I’m collecting some long period weather stats for a project but they are getting corrupted, I think when HA restarts. I’m collecting atmspheric pressure over 14 days & wind over 60 hrs, so re-starts are a real problem. Just concentrating on the wind, here’s what I’m seeing:
I’m puzzled by the spikes and the sudden jumps in value. The source sensors don’t show this. For example:
Is there a way of avoiding the problems caused by re-starts?
The two sensor showing the spikes & jumps are:-
- platform: statistics
name: wind_60hr
unique_id: wind_60hr
entity_id: sensor.wind_display
state_characteristic: average_linear
precision: 2
max_age:
hours: 60
And for the direction i’m going the long way round becuase I’m not sure average_circular will work:
- platform: statistics
name: wind_dir_cosine_60hr_avg
entity_id: sensor.wind_dir_cosine
unique_id: wind_dir_cosine_60hr_avg
state_characteristic: average_linear
max_age:
hours: 60
- platform: statistics
name: wind_dir_sine_60hr_avg
entity_id: sensor.wind_dir_sine
unique_id: wind_dir_sine_60hr_avg
state_characteristic: average_linear
max_age:
hours: 60
- sensor:
- name: wind_direction_60hr
unique_id: wind_direction_60hr
state_class: measurement
unit_of_measurement: "°"
state: >
{% set wind_direction = float(atan2(float(states('sensor.wind_dir_sine_60hr_avg'), 0), float(states('sensor.wind_dir_cosine_60hr_avg'), 1), 0)*180/pi, 0) | round (0) %}
{% if wind_direction < 0 %}
{{ wind_direction + 360 }}
{% else %}
{{ wind_direction }}
{% endif %}
- name: wind_dir_cosine
unique_id: wind_dir_cosine
state: "{{ (cos(float(states('sensor.wind_display_dir'), 0)*pi/180, 0) * float(states('sensor.sensor.wind_display'),0)) | round (4) }}"
state_class: measurement
- name: wind_dir_sine
unique_id: wind_dir_sine
state: "{{ (sin(float(states('sensor.wind_display_dir'), 0)*pi/180, 0) * float(states('sensor.sensor.wind_display'),0)) | round (4) }}"
state_class: measurement
The 2 entities sensor.wind_display & sensor.wind_display_dir monitor a few different sources of local wind conditions to eliminate problems caused by non-availability. The 2nd history display above shows they behave themselves.