新年伊始，AI应用概念再掀热度，有行业人士直言，2026年将是AI走向落地应用的元年。事实上，人 工智能技术已在快递行业内广泛落地和应用，并构筑了企业经营发展的核心竞争力。 圆通亦持续赋能加盟网点提升管理效能，其推出的"网点经理智能助手"通过智能数据分析，助力加盟商 精准把控运营状况，科学优化管理策略，实现网点运营精准管控。 值得关注的是，圆通速递打造了覆盖全链路的智能化矩阵这一"最强大脑"，在揽派、中转、运输、客 服、管理等各个环节赋能，实现了服务效率与客户体验的同步提升，目前，深度集成的AI系统已成为 圆通快递高效运作的最大底气。 多场景AI应用的协同发力，使圆通在高并发业务场景下保持服务稳定性，实现了提质降本增效，亦为 消费市场顺畅运转提供了有力支撑。 在揽派前端，圆通"业务员AI助手"可实现批量外呼、分堆播报等功能，并主动推送相关指示，助力业务 员高效完成工作任务，同时，通过该系统智能路径规划，可减少配送延误与错派。此外，AI助手可助 力新员工快速掌握业务流程，降低培训成本。数据测算，该助手每日可帮助业务员节省30-60分钟工作 时间，直接提升终端服务效率。 中转环节，"数字孪生"系统已在圆通全国集运 ...

人民网记者欧阳易佳 世界东方，中国西部，岷江上游，矗立着一座跨越两千多年时光的水利丰碑——都江堰。公元前256 年，秦国蜀郡太守李冰率众凿山开江，垒石为堋，以"乘势利导、因时制宜"的哲思驯服岷江，造就"水 旱从人，不知饥馑"的天府之国。 而今，这座灌溉面积超千万亩、惠泽数千万人口的古老生态灌区，正将"尊重自然、因势利导"的古老智 慧，注入数字时代的磅礴脉动，谱写守护天府安澜的新篇章。12月中旬，人民网记者跟随水利部、四川 省水利厅调研组深入四川省都江堰灌区进行实地调研。 在灌区千余处关键断面，计量设施如同精密的"水表"，实时感知水流。近三百座关键闸门经过自动化改 造，告别了人工操作开关闸门的模式。 都江堰灌区指挥中心主任李劲介绍，在应对2024年都江堰鱼嘴近十年最大洪峰过境，2025年成都市中心 城区极端暴雨过程中，数字孪生系统提前模拟出水流路径与工程响应，为现实中的安澜度汛提供了精准 导航。"我们通过打造'一云、一网、一中台、一平台'信息化架构，灌区汇聚了海量数据（603138）资 源。已完成渠首26.7平方公里实景建模，接入了百余个视频监控与安全监测设备，并依托共享的水利模 型与算法平台，基本完成了'算据 ...

12月26日，山东能源新能源集团西北新能源区域集控运维中心启用仪式圆满举行。作为区域新能源运维的"智慧中枢"，该集控运维中心整合区域级调度、生 产监控、运营管理等核心功能，构建起一体化集中监视控制平台。目前，中心已成功接入内蒙古、甘肃两地11个风、光、储电站项目，搭建覆盖基建、生 产、运营全生命周期的一体化管控体系，标志着区域内新能源场站运维正式迈入"集中管控、智能协同、精准高效"的数字化新阶段。 此次启用的集控运维中心，深度集成集中监控系统、智能巡检系统、三维数字孪生系统三大核心系统，实现新能源运维"集中化、智能化、精细化"深度转 型，为行业高质量发展树立了可复制、可推广的标杆样板。 值得关注的是，该集控运维中心拥有自主完全知识产权，技术实力广受认可。中心已斩获软件著作权9项、发明专利6项，发表科技核心期刊论文3篇、普通 期刊论文6篇，完成查新及成果鉴定1项；其配套的白银150万千瓦新能源基地集控运维平台建设案例，荣获第4届电力数智化转型技术创新应用评选"智慧电 厂创新应用案例奖"。同时，中心数据中心机房通过山东省公共安全检验检测技术有限公司评测，符合B级数据中心机房标准，为系统稳定运行筑牢安全屏 障。 集 ...

天津港引航员范起瑞每个工作日都要面对同样的挑战：将长达数百米、承载数万吨货物的巨轮，安 全、精准地引入港口。但与从前的"老港口"相比，他的工作方式已截然不同。登轮前，智能调度系统已 为他规划好最优登离轮路线和时间；在风浪中摇晃的登船软梯旁，救生机器人负责保护他的安全；在码 头上，智能运输机器人来回穿梭，井然有序。货物从装卸、转运到堆放，全部通过人工智能调度；在智 控中心，整个港口通过数字孪生系统实现高精度同步运行；在不远处，巨大的风机悠悠转动……这里就 是全球首个"智慧零碳"码头。目前，昼夜运行的天津港与世界180多个国家和地区的500多个港口保持着 贸易往来，并已连续多年跻身世界港口前十强，不断刷新着开放的"速度"与"广度"。 ...

农村天地广阔，农业大有可为。习近平总书记2024年在湖北考察时强调，"发展现代农业，建设农 业强国，必须依靠科技进步，让科技为农业现代化插上腾飞的翅膀"。同年召开的中央农村工作会议提 出，"推进农业科技力量协同攻关，加快科技成果大面积推广应用，因地制宜发展农业新质生产力"。实 践中，科技创新已经成为推动农业现代化、发展农业新质生产力的核心要素。从引领农业生产力跃迁、 产业体系整体升级，到推动农业发展理念转变，科技创新对推进农业现代化的关键性作用日益凸显。 三是农业产业组织和利益联结方式由"松散连接"转向"高效协作"，推动协作逻辑从"孤立系 统"向"开放生态"发展。在组织方式上，数字孪生系统可覆盖全产业链，实现从生产到消费全程的可视 化、可控化，促使农业与现代工业、服务业以及数字经济深度融合，实现多元主体精准分工和高效协 作。在利益联结上，科技创新能够吸引和撬动社会资本，促进技术普惠应用，赋能人才技能提升，构建 资金、技术、人才和信息顺畅流动的开放生态。 推动发展理念深度变革 就生产力三要素来看，科技创新及其引发的科技革命和产业变革，正在重塑劳动者、劳动资料和劳 动对象。一是劳动者从传统农民向高素质农民跃升。传 ...

Core Viewpoint - Guangzhou Mingluo Equipment Co., Ltd. has successfully established its first large-scale project in Mexico, providing a flexible welding production line for BMW's new factory, showcasing its leadership in the intelligent manufacturing sector for the automotive industry [3][12]. Group 1: Company Overview - Mingluo Equipment focuses on providing intelligent production lines that enhance efficiency and reduce costs for automotive manufacturers, positioning itself as a key player in this niche market [3][8]. - The company was founded with the vision of creating high-end automotive equipment in China and has been dedicated to this goal for over 17 years [6][7]. Group 2: Digital Transformation - The decision to pursue digital transformation was pivotal for Mingluo, transitioning from providing production line blueprints to developing a digital twin system that optimizes manufacturing processes [7][8]. - The upcoming "Standard Robot Magic Island" is set to revolutionize automotive production by integrating over 80 core workstations, improving production efficiency by 50% and reducing labor costs by 80% [8]. Group 3: Global Expansion - Mingluo's business has expanded to over 20 countries, with international sales accounting for over 90% of its revenue, securing contracts with major automotive brands like Mercedes-Benz and Toyota [9][12]. - The company has successfully transitioned from being a follower in the international market to a leader, emphasizing the importance of exporting technology and production standards for long-term competitive advantage [12][13]. Group 4: Innovation and R&D - Mingluo invests 6% of its annual revenue, exceeding 100 million yuan, into research and development to create differentiated products and maintain a competitive edge [13][14]. - The company has developed an industrial IoT platform that connects over 200 intelligent production lines and 40,000 devices globally, significantly reducing investment waste and lowering manufacturing costs [14][16]. Group 5: Future Directions - The company aims to deepen its focus on intelligent manufacturing, particularly in creating a third-party application evaluation center for automotive manufacturing equipment [16]. - Mingluo believes that there are substantial opportunities in manufacturing standards, management systems, and supply chain operations, which are crucial for enhancing China's manufacturing capabilities [16].

Core Insights - Smart agriculture is a key focus for modern agricultural development, with Qingdao City making significant innovations in building smart agricultural platforms, enhancing intelligent farming equipment, and developing digital agriculture and biological breeding [1] - The "Qingdao Plan" for smart agriculture has become a national benchmark for addressing challenges in increasing grain production, improving agricultural efficiency, and enhancing product quality [1] Smart Agriculture Development - Qingdao has introduced the Beidou navigation system in agricultural machinery to improve planting accuracy and efficiency, addressing issues like uneven sowing and land leveling [2][3] - The integration of IoT devices allows for real-time monitoring of soil moisture and crop conditions, leading to more efficient irrigation practices [3] - The use of smart machinery has resulted in a 10% to 20% increase in corn and wheat yields, with wheat yields reaching up to 800 kg per mu [3] Technological Innovations - The introduction of drones for crop protection has significantly reduced labor and time costs, with one drone capable of covering large areas in a fraction of the time previously required [5] - Qingdao has established a comprehensive agricultural data center, "Qingnong Yunnao," which processes over 80 million agricultural data entries daily, enhancing decision-making and management efficiency [5] Livestock and Breeding Innovations - Smart management systems in poultry farming allow a single worker to manage 150,000 chickens, drastically reducing labor costs and improving resource utilization [6][7] - The use of digital breeding management systems ensures traceability and enhances the quality of livestock, with a focus on high-grade beef production [9][10] Aquaculture Advancements - The launch of the "Guoxin 1" smart fishing vessel marks a significant advancement in deep-sea aquaculture, with a 90% mechanization rate and a 30% automation in decision-making, leading to improved production efficiency [11] Seed Industry Development - Qingdao is promoting seed innovation through supportive regulations, aiming to enhance the quality and yield of domestic seed varieties [12][13] - Companies are utilizing advanced techniques like gene detection and AI to shorten breeding cycles and improve seed quality, with significant reductions in time and costs [13][14] Cold Chain Logistics - The establishment of cold chain logistics facilities aims to reduce post-harvest losses and enhance the value of agricultural products, facilitating a comprehensive digital management system from production to consumption [14]

Core Insights - The establishment of the first batch of leading intelligent factories in China marks a significant advancement in the manufacturing sector, with 15 factories selected as benchmarks for future development [1][3] - These leading intelligent factories demonstrate over 80% smart penetration in their construction scenarios, showcasing their capability for full-process intelligent decision-making and driving collaborative development across the supply chain [3][6] Group 1: Overview of Leading Intelligent Factories - A total of 7,000 advanced factories and 504 excellent factories have been built in China, with 15 identified as leading intelligent factories [1] - The leading intelligent factories serve as a model for the transformation and upgrading of the manufacturing industry, providing replicable smart manufacturing models for enterprises [3][4] Group 2: Specific Companies and Their Innovations - Nanjing Steel Co., Ltd. has implemented a comprehensive digital twin system that integrates 26 production lines, allowing for clear tracking of production data and reducing inventory from 15 days to 5 days, significantly lowering capital occupation by two-thirds [6][8] - The use of artificial intelligence models in Nanjing Steel's production processes has improved efficiency, with a 98.5% on-time order rate and a 9% reduction in total industry costs [10] - Other notable companies among the 15 leading factories include Baoshan Iron & Steel, Shanghai Aerospace Equipment Manufacturing, and Gree Electric Appliances, each contributing unique innovations to their respective sectors [4][6]

Core Insights - The first batch of leading smart factories has been announced in China, with 15 selected as representatives of the highest level of manufacturing development, showcasing significant benchmark effects for industry transformation and upgrading [1][3] Group 1: Smart Factory Development - A total of over 7,000 advanced factories and 504 excellent factories have been established in China, with 15 identified as leading smart factories [1] - Leading smart factories exhibit core capabilities of "full-process intelligent decision-making," driving collaborative development across upstream and downstream sectors [3] Group 2: Impact on Industry - Each leading smart factory has reportedly replicated and promoted its model to over 100 other factories, becoming a driving force for industry transformation [5] - The smart factories have achieved an intelligent penetration rate exceeding 80% in their construction scenarios, accelerating the adoption of high-value chain links [3] Group 3: Digital Twin Systems - A digital twin system has been implemented in steel production, allowing for detailed tracking of production processes and material relationships, significantly reducing inventory days from 15 to 5 [8][10] - The digital twin system enhances collaboration with upstream suppliers, reducing capital occupancy by two-thirds [10] Group 4: Automation and Efficiency - Advanced models are utilized to automate the steel rolling process, minimizing human intervention and ensuring precise control over material thickness [12] - A comprehensive inspection system, including laser scanning and CT imaging, ensures the quality of produced steel plates, achieving a 98.5% order fulfillment rate and reducing total industry costs by 9% [14][16] Group 5: Cost Reduction and Profit Increase - The implementation of multi-modal data perception has led to 100% digital control of key processes and equipment, resulting in cost savings exceeding 500 million RMB for the company [16]

Core Viewpoint - The article emphasizes the transition of mining from "intelligent" to "wisdom" through the integration of AI technologies, enhancing the understanding of logical relationships and enabling autonomous reasoning beyond existing data limitations [1][11]. Group 1: Technological Advancements - A range of new technologies and equipment focusing on intelligent coal mining, green low-carbon transformation, and efficient utilization were showcased at the recent China International Coal Mining Technology Exchange and Equipment Exhibition [2]. - The intelligent equipment has significantly improved the industry's landscape, with China's comprehensive mining, tunneling, and transportation equipment now leading globally [4]. - Major advancements in intelligent mining have been achieved, including the establishment of the world's first 8.8-meter ultra-high intelligent working face and the production efficiency increase of 16.7% in thin coal seam operations [4]. Group 2: Current State and Challenges - As of April this year, there are 1,806 intelligent mining working faces across 907 coal mines, with intelligent mining capacity exceeding 50% [4]. - Despite progress, the coal mining industry faces challenges such as uneven construction progress, unstable foundations, and low operational levels, with high-grade intelligent working faces operating below 60% of the time [6]. Group 3: Human-Machine Collaboration - The fundamental goal of mining intelligence is to reduce personnel, enhance safety, and improve efficiency, but current intelligent equipment faces reliability and data interaction issues [8]. - Human-machine collaboration is seen as a viable solution to enhance operational reliability, combining geological data and intelligent equipment [9]. Group 4: AI Integration - AI is leading a new trend in the mining industry, enabling deeper integration of artificial intelligence across production processes [11]. - The application of AI in risk management has resulted in significant safety improvements, with a 92% reduction in the death rate per million tons and a 40% increase in employee efficiency [11]. - Future developments in AI and embodied intelligence are expected to transform traditional mining equipment into autonomous intelligent agents capable of decision-making and operational execution [12].