平面图室内空气质量监控

（即将推出互动功能）

功能

• 空气质量渲染
• 轻松配置和设置
• 互动房间
• 详细的 IAQ 历史图表。

简短描述

使用 Flux 查询语言通过 Grafana 中的平面图可视化监控室内空气质量，可以深入了解建筑物内不同区域的空气质量。通过在建筑物内集成传感器和数据采集点，Grafana 可以在平面图布局上显示实时和历史空气质量数据。这使用户能够轻松识别空气质量较差的区域，并采取适当措施加以改善，例如调整通风系统或安装空气净化器。总的来说，这种方法增强了室内空气质量管理，并有助于为居住者创造更健康、更舒适的环境。

该插件通过查找带有前缀 room:（例如：room:Living room）的元素来识别提供的平面图 SVG 中的房间，未来还将支持查找带有前缀 wall:（例如：wall:south-east）的墙壁。

公共仪表盘示例

https://iaq.innorenew.eu/grafana/public-dashboards/535d826acc744109b4d64a68654ee262?orgId=1&refresh=5s

所需数据示例 (CSV)

#group,false,false,false,false,false,true
#datatype,string,long,string,dateTime:RFC3339,string,string
#default,_result,,,,,
,result,table,_field,_time,_value,sensor_id
,,0,RH,2024-06-03T07:06:00Z,59.89,411
,,0,abs_humidity,2024-06-03T07:06:00Z,12.41,411
,,0,co2,2024-06-03T07:06:00Z,500.48,411
,,0,dew_point,2024-06-03T07:06:00Z,14.96,411
,,0,luminance,2024-06-03T07:06:00Z,40.43,411
,,0,temperature,2024-06-03T07:06:00Z,23.19,411
,,0,voc_eq_co2,2024-06-03T07:06:00Z,577.68,411
,,0,voc_index,2024-06-03T07:06:00Z,577.68,411
,,1,RH,2024-06-03T07:06:00Z,53.0938,ir-00
,,1,abs_humidity,2024-06-03T07:06:00Z,12.3588,ir-00
,,1,co2,2024-06-03T07:06:00Z,504.1678,ir-00
,,1,dew_point,2024-06-03T07:06:00Z,15.0008,ir-00
,,1,luminance,2024-06-03T07:06:00Z,297.5616,ir-00
,,1,temperature,2024-06-03T07:06:00Z,25.2382,ir-00
,,1,turned_on,2024-06-03T07:06:00Z,17091208,ir-00
,,1,voc_acc,2024-06-03T07:06:00Z,NULL,ir-00
,,1,voc_eq_co2,2024-06-03T07:06:00Z,665,ir-00
,,1,voc_index,2024-06-03T07:06:00Z,665,ir-00
,,2,RH,2024-06-03T07:06:00Z,47.0603,ir-01
,,2,abs_humidity,2024-06-03T07:06:00Z,11.5456,ir-01
,,2,co2,2024-06-03T07:06:00Z,419.7745,ir-01
,,2,dew_point,2024-06-03T07:06:00Z,13.9951,ir-01
,,2,luminance,2024-06-03T07:06:00Z,16.1856,ir-01
,,2,temperature,2024-06-03T07:06:00Z,26.1782,ir-01
,,2,turned_on,2024-06-03T07:06:00Z,19316144,ir-01
,,2,voc_acc,2024-06-03T07:06:00Z,NULL,ir-01
,,2,voc_eq_co2,2024-06-03T07:06:00Z,488,ir-01
,,2,voc_index,2024-06-03T07:06:00Z,488,ir-01
,,3,RH,2024-06-03T07:06:00Z,47.2755,ir-02
,,3,abs_humidity,2024-06-03T07:06:00Z,11.1204,ir-02
,,3,co2,2024-06-03T07:06:00Z,425.1092,ir-02
,,3,dew_point,2024-06-03T07:06:00Z,13.3786,ir-02
,,3,luminance,2024-06-03T07:06:00Z,0,ir-02
,,3,temperature,2024-06-03T07:06:00Z,25.4251,ir-02
,,3,turned_on,2024-06-03T07:06:00Z,12344016,ir-02
,,3,voc_acc,2024-06-03T07:06:00Z,NULL,ir-02
,,3,voc_eq_co2,2024-06-03T07:06:00Z,698,ir-02
,,3,voc_index,2024-06-03T07:06:00Z,698,ir-02
,,4,RH,2024-06-03T07:06:00Z,57.1145,ir-03
,,4,abs_humidity,2024-06-03T07:06:00Z,12.2462,ir-03
,,4,co2,2024-06-03T07:06:00Z,474.4346,ir-03
,,4,dew_point,2024-06-03T07:06:00Z,14.7826,ir-03
,,4,luminance,2024-06-03T07:06:00Z,36.288,ir-03
,,4,temperature,2024-06-03T07:06:00Z,23.7829,ir-03
,,4,turned_on,2024-06-03T07:06:00Z,1522037,ir-03
,,4,voc_acc,2024-06-03T07:06:00Z,NULL,ir-03
,,4,voc_eq_co2,2024-06-03T07:06:00Z,540,ir-03
,,4,voc_index,2024-06-03T07:06:00Z,540,ir-03
,,5,RH,2024-06-03T07:06:00Z,56.2478,ir-04
,,5,abs_humidity,2024-06-03T07:06:00Z,11.8319,ir-04
,,5,co2,2024-06-03T07:06:00Z,676.0902,ir-04
,,5,dew_point,2024-06-03T07:06:00Z,14.2318,ir-04
,,5,luminance,2024-06-03T07:06:00Z,26.8416,ir-04
,,5,temperature,2024-06-03T07:06:00Z,23.4464,ir-04
,,5,turned_on,2024-06-03T07:06:00Z,5754636,ir-04
,,5,voc_acc,2024-06-03T07:06:00Z,NULL,ir-04
,,5,voc_eq_co2,2024-06-03T07:06:00Z,431,ir-04
,,5,voc_index,2024-06-03T07:06:00Z,431,ir-04
,,6,RH,2024-06-03T07:06:00Z,63.9078,ir-06
,,6,abs_humidity,2024-06-03T07:06:00Z,12.1686,ir-06
,,6,co2,2024-06-03T07:06:00Z,431.7405,ir-06
,,6,dew_point,2024-06-03T07:06:00Z,14.5753,ir-06
,,6,luminance,2024-06-03T07:06:00Z,3.2832,ir-06
,,6,temperature,2024-06-03T07:06:00Z,21.708,ir-06
,,6,turned_on,2024-06-03T07:06:00Z,23495992,ir-06
,,6,voc_acc,2024-06-03T07:06:00Z,NULL,ir-06
,,6,voc_eq_co2,2024-06-03T07:06:00Z,457,ir-06
,,6,voc_index,2024-06-03T07:06:00Z,457,ir-06
,,7,RH,2024-06-03T07:06:00Z,57.4838,ir-07
,,7,abs_humidity,2024-06-03T07:06:00Z,11.7847,ir-07
,,7,co2,2024-06-03T07:06:00Z,433.5116,ir-07
,,7,dew_point,2024-06-03T07:06:00Z,14.1465,ir-07
,,7,luminance,2024-06-03T07:06:00Z,5.3568,ir-07
,,7,temperature,2024-06-03T07:06:00Z,22.9951,ir-07
,,7,turned_on,2024-06-03T07:06:00Z,19316228,ir-07
,,7,voc_acc,2024-06-03T07:06:00Z,NULL,ir-07
,,7,voc_eq_co2,2024-06-03T07:06:00Z,464,ir-07
,,7,voc_index,2024-06-03T07:06:00Z,464,ir-07

数据应按以下方式分组

<sensor_id, <_field, _time, _value, sensor_id>>

一个 Flux 查询示例为

from(bucket: "iaq")
  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
  |> filter(fn: (r) => r["_measurement"] == "iaq_data")
  |> map(fn: (r) => ({r with _value: string(v:r._value)}))
  |> truncateTimeColumn(unit: 2m)
  |> last()
  |> group(columns: ["sensor_id"])
  |> drop(columns: ["_start", "_stop", "_measurement", "building"])

平面图 SVG 数据示例

https://github.com/InnoRenew-CoE/grafana-floor-panel/blob/main/floor_plan.svg

注意

该插件尚未签名，也无法通过 Grafana Store 获取。