Resilience investment portfolios
Combinations of hardening, redundancy and backup projects are selected to reduce expected service loss across scenarios within a budget.
GCRI · 关键基础设施
Optimisation and operations research choose the best use of limited budgets, crews and capacity. In this field they prioritise investments in resilience, schedule restoration and plan network expansion under uncertainty.
Optimisation and operations research develop mathematical methods for allocating resources and making decisions under constraints. They support planning and logistics in complex, interconnected 系统. In 关键基础设施 and cities and built environment, optimisation supports prepositioning of supplies, network investment and recovery sequencing. Robust formulations help choose options that perform acceptably across many scenarios. The canonical description is on STEM Commons.
Combinations of hardening, redundancy and backup projects are selected to reduce expected service loss across scenarios within a budget.
Repair crews and sequences are optimised to restore critical services fastest given dependencies and access.
Stochastic and robust optimisation choose network expansions that perform acceptably across many demand and hazard scenarios, not only the expected one.
西欧的夜间灯光、人口密度和洪水水体,来自 NASA GIBS。每个图层均标有各自日期。
交互式地图需要JavaScript;图层列表和来源见下文。
图层 3
本页面的基础设施暴露
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最新可用
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap贡献者 (ODbL) · Natural Earth
正在加载最新的NASA影像。
拖动以移动。按住 Ctrl 或 ⌘ 并滚动、双指缩放或使用按钮缩放;悬停可查看指针下的数值;重置可返回该区域。
基础设施风险暴露,以西欧为取景。NASA 发布的卫星和模型产品,各带自己的日期。它们是指标,而非对任何地点的评估。
图层与日期
Datasets and records used by optimisation and operations research on this platform, with the role each plays and the label its values carry. Sources are listed in 来源登记册.
| 数据 | 角色 | 标签 |
|---|---|---|
| Project costs | 备选方案 | 估算 |
| Hazard and failure scenarios | 不确定性 | 模型生成 |
| Network models | Constraints | 已发布统计 |
| Crew and spares inventories | 资源 | 已声明 |
团队遵循该方法时会使用的界面:其指标、状态与决策。名称为示例,数值仅作示意。
Critical infrastructure · Optimisation for infrastructure · Run R-3239
| 能力 | 0 | 21 | Binding |
| Budget | 0 | 2.8 | Binding |
| 服务级别 | 1 | 0 | Slack |
Solutions are checked for feasibility, tested through simulation and compared with historical decisions. 敏感性分析 examines how results change with parameters.
| 核查 | 如何开展 |
|---|---|
| Scenario coverage | Solutions are tested on scenarios not used for optimisation |
| Constraint validation | Constraints are confirmed with operators |
| Solution stability | Small changes in inputs are tested for large changes in the chosen portfolio |
Optimal solutions can be fragile when assumptions are wrong. Objectives may omit values that are hard to quantify.
A 危害足迹 会摧毁每一层中位置相同的资产;碎片化、层间依赖和幸存部分的过载随后使失效蔓延。3D 视图按深度将各层分开。这是使用明示示例数值的教学模型,不是预测。本页地图显示的是西欧;模型本身并不局限于某一地点。
控制措施
读数
| 步骤 | 交通运行(%) | 电力运行(%) | 电信运行(%) |
|---|---|---|---|
| 0 | 100 | 83 | 83 |
| 1 | 94 | 83 | 83 |
| 2 | 78 | 83 | 83 |
| 3 | 56 | 83 | 78 |
| 4 | 39 | 78 | 67 |
| 5 | 39 | 56 | 61 |
| 6 | 39 | 33 | 61 |
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
贯穿六大支柱,由 Nexus Consortium 牵头
Assembled from the Nexus Standards area profile 关键基础设施与关键实体: the hazards it names, the 系统 and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
系统与耦合
控制措施
NS-0 章程与原则NS-3 风险记录 UNI(语法、旧编码对照、分配机构)NS-9 情境 UNI(部署、实例、计划实例)NS-10 政策和条款(机器可读的义务:定义、约束、评估和执行)NS-11 验证与监测(证据、证明、零信任符合性观测)NRS-H61 危害族:级联失效(NHS-1 sys.cascade)NRS-H94 危害族:系统性网络事件(NHS-1 cyber.systemic-cyber)NRS-H107 危害族:数字基础设施集中与单一化(NHS-1 tech.digital-concentration)NRS-K31 领域包概况:国家网络韧性(DOMAIN-031)NRS-K36 领域包概况:关键基础设施(DOMAIN-036)NRS-K48 领域包概况:金融系统韧性(DOMAIN-048)观测
示例地理范围
系统科学与建模 stewards optimisation and operations research for the Consortium and reviews how it is applied across platforms.
模型、其假设、数据和不确定性,以科学家或工程师会核查的形式呈现。结构遵循已发表的方法。所取数值仅为示意,不是研究发现。
The couplings between the systems in optimisation for infrastructure: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
报告 is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
切勿发送个人数据、敏感基础设施细节或您无权分享的任何内容。贡献在使用前会经过审查;发送贡献不赋予署名权或编辑权,赞助也绝不能换取研究结论。
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