Dataset opportunity
Powin — 工业运营数据集机会
Powin 持有的海量工业运营数据集，可用于工业监控和预测。
Score
47.5
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
92%
Action
许可
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)
全球电池储能系统（BESS）市场预计将从 2025 年的 508.1 亿美元增长到 2030 年的 1059.6 亿美元，复合年增长率为 15.8%（来源：MarketsandMarkets）。[12]
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
工业运营数据集
Modality
时间序列
Sector
工业
Volume
海量
Freshness
实时
Rarity
高（专有）
Accessibility
开放/API
Legal
混合所有权 — 许可清晰
Buyer persona
工业人工智能集成商
Powin 持有一个宝贵的工业运营数据集，该数据集由其全球电池储能系统（BESS）车队生成的时间序列数据组成。这些数据包括 `iot_data`、`maintenance_logs`、`geo_data` 和 `event_streams`，全面展示了 BESS 的性能、退化和运营行为，非常适合开发先进的工业监控和预测性维护人工智能模型。访问通过与 Powin 专有的 HybridOS 和远程运营中心（ROC）集成进行管理。
该数据位于快速增长的BESS 软件市场内，该市场直接关系到此类系统的运营价值。预计到 2030 年，该市场将达到1059.6 亿美元，复合年增长率（CAGR）为 15.8%。[12] 尽管存在访问复杂性，例如集成要求和数据匿名化的潜在需求，但该工业数据的稀有性和深度为旨在抓住高增长能源领域价值的人工智能买家提供了显著的竞争优势。[12] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据来自物理资产（BESS），通常由第三方开发商或公用事业公司拥有；访问需要与他们的专有 HybridOS 和远程运营中心（ROC）集成；二次许可可能需要对特定电网位置或客户 ID 进行匿名化。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了来自工业电池储能系统（BESS）的高保真时间序列数据的拥有权。该数据集包括详细的SCADA馈送、实时事件流和资产健康指标，这些对于开发先进的工业监控和预测性维护模型至关重要。对于人工智能集成商而言，这些专有数据是抓住 BESS 市场（预计到 2030 年将翻一番）价值的直接途径——在该市场中，优化站点性能和资产寿命是关键的竞争优势。
See dimension details ↓- Dataset Specificity100
主导的“工业数据”，行业为工业，5 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（开放会降低稀有度）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume100
15 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 Value100
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求非常高，这得益于 BESS 市场的显著增长（复合年增长率为 15.8%）以及对数据驱动的工业监控解决方案以优化能源资产的关键需求。[12]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility90
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility84
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 Strength100
7 种证据类型，15 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 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，2 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 Audit58
⚠ 审查 — Powin 的核心业务是销售完全集成的电池储能系统（BESS），其中包括用于能源管理、监控和优化的先进软件（StackOS）作为关键产品特性，使其成为智能的销售者而非休眠数据的持有者。问题：该公司的核心产品是垂直集成的硬件和软件平台。[5, 13]；该软件 StackOS 被宣传为先进的电池管理和能源管理系统，该系统 p
- Deep Qualification90
✓ 通过 — 目标公司 Powin 已不再作为独立实体存在；它于 2025 年 6 月申请破产，其资产，包括所有知识产权和软件（StackOS），于 2025 年 8 月被 FlexGen 收购。因此，任何数据机会现在都归 FlexGen，即新所有者所有。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Developer portal
这些证据指向技术文档和开发人员资源，证明底层数据已结构化以便于程序化访问和集成，从而缩短了人工智能团队的价值实现时间。
Industrial data
这是来自工业控制系统的粒度时间序列数据，包括SCADA和发电厂控制器日志，对于建模和优化复杂的站点级运营（如负载平衡）至关重要。
Event streams
这些是来自电池工厂的连续实时运营数据流，为训练监控资产健康和实现即时决策的模型提供了基础数据。
press
- “<p>A major renewable energy developer and a leading independent asset manager have joined to support a portfolio of battery energy storage systems in Poland, part of the continuing buildout of new power infrastructure across Europe.</p> <p>The post <a href="https://www.powermag.com/battery-energy-storage-grid-investments-surge-across-europe/">Battery Energy Storage, Grid Investments Surge Across Europe</a> appeared first on <a href="https://www.powermag.com">POWER Magazine</a>.</p> <p><img alt="Fig1-ABB-Dalmine_c" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" height="269"”
- “<p>Support from the U.S. Department of Energy will be critical to the industry’s near-term success as customers look to lithium alternatives, International Zinc Association officials told Utility Dive.</p>”
Downloads / exports
这指的是技术营销资料，如白皮书，它们提供了关于系统设计和原始数据周围预期运行参数的关键背景信息。
Geospatial data
这表明了复杂的运行序列的结构化日志，例如黑启动程序，这对于训练人工智能管理关键、高风险的电网事件非常有价值。
IoT / sensor data
这是来自连接资产的传感器级数据，提供了能源管理系统所需的地面实况，用于训练高度准确的预测模型并识别性能限制。
Maintenance logs
这些是详细说明资产正常运行时间和预测性维护软件应用的系统日志，它们为验证和改进人工智能驱动的维护策略提供了直接证据。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API integration with HybridOS and ROC
Formats
Time Series, Logs, Event Streams
License
One-time license for AI model development and industrial monitoring use cases.
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 offers high-fidelity, real-time time-series data from a global fleet of BESS, crucial for advanced industrial monitoring and predictive maintenance in a rapidly growing market. Its proprietary nature and large volume of operational insights drive significant value.
Detailed schema & sample available on access request.
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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
Powin Industrial Operations — a Large industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Battery Energy Storage System (BESS) Market is projected to reach USD 105.96 billion by 2030 from USD 50.81 billion in 2025, at a CAGR of 15.8% (source: MarketsandMarkets). [12]. Investment score 47.5/100 (confidence 0.92). Recommended action: License.
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