ntpheat
Cloned from here: https://www.satsignal.eu/ntp/Raspberry-Pi-ntpheat.html
- ntpheat.py
#!/usr/bin/env python # # generate some heat! # # Wrap your RasPi in bubble wrap. Then run ntpheat in the background. # It will try to stabilize the CPU temperature at 65C by default. # Sometimes one copy of ntpheat can use 100% of one CPU and # still not heat up your RasPi as much as you want. The temptation # is to add more insulation to your RasPi, but then it will overshoot # your target temperature if your load factor goes high. # # The solution is to run more than one copy of ntpheat. This is # easy to do with the -c option. # # To run 3 copies of ntpheat: ntpheat -c 3 import argparse import hashlib import os import sys import time # Work with argvars parser = argparse.ArgumentParser(description="make heat") parser.add_argument('-c', '--copies', default=[1], dest='copies', help="Number of copies to run. Default is 1", nargs=1, type=int) parser.add_argument('-t', '--temp', default=[65.0], dest='target_temp', help="Temperature to hold. Default is 65.0", nargs=1, type=float) parser.add_argument('-w', '--wait', default=[0.001], dest='wait', help="Set delay time in seconds, default is 0.1", nargs=1, type=float) args = parser.parse_args() args.copies[0] -= 1 while args.copies[0]: args.copies[0] -= 1 pid = os.fork() if pid: # I am the fork break zone0 = '/sys/class/thermal/thermal_zone0/temp' cnt = 0 m = hashlib.md5() temp = 0 max_cnt = args.wait[0] * 200000 # on a RasPi 3 the temp steps seem to be about 0.537 to 0.539C temp_gate = args.target_temp[0] while True: # on a RasPi 3, 200,000 of the m.update() can be one second delta = temp_gate - temp if 0 < delta: # heat it up m.update("Nobody inspects the spammish repetition") else: cnt = max_cnt # cools off slower than it heats up. # undocumented Python 'feature', no sleep less than 1 milli Sec sleep = args.wait[0] * 10.0 * -delta if 0.001 > sleep: sleep = 0.001 time.sleep(sleep) cnt += 1 # read the temperature every max_cnt if max_cnt < cnt: cnt = 0 zone_data = open(zone0, 'r') for line in zone_data: temp = float(line) / 1000 zone_data.close()