With the construction of socialist economy and the continuous improvement of national economic level, stricter requirements have also been placed on power grid engineering. The intelligent evaluation technology in China's power grid engineering has made significant breakthroughs so far. This article uses NLP and OCR technology for intelligent analysis in the evaluation of power grid projects, and analyzes the application of this technology in it. Combining NLP technology for adaptive learning and error compensation in the process of extracting key indicator features for distribution network projects, extracting refined indicator parameters for human, financial, and material aspects of distribution network projects to achieve intelligent extraction of key indicators for distribution network projects. OCR technology is the most critical technology in the process of digitizing paper text archives, which changes the traditional concept of inputting paper media data. This article effectively improves the information feedback speed of power enterprises through NLP and OCR technology, fully ensuring the stability, environmental protection, efficiency, and economy of electricity supply. The technology presented in this article has significantly improved the operational efficiency of the power grid and improved the operational efficiency of power enterprises.

Jiangqian Huang, Yihui Wang, Lin Jin, Yuhang Wang. Intelligent Analysis and Application of NLP and OCR Technologies in Power Grid Project Evaluation. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 9: 8-12. https://doi.org/10.25236/IJNDES.2023.070902.

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