活动现场，西门子长三角人工智能共创实验室2.0启动，聚焦IT/OT融合、工业基础模型、"AI+数字 孪生"及人才发展四大方向。未来，依托苏州制造业集群优势，该实验室将加速推动"妙一空间"的产业 化应用。通过构建连接虚实空间的工业级数字孪生映射，联合生态伙伴共同探索更多落地场景，打造面 向未来的工业协同新范式。 昨天（6月12日），西门子在苏州高新区举办首届"科技与人才日"活动。活动现场，面向工业场景 的"妙一空间"全球首次亮相，西门子长三角人工智能共创实验室2.0正式启动。 据介绍，此次亮相的"妙一空间"可构建逼真的工业数字孪生场景，依托轻量化技术框架，打破物理 空间限制，实现三维协作、高效同行。该功能可无缝集成到西门子云原生IT/OT集成开发工具包工易魔 方，用户可通过工易魔方灵活定义工作流程，自由搭建与实时验证复杂工业场景，真正实现自由编程、 即刻执行。同时，平台支持人工智能算法在虚拟空间的快速验证与部署，实现全流程零风险测试与高效 落地，为工业企业带来更安全高效的创新环境。通过技术赋能，用户能在"妙一空间"与人工智能协同探 索与试验，从创意构想到验证落地的全过程中释放更多人本智慧与创造力。 当天，"AI ...

证监会网上办事服务平台信息显示，济南奥图自动化股份有限公司（下称"奥图股份"）IPO辅导状态已 变更为"辅导工作完成"。若一切顺利，奥图股份将递交材料冲刺北交所上市。 据相关公告，奥图股份2023年10月12日与中泰证券签署了辅导协议，截至2025年6月中泰证券共对其进 行了六期辅导工作，中泰证券认为奥图股份具备成为上市公司应有的公司治理结构、会计基础工作、内 部控制制度，充分了解多层次资本市场各板块的特点和属性。 公开资料显示，奥图股份成立于2007年6月，注册资本7591.23万元，于2015年10月在新三板挂牌。企业 专注于"工业机器人成套装备及生产线"的系统集成，致力于为制造行业提供全面优质的自动化集成服 务。奥图股份与行业里的著名厂商建立了密切的战略合作关系，其中不乏本特勒、舒勒、合锻智能、天 锻等国内外知名厂家。同时，也为多家优质车企提供服务，如比亚迪、长安汽车、吉利汽车、奇瑞汽 车、Stellantis集团、福特汽车。 年报显示，奥图股份2024年实现营业收入3.98亿元，同比微降0.48%；毛利率为33.88%，增长超过5个百 分点；归母净利润7022.84万元，同比增长39.49%。比亚迪股 ...

Group 1: Company Overview - The company operates two main business segments: automation and intelligence, and digitalization, which includes industrial internet, industrial software, and industrial AI software [2][4] - The product architecture consists of intelligent measurement and control devices, control systems, and industrial software, forming a complete product chain for various industries [4] Group 2: Market and Product Performance - The main products are Distributed Control Systems (DCS) and medium to large PLCs, primarily serving the energy, power, and chemical industries [5] - The DCS product line has seen rapid growth, with a market penetration rate of 43% for domestic DCS systems in the thermal power sector as of last year [5][6] - The potential market for PLCs in the steel industry is estimated at approximately 70 billion [5] Group 3: Industry Segmentation and Growth - The energy and power sector accounted for over 70% of the company's business last year, while the chemical sector contributed 16% [6][7] - The chemical sector experienced a decline in performance due to reduced industry capacity and lower market demand [7] - The steel sector has begun to see orders for PLCs, indicating a promising growth outlook [7] Group 4: Business Strategy and Future Plans - The company focuses on industrial automation, intelligence, and digitalization, with a growth strategy driven by domestic substitution policies [8][11] - Future market opportunities include the steel, cement, and water industries, with estimated market sizes of 70 billion, 8 billion, and 20 billion respectively [11] - The company aims to leverage its unique advantages in policy-driven domestic substitution and technological cost reduction to capture market share [11]

Core Insights - Suzhou's manufacturing industry contributes over 40% to its GDP, with 160,000 industrial enterprises across various sectors, highlighting its critical role in the global supply chain [1] - Companies in Suzhou are focusing on key technological breakthroughs, software ecosystem collaboration, and deep applications of intelligence to enhance the resilience of industrial supply chains [1][2] Group 1: Technological Advancements - Huichuan Technology emphasizes the importance of independent research and development, achieving a 97% self-sufficiency rate in key components [2] - Hengtong Group has developed a complete optical communication industry chain, having created China's first optical fiber preform, previously dominated by foreign entities [2][3] - Hengtong is expanding into new areas such as marine information technology and smart sensing, contributing to global information connectivity [3] Group 2: Software Development - Huichuan Technology launched China's first integrated industrial automation software platform (iFA) in February 2023, aiming to compete with international industrial giants [4] - Companies like Tongyuan Soft Control and Haocen Software are advancing industrial software capabilities, focusing on multi-terminal applications and cloud services to support digital transformation [5][6] Group 3: Smart Manufacturing - Smart transformation is essential for high-quality development in manufacturing, as demonstrated by SANY Heavy Industry's intelligent factory achieving over 81% automation in various processes [7] - Hengtong Fiber has implemented smart manufacturing practices, resulting in a 66% efficiency increase and significant reductions in manufacturing costs and defect rates [7] Group 4: Industrial Strategy - Suzhou's industrial strategy includes the parallel development of traditional, emerging, and future industries, leveraging its strong industrial foundation to foster growth in sectors like electronic information and biomedicine [8] - The goal is to build a modern industrial system with world-class competitiveness, positioning Suzhou as a leading "smart manufacturing city" [8]

Core Viewpoint - The company plans to establish a joint venture named "Luoyang Saimo Kechuang Co., Ltd." with its controlling shareholder and a private equity fund, aiming to enhance its core competitiveness in intelligent manufacturing through collaboration in automation product development and technology transfer [1][6]. Group 1: Investment Overview - The registered capital of the joint venture is set at 50 million RMB, with the company contributing 25 million RMB, representing 50% of the total capital [1]. - The joint venture will be included in the company's consolidated financial statements upon establishment [1]. Group 2: Related Party Transactions - The investment constitutes a related party transaction as it involves the company's controlling shareholder, Luoyang Kechuang Group, which is a wholly-owned subsidiary of Luoyang Guohong Investment Holding Group [2]. - The transaction has been approved by the board of directors, with related directors abstaining from voting, and does not require shareholder approval [2][7]. Group 3: Joint Venture Details - The joint venture will focus on research and development in the field of industrial automation products and technology cooperation with local research institutes [1][6]. - The governance structure includes a shareholders' meeting and a board of directors, with the company appointing three members and the controlling shareholder appointing two [5]. Group 4: Financial and Operational Impact - The investment aligns with the company's long-term strategic goals, promoting automation and intelligent development, and is expected to enhance sustainable operational capabilities and market competitiveness [6]. - The company will monitor the establishment and operation of the joint venture closely and fulfill its information disclosure obligations [6].

Core Viewpoint - The company plans to establish a joint venture named "Luoyang Saimo Science and Technology Co., Ltd." with a registered capital of 50 million yuan, aiming to enhance its competitiveness in the smart manufacturing sector through collaboration in automation product development and technology transfer [1] Investment Details - The registered capital of the joint venture is 50 million yuan, with the company contributing 25 million yuan (50%), Luoyang Science and Technology Group contributing 24.5 million yuan (49%), and Hangtou Fund contributing 500,000 yuan (1%) [1] - This investment constitutes a related party transaction but does not qualify as a major asset restructuring and is within the decision-making authority of the company's board of directors, thus not requiring shareholder approval [1] Strategic Goals - The joint venture will collaborate with local research institutes in Luoyang to focus on the research and development of automation products in the industrial sector [1] - The initiative aims to improve the conversion rate of scientific and technological achievements and accelerate the transformation and upgrading of traditional manufacturing [1]

2005年，丹麦外交部、工商界共同建立丹中商业协会，以加强两国企业界的交流与理解，促进丹麦和中 国的商贸合作。20年来，丹中商业协会持续组织高层商务互访和商业研讨活动，为两国商界提供政策简 报和市场分析。"我们为两国企业搭建可信赖的交流平台，就如何以最佳方式进入对方市场并确保相关 法规和条例得到遵守交换意见和经验。"蓬托皮丹介绍。 谈到中国不断扩大高水平对外开放，蓬托皮丹认为丹麦企业将从中受益："丹中两国都主张加强全球贸 易，丹麦对贸易的依赖程度很高。高水平对外开放的中国为我们带来更多发展机遇。" 20世纪80年代末，蓬托皮丹第一次前往北京。从1989年2月到1993年底，蓬托皮丹负责一家丹麦商业银 行在中国的业务，见证了中国经济的快速发展。"特别是在过去20年里，丹麦和中国之间的贸易量激 增。两国在这一时期的贸易量，占自1950年两国建交以来贸易总额的95%。仅从2020年到2024年，丹麦 在中国的净投资总额接近130亿丹麦克朗（约合143亿元人民币）。"蓬托皮丹说。 红色陶瓦斜屋顶、白色外墙、阁楼上精致的老虎窗，这栋典型的斯堪的纳维亚风格建筑，是丹麦中国商 业协会（以下简称"丹中商业协会"）在哥本哈根的 ...

公司治理结构也会对金融企业的发展产生重要影响。良好的公司治理能确保企业决策的科学性和透明 度，保护股东和其他利益相关者的权益。这包括合理的股权结构、有效的董事会监督机制等。 在投资决策或行业研究中，准确评估金融相关企业至关重要。这不仅能帮助投资者识别潜在的投资机 会，也有助于企业自身了解在市场中的位置和竞争力。评估金融相关企业可以从多个维度进行。 财务状况是评估金融企业的核心要素之一。这包括分析企业的资产负债表、利润表和现金流量表。资产 质量反映了企业的风险承受能力，如银行的不良贷款率、保险公司的投资资产质量等。盈利性指标，如 净资产收益率（ROE）、净利润增长率等，能体现企业的盈利能力和成长潜力。现金流状况则关乎企业 的资金流动性和偿债能力。 风险管理能力也是关键因素。金融行业面临着信用风险、市场风险、操作风险等多种风险。有效的风险 管理体系能帮助企业识别、评估和控制这些风险。例如，银行通过建立严格的信贷审批流程和风险预警 机制来管理信用风险；保险公司通过合理的再保险安排来分散风险。 市场竞争力同样不可忽视。这涉及企业的市场份额、品牌影响力、客户基础等方面。具有较高市场份额 的企业往往在定价权、成本控制等方 ...

Core Insights - The 2025 Hannover Messe showcased the ongoing transformation in the industrial sector driven by artificial intelligence, particularly generative AI, although no groundbreaking technologies were introduced [1] - The report by IoT Analytics highlighted that generative AI has become an integral part of industrial software, moving beyond being a buzzword to a common feature in major industrial software products [3][4] - Agentic AI is emerging as the next significant trend in the industry, although it remains in its early stages of development [7][9] Trend Summaries Trend 1: Generative AI Fully Integrated into Industrial Software - Generative AI has transitioned from a focus on coding to being embedded across industrial software, with major software vendors showcasing integrated functionalities [3] - Leading companies like Siemens and ABB have developed various industrial assistants that leverage generative AI for tasks such as design, planning, and operational support [4][6] Trend 2: Emergence of Agentic AI - Agentic AI is viewed as a significant future opportunity, with many vendors promoting its capabilities, although practical applications are still limited [7][9] - Companies are exploring multi-agent frameworks, but these remain in early exploratory phases without substantial real-world validation [8] Trend 3: Significant Innovations in Edge Computing - Edge computing is evolving to integrate AI technology stacks, enhancing local processing capabilities and responsiveness [10] - Companies like Bosch Rexroth are demonstrating platforms that support AI model deployment at the edge, optimizing for specific industrial scenarios [10][11] Trend 4: Growing Demand for DataOps Platforms - DataOps is becoming essential for managing the increasing volume of data in industrial settings, with platforms expanding their capabilities to support AI lifecycle management [13][14] - Companies are focusing on data governance to ensure compliance with regulations like GDPR, enhancing data observability and tracking [14] Trend 5: AI-Driven Digital Threads Transforming Design and Engineering - Digital threads are reshaping engineering processes by ensuring data continuity throughout the product lifecycle, as demonstrated by Siemens' new solutions [17] - Autodesk's Project Bernini showcases how generative AI can enhance early design processes, promoting a multi-modal design approach [17] Trend 6: Sensorization of Predictive Maintenance - Predictive maintenance solutions are increasingly integrating custom hardware with analytics models, focusing on sensor quality and system compatibility [18][19] - New solutions are extending predictive maintenance capabilities to previously overlooked asset categories, enhancing monitoring and fault detection [18] Trend 7: Rising Demand for Private 5G Networks - The demand for private 5G networks is growing, particularly in the US and Asia, but integration with existing infrastructure remains a significant challenge [21][22] - Companies are developing solutions that combine generative AI, edge computing, and private 5G for real-time industrial safety and asset monitoring [22] Trend 8: Sustainable Solutions Enhanced by AI - AI is improving carbon emissions tracking and compliance efficiency, with various applications being upgraded to enhance data visibility and accuracy [23] - Collaborative efforts, such as those between Microsoft and Accenture, are optimizing compliance processes through AI integration [23] Trend 9: Cognitive Capabilities Empowering Robotics - Robotics manufacturers are incorporating cognitive AI and voice interaction features, allowing users to control robots through voice commands [24] - This trend aims to enhance flexibility and reduce the need for specialized skills in manufacturing and logistics [24] Trend 10: Digital Twins Evolving into Real-Time Industrial Co-Pilots - Digital twins are transitioning from static models to dynamic tools that assist in operations, training, and quality control [25] - Companies like EDAG Engineering and Siemens are showcasing how AI-driven digital twins can optimize processes and enhance training efficiency [25]

其二，中国ESG实践引领全球减碳潮流，企业在绿色技术与可持续发展领域彰显强大竞争力。迈瑞医 疗、特锐德和汇川技术介绍了凭借领先的ESG管理和减碳技术赢得国际市场认可的成果。境外投资者对 这些企业在新能源和环保领域的创新应用兴趣浓厚，高度评价中国新能源产业链的全球化能力，并指出 ESG实践已从单纯的合规要求转变为企业增长引擎，中国企业正通过领先的碳减排技术锁定国际订单， 形成差异化竞争优势。 2025年6月4日至5日，深圳证券交易所(以下简称"深交所")在新加坡举办"投资中国新机遇——深市上市 公司新加坡交流日"活动。深圳迈瑞生物医疗电子股份有限公司(以下简称"迈瑞医疗（300760）")、深圳 市汇川技术（300124）股份有限公司(以下简称"汇川技术")、深圳麦格米特（002851）电气股份有限公 司(以下简称"麦格米特")、青岛特锐德（300001）电气股份有限公司(以下简称"特锐德")、深圳市英维 克（002837）科技股份有限公司(以下简称"英维克")等深交所市场(以下简称"深市")上市公司与新加坡 投资者进行了深度交流，全方位展示中国新质生产力发展成果，凸显相关领域上市公司的投资价值。 此次活动也收 ...