Research on Key Indicators Extraction Technology of Power Transmission Engineering Design Report
- 10.2991/meic-14.2014.149How to use a DOI?
- Design review; Engineering design report; Indicators extract; Big data; Regular expressions
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.
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Kun Chen AU - Bochong Pan AU - Xiangbing Wang AU - Guoyong Li AU - Zhiming Liu PY - 2014/11 DA - 2014/11 TI - Research on Key Indicators Extraction Technology of Power Transmission Engineering Design Report BT - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 667 EP - 670 SN - 2352-5401 UR - https://doi.org/10.2991/meic-14.2014.149 DO - 10.2991/meic-14.2014.149 ID - Chen2014/11 ER -