Design and Implementation of Data Processing Software for Internet of Things Based on Virtual Reality

Abstract

With the rapid development of the times, the application of the Internet of Things also develops rapidly, resulting in a linear increase in the data generated by the application. Nowadays, people’s needs for the forms and types of data are becoming more and more diversified, and the demand for the analysis and processing of Internet of Things data is only increasing. In order to meet the demand for data analysis of the Internet of Things, this article mainly introduces the design and implementation of the data analysis and processing software of the Internet of Things based on virtual reality. Realistic data analysis algorithms are applied to the data analysis function modules of the Internet of Things data analysis and processing software, and then the design of the data collection, data capture, and data analysis and processing functions of the Internet of Things data analysis and processing system is improved. Finally. The realization of the data analysis and processing software of the Internet of Things is carried out through different environments for and various aspects of software testing. The test results show that the realization rate of the software function is as high as 90%, and the data loss rate is reduced to 5%.

Robotic Grasp Detection Network Based on Improved Deformable Convolution and Spatial Feature Center Mechanism

“…To mitigate the limitations of complex transformer models [27][28][29][30], recent studies [31][32][33][34] have shown that good performance can still be achieved by replacing attention-based modules in transformer models with an MLP. This is because both the MLP (e.g., two fully connected layer networks) and the attention mechanism are information processing units.…”