Research on Perceptual Integrity of Distributed Digital Media Based on AWTC-TT Algorithm Optimization

Digital media can spread data and information. Its wide use not only enriches people's work and life but also brings high efficiency and convenience. However, due to different devices, different data quality, network stability, and other reasons, data quality is usually difficult to guarantee, so it is necessary to evaluate its perceptual integrity. In this paper, the group intelligence sensing technology in the sensor field and AWTC-TT optimization algorithm integrating blockchain technology are proposed to collect users' sensing data and build a model to discuss the complete performance. The experimental results show that (1) for the AWTC-TT algorithm, the processing time of 200 data tasks is less than 60 s; moreover, after optimization, the performance is efficient, which can effectively reduce the running time of data processing, and the performance loss is only 4%. (2) The perceptual quality of data was evaluated, the gain value of the first 0.4 is above 0.3, and the interference of abnormal data on integrity was explored. (3) The test results of the four integrality indexes of the model are good and the quality is stable. (4) The income value of CS2 is 5.8, and the income of distribution with the highest quality is the highest. Finally, the model constructed in this paper is mature, the experimental data and results are good, and the data perception integrity is discussed. The use of various fusion technologies can provide a reference for more subsequent research and application and lay a solid foundation.