Shang Wei Global Product Sample Database is a database for collecting and sorting out information about industrial products produced by large manufacturing enterprises. At present, it is the only fact-based database for in-depth construction in the field of industrial manufacturing in China, which is of great value and function to teaching and research, independent product innovation, raw material procurement, achievement transformation and competitive intelligence in China.
1, collection scope: including product samples of world-renowned large industrial enterprises.
2. Total data: 46 1000 products from 22,000 enterprises and 3.99 million product samples were included.
3. Sample quality: It mainly includes large well-known enterprises in Europe and America, and 80% of the product samples contain high-value technical documents.
4. Update frequency: the mirror station and the central website are updated once every quarter.
5. Sample increment: It is estimated that the amount of data added each year will reach 1.5-0.2 million products.
6. Classification system: According to the general equipment classification of the National Bureau of Statistics, it is divided into home improvement building materials, transportation equipment, daily necessities, electrical and mechanical equipment, materials and supplies, general equipment, special equipment, communication equipment, computers and other electronic equipment, instruments and meters, cultural and office machinery, high definition multimedia, etc. 10.
7. Retrieval function: provide basic retrieval, advanced retrieval, classified navigation, subject navigation, enterprise navigation and other retrieval methods; Provide the information link function of Chinese periodical literature, American patent literature and domestic and foreign standard literature, and realize the full-text positioning and integration of patent and standard literature.
The main functions of the database
1, which provides various retrieval functions, including quick retrieval, advanced retrieval, classified navigation, subject navigation, enterprise navigation, secondary retrieval, etc. , quickly find the required sample data information through various channels.
2. Provide the sorting function of retrieval results, such as sorting by time, sorting by sample number, sorting by matching degree, sorting by sample quality, etc. In order to filter the search results in a targeted manner.
3. Provide information clustering retrieval function, realize sample clustering of similar products, the same enterprise and the same region, and profoundly reveal the relationship between samples.