esphome-docs/components/sensor/binary_sensor_map.rst

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Binary Sensor Map
=================
.. seo::
:description: Instructions for setting up a Binary Sensor Map
:image: binary_sensor_map.jpg
The ``binary_sensor_map`` sensor platform allows you to map multiple :doc:`binary sensor </components/binary_sensor/index>`
to an individual value. Depending on the state of each binary sensor, its associated configured parameters, and this sensor's mapping type,
the ``binary_sensor_map`` publishes a single numerical value.
Use this sensor to combine one or more binary sensors' ``ON`` or ``OFF`` states into a numerical value. Some possible use cases include
touch devices and determining Bayesian probabilities for an event.
This platform supports three measurement types: ``BAYESIAN``, ``GROUP``, and ``SUM``.
You need to specify your desired mapping with the ``type:`` configuration value.
When using the ``BAYESIAN`` type, add your binary sensors as ``observations`` to the binary sensor map.
If you use the ``GROUP`` or ``SUM`` type, add your binary sensors as ``channels``.
The maximum amount of observations/channels supported is 64.
- ``BAYESIAN`` This type replicates Home Assistant's `Bayesian sensor <https://www.home-assistant.io/integrations/bayesian/>`__. Based on the observation states, this sensor returns the Bayesian probability of a particular event occurring. The configured ``prior:`` probability is the likelihood that the Bayesian event is true, ignoring all external influences. Every observation has its own ``prob_given_true`` and ``prob_given_false`` parameters. The ``prob_given_true:`` value is the probability that the observation's binary sensor is ``ON`` when the Bayesian event is ``true``. The ``prob_given_false:`` value is the probability that the observation's binary sensor is ``ON`` when the Bayesian event is ``false``. Use an :doc:`/components/binary_sensor/analog_threshold` to convert this sensor's probability to a binary ``ON`` or ``OFF`` by setting an appropriate threshold.
.. code-block:: yaml
# Example configuration entry
sensor:
- platform: binary_sensor_map
id: bayesian_prob
name: 'Bayesian Event Probability'
type: bayesian
prior: 0.4
observations:
- binary_sensor: binary_sensor_0
prob_given_true: 0.9
prob_given_false: 0.2
- binary_sensor: binary_sensor_1
prob_given_true: 0.6
prob_given_false: 0.1
binary_sensor:
# If the Bayesian probability is greater than 0.6,
# then predict the event is occuring
- platform: analog_threshold
name: "Bayesian Event Predicted State"
sensor_id: bayesian_prob
threshold: 0.6
# ...
- ``GROUP`` Each channel has its own ``value``. The sensor publishes the average value of all active
binary sensors or ``NAN`` if no sensors are active.
.. code-block:: yaml
# Example configuration entry
sensor:
- platform: binary_sensor_map
id: group_0
name: 'Group Map 0'
type: GROUP
channels:
- binary_sensor: touchkey0
value: 0
- binary_sensor: touchkey1
value: 10
- binary_sensor: touchkey2
value: 20
- binary_sensor: touchkey3
value: 30
# Example binary sensors using MPR121 component
mpr121:
id: mpr121_first
address: 0x5A
binary_sensor:
- platform: mpr121
channel: 0
id: touchkey0
# ...
- ``SUM`` Each channel has its own ``value``. The sensor publishes the sum of all the active
binary sensors values or ``0`` if no sensors are active.
.. code-block:: yaml
# Example configuration entry
sensor:
- platform: binary_sensor_map
id: group_0
name: 'Group Map 0'
type: sum
channels:
- binary_sensor: bit0
value: 1
- binary_sensor: bit1
value: 2
- binary_sensor: bit2
value: 4
- binary_sensor: bit3
value: 8
binary_sensor:
- platform: gpio
pin: GPIOXX
id: bit0
- platform: gpio
pin: GPIOXX
id: bit1
- platform: gpio
pin: GPIOXX
id: bit2
- platform: gpio
pin: GPIOXX
id: bit3
# ...
Configuration variables:
------------------------
- **type** (**Required**, string): The sensor type. Should be one of: ``BAYESIAN``, ``GROUP``, or ``SUM``.
- **channels** (**Required for GROUP or SUM types**): A list of channels that are mapped to certain values.
- **binary_sensor** (**Required**): The id of the :doc:`binary sensor </components/binary_sensor/index>`
to add as a channel for this sensor.
- **value** (**Required**): The value this channel should report when its binary sensor is active.
- **prior** (**Required for BAYESIAN type**, float between 0 and 1): The prior probability of the event.
- **observations** (**Required for BAYESIAN type**): A list of observations that influence the Bayesian probability of the event.
- **binary_sensor** (**Required**): The id of the :doc:`binary sensor </components/binary_sensor/index>`
to add as an observation.
- **prob_given_true** (**Required**, float between 0 and 1): Assuming the event is true, the probability this observation is on.
- **prob_given_false** (**Required**, float between 0 and 1): Assuming the event is false, the probability this observation is on.
- All other options from :ref:`Sensor <config-sensor>`.
See Also
--------
- :doc:`/components/binary_sensor/mpr121`
- :doc:`/components/binary_sensor/analog_threshold`
- :ref:`sensor-filters`
- :apiref:`binary_sensor_map/binary_sensor_map.h`
- `Bayesian sensor in Home Assistant <https://www.home-assistant.io/integrations/bayesian/>`__
- :ghedit:`Edit`