现场报道:民防演习储气

Gerald Steinbauer, Johannes Maurer, Andreas Ciossek
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引用次数: 4

摘要

移动机器人有很大的潜力支持响应者减轻各种灾害,从危险材料的人为事故到建筑物倒塌的自然地震。虽然机器人在研究和救灾演习中的应用实例很多,但在实际任务中的应用实例很少。其原因是机器人系统的部署并不简单,而且许多系统还不够健壮和稳定。因此,实际上基本上没有灾难反应小组在现场拥有和部署机器人。因此,目前的机器人系统来自大学或公司等外部机构,由外部专家操作。这种要求外部支持救灾的请求已经很普遍了。例如,参见[1]中使用欧洲民事保护机制(EUCP)的例子。因为这种情况必须被接受,直到机器人真正容易使用,并且必须找到允许处理这种设置的稳定程序。响应者接受这种设置的一个关键因素是机器人和外部专家在任务中的容易整合。在本文中,我们提出了一个应急响应演习的结果(在一个气体储存中的火灾),其中特别关心这些因素被采取。在本文的其余部分,我们将激励和讨论我们用于外部机器人团队的团队结构,并介绍练习的大纲和结果。我们将以在练习中得到的一些经验教训来结束本文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Field report: Civil protection exercise gas storage
There is a lot potential for mobile robots supporting responders mitigating various kinds of disasters ranging from manmade accidents with hazard materials to natural earthquakes with collapsed buildings. Although, there are many examples of application of robots in research and disasters response exercises examples in real missions are rare. Reasons for that are that the deployment of robot systems is not trivial and that many systems are yet not robust and stable enough. Therefore, actually there are basically no disasters response teams that possess and deploy robots in the field. As a consequence currently robot systems come from external institutions like universities or companies and are operated by external experts. Such requests for external support for disaster relief are already common. For instance see the example in [1] using the European Civil Protection Mechanism (EUCP). As this situation has to be accepted until robots will be really easy to use and stable procedures that allow to deal with this setup have to be found. A crucial factor for the acceptance of such setups by the responder is the easy integration of the robots and the external experts in the mission. In this paper we present the results of an emergency response exercise (a fire in a gas storage) where particularly care about these factors was taken. In the remainder of the paper we will motivate and discuss the team structure we used for the external robot team and present the outline and the results of the exercise. We will conclude the paper with some lessons learned during the exercise.
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