Research progress and application discussion on intelligence grading evaluation of transport network operation and management

doi:10.12267/j.issn.2096-5931.2023.06.013

Abstract

Abstract:

On the basis of the existing research on the intelligence grading evaluation of operation and management, this paper first introduces the current standardization research situation of intelligence grading evaluation of information communication network both at home and abroad. Then, it discusses several considerations and main challenges faced by the intelligence grading evaluation of transport network operation and management. Finally, it studies the main characteristics and application of the related grading evaluation methods.

Key words: transport network, intelligence, grading evaluation, evaluation object, scenario

CLC Number:

TN929.11

WANG Yu. Research progress and application discussion on intelligence grading evaluation of transport network operation and management[J]. Information and Communications Technology and Policy, 2023, 49(6): 91-96.

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http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2023.06.013

http://ictp.caict.ac.cn/EN/Y2023/V49/I6/91

比较分析因素	ITU-T Y.3173	TMF IG1252	ETSI GR ENI 010
评估过程框架	兼容	兼容	兼容
评估方法	短板法	平均法	量化加权平均法
客观性	相对客观	相对客观	由于引入权重,存在更多主观因素
评估标准	通用分级标准	定制化的典型场景评估方案	面向AI应用的定制化评估方案
评估精度	偏低	适中(精确到功能)	较高(精确到功能和影响指标)
评估周期	短	较长	较长
应用策略建议	初评/定性评估	典型场景的评估	启用AI应用的评估

比较分析因素	ITU-T Y.3173	TMF IG1252	ETSI GR ENI 010
评估过程框架	兼容	兼容	兼容
评估方法	短板法	平均法	量化加权平均法
客观性	相对客观	相对客观	由于引入权重,存在更多主观因素
评估标准	通用分级标准	定制化的典型场景评估方案	面向AI应用的定制化评估方案
评估精度	偏低	适中(精确到功能)	较高(精确到功能和影响指标)
评估周期	短	较长	较长
应用策略建议	初评/定性评估	典型场景的评估	启用AI应用的评估

[1]	TMF. IG1218 autonomous networks-business requirements & architecture[R], 2020.
[2]	TMF. IG1230 autonomous networks-technical architecture[R], 2021.
[3]	TMF. IG1252 autonomous network levels evaluation methodology[R], 2021.
[4]	ITU-T Y. 3173 framework for evaluating intelligence levels of future networks including IMT-2020[R], 2020.
[5]	ETSI. GR ENI 007 Experiential Networked Intelligence (ENI); ENI definition of categories for AI application to networks[R], 2019.
[6]	ETSI. GR ENI 010 Experiential Networked Intelligence (ENI); evaluation of categories for AI application to networks[R], 2021.

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Research progress and application discussion on intelligence grading evaluation of transport network operation and management

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