Owing to its large aperture and advanced receivers,research plans for the Qitai 110 m radio telescope(QTT)include a variety of spectral line scientific studies.Sequential construction of receiver systems and multidisc...Owing to its large aperture and advanced receivers,research plans for the Qitai 110 m radio telescope(QTT)include a variety of spectral line scientific studies.Sequential construction of receiver systems and multidisciplinary planning require overcoming serious challenges to spectral line digital backend development,notably to digitize,process,and transmit considerable quantities of observational data,to minimize time-to-science with an easily scalable architecture,and to provide robust,high-quality data.As a proof-of-concept for the QTT backend,here we implement a baseband spectral line digital backend with a SNAP+GPU architecture.The SNAP-based digital frontend comprises two digitization links(1000 MHz,8-bit),two parallel quad-channel preprocessing modules,a quantization module,and a finite-state packaging module,generating a 100-MHz bandwidth digital link from the original analog signal through high-speed Ethernet transmission.The GPU node receives preprocessed baseband packets,constructs a ring buffer for lossless unpacking and distributing,with real-time data reception and caching,and conducts real-time spectral analysis(frequency resolution:3.051 kHz)of the 100 MHz baseband data.We evaluated system performance experimentally using spectral line observations with the Nanshan 26-m radio telescope(NSRT).For the QTT,the SNAP digital frontend will be seamlessly migrated to a radio frequency system-on-chip(RFSoC)architecture,resulting in five-and tenfold increases in instantaneous bandwidth and data throughput,respectively.The low-coupling digital frontend and GPU node can be easily extended to multiple nodes.展开更多
Conventional machine vision sensors send raw data frame by frame to the backend,generating substantial redundant data movement and causing severe decision latency.This bottleneck becomes much more critical in resource...Conventional machine vision sensors send raw data frame by frame to the backend,generating substantial redundant data movement and causing severe decision latency.This bottleneck becomes much more critical in resource-constrained edges and motion-detection scenarios.Two-dimensional(2D)materials exhibit a range of novel properties in electronic transport,band engineering,and interfacial physics[1-3].展开更多
The open-source Collaboration for Astronomy Signal Processing and Electronics Research(CASPER)toolflow has become a popular choice for building reconfigurable digital backends in radio astronomy.We extend this toolflo...The open-source Collaboration for Astronomy Signal Processing and Electronics Research(CASPER)toolflow has become a popular choice for building reconfigurable digital backends in radio astronomy.We extend this toolflow to the third-party TQ47DR Radio-Frequency System-on-Chip(RFSoC)platform,a cost-effective and widely available board.Our implementation includes a custom PetaLinux system,a lightweight control server,a deterministic clock-management driver,and platform-specific yellow-block adaptations that expose the on-chip data converters and 100-Gigabit Ethernet interfaces.System validation demonstrates high-quality converter performance,stable packet streaming,and real-time spectrometry,confirming that such third-party hardware can be integrated seamlessly into this open-source programming ecosystem for next-generation instruments.展开更多
在现代火电厂生产中,分布式控制系统(Distributed Control System,DCS)通过对各个子系统的协调和优化控制,确保发电过程的高效、安全与稳定。5G凭借高速率、低延迟及广连接性等特点,为火电厂DCS后台控制系统的改进带来新的可能。通过探...在现代火电厂生产中,分布式控制系统(Distributed Control System,DCS)通过对各个子系统的协调和优化控制,确保发电过程的高效、安全与稳定。5G凭借高速率、低延迟及广连接性等特点,为火电厂DCS后台控制系统的改进带来新的可能。通过探讨基于5G的火电厂DCS后台控制系统的设计与实现,介绍该系统的架构、数据传输与监控机制以及性能评估,证实5G能够提高DCS的工作效率和可靠性。通过实际测试证实该系统具有实际应用效果,为今后火电厂控制系统的发展与研究提供一定的科学依据。展开更多
基金supported by the “Light in China’s Western Region” program (2022-XBQNXZ012)by the National Natural Science Foundation of China(12073067)
摘要Owing to its large aperture and advanced receivers,research plans for the Qitai 110 m radio telescope(QTT)include a variety of spectral line scientific studies.Sequential construction of receiver systems and multidisciplinary planning require overcoming serious challenges to spectral line digital backend development,notably to digitize,process,and transmit considerable quantities of observational data,to minimize time-to-science with an easily scalable architecture,and to provide robust,high-quality data.As a proof-of-concept for the QTT backend,here we implement a baseband spectral line digital backend with a SNAP+GPU architecture.The SNAP-based digital frontend comprises two digitization links(1000 MHz,8-bit),two parallel quad-channel preprocessing modules,a quantization module,and a finite-state packaging module,generating a 100-MHz bandwidth digital link from the original analog signal through high-speed Ethernet transmission.The GPU node receives preprocessed baseband packets,constructs a ring buffer for lossless unpacking and distributing,with real-time data reception and caching,and conducts real-time spectral analysis(frequency resolution:3.051 kHz)of the 100 MHz baseband data.We evaluated system performance experimentally using spectral line observations with the Nanshan 26-m radio telescope(NSRT).For the QTT,the SNAP digital frontend will be seamlessly migrated to a radio frequency system-on-chip(RFSoC)architecture,resulting in five-and tenfold increases in instantaneous bandwidth and data throughput,respectively.The low-coupling digital frontend and GPU node can be easily extended to multiple nodes.
基金supported in part by the National Key R&D Program of China(2023YFF1203600)the National Natural Science Foundation of China(62304104 and 62034004)+6 种基金the Leading-edge Technology Program of Jiangsu Natural Science Foundation(BK20232004)the Natural Science Foundation of Jiangsu Province(BK20233001)the AI&AI for Science Project of Nanjing University(14380240,14380242,and 14380005)the Fundamental Research Funds for the Central Universities(14380227,14380247,and 14380250)support from the AIQ Foundation and the e-Science Center of Collaborative Innovation Center of Advanced Microstructuressupported by Open Fund of State Key Laboratory of Infrared Physics(SITP-SKLIP-ZD-2025-01)supported by Nanjing University International Collaboration Initiative.
摘要Conventional machine vision sensors send raw data frame by frame to the backend,generating substantial redundant data movement and causing severe decision latency.This bottleneck becomes much more critical in resource-constrained edges and motion-detection scenarios.Two-dimensional(2D)materials exhibit a range of novel properties in electronic transport,band engineering,and interfacial physics[1-3].
基金supported by the Light in China Western Region program(2022-XBQNXZ-012,2022-XBQNXZ-015)the National Natural Science Foundation of China(12173087)+4 种基金the Foundation of Guizhou Provincial Education Department(KY(2023)059)the Natural Science Foundation of Xinjiang Uygur Autonomous Region(2024D01B88)the National Natural Science Foundation of China(12203094)the Tianshan Talent Training Program(2024TSYCCX0071)Liupanshui Science and Technology Development Project(52020-2024-PT-01)。
摘要The open-source Collaboration for Astronomy Signal Processing and Electronics Research(CASPER)toolflow has become a popular choice for building reconfigurable digital backends in radio astronomy.We extend this toolflow to the third-party TQ47DR Radio-Frequency System-on-Chip(RFSoC)platform,a cost-effective and widely available board.Our implementation includes a custom PetaLinux system,a lightweight control server,a deterministic clock-management driver,and platform-specific yellow-block adaptations that expose the on-chip data converters and 100-Gigabit Ethernet interfaces.System validation demonstrates high-quality converter performance,stable packet streaming,and real-time spectrometry,confirming that such third-party hardware can be integrated seamlessly into this open-source programming ecosystem for next-generation instruments.
摘要在现代火电厂生产中,分布式控制系统(Distributed Control System,DCS)通过对各个子系统的协调和优化控制,确保发电过程的高效、安全与稳定。5G凭借高速率、低延迟及广连接性等特点,为火电厂DCS后台控制系统的改进带来新的可能。通过探讨基于5G的火电厂DCS后台控制系统的设计与实现,介绍该系统的架构、数据传输与监控机制以及性能评估,证实5G能够提高DCS的工作效率和可靠性。通过实际测试证实该系统具有实际应用效果,为今后火电厂控制系统的发展与研究提供一定的科学依据。