Statistical Analysis of Cloud Data for Industry Design Based on Internet
Jing Guang-cha · Packaging Engineering · 2014
Objective To study the development status and future trend of cloud innovation for industry design.Methods As key indicators for cloud innovation,the interaction number and interaction frequency between general designers and design themes are hypothesized to be ascending.Based on the theory of hyper-graph and incidence matrix in hyper-network model,quantitative characterization functions are formulated as statistics for the development of cloud innovation.Based on the ideology of data mining,the data is captured from one of the virtual design communities on the internet through the tool of web crawler,and stored in a relational database as structuring data.Computer programming languages such as SQL are used to process the structuring data and calculate the statistics.XY scatter plot for characterization function and year is drawn,and correlation analysis between characterization function and year is carried out to verify the hypotheses.Conclusion It pointed out the development advantages and disadvantages of cloud innovation for in recent years,and an open industry design cloud network platform was put forward.