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

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.