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郑州:从千年商都到算力之城
Shang Hai Zheng Quan Bao· 2026-02-11 17:56
◎记者 王乔琪 黄河之滨,天地之中。郑州——这座坐拥千年商都底蕴、素有"九州腹地,十省通衢"之称的国家中心城 市,因商贸而兴,因交通而盛。 在数字经济时代,郑州锚定全国重要"数仓、数纽、数港"定位,以算力为笔,绘就新时代高质量发展的 中原图景,完成从"千年商都"到"算力之城"的历史性跨越。 "郑州历史悠久、活力涌动、开放包容、实力强劲,在推动城市数字化转型和产业数字化升级深度融合 上具有良好基础。"河南省委常委、郑州市委书记安伟表示,当前,郑州以智慧城市建设为牵引,全力 构筑算力支撑新底座,聚力打造产业集聚新高地,着力拓展融合发展新场景,倾力营造一流营商新环 境,努力在新一轮科技革命和产业变革中赢得主动、赢得未来。 算力何以成为郑州"必答题" 在全球数字经济浪潮和人工智能革命的背景下,算力已成为继热力、电力之后的关键生产力。中国信通 院测算显示,算力每投入1元,可带动3到4元的GDP增长,其对产业转型、科技创新的驱动作用日益凸 显。这场关乎未来的竞赛,郑州坚定参与,更志在领跑。 这是服务国家战略的"郑州担当"。作为建设中的国家中心城市、国家新一代人工智能创新发展试验区, 郑州肩负着在中部地区探索数字化转型路径 ...
合肥轨道“机器人军团”即将“上岗”
Xin Lang Cai Jing· 2026-01-21 17:29
Core Insights - Hefei Rail has launched a pioneering all-space robot intelligent scheduling platform, integrating drones, artificial intelligence, and big data to enhance operational efficiency in rail transport [1][3] Group 1: Robot Applications - The deployment of a "robot service group" at Yungu Road Station and USTC East Campus Station will provide integrated services such as intelligent inquiries, path guidance, safety inspections, and environmental cleaning, improving passenger experience and operational efficiency [2] - The collaboration of ground robots and aerial drones for vehicle inspections is expected to increase inspection efficiency by over 50% and achieve a detection accuracy of 96%, significantly enhancing train safety [2] Group 2: Tunnel Inspection Innovations - The introduction of track inspection robots in the tunnel section between Library Station and Swan Lake Station will enable real-time monitoring of tunnel structures and track conditions, addressing the challenges of traditional manual inspections [3] - Hefei Rail has reported 151 scene opportunities through its government platform, with 78 successfully implemented, establishing a comprehensive intelligent perception inspection system for urban rail [3] Group 3: Future Developments - Hefei Rail aims to further integrate robots with operational scheduling, maintenance, passenger services, and emergency response systems, creating a replicable and scalable smart rail application model for the national rail transport industry [3]