遇见数据集

Operational, Environmental, and Maintenance Data for Hydropower Plants – Di-Hydro Project

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Zenodo2025-07-30 更新2026-05-26 收录
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This dataset provides a structured collection of raw and semantically processed data related to the operation, maintenance, monitoring, and infrastructure of hydropower plants, developed within the scope of the EU-funded Di-Hydro project. The dataset includes both: Static data, such as descriptions of HPPs, dams, generators, penstocks, and associated assets, digitized into NGSI-LD entities. Dynamic data, including time-series sensor observations (e.g., vibration, flow, acoustic emissions), environmental and biodiversity monitoring, etc. All processed data are aligned with the NGSI-LD semantic model developed specifically for Di-Hydro, enabling interoperability and federation across hydropower digital infrastructures. The contents are divided into raw source files and harmonized semantic representations, and are organized per use case (Predictive Maintenance, Water Flow Prediction, Environmental Monitoring) and by data origin (historical or collected during the project). This repository supports Deliverable D3.1 and will continue to be updated as new data is collected and processed during the remainder of the project. ⚠️ Note: Access to this dataset is restricted due to confidentiality requirements. The data is not intended for public dissemination. For more information, please contact the Di-Hydro consortium.

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Zenodo
创建时间:
2025-07-30
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