Pharmacy and food professional data sharing model construction

This study aims to develop an efficient data-sharing model to enhance the efficiency and reliability of data transmission in the fields of pharmacy and food science. A simulation-based approach was employed to evaluate the model’s sharing efficiency, transmission rate, data loss rate, and user satisfaction under various conditions of data volume, transmission time, and bandwidth. The experiment assessed the model using different data sizes and conditions. The experimental results indicated that when the data volume was 1GB, the sharing efficiency of the model reached 0.95, with a transmission rate of 200 MB/s. However, as the data volume increased, especially beyond 10GB, the sharing efficiency dropped to 0.88, the data loss rate increased to 2.0%, and user satisfaction declined to 80%. The findings suggest that in data-sharing applications within the pharmacy and food science sectors, attention must be given to the impact of data volume on system performance. Future research should focus on optimizing the model to reduce data loss rates and improve user experience, thus better addressing the needs of these industries.