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ESPHome sample configuration for an HX711 powered Smart Scale including Auto-Tare functionality.
## Node configuration ##
esphome:
name: smart_scale
platform: ESP8266
board: nodemcuv2
globals:
- id: initial_zero
type: float
restore_value: yes
# NOTE: make sure to align this value to the one used in "calibrate_linear" below!
initial_value: '-481989'
- id: auto_tare_enabled
type: bool
restore_value: yes
initial_value: 'true'
- id: auto_tare_difference
type: float
restore_value: yes
initial_value: '0'
- id: manual_tare_flag
type: bool
restore_value: no
initial_value: 'false'
wifi:
fast_connect: True # needed for hidden SSID
networks:
- ssid: 'YourSSID'
bssid: '00:00:00:00:00:00'
password: 'YourPassword'
hidden: true
#manual_ip:
# static_ip: 192.168.5.49
# gateway: 192.168.5.1
# subnet: 255.255.255.0
api:
password: "YourApiPassword"
# Enable logging
logger:
level: ERROR
ota:
password: 'YourOtaPassword'
status_led:
pin:
number: GPIO2
inverted: True
switch:
## Switch to enable/disable the auto tare feature
- platform: template
id: smart_scale_continuous_tare_enabled
name: "Smart Scale Continuous Tare Enabled"
lambda: |-
return id(auto_tare_enabled);
turn_on_action:
- lambda: |-
id(auto_tare_enabled) = true;
turn_off_action:
- lambda: |-
id(auto_tare_enabled) = false;
## Switch used to initiate a manual tare
- platform: template
id: smart_scale_manual_tare_action_switch
name: "Smart Scale Manual Tare Action"
lambda: |-
return id(manual_tare_flag);
turn_on_action:
- lambda: |-
id(auto_tare_difference) = id(initial_zero) - id(smart_scale_hx711_value_raw).state;
- switch.turn_off: smart_scale_manual_tare_action_switch
turn_off_action:
- lambda: |-
id(manual_tare_flag) = false;
## Sensor Configuration ##
sensor:
# template sensors from global variables
- platform: template
id: smart_scale_initial_zero
name: "Smart Scale Initial Zero"
lambda: |-
return id(initial_zero);
update_interval: 1s
- platform: template
id: smart_scale_auto_tare_difference
name: "Smart Scale Auto Tare Difference"
lambda: |-
return id(auto_tare_difference);
update_interval: 1s
# sensors imported from home assistant
- platform: homeassistant
id: homeassistant_initial_zero
entity_id: input_number.smart_scale_initial_zero
on_value:
then:
- lambda: |-
id(initial_zero) = x;
# RAW Scale input
- platform: hx711
id: smart_scale_hx711_value_raw
internal: True
dout_pin: D0
clk_pin: D1
gain: 128
unit_of_measurement: kg
accuracy_decimals: 3
update_interval: 0.2s
filters:
- sliding_window_moving_average:
window_size: 3
send_every: 1
on_value:
then:
- sensor.template.publish:
id: smart_scale_hx711_value
state: !lambda 'return id(smart_scale_hx711_value_raw).state;'
- if:
condition:
and:
- lambda: 'return id(auto_tare_enabled);'
# current smart scale value is below approx. 10KG (raw value -275743) aka nobody is standing on the scale
- lambda: 'return id(smart_scale_hx711_value).state < 10.0;'
then:
- if:
condition:
# current raw scale value is below expected zero value
- lambda: 'return id(smart_scale_hx711_value_raw).state < (id(initial_zero) - id(auto_tare_difference));'
then:
# INcrease Auto-Tare offset to slowly align real zero value with expected zero value
- lambda: |-
id(auto_tare_difference) += 10;
else:
# DEcrease Auto-Tare offset to slowly align real zero value with expected zero value
- lambda: |-
id(auto_tare_difference) -= 10;
# Mapped value to KG
- platform: template
id: smart_scale_hx711_value
name: "Smart Scale HX711 Value"
internal: False
filters:
# apply auto_tare difference
- lambda: 'return x + id(auto_tare_difference);'
# apply rough calibration
- calibrate_linear:
# retrieve these values by evaluating the raw values with loads of known mass.
# note that a bigger difference between measurements usually results in higher resolution,
# so measure 0 Kg and the highest known mass you have (like f.ex. your own weight, measured by a normal scale with good accuracy)
- -481989 -> 0
- 1339163 -> 88.3
# map values below 0.1 to 0 (to decrease value changes due to random fluctuation)
- lambda: |-
if (x <= 0.1) {
return 0.0;
} else {
return x;
}
unit_of_measurement: kg
accuracy_decimals: 2
update_interval: 0.2s
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