In order to meet the needs of diversified terminal networks, a Web visual development platform based on microservices is proposed. According to the characteristics of network data distribution and resource attributes in the big data environment, select the service-oriented architecture as the basic data collaborative management system, establish a sample set containing various data types, calculate the density distribution of each type of data in the continuous function based on the sample set, and obtain the weight probability of the maximum and minimum density data of the data sample set by calculating the dispersion function. Finally, the weight of nodes in the visualization platform is established as the weight in the visualization matrix, and the high probability of edge subdivision is used to enhance the balance of edge development matrix. Comparative experiments show that the proposed method has strong applicability and high visualization effect for data with complex characteristics, data weight probability conforms to the expected value and Gaussian distribution, and the overall performance of the platform is excellent.
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