1746-NI16I
The country’s first single industrial Internet data asset entry case landed in Tongxiang City, Zhejiang Province, recently, as a pilot enterprise of data capitalization in Tongxiang City, Zhejiang science and Technology Development Co., Ltd. has completed the preparation of data resources into the table, and officially started the entry work.
Under the organization of the leading group for the construction of Wuzhen Data Elements Industrial Park in Tongxiang City, Zhejiang Big Data Trading Center and other units formed an alliance 1746-NI16I to provide services for the data resource entry table and data product pricing. In this service, alliance experts conducted a comprehensive analysis of the technology company’s data resources used to enhance the intelligent manufacturing capabilities of industrial enterprises, Assisted to complete the data combing of equipment operation status, process key parameters, raw material quality status, process finished product inspection data, worker operation records and other dimensions in the production stage of polyester, spinning and inspection, and formed the cost collection principle related to data assets, and according to the requirements of the Interim Provisions on Accounting Treatment of Enterprise Data Resources of the Ministry of Finance. Determines the range of data resources that can be entered into the table. 1746-NI16I The alliance also provides enterprises with standardized suggestions on the design and development of data products and services, and organizes experts in the fields of law, technology, security, and industry applications to conduct evaluation. By confirming the entry qualification of the transaction subject, confirming the legal use of the data and the compliance of the use restrictions, the enterprise completed the data storage registration, and listed it on the Zhejiang Big Data trading service platform.
1746-NI16I As a 5G+ industrial Internet practitioner, the data asset formed by the technology company in this pilot is “chemical fiber manufacturing quality analysis data asset”. Through sensing and gathering production data from the process site, high-quality data resources are formed after cleaning and processing. After calculation and analysis with the data integration model, real-time feedback, regulation and optimization of production line parameters can be achieved, and real-time monitoring of key quality indicators of the product line and real-time rating of the overall quality level of the chemical fiber production process can also be achieved. So as to achieve the goal of improving the quality of chemical fiber products, enhancing the quality management ability of enterprises, and improving the operation efficiency. At present, the “chemical fiber manufacturing quality analysis data asset” contains 27.87 million quality management data, physical laboratory data, process quality inspection, control chart data, comparison index parameters, indicator alarm, early warning trend, unqualified rate and a total of 27 data models, such as quality index, qualified rate, excellent rate, stability and other 38 types of indicator systems.
The listing of data resources is the first step of enterprise data assets. The pricing of data products is related to the full mining and release of the value of data assets. In order to help enterprises achieve the goal of full-link development of data product pricing, the Alliance takes reasonable cost and expected income as the basic basis for pricing, quantifies the incremental income brought by data products to customers and distinguishes the contribution value of 1746-NI16I data assets as the main basis. It provides a reference for enterprises to explore and develop a flexible and effective integrated collaborative path of “valuation, pricing and transaction” of data products.
It is reported that the first industrial Internet data resources into the table is not only a response to national policies and the follow of market trends, but also marks the embodiment of the data transformation results of data enabling industrial enterprises, effectively improve the efficiency of their own production and operation at the same time, output to social production and operation activities, due to the strong synergy effect of industrial data and large demand to improve the operational efficiency of the entire industry. Give full play to the multiplier effect of data elements.