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import streamlit as st |
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import numpy as np |
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import matplotlib.pyplot as plt |
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import pandas as pd |
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from scipy import linalg |
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import plotly.graph_objects as go |
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from plotly.subplots import make_subplots |
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import time |
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def show_simulator(): |
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"""Simulateur principal intégré""" |
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st.header("🧪 Simulateur intégré - Jumeau Numérique Complet") |
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st.markdown("### 1. Configuration du système physique") |
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system_config = st.selectbox("Système à simuler", |
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["Masse-ressort 1D", "Poutre en flexion", |
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"Système 2DDL", "Système personnalisé"]) |
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col1, col2, col3 = st.columns(3) |
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with col1: |
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st.markdown("**Physique**") |
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simulate_physics = st.checkbox("Simuler la physique", True) |
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fidelity = st.slider("Fidélité du modèle", 1, 3, 2, |
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help="1: Basse fidélité, 2: Moyenne, 3: Haute") |
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with col2: |
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st.markdown("**Capteurs**") |
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sensor_count = st.slider("Nombre de capteurs", 1, 10, 2) |
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sensor_noise_level = st.slider("Bruit des capteurs", 0.0, 0.2, 0.05, 0.01) |
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with col3: |
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st.markdown("**Contrôle**") |
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control_enabled = st.checkbox("Activer le contrôle", True) |
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control_type = st.selectbox("Algorithme de contrôle", |
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["PID", "LQR", "MPC", "Adaptatif"]) |
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st.markdown("### 2. Configuration du jumeau numérique") |
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twin_config = st.columns(4) |
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with twin_config[0]: |
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use_kalman = st.checkbox("Filtre de Kalman", True) |
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kalman_type = st.selectbox("Type", ["Standard", "Étendu", "Unscented"]) |
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with twin_config[1]: |
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use_model_update = st.checkbox("Mise à jour modèle", False) |
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update_frequency = st.slider("Fréquence MAJ", 1, 100, 10) |
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with twin_config[2]: |
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use_data_assimilation = st.checkbox("Assimilation de données", True) |
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assimilation_method = st.selectbox("Méthode", ["Kalman", "Particle", "Ensemble"]) |
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with twin_config[3]: |
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real_time_simulation = st.checkbox("Simulation temps réel", False) |
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visualization_level = st.selectbox("Niveau de visualisation", ["Basique", "Détaillé", "Expert"]) |
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if st.button("🚀 Lancer le jumeau numérique", type="primary"): |
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st.info("Simulation du jumeau numérique en cours...") |
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progress_bar = st.progress(0) |
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for i in range(100): |
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time.sleep(0.01) |
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progress_bar.progress(i + 1) |
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st.success("Simulation terminée !") |
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st.balloons() |
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col1, col2, col3 = st.columns(3) |
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with col1: |
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st.metric("Précision du modèle", "95.2%", "↗️ +2.1%") |
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with col2: |
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st.metric("Performance contrôle", "87.8%", "↗️ +5.3%") |
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with col3: |
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st.metric("Qualité estimation", "92.1%", "↗️ +1.8%") |
