一种多维感知系统的多源数据采集方法及系统
By calculating the consistency and similarity of environmental feature vectors in a multidimensional perception system, dividing the scene into time periods and iteratively updating the weights, the problem of inaccurate identification of abnormal data in the multidimensional perception system is solved, thus improving the accuracy and reliability of the data.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHAANXI ZHONGKE LIXING INTELLIGENT TECHNOLOGY CO LTD
- Filing Date
- 2025-12-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies in multidimensional sensing systems neglect the correlation between multiple sensing dimensions, leading to inaccurate identification of abnormal data and the accidental deletion of valid data, which affects data integrity and the system's understanding capabilities.
By calculating the single-environment consistency and perceptual similarity of the environmental feature vector, combining the initial weights to divide the scene time period, and performing clustering by iteratively updating the target sensing weights, the system finally detects and removes abnormal data based on the reference scene time period.
It improves the accuracy and reliability of data in multidimensional perception systems, ensures that key information is not lost, and enhances the system's ability to understand complex environments.
Smart Images
Figure CN121723196B_ABST