能源 管理
优化 HVAC, chillers, lighting, demand peaks and energy schedules using occupancy and operational context.
部署 as a supervisory layer above existing building 系统 without replacing safety-critical deterministic controls.
优化 HVAC, chillers, lighting, demand peaks and energy schedules using occupancy and operational context.
基于实际使用情况的动态设定点、房间级异常检测、舒适度平衡和自动优化。
分析 runtime, vibration, temperature, faults and historical work orders to identify equipment at risk.
泄漏检测、异常消耗、储罐和泵监控、流量异常及自动升级。
访问-control anomalies, CCTV event correlation, restricted-zone monitoring and incident prioritisation.
追踪 electricity, water, diesel, renewable energy and operational emissions by building, floor or tenant.
简单信号保持确定性。复杂情况通过专业智能升级处理。
选择事件以查看 NeuralOps 如何关联数据、避免不必要的升级并推荐下一步操作。
关联楼宇系统,而不是管理来自不同供应商仪表板的孤立警报。
事件 are deduplicated, correlated and ranked so facility teams focus on operational impact rather than raw alarm count.
将原始公用事业和楼宇系统数据转化为可衡量的能源、水和碳运营指标。
Composite demo score based on HVAC efficiency, occupancy alignment, 激活 faults and utility anomalies.
Basic 封装
由 AINNA 推出的中小企业特别扶持计划。
限时入门网站优惠。AI使用、主机托管、维护及自定义集成将根据已确认的范围而定。
查看 中小企业 Offer →
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