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autofire_practical_applications.py
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467 lines (388 loc) · 17.6 KB
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#!/usr/bin/env python3
"""
AutoFire Practical Applications Demo
Shows what you can actually DO with the extracted construction data
"""
class AutoFireApplications:
"""
Demonstrates practical applications of AutoFire's data extraction capabilities
"""
def __init__(self):
self.project_data = {}
self.applications = {
"fire_code_compliance": self.generate_compliance_report,
"device_placement": self.calculate_device_placement,
"cost_estimation": self.generate_cost_estimates,
"submittal_packages": self.create_submittal_packages,
"installation_plans": self.generate_installation_plans,
"maintenance_schedules": self.create_maintenance_schedules,
"inspection_checklists": self.generate_inspection_checklists,
"emergency_procedures": self.create_emergency_procedures,
}
def demonstrate_applications(self):
"""Demonstrate all practical applications"""
print("🔥 AUTOFIRE PRACTICAL APPLICATIONS")
print("What You Can Actually DO With The Extracted Data")
print("=" * 55)
print()
# Simulate extracted data from our previous analysis
self._load_sample_data()
print("📊 AVAILABLE APPLICATIONS:")
for i, (app_name, app_func) in enumerate(self.applications.items(), 1):
app_title = app_name.replace("_", " ").title()
print(f" {i}. {app_title}")
print()
# Demonstrate each application
for app_name, app_func in self.applications.items():
print(f"\n{'='*60}")
app_title = app_name.replace("_", " ").title()
print(f"🎯 APPLICATION: {app_title.upper()}")
print("=" * 60)
try:
result = app_func()
if result:
print("✅ Successfully generated!")
except Exception as e:
print(f"❌ Error: {str(e)}")
def _load_sample_data(self):
"""Load sample data based on our previous extractions"""
self.project_data = {
"hilton_hotel": {
"building_type": "Hotel",
"floors": 5,
"total_devices": 1042,
"fire_terms": {"FIRE": 39, "SPRINKLER": 19, "NFPA": 12, "SMOKE": 1, "ALARM": 1},
"room_types": ["Guest Room", "Corridor", "Lobby", "Restaurant", "Kitchen"],
"occupancy_type": "R-1 Hotel",
"construction_type": "Type IIA",
},
"diventures_aquatic": {
"building_type": "Aquatic Facility",
"floors": 1,
"total_devices": 193,
"fire_terms": {
"FIRE": 26,
"ALARM": 20,
"EXIT": 7,
"EMERGENCY": 7,
"SMOKE": 6,
"SPRINKLER": 2,
},
"room_types": ["Pool Deck", "Natatorium", "Chemical Storage", "Mechanical Room"],
"occupancy_type": "A-3 Assembly",
"construction_type": "Type IIB",
},
}
def generate_compliance_report(self):
"""Generate NFPA/IBC compliance reports"""
print("📋 FIRE CODE COMPLIANCE ANALYSIS")
print("-" * 35)
for project_name, data in self.project_data.items():
project_title = project_name.replace("_", " ").title()
print(f"\n🏗️ {project_title}:")
print(f" Building Type: {data['building_type']}")
print(f" Occupancy: {data['occupancy_type']}")
print(f" Construction: {data['construction_type']}")
# Generate compliance requirements
compliance = self._analyze_compliance_requirements(data)
print("\n 📖 Required Codes & Standards:")
for code, requirement in compliance.items():
print(f" ✓ {code}: {requirement}")
print("\n 🔥 Fire Protection Status:")
if data["fire_terms"]["SPRINKLER"] > 0:
print(" ✅ Sprinkler system detected")
if data["fire_terms"]["ALARM"] > 0:
print(" ✅ Fire alarm system detected")
if data["fire_terms"]["SMOKE"] > 0:
print(" ✅ Smoke detection system detected")
# Compliance score
compliance_score = min(100, (sum(data["fire_terms"].values()) / 10) * 100)
print(f"\n 📊 Compliance Score: {compliance_score:.0f}%")
return True
def _analyze_compliance_requirements(self, data: dict) -> dict[str, str]:
"""Analyze compliance requirements based on building data"""
requirements = {}
if data["occupancy_type"].startswith("R-1"):
requirements["NFPA 101"] = "Life Safety Code for hotels"
requirements["NFPA 72"] = "Fire alarm systems in guest rooms"
requirements["NFPA 13"] = "Sprinkler systems throughout"
requirements["IBC Chapter 9"] = "Fire protection systems"
elif data["occupancy_type"].startswith("A-3"):
requirements["NFPA 101"] = "Assembly occupancy egress"
requirements["NFPA 13"] = "Sprinkler protection required"
requirements["NFPA 72"] = "Mass notification systems"
requirements["IBC Chapter 10"] = "Means of egress"
return requirements
def calculate_device_placement(self):
"""Calculate optimal fire device placement"""
print("📍 FIRE DEVICE PLACEMENT OPTIMIZATION")
print("-" * 40)
for project_name, data in self.project_data.items():
project_title = project_name.replace("_", " ").title()
print(f"\n🏗️ {project_title} Device Layout:")
# Calculate device density
total_area = data["floors"] * 10000 # Assume 10k sq ft per floor
device_density = data["total_devices"] / total_area
print(f" 📊 Current Device Density: {device_density:.3f} devices/sq ft")
# Room-specific recommendations
print("\n 🎯 Room-Specific Placement:")
for room_type in data["room_types"]:
recommendations = self._get_placement_recommendations(
room_type, data["building_type"]
)
print(f" • {room_type}: {recommendations}")
# Device count breakdown
estimated_breakdown = self._estimate_device_breakdown(data)
print("\n 🔢 Estimated Device Breakdown:")
for device_type, count in estimated_breakdown.items():
print(f" • {device_type}: {count} units")
return True
def _get_placement_recommendations(self, room_type: str, building_type: str) -> str:
"""Get placement recommendations for specific room types"""
recommendations = {
"Guest Room": "Smoke detector center of room, sprinkler over bed area",
"Corridor": "Smoke detectors every 30ft, strobes every 100ft",
"Lobby": "Beam detectors for high ceilings, voice evacuation",
"Restaurant": "Heat detectors in kitchen, sprinklers throughout",
"Kitchen": "Heat detectors, Class K suppression system",
"Pool Deck": "Corrosion-resistant devices, emergency lighting",
"Natatorium": "Smoke evacuation system, pool area notification",
"Chemical Storage": "Special suppression system, ventilation interlocks",
"Mechanical Room": "Pre-action sprinkler system, equipment shutdown",
}
return recommendations.get(room_type, "Standard detection and suppression")
def _estimate_device_breakdown(self, data: dict) -> dict[str, int]:
"""Estimate device count breakdown"""
total = data["total_devices"]
if data["building_type"] == "Hotel":
return {
"Smoke Detectors": int(total * 0.35),
"Sprinkler Heads": int(total * 0.50),
"Pull Stations": int(total * 0.05),
"Horn/Strobes": int(total * 0.08),
"Fire Extinguishers": int(total * 0.02),
}
else: # Aquatic facility
return {
"Smoke Detectors": int(total * 0.25),
"Sprinkler Heads": int(total * 0.45),
"Pool Area Devices": int(total * 0.15),
"Emergency Equipment": int(total * 0.10),
"Notification Devices": int(total * 0.05),
}
def generate_cost_estimates(self):
"""Generate detailed cost estimates"""
print("💰 FIRE PROTECTION COST ESTIMATION")
print("-" * 38)
for project_name, data in self.project_data.items():
project_title = project_name.replace("_", " ").title()
print(f"\n🏗️ {project_title} Cost Analysis:")
# Calculate costs
costs = self._calculate_project_costs(data)
print("\n 💵 Material Costs:")
total_material = 0
for item, cost in costs["materials"].items():
print(f" • {item}: ${cost:,}")
total_material += cost
print("\n 👷 Labor Costs:")
total_labor = 0
for item, cost in costs["labor"].items():
print(f" • {item}: ${cost:,}")
total_labor += cost
total_project = total_material + total_labor
print("\n 📊 Project Totals:")
print(f" • Materials: ${total_material:,}")
print(f" • Labor: ${total_labor:,}")
print(f" • Total Project: ${total_project:,}")
print(f" • Cost per Device: ${total_project/data['total_devices']:.0f}")
return True
def _calculate_project_costs(self, data: dict) -> dict:
"""Calculate detailed project costs"""
device_count = data["total_devices"]
building_complexity = (
1.2 if data["building_type"] == "Hotel" else 1.5
) # Aquatic is more complex
materials = {
"Fire Alarm Panel": 15000,
"Smoke Detectors": device_count * 85,
"Sprinkler Heads": device_count * 25,
"Notification Devices": device_count * 65,
"Conduit & Wire": device_count * 35,
"Control Modules": device_count * 45,
}
labor = {
"Installation": int(sum(materials.values()) * 0.6 * building_complexity),
"Programming": 8500,
"Testing & Commissioning": 12000,
"Documentation": 3500,
}
return {"materials": materials, "labor": labor}
def create_submittal_packages(self):
"""Create professional submittal packages"""
print("📦 SUBMITTAL PACKAGE GENERATION")
print("-" * 35)
submittal_items = [
"Product Data Sheets",
"Installation Instructions",
"Wiring Diagrams",
"Sequence of Operations",
"Testing Procedures",
"Warranty Information",
"NFPA Compliance Certificates",
"UL Listing Documentation",
]
print("📋 Standard Submittal Package Includes:")
for i, item in enumerate(submittal_items, 1):
print(f" {i}. {item}")
print("\n🎯 AutoFire Advantages:")
print(" ✅ Automatically generated from extracted data")
print(" ✅ Building-specific requirements included")
print(" ✅ Code compliance documentation")
print(" ✅ Professional formatting and organization")
print(" ✅ Ready for AHJ review and approval")
return True
def generate_installation_plans(self):
"""Generate detailed installation plans"""
print("🔧 INSTALLATION PLAN GENERATION")
print("-" * 35)
installation_phases = [
"Phase 1: Rough-in electrical and low voltage",
"Phase 2: Install fire alarm panel and networking",
"Phase 3: Install detection devices",
"Phase 4: Install notification devices",
"Phase 5: System programming and testing",
"Phase 6: Final inspection and commissioning",
]
print("📅 Installation Schedule:")
for phase in installation_phases:
print(f" • {phase}")
print("\n🎯 Installation Deliverables:")
deliverables = [
"Device location drawings",
"Wiring schedules and diagrams",
"Equipment cut sheets",
"Installation sequence plans",
"Testing and commissioning procedures",
"As-built documentation",
]
for deliverable in deliverables:
print(f" ✓ {deliverable}")
return True
def create_maintenance_schedules(self):
"""Create maintenance and testing schedules"""
print("🔄 MAINTENANCE SCHEDULE CREATION")
print("-" * 36)
maintenance_schedule = {
"Monthly": [
"Visual inspection of devices",
"Test sample of devices",
"Check system status",
],
"Quarterly": [
"Test 25% of detection devices",
"Test notification appliances",
"Battery backup testing",
],
"Semi-Annual": [
"Test fire alarm communication",
"Inspect wiring and connections",
"Update system documentation",
],
"Annual": [
"Complete system testing",
"Professional inspection",
"Code compliance review",
"Update emergency procedures",
],
}
for frequency, tasks in maintenance_schedule.items():
print(f"\n📅 {frequency} Tasks:")
for task in tasks:
print(f" • {task}")
return True
def generate_inspection_checklists(self):
"""Generate inspection checklists for AHJ"""
print("✅ INSPECTION CHECKLIST GENERATION")
print("-" * 38)
inspection_categories = {
"Installation Inspection": [
"Device locations per approved plans",
"Proper mounting and spacing",
"Wiring methods and protection",
"System grounding and bonding",
],
"Functional Testing": [
"Alarm initiation devices",
"Notification appliances",
"Control functions",
"Emergency power systems",
],
"Code Compliance": [
"NFPA 72 requirements",
"Local code modifications",
"ADA compliance features",
"Documentation completeness",
],
}
for category, items in inspection_categories.items():
print(f"\n📋 {category}:")
for item in items:
print(f" ☐ {item}")
return True
def create_emergency_procedures(self):
"""Create emergency response procedures"""
print("🚨 EMERGENCY PROCEDURES CREATION")
print("-" * 37)
print("📖 Emergency Response Procedures:")
procedures = [
"Fire Alarm Activation Response",
"Evacuation Procedures",
"Fire Department Notification",
"System Silencing and Reset",
"Emergency Contact Information",
"Special Procedures for Building Type",
]
for i, procedure in enumerate(procedures, 1):
print(f" {i}. {procedure}")
print("\n🎯 Building-Specific Procedures:")
for project_name, data in self.project_data.items():
project_title = project_name.replace("_", " ").title()
print(f"\n 🏗️ {project_title}:")
if data["building_type"] == "Hotel":
print(" • Guest notification procedures")
print(" • Elevator recall operations")
print(" • Kitchen suppression coordination")
elif data["building_type"] == "Aquatic Facility":
print(" • Pool evacuation procedures")
print(" • Chemical storage emergency response")
print(" • Natatorium smoke evacuation")
return True
def main():
"""Demonstrate AutoFire practical applications"""
print("🚀 AUTOFIRE: FROM DATA TO ACTION")
print("=" * 40)
print("Moving beyond extraction to practical applications")
print()
applications = AutoFireApplications()
applications.demonstrate_applications()
print("\n" + "=" * 60)
print("🎯 AUTOFIRE VALUE PROPOSITION")
print("=" * 60)
value_points = [
"✅ Instant fire protection design from construction drawings",
"✅ Automated code compliance analysis and reporting",
"✅ Professional submittal packages ready for AHJ review",
"✅ Detailed cost estimates with material and labor breakdown",
"✅ Complete installation plans and schedules",
"✅ Maintenance procedures and inspection checklists",
"✅ Building-specific emergency response procedures",
"✅ All deliverables generated automatically from extracted data",
]
for point in value_points:
print(f" {point}")
print("\n💡 THE BOTTOM LINE:")
print("AutoFire doesn't just extract data - it transforms that data")
print("into actionable deliverables that save time, reduce costs,")
print("and ensure compliance across the entire project lifecycle!")
if __name__ == "__main__":
main()