收藏切换
Digital-intelligence empowerment: Architecture construction and development strategy of smart nuclear power towards 2035
收藏切换
PDF
Qizhen YE1, Lei ZHANG2, *, Lin GUO2, Lei SONG2, Zenghui XIA2, Xiaoli HUAI3, Gang SU2
Science & Technology Review | 2026, 44(12) : 105 - 113
Less
收藏切换
Science & Technology Review | 2026, 44(12): 105-113
Digital-intelligence empowerment: Architecture construction and development strategy of smart nuclear power towards 2035
Full
Qizhen YE1, Lei ZHANG2, *, Lin GUO2, Lei SONG2, Zenghui XIA2, Xiaoli HUAI3, Gang SU2
Affiliations
  • 1China National Nuclear Corporation, Beijing 100822, China
  • 2China Nuclear Power Engineering Co., Ltd., Beijing 100840, China
  • 3‌China Nuclear Control System Engineering Co., Ltd., Beijing 102401, China
Published: 2026-06-28 doi: 10.3981/j.issn.1000-7857.2025.09.00056
Outline
收藏切换

Driven by the global energy transition and the "dual carbon" goals, intelligent nuclear power has become the core path for the nuclear energy industry to break through the bottlenecks in safety and economy. Nuclear power safety constitutes the fundamental prerequisite for the development of intelligent nuclear power, while intelligent control stands as its most crucial feature. This paper proposes constructing an open and collaborative digital−intelligent application ecosystem for nuclear power, with the digital−intelligent platform as the foundation and digital−intelligent technologies as the core. It aims to gradually empower and integrate with nuclear power control systems, thereby establishing a trinity intelligent nuclear power system characterized by "safety as the foundation, ecology as the wing, and efficiency as the core". Meanwhile, it puts forward a "three−step" plan for the development of intelligent nuclear power over the next decade: establishing an improved intelligent nuclear power standard system within 3 years, launching engineering demonstration applications within 5 years, and completing the construction of a non−safety class intelligent nuclear power ecosystem within 10 years. The paper presents a top−level physical architecture of intelligent nuclear power rooted in nuclear power operation safety, and develops a digital−intelligent platform with modular, process−oriented, and low−code configurable capabilities. By adopting digital−intelligent technologies such as cloud computing, big data, the Internet of Things, mobile Internet, and artificial intelligence, it realizes intelligent services including advanced perception, one−click start−stop, and autonomous decision−making. Ultimately, an innovation−driven model of "platform+business ecosystem+mechanistic model+data−driven+artificial intelligence" is formed, providing directional guidance for energy security and the digital−intellectual transformation of the nuclear energy industry.

intelligent nuclear power  /  digital−intelligent platform  /  integrated design and R&D (Research and Development)  /  modularization  /  process−oriented  /  configurable development
Qizhen YE, Lei ZHANG, Lin GUO, Lei SONG, Zenghui XIA, Xiaoli HUAI, Gang SU. Digital-intelligence empowerment: Architecture construction and development strategy of smart nuclear power towards 2035[J]. Science & Technology Review, 2026 , 44 (12) : 105 -113 . DOI: 10.3981/j.issn.1000-7857.2025.09.00056
Year 2026 volume 44 Issue 12
PDF
125
60
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2025.09.00056
  • Receive Date:2025-09-12
  • Online Date:2026-07-17
  • Published:2026-06-28
Article Data
Affiliations
History
  • Received:2025-09-12
  • Revised:2025-12-29
Funding
Affiliations
    1China National Nuclear Corporation, Beijing 100822, China
    2China Nuclear Power Engineering Co., Ltd., Beijing 100840, China
    3‌China Nuclear Control System Engineering Co., Ltd., Beijing 102401, China
References
Share
https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2025.09.00056
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT