Physics first. Then a twin. Then an agent on every device.先物理，再孪生，然后为每台设备配一个 Agent。
Simulation and the digital twin are the core. Everything else — forecasting, optimization, dispatch, filings — is built on top of a model that already knows how the facility behaves. AI is not a layer bolted onto a monitoring screen; it is how the platform reasons.仿真与数字孪生是核心。其余一切——预测、优化、调度、申报——都构建在一个已经理解设施行为的模型之上。AI 不是外挂在监控界面上的一层，而是平台的推理方式本身。
Multiphysics simulation多物理场仿真
GPU rack density has moved past the point where traditional engineering experience holds. Busway thermal behaviour under extreme dynamic load, current-density distribution at 100 kW+ per rack, and the coupling between heat and airflow cannot be judged from precedent — they have to be solved.GPU 机柜密度早已越过传统工程经验的适用边界。母线排在极端动态负载下的热行为、单柜 100kW 以上的电流密度分布、热与气流的耦合，无法凭先例判断——只能求解。
- Coupled solution耦合求解 — thermal, electrical, and fluid fields solved together, so the interaction between a load step and its heat signature is preserved.热、电、流体场联合求解，保留负载阶跃与其热特征之间的相互作用。
- Sub-second feedback亚秒级反馈 — adjust a busway configuration and see the temperature field and current-density distribution in under a second.调整母线配置，一秒内即可看到温度场与电流密度分布。
- Trained on engineering data以工程数据训练 — surrogate models learned from large multiphysics datasets give the speed of an inference call with the behaviour of a solver.以大规模多物理场数据训练的代理模型，兼具推理调用的速度与求解器的行为。
What this replaces. Conventional practice validates one configuration late in design and absorbs the consequences during commissioning. Simulation-first practice explores the design space early, when changes are still cheap, and carries the resulting model forward instead of discarding it at handover.它取代了什么。传统做法是在设计后期验证单一配置，并在调试阶段承担后果。仿真优先的做法是在变更仍然廉价的早期探索设计空间，并让所得模型继续沿用，而非在交付时被丢弃。
The digital twin数字孪生
The twin is the continuity between design and operation. At handover the as-built model is reconciled against live telemetry and kept aligned — so the facility always has a current, queryable representation of itself.数字孪生是设计与运营之间的连续性。交付时，竣工模型与实时遥测校准并持续对齐——使设施始终拥有一份当前、可查询的自我表征。
What it holds孪生包含什么
- Power chain — transformers, switchgear, UPS, busway, PDU供电链——变压器、开关柜、UPS、母线、PDU
- Cooling chain — chiller plant, CDU, CRAH, pumps制冷链——冷冻站、CDU、CRAH、水泵
- Compute — racks, clusters, workload flexibility算力——机柜、集群、负载柔性
- Storage — BESS state and market commitments储能——电池状态与市场承诺
What it makes possible它带来什么
- What-if simulation against the real facility面向真实设施的假设推演
- Forward risk maps rather than after-the-fact alarms前瞻风险地图，而非事后告警
- Auditable evidence for every optimization每次优化均有可审计依据
- A defensible basis for expansion decisions扩容决策的可辩护依据
One agent per device每台设备一个 Agent
On top of simulation and the twin, each significant device carries its own agent — with its own model, its own forecast, and its own optimization objective. An orchestrator coordinates them at facility level, resolving conflicts between local efficiency and system-wide cost.在仿真与孪生之上，每台关键设备拥有独立 Agent——各自的模型、各自的预测、各自的优化目标。Orchestrator 在设施层协同，化解局部效率与全局成本之间的冲突。
What sits underneath底层构成
Planning agent规划 Agent
Turns workload and business intent into an engineering blueprint.把负载与业务意图转化为工程蓝图。
Knowledge graph工程知识图谱
Equipment, standards, and topologies as a queryable structure.设备、标准与拓扑构成可查询结构。
Simulation engine仿真引擎
Coupled thermal, electrical, and fluid solution.热、电、流体耦合求解。
Digital twin engine孪生引擎
Keeps the as-built model aligned with live telemetry.让竣工模型与实时遥测保持对齐。
Infrastructure reasoning基础设施推理
Applies engineering constraints to candidate designs.对候选设计施加工程约束。
Cost modeling engine成本模型引擎
Moves CAPEX and OPEX when the design moves.设计变动时同步更新资本与运营支出。
Optimization engine优化引擎
Co-optimizes compute, cooling, storage, and price signals.协同优化算力、制冷、储能与电价信号。
Recommendation engine推荐引擎
Produces the next action, with the evidence attached.给出下一步动作，并附依据。
Why it is built this way为何如此构建
AI-native, not AI-added原生 AI，而非附加 AI
Planning begins from workload and business requirements rather than from engineering templates. The reasoning layer is the product, not a feature on top of it.规划从负载与业务需求出发，而非从工程模板出发。推理层本身就是产品，而非产品之上的一个功能。
One model, whole lifecycle一个模型，贯穿全生命周期
Evaluate, plan, build, operate, optimize, expand — carried by a single continuous model instead of handoffs between disconnected tools.评估、规划、建设、运营、优化、扩容——由单一连续模型承载，而非在互不连通的工具之间交接。
Vendor-neutral厂商中立
Designed to integrate with multiple hardware vendors, utilities, EPC firms, and suppliers, so the platform never constrains procurement.设计上可对接多家硬件厂商、电力公司、EPC 与供应商，平台不会束缚采购选择。
From infrastructure planning to infrastructure intelligence.从基础设施规划，到基础设施智能。
Bring a workload profile and a candidate site. We will run it through the platform and show you the power path, the thermal envelope, and the interconnection route.带上负载画像与候选站址，我们将在平台中完成推演，呈现供电路径、热力包络与并网路线。