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].

Core Viewpoint - The Sci-Tech Innovation Board (STAR Market) serves not only as a financing platform but also as an "accelerator" for innovation, significantly enhancing the technological autonomy and innovation capabilities of high-end equipment manufacturing companies in China [1]. Group 1: Industry Overview - The high-end equipment manufacturing industry is crucial for national strength, supporting the development of new productive forces and a modern industrial system [1]. - The STAR Market has attracted over 100 high-end equipment manufacturing enterprises, covering advanced manufacturing sectors such as industrial robots and automation control systems, and supporting key industries like rail transit and aviation [1]. - Since the release of the "Eight Measures for Deepening STAR Market Reform," there have been 20 disclosed industrial acquisitions in the high-end equipment manufacturing sector, indicating a trend towards consolidation and growth [1][6]. Group 2: Company Developments - Kede CNC has maintained growth in revenue and has successfully transitioned from single-point technological breakthroughs to a system advantage in new productive forces, with over 1,300 applications in aerospace and aviation [2]. - Zhongkong Technology has evolved from a control system company to an industrial AI platform, enhancing its core technologies and establishing a complete AI ecosystem since its listing on the STAR Market [3]. - Nanfang Technology has led innovations in smart grid equipment and has been recognized for its contributions to the energy sector, including the establishment of a national manufacturing innovation center [4]. Group 3: Strategic Initiatives - The STAR Market has enabled companies to leverage capital market tools for strategic investments and mergers, enhancing their technological capabilities and market positions [6]. - Zhongkong Technology's acquisition of Hobré International's core assets exemplifies how companies are using the STAR Market to strengthen their technology chains and enhance their competitive edge in high-end process analysis instruments [6]. - Nearly 70% of high-end equipment manufacturing companies on the STAR Market are participating in initiatives aimed at improving quality and returns, reflecting a commitment to high-quality development [7].

Group 1: Global AI Outlook - The report highlights a new paradigm in AI development characterized by new scaling, new architecture, and new total addressable market (TAM) opportunities [1] - The demand for computing power is expected to rise due to advancements in both training and inference processes, potentially unlocking new TAMs [1][3] - The report maintains a positive outlook on AI industry investments, anticipating that global AI applications will enter a performance harvesting phase [1] Group 2: Model Development - The pre-training scaling law is anticipated to open a new starting point for model development, with significant innovations in architecture being explored [2][23] - The report notes that the classic transformer architecture has reached a parameter scale bottleneck, with existing public data nearly exhausted [2][20] - Major tech companies are experimenting with new architectures, such as Tencent's Hunyuan TurboS and Google's Gemini Diffusion, which may accelerate scaling law advancements [23][24] Group 3: Computing Power Demand - The report identifies a clear long-term upward trend in computing power demand, driven by both training and inference needs [3][32] - New scaling paths are emerging in the post-training phase, with ongoing exploration of new architectures that may reignite pre-training demand narratives [3][33] - The deployment of large-scale computing clusters, such as OpenAI's StarGate, is expected to support the exploration of pre-training [38] Group 4: Application Development - The report indicates that the rapid advancement of agent applications is leading to a performance harvesting phase for global AI applications [4][67] - The commercialization of agent products is accelerating, with domestic AI applications quickly iterating and entering the market [4][67] - The report emphasizes that agent applications are evolving from simple tools to complex solutions, with significant growth expected in various sectors [5][68] Group 5: Business Model Transformation - The shift from traditional software delivery to outcome-based delivery is highlighted as a key trend, with quantifiable ROI accelerating the adoption of agent applications [5] - Specific sectors such as consumer-facing scenarios (advertising, e-commerce) and AI in marketing/sales are expected to lead in commercialization due to their inherent advantages [5][67] - The report notes that AI applications in HR are transitioning from efficiency tools to strategic hubs, indicating a broader transformation in business models [5][67]

证券代码：688777 证券简称：中控技术 公告编号：2025-018 中控技术股份有限公司关于自愿披露 特此公告。 本公司董事会及全体董事保证公告内容不存在任何虚假记载、误导性陈述或者重大遗漏，并对其内容的 真实性、准确性和完整性依法承担法律责任。 中控技术股份有限公司董事会 根据《国家知识产权局关于第二十五届中国专利奖授奖的决定》（国知发运字〔2025〕20号），中控技 术股份有限公司（以下简称"公司"或"中控技术"）自主研发的《一种适用于流程工业预测控制的模型自 主学习方法》（专利号：ZL 2022 1 0861856.2）荣获"中国专利奖优秀奖"。 2025年6月9日 中国专利奖由国家知识产权局与世界知识产权组织共同评选，旨在引导和推进知识产权工作对创新型国 家建设，以及促进经济发展方式转变发挥重要作用；鼓励和表彰专利权人和发明人（设计人）对技术 （设计）创新及经济社会发展做出的突出贡献。根据《中国专利奖评奖办法》规定，经国务院有关部门 知识产权工作管理机构、地方知识产权局、有关全国性行业协会，以及中国科学院院士和中国工程院院 士等推荐，中国专利奖评审委员会评审，并向社会公示，第二十五届中国专利奖共授 ...

本公司董事会及全体董事保证公告内容不存在任何虚假记载、误导性陈述或者 重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 根据《国家知识产权局关于第二十五届中国专利奖授奖的决定》（国知发运字 〔2025〕20 号），中控技术股份有限公司（以下简称"公司"或"中控技术"） 自主研发的《一种适用于流程工业预测控制的模型自主学习方法》（专利号：ZL 2022 1 0861856.2）荣获"中国专利奖优秀奖"。 证券代码：688777 证券简称：中控技术 公告编号：2025-018 中控技术股份有限公司关于自愿披露 获得第二十五届中国专利优秀奖的公告 公司作为中国流程工业自动化、数字化及智能化的创新者，高度重视知识产权 积累和保护，积极围绕行业关键核心技术突破，科学合理配置创新资源，大力构筑 行业知识产权优势，努力攀登行业技术创新高峰。截至 2024 年 12 月 31 日，公司 已获授专利 745 项，其中发明专利 575 项、实用新型专利 135 项、外观设计专利 35 项，计算机软件著作权 731 项。公司于 2017 年被评定为"国家知识产权示范企 业"，2022 年按照《国家知识产权局办公室关于 ...

Group 1 - The core viewpoint of the report indicates that Zhongkong Technology leads the industrial internet information security market in the petrochemical, chemical, and oil & gas sectors with a year-on-year growth rate of 21.1% [1] - Zhongkong Technology has successfully implemented and accepted over 7,000 industrial information security projects, serving notable clients such as Sinopec, PetroChina, and BASF, thereby enhancing security capabilities for various industrial enterprises [1] - The overall market size for industrial internet information security in China is projected to reach 4.27 billion yuan in 2024, with key industries like electricity, chemicals, and oil & gas accounting for nearly 80% of the market share [1] Group 2 - In the petrochemical, chemical, and oil & gas sectors, Zhongkong Technology's "1+1+2" three-tier operational system has achieved significant performance breakthroughs, leading the market with a 17.2% share [2] - The "1+1+2" operational system consists of one group-level security operation center, one factory-level security warning center, and two device-level security management centers, effectively addressing information security challenges during the integration of IT and OT [2] - Zhongkong Technology aims to provide comprehensive network security services throughout the entire lifecycle, enhancing protection against cyberattacks and ensuring the security of critical data and industrial operations [2]

Core Insights - The Chinese programmable logic controller (PLC) market is projected to reach 17.66 billion yuan in 2024, reflecting a year-on-year growth of 14.45% [1][11] - The demand structure indicates a divergence in the market, with traditional industries experiencing weakness while emerging sectors show significant growth [1][11] - Key sectors driving demand include traditional heavy industries like automotive, power, metallurgy, and transportation, alongside emerging fields such as renewable energy and lithium battery production [1][11] Industry Overview - PLCs are digital electronic systems designed for industrial environments, capable of executing various control tasks through programmable memory [1][4] - The PLC industry has evolved through four main stages: initial development, application introduction, domestic production growth, and deep localization [4][5][6] Industry Development History - The initial development phase began in the mid-1970s, with the first PLCs being developed and applied in China [4] - The 1990s saw a heavy reliance on imported PLCs, with domestic production lagging due to high costs and long return periods [5] - The early 2000s marked a surge in demand driven by manufacturing growth, leading to the entry of domestic players into the PLC market [5] - Recent years have seen a focus on self-sufficiency and the development of core technologies in response to international pressures [6] Industry Supply Chain - The upstream supply chain includes essential components such as chips, electronic components, and integrated circuits, with chips being the core part affecting PLC performance [8] - The downstream applications span various industries, including power, metallurgy, chemicals, and transportation [9] Current Industry Status - The PLC market is experiencing strong growth, driven by industrial automation needs, with a projected market size of 17.66 billion yuan in 2024 [11] - Demand is increasing in traditional sectors while emerging industries like semiconductor manufacturing and industrial robotics are also contributing to market growth [11][13] Key Companies - Major foreign brands like Siemens, Mitsubishi, and Omron dominate the high-end market, while domestic brands are gaining traction in the small PLC segment [15] - Companies such as Inovance Technology and Zhong控 Technology are notable players, focusing on innovation and market penetration [16][18] Industry Trends - The PLC market is expected to continue growing, driven by demand in sectors like renewable energy and smart grids [20] - Technological advancements will lead to smarter, more integrated PLC systems capable of real-time optimization and enhanced compatibility with other devices [21][22] - The application of PLCs is expanding into new areas such as smart transportation and environmental management, reflecting changing market needs [23]

Group 1 - The core viewpoint of the article highlights the strategic transformation of Zhongkong Technology towards industrial AI, which is seen as a necessary response to industry demands and trends [1] - The company faces challenges in balancing production efficiency and energy consumption in traditional process industries, which drives technological innovation [1] - Zhongkong Technology's TPT temporal model utilizes industrial AI technology and can be applied across various industrial scenarios, creating a significant technological moat [1] Group 2 - The Chinese government has introduced multiple policies to promote equipment upgrades and the intelligent transformation of the manufacturing sector, with industries such as oil, chemicals, and steel expected to complete equipment upgrades by 2027 [1] - The company anticipates a compound annual growth rate of approximately 2.3% in China's industrial automation market from 2025 to 2027, as it accelerates its transition to an industrial AI company [1] - The TPT model has already been implemented in several facilities, resulting in production efficiency improvements of 1% to 3%, with plans for comprehensive integration and upgrades of industrial AI products in the next 2-3 years [1]

Core Insights - The company aims to become a global leader in industrial AI, emphasizing the use of AI to promote sustainable industrial development [1] - The chairman indicated that 2025 will be a critical period for strategic transition, with increased R&D investment in AI leading to short-term performance pressure but potential for explosive growth in technology conversion [1][3] - The company has developed the TPT model, achieving significant application breakthroughs in various industrial scenarios, enhancing system self-control rates and reducing emissions and energy consumption [2][4] Group 1 - The company has a unique advantage in the industrial AI era, as industrial control systems serve as the hardware foundation for AI implementation [2] - The company has accumulated over 100EB of industrial data across 100,000 control systems, making it a leader in real-time industrial data [2] - The company has committed to reducing carbon emissions by nearly 2 billion tons over the past decade, showcasing its focus on sustainability [3] Group 2 - The company is actively transitioning to an industrial AI company, exploring opportunities in the industrial AI sector and integrating its product offerings [3][4] - The company has established a leading "1+2+N" AI-driven enterprise operation technology architecture, focusing on core capabilities of "AI + Data" [4] - The company is investing in humanoid robotics, aiming to integrate these technologies into the manufacturing sector to enhance safety, quality, and efficiency [4]

Group 1: Robotics Development and Innovations - Singapore's Ministry of Home Affairs will deploy humanoid robots by mid-2027, focusing on high-risk tasks such as firefighting and search and rescue, with AI-driven operations expected by 2029 [1] - Jinfu Technology's subsidiary, Maizhi Technology, has established collaborations with leading robotics companies in industrial design and production, defining three business directions: robot detection, complete line OEM, and secondary development of robotic products [2][3] - Qiteng Robotics showcased its advanced explosive-proof quadruped and wheeled robots at the Western China International Investment and Trade Fair, highlighting its third-generation quadruped robot's capabilities in navigating complex terrains [4][6] Group 2: New Company Launches and Investments - Shenzhen Aibo Robotics officially launched, focusing on the research and development of cleaning robots and aiming to provide customized solutions leveraging the Greater Bay Area's technological resources [7][9] - Zhongkong Technology has invested in a humanoid robotics company and introduced a process industrial robot solution, integrating AI and robotics to enhance operational capabilities, with international clients including Saudi Aramco and Mitsubishi [10][12]