53 lines
2.4 KiB
Python
53 lines
2.4 KiB
Python
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from sqlalchemy import Column, Integer, String, Float, DateTime, ForeignKey, JSON
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from sqlalchemy.sql import func
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from app.core.database import Base
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class EnergyCategory(Base):
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"""能耗分项类别"""
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__tablename__ = "energy_categories"
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id = Column(Integer, primary_key=True, autoincrement=True)
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name = Column(String(100), nullable=False) # HVAC, 照明, 动力, 特殊
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code = Column(String(50), unique=True, nullable=False) # hvac, lighting, power, special
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parent_id = Column(Integer, ForeignKey("energy_categories.id"))
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sort_order = Column(Integer, default=0)
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icon = Column(String(100))
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color = Column(String(20)) # hex color for charts
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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class EnergyData(Base):
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"""时序能耗采集数据 - 使用TimescaleDB hypertable"""
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__tablename__ = "energy_data"
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id = Column(Integer, primary_key=True, autoincrement=True)
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device_id = Column(Integer, ForeignKey("devices.id"), nullable=False, index=True)
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timestamp = Column(DateTime(timezone=True), nullable=False, index=True)
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data_type = Column(String(50), nullable=False) # power, energy, temperature, flow, etc.
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value = Column(Float, nullable=False)
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unit = Column(String(20)) # kW, kWh, ℃, m³/h, etc.
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quality = Column(Integer, default=0) # 0=good, 1=interpolated, 2=suspect
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raw_data = Column(JSON) # 原始完整数据包
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class EnergyDailySummary(Base):
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"""每日能耗汇总"""
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__tablename__ = "energy_daily_summary"
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id = Column(Integer, primary_key=True, autoincrement=True)
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device_id = Column(Integer, ForeignKey("devices.id"), nullable=False, index=True)
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date = Column(DateTime(timezone=True), nullable=False, index=True)
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energy_type = Column(String(50), nullable=False) # electricity, heat, water, gas
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total_consumption = Column(Float, default=0) # 总消耗
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total_generation = Column(Float, default=0) # 总产出
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peak_power = Column(Float) # 最大功率
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min_power = Column(Float) # 最小功率
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avg_power = Column(Float) # 平均功率
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operating_hours = Column(Float) # 运行小时数
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avg_cop = Column(Float) # 平均COP (热泵)
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avg_temperature = Column(Float) # 平均温度
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cost = Column(Float) # 费用
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carbon_emission = Column(Float) # 碳排放 kgCO2
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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