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| from dataclasses import dataclass
from typing import List
"""
IMS 边缘平台选型决策矩阵
2026年8月 6大平台对比
"""
@dataclass
class Platform:
name: str
vendor: str
tops: float
power_w: float
camera_if: str
price_tier: str
production: bool
best_for: str
strengths: List[str]
weaknesses: List[str]
PLATFORMS = [
Platform("QCS8255", "Qualcomm", 26, 10, "MIPI CSI-2 (4)",
"$$", True, "DMS+OMS 量产首选",
["量产成熟", "低功耗", "生态完善"],
["无GMSL2", "算力中等"]),
Platform("Snapdragon Ride", "Qualcomm", 100, 30, "GMSL2 (多)",
"$$$", True, "ADAS+DMS 融合",
["Euro NCAP五星", "一体化", "GMSL2"],
["成本高", "功耗高"]),
Platform("Jetson Orin NX", "NVIDIA", 100, 25, "GMSL2 (4)",
"$$$", True, "全座舱+ADAS高端",
["算力最强", "CUDA生态", "GMSL2"],
["功耗高", "成本高"]),
Platform("Intel Core Ultra", "Intel", 33, 28, "USB3/PCIe",
"$$", True, "后装/开发",
["x86生态", "灵活"],
["功耗高", "非车规"]),
Platform("AWRL6844", "TI", 1, 2, "CAN",
"$", True, "CPD/安全带雷达",
["超低功耗", "座舱专用", "CAN直连"],
["仅雷达", "无视觉AI"]),
Platform("Tensilica Vision DSP", "Cadence", -1, 5, "SoC集成",
"授权", True, "雷达/LiDAR DSP",
["低功耗", "可配置", "IP灵活"],
["需SoC集成", "非完整平台"]),
]
def recommend(requirement: str, max_power: float = 999,
max_budget: str = "$$$") -> List[Platform]:
"""推荐平台"""
results = []
budget_map = {"$": 1, "$$": 2, "$$$": 3}
max_b = budget_map.get(max_budget, 3)
for p in PLATFORMS:
if p.power_w <= max_power and budget_map.get(p.price_tier, 3) <= max_b:
if requirement.lower() in p.best_for.lower() or \
any(requirement.lower() in s.lower() for s in p.strengths):
results.append(p)
if not results:
results = [p for p in PLATFORMS
if p.power_w <= max_power
and budget_map.get(p.price_tier, 3) <= max_b]
return sorted(results, key=lambda x: -x.tops if x.tops > 0 else 0)
if __name__ == "__main__":
print("=" * 80)
print("IMS 边缘计算平台选型决策矩阵")
print("=" * 80)
print(f"\n{'平台':<22} {'厂商':>10} {'TOPS':>6} {'功耗':>6} "
f"{'摄像头':>16} {'价位':>5} {'量产':>4}")
print("-" * 80)
for p in PLATFORMS:
tops = f"{p.tops}" if p.tops > 0 else "可配置"
print(f"{p.name:<22} {p.vendor:>10} {tops:>6} "
f"{p.power_w:>5}W {p.camera_if:>16} "
f"{p.price_tier:>5} {'✅' if p.production else '❌':>4}")
print(f"\n 适用场景:")
for p in PLATFORMS:
print(f" {p.name:<22} → {p.best_for}")
print(f"\n{'='*80}")
print("场景推荐:")
print(f"{'='*80}")
scenarios = [
("DMS", 15, "$$"),
("OMS", 15, "$$"),
("CPD", 5, "$"),
("ADAS+DMS", 30, "$$$"),
("后装", 30, "$$"),
("全座舱", 30, "$$$"),
]
for req, power, budget in scenarios:
recs = recommend(req, power, budget)
print(f"\n 需求: {req} | 功耗<{power}W | 预算{budget}")
for r in recs[:3]:
print(f" → {r.name} ({r.tops if r.tops>0 else '可配置'} TOPS, "
f"{r.power_w}W, {r.price_tier})")
|
