Sign up now! The "Internet Plus" College Students Innovation and Entrepreneurship Competition Propositions Officially Announced
Recently, the Eighth China International "Internet Plus" College Students Innovation and Entrepreneurship Competition announced the shortlisted propositions for the industry proposition track, and registration is officially open. Getech, a leading comprehensive industrial internet platform company in China, has successfully entered the track with six new engineering propositions. This aims to stimulate college students' innovative practices based on real industrial problems, strengthen the deep integration of industry, academia, and research, and collaborate with universities nationwide to cultivate local innovative talent.
This competition, co-hosted by the Ministry of Education, governments, and universities, is one of the most extensive and influential innovation events for college students in China. It aims to deepen comprehensive reforms in higher education, stimulate students' creativity, and cultivate the main force for "mass entrepreneurship and innovation."
Getech is committed to empowering industries through its platform and fostering a new generation of "industrial geeks," aligning perfectly with the competition's goals. As a leader in semiconductor industry digitalization and AI technology applications in the industrial sector, Getech's selected propositions focus on the hottest and most relevant topics in the industrial internet field, emphasizing semiconductor industry and AI technology. This reflects the company's dedication to accelerating digitalization for manufacturing enterprises while also focusing on incubating innovative technologies, cultivating innovative and entrepreneurial talent, and integrating innovation and entrepreneurship education practices with sustainable industrial development.
Interpretation of the Six Propositions
Proposition One
Artificial Intelligence and Quality Inspection
(Targeting various types of defects across industrial processes)
Using image recognition and deep learning algorithms, train and model various defect images from manufacturing processes to develop self-learning detection models that apply AI technology to guide quality inspection and control in factories. Competing teams can update existing systems or propose innovative solutions.
Proposition Two
Interconnection of AGV with MES and WMS Systems in Multi-Network Environments such as 5G
With the development of industrial internet technologies, flexible and smart manufacturing face new challenges. Competing teams need to provide solutions involving edge computing, cloud communication, real-time control based on 5G & OPC UA, visual inspection, digital twins, remote operation and maintenance, MES, WMS, and other typical industrial applications, demonstrating scenarios, test results, configurations, and analyses.
Proposition Three
IoT-Based Predictive Maintenance on Industrial Internet Platforms
Empowering Frontline Production Employees
Industrial sites like energy and petrochemicals face harsh environments, inconvenient manual maintenance, and high management requirements. Competing teams need to use predictive maintenance training platforms or enterprise data, applying one or more of the six functional modules: basic equipment data, planned maintenance, parametric maintenance, spare parts management, remote maintenance, and predictive maintenance. By helping factories implement equipment management systems and sort out fault mechanism models, build a comprehensive health management system centered on equipment health operation.
Proposition Four
AGV Solutions Combining Industrial Internet and AI Based on High-Definition Cameras and Sensors
AGV products are increasingly used with automated equipment like sorting, handling, and palletizing. Competing teams can update existing systems or propose innovative solutions to enhance AGV's target recognition and ranging capabilities, route learning and stable navigation, and control performance of scheduling systems.
Proposition Five
Research on PVD and CVD Film Formation Mechanisms in the Semiconductor Industry
PVD and CVD film formation is critical in the semiconductor industry, and the adaptive handling of distribution changes due to target material replacement is a common issue. Competing teams are required to use the MFA tool on industrial internet platforms to achieve engineering management, data import, data preprocessing, data exploration, feature processing, model building, evaluation, and management.
Proposition Six
Methods for Constructing Influencing Factor Features in Industrial Scenarios (Especially Semiconductor Industry)
In the era of big data, data has become a new production factor. Fully utilizing production and equipment data collected and accumulated in manufacturing to uncover hidden value is a challenging yet crucial task for enterprises undergoing intelligent transformation. Competing teams are required to use the quality module on industrial internet platforms to achieve engineering management, data import, data preprocessing, data exploration, feature processing, model building, evaluation, and management.
Direct Registration · One-Click Team Formation
1. Teams from mainland China, Hong Kong, Macao, and Taiwan can register via the National College Student Entrepreneurship Service Website (cy.ncss.cn).
2. International teams can register via the Global Youth Innovation Leadership Community (PILC) official website (www.pilcchina.org).
3. The deadline for registration and submission of solutions is 24:00 Beijing Time, July 31, 2022.
Competition and proposition consultation hotline: 17715293295
