Microphone Position Data Filtering for Redundant Update Removal
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Solution Overview
Problem
Existing microphone position data processing solutions in live streaming scenarios suffer from low efficiency, particularly due to the retention of all microphone position data and complex data processing logic in business processing modules, leading to increased processing quantities and inefficiencies when new data sources are added.
Innovation Solution
A data processing method that involves obtaining first microphone position data, calculating differences with stored data, and discarding data if no differences are found, thereby reducing redundant processing and improving efficiency by managing data sources based on business functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all microphone position data is retained for processing, then data completeness is maintained, but data processing efficiency deteriorates due to redundant processing
Solution Approach 1:
The patent applies the discarding and recovering principle by comparing current microphone position data with historical data, identifying and discarding redundant duplicate data while retaining only the necessary difference data for processing. This reduces the volume of data requiring processing while ensuring that all meaningful changes are captured and preserved for business logic operations.
2Manufacturing precision
If complex data processing logic is implemented in business processing modules, then processing accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the data processing functionality into distinct components: a data processing module that handles data collection, comparison, and difference calculation, and business processing modules that receive only the filtered difference data. This segmentation reduces the complexity of individual modules while maintaining overall processing accuracy through specialized division of labor.
3Adaptability or versatility
If new data sources are added to the system, then data coverage is improved, but processing quantity increases leading to efficiency loss
Solution Approach 1:
The patent applies universality by designing a standardized data comparison mechanism that works across multiple data sources through a unified interface. The data processing module universally handles data from any source by comparing it with historical data and extracting differences, allowing new data sources to be integrated without proportionally increasing processing complexity or quantity.
Data Source
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AI summary
A data processing method, applied to a client. The method comprises: acquiring first seat data to be processed; calculating the difference between said first seat data and stored second seat data; and when it is determined that there is no difference between said first seat data and the second seat data, discarding said first seat data. The present disclosure can improve the processing efficiency of seat data.