Dataset opportunity
Compology — 工业传感器数据集机会
Compology 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
45
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
合作（集团层面）
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)
全球智能垃圾管理市场在 2025 年的估值为 41.2 亿美元，预计在 2026-2034 年期间的复合年增长率为 16.26%。
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
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
Compology 持有的智能垃圾桶监控系统专用工业传感器数据集，包含来自物联网传感器的时间序列数据以及用于视觉验证垃圾桶内容物和填充水平的图像集。这些丰富、多模态的数据直接适用于开发预测性维护模型，特别是用于优化垃圾收集计划、预测垃圾桶服务需求和提高路线效率。[6, 7, 9]
该数据的商业价值显著，运营于智能垃圾管理市场，该市场在 2025 年的估值为41.2 亿美元，预计将以16.26% 的复合年增长率增长。[1] 虽然访问需要 API 集成并需要了解其母公司 RoadRunner Recycling 的数据策略，但该物联网数据的稀缺性及其在高速增长市场中的直接适用性，使其成为寻求在物流和运营效率方面获得竞争优势的 AI 买家的宝贵资产。[1, 7] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：于 2022 年被 RoadRunner Recycling 收购；数据策略现已整合到母公司集团中；数据所有权可能与垃圾清运商和市政客户的合同共享或受限；访问原始数据集可能需要通过其现有 API 进行技术集成。· 公司：RoadRunner Recycling 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Compology 拥有海量专有工业数据集，其中包含超过 1.5 亿个时间序列数据点和6000 万个捕获垃圾桶状态的相应图像。这种独特的物联网和图像数据组合，对于寻求构建和验证下一代预测性维护和物流优化模型的工业人工智能供应商来说，是一项强大的资产。在智能垃圾管理市场年增长率超过 16% 的预测下，该数据集提供了一个难得的机会，可以在大规模的真实运营数据上训练算法，从而创造显著的竞争优势。
See dimension details ↓- Dataset Specificity78
主导的“物联网数据”，工业领域，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 Demand85
高买家需求源于对专业物联网数据的需求，以构建快速增长的智能垃圾管理市场（16.26% 的复合年增长率）的预测模型。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility40
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 Feasibility0
高难度，RoadRunner Recycling 的子公司
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=公司所有，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence45
RoadRunner Recycling 的子公司
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 — 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 Audit50
⚠ 审查 — Compology 的核心业务是销售人工智能软件和从传感器数据中提取的智能以优化垃圾管理，使其成为技术供应商，而不是休眠数据的持有者。问题：核心业务是销售智能：Compology 的产品是一个软件平台，利用人工智能、摄像头和传感器提供“垃圾智能”，以帮助客户；产品是数据/智能：该公司明确销售“垃圾和回收智能计量技术”以及从数据点中提取的“垃圾智能”；已上市：该公司的商业模式正是 ICP 定义的“不良目标”——将人工智能软件和分析作为产品进行销售。[4, 7] T；被一家更大的科技公司收购：Compology 于 2022 年被 RoadRunner Recycling 收购，RoadRunner Recycling 是一家更大的技术驱动型垃圾管理公司。[7, 8,
- Deep Qualification70
✓ 通过 — Compology 是一个数据持有者，拥有高度一致的数据集，但其于 2022 年被 RoadRunner Recycling 收购，使得数据所有权和许可权在未审查收购后合同的情况下不明确。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
这个包含超过 6000 万张图像的集合提供了垃圾桶内容的直接视觉证据，这是训练计算机视觉模型以检测污染和材料类型的关键输入。
IoT / sensor data
这是一个专有的时间序列数据集，包含超过 1.5 亿个关于垃圾桶填充水平、位置和服务历史的数据点，非常适合构建预测性维护和物流优化算法。
API access
API 的存在证实了数据是为程序化访问而设计的，使人工智能团队能够直接将原始数据流集成到他们的开发管道中，以进行自定义模型训练。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Compology Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Smart Waste Management market was valued at $4.12 billion in 2025, projected to grow at a CAGR of 16.26% (2026-2034). [1]. Investment score 45.0/100 (confidence 0.49). Recommended action: Partnership (group-level).
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