{
  "label": "演示模型，非真实城市数据",
  "unit": "归一化能源活动权重与情景指数",
  "baseline": 100,
  "periods": [
    "基准",
    "S1",
    "S2",
    "S3",
    "S4",
    "S5",
    "S6",
    "S7",
    "情景"
  ],
  "sources": [
    "电网供电",
    "天然气",
    "集中供热",
    "交通燃料"
  ],
  "colors": [
    "#0a84a6",
    "#27b59c",
    "#8eb8c6",
    "#cba774"
  ],
  "profiles": {
    "building": {
      "name": "建筑运行",
      "subtitle": "从建筑用途与运行时段，理解能源活动差异。",
      "weights": [
        62,
        18,
        20,
        0
      ],
      "trend": [
        100,
        99,
        96,
        98,
        94,
        91,
        92,
        89,
        86
      ],
      "index": 86,
      "coverage": "用途 / 面积 / 运行时段",
      "note": "购电、燃气和供热分开记录；设备与租户计量范围需统一。"
    },
    "mobility": {
      "name": "城市交通",
      "subtitle": "从车辆公里到人公里，将供能与服务放在一起。",
      "weights": [
        38,
        0,
        0,
        62
      ],
      "trend": [
        100,
        101,
        99,
        96,
        98,
        95,
        92,
        93,
        91
      ],
      "index": 91,
      "coverage": "车流 / 车型 / 客流",
      "note": "燃油直接排放与交通购电分栏；跨界行驶应说明归属。"
    },
    "energy": {
      "name": "城市能源",
      "subtitle": "理解供给结构与终端需求，防止源端和消费端重算。",
      "weights": [
        48,
        28,
        24,
        0
      ],
      "trend": [
        100,
        98,
        97,
        93,
        94,
        90,
        85,
        82,
        78
      ],
      "index": 78,
      "coverage": "发电 / 购电 / 能源平衡",
      "note": "生产端与消费端为不同观察口径，不能相加作为总量。"
    },
    "municipal": {
      "name": "市政设施",
      "subtitle": "将路灯、泵站与水处理，放回实际服务条件中分析。",
      "weights": [
        76,
        14,
        10,
        0
      ],
      "trend": [
        100,
        99,
        100,
        97,
        95,
        96,
        92,
        89,
        88
      ],
      "index": 88,
      "coverage": "处理量 / 扬程 / 亮灯时长",
      "note": "此处仅演示能源活动；完整市政清单还需核查过程温室气体。"
    }
  }
}