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A Secure Automated Elevator Management System and Pressure Sensor based Floor Estimation for Indoor Mobile Robot Transportation

机译:一种安全的自动化电梯管理系统和基于压力传感器的室内移动机器人运输楼层估计

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In this paper, a secure elevator handling system is presented to enable a flexible movement of wheeled mobile robots among laboratories distributed in different floors. The automated handling system consists mainly of an ADAM module which has the ability to call the elevator to the robot’s current floor and to request the destination floor. The LPS25HP pressure sensor attached to an STM32F411 microcontroller is utilized as a height measurement system to estimate the robot’s current floor inside the elevator. The ultrasonic sensor is used to recognize the elevator’s door status. Many challenges have to be solved to realize a stable height measurement system based on pressure sensor readings. The difference of the pressure sensor readings before and after soldering is realized by comparing the reading after soldering with an accurate barometric reading. In addition, the sensor output signal shows oscillation and wide variation of the same floor pressure sensor readings at different times. The oscillation in the output signal has been handled using a first order FIR smoothing filter. The first order filter was selected to balance between the stability and the elapsed time to receive the updated values. An auto-calibration stage is established to maintain the wide variation in the atmospheric pressure readings by calibrating the sensor readings with the robot’s current floor before entering the elevator. An error handling management system is utilized to guarantee a stable automated elevator management system performance. Many experiments to assess and verify the performance of the automated elevator management system and robot’s current floor estimation are reported. The experimental results show that the proposed methods and sub-systems developed for the mobile robot are effective and efficient in providing a transportation service in multiple-floor life sciences laboratories.
机译:在本文中,提出了一种安全的电梯处理系统,以使轮式移动机器人在分布于不同楼层的实验室之间灵活移动。自动化处理系统主要由ADAM模块组成,该模块具有将电梯呼叫到机器人当前楼层并请求目的地楼层的能力。连接到STM32F411微控制器的LPS25HP压力传感器用作高度测量系统,以估算机器人在电梯内的当前楼层。超声波传感器用于识别电梯的门状态。为了基于压力传感器读数实现稳定的高度测量系统,必须解决许多挑战。通过将焊接后的读数与精确的气压读数进行比较,可以了解焊接前后压力传感器的读数差异。此外,传感器输出信号还显示了同一楼层压力传感器读数在不同时间的振荡和较大的变化。输出信号中的振荡已使用一阶FIR平滑滤波器处理。选择一阶滤波器以平衡稳定性和经过的时间以接收更新的值。建立了自动校准阶段,通过在进入电梯之前用机器人的当前楼层校准传感器读数来维持大气压读数的较大变化。利用错误处理管理系统来确保稳定的自动化电梯管理系统性能。报告了许多评估和验证自动电梯管理系统性能以及机器人当前楼层估计的实验。实验结果表明,为移动机器人开发的方法和子系统可有效地为多层生命科学实验室提供运输服务。

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