基于人工智能技术的海量数据自动检索系统设计

Design of the Automatic Massive Data Retrieval System Based on Artificial Intelligence Technology

常规的海量数据自动检索系统功能模块多设定为独立结构,自动检索的覆盖范围较小,导致最终得出的自动检索的F1值小于0.5。针对此问题,设计基于人工智能技术的海量数据自动检索系统。根据当前系统构建需求,构建现场可编程逻辑门阵列(Field Programmable Gate Array,FPGA)数据采集模块,接入Spartan-6 FPGA逻辑主控装置,完成系统硬件设计;采用多层级的方式,扩大自动检索的覆盖范围,设计多层级人工智能快速分级索引功能模块,并关联人工智能分类数据库,完成系统软件设计。测试结果表明,在3个测试阶段内,针对选定的5个测试周期,该系统最终得出的自动检索的F1值均可超过0.5。

The functional modules of conventional massive data automatic retrieval systems are often set as independent structures,with a small coverage range for automatic retrieval,resulting in the final F1 value of automatic retrieval being less than 0.5.Design a massive data automatic retrieval system based on artificial intelligence technology to address this issue.Based on the current system construction requirements,construct a Field Programmable Gate Array(FPGA)data acquisition module,connect it to the Spartan-6 FPGA logic control device,and complete the system hardware design.Adopting a multilevel approach to expand the coverage of automatic retrieval,designing a multi-level artificial intelligence fast grading index function module,and associating it with an artificial intelligence classification database to complete the system software design.The test results indicate that within three testing stages,for the selected five testing cycles,the system’s automatically retrieved F1 values can exceed 0.5.