Beijing Qingchang hosted the seminar on the national key R&D program "Theories and Methods for Collaborative Data Space Design of Multi-Value Chains in Manufacturing" - Methods for Collecting and Integrating Multi-Source Heterogeneous Data for Collaborative Multi-Value Chains.
On the afternoon of May 7, 2021, a seminar on multi-value chain collaborative multi-source heterogeneous data collection and integration methods was held at the Beijing Qingchang Huairou production base. This seminar is the first specialized technical exchange meeting of the National Key R&D Program "Theoretical and Methodological Design of Collaborative Data Space for Multi-Value Chains in Manufacturing" and was hosted by Zhang Huanfen, General Manager of Beijing Qingchang Electric Power. The project members attending this meeting included: project leader, leader of Topic 1, Professor Niu Dongxiao from North China Electric Power University, Fan Jingsheng, Chairman of Beijing Qingchang Electric Power Technology Co., Ltd., leader of Topic 1 sub-topic, Zhang Huanfen, General Manager of Beijing Qingchang Electric Power Technology Co., Ltd., leader of Topic 2, Professor Liu Da, doctoral supervisor, and Yang Xiaolong, leader of Topic 3 sub-topic, etc.Leader of Topic 4, Professor Wang Hongwei, doctoral supervisor at Zhejiang UniversityData contact has been established in advance with Qingchang Company. Other experts include: Luo Shen, lecturer at North China Electric Power University, Yu Yifan, CTO of Ailing Network, Director Shan Yingrui, Director Ren Rongwei, and staff from Beijing Qingchang Electric Power, as well as 63 doctoral students, graduate students, and undergraduates from North China Electric Power University. At the same time, taking this opportunity, Fan Jingsheng, Chairman of Beijing Qingchang Electric Power Technology Co., Ltd., introduced the advanced equipment in the factory and the production processes of products independently developed by Beijing Qingchang to project leader Professor Niu Dongxiao, various experts, and students from North China Electric Power.

The main purpose of this meeting is to introduce our company's data and discuss methods for collecting and integrating multi-source heterogeneous data in multi-value chain collaboration.
At the beginning of the meeting, Professor Niu Dongxiao pointed out that the National Key R&D Program "Theoretical and Methodological Design of Collaborative Data Space for Multi-Value Chains in Manufacturing" is of great significance to enterprises and even the entire industry. Data, as an important cornerstone of current enterprise development, has a long-term impact on technological research and management work. The research and practical application of data space provide advanced guiding theories for enterprises to further refine their development. Professor Niu Dongxiao expressed his expectation that the research results will be implemented and cultivated in Beijing Qingchang Electric Power in the future, contributing to the development of data space and serving as a demonstration for various industries across the country.

Our General Manager Zhang Huanfen provided a comprehensive introduction to the company's growth history, products, and other basic information at the meeting, detailing the existing data collection and storage platforms, content, types, structures, quality, and future deployment. Subsequently, General Manager Zhang Huanfen and the corresponding person in charge of the data platform introduced the ERP, OA, PDM currently in use by the company and the newly launched intelligent manufacturing platform. During the presentation, Professor Niu Dongxiao and various experts actively provided suggestions and engaged in in-depth discussions on the experimental data that the enterprise can currently provide and the pain points in actual operations, reaching a consensus on issues such as data content, data acquisition, and data storage, providing favorable support for the re-research project and laying a comprehensive and sufficient data background and foundation for the next unified storage method seminar.
During this meeting, Professor Niu Dongxiao also detailed the specific requirements for the use of project funds, and both parties arranged responsible personnel for the use of research funds and established a docking mechanism.
After the meeting, Fan Jingsheng, Chairman of Beijing Qingchang Electric Power, led all participants to visit the actual production scene in the factory, conducting a unique and detailed on-site explanation, expressing his outlook on the project's prospects and expectations for the students from Beijing North China Electric Power University.

Beijing Qingchang Electric Power's participation in this international key R&D program "Theoretical and Methodological Design of Collaborative Data Space for Multi-Value Chains in Manufacturing" not only provides data support and theoretical research implementation for the project team but also learns advanced management concepts and methods, and seizes this opportunity to bring different breakthroughs and leaps for the enterprise.
National Key R&D Program, Ring Network Cabinet Manufacturer, North China Electric Power University, Intelligent Manufacturing, Industry 4.0, Value Chain, Data Space