一个个"镜头"，照见辽企迸发的向"新"力。 全球最大单体绿氨项目中，沈鼓集团打破垄断，为这一超级工程装上中国智造的"心脏"；本钢车间 里，"小身材大承重"的新钢种正加紧生产，为我国新能源车的轻量化设计提供保障；大连高新区，一种 新型生产线研发、测试同步进行，只为更早服务我国航空装备智造与迭代…… 党的十八大以来，习近平总书记四次来到辽宁，在考察调研企业时，"创新"这一关键词被反复提 及。思想之光，照亮发展之路。我省企业牢记嘱托、砥砺创新，主动对接国家战略需求，扛牢责任使 命，攻坚产业升级，加快培育壮大新质生产力。 扛牢使命 "那一刻，我热泪盈眶，更深刻地理解肩上责任的重大。"9月3日，纪念中国人民抗日战争暨世界反 法西斯战争胜利80周年阅兵式在北京举行，沈鼓集团电焊工张腾蛟作为劳模代表在现场见证了这一盛 况。他说："沈鼓自主研发的'大国重器'和这些受阅装备一样，都代表着中国的实力和底气。" 责任之重，源于使命之巨。维护国家国防安全、粮食安全、生态安全、能源安全、产业安全，是习 近平总书记赋予东北、辽宁的战略使命，也是推动辽宁全面振兴全方位振兴的重大机遇。 "作为我国装备制造业战略型、领军型企业，捍卫国家'五大 ...

节水不仅是环保议题，也是与高质量发展、产业升级直接挂钩的"必答题"。在这场全民节水行动中，我国拟培育万亿规模节水产业，而粤港澳大 湾区的身影始终活跃。 近日，粤港澳大湾区节水产业创新发展大会暨高新技术设备博览会在广州举行，来自全国多地水利水务主管部门领域、全国水务湾区节水企事业 单位代表、节水领域专家学者等合计500余人参会。会上，粤港澳大湾区节水产业联盟正式成立，并发布珠江流域节水经典案例等，加速产业协 同，助力节水产业高地建设。 （原标题：竞逐万亿节水市场，粤港澳大湾区节水产业联盟成立） 南方财经记者 伍素文 实习生 钟宸 广州报道 粤港澳大湾区节水产业高新技术设备博览会同期举行。记者在现场看到，从微灌设备、智能水表等"硬科技"产品，到水资源管理平台、数字孪生 系统等"软服务"解决方案，以粤港澳大湾区为核心的全国节水领域典型企业与机构在此亮相，技术、资本、市场精准对接，为产业升级注入了"源 头活水"。 白云国际会议中心内，2025粤港澳大湾区节水产业高新技术设备博览会热闹开展。这是一览粤港澳大湾区节水产业发展水平和最新科技成果的窗 口。 从微灌设备、智能水表到水资源管理平台、数字孪生系统等，随处可见的"黑 ...

Core Insights - The company is redefining industry rules through technological innovation, creating a full-link digital closed loop from production to consumption [1] - Significant advancements in dynamic anti-counterfeiting technology have been achieved, enhancing product traceability and consumer engagement [3] - The company's innovations are not only focused on anti-counterfeiting and traceability but also on reconstructing commercial scenarios and improving supply chain efficiency [5] Group 1: Technological Innovations - The company has restructured traditional one-code technology into a "five-in-one" system, improving product traceability and market order [1] - The "five-in-one" technology has increased the efficiency of identifying product diversion by 85% and stabilized regional pricing by 40% [1] - The use of national secret-level SM9 encryption combined with blockchain ensures data immutability for each product [3] Group 2: Consumer Engagement and Marketing - The introduction of a "scan-to-member" system transforms one-time transactions into long-term relationships, significantly increasing user engagement [5] - A summer promotional campaign led to a growth of 1.5 million private domain users and a 30% increase in repurchase rates [5] - The implementation of a "box code-store rebate" mechanism has improved store coverage from 70% to 90% [5] Group 3: Supply Chain Efficiency - The "digital twin" system monitors cold chain transportation, reducing vaccine damage rates from 1% to 0.2% and saving over 25 million yuan annually [5] - Collaboration with major tech partners like Baidu AI and Tencent Cloud enhances the company's service offerings across technology, data, and operations [5] - The integration with JD Logistics has improved delivery efficiency by 40% through intelligent sorting of "one-code" orders [5]

Group 1 - The core viewpoint of the article highlights the importance of technological advancements in grain storage and processing, ensuring food security and quality for the population [1][8] - In the first half of the year, China's primary industry added value reached 31,172 billion yuan, with a year-on-year growth of 3.7%, supported by stable summer grain production [1] - The National Food and Strategic Reserves Administration reports that summer grain procurement is at its peak, emphasizing the need for effective grain storage and management [1][3] Group 2 - The Kunming Direct Grain Storage Facility utilizes advanced technology, including a micro weather station that monitors temperature and humidity, crucial for grain safety [3][4] - The facility employs a digital twin system for efficient management, allowing for quick inspections and monitoring of grain storage conditions [3][4] - The storage strategy includes a grid management system with 420 temperature sensors in a single warehouse, enabling rapid identification of any issues [4] Group 3 - The article discusses the modernization of grain storage, comparing it to preserving vegetables in a refrigerator, ensuring the quality of stored grains [5] - The Central Reserve Grain Management requires regular rotation of stored grains to maintain quality, with specific timelines for different types of grains [5] Group 4 - The article transitions to the edible oil industry, showcasing the automation and smart technology in the COFCO Guangdong Industrial Park, which processed over 750,000 tons of soybeans in the first half of the year [6][8] - The facility features an automated production line and intelligent robots, enhancing operational efficiency and reducing manual labor [6][7] - The logistics system includes a digital warehouse management system that ensures real-time inventory monitoring and order matching [7] Group 5 - The promotion of high-quality grain projects aims to improve the quality of food available to consumers, with 273 demonstration planting bases established by mid-year [8][9] - Over 5,500 post-harvest service centers have been built, ensuring comprehensive service coverage in major grain-producing counties [10] - The implementation of 1,057 grain industry upgrade projects and the promotion of 33,000 sets of grain machinery equipment are key initiatives to enhance processing capabilities [11][12] - The National Food and Strategic Reserves Administration plans to further advance high-quality grain projects to ensure nutritious food supply for the public [13]

Core Insights - The integration of digital twin technology and industrial internet is revolutionizing factory operations and maintenance, shifting from passive response to proactive prevention, significantly enhancing operational efficiency and equipment reliability [1] Group 1: Real-time Monitoring and Predictive Maintenance - Real-time perception of equipment status is fundamental to intelligent maintenance, with sensors deployed on factory equipment continuously collecting operational parameters and transmitting them to digital twin systems [1] - Predictive maintenance is the core value of intelligent operations, with digital twin systems utilizing operational data and machine learning to accurately predict equipment failure times and locations [2] - A chemical plant's digital twin model improved fault detection rates to over 95% by enabling early identification of potential issues, thus preventing unplanned downtime [1] Group 2: Remote Operations and Collaborative Diagnosis - Remote operations and collaborative diagnosis eliminate spatial limitations, allowing experts to participate in maintenance diagnostics without being on-site [4] - A remote expert resolved a welding quality issue in a car manufacturing plant within 2 hours, a task that would typically take 1 day, by analyzing real-time data through the digital twin system [4] - This remote collaboration accelerates fault resolution and optimizes the sharing of technical resources across geographically dispersed factory clusters [4] Group 3: Spare Parts Management and Inventory Optimization - Spare parts management is enhanced through digital twin support, allowing for dynamic inventory management based on equipment failure patterns and maintenance history [4] - A mechanical processing plant's digital twin platform improved key spare parts inventory turnover by 40%, ensuring maintenance needs are met while reducing capital tied up in inventory [4] - The system also verifies spare parts compatibility before purchase, minimizing waste due to mismatched components [4] Group 4: Digital Reconstruction of Maintenance Processes - The digital reconstruction of maintenance processes through digital twin systems enhances overall efficiency by linking maintenance work orders, repair procedures, and equipment records to virtual models [5] - An electronic manufacturing plant achieved a 90% standardization rate in maintenance tasks, significantly reducing the processing time for maintenance work orders by 40% [5] - The accumulated maintenance data continuously optimizes the digital twin model's analytical capabilities, fostering a virtuous cycle of improved maintenance proficiency [5]

Group 1 - A new online high-fidelity interview system called "Digital Human Interviewer" was developed by a student team from Zhejiang University of Technology, showcasing its capabilities at a job fair for graduates in Zhejiang Province [2] - The system utilizes advanced AI and facechain technology to accurately simulate real interview scenarios, assessing students' professional knowledge, communication skills, and adaptability [2] - A case study shared by the president of Wuhan Vocational University highlights a student who achieved a 98% process compliance rate and was hired as the youngest technician due to her training with digital technologies [2] Group 2 - Digital technology is reshaping industries and education, particularly vocational education, which is increasingly integrating digital tools to cultivate high-quality skilled talent [3] - The "AI makes education personalized" concept is emphasized, with AI enabling real-time data integration from enterprises, reducing the time to convert new technologies into courses by 85% and shortening graduates' adaptation period by 40% [3] - The collaboration between schools and enterprises has led to the development of educational models that can dynamically update curricula to meet the latest industry demands, with courses being updated by 37% every six months [3] Group 3 - AI is deeply involved in student growth in vocational education, with systems designed to address specific learning challenges, such as dialect recognition and emotional management during customer service training [4] - The AI evaluation platform developed by Wuhan City Vocational College provides personalized analysis and adjusts learning content based on students' strengths and preferences, enhancing their learning experience [5] - AI and big data technologies are creating bridges between schools and enterprises, matching students' personalized data with job requirements to ensure a close alignment between talent development and industry needs [5] Group 4 - Digital technology is breaking through educational bottlenecks, with online courses designed to engage students and reduce the time needed to master skills by 50% compared to traditional classroom methods [6] - The development of interactive digital textbooks aims to provide real-time feedback on students' learning progress, allowing teachers to tailor their teaching strategies accordingly [7] - Virtual simulation systems are addressing limitations in practical training by allowing students to practice complex operations in a safe, controlled environment [7][8] Group 5 - The integration of virtual simulation training in vocational education has shown significant improvements in students' operational competency, with some students achieving employment standards during internships [9] - The use of digital twin technology allows for real-time interaction with physical production equipment, enhancing students' practical skills and providing valuable experience in digital transformation processes [11] - The collaboration between educational institutions and enterprises is crucial for developing cross-disciplinary talents needed for digital transformation in traditional industries [11]

Core Points - The successful launch of the first shield machine "Xianxing" marks the commencement of the tunneling phase for the Chengxi South Drainage Project, a significant water conservancy initiative in Hangzhou [1] - The shield machine is approximately 90 meters long, weighs about 2500 tons, and has a diameter of 12.1 meters, designed to excavate a 5-kilometer underground tunnel [1] - The project aims to enhance flood control standards in the Chengxi area from a 20-year to a 50-year flood occurrence rate [2] Group 1 - The Chengxi South Drainage Project is crucial for addressing flood drainage deficiencies in the Chengxi region and ensuring water safety for the Hangzhou Chengxi Science and Technology Corridor [2] - The project is currently advancing across various construction segments, including vertical shaft excavation and tunnel lining works [2] - The city water service group has implemented advanced calibration and management systems to ensure the precision and efficiency of the shield machine's operation [1]

Core Viewpoint - The article highlights the growth and innovation of Haolan Intelligent Manufacturing Technology Co., Ltd. in the smart logistics sector, emphasizing its unique approach to optimizing warehouse logistics through intelligent systems and digital transformation [1][6][10]. Group 1: Company Overview - Haolan Intelligent Manufacturing was founded by Wei Lantian and Qian Hao, who aimed to address bottlenecks in material handling, storage, and distribution in factories [1][5]. - The company has achieved significant growth and is recognized as an exemplary enterprise in the "Chucai Ju Han" initiative [1][10]. - The average age of team members is 28, indicating a youthful and dynamic workforce [6]. Group 2: Innovation and Technology - The company has developed a multi-agent scheduling system inspired by movable type printing, allowing for automated material delivery and optimized handling paths [5][9]. - Haolan's intelligent warehouse system is modular, enabling customization for various industry needs, which enhances efficiency and reduces delivery times from six months to five days [5][9]. - The company has integrated digital twin models for equipment simulation, significantly compressing delivery timelines [5][9]. Group 3: Market Position and Growth - In 2023, Haolan's smart logistics system achieved the highest market share in the province and ranked among the top five globally in its sector [10]. - The company anticipates a 60% year-on-year growth in revenue for the current year [10]. - Haolan has been recognized as a national high-tech enterprise and has received support from various innovation and entrepreneurship initiatives in Wuhan [9][10]. Group 4: Future Aspirations - The company aims to compete on the global stage with international smart warehousing firms, reflecting its ambition to expand its influence and market reach [11].

Group 1 - The project marks the commencement of the underground tunnel excavation phase for the Hangjia Lake South Drainage West Channel Expansion Project, with the first shield machine "Xianxing" successfully starting its operation [1] - The shield machine is approximately 90 meters long, weighs about 2500 tons, and has a diameter of 12.1 meters, designed to excavate a 5-kilometer underground tunnel [1] - The assembly of the shield machine involved over 12,000 components and was completed in 88 days, showcasing the efficiency of the municipal water group [1] Group 2 - The project aims to enhance flood control and drainage standards in the western region of Hangzhou from a 20-year to a 50-year occurrence level [2] - The construction includes multiple water inlets and a Y-shaped underground drainage channel, which is 29 kilometers long and buried 55 meters underground [2] - The drainage capacity is designed at 250 cubic meters per second, with a backup capacity of 300 cubic meters per second [2]

Core Insights - Digital twin technology is evolving from a technical concept to a core capability in complex manufacturing industries such as aerospace, automotive, and consumer electronics, addressing challenges like product complexity, market speed, and sustainability pressures [1][3] - A significant gap exists between the ideal and reality of digital twin implementation, with only about 8% of companies achieving deep integration of digital twins across product lifecycle and production processes, while 92% remain at a superficial visualization stage [1][3] Group 1: Digital Twin Misconceptions - Many companies mistakenly view digital twins as advanced 3D graphics rather than as a comprehensive system that encompasses design, simulation, verification, optimization, manufacturing, and service [3][8] - The lack of integration leads to isolated systems and fragmented data, hindering the ability to support a closed-loop collaboration from design to manufacturing and operation [1][3] Group 2: Structural Challenges - The traditional manufacturing process often identifies issues late, resulting in rework, delays, and increased costs; digital twins allow for early identification of potential risks through virtual testing [3][4] - Companies face structural challenges in implementing digital twins, as many operate with disconnected material lists (BOMs) across different domains, leading to inefficiencies and errors [8][9] Group 3: Siemens' Approach - Siemens' Nanjing factory exemplifies the successful application of digital twins, where the planning and construction processes were completed within a digital twin environment, allowing for real-time data feedback and continuous performance improvement [4][11] - The concept of a "digital thread" is crucial for integrating tools, data, processes, and systems, enabling seamless collaboration across design, simulation, manufacturing, and service [9][11] Group 4: Execution Engine - To convert data into business value, companies need an "execution engine" to support the entire process of modeling, simulation, testing, and feedback, with Siemens' Simcenter playing a key role in this aspect [14][15] - Simcenter integrates engineering simulation, performance prediction, and virtual validation, allowing for predictive verification and real-time feedback throughout the product lifecycle [15][17] Group 5: Real-World Applications - Digital twins have been successfully applied in various industries, such as battery manufacturing, where optimization led to a 22% improvement in cooling performance and a 50% reduction in design time [17] - In the automotive sector, companies like VinFast have demonstrated rapid adaptability, achieving a production capacity increase to 55,000 units per month through Siemens' digital twin solutions [18] Group 6: Future of Digital Twins - Comprehensive digital twins represent a new production logic and organizational capability, reshaping product design paradigms and defining core competitiveness for future industrial enterprises [19][20] - The transition from "tool stacking" to "system restructuring" signifies that the future belongs to organizations that can leverage data-driven evolution and simulation-supported decision-making [19]