Industry trends
2026.07.06
The 2026 Industrial Internet Conference themed High-Quality Development of Industrial Internet Amid the Artificial Intelligence Wave was held in Beijing on June 30.
Centered on this core theme, the conference launched a series of supporting activities titled Integrating Industrial Internet and Artificial Intelligence to Empower New Industrialization. Luculent was invited to participate in the thematic dialogue Global Insights into the Integrated Development of Industrial Internet and Artificial Intelligence.
The event gathered participants to exchange ideas on hot topics including global smart manufacturing trends and the integrated development of industrial Internet and AI. Sharing the stage with industry experts, the enterprise introduced Luculent’s innovative explorations and implementable solutions for industrial digital and intelligent transformation.
Global Competition Enters a New Era of Computing and Intelligent ComputingXu Mian, expert from Luculent, stated that the large-scale application of the industrial Internet is subverting the production, manufacturing and business logic of traditional industries from the underlying layer.
First, unmanned or minimally manned factories have become a reality.The industrial Internet connects all equipment, techniques and procedures within a factory, turning the plant into an intelligent organic entity capable of independent thinking, autonomous decision-making and collaborative execution. Order scheduling, raw material procurement and inventory scheduling can all be autonomously completed by the system.
Second, flexible mass customization has gained wide popularity.For example, automobile manufacturers rely on industrial Internet platforms to interconnect upstream and downstream data of supply and demand, production capacity and inventory, realize networked collaborative manufacturing, and provide personalized customized services.
Third, continuous integration of hardware and software.Hardware enterprises accelerate the layout of digital software capabilities to endow equipment with an "intelligent brain", while software enterprises land technical scenarios based on hardware terminals.
From a global perspective, competition in the manufacturing industry has shifted from automation competition to competition in integrated intelligent computing capabilities, bringing rapid development to supporting industries such as storage, chips and computing power. Competition over computing power essentially represents the right to speak in future industrial development. The core of future industrial intelligent development lies in the thorough integration of industrial Internet and artificial intelligence.
AI Spawns New Forms of Industrial ServicesXu Mian mentioned that in-depth integration of AI and manufacturing is an inevitable path for current industrial upgrading, and large models serve as the intelligent hub of this profound transformation.
Customers pay more attention to the practical value and pain points solved by digital technologies, with higher preference for highly targeted scenarios.
AI + Energy Consumption Optimization: Algorithm models built on massive operational data accurately improve unit efficiency and cut energy consumption. Quantifiable energy-saving indicators act as the core acceptance standard for project delivery.
AI + Work Safety Control: Vision recognition models can accurately predict various potential safety hazards such as belt overheating and fire risks as well as on-site illegal operations. It shifts management from post-accident disposal to pre-warning, and builds a solid line of defense for intrinsic safety.
AI + Predictive Equipment Maintenance: Diagnostic models trained with massive fault samples predict equipment deterioration trends in advance. It reduces the burden of manual inspection and human operational errors, and effectively extends equipment service life.
With the continuous evolution of industrial vertical large models and industry agents, the industrial Internet will gradually evolve into an AI-native platform. In the future, users only need to put forward business demands, and the platform will automatically generate exclusive intelligent agents to complete scenario deployment.
Meanwhile, emerging scenarios including full-link intelligent management and control of carbon assets and service-oriented extension of the equipment aftermarket are emerging rapidly. On the one hand, full-domain energy consumption and carbon emission data support carbon footprint accounting, decarbonization scheme optimization and intelligent decision-making for carbon trading, boosting the progress of green industrialization. On the other hand, remote data collection enables predictive maintenance and remote fault diagnosis, facilitating manufacturing enterprises’ transformation from product sales to service-oriented manufacturing and opening up brand-new growth space.
Boost the Integration of Industrial Internet and Artificial IntelligenceXu Mian pointed out that industrial Internet and artificial intelligence feature two-way mutual empowerment. Without scenarios and data supplied by the industrial Internet, AI cannot be effectively applied in industrial fields; without in-depth AI intervention, the industrial Internet is merely a data transporter.
To advance high-quality integrated development of industrial Internet and AI, two core choices must be made.
First, leverage the industrial Internet to open up full-process data links and build high-quality industry datasets. Industrial vertical large models are then trained combining process mechanisms and professional know-how to address the drawbacks of general AI such as poor industrial applicability and inaccurate prediction. Priority will be given to high-benefit and rigid-demand scenarios including energy conservation, safety management and equipment maintenance. Pilot demonstration projects will be rolled out first, followed by large-scale promotion from point to surface.
The edge side undertakes real-time data collection and on-site intelligent control to guarantee the safety and real-time performance of industrial production. The cloud side is responsible for mass data storage, large model training, overall scheduling optimization and cross-regional business coordination, realizing model iteration, experience accumulation and capability reuse across the whole domain.
Complementary cloud-edge collaboration can not only adapt to strict operation requirements on industrial sites, but also fully unlock the enabling value of AI technologies. It anchors digital and intelligent technologies firmly in industrial scenarios and continuously activates new productive forces.
Luculent will keep increasing R&D investment in technologies integrating industrial Internet and artificial intelligence, iterate and optimize the industrial AI operating system, and accelerate the construction of an ecosystem for integrated development. With full-stack AI solutions, Luculent will continuously empower the digital upgrading of the industrial sector.
