「英中对照」从建筑数据到建筑智能：Automated Logic将在伦敦ExCeL智慧建筑展展示Predictive Insights for WebCTRL®及最新版WebCTRL®楼宇自控平台

Building management systems provide facilities teams with huge volumes of information on equipment operation, energy use and environmental conditions. The opportunity now is to make that information work harder.楼宇管理系统为设施团队提供有关设备运行、能源使用和环境状况的海量信息。当前的机遇在于让这些信息发挥更大作用。

Traditionally, much of building management has been reactive. An alarm is triggered, equipment performance deteriorates, or an occupant reports a problem, prompting investigation and remedial action. Even when extensive trend data is available, identifying patterns that signal a developing issue can take significant time and expertise.传统上，楼宇管理在很大程度上是被动响应式的。警报触发、设备性能下降或使用者报告问题，才会促使开展调查和补救行动。即使具备大量趋势数据，识别预示问题正在发展的模式也可能耗费大量时间和专业知识。

AI and predictive analytics can change this relationship with building data. Instead of primarily showing operators what has already happened, building systems can help identify emerging problems, assess their likely significance and guide the appropriate response.人工智能和预测分析可以改变这种与楼宇数据的关系。楼宇系统不再主要向操作员展示已经发生的情况，而是能够帮助识别新出现的问题、评估其可能的影响程度，并指导适当的应对措施。

That could have important implications for facilities management. If teams can identify potential equipment problems earlier, maintenance can become precisely targeted. Resources can be directed towards the issues with the greatest operational impact or urgency. Building performance can also be evaluated continuously, allowing operators to assess the effect of an intervention and use that information to inform future decisions.这可能会对设施管理产生重大影响。如果团队能够更早识别潜在的设备问题，维护就可以精准定向。资源可以投向对运行影响最大或最紧迫的问题。楼宇性能也可以得到持续评估，使操作员能够评估某项干预措施的效果，并利用这些信息为未来决策提供依据。

The result is an evolution from reactive towards predictive, performance-led building management.其结果是从被动响应式管理向预测型、以性能为主导的楼宇管理演进。

This approach is already being successfully applied in practice. Predictive Insights for WebCTRL®, powered by Abound™, uses AI to continuously analyse operational equipment data. It can recognise more than 1,000 equipment behaviour patterns and generate more than 2,200 prescriptive recommendations, helping facilities teams identify inefficiencies, emerging faults and opportunities to improve energy use, equipment performance, maintenance and occupant comfort. 这种方法已在实践中得到成功应用。由 Abound™ 驱动的 Predictive Insights for WebCTRL® 使用人工智能持续分析设备运行数据。它能够识别 1,000 多种设备行为模式，并生成 2,200 多项规范性建议，帮助设施团队识别低效问题、新发故障，以及改善能源使用、设备性能、维护和使用者舒适度的机会。

At a regional shopping centre in Brisbane, Australia, the technology was deployed across connected HVAC equipment. More than 11,600 kWh of energy savings were recorded in the first three months, with AHU energy consumption down 8% in Q4 2025 compared with Q4 2024. Energy savings offset the software deployment costs within four months. 在澳大利亚布里斯班的一个区域购物中心，该技术部署在相互连接的 HVAC 设备上。前三个月记录的节能量超过 11,600 kWh，2025 年第四季度 AHU 能耗较 2024 年第四季度下降 8%。节能收益在四个月内即抵消了软件部署成本。

It shows how predictive technology can take us a step closer to predicting the future, turning the data buildings generate into practical action and measurable improvements.它表明预测技术如何能够让我们更进一步预测未来，将楼宇生成的数据转化为实际行动和可衡量的改进。

Already delivering results internationally, Predictive Insights for WebCTRL® is now coming to Europe. Don’t miss the opportunity to see it in action at Smart Buildings Show.Predictive Insights for WebCTRL® 已在国际上取得成效，如今即将进入欧洲。不要错过在 Smart Buildings Show 上亲眼见识其实际运行的机会。

Automated Logic will demonstrate Predictive Insights alongside the latest version of its WebCTRL® building automation platform at Smart Buildings Show, ExCeL London, 14–15 October 2026. Automated Logic 将在 2026 年 10 月 14–15 日于伦敦 ExCeL 举办的 Smart Buildings Show 上，展示 Predictive Insights 及其最新版 WebCTRL® 楼宇自动化平台。

See the technology in action on Stand A1 and discover how your building data can help you anticipate issues, act sooner and stay ahead.欢迎到 A1 展台参观该技术的实际运行，了解您的楼宇数据如何帮助您预判问题、尽早行动并保持领先。