近年来，随着区块链技术等加密技术的迅猛发展，促使了多种新兴虚拟货币的出现。这一系列的技术进步带来了线上匿名交易、去中心化以及无国界交易等特点，共同促成了全球范围内庞大虚拟货币交易市场的形成。伴随而来的，是不法之徒利用虚拟货币作为工具进行非法资金转移与隐藏资金来源的洗钱行为日益增加，这对世界各国的监管机构以及反洗钱部门提出了新的挑战，其复杂性和挑战性前所未有。基于我国目前对虚拟货币行业采取高压态势和监管态度，对境内虚拟货币洗钱犯罪的现状进行研究，提炼虚拟货币洗钱犯罪的手法和交易特征，构建虚拟货币洗钱犯罪的风险识别模型，实现对虚拟货币洗钱犯罪的事前预警和预防，是我国当前迫切需要研究和解决的重要课题。基于此，本文综合金融学、数据分析、人工智能等多学科知识，研究与虚拟货币相关的风险识别方法，从实战维度提供了一个全新的虚拟货币洗钱犯罪风险识别视角。首先通过对虚拟货币洗钱犯罪情况的研究，提炼出虚拟货币洗钱犯罪的手法和交易特征，然后利用研究分析法、实例验证法，从文献研究、模型研究和案例分析三个方面展开研究，实现虚拟货币洗钱犯罪风险识别模型的构建，同时通过虚拟货币洗钱犯罪风险识别与防范机制的研究，为完善虚拟货币洗钱犯罪提供建议，同时完善虚拟货币洗钱犯罪事前预警防范理论体系建设，维护我国金融交易秩序的平稳和国家金融安全具有十分重要的意义。

In recent years, with the continuous development of encryption technologies such as blockchain, various types of virtual currencies have emerged one after another, and virtual currency transactions have formed a huge global trading market. Virtual currency transactions have unique characteristics such as online anonymous transactions, decentralization, and border less ness. The money laundering activities of illegal elements using virtual currency to transfer illegal gains and conceal the source of funds continue to rise, posing a series of new challenges to regulatory agencies and anti money laundering departments in various countries. Based on the current high-pressure situation and regulatory attitude towards the virtual currency industry in China, research is conducted on the current situation of domestic virtual currency money laundering crimes. The methods and transaction characteristics of virtual currency money laundering crimes are extracted, and a risk identification model for virtual currency money laundering crimes is constructed to achieve pre warning and prevention of virtual currency money laundering crimes. This is an important issue that urgently needs to be studied and solved in China.Based on this, this article integrates knowledge from multiple disciplines such as finance, data analysis, and artificial intelligence to study risk identification methods related to virtual currencies, providing a new perspective on risk identification of virtual currency money laundering crimes from a practical perspective. Firstly, by studying the situation of virtual currency money laundering crimes, the techniques and transaction characteristics of virtual currency money laundering crimes are extracted. Then, using research and analysis methods and case verification methods, a risk identification model for virtual currency money laundering crimes is constructed from three aspects: literature research and case analysis. At the same time, by studying the risk identification and prevention mechanism of virtual currency money laundering crimes, suggestions are provided to improve the virtual currency money laundering crimes. At the same time, improving the theoretical system of pre warning and prevention of virtual currency money laundering crimes is of great significance to maintain the stability of China‘s financial transaction order and national financial security.