机理仿真建模
基于结构、流体等物理机理模型，计算装备在不同工况下的真实运行行为。
结构分析- 流体分析
- 多物理场耦合分析
- 多体动力学分析（待上线）
- 系统建模分析（待上线）
装备数字孪生仿真引擎
让装备在数字世界中真实运行
可计算
构建设备级物理仿真模型
可校正
基于实测数据持续优化模型
可预测
面向运行阶段提供实时推理
可集成
以 API 服务接入业务系统
产品核心能力
机理仿真建模
基于结构、流体等物理机理模型，计算装备在不同工况下的真实运行行为。
结构分析- 流体分析
- 多物理场耦合分析
- 多体动力学分析（待上线）
- 系统建模分析（待上线）
虚实映射
将设备三维模型与现场传感数据精准绑定，构建设备虚实融合的空间数据底座。
- 三维设备模型管理
- 传感器点位绑定
- 运行数据接入
- 设备状态可视化
- 仿真结果与实测数据对照
模型优化
利用现场数据与实验数据校准机理模型，使仿真结果更加贴近真实设备状态。
- 材料参数校正
- 边界条件反演
- 工况参数优化
- 仿真结果验证
物理 AI
通过代理模型与机器学习提升仿真计算效率，实现装备状态的快速预测与在线推理。
- 代理模型
- 降阶模型
- 物理神经网络 / 算子
技术底层架构
上层应用系统
CCHUB 以及设备级数字孪生、预测性维护、健康管理等工业智能运维应用
↑模型服务 / 在线推理服务 / API 接口
装备数字孪生引擎
几何映射模块
CAD 模型导入 · 传感点位绑定 · IOT 数据映射 · 空间状态可视化
机理仿真模块
多物理场仿真建模 · 求解计算 · 前后处理
AI 孪生模块
模型优化 · 代理模型训练 · 在线推理服务 · 模型发布
数据与模型底座
几何模型 / 传感器数据 / 仿真数据 / 实验数据 / 工况数据
典型应用场景
风电设备智能运维
面向风机关键部件状态监测、载荷推演与寿命预测。
核电装备数字孪生
支撑高可靠装备的仿真验证、健康评估与安全运维。
高端制造设备健康管理
融合传感器数据与机理模型，识别异常并辅助维护决策。
能源装备运行预测
面向复杂工况下的设备状态预测、效率分析与风险预警。
核心价值
让仿真从“离线分析工具”变成“在线预测能力”，把装备运行阶段的数据、模型和 AI 推理连接起来，支撑智能运维闭环。
降低复杂装备数字孪生建设门槛- 提升设备状态预测能力
- 支撑故障诊断与预测性维护
- 让仿真结果可被业务系统调用
- 构建设备级智能运维应用底座
实时预测服务
通过代理模型与运行数据接入，在秒级或分钟级输出设备未来状态判断。
设备级孪生应用底座
为 CCHUB 提供可信的装备数字孪生模型和预测服务，支撑智能运维业务闭环。
让每一台关键设备，都拥有可计算的数字孪生体
用 SimuReal 构建装备数字孪生仿真引擎，释放仿真、数据与 AI 的融合价值。
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