Dataset opportunity
Lion Storage — 传感器遥测数据集机会
Lion Storage 持有的中等规模传感器遥测数据集，可用于预测性维护和异常检测。
Score
75.2
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
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 年的估值为 140.9 亿美元，预计在 2026-2031 年期间的复合年增长率为 34.14%（来源：Mordor Intelligence）。[18]
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
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 — 许可清晰
Buyer persona
工业人工智能与维护优化供应商
Lion Storage 拥有其物理、公用事业规模电池资产产生的专有传感器遥测数据集。此高保真时间序列数据包含精细的 `event_streams`、技术性的 `industrial_data` 和 `iot_data`，提供全面的运营视图，非常适合开发和验证预测性维护算法，以预测组件故障并优化资产性能。
商业价值巨大，因为全球预测性维护市场在2025 年的估值为 140.9 亿美元，预计将以34.14% 的复合年增长率增长。[18] 由于数据的稀缺性和在能源交易中的战略重要性，访问权限需经协商。然而，其对高增长人工智能应用的直接适用性为能源行业的买家提供了独特的竞争优势。⚠ 尽职调查（有价值的数据，可协商访问）：数据由公司拥有/运营的物理公用事业规模电池资产生成；高度技术性的物联网和电网交互数据；对能源交易算法具有战略价值，这可能使他们对数据采取保护措施。· 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 Lion Storage 运营着公用事业规模的能源存储系统，生成专有的传感器遥测数据流。这种高稀缺性的时间序列数据集是训练预测性维护模型以优化高价值工业设备的至关重要的资产。对于人工智能供应商而言，它代表了一个独特的机会，可以在快速增长的电网平衡和能源存储市场中建立竞争优势，该市场预计将大幅扩张。
See dimension details ↓- Dataset Specificity74
主导的 'iot_data'，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. - Buyer Demand95
人工智能买家需求异常高，这得益于预测性维护市场 34.14% 的快速复合年增长率，而此类稀有的工业数据对此至关重要。[18]
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 个命中
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=已拥有，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 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 — 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 Audit83
✓ 良好目标 — 该公司运营大型电池储能系统，使其传感器遥测数据成为其核心能源业务的有价值副产品，这与 ICP 完全一致。问题：该公司已筹集了大量资金（7.44 亿美元），可能比典型中小企业规模更大。[1]；网络搜索结果充斥着多家使用“Lion”品牌的、不相关的美国自助仓储公司（例如 Storage Lion、Lion Country Storage）。[2]
- Deep Qualification90
⚠ 需要审查 — 目标是公用事业规模电池储能资产的开发商和运营商；它不将数据作为核心产品出售。声称的“传感器遥测数据集”是其核心业务的高度合理副产品。数据归公司所有，但可能被视为战略性和敏感性数据，因此访问权限需经协商。[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>Lincoln Electric System is energizing a 3-MW/12-MWh zinc-based battery to support the Nebraska state Capitol complex and other critical infrastructure.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/R9VpWXCI-N45Br9Sxcuid13dNR4kDAaWssKLIGBBmTE/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0xMjA2NTM2NzAzLmpwZw==.webp" /></div></figure><p>Regulatory complexities are thwarting innovation and keeping electricity bills for the majority of Californians far too high, writes Ardi Arian, CEO of Renewable America.</p>”
- “<p>Ce serait une quasi-première en France, mise à part une petite expérience au Triscastin (Drôme). EDF, par l’intermédiaire de sa filiale Dalkia, étudie la récupération de la chaleur produite par sa centrale nucléaire de Cattenom en Moselle, de manière à alimenter un réseau de chauffage urbain, indique La Tribune. Ces calories décarbonées perdues seraient  </p> <p>L’article <a href="https://www.greenunivers.com/2026/07/a-cattenom-edf-etudie-la-recuperation-de-la-chaleur-nucleaire-perdue-430853/">A Cattenom, EDF étudie la récupération de la chaleur nucléaire perdue</a> est apparu en premi”
Event streams
该数据集包含参与复杂电网平衡市场的事件流，提供具有商业相关性的数据，这对于模拟系统对真实世界频率控制需求的响应至关重要。
IoT / sensor data
遥测数据源自 100 MW 或以上的公用事业规模物联网系统，提供了对大型资产运行行为的无与伦比的洞察，这对于电网稳定性和供应安全至关重要。
Industrial data
数据捕获了专为能量转移设计的工业系统的长周期（通常为 4 小时）运行周期，提供了丰富、连续的时间序列数据，非常适合训练强大的预测性维护算法。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Lion Storage 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 was valued at $14.09 billion in 2025, projected to grow at a CAGR of 34.14% (2026-2031) (source: Mordor Intelligence). [18]. Investment score 75.2/100 (confidence 0.49). Recommended action: Acquire.
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