Project progress pre-judging system based on feature statistics and analysis

The invention discloses a project progress pre-judgment system based on feature statistics and analysis, and the system comprises the steps: extracting the time series data of the multi-dimensional statistical features of a monitored project from a background database; and a data processing and analysis algorithm based on artificial intelligence is introduced at the rear end to carry out correlation embedding analysis and time sequence semantic change measurement on the multi-dimensional statistical feature data of the projects, so that the progress of the projects and the time still needed before completion of the projects are pre-judged. Therefore, the project progress can be monitored and pre-judged more accurately, comprehensively and intelligently, and more effective decision support is provided for project management. 本申请公开了一种基于特征统计与分析的项目进度预判系统，其通过从后台数据库提取被监控项目的项目多维统计特征的时序数据，并在后端引入基于人工智能的数据处理和分析算法来进行这些项目多维统计特征数据的相关性嵌入分析和时序语义变化度量，以此来预判项目的进度以及距离项目完工仍需的时间。这样，能够实现对项目进度进行更准确、全面和智能化的监测和预判，为项目管理提供更有效的决策支持。