Spreadsheet standardization processing method and system based on large language model

By using a spreadsheet standardization processing system based on a large language model, data processing functions are dynamically generated, solving the problem of intelligent parsing of Excel quotation sheets with different formats, and realizing efficient and low-cost data standardization conversion and adaptive processing.

CN121835629BActive Publication Date: 2026-06-26ZHEJIANG ZIBUYU ELECTRONIC COMMERCE CO LTD
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Patent Information

Application Number
CN202610306025.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-03-13
Publication Date
2026-06-26
Estimated Expiration
2046-03-13

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively process unstructured or semi-structured Excel quotations with varying formats and complex structures, resulting in high data processing costs, low efficiency, and a lack of intelligence and adaptability, failing to meet the needs of cross-source data integration and comparative analysis.

Method used

A spreadsheet standardization processing system based on a large language model is adopted. Through file acquisition, structure parsing, slicing and execution modules, combined with domain keywords and multi-pattern matching algorithms, data processing functions are dynamically generated to achieve intelligent parsing and standardized transformation of complex spreadsheets.

Benefits of technology

It achieves automated processing without the need for predefined rules, reduces labor costs, improves processing efficiency, outputs data files in a uniform format, and enhances the robustness and transparency of the processing flow through intelligent error diagnosis and adaptive mechanisms.

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Abstract

The application provides a large language model-based electronic form standardization processing method and system, and belongs to the technical field of data processing, and specifically comprises the following steps: a file acquisition module is responsible for intelligently screening a target worksheet set containing valid data; a slicing module is responsible for partitioning the content of the worksheet to obtain a plurality of data slices; the table header of each data slice and sample data are input into a large language model workflow to intelligently identify the dimension type and structural characteristics of the data; an execution module is responsible for generating management strategies and prompt words, calling a large language model to dynamically generate a targeted data processing function code, executing the generated function code through a function execution engine, and standardizing and converting the data slices; and all successfully processed data is combined and exported as a standardized electronic form, thereby improving the efficiency of the standardization processing of the electronic form.
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