描述

目標(biāo)：

創(chuàng)建有助于實(shí)現(xiàn)以下目標(biāo)的設(shè)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(yīng)記錄用于生產(chǎn)片劑的冷卻室何時(shí)打開。

項(xiàng)目目標(biāo)：

Capstone 項(xiàng)目的目標(biāo)如下。

A. 使用 Bolt 和 LM35 傳感器構(gòu)建溫度監(jiān)測系統(tǒng)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）

?

B. 在 Bolt Cloud 上創(chuàng)建一個(gè)產(chǎn)品，以監(jiān)控來自 LM35 的數(shù)據(jù)，并將其鏈接到您的 Bolt。

?

?

C. 編寫產(chǎn)品代碼，對 Bolt 發(fā)送的數(shù)據(jù)運(yùn)行多項(xiàng)式回歸算法。

帶著這個(gè)目標(biāo)，奈杰爾先生成功地滿足了政府設(shè)定的第一個(gè)條件。使用預(yù)測數(shù)據(jù)，只要圖表預(yù)測溫度將保持在 -33 和 -30 攝氏度范圍內(nèi)超過 20 分鐘，他就能夠及早采取行動(dòng)。

?

?

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(jiān)測電路保持在冰箱內(nèi)，關(guān)閉冰箱門，讓系統(tǒng)記錄溫度讀數(shù)約 2 小時(shí)。

?

?

E. 使用您在 2 小時(shí)內(nèi)收到的讀數(shù)，設(shè)置冰箱內(nèi)溫度的界限。

?

F. 編寫一個(gè) Python 代碼，每 10 秒獲取一次溫度數(shù)據(jù)，如果溫度超出您在目標(biāo)“E”中確定的溫度閾值，則發(fā)送電子郵件警報(bào)。

打開ubuntu服務(wù)器。

創(chuàng)建一個(gè)文件來存儲(chǔ)憑據(jù)：

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(chuàng)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(shí)進(jìn)行 Z 分?jǐn)?shù)分析，并在檢測到異常時(shí)打印“有人打開冰箱門”這一行。

H. 調(diào)整 Z-score 分析代碼，當(dāng)有人打開冰箱門時(shí)，它會(huì)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(yùn)行代碼：

sudo python3 capstone_project.py

?

?

?