Speaker: Mo Dewen, Senior Manager of Engineering Department, Membrane Division, Shanghai Putailai New Energy Technology Co., Ltd.
Speech topic: JMP® Intelligent Manufacturing Data Automated Analysis Application Innovation
summary:
Big data, Industry 4.0, artificial intelligence (AI), etc. have become hot topics of concern around the world. Application innovations in this area have begun to enter people's lives in large numbers. However, in the industrial field, innovation and application in this area have just begun. Although some large companies have begun to apply artificial intelligence to the manufacturing industry, for example, by collecting equipment data, logically modeling business data, and realizing intelligent equipment management functions such as real-time monitoring and predictive maintenance of equipment, for a large number of small and micro enterprises, there is still a lot of room for improvement in the informatization and dataization of the manufacturing process to quality control and product services. MES, or the Manufacturing Execution System, provides an informatization platform for the production process, realizing the real-time collection of product manufacturing data. The JMP platform provides rich data statistical analysis modules for real-time data processing, real-time analysis, and data visualization reports. The case shared this time is to use the MES system platform to realize real-time collection of production equipment, product manufacturing parameters, and product quality data, store the data in the database, connect JMP through ODBC, read the real-time updated data in the database, and use JSL (JMP Script Language) to carry out secondary development of analysis tools such as graphics generators to realize data visualization of the manufacturing process and product quality, and form a quality data analysis report.
