{"id":4363,"date":"2025-08-16T10:58:46","date_gmt":"2025-08-16T02:58:46","guid":{"rendered":"https:\/\/www.rzautoassembly.com\/?p=4363"},"modified":"2025-08-16T10:58:46","modified_gmt":"2025-08-16T02:58:46","slug":"ai-strategic-layout-of-state-owned-assets-and-central-enterprises-the-first-batch-of-40-high-value-scenarios-empower-multiple-fields","status":"publish","type":"post","link":"https:\/\/www.rzautoassembly.com\/nn\/ai-strategic-layout-of-state-owned-assets-and-central-enterprises-the-first-batch-of-40-high-value-scenarios-empower-multiple-fields\/","title":{"rendered":"AI Strategic Layout of State-Owned Assets and Central Enterprises: The First Batch of 40 High-Value Scenarios Empower Multiple Fields"},"content":{"rendered":"
\"\"<\/a>
\u00a0 Flexible Automatic Assembly Equipment<\/figcaption><\/figure>\n

Strategic Cornerstone: Three-Level Layout to Build an AI Development Framework<\/strong><\/span><\/p>\n

At present, under the guidance of the “Artificial Intelligence +” national strategy, state-owned assets and central enterprises, driven by industry demands and oriented by scenario applications, have carried out a systematic layout in three aspects: AI infrastructure, industry large models, and industrial applications through the combination of independent research and development and cross-border cooperation.<\/p>\n

 <\/p>\n

Scenario Release: 40 High-Value Scenarios Cover 16 Major Fields<\/span><\/strong><\/p>\n

Recently, the State-owned Assets Supervision and Administration Commission of the State Council officially released the first batch of 40 central enterprises’ artificial intelligence strategic high-value scenarios at the “AI Rejuvenation, Industrial Win-Win” Enterprise Artificial Intelligence Industry Development Forum. The scenario applications cover 16 fields including industrial manufacturing, smart energy, iron and steel metallurgy, material research and development, medicine and medical care, information and communication, and smart agriculture.<\/p>\n

 <\/p>\n

Industrial Manufacturing: AI Deeply Penetrates Precision Production Links<\/span><\/strong><\/p>\n

In the field of industrial manufacturing, it covers three key application scenarios: Aviation Industry Corporation’s “Machine Vision C919 Full Aircraft Fatigue Test Damage Detection”, China State Shipbuilding Corporation’s “Data-Model Dual-Driven Intelligent Prediction of Ship Structural Stress Field”, and Commercial Aircraft Corporation of China’s “AI Composite Material Performance Intelligent Prediction”. Among them, in the production of precision parts, the nut automatic assembly machine equipped with AI visual recognition and adaptive adjustment algorithms can realize high-speed and accurate assembly of nuts of <\/u><\/a><\/span>different specifications by real-time detection of parameters such as nut size deviation and thread integrity, with the defective rate controlled below 0.05%, providing intelligent support for the standardized production of high-end equipment manufacturing.<\/p>\n

 <\/p>\n

Smart Energy: Eight Scenarios Drive the Intelligentization of the Energy Industry<\/span><\/strong><\/p>\n

The smart energy field includes eight application scenarios such as China National Nuclear Corporation’s “Generative Fusion Completion and Quality Monitoring of Nuclear Fusion Diagnostic Data”, State Grid’s “Intelligent Inspection and Operation Disposal of Power Transmission, Transformation and Distribution Equipment”, National Energy Group’s “Application of Intelligent Coal Quality Rapid Detection Technology in the Entire Coal Industry Chain”, and SDIC’s “Whole-Life Cycle Intelligent Management and Control of High-Altitude Large-Scale Photovoltaic Power Stations”.<\/p>\n

 <\/p>\n

Information and Communication: Three Scenarios Consolidate the Digital-Intelligent Base<\/span><\/strong><\/p>\n

In the field of information and communication, China Telecom’s “Full-Level Intelligent Penetrating Supervision System”, China Mobile’s “Public Cloud Full-Process AI + Disposal of 100-Million-Level Cloud Threats”, and China Tower’s “‘Mountains, Rivers, Forests, Fields, Lakes, Grass and Sand’ Spatial Digital-Intelligent Governance” have become three major application scenarios.<\/p>\n

 <\/p>\n

Resource Inclination: Accelerate the Large-Scale Implementation of AI Technology<\/span><\/strong><\/p>\n

It is reported that the selected scenarios will give priority to resource inclination such as funds and data, promoting the transformation of AI technology from “bonsai-style” pilots to “rainforest-style” large-scale applications.<\/p>\n

 <\/p>\n

Special Action: Launch “AI+” to Accelerate Transformation<\/span><\/strong><\/p>\n

To more effectively integrate into the wave of artificial intelligence development, in 2024, the State-owned Assets Supervision and Administration Commission of the State Council launched the central enterprise “AI+” special action. This action aims to promote central enterprises to deeply integrate artificial intelligence technology in their digital transformation, thereby improving operational efficiency, enhancing innovation capabilities, and accelerating the transformation towards intelligence and high-end.<\/p>\n

 <\/p>\n

Deepened Deployment: Focus on “Root Technology” Breakthroughs and Innovation<\/span><\/strong><\/p>\n

On February 19, 2025, the State-owned Assets Supervision and Administration Commission of the State Council held a meeting to deepen the deployment of the central enterprise “AI+” special action. The meeting emphasized that state-owned assets and central enterprises should seize the strategic window period for the development of the artificial intelligence industry, strengthen scientific and technological innovation, focus on key areas to accelerate the mastery of “root technologies”, firmly tackle large models, actively participate in the construction of an open ecosystem, promote more “from 0 to 1” original innovations, and accelerate the transformation of achievements and industrialization development.<\/p>\n

 <\/p>\n

Benchmark Leadership: The Effect of AI Layout Highlights Industry Demonstration<\/span><\/strong><\/p>\n

At present, under the guidance of the “Artificial Intelligence +” national strategy, state-owned assets and central enterprises, driven by industry demands and oriented by scenario applications, have carried out a systematic layout in three aspects: AI infrastructure, industry large models, and industrial applications through the combination of independent research and development and cross-border cooperation. And significant progress has been made in key areas of the artificial intelligence industry such as applications, computing power, data, and models, becoming a benchmark for the intelligent upgrading of the industry.<\/p>\n

Types of automatic assembly machines<\/a><\/span>
\nMachine assembly process<\/a><\/span><\/p>","protected":false},"excerpt":{"rendered":"

Strategic Cornerstone: Three-Level Layout to Build an AI Development Framework At present, under the guidance of the \u201cArtificial Intelligence +\u201d national strategy, state-owned assets and central enterprises, driven by industry demands and oriented by scenario applications, have carried out a systematic layout in three aspects: AI infrastructure, industry large models, and industrial applications through the [\u2026]<\/p>","protected":false},"author":1,"featured_media":4365,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,124],"tags":[],"class_list":["post-4363","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-technology"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.rzautoassembly.com\/nn\/wp-json\/wp\/v2\/posts\/4363","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rzautoassembly.com\/nn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.rzautoassembly.com\/nn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/nn\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/nn\/wp-json\/wp\/v2\/comments?post=4363"}],"version-history":[{"count":0,"href":"https:\/\/www.rzautoassembly.com\/nn\/wp-json\/wp\/v2\/posts\/4363\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/nn\/wp-json\/wp\/v2\/media\/4365"}],"wp:attachment":[{"href":"https:\/\/www.rzautoassembly.com\/nn\/wp-json\/wp\/v2\/media?parent=4363"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/nn\/wp-json\/wp\/v2\/categories?post=4363"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/nn\/wp-json\/wp\/v2\/tags?post=4363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}