Design of Unstructured Data Management Platform for Power Enterprises Based on the Internet of Things

Sun Haosong, Su Renjie, Gao Dongying, Zhang Hang, Ye Yidan · 2024

With the development of network technology, the power industry and enterprises have generated a large amount of unstructured data, including text, video, audio, pictures, and other files in different formats. By mining valuable data, it provides basic data for enterprise leaders to study the direction of enterprise development, identify existing problems, and make decisions. At present, many electric power enterprises' business data is in a decentralized state and cannot form a unified management mode; There are problems such as low data retrieval efficiency, inconsistent storage environment, and low utilization. This project builds an unstructured data management platform to achieve the storage, unified management, and unified search of unstructured data. It can also improve the core content of enterprise data management, and has great research and application value. This topic is formally proposed based on practical needs, and has great application value.

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