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An Open-Source Solution for Mobile Robot Based Environmental Sensing

J. Grönman, Jukka Viljanen, Juha Vihervaara, Mika Saari

发表年份
2020
引用次数
4

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.

关键词

ScalabilityMobile robotComputer scienceEnvironmental dataRobotCloud computingReal-time computingData collectionEnvironmental monitoringEmbedded system

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