Core Insights - The 25th China International Industry Fair showcased the highest concentration of AI technologies in history, indicating a significant penetration of AI across the entire manufacturing value chain [1] - The current enthusiasm for industrial AI mirrors the early days of the Industry 4.0 wave, characterized by hopes for efficiency and productivity improvements alongside rational concerns [1] - Industrial AI is not a new concept; it has evolved from early expert systems to machine learning, with recent advancements driven by large models [1][2] - The integration of AI in industrial settings faces challenges, particularly in data, industry knowledge, and the complexity of real-world scenarios [2][4] Company Developments - Siemens presented over 20 AI-powered products and solutions at the fair, including the Industrial Copilot system, emphasizing that the main limitation for industrial AI deployment is not the algorithms but the data and complexity of scenarios [2] - ABB introduced the OmniCoreTM EyeMotion vision system and online automatic path planning technology, enhancing robot autonomy significantly, although AI still faces reliability issues in high-precision industrial applications [2][3] - ABB's strategic investment in LandingAI aims to enhance the training speed of its AI vision systems by up to 80%, indicating a commitment to integrating advanced AI technologies into its robotics software [3] Industry Perspectives - Schneider Electric highlighted the vast potential applications of AI in the industrial sector, noting that the unique nature of industrial data poses challenges for effective AI model training [4] - The current state of AI in industrial applications is primarily supportive rather than central to decision-making, with AI providing optimization strategies that require conventional models for accurate execution [5] - China is positioned as a fertile ground for industrial AI development, with a high density of industrial robots and a strong acceptance of AI innovations, leading to a rich environment for training and application [5]

Core Insights - The 25th China International Industry Fair (CIIF) showcases the convergence of advanced equipment and intelligent technology, emphasizing a new industrialization vision centered on high-end, intelligent, and green manufacturing [1][2][4] - The event highlights breakthroughs in cutting-edge fields such as superconductivity, controlled nuclear fusion, atomic-level manufacturing, brain-computer interfaces, and quantum technology, presenting a comprehensive view of future industrial development [1] Group 1: Robotics and Automation - The robotics exhibition features China's "Four Little Dragons" and international giants, with JAKA Robotics launching the JAKA EVO industrial embodiment intelligent platform, addressing multiple industry pain points [2] - ABB introduced the new IRB6750S robot, capable of handling a maximum payload of 350kg with a path accuracy of 0.9mm and a repeat positioning accuracy of 0.06mm, while reducing energy consumption by 20% [4] Group 2: Industrial AI Applications - Siemens unveiled a new generation of electric vehicle smart assembly equipment in collaboration with Zhongke Motong, marking the first pilot application of Siemens' Industrial Copilot in China, which reduces program development time and on-site debugging cycles by 30% [5] - A report released by Siemens and Zhiding Think Tank indicates that only a few enterprises are leading in the application of industrial AI due to high costs, lack of skilled professionals, and insufficient technology maturity [5]

Group 1 - The 19th International Economic Advisory Council meeting in Chongqing focused on "building an AI application hub to empower high-quality industrial development" with representatives from 21 global Fortune 500 companies [1] - A total of 71 forward-looking suggestions were made, primarily in three areas: constructing a systematic AI application mechanism, enhancing talent recruitment and training, and deepening open cooperation [1] - Companies like Signify and Hitachi Energy expressed intentions to deepen investment cooperation, with Hitachi's CEO emphasizing the need for stable power supply to unlock AI's potential [1] Group 2 - Carlsberg has invested over 20 billion yuan in China, with more than 10 billion yuan in Chongqing, and is leveraging its global "AI+" experience in its local operations [2] - Carlsberg's executive vice president proposed the establishment of an "AI+ agriculture and food" innovation platform, advocating for government-led initiatives to enhance international standards and support AI applications across various business processes [2] - The proposal includes creating a tiered talent cultivation system leveraging local educational resources to support the "AI+ agriculture and food" sector [2] Group 3 - Siemens has been involved in Chongqing's industrialization since 1925 and is a long-standing advisor in the International Economic Advisory Council [3] - Siemens' executive vice president highlighted the transition of industrial AI from "technology heat" to "application depth," aligning with Chongqing's robust manufacturing base and the new "industrial brain + future factory" model [3] - The focus is on promoting applications, nurturing talent, and building ecosystems to fully realize the potential of "manufacturing + AI" in Chongqing [3]

Core Insights - The 2025 China International Industrial Expo showcased both traditional manufacturing leaders and emerging AI-native companies, highlighting the integration of advanced technologies in industrial applications [1] Group 1: Technology and Solutions - Exhibiting companies presented systems with "self-thinking" capabilities, indicating a shift from concept validation to value creation in industrial AI [2] - Trumpf, a leader in efficient intelligent manufacturing, showcased a 504 square meter exhibit focusing on high-efficiency sheet metal processing, featuring four top-tier machine tools designed to meet actual production needs [2][3] - The TruBend 5000 series bending machines and TruLaser Weld 5000 BE automated laser welding systems were highlighted for their precision and efficiency, catering to high-demand sectors like aerospace and medical devices [5][6] Group 2: Smart Manufacturing Innovations - Omron introduced technologies for multi-axis synchronous control and a new generation of code readers, enhancing traceability and efficiency in factory digital transformation [5] - The "automatic tracking weight change without vibration" technology by Omron utilizes AI for vibration control, significantly improving factory operational rates and production efficiency [6] Group 3: Smart Elderly Care Solutions - The expo featured a dedicated section for smart elderly care service robots, marking a significant innovation in the integration of technology and elder care [7] - The VIATRIX exoskeleton robot by Aoshark was designed for daily activities and outdoor adventures, showcasing advanced AI capabilities for personalized assistance [10] - The integrated smart nursing bed-chair robot by Xuankang was recognized as part of a national pilot project, offering both mobility and emotional support for elderly users [11]

Investment Rating - The investment rating for the company is "Outperform the Market" [6][20][23] Core Insights - The company reported a revenue of 683 million yuan for the first half of 2025, representing a year-on-year growth of 30.68%, and a net profit of 146 million yuan, which is a 28.80% increase year-on-year [1][7] - The growth in performance is primarily driven by the implementation of industrial AI technology in the 3C industry and the recovery in the lithium battery sector, with expectations for continued revenue growth as demand in the semiconductor and automotive industries increases [1][2] - The company has established a dual-track strategy focusing on "industrial automation + intelligent robotics," aiming to become a core supplier of visual components for robotic perception [3][2] Summary by Sections Financial Performance - In Q2 2025, the company achieved a revenue of 363 million yuan, a 32.15% increase year-on-year, and a net profit of 73 million yuan, up 29.45% year-on-year [1] - The gross margin and net margin for the first half of 2025 were 65.47% and 21.75%, respectively, showing stability in profit margins [1][15] - The company’s expenses for sales, management, R&D, and financial costs were 19.61%, 3.39%, 18.93%, and -0.95%, with slight year-on-year changes [1] Product Development - The company has enhanced its core product layout in machine vision and expanded into industrial sensors and intelligent robotics [2] - Revenue from the 3C industry was 439 million yuan, a 23.82% increase, while the lithium battery sector saw a revenue of 167 million yuan, growing by 49.35% [2] - The company has launched upgraded visual software products and introduced advanced technologies in its product lines, solidifying its technological advantages [2] Strategic Initiatives - The establishment of a robotics division in the first half of 2025 aims to cover key visual components required for robotic perception, with plans for a new production facility in East China [3] - The company targets a revenue growth rate of no less than 20% for 2025, based on its 2024 revenue [3] - The company maintains a strong focus on R&D investment, which is expected to support long-term growth [15][17]

海得工业交换机采用工业级设计，符合工业现场的苛刻环境要求，如环境温 度、电池干扰、现场振动以及通讯协议和实时通信要求，该产品具备强大的兼容 性和稳定性，可确保在机器人设备满足各类工业生产关键实时系统的严苛要求， 助力企业实现智能制造转型；海得第二代PLC（EControl Studio）用Linux + RT 实时操作系统，兼具Linux开源性与实时性优势，可显著提升控制精度与响应速 度，在电子半导体、水处理泵站、交通隧道、管廊、制药等相关行业具有广阔的 发展前景；工业AI控制器的AI功能开发将深度整合神经网络运行时与机器学习 框架，重点突破传统工业控制器在复杂工况下的策略控制和预测性维护的技术课 题。 证券简称：海得控制 证券代码：002184 2025 年 9 月 24 日投资者关系活动记录表 编号：2025-007 | | ■特定对象调研 □分析师会议 | | | | --- | --- | --- | --- | | 投资者关系活动 | □媒体采访 □业绩说明会 | | | | 类别 | □新闻发布会 □路演活动 | | | | | □现场参观 □其他 | | | | 参与单位名称 及人员姓名 | 平 ...

Core Insights - The challenges of achieving "AI + industrialization" include data acquisition and governance, as highlighted by Siemens at the 25th China International Industry Fair [1][4] - Siemens has signed agreements with nearly 40 companies to expand its local ecosystem and has showcased its first pilot application of the Industrial Copilot based on generative AI in China [1][3] Group 1: Industry Trends - Over 80% of enterprises recognize the value of industrial AI in enhancing production efficiency and reducing operational costs, yet 43% have not deployed industrial AI, and only 8% have achieved multi-scenario applications [3] - Key barriers to deploying AI industrial systems include high deployment costs, a lack of skilled professionals, and insufficient technological maturity [3] Group 2: Company Developments - Siemens has developed a new generation of smart assembly equipment for electric vehicles in collaboration with Zhongke Motong, marking the first pilot application of its generative industrial AI assistant in the Chinese market [4] - The new industrial PC product launched by Siemens is tailored for the Chinese market and compatible with the local operating system Kirin, demonstrating a proactive response to local demands [5] Group 3: Financial Performance - Siemens reported a 28% year-on-year increase in new orders, reaching €24.7 billion, and a 5% revenue growth to €19.4 billion for the third quarter of fiscal year 2025, although the software business within the digital industrial group faced challenges compared to the previous year [6]

Group 1 - The company Sanlian Hongpu (SZ 300384) announced a board meeting held on September 22, 2025, to discuss a proposal for bank credit limits [1] - For the fiscal year 2024, the revenue composition of Sanlian Hongpu is as follows: 66.27% from new materials and synthetic materials solutions, 25.96% from recycled and biodegradable materials solutions, 6.26% from industrial AI integration applications, and 1.51% from other businesses [1] - As of the report, the market capitalization of Sanlian Hongpu is 5.4 billion yuan [1]

Core Viewpoint - The upcoming "2025 China Industrial AI Conference (IAIC 2025)" aims to drive industrial upgrading and high-quality economic development through artificial intelligence, aligning with national policies and industry needs [1][2][3] Group 1: Conference Highlights - The conference will focus on strategic goals to empower manufacturing upgrades, addressing production efficiency bottlenecks and enhancing industry chain collaboration [2] - It will facilitate the integration of industry, academia, research, and application, promoting the rapid implementation of AI technologies in real production scenarios [2] - The agenda will balance macro and micro perspectives, featuring both overarching policy discussions and specialized forums for various industries such as automotive, electronics, and renewable energy [2] - Key state-owned enterprises will be invited to share innovative applications and practices in industrial AI, reinforcing their role in leading industry advancements [2] Group 2: Location and Significance - Hangzhou was chosen for its unique advantages in the digital economy, being a hub for AI, industrial internet, and smart manufacturing with a strong ecosystem of competitive enterprises [3] - The conference is expected to inject new momentum into the development of China's industrial AI sector, facilitating a leap in smart industrialization and contributing to the goal of becoming a manufacturing powerhouse [3]

Group 1 - TCL Technology won the fifth China Quality Award for its quality management model of "extreme, leading, and collaborative" [2] - The China Quality Award was established in 2012 and has conducted five rounds of evaluation and recognition [2] - The founder and chairman of TCL, Li Dongsheng, emphasized that the model aims to achieve efficiency, product quality, and ecological leadership through multi-level collaboration across the entire industry chain [2] Group 2 - The integration of AI with manufacturing is increasingly important, enhancing production efficiency and product quality assurance [2] - TCL Huaxing applied AI intelligent detection systems in panel production, improving production efficiency by 70% and enhancing the process capability index (Cpk) by 11% [2] - TCL Zhonghuan utilized the Deep Blue AI model to integrate technology platforms with smart production lines, reducing manufacturing costs by 21% by the end of 2024 and improving the human-machine ratio by 12% [2] Group 3 - TCL Technology combines digital intelligence technology with manufacturing transformation to achieve flexible manufacturing with fewer personnel and higher intelligence [3] - In the semiconductor display industry, TCL's smart manufacturing maturity reached the highest level in the country, with the capacity of the Shenzhen T1 production line increased by 60% compared to the original design [3] - In the new energy photovoltaic industry, TCL's single furnace monthly output is 30% higher than the industry average, with a single operator remotely managing 384 furnace stations, exceeding the industry average [3] Group 4 - TCL Technology is actively collaborating with industry partners in the field of industrial AI, including a full-stack AI strategic partnership with Alibaba Cloud to create an intelligent hub for the semiconductor display industry [3] - The company plans to invest in building an AI computing power center, industrial large models, and AI service platforms, deeply integrating AI with production manufacturing and product technology research and development [3]