feat: 初始化老年群体高温预警项目基础工程

搭建完整的项目目录结构，配置项目依赖与元信息，添加数据下载、预处理、模型训练、可视化相关的核心业务代码，补充项目设计文档与.gitignore配置，导入初始外部参考数据文件。
2026-05-26 20:05:10 +08:00
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+"""全局配置常量"""
+from pathlib import Path
+
+# 项目根目录
+ROOT = Path(__file__).parent.parent.parent
+
+# 数据目录
+DATA_RAW = ROOT / "data" / "raw"
+DATA_PROCESSED = ROOT / "data" / "processed"
+DATA_EXTERNAL = ROOT / "data" / "external"
+
+# 输出目录
+OUTPUT_MODELS = ROOT / "outputs" / "models"
+OUTPUT_FIGURES = ROOT / "outputs" / "figures"
+OUTPUT_LOGS = ROOT / "outputs" / "logs"
+
+# 研究城市坐标 (纬度, 经度)
+CITIES = {
+    "jiaozuo": {"lat": 35.24, "lon": 113.22, "name": "焦作"},
+    "zhengzhou": {"lat": 34.75, "lon": 113.62, "name": "郑州"},
+}
+
+# ERA5 配置
+ERA5_START_YEAR = 2010
+ERA5_END_YEAR = 2024
+ERA5_VARIABLES = [
+    "2m_temperature",
+    "2m_dewpoint_temperature",
+    "surface_pressure",
+    "10m_u_component_of_wind",
+    "10m_v_component_of_wind",
+    "total_precipitation",
+]
+
+# 模型配置
+LOOKBACK_DAYS = 14
+BATCH_SIZE = 32
+LEARNING_RATE = 1e-3
+MAX_EPOCHS = 100
+EARLY_STOP_PATIENCE = 15
+HIDDEN_DIM = 128
+LSTM_LAYERS = 2
+ATTENTION_HEADS = 4
+DROPOUT = 0.3
+
+# 风险等级阈值 (体感温度 °C)
+RISK_THRESHOLDS = {
+    "low": 32,
+    "medium": 35,
+    "high": 38,
+    "severe": 38,
+}
+
+# 时间尺度预测窗口 (天)
+PREDICTION_WINDOWS = {
+    "short": 3,
+    "medium": 7,
+    "long": 30,
+}
+
+# 确保目录存在
+for d in [DATA_RAW, DATA_PROCESSED, DATA_EXTERNAL,
+          OUTPUT_MODELS, OUTPUT_FIGURES, OUTPUT_LOGS]:
+    d.mkdir(parents=True, exist_ok=True)