Dataset opportunity
Sustainableblue — 传感器遥测数据集机会
Sustainableblue 持有的中等传感器遥测数据集，可用于预测性维护和异常检测。
Score
69.7
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 = 2025 年为 151.0 亿美元，复合年增长率为 31.1%。
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
传感器遥测数据集
Modality
时间序列
Sector
其他
Volume
中等
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
Sustainableblue 持有其工业水产养殖运营的专有传感器遥测数据集，结构为时间序列数据。该数据集从 SCADA/PLC 系统和物联网设备收集，提供高频、实时的运营指标，非常适合开发和验证预测性维护模型，从而能够预测泵、过滤器和曝气器等关键系统中的设备故障。
商业价值巨大，因为全球预测性维护市场预计在 2025 年将达到151.0 亿美元，并预计以31.1% 的复合年增长率增长。这种爆炸式增长凸显了专业工业数据的高需求和稀缺性。虽然由于其与商业秘密流程的联系以及在新斯科舍省潜在的现场服务器访问，访问需要协商，但该数据集的独特质量为在这个快速扩张的151.0 亿美元市场中创建高价值人工智能解决方案提供了显著优势。⚠ 尽职调查（有价值的数据，可协商访问）：数据可能存储在控制 RAS 的专有 SCADA/PLC 系统中；运营数据与其商业秘密水产养殖过程密切相关；如果未进行云集成，可能需要物理访问新斯科舍省的现场服务器。· 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 Sustainableblue 拥有并运营一个专有的循环水产养殖系统（RAS），这是一个复杂的闭环工业环境。由此产生的传感器遥测数据对于寻求构建和验证预测性维护模型的工业人工智能供应商来说是一项稀缺资产。在一个年增长率超过 30% 的市场中，该数据集提供了一个独特的机会，可以对来自高控制、高价值生产系统的真实运营数据进行算法训练，从而提供独特的竞争优势。
See dimension details ↓- Dataset Specificity62
主导的 'iot_data'，行业其他，2 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 Rarity70
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 Value74
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 Demand96
人工智能买家需求极高，这得益于预测性维护市场的快速增长，该市场正以 31.1% 的复合年增长率扩张。
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=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 Orientation22
0 数据胃口信号（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 — 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 Audit92
✓ 良好目标 — 绝佳目标：Sustainable Blue 是一家陆基鲑鱼养殖中小型企业，其核心业务是销售鱼类，而不是数据。它使用专有的传感器驱动技术（RAS），作为其主要运营的副产品，创造了一个有价值的、未被开发的数据库。问题：该公司在 2024 年初因设备故障而进入破产管理，但被其少数股东收购，后者正在为其恢复和扩张提供资金。
- Deep Qualification90
✓ 通过 — Sustainable Blue 是一个数据持有者。它销售在专有陆基循环水产养殖系统（RAS）中生产的鲑鱼，这是一个由 SCADA/PLC 系统控制的复杂工业过程。假设的传感器遥测数据集是该核心运营活动的极有可能的副产品。2024 年破产管理后的近期公司重组为探索新收入来源提供了一个潜在的触发因素。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这证实了数据源自一个复杂的、仪表化的循环水产养殖系统，其专有设计确保了生成的时间序列数据是独一无二且不公开可用的。
Industrial data
这些证据描述了系统高度受控的运营成果，证明了传感器数据与水质和生物安全等有形结果相关联，这对于风险缓解模型至关重要。
business_records
这记录了持续的、高质量的产品产出，提供了一个商业成功指标，将优化的设备正常运行时间直接与最终产品价值和一致性联系起来。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Sustainableblue Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $15.10 Billion in 2025, CAGR 31.1% (source: Market Research Future). Investment score 69.7/100 (confidence 0.49). Recommended action: Acquire.
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