Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
---|---|---|
Article Number | 01017 | |
Number of page(s) | 4 | |
Section | Modeling, Analysis, and Simulation of Intelligent Manufacturing Processes | |
DOI | https://doi.org/10.1051/matecconf/201817301017 | |
Published online | 19 June 2018 |
The address matching method of malfunction service worksheet of power customers based on standard address base
1
Electric Power Research Institute of State Grid JIBEI Electric Power Company, Beijing
2
North China Electric Power Research Institute CO.,LTD., Beijing 100045
* Corresponding author : 676269930@qq.com
Processing methods stay at the manual processing level, which is inefficient. By analyzing the address of 95598 worksheet of power customers, a standard address base structure and matching rules for storing standard data sets are established, and a matching method of 95598 incident worksheet of power customers based on standard address base is proposed. Drawing on the segment of standard address base, the method also defines the maximum length of the forward matching algorithm and can match along the self-defined address matching rules. It reduces the number of matches between the address to be matched and the standard data set, decreases the target data set used in the next participle, and improves the matching efficiency. In addition, by defining ambiguous addresses and expanding the rule tree, the matching success rate of the addresses to be matched and the flexibility of system implementation are improved
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.