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RACS2: A Framework of Remote Autonomous Control System for Telescope Observation and its application

Authors :
Wang, Zhi-yue
Zhang, Guang-yu
Wang, Jian
Zhang, Qian
Genga, Zhe
Zhu, Ze-yu
Gu, Jia-Yao
Zheng, Zhen-hao
Zhu, Lu-cheng
Ge, Kun
Zhang, Hong-fei
Wang, Zhi-yue
Zhang, Guang-yu
Wang, Jian
Zhang, Qian
Genga, Zhe
Zhu, Ze-yu
Gu, Jia-Yao
Zheng, Zhen-hao
Zhu, Lu-cheng
Ge, Kun
Zhang, Hong-fei
Publication Year :
2022

Abstract

As the demand of astronomical observation rising, the telescope systems are becoming more and more complex. Thus, the observatory control software needs to be more intelligent, they have to control each instrument inside the observatory, finish the observation tasks autonomously, and report the information to users if needed. We developed a distributed autonomous observatory control framework named Remote Autonomous Control System 2nd, RACS2 to meet these requirements. The RACS2 framework uses decentralized distributed architecture, instrument control software and system service such as observation control service are implemented as different components. The communication between components is implemented based on a high-performance serialization library and a light-weighted messaging library.The interfaces towards python and Experimental Physics and Industrial Control System (EPICS) are implemented, so the RACS2 framework can communicate with EPICS based device control software and python-based software. Several system components including log, executor, scheduler and other modules are developed to help observation. Observation tasks can be programmed with python language, and the plans are scheduled by the scheduler component to achieve autonomous observation.A set of web service is implemented based on the FastAPI framework, with which user can control and manage the framework remotely.Based on the RACS2 framework, we have implemented the DATs telescope's observation system and the space object observation system.We performed remote autonomous observation and received many data with these systems.<br />Comment: 22 pages, 16 figures

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1363565530
Document Type :
Electronic Resource