智慧能源领域标准数字化转型可识别技术路径OA
The machine-recognition technology path of standard digital transformation in the field of smart energy
智慧能源是能源革命、行业转型的重要方向,其标准化为能源领域技术进步、产业发展提供有力支撑.数字经济时代,标准数字化转型成为大势所趋.针对智慧能源领域标准,研究建立"通用标准信息模型建立、可扩展标签集映射规则创建、标准格式转化、验证平台可识别层级验证评价、标准优化反馈"关键环节环环相扣的可识别技术路径,选取智慧能源领域 4 个国际标准进行技术路径实践,聚焦标准数字化转型中标准结构、要素和内容的成熟度和适用度进行评价,为智慧能源领域的标准数字化初级阶段转型提供可行技术路径,为相关领域的标准数字化研究和实践提供重要参考.
Smart energy is one of the most important directions of energy revolution and transformation.Its standardization can provide strong support for technology advancement and industrial development in energy field.In the context of the overarching trend of digital development,the digital transformation of standards has also become an inevitable trend.This paper conducted research on machine-recognition technology pathways for the digital transformation of standards in the field of smart energy.A pathway was established,which includes the development of a general standard information model,the creation of extensible label set mapping rules,standard format conversion,verification and evaluation using the verification tool,and standard optimization feedback.Four international standards of smart energy were selected for practical implementation.The transformation and validation of the identifiable levels of these four standards were completed,and the maturity and applicability of the identifiable levels were evaluated.The results show that the maturity and applicability of the identifiable levels of the four standards are high.This study provides a feasible technology pathway for the initial stage of digital transformation of standards in the smart energy field and serves as an important reference for standard digitalization research and practice in related fields.
LI Wenwen;LIYAN Ruoyue
National institute of metrology China,Beijing 100029,ChinaNational institute of metrology China,Beijing 100029,China
智慧能源标准数字化机器可识别
smart energystandarddigitizationmachine-recognition
《中国电力》 2026 (1)
57-65,9
This work is supported by the National Key Research and Development Program of China(No.2021YFF0601400). 国家重点研发计划资助项目(2021YFF0601400).
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