隐私计算技术是一种保护数据隐私的方法，具有安全、高效、共享的特点，但在数据处理过程中不可避免地产生了数据缺乏信任、训练缺乏激励的问题，阻碍了隐私计算的广泛应用。区块链技术作为一种分布式账本技术，具有去中心化、透明、防篡改等优势功能，可以帮助解决隐私计算限制发展的问题，同时隐私计算可以增强链上数据的隐私保护。因此，近年来区块链与隐私计算融合技术被广泛研究。首先介绍区块链和隐私计算的基本原理，然后结合实际案例阐述基于区块链的隐私计算技术，重点分析基于隐私计算的区块链共识融合和智能合约融合两个方向以及案例应用。最后总结区块链与隐私计算融合可能面临的挑战和需要改进的关键技术。

Privacy computing technology is a method to protect data privacy, which is characterized by security, efficiency, and sharing, but it inevitably brings the problems of lack of trust in data and lack of incentives for training in the process of data processing, which hinders the wide application of privacy computing. Blockchain technology, as a distributed ledger technology with advantageous features such as decentralization, transparency, and tamper-proof, can help solve the problem of privacy computing limiting the development, while privacy computing can enhance the privacy protection of data on the chain. Therefore, blockchain and privacy computing fusion technology has been widely studied in recent years. Firstly, the basic principles of blockchain and privacy computing were introduced, and then the privacy computing technology was elaborated based on blockchain. In addition, the two directions of blockchain consensus fusion and smart contract fusion based on privacy computing were analyzed in detail. Finally, the possible challenges and key technologies that need to be improved were summarized for the fusion of blockchain and privacy computing.