2025.3.4
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Mold Indicator

The Mold Indicator sensor integration集成将 Home Assistant 与您的设备、服务等连接和集成。 [Learn more] uses data from two temperature sensors and a humidity sensor to predict the humidity near a cold surface. High humidity may lead to mold growth at more than ~70% and causes condensation at 100%.

The sensor data may be used, for example, to detect bad air quality (high humidity) or automate the operation of indoor air humidifiers to keep the indoor humidity at an optimum.

配置

要将 Mold Indicator helper 添加到您的 Home Assistant 实例中，请使用此 My 按钮：

手动配置步骤

如果上述 My 按钮不起作用，您也可以手动执行以下步骤：

  • 浏览到您的 Home Assistant 实例。

  • 转到 设置 > 设备与服务。

  • 在屏幕顶部，选择标签：Helpers。

  • 在右下角，选择 创建助手 按钮。

  • 从列表中选择 Mold Indicator。

  • 按照屏幕上的说明完成设置。

Further information about these configuration options can be found under the YAML configuration

Name

The name of the sensor.

Indoor temperature sensor

The entity ID of the indoor temperature sensor.

Indoor humidity sensor

The entity ID of the indoor humidity sensor.

Outdoor temperature sensor

The entity ID of the outdoor temperature sensor.

Calibration factor

Needs to be calibrated to the critical point in the room.

YAML Configuration

To use the Mold Indicator sensor in your installation, add the following to your configuration.yamlconfiguration.yaml 文件是 Home Assistant 的主要配置文件。它列出了要加载的集成及其特定配置。在某些情况下，需要直接在 configuration.yaml 文件中手动编辑配置。大多数集成可以在 UI 中配置。 [Learn more] file. 在更改了configuration.yamlconfiguration.yaml 文件是 Home Assistant 的主要配置文件。它列出了要加载的集成及其特定配置。在某些情况下，需要直接在 configuration.yaml 文件中手动编辑配置。大多数集成可以在 UI 中配置。 [Learn more] 文件后，重启 Home Assistant 以应用更改。

# Example configuration.yaml entry
sensor:
  - platform: mold_indicator
    indoor_temp_sensor: sensor.temp
    indoor_humidity_sensor: sensor.humidity
    outdoor_temp_sensor: sensor.weather_temperature
    calibration_factor: 2.0
    unique_id: very_unique_id_123

Configuration Variables

Looking for your configuration file?
name string (Optional)

The name of the sensor.

indoor_temp_sensor string Required

The entity ID of the indoor temperature sensor.

indoor_humidity_sensor string Required

The entity ID of the indoor humidity sensor.

outdoor_temp_sensor string Required

The entity ID of the outdoor temperature sensor.

calibration_factor float Required

Needs to be calibrated to the critical point in the room.

unique_id string (Optional)

Provide a unique id for the sensor.

In this case, the weather forecast temperature sensor is used for the outside temperature.

Background

First, this sensor predicts the temperature near the given surface by estimating it from the indoor and outdoor temperatures. The predicted temperature starts with the indoor temperature, then either brings it closer to the outdoor temperature (if the calibration factor is positive, indicating the surface is influenced by the outdoors) or away (if the calibration factor is negative, indicating the surface is inversely correlated with the outdoor temperature).

From there, the sensor calculates the relative humidity near the given surface based on the dew point.

Calibration

The Mold Indicator sensor integration needs to be calibrated in order to estimate the temperature at the critical point from the outdoor and indoor temperature. First find the coldest surface in the room (critical point), which is typically near the window frames, but depends on the insulation of your home. For calibration you need to measure the temperature at this critical point and simultaneously write down the values for the indoor- and outdoor temperature sensors used for the Mold Indicator. Be sure that there is a significant indoor to outdoor temperature difference to get the best calibration results.

With the three measured temperatures (in Celsius or Fahrenheit), the calibration_factor for your configuration file is given by:

calibration_factor = (temp_indoor - temp_outdoor) / (temp_criticalpoint - temp_outdoor)

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