Spaces:
Sleeping
Sleeping
File size: 2,224 Bytes
855f896 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
import pandas as pd
import numpy as np
import datetime
def simulate_data(n=10, faults=True):
today = datetime.date.today()
# Generating simulated pole IDs
poles = [f"Pole_{i+1:03}" for i in range(n)]
# Data structure to store the simulated data
data = []
for pole in poles:
# Randomized values for solar and wind power generation
solar = round(np.random.uniform(3.0, 7.5), 2)
wind = round(np.random.uniform(0.5, 2.0), 2)
required = round(np.random.uniform(1.0, 1.5), 2)
total = solar + wind
# Simulate camera status (randomly online or offline)
cam = np.random.choice(['Online', 'Offline'], p=[0.85, 0.15]) if faults else "Online"
# Randomized tilt and vibration values
tilt = round(np.random.uniform(0, 12), 1)
vib = round(np.random.uniform(0.1, 2.5), 2)
sufficient = "Yes" if total >= required else "No"
# Create anomalies if faults are enabled
anomaly = []
if faults:
if solar < 4.0:
anomaly.append("Low Solar Output")
if wind < 0.7:
anomaly.append("Low Wind Output")
if tilt > 10:
anomaly.append("Pole Tilt Risk")
if vib > 2.0:
anomaly.append("Vibration Alert")
if cam == "Offline":
anomaly.append("Camera Offline")
if sufficient == "No":
anomaly.append("Power Insufficient")
# Determine alert level based on anomalies
alert = "Green"
if len(anomaly) == 1:
alert = "Yellow"
elif len(anomaly) > 1:
alert = "Red"
# Append the data for the current pole
data.append({
"Pole ID": pole,
"Date": today,
"Solar Gen (kWh)": solar,
"Wind Gen (kWh)": wind,
"Power Required (kWh)": required,
"Power Sufficient": sufficient,
"Camera Status": cam,
"Tilt (°)": tilt,
"Vibration (g)": vib,
"Anomalies": "; ".join(anomaly) if anomaly else "None",
"Alert Level": alert
})
return pd.DataFrame(data)
|