As a facility used for astronomical research, the Lijiang 2.4-m telescope of Yunnan Astronomical Observatories, requires the ability to change one auxiliary instrument with another in as short a time as possible. This...As a facility used for astronomical research, the Lijiang 2.4-m telescope of Yunnan Astronomical Observatories, requires the ability to change one auxiliary instrument with another in as short a time as possible. This arises from the need to quickly respond to scientific programs （e.g. transient observation, time domain studies） and changes in observation conditions （e.g. seeing and weather conditions）. In this paper, we describe the design, construction and test of hardware and software in the rapid instrument exchange system （RIES） for the Cassegrain focal station of this telescope, which enables instruments to be quickly changed at night without much loss of observing time. Tests in the laboratory and at the telescope show that the image quality and pointing accuracy of RIES are satisfactory. With RIES, we observed the same Landolt standard stars almost at the same time with the Princeton Instruments VersArray 1300B Camera （PICCD） and the Yunnan Faint Object Spectrograph and Camera （YFOSC）, while both were mounted at the Cassegrain focus. A quasi-simultaneous comparison shows that the image quality of the optical system inside the YFOSC is comparable with that provided by the PICCD.展开更多
旨在探索面向5G网络的自动化运维(Operation and Maintenance,O&M)技术,并进行实践应用。通过自动化运维技术的引入和对大量的运维数据的分析和建模,利用机器学习算法进行故障诊断和预测,提出了智能化的运维系统,验证了自动化运维...旨在探索面向5G网络的自动化运维(Operation and Maintenance,O&M)技术,并进行实践应用。通过自动化运维技术的引入和对大量的运维数据的分析和建模,利用机器学习算法进行故障诊断和预测,提出了智能化的运维系统,验证了自动化运维技术在5G网络中的有效性和可行性。研究结果表明,通过引入自动化运维技术,能够极大提高5G网络的运维效率。自动化运维系统能够实时监测网络状态、识别故障和异常情况,并自动进行故障定位和修复。基于机器学习算法,能够实现故障的即时诊断和预测,从而提前采取预防措施。实验结果显示,引入自动化运维技术后,网络故障率显著降低,网络性能和用户体验得到了显著改善。这对于保障5G网络的可靠性、稳定性和可持续发展具有重要意义。展开更多
基金Supported by the National Natural Science Foundation of China
文摘As a facility used for astronomical research, the Lijiang 2.4-m telescope of Yunnan Astronomical Observatories, requires the ability to change one auxiliary instrument with another in as short a time as possible. This arises from the need to quickly respond to scientific programs （e.g. transient observation, time domain studies） and changes in observation conditions （e.g. seeing and weather conditions）. In this paper, we describe the design, construction and test of hardware and software in the rapid instrument exchange system （RIES） for the Cassegrain focal station of this telescope, which enables instruments to be quickly changed at night without much loss of observing time. Tests in the laboratory and at the telescope show that the image quality and pointing accuracy of RIES are satisfactory. With RIES, we observed the same Landolt standard stars almost at the same time with the Princeton Instruments VersArray 1300B Camera （PICCD） and the Yunnan Faint Object Spectrograph and Camera （YFOSC）, while both were mounted at the Cassegrain focus. A quasi-simultaneous comparison shows that the image quality of the optical system inside the YFOSC is comparable with that provided by the PICCD.
文摘旨在探索面向5G网络的自动化运维(Operation and Maintenance,O&M)技术,并进行实践应用。通过自动化运维技术的引入和对大量的运维数据的分析和建模,利用机器学习算法进行故障诊断和预测,提出了智能化的运维系统,验证了自动化运维技术在5G网络中的有效性和可行性。研究结果表明,通过引入自动化运维技术,能够极大提高5G网络的运维效率。自动化运维系统能够实时监测网络状态、识别故障和异常情况,并自动进行故障定位和修复。基于机器学习算法,能够实现故障的即时诊断和预测,从而提前采取预防措施。实验结果显示,引入自动化运维技术后,网络故障率显著降低,网络性能和用户体验得到了显著改善。这对于保障5G网络的可靠性、稳定性和可持续发展具有重要意义。
