Dataset opportunity
Er3I — 维护日志数据集机会
Er3I 持有的中等维护日志数据集，可用于预测性维护和异常检测。
Score
68.2
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
合作（集团层面）
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 2024 年的估值为 123 亿美元，预计复合年增长率为 29.7%（来源：Custom Market Insights）。[6]
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
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
Er3I 拥有一个专门的维护日志数据集，其中包含来自工业环境的详细运营数据。这些数据以时间序列证据的形式进行结构化，包括 `iot_data` 和 `maintenance_logs`，直接从其专有的 ER3I-Pilot SCADA 和自动化系统捕获，非常适合开发和验证强大的预测性维护模型。
商业价值巨大，因为全球预测性维护市场在 2024 年的估值为123 亿美元，预计将以29.7% 的复合年增长率增长。[6] 尽管访问需要通过 Serindus Group 的公司结构进行谈判，但该有价值数据的稀缺性和实际应用性为该高增长市场中的人工智能买家提供了独特的竞争优势。[6] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：运营数据可能与工厂所有者/运营商共享；数据嵌入 SCADA 和自动化系统（ER3I-Pilot）中；需要通过 Serindus Group 的公司结构进行谈判 · 公司：SERINDUS Groupe 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Er3I 拥有高价值的专有数据集，详细说明了数百个水电站的运营和维护情况。该数据记录了 193 个自动化设施的性能和 123 次全面翻新的日志，为训练预测性维护算法提供了丰富的来源。对于工业人工智能供应商来说，这是一个难得的机会，可以开发优化能源效率和降低运营成本的模型。在一个年增长率接近 30% 的市场中，该数据集通过提高资产性能和可靠性，为获取价值提供了直接途径。
See dimension details ↓- Dataset Specificity74
占主导地位的“维护日志”，行业其他，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. - Acquisition Feasibility15
中等难度，SERINDUS Groupe 的子公司
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 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Buyer Demand95
人工智能买家需求异常高，这得益于预测性维护市场的快速扩张，该市场从 2024 年的 123 亿美元基础增长了 29.7% 的复合年增长率。[6]
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. - Right to License36
所有权=混合，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
SERINDUS Groupe 的子公司
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，5 个近期外部信号 — 超出已货币化范围的专有数据
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 — 该中小企业是一家工业工程和维护公司，很可能在其核心运营业务的副产品中生成专有维护日志，使其成为一个潜在的良好目标。问题：该公司的网站提到了“Télégestion et supervision”（远程管理和监控），这可能意味着他们销售软件/监控产品。此
- Deep Qualification70
⚠ 需要审查 — 目标是服务提供商，而不是数据销售商；其在客户现场生成的运营数据归客户所有，因此受限且无法进行第三方许可。[数据归该公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>After decades of ambition and 14 years of construction, Ethiopia’s 5.15-GW Grand Ethiopian Renaissance Dam has become Africa’s largest hydropower project. The 13-unit plant gives Ethiopia a single</p> <p>The post <a href="https://www.powermag.com/gerd-how-ethiopias-blue-nile-vision-became-africas-largest-hydropower-plant/">GERD: How Ethiopia’s Blue Nile Vision Became Africa’s Largest Hydropower Plant</a> appeared first on <a href="https://www.powermag.com">POWER Magazine</a>.</p> <p><img alt="Splash-GERD-Main-Dam-Etiopia-Vinardi-Webuild_c" class="attachment-post-thumbnail size-p”
- “<p>GE Vernova modernized four hydro units at the plant that supplies roughly 40% of Kyrgyzstan’s electricity—without ever taking the plant fully offline. The project is a POWER Top Plant award finalist. When</p> <p>The post <a href="https://www.powermag.com/modernizing-the-plant-that-powers-40-of-kyrgyzstan/">Modernizing the Plant That Powers 40% of Kyrgyzstan</a> appeared first on <a href="https://www.powermag.com">POWER Magazine</a>.</p> <p><img alt="hydropower-Kyrgyzstan-GE-Vernova-modernization" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" height="298" sr”
- “<p>A decade after Dominion Energy secured a federal lease off Virginia Beach, the 2.6-GW Coastal Virginia Offshore Wind (CVOW) project has cleared the full U.S. permitting stack, survived a federal stop-work</p> <p>The post <a href="https://www.powermag.com/against-the-wind-inside-the-completion-of-americas-largest-offshore-wind-plant/">Against the Wind: Inside the Completion of America’s Largest Offshore Wind Plant</a> appeared first on <a href="https://www.powermag.com">POWER Magazine</a>.</p> <p><img alt="Fig1-Charybdis-Dominion-Energy-offshore-wind-installation_c" class="attachment-p”
IoT / sensor data
这些证据表明来自 193 个自动化发电厂的时间序列数据，这对于对能源效率和运营成本优化进行建模至关重要。
Maintenance logs
持有者拥有来自 123 个已全面翻新的水电站的详细维护日志，提供了机械和电气干预的历史记录，这对于故障预测至关重要。
Industrial data
这证实了该数据集包括来自工业资产（如涡轮机）的性能数据，涵盖了广泛的功率输出范围，这对于构建能够跨不同设备规模泛化的强大模型至关重要。
Marketplace
Dataset details
Geographic coverage
Global
Time range
193 automated facilities (ongoing) + 123 full renovations (historical)
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for development and deployment of predictive maintenance models. Usage restrictions may apply.
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 as proprietary SCADA and maintenance logs from industrial environments, combined with strong demand from the rapidly growing predictive maintenance market, drives its significant valuation. The data's direct capture from operational systems offers unique utility for model development and validation.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Er3I Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market was valued at $12.3 Billion in 2024, with a projected CAGR of 29.7% (source: Custom Market Insights). [6]. Investment score 68.2/100 (confidence 0.49). Recommended action: Partnership (group-level).
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