Faced with the impact of COVID-19, there has been a trend of anti-globalization in the international community. How to build a new development pattern with China's major circulation as the main focus and China's international dual circulation promoting each other is a common concern of all sectors of society. This article presents the relationship between the development of the digital economy and the economic environment. The digital economy provides new impetus for the new "dual circulation" development pattern. This article utilizes digital technology to optimize the data collection module in a decision support system for the dual circulation direction, collecting various types of data related to the dual circulation of the digital economy, including but not limited to economic data, policy data, market data, etc. The basic function of the data mining module is to analyze the selected data table, find corresponding relationships, patterns, trends, etc., and provide decision-making basis for decision-makers. The comparison of system memory consumption under different decision task scales and experimental conditions shows that the traditional dual loop direction decision support system consumes 800MB of memory under small task decision task scales. The optimized system consumes 600MB of memory at a small task decision task scale. The decision support system in this article has powerful data processing and analysis capabilities, which can help decision-makers grasp the economic situation and formulate effective strategies.

Xiaojian Lu. Optimization of Dual Circulation Direction Support System Using Digital Technology. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 2: 43-50. https://doi.org/10.25236/FSST.2024.060207.

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