树莓派智能会议室管理系统设计与实现

Design and Implementation of Raspberry Pi Intelligent Meeting Room Management System

  • 摘要: 电子科技大学信息与软件工程学院开设的树莓派智能会议室管理系统课程,是一项跨学科的进阶式挑战性综合项目。该项目旨在培养学生运用软件工程理念,从需求分析、系统设计到功能实现,全面构建智能会议室管理系统的能力。通过三个学期的团队合作,学生将分组完成一个集物联网、人脸识别等技术于一体的软硬结合项目,从而提升解决复杂工程问题的能力、实践技能和创新思维。课程强调理论与实践的结合,要求学生在三个学期内,每个学期投入48学时,协同完成项目的开发与优化。学生将面临从管理端、预定端到会议室前端的多端开发挑战,包括Web、移动APP、微信小程序和树莓派挂壁式前端。项目设计注重综合性、系统性和挑战性,鼓励学生在实现功能的同时,关注系统的安全性、用户隐私保护,并进行创新。此外,课程还旨在提升学生的团队合作和项目管理能力,通过实际项目操作,让学生在团队中承担不同角色,体验从项目规划到执行的全过程。通过本课程,学生将获得宝贵的实践经验,为将来在智能系统领域的工作打下坚实的基础。

     

    Abstract: The Raspberry Pi Smart Conference Room Management System course offered by the School of Information and Software Engineering at the University of Electronic Science and Technology is an interdisciplinary, advanced challenge-based comprehensive project aimed at cultivating students' ability to apply software engineering principles from requirement analysis and system design to functionality implementation in constructing a complete smart conference room management system. Through three semesters of teamwork, students will work in groups to complete a project that integrates technologies such as the Internet of Things and facial recognition, thereby enhancing their ability to solve complex engineering problems, practical skills, and innovative thinking. The course emphasizes the combination of theory and practice, requiring students to dedicate 48 class hours each semester to collaboratively develop and optimize the project. Students will face multi-end development challenges ranging from the management end and reservation end to the conference room front end, including Web, mobile apps, WeChat mini-programs, and Raspberry Pi wall-mounted front ends. The project design focuses on comprehensiveness, systematization, and challenge, encouraging students to pay attention to system security, user privacy protection, and innovation while implementing functionalities. Additionally, the course aims to enhance students' teamwork and project management skills by allowing them to take on different roles within teams and experience the entire process from project planning to execution. Through this course, students will gain valuable practical experience, laying a solid foundation for future work in the field of intelligent systems.

     

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