPI55838.2022.9998936","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998936","url":null,"abstract":"This paper presents an operational support framework for the nuclear power plant based on digital twin. Aiming at the reactor primary loop system and chemical and volume control system, high-precision models for operation state analysis and prediction are established, and the functions of online condition monitoring, fault detection, and diagnosis of the nuclear power plant are realized by artificial intelligence method. a simple and efficient visual interface is developed to effectively reduce the workload, mental stress, and human error probability of operators. The method proposed in this paper provides a theoretical and technical basis for improving the efficiency of operation, maintenance, and the ability of accident emergency response, which finally enhances the intelligence and safety of nuclear power plants.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123672019","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}
引用次数: 0
Condition Monitoring of Wind Turbines Through Image Similarity Evaluation 基于图像相似度评价的风力发电机组状态监测
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998902
Tianyu Wang, Ye Su, Jiangfeng Zhang, Junyu Cai, Liyun Hua
{"title":"Condition Monitoring of Wind Turbines Through Image Similarity Evaluation","authors":"Tianyu Wang, Ye Su, Jiangfeng Zhang, Junyu Cai, Liyun Hua","doi":"10.1109/DTPI55838.2022.9998902","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998902","url":null,"abstract":"The condition monitoring of wind turbines is essential in a wide range of industrial fields for operational safety and efficiency. A smart visual system is proposed in this paper to achieve blade speed and tower vibration measurements through image similarity evaluation and advanced signal processing techniques. First, the similarity levels of a wind turbine image sequence are determined through the zero-normalized crosscorrelation algorithm. Then, an improved short-time autocorrelation method is utilized to process the resulting image similarity signal to derive the blade speed. Meanwhile, vibration information of the wind turbine tower is obtained through the spectral analysis of the image similarity signal of the tower region. The experimental data collected on a direct drive permanent magnet wind turbine illustrate that the blade speed and the tower vibration frequency can be measured accurately, confirming the feasibility of this technique for condition monitoring of wind turbines.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121882153","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}
引用次数: 0
Digital Spectrum Twinning for Next-Generation Spectrum Management and Metering 用于下一代频谱管理和计量的数字频谱孪生
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998981
G. Durgin, Michael A. Varner, Neal Patwari, S. Kasera, J. V. D. Merwe
{"title":"Digital Spectrum Twinning for Next-Generation Spectrum Management and Metering","authors":"G. Durgin, Michael A. Varner, Neal Patwari, S. Kasera, J. V. D. Merwe","doi":"10.1109/DTPI55838.2022.9998981","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998981","url":null,"abstract":"This paper further develops the concept of a digital spectrum twin (DST), which can be used to enhance dynamic radio access and spectrum management. Specifically, we define the three types of parallel intelligence at work in a DST. With this framework, we demonstrate with economic principles and an illustrative case study the importance of spectrum metering on a DST-enabled radioscape.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126634557","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}
引用次数: 4
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