Text-Based Data Conversion for Technical System Diagnostics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current diagnostic methods for technical systems, such as rotating equipment, are time and cost-intensive due to the complexity of analyzing large volumes of textual and numerical data, and often require advanced knowledge of programming or mathematics.
Innovation Solution
A computer device that converts numerical and logical data from technical systems into text-based data, allowing users to formulate and compare text-based queries to detect predefined events and correlations, thereby simplifying the analysis and reducing the need for advanced technical knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If numerical data and logical data are processed using conventional numerical or logical methods, then measurement precision and reliability are improved, but device complexity and difficulty of operation increase due to requiring advanced programming or mathematical knowledge
Solution Approach 1:
The patent introduces text-based data as an intermediary layer between numerical data and user queries. The processing unit converts numerical sensor data and logical data into text-based representations, allowing users to formulate natural language queries without needing programming or mathematical expertise. This intermediary transformation maintains diagnostic accuracy while dramatically improving ease of operation.
Solution Approach 2:
The patent changes the parameter of data representation from numerical/format-specific to text-based/uniform. By converting all input data (numerical sensor readings and logical events) into a unified text-based format, the system allows users to query using natural language text queries, eliminating the need for users to understand numerical data structures or programming languages while preserving the ability to perform complex diagnostic analysis.
2Measurement precision
If comprehensive analysis of large volumes of data is performed, then measurement precision is improved, but loss of time increases due to time and cost expensive processing
Solution Approach 1:
The selection unit extracts and selects only the most relevant subset of numerical data based on logical dependencies before conversion and analysis. Instead of processing all available sensor data uniformly, the system identifies and extracts data points that are logically connected to the diagnostic query, reducing the volume of data requiring conversion and analysis while maintaining diagnostic accuracy.
Solution Approach 2:
The system performs preliminary conversion of numerical data to text-based data and preliminary selection of relevant data subsets before the actual diagnostic query processing. This preliminary action prepares the data in advance, so when a diagnostic query is executed, the system can quickly compare text queries against pre-converted text-based data, significantly reducing the time required for comprehensive analysis.
3Ease of operation
If text-based conversion and comparison is implemented, then ease of operation is improved, but device complexity increases due to additional conversion and comparison units
Solution Approach 1:
The processing unit performs multiple functions: it converts numerical data to text-based data, detects events in the text-based data, and prepares data for comparison with text queries. By making the processing unit multi-functional, the patent reduces the need for separate dedicated components for each function, thereby improving ease of operation while limiting the increase in device complexity.
Solution Approach 2:
The patent combines the selection unit, processing unit, and comparison unit into an integrated diagnostic system. The selection unit identifies relevant data, the processing unit converts and detects events, and the comparison unit matches queries against detected events - all within a unified architecture. This merging approach improves ease of operation by providing a seamless text-based interface while consolidating complexity into a coordinated system rather than separate complex components.
Data Source
AI summary
The computer device (10) comprises a receiving unit (1) for receiving numerical data (11) and logical data (12) from the technical system (100), a selection unit (2) for selecting a subset (13) of the numerical data (11), a processing unit (3) for processing the subset of the numerical data (11) and the logical data (12) by converting the subset of the numerical data (11) and the logical data (12) into text-based data and by detecting predefined events in the text-based data, a comparison unit (4) for comparing the detected events with predefined queries, wherein the predefined queries describe correlations between detected events, to provide a comparison result, and a signaling unit (5) for outputting a signal (13) based on the provided comparison result. By converting numerical data and logical data into text-based data, correlations within the data can be easily detected based on predefined queries, which are also in text-based form. Further, a technical system comprising such a computer device and a corresponding method are provided.