import json import math import datetime from typing import Dict, List, Optional, Any, Union, Tuple class AbortDecisionEngine: """ Intelligent abort decision system with real-time evaluation and automated protocols. """ def __init__(self, mission_id: str): self.mission_id = mission_id self.abort_history = [] self.decision_tree = self.build_decision_tree() self.abort_protocols = self.define_abort_protocols() self.current_abort_status = "NO_ABORT" self.abort_triggers_met = [] def build_decision_tree(self) -> Dict[str, Any]: """Build comprehensive decision tree for abort evaluation.""" return { "root": { "condition": "evaluate_mission_status", "branches": { "nominal": { "action": "continue_mission", "next_node": None }, "concern": { "action": "evaluate_concerns", "next_node": "concern_evaluation" }, "critical": { "action": "evaluate_abort", "next_node": "critical_evaluation" } } }, "concern_evaluation": { "condition": "check_trajectory_deviation", "branches": { "minor_deviation": { "action": "implement_correction", "next_node": "correction_monitoring" }, "major_deviation": { "action": "evaluate_abort_options", "next_node": "abort_options" }, "nominal": { "action": "return_to_nominal", "next_node": None } } }, "critical_evaluation": { "condition": "assess_immediate_risk", "branches": { "life_threatening": { "action": "immediate_abort", "next_node": None }, "asset_threatening": { "action": "controlled_abort", "next_node": "abort_sequence" }, "recoverable": { "action": "attempt_recovery", "next_node": "recovery_procedures" } } }, "abort_options": { "condition": "select_abort_type", "branches": { "immediate": { "action": "execute_immediate_abort", "next_node": None }, "controlled": { "action": "execute_controlled_abort", "next_node": "abort_sequence" }, "delayed": { "action": "prepare_delayed_abort", "next_node": "delay_preparation" } } } } def define_abort_protocols(self) -> Dict[str, Dict[str, Any]]: """Define detailed abort procedures for different scenarios.""" return { "IMMEDIATE_ABORT_ALPHA": { "trigger_conditions": [ "catastrophic structural failure", "uncontrolled trajectory deviation > 15%", "complete power system failure", "fire detection in critical systems", "loss of attitude control > 30 seconds" ], "response_time": "< 10 seconds", "procedures": [ "1. Signal immediate abort to all systems", "2. Execute primary vehicle separation sequence", "3. Deploy emergency communication beacon", "4. Activate crew survival systems (if manned)", "5. Transmit abort telemetry to ground control" ], "verification_steps": [ "Confirm vehicle separation", "Verify emergency systems activation", "Check communication with ground control", "Validate crew status (if applicable)" ] }, "CONTROLLED_ABORT_BRAVO": { "trigger_conditions": [ "multiple subsystem failures", "trajectory deviation 5-15%", "propellant depletion within 2 orbits", "critical temperature exceedance sustained", "communication loss > 5 minutes" ], "response_time": "< 2 minutes", "procedures": [ "1. Initiate controlled abort sequence", "2. Perform controlled deorbit burn preparation", "3. Secure payload systems", "4. Configure for safe mode entry", "5. Execute backup communication activation" ], "verification_steps": [ "Confirm all systems in safe configuration", "Verify deorbit trajectory calculated", "Check backup systems operational", "Validate telemetry transmission" ] }, "DELAYED_ABORT_CHARLIE": { "trigger_conditions": [ "gradual performance degradation", "recurring minor anomalies", "redundant system failures", "predictable component end-of-life" ], "response_time": "< 30 minutes", "procedures": [ "1. Plan delayed abort timeline", "2. Execute data preservation sequence", "3. Transfer to extended operations mode", "4. Prepare contingency resources", "5. Coordinate with ground control for recovery" ], "verification_steps": [ "Confirm data backup complete", "Verify contingency resources available", "Check ground control coordination", "Validate extended operations configuration" ] } } def evaluate_abort_conditions(self, mission_data: Dict[str, Any]) -> Dict[str, Any]: """Evaluate current mission conditions against abort criteria.""" evaluation = { "timestamp": datetime.datetime.now().isoformat(), "abort_recommended": False, "abort_level": None, "abort_protocol": None, "triggers_met": [], "confidence": 0.0, "decision_path": [] } # Trajectory evaluation trajectory_score = self.evaluate_trajectory_risk(mission_data.get("trajectory", {})) evaluation["decision_path"].append(f"Trajectory risk: {trajectory_score['level']}") # System health evaluation system_score = self.evaluate_system_risk(mission_data.get("system_health", {})) evaluation["decision_path"].append(f"System risk: {system_score['level']}") # Environmental evaluation env_score = self.evaluate_environmental_risk(mission_data.get("environment", {})) evaluation["decision_path"].append(f"Environmental risk: {env_score['level']}") # Mission criticality evaluation mission_score = self.evaluate_mission_criticality(mission_data.get("mission_status", {})) evaluation["decision_path"].append(f"Mission criticality: {mission_score['level']}") # Calculate overall risk score risk_scores = [trajectory_score["score"], system_score["score"], env_score["score"], mission_score["score"]] overall_risk = sum(risk_scores) / len(risk_scores) evaluation["overall_risk_score"] = overall_risk # Determine abort recommendation if overall_risk >= 0.8: evaluation["abort_recommended"] = True evaluation["abort_level"] = "IMMEDIATE" evaluation["abort_protocol"] = "IMMEDIATE_ABORT_ALPHA" evaluation["confidence"] = min(0.95, overall_risk) elif overall_risk >= 0.6: evaluation["abort_recommended"] = True evaluation["abort_level"] = "CONTROLLED" evaluation["abort_protocol"] = "CONTROLLED_ABORT_BRAVO" evaluation["confidence"] = min(0.85, overall_risk) elif overall_risk >= 0.4: evaluation["abort_recommended"] = True evaluation["abort_level"] = "DELAYED" evaluation["abort_protocol"] = "DELAYED_ABORT_CHARLIE" evaluation["confidence"] = min(0.70, overall_risk) # Collect specific triggers evaluation["triggers_met"] = self.identify_active_triggers(mission_data) return evaluation def evaluate_trajectory_risk(self, trajectory_data: Dict[str, Any]) -> Dict[str, Any]: """Evaluate trajectory-related risks.""" risk = {"score": 0.0, "level": "LOW", "factors": []} deviation = trajectory_data.get("deviation_percentage", 0) velocity_error = trajectory_data.get("velocity_error", 0) altitude_error = trajectory_data.get("altitude_error", 0) if deviation > 15: risk["score"] += 0.4 risk["factors"].append("Critical trajectory deviation") risk["level"] = "CRITICAL" elif deviation > 10: risk["score"] += 0.3 risk["factors"].append("Major trajectory deviation") risk["level"] = "HIGH" elif deviation > 5: risk["score"] += 0.2 risk["factors"].append("Moderate trajectory deviation") risk["level"] = "MEDIUM" elif deviation > 2: risk["score"] += 0.1 risk["factors"].append("Minor trajectory deviation") if velocity_error > 10: risk["score"] += 0.3 risk["factors"].append("Critical velocity error") elif velocity_error > 5: risk["score"] += 0.2 risk["factors"].append("Significant velocity error") if altitude_error > 50: risk["score"] += 0.3 risk["factors"].append("Critical altitude error") elif altitude_error > 20: risk["score"] += 0.15 risk["factors"].append("Significant altitude error") return risk def evaluate_system_risk(self, system_data: Dict[str, Any]) -> Dict[str, Any]: """Evaluate system health risks.""" risk = {"score": 0.0, "level": "LOW", "factors": []} critical_failures = system_data.get("critical_failures", 0) warning_count = system_data.get("warning_count", 0) subsystem_count = len(system_data.get("subsystem_status", {})) if critical_failures >= 2: risk["score"] += 0.5 risk["factors"].append("Multiple critical system failures") risk["level"] = "CRITICAL" elif critical_failures == 1: risk["score"] += 0.3 risk["factors"].append("Single critical system failure") risk["level"] = "HIGH" if warning_count > subsystem_count * 0.5: risk["score"] += 0.3 risk["factors"].append("Widespread system warnings") elif warning_count > subsystem_count * 0.25: risk["score"] += 0.15 risk["factors"].append("Multiple system warnings") # Check specific critical systems power_status = system_data.get("power", {}).get("status", "NOMINAL") comm_status = system_data.get("communication", {}).get("status", "NOMINAL") if power_status == "CRITICAL": risk["score"] += 0.4 risk["factors"].append("Critical power system failure") risk["level"] = "CRITICAL" elif power_status == "WARNING": risk["score"] += 0.2 risk["factors"].append("Power system warning") if comm_status == "CRITICAL": risk["score"] += 0.3 risk["factors"].append("Communication system failure") risk["level"] = "HIGH" elif comm_status == "WARNING": risk["score"] += 0.15 risk["factors"].append("Communication system warning") return risk def evaluate_environmental_risk(self, env_data: Dict[str, Any]) -> Dict[str, Any]: """Evaluate environmental and external risks.""" risk = {"score": 0.0, "level": "LOW", "factors": []} # Space weather solar_activity = env_data.get("solar_activity", "LOW") if solar_activity == "EXTREME": risk["score"] += 0.3 risk["factors"].append("Extreme solar activity") risk["level"] = "HIGH" elif solar_activity == "HIGH": risk["score"] += 0.15 risk["factors"].append("High solar activity") # Debris collision risk collision_risk = env_data.get("collision_risk", 0.001) # Probability if collision_risk > 0.01: risk["score"] += 0.4 risk["factors"].append("High collision risk") risk["level"] = "CRITICAL" elif collision_risk > 0.005: risk["score"] += 0.2 risk["factors"].append("Moderate collision risk") # Atmospheric drag (for LEO) atmospheric_density = env_data.get("atmospheric_density", 1.0) if atmospheric_density > 2.0: risk["score"] += 0.2 risk["factors"].append("High atmospheric density") return risk def evaluate_mission_criticality(self, mission_status: Dict[str, Any]) -> Dict[str, Any]: """Evaluate mission criticality and success probability.""" risk = {"score": 0.0, "level": "LOW", "factors": []} success_probability = mission_status.get("success_probability", 0.95) mission_phase = mission_status.get("phase", "OPERATIONAL") if success_probability < 0.5: risk["score"] += 0.4 risk["factors"].append("Low mission success probability") risk["level"] = "CRITICAL" elif success_probability < 0.7: risk["score"] += 0.25 risk["factors"].append("Reduced mission success probability") risk["level"] = "MEDIUM" elif success_probability < 0.85: risk["score"] += 0.1 risk["factors"].append("Marginal mission success probability") # Mission phase considerations if mission_phase == "LAUNCH": risk["score"] += 0.1 risk["factors"].append("Launch phase - higher inherent risk") elif mission_phase == "CRITICAL_OPERATION": risk["score"] += 0.05 risk["factors"].append("Critical operation phase") return risk def identify_active_triggers(self, mission_data: Dict[str, Any]) -> List[str]: """Identify specific abort triggers currently active.""" triggers = [] # Trajectory triggers if mission_data.get("trajectory", {}).get("deviation_percentage", 0) > 10: triggers.append("Major trajectory deviation") # System triggers system_health = mission_data.get("system_health", {}) if system_health.get("critical_failures", 0) >= 2: triggers.append("Multiple critical system failures") # Communication triggers comm_loss_time = mission_data.get("communication", {}).get("loss_duration", 0) if comm_loss_time > 300: # 5 minutes triggers.append("Extended communication loss") # Power triggers battery_level = mission_data.get("power", {}).get("battery_level", 100) if battery_level < 15: triggers.append("Critical battery depletion") # Temperature triggers component_temp = mission_data.get("thermal", {}).get("max_component_temp", 20) if component_temp > 95: triggers.append("Critical temperature exceedance") return triggers def execute_abort_protocol(self, protocol_name: str, mission_data: Dict[str, Any]) -> Dict[str, Any]: """Execute specified abort protocol.""" if protocol_name not in self.abort_protocols: return {"success": False, "error": "Protocol not found"} protocol = self.abort_protocols[protocol_name] execution_log = { "protocol_name": protocol_name, "start_time": datetime.datetime.now().isoformat(), "steps_executed": [], "verifications": [], "status": "IN_PROGRESS", "success": False } try: # Execute procedures for i, procedure in enumerate(protocol["procedures"]): step_result = { "step_number": i + 1, "procedure": procedure, "status": "EXECUTED", "timestamp": datetime.datetime.now().isoformat() } execution_log["steps_executed"].append(step_result) # Perform verification steps for verification in protocol["verification_steps"]: verification_result = { "verification": verification, "status": "PASSED", "timestamp": datetime.datetime.now().isoformat() } execution_log["verifications"].append(verification_result) execution_log["status"] = "COMPLETED" execution_log["success"] = True execution_log["end_time"] = datetime.datetime.now().isoformat() self.current_abort_status = f"{protocol_name}_EXECUTED" except Exception as e: execution_log["status"] = "FAILED" execution_log["error"] = str(e) execution_log["end_time"] = datetime.datetime.now().isoformat() # Store in abort history self.abort_history.append(execution_log) return execution_log def generate_abort_report(self, evaluation: Dict[str, Any], execution: Optional[Dict[str, Any]] = None) -> Dict[str, Any]: """Generate comprehensive abort decision report.""" report = { "mission_id": self.mission_id, "report_timestamp": datetime.datetime.now().isoformat(), "abort_evaluation": evaluation, "protocol_execution": execution, "recommendations": [], "final_decision": None } if evaluation["abort_recommended"]: report["final_decision"] = "ABORT_RECOMMENDED" if execution and execution.get("success"): report["final_decision"] = "ABORT_EXECUTED_SUCCESS" elif execution and not execution.get("success"): report["final_decision"] = "ABORT_EXECUTION_FAILED" else: report["final_decision"] = "CONTINUE_MISSION" # Generate recommendations if evaluation["overall_risk_score"] > 0.7: report["recommendations"].append("IMMEDIATE ACTION REQUIRED") elif evaluation["overall_risk_score"] > 0.5: report["recommendations"].append("INCREASE MONITORING FREQUENCY") elif evaluation["overall_risk_score"] > 0.3: report["recommendations"].append("PREPARE CONTINGENCY PROCEDURES") return report def demonstrate_abort_system(): """Demonstrate abort decision system.""" abort_engine = AbortDecisionEngine("DEMO-ABORT-001") # Sample mission data with concerning conditions sample_mission_data = { "trajectory": { "deviation_percentage": 8.5, "velocity_error": 6.2, "altitude_error": 35 }, "system_health": { "critical_failures": 1, "warning_count": 3, "power": {"status": "WARNING", "battery_level": 18}, "communication": {"status": "NOMINAL"} }, "environment": { "solar_activity": "HIGH", "collision_risk": 0.006, "atmospheric_density": 1.2 }, "mission_status": { "success_probability": 0.75, "phase": "CRITICAL_OPERATION" }, "communication": { "loss_duration": 180 # 3 minutes }, "power": { "battery_level": 18 }, "thermal": { "max_component_temp": 88 } } # Evaluate abort conditions evaluation = abort_engine.evaluate_abort_conditions(sample_mission_data) # Execute abort protocol if recommended execution = None if evaluation["abort_recommended"]: execution = abort_engine.execute_abort_protocol( evaluation["abort_protocol"], sample_mission_data ) # Generate comprehensive report report = abort_engine.generate_abort_report(evaluation, execution) return { "abort_evaluation": evaluation, "protocol_execution": execution, "abort_report": report } if __name__ == "__main__": demo = demonstrate_abort_system() print("Abort Decision System Demonstration") print(f"Abort Recommended: {demo['abort_evaluation']['abort_recommended']}") print(f"Abort Level: {demo['abort_evaluation'].get('abort_level', 'NONE')}") print(f"Protocol: {demo['abort_evaluation'].get('abort_protocol', 'NONE')}") print(f"Final Decision: {demo['abort_report']['final_decision']}")