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An Open-Source Solution for Mobile Robot Based Environmental Sensing

机译:基于移动机器人的环境感知的开源解决方案

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摘要

Internet of Things-based devices are equipped with sensors and network connections to collect data and store this data to cloud services. This collected data allows operational decision-making processes to be based on a more accurate picture of the current state of physical environment than before. Existing data collection methods often rely on sensors in fixed locations to obtain environmental measurements. Such a solution is not very scalable in terms of the density of the measuring points. In a dynamic environment, the cost of maintaining such fixed-based solutions may also be high. A more flexible solution will be achieved by equipping an autonomous mobile robot with sensors. Mobile robots are increasingly being used for data-gathering in a wide range of environmental applications. However, a robotic solution can be expensive. In this paper, we present a low-cost solution based on open-source components. The solution utilizes a robot operating system, sensor and IoT-board based on open-source implementation. By implementing a pilot project, we concretize the potential of our approach to environmental monitoring. Potential application areas of this solution include the microclimate control of greenhouses and warehouses, for example.
机译:基于物联网的设备配备有传感器和网络连接,以收集数据并将此数据存储到云服务。这些收集的数据使操作决策过程可以比以前更准确地了解物理环境的当前状态。现有的数据收集方法通常依赖于固定位置的传感器来获取环境测量结果。就测量点的密度而言,这种解决方案不是非常可扩展的。在动态环境中,维护此类基于固定的解决方案的成本也可能很高。通过为自主移动机器人配备传感器,可以实现更灵活的解决方案。移动机器人越来越广泛地用于各种环境应用中的数据收集。但是,机器人解决方案可能很昂贵。在本文中,我们提出了一种基于开源组件的低成本解决方案。该解决方案利用基于开源实施的机器人操作系统,传感器和IoT板。通过实施一个试点项目,我们具体化了我们的环境监测方法的潜力。例如,该解决方案的潜在应用领域包括温室和仓库的微气候控制。

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