Abstract: This study aims to build a key fund supervision model based on the Kunlun Large Model. It seeks to build an intelligent and full-process supervision system for key fund businesses based on AI large Model, to improve the efficiency and accuracy of fund business supervision, According to the pain points of energy enterprises—such as the large scale of fund business, difficulties in unstructured data processing, and delayed risk identification. First, it analyzes the current status of key fund business supervision in oil and gas fields, the Kunlun Large Model, and the application of artificial intelligence in the field of inspection. Next, it clarifies the research objectives and problem definition, prepares experimental materials and equipment, elaborates on research methods, and completes data collection and pre-processing. Then, it selects appropriate algorithms to construct a fund business inspection model, optimizes and verifies model parameters, and determines model evaluation indicators. By conducting quantitative data analysis and qualitative interpretation of the experimental results, the study compares and validates the outcomes. This research solves the problems of low efficiency and insufficient accuracy in traditional supervision models. It can be clearly seen from this study that the supervision model based on the Kunlun Large Model has significant advantages in the supervision of key fund businesses of oil and gas field enterprises: it can effectively identify potential risks and provide strong protection for the safety of enterprise funds. It is expected to be promoted and applied in energy sector in the future.

Key words: Fund supervision, Kunlun Large model, financial and accounting audit, financial and accounting supervision, Financial intelligence.

摘要： 本研究旨在构建基于昆仑大模型的重点资金业务稽查模型。针对油气田企业资金业务规模庞大、非结构化数据处理难、风险识别滞后等痛点，旨在构建一套基于大模型的重点资金业务监管体系，以提升资金业务监管效率与精准度。首先分析了油气田重点资金业务监管、昆仑大模型及稽查领域人工智能应用现状。接着明确研究建设与问题定义，准备实验材料与设备，阐述研究方法，完成数据收集与预处理。然后选择合适算法构建资金业务稽查模型，优化参数并校验，确定模型评估指标。通过对实验结果进行定量数据分析与定性结果解读，对比验证结果。该研究解决了传统稽查模式效率低、精准度不足的问题。通过本文的研究，可以看出基于昆仑大模型的资金监管模型在油气田企业重点资金业务监管中具有显著优势，能快速有效识别潜在风险，为企业资金安全提供有力保障，未来有望在更多能源企业推广应用。

关键词: 资金监管, 昆仑大模型, 财会监督, 财会稽查, 财务智能化