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The School of Mechanical Engineering visits Tianbin Machinery Co., Ltd. to deepen collaborative innovation among industry, academia, research, and application.
Release time:
2025-04-26
On April 19, Song Shaoyun, Dean of the School of Mechanical Engineering, accompanied by his research team, traveled to Xiangyang, Hubei Province, to engage in in-depth industry-academia-research collaboration with Wang Tianbin, Chairman of Hubei Tianbin Machinery Co., Ltd., and his technical team.
On April 19, Song Shaoyun, Dean of the School of Mechanical Engineering, accompanied by his research team, traveled to Xiangyang, Hubei Province, to engage in in-depth industry-academia-research cooperation with Wang Tianbin, Chairman of Hubei Tianbin Machinery Co., Ltd., and his technical team. The two sides held a pragmatic dialogue focusing on three key areas: innovative mechanisms for industry-education integration, collaborative cultivation of industry talent, and breakthroughs in critical technologies for intelligent equipment. Together, they are planning to leverage a collaborative innovation system involving industry, academia, research, and application to accelerate the digitalization and intelligent transformation of the rice-processing industry.
During the technical seminar, Dean Song Shaoyun systematically explained the technical architecture of the “Smart Management System for the Entire Lifecycle of Rice,” with a particular focus on key technological breakthroughs such as the construction of a data mid-platform and the development of intelligent decision-making models. He emphasized the strategic supporting role of technological innovation in the transformation and upgrading of traditional industries. Associate Professor Zhong Wen provided a detailed report on the project’s “three-step” implementation plan: In the first phase, the project will complete the establishment of a rice-processing data collection and analysis platform, building a digital management system that covers the entire production process; in the second phase, the team will develop machine-learning-based algorithms for optimizing process parameters, aiming to achieve a production efficiency improvement of more than 20%; and in the final phase, the project will integrate industrial robots, smart sensors, and other advanced equipment to create a fully automated, intelligent production line.
The graduate student team showcased their phased innovative achievements: Student Wan Bota’s “Dynamic Scheduling Algorithm for Production Lines,” validated through digital twin technology, has improved overall equipment effectiveness (OEE), significantly shortened production cycle times, and reduced the rate of broken rice during milling. Student Wu Gang’s “Virtual Assembly Simulation System” can identify most assembly conflicts in advance, thereby shortening the production line commissioning period. Both achievements have received high praise from the company’s technical team.
General Manager Wang Tianbin, drawing on 20 years of industry experience, put forward three constructive recommendations: First, build an intelligent optimization system featuring “AI + Process” to achieve autonomous optimization of key parameters; second, establish a full-chain data collection system—from field to table—creating a database containing millions of data points covering planting environments, processing parameters, and logistics and warehousing; third, develop a mobile-based smart operation and maintenance platform to enable predictive maintenance for equipment failures. These recommendations provide valuable guidance for the in-depth implementation of the project.
After the meeting, the participants went to the workshop for an on-site inspection. During the inspection, Dean Song and the technical staff engaged in an in-depth discussion and analysis of the workshop’s component processing techniques, production management procedures, and bottleneck technical issues related to key equipment such as scraper conveyors and elevators, offering targeted and actionable recommendations.
This meeting fostered consensus between the two sides, clearly defined the goals and direction for future development, laid a solid foundation for the smooth implementation of subsequent cooperation, and injected strong momentum into the steady advancement of the project.
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