Project node data monitoring and early warning method and system based on data medium station

• Main Authors: LIN KEYAO, LIU YU'ER, XUE ZIYING
• Format: Patent
• Language: Chinese; English
• Published: 18.03.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to a project node data monitoring and early warning method based on a data center, and the method comprises the following steps: S1, importing and analyzing project node plan data in batches according to a preset node data extraction condition; s2, through a data synchronization technology, obtaining project node actual data pushed to a data medium station by an ERP system; s3, identifying and matching the project node data through a data matching algorithm, and performing classified statistics on the project node data; s4, performing real-time monitoring on the project node data based on a preset early warning rule judgment standard; and S5, performing statistical analysis and display on the real-time monitoring project node data. The project node statistical analysis efficiency and reliability are effectively improved. 本发明涉及一种基于数据中台的项目节点数据监测与预警方法，包括以下步骤：步骤S1:根据预设的节点数据提取条件,批量导入并解析项目节点计划数据；步骤S2:通过数据同步技术,获取ERP系统推送至数据中台中的项目节点实际数据；步骤S3:通过数据匹配算法,对项目节点数据进行识别匹配,将项目节点数据进行分类统计；步骤S4:基于预设预警规则判断标准,