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In order to reduce the influence of the big data access to people’s life, and brings a series of questions to reduce the data access, better protect the privacy of our users, need for anonymous big data access control. The current algorithm is used in the Purpose to establish anonymous data access model, on the basis of the original K - anonymous algorithm for the Purpose of anonymous data access model construction algorithm, the algorithm and the public information privacy about less, the safety of the distributed data privacy protection effect is not ideal. In this paper, an optimal control algorithm for anonymous large data access based on numerical analysis is proposed. The algorithm using graphs programming framework for big data anonymous user's public key and a private key is initialized, calculates the agency authorization, users of the need to save the data, and authorized to transfer to a third party, namely proxy signature, anonymous big data audit. According to the properties of anonymous data access control, the system administrator to construct a binary tree, through the symmetric encryption algorithm and the path to the key attribute group, group of key encryption, produce the header information, according to the results obtained, the administrator to generate key attribute group, update, and distribution. The experimental results show that the proposed algorithm calculation cost, storage cost and communication overhead is lower, the anonymity of the big data access control with high efficiency, strong practical, provided support to the research development of the field.