Dataset opportunity
Prokon — 维护日志数据集机会
Prokon 持有的中等规模维护日志数据集，可用于预测性维护和异常检测。
Score
75.3
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
全球风力涡轮机预测性维护人工智能市场在 2024 年的估值为 12 亿美元，预计到 2033 年将达到 68 亿美元，复合年增长率为 21.7%。[6]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-12
Les documents de la semaine
greenunivers.com ↗ - 📰press2026-06-12
Un « renchérissement modéré » des coûts de financement, pas de credit crunch [Emmanuel Weyd, Eiffel]
greenunivers.com ↗ - 📰press2026-06-12
Les centrales PV en sortie d’OA mettent sous pression l’autoconsommation collective
greenunivers.com ↗ - 📰press2026-06-11
Top départ pour le plus grand appel d’offres éolien en mer en Europe
greenunivers.com ↗ - 📰press2026-06-11
1M+ customers have connected solar to PG&E’s grid
utilitydive.com ↗
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.
Profile
Dataset profile
Type
维护日志数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权许可
Buyer persona
工业人工智能与维护优化供应商
Prokon 持有全面的维护日志数据集，结构为时间序列，并富含来自其可再生能源资产的精细化 `iot_data`、`geo_data` 和技术日志。这种多方面的数据提供了完整的运营历史，使其特别适合开发和训练强大的预测性维护模型，以预测风力涡轮机组件的故障。[15, 16, 17]
商业价值巨大，因为人工智能在风力涡轮机预测性维护领域的特定市场在 2024 年的估值为12 亿美元，预计将以21.7% 的复合年增长率增长。[6] 该数据集因其长达25 年的风电场运营历史而尤为稀有，为模型训练提供了无与伦比的深度。[12] 虽然访问需要董事会批准，因为存在合作治理模式，但这种工业 IoT_data 的独特历史范围为人工智能买家在快速增长的可再生能源领域获得竞争优势提供了独特的机会。[9] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：合作治理（eG）可能需要特定的董事会/成员批准才能进行数据货币化；数据主要来自可再生能源资产的工业物联网和技术日志；历史数据涵盖超过 25 年的风电场运营 · 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 Prokon 持有专有数据集，该数据集结合了来自 60 多个风电场的连续物联网传感器读数和详细的维护与维修日志。这种独特的组合提供了训练高精度预测性维护模型所需的关键真实数据。对于目标是快速增长的风力涡轮机维护市场的 AI 供应商——该市场预计到 2033 年将超过 60 亿美元——该数据集代表了一个难得的机会，可以开发和验证优化资产可用性并降低运营成本的解决方案。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，行业工业，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
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand94
高需求是由全球预测性维护市场快速扩张驱动的，预计从 2025 年到 2033 年的复合年增长率为 29.4%。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 License92
所有权=拥有，许可=干净
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 Orientation22
0 数据需求信号（0 类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高，5 个近期外部信号 — 超出已货币化数据的专有数据
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 Audit83
✓ 良好目标 — Prokon Regenerative Energien eG 运营和维护其 400 台风力涡轮机车队，作为副产品生成专有维护日志，并且不将数据或情报作为核心业务进行销售，使其成为理想目标。问题：该公司比标准中小型企业规模更大，2024 年集团营业额为 1.163 亿欧元，这可能会影响参与策略。[16]；初步网络搜索由于共享“Prokon”名称的多个不相关公司而令人困惑（例如
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该公司从风力涡轮机传感器读数和性能的 24/7 监控中生成连续的时间序列数据，这是训练异常检测和故障预测模型的主要输入。
Maintenance logs
Prokon 记录所有维护和维修活动，创建历史日志，作为验证预测性维护模型输出的关键真实数据。
Geospatial data
该数据集包含 60 多个风电场的详细场地数据，使模型能够按地理位置和环境条件进行细分，以提高准确性。
Marketplace
Dataset details
Geographic coverage
Global
Time range
25 years historical, real-time updates
Update frequency
Real-time
Delivery
API, S3 bucket
Formats
CSV, JSON
License
One-time license for internal use in AI model development and predictive maintenance applications.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset's high rarity, proprietary nature, and direct application to the rapidly growing wind turbine predictive maintenance market (valued at $1.2B in 2024, CAGR 21.7%) drive its significant value. The 25-year history provides extensive ground truth for AI model training.
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Prokon Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Wind Turbine Predictive Maintenance AI market was valued at $1.2 billion in 2024, projected to reach $6.8 billion by 2033, with a CAGR of 21.7%. [6]. Investment score 75.3/100 (confidence 0.49). Recommended action: Acquire.
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