| Title | Automatic Error Correction Technology for the Same Field in the Same Kind of Power Equipment Account Data |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Zhao, Bushi, Zhang, Hao, Luo, Yixi |
| Conference Name | 2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI) |
| Date Published | Nov. 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-7738-0 |
| Keywords | account data, automatic error correction, Business, Collaboration, data quality, electrical power system, error correction, Gears, Hardware, Human Behavior, human factors, Metrics, policy-based governance, Power systems, Production, pubcrawl, resilience, Resiliency, Safe Coding, Technological innovation |
| Abstract | Account data of electrical power system is the link of all businesses in the whole life cycle of equipment. It is of great significance to improve the data quality of power equipment account data for improving the information level of power enterprises. In the past, there was only the error correction technology to check whether it was empty and whether it contained garbled code. The error correction technology for same field of the same kind of power equipment account data is proposed in this paper. Combined with the characteristics of production business, the possible similar power equipment can be found through the function location type and other fields of power equipment account data. Based on the principle of search scoring, the horizontal comparison is used to search and score in turn. Finally, the potential spare parts and existing data quality are identified according to the scores. And judge whether it is necessary to carry out inspection maintenance. |
| URL | https://ieeexplore.ieee.org/document/9332426/ |
| DOI | 10.1109/IICSPI51290.2020.9332426 |
| Citation Key | zhao_automatic_2020 |
Automatic Error Correction Technology for the Same Field in the Same Kind of Power Equipment Account Data