3.9 KiB
title | description | ha_category | ha_release | ha_iot_class | ha_quality_scale | ha_codeowners | ha_domain | ha_config_flow | ha_platforms | ha_integration_type | ||||||
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Integration - Riemann sum integral | Instructions on how to integrate Integration Sensor into Home Assistant. |
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0.87 | Local Push | internal |
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integration | true |
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helper |
This integrations provides the Riemann sum of the values provided by a source sensor. The Riemann sum is an approximation of an integral by a finite sum.
The integration sensors are updated upon changes of the source. Fast sampling source sensors provide more accurate results. In this implementation, the default is the Trapezoidal method, but Left and Right methods can optionally be used.
{% include integrations/config_flow.md %} {% configuration_basic %} Name: description: The name the sensor should have. You can change it again later. Input sensor: description: The entity providing numeric readings to integrate. Integral method: description: Riemann sum method to be used. Precision: description: Round the calculated integration value to at most N decimal places. Metric prefix: description: Metric unit to prefix the integration result. Integration time: description: SI unit of time to integrate over. {% endconfiguration_basic %}
YAML Configuration
Alternatively, this integration can be configured and set up manually via YAML
as well. To enable the Integration sensor in your installation, add the
following to your configuration.yaml
file:
# Example configuration.yaml entry
sensor:
- platform: integration
source: sensor.current_power
{% configuration %}
source:
description: The entity ID of the sensor providing numeric readings.
required: true
type: string
name:
description: Name to use in the frontend.
required: false
default: source entity ID integral
type: string
unique_id:
description: An ID that uniquely identifies the integration sensor. Set this to a unique value to allow customization through the UI.
required: false
type: string
round:
description: Round the calculated integration value to at most N decimal places.
required: false
default: 3
type: integer
unit_prefix:
description: "Metric unit to prefix the integration result. Available units are k
, M
, G
and T
."
required: false
default: None
type: string
unit_time:
description: "SI unit of time to integrate over. Available units are s
, min
, h
and d
."
required: false
default: h
type: string
method:
description: "Riemann sum method to be used. Available methods are trapezoidal
, left
and right
."
required: false
type: string
default: trapezoidal
{% endconfiguration %}
In case you expect that your source sensor will provide several subsequent values that are equal, you should opt for the left
method to get accurate readings.
The unit of source
together with unit_prefix
and unit_time
is used to generate a unit for the integral product (e.g. a source in W
with prefix k
and time h
would result in kWh
). Note that unit_prefix
and unit_time
are also relevant to the Riemann sum calculation.
Energy
An integration sensor is quite useful in energy billing scenarios since energy is generally billed in kWh and many sensors provide power in W (Watts).
If you have a sensor that provides you with power readings in Watts (uses W as unit_of_measurement
, device_class
of power
), then you can use the integration
sensor to track how much energy is being spent. Take the next manual YAML configuration as an example:
sensor:
- platform: integration
source: sensor.current_power
name: energy_spent
unit_prefix: k
round: 2
This configuration will provide you with sensor.energy_spent
which will have your energy in kWh, as a device_class
of energy
.