能耗管理

1.统一KaihongOS 多源异构数据融合、哑设备智能化改造 2.行为+能耗调控联动 办公区域出现空调启动同时窗户打开情况，加强联动管理 3.边侧智能 边侧智能自动触发、降低人员干预 4.个人碳足迹实时分析 楼宇碳排放与人员行为动作有关。绘制个人碳足迹指数的“碳画像”。实现碳排放管控的可视察、可诊断、可优化。1. Unified KaihongOS: Multi-source heterogeneous data fusion and intelligent transformation of dumb devices 2. Behavior and Energy Consumption Regulation Linkage: Strengthen linkage management for scenarios where air conditioners are activated while windows are open in office areas 3. Edge-side Intelligence: Automatically trigger edge-side intelligence to reduce human intervention 4. Real-time Personal Carbon Footprint Analysis: Building carbon emissions are correlated with staff behavioral actions. Construct the "carbon profile" of the personal carbon footprint index, so as to realize observable, diagnosable and optimizable carbon emission control.

搜集汇总

背景与挑战

背景概述

该数据集专注于能耗管理领域，通过统一平台整合多源数据并改造哑设备，实现智能化控制。它强调行为与能耗的联动调控，例如在办公区域自动管理空调与窗户的协同，并利用边侧智能减少人工干预。此外，数据集还提供个人碳足迹的实时分析，将楼宇碳排放与人员行为关联，绘制碳画像以支持可视化的碳排放管控和优化。