数据集概览
| 数据集名称 | 行业解决方案数据集 |
| 数据总量 | 22,800 条(方案文档 + 行业报告 + 案例研究 + 技术白皮书) |
| 覆盖行业 | 建筑/工程、IT/互联网、制造、金融、能源、医疗、教育、农业、物流 |
| 方案类型 | 数字化解决方案 / 信息化建设方案 / 行业研究报告 / 可行性分析 / 技术选型方案 |
| 时间跨度 | 2019 - 2026 年 |
| 数据来源 | 咨询公司报告、行业协会、上市公司公告、政府产业规划 |
| 标注方式 | 行业分析师标注 + 领域专家审核 |
数据维度详细说明
| 字段名称 | 数据类型 | 取值范围/说明 |
|---|---|---|
| doc_id | String(32) | 文档___UNIQUE_TECH___专属ID___UNIQUE_TECH___ |
| industry | Enum | CONSTRUCTION | IT | MFG | FINANCE | ENERGY | HEALTHCARE | EDUCATION | AGRICULTURE | LOGISTICS |
| doc_type | Enum | SOLUTION | REPORT | CASE_STUDY | WHITEPAPER | FEASIBILITY | TECH_SELECTION |
| title | Text | 文档标题 |
| publish_year | Integer | 发布年份 |
| source_type | Enum | CONSULTING | ASSOCIATION | LISTED_CO | GOV_PLANNING | ACADEMIC |
| key_technologies | Array | 涉及的核心技术栈 |
| market_size_ref | Object | {value, unit, year, source} |
| competitive_landscape | Array | [{company, market_share, strength, weakness}] |
| key_insights | Array | 核心观点摘要列表 |
脱敏 JSON 数据样例
[
{
"doc_id": "SOL-2024-IT-08231",
"industry": "IT",
"doc_type": "SOLUTION",
"title": "[某大型企业]数字化转型整体解决方案",
"publish_year": 2024,
"source_type": "CONSULTING",
"key_technologies": ["云计算", "大数据", "AI中台", "微服务架构", "数据湖"],
"market_size_ref": {"value": 5800, "unit": "亿元", "year": 2024, "source": "中国信通院"},
"competitive_landscape": [
{"company": "华为云", "market_share": 18.5, "strength": "全栈技术能力", "weakness": "价格偏高"},
{"company": "阿里云", "market_share": 22.3, "strength": "生态完善", "weakness": "定制化不足"}
],
"key_insights": ["企业数字化转型已从'要不要转'进入'怎么转好'阶段", "数据治理是数字化转型的最大瓶颈"]
},
{
"doc_id": "SOL-2023-CONST-01562",
"industry": "CONSTRUCTION",
"doc_type": "CASE_STUDY",
"title": "[某央企]智慧工地管理平台建设案例",
"publish_year": 2023,
"source_type": "ASSOCIATION",
"key_technologies": ["IoT", "BIM", "AI视频分析", "无人机巡检"],
"market_size_ref": {"value": 320, "unit": "亿元", "year": 2023, "source": "住建部"},
"competitive_landscape": [
{"company": "广联达", "market_share": 25.0, "strength": "BIM技术优势", "weakness": "AI能力不足"}
],
"key_insights": ["智慧工地可降低安全事故率45%", "BIM+IoT是智慧工地的技术基石"]
},
{
"doc_id": "SOL-2024-ENERGY-03421",
"industry": "ENERGY",
"doc_type": "REPORT",
"title": "2024年中国光伏产业数字化发展报告",
"publish_year": 2024,
"source_type": "ASSOCIATION",
"key_technologies": ["数字孪生", "智能运维", "功率预测AI"],
"market_size_ref": {"value": 18000, "unit": "亿元", "year": 2024, "source": "国家能源局"},
"competitive_landscape": [
{"company": "阳光电源", "market_share": 15.2, "strength": "逆变器龙头", "weakness": "数字化起步晚"}
],
"key_insights": ["光伏数字化是提升发电效率的关键", "AI功率预测可提升发电量3-5%"]
},
{
"doc_id": "SOL-2025-FIN-00789",
"industry": "FINANCE",
"doc_type": "WHITEPAPER",
"title": "金融行业大模型应用白皮书(2025)",
"publish_year": 2025,
"source_type": "CONSULTING",
"key_technologies": ["大语言模型", "RAG", "知识图谱", "智能风控"],
"market_size_ref": {"value": 1200, "unit": "亿元", "year": 2025, "source": "艾瑞咨询"},
"competitive_landscape": [
{"company": "蚂蚁集团", "market_share": 20.1, "strength": "金融场景丰富", "weakness": "合规压力"}
],
"key_insights": ["金融大模型在智能客服和风控领域应用广泛", "合规是大模型金融应用的首要约束"]
},
{
"doc_id": "SOL-2024-HEALTH-01234",
"industry": "HEALTHCARE",
"doc_type": "FEASIBILITY",
"title": "[某三甲医院]智慧医院建设可行性研究报告",
"publish_year": 2024,
"source_type": "GOV_PLANNING",
"key_technologies": ["HIS升级", "AI辅助诊断", "互联互通", "5G远程医疗"],
"market_size_ref": {"value": 980, "unit": "亿元", "year": 2024, "source": "卫健委"},
"competitive_landscape": [
{"company": "卫宁健康", "market_share": 12.8, "strength": "医院客户基数大", "weakness": "AI能力薄弱"}
],
"key_insights": ["电子病历评级是智慧医院建设的硬性指标", "AI影像辅助诊断节省医生30%阅片时间"]
}
]
AI 训练适用场景
行业解决方案自动生成
适用模型:LLM + RAG + Multi-agent(AutoGen / CrewAI)。基于行业知识库自动生成定制化解决方案文档。
行业趋势分析与预测
适用模型:Sentence-BERT + 时序预测。从海量行业报告中提取关键趋势信号并预测技术发展方向。
竞争情报分析
适用模型:NER + 知识图谱 + GNN。自动构建行业竞争格局知识图谱,识别市场机会和威胁。
技术选型辅助决策
适用模型:决策树 + 多准则决策分析(AHP/TOPSIS)。基于历史方案数据训练技术栈选型推荐模型。