基于智能传感器网络的创新创业教育协同实验管理平台设计与应用

J. Sensors Pub Date : 2022-08-25 DOI:10.1155/2022/9542280
Yongqiang Sun
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引用次数: 3

摘要

创新创业是创业的灵魂,在高校实现创新创业教育与协同实验平台的融合,是促进创业发展、促进更高质量就业的重要途径。本文通过对协同实验室的深入调研,提出3D-IVF智能传感器叠加算法智慧实验室体系结构及应用模式,构建创新创业教育协同实验管理平台的宏观环境及建设需求,全面分析其现状、问题;以及其创新创业教育与专业教育相结合的有效性。并在创新创业教育与专业教育相结合的实践中,探索其组织体系、课程体系、管理体系、平台建设的运行机制。基于3D- ivf的3D覆盖算法平均覆盖率为92.15%,部署时间为2.5857 s;平均覆盖率提高0.76%,部署时间减少0.1712 s。利用MATLAB和Hilbert变换滤波器设计FIR滤波器,生成HDL代码,并在FPGA上实现。使用设计的低通和带通滤波器对ADC采样的100khz方波信号进行滤波。当算法迭代次数达到30次时,四节点部署策略的覆盖率趋于稳定,即本文基于3D- vf的三维覆盖算法节点间的作用力趋于稳定。达到平衡态。利用资源和实时实验数据共享,实现团队成员之间的协同设计,进一步优化创新创业教育课程结构,采用多元化的课程实施形式,实施多元化的课程评价体系等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Application of Collaborative Experiment Management Platform for Innovation and Entrepreneurship Education Based on an Intelligent Sensor Network
Innovation and entrepreneurship is the soul of entrepreneurship, and realizing the integration of innovation and entrepreneurship education and collaborative experiment platform in colleges and universities is an important way to promote the development of entrepreneurship and facilitate higher quality employment. In this paper, the authors propose the 3D-IVF intelligent sensor overlay algorithm wisdom laboratory system structure and application mode through in-depth investigation of collaborative laboratory, build the macroenvironment and construction demand of collaborative experiment management platform of innovation and entrepreneurship education, comprehensively analyze the current situation, problems, and effectiveness of its integration of innovation and entrepreneurship education and professional education. In addition, we explore the operation mechanism of its organizational system, curriculum system, management system, and platform construction in the practice of integrating innovation and entrepreneurship education with professional education. The average coverage rate of the 3D-IVF-based 3D coverage algorithm is 92.15%, and the deployment time is 2.5857 s; the average coverage rate is improved by 0.76%, and the deployment time is reduced by 0.1712 s. Design FIR filter using MATLAB and Hilbert transform filter, generate HDL code, and implement it on FPGA. Use the designed low-pass and band-pass filters to filter the 100 KHz square wave signal sampled by the ADC. When the number of iterations of the algorithm reaches 30, the coverage rates of the four-node deployment strategies will stabilize, i.e., the forces between the nodes of the 3D-VF-based 3D coverage algorithm of this paper. The equilibrium state is reached. We use resources and real-time experimental data sharing to realize collaborative design among team members, further optimize the curriculum structure of innovation and entrepreneurship education, adopt diversified forms of curriculum implementation, and implement a diversified curriculum evaluation system, etc.
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