{
  "schemaVersion": 1,
  "id": "3.1.4",
  "title": "智能健康监测系统的数据分析与优化",
  "durationMinutes": 20,
  "category": "电子表格分析与优化",
  "scenario": "智能健康监测系统通过集成多种传感器和生物反馈机制，能够实时监测用户的健康状态，包括但不限于血压、血糖水平、身体成分分析等。这些系统通常与云端服务相连，提供个性化的健康建议和预警。为了在市场中保持竞争力，制造商需要利用数据分析来不断优化产品性能和用户交互体验。\n\n（1）你作为人工智能训练师，根据给定的数据集（智能健康监测系统数据集.xlsx），从以下三方面：\n\n用户活动周期：分析用户一天中不同时间段的健康指标变化趋势，确定高风险时段和安全时段。\n\n健康指标偏好度：识别哪些健康监测功能（如血压监测、血糖检测、体脂分析）受用户青睐，哪些功能使用较少。\n\n系统响应与准确性：评估系统在监测各项健康指标时的响应时间和准确性，找出可能导致误报或延迟的关键因素。\n\n给出一份在用户活动周期、健康指标偏好度和系统响应与准确性方面的分析报告。\n\n（2）为了进一步提高产品的准确性和用户友好性，给出智能健康监测系统的2个优化方向和对应的解决方案。\n\n以上答题保存在3.1.4.xlsx。",
  "skillRequirements": "（1）能对单一智能产品使用的数据进行全面分析，输出分析报告；\n\n（2）能对单一智能产品提出优化需求；\n\n（3）能为单一智能产品的应用设计智能解决方案。",
  "qualityIndicators": "（1）分析报告全面可靠；\n\n（2）优化方向合理，具有良好应用价值；\n\n（3）解决方案切实可行。",
  "tasks": [
    {
      "id": "spreadsheet-analysis",
      "type": "spreadsheet-analysis",
      "title": "电子表格数据分析",
      "instructions": "使用题目附件完成各分析维度，并提交关键发现。",
      "fields": [
        {
          "id": "dimension-1",
          "label": "用户活动周期",
          "kind": "text"
        },
        {
          "id": "dimension-2",
          "label": "健康指标偏好度",
          "kind": "text"
        },
        {
          "id": "dimension-3",
          "label": "系统响应与准确性",
          "kind": "text"
        }
      ]
    },
    {
      "id": "optimization",
      "type": "rubric-response",
      "title": "分析与优化建议",
      "instructions": "依据电子表格分析结果提出优化建议。",
      "sections": [
        {
          "id": "direction-1",
          "label": "优化方向1"
        },
        {
          "id": "direction-2",
          "label": "优化方向2"
        }
      ],
      "rubric": [
        {
          "id": "criterion-1",
          "label": "关键发现有数据证据",
          "weight": 25
        },
        {
          "id": "criterion-2",
          "label": "优化方向对应问题",
          "weight": 25
        },
        {
          "id": "criterion-3",
          "label": "措施具体可执行",
          "weight": 25
        },
        {
          "id": "criterion-4",
          "label": "包含效果评价",
          "weight": 25
        }
      ]
    },
    {
      "id": "artifact-submission",
      "type": "artifact-submission",
      "title": "选择结果文件",
      "instructions": "文件仅在本机选择并校验，不上传，也不持久化文件内容。",
      "items": [
        {
          "id": "artifact-1",
          "label": "提交文件：3.1.4.xlsx",
          "filename": "3.1.4.xlsx",
          "extensions": [
            ".xlsx"
          ],
          "minCount": 1,
          "maxCount": 1,
          "maxSize": 104857600
        }
      ]
    }
  ],
  "attachments": [
    {
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      "url": "assets/3.1.4/3.1.4.docx",
      "size": 16907,
      "sha256": "bce08974e52065a704fea389a8e1306c4a56783e1c97c5dc7053e67d8c6deebf",
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    {
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      "url": "assets/3.1.4/3.1.4.md",
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    {
      "name": "智能健康监测系统数据集.xlsx",
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  ],
  "grading": {
    "mode": "completion-and-format-only"
  },
  "review": {
    "status": "approved",
    "notice": "由公开题面通用生成，未使用答案树。",
    "conflicts": []
  },
  "contentVersion": "28bf62447ccbb59e"
}
