根据《上市公司独立董事管理办法》《上海证券交易所科创板上市公司自律监管 指引第 1 号——规范运作》等要求，中控技术股份有限公司（以下简称"公司"）董 事会，就公司 2024 年度在任独立董事沈海强、许超、陈文强、陈欣（离任）的独立 性情况进行评估并出具如下专项意见： 中控技术股份有限公司董事会 关于独立董事独立性情况的专项意见 中控技术股份有限公司董事会 2025 年 3 月 29 日 经核查独立董事沈海强、许超、陈文强、陈欣（离任）及其直系亲属和主要社会 关系人员的任职经历以及独立董事签署的相关自查文件，独立董事沈海强、许超、陈 文强、陈欣（离任）不存在《上市公司独立董事管理办法》第六条不得担任独立董事 的情形，在担任公司独立董事期间，独立董事已严格遵守中国证监会和上海证券交易 所的相关规定，确保有足够的时间和精力勤勉尽责地履行职责，作出独立判断，不受 公司主要股东、实际控制人或其他与公司存在利害关系的单位或个人的影响。公司独 立董事沈海强、许超、陈文强、陈欣（离任）符合《上市公司独立董事管理办法》 《上海证券交易所科创板上市公司自律监管指引第 1 号——规范运作》中对独立董事 独立性的相关要求。 ...

一、募集资金年度存放与使用情况鉴证报告………………………第 1—2 页 二、关于募集资金年度存放与使用情况的专项报告…………… 第 3—10 页 募集资金年度存放与使用情况鉴证报告 天健审〔2025〕2798 号 中控技术股份有限公司全体股东： 我们鉴证了后附的中控技术股份有限公司（以下简称中控技术）管理层编制 的 2024 年度《关于募集资金年度存放与使用情况的专项报告》。 一、对报告使用者和使用目的的限定 目 录 本鉴证报告仅供中控技术年度报告披露时使用，不得用作任何其他目的。我 们同意将本鉴证报告作为中控技术年度报告的必备文件，随同其他文件一起报送 并对外披露。 二、管理层的责任 中控技术管理层的责任是提供真实、合法、完整的相关资料，按照《上市公 司监管指引第 2 号——上市公司募集资金管理和使用的监管要求（2022 年修订）》 （证监会公告〔2022〕15 号）和《上海证券交易所科创板上市公司自律监管指 引第 1 号——规范运作（2023 年 12 月修订）》（上证发〔2023〕194 号）的规 定编制《关于募集资金年度存放与使用情况的专项报告》，并保证其内容真实、 准确、完整，不存在虚假记载、误导性 ...

关于召开 2024 年年度股东大会的通知 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。 重要内容提示： 一、 召开会议的基本情况 证券代码：688777 证券简称：中控技术 公告编号：2025-014 中控技术股份有限公司 （一） 股东大会类型和届次 2024 年年度股东大会 召开日期时间：2025 年 4 月 22 日 14 点 00 分 召开地点：浙江省杭州市滨江区六和路 309 号中控科技园公司会议室 （五） 网络投票的系统、起止日期和投票时间。 网络投票系统：上海证券交易所股东大会网络投票系统 网络投票起止时间：自 2025 年 4 月 22 日 至 2025 年 4 月 22 日 采用上海证券交易所网络投票系统，通过交易系统投票平台的投票时间为股 1 股东大会召开日期：2025年4月22日 本次股东大会采用的网络投票系统：上海证券交易所股东大会网络投票 系统 （二） 股东大会召集人：董事会 （三） 投票方式：本次股东大会所采用的表决方式是现场投票和网络投票相结 合的方式 （四） 现场会议召开的日期、时间和地点 东 ...

证券代码：688777 证券简称：中控技术 公告编号：2025-013 中控技术股份有限公司 第六届监事会第十次会议决议公告 本公司监事会及全体监事保证本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。 一、监事会会议召开情况 中控技术股份有限公司（以下简称"公司"）第六届监事会第十次会议于 2025 年 3 月 29 日（星期六）以通讯的方式召开。会议通知已于 2025 年 3 月 18 日以邮件的方式送达各位监事。本次会议应出席监事 3人，实际出席监事 3人。 本次会议由监事会主席梁翘楚先生主持。会议召开符合有关法律、法规、 规章和《公司章程》的规定。出席会议的监事对各项议案进行了认真审议并做 出了如下决议： 二、监事会会议审议情况 （一）审议通过《关于 2024 年度监事会工作报告的议案》 报告期内，监事会依照《公司法》《证券法》等法律、法规及《公司章程》 和《监事会议事规则》等公司制度的要求，认真履行监督职责，积极维护全体 股东及公司的利益。对公司在生产经营、财务运作等方面的重大决策事项、重 要经济活动等都积极参与了审核，并提出意见和建议，对公 ...

中控技术股份有限公司 独立董事：沈海强、许超、陈文强 2025 年 3 月 29 日 1 中控技术股份有限公司（以下简称"公司"）第六届董事会独立董事第七次 专门会议于 2025 年 3 月 29 日以现场结合通讯的方式召开。会议通知已于 2025 年 3 月 26 日通过邮件的方式送达各位独立董事。本次会议应出席独立董事 3 人， 实际出席独立董事 3 人，本次会议由过半数独立董事推选的独立董事沈海强先生 主持，会议的召集、召开和表决程序符合《公司章程》《独立董事工作制度》《独 立董事专门会议议事规则》等规定。本次会议审议并通过了如下议案： 一、审议通过了《关于预计 2025 年度日常性关联交易额度的议案》 独立董事认为：经核查，公司关于预计 2025 年度日常性关联交易额度的议 案符合公司经营发展需要，系正常市场行为，符合公司的经营发展需要，遵循了 公平、公正、自愿、诚信的原则，符合相关法律、法规和规范性文件的规定，交 易价格按照市场价格结算，该类交易对公司独立性无影响，不会对公司及公司财 务状况、经营成果产生不利影响，不存在损害公司或股东利益，特别是中小股东 利益的情形。 因此，我们一致同意《关于预计 ...

证券代码：688777 证券简称：中控技术 公告编号：2025-005 中控技术股份有限公司 关于 2024 年度利润分配方案的公告 本公司董事会及全体董事保证本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。 重要内容提示： 每股分配比例：每 10 股派发现金红利 7.10 元（含税)。 本次利润分配以实施权益分派股权登记日登记的总股本扣减公司回购专 用证券账户中的股份为基数，具体日期将在权益分派实施公告中明确。 在实施权益分派的股权登记日前公司总股本发生变动的，公司拟维持每 股现金分红金额不变，相应调整现金分红总额，并将另行公告具体调整情况。 公司拟向全体股东每 10 股派发现金红利 7.10 元（含税)。截至报告披露日， 公司总股本扣减公司回购专用证券账户中的股份后为 785,715,016 股，以此计算 合计拟派发现金红利 557,857,661.36 元（含税），占 2024 年度归属于上市公司 股东净利润的 49.94%。本年度以现金为对价，采用集中竞价方式已实施的股份 回购金额 110,858,053.49 元，现金分红和回购金额合计 6 ...

Core Insights - The company, Zhongkong Technology, has achieved significant financial milestones in 2024, with operating revenue reaching 9.139 billion yuan and a net profit of 1.038 billion yuan, marking a 20.26% year-on-year growth in net profit after excluding GDR currency exchange losses [1] - Zhongkong Technology has introduced groundbreaking products, including the Universal Control System (UCS) and the Industrial AI Time Series Model (TPT), which are pivotal in establishing a comprehensive industrial intelligence architecture [2][3] - The company has achieved a domestic market share of 40.4% in Distributed Control Systems (DCS), with notable leadership in the chemical and petrochemical sectors [4] Financial Performance - In 2024, Zhongkong Technology's revenue reached 9.139 billion yuan, with a net profit of 1.038 billion yuan, and a 20.26% increase in net profit after adjustments [1] - The company's industrial software revenue grew by 20.70% to 2.653 billion yuan, while new orders in the robotics sector amounted to 167 million yuan [4] Product Innovation - The UCS and TPT models represent a significant technological advancement, with UCS being described as the largest innovation in control systems in 50 years, achieving a 90% reduction in cabinet space and an 80% decrease in cable costs [3] - TPT has demonstrated a reduction in steam coal consumption by over 3.1%, leading to efficiency improvements exceeding 50% for clients [3] Market Position - Zhongkong Technology maintains a leading position in the domestic market, with a DCS market share of 40.4%, and holds the top position in various sectors including chemicals and building materials [4] - The company has successfully secured major projects, enhancing its market presence and driving domestic automation [4] Global Expansion - The company has established a global presence in 50 countries, with overseas revenue reaching 749 million yuan, a growth of over 118% year-on-year [5] - Significant contracts have been signed internationally, including projects in Saudi Arabia and Sweden, showcasing the company's competitive edge in global markets [5] Research and Development - In 2024, Zhongkong Technology invested 978 million yuan in R&D, a 7.73% increase, with R&D personnel constituting 39.05% of the workforce [3] - The company has filed 346 new patents, reflecting its commitment to innovation and technological advancement [3] Strategic Outlook - Analysts suggest that Zhongkong Technology's strong technical capabilities and strategic vision position it well for future growth, particularly in the realms of industrial AI and new market exploration [6] - The company is expected to redefine China's manufacturing competitiveness on a global scale through its innovative solutions and extensive industry knowledge [6]

Investment Rating - The report indicates a shift from strong beta to strong alpha in the computer industry, suggesting a focus on sectors with significant growth potential such as AI applications, cloud computing, and domestic innovation [4][6][7]. Core Insights - The report emphasizes the importance of AGI (Artificial General Intelligence) expectations, highlighting that the release of Manus has intensified market interest in AGI, which could lead to a significant evolution in technology companies and AI applications [7][8]. - The RISC-V open-source ecosystem is rapidly developing, with a projected compound annual growth rate (CAGR) of over 40% for RISC-V based SoCs, expected to reach 20 billion units by 2024 and over 200 billion by 2031 [9][11]. - The report suggests focusing on companies within the RISC-V ecosystem and those involved in AI, cloud computing, and domestic innovation, such as Haiguang Information, Keda Information, and others [8][19]. Summary by Sections Industry Overview - The computer industry index rose by 6.46% from March 2 to March 8, outperforming the ChiNext index by 4.85 percentage points [21][22]. - The report notes that the current momentum in the computer industry is comparable to the upward trend observed from 2018 to 2020, but with stronger potential this time [4][6]. RISC-V Ecosystem - RISC-V architecture is rapidly evolving, characterized by its modularity and open-source nature, which allows for high scalability and low energy consumption [11][12]. - The domestic RISC-V ecosystem is thriving, with major companies like Alibaba and Huawei actively participating, and the RISC-V International Foundation has over 4000 members from 52 countries [9][14]. - Investment recommendations include companies like Haiguang Information, Cambrian, and Loongson Technology, which are positioned to benefit from the increasing penetration of domestic software and hardware [19][20]. Market Performance - The report highlights that the computer industry has shown strong performance, with significant weekly gains and a notable increase in trading volume [21][22]. - Specific stocks such as Xinkai Pu and Hengfeng Information have seen substantial weekly increases, indicating strong market interest [23]. Major News - The report covers significant developments in AI, including the launch of the QwQ-32B model by Alibaba, which demonstrates competitive performance with significantly fewer parameters compared to existing models [36]. - The report also notes the increasing deployment of AI technologies in the financial sector, with multiple institutions adopting the DeepSeek model for various applications [44].

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].

Investment Rating - The report does not explicitly provide an investment rating for the software development industry or the specific company being analyzed. Core Insights - The report highlights the strategic transformation of the company into an industrial AI leader, emphasizing the importance of AI in driving the next industrial revolution and enhancing operational efficiency and sustainability in process industries [18][19]. - The company has launched the "ALLinAI" strategy to integrate AI deeply into industrial production and management, aiming to transition from a traditional automation supplier to an industrial AI ecosystem builder [18]. - The introduction of the TPT (Time-series Pre-trained Transformer) model marks a significant advancement in the company's AI capabilities, with successful applications in various industrial sectors [19][20]. - The company is also focusing on robotics as a new growth curve, having invested in humanoid robotics and developed several models that leverage AI for enhanced operational capabilities [21]. - The PlantMembership subscription model is introduced to strengthen customer relationships and provide a sustainable revenue structure, addressing challenges in traditional software procurement [22]. Summary by Sections 1. Research Overview - The research focuses on the software development industry, specifically on the company Zhongkong Technology, which is transitioning towards industrial AI [13]. 2. Participating Institutions - Notable institutions involved in the research include Morgan Stanley, Goldman Sachs, Capital Group, and others, indicating a strong interest from major financial entities [14]. 3. Key Content - The company is leveraging its extensive industry experience to integrate AI into its operations, aiming for a significant impact on production efficiency and carbon emissions [18]. - The TPT model is set to enhance real-time data analysis and decision-making processes in industrial settings, marking a shift towards data-driven operations [20]. - The company is actively developing humanoid robots and AI-driven solutions for various industrial applications, showcasing its commitment to innovation in robotics [21]. - The subscription model aims to provide flexible, ongoing support to clients, enhancing customer retention and creating predictable revenue streams [22]. - The rise of domestic AI models like DeepSeek is expected to revolutionize the industrial software landscape, leading to new development and operational paradigms [23][24].