虚拟电厂规模化发展观察:成功部署的实际经验-Insights into Scaling Virtual Power Plants Real-World Findings for Successful Deployment1 Insights into Scaling Virtual Power Plants Real-World Findings for Successful Deployment January 2025 Angela Long (Rockcress Consulting) Ryan Long (Rockcress Consulting) PacifiCorp Stacy Miller, U.S. DOE Tolu Omotoso, NRECA Tomas Smith, Puget Sound Energy 5 5 REAL-WORLD FINDINGS FOR SUCCESSFUL DEPLOYMENT Insights into Scaling Virtual Power Plants Executive Summary locationality to their VPP). PGE is enhancing operations at the grid edge for flexibility. This involves real-time computation and communication at the device level to manage customer usage patterns dynamically10 积分 | 113 页 | 8.01 MB | 22 天前3
中国移动国际:5G 智慧港口解决方案 China Mobile International - 5G Smart Port Solution(30页 PPT)of “Digital Network Management and Smart Service operation“ for the Smart Port Platform , presents real operation scenarios such as port communication and perception network, loading, unloading, transportation to complete remote loading and unloading of containers ; (2) Crane Monitoring : Real-time monitoring of port machinery operating status information, with data collection, analysis, management in multiple dimensions with the help of 5G network, video, sensor and control technology Real-time synergy with the terminal operation system (TOS), enabling remote container loading and unloading20 积分 | 30 页 | 6.06 MB | 1 月前3
2025年面向具身智能的大小模型协同算法研究和实践报告18 技能泛化:组合泛化实现未知技能的学习 n RA-P (IROS 2025, NeurIPS 2024 OWA): composable generalizable agents in real world n Decompose complicated tasks into fine-grained primitive skills, generalizable to new physical 2025 技能泛化:组合泛化实现未知技能的学习 n RA-P (IROS 2025, NeurIPS 2024 OWA): composable generalizable agents in real world n Decompose complicated tasks into fine-grained primitive skills, generalizable to new physical 2025 技能泛化:组合泛化实现未知技能的学习 n RA-P (IROS 2025, NeurIPS 2024 OWA): composable generalizable agents in real world n n Decompose complicated tasks into fine-grained primitive skills, generalizable to new20 积分 | 37 页 | 4.24 MB | 1 月前3
2025年电子制造业净零转型:制造设施能源效率提升策略与实施框架研究报告(英文版)lines, processes, and equipment. Employing advanced diagnostic tools, such as thermal imaging and real-time energy monitoring, enhances the accuracy and depth of the audit. These tools help uncover hidden controls. Variable frequency drives (VFDs) can further reduce energy waste by adjusting air output to real-time demand. Installing local boosters for equipment requiring higher pressure helps avoid raising overall energy use. ii All payback period data and estimates are based on practical experience from real-world cases. In individual cases, the actual payback time can vary significantly, as it depends on0 积分 | 32 页 | 990.55 KB | 6 月前3
GSMA:2025中国移动经济发展报告(英文版)Public administration Manufacturing Agriculture Accommodation and food services Construction and real estate $2,000 $1,500 $1,000 $500 $0 2024 2025 2026 2027 2028 2029 2030 10% 6% 11% 13% 18% which offers 3 Gbps downlink and 200 Mbps uplink speeds, alongside AI- enhanced features such as real-time translation and cloud computing services. The operator aims to have more than 20 million 5G-Advanced logistics. In smart manufacturing, China Mobile has deployed AI-driven industrial IoT platforms that use real-time data from 5G-connected sensors to optimise production lines. In a partnership with a major automotive10 积分 | 38 页 | 2.78 MB | 7 月前3
2025年度全球智能制造现状报告(第十版)(英文)Systems (MES) track and document the transforma- tion of raw materials into finished goods, providing real-time production manage- ment to drive enterprise-wide compliance, quality and efficiency. Distributed Monitoring provides seamless connectivity to machines on the plant floor, delivering transparent, real-time operational KPIs like Overall Equipment Effectiveness (OEE). Design & Visualization tools that acquire, process and monitor operating data. Smart Manufacturing is the intelligent, real-time orchestration and optimization of business, physical and digital processes within factories20 积分 | 26 页 | 14.92 MB | 6 月前3
企业大数据解决方案-大数据企业架构分析的数据归档 • 根据特定属性来查找 log, 可用于维护站点 的 一致性,保护用户免受垃圾邮件影响 13 Hadoop Map/Reduce 实时分析 — 真实情况 • Real time(msec/sec) • Near real time(Min/Hours) • Batch(Days..) Hadoop/Hive..Not realtime. Many dependencies. Lots of that go through Hadoop [at Yahoo!], the latency is about fifteen minutes. … It will never be true real-time..” (Yahoo CTO Raymie Stata) "MapReduce and other batch-processing systems cannot process small10 积分 | 21 页 | 3.29 MB | 7 月前3
企业研发生产一体化总体规划方案terms on purchased and leased real estate, furniture and fixtures Increase utilization of real estate Improve capacity/ demand planning processes and tools Improve real estate design and develop- ment (administration, security, energy, HVAC and maintenance) Improve real estate selection, acquisition and contracting processes Improve real estate improvement and deployment processes Improve terms with business models with low real estate requirements Reduce number of data centers, branch offices, dealerships, retail outlets, etc. Outsource business functions Increase use of leased real estate Improve terms10 积分 | 155 页 | 9.20 MB | 7 月前3
油田数字化转型及智慧油田建设方案(35页 PPT)115367 SPE Paper 111990 SPE Paper 127517 SPE Paper 127520 New Tool Manages Big Data in Real Time, AAPG Explorer, January 2016 ADNOC Shortfall identification and management cycle time improved enabled by the OSDU Data Platform. − ‘’Realtime as the standard”: Making sure that any amount of real time data can be handled by the OSDU Data Platform and linked Edge facilities. − ‘’Support for End-to-End kicks for client data False alarm ratio is less than 8% Automatic Early Kick Alarming Real-time Drilling Data Physics based modeling Time-series Data mining 04 AI 实例:早期井涌预警系统10 积分 | 35 页 | 11.60 MB | 1 月前3
2025年空间智能研究报告具身智能目前最⼤的瓶颈在于数据,各层面均处于早期阶段,如何权衡 真实数据和模拟数据,已成为⾏业内发展路径差异的关键分歧 18 信息来源:量⼦位智库,1)Sim2Real(Simulation to Reality)是指将⼈⼯智能模型从模拟环境(simulation)训练中获得的知识和能⼒转移到现实世界(real world)中应用的过程 数据构成 精简度 • 数据规模小:具身智能的数 据积累需要从零做起,数据 稀少,尤其端到端的⾼质量 误差积累 • 成本⾼速度慢, 需雇佣⼤量数采 ⼈员,搭建采集 环境,以⼈/天 为单位采集数据 • 基于虚拟场景模 拟现实中的物理 规则或特定任务 环境(如⼯厂、 家庭) • 中,Sim2Real1的 分布偏移问题难 以解决 • 低成本且更敏捷, 仿真数据的成本、 采集速度远低于 真实数据 • 通过训练其他⼈ 类或者本体的任 务操作类视频进 ⾏学习 • 低,数据质量参 差不齐,需要⼤ 视频 数据 • 真实数据是最佳 选择,仿真数据 主要是出于数采 成本过⾼的现实 选择,⼤部分具 身智能厂商都在 同时使用真实数 据和仿真数据, 但侧重不同 • 仿真路线的核⼼ 是解决Sim2Real 中间的差距,也 需要结合少量⾼ 质量的真实数据 做数据增强 数据积累 规模 数据闭环 成熟度 空间智能概览 自动驾驶 3D⽣成 具身智能 扩展现实(XR) 世界模型 扩展现实(XR)30 积分 | 27 页 | 11.13 MB | 6 月前3
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