Dataset opportunity
Tokamakenergy — 工业传感器数据集机会
Tokamakenergy 持有的中等规模工业传感器数据集，可用于预测性维护和异常检测。
Score
71.5
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 136.5 亿美元，复合年增长率为 24.30%（来源：Fortune Business Insights）。[9]
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
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — 许可权待澄清
Buyer persona
工业人工智能与维护优化供应商
Tokamak Energy 持有的专有工业传感器数据集，源自其先进的聚变反应堆运行。这些数据包含高频时间序列遥测数据，包括 `event_streams` 和 `industrial_data`，提供了组件在极端物理条件下性能的详细、真实记录，使其非常适合开发和验证预测性维护算法。
该数据定位于全球预测性维护市场，该市场在 2025 年的价值为136.5 亿美元，预计将以 24.30% 的复合年增长率增长。[9] 尽管由于其高度技术性和战略知识产权敏感性，访问权限很复杂，但该数据的稀有性（需要专业的物理和工程知识才能解读）为人工智能买家提供了一个独特的机会，可以在快速扩张的工业领域获得显著的竞争优势。[9] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：高度技术性的物理和工程遥测数据；关于聚变反应堆设计的战略知识产权敏感性；需要专业的领域知识来解读传感器数据 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Tokamak Energy 持有专有的时间序列传感器数据集合，记录了工业组件在极端物理应力下的性能和故障模式。该数据集由其创纪录的聚变反应堆和先进磁体系统生成，是开发预测性维护模型的人工智能供应商的重要资产。它提供了一个难得的机会，可以对高风险设备行为（如淬灭事件和等离子体不稳定性）进行算法训练，从而在快速增长的工业优化市场中获得显著的竞争优势。
See dimension details ↓- Dataset Specificity90
主导的“物联网数据”，工业领域，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
人工智能买家需求异常高，这得益于预测性维护应用的来源**复合年增长率**为**24.30%** 的市场快速扩张。[9]
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. - Acquisition Feasibility14
高难度，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 License70
所有权=已拥有，许可=权利不明确
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，5 个近期外部信号 — 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 Audit92
✓ 好目标 — 绝佳目标：一家资金充足、以研发为重点的公司，致力于开发聚变能源，其产生大量专有传感器数据作为副产品，目前不进行销售。问题：该公司规模较大，超过了中小型企业的定义，拥有 300 多名员工，但其低收入表明它仍处于商业化前、研发阶段。[2, 4；虽然其核心业务不是数据，但他们开始将其高温超导磁体技术货币化，这是一种源自其研发的硬件产品，而不是数据。
- Deep Qualification90
⚠ 需要审查 — Tokamak Energy 是一家商业化聚变能源和超导磁体的技术开发商，而不是数据销售商。假设的传感器数据集是其 ST40 托卡马克研发的合理且非常有价值的副产品，但它构成了战略知识产权，并未商业提供。[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>Enquête – La Fédération française des producteurs agrivoltaïques (FFPA) est en grande difficulté. Plusieurs sources internes et externes à l’association font état auprès de GreenUnivers d’une situation budgétaire inquiétante et d’un bureau affaibli. La présidente, Audrey Juillac, réélue en novembre 2025, a démissionné fin juin sur fond de dissensions stratégiques dans un secteur des énergies renouvelables […]</p> <p>L’article <a href="https://www.greenunivers.com/2026/07/agrivoltaisme-la-ffpa-mise-en-peril-par-la-multiplication-des-departs-429901/">Agrivoltaïsme : la ”
- “<p>La sélection des documents parus cette semaine utiles aux acteurs de la transition énergétique. A retrouver tous les vendredis. Les nouveaux documents sont ajoutés à ceux rendus publics auparavant : textes réglementaires clés définitifs ou en consultation, documents de régulation, études pertinentes de cabinets d’analyse et conseils, états financiers…</p> <p>L’article <a href="https://www.greenunivers.com/2026/07/les-documents-de-la-semaine-381215/">Les documents de la semaine</a> est apparu en premier sur <a href="https://www.greenunivers.com">GreenUnivers</a>.</p>”
- “<p>California-headquartered Pacific Fusion announced that a pulsed-power prototype designed and built at Lawrence Livermore National Laboratory (LLNL) has surpassed 3,000 shots under a Cooperative Research and Development Agreement with the company. Pacific Fusion on July 16 said this marks a key milestone in the development of high-gain fusion, and provides a practical example of government-industry […]</p> <p>The post <a href="https://www.powermag.com/pacific-fusion-says-pulsed-power-prototype-hits-milestone-at-national-lab/">Pacific Fusion Says Pulsed-Power Prototype Hits Milestone at”
IoT / sensor data
该数据集包括聚变反应堆内数千个运行周期的详细传感器日志，该反应堆达到了创纪录的 1 亿摄氏度，为模拟组件在极端热应力下的行为提供了宝贵数据。
Industrial data
这些证据指向了先进磁体系统测试的时间序列数据，捕获了关键的故障事件，如磁体淬灭以及在高强度磁场（26.2 特斯拉）和低温应力下的性能指标。
Event streams
该集合包含捕获等离子体行为的高速（16,000 fps）视频流，提供了一个丰富的多模态数据源，用于将视觉异常与传感器检测到的不稳定性相关联。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Tokamakenergy Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $13.65B in 2025, CAGR 24.30% (source: Fortune Business Insights). [9]. Investment score 71.5/100 (confidence 0.49). Recommended action: Acquire.
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