A data processing-based tourism economic cycle early warning system

By standardizing and decomposing the fluctuation characteristics of tourism economic data, a business climate index is generated and adaptively weighted and fused, which solves the problems of insufficient dynamic adaptability and accuracy of the existing system and realizes efficient early warning of tourism economic cycles.

CN122155893APending Publication Date: 2026-06-05HEXI UNIV
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HEXI UNIV
Filing Date
2026-04-09
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

The existing tourism economic cycle early warning system is insufficient in terms of dynamic adaptability and accuracy. It is difficult to effectively capture the dynamic coupling relationship between trend evolution and cyclical fluctuations in the tourism economy, resulting in delayed early warning signals and a high false alarm rate, which cannot meet the needs of forward-looking and refined management.

Method used

The data standardization module processes multi-source data, decomposes it into steady-state trend components and periodic fluctuation components, and performs adaptive weighted fusion through the intelligent threshold calibration module to generate a business climate index. Combined with the real-time early warning output module, state matching is performed to achieve multi-scale dynamic threshold calibration and periodic adaptation.

Benefits of technology

This has improved the accuracy and timeliness of the early warning system, enabling it to sensitively reflect changes in economic conditions and provide management departments with high-quality and reliable decision support, thus achieving a leap from static early warning to dynamic cyclical early warning.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122155893A_ABST
    Figure CN122155893A_ABST
Patent Text Reader

Abstract

The application relates to the field of data prediction, and relates to a tourism economic cycle early warning system based on data processing. The system comprises a data standardization module, a fluctuation characteristic decomposition module, a prosperity index synthesis module, an intelligent threshold calibration module, an early warning rule generation module and a real-time early warning output module. Multi-source real-time tourism economic data is standardized to obtain a standard data set. The standard data set is subjected to characteristic separation to obtain a steady-state trend component and a periodic fluctuation component. The steady-state trend component and the periodic fluctuation component are subjected to weighted fusion to obtain a tourism economic prosperity index. The tourism economic prosperity index is subjected to threshold calibration to obtain a graded threshold interval. The early warning mark library and the graded threshold interval are mapped and associated to obtain a cycle early warning rule. The tourism economic prosperity index and the cycle early warning rule are subjected to state matching to obtain a cycle early warning mark. The application can improve the accurate early warning efficiency of the tourism economic cycle early warning system based on data processing.
Need to check novelty before this filing date? Find Prior Art