本文引用的参考文献搜集于互联网，非原创，如有侵权请联系小编删除！ 在工业4.0和新基建的浪潮下，工业互联网和智能工厂的建设已经成为企业数智化转型的关键路径。本文将带您深入了解基于5G+边缘计算的智慧工厂解决 方案，通过"云边协同"架构和全场景覆盖能力，帮助企业解决传统工业模式中的痛点，实现降本增效、提升运营效率、保障数据安全，同时为政府和园区提 供数字化赋能支持。通过案例与数据的结合，我们将展示这一解决方案如何成为工业智能化转型的必经之路。 请勿将该文章用于任何商业用途，仅供学习参考，违者后果自负！更多参考公众号：无忧智库 在当今竞争激烈的工业环境中，您的企业是否也面临以下痛点？ 这些问题，是否正在阻碍您企业的进一步发展？别担心，基于5G+边缘计算的智慧工厂解决方案将为您打开一扇全新的大门！ 在5G、人工智能、物联网等技术的推动下，工业互联网已经成为企业实现数字化、网络化、智能化转型的核心载体。然而，传统的集中式云计算模式由于 高时延、高带宽成本和数据安全问题，难以完全满足工业场景中的多样化需求。因此，边缘计算应运而生。 边缘计算通过在靠近终端应用的位置建立站点，将云计算的能力延伸到边缘侧，有效解决了低时延、 ...

Important Market News - Bitcoin has surged above $115,000, increasing by 4.25% in the last 24 hours, while Ethereum has risen over 11% to $4,147.5 [1] - The State Administration for Market Regulation has initiated an antitrust investigation into Qualcomm for its acquisition of Autotalks without prior notification or communication, which is a violation of the Anti-Monopoly Law [1] Industry Insights - The Ministry of Industry and Information Technology (MIIT) has issued a notice to promote service-oriented manufacturing innovation from 2025 to 2028, focusing on the integration of 5G and industrial internet, enhancing computing power infrastructure, and applying AI technologies in various sectors [2] - The MIIT is seeking public opinion on a draft notice for commercial trials of satellite IoT services, aiming to enrich the satellite communication market and support the development of new industries like commercial aerospace and low-altitude economy [2] - The commercial aerospace sector in China is experiencing rapid growth, with the market size projected to increase from 9.2 billion yuan in 2020 to 310 billion yuan by 2024, reflecting a compound annual growth rate exceeding 100% [4] - Neuralink has demonstrated a brain-computer interface enabling a patient with ALS to control a robotic arm, showcasing advancements in medical applications of brain-machine interfaces [3][5] - The global market for brain-computer interface medical applications is expected to reach $40 billion by 2030 and $145 billion by 2040, indicating significant growth potential in various sectors [5] Company Updates - EasyRebio announced plans for its major shareholders to reduce their holdings by up to 12.15 million shares, representing 3% of the total share capital [6] - Shanghai Hejing's major shareholder intends to reduce its stake by up to 6.65 million shares, or 1% of the total share capital [6] - Zhongrong Electric's actual controller's associates plan to reduce their holdings by up to 979,600 shares, accounting for approximately 1% of the total share capital [6] - Wentai Technology reported that its subsidiary has been restricted by a court ruling from making any adjustments to its global operations for one year, although the economic rights of the company remain unaffected [6]

今年，北京市石景山区新认定"景贤人才"45人，其中科技领域18人，聚焦信息技术、人工智能、工业互 联网方向；金融及商务服务领域10人，主攻数字金融与科技服务；文化创意领域7人，深耕科幻与游戏 产业；建筑环保、医疗卫生及教育领域10人。 第五届"景贤杯"创新创业大赛也在本次大会上正式启动。本届大赛设置"人工智能与机器人""科幻与虚 拟现实""工业互联网与智慧城市"3条特色产业赛道以及1条综合赛道，并同步新设"海外人才创新创业专 项赛"和"高校青年创新创业专项赛"，旨在广纳全球智慧，汇聚海外创新人才力量，并深度发掘在校学 生与毕业生的创业潜能，加速产学研成果转化。(完) 今年"十一"期间，石景山游乐园全新大空间VR项目"NOLO奇幻城堡"首次开放亮相，为游客带来虚实交 融的沉浸式体验。 "近年来，石景山区重点发展虚拟现实和人工智能产业，公司也一直深耕这些领域。"大会现场，获评第 五批"景贤人才"的凌宇科技(北京)有限公司总经理张佳宁在接受采访时表示，"NOLO奇幻城堡"项目既 实现游乐园业态升级，加速"文化+科技"融合创新，又将该公司基于云渲染的全沉浸式LBE大空间技术 应用到真实场景，助力塑造产业发展良好生态。 ...

Core Viewpoint - The announcement of the sixth batch of provincial industrial internet platforms in Zhejiang Province includes the recognition of Jinhua Chunguang Rubber and Plastic Technology Co., Ltd. as a key player in the industrial internet sector [1][3]. Company Overview - Jinhua Chunguang Rubber and Plastic Technology Co., Ltd. is a national high-tech enterprise specializing in the research, production, and sales of cleaning appliance hoses, accessories, and complete machines [6]. - The company has established itself as a leader in the vacuum cleaner hose supply industry in China and is recognized as a top-tier supplier globally [6]. - Chunguang has obtained 31 utility model and design patents, along with 2 major technology patents from Zhejiang Province, showcasing its strong research and development capabilities [6]. Industry Context - The industrial internet platform aims to meet the digital, networked, and intelligent needs of the manufacturing industry by building a service system based on massive data collection, aggregation, and analysis [3]. - This platform supports ubiquitous connection of manufacturing resources, flexible supply, and efficient allocation within the industrial cloud environment [3].

Core Insights - The report by IDC evaluates 18 vendors in the Chinese industrial large model and intelligent agent solutions market, highlighting the increasing focus and investment in these technologies within the industrial sector [1][4] - Kaos COSMOPlat is positioned as a "leader" in the evaluation, recognized for its strategic capabilities and advancements in industrial large model construction and intelligent agent development [1][4] Group 1: Industry Trends - The industrial sector is transitioning from the conceptual phase of large models to practical applications, with significant pilot projects being initiated by leading and medium-sized enterprises [4] - Key challenges for enterprises include data governance, model accuracy, ROI assessment, and human-machine integration, which need to be addressed for successful implementation [4] Group 2: Company Developments - Kaos COSMOPlat is leveraging its existing industrial data collection and processing capabilities to enhance its competitive edge in large models and intelligent agents, integrating AI capabilities into its application systems [5] - The company has developed vertical large models tailored to specific industries such as petrochemicals, energy, home appliances, and machinery, moving from general assistants to deep scenario applications [6] Group 3: Practical Applications - In collaboration with 延长石油, Kaos COSMOPlat has built an industrial internet platform that includes 38 intelligent agents, achieving significant improvements in operational efficiency, such as a 90% increase in fault detection rates and a 60% improvement in gasoline blending success rates [8] - The intelligent agents serve as a bridge for implementing large models in industrial settings, facilitating complex human-machine interactions and enabling autonomous decision-making [8][10] Group 4: Future Outlook - IDC anticipates that as best practices mature, the market will enter a phase of replication and large-scale application, with Kaos COSMOPlat's industrial large model already integrating a vast knowledge base and numerous ecological resources [10] - The company aims to continue exploring key technologies related to large models, optimizing learning through practical applications, and developing more intelligent agents and industry-specific large models to support sustainable development in manufacturing [10]

Core Viewpoint - Shugen Technology has been recognized in the Gartner Global Industrial Internet Platform Magic Quadrant for six consecutive years, highlighting its commitment to empowering intelligent manufacturing and supporting industrial progress in China [1] Group 1: Company Mission and Development - The mission of Shugen Technology is to "empower all things with intelligence, assist industrial progress, and create social wealth," which is deeply integrated into its development strategy [1] - The company aims to provide robust foundational capabilities for China's participation in the new round of global industrial competition [1] Group 2: Business Expansion and Technological Development - Since its establishment in 2016, Shugen Technology has expanded its services from remote monitoring and fault warning for heavy machinery to smart manufacturing and intelligent management solutions [2][5] - The company has connected over 2.5 million high-value industrial devices across more than 120 countries and regions, facilitating digital transformation in various industries [1][3] Group 3: Platform and Data Utilization - The Root Cloud platform, developed by Shugen Technology, is designed to break down barriers between different industries and connect various manufacturing processes, supporting over 1,100 industrial protocols [3] - The platform generates over 30TB of data daily from a single factory, equivalent to the daily mobile network traffic of a city with a population of 200,000 [4] Group 4: Innovations and Future Directions - Shugen Technology is launching innovative solutions such as the after-sales service agent and flexible intelligent welding platform to address challenges in global manufacturing services and high-end welding sectors [5] - The integration of industrial internet and artificial intelligence is seen as crucial for enhancing cross-industry service capabilities and driving the intelligent transformation of manufacturing [5][6]

Group 1 - The core mission of Shugen Technology is to drive industrial progress through data, aiming to support China's participation in the new global industrial revolution [1][2] - Shugen Technology has been recognized in the Gartner Magic Quadrant for six consecutive years, highlighting its position as a leading technology player in the Asia-Pacific region [1] - The company focuses on transforming manufacturing through data-driven solutions, contributing to the high-quality development of China's manufacturing sector [1][2] Group 2 - Shugen Technology was founded in 2016 with the goal of providing remote monitoring and control solutions for large engineering machinery, expanding its services from after-market support to smart manufacturing [2][3] - The company has developed a cloud platform that connects over 2.5 million high-value industrial devices, supporting more than 1,100 industrial protocols [3][4] - Shugen Technology's services have expanded beyond heavy industry to various sectors, including intelligent scheduling systems in logistics and AI management in agriculture [5][6] Group 3 - The company is committed to innovation in the industrial intelligence field, aiming to enhance operational efficiency and reduce costs for traditional manufacturing [6][7] - Shugen Technology's platform integrates vast data assets to create an "enterprise brain," significantly improving organizational management and operational efficiency [6][7] - The company is focused on building a flexible and intelligent ecosystem to address challenges in the manufacturing sector, promoting smart manufacturing practices [6][7] Group 4 - Mingyang Smart Energy has established itself as a leader in offshore wind power, achieving significant milestones in the development of large-scale wind turbines [17][18] - The company has transitioned from relying on imported wind turbines to becoming a major player in the global offshore wind market, ranking second in new installations [19][20] - Mingyang's innovations include the world's first floating wind turbine with a capacity of 5.5MW and the largest floating wind platform at 16.6MW, showcasing its commitment to advancing offshore wind technology [20][21] Group 5 - The company is actively pursuing deep-sea wind power development, addressing challenges related to water depth and distance from shore [20][21] - Mingyang is transforming from a traditional wind turbine manufacturer to a smart energy service provider, integrating renewable energy generation, storage, and consumption [21] - The company is involved in various projects aimed at building a comprehensive energy ecosystem, including hydrogen production and green energy initiatives [21]

Core Insights - The 2025 World Manufacturing Conference released a report indicating that over 60% of enterprises have achieved digitalization across all business processes as of June 2023, marking a transition from medium to advanced levels of digital transformation in China's manufacturing sector [1][2] Digital Transformation Progress - Key business areas such as R&D design and production manufacturing have seen digitalization rates exceeding 60% [1] - 77.4% of industrial enterprises in China have implemented digital transformation, with some provinces like Jiangsu and Anhui exceeding 80% [3] - The overall level of integration of information technology and industrialization (两化融合) has reached 65% nationwide, with Jiangsu surpassing 70% [3] Industry Challenges - The global economic slowdown and increasing competition are pressuring China's manufacturing market, with rising production costs due to uncertainties in tariffs and trade policies [1] - The manufacturing sector faces dual pressures of green transformation and cost reduction under the "dual carbon" goals [1] Policy and Support Initiatives - Various policies, such as the "Digital Empowerment Action Plan for SMEs (2025-2027)" and "Guidelines for Digital Transformation of SMEs," have been introduced to accelerate digital transformation among small and medium-sized enterprises [2] - The establishment of a public service platform for the integration of information technology and industrialization has provided assessment and benchmarking services to over 360,000 enterprises [3] Future Directions - The integration of artificial intelligence with digital transformation is seen as a crucial step for the manufacturing industry, with a focus on high-end, intelligent, and green upgrades [4] - The development of high-quality data sets is essential for the digital transformation of the manufacturing sector, enabling the application of "Artificial Intelligence+" across various processes [6]

Core Insights - The 2025 World Manufacturing Conference released a report indicating that over 60% of enterprises have achieved digitalization across all business processes as of June 2023, marking a transition from medium to advanced levels of digital transformation in China's manufacturing sector [1][2]. Digital Transformation Progress - Key business areas such as R&D design and production manufacturing have seen digitalization rates exceeding 60% [1]. - 77.4% of industrial enterprises in China have implemented digital transformation, with some provinces like Jiangsu and Anhui exceeding 80% [3]. - The overall level of integration between information technology and industrial processes (referred to as "two-in-one integration") has reached 65% nationwide, with Jiangsu surpassing 70% [3]. Industry Challenges and Responses - The manufacturing sector faces pressures from global economic slowdown, rising production costs, and the need for green transformation under the "dual carbon" goals [1][2]. - Policies such as the "Digital Empowerment Action Plan for SMEs (2025-2027)" have been introduced to accelerate the digital transformation of small and medium-sized enterprises [2]. Role of Artificial Intelligence - The integration of artificial intelligence with digital transformation is becoming a focal point, with companies like China Telecom leading efforts to combine AI with manufacturing processes [4]. - The development of intelligent manufacturing is expected to evolve through two stages: achieving basic digitalization by 2030 and advancing to intelligent upgrades by 2035 [4]. Data Utilization - High-quality data sets are identified as essential for the digital transformation of manufacturing, necessitating the development and utilization of data resources across all processes [6]. - The need for professionals who understand both manufacturing processes and artificial intelligence is emphasized to facilitate deeper applications of AI in the industry [6].

Group 1: Tree Root Technology - Tree Root Technology has been recognized in Gartner's Magic Quadrant for Industrial IoT Platforms for six consecutive years, highlighting its strong position in the Asia-Pacific region [3] - The company aims to empower intelligent manufacturing and support industrial progress, connecting over 2.5 million high-value industrial devices across more than 120 countries [3][4] - The Root Cloud platform, developed by Tree Root Technology, is compatible with over 1,100 industrial protocols, facilitating data mining and integration across various industries [4][6] Group 2: Manufacturing Innovations - Tree Root Technology has expanded its services from after-market support to smart manufacturing and intelligent management, focusing on creating standardized products and solutions [4][5] - The company has implemented smart operations in SANY Heavy Industry's factory, utilizing over 1,540 sensors and 200 interconnected robots to generate more than 30TB of data daily [5] - The integration of industrial data into a digital twin system allows for real-time synchronization between physical and virtual factories, enhancing operational efficiency [6] Group 3: Nasta Development - Nasta has evolved from a small ink cartridge manufacturer to a leading player in the laser printer industry, becoming the fourth-largest laser printer manufacturer globally [7][8] - The company launched China's first self-developed laser printer in 2010, marking a significant milestone in the domestic printing industry [9][11] - Nasta's chip subsidiary, Jihai Microelectronics, has expanded its chip technology applications beyond printing, targeting industrial control and new energy vehicles [12][13] Group 4: Mingyang Smart Energy - Mingyang Smart Energy has successfully navigated the challenges posed by Typhoon Haikui, demonstrating the resilience of its offshore wind turbines [15] - The company has transitioned from a follower to a leader in the wind energy sector, with significant advancements in technology and cost efficiency [16] - Mingyang's deep-sea wind turbine projects, including the world's largest floating wind platform, reflect its commitment to innovation and sustainability in the energy sector [18][19]