🏭 פרויקט מעשי: מערכת חיישנים תעשייתית

import random
import csv
from datetime import datetime, timedelta

def generate_sensor_data(num_samples=100):
    data = []
    start_time = datetime.now()
    for i in range(num_samples):
        timestamp = start_time + timedelta(seconds=i)
        temperature = round(50 + random.gauss(0, 10), 2)
        pressure = round(5.5 + random.gauss(0, 1.5), 2)
        vibration = round(2.5 + random.gauss(0, 0.8), 2)
        data.append({'timestamp': timestamp.strftime('%Y-%m-%d %H:%M:%S'), 'temperature': temperature, 'pressure': pressure, 'vibration': vibration})
    return data

def save_to_csv(data, filename='sensor_data.csv'):
    with open(filename, 'w', newline='', encoding='utf-8') as file:
        fieldnames = ['timestamp', 'temperature', 'pressure', 'vibration']
        writer = csv.DictWriter(file, fieldnames=fieldnames)
        writer.writeheader()
        writer.writerows(data)
    print(f"✅ נשמרו {len(data)} דגימות")

if __name__ == "__main__":
    save_to_csv(generate_sensor_data(100))

import pandas as pd
def analyze_sensor_data(filename='sensor_data.csv'):
    df = pd.read_csv(filename)
    print("\n📊 סטטיסטיקות מערכת:")
    for col in ['temperature', 'pressure', 'vibration']:
        print(f"{col.capitalize()}: Mean={df[col].mean():.2f}")
    critical_temp = df[df['temperature'] > 70]
    print(f"\n⚠️ התראות קריטיות: {len(critical_temp)}")

from fastapi import FastAPI
from pydantic import BaseModel
import csv, datetime

app = FastAPI(title="Industrial Edge API")
class Reading(BaseModel):
    temperature: float
    pressure: float
    vibration: float

@app.post("/sensor")
def receive_data(阅读: Reading):
    ts = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
    with open('realtime_data.csv', 'a', newline='') as f:
        writer = csv.writer(f)
        writer.writerow([ts, 阅读.temperature, 阅读.pressure, 阅读.vibration])
    return {"status": "received"}

import streamlit as st
import pandas as pd
import plotly.express as px
import time

st.set_page_config(page_title="Industrial Dashboard", layout="wide")
st.title("🏭 Real-Time Factory Monitor")

while True:
    try:
        df = pd.read_csv('realtime_data.csv', names=['time', 'temp', 'pres', 'vib'])
        st.metric("Temperature", f"{df['temp'].iloc[-1]}°C")
        st.plotly_chart(px.line(df.tail(20), x='time', y=['temp', 'pres', 'vib']))
    except:
        st.info("Waiting for data...")
    time.sleep(1)