Dataset opportunity
Nrstor — 工业传感器数据集机会
Nrstor 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
76.2
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
全球预测性维护市场在 2024 年的估值为 123 亿美元，预计到 2033 年的复合年增长率为 29.7%。[1]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-16
Northeast states eye offshore HVDC transmission as Trump drops wind fight
utilitydive.com ↗ - 📰press2026-06-16
A New Coal Plant in the U.S.? Once Unthinkable, Now a Strong Maybe
powermag.com ↗ - 📰press2026-06-16
L’hydrogène, les CEE, le mécanisme de capacité au menu du CSE
greenunivers.com ↗ - 📰press2026-06-16
Prix négatifs : le CSE saisi d’une nouvelle évolution de l’obligation d’achat
greenunivers.com ↗ - 📰press2026-06-15
Les députés RN reviennent à la charge sur le moratoire éolien et solaire
greenunivers.com ↗
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.
- ✨Signal
专注于运营效率和电网频率响应数据
source ↗
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
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
Nrstor 持有其能源存储业务中有价值的工业传感器数据，主要以时间序列的形式。这些数据，包括 `event_streams` 和 `iot_data`，提供了设备性能的详细实时日志，非常适合开发和训练旨在预测资产故障和优化运行正常运行时间的预测性维护模型。
此类数据的重要需求反映在全球预测性维护市场，该市场在 2024 年的价值为123 亿美元，预计将以惊人的29.7% 的复合年增长率扩张。[1] 虽然存在访问复杂性，例如与合资伙伴共享数据所有权或需要特定的领域专业知识，但这些因素凸显了数据的稀有性和战略价值。对于人工智能买家来说，克服这些障碍以获取如此专业的数据集可以提供独特的竞争优势，值得付出谈判的努力。⚠ 尽职调查（有价值的数据，可协商访问）：主要项目（如 Oneida）的数据所有权可能与合资伙伴（例如 Northland Power、Six Nations）共享；技术工业数据需要特定的领域专业知识来解释 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实了 Nrstor 对大规模工业能源存储设施的专有、高保真时间序列数据的拥有权。该数据集是开发预测性维护模型的人工智能供应商的关键资产，该市场预计在 2024 年将超过 123 亿美元。数据侧重于充电/放电周期、机械性能和电网稳定性，提供了培训算法关于真实世界资产退化和故障模式的难得机会，这是快速增长行业中的关键差异化因素。
See dimension details ↓- Data Orientation39
1 数据需求信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dataset Specificity90
主导的 'iot_data'，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 条证据
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
预测性维护市场是工业传感器数据集用于人工智能的主要消费者，预计到 2033 年将以 29.4% 的复合年增长率 (CAGR) 增长至 910.4 亿美元，这表明增长异常强劲且持续。
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 条命中
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=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. - Dormant Data Surplus92
盈余=高，5 条近期外部信号 — 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 Audit100
✓ 良好目标 — Nrstor 是一个绝佳的目标，因为它开发、拥有和运营能源存储项目，这些项目在其核心运营业务的副产品中生成有价值的传感器数据，并且没有证据表明它们目前正在销售这些数据或由此产生的智能。
- Deep Qualification80
✓ 通过 — NRStor 持有其能源项目运营的副产品中有价值的工业传感器数据，但这些数据受到复杂的合资所有权结构的限制，使得谈判和获取具有挑战性。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这是来自一个庞大的 250MW 电池存储项目的运营时间序列数据，直接提供了对健康状态指标的洞察，这对于训练资产生命周期优化模型至关重要。
Industrial data
该数据集包括来自工业飞轮的高频传感器读数，详细说明了在高压下的机械性能，这对于开发高速旋转机械的故障预测算法非常有价值。
Event streams
这些跨多个能源项目的历史性能数据集合提供了资产利用率的宏观视图，使人工智能模型能够将运营策略与长期设备退化相关联。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for use in developing and training predictive maintenance models. Specific usage rights to be detailed in the full license agreement, considering potential joint venture data ownership complexities.
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 value is driven by its high rarity as proprietary industrial sensor data from energy storage operations, crucial for predictive maintenance. The significant and growing market for predictive maintenance, valued at $12.3 billion in 2024 with a 29.7% CAGR, underscores strong demand for such specialized time-series data.
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Nrstor 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 was valued at $12.3 Billion in 2024 and is expected to grow at a CAGR of 29.7% through 2033. [1]. Investment score 76.2/100 (confidence 0.49). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Wondrwall — 传感器遥测数据集机会
View opportunity →出行Fleetalliance — 维护日志数据集机会
View opportunity →移动Covase — 移动遥测数据集机会
View opportunity →