2026 marks the inaugural year of the 15th Five-Year Plan. China has intensively released policies such as "Artificial Intelligence + Manufacturing" and the integrated development of industrial internet and artificial intelligence, outlining a top-level blueprint and charting practical pathways for deep industry empowerment. These policies have injected robust momentum into the digital-intelligent transformation of manufacturing and the quality-efficiency enhancement of the digital economy.

On March 5, at the first "Ministerial Channel" of the Fourth Session of the 14th National People's Congress, Li Lecheng, Minister of Industry and Information Technology, pointed out that artificial intelligence, as a "critical variable," is becoming a "strong driver" for high-quality economic development. In 2026, the Ministry of Industry and Information Technology will, in accordance with the requirements of the Government Work Report, vigorously promote the mutual advancement of artificial intelligence (AI) and manufacturing, and fully drive breakthroughs and iterative updates in new-generation AI products.

Facing new opportunities arising from the upgrading of national strategies, Luculent Smart remains committed to promoting the deep integration of AI and industrial software. By focusing on key industries to establish benchmark demonstrations, strengthening core foundational support in areas such as computing power, data, and talent, and cultivating a more dynamic AI application ecosystem, we are accelerating the full release of the multiplier effect of "AI + Manufacturing".

— Enabling AI to Take Root and Deliver Value in High-Value Industrial Scenarios

The integration of AI with core business is a "two-way drive" fueled by customer demand and enterprise strategy.

On one hand, process industry enterprises, amid their digital transformation, continuously seek upgrades in production efficiency, product quality, and equipment reliability, urgently needing new technologies to break through traditional production bottlenecks. On the other hand, Luculent Smart has "softwareized and modeled" 27 years of accumulated manufacturing experience, deeply cultivating high-value scenarios such as "AI + Safety Production, AI + Operational Optimization, AI + Equipment Maintenance, AI + Energy Efficiency Optimization," to build cross-industry, cross-scenario, and reusable underlying industrial AI capabilities.

• At Huadian Coal Industry Group, the Equipment Full Lifecycle System transforms into an intelligent "Super Steward," overseeing equipment from "commissioning" to "decommissioning," predicting health conditions in advance. This AI-driven "preventive treatment" approach to maintenance enhances management efficiency and reduces frontline workload.

• At Guoneng Shenwan Ma'anshan Power Plant, the AI Visual Recognition System "intelligently" guards the frontline with algorithmic inspections, accurately identifying and pre-warning scenarios such as fire hazards, belt misalignment, and leaks. It weaves a dense safety production protection network from the source.

• At Baowu Group's Baosteel, Ma Steel, Tai Steel, Meisteel, Kunming Steel, and other bases, the Dust Removal Fan Energy Consumption Optimization System breaks through traditional experience-based operations. By integrating AI data models and smoke visual recognition technology, it perceives production conditions and dust removal air volume demands in real time, enabling precise control. This ensures dust removal effectiveness while minimizing energy consumption to optimal levels, achieving a comprehensive power saving rate of 10%–15%, helping enterprises realize the triple value of "cost reduction, efficiency improvement, and carbon reduction."

By directly addressing industry pain points, AI technology genuinely enters industrial scenarios, integrates into operations, solves problems, and creates value, driving traditional production toward a new paradigm of safe, efficient, and lean intelligent operations.

— Building a Full-Stack AI Empowerment Capability

Addressing the transformation needs of enterprises of different scales and industries, Luculent Smart comprehensively implements the "AI All-In" strategy. Using the Suchang Industrial Internet Platform as the foundation and relying on a "cloud-edge collaboration" architecture, AI technology is integrated into core product systems such as industrial large models, industrial APPs, industrial intelligent control systems, industrial intelligent agents, and industrial datasets. This achieves a comprehensive upgrade from singular industrial software to "industrial intelligent agent clusters."

Rooted in industry, with deeper insight into manufacturing! The birth of the "Suchang Yaoguang Industrial Large Model" is deeply embedded in Luculent Smart's accumulated "industrial genes" and "ocean of knowledge." Covering the entire chain of knowledge management, resource management, model management, scenario application, model security, intelligent agent development, and service management, it forms a fully functional and highly synergistic industrial large model system. It has already been deployed in several large enterprises, including China National Coal Group, Guodian Electric Power, Zhaojin Mining, and State Nuclear Power Demonstration, providing comprehensive frontline support for answering queries, guiding maintenance, reviewing solutions, generating reports, and aiding decision-making—making industrial AI truly usable, reliable, and fast-acting.

If the large model is the "engine" of industrial AI, then intelligent agents are the chassis, body, and wheels mounted onto that engine, fully fueled and speeding ahead.

On the production frontlines, intelligent agents transform into:

• "Safety Sentinels" conducting 24/7 hazard identification and intelligent decision-making.

• "Maintenance Assistants" automatically generating professional equipment inspection reports, efficient and worry-free.

• "Energy Efficiency Stewards" intelligently optimizing the performance of power plant units, ensuring efficient and stable operation.

• "Knowledge Trainers" conducting job-specific knowledge training to rapidly disseminate professional skills.

• "Risk Control Consultants" providing services like contract risk identification and review, building barriers for enterprise operational development...

Hundreds of specialized intelligent agents operate with "clear division of labor, mutual interaction, and global optimization," forming a complete autonomous decision-making chain and achieving multi-dimensional, high-efficiency collaborative operations.

Without high-quality datasets, even the most advanced algorithms are like a cook without rice. Therefore, Luculent's technical teams are rooted in project frontlines, collaborating with client engineers to select, label, and process data. They build high-quality industry datasets covering small model training, large model fine-tuning, and professional knowledge bases, transforming veteran experience and paper-based ledger knowledge into structured data assets. This makes experience quantifiable, knowledge inheritable, and decisions evidence-based, promoting the marketization of data elements.

The construction of the technical system lays the underlying foundation for the large-scale deployment of industrial AI. Luculent Smart's advantage lies in transforming its full-stack AI capabilities into replicable, scalable mature solutions, effectively lowering the threshold and cost of enterprise intelligent transformation.

— Building a Strong Talent Foundation for the AI Era

The successful implementation and thriving ecosystem of industrial AI require not only interdisciplinary talent proficient in industry, software, and AI but also a vibrant, widely accessible industrial AI innovation ecosystem.

To this end, Luculent Smart adheres to a "two-handed, both-firm" strategy:

• One hand strengthens the technical foundation. Establishing the Industrial Internet Research Institute and the Smart Energy Research Institute, focusing on pioneering AI technology breakthroughs, vigorously cultivating interdisciplinary talent who understand industry, scenarios, and processes, actively introducing professionals deeply experienced in AI, continuously hosting technical exchange summits, and constantly enriching technical expertise to enhance core competitiveness, paving the way for deep integration of AI technology and industry needs.

• The other hand solidifies the cooperation foundation. Co-building multiple innovation consortia with universities, research institutions, and leading enterprises to construct an integrated "government-industry-academia-research-application" innovation system. Establishing university-enterprise共建 laboratories and training bases, such as with Wuhan University of Technology, where corporate executives conduct "hands-on teaching," bringing real industrial scenarios and projects into campuses. Under the dual guidance of academic and corporate mentors, students can interface with industry frontlines earlier and adapt to job requirements faster. Through early reserve, priority selection, and定向培养, the integration of the education chain, talent chain, and industry chain is promoted, continuously infusing fresh talent into the industry and steadily "sowing seeds" for the long-term development of the industrial AI ecosystem.