关键词：智慧养护行业相关政策、智慧养护行业产业链、传感器行业市场规模、智慧养护行业市场规 模、智慧养护行业发展趋势 一、智慧养护行业概述 智慧养护是智慧公路的一个重要组成部分。智慧养护就是利用新一代的信息技术代替传统的养护管理模 式，让智能感知、机器视觉等技术代替人的眼睛和耳朵，让5G、物联网等替代人的神经网络，并将道 路上的各类信息及时、全面、准确地传输到能够自主学习、思考的人工智能大脑，辅助甚至替代公路管 理者进行科学决策，从而全面提升道路的使用性能和车辆的通行质量。 智慧养护与传统公路养护的区别 智慧养护按照养护对象可分为交通基础设施养护、建筑设施养护、工业设备养护等；按照技术应用可分 为物联网养护、大数据养护、人工智能养护等。 智慧养护的分类 二、智慧养护行业政策 内容概况：传统公路养护长期依赖人工巡查与经验判断，存在效率低、数据准确性不足、过程难以追溯 以及现场作业安全风险高等固有局限。随着我国交通基础设施规模持续扩大和公众对出行品质要求的不 断提升，原有养护模式已难以适应现代公路网络精细化、高效化管理的迫切需求。在此背景下，智慧养 护应运而生，通过集成应用物联网、人工智能、大数据等新一代信息技术， ...

11月18日，第二十届中国经济论坛平行论坛——2025大湾区科技与金融创新发展大会在广州南沙成功举办。第十四届全 国政协委员尹艳林发表主旨演讲。他强调，科技金融作为"五篇大文章"之首，在金融强国建设和社会主义现代化进程中 地位举足轻重，"十五五"时期我国科技金融发展机遇与挑战并存，需聚焦重点方向破解发展难题，构建科技产业与金融 的良性循环。 尹艳林首先回顾了"十四五"时期我国科技金融取得的显著成就。商业银行充分发挥间接融资主渠道作用，5年来科技贷款 增长30%，截至今年上半年规模超40万亿元，制造业长期贷款增速尤为突出。此外，贷款加权平均利率低至2.9%，100多 万家科技企业获得贷款服务，"小巨人"示范企业获贷率高达80%，"贷款难、贷款贵"问题显著缓解。 资本市场支持力度持续加码，科创板设立及注册制改革深化，设置科创成长层，启动第五套标准，截至4月底已有500多 家科创企业上市，占沪市企业总数的41%，新上市企业中70%为科技企业，市值占比30%以上。 版权声明 同时，科创债等创新产品推出，债券市场"科技板"正式启动；创业投资、科技保险蓬勃发展，推动7地设立科创金融改革 试验区，跨境金融便利化政策持续优化 ...

Core Insights - The 2025 Greater Bay Area Technology and Financial Innovation Development Conference highlighted the critical role of technology finance in China's financial strength and modernization process, emphasizing the need to focus on key areas to overcome development challenges during the 14th Five-Year Plan period [1] Group 1: Achievements in Technology Finance - Over the past five years, technology loans have increased by 30%, exceeding 40 trillion yuan as of mid-2023, with significant growth in long-term loans for the manufacturing sector [1] - The average weighted interest rate for loans has dropped to 2.9%, with over 1 million technology enterprises receiving loan services, and an 80% loan approval rate for "little giant" demonstration enterprises [1] - The capital market has seen increased support, with over 500 technology enterprises listed on the Sci-Tech Innovation Board, accounting for 41% of the total listed companies in Shanghai, and 70% of new listings being technology firms [2] Group 2: Opportunities and Challenges in the 14th Five-Year Plan - Six major opportunities identified include the continuous improvement of policy frameworks, strong financial institution capabilities, increasing market demand driven by self-reliance in technology, advancements in AI and big data for risk assessment, and deepening capital market openness [2] - Three main challenges include insufficient evaluation and identification capabilities for early-stage technology projects, systemic contradictions in venture capital assessments, and slow expansion of venture capital scale with concerns from private capital [2] Group 3: Future Development Directions - Eight key directions for future development include enhancing the role of national commercial banks, focusing on areas not covered by commercial banks, expanding direct financing through equity and bonds, and fostering patient capital [3] - Additional directions involve promoting differentiated allocation of technology finance resources, improving the technology finance service ecosystem, strengthening talent and technology collaboration, and optimizing financial institution management systems [3]

Core Viewpoint - The company aims to become a globally competitive leader in full-function GPU technology, focusing on providing computing acceleration platforms for AI, digital twins, and high-performance computing since its establishment in 2020 [2][12]. Business Operations - The company primarily engages in the research, design, and sales of GPUs and related products, with a focus on high-performance computing applications [2][3]. - The company has successfully launched four generations of GPU architectures, covering various application areas including AI computing, high-performance computing, and graphics rendering [3]. - The company has a diverse product matrix that meets the differentiated needs of government, enterprises, and individual consumers [3]. Technology and Innovation - The company has applied for over 1,000 patents, with 514 patents granted as of June 30, 2025, leading among domestic GPU companies [4][6]. - The company emphasizes continuous R&D investment, with over 75% of its workforce dedicated to R&D, resulting in products that meet or exceed international standards [4]. - The company actively participates in industry standards development, enhancing its technological leadership [5]. Financial Performance - The company's main business revenue for the reporting period (2022 to 2025) shows significant growth: 45.84 million, 121.47 million, 432.32 million, and 701.58 million yuan [7]. - The main business gross margin has improved from -70.45% to 69.17% over the same period, reflecting a shift towards higher-margin products [9]. - R&D expenses have been substantial, with figures of 1,116.49 million, 1,334.43 million, 1,358.69 million, and 556.73 million yuan, indicating a strong commitment to innovation [11]. Development Strategy - The company aims to provide global computing acceleration infrastructure and solutions, focusing on AI computing support for various industries [12]. - The company has identified its core competitive advantages in the domestic GPU sector, including a robust ecosystem, a professional R&D team, and effective commercialization strategies [12][13]. Industry Trends - The Chinese GPU market is experiencing rapid growth driven by increasing demand for computing power, with a notable shift towards domestic production [16][17]. - The application of GPUs is expanding into diverse fields, particularly in AI, where their capabilities are becoming essential [17]. - The industry is witnessing a trend towards technological upgrades and increased localization, providing significant opportunities for growth [16][18]. Competitive Position - The company is positioned in a market dominated by international players like NVIDIA and AMD, but it has gained market share through close customer service and rapid response to needs [18]. - The company’s products have achieved performance metrics that are competitive with international standards, such as the MTT S80 graphics card's performance nearing that of NVIDIA's RTX 3060 [18][19]. Public Offering - The company plans to issue 70 million shares, increasing its total shares to 470.03 million, with the new shares representing 14.89% of the total [20]. - The raised funds, totaling 800 million yuan, will be allocated to the development of new AI and graphics chips, enhancing the company's core competencies and market share [21].

Core Viewpoint - JiaHua Technology (688051) announced plans to acquire a controlling stake in Shudun Information Technology Co., Ltd. through a combination of share issuance and cash payment, which may constitute a significant asset restructuring. The company's stock will be suspended from trading starting November 24, 2025, for a period not exceeding five trading days [2][3]. Group 1: Acquisition Details - JiaHua Technology has signed a preliminary equity acquisition intention agreement with Zhu Yun, a major shareholder of Shudun Technology, to purchase shares held by him. The final price will be determined based on an assessment report from a qualified evaluation agency [3]. - The specific transaction details will be formalized in a subsequent agreement, and the final transaction counterparties will be disclosed in future announcements [3]. - The transaction will not result in a change of the actual controller of JiaHua Technology, and it is currently unclear whether this transaction constitutes a related party transaction [3]. Group 2: Shudun Technology Overview - Shudun Technology, established in 2002, specializes in domestic cryptography technology research, cryptographic information security product development, and overall information security solutions. It is one of the first companies recognized by the National Cryptography Administration for commercial cryptography qualifications [4]. - The company has developed four major systems: cryptographic security products, information security products, compliance services, and cryptographic evaluation services. It holds 23 commercial cryptography product certificates, 30 patents, 41 trademarks, and 90 software copyrights [4]. - Shudun Technology has received significant venture capital support throughout its development, with its latest financing round (D round) completed in October 2023, led by CICC Capital [4][5]. Group 3: Financial Performance of JiaHua Technology - JiaHua Technology has reported losses in the last three years. The total revenue for 2022, 2023, and 2024 was 261 million, 322 million, and 300 million yuan, respectively, with the first three quarters of 2025 reporting 166 million yuan [7]. - The net profit attributable to the parent company for the same periods was -288 million, -208 million, and -103 million yuan, with a loss of -67 million yuan in the first three quarters of 2025 [7]. - As of November 21, 2025, JiaHua Technology's total market capitalization was 3.712 billion yuan [8].

Group 1: Company Overview - Moer Technology is a leading domestic GPU manufacturer and will become the "first domestic GPU stock" upon listing, with an issue price of 114.28 yuan per share, the highest for new stocks this year [1] - The total share capital after the issuance of Moer Technology will be 470 million shares, with a total market value of 53.7 billion yuan at the time of listing [1] - Baiaosaitu is engaged in preclinical CRO and biotechnology, with four technology platforms for various innovative animal models and drug development services [2][3] Group 2: Financial Performance - Moer Technology has not yet achieved profitability, with projected revenues of 46.0883 million yuan in 2022, increasing to 1.24 billion yuan in 2024, and an expected revenue of 1.218 billion to 1.498 billion yuan in 2025, representing a year-on-year growth of 177.79% to 241.65% [2] - Baiaosaitu's revenues for 2022 to 2024 are projected at 534 million yuan, 717 million yuan, and 980 million yuan, with a net profit of 340 million yuan expected in 2025, marking a year-on-year growth of 303.57% [3] Group 3: Market Position and Competition - Major global players like NVIDIA and AMD dominate the integrated circuit market, while Moer Technology and other Chinese companies are gradually gaining market share in their specialized fields, contributing to the self-sufficiency of China's GPU industry [2] - Moer Technology has launched four generations of GPU architectures since its establishment in 2020, focusing on applications in AI, cloud computing, and personal computing [1]

Group 1: Market Trends and Collaborations - The 2025 Guangzhou International Auto Show highlights the significant demand for electric vehicles (EVs) in China, prompting multinational car manufacturers to launch new products tailored for the Chinese market and accelerate local collaborations in the EV sector [1][5] - Audi emphasizes that China is a crucial market in its global strategy, collaborating with SAIC Group to integrate German quality and safety standards with China's digital ecosystem [3] - Ford's representatives note that the acceleration of partnerships with China in the EV sector is primarily due to China's robust and well-established EV supply chain [5][7] Group 2: Technological Innovations - Mercedes-Benz introduced its first pure electric model featuring technology inspired by Formula 1 racing, showcasing its commitment to developing EVs in both global and Chinese markets [9] - The company is enhancing localization efforts through innovation centers in Beijing and Shanghai, leveraging China's strong supply chain and technological ecosystem [11] - The automotive industry is undergoing a transformation with the integration of artificial intelligence and big data, which are reshaping the sector [12][15] Group 3: Data Utilization and Industry Development - The establishment of a trusted data space by the China Automotive Industry Association aims to break down data silos within the industry, integrating various stakeholders such as manufacturers, parts suppliers, and research institutions [16] - The trusted data space has shown significant results in the intelligent driving insurance sector by connecting data from consumers, manufacturers, and insurance companies to create a complete loop for accident responsibility determination [17] - The accumulation of over 17,000 wind tunnel data points by the China Automotive Engineering Research Institute is enhancing AI's ability to accurately assess vehicle aerodynamic performance, thereby improving development efficiency [19] Group 4: Expansion into Robotics - Automotive companies in Guangdong are leveraging their strong industrial chain advantages to venture into the robotics industry, exemplified by GAC Group's humanoid robot providing services at a metro station [20][22] - The chairman of XPeng Motors predicts that many companies in China's automotive industry will transition into physical AI companies in the coming decade [26] - The development of humanoid robots is seen as a significant direction in intelligent robotics, although it remains primarily in the research phase [27]

Core Viewpoint - The apparent contradiction regarding the abundance and shortage of skilled talent in China can be reconciled by understanding that while there is a large pool of skilled workers, specific market demands create dynamic shortages in certain areas [1][2]. Group 1: Current Talent Landscape - China has over 72 million high-skilled workers, making it a leading country in terms of talent resources and R&D personnel [1]. - Despite the large number of skilled workers, there are significant gaps in specific skill sets due to rapid labor mobility, insufficient compensation, and limited growth opportunities in certain sectors [2]. Group 2: Market Demand Dynamics - The rapid development of new technologies such as artificial intelligence and big data has created a demand for roles like AI trainers and cloud network operators [3]. - Emerging industries, such as low-altitude economy and smart manufacturing, are generating new talent requirements, exemplified by the need for drone flight planners [4]. - The diversification of consumer needs has led to a demand for specialized skills, such as travel photography and home renovation management [5]. Group 3: Government Initiatives - The government is implementing various measures to enhance skill development, including the "Skill China Action" and high-skilled talent cultivation plans [6]. - Policies are being introduced to reform skill evaluation systems and promote lifelong vocational training, aiming to align talent supply with market needs [6]. Group 4: Industry Adaptation - Educational institutions are adjusting their curricula to better align with market demands, fostering closer ties between academia and industry [7]. - The integration of talent supply chains with industry and innovation chains is accelerating, enhancing the relevance of training programs [7]. Group 5: Market Response and Opportunities - The job market is responding to the demand for skilled talent with rising wages for in-demand positions, reflecting the dynamic nature of employment opportunities [8]. - The evolving job market is prompting individuals and families to reassess career paths, aligning personal development with market needs [8].

转自：北京日报客户端 正在举办的2025广州国际车展上，记者注意到，在中国新能源汽车市场巨大的需求驱动下，不少跨国车 企纷纷推出针对中国市场的新产品，同时加速与中国在新能源领域的本土化合作。 这家跨国车企自去年广州国际车展上首发新能源概念车后，今年再次首发全新SUV概念车，它的定义完 全契合中国高质量发展新源汽车的理念，搭载800伏高压，续航里程超过700公里。不仅如此，加速与中 国本土化合作，是这家跨国车企全新的战略。 奥迪·上汽合作项目CEO 宋斐明：中国是奥迪全球战略布局中最为重要的市场之一。我们与上汽集团合 作采用了中德协同的研发模式——德国团队与中国本土团队紧密合作，将德国品质与安全标准，与中国 数字生态实现无缝融合，让我们对品牌的未来充满信心。 美国福特相关负责人表示，在新能源汽车领域，之所以跨国车企加速与中国的合作，主要原因在于中国 有强大并且完善的新能源汽车产业链。 德国梅赛德斯-奔驰带来了首款F1赛车的纯电车型，它搭载了全球先进的电驱技术，这一举措是为了传 递在中国市场发展新能源汽车的决心，加大在中国的研发投入。 福特汽车公司副总裁 吴胜波：中国培养整个新能源汽车的产业链，至少有15年到20 ...

Core Viewpoint - The 2025 Guangzhou International Auto Show highlights the accelerating collaboration between multinational automotive companies and local Chinese firms in the electric vehicle (EV) sector, driven by China's substantial demand for new energy vehicles [1][5]. Group 1: Multinational Companies' Strategies - Several multinational car manufacturers are launching new products tailored for the Chinese market, emphasizing local collaboration in the new energy sector [1]. - Audi's CEO emphasizes that China is a crucial market for Audi's global strategy, utilizing a collaborative R&D model that integrates German quality with China's digital ecosystem [3]. - Ford's representatives note that the acceleration of partnerships with China is primarily due to the country's robust and comprehensive EV supply chain [5][6]. - Mercedes-Benz showcases its commitment to the Chinese market by introducing its first fully electric F1 car, indicating increased R&D investment in China [8][10]. Group 2: Data and Technology Integration - Big data is emerging as a new driving force in the automotive industry, with AI and data technologies reshaping the sector [11]. - The establishment of a trusted data space by the China Automotive Industry Association aims to eliminate data silos within the industry, integrating various stakeholders [13][15]. - The application of this data space in smart driving insurance has shown significant results by connecting data from consumers, manufacturers, and insurance companies to create a complete accident responsibility framework [16]. Group 3: Robotics and New Production Forces - Automotive companies are venturing into the robotics industry, leveraging their strong supply chain advantages [20][23]. - GAC Group's humanoid robot is designed to enhance service efficiency, representing a shift towards new productive forces in the automotive sector [21]. - Industry leaders suggest that many automotive companies will transition into AI-focused entities in the coming decade, emphasizing the importance of thorough feasibility studies to avoid redundant investments [25][27].