Feature matching method and system based on multi-source heterogeneous data of intelligent terminal

By acquiring wireless network and motion status records on smart terminals and establishing a unified time reference, environmental fingerprints and continuity parameters are generated, solving the problem of data matching instability in dynamic indoor scenes and realizing more reliable cross-terminal data matching and application.

CN121568146BActive Publication Date: 2026-03-31KAIENTAI (NANJING) TECH CO LTD
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Patent Information

Application Number
CN202610100980.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-26
Publication Date
2026-03-31
Estimated Expiration
2046-01-26

AI Technical Summary

Technical Problem

In dynamic indoor scenarios, existing technologies cannot effectively distinguish data that are similar in time and space but belong to different entities, resulting in insufficient sufficiency in matching judgments. Furthermore, asynchronous collection across terminals leads to temporal inconsistencies, which weakens the stability of matching results.

Method used

By simultaneously acquiring wireless network measurement records and motion state records on the smart terminal side, and associating time stamps with each, environmental fingerprints and continuity parameters are generated, establishing a unified time reference for cross-modal data, and combining a multi-dimensional matching judgment mechanism to enhance the sufficiency and temporal consistency of matching criteria.

Benefits of technology

It effectively reduces mismatches in dynamic indoor scenarios, improves the stability and robustness of matching results, and supports cross-terminal identity recognition, indoor navigation assistance, or multi-terminal data fusion.

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Abstract

The application provides a feature matching method and system based on multi-source heterogeneous data of intelligent terminals, and relates to the technical field of wireless communication. The method comprises the following steps: a target terminal acquires wireless network measurement records and motion state records, and respectively associates time markers; an environment fingerprint formed by at least two types of statistical quantities is generated based on the wireless network measurement records, which is used to indicate the wireless scene characteristics of the observation position; within a continuous time window, a continuity parameter is generated based on the motion state records to represent the motion continuity between records; data objects carrying time markers and associated with the environment fingerprint and the continuity parameter are combined in pairs to form candidate object pairs, and the candidate object pairs come from different modalities or different terminals; based on the environment fingerprint and the continuity parameter, a matching determination is made according to the time markers, and a target matching pair satisfying a predetermined determination rule is output; and the application can improve the accuracy and stability of cross-source data matching in a dynamic indoor scene.
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