工业数据质量提升行动启动

Group 1 - The core viewpoint of the article highlights the importance of data quality and standardization in enhancing the efficiency and decision-making capabilities of the industrial system, particularly in the context of the industrial internet and artificial intelligence [2][3] - The China Academy of Information and Communications Technology (CAICT) has launched an industrial data quality improvement initiative, focusing on creating a standardized industrial data application environment and developing data standards across key sectors [3] - In the electronic manufacturing sector, the collaboration between CAICT and Huawei has led to significant improvements, such as reducing the time for abnormal analysis from 8 hours to 3 minutes and decreasing the product defect rate from 10% to 0.8% [2] Group 2 - In the machine tool manufacturing sector, CAICT and partners have established an industrial internet interoperable intelligent flexible pilot line, achieving a 25% increase in machining efficiency and enabling flexible, small-batch production [2] - The initiative includes the development of high-quality industry-level data sets and the establishment of a service system combining large models and specialized small models to enhance data collection and model service capabilities [3] - The industrial data quality improvement action will be implemented across various industries, including electronics, power, and machinery, to address the growing demand for standardized and high-quality industrial data [3]