Dataset opportunity
Deutsche Erdwaerme — 工业运营数据集机会
Deutsche Erdwaerme 持有的中等工业运营数据集，可用于工业监控和预测。
Score
72.6
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
49%
Action
收购
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球能源与电力领域的数字孪生市场在 2025 年的估值为 66 亿美元，预计在 2026-2035 年期间的复合年增长率为 13.9%。
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- ✨Signal
专注于地质建模和储层工程的技术重点
source ↗
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待澄清
Buyer persona
工业人工智能集成商
Deutsche Erdwaerme 持有一个全面的工业运营数据集，详细介绍了其地热能源项目。数据主要为时间序列模式，包含广泛的地理数据（地震、地球物理）、工业数据（钻探、工厂运营）和来自连接传感器的物联网数据。这个丰富、多方面的数据集非常适合开发和训练用于工业监控的复杂人工智能模型，包括预测性维护、运营优化和资源勘探。
相关技术市场的增长凸显了该数据的商业价值。全球能源与电力领域的数字孪生市场在 2025 年的估值为66 亿美元，预计将以 13.9% 的复合年增长率增长。[1] 虽然访问涉及德国采矿法的规定、技术数据的复杂性以及澄清合资企业的所有权，但这种地下运营数据的固有的稀有性和详细程度为旨在快速数字化能源领域领先的人工智能买家提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：地质数据可能受德国州采矿法（Lagerstättengesetz）关于报告义务的规定；数据高度技术性（地震/地球物理），需要特定的领域专业知识才能提取；与市政公用事业公司（Stadtwerke）的合资项目中地下数据的归属权需要澄清。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Deutsche Erdwaerme 拥有一个稀有的端到端数据集，涵盖了地热运营的整个生命周期，从地下勘探到实时工厂监控。这些专有数据对于寻求构建和验证用于预测性维护和性能优化的复杂人工智能模型的工业人工智能集成商至关重要。在能源领域数字孪生市场快速增长的背景下，该数据集提供了创建竞争优势和在工业监控中释放新效率所需的高保真度真实数据。
See dimension details ↓- Dataset Specificity90
主导的“工业数据”，行业为工业，3 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
人工智能买家需求旺盛，这得益于能源领域数字孪生市场 13.9% 的显著复合年增长率，该市场需要正是这种类型的细粒度、真实世界的运营和地质数据来进行模型训练和验证。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License70
所有权=公司所有，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据胃口信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit92
✓ 良好目标 — Deutsche Erdwaerme 是一个强有力的目标，因为它开发和运营地热发电厂，这个过程会产生大量的专有地质和运营数据，作为其核心业务（销售热能和电力）的副产品。问题：确切的员工人数未公开披露，因此中小企业身份是估算的；该公司由大型基础设施基金（Copenhagen Infrastructure Partners）控股，这可能会影响其数据战略和运营。
- Deep Qualification80
⚠ 需要审查 — Deutsche Erdwaerme 是一家地热项目开发商，也投资、建设和运营自己的工厂，使其成为有价值的运营和地质数据的持有者。然而，由于与市政公用事业公司的合作以及根据德国法律必须向州政府报告数据，数据所有权很复杂。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
持有者拥有来自3D 地震勘测的表格数据，这对于训练人工智能进行地质勘探和地下建模以识别可行的能源场地至关重要。
Industrial data
这是来自地热钻探作业的时间序列数据，包括温度和压力，这对于开发优化资产性能和安全的预测性维护模型非常有价值。
IoT / sensor data
该数据集包括来自实时工厂运营的高频物联网数据，为构建和训练数字孪生和实时异常检测系统提供了核心燃料。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Deutsche Erdwaerme Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Digital Twin in Energy & Power Market was valued at USD 6.6 billion in 2025, projected to grow at a CAGR of 13.9% (2026-2035) (source: Global Market Insights Inc.). [1]. Investment score 72.6/100 (confidence 0.49). Recommended action: Acquire.
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