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| import random | |
| import pandas as pd | |
| import streamlit as st | |
| import pydeck as pdk | |
| from datetime import datetime, timedelta | |
| import altair as alt | |
| # ---- Constants ---- | |
| POLES_PER_SITE = 12 | |
| SITES = { | |
| "Hyderabad": [17.385044, 78.486671], | |
| "Gadwal": [16.2351, 77.8052], | |
| "Kurnool": [15.8281, 78.0373], | |
| "Ballari": [12.9716, 77.5946] | |
| } | |
| # ---- Helper Functions ---- | |
| def generate_location(base_lat, base_lon): | |
| return [ | |
| base_lat + random.uniform(-0.02, 0.02), | |
| base_lon + random.uniform(-0.02, 0.02) | |
| ] | |
| def simulate_pole(pole_id, site_name): | |
| lat, lon = generate_location(*SITES[site_name]) | |
| solar_kwh = round(random.uniform(3.0, 7.5), 2) | |
| wind_kwh = round(random.uniform(0.5, 2.0), 2) | |
| power_required = round(random.uniform(4.0, 8.0), 2) | |
| total_power = solar_kwh + wind_kwh | |
| power_status = 'Sufficient' if total_power >= power_required else 'Insufficient' | |
| vibration = round(random.uniform(0, 5), 2) | |
| camera_status = random.choice(['Online', 'Offline']) | |
| alert_level = 'Green' | |
| if vibration > 3: | |
| alert_level = 'Yellow' | |
| if vibration > 4.5: | |
| alert_level = 'Red' | |
| health_score = max(0, 100 - (vibration * 10)) | |
| timestamp = datetime.now() - timedelta(hours=random.randint(0, 6)) | |
| return { | |
| 'Pole ID': f'{site_name[:3].upper()}-{pole_id:03}', | |
| 'Site': site_name, | |
| 'Latitude': lat, | |
| 'Longitude': lon, | |
| 'Solar (kWh)': solar_kwh, | |
| 'Wind (kWh)': wind_kwh, | |
| 'Power Required (kWh)': power_required, | |
| 'Total Power (kWh)': total_power, | |
| 'Power Status': power_status, | |
| 'Vibration (g)': vibration, | |
| 'Camera Status': camera_status, | |
| 'Health Score': round(health_score, 2), | |
| 'Alert Level': alert_level, | |
| 'Last Checked': timestamp.strftime('%Y-%m-%d %H:%M:%S') | |
| } | |
| # ---- Streamlit UI ---- | |
| st.set_page_config(page_title="Smart Pole Monitoring", layout="wide") | |
| st.title("π Smart Renewable Pole Monitoring - Multi-Site") | |
| selected_site = st.selectbox("Select a site to view:", options=list(SITES.keys()), index=0) | |
| if selected_site in SITES: | |
| with st.spinner(f"Simulating poles at {selected_site}..."): | |
| poles_data = [simulate_pole(i + 1, site) for site in SITES for i in range(POLES_PER_SITE)] | |
| df = pd.DataFrame(poles_data) | |
| site_df = df[df['Site'] == selected_site] | |
| # Summary Metrics | |
| col1, col2, col3 = st.columns(3) | |
| col1.metric("Total Poles", site_df.shape[0]) | |
| col2.metric("Red Alerts", site_df[site_df['Alert Level'] == 'Red'].shape[0]) | |
| col3.metric("Power Insufficiencies", site_df[site_df['Power Status'] == 'Insufficient'].shape[0]) | |
| # Table View | |
| st.subheader(f"π Pole Data Table for {selected_site}") | |
| with st.expander("Filter Options"): | |
| alert_filter = st.multiselect("Alert Level", options=site_df['Alert Level'].unique(), default=site_df['Alert Level'].unique()) | |
| camera_filter = st.multiselect("Camera Status", options=site_df['Camera Status'].unique(), default=site_df['Camera Status'].unique()) | |
| filtered_df = site_df[(site_df['Alert Level'].isin(alert_filter)) & (site_df['Camera Status'].isin(camera_filter))] | |
| st.dataframe(filtered_df, use_container_width=True) | |
| # ---- Energy Chart ---- | |
| st.subheader("π Energy Generation per Pole") | |
| energy_long_df = site_df[['Pole ID', 'Solar (kWh)', 'Wind (kWh)']].melt( | |
| id_vars='Pole ID', | |
| value_vars=['Solar (kWh)', 'Wind (kWh)'], | |
| var_name='Energy Source', | |
| value_name='kWh' | |
| ) | |
| bar_chart = alt.Chart(energy_long_df).mark_bar().encode( | |
| x=alt.X('Pole ID:N', sort=None, title='Pole ID'), | |
| y=alt.Y('kWh:Q'), | |
| color='Energy Source:N', | |
| tooltip=['Pole ID', 'Energy Source', 'kWh'] | |
| ).properties( | |
| width=800, | |
| height=400 | |
| ).configure_axisX(labelAngle=45) | |
| st.altair_chart(bar_chart, use_container_width=True) | |
| # ---- Fault Type Filter ---- | |
| st.subheader("β οΈ Map Filter: Select Fault Type(s)") | |
| fault_options = ['High Vibration (>3g)', 'Camera Offline', 'Power Insufficient'] | |
| selected_faults = st.multiselect("Show poles with these fault conditions:", options=fault_options, default=fault_options) | |
| def fault_condition(row): | |
| return ( | |
| ('High Vibration (>3g)' in selected_faults and row['Vibration (g)'] > 3) or | |
| ('Camera Offline' in selected_faults and row['Camera Status'] == 'Offline') or | |
| ('Power Insufficient' in selected_faults and row['Power Status'] == 'Insufficient') | |
| ) | |
| fault_df = site_df[site_df.apply(fault_condition, axis=1)] if selected_faults else site_df | |
| # ---- Map Color Logic ---- | |
| def get_color(alert): | |
| if alert == 'Green': | |
| return [0, 255, 0, 160] | |
| elif alert == 'Yellow': | |
| return [255, 255, 0, 160] | |
| elif alert == 'Red': | |
| return [255, 0, 0, 160] | |
| return [128, 128, 128, 160] | |
| fault_df['color'] = fault_df['Alert Level'].apply(get_color) | |
| # ---- Map ---- | |
| st.subheader("π Pole Locations with Selected Faults") | |
| st.pydeck_chart(pdk.Deck( | |
| initial_view_state=pdk.ViewState( | |
| latitude=SITES[selected_site][0], | |
| longitude=SITES[selected_site][1], | |
| zoom=12, | |
| pitch=50 | |
| ), | |
| layers=[ | |
| pdk.Layer( | |
| 'ScatterplotLayer', | |
| data=fault_df, | |
| get_position='[Longitude, Latitude]', | |
| get_color='color', | |
| get_radius=100, | |
| pickable=True, | |
| ) | |
| ], | |
| tooltip={ | |
| "html": """ | |
| <b>Pole ID:</b> {Pole ID}<br/> | |
| <b>Alert Level:</b> {Alert Level}<br/> | |
| <b>Health Score:</b> {Health Score}<br/> | |
| <b>Power Status:</b> {Power Status}<br/> | |
| <b>Vibration (g):</b> {Vibration (g)}<br/> | |
| <b>Camera:</b> {Camera Status}<br/> | |
| <b>Solar (kWh):</b> {Solar (kWh)}<br/> | |
| <b>Wind (kWh):</b> {Wind (kWh)}<br/> | |
| <b>Last Checked:</b> {Last Checked} | |
| """, | |
| "style": { | |
| "backgroundColor": "steelblue", | |
| "color": "white", | |
| "fontSize": "12px" | |
| } | |
| } | |
| )) | |