MES client data analysis optimization method based on cloud computing

The invention discloses an MES client data analysis and optimization method based on cloud computing, and relates to the technical field of data analysis and optimization, and the method comprises the following steps: identifying data sources required to be integrated by an MES system, evaluating the importance and data quality of each data source, determining an integration priority, accessing each data source to the MES system, and cleaning and integrating the data of each data source. Wherein each data source comprises a production field device, a sensor, an ERP system and a CRM system. Various data in the production process can be collected, stored and analyzed in real time through the cloud computing platform and the MES client side, real-time data monitoring is carried out, the operation condition of a production line can be rapidly mastered, response can be rapidly made when abnormal conditions occur, when equipment breaks down or the product quality does not reach the standard, the system can immediat