klipper-dgus/klippy/extras/adc_temperature.py

121 lines
5.2 KiB
Python

# Obtain temperature using linear interpolation of ADC values
#
# Copyright (C) 2016-2018 Kevin O'Connor <kevin@koconnor.net>
#
# This file may be distributed under the terms of the GNU GPLv3 license.
import logging, bisect
SAMPLE_TIME = 0.001
SAMPLE_COUNT = 8
REPORT_TIME = 0.300
# Linear style conversion chips calibrated with two temp measurements
class Linear:
def __init__(self, config, params):
ppins = config.get_printer().lookup_object('pins')
self.mcu_adc = ppins.setup_pin('adc', config.get('sensor_pin'))
self.mcu_adc.setup_adc_callback(REPORT_TIME, self.adc_callback)
self.temperature_callback = None
self.adc_samples = []
self.slope_samples = []
self.calc_coefficients(config, params)
def calc_coefficients(self, config, params):
adc_voltage = config.getfloat('adc_voltage', 5., above=0.)
last_volt = last_temp = None
for volt, temp in sorted([(v, t) for t, v in params]):
adc = volt / adc_voltage
if adc < 0. or adc > 1.:
logging.warn("Ignoring adc sample %.3f/%.3f in heater %s",
temp, volt, config.get_name())
continue
if last_volt is None:
last_volt = volt
last_temp = temp
continue
if volt <= last_volt:
raise config.error("adc_temperature duplicate voltage")
slope = (temp - last_temp) / (volt - last_volt)
gain = adc_voltage * slope
offset = last_temp - last_volt * slope
if self.slope_samples and self.slope_samples[-1] == (gain, offset):
continue
last_temp = temp
last_volt = volt
self.adc_samples.append(adc)
self.slope_samples.append((gain, offset))
if not self.adc_samples:
raise config.error(
"adc_temperature needs two volt and temperature measurements")
self.adc_samples[-1] = 1.
def setup_minmax(self, min_temp, max_temp):
adc_range = [self.calc_adc(min_temp), self.calc_adc(max_temp)]
self.mcu_adc.setup_minmax(SAMPLE_TIME, SAMPLE_COUNT,
minval=min(adc_range), maxval=max(adc_range))
def setup_callback(self, temperature_callback):
self.temperature_callback = temperature_callback
def get_report_time_delta(self):
return REPORT_TIME
def adc_callback(self, read_time, read_value):
pos = bisect.bisect(self.adc_samples, read_value)
gain, offset = self.slope_samples[pos]
temp = read_value * gain + offset
self.temperature_callback(read_time + SAMPLE_COUNT * SAMPLE_TIME, temp)
def calc_adc(self, temp):
temps = [adc * gain + offset for adc, (gain, offset) in zip(
self.adc_samples, self.slope_samples)]
if temps[0] < temps[-1]:
pos = min([i for i in range(len(temps)) if temps[i] >= temp]
+ [len(temps) - 1])
else:
pos = min([i for i in range(len(temps)) if temps[i] <= temp]
+ [len(temps) - 1])
gain, offset = self.slope_samples[pos]
return (temp - offset) / gain
# Custom defined sensors from the config file
class CustomLinear:
def __init__(self, config):
self.name = " ".join(config.get_name().split()[1:])
self.params = []
for i in range(1, 1000):
t = config.getfloat("temperature%d" % (i,), None)
if t is None:
break
v = config.getfloat("voltage%d" % (i,))
self.params.append((t, v))
def create(self, config):
return Linear(config, self.params)
AD595 = [
(0., .0027), (10., .101), (20., .200), (25., .250), (30., .300), (40., .401),
(50., .503), (60., .605), (80., .810), (100., 1.015), (120., 1.219),
(140., 1.420), (160., 1.620), (180., 1.817), (200., 2.015), (220., 2.213),
(240., 2.413), (260., 2.614), (280., 2.817), (300., 3.022), (320., 3.227),
(340., 3.434), (360., 3.641), (380., 3.849), (400., 4.057), (420., 4.266),
(440., 4.476), (460., 4.686), (480., 4.896)
]
PT100 = [
(0, 0.00), (1, 1.11), (10, 1.15), (20, 1.20), (30, 1.24), (40, 1.28),
(50, 1.32), (60, 1.36), (70, 1.40), (80, 1.44), (90, 1.48), (100, 1.52),
(110, 1.56), (120, 1.61), (130, 1.65), (140, 1.68), (150, 1.72), (160, 1.76),
(170, 1.80), (180, 1.84), (190, 1.88), (200, 1.92), (210, 1.96), (220, 2.00),
(230, 2.04), (240, 2.07), (250, 2.11), (260, 2.15), (270, 2.18), (280, 2.22),
(290, 2.26), (300, 2.29), (310, 2.33), (320, 2.37), (330, 2.41), (340, 2.44),
(350, 2.48), (360, 2.51), (370, 2.55), (380, 2.58), (390, 2.62), (400, 2.66),
(500, 3.00), (600, 3.33), (700, 3.63), (800, 3.93), (900, 4.21),
(1000, 4.48), (1100, 4.73)
]
def load_config(config):
# Register default sensors
pheater = config.get_printer().lookup_object("heater")
for sensor_type, params in [("AD595", AD595), ("PT100 INA826", PT100)]:
func = (lambda config, params=params: Linear(config, params))
pheater.add_sensor(sensor_type, func)
def load_config_prefix(config):
linear = CustomLinear(config)
pheater = config.get_printer().lookup_object("heater")
pheater.add_sensor(linear.name, linear.create)