Event Registration | "AI-Empowered Production, Precision Manufacturing Upgrade" – Wenzhou Bay New District (Longwan District) Future Smart Manufacturing Scenario Innovation Series
I. Event Time
Wednesday, July 22, 2026. Registration at 13:50 PM; the event officially begins at 14:00 and lasts half a day.
II. Venue
First-Floor Lobby of the Headquarters Building, China Eye Valley (navigate to the West Gate or Northwest Gate of China Eye Valley)
III. Organizing Units
(1) Hosts
Wenzhou-Nanyang Technological University Joint Research Institute
Wenzhou Bay New Area Economic Development Bureau (Longwan District Bureau of Economy and Information Technology)
Wenzhou Bay New Area (Longwan District) Enterprise Service Center
Wenzhou Eye Valley Development Service Center
Wenzhou Bay New Area (Longwan District) New Generation Entrepreneurs Association
(2) Co-organizers
Longwan Entrepreneurs' Home Platform of Wenzhou Bay New Area (Longwan District)
Zhejiang Keneng Enterprise Management Co., Ltd.
IV. Event Agenda
(1) Tour Session
14:00–14:40 Group tour by shuttle bus to the "Eye Valley Pupil" exhibition hall (introduced by Deputy Director Fang Huixiao)
14:40–15:00 Visit to the exhibition hall of the Wenzhou-Nanyang Technological University Joint Research Institute (introduced by Vice President Gao Yi)
(2) Meeting Session (Venue: First-Floor Conference Room, Longwan Entrepreneurs' Home)
Leadership Speeches (15:00–15:20)
Speech by the leader of the Wenzhou Bay New Area Economic Development Bureau (District Bureau of Economy and Information Technology)
Speech by the leader of the Wenzhou-Nanyang Technological University Joint Research Institute
Speech by the head of the Wenzhou Bay New Area (Longwan District) New Generation Entrepreneurs Association
Presentation of appointment letters to industry mentors
2.Thematic Courses
No. | Industrial Topic | Content Overview | Lecturer | Time |
1 | Core Capabilities for Industrial AI Implementation — Strengthening the AI Foundation, Boosting Real-Economy Efficiency | Drawing on extensive hands-on experience from HolliCube OS benchmark scenarios, this session analyzes the major challenges currently facing industrial AI implementation, strategies for breaking through them, and the core capabilities of HolliCube OS. | Wu Qiwei (Chief Technology Expert, Hollysys CUBE) | 15:20-15:40 |
2 | Generative Efficiency Master — Tracing Losses, Boosting Efficiency Through Smart Manufacturing | The AI Production Efficiency Master empowers lean equipment management. It automatically collects full-scope data on equipment operation, downtime, and quality, automatically calculates OEE, and visually presents losses and capacity bottlenecks. It bridges data silos, eliminates manual data entry, and enables real-time production monitoring and full-process traceability. Leveraging intelligent algorithms to deeply mine data, it precisely pinpoints the root causes of inefficiency and provides early warnings of quality issues, forming a management closed loop of pre-event prevention, in-process intervention, and post-event optimization. By reducing production waste, lowering costs, and raising output, it helps factories achieve an intelligent lean transformation. | Hu Qiaohua (Chief Product Expert, Hollysys CUBE) | 15:40-16:00 |
3 | AI-SOP Behavior Detection — Intelligent Supervision of Every Production Operation, Error-Proofing and Mistake-Proofing | Using AI vision to recognize the operating actions of production-line personnel in real time, it guides operators before errors occur and raises alarms with corrections when they do, covering the full range of scenarios such as cycle-time optimization, missing assembly, wrong sequencing, and omitted parts. It has been deployed in industries including inverters, automotive parts, packaging, and precision assembly, achieving a 30%–50% reduction in failure-related downtime, a 15%–30% decrease in defect rates, and a reduction of safety-accident risk by more than 90%. | Xu Zhaohui (Chief Industry Expert, Hollysys CUBE) | 16:00-16:20 |
4 | Reflections and Practices on Intelligent Manufacturing in the Light Industry | Backed by the School of Computer Science and Artificial Intelligence of Beijing Technology and Business University, in partnership with the United Green Industry (Beijing) Ecological Science Research Institute, and through undertaking projects under the MIIT Intelligent Manufacturing Innovation and Development Program, industrial software integration, and innovations in trusted data-flow technology and applications, it empowers technological and industrial leadership in the light industry, formulates relevant standards, and builds a nationally leading innovation research base for light industry equipment and intelligent manufacturing that integrates industry, academia, research, and application, a science and technology education base for talent cultivation, a professional capability practice base, and a platform for academic exchange on intelligent manufacturing. Together with Hollysys CUBE, it starts from typical light industry sectors to form a technology hub and support platform, providing professional digital transformation services for key light industry sectors. | Jiang Minhua, Chief Technology Expert of the Light Industry Equipment and Intelligent Manufacturing Laboratory of the China National Light Industry Council; Li Pei, Director of the Light Industry Equipment and Intelligent Manufacturing Laboratory of the China National Light Industry Council and President of the United Green Industry (Beijing) Ecological Science Research Institute. | 16:20-16:40 |
3. On-Site Exchange (16:40–17:10)
Keynote speech by entrepreneur:
NO. | Keynote speech by entrepreneur | Time |
1 | Lin Gui, Executive Deputy General Manager of Longwan Weiming Environmental Protection Energy Company | 16:40-17:00 |
Speeches and exchange by participating entrepreneurs | 17:10-17:30 |
V. Participants (Approximately 40 People)
Leaders and guests from the event's organizing units (approximately 10 people);
Members of the Wenzhou Bay New Area (Longwan District) New Generation Entrepreneurs Association (approximately 10 people);
Technical leads from relevant enterprises in the district (approximately 20 people).
VI. Other Matters
This training session is free of charge. Participants are kindly requested to register by scanning the QR code.
▲QR Code Registration System
All participants are expected to comply with the class management rules. In principle, leave of absence will not be granted.
Contacts:
Li Hao, Director of the Science and Technology Cooperation Department, Wenzhou-Nanyang Technological University Joint Research Institute: 13968869038
Wang Yangyang, New Area Economic Development Bureau (District Bureau of Economy and Information Technology): 15158516939
Jiang Suyong, Wenzhou Bay New Area / Longwan District Entrepreneurs' Home Platform: 15705875551
