Matrix Code Measurement Device With Embedded Format Identifier
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Solution Overview
Problem
Existing measurement sensors that display data as two-dimensional matrix codes, such as QR codes, are complex to use due to the variety of data structuration formats, requiring specific readers for different sensors and measurement types, limiting compatibility and ease of use.
Innovation Solution
Incorporating a first identifier in the structured data to exclusively identify the structuration format, allowing the measurement device to convert measurement data into structured data with XML or JSON descriptors, and using a decoding unit in the reader to retrieve the descriptor and determine the measurement data, enabling compatibility with multiple readers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple data structuration formats are used to accommodate different sensor types and measurement standards, then the measurement device can support more measurement types, but the device complexity and reader compatibility requirements increase
Solution Approach 1:
The patent introduces an intermediary component: a format identifier embedded within the matrix code data structure. This identifier acts as a mediator that enables readers to automatically determine which structuration format is being used without requiring multiple specialized readers. The identifier serves as a bridge between diverse measurement formats and the reader's processing capabilities, allowing a single reader to handle multiple measurement types by dynamically adapting to the identified format.
Solution Approach 2:
The patent implements universality by designing a unified matrix code structure that can accommodate multiple data structuration formats through the use of format identifiers. Instead of creating separate systems for different measurement types, the invention enables a single reader system to perform multiple functions by identifying and adapting to various formats (such as F1, F2, F3 mentioned in the patent). This multi-functional approach allows one reader to handle diverse sensor types and measurement standards without requiring format-specific hardware variants.
2Measurement precision
If specific readers are designed for different sensor types and measurement standards, then data extraction accuracy is improved, but the ease of operation and user convenience deteriorate
Solution Approach 1:
The patent applies the self-service principle by enabling the data extraction system to automatically identify and adapt to the appropriate structuration format without requiring user intervention. The format identifier within the matrix code allows the reader to autonomously determine how to parse and interpret the data, eliminating the need for users to manually configure or select readers based on sensor type. This self-identifying mechanism maintains measurement precision while significantly improving ease of operation.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting the data interpretation parameters based on the identified format. Rather than requiring fixed, format-specific readers, the system changes its processing parameters (parsing rules, data structures, extraction methods) according to the format identifier detected in each matrix code. This dynamic parameter adaptation allows accurate data extraction across different formats while presenting a uniform, simple interface to the user.
3Adaptability or versatility
If diverse structuration formats are implemented for different measurement standards, then the adaptability to various sensors is improved, but the device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the data transmission structure into distinct components: a format identifier segment and the actual measurement data segment. This segmentation allows the system to handle diverse measurement formats by first identifying the format type through the identifier, then processing the corresponding data portion according to the identified format's rules. This modular approach manages complexity by breaking down the diverse format handling into manageable, identifiable segments rather than requiring monolithic format-specific processing.
Solution Approach 2:
The patent implements dynamics by creating a flexible, adaptive data structure that can dynamically adjust to different formats based on the identifier present in each matrix code. Rather than using static, format-dedicated structures, the system dynamically configures its data processing approach according to the identified format type. This dynamic adaptability allows the system to support multiple sensors and measurement standards while managing complexity through runtime flexibility rather than compile-time or hardware-level specialization.
Data Source
AI summary
This electronic device is suitable for measuring a quantity.This measurement device comprises:a unit for measuring the quantity, able to deliver measurement data,an encoding unit, able to convert measurement data into structured data according to a structuration format, the data structured according to the structuration format including at least one portion of the measurement data,a unit for generating at least one two-dimensional matrix code are from the structured data, anda display unit, able to display each generated matrix code.The structured data further comprise a first identifier of the structuration format, said first identifier being able to identify in a unique way the structuration format.