Structured Data Conversion System for Sensor Standards

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Solution Overview

Problem

Complexity of information standards like SENSRB hinders seamless data sharing between projects and organizations, leading to significant ramp-up time for integration and utilization.

Innovation Solution

A structured data conversion system with a graphical user interface and external standard definition and rules files simplifies data conversion by providing an intuitive interface and automated documentation, allowing users to define and convert data according to specific standards without requiring extensive software development.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If complex information standards like SENSRB are implemented, then data sharing capability is improved, but implementation time and complexity increase significantly

Engineering Contradiction:
Improvedata sharing capabilityVSAvoidramp-up time for integration
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent introduces an intermediary software system that acts as a mediator between different data standards and formats. This intermediary layer automatically translates and converts data between various standards, eliminating the need for direct manual integration between systems and significantly reducing the ramp-up time for implementing data sharing capabilities.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary actions by pre-configuring standard definition files and conversion rules before data sharing is needed. These pre-prepared templates and automated conversion frameworks are in place beforehand, allowing rapid deployment and minimal training time when actual data sharing operations are required.

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If comprehensive standard conversion functionality is provided, then data compatibility is improved, but software complexity increases

Engineering Contradiction:
Improvedata compatibilityVSAvoidsoftware development complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the complex data conversion functionality into modular components: separate standard definition files, conversion rules, and processing modules. Each module handles specific data types or standards independently, making the overall system more manageable and easier to develop while maintaining comprehensive compatibility across multiple data formats.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Instead of writing custom conversion code for each data standard, the system uses template-based copying where pre-defined standard definition files serve as blueprints. The system copies and adapts these templates rather than creating everything from scratch, reducing software development complexity while maintaining broad data compatibility.

Inventive Principle:
Principle #26Copying

3Measurement precision

If automated data conversion is implemented, then conversion accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvedata conversion accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent incorporates feedback mechanisms that automatically validate converted data against predefined standards and rules. The system checks conversion results for accuracy and consistency, providing feedback loops that ensure high conversion accuracy while the automation of these checks reduces manual intervention and overall system complexity.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The data conversion system performs self-service through automated validation and error detection. The system independently verifies its own conversion accuracy using built-in rules and standards, eliminating the need for complex manual verification processes and reducing overall system complexity while maintaining high accuracy.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS8756259B1Structured data conversion system
Publication Date: 2014.06.17 U S A AS REPRESENTED BY THE DEPT OF THE NAVY
  • US8756259B1 patent drawing
  • US8756259B1 patent drawing
  • US8756259B1 patent drawing

AI summary

Embodiments of the invention relate to converting infrared, radar, and photographic sensor data using an apparatus having a graphical user interface, a user-selection device, and an electronic processor configured to convert sensor data and output the converted sensor data. An infrared, radar, and photographic sensor data conversion computer program (abbreviated “computer program”) is associated with the electronic processor. A sensor standard definition file is consistent with a sensor standard (abbreviated “the standard”) and is configured for input to the computer program. The sensor standard definition file is a programmable external file defining specifics (elements used to communicate sensor data in the computer program) of the standard. The sensor standard definition file is editable and extendable to support changes in the standard. A sensor standard rules file, sensor external standard file, and sensor external data file are consistent with the standard and are operatively associated with the computer program.