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Artificial intelligent agent to assist the telescope operation as a troubleshooter using a voice-user interface

机译:人工智能代理商,使用语音用户界面协助望远镜操作作为故障排除程序

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The Gran Telescopio Canarias (GTC) is a 10.4-meter optical-infrared telescope located at the Roque de los Muchachos Observatory on the island of La Palma, Spain. Like any modern telescope, it has a high degree of automation and complexity, being made up of hundreds of subsystems that work in a coordinated way to carry out a scientific observation. Even the control system is at a good level of maturity, on certain occasions, when an unwanted event occurs, it sometimes becomes difficult to identify its cause and thus restore the system to its nominal state efficiently. There are three pillars that can be worked on to reduce the time lost due to technical failures: reduce the frequency of occurrence, reduce the impact after the occurrence or increase the detection capacity. However, the system will never be fault-free, so it will always be necessary to develop a system that allows a diagnosis to be made. Ideally, the diagnosis should be made with the information provided by the control system itself and other services that verify the status of the platform, and therefore, with minimal interaction with the user. On the other hand, due to the great variety of faults, and the need to carry out the diagnosis as soon as possible, a voice user interface will be used, in such a way that the operator can indicate the fault that is occurring, using natural language. As a proof of concept, a subsystem diagnostic service has been developed, a thermal monitoring subsystem, a service in charge of providing thermal values of the telescope structure to build a thermal model. During the implementation of this diagnostic service, the need for changes in the software design has already been identified to include the information necessary to generate a good diagnosis, which will indicate to the operator: which part is failing, where it is located and the instruction to replace it. Consequently, it has been proven that extending it to the rest of the control system will bring immediate benefits.
机译:Gran Telescopio Canarias(GTC)是一个10.4米的光红外望远镜,位于西班牙La Palma岛的Roque de Los Mobetachos天文台。与任何现代望远镜一样,它具有高度的自动化和复杂性,由数百种子系统构成,以协调的方式开展科学观察。即使是控制系统在某些情况下也处于良好的成熟程度,当发生不需要的事件时,当发生不需要的事件时,有时难以识别其原因,从而有效地将系统恢复到其标称状态。有三个柱子可以致力于减少由于技术故障导致的时间:降低发生频率,减少发生或提高检测能力后的影响。但是,系统永远不会无故障,因此始终需要开发一个允许进行诊断的系统。理想情况下,应使用控制系统本身提供的信息和验证平台状态的其他服务以及与用户的互动最小的信息进行诊断。另一方面,由于多种故障,并且需要尽快执行诊断,因此将使用语音用户界面,以这样的方式,操作员可以指示发生的故障,使用自然语言。作为概念证明,已经开发了一个子系统诊断服务,是热监测子系统,负责提供望远镜结构的热值以构建热模型的服务。在执行此诊断服务期间,已经识别出对软件设计中的更改的需求,包括生成良好诊断所需的信息,这将向操作员指示:哪个部分失败,它位于所在的位置和指令更换它。因此,已经证明,将其扩展到控制系统的其余部分将带来立即效益。

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