建筑行业正经历一场深刻的绿色变革，通过发展理念转型、持续技术创新，正逐步向节能减排转变。 一般来说，绿色建筑是指从设计、建造、使用到拆除的全生命周期中，最大限度实现节能、节地、节 水、节材，保护环境、降低污染，为人们提供健康、适用且高效的空间，最终实现建筑与自然和谐共生 的建筑形式。 建设绿色建筑，是一套贯穿设计、施工与运营的系统工程。建筑设计层面，通过科学的物理环境设计， 可显著降低对主动采暖和制冷的依赖。设备与能源层面，绿色建筑强调选用高效机电系统，并积极整合 可再生能源。 运营阶段同样蕴含节能潜力。依托智慧运维平台与AI算法，建筑能实现空调风量、照明亮度自动调 节，并通过对设备运行数据的实时监测与诊断，提前预警故障、定位能耗异常，持续提升能源利用效 率。 对普通人而言，绿色建筑带来的好处实实在在。一方面，得益于优异的保温隔热与高效设备，绿色建筑 的运行能耗通常比普通建筑低，能节省不少水电费用。另一方面，绿色建筑通过严格选用环保建材，配 备高效的新风过滤系统，能有效降低呼吸道不适与过敏风险。 推广绿色建筑，能助力实现"双碳"目标，也能赋予每个人更宜居、可持续的生活空间。 （作者为中建三局绿色低碳技术研究院 ...

在兆新股份实际运维场景中，轮式/四足巡检机器人可日夜穿梭于场站内外，持续巡检与异常复核，及 时发现并处置隐患，保障电站稳定、安全运行；四足机器人搭载灵巧手，开始承担一部分标准化的现场 作业：更换保险丝、插拔接头、开合柜门、配合完成逆变器基础检修与消缺；清洗机器人则在更合适的 时间窗口完成清洗作业，尽量避开发电高峰，减少发电量影响、提升发电收益。与此同时，自动驾驶皮 卡作为机动平台，把四足机器人和作业装备带到更偏远、更分散的站点，形成可调度的"移动作业单 元"，将巡检、维修、清洗串成闭环，让单一机器人覆盖更大范围的运维半径。 在具体实践中，以国内某分布式光伏集群试点为例，初步应用上述AI智慧运维系统的电站，通过精准 安排清洗时间（如板面积灰已经开始显著影响发电量），并在电价高峰前完成关键消缺，单是运维策略 优化就能带来3%至5%的发电量提升。 兆新股份表示，"AI+机器人"在新能源运维领域的融合将重塑新能源资产运维新格局。公司力争于2026 年底前成为A股光伏新能源智慧运营头部服务商，推动资产运营效率提升30%以上、收益增强3%至 5%。 展望未来，兆新股份表示，公司将以智慧运维为抓手，推进能力平台建设与规模化 ...

在"双碳"目标与新型电力系统建设的浪潮下，新能源产业正经历从"规模扩张"向"质量提升"的关键转 型。当前新能源总装机量迈入数十亿千瓦级，存量电站进入集中运维与提质改造的高峰期，然而行业竞 争逻辑已悄然生变——装机规模竞争的红利期已经过去，新能源电站已从原来的装机规模竞争转变为存 量运营。 12月19日，在兆新股份（002256）Z.O.O新能源智慧运维解决方案发布会上，董事长兼总经理刘公直 以"AI+机器人重塑运维新格局"为核心主题，表示：面向新能源存量运营时代，兆新将以"人类工程师智 慧+AI运维大脑+机器人执行"为实现路径，构建智慧运维体系，贯通数据、算法、智慧运维设备与现场 执行，全面提升新能源电站全生命周期运营效率，并将运维能力产品化、平台化，对外输出。 作为面向新能源电站的智能运维解决方案，"Z.O.O"体系的三大关键词彰显其技术内核与价值优 势："Zero-distance"赋能设备级实时感知与诊断，让每一块组件、每一台逆变器的运行状态尽在掌 握；"Omni-connected"实现场站、设备、人员、交易系统、政府平台的全域数字化互联，构建一体化管 理网络；"Orchestrated"借助AI算法 ...

（来源：广西能源集团） 在广西能源股份供电分公司的输电线路运维领域，一项以"党建+数字化转型"为核心的创新实践正在悄然改变传统的运维模式。一支由党员技术骨干领衔 的"输电线路所创新智慧工作室"正式投入运行，将无人机、云计算、智能监测等前沿技术与党建工作深度融合，为保障电网安全运行注入了新的智慧动 能。 党员带头， 技术攻坚破解运维难题 "过去巡检一条线路需要翻山越岭好几天，现在通过无人机激光雷达，几个小时就能完成高精度三维建模和数据采集。"工作室领衔人杨川介绍道。作为输 电线路所所长，他带领由党员技术骨干组成的攻坚团队，瞄准输电线路巡检效率低、故障定位难、安全隐患发现滞后等痛点，开展技术攻关。 工作室创新性地构建了"空中+云端+地面"三维智能运维体系。在空中，无人机搭载激光雷达设备，实现对线路走廊的全方位精细化巡检；在云端，智能 分析平台对海量数据进行深度挖掘，实现故障预警和精准定位；在地面，分布式高电位故障定位系统和网络视频监控系统构成全天候防护网。 智慧赋能， 四大系统构筑安全防线 走进工作室的监控中心，大屏幕上实时显示着线路巡检状况、无人机巡检画面和各类监测数据。这里汇聚了四大智慧运维系统： 1 无人机 ...

Core Viewpoint - The implementation of a GIS-based pipeline management platform by China Petroleum's Jinzhou Petrochemical significantly enhances operational efficiency and safety in pipeline management through data-driven decision-making and real-time monitoring capabilities [1][2]. Group 1: Technology and Innovation - The GIS pipeline management platform has been developed over 10 years, transitioning from traditional methods to a data-driven approach, allowing for better management of over 320 kilometers of pipelines [1]. - The platform integrates 159 management information items into 21 professional layers, providing a comprehensive "one-stop" management solution for the entire lifecycle of the pipeline [1]. - The platform's capabilities include a 19-level zoom real-world map that visually presents pipeline routes, enhancing operational clarity [1]. Group 2: Operational Efficiency - In the 2024 pipeline overhaul, technicians utilized the platform to complete the internal inspection routing communication for seven pipeline segments in just one day, significantly improving efficiency compared to traditional methods [1]. - The platform's data-driven advantages have led to a multiple-fold increase in operational efficiency [1]. Group 3: Future Developments - By 2026, Jinzhou Petrochemical plans to deploy 90 smart testing piles for real-time monitoring of pipeline potential, further enhancing the safety of energy transportation [2]. - The platform has accumulated nearly 10 years of pipeline health data, allowing for clear traceability of risk point management even decades later [2].

Core Viewpoint - The Central Economic Work Conference emphasizes the importance of innovation-driven development and the cultivation of new growth drivers for the economy in the coming year [1] Group 1: Innovation and Development - The conference calls for strengthening the role of enterprises as innovation subjects and implementing a new round of high-quality development actions for key industrial chains [1] - The company, 科安达, plans to deepen its focus on intelligent technology in rail transit, leveraging the advantages of the Guangdong-Hong Kong-Macao Greater Bay Area's international innovation center [1] Group 2: Collaboration and Ecosystem - 科安达 aims to establish a collaborative innovation system involving industry, academia, research, and application, enhancing cooperation with universities and research institutions to build an AI intelligent ecosystem for rail transit [1] - The company is committed to concentrating its core resources on "intelligent monitoring + smart operation and maintenance" to ensure efficient and safe rail transit operations [1] Group 3: Technological Advancements - In the context of green and low-carbon development becoming mainstream, 科安达 focuses on technological iteration and upgrades to strengthen the technical barriers for safe travel [1] - The company will enhance its core competitiveness in the field of intelligent monitoring for rail transit through the deep integration of technological innovation and industrial demand, particularly in artificial intelligence and smart sensing technologies [1]

柳丽华介绍医院"一院三区"及医教研协同进展，肯定了后勤在推进精益管理、节能降耗方面的成效。她 强调，面对"健康中国2030"与"双碳"战略，未来医院将围绕节能降耗、智慧运维与环境友好三大方向， 持续提升绿色建设与运营水平。 日前，由山东省医院协会主办、山东大学齐鲁第二医院承办的山东省医院协会绿色医院分会成立大会暨 首届绿色医院建设与创新发展学术交流会在济南召开。山东省医院协会会长赵升田、齐鲁二院党委书记 柳丽华出席会议并致辞。齐鲁二院党委副书记孙永国当选山东省医院协会绿色医院分会主任委员。 赵升田指出，绿色医院建设已从"选择题"变为"必答题"，医疗机构既面临规划与运营的新机遇，也需要 应对系统整合等多重挑战。他希望分会汇聚专业力量，聚焦关键问题，树立行业标杆，推动山东省绿色 医院建设迈上新台阶。 孙永国以《城市更新背景下大型医院空间活化与更新探索与实践》为题，将城市更新的宏大命题，落实 到了医院建筑的具体空间中，以"有机更新"的理念，推动大型医院从粗放扩张转向与城市深度融合、共 生发展的精细化发展新模式。 中国医院协会后勤管理专业委员会主任委员、中国医学科学院北京协和医院原党委副书记柴建军作《医 疗机构后勤高 ...

Group 1: Q3 Earnings Presentation Announcement - The company will hold a Q3 earnings presentation on November 18, 2025, from 11:00 to 12:00 via the Shanghai Stock Exchange Roadshow Center [4][5] - Investors can submit questions for the presentation from November 11 to November 17, 2025, through the Roadshow Center or via email [2][5] - The presentation aims to provide insights into the company's development strategy, financial status, and operational results [3] Group 2: Cooperation Agreement with Shanghai Jiao Tong University Sichuan Research Institute - The company signed a framework cooperation agreement with Shanghai Jiao Tong University Sichuan Research Institute on November 7, 2025 [10] - The agreement focuses on resource sharing, collaborative innovation, and enhancing technological capabilities in areas such as smart inspection and talent cultivation [12][13] - The cooperation will not affect the company's business independence and is expected to enhance its market competitiveness [19]

Group 1: Wind Power Industry Overview - As of September 30, 2025, the total installed wind power capacity in China reached 581.6 GW, accounting for 15.6% of the total power generation capacity, with thermal power at 40.4% [2] - In the first nine months of 2025, the newly added wind power grid-connected capacity was 61.1 GW, representing a year-on-year increase of 56.2% [2] Group 2: Tendering and Orders - By September 30, 2025, the new tender volume in the domestic public bidding market was 102.1 GW, a decrease of 14.3% compared to the same period last year [3] - The company had a total of 38,861.14 MW in external pending orders, with 31,659.79 MW from units of 6 MW and above [4] - The total external orders amounted to 49,873.87 MW, with overseas orders at 7,161.72 MW, reflecting a year-on-year growth of 18.48% [4] Group 3: Self-operated Wind Farms - As of September 30, 2025, the total equity installed capacity of the company's self-operated wind farms was 8,688 MW, with 4,062 MW under construction [4] - The average utilization hours for self-operated wind farms in the first nine months of 2025 were 1,730 hours [4] Group 4: Technological Advancements - In 2024, the company launched a solution for unmanned operation of new energy stations, enhancing operational efficiency by over 25% through automation and AI technology [4] Group 5: Environmental Protection Measures - The company adheres to environmental protection laws and has established a comprehensive system for ecological protection throughout the project lifecycle, including various management regulations [4]

Core Insights - Shenzhen Metro Group has showcased innovative technologies such as muon imaging and intelligent repair robots, enhancing safety and efficiency in tunnel construction [1][2] - As of the end of 2024, there are 58 cities in mainland China with urban rail transit, totaling over 12,000 kilometers of operational track, with Shenzhen ranking fifth in operational mileage [1] - Shenzhen's metro network has been built and operated at a high level over the past 20 years, driven by innovation and the adoption of smart technologies [1] Technological Innovations - The muon imaging device developed by Shenzhen Metro Group and universities can detect geological features and provide critical decision support for safe construction [2] - The world's largest rectangular shield tunneling machine, "Dayu Juejin," has been deployed in Shenzhen, utilizing multiple smart technologies to enhance urban construction solutions [2] - The first automatic driving system detection vehicle in China has been fully applied in Shenzhen's metro lines, significantly improving construction efficiency and safety [2] Smart Operations and Maintenance - The Gangxia North Station, the largest single rail transit project in China, features advanced smart technologies such as real-time crowd monitoring and facial recognition for ticketing [3] - At the Science Museum Station, drones and high-precision cameras are used for automated inspections, achieving a fault detection rate of over 93% for rail vehicle components [3] - The Ministry of Transport and other departments have issued guidelines for the widespread application of artificial intelligence in the transportation sector by 2027, aiming to establish a comprehensive AI model system [3] Future Opportunities - The introduction of a mobile intelligent heavy-load repair robot system in Shenzhen Metro represents a transformative opportunity for high-density rail transit cities [4] - Shenzhen Metro is expected to become a source of new scenarios and demands for smart operations and maintenance, driving the development and application of artificial intelligence technologies [4]