Endpoint Parameter Management for Audio Mixers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Audio mixers and multi-channel data acquisition systems face complexity and performance issues due to the need to manage a large number of configurable parameters across various device types, requiring complex software codes that deteriorate processing speed and necessitate frequent code changes for different product models.
Innovation Solution
A multi-channel command and data processing device implements a novel endpoint parameter management architecture, converting configuration parameters into a common generic data structure compatible with diverse endpoint types, allowing for efficient processing and management without recompiling software codes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex software codes are used to manage a large number of configurable parameters across various device types, then the ability to handle diverse audio device types is improved, but the processing speed and performance of the audio mixers significantly deteriorate
Solution Approach 1:
The patent changes the parameter representation from device-specific configurations to a unified generic data structure with standardized parameter names and formats. This parameter transformation allows the system to handle diverse audio device types through a consistent parameter framework, reducing software complexity while maintaining versatility and improving processing speed.
Solution Approach 2:
The patent implements a universal generic data structure that can represent parameters from multiple different audio device types (microphones, speakers, audio lines, etc.) through a single standardized interface. This multi-functional approach eliminates the need for separate handling code for each device type, thereby improving processing efficiency while maintaining adaptability.
2Adaptability or versatility
If software code is changed and recompiled for each product model or SKU, then the compatibility with different device types is improved, but the burden of managing a code library increases significantly
Solution Approach 1:
The patent creates a universal software architecture based on a generic data structure that can accommodate multiple device types and product models through a single codebase. The standardized parameter framework allows the same software to handle different SKUs without requiring model-specific compilation, thereby reducing code management complexity while maintaining broad compatibility.
Solution Approach 2:
The patent uses configuration files or data templates that can be copied and loaded into the generic data structure for different device types. Instead of recompiling software for each model, the system copies pre-defined parameter configurations from template files, significantly reducing the code management burden while maintaining adaptability to different product SKUs.
3Adaptability or versatility
If the number of device types and parameters changes for different product models, then the system adaptability is improved, but the processing complexity and code requirements increase
Solution Approach 1:
The patent standardizes parameter representations across different product models by transforming device-specific parameters into a unified generic data structure. This parameter normalization process maintains system adaptability to different models while significantly reducing software code complexity, as the same standardized framework handles all parameter types without requiring model-specific handling logic.
Data Source
AI summary
This disclosure describes a system that implements a multi-channel command and data processing device for multichannel data processing and transmission systems that are designed to connect to different types of data sources and sinks and describes a device configured to implement a novel endpoint parameter management architecture for generic devices. The system uses a multi-channel command and data processing device with one or more inputs and one or more outputs, with a processor and a memory, in communication with a data storage that manages endpoint parameters of one or more input devices and one or more output devices. The system further includes a data terminal and a plurality of endpoints.