Core Insights - The core viewpoint of the article is the successful implementation of the "Industrial Embodied AI" system, which integrates the TPT time-series model and UCS universal control system, enabling real-time execution in industrial processes, thus transitioning from automation to autonomy [1][3]. Group 1: Technology and Implementation - The "Industrial Embodied AI" system has been successfully deployed at Hubei Xingrui Chemical, demonstrating a closed-loop process that integrates perception, cognition, decision-making, and execution in real production environments [1]. - The TPT model focuses on industrial time-series data, such as equipment operation curves and material reaction cycles, enhancing capabilities in trend detection, anomaly perception, and optimization calculations [1][3]. - The latest TPT2 model introduces an agent mechanism and natural language interaction, allowing frontline engineers to utilize capabilities like simulation, control, optimization, and prediction using everyday language, significantly reducing scene adaptation time from weeks to minutes [2][3]. Group 2: Operational Efficiency and Cost Reduction - The UCS system replaces multiple traditional control systems with a single cabinet, managing over 15,000 points and achieving stable operations with minimal intervention, resulting in a 67% increase in on-site efficiency [4]. - The implementation of UCS has led to a 90% reduction in cabinet space, an 80% decrease in cable costs, and a 50% reduction in project construction time, while overall construction costs have decreased by approximately 60% [3][4]. - The overall production efficiency of the facility has improved by 1% to 3%, with the system being referred to as the "81st digital employee" by frontline staff [4]. Group 3: Safety and Reliability - The UCS employs a distributed redundancy architecture, ensuring seamless takeover by backup nodes in case of key unit failures, thus maintaining continuous production [5]. - A dual confirmation system involving both AI and human oversight is in place for critical parameters, enhancing safety and reliability [5]. - The AI's reliability has been validated on-site, exceeding 98%, supported by a dual-loop mechanism of hardware redundancy and software monitoring [5]. Group 4: Scalability and Future Prospects - The TPT model is designed for rapid reuse across different industries with minimal data adjustments, reducing adaptation costs by over 60% compared to traditional methods [6][7]. - The successful operation of the project at Xingfa Group is paving the way for expansion into metallurgy, construction materials, and discrete manufacturing sectors, with international interest from companies like Saudi Aramco [7]. - The company aims to further enhance the usability and maintainability of its systems, promoting the adoption of "Industrial Embodied AI" across various scenarios to achieve higher quality, lower energy consumption, and greater resilience in industrial processes [8].

Investment Rating - The report maintains an "Outperform" rating with a target price of RMB 72.75, reflecting the company's strong historical foundation and AI investment, alongside accelerating industrial AI applications and optimizing business models [4][26]. Core Insights - The company is positioned as a leader in the industrial AI sector, leveraging over 100EB of industrial data from 100,000 control systems to enhance real-time industrial data capabilities. It integrates AI and robotics to drive automation and has launched innovative products like the UCS control system and TPT foundation models [4][26]. - The company has a stable growth trajectory in key industries, with a market share of 40.4% in the domestic DCS market, and is expanding into emerging sectors such as oil, gas, and Chinese baijiu [4][26]. - Internationally, the company has seen significant growth, with overseas revenue reaching RMB 749 million in 2024, a year-on-year increase of 118.27%, indicating enhanced global operational capabilities [4][26]. Financial Summary - Revenue projections for 2025-2027 are RMB 103.14 billion, RMB 112.80 billion, and RMB 124.66 billion, respectively, with net profits of RMB 12.72 billion, RMB 14.72 billion, and RMB 17.38 billion [11][13]. - The company anticipates EPS of RMB 1.61, RMB 1.86, and RMB 2.20 for the years 2025-2027, reflecting a gradual increase in profitability [11][16]. - The report highlights a stable gross margin trend, with expected gross margins of approximately 36% to 38% across various business segments by 2027 [10][14].

Investment Rating - The investment rating for the company is "Buy" (maintained) [1] Core Views - The company is expected to benefit from equipment renewal policies and overseas expansion opportunities, with industrial AI opening up long-term growth potential [4][6] - The company has shown steady revenue growth, with a 6.02% year-on-year increase in operating income for 2024, reaching 9.139 billion yuan [5][8] - The net profit attributable to the parent company for 2024 was 1.117 billion yuan, a 1.38% year-on-year increase, while excluding GDR exchange gains, the net profit grew by 20.26% [5][6] Financial Performance - The company achieved operating income of 91.39 billion yuan in 2024, with a year-on-year growth of 6.02% [5] - The net profit attributable to the parent company was 11.17 billion yuan, with a year-on-year growth of 1.38% [5] - The gross profit margin improved to 33.86%, an increase of 0.67 percentage points year-on-year [6] - The company’s overseas revenue reached 749 million yuan in 2024, marking a significant year-on-year growth of 118.27% [6] Profit Forecast - The forecast for net profit attributable to the parent company for 2025-2027 is 1.292 billion, 1.508 billion, and 1.769 billion yuan respectively [4] - The expected EPS for 2025-2027 is 1.63, 1.91, and 2.24 yuan per share respectively [4] Market Position - The company is a leader in the process industrial intelligent manufacturing sector, with increasing market share in the petrochemical and chemical industries [6] - The company has successfully launched its first UCS universal control system and TPT time series industrial model, achieving significant breakthroughs in various client applications [7] Valuation Metrics - The current price-to-earnings (P/E) ratio is projected to be 32.5, 27.8, and 23.7 for 2025-2027 [4][8] - The price-to-book (P/B) ratio is expected to decline from 4.3 in 2023 to 3.0 by 2027 [8]