This paper updates financial accounting information data processing and sharing with the help of cloud computing technology, improves the informatization level of financial accounting management, and establishes a financial accounting intelligent system. Considering the richness and complexity of financial accounting information data, in order to reduce the system energy consumption generated in cloud computing task scheduling, task time adaptation function and equipment energy consumption adaptation function are constructed respectively, and an ant colony algorithm with time constraints is proposed to solve the problem. In order to evaluate the performance of the EACO algorithm in this paper, it is assumed that three different specifications of physical machines are used in each data center to construct the cloud simulation environment, and the execution energy consumption of the algorithm is explored under different numbers of workflow instances, data center resource utilization, and workflow task output data volume. Test the query success rate and average response latency of the financial accounting intelligent system. Under different sizes of workflow task output data volume, the energy consumption of algorithms is ranked as HEFT algorithm > MIHEFT algorithm > NOSF algorithm > EACO algorithm. The maximum energy consumption of EACO algorithm is 2.78E7J, and the EACO algorithm can effectively reduce the energy consumption caused by data transmission. The financial accounting intelligent system built by cloud computing technology has a query success rate of more than 95% and an average query response delay of less than 0.3s, which is able to quickly provide systematic and specialized services for financial accountants.
