Aiming at the lack of effective visualization strategies for the operation and maintenance of the telescope drive system, this paper proposes to use digital twin technology to improve telescope driving system visualization. Firstly, visual modeling techniques are used to construct the digital twin model of the telescope drive system. Then, the mapping relationship between the physical and digital twin of the telescope drive system is established, and the real-time mapping of the digital twin operation status is realized through the physical parameters, historical operation data and sensor data of the drive system. Finally, the intelligent operation and maintenance strategy of the telescope is formulated using the digital twin of the drive system visualization. This research will solve the visualization problems in the telescope drive system, and has practical significance for improving the operation efficiency of the telescope and formulating efficient maintenance strategies.
More and more astronomical instruments have been installed in extreme environment such as Antarctica because of good seeing. However it’s not good for electromechanical system of astronomical telescope due to the harsh environment. This paper presents the study of the unanticipated states of direct drive system of extremely large telescope in extreme environment. The unanticipated states which are short of priori knowledge will degrade the reliability of monitor system significantly and put the self-diagnosis system into trouble.
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