import json import math import datetime from typing import Dict, List, Optional, Any, Union class PostLaunchMonitor: """ Comprehensive post-launch monitoring system for trajectory verification, system status monitoring, abort procedures, and contingency planning. """ def __init__(self, mission_id: str): self.mission_id = mission_id self.checklist_version = "1.0" self.timestamp = datetime.datetime.now().isoformat() self.monitoring_data = {} def generate_master_checklist(self) -> Dict[str, Any]: """Generate comprehensive master checklist.""" checklist = { "mission_id": self.mission_id, "checklist_version": self.checklist_version, "generated_at": self.timestamp, "sections": { "trajectory_verification": self.get_trajectory_checklist(), "system_monitoring": self.get_system_monitoring_checklist(), "abort_procedures": self.get_abort_procedures_checklist(), "contingency_planning": self.get_contingency_planning_checklist() } } return checklist def get_trajectory_checklist(self) -> Dict[str, Any]: """Trajectory verification checklist items.""" return { "priority": "CRITICAL", "frequency": "Continuous", "check_items": [ { "id": "TV_001", "description": "Verify launch vehicle trajectory matches predicted path", "tolerance": "±0.1% deviation", "verification_method": "Real-time telemetry comparison", "status": "pending" }, { "id": "TV_002", "description": "Confirm orbital insertion parameters", "parameters": ["altitude", "velocity", "inclination"], "tolerance": "±1% for altitude, ±0.5% for velocity", "verification_method": "Ground station tracking", "status": "pending" }, { "id": "TV_003", "description": "Monitor trajectory drift and correction burns", "drift_threshold": "0.01° per orbit", "verification_method": "Attitude control system data", "status": "pending" } ], "alert_thresholds": { "critical_deviation": 5.0, # percentage "warning_deviation": 2.0, # percentage "monitoring_interval": 30 # seconds } } def get_system_monitoring_checklist(self) -> Dict[str, Any]: """System status monitoring checklist.""" return { "priority": "HIGH", "frequency": "Continuous", "subsystems": { "power_system": { "parameters": ["voltage", "current", "battery_level"], "normal_ranges": { "voltage": (28.0, 32.0), # volts "current": (5.0, 45.0), # amps "battery_level": (20, 100) # percentage }, "critical_thresholds": { "voltage": (24.0, 36.0), "battery_level": 10 } }, "thermal_control": { "parameters": ["component_temps", "radiator_temp"], "normal_ranges": { "component_temps": (-40, 85), # celsius "radiator_temp": (-60, 50) }, "critical_thresholds": { "component_temps": (-55, 95), "radiator_temp": (-70, 60) } }, "communication_system": { "parameters": ["signal_strength", "data_rate", "link_status"], "normal_ranges": { "signal_strength": (-70, -30), # dBm "data_rate": (1000, 10000000), # bps "link_status": "ESTABLISHED" }, "critical_thresholds": { "signal_strength": -85, # dBm "data_rate": 500 # bps } }, "propulsion_system": { "parameters": ["fuel_pressure", "thruster_status", "propellant_level"], "normal_ranges": { "fuel_pressure": (200, 400), # psi "propellant_level": (5, 100) # percentage }, "critical_thresholds": { "fuel_pressure": (150, 450), "propellant_level": 3 } } } } def get_abort_procedures_checklist(self) -> Dict[str, Any]: """Abort procedures and decision trees.""" return { "priority": "CRITICAL", "abort_triggers": { "immediate_abort": { "conditions": [ "catastrophic structural failure", "uncontrolled trajectory deviation > 10%", "complete loss of communication > 5 minutes", "fire detected in critical systems" ], "response_time": "< 10 seconds", "procedure": "EMERGENCY_ABORT_PROTOCOL_ALPHA" }, "controlled_abort": { "conditions": [ "multiple subsystem failures", "trajectory deviation 5-10%", "propellant depletion imminent", "critical temperature exceedance" ], "response_time": "< 2 minutes", "procedure": "CONTROLLED_ABORT_PROTOCOL_BRAVO" } }, "decision_tree": { "trajectory_check": { "deviation_0_2%": "CONTINUE_MISSION", "deviation_2_5%": "CORRECTIVE_ACTION_REQUIRED", "deviation_5_10%": "EVALUATE_ABORT_OPTIONS", "deviation_>10%": "IMMEDIATE_ABORT" }, "system_health": { "all_green": "NORMAL_OPERATIONS", "one_yellow": "MONITOR_CLOSELY", "multiple_yellow": "CONSIDER_ABORT", "any_red": "EVALUATE_ABORT_CONDITIONS" } } } def get_contingency_planning_checklist(self) -> Dict[str, Any]: """Contingency planning for various failure scenarios.""" return { "priority": "HIGH", "failure_scenarios": { "communication_loss": { "severity": "HIGH", "response_procedures": [ "Switch to backup communication systems", "Execute stored procedures autonomously", "Attempt recovery using emergency frequencies", "Enter safe mode if recovery fails" ], "timeline": { "0-60s": "Primary system recovery attempts", "1-5min": "Backup system activation", "5-30min": "Autonomous safe mode" } }, "power_system_failure": { "severity": "CRITICAL", "response_procedures": [ "Isolate failed power subsystem", "Redistribute power to critical systems", "Reduce non-essential power consumption", "Activate backup power sources" ], "timeline": { "0-30s": "Fault isolation and redistribution", "30s-2min": "Backup system activation", "2min+": "Extended power conservation mode" } }, "trajectory_deviation": { "severity": "HIGH", "response_procedures": [ "Calculate correction maneuver parameters", "Execute trajectory correction burns", "Verify trajectory after correction", "Update mission parameters" ], "timeline": { "0-2min": "Deviation calculation and verification", "2-10min": "Correction maneuver planning", "10-30min": "Burn execution and verification" } }, "thermal_control_failure": { "severity": "MEDIUM-HIGH", "response_procedures": [ "Shut down non-essential heat-generating systems", "Reorient spacecraft for optimal thermal conditions", "Activate backup thermal control elements", "Implement emergency cooling procedures" ], "timeline": { "0-60s": "System shutdown and reorientation", "1-5min": "Backup thermal activation", "5min+": "Extended thermal management" } }, "propulsion_system_anomaly": { "severity": "HIGH", "response_procedures": [ "Secure propulsion system", "Diagnose failure root cause", "Switch to redundant thruster clusters", "Recalculate mission capability" ], "timeline": { "0-30s": "System securing and isolation", "30s-5min": "Fault diagnosis", "5-15min": "Redundant system activation" } } } } def validate_trajectory(self, current_position: List[float], expected_position: List[float], tolerance: float = 0.01) -> Dict[str, Any]: """Validate trajectory against expected position.""" deviation = math.sqrt(sum((c - e)**2 for c, e in zip(current_position, expected_position))) deviation_percentage = (deviation / math.sqrt(sum(e**2 for e in expected_position))) * 100 status = "NOMINAL" if deviation_percentage > tolerance * 100: status = "DEVIATION_DETECTED" if deviation_percentage > tolerance * 500: status = "CRITICAL_DEVIATION" return { "timestamp": datetime.datetime.now().isoformat(), "current_position": current_position, "expected_position": expected_position, "deviation": deviation, "deviation_percentage": deviation_percentage, "tolerance": tolerance * 100, "status": status } def check_system_health(self, telemetry_data: Dict[str, float]) -> Dict[str, Any]: """Check overall system health based on telemetry.""" system_monitoring = self.get_system_monitoring_checklist() health_status = {"overall": "NOMINAL", "subsystems": {}} for subsystem, params in system_monitoring["subsystems"].items(): subsystem_status = "NOMINAL" critical_issues = [] for param, value in telemetry_data.items(): if param in params["parameters"]: ranges = params["normal_ranges"] critical = params["critical_thresholds"] if isinstance(ranges[param], tuple): min_val, max_val = ranges[param] if not (min_val <= value <= max_val): subsystem_status = "WARNING" if isinstance(critical.get(param), tuple): crit_min, crit_max = critical[param] if not (crit_min <= value <= crit_max): subsystem_status = "CRITICAL" critical_issues.append(f"{param}: {value}") health_status["subsystems"][subsystem] = { "status": subsystem_status, "issues": critical_issues } if subsystem_status == "CRITICAL": health_status["overall"] = "CRITICAL" elif subsystem_status == "WARNING" and health_status["overall"] != "CRITICAL": health_status["overall"] = "WARNING" return health_status def generate_monitoring_report(self, trajectory_data: Dict[str, Any], telemetry_data: Dict[str, Any]) -> Dict[str, Any]: """Generate comprehensive monitoring report.""" trajectory_validation = self.validate_trajectory( trajectory_data["current"], trajectory_data["expected"] ) system_health = self.check_system_health(telemetry_data) report = { "mission_id": self.mission_id, "report_timestamp": datetime.datetime.now().isoformat(), "trajectory_status": trajectory_validation, "system_health": system_health, "recommendations": [], "alert_level": "GREEN" } # Determine alert level and recommendations if (trajectory_validation["status"] == "CRITICAL_DEVIATION" or system_health["overall"] == "CRITICAL"): report["alert_level"] = "RED" report["recommendations"].append("IMMEDIATE ABORT EVALUATION REQUIRED") elif (trajectory_validation["status"] == "DEVIATION_DETECTED" or system_health["overall"] == "WARNING"): report["alert_level"] = "YELLOW" report["recommendations"].append("INCREASE MONITORING FREQUENCY") return report def main(): """Demonstrate the monitoring system with comprehensive testing.""" monitor = PostLaunchMonitor("MISSION-2024-001") # Generate master checklist checklist = monitor.generate_master_checklist() # Test various scenarios test_cases = [ { "name": "Nominal Operations", "trajectory": {"current": [407.5, 28.6, 408.2], "expected": [407.0, 28.5, 408.0]}, "telemetry": { "voltage": 30.1, "current": 15.3, "battery_level": 85, "component_temps": 25.5, "signal_strength": -45, "data_rate": 50000, "propellant_level": 92 } }, { "name": "Trajectory Deviation", "trajectory": {"current": [420.0, 35.0, 415.0], "expected": [407.0, 28.5, 408.0]}, "telemetry": { "voltage": 29.8, "current": 18.2, "battery_level": 78, "component_temps": 32.1, "signal_strength": -48, "data_rate": 45000, "propellant_level": 88 } }, { "name": "System Warning", "trajectory": {"current": [407.2, 28.7, 408.1], "expected": [407.0, 28.5, 408.0]}, "telemetry": { "voltage": 26.5, "current": 35.8, "battery_level": 35, "component_temps": 68.3, "signal_strength": -62, "data_rate": 15000, "propellant_level": 45 } }, { "name": "Critical Failure", "trajectory": {"current": [450.0, 50.0, 440.0], "expected": [407.0, 28.5, 408.0]}, "telemetry": { "voltage": 23.1, "current": 48.5, "battery_level": 8, "component_temps": 92.5, "signal_strength": -88, "data_rate": 200, "propellant_level": 2 } } ] # Run all test cases test_results = [] for test_case in test_cases: report = monitor.generate_monitoring_report( test_case["trajectory"], test_case["telemetry"] ) test_results.append({ "test_name": test_case["name"], "alert_level": report["alert_level"], "trajectory_status": report["trajectory_status"]["status"], "system_health": report["system_health"]["overall"], "recommendations": report["recommendations"] }) # Generate execution summary execution_summary = { "execution_timestamp": datetime.datetime.now().isoformat(), "total_tests": len(test_cases), "test_results": test_results, "system_capabilities": { "trajectory_verification": "OPERATIONAL", "system_health_monitoring": "OPERATIONAL", "abort_procedures": "AVAILABLE", "contingency_planning": "ACTIVE" } } return { "master_checklist": checklist, "test_results": test_results, "execution_summary": execution_summary, "system_status": "FULLY_OPERATIONAL" } if __name__ == "__main__": result = main() # Display results print("=" * 60) print("POST-LAUNCH MONITORING SYSTEM") print("=" * 60) print(f"Mission ID: {result['master_checklist']['mission_id']}") print(f"System Status: {result['system_status']}") print(f"Tests Executed: {result['execution_summary']['total_tests']}") print("-" * 60) for test in result['test_results']: print(f"Test: {test['test_name']}") print(f" Alert Level: {test['alert_level']}") print(f" Trajectory: {test['trajectory_status']}") print(f" Systems: {test['system_health']}") if test['recommendations']: print(f" Recommendations: {', '.join(test['recommendations'])}") print() # Save comprehensive report with open("monitoring_execution_report.json", "w") as f: json.dump(result, f, indent=2) print("Execution report saved to: monitoring_execution_report.json") print("Monitoring system validation completed successfully")