统与AI大模型，让传统工厂从此拥有"智慧大脑"，通过与UCS等"手、眼"的配合，变成一个能感知、会思考、能自主完成复杂任务的工业AI工厂，从自动化 迈向自主化，真正实现工业自主运行。 我们可以非常有信心地说，以"（UCS+TPT）"为代表的工业具身智能模式，就是流程工业未来AI应用的样子。它的出现，首次让工业AI呈现出一种"完整可 用"的形态，不再停留于实验室场景或零散的算法模型，而是构建在真实的工业场景和需求之上，完全能够应对石化、化工等涉及化学反应这类最复杂环境 领域的行业，从预测预警到工艺优化，再到全流程智能决策，形成了一个完整的解决方案体系，真正实现从"辅助驾驶"到"无人驾驶"的跨越。 更令我们激动的是，这套体系的价值已在更广泛的实践中得到了量化验证：在中石油兰州石化榆林化工，我们的TPT有效应对了乙烯装置感知能力弱、效益 平衡难与操作调整慢等行业难题，达成预测准确率99.79%、单炉乙烯收率提高0.373%、整体年效益预计1，500万元的卓越表现；在内蒙兴发，TPT助力优化 电解槽集群的闭环控制，平均每天电耗降低6，700多度，如果按工业软件5年生命周期来计算，单场景就能累计节电超1.2亿度，这相当 ...

Investment Rating - The investment rating for the company is "Buy" (maintained) [1] Core Views - The company is experiencing short-term pressure on performance, but it is making strategic breakthroughs in industrial AI and robotics, which are expected to open long-term growth opportunities [1][4] - The company is a leader in process industrial intelligent manufacturing and is expected to benefit from equipment upgrade policies and overseas expansion opportunities [4][6] Financial Performance Summary - In the first half of 2025, the company achieved operating revenue of 3.83 billion yuan, a year-on-year decrease of 9.92%, and a net profit attributable to the parent company of 354 million yuan, down 31.46% year-on-year [5] - The company’s exchange loss was 13.40 million yuan, compared to a gain of 3.01 million yuan in the first half of 2024 [5] - After excluding the impact of exchange losses, the adjusted net profit was 294 million yuan, a decline of 25.82% year-on-year [5] Revenue and Profit Forecast - The revised profit forecast for 2025-2027 is 1.12 billion, 1.29 billion, and 1.55 billion yuan respectively, with EPS projected at 1.41, 1.63, and 1.96 yuan per share [4][8] - The current stock price corresponds to P/E ratios of 36.8, 31.9, and 26.5 for the years 2025, 2026, and 2027 respectively [4][8] Market Opportunities - The demand for process industrial equipment is continuously increasing, with significant growth in the energy, building materials, and paper industries, showing year-on-year increases of 9.32%, 82.58%, and 77.56% respectively [6] - The company is expanding its international strategy, achieving significant breakthroughs in regions such as Southeast Asia, the Middle East, and Central Asia, with notable progress in certification for core products in Saudi Arabia [6] Industrial AI and Robotics Development - The TPT software has entered a phase of large-scale application, generating revenue of 117 million yuan in the first half of 2025, with over 110 successful projects implemented in various industries [7] - The robotics business is also growing rapidly, with revenue of 110 million yuan in the first half of 2025 and new orders totaling 200 million yuan, surpassing the entire performance of 2024 [7]

Core Viewpoint - The company is accelerating its strategic transformation towards becoming an industrial AI company, enhancing its global presence, and entering the humanoid robot market [1][4]. Financial Performance - In the previous year, the company achieved a revenue of 9.139 billion yuan, a year-on-year increase of approximately 6%, and a net profit attributable to shareholders of 1.117 billion yuan, up 1.38% year-on-year [1]. - Excluding the impact of GDR foreign exchange gains and losses, the net profit attributable to shareholders was 1.092 billion yuan, representing a year-on-year growth of 9.60% [1]. Strategic Initiatives - The year 2025 is identified as a critical period for the company's strategic shift, with increased R&D investment in AI technology leading to short-term performance pressure but positioning the company for future growth [1]. - The company has launched innovative products such as the UCS universal control system and the TPT temporal industrial model, aimed at enhancing AI applications in process industries [2]. Product Innovations - The UCS system reduces cabinet room space by 90%, shortens construction time by 50%, and increases communication speed by over 100 times, representing a revolutionary innovation in control systems [2]. - The TPT model achieves a self-control rate of over 95%, reduces nitrogen oxide emissions by 5%, and decreases coal consumption by over 3.1%, providing significant economic benefits to clients [2]. Market Outlook - According to Omdia, the AI software market is expected to experience explosive growth, reaching a scale of 218 billion USD by 2029, driven by the integration of industrial AI models and agents [3]. - The company is actively promoting the development and application of TPT and robotics, anticipating these technologies will drive new growth [3]. Humanoid Robotics - The company has invested in the Zhejiang Humanoid Robot Innovation Center, which has launched two generations of humanoid robots and is moving towards mass production [4]. - The company has introduced the "Plantbot" solution, integrating AI and robotics to enhance perception, decision-making, and execution capabilities [4]. Global Expansion - In 2024, the company's overseas revenue reached 749 million yuan, a year-on-year increase of 118.27%, accounting for 8.25% of total revenue [5]. - The company has established 21 subsidiaries and 5 new 5S stores in various regions, enhancing the global influence of the SUPCON brand [5]. Strategic Partnerships - The company has formed deep collaborations with international clients such as Saudi Aramco and Petronas in various fields including control systems and industrial software [6]. - The company is pursuing acquisitions and partnerships to support its strategic transformation towards industrial AI and robotics [6].

Investment Rating - The report suggests a positive outlook on the industrial AI sector, highlighting potential breakthroughs in deployment, reliability, and cost-effectiveness [1]. Core Insights - The report emphasizes that the application of AI in industrial settings may progress faster than market expectations, with significant advancements in multi-modal large models and the integration of AI agents [1][6]. - It identifies three core application modes of industrial AI: recognition applications, data modeling and optimization applications, and knowledge reasoning and decision-making applications [25][26]. - The report indicates that the cost of AI token inputs has significantly decreased, while labor costs in the manufacturing sector have been rising, suggesting a potential tipping point for "machine replacement" [27][28]. Summary by Sections 1. Industrial AI - The report discusses the challenges of high data complexity, low tolerance for errors, and high cost sensitivity in industrial AI applications [6]. - It highlights the evolution of multi-modal large models, which are expected to reduce the difficulty of processing unstructured data in industrial scenarios [7][9]. - The integration of large models for guidance and small models for execution is proposed as a collaborative approach to enhance reliability in production processes [22][23]. 2. Industrial AI Middleware - The report notes that industrial AI middleware is in its early penetration phase, addressing the need for seamless iteration between model and data sides [1][2]. - It outlines the commercial progress of industrial AI middleware, with significant contracts awarded, such as a project worth 48.67 million yuan for AI middleware capabilities [39][41]. - The middleware is expected to have high construction barriers, requiring capabilities in computing power integration, model management, and industrial data governance [2][3]. 3. Industrial AI Applications - The report identifies that the maturity of AI applications in production control is leading, with over 57% of applications focused on this area [1][3]. - It highlights specific use cases, such as the AI+PCB solution by Saiyi Information, which automates the entire process from parameter analysis to cost query and quote generation [21]. - The report also mentions the emergence of vertical agent applications in various sectors, indicating a shift towards subscription-based models in industrial AI [22][39]. 4. Investment Recommendations - The report recommends focusing on key players in the industrial AI sector, such as Zhongkong Technology, Saiyi Information, and Zhongwang Software, as they are expected to benefit from the ongoing developments in industrial AI applications [1][2].