161 lines
No EOL
5.9 KiB
YAML
161 lines
No EOL
5.9 KiB
YAML
blueprint:
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name: Area Valve Temperature Offset Calibration
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author: Andreas Gammelgaard Damsbo (Revised by AI)
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description: |
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Automatically calibrate the temperature offset of ALL smart radiator valves (TRVs)
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in a specified area using readings from an external room temperature sensor.
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This version runs on a time schedule and only updates the offset if the calculated
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value differs from the current value on the valve, reducing unnecessary communication.
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The blueprint discovers all climate entities in the chosen area and updates their
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corresponding temperature offset entities based on the difference between each
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valve's internal sensor and the actual room temperature.
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Example use case:
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- **area**: Living Room
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- **external_sensor**: sensor.living_room_temperature
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- **run_interval**: /10 (every 10 minutes)
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domain: automation
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source_url: https://gdamsbo.dk/forgejo/andreas/ha-thermostat-calibration/raw/branch/main/ha-thermostat-calibration.yaml
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input:
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target_area:
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name: Area
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description: >
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Select the area containing the thermostatic valves you want to calibrate.
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All climate entities in this area will be automatically calibrated.
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selector:
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area: {}
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external_sensor:
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name: External temperature sensor
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description: >
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Select the temperature sensor that measures the actual room temperature
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for this area.
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selector:
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entity:
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domain: sensor
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device_class: temperature
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run_interval:
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name: Run Interval
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description: >
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How often to check for offset updates. Format is a time pattern string
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(e.g., '/10' for every 10 minutes, '0' for every hour on the hour).
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default: "/10"
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selector:
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text: {}
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rounding_step:
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name: Rounding step for offset value
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description: >
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Define the step to which calculated offsets should be rounded.
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Use 0.5 for valves that support half-degree steps, or 1.0 for full degrees.
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default: 1.0
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selector:
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number:
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min: 0.1
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max: 2
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step: 0.1
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mode: box
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unit_of_measurement: "°C"
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manual_correction:
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name: Manual correction (bias)
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description: >
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Additional manual bias applied to computed offsets **before rounding**.
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Positive value makes valves think it's warmer (reduces heating sooner).
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Negative value makes valves think it's cooler (prolongs heating).
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default: 0.0
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selector:
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number:
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min: -1.0
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max: 1.0
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step: 0.1
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mode: slider
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unit_of_measurement: "°C"
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offset_entity_suffix:
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name: Offset entity suffix pattern
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description: >
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The text pattern used to identify offset number entities.
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Default: "_local_temperature_offset"
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default: "_local_temperature_offset"
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selector:
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text: {}
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mode: queued
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max: 10
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max_exceeded: silent
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trigger:
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- platform: time_pattern
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minutes: !input run_interval
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action:
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# Process each climate entity in the area
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- repeat:
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for_each: >
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{{ area_entities(target_area) | select('match', '^climate\.') | list }}
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sequence:
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- variables:
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climate_entity: "{{ repeat.item }}"
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climate_device: "{{ device_id(climate_entity) }}"
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external_temp: "{{ states(external_sensor) | float(0) }}"
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valve_temp: "{{ state_attr(climate_entity, 'current_temperature') | float(0) }}"
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# Skip if climate entity is unavailable or has no valid temperature
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- condition: template
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value_template: >
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{{ states(climate_entity) not in ['unknown', 'unavailable'] and valve_temp > 0 and external_temp > 0 }}
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# Find offset entity for this device
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- variables:
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offset_entity: >
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{% set entities = device_entities(climate_device) if climate_device else [] %}
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{% set offset_entities = entities | select('match', '^number\.') | select('search', offset_entity_suffix) | list %}
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{{ offset_entities[0] if offset_entities else '' }}
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# Skip if no offset entity found or is unavailable
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- condition: template
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value_template: "{{ offset_entity != '' and states(offset_entity) not in ['unknown', 'unavailable'] }}"
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# Calculate and set new offset
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- variables:
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current_offset: "{{ states(offset_entity) | float(0) }}"
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# 1. Calculate the required offset based on the difference
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# Required Offset = External Temp - (Valve Internal Temp - Current Offset) + Manual Correction
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raw_offset_required: "{{ external_temp - (valve_temp - current_offset) + manual_correction }}"
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# 2. Round the raw offset to the nearest rounding_step
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# Safely scale, round, and scale back to minimize floating point errors
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new_offset: >
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{% set step = rounding_step | float(1.0) %}
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{% set scale = (1 / step) | round(0) %}
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{{ (raw_offset_required * scale) | round(0) / scale }}
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# Only update if the calculated value is different from the current value
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- condition: template
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value_template: "{{ new_offset | round(3) != current_offset | round(3) }}"
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# Set new offset
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- service: number.set_value
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target:
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entity_id: "{{ offset_entity }}"
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data:
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value: "{{ new_offset }}"
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# Small delay between updates to avoid overwhelming the system
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- delay:
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milliseconds: 100
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variables:
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target_area: !input target_area
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external_sensor: !input external_sensor
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run_interval: !input run_interval
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rounding_step: !input rounding_step
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manual_correction: !input manual_correction
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offset_entity_suffix: !input offset_entity_suffix |