Dataset opportunity
Subroca — 维护日志数据集机会
Subroca 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
72.9
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)
全球预测性维护市场在 2025 年估值为 142 亿美元，预计将以 27.9% 的复合年增长率增长（2026-2033 年）。
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
混合所有权 — 许可清晰
Buyer persona
工业人工智能与维护优化供应商
Subroca 持有一个宝贵的维护日志数据集，该数据集结构为来自其工业设备的时间序列数据。这种独特的iot_data是通过专有传感器收集的，提供了详细的操作和故障证据（`industrial_data`、`maintenance_logs`），非常适合开发和训练强大的预测性维护模型。
全球预测性维护市场在 2025 年的估值为142 亿美元，预计将以27.9% 的复合年增长率增长。[2] 这一显著的市场增长凸显了对 Subroca 等专业数据集的需求。尽管存在访问复杂性，例如与专有的 AirGuardian® 系统集成以及与现场运营商共享数据权，但该数据稀有性——来源于偏远的地下矿山和隧道——使其成为寻求竞争优势的 AI 买家的优质资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据由部署在偏远地下客户站点（矿山、隧道）的设备生成；需要与他们的专有 AirGuardian® 监控系统集成以实现实时访问；数据所有权和访问权可能根据具体服务合同与现场运营商共享。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Subroca 从其工业安全设备捕获专有的时间序列数据，记录重要的操作和环境参数。该数据集直接适用于开发预测性维护模型的工业人工智能供应商，该市场预计将以 27.9% 的复合年增长率增长。该数据的稀有性及其在优化资产性能和防止故障方面的直接适用性，使其成为维护优化领域任何公司的宝贵资产。
See dimension details ↓- Dataset Specificity90
主导的“维护日志”，工业部门，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 Demand90
买家需求极高，这得益于预测性维护市场的快速增长，预计该市场将以 27.9% 的复合年增长率扩张，因为各行业越来越多地采用人工智能来最大限度地减少设备停机时间。[2]
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 License58
所有权=混合，许可=清晰
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 个数据需求信号（0 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 Audit100
✓ 良好目标 — Subroca 是一家法国中小型企业，生产地下环境安全设备，不销售数据，使其成为一个潜在的休眠维护和运营数据的好目标，这些数据来自其部署的配备传感器的硬件。问题：最初的提示提到了“维护日志数据集机会”，但没有证据表明 Subroca 目前销售或营销此数据；它似乎；该公司的核心业务显然是制造和销售实体安全设备（避难舱、通风系统）及相关工程服务；他们的设备包括“AirGuardian”等传感器技术，用于监控其避难舱内的参数，这表明他们正在生成运营数据。
- Deep Qualification90
⚠ 需要审查 — Sub'roca 是一家销售/租赁安全设备的工具供应商；其 AirGuardian® 系统产生的运营数据由现场客户生成并可能归客户所有，因此 Sub'roca 无法获取。[数据归其客户所有]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
Subroca 的系统从集成传感器生成精细的IoT 数据，提供训练复杂异常检测算法所需的高频环境和操作输入。
Maintenance logs
该数据集包括工程师进行的远程诊断日志，提供了用于监督学习的关键、专家验证的标签，并验证了设备的运行状态。
Industrial data
该公司通过记录其智能设备的所有操作参数来捕获全面的工业数据，从而全面了解资产行为，以便进行深入的性能分析。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Subroca Maintenance Logs — a Moderate maintenance logs dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market was valued at $14.2 billion in 2025, projected to grow at a CAGR of 27.9% (2026-2033) (source: Grand View Research). [2]. Investment score 72.9/100 (confidence 0.49). Recommended action: Acquire.
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