描述

目標：

創建有助于實現以下目標的設備：

• 雖然允許制造商將藥片的溫度保持在 -40 到 -30 攝氏度之間，但藥片的溫度不得一次保持在 -33 到 -30 度之間超過 20 分鐘。
• 此外，制造商應記錄用于生產片劑的冷卻室何時打開。

項目目標：

Capstone 項目的目標如下。

A. 使用 Bolt 和 LM35 傳感器構建溫度監測系統電路。

• LM35 的 VCC 引腳連接到 Bolt Wifi 模塊的 5v。（白線）
• LM35 的輸出引腳連接到 Bolt Wifi 模塊的 A0（模擬輸入引腳）。（灰線）
• LM35 的 GND 引腳連接到 Gnd。（紫線）

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B. 在 Bolt Cloud 上創建一個產品，以監控來自 LM35 的數據，并將其鏈接到您的 Bolt。

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C. 編寫產品代碼，對 Bolt 發送的數據運行多項式回歸算法。

帶著這個目標，奈杰爾先生成功地滿足了政府設定的第一個條件。使用預測數據，只要圖表預測溫度將保持在 -33 和 -30 攝氏度范圍內超過 20 分鐘，他就能夠及早采取行動。

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代碼 ：

setChartLibrary('google-chart');
setChartTitle('Polynomial Regression');
setChartType('predictionGraph');
setAxisName('time_stamp','temp');
mul(0.0977);
plotChart('time_stamp','temp');

D. 將溫度監測電路保持在冰箱內，關閉冰箱門，讓系統記錄溫度讀數約 2 小時。

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E. 使用您在 2 小時內收到的讀數，設置冰箱內溫度的界限。

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F. 編寫一個 Python 代碼，每 10 秒獲取一次溫度數據，如果溫度超出您在目標“E”中確定的溫度閾值，則發送電子郵件警報。

打開ubuntu服務器。

創建一個文件來存儲憑據：

sudo nano email_conf.py

輸入以下代碼。

MAILGUN_API_KEY = 'This is the private API key which you can find on your Mailgun Dashboard' 
SANDBOX_URL= 'You can find this on your Mailgun Dashboard' 
SENDER_EMAIL = 'This would be test@your SANDBOX_URL'
RECIPIENT_EMAIL = 'Enter your Email ID Here'
API_KEY = 'This is your Bolt Cloud account API key'
DEVICE_ID = 'This is the ID of your Bolt device'
FRAME_SIZE = 10
MUL_FACTOR = 6

創建主代碼文件：

sudo nano capstone_project.py

輸入以下代碼。

import email_conf, json, time, math, statistics
from boltiot import Email, Bolt

max_limit = 52
min_limit = -52

while True:
    response = mybolt.analogRead('A0')
    data = json.loads(response)
    if data['success'] != 1:
        print("There was an error while retriving the data.")
        print("This is the error:"+data['value'])
        time.sleep(10)
        continue

    print ("This is the value "+data['value'])
    sensor_value=0
    try:
        sensor_value = int(data['value'])
        if sensor_value > max_limit or sensor_value < min_limit:
            print("Making request to Mailgun to send an email")
            temperature = (100*sensor_value)/1024
            response = mailer.send_email("Alert!!", "The temperature of the refrigerator is " +str(temperature))
            response_text = json.loads(response.text)
            print("Response received from Mailgun is: " + str(response_text['message']))
    except e:
        print("There was an error while parsing the response: ",e)
        continue

G. 修改 Python 代碼，同時進行 Z 分數分析，并在檢測到異常時打印“有人打開冰箱門”這一行。

H. 調整 Z-score 分析代碼，當有人打開冰箱門時，它會檢測到異常。

最終代碼：

import email_conf, json, time, math, statistics
from boltiot import Email, Bolt

max_limit = 52
min_limit = -52

def compute_bounds(history_data,frame_size,factor):
    if len(history_data)        return None

    if len(history_data)>frame_size :
        del history_data[0:len(history_data)-frame_size]
    Mn=statistics.mean(history_data)
    Variance=0
    for data in history_data :
        Variance += math.pow((data-Mn),2)
    Zn = factor * math.sqrt(Variance / frame_size)
    High_bound = history_data[frame_size-1]+Zn
    Low_bound = history_data[frame_size-1]-Zn
    return [High_bound,Low_bound]

mybolt = Bolt(email_conf.API_KEY, email_conf.DEVICE_ID)
mailer = Email(email_conf.MAILGUN_API_KEY, email_conf.SANDBOX_URL, email_conf.SENDER_EMAIL, email_conf.RECIPIENT_EMAIL)
history_data=[]

while True:
    response = mybolt.analogRead('A0')
    data = json.loads(response)
    if data['success'] != 1:
        print("There was an error while retriving the data.")
        print("This is the error:"+data['value'])
        time.sleep(10)
        continue

    print ("This is the value "+data['value'])
    sensor_value=0
    try:
        sensor_value = int(data['value'])
        if sensor_value > max_limit or sensor_value < min_limit:
            print("Making request to Mailgun to send an email")
            temperature = (100*sensor_value)/1024
            response = mailer.send_email("Alert!!", "The temperature of the refrigerator is " +str(temperature))
            response_text = json.loads(response.text)
            print("Response received from Mailgun is: " + str(response_text['message']))
    except e:
        print("There was an error while parsing the response: ",e)
        continue

    bound = compute_bounds(history_data,email_conf.FRAME_SIZE,email_conf.MUL_FACTOR)
    if not bound:
        required_data_count=email_conf.FRAME_SIZE-len(history_data)
        print("Not enough data to compute Z-score. Need ",required_data_count," more data points")
        history_data.append(int(data['value']))
        time.sleep(10)
        continue

    try:
        if sensor_value > bound[0] or sensor_value < bound[1]:
            print ("Someone has opened the refrigerator door.")
        history_data.append(sensor_value);
    except Exception as e:
        print ("Error",e)
    time.sleep(10)

輸出：

運行代碼：

sudo python3 capstone_project.py

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