一种数字电视测试系统
By combining segmented weighted initialization, fuzzy clustering, and convolutional neural networks, the digital television testing system achieves personalization and dynamic optimization, solving the problem of insufficient user adaptability in traditional testing systems and improving testing efficiency and user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TONGLU HUASHU DIGITAL TV CO LTD
- Filing Date
- 2025-07-15
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional digital television testing systems lack adaptability to different user scenarios, and the test scheme design is not strongly correlated with user behavior, resulting in unreasonable allocation of test resources, low system testing efficiency, and difficulty in meeting the needs of intelligent development.
The test configuration employs a segmented weighted initialization algorithm, a fuzzy clustering user classification method, and a test scheme identification mechanism based on a convolutional neural network. Combined with a feedback-driven dynamic update strategy, the test configuration is personalized and dynamically optimized through a data collection module, a user classification module, and a feedback update module.
It improved the personalization and resource utilization efficiency of the test plan, enhanced the intelligence and adaptability of the digital television test system, and improved test efficiency and user satisfaction.
Smart Images
Figure CN120475141B_ABST