基于单片机的医疗机器人控制系统设计

Kaixuan Fan, Zilin Xin, Peiran Cui
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引用次数: 1

摘要

为了节省人力,提高COVID-19的预防管理,防止疫情的传播,本文提出并设计了一种基于单片机的医疗机器人。采用单片机STC89C52作为主控核心。障碍物由红外传感器探测。机器人使用跟踪模块来确定路径。然后通过io口控制L298N驱动模板改变两个直流电机的工作状态,从而通过两侧电机的速度差来改变机器人的运动状态。在智能跟踪模块中,机器人首先使用遗传算法寻找最佳路径向前检查,然后进入病房。消毒后,机器人利用STM32F4驱动OV2640摄像头采集数据,利用yolov5s算法对口罩进行检测。最后将采集到的信息发送到计算机,实现对患者病情的实时监控。仿真结果表明,该医疗机器人能够有效、准确地实现路径规划、人脸识别和无线通信的要求。这将大大提高医务人员的工作效率和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of medical robot control system based on single-chip microcomputer
In order to save manpower, improve the management of COVID-19 prevention and prevent the spread of the epidemic, this paper proposes and designs a medical robot based on a one-chip computer. The single-chip STC89C52 is used as the main control core. Obstacles are detected by infrared sensors. And the robot uses the tracking module to determine the path. The working states of the two DC motors are then changed by the IO-port control L298N drive template, thereby changing the motion state of the robot through the speed difference between the motors on both sides. In the intelligent tracking module, the robot first uses a genetic algorithm to find the best path forward inspection and then enters the ward. After disinfection, the robot uses STM32F4 to drive the OV2640 camera to collect data and detect the mask using the yolov5s algorithm. Finally, it sends the collected information to the computer to realize the real-time monitoring of the patient's condition. The simulation results show that the medical robot can effectively and accurately realize the requirements of path planning, facial mask recognition, and wireless communication. This will significantly improve the efficiency and safety of medical staff.
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