DTCT模块化机房环境温度监控数据

通过对机房环境温湿度的多点监测和智能分析，准确反映温湿度分布，解决传统机房监控单点、滞后、预警不准的问题，提升运维效率，保障设备安全运行。计算温湿度舒适度，实现湿度协同控制，建立智能三级预警机制。运用本数据能进行多维度温度监控，实现机房温度均匀性优化、制冷效率与环境舒适度评估，还能应用与运维质量评估、节能改造依据和投资收益分析。本规则用于机房环境温度监控数据处理，实现温湿度智能监控和异常预警。
1. 数据采集
采集频率：每5分钟
原始数据列名及说明：
设备ID：ENV-MON-001 [唯一标识]；
空调送风温度设定_Ts(℃)：空调系统的目标温度设定值；
前端机房温度_T1(℃)：机房前端测量点温度；
中端机房温度_T2(℃)：机房中端测量点温度；
后端机房温度_T3(℃)：机房后端测量点温度；
前端机房湿度_H1(%)：机房前端测量点湿度；
中端机房湿度_H2(%)：机房中端测量点湿度；
后端机房湿度_H3(%)：机房后端测量点湿度。
2. 数据处理
异常值处理：温度超范围、湿度超范围
时间对齐：北京时间，5分钟间隔
3.算法加工
(1)计算温度参数
机房平均温度_Tavg(℃) = (T1 + T2 + T3) / 3
温度偏差ΔT(℃) = Tavg - Ts
温度变化率(℃/h) = (当前Tavg - 上一时刻Tavg) × 12
温度均匀度(℃) = max(T1, T2, T3) - min(T1, T2, T3)
(2)计算机房平均湿度
机房平均湿度_Havg(%) = (H1 + H2 + H3) / 3
(3)计算环境舒适度指数
计算公式：0.6 × 温度舒适度 + 0.4 × 湿度舒适度
其中：
温度舒适度 = 100 - |Tavg - 22| × 5
湿度舒适度 = 100 - |Havg - 50| × 1
注：22℃和50%为理想温湿度值
[指数范围：0-100，越高越舒适]
4. 状态判定及预警
(1) 机房状态
严重过热：Tavg > 30℃ 或 温度变化率 > 5℃/h
过热：Tavg > 28℃ 或 温度变化率 > 3℃/h
偏热：Tavg > 26℃ 或 温度变化率 > 2℃/h
正常：其他情况
(2) 预警等级
三级预警：对应严重过热
二级预警：对应过热
一级预警：对应偏热
正常：对应正常状态

This dataset is developed for multi-point monitoring and intelligent analysis of computer room ambient temperature and humidity, accurately reflecting the temperature and humidity distribution, addressing the issues of single-point monitoring, delayed response and inaccurate early warning in traditional computer room monitoring, improving operation and maintenance efficiency, and ensuring safe operation of equipment. It calculates temperature and humidity comfort, realizes coordinated humidity control, and establishes an intelligent three-level early warning mechanism. The data can be used for multi-dimensional temperature monitoring, optimization of computer room temperature uniformity, evaluation of cooling efficiency and environmental comfort, as well as application in operation and maintenance quality assessment, energy-saving transformation basis and investment return analysis. This specification is used for processing computer room ambient temperature monitoring data to realize intelligent temperature and humidity monitoring and abnormal early warning.
1. Data Collection
Collection frequency: Every 5 minutes
Original data column names and descriptions:
- Device ID: ENV-MON-001 [unique identifier];
- Air conditioner supply air temperature setpoint _Ts(℃): Target temperature setpoint of the air conditioning system;
- Front-end computer room temperature _T1(℃): Temperature measured at the front-end monitoring point of the computer room;
- Mid-end computer room temperature _T2(℃): Temperature measured at the mid-end monitoring point of the computer room;
- Back-end computer room temperature _T3(℃): Temperature measured at the back-end monitoring point of the computer room;
- Front-end computer room humidity _H1(%): Humidity measured at the front-end monitoring point of the computer room;
- Mid-end computer room humidity _H2(%): Humidity measured at the mid-end monitoring point of the computer room;
- Back-end computer room humidity _H3(%): Humidity measured at the back-end monitoring point of the computer room.
2. Data Processing
Outlier handling: Temperature out of range, humidity out of range
Time alignment: Beijing Time, 5-minute interval
3. Algorithm Processing
(1) Temperature parameter calculation
Computer room average temperature _Tavg(℃) = (T1 + T2 + T3) / 3
Temperature deviation ΔT(℃) = Tavg - Ts
Temperature change rate (℃/h) = (Current Tavg - Previous Tavg) × 12
Temperature uniformity (℃) = max(T1, T2, T3) - min(T1, T2, T3)
(2) Computer room average humidity calculation
Computer room average humidity _Havg(%) = (H1 + H2 + H3) / 3
(3) Environmental comfort index calculation
Calculation formula: 0.6 × Temperature Comfort + 0.4 × Humidity Comfort
Where:
Temperature Comfort = 100 - |Tavg - 22| × 5
Humidity Comfort = 100 - |Havg - 50| × 1
Note: 22℃ and 50% are the ideal temperature and humidity values
[Index range: 0-100, the higher the value, the more comfortable the environment]
4. State Judgment and Early Warning
(1) Computer room status
- Severe overheating: Tavg > 30℃ or temperature change rate > 5℃/h
- Overheating: Tavg > 28℃ or temperature change rate > 3℃/h
- Slightly overheated: Tavg > 26℃ or temperature change rate > 2℃/h
- Normal: All other cases
(2) Early warning levels
- Level 3 early warning: Corresponding to severe overheating
- Level 2 early warning: Corresponding to overheating
- Level 1 early warning: Corresponding to slightly overheated
- Normal: Corresponding to normal state

搜集汇总

背景与挑战

背景概述

该数据集记录了模块化机房的环境温度监控信息，包含1001条数据，每5分钟更新一次，通过多点温湿度监测和智能算法计算平均温度、湿度偏差、变化率及舒适度指数等指标，用于实现机房状态的实时预警和运维优化。数据集支持温度均匀性分析、制冷效率评估和环境舒适度计算，旨在提升机房设备安全运行效率和运维质量。