Identification and Classification of the Communication Data of Automated Guided Vehicles and Autonomous Mobile Robots
Identification and Classification of the Communication Data of Automated Guided Vehicles and Autonomous Mobile Robots
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DOI：
10.1109/icara55094.2022.9738572
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发表时间：
2022-02
期刊：
影响因子：
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通讯作者：
Philipp Neher;A. Lechler;A. Verl
中科院分区：
文献类型：
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作者：
Philipp Neher;A. Lechler;A. Verl
自动导引车和自主移动机器人将成为未来工厂的关键技术。它们为智能工厂提供必要的灵活性，生产批量小至一件的个性化产品。随着自动导引车任务数量的增加，对其无线通信系统的要求变得更加苛刻，当前的解决方案将不再足够。为了有效地开发、配置和设置通信系统，需要了解所传送的信息类型以及所传送的信息的特征是什么。这项工作根据一组用例识别自动引导车辆系统中最相关的信息类型。对于每种识别的信息类型，都会给出通信属性（有效负载大小、周期时间和延迟）的估计。然后，信息类型被分类为流量类型，以进一步用于设计无线通信系统。
Automated guided vehicles and autonomous mobile robots will be a key technology in the factories of the future. They supply the necessary flexibility for smart factories which produce individualized products with lot sizes down to one. With the increased number of tasks for automated guided vehicles, the requirements for their wireless communication systems become more demanding and current solutions won’t be sufficient anymore. To efficiently develop, configure and setup communication systems, the knowledge about what type of information is communicated and what are the characteristics of the information communicated is necessary. This work identifies most relevant types of information in an automated guided vehicle system based on a set of use-cases. For each identified information type, an estimate for the communication properties (payload size, cycle-time and latency) is given. The information types are then classified into traffic types for further use to design a wireless communication system.