基于AI+GIS的海量视频智能自证软件研发

The development of AI&GIS-based intelligent self-certification software for massive video

在地震队钻井工序,质控人员人工目视检查海量钻井施工视频的方法需要投入大量人力和时间才能完成。本文结合人工智能(AI)方法和地理信息系统(GIS)两者的优点,详细地论述了海量视频智能自证软件的设计和实现。该系统实现了地震队质量监控从人眼浏览模式向人工智能模式的转变,缩短了视频检查时间,减少了视频质控用工比例。同时,该系统还具备可视化分析功能,通过图表和报表的形式展示钻井过程中的数据和分析结果,方便用户进行数据分析和决策。

In the drilling process of seismic teams,the method of manual visual inspection of massive drilling construction videos by quality control personnel requires a large investment of manpower and time to complete.This paper combines the advantages of both artificial intelligence(AI)methods and geographic information systems(GIS)to discuss in detail the design and implementation of intelligent self-certification software for massive video.The system realizes the transformation of seismic team quality monitoring from human eye browsing mode to AI mode,shortens video inspection time,and reduces the proportion of video quality control workers.The system also has visualization and analysis functions to display data and analysis results of drilling process in the form of charts and reports,which is convenient for users to make data analysis and decision.