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我来设计一个综合Python案例,模拟空中对抗（空战）情景，分析哪支队伍更具优势。
空中对抗优势分析系统
import random
import math
from dataclasses import dataclass
from typing import List, Dict, Tuple
import numpy as np
from enum import Enum
class FighterType(Enum):
"""战斗机类型"""
STEALTH = "隐身战机" # 高隐身
AIR_SUPERIORITY = "空优战机" # 高机动
MULTI_ROLE = "多用途战机" # 均衡型
INTERCEPTOR = "截击机" # 高速
class WeatherCondition(Enum):
"""天气条件"""
CLEAR = "晴朗"
CLOUDY = "多云"
STORM = "雷暴"
NIGHT = "夜间"
@dataclass
class Fighter:
"""战斗机类"""
name: str
fighter_type: FighterType
speed: float # 最大速度 (马赫)
maneuverability: float # 机动性 (1-10)
stealth: float # 隐身性能 (1-10)
avionics: float # 航电系统 (1-10)
weapons: float # 武器系统 (1-10)
pilot_experience: float # 飞行员经验 (1-10)
def get_combat_power(self) -> float:
"""计算综合战斗力"""
base_power = (
self.speed * 0.2 +
self.maneuverability * 0.25 +
self.stealth * 0.2 +
self.avionics * 0.15 +
self.weapons * 0.15 +
self.pilot_experience * 0.05
)
# 类型加成
type_bonus = {
FighterType.STEALTH: 1.2,
FighterType.AIR_SUPERIORITY: 1.1,
FighterType.MULTI_ROLE: 1.0,
FighterType.INTERCEPTOR: 1.05
}
return base_power * type_bonus[self.fighter_type]
class AirForce:
"""空军编队类"""
def __init__(self, name: str, fighters: List[Fighter]):
self.name = name
self.fighters = fighters
self.formation_bonus = 0.0 # 编队加成
def get_total_power(self) -> float:
"""计算编队总战斗力"""
total = sum(fighter.get_combat_power() for fighter in self.fighters)
# 编队加成 (多机协同)
if len(self.fighters) > 1:
self.formation_bonus = 1 + (len(self.fighters) - 1) * 0.1
else:
self.formation_bonus = 1.0
return total * self.formation_bonus
def get_fighter_types_count(self) -> Dict[str, int]:
"""统计各类型战机数量"""
count = {}
for fighter in self.fighters:
type_name = fighter.fighter_type.value
count[type_name] = count.get(type_name, 0) + 1
return count
class CombatSimulator:
"""空战模拟器"""
def __init__(self, weather: WeatherCondition = WeatherCondition.CLEAR):
self.weather = weather
self.weather_factor = self._get_weather_factor()
def _get_weather_factor(self) -> float:
"""根据天气返回影响因子"""
factors = {
WeatherCondition.CLEAR: 1.0,
WeatherCondition.CLOUDY: 0.9,
WeatherCondition.STORM: 0.7,
WeatherCondition.NIGHT: 0.8
}
return factors[self.weather]
def simulate_battle(self, force1: AirForce, force2: AirForce) -> Dict:
"""模拟空战"""
power1 = force1.get_total_power()
power2 = force2.get_total_power()
# 应用天气因素
power1 *= self.weather_factor
power2 *= self.weather_factor
# 计算胜负概率 (添加随机因素)
random_factor = random.uniform(0.9, 1.1)
advantage_ratio = (power1 * random_factor) / power2
# 根据比值判断胜率
win_probability_1 = 1 / (1 + math.exp(-(advantage_ratio - 1) * 3))
# 模拟战斗过程
survival_rate_1 = random.uniform(0.7, 1.0) if win_probability_1 > 0.5 else random.uniform(0.3, 0.7)
survival_rate_2 = random.uniform(0.7, 1.0) if win_probability_1 < 0.5 else random.uniform(0.3, 0.7)
return {
"force1_power": power1,
"force2_power": power2,
"win_probability_1": win_probability_1,
"survival_rate_1": survival_rate_1,
"survival_rate_2": survival_rate_2,
"advantage_ratio": advantage_ratio
}
class OptimalStrategyAnalyzer:
"""最优策略分析器"""
@staticmethod
def analyze_force_composition(fighters: List[Fighter]) -> str:
"""分析编队构成建议"""
types_count = {}
for fighter in fighters:
type_name = fighter.fighter_type.value
types_count[type_name] = types_count.get(type_name, 0) + 1
# 计算各类型占比
total = len(fighters)
recommendations = []
if types_count.get("隐身战机", 0) / total < 0.2:
recommendations.append("建议增加隐身战机比例，提高突防能力")
if types_count.get("空优战机", 0) / total < 0.3:
recommendations.append("建议增加空优战机，提升制空权争夺能力")
if types_count.get("截击机", 0) / total > 0.5:
recommendations.append("截击机比例过高，建议增加多用途战机以应对多样化任务")
if len(fighters) < 4:
recommendations.append("建议增加战机数量，形成规模优势")
return "\n".join(recommendations) if recommendations else "编队构成合理，无需调整"
def create_sample_forces():
"""创建示例空军力量"""
# 红队：以隐身战机和空优战机为主
red_force = AirForce("红队", [
Fighter("歼-20A", FighterType.STEALTH, 2.5, 9.0, 9.5, 8.5, 9.0, 8.0),
Fighter("歼-20B", FighterType.STEALTH, 2.6, 9.2, 9.5, 9.0, 9.2, 8.5),
Fighter("歼-16", FighterType.AIR_SUPERIORITY, 2.2, 8.5, 7.0, 8.5, 8.8, 7.5),
Fighter("歼-16D", FighterType.AIR_SUPERIORITY, 2.3, 8.8, 7.5, 9.0, 9.0, 8.0),
])
# 蓝队：以多用途战机和截击机为主
blue_force = AirForce("蓝队", [
Fighter("F-35A", FighterType.MULTI_ROLE, 1.8, 8.0, 8.0, 9.0, 8.5, 7.5),
Fighter("F-35B", FighterType.MULTI_ROLE, 1.8, 8.2, 8.0, 8.8, 8.2, 7.0),
Fighter("F-22", FighterType.STEALTH, 2.0, 9.5, 9.5, 9.0, 9.0, 8.5),
Fighter("F-15EX", FighterType.INTERCEPTOR, 2.5, 8.0, 6.5, 8.5, 8.8, 8.0),
])
return red_force, blue_force
def comprehensive_analysis():
"""综合分析"""
print("="*60)
print("空中对抗优势分析系统")
print("="*60)
# 创建对抗力量
red_force, blue_force = create_sample_forces()
print(f"\n【对抗双方】")
print(f"红队: {red_force.name}")
print(f"蓝队: {blue_force.name}")
# 展示双方编队
for force in [red_force, blue_force]:
print(f"\n{force.name} 编队:")
for fighter in force.fighters:
print(f" - {fighter.name} ({fighter.fighter_type.value}) 战斗力: {fighter.get_combat_power():.2f}")
print(f" 编队总战斗力: {force.get_total_power():.2f}")
print(f" 战机类型分布: {force.get_fighter_types_count()}")
# 分析编队构成
analyzer = OptimalStrategyAnalyzer()
print(f"\n【编队优化建议】")
print(f"红队: {analyzer.analyze_force_composition(red_force.fighters)}")
print(f"蓝队: {analyzer.analyze_force_composition(blue_force.fighters)}")
# 多种天气下模拟
print(f"\n【战斗模拟 - 不同天气条件】")
results = {}
for weather in WeatherCondition:
simulator = CombatSimulator(weather)
result = simulator.simulate_battle(red_force, blue_force)
results[weather] = result
print(f"\n{weather.value}条件:")
print(f" 红队战斗力: {result['force1_power']:.2f}")
print(f" 蓝队战斗力: {result['force2_power']:.2f}")
print(f" 红队胜率: {result['win_probability_1']*100:.1f}%")
print(f" 红队生存率: {result['survival_rate_1']*100:.1f}%")
print(f" 蓝队生存率: {result['survival_rate_2']*100:.1f}%")
# 综合优势分析
print("\n" + "="*60)
print("【综合优势分析】")
print("="*60)
avg_win_prob = np.mean([r['win_probability_1'] for r in results.values()])
avg_survival_1 = np.mean([r['survival_rate_1'] for r in results.values()])
avg_survival_2 = np.mean([r['survival_rate_2'] for r in results.values()])
print(f"红队平均胜率: {avg_win_prob*100:.1f}%")
print(f"红队平均生存率: {avg_survival_1*100:.1f}%")
print(f"蓝队平均生存率: {avg_survival_2*100:.1f}%")
if avg_win_prob > 0.5:
print(f"\n★★★ 红队在空中对抗中占据优势 ★★★")
print(f"优势因素分析:")
print(f" - 隐身战机数量更多，突防能力强")
print(f" - 空优战机机动性好，夺控战场主动权重")
print(f" - 综合战斗力更强")
else:
print(f"\n★★★ 蓝队在空中对抗中占据优势 ★★★")
print(f"优势因素分析:")
print(f" - 具备高端隐身战机")
print(f" - 编队构成互补")
print(f" - 具备强大的截击力量")
# 数据分析可视化（简单的ASCII图）
print("\n" + "="*60)
print("【战斗力对比条形图】")
print("="*60)
max_power = max(results[WeatherCondition.CLEAR]['force1_power'],
results[WeatherCondition.CLEAR]['force2_power'])
for force_name, power in [
("红队", results[WeatherCondition.CLEAR]['force1_power']),
("蓝队", results[WeatherCondition.CLEAR]['force2_power'])
]:
bar_length = int((power / max_power) * 30)
print(f"{force_name}: {'█' * bar_length} {power:.2f}")
return results
def advanced_sensitivity_analysis():
"""高级敏感性分析"""
print("\n" + "="*60)
print("【敏感性分析 - 单机变化影响】")
print("="*60)
red_force, blue_force = create_sample_forces()
simulator = CombatSimulator(WeatherCondition.CLEAR)
# 测试单类型战机的影响
base_result = simulator.simulate_battle(red_force, blue_force)
base_win_prob = base_result['win_probability_1']
original_fighters = red_force.fighters.copy()
# 模拟更换红队第一架战机
test_fighters = [
Fighter("替换机型A", FighterType.STEALTH, 2.8, 9.5, 9.8, 9.5, 9.5, 9.0), # 加强版
Fighter("替换机型B", FighterType.AIR_SUPERIORITY, 2.4, 8.8, 7.5, 8.8, 9.0, 8.0), # 普通版
Fighter("替换机型C", FighterType.MULTI_ROLE, 2.0, 8.5, 8.5, 8.5, 8.5, 8.0), # 均衡版
]
for test_fighter in test_fighters:
test_force = AirForce("测试编队", [test_fighter] + red_force.fighters[1:])
result = simulator.simulate_battle(test_force, blue_force)
change = (result['win_probability_1'] - base_win_prob) * 100
print(f"\n更换{test_fighter.name}后:")
print(f" 胜率变化: {change:+.1f}%")
print(f" 当前胜率: {result['win_probability_1']*100:.1f}%")
print("\n" + "="*60)
print("分析完成！")
print("="*60)
if __name__ == "__main__":
# 主程序入口
try:
# 基础综合分析
results = comprehensive_analysis()
# 高级敏感性分析
advanced_sensitivity_analysis()
print("\n程序执行完毕！")
except Exception as e:
print(f"程序执行出错: {str(e)}")
raise
运行效果说明
这个综合案例包含了：
核心功能模块
- 战斗机建模：不同类型战斗机（隐身、空优、多用途、截击）
- 编队管理：多机型混编和编队加成
- 战斗模拟：考虑天气、随机因素的综合模拟
- 策略分析：编队优化和敏感性分析
分析维度
- 综合战斗力对比
- 不同天气条件下的表现
- 编队构成合理性分析
- 单机更换的影响评估
输出结果
- 详细的战斗参数对比
- 直观的条形图展示
- 策略建议
通过这个案例,可以清晰判断哪方在空中对抗中更具优势，并分析具体原因，根据示例数据，红队（配备大量隐身战机和空优战机）通常会在对抗中占据优势。
