Terminal devices deployed in outdoor environments are facing a thorny problem of power supply.Data and energy integrated network(DEIN)is a promising technology to solve the problem,which simultaneously transfers data ...Terminal devices deployed in outdoor environments are facing a thorny problem of power supply.Data and energy integrated network(DEIN)is a promising technology to solve the problem,which simultaneously transfers data and energy through radio frequency signals.State-of-the-art researches mostly focus on theoretical aspects.By contrast,we provide a complete design and implementation of a fully functioning DEIN system with the support of an unmanned aerial vehicle(UAV).The UAV can be dispatched to areas of interest to remotely recharge batteryless terminals,while collecting essential information from them.Then,the UAV uploads the information to remote base stations.Our system verifies the feasibility of the DEIN in practical applications.展开更多
In order to satisfy the ever-increasing energy appetite of the massive battery-powered and batteryless communication devices,radio frequency(RF)signals have been relied upon for transferring wireless power to them.The...In order to satisfy the ever-increasing energy appetite of the massive battery-powered and batteryless communication devices,radio frequency(RF)signals have been relied upon for transferring wireless power to them.The joint coordination of wireless power transfer(WPT)and wireless information transfer(WIT)yields simultaneous wireless information and power transfer(SWIPT)as well as data and energy integrated communication network(DEIN).However,as a promising technique,few efforts are invested in the hardware implementation of DEIN.In order to make DEIN a reality,this paper focuses on hardware implementation of a DEIN.It firstly provides a brief tutorial on SWIPT,while summarising the latest hardware design of WPT transceiver and the existing commercial solutions.Then,a prototype design in DEIN with full protocol stack is elaborated,followed by its performance evaluation.展开更多
With the rapid development of the mobile internet and the massive deployment of the Internet of Things, mobile devices, including both the consumer electronics and the sensors, become hungrier for the energy than ever...With the rapid development of the mobile internet and the massive deployment of the Internet of Things, mobile devices, including both the consumer electronics and the sensors, become hungrier for the energy than ever before. Conventional cable based charging largely restrict the movement of the mobile devices. Wireless charging hence emerges as an essential technique for enabling our ultimate goal of charging anytime and anywhere. By efficiently exploiting the legacy of the existing communication infrastructure, we propose a nov- el data and energy integrated network （DEIN） in order to re- alise the radio frequency （RF） based wireless charging with- out degrading the information transmission. In this treatise, we focus on the implementation of the DEIN in both the theoretical and practical aspects, concerning the transceiver architecture design and the rectifier circuit design. Furthermore, we also present a Wi-Fi based testbed for demonstrating the availability of the RF based wireless charging.展开更多
The Global Energy Interconnection is an important strategic approach used to achieve efficient worldwide energy allocation.The idea of developing integrated power,information,and transportation networks provides incre...The Global Energy Interconnection is an important strategic approach used to achieve efficient worldwide energy allocation.The idea of developing integrated power,information,and transportation networks provides increased power interconnection functionality and meaning,helps condense forces,and accelerates the integration of global infrastructure.Correspondingly,it is envisaged that it will become the trend of industrial technological development in the future.In consideration of the current trend of integrated development,this study evaluates a possible plan of coordinated development of fiber-optic and power networks in the Pan-Arctic region.Firstly,the backbone network architecture of Global Energy Interconnection is introduced and the importance of the Arctic energy backbone network is confirmed.The energy consumption and developmental trend of global data centers are then analyzed.Subsequently,the global network traffic is predicted and analyzed by means of a polynomial regression model.Finally,in combination with the current construction of fiber-optic networks in the Pan-Arctic region,the advantages of the integration of the fiber-optic and power networks in this region are clarified in justification of the decision for the development of a Global Energy Interconnection scheme.展开更多
对于用能数据不足的综合能源系统,借助相似系统的丰富数据可以为其建立高精度的多元负荷预测模型,然而,受数据安全等因素的限制,很多系统并不愿意共享自身数据。联邦学习为处理隐私保护下的少数据综合能源多元负荷预测问题提供了一个重...对于用能数据不足的综合能源系统,借助相似系统的丰富数据可以为其建立高精度的多元负荷预测模型,然而,受数据安全等因素的限制,很多系统并不愿意共享自身数据。联邦学习为处理隐私保护下的少数据综合能源多元负荷预测问题提供了一个重要的思路,但是现有方法依然存在相似参与方识别精度不高等不足。鉴于此,本文提出一种融合联邦学习和长短期记忆网络(long short-term memory,LSTM)的少数据综合能源多元负荷预测方法(multitask learning based on shared dot product confidentiality under federated learning,MT-SDPFL)。首先,给出一种基于共享向量点积保密协议的相似参与方识别方法,用来从诸多可用的综合能源系统中选出最为相似的参与方;接着,使用参数共享联邦学习算法对选中的各参与方联合训练,结合LSTM和finetune技术建立每个参与方的多元负荷预测模型。将所提方法应用于多个实际能源系统,实验结果表明,该方法可以在数据稀疏的情况下取得高精度的多源负荷预测结果。展开更多
With the popularity of the Internet and improvement of information technology,digital information sharing increasingly becomes the trend.More and More universities pay attention to the digital campus,and the construct...With the popularity of the Internet and improvement of information technology,digital information sharing increasingly becomes the trend.More and More universities pay attention to the digital campus,and the construction of digital library has become the focus of digital campus.A set of manageable,authenticated and secure solutions are needed for remote access to make the campus network be a transit point for the outside users.Remote Access IPSEC Virtual Private Network gives the solution of remote access to e-library resources,networks resources and so on very safely through a public network.It establishes a safe and stable tunnel which encrypts the data passing through it with robust secured algorithms.It is to establish a virtual private network in Internet,so that the two long-distance network users can transmit data to each other in a dedicated network channel.Using this technology,multi-network campus can communicate securely in the unreliable public internet.展开更多
综合能源系统(Integrated energy system,IES)运行状态分析常以广泛化信息技术应用提供的数据为支撑,然而传感器故障、网络通信中断等信息异常导致的数据缺失会直接影响数据质量.在考虑数据缺失的情况下,本文提出了一种基于关联信息对...综合能源系统(Integrated energy system,IES)运行状态分析常以广泛化信息技术应用提供的数据为支撑,然而传感器故障、网络通信中断等信息异常导致的数据缺失会直接影响数据质量.在考虑数据缺失的情况下,本文提出了一种基于关联信息对抗学习的综合能源系统运行状态分析方法.首先构建深度生成对抗网络(Generative adversarial network,GAN)对数据缺失部分进行可靠性补偿.在设计生成器结构过程中,通过引入系统拓扑邻接矩阵对生成器输入数据进行优化排序,进而在训练过程中采用设计的多属性融合生成器损失函数,促使生成器进一步得到高精度补偿数据.接着将判别器提取的不同时刻完整能源数据的特征作为基础,采用浅层特征分布及深层特征信息差异值融合判断,从而实现系统运行状态分析.最后对不同数据缺失补偿及不同类型节点改变情况进行仿真,验证了本文所提方法的可行性与有效性.展开更多
高效准确的态势感知技术是电-气综合能源系统(electricity-gas integrated energy system,EGIES)运行风险预警的关键。但是,传统电力系统的态势感知技术无法完全适用EGIES的强非线性与异能耦合特性。数据驱动技术的快速发展为EGIES态势...高效准确的态势感知技术是电-气综合能源系统(electricity-gas integrated energy system,EGIES)运行风险预警的关键。但是,传统电力系统的态势感知技术无法完全适用EGIES的强非线性与异能耦合特性。数据驱动技术的快速发展为EGIES态势感知提供了新思路。为此,该文提出了考虑时序相关性的数据驱动电-气综合能源系统态势感知方法。在态势察觉阶段,利用状态估计对量测噪声进行滤波处理,求解EGIES状态量并察觉系统偏离量;在态势理解阶段,基于格拉姆角差场理论对历史偏离量变化进行时序相关性理解,同时对未来偏离量变化进行运行趋势定性理解;在态势预测阶段,建立卷积神经网络模型,利用历史偏离量预测系统未来运行趋势。基于14节点电力系统与7节点天然气系统耦合系统的算例分析表明,所提方法相比于长短期记忆神经网络、支持向量机方法的预测准确率分别提高2.87%、4.95%,其在训练集占比改变时具有更高的预测准确率。展开更多
基金partly funded by Natural Science Foundation of China(No.61971102 and 62132004)Sichuan Science and Technology Program(No.22QYCX0168)the Municipal Government of Quzhou(Grant No.2021D003)。
文摘Terminal devices deployed in outdoor environments are facing a thorny problem of power supply.Data and energy integrated network(DEIN)is a promising technology to solve the problem,which simultaneously transfers data and energy through radio frequency signals.State-of-the-art researches mostly focus on theoretical aspects.By contrast,we provide a complete design and implementation of a fully functioning DEIN system with the support of an unmanned aerial vehicle(UAV).The UAV can be dispatched to areas of interest to remotely recharge batteryless terminals,while collecting essential information from them.Then,the UAV uploads the information to remote base stations.Our system verifies the feasibility of the DEIN in practical applications.
基金financial support of National Natural Science Foundation of China(NSFC),No.U1705263 and 61971102GF Innovative Research Programthe Sichuan Science and Technology Program,No.2019YJ0194。
文摘In order to satisfy the ever-increasing energy appetite of the massive battery-powered and batteryless communication devices,radio frequency(RF)signals have been relied upon for transferring wireless power to them.The joint coordination of wireless power transfer(WPT)and wireless information transfer(WIT)yields simultaneous wireless information and power transfer(SWIPT)as well as data and energy integrated communication network(DEIN).However,as a promising technique,few efforts are invested in the hardware implementation of DEIN.In order to make DEIN a reality,this paper focuses on hardware implementation of a DEIN.It firstly provides a brief tutorial on SWIPT,while summarising the latest hardware design of WPT transceiver and the existing commercial solutions.Then,a prototype design in DEIN with full protocol stack is elaborated,followed by its performance evaluation.
基金supported by University of Electronic Science and Technology of China under Grant No.ZYGX2016KYQD103
文摘With the rapid development of the mobile internet and the massive deployment of the Internet of Things, mobile devices, including both the consumer electronics and the sensors, become hungrier for the energy than ever before. Conventional cable based charging largely restrict the movement of the mobile devices. Wireless charging hence emerges as an essential technique for enabling our ultimate goal of charging anytime and anywhere. By efficiently exploiting the legacy of the existing communication infrastructure, we propose a nov- el data and energy integrated network （DEIN） in order to re- alise the radio frequency （RF） based wireless charging with- out degrading the information transmission. In this treatise, we focus on the implementation of the DEIN in both the theoretical and practical aspects, concerning the transceiver architecture design and the rectifier circuit design. Furthermore, we also present a Wi-Fi based testbed for demonstrating the availability of the RF based wireless charging.
基金supported by the Corporation Science and Technology Program of Global Energy Interconnection Group Ltd. (GEIGC-D-[2018]024)by the National Natural Science Foundation of China (61472042, 61772079)
文摘The Global Energy Interconnection is an important strategic approach used to achieve efficient worldwide energy allocation.The idea of developing integrated power,information,and transportation networks provides increased power interconnection functionality and meaning,helps condense forces,and accelerates the integration of global infrastructure.Correspondingly,it is envisaged that it will become the trend of industrial technological development in the future.In consideration of the current trend of integrated development,this study evaluates a possible plan of coordinated development of fiber-optic and power networks in the Pan-Arctic region.Firstly,the backbone network architecture of Global Energy Interconnection is introduced and the importance of the Arctic energy backbone network is confirmed.The energy consumption and developmental trend of global data centers are then analyzed.Subsequently,the global network traffic is predicted and analyzed by means of a polynomial regression model.Finally,in combination with the current construction of fiber-optic networks in the Pan-Arctic region,the advantages of the integration of the fiber-optic and power networks in this region are clarified in justification of the decision for the development of a Global Energy Interconnection scheme.
文摘对于用能数据不足的综合能源系统,借助相似系统的丰富数据可以为其建立高精度的多元负荷预测模型,然而,受数据安全等因素的限制,很多系统并不愿意共享自身数据。联邦学习为处理隐私保护下的少数据综合能源多元负荷预测问题提供了一个重要的思路,但是现有方法依然存在相似参与方识别精度不高等不足。鉴于此,本文提出一种融合联邦学习和长短期记忆网络(long short-term memory,LSTM)的少数据综合能源多元负荷预测方法(multitask learning based on shared dot product confidentiality under federated learning,MT-SDPFL)。首先,给出一种基于共享向量点积保密协议的相似参与方识别方法,用来从诸多可用的综合能源系统中选出最为相似的参与方;接着,使用参数共享联邦学习算法对选中的各参与方联合训练,结合LSTM和finetune技术建立每个参与方的多元负荷预测模型。将所提方法应用于多个实际能源系统,实验结果表明,该方法可以在数据稀疏的情况下取得高精度的多源负荷预测结果。
文摘With the popularity of the Internet and improvement of information technology,digital information sharing increasingly becomes the trend.More and More universities pay attention to the digital campus,and the construction of digital library has become the focus of digital campus.A set of manageable,authenticated and secure solutions are needed for remote access to make the campus network be a transit point for the outside users.Remote Access IPSEC Virtual Private Network gives the solution of remote access to e-library resources,networks resources and so on very safely through a public network.It establishes a safe and stable tunnel which encrypts the data passing through it with robust secured algorithms.It is to establish a virtual private network in Internet,so that the two long-distance network users can transmit data to each other in a dedicated network channel.Using this technology,multi-network campus can communicate securely in the unreliable public internet.
文摘综合能源系统(Integrated energy system,IES)运行状态分析常以广泛化信息技术应用提供的数据为支撑,然而传感器故障、网络通信中断等信息异常导致的数据缺失会直接影响数据质量.在考虑数据缺失的情况下,本文提出了一种基于关联信息对抗学习的综合能源系统运行状态分析方法.首先构建深度生成对抗网络(Generative adversarial network,GAN)对数据缺失部分进行可靠性补偿.在设计生成器结构过程中,通过引入系统拓扑邻接矩阵对生成器输入数据进行优化排序,进而在训练过程中采用设计的多属性融合生成器损失函数,促使生成器进一步得到高精度补偿数据.接着将判别器提取的不同时刻完整能源数据的特征作为基础,采用浅层特征分布及深层特征信息差异值融合判断,从而实现系统运行状态分析.最后对不同数据缺失补偿及不同类型节点改变情况进行仿真,验证了本文所提方法的可行性与有效性.
文摘高效准确的态势感知技术是电-气综合能源系统(electricity-gas integrated energy system,EGIES)运行风险预警的关键。但是,传统电力系统的态势感知技术无法完全适用EGIES的强非线性与异能耦合特性。数据驱动技术的快速发展为EGIES态势感知提供了新思路。为此,该文提出了考虑时序相关性的数据驱动电-气综合能源系统态势感知方法。在态势察觉阶段,利用状态估计对量测噪声进行滤波处理,求解EGIES状态量并察觉系统偏离量;在态势理解阶段,基于格拉姆角差场理论对历史偏离量变化进行时序相关性理解,同时对未来偏离量变化进行运行趋势定性理解;在态势预测阶段,建立卷积神经网络模型,利用历史偏离量预测系统未来运行趋势。基于14节点电力系统与7节点天然气系统耦合系统的算例分析表明,所提方法相比于长短期记忆神经网络、支持向量机方法的预测准确率分别提高2.87%、4.95%,其在训练集占比改变时具有更高的预测准确率。
