Industrial AI + Energy

This year’s Government Work Report introduced for the first time the concept of "building a new form of smart economy" and emphasized the need to "implement new infrastructure projects such as ultra-large-scale intelligent computing clusters and computing-power-electricity coordination." This has created boundless imaginative space and provided solid, strong support for a new leap in economic and social development.

It is foreseeable that AI’s demand for electricity will grow explosively in the future. The essence of "Token going global" is converting electricity into computing power, and computing power into intelligence. Whoever has cheaper, more stable electricity and a more flexible power grid holds the core advantage in the AI era. Hence, another saying has emerged online: "The end point of electricity is China."

However, during the critical period of the "15th Five-Year Plan" for achieving carbon peaking goals, China’s energy system faces multiple challenges while embracing the massive computing power demand brought by AI: system volatility due to large-scale integration of new energy, higher requirements for operation and maintenance safety and efficiency due to complex equipment, and the urgent need for collaborative refinement across the entire industrial chain. How can we improve efficiency, accelerate transformation, and accommodate exponentially growing energy consumption while ensuring energy security?

The answer lies in the integrated innovation of "Industrial AI + Energy."

Empowering the energy system with AI to achieve sharper perception, more accurate prediction, smarter decision-making, and more automated execution—unlocking efficiency potential across source, grid, load, and storage—is the key to solving these challenges and the inevitable direction for industrial development.

01. Technological Foundation: Full-Stack AI Capabilities Strengthen the Digital Base of Energy Management

Facing the wave of AI technology, Luculent Smart, based on years of deep cultivation in process industries, has proposed an "AI All-in" strategy. Its core is to build a fully AI-driven product system, making AI the foundational capability layer of products, and focusing on creating scalable industry-specific AI solutions.

Relying on the SuChang Industrial Internet Platform—a national-level "dual-cross" platform—Luculent Smart focuses on the core capabilities of "industrial modeling and big data analysis" to develop a complete industrial internet platform architecture covering the edge layer, IaaS layer, and PaaS layer, providing robust technical foundation support for energy AI applications.

Its core technologies include an IoT platform meeting over 95% of data collection scenarios, the TrendDB time-series database with performance comparable to similar foreign products, a digital twin modeling platform for visual modeling, an industrial data intelligence platform that significantly lowers the barrier to AI application, and the self-developed YaoGuang Industrial Large Model. The latter integrates Luculent’s 27 years of professional expertise in the energy sector, equipped with powerful natural language processing, knowledge Q&A, and decision support capabilities.

Based on full-stack technology, Luculent has built a three-tier empowerment system to support the intelligent transformation of energy enterprises at different levels:

At the group-level management, through a cloud-edge collaborative architecture, a smart multi-station management system is constructed to support efficient collaboration across regions and organizations for large energy groups, enabling standardized deployment and centralized control of algorithms, models, and knowledge, and providing unified intelligent support for strategic decision-making, resource optimization, and risk control.

At the system-level collaboration, energy production, supply, storage, and sales are horizontally integrated, while the entire process of "investment-construction-operation" is vertically traversed, achieving data fusion and process coordination, eliminating organizational barriers, operational silos, and data isolation, and promoting the integration of infrastructure/production, production/management, and business/finance.

At the equipment-level optimization, leveraging the technical integration advantages of "software-hardware integration," precise and real-time collection of multi-dimensional operational parameters of equipment is achieved through the deployment of products such as SuChang wireless smart sensors, LKC108 vibration data collectors, and large model all-in-one machines. Based on complete high-fidelity data, equipment digital twins are constructed, integrating mechanism models and AI data models to form a full closed-loop intelligent control system—from equipment anomaly perception and intelligent diagnosis to root cause analysis and predictive maintenance strategy generation—comprehensively enhancing equipment reliability and operational efficiency.

02. Scenario Empowerment: Multi-Dimensional Deployment Releases New Efficiency of AI + Energy

Luculent Smart believes that the value of AI lies in deep integration with scenarios. Leveraging long-term experience serving the power generation industry, the company is infusing AI capabilities into energy production and operation processes across high-value business areas such as operations, equipment, safety, economics, and management, and has developed a range of highly valuable, scalable AI applications.

First, Intelligent Production Operations: From "Manual Monitoring" to "AI-Assisted Operations." Traditional power plant operations rely on manual monitoring and personal experience, with high intensity and risks. Luculent’s smart monitoring system uses AI to continuously analyze real-time operational data, enabling abnormal trend identification, intelligent optimization of operating conditions, and operational assistance, helping operators detect issues earlier and locate causes faster, significantly improving safety and stability. 

Second, Smart Equipment Maintenance: From "Scheduled Maintenance" to "Predictive Maintenance." AI comprehensively analyzes data such as equipment vibration, temperature, current, and historical faults to achieve equipment health assessment, anomaly identification, and predictive maintenance, driving maintenance toward "condition-based upkeep." Simultaneously, it enables automatic defect identification, maintenance solution recommendations, and work order generation, streamlining the entire fault-handling process and effectively reducing unplanned downtime risks and maintenance costs.

Third, Systematized Safety Management: From "Post-Incident Handling" to "Preventive Measures." Luculent deeply integrates "penetrative supervision" with AI to build an "AI + Penetrative Safety Management System" covering all levels, chains, processes, and elements. By integrating video AI, personnel positioning, production data, and management systems, a three-dimensional security system combining "intelligent personnel spot checks + robot inspections + video AI recognition" is created. This enables intelligent identification of operational behaviors, early warnings for operational violations, intelligent supervision of high-risk operations, and closed-loop management of safety hazards, comprehensively enhancing on-site safety management.

Fourth, Economical Operation Optimization: From "Local Optimization" to "Global Optimization." For complex multi-variable optimization problems such as boiler combustion optimization, unit economic optimization, cold-end optimization, and multi-unit coordination, AI can use machine learning and optimization algorithms to find optimal operational strategies within a broader scope, achieving energy conservation and consumption reduction.

Fifth, Refined Business Management: From "Experience-Based Judgment" to "Data-Driven Decisions." As power market reforms deepen, the management focus of power generation enterprises is shifting toward "balancing safety and operations." By integrating production, fuel, and market data, AI supports power generation cost analysis, fuel and electricity price forecasting, and power generation strategy decision assistance, helping enterprises transition from experience-based to data-driven decision-making and enhancing market competitiveness.

03. Ecosystem Integration: Localization Breakthroughs Promote Industry Transformation

Luculent Smart adopts an open approach to gather momentum and empower, collaborating with industry partners to build a new industrial intelligence infrastructure.

In terms of technological autonomy, Luculent has established strong partnerships with over 40 leading innovation-driven enterprises, including Huawei, Great Wall, Kylin, and Dameng, promoting full technical stack adaptation across seven major fields from chips to operating systems to applications. Its operational optimization digital intelligence products are deeply integrated with domestic DCS system manufacturers, with optimization applications already deployed in Zone 1. The LiEMS 8.0 product has been implemented in over a hundred projects, including State Power Investment Corporation, CNOOC Gas & Power Group, and China Three Gorges Corporation’s Yangtze Power.

In terms of industrial collaboration, Luculent initiated the establishment of the energy industry’s first innovation alliance and technology laboratory. It collaborated with large groups such as China National Coal Group and Huadian Coal Industry to release a new ecosystem for digital management and intelligent maintenance services throughout the lifecycle of coal group equipment. Simultaneously, it partnered with the digital technology subsidiaries of large central state-owned enterprises like State Power Investment Corporation, SDIC, and Jiangsu Guoxin to promote technological breakthroughs, achievement transformation, and talent development, jointly creating sustainable value.