大型装备制造业数字化之道 基于模型的数字化企业 (MBE, Model Based Enterprise) 解决方案白皮书（修订版） 1 大型装备制造业数字化之道 西门子基于模型的数字化企业解决方案白皮书（修订版） 再版致辞 亲爱的各位读者： 2012 年 6 月 10 提高首次质量等目标。为了更好地使 MBD 数 据在产品的整个生命周期内能够有效充分地 进行利用，很多大型装备提供商、供应商通过 不同的型号项目开始研究、验证和应用 MBE (Model Based Enterprise：基于模型的企业 ) 方法，就是要基于 MBD 在整个企业和供应链 范围内建立一个集成和协同化的环境，各业务 环节充分利用已有的 MBD 单一数据源开展工 作，从而有效地缩短整个产品研制周期，改善 速制造技术突破性发展，以加强国防工业的基 础和改善美国制造企业在全球经济竞争中的地 当前，国内外大型装备制造企业的数字 化技术发展迅速，三维数字化设计技术得到 了广泛的应用，基于模型定义（Model-Based Definition，简称 MBD）的数字化设计与制造 技术已经成为制造业信息化的发展趋势。MBD 是产品数字化定义的先进方法，它是指产品定 义的各类信息按照模型的方式组织，其核心内 容是产品的几何模型，所有相关的工艺描述信

experiencing rapid development, with new methods continually emerg- ing. The evolution of deep learning-based approaches, par- ticularly Variational Autoencoders (VAE), Generative Ad- versarial Networks (GAN) advanced and enhanced image generation techniques. VAEs played a pioneering role in deep learning- based generative models. They employ an encoder-decoder architecture integrated with probabilistic graphical introduces additional input conditions, enabling the generator to generate images with specific properties based on conditional information. To address the issue that GAN models exhibit limited controllability,

the modeling aspects. The basic optimization model, the uncertainty model, and the game theo- ry-based model are discussed, respectively. Secondly, algorithms employed in the optimal operation of the PIES 别讨论了价格型和激励型综合需求响应(integrated 表 2 基于博弈论的 PIES 优化运行主要工作 Table 2 Major works of optimal operation of PIES based on game theory 文献 博弈论 特点 模型 场景 [54] 主从博弈 博弈 1 基于源−荷双侧的主从博弈 [55] 主从博弈 博弈 1 考虑用户侧的有限理性；考虑可变用 3 采用分布式计算；考虑动态能源价格； 对结构改变具有鲁棒性 图 2 基于博弈论的 PIES 优化运行 Fig.2 Optimal operation of PIES based on game theory demand response, IDR)对 PIES 决策的影响。 3 PIES 优化运行求解算法 常用的 PIES 优化运行问题的求解算法可分为

的设备在线状态监测系统架构图 Fig.10 Architecture diagram of power equipment on-line condition monitoring system based on PSIC 合方法，分析状态参量与缺陷类型、部件、严重程 度和发展趋势的关联关系。但是，输变电设备内部 数据获取方式有限，对缺陷发展过程中的时空演变 规律无法有效辨识。随着输变电设备的传感器物联 11 基于 Twin Builder 构建变压器多物理场数字孪生模型 Fig.11 Building transformer multiphysics digital twin model based on Twin Builder 8 高电压技术 2022, 48(1) 图 12 物理变压器与数字孪生变压器 Fig.12 Physical transformer LEE G, HETTIWATTE S N, et al. Calculating a health index for power transformers using a subsystem-based GRNN ap- proach[J]. IEEE Transactions on Power Delivery, 2018, 33(4): 1903-1912. [28] 吴书煜，汲胜昌，祝令瑜，等

Beyond our forecast period, an enormous amount of carbon dioxide removal (CDR) alongside nature- based solutions will be required to ensure net- negative emissions, which we estimate will only occur rise of 2.2°C above pre-industrial levels by 2100. There is an additional risk of higher warming based on new research on climate sensi- tivity not yet included in IPCC carbon budgets. — Limiting global shift from efficiency to resilience, duplicating capacity and raising costs. Confidence in rules-based governance is weakening; the WTO’s dispute settlement system remains paralysed and Security Council

2．国家电网公司客户服务中心，天津市 东丽区 300300) Multiple Time-scale Optimal Scheduling of Community Integrated Energy System Based on Model Predictive Control WANG Chengshan1, LÜ Chaoxian1, LI Peng1, LI Shuquan2, ZHAO Kunpeng2 was studied. On the basis of building detailed models of the devices, a model predictive control based two-stage scheduling strategy of multiple time-scale was developed. In the rolling optimization optimization. In the dynamic adjustment stage, the operation conditions of the devices ware adjusted based on the schedule of the rolling stage to deal with the small time-scale uncertainties of renewable

writing or reviewing policies!). CHAPTER SUMMARY/KEY TAKEAWAYS • OpenAI's ChatGPT is an AI-based chatbot that allows anyone to interact with it easily, developed by feeding it with extensive internet • ChatGPT can construct sentences based on the context of its given prompts and identify the most probable next word using statistical analysis based on its training data. • The release were a 12-year-old. You can also modify the conversation's tone, ranging from serious to playful, based on your preferences. For instance, you might want a response in the style of Bill Clinton, or request

DeepSeek-R1 背后的Insights & Takeaways：RL加持下的长度泛化 \ 推理范式的涌现 ➢ DeepSeek-R1 社会及经济效益 ➢ 技术对比探讨 ➢ STaR-based Methods vs. RL-based Methods 强推理路径对比 (DS-R1 \ Kimi-1.5 \ o-series) ➢ 蒸馏 vs. 强化学习驱动：国内外现有各家技术路线对比分析及Takeaways DeepSeek-R1 Zero: 无需监督微调SFT，纯强化学习驱动的强推理模型 DeepSeek-v3-Base (671B) DeepSeek-R1-Zero 基于规则的奖励 Rule-Based Reward 推理为中心的大规模强化学习 Large-Scale Reasoning-Oriented RL 大规模推理为中心的强化学习，提升模型数学代码能力 RL驱动下自然涌现长文本推理能力 DeepSeek-R1 技术剖析：DeepSeek-R1 Zero DeepSeek-R1 Zero: 无需监督微调SFT，纯强化学习驱动的强推理模型 ➢ 奖励建模：基于规则的奖励 (Rule-Based Reward) : 准确率奖励 + 格式奖励 ➢ 准确率奖励 Accuracy Rewards: 判断答案是否是正确的 ➢ 格式奖励Format Rewards: 规劝模型生成答案的过程是

DeepSeek-R1 背后的 Insights & Takeaways ： RL 加持下的长度泛化 \ 推理范式的涌现 DeepSeek-R1 社会及经济效益 技术对比探讨 STaR-based Methods vs. RL-based Methods 强推理路径对比 (DS-R1 \ Kimi-1.5 \ o- series) 蒸馏 vs. 强化学习驱动：国内外现有各家技术路线对比分析及 Takeaways RL 驱动下自然涌现长文本推理能力 基于规则的奖励 Rule-Based Reward 推理为中心的大规模强化学习 Large-Scale Reasoning-Oriented RL DeepSeek-R1-Zero DeepSeek-v3-Base (671B) 奖励建模： 基于规则的奖励 (Rule-Based Reward) : 准确率奖励 + 格式奖励 准确率奖励 DeepSeek-R1 技术剖析： DeepSeek-R1 Zero 9 基于规则的奖励 (Rule-Based Reward) : 准确率奖励 + 格式奖 励 推理为中心大规模强化学习：组相对策略优化（ GRPO ） + 瞄准 Reasoning 推理任务 自我迭代提升 Self-Evolution

case study. On the basis of the open-source data of Singapore, the UAM network is designed as a grid-based multi-layer route network that supports two- way traffic. The topology features of the route network UAM vehicles in Singapore’s urban airspace. Firstly, The UAM route network is designed as a grid-based network that avoids obstacles and airspace within which the aircraft is prohibited. Then, the link pre-computed routes for traffic assignment models [9, 10] to support high-density and complexity flow- based operations. 2. DATA SOURCE AND DATA DESCRIPTION To model the static obstacles in the urban airspace