Robot cell risk assessment
Each robot application is assessed for hazards from motion, tools and maintenance, and safeguards are chosen and verified against robot safety standards before operation.
GCRI · 先进产业与机器人
工业中的机器人
Robotics and automation is the technology this platform stewards for the network. It covers the design, control, safety and integration of robots in production, logistics and inspection, and how they work alongside people.
01目录
Robotics in industry in five parts.
02申请
What robotics and automation does here.
Robotics and automation design machines that sense, decide and act in physical environments. They are used in manufacturing, logistics, inspection and disaster response, and change patterns of 运营风险 and labour. In industry and robotics, work and skills and trade, resources and supply chains, automation can reduce human exposure to hazardous tasks and speed recovery operations. It also concentrates dependence on software, sensors and supply chains. The canonical description is on STEM Commons.
Vision-guided handling
Machine vision lets robots handle variable parts. Performance is tested across part variations, lighting and wear, with failure modes documented.
Collaborative workstation design
Shared workstations are designed with force, speed and separation limits and ergonomic layouts, and validated with the workers who use them.
03监测
Verification and test.
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。
Verification and test
Industry and robotics · Robotics in industry · Run R-3272
Test campaignGCRI · 先进产业与机器人
Requirements coverage
| REQ-01 safe stop | 33 | 33 | 已覆盖 |
| REQ-07 fault detection | 6 | 9 | 缺口 |
| REQ-12 timing | 26 | 18 | 已覆盖 |
方法卡
- 方法
- 机器人与自动化
- 标准
- traceability matrix
- 审稿人
- 独立
- 标签
- 模型生成
Findings by severity
04数据
该方法使用的输入。
Datasets and records used by robotics and automation 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 |
|---|---|---|
| Robot specifications | 功能 | 已声明 |
| Safety validation records | 核实 | 观测 |
| Incident reports | Failure modes | 已报告 |
05模拟器
冲击在投入产出经济中的传播。
A loss of output in one sector propagates through the technical coefficients to its suppliers and customers, and recovers at the rate you set; the coefficients are teaching values, not national accounts. Teaching model with stated illustrative values, not a prediction.
控制措施
- 最先受冲击的部门（在列表中的位置）
- 0
- 冲击规模
- 其产出的 30%
- 冲击持续时间
- 30 days
- 恢复速率
- 每天 0.08
- 模拟天数
- 180 days
读数
- 运行期间损失的产出
- 0.92% of a year’s output
- 总量与直接量之比（乘数）
- 1.59 times
- 受影响最大的其他部门
- 贸易
- 其峰值不可运行性
- 3.9%
数字、方法与来源
| 部门 | 峰值不可运行性（%） | 产出权重（%） |
|---|---|---|
| 农业 | 29.88 | 27.3 |
| 能源 | 0.23 | 15.2 |
| 制造业 | 0.53 | 17.0 |
| 交通与港口 | 3.68 | 17.1 |
| 贸易 | 3.89 | 10.7 |
| 服务 | 0.48 | 12.7 |
方法
- 投入产出分析 Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press
- 不可运行性投入产出模型 Haimes and Jiang (2001), Journal of Infrastructure Systems 7
- 动态不可运行性与恢复 Lian and Haimes (2006), Systems Engineering 9
- 不确定性扇形图（参数蒙特卡罗） Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- 单因素敏感性（龙卷风图） Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
数据
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:
- 海港 Natural Earth
- 海上咽喉要道 Nexus（按公布坐标标注的指定海峡和运河）
- 铁路 Natural Earth
- 主要道路 Natural Earth
贯穿六大支柱，由 Nexus Consortium 牵头
06验证
结果如何核查。
系统 are validated through simulation, staged field trials and conformance to functional safety standards. Operational monitoring checks performance after deployment.
| 核查 | 如何开展 |
|---|---|
| Standards verification | Safety functions are verified against applicable standards |
| Field performance | Vision and handling are tested under production conditions |
| Worker feedback | Collaborative designs are reviewed with users |
Robots may behave unpredictably in unstructured environments not covered by testing. Interaction with people raises safety and liability questions.
07方法与证据
How robotics in industry is modelled, measured and tested.
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。
系统模型
The couplings between the systems in robotics in industry: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
FAIR 指导原则 · GO FAIR 和 FORCE11W3C PROV · 万维网联盟关于一致处理不确定性的指南 · IPCCCEOS 分析就绪数据 · 地球观测卫星委员会
09管理责任
由谁维护该方法。
Advanced Industry and Robotics stewards robotics and automation for the Consortium and reviews how it is applied across platforms.
10问题
问题与解答。
What are the limits of robotics and automation in this field?
Robots may behave unpredictably in unstructured environments not covered by testing. Interaction with people raises safety and liability questions.
结果如何核查？
Systems are validated through simulation, staged field trials and conformance to functional safety standards. Operational monitoring checks performance after deployment.
本页面上的数值是真实的吗？
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
该方法还应用于何处？
维持社会运转的 规范方法页面 列出应用该方法的每个平台。
报告贡献
从本页贡献证据。
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.
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法律
法律文件。
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