1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
| """
基于FIR的座舱热舒适监测
=========================
论文: Occupant-centric cabin thermal sensation assessment
来源: Building and Environment, 2024
"""
class CabinThermalComfort:
"""
座舱热舒适评估器
原理:
1. FIR测量面部温度(额头/脸颊)
2. 结合环境温度/湿度
3. 评估热感觉(-3冷~+3热)
4. 调节HVAC
论文发现:
- 面部温度变化1°C ≈ 热感觉变化1级
- 额头温度最稳定可靠
- 脸颊温度反应最快
"""
def __init__(self):
self.sensation_scale = {
-3: "冷",
-2: "凉",
-1: "稍凉",
0: "中性(舒适)",
1: "稍暖",
2: "暖",
3: "热"
}
self.temp_sensation_map = {
"forehead": {"neutral": 33.5, "sensitivity": 0.8},
"cheek": {"neutral": 31.0, "sensitivity": 1.2},
"nose": {"neutral": 29.5, "sensitivity": 1.5}
}
def assess_thermal_sensation(
self,
facial_temps: dict,
ambient_temp: float,
humidity: float = 0.5
) -> dict:
"""
评估热感觉
Args:
facial_temps: {"forehead": 34.0, "cheek": 32.0, "nose": 30.0}
ambient_temp: 车内温度 (°C)
humidity: 相对湿度 (0-1)
Returns:
{
'sensation': int, # -3 to +3
'sensation_label': str,
'recommend_hvac': dict,
'confidence': float
}
"""
sensations = []
for region, temp in facial_temps.items():
if region in self.temp_sensation_map:
config = self.temp_sensation_map[region]
delta = temp - config['neutral']
sensation = delta * config['sensitivity']
sensations.append(sensation)
if not sensations:
return {'sensation': 0, 'sensation_label': '未知', 'confidence': 0.0}
avg_sensation = np.mean(sensations)
sensation_int = int(np.clip(round(avg_sensation), -3, 3))
if sensation_int > 0:
hvac = {
'action': 'cool',
'target_temp': max(20, ambient_temp - 2),
'fan_speed': min(5, 2 + abs(sensation_int)),
'air_direction': 'face'
}
elif sensation_int < 0:
hvac = {
'action': 'heat',
'target_temp': min(28, ambient_temp + 2),
'fan_speed': min(5, 2 + abs(sensation_int)),
'air_direction': 'feet'
}
else:
hvac = {'action': 'maintain', 'fan_speed': 1}
return {
'sensation': sensation_int,
'sensation_label': self.sensation_scale.get(sensation_int, "未知"),
'facial_temps': facial_temps,
'recommend_hvac': hvac,
'confidence': min(0.9, 0.5 + 0.1 * len(sensations))
}
if __name__ == "__main__":
monitor = CabinThermalComfort()
result_hot = monitor.assess_thermal_sensation(
facial_temps={"forehead": 35.0, "cheek": 33.5, "nose": 32.0},
ambient_temp=27
)
print("测试1 (偏热):")
print(f" 热感觉: {result_hot['sensation_label']}")
print(f" HVAC建议: {result_hot['recommend_hvac']}")
result_comfy = monitor.assess_thermal_sensation(
facial_temps={"forehead": 33.5, "cheek": 31.0, "nose": 29.5},
ambient_temp=24
)
print("\n测试2 (舒适):")
print(f" 热感觉: {result_comfy['sensation_label']}")
print(f" HVAC建议: {result_comfy['recommend_hvac']}")
result_cold = monitor.assess_thermal_sensation(
facial_temps={"forehead": 32.0, "cheek": 29.0, "nose": 27.0},
ambient_temp=18
)
print("\n测试3 (偏冷):")
print(f" 热感觉: {result_cold['sensation_label']}")
print(f" HVAC建议: {result_cold['recommend_hvac']}")
|