基于深度神经网络的终身学习智能家居系统.zip

import RPi.GPIO as GPIO import record import time import csv from myThread import MyThread import sound import snowboydecoder import sys import signal import record_monitor as recordMonitor import LED import threading # =================================================== # 实验控制量 # # ============================================== # ============================================== # 数据记录线程 def record_csv(dd): D11 = 17 l = 22 f = "/sys/bus/w1/devices/28-01201cd1596c/w1_slave" print("开始检测数据") i = 0 a = {} try: while True: time.sleep(1) a['时间'] = time.strftime("%Y%m%d %X", time.localtime()) result = record.D11_temp_humidity(D11) if result: a['温度1'] = record.temperature(f) x, y = result a['温度2'] = y a['湿度'] = x a['亮度'] = record.light(l) with open("htl.csv", "a", encoding="utf-8") as file: writer = csv.writer(file) print(a) for i in a: writer.writerow(i) except: GPIO.cleanup() # =================================================== # 语音对话模块 def signal_handler(signal, frame): global interrupted interrupted = True def interrupt_callback(): global interrupted return interrupted def wake_up(): global detector model = 'snowboy.pmdl' # 唤醒词为 SnowBoy # capture SIGINT signal, e.g., Ctrl+C signal.signal(signal.SIGINT, signal_handler) # 唤醒词检测函数，调整sensitivity参数可修改唤醒词检测的准确性 detector = snowboydecoder.HotwordDetector(model, sensitivity=0.5) print('Listening... please say wake-up word:SnowBoy') # main loop # 回调函数 detected_callback=snowboydecoder.play_audio_file # 修改回调函数可实现我们想要的功能 detector.start(detected_callback=callbacks, # 自定义回调函数 interrupt_check=interrupt_callback, sleep_time=0.03) # 释放资源 detector.terminate() def callbacks(): global detector # 语音唤醒后，提示ding两声 snowboydecoder.play_audio_file() snowboydecoder.play_audio_file() # 关闭snowboy功能 detector.terminate() # 开启语音识别 # recordMonitor.monitor() sound_result = s_sound(0) print("语音识别结果\n") print(sound_result) # 打开snowboy功能 wake_up() # wake_up —> monitor —> wake_up 递归调用 def s_sound(dd): flag = 'y' # while flag.lower() == 'y': # print('请输入数字选择语言：') # devpid = input('1536：普通话(简单英文),1537:普通话(有标点),1737:英语,1637:粤语,1837:四川话\n') devpid = 1536 sound.my_record() TOKEN = sound.getToken(sound.HOST) speech = sound.get_audio(sound.FILEPATH) result = sound.speech2text(speech, TOKEN, int(devpid)) print(result) return result # if type(result) == str: # openbrowser(result.strip('，')) # flag = input('Continue?(y/n):') # ============================================== # 人脸识别模块 # ============================================== # def loop(x): # time.sleep(x) # print("第一个进程，停止结束") # # def loop2(x): # for i in range(2): # time.sleep(x) # print("停止:", i) # print("第二个进程，停止结束") # 线程控制 funcs = [s_sound,record_csv] def main(): nfuncs = range(len(funcs)) threads = [] for i in nfuncs: t = MyThread(funcs[i], 0, funcs[i].__name__) threads.append(t) for i in nfuncs: threads[i].start() # for i in nfuncs: # threads[i].join() # print(threads[i].getResult()) print("all over!") if __name__ == "__main__": main()