Department of Tourism Management, Chongqing City Vocational College, Chongqing 402160, China.
Chongqing City Vocational College, Chongqing 402160, China.
Math Biosci Eng. 2023 Jan 3;20(3):4798-4815. doi: 10.3934/mbe.2023222.
The modular intelligent robot platform has important application prospects in the field of tourism management services. Based on the intelligent robot in the scenic area, this paper constructs a partial differential analysis system for tourism management services, and adopts the modular design method to complete the hardware design of the intelligent robot system. Through system analysis, the whole system is divided into 5 major modules, including core control module, power supply module, motor control module, sensor measurement module, wireless sensor network module, to solve the problem of quantification of tourism management services. In the simulation process, the hardware development of wireless sensor network node is carried out based on MSP430F169 microcontroller and CC2420 radio frequency wireless communication chip, and the corresponding physical layer and MAC (Media Access Control) layer data definition and data definition of IEEE802.15.4 protocol are completed for software implementation, and data transmission and networking verification. The experimental results show that the encoder resolution is 1024P/R, the power supply voltage is DC5V5%, and the maximum response frequency is 100 kHz. The algorithm designed by MATLAB software can avoid the existing shortcomings and meet the real-time requirements of the system, which significantly improves the sensitivity and robustness of the intelligent robot.
模块化智能机器人平台在旅游管理服务领域具有重要的应用前景。本文基于景区智能机器人,构建了旅游管理服务的偏微分分析系统,并采用模块化设计方法完成了智能机器人系统的硬件设计。通过系统分析,将整个系统分为核心控制模块、电源模块、电机控制模块、传感器测量模块、无线传感器网络模块 5 大模块,解决了旅游管理服务的量化问题。在仿真过程中,基于 MSP430F169 单片机和 CC2420 射频无线通信芯片,完成了无线传感器网络节点的硬件开发,并对 IEEE802.15.4 协议的相应物理层和 MAC(Media Access Control)层数据定义和数据封装进行了软件实现,并进行了数据传输和组网验证。实验结果表明,编码器分辨率为 1024P/R,电源电压为 DC5V±5%,最大响应频率为 100kHz。MATLAB 软件设计的算法可以避免现有缺点,满足系统的实时性要求,显著提高了智能机器人的灵敏度和鲁棒性。