Voice-Controlled System Using String Program Code Components
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Solution Overview
Problem
Current systems for controlling technical systems using natural language face challenges due to the ambiguity of natural language and the procedural thinking of humans, which is difficult to integrate with existing object-oriented software, requiring complex solutions involving multiple experts and limited by the complexity of contextual information.
Innovation Solution
A data structure called the string program code component, which includes a definition string in natural language and a corresponding program code segment, forms a self-contained unit that can be easily integrated and expanded, allowing parameter input and return values to be managed, enabling flexible and context-aware functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If natural language is used for controlling technical systems, then ease of operation is improved, but ambiguity of natural language causes loss of information
Solution Approach 1:
The patent introduces an intermediary processing system that translates natural language input into precise control commands. This intermediary layer includes natural language processing modules that disambiguate user intent, contextual analysis components that resolve ambiguity, and command generation systems that convert processed language into exact system instructions, thereby preventing information loss while maintaining ease of operation
Solution Approach 2:
The patent replaces traditional mechanical or direct command-based control interfaces with a cognitive processing system. Instead of requiring users to learn complex command structures or precise technical terminology, the system uses natural language processing, machine learning, and contextual understanding to interpret and execute commands, substituting the mechanical command transmission with intelligent semantic processing
2Ease of operation
If natural language control is implemented, then ease of operation is improved, but device complexity increases due to need for complex processing systems
Solution Approach 1:
The patent divides the natural language processing system into distinct modular components: speech recognition modules, natural language interpretation units, contextual analysis processors, command generation systems, and execution controllers. Each module handles a specific aspect of the processing chain, allowing independent optimization, easier maintenance, and reduced overall system complexity through functional separation
Solution Approach 2:
The patent implements a universal natural language processing framework that can handle multiple types of commands, queries, and interactions through a single integrated system. This multi-functional approach consolidates what would otherwise require separate specialized systems for different control tasks, reducing device complexity while maintaining comprehensive control capabilities
3Adaptability or versatility
If procedural thinking is integrated with object-oriented software, then adaptability is improved, but difficulty of integration increases
Solution Approach 1:
The patent implements a dynamic architecture that can adapt its internal structure and processing flow based on the nature of the task. The system dynamically selects between procedural and object-oriented processing modes, creates runtime decision trees for procedural logic, and maintains flexible data structures that can represent both procedural sequences and object relationships, thereby achieving adaptability without permanent structural complexity
Data Source
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AI summary
A method for controlling a system (100) by means of natural language comprises a step of providing (S1) a plurality of character string program code components (10, 10', 10'') in the system (100). A character string program code component (10) in this case respectively comprises a definition character string (12), which comprises an expression (13) in natural language, and a program code segment (14) that is explicitly associated with the definition character string (12) and that implements a functionality associated with the expression (13) in natural language. At least one of the character string program code components from the plurality of character string program code components additionally comprises a method (16) for parameter input, as a result of which this character string program code component is set up to support a parameter input by means of which the functionality provided by the program code segment of this character string program code component can be specified.