基于物联网的智能室内定位送水系统设计
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西北大学 信息科学与技术学院

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TP391.4

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国家自然科学基金资助项目(61903300)


Intelligent indoor positioning water supply systembased on Internet of Things
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    摘要:

    随着物联网技术的发展,机器人已广泛应用于生产和生活之中。自动送水机器人作为一种智能饮水系统,可应用于办公区域、医院、家庭等多种场所,智能化地为人类提供饮水服务。本文设计了一款智能室内定位送水系统,可以实现水杯定位、转向前行、自动添注水等功能。系统以UP Squared处理器为设计平台,扩展了UWB定位、Zigbee无线传输、陀螺仪、机械臂等功能模块。采用MPU6050 模块进行旋转角度感知,PID算法控制机器人旋转;基于电流磁效应和电磁感应定律感知水杯位置;采用超声波模块对出水口上升的高度和水杯中水位进行检测。通过实验测试了系统的定位、方向调整、测距、功耗等多项参数以及送水全过程,结果表明,系统具有定位准确、转向快速平稳和功耗低等特点,达到实际应用于室内智能定位送水的技术要求。

    Abstract:

    With the development of the Internet of Things technology, robots have been widely used in production and life. As an intelligent drinking water system, the automatic water supply robot can be applied to various places such as office areas, hospitals, homes, etc., to intelligently provide drinking water services for human beings. This article has designed a smart indoor positioning water supply system, which can realize the functions of cup positioning, steering forward, and automatic water filling. The system uses the UP Squared processor as a design platform, and expands functional modules such as UWB positioning, Zigbee wireless transmission, gyroscope, and robotic arm. The MPU6050 module is used to sense the rotation angle, and the PID algorithm controls the robot"s rotation. The current cup position is detected based on the current magnetic effect and the law of electromagnetic induction. The ultrasonic module is used to detect the height of the water outlet and the water level in the cup. Several parameters such as the positioning, direction adjustment, ranging, power consumption, and water delivery process of the system were tested through experiments. The results show that the system has the characteristics of accurate positioning, fast and stable steering, and low power consumption, and has been applied to indoor intelligent positioning Technical requirements for water delivery.

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胡琦瑶,周和兴,彭先霖,艾娜,齐锦.基于物联网的智能室内定位送水系统设计计算机测量与控制[J].,2020,28(2):240-245.

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  • 收稿日期:2019-12-31
  • 最后修改日期:2020-01-04
  • 录用日期:2020-01-06
  • 在线发布日期: 2020-02-24
  • 出版日期: