「英中对照」Willow 将设施状况指数（FCI）重构为多维实时健康评分

Facility Condition Index, or FCI, has long been our industry’s shorthand for understanding the health of buildings. At its core, FCI is a simple ratio: the cost of repairing an asset divided by the cost of replacing it. A higher number signals greater deterioration and greater capital risk. For decades, this metric has helped facilities teams communicate needs to leadership, justify budgets, and prioritize investments. Recalibrated in alignment with capital planning cycles, FCI is a static metric in an increasingly dynamic world, where operational demands shift constantly.设施状况指数（Facility Condition Index，FCI）长期以来一直是我们行业用于了解建筑物健康状况的简略指标。其核心是一个简单的比率：资产维修成本除以资产重置成本。数值越高，表明劣化越严重、资本风险越大。数十年来，该指标帮助设施团队向领导层传达需求、论证预算并确定投资优先级。尽管 FCI 会根据资本规划周期重新校准，但在运营需求不断变化、日益动态的世界中，它仍是一个静态指标。

Challenges with Traditional FCI传统 FCI 的挑战

Most organizations recalculate FCI every three to five years as part of a major condition assessment initiative. While this approach provides a useful snapshot in time, by definition, a point-in-time asset assessment can’t compare to the richness of continuous monitoring. A 24×7 signal can capture how assets actually perform over time, revealing trends, anomalies, and emerging risks. Further, a periodic assessment creates data latency in between capital planning cycles. Asset health scores available to decision makers may be based on inspections and replacement cost estimates collected years ago. During that time, assets continue to age and operating conditions change. A chiller that was assessed as healthy two years ago may now be nearing failure. A roof that showed minimal deterioration during the last inspection may have experienced significant degradation due to severe weather. Yet the FCI score often remains unchanged until the next assessment cycle.大多数组织每三到五年重新计算一次 FCI，将其作为一项重大状况评估举措的一部分。虽然这种方法提供了有用的时点快照，但从定义上讲，时点资产评估无法媲美持续监测所包含的丰富信息。24×7 信号能够捕捉资产随时间推移的实际表现，揭示趋势、异常和新出现的风险。此外，定期评估会在各个资本规划周期之间造成数据延迟。决策者可用的资产健康评分可能基于数年前收集的检查数据和重置成本估算。在此期间，资产持续老化，运行条件不断变化。两年前被评估为健康的冷水机组，如今可能已接近故障。上次检查时劣化轻微的屋面，可能已因恶劣天气出现严重劣化。但在下一次评估周期之前，FCI 评分通常保持不变。

Traditional FCI methodologies also tend to over-index on asset age rather than actual performance and utilization. Two assets of the same type and installation year can have dramatically different conditions depending on configuration and usage patterns. For example, two air handling units installed in the same year may receive identical replacement recommendations based on age-based depreciation, even though one has operated significantly fewer hours, had regular preventive maintenance and adjustments to configuration to minimize wear and tear. This can lead organizations to replace assets prematurely.传统 FCI 方法也往往 过度侧重资产使用年限 ，而非实际性能和 利用率。同类型且同年安装的两项资产，其状况也可能因 配置 和使用模式不同而大相径庭。例如，两台同年安装的空气处理机组，可能会因基于使用年限的折旧而收到相同的更换建议，即使其中一台 运行 小时数显著更少，且定期接受预防性维护并进行配置调整以尽量减少磨损。这可能导致组织过早更换资产。

Condition assessment programs can be resource intensive, beginning with a massive portfolio-wide exercise to inventory assets and inspect facilities. Deficiencies are documented and repair vs replacement costs are estimated. These projects can take months to complete and typically require significant investment. The entire exercise must then be repeated every few years.状况评估计划可能耗费大量资源，首先要在整个资产组合范围内开展大规模工作，对资产进行盘点并检查设施。缺陷会被记录，维修与更换成本也会被估算。这些项目可能需要数月才能完成，且通常需要大量投入。之后每隔几年还必须重复整个工作。

Willow’s SolutionWillow 的解决方案

Willow reimagines FCI by grounding it in real time asset condition and performance and continuously incorporating maintenance activity. Skills run continuously to generate Insights. Corrective vs preventive work orders and inspection data are taken into account to calculate asset health scores. This enables organizations to prioritize investments based on current asset state.Willow 对 FCI 进行了重新构想，将其建立在实时资产状况和性能之上，并持续纳入维护活动。Skills 持续运行以生成 Insights。在计算资产健康评分时，会考虑纠正性与预防性工单以及检查数据。这使组织能够根据资产当前状态确定投资优先级。

Chronological asset age provides lifecycle context. Willow incorporates manufacturer, model, install date and expected life to compute an Age score that is indicative of when failure becomes more likely.按时间计算的资产使用年限提供了生命周期背景。Willow 结合制造商、型号、安装日期和预期寿命来计算 Age 评分，用于指示故障何时更可能发生。

Traditional condition assessments rely on periodic inspections and subjective labeling. Willow computes a dynamic Condition score. Inspection results, technician assessments, and preventive maintenance all feed into the calculation.传统状况评估依赖定期检查和主观标注。 Willow 会计算 动态状况评分。检查结果、技术人员评估 和预防性 维护 都会纳入该计算。

Performance scoring reveals how well an asset is operating. This can be reflected in electrical consumption, actual function vs design capacity and how frequently Insights are generated. Willow incorporates real‑time telemetry and data analytics to understand whether an asset is meeting operational expectations. This dimension can proactively reveal inefficiencies and emerging failures.性能评分揭示资产的运行状况。这可体现在 用电量、实际功能与设计容量的对比 以及 洞察 的生成频率中。 Willow 结合 实时 遥测数据 和数据分析 来判断资产是否达到运行预期。该维度可主动揭示低效问题和新发故障。

Finally, work orders provides a view into how often an asset is reporting failure and requiring technicians to perform corrective or emergency maintenance. Willow analyzes frequency, severity, and root cause patterns to determine the impact on operations. Work Order History can become the dimension that shifts a decision from “repair” to “replace,” because it reveals chronic issues that traditional techniques may not uncover.最后，工单提供 一个视角，可了解资产报告故障以及 要求技术人员执行故障性或紧急维护的频率。Willow 分析频率、严重程度 和根本原因模式，以 确定对运行 的影响。工单历史 可 成为推动决策从“维修”转向“更换”的维度，因为它揭示了传统 技术可能无法发现的长期复发性问题。

By synthesizing these four dimensions, Willow generates a dynamic FCI that reflects the asset’s health and operational state. This enriched FCI score updates continuously as conditions change, giving capital planning teams real‑time visibility into emerging risks and evolving priorities. 通过综合这四个维度，Willow 生成反映资产健康状况和运行状态的动态 FCI。这一增强的 FCI 评分会随状况变化持续更新，让资本规划团队实‑时 掌握新兴风险和不断变化的优先级。 

The Willow FCI dashboard presents an interactive experience to filter on mission-critical assets and view scores rolled up to a building-level. The same information is also available through Willow Copilot prompts and the Willow MCP Server.Willow FCI 仪表盘提供交互式体验，可筛选关键任务资产并查看汇总至楼宇层级的评分。同样的信息也可通过 Willow Copilot 提示和 Willow MCP Server 获取。

Willow Copilot provides responses to natural language prompts about FCI scores for specific assets, as well as recommendations for actions that the facility team should prioritize. These prompts can be rolled up into Daily Briefings for key stakeholders.Willow Copilot可响应 自然语言 提示，解答有关 FCI 特定资产评分的问题，并提供设施团队应优先采取的行动建议。这些提示可汇总为面向关键利益相关方的每日简报。

Real-time FCI scores provide a foundation of asset health data that can be analyzed to generate a view of expected repair costs over an upcoming time period. This enables capital planning teams to model scenarios of replacing immediately vs deferring to a later timeframe. Willow provides the evidence capital planning teams need to make informed decisions.实时 FCI 评分提供资产健康数据基础，可通过分析得出未来一段时间内预期维修成本的视图。这使资本规划团队能够对立即更换与延后更换的情景进行建模。Willow 提供资本规划团队做出明智决策所需的证据。

Conclusion结论

FCI continues to the industry standard metric for asset health, even as building systems are becoming more interconnected and complex, and the stakes for operational resilience and capital efficiency are higher than ever. A static metric presents limitations. Willow transforms FCI into a multidimensional, real-time health score that reflects the current state of assets. By grounding FCI in dimensions reflecting remaining useful life, condition, performance, and failure rate, Willow gives capital planning teams continuous clarity and context into asset health and repair vs replacement costs, without needing to undertake expensive, time-consuming spikes. Decisions become data driven and budgets become defensible, as facilities become more resilient, efficient, and strategically managed.尽管建筑系统正变得更加互联和复杂，且运行韧性与资本效率的利害关系比以往任何时候都更加重要，FCI 仍是资产健康的行业标准指标。静态指标存在局限性。Willow 将 FCI 转变为反映资产当前状态的多维度实时健康评分。通过将 FCI 建立在反映剩余使用寿命、状况、性能和故障率的维度之上，Willow 使资本规划团队能够持续、清晰地了解资产健康状况以及维修与更换成本的相关背景，而无需开展昂贵且耗时的突击性工作。决策因此由数据驱动，预算也更有据可依，同时设施变得更具韧性、更高效，并得到战略性管理。

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