Research on Key Indicators Extraction Technology of Power Transmission Engineering Design Report
Kun Chen, Bochong Pan, Xiangbing Wang, Guoyong Li, Zhiming Liu · Advances in engineering research/Advances in Engineering Research · 2014
In the power transmission engineering design review work, assessors need to repeatedly read the report in order to extract the engineering evaluation index content from a lot of text and tables, then give a comprehensive review comments.In the process, experts need to search the document content and record related indicators repeatedly, which requires expert done manually and greatly affect their efficiency and accuracy.This paper focuses on engineering design report key indicators extraction technology, which extract key indicators information from unstructured engineering report and format a structured review data.It is combined with big data technology.In the Hadoop framework, extract and filter content using MapReduce programming model, which made exploratory research on program extraction technology.We developed a software program using the new program extraction technology, which can system analysis and intelligence extract design report submitted by word.Automatic obtain the key indicator value in the report, format evaluation indicators report.It avoids the evils artificial obtain, improve quality and efficiency.