Browse > Article
http://dx.doi.org/10.22156/CS4SMB.2020.10.07.041

AMI Network Failure Analysis based on Graph Database  

Jeong, Woo-Cheol (Computer Science, Soongsil University)
Jun, Moon-Seog (Computer Science, Soongsil University)
Choi, Do-Hyeon (Computer Science, Soongsil University)
Publication Information
Journal of Convergence for Information Technology / v.10, no.7, 2020 , pp. 41-48 More about this Journal
Abstract
Recently, the spreading business of AMI (Advanced Metering Infrastructure) remote metering systems in various regions of the country has been activated, and it provides various metering functions such as two-way communication and security plan functions for power demand management. Current AMI system is difficult to analyze based on the existing RDB(Relational Database) due to the increase in the size of new internal IoT devices and networks. This study proposes a new GDB(Graph Database) based failure analysis method that utilizes existing RDB data. It analyzes the correlation of new failure patterns through accumulated data such as internal thresholds and status values. As a result of GDB-based simulation, it was confirmed that RDB can predict to a new obstacle pattern that was difficult to analyze.
Keywords
Graph Database(GDB); Internet of Things(IoT); Network Failure Analysis; Pattern Analysis; Remote meter Reading System;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 H. Y. Kim & S. T. Kim. (2013). Technical Trends of AMI and HEMS for Smart Grid Implementation. Electronics and Telecommunications Trends, 28(2), 11-19. DOI : 10.22648/ETRI.2013.J.280202
2 Y. J. Myeong. (n.d.). The core infrastructure for the smart grid AMI implementation. KEPCO KDN(Online). https://www.kdn.com
3 B. Y. Park. (2019). AMI 2.0 and Next Generation Powerline Communication IoT-PLC. Institute of Information & communications Technology Planning & Evaluation, https://www.iitp.kr
4 Y. K. Lee & J. N. Kim. (2017). Smart meter security through AMI threat analysis. The Journal of Korean Institute of Communications and Information Sciences, 34(10), 24-30.
5 S. M. Jeong & C. T. Park. (2018). A Study on the Development of the Remote Metering System for Distribution Power by applying KCMVP Security Function, The Korean Institute of Electrical Engineers Conference, 283-284.
6 Y. I. Kim, S. J. Park, Y. J. Kim, N. J. Jung, M. S. Choi & B. S. Park. (2016). Development of AMI NMS (network management system) using SNMP for network monitoring of meter reading devices, KEPCO Journal on Electric Power and Energy, 2(2), 259-268. DOI : 10.18770/KEPCO.2016.02.02.259   DOI
7 KEPCO KEPRI. (2017). Study of Real-time Monitoring and Fault Analysis Technology of AMI Communication Network, Technical Report.
8 KEPCO KDN. (n.d.). Advanced Metering Infrastructure. KEPCO KDN(Online). https://www.kdn.com
9 M. S. Choi. S. K. Kang & J. C. Yoon. (2016). Design of Advanced Metering Infrastructure System for Internet of Thing, In Proceedings of KIIT Conference, 107-111.
10 H. O. Lee et el. (2016). Research on IoT Standards in Power and Energy, The Journal of Korean Institute of Communications and Information Sciences, 33(12), 12-21.
11 Y. M. Jeong. (2019). Comparison of PLC Specifications Focusing on IoT PLC, The Institute of Electronics and Information Engineers Conference, 528-530.
12 J. H. Jung, J. H. Lee & J. O. Lee. (2018). A Metering Method for AMI Communication Shadow Areas. The Korean Institute of Electrical Engineers Confrence, 15-16.
13 Vassilev et el. (2014). Cryptographic Module Validation Program (CMVP) (No. ITL Bulletin November 2014). National Institute of Standards and Technology.
14 KEPCO KDN. (n.d.). AMI Gateway. KEPCO KDN(Online). https://www.kdn.com
15 J. H. Jung & H. G. Seoc. (2018). An Efficient Method for Meter Data Collection in AMI System, The Journal of Korean Institute of Communications and Information Sciences, 43(8), 1311-1320. DOI : 10.7840/kics.2018.43.8.1311   DOI