Visualization system based on big data
A big data and big data storage technology, applied in the field of visualization system based on big data, can solve the problems of great influence, conclusions that are empirical or intuitive, time-consuming and labor-intensive, etc.
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Embodiment 1
[0045] see Figure 1 to Figure 2 , a big data-based visualization system; includes:
[0046] Big data capture unit: create data capture, filter, and storage for existing public communities;
[0047] Big data storage unit: classify and store the data obtained by the big data capture unit;
[0048] The big data capture unit is connected with the big data storage unit to classify and store the captured data;
[0049] The research and analysis module, connected to the big data storage unit, is used to obtain and process the original data of the research results, form attribute data, and perform data analysis;
[0050] Personnel management module, connected to the research and analysis module, used to manage personnel information;
[0051] The visual interaction module, connected with the research and analysis module, is used to generate visual interaction scenarios based on the five scenarios of "people", "text", "land", "production" and "scenery";
[0052] The big data storag...
Embodiment 2
[0116] see image 3 The difference between Embodiment 2 and Embodiment 1 is that the visual interaction module further includes a visual interaction scene based on architectural information and cultural information, a visual interaction scene based on the post-evaluation mechanism of community residents, and a 3D GIS visualization model. The main purpose of visual interaction scenes based on architectural information and cultural information is to actively display local religious buildings, residential buildings, public buildings, environmental art sketches, as well as architectural decorative components and decorative elements with cultural traditional elements and regional characteristics. The visual data model formed by analysis includes three-dimensional scenes of architectural scenes and images and videos of traditional elements. Based on this model, the advantages of the community are displayed to improve the willingness of residents to participate, which is conducive to ...
Embodiment 3
[0118] see Figure 4 The difference between Example 3 and Example 1 is that the big data visualization system also includes an evaluation module for community building project needs evaluation, process evaluation and effect evaluation; the research and analysis module is classified according to the evaluation data to form evaluation results; visualization The interaction module is also used to display the evaluation results in a visual interaction scenario. Its purpose is to obtain public opinion in a timely manner based on the progress of the project and the feedback of the community residents, and to change the strategy in a timely manner based on the public opinion in the progress of the project, and to continuously improve the integrity of the project. The difference between it and the post-evaluation mechanism of community residents in Example 2 is , the post-evaluation mechanism of community residents is based on the feedback mechanism after the project is completed, whi...
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