国家知识产权局信息显示，合肥河钢新材料科技有限公司、青岛河钢新材料科技股份有限公司、青岛河 钢复合新材料科技有限公司取得一项名为"一种新型的彩板覆膜设备及工艺"的专利，授权公告号 CN116766574B，申请日期为2023年6月。 来源：市场资讯 天眼查资料显示，合肥河钢新材料科技有限公司，成立于2000年，位于合肥市，是一家以从事软件和信 息技术服务业为主的企业。企业注册资本4139.4万人民币。通过天眼查大数据分析，合肥河钢新材料科 技有限公司参与招投标项目10次，专利信息214条，此外企业还拥有行政许可7个。 青岛河钢复合新材料科技有限公司，成立于1999年，位于青岛市，是一家以从事黑色金属冶炼和压延加 工业为主的企业。企业注册资本8700万人民币。通过天眼查大数据分析，青岛河钢复合新材料科技有限 公司参与招投标项目10次，专利信息284条，此外企业还拥有行政许可12个。 声明：市场有风险，投资需谨慎。本文为AI基于第三方数据生成，仅供参考，不构成个人投资建议。 青岛河钢新材料科技股份有限公司，成立于2003年，位于青岛市，是一家以从事黑色金属冶炼和压延加 工业为主的企业。企业注册资本9000万人民币 ...

声明：市场有风险，投资需谨慎。本文为AI基于第三方数据生成，仅供参考，不构成个人投资建议。 国家知识产权局信息显示，珠海一微星科技有限公司、珠海一微科技股份有限公司取得一项名为"一种 恒流输出的电源系统及其控制方法、受电设备"的专利，授权公告号CN113036885B，申请日期为2021年 4月。 珠海一微科技股份有限公司，成立于2014年，位于珠海市，是一家以从事研究和试验发展为主的企业。 企业注册资本36013.3644万人民币。通过天眼查大数据分析，珠海一微科技股份有限公司共对外投资了 11家企业，参与招投标项目7次，财产线索方面有商标信息75条，专利信息1499条，此外企业还拥有行 政许可39个。 天眼查资料显示，珠海市一微星科技有限公司，成立于2021年，位于珠海市，是一家以从事软件和信息 技术服务业为主的企业。企业注册资本100万人民币。通过天眼查大数据分析，珠海市一微星科技有限 公司专利信息34条，此外企业还拥有行政许可4个。 来源：市场资讯 ...

Group 1 - Shenzhen Youbixuan Technology Co., Ltd. has obtained a patent titled "Robot Control Method, Robot Control Device, Robot and Storage Medium," with authorization announcement number CN116224994B, applied for on December 2022 [1] - Shenzhen Youbihang Technology Co., Ltd., established in 2021, is primarily engaged in software and information technology services, with a registered capital of 50 million RMB and holds 116 patents [1] - Shenzhen Youbixuan Technology Co., Ltd., founded in 2012, focuses on professional technical services, has a registered capital of approximately 471.93 million RMB, and has invested in 98 companies, participated in 391 bidding projects, and holds 3,629 patents [1]

财经频道更多独家策划、专家专栏，免费查阅>> 天眼查资料显示，重庆赛力斯凤凰智创科技有限公司，成立于2023年，位于重庆市，是一家以从事软件 和信息技术服务业为主的企业。企业注册资本122225万人民币。通过天眼查大数据分析，重庆赛力斯凤 凰智创科技有限公司参与招投标项目2次，专利信息2769条，此外企业还拥有行政许可2个。 声明：市场有风险，投资需谨慎。本文为AI基于第三方数据生成，仅供参考，不构成个人投资建议。 国家知识产权局信息显示，重庆赛力斯凤凰智创科技有限公司取得一项名为"充电桩确定方法、装置、 设备及可读存储介质"的专利，授权公告号CN119714340B，申请日期为2025年1月。 ...

Core Viewpoint - The "Artificial Intelligence + Manufacturing" initiative aims to enhance the integration of AI technologies within China's manufacturing sector, targeting significant advancements by 2027, including the establishment of a secure supply of core AI technologies and a leading position in industry scale and empowerment levels [1][3][14]. Group 1: Key Objectives and Measures - By 2027, China aims to achieve a secure and reliable supply of key AI technologies, with industry scale and empowerment levels ranking among the world's top [3][14]. - The initiative outlines seven key tasks, including innovation foundation, intelligence upgrade, product breakthroughs, entity cultivation, ecosystem expansion, safety protection, and international cooperation, with 21 specific measures to promote "dual empowerment" of AI technology and manufacturing applications [1][4][16]. Group 2: Industry-Specific Pathways - The initiative customizes transformation pathways for five major industries: raw materials, equipment manufacturing, consumer goods, electronic information, and software and IT services, moving away from a one-size-fits-all approach [7][17]. - For the raw materials sector, the focus is on enhancing the intelligent level of the steel industry through the development of dynamic models covering the entire production process [17][18]. - In the automotive sector, the initiative emphasizes the intelligent upgrade of the entire supply chain, including the creation of automotive models for real-time optimization [18]. Group 3: Support for Enterprises - The initiative encourages local governments to provide support such as "computing power vouchers" and "model vouchers" to lower the application costs of AI technologies for enterprises, particularly small and medium-sized enterprises (SMEs) [11][21]. - It aims to cultivate a tiered support mechanism for enterprises, fostering both large enterprises and specialized SMEs to create a collaborative ecosystem [21][22]. Group 4: Technological Advancements - The initiative promotes the iteration of intelligent equipment and the upgrade of smart terminals, including the development of new-generation AI numerical control systems and intelligent medical equipment [10][20]. - It also focuses on the integration of AI technologies into major technical equipment development, such as large aircraft and ships, and the commercialization of new terminal technologies like AR/VR devices [20]. Group 5: Overall Impact and Future Directions - The initiative is seen as a critical step for China's manufacturing sector to transition from scale advantages to quality, efficiency, and intelligence advantages, requiring continuous exploration and collaboration among government, industry, academia, and research [4][15]. - The ultimate goal is to enable AI not only as a tool for efficiency but also as a catalyst for disruptive innovation in manufacturing, facilitating the transition from "Made in China" to "Intelligent Manufacturing in China" [3][14].

扎实的耕耘，在2019年结出了第一颗标志性硕果。事途科技协同上海市闵行区成功打造了经济治理数字 化转型系统。这不仅是一个IT项目，更是一场治理理念的革新。该系统利用大数据、人工智能等技术， 实现了区域经济运行的精准洞察、招商资源的智能匹配以及企业服务的动态优化，成为国内罕有的利用 数字化手段实现"精准招商"与"安商稳商"的典范案例。 随着企业的稳步发展，涂乔升的个人才华与贡献也日益凸显。正是因其主导的该项目对地方发展产生的 显著效能，同年他被闵行区纳入第一批特殊人才引进名单，荣登福布斯中国30岁以下精英榜，获选"经 济与金融"领域十大青年人物。此外，他还荣获了"2019年FIF卓越财税领袖奖"。这些荣誉共同印证了他 在推动产业数字化与金融科技融合方面的卓越领导力与前瞻视野。 在科技浪潮奔涌的时代，总有一些人敏锐地捕捉到技术与产业共振的脉搏，以坚实的脚步踏出一条融合 创新之路。涂乔升正是这样一位笃行实干、目光长远的探索者。2016年，他在上海创办事途科技，以此 为原点，开启了一段以科技驱动产业变革的旅程。 创业维艰，但清晰的战略定位让事途科技迅速找到了发力点。公司以上海为核心，业务版图辐射全国， 涉足数字化、大 ...

Core Viewpoint - The deep integration of artificial intelligence (AI) with the manufacturing industry is significantly transforming production models and economic forms in China, as outlined in the "AI + Manufacturing" action plan released by multiple government departments, aiming for substantial advancements by 2027 [1][2]. Group 1: Policy and Implementation - The "AI + Manufacturing" action plan aims for the secure and reliable supply of key AI technologies and to maintain a leading position in industry scale and empowerment by 2027 [1]. - The plan emphasizes the need for a dual approach: enhancing technology supply to promote "intelligent industrialization" and accelerating "industrial intelligence" to foster a robust industrial ecosystem [1][3]. - It encourages leading enterprises and state-owned enterprises to pioneer new models of AI empowerment in manufacturing, while also supporting small and medium-sized enterprises (SMEs) in their digital transformation [2][3]. Group 2: Market Opportunities - The integration of AI in manufacturing is expected to enhance customization capabilities, reduce labor costs, and improve market responsiveness and production quality, thereby increasing competitiveness [2]. - The action plan is anticipated to benefit industrial internet infrastructure companies and robotics firms, creating new market opportunities for comprehensive solution providers in manufacturing [2]. - A significant increase in the adoption of large models and intelligent agents in industrial enterprises is projected, with a rise from 9.6% in 2024 to 47.5% in 2025 [3]. Group 3: Financial and Investment Aspects - The plan proposes establishing a collaborative mechanism among departments and industries to guide enterprises in differentiated development and prevent "involution" in competition [3]. - It aims to leverage existing funding channels to support technology research and application tasks related to "AI + Manufacturing," while also enhancing the role of the national AI industry investment fund to attract more social capital [3].

Core Viewpoint - The article discusses the implementation of the "Artificial Intelligence + Manufacturing" initiative by eight Chinese government departments, aiming for significant advancements in AI technology and its integration into the manufacturing sector by 2027 [1][6]. Group 1: Key Goals and Tasks - By 2027, China aims to achieve secure and reliable supply of key AI technologies, maintaining a leading position in industry scale and empowerment levels [3][6]. - The initiative outlines seven key tasks, including innovation foundation, intelligence upgrade, product breakthroughs, enterprise cultivation, ecosystem expansion, safety assurance, and international cooperation, with 21 specific measures to promote mutual empowerment between AI technology and manufacturing [1][7]. Group 2: Industry-Specific Pathways - The initiative customizes transformation pathways for five major industries: raw materials, equipment manufacturing, consumer goods, electronic information, and software and IT services, moving away from a one-size-fits-all approach [9][10]. - For the raw materials sector, the focus is on enhancing the intelligent level of the steel industry through dynamic modeling and real-time optimization [10]. - In the automotive industry, the initiative emphasizes the need for a comprehensive intelligent upgrade across the entire supply chain, including the development of large models for design optimization [10]. Group 3: Product Breakthroughs - The initiative promotes the iteration of intelligent equipment, including industrial robots and AI-driven medical devices, to enhance decision-making and operational capabilities [13]. - It also encourages the development of new AI terminals, such as smart home devices and AR/VR equipment, to accelerate commercialization [13]. Group 4: Enterprise Cultivation - The initiative proposes a tiered approach to enterprise cultivation, supporting the development of globally influential enterprises and encouraging local governments to provide resources like "computing power vouchers" and "model vouchers" to lower application costs for SMEs [2][14]. - It aims to foster a collaborative ecosystem where large enterprises build the framework while SMEs participate actively [15].

Core Viewpoint - The joint issuance of the "Artificial Intelligence + Manufacturing" Special Action Implementation Opinions marks a significant step in China's systematic advancement of intelligent manufacturing, aiming for a transformative integration of AI into the manufacturing sector by 2027 [3][4]. Group 1: Key Objectives and Measures - By 2027, China aims to achieve secure and reliable supply of key AI technologies, maintaining a leading position in industry scale and empowerment levels globally [3][4]. - The implementation plan outlines seven key tasks, including innovation foundation, intelligence upgrade, product breakthroughs, entity cultivation, ecosystem expansion, safety protection, and international cooperation, with 21 specific measures to promote mutual empowerment between AI technology and manufacturing applications [4][6]. Group 2: Industry-Specific Pathways - The guidelines provide tailored transformation pathways for five major industries: raw materials, equipment manufacturing, consumer goods, electronic information, and software and IT services, moving away from a one-size-fits-all approach [7][8]. - For the raw materials sector, the focus is on enhancing the intelligent level of the steel industry through the development of dynamic models covering the entire production process [8]. - In the equipment manufacturing sector, particularly in the automotive industry, the guidelines emphasize the need for a comprehensive intelligent upgrade across the entire supply chain [8]. Group 3: Empowerment and Support for Enterprises - The plan encourages the cultivation of enterprises through tiered support, including the provision of "computing power vouchers" and "model vouchers" to reduce application development costs for small and medium-sized enterprises [2][11]. - It aims to foster a collaborative ecosystem where large enterprises build the ecosystem while smaller enterprises participate, enhancing the overall innovation capacity [11][12]. Group 4: Technological Advancements and Product Innovation - The implementation plan emphasizes the need for breakthroughs in intelligent equipment, including the development of new-generation AI numerical control systems and smart medical devices [10]. - It also highlights the importance of upgrading intelligent terminals and promoting the commercialization of new types of devices, such as AR/VR wearables and brain-computer interfaces [10].

资料显示，深圳东壁科技数据有限责任公司法定代表人为吴登生，成立于2024年，位于深圳市，是一家 以从事软件和信息技术服务业为主的企业。企业注册资本153.532648万人民币，并已于2026年完成了 Pre-A轮，交易金额近亿人民币。 1月7日，天眼查融资历程显示，深圳东壁科技数据有限责任公司近日获得"Pre-A轮"融资，涉及融资金 额近亿人民币，投资机构为中科创星天使轮项目「东壁科技数据」完成近亿元Pre-A轮融资。 通过天眼查大数据分析，深圳东壁科技数据有限责任公司共对外投资了3家企业，知识产权方面有商标 信息40条，此外企业还拥有行政许可4个。 来源：市场资讯 天眼查信息显示，深圳东壁科技数据有限责任公司的股东为：吴登生、熊德、北京中科创星硬科技中小 企业创业投资合伙企业（有限合伙）、深圳东壁智联科技数据合伙企业（有限合伙）、深圳东壁智汇科 技数据合伙企业（有限合伙）。 ...