Dataset opportunity
Corpowerocean — 维护日志数据集机会
Corpowerocean 持有的海量维护日志数据集，可用于预测性维护和异常检测。
Score
48
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
65%
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)
全球预测性维护市场在 2025 年达到 151.0 亿美元，预计将以 31.1% 的复合年增长率增长。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-12
Grote mijlpaal voor ontwikkeling golfenergie
energeia.nl ↗
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.
Profile
Dataset profile
Type
维护日志数据集
Modality
时间序列
Sector
工业
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Corpowerocean 持有一个维护日志数据集，其中包含其专有海上波浪能转换器 (WEC) 的高频时间序列数据。这些独特的工业数据是从极端海洋环境中捕获的，为开发和验证旨在预测严苛条件下设备故障的稳健预测性维护模型提供了丰富的基础。
预测性维护的全球市场在 2025 年的价值为151.0 亿美元，预计将以 31.1% 的复合年增长率扩张。[4] 尽管由于其高频性质和对流体动力学建模的战略研发价值，访问此数据集需要进行谈判，但此物联网数据的稀缺性为旨在为要求严苛的能源行业构建卓越预测算法的 AI 买家提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商访问）：数据由专有海上硬件 (WEC) 生成；来自极端海洋环境的高频传感器数据；对流体动力学建模和预测性维护具有战略研发价值。· 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 Corpowerocean 拥有其部署在北大西洋的波浪能转换器的专有、高稀缺性时间序列运行日志数据集。这些在真实世界和极端风暴条件下捕获的独特数据，是工业人工智能供应商构建下一代预测性维护模型的宝贵资产。在一个预计每年增长超过 30% 的全球市场中，该数据集为优化可再生能源行业的资产绩效和降低运营成本提供了独特的竞争优势。
See dimension details ↓- Buyer Demand92
人工智能买家需求异常高，这得益于预测性维护市场 31.1% 的快速复合年增长率，从而产生了对独特工业数据集以构建竞争性模型的大量需求。[4]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility62
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility4
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Dataset Specificity90
占主导地位的“维护日志”，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 Volume70
6 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. - Evidence Strength89
5 种证据类型，6 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=公司所有，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 Orientation56
2 个数据需求信号（2 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，1 个近期外部信号 — 超出已货币化部分的专有数据
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 Audit75
⚠ 审查 — 该公司的核心业务是销售包含先进监控、控制软件和 O&M 服务的波浪能系统，这将其归类为智能/人工智能软件供应商，而不是休眠数据持有者。问题：该公司的核心产品是交钥匙波浪能系统，其中明确包含“工业级监控和 SCADA 平台”、“远程监控；此产品是作为其主要产品销售的智能/分析的一种形式，这违反了 ICP 排除核心业务为 i 的公司的规则；他们正在积极开发基于人工智能的系统控制，这进一步巩固了他们作为智能供应商而非简单数据持有者的地位。[2
- Deep Qualification90
✓ 通过 — Corpowerocean 是一个数据持有者。它开发并运营自己的专有波浪能转换器，使其高频维护和运营数据成为其核心业务（销售清洁能源技术和项目）的有价值副产品。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Developer portal
面向公众的业务发展沟通证实 Corpowerocean 与公用事业公司和项目开发商建立了积极的合作伙伴关系，这表明其是一家已准备好进行数据许可的商业成熟组织。
Knowledge base / docs
关于运维程序和库存管理的文本文档为维护事件提供了关键背景信息，非常适合为监督学习模型标记时间序列数据。
IoT / sensor data
该数据集包含来自部署资产的监控和控制系统的实时传感器数据，提供了训练异常检测算法所需的原始信号。
Industrial data
包括将运行条件与发电量联系起来的工业绩效数据，从而能够构建优化维护计划和发电效率的模型。
Maintenance logs
包含来自极端天气事件的高价值运行日志，提供了关于资产弹性的稀有数据，这对于训练稳健的预测性维护模型至关重要。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Corpowerocean Maintenance Logs — a Large maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market reached $15.10 Billion in 2025, forecast to grow at a CAGR of 31.1% (source: Market Research Future). [4]. Investment score 48.0/100 (confidence 0.65). Recommended action: Acquire.
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