新华财经上海6月5日电（记者安娜）记者5日在国家管网集团西气东输公司媒体公众开放暨品牌日活动 上获悉，国家管网西气东输累计向上海输送天然气突破650亿立方米；向长三角地区输送天然气达5500 亿立方米，折合替代标煤7.1亿吨，可减少排放二氧化硫1399.2万吨、粉尘3.98亿吨和二氧化碳8.04亿 吨，相当于种植阔叶林24.2亿公顷，为推动长三角地区一体化高质量发展注入"绿色动能"。 目前，国家管网集团所辖西气东输管道系统途经长三角地区30个地市，每天向长三角地区204家直供用 户供应"福气"，日均分输量超1.45亿立方米，最高日分输量近2亿立方米，供气量约占长三角地区天然 气消费总量的四分之三，超2亿人口从中受益。 如今，这样的"铁脚板"巡线方式正在发生改变。国家管网西气东输利用数字孪生技术，精准还原复杂管 网布局，让能源动脉从"地下"走向"云端"，搭建智慧管道全域风险控制平台，全面整合7套管道保护技 术手段，就如同具备了人的感官，帮助工作人员全天候、无死角掌握管道本体情况。 从"一条线"到"一张网" 吴淞江南侧的苏州市甪直镇，西气东输一线、二线管道在甪直分输联络站相互连通，来自新疆塔里木盆 地、中亚地区的 ...

以制度创新弥合技术与治理的适配张力 □ 陈雪儿 在江苏省华新镇杨家庄村，数字孪生技术的应用正为乡村治理注入新动能。该村通过整合党建、治理、 服务三大功能模块，构建智能化管理平台，实现从火灾预警到独居老人关怀的全流程数字化管理。2025 年全国两会期间，全国人大代表陈雨佳建议打造全国统一的乡村数字化治理平台。实践表明，数字技术 不仅是工具革新，更是乡村治理从"经验范式"向"技术范式"跃升的核心驱动力，既遵循技术与社会良性 互动的理论逻辑，也顺应着国家治理现代化的时代需求。 以技术嵌入重构乡村治理的底层逻辑 传统乡村治理模式在推进过程中，长期面临着信息共享不充分、治理主体协同不足、服务资源整合有待 加强等现实挑战，数字技术的介入，本质上是通过"数据流动"重塑治理关系的逻辑，使得乡村的治理更 加系统化、全面化和精准化。在浙江德清，归集58个部门、282类数据，叠加18个图层而构建的"数字乡 村一张图"，不仅实现了土地、人口、产业的动态可视化，更打破了部门间的数据壁垒，推动治理决策 从"经验直觉"转向"算法驱动"。杨家庄村的综合性数字孪生智慧管理平台正是通过系统整合生态环境、 产业布局、土地资源及基础设施等多维数据， ...

Core Insights - The fresh produce industry faces significant cash flow pressures, particularly for small and medium-sized enterprises (SMEs), due to long payment cycles averaging 90-180 days and the complexities of the supply chain [1][3] - Cold chain supply chain finance platforms are emerging to alleviate these pressures by leveraging logistics data to create a trustworthy financial service ecosystem [3][9] Group 1: Challenges in the Fresh Produce Industry - SMEs in the fresh produce sector experience cash flow constraints due to the short shelf life of products and the need for continuous investment in procurement, storage, and transportation [1] - Traditional financial institutions are hesitant to lend to these businesses due to a lack of reliable data for risk assessment [1] Group 2: Innovations in Cold Chain Finance - Cold chain finance platforms utilize real-time data from logistics to provide risk assessment for financial institutions and innovative financing tools for SMEs, such as warehouse receipt pledges and freight factoring [3][4] - SMEs can use goods stored in cold chain warehouses as collateral, with financing up to 70% of the collateral value based on real-time monitoring data [3][4] Group 3: Technological Advancements - The core competitiveness of cold chain finance lies in the authenticity and real-time nature of data, achieved through IoT, blockchain, AI, and digital twin technologies [4][6] - For instance, the integration of IoT sensors and blockchain ensures data integrity and enables real-time monitoring of temperature and humidity, significantly reducing financing risks [4][6] Group 4: Market Position and Growth - The leading cold chain finance platform, Yue Shi, connects over 4,000 cold chain parks globally and has a cold storage capacity of 57 million tons, serving over 370,000 end customers [6][7] - The platform has developed a "Cold Chain Data Loan" product in collaboration with banks, offering low-interest loans based on logistics data and transaction flows [7][9] Group 5: Future Outlook - Cold chain finance platforms are positioned as key solutions to the financing challenges faced by SMEs in the fresh produce sector, enhancing industry efficiency and creating a robust ecosystem of technology, capital, and services [9]

Core Insights - The article highlights the advancements in environmental monitoring technology in China, emphasizing the shift from manual to automated and intelligent monitoring systems, which significantly enhance efficiency and accuracy in ecological protection efforts [5][9][10]. Group 1: Technological Advancements - Various high-tech devices, such as pipeline robots and mobile water quality monitoring dogs, are being deployed for environmental monitoring, providing faster and more accurate data collection compared to traditional manual methods [6][7][8]. - The introduction of intelligent platforms like the "Ecological Intelligence" system in Hangzhou allows for real-time data integration from multiple departments, enhancing collaborative environmental governance [11][12][13]. Group 2: Digital Twin Technology - The implementation of digital twin systems, such as the "Qijiang Flood Prevention Digital Twin System," enables precise management of river basins by simulating real-world conditions and providing predictive analytics for water safety [14][15][16]. - These systems facilitate proactive measures, including forecasting, early warning, and scenario simulation, which support scientific decision-making in water resource management [16].

Core Insights - The domestic artificial intelligence (AI) sector is rapidly evolving, with numerous cities in China, including Jinan, actively developing AI industry plans and innovations [2][10] - Jinan's AI industry is projected to reach a core scale of 48.2 billion yuan in 2024, reflecting a year-on-year growth of 25.2%, and covering the entire chain from hardware to software and applications [3][6] Industry Developments - Jinan's AI industry showcases significant advancements in industrial manufacturing, particularly through the use of digital twin technology and AI-driven automation in automotive production [2][3] - The city has seen successful applications of AI in various sectors, including healthcare, where AI is integrated into the entire diagnostic process, improving service efficiency by over 30% [5][6] Technological Innovations - Jinan is home to notable companies like Inspur Group, which leads in AI server market share globally, and Shensi Electronics, which has established a comprehensive intelligent service system across multiple sectors [3][5] - The development of humanoid robots in Jinan, such as the "Xingzhe Taishan," is positioned to revolutionize the industry, with mass production expected to begin in 2025 [5][6] Application Scenarios - AI technologies are being implemented in various fields in Jinan, including autonomous driving, where L4-level self-driving buses are currently being tested [8][9] - The city is also enhancing its governance through AI, with the introduction of "smart employees" to streamline administrative processes across multiple sectors [8][9] Future Outlook - Jinan aims to deepen the integration of AI with the real economy, targeting a core industry scale exceeding 60 billion yuan by 2026, with the number of related enterprises reaching 500 [6][10] - The city benefits from a robust policy framework and support from national initiatives, positioning it favorably in the competitive landscape of AI development in China [10]

Core Insights - Beijing Universal Studios utilizes a smart energy system that integrates multiple energy sources for efficient operation [1][2] - The CCHP energy center project employs a tri-generation system that provides cooling, heating, and electricity, enhancing energy efficiency and reducing operational costs [1][2] Energy Supply System - The CCHP energy center uses natural gas as the primary fuel, generating electricity while also providing heating and cooling through waste heat recovery [1] - Ice storage technology is implemented to store cooling energy during off-peak hours and release it during peak demand, improving resource utilization [1][2] Environmental Impact - The energy center achieves an energy efficiency ratio (EER) of 5.49 and a clean energy rate of 100%, with an expected annual reduction of 21,200 tons of CO2 emissions, translating to a 42% carbon reduction rate [2] - The tri-generation system contributes to energy conservation, environmental improvement, and increased electricity supply, aiding in urban air quality management [1][2] Smart Technology Integration - A digital twin technology-based energy management platform enables unmanned energy supply across the park, optimizing energy control and operational strategies through big data analysis [2] - The energy supply for attractions, such as the water temperature control system and gas heating system, showcases the application of smart technology to enhance visitor experience [2] Industry Trends - The gas industry is increasingly focusing on smart technology, with projections indicating that the smart gas market share in China will exceed 30% by 2025 [2]

创新智能新应用 当前，我国水泥行业正处于转型调整中。面对需求不足、产能过剩、竞争加剧的重重挑战，不少水泥企 业积极转变发展路径，加码布局海外、加速向新向绿发力，努力开拓发展空间。 绿色转型促节能 轻点触控面板，位于安徽省合肥市的中国建材装备集团有限公司高端装备智造园园区三维模型跃然眼 前，从能源流向到设备状态，从物流调度到碳排放数据，每一处细节都被精确展现。 安全监管平台通过实时数据采集与分析，可精准定位安全薄弱环节；车间视觉管控系统可敏锐捕捉物品 异常与人员不安全行为，为生产筑牢安全防线；能源与"双碳"管理平台，可对水、电、气等能源进行全 流程实时管控，记录碳排放轨迹……该高端装备智造园"双碳"管理平台不仅能清晰记录园区内的碳排放 足迹，还能精准找到供应链中的"高碳环节"，带着上下游企业一起"减碳瘦身"。"我们运用了数字孪生 技术，不仅助力内部高效管理，还让客户得以远程实时跟踪订单进度，增强合作透明度与信任度。"中 国建材装备集团工作人员武慧敏说。 当前，水泥企业除了要通过供给端精准调控，减少供应量，有效稳定市场，还需苦练内功，加快转型升 级，努力向产业链价值链中高端攀升。 "全球水泥工业正处在一个新的发展 ...

Group 1: Financial Performance - In 2024, the revenue from the system device business increased by 85%, but installation and debugging costs accounted for over 25% of the revenue [4] - The revenue from the life sciences sector reached 5.68 billion yuan, with a growth rate of 28% [14] - The revenue from the water treatment and ultrapure water business grew by 20%, with a total revenue of 6.88 billion yuan [7] Group 2: Operational Efficiency - The inventory turnover days extended to 180 days due to increased stock of system devices [4] - The company aims to reduce work-in-progress inventory by 25% through digital twin technology optimization [4] - The company achieved a 5-fold increase in inspection efficiency by replacing manual visual inspection with AI visual detection [3] Group 3: Market Expansion and Strategy - In 2024, overseas revenue accounted for 38% of total revenue, amounting to 6.55 billion yuan [10] - The company plans to enhance market development efficiency through the release of industry solution white papers covering six major fields [5] - The life sciences sector's revenue share increased to 29%, with a focus on new product development in peptide synthesis [5] Group 4: Research and Development - The R&D investment intensity reached 9.8%, but the patent implementation rate was below 45% [9] - The company holds 66 domestic and 13 foreign authorized patents, with 74 domestic and 103 foreign patents in the application stage [9] - The company is focusing on developing new types of polyethylene glycol carriers to increase drug loading capacity by 20% [5] Group 5: Supply Chain and Risk Management - The company reported no supply chain security challenges, with most raw materials already localized [12] - The accounts receivable turnover days extended to 125 days, with 65% of accounts receivable from system device projects [10] - The company is exploring credit insurance to cover 80% of accounts receivable to improve cash flow [10]

Core Viewpoint - The integration of digital twin technology and blockchain in Changhong's supply chain management has transformed traditional manufacturing processes into a transparent and efficient digital ecosystem, enhancing product quality and market competitiveness [1][4][5]. Group 1: Digital Transformation - Changhong's ISRM system enables comprehensive lifecycle management of suppliers and components, facilitating seamless processes from registration to quality control [1][3]. - The application of digital twin technology allows for real-time monitoring and analysis of production parameters, ensuring high product quality and supporting the goal of "zero defects" manufacturing [1][3][5]. Group 2: Quality Management - The ISRM system enhances quality management by providing traceable records of material sources and production processes, ensuring accountability and facilitating rapid response to quality issues [3][4]. - The integration of blockchain technology ensures that quality management records are immutable, thereby enhancing the reliability of the supply chain [3][5]. Group 3: Supply Chain Efficiency - The transition from a "black box" supply chain to a "transparent" one reduces inventory waste and improves supply chain efficiency through precise management [5][6]. - Changhong's digital platform supports small and medium enterprises in establishing their own risk monitoring systems, enabling proactive risk management [5][6]. Group 4: Industry Impact - The digital transformation leads to significant improvements in quality control, with defect rates decreasing dramatically and production response times accelerating from minutes to milliseconds [6]. - The emergence of cross-industry value networks fosters tighter and more efficient collaboration among different sectors, creating new paradigms for industrial cooperation [6].

Core Insights - The global automotive parts industry is in a "stagnation transformation period," with traditional growth engines fading and a new order still in chaos [2] - Chinese automotive parts suppliers show a notable EBIT margin of 5.7%, significantly higher than Europe at 3.6% and South Korea at 3.4% [2] - The rapid growth of software-defined vehicles (SDVs) contrasts with the declining market penetration rate of pure electric vehicles, which dropped from 60% to 25% [3] Industry Dynamics - The Chinese market benefits from three driving forces: policy-driven growth in the new energy vehicle sector, demand expansion from consumption upgrades, and export opportunities from global supply chain restructuring [2] - In contrast, the European market struggles with the sunk costs of traditional fuel vehicle systems and mismatched transition rhythms to new energy [2] - The acceleration of SDVs and the slowdown in pure electric growth necessitate a balance between traditional and new business models for parts suppliers [3] Technological and Strategic Shifts - The report highlights the need for parts suppliers to develop "technology modularization" capabilities to adapt to different regional standards due to geopolitical shifts and technological divergence [4] - Companies are urged to enhance product development speed, create new R&D ecosystems, and improve operational efficiency to better integrate into regional industrial ecosystems [4] - Leading companies are adopting a dual-track evolution in product portfolios, balancing cash flow businesses with strategic growth areas [4] Operational Innovations - Industry leaders are leveraging digital twin technology to reduce R&D cycles by 30% and using AI quality inspection to lower defect rates to 0.2% [5] - The digital transformation is evolving from efficiency tools to core competitive advantages for companies [5]