科远智慧成立于1993年5月27日，于2010年3月31日在深圳证券交易所上市，注册及办公地址均为江苏省南 京市。它是国内领先的工业自动化、信息化、智能化解决方案供应商，具备全产业链技术优势。 公司属于计算机 - IT服务Ⅱ - IT服务Ⅲ申万行业，涉及超超临界发电、生物质能等概念板块。作为国内领 先的工业自动化、信息化、智能化技术、产品与解决方案供应商，专注相关产品研发、生产和销售，有 DCS、PLC等产品，提出众多优秀行业解决方案，获多项荣誉，践行工业创新理念，推出系列智慧工业解 决方案。 A股股东户数较上期增加4.79% 截至2025年9月30日，A股股东户数为2.62万，较上期增加4.79%；户均持有流通A股数量为5404.81，较上 期减少4.57%。十大流通股东中，华夏中证机器人ETF（562500）持股329.83万股，相比上期增加61.71万 股；天弘永利债券A（420002）为新进股东，持股146.16万股；天弘中证机器人ETF（159770）持股131.54 万股，相比上期增加22.71万股；南方绩优成长混合A（202003）为新进股东，持股120.00万股；香港中央 结算有限公司持股11 ...

Investment Rating - The report maintains a "Buy" investment rating for the company [1] Core Insights - The company has shown significant growth in its AI business, with a focus on optimizing profitability [1] - In Q3 2025, the company achieved a revenue of 351 million yuan, a year-on-year increase of 5.35%, and a net profit of 54.47 million yuan, up 122.49% year-on-year [4][5] - The company plans to raise up to 1 billion yuan through a private placement to enhance its industrial AI capabilities [9][10] Financial Performance - For the first three quarters of 2025, the company reported total revenue of 1.089 billion yuan, a 5.05% increase year-on-year, and a net profit of 165 million yuan, up 40.34% year-on-year [5] - The gross margin and net margin for the first three quarters of 2025 were 51.35% and 21.37%, respectively, reflecting improvements in operational efficiency [5][6] - The comprehensive expense ratio for the first three quarters was 27.16%, a decrease of 2.35 percentage points year-on-year, indicating effective cost control [6] Strategic Initiatives - The company is focusing on three core projects: "Lingqing" AI empowerment platform, "Lingzhu" industrial software AI toolset, and "Lingzhi" embodied intelligent AI training platform, aimed at enhancing its competitive edge in the industrial AI sector [9][10] - The "Lingqing" platform aims to create an integrated platform for model and intelligent agent development, while the "Lingzhu" project seeks to integrate AI capabilities into industrial software systems [9][10] Market Outlook - The company is well-positioned in the emerging field of embodied intelligence, supported by national policies promoting the development of this industry [10] - The company has a strong technical team of over 100 professionals dedicated to advancing its AI capabilities [11] Earnings Forecast - The company is projected to achieve revenues of 1.75 billion yuan, 2.046 billion yuan, and 2.404 billion yuan for the years 2025, 2026, and 2027, respectively, with corresponding EPS of 0.96, 1.18, and 1.45 yuan [12][14]

Investment Rating - The report maintains a "Buy" rating for the company with a target price of 54.18 CNY based on a 42x PE ratio for 2025 [3][5]. Core Insights - The company is currently facing short-term performance pressure due to macroeconomic impacts on downstream demand and is in a strategic transformation phase with increased expenses [2][9]. - The core products maintain competitive advantages, with the DCS system holding a 40.4% market share and the SIS system at 31.2%, both leading in their respective categories [9]. - The company is investing heavily in AI and innovative business models, with subscription revenue from software reaching 0.77 million CNY, enhancing customer retention and future revenue sustainability [9]. Financial Performance Summary - For 2023, the company reported revenue of 8,620 million CNY, with a year-on-year growth of 30.1%. However, projections for 2025 show a decline in revenue to 8,711 million CNY, a decrease of 4.7% [4]. - The net profit attributable to the parent company for 2023 was 1,102 million CNY, reflecting a 38.1% year-on-year increase, but is expected to drop to 1,024 million CNY in 2025, a decrease of 8.3% [4]. - The company’s gross margin is projected to remain stable around 33.4% in 2025, while the net profit margin is expected to decrease to 11.8% [4]. Revenue and Profit Forecast - The forecasted earnings per share (EPS) for 2025, 2026, and 2027 are 1.29 CNY, 1.49 CNY, and 1.72 CNY respectively, adjusted from previous estimates [3][10]. - The company’s operating profit for 2025 is projected to be 1,099 million CNY, down from 1,185 million CNY in 2023 [4]. Market Position and Competitive Landscape - The company is focusing on AI products and robotics, with new offerings like the TPT model generating 1.54 million CNY in revenue and robotics contributing 1.22 million CNY as of Q3 2025 [9]. - The report highlights the importance of subscription models in building sustainable revenue streams and increasing customer loyalty [9].

Core Insights - Ningbo Junpu Intelligent Manufacturing Co., Ltd. has established a joint research laboratory with Zhiyuan Robotics, focusing on advancing industrial AI tools and algorithms [1][2] - The laboratory aims to transition AI from "perceptual intelligence" to "executive intelligence," creating a closed-loop ecosystem for the development and validation of tools [1] - The initiative addresses challenges in acquiring high-quality industrial private data by building a complete closed loop from scene setup to data collection, model training, and tool development [1] Group 1 - The joint laboratory will leverage the new generation wheeled robot G2 for continuous training and optimization in highly realistic simulated environments [1] - A physical data collection center is being established to gather critical data from real and simulated scenarios, ensuring that the tools and models developed are practical and continuously iterated [1] - The laboratory has already formed partnerships with industry players to promote the industrial application of AI vision models [1] Group 2 - The joint laboratory will strategically collaborate with the Ningbo Embodied Intelligent Robot Innovation Center, which serves as an open platform for industrial demands and data [2] - Tools and data platforms developed by the joint laboratory will be made accessible to customers and partners through the innovation center, enabling them to autonomously extract data and utilize models [2] - This collaboration aims to create a "technology-business dual closed loop" from technology development to commercial implementation, ensuring sustainable growth [2]

10月20日，在位于漯河市的河南金海新材料股份有限公司(简称"金海新材料公司")，工作人员正在安装 管道等设备，全力推进总投资300亿元、占地3000亩的千亿级氟硅新材料项目。 "金海千亿级氟硅新材料项目一期工程自2024年10月开工以来，进展顺利，目前已完成总工程量的 75%，预计12月底前建成。"金海新材料公司相关负责人介绍，该项目全部投产后，预计年销售收入将 突破1000亿元、年纳税100亿元，形成从卤水、萤石到终端产品的全产业链集群。 为提升项目科技含量，该公司成立氟硅新材料研究院，由中国科学院上海有机化学研究所研究员卿凤翎 院士担任院长。在合作方面，河南金海新材料股份有限公司聚焦创新合作、有机材料和终端应用三大领 域，前期已与中国科学院上海有机化学研究所合作建立研究院，共享实验室与专利池，助力合作伙伴突 破技术瓶颈。 "我们坚持'前瞻三十年'的规划设计理念，由西安华陆等行业头部设计单位高标准规划。同时，注重集 约化发展，亩均投资强度达1200万元，容积率达0.65。"金海新材料公司项目有关负责人表示，"在设备 方面，我们引进了德国西门子、日本旭化成等国际一流工艺设备，并与全球顶尖的智能化技术机构—— ...

Investment Rating - The report maintains a "Buy" rating for the company, with expected revenue growth and profitability improvements over the next few years [4]. Core Insights - The company achieved significant revenue and profit growth in the first three quarters of 2025, with revenue reaching 1.012 billion yuan, up 38.06% year-on-year, and net profit attributable to shareholders at 183 million yuan, up 38.43% year-on-year [1]. - The growth was primarily driven by the 3C and lithium battery sectors, with revenues from the 3C industry increasing by 40.56% and the lithium battery sector growing by 54.35% [2]. - The company continues to invest heavily in R&D, with quarterly R&D expenses reaching 71 million yuan, a 53.03% increase year-on-year, and total R&D investment for the first three quarters at 200 million yuan, accounting for 19.78% of revenue [3]. Summary by Sections Financial Performance - For Q3 2025, the company reported revenue of 330 million yuan, a year-on-year increase of 56.33%, and a net profit of 37 million yuan, up 97.21% year-on-year [1]. - The net cash flow from operating activities increased by 624.21% year-on-year, primarily due to a rise in customer payments [1]. Industry Dynamics - The recovery in downstream industries, particularly in 3C and lithium battery applications, has led to improved business structure and profitability for the company [2]. - The dual drivers of industry demand recovery and AI empowerment are expected to continue benefiting the company in high-end manufacturing sectors [2]. R&D and Competitive Advantage - The company maintains a high level of R&D investment, focusing on cutting-edge technologies such as industrial AI and 3D vision, which strengthens its competitive barriers [3]. - The stable and high proportion of R&D investment is anticipated to enhance the company's technological edge in smart manufacturing [3]. Profitability Forecast - Revenue projections for 2025-2027 are estimated at 1.200 billion yuan, 1.427 billion yuan, and 1.674 billion yuan, respectively, with net profits expected to be 208 million yuan, 260 million yuan, and 312 million yuan [4].

Core Viewpoint - The establishment of the "Junpu Intelligent - Zhiyuan Joint R&D Laboratory" aims to advance industrial AI from "perceptual intelligence" to "executive intelligence," focusing on developing a closed-loop ecosystem for toolchain development and scenario validation [1][5]. Group 1: Laboratory Objectives - The laboratory will focus on creating a universal underlying toolchain and algorithm platform for core industrial processes, addressing the complexities of basic actions like "grasping," "assembly," and "movement" [3]. - It aims to build a standardized toolchain that integrates software and hardware, facilitating rapid development and deployment of upper-layer applications [3]. Group 2: Data Acquisition and Model Training - The laboratory has established a complete closed-loop system for "scene building - data collection - model training - tool development" to tackle the challenge of acquiring high-quality industrial private data [3]. - Junpu Intelligent is actively building a physical data collection center to gather essential data for model training from real and simulated industrial environments [3]. Group 3: Strategic Collaboration - The collaboration between Zhiyuan Robotics and Junpu Intelligent combines Zhiyuan's expertise in AI large models with Junpu's 50 years of experience in intelligent manufacturing, creating a strategic synergy [5]. - The laboratory will focus on developing a universal toolchain for AI models, enabling quick training, adaptation, and deployment in new scenarios [5]. Group 4: Innovation and Flexibility - The laboratory's approach aims to overcome the limitations of traditional industrial automation, which has been constrained by insufficient flexible manufacturing capabilities and low hardware reuse rates [5]. - Future intelligent devices equipped with the laboratory's technological achievements will be able to adapt quickly to new tasks, significantly improving equipment utilization and reducing debugging cycles [5]. Group 5: Sustainable Development - The innovation center will serve as an open platform, continuously providing real industrial demands and data to the laboratory [5]. - The tools and data platforms developed by the laboratory will be made available to customers and partners, promoting self-extraction of data and model utilization, ultimately creating a sustainable closed-loop from technology development to commercial application [5].

助力企业沉淀专业知识 10月23日，2025中国国际石油化工大会工业AI论坛在浙江宁波举行。与会嘉宾从人工智能(AI)在工业特 别是石油化工领域应用的技术、政策、实战案例出发，讨论如何推动工业AI走向更深入、更广泛的应 用。专家认为，石化行业对AI有三大需求：一是数据沉淀与决策辅助，二是价值链重塑与优化，三是 安全监测与防护。 高风咨询公司合伙人、董事总经理介一凡认为，AI智能体的长处在于能力的固化。对石油化工领域而 言，它的强项在于能够将很多非结构化数据或老专家的专有知识、隐含知识总结提炼出来，实现能力的 固化、系统化、结构化。这种体系将帮助员工迅速获得岗位能力。 近年来，AI热潮席卷全球，大模型、智能体在数据分析领域展现出显著的技术突破与应用潜力。如何 利用大模型的超强分析能力赋能各行各业，成为论坛上的热门话题。 艾斯本技术北京有限公司大中华区总经理丁少杰在会上介绍了公司研发的AVA虚拟专家技术，即利用生 成式AI对自然语言的输入输出进行解读与推理，结合现场工程数据，实时指导工程师进行生产操作和 设备运维。 "我们怎么定义工业AI?所谓的工业AI是'两个结合'，即把AI和领域专业知识有效结合起来，把企业在 ...

Core Insights - Nvidia is actively collaborating with various companies to enhance its AI and computing capabilities, particularly in the telecommunications and automotive sectors [1][2][3] Group 1: Strategic Collaborations - Nvidia is partnering with Nokia to launch a new Aerial RAN computer, supporting 6G telecommunications and AI services, which promises more stable and efficient connections [1] - Nvidia and Oracle are set to create the largest AI supercomputer for the U.S. Department of Energy, utilizing a total of 110,000 Blackwell GPUs to accelerate scientific discoveries [2] - Nvidia is working with Uber to prepare for autonomous taxis, planning to deploy a fleet of 100,000 self-driving taxis starting in 2027 [2] Group 2: Industrial AI Developments - Nvidia is expanding its Omniverse platform to include technologies for designing and simulating digital twins of factories, which is crucial for the industrial AI era [3] Group 3: Competitive Landscape - The competition for government projects is intensifying, with AMD recently announcing a collaboration with the U.S. Department of Energy, while Nvidia is also making significant moves by deploying 110,000 Blackwell chips [4] - Nvidia is entering the autonomous taxi sector to gather real-world data, which is essential for refining its models despite having the strongest synthetic data capabilities [5]

Summary of Zhongkong Technology Conference Call Company Overview - **Company**: Zhongkong Technology - **Industry**: Industrial AI and Automation Key Points and Arguments Industry and Market Potential - The Chinese government aims for AI applications to reach a 70% penetration rate by 2027 and 90% by 2030, indicating significant market potential for AI technologies [6][19][23] - The global manufacturing market is projected to be reshaped by AI, with a potential value of $50 trillion, while China's process industry market could reach 60 trillion RMB [6] Financial Performance - In the first three quarters of 2025, Zhongkong Technology experienced a 10% decline in revenue and over 30% drop in profit, yet new AI initiatives are laying a foundation for future growth [3][4] Product Development and Orders - The TBT time series model and UCS universal control system have generated over 200 million RMB in orders and revenue each in the first three quarters [2][3] - The company has set a mid-term revenue target of 20 billion RMB for its AI business and 5 billion RMB for its robotics segment [5][21] Strategic Focus - Zhongkong Technology is focusing on developing an industrial AI operating system, leveraging its strong R&D capabilities and strategic positioning in the market [4][7] - The company plans to invest 20 billion RMB in industrial AI development, including infrastructure and data processing [18][24] AI Applications and Case Studies - AI has been successfully applied in various industrial settings, such as enhancing the efficiency of gasifiers in coal chemical processes, creating significant economic value [16][17] - The company has demonstrated the effectiveness of AI in autonomous factory operations, significantly reducing labor needs and improving safety and efficiency [13][30] Future Growth and Revenue Models - Zhongkong Technology anticipates a doubling of AI business revenue in the next few years, aiming for 20 billion RMB in five years [33] - The company is shifting towards a subscription-based revenue model, expecting it to contribute significantly to its core AI business [28][34] Challenges and Market Demand - The main challenge for the GPT product is the overwhelming demand compared to available support, prompting the company to build a team of industry experts to assist clients [25][26] - The company plans to extend the free usage phase of its AI services until the end of 2025 to gather more customer data and enhance support capabilities [38][39] Investment and Talent Acquisition - Zhongkong Technology is conducting a large-scale stock buyback to incentivize talent aligned with its strategic goals [20][21] - The company emphasizes the importance of attracting skilled professionals to drive its AI initiatives forward [20][44] Long-term Vision - The company aims to become a global leader in industrial AI, aspiring to create a trillion RMB market value [5][10][44] - Zhongkong Technology believes it possesses unique data resources that will be crucial for its future success in the industrial AI sector [14][19] Conclusion - Zhongkong Technology is strategically positioned to capitalize on the growing demand for industrial AI solutions, backed by government support and a robust product pipeline. The company is focused on innovation, market expansion, and leveraging its historical data resources to drive future growth and profitability [42][43][45]