| 序号 | 专利类别 | 专利名称 | 专利号 | 专利保 护期限 | 专利权人 | | --- | --- | --- | --- | --- | --- | | 1 | 发明专利 | 一种双向旋转高速油 封 | ZL202210252151. 0 | 20 年 | 盛帮股份 | | 2 | 实用新型专利 | 一种气垫密封件及其 密封结构 | ZL202423243650. 7 | 10 年 | 盛帮股份 | | 3 | 外观设计专利 | 内锥对接头(4#) | ZL202530062757.2 | 15年 | 盛帮双核 | | | | | | | 元音出 | 格隆汇2月4日丨盛帮股份(301233.SZ)公布，公司及子公司成都盛帮双核科技有限公司（简称"盛帮双核"）自2025年7月1日起至 2025年12月31日止共取得国家知识产权局颁发的专利证书3项，其中发明专利1项、实用新型专利1项、外观设计专利1项。公司 参与编写并已发布的标准共2项，其中国家标准2项。 | 风力发电机 偏航轴承及 | GB/T | | | | | 国家橡胶与橡胶制 | | --- | --- | --- | --- | --- ...

格隆汇2月4日丨盛帮股份(301233.SZ)公布，公司及子公司成都盛帮双核科技有限公司（简称"盛帮双核"）自2025年7月1日起至 2025年12月31日止共取得国家知识产权局颁发的专利证书3项，其中发明专利1项、实用新型专利1项、外观设计专利1项。公司 参与编写并已发布的标准共2项，其中国家标准2项。 | 风力发电机 偏航轴承及 | GB/T | | | | | 国家橡胶与橡胶制 | | --- | --- | --- | --- | --- | --- | --- | | 变浆轴承橡 | 33154-20 | 参与 | 2025/8/1 | 2026/2/1 | 国家标准 | 品标准化技术委员 | | | 25 | | | | | (TC35/SC3) | | 胶密封圈 | | | | | | | | 序号 | 专利类别 | 专利名称 | 专利号 | 专利保 护期限 | 专利权人 | | --- | --- | --- | --- | --- | --- | | 1 | 发明专利 | 一种双向旋转高速油 封 | ZL202210252151. 0 | 20 年 | 盛帮股份 | | 2 | 实用新型专利 ...

近期，"做滑雪教练周赚万元""小白4天拿证"等话题在社交平台上引发广泛关注。在冰雪经济持续升温 的过程中，部分培训机构推出了针对零基础人群的"速成考证"服务。这些机构试图让学员在短短几天内 跨越职业门槛，这种现象不仅让公众对从业者技能素质打上问号，更让滑雪这项高风险运动的安全底线 面临严峻挑战。 问题的症结在于，部分培训机构将"考前集中培训"的执行路径彻底走样。正规培训本应是在"考培分 离"原则下，对已有基础的学员进行能力梳理与强化，但被一些机构包装成了零基础过关的"保过班"。 这种"注水"操作，不仅严重降低了职业证书的含金量与公众认可度，更让证书本应具备的技能保障功能 形同虚设，严重影响滑雪运动的安全性。 冰雪产业的健康发展，离不开行业标准的刚性执行。相关监管部门应进一步加强对培训环节的监管，严 厉打击投机取巧的违规培训行为。雪场作为经营管理方，也应完善岗前测评机制，通过实地试讲和技术 考核检验入职者的真实水平。 滑雪是速度与技术的结合，更要坚守对规则与安全的敬畏。绝不能让"速成"的利益诱惑，掩盖高风险运 动的安全底色。唯有让专业能力与职业资格紧密连接，让安全意识贯穿始终，冰雪产业才能在科学安全 的轨道上行 ...

Core Insights - The pet home feeding service addresses the issue of pets being left alone during holidays, but concerns about family privacy and pet safety are rising [1] - Trust is essential in this industry, and transparency is key to building it [4][5] - The industry currently lacks standards and regulation, leading to varying service quality and potential safety risks [8] Group 1: Trust and Transparency - Establishing trust in pet home feeding services is crucial, with transparency being a significant factor [4] - Platforms are implementing measures such as requiring live streaming during services to enhance transparency and protect both clients and pet sitters [5] - Consumers often feel insecure about allowing strangers into their homes, highlighting the need for clear communication and trust-building measures [3] Group 2: Legal and Regulatory Framework - Legal agreements are essential for protecting both consumers and service providers, with written contracts being preferred over verbal agreements [7] - In cases of pet injury or loss during service, determining liability involves assessing the actions of the service provider and the platform [8] - The industry currently has low entry barriers, which can lead to inconsistent service quality and safety concerns, necessitating the establishment of industry standards and regulations [8]

Core Viewpoint - The Ministry of Industry and Information Technology (MIIT) has publicly solicited opinions on 101 industry standards, including those related to black metallurgy, non-ferrous metals, and building materials, such as "Determination of Weight Loss Rate of Graphene Oxide Powder by Thermogravimetric Analysis" and "Battery-grade Lithium Dihydrogen Phosphate" [2][5]. Group 1: Industry Standards Overview - The MIIT has completed the drafting of 23 standards for the black metallurgy industry, 9 standards for the non-ferrous metals industry, 54 standards for the building materials industry, 1 standard for the rare earth industry, and 14 standards for the machinery industry [5]. - The "Determination of Weight Loss Rate of Graphene Oxide Powder by Thermogravimetric Analysis" specifies the method for measuring the weight loss rate of graphene oxide powder, including principles, instruments, reagents, testing environment, sample preparation, experimental steps, data analysis, precision, and reporting [5]. - The "Battery-grade Lithium Dihydrogen Phosphate" outlines product classification, technical requirements, testing methods, inspection rules, labeling, packaging, transportation, storage, accompanying documents, and order content applicable to battery-grade lithium dihydrogen phosphate products [6]. Group 2: Analytical Methods - The "Chemical Analysis Method for Nickel Cobalt Manganese Lithium Part 2: Determination of Multi-element Content by Inductively Coupled Plasma Atomic Emission Spectroscopy" describes the method for determining the content of lithium, nickel, cobalt, manganese, sodium, calcium, iron, copper, zinc, magnesium, potassium, aluminum, boron, sulfur, silicon, strontium, yttrium, niobium, tantalum, tungsten, zirconium, and titanium in nickel cobalt manganese lithium [6].

Core Viewpoint - The article highlights the rapid growth and market potential of domestic AI chip companies, particularly focusing on Wallen Technology, which has successfully launched its GPU products and is experiencing significant revenue growth due to increasing demand for AI computing power [1][3]. Company Overview - Wallen Technology, known as the "first GPU stock in Hong Kong," debuted on the Hong Kong Stock Exchange on January 2, 2026, with a market capitalization exceeding HKD 100 billion and a subscription rate of over 2300 times during the offering phase [1]. - The company has developed its first-generation GPGPU architecture and two chip models, BR106 and BR110, and is advancing towards its second-generation architecture products [2][8]. Revenue Growth - In 2022, Wallen Technology reported revenue of approximately RMB 500,000, which surged to about RMB 62.03 million in 2023, marking a growth of 443.29% to approximately RMB 337 million in 2024 [2]. - The average transaction amount per customer increased by 113.64% to RMB 940,000, reflecting the company's successful market penetration and product acceptance [2]. Market Potential - The Chinese smart computing chip market is projected to grow from USD 1.7 billion in 2020 to USD 30.1 billion by 2024, with a CAGR of 105%, and is expected to reach USD 201.2 billion by 2029 [3]. - Domestic AI chip manufacturers are anticipated to increase their market share from approximately 20% in 2024 to about 60% by 2029, indicating significant growth opportunities for competitive players [3]. Technological Advancements - Wallen Technology is focusing on enhancing its cluster capabilities and has successfully commercialized its AIDC thousand-card GPU cluster project, collaborating with major telecom operators [6][9]. - The company plans to launch its next-generation flagship data center chip, BR20X, by 2026, which is expected to provide improved single-card computing power and support for various data formats [8]. Industry Collaboration - Wallen Technology is actively participating in industry collaborations, including the establishment of the OISA ecosystem and the development of mixed training solutions to address challenges in heterogeneous computing environments [9][10]. - The company is involved in the formulation of national standards for AI computing, which will facilitate the adoption of domestic GPUs and support the innovation of large models [10]. Future Strategy - The company aims to continue investing in R&D, particularly in core technologies to enhance its autonomous capabilities, while fostering partnerships to improve brand recognition and accelerate solution commercialization [10][11]. - The competitive landscape for domestic GPUs is evolving beyond hardware specifications to encompass reliable deployment, open-source ecosystem development, and forward-looking technical standards [10].

Core Viewpoint - The Ministry of Industry and Information Technology (MIIT) has announced the public disclosure of 154 industry standard project applications, including the "General Specifications for Environmental and Reliability of Electric Vehicle Chips" [1] Group 1 - The MIIT is following its overall plan for standardization work by proposing new industry standards [1] - Stakeholders are invited to provide feedback on the proposed standard projects during the public notice period [1] - The feedback can be submitted through a designated form to the Science and Technology Department of the MIIT [1]

Core Insights - TA18 titanium alloy capillary tubes are essential in material engineering due to their excellent mechanical properties and are increasingly used in aerospace, medical, and chemical industries [1][4] - Understanding technical parameters, industry standards, and common material selection pitfalls is crucial for ensuring safety and reliability in applications [1][4] Mechanical Properties - TA18 has superior mechanical properties, making it suitable for applications such as micro heat exchangers, micro catheters, medical implants, and high-temperature reactors [4] - The domestic market price is approximately RMB 500 per meter, while the LME spot price for titanium alloy is around USD 50,000 per ton [4] Industry Standards - Industry standards like ASTM B338-21 and GB/T 26872-2011 outline the chemical composition and technical requirements for TA18, ensuring its mechanical and corrosion resistance properties [4] - There are common misconceptions in material selection, such as focusing solely on cost, overlooking production process differences, and relying too heavily on a single standard [4][5] Processing Performance - There is a debate regarding the processing performance and fatigue limits of TA18, with some industry experts noting that stress concentration during manufacturing can affect long-term fatigue resistance [5] - Others argue that with proper control of heat treatment parameters and processing techniques, the fatigue performance can meet high-end application requirements [5] Market Dynamics - Combining domestic and international standards can optimize performance and ensure compliance with various market requirements [5] - Continuous monitoring of technical developments and market trends is essential for companies to maintain a competitive edge in the evolving landscape of TA18 titanium alloy capillary tubes [6]

Core Viewpoint - The 3J53 precision alloy is a critical material in modern defense equipment manufacturing, significantly impacting the reliability and overall combat performance of military equipment [1] Group 1: Physical Properties of 3J53 Alloy - The 3J53 alloy exhibits excellent physical properties, including a density of approximately 8.2 g/cm³, making it suitable for high-load applications [3] - After heat treatment, the hardness of the alloy reaches HV 550-600, ensuring wear resistance and impact resistance in extreme environments [3] - The electrical conductivity is around 35 MS/m, meeting the European standard EN 50189, indicating strong performance in electrical or electromagnetic shielding [3] - The thermal expansion coefficient is 12×10^-6/K, and the thermal conductivity is about 180 W/(m·K), complying with domestic GB/T 11174-2011 thermal management standards [3] - The low-temperature toughness shows a tensile strength of no less than 950 MPa at -60°C, demonstrating crack resistance in extreme conditions [3] Group 2: Common Misconceptions in Material Selection - Common misconceptions include focusing solely on one performance indicator, such as strength, while neglecting toughness and conductivity, leading to imbalanced material applications [4] - There is a tendency to blindly pursue hardness, overlooking processing performance and ductility, which can complicate manufacturing and lead to cracking [4] - Confusion between domestic and international standards can result in misjudgment of material performance boundaries, potentially causing equipment failure or unmet mission requirements [4] Group 3: Industry Standards and Market Insights - The 3J53 alloy can be evaluated according to international standards like ASTM B742-17 and meets domestic GB/T 8131-2019 requirements [4] - Monitoring market data, such as LME copper prices around $7,000 per ton, is crucial as price fluctuations affect procurement budgets and material selection preferences [4] - There is ongoing debate regarding the corrosion resistance of 3J53 in harsher environments, with some research institutions suggesting enhanced performance testing in high chloride concentration settings [4] Group 4: Future Directions and Technical Enhancements - The performance parameters of the 3J53 alloy provide a foundational guarantee for its application in the defense industry [5] - Material selection should avoid the blind pursuit of a single indicator and instead involve a multidimensional analysis based on actual working conditions and industry standards [5] - Understanding market fluctuations can aid decision-makers in making more rational choices, with future technological advancements potentially focusing on optimizing performance while expanding application scope [5]

Core Insights - The learning machine market in China is experiencing rapid growth driven by user demand, accelerated application of large models, and national subsidy policies, with sales projected to rise from 3.342 million units in 2021 to 5.923 million units by 2024, reflecting a compound annual growth rate of 21% [1] - The industry is shifting focus from price and channel competition to higher dimensions such as content resources, AI applications, and industry standards [1] - Companies that maintain product and operational leadership while participating in industry standard formulation gain dual authority in technology maturity and market recognition [1] Industry Developments - In 2025, multiple industry standards and evaluation systems will be launched, with the China Academy of Information and Communications Technology collaborating with leading companies to establish technical specifications and assessments in AI learning machines and educational intelligent agents [1] - The "AI Super Teacher" from Zuoyebang learning machine became one of the first brands to pass the evaluation by the China Academy of Information and Communications Technology, focusing on educational applications and demonstrating strong performance in real learning scenarios [3] Market Strategy - Zuoyebang adopted a unique pricing strategy by launching its first AI learning machine in the 2000-3000 yuan range, targeting the demand for high-quality educational resources in lower-tier cities [4] - As of the first quarter of 2025, the 2000-4000 yuan price segment accounted for 57.2% of the market, with Zuoyebang holding a 46.7% market share in this segment [4] Channel Development - The learning machine market is transitioning from primarily online channels to a more integrated online and offline approach, with an increasing emphasis on offline experiences and services [7] - Zuoyebang has been one of the first brands to establish offline channel layouts, covering most prefecture-level cities in China, which serve as key points for brand experience and customer service [7][8] User-Centric Approach - The development of large model technology, diverse user needs, and upgraded channel systems are reshaping the growth logic of the learning machine industry [9] - Zuoyebang's sustained leadership is attributed to its focus on user needs, from targeting the mass market to building AI capabilities and establishing a comprehensive online and offline operational framework [9]