A management method and system for scenic spot multi-source heterogeneous data

By combining DS evidence theory and closed-loop feedback control, the quality of multi-source data in scenic areas is dynamically evaluated and conflicts are quantified. This solves the problems of the inability to dynamically quantify data source quality and the lack of adaptability in fusion strategies in existing technologies, and achieves efficient and reliable fusion of multi-source heterogeneous data to support scenic area management decisions.

CN122432998APending Publication Date: 2026-07-21CHENGDU HEXIN XIECHUANG TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
CHENGDU HEXIN XIECHUANG TECHNOLOGY CO LTD
Filing Date
2026-04-28
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing multi-source heterogeneous data management solutions for scenic areas lack quantitative assessment of dynamic changes in data source quality, cannot adaptively handle conflicts, and lack closed-loop feedback in fusion strategies, resulting in inaccurate and unreliable fusion results.

Method used

Combining DS evidence theory, dynamic quality assessment, and closed-loop feedback control, the fusion strategy is dynamically adjusted by calculating the accuracy, real-time performance, coverage, and stability indicators of the data source in real time. The conflict level is quantified using Jousselme distance, and the fusion results are optimized through multi-source cross-validation and physical constraint verification.

Benefits of technology

It achieves reliable, adaptive, and iterative fusion of multi-source heterogeneous data, outputting accurate and reliable fusion results to support scenic area management decisions.

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Abstract

The application provides a kind of management method and system for scenic spot multi-source heterogeneous data, belong to data management technical field;The application obtains comprehensive credibility by real-time calculation of the accuracy, real-time performance, coverage and stability index of each data source, weighted fusion;The measured value is converted into the basic probability assignment of evidence theory, and the comprehensive credibility is used for discount correction;The Jousselme distance between evidences is calculated as the conflict degree, and the fusion is carried out by using Dempster combination rule, credibility weighted average and deep conflict resolution according to low, medium and high levels;The fusion result is verified by multi-source cross, time sequence consistency and physical constraint, and the quality evaluation parameter, conflict threshold and fusion strategy are dynamically adjusted according to the deviation to form a closed loop feedback;The application significantly improves the accuracy, robustness and adaptive ability of multi-source heterogeneous data fusion, and is suitable for scenic spot passenger flow statistics, congestion warning and other scenes.
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