Technology Maturity Judgment System Based on Science and Technology Data
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Solution Overview
Problem
Current technology maturity evaluation methods, such as expert review, patent analysis, and Technology Readiness Levels (TRL), are subjective and lack objectivity, making them ineffective for accurately assessing technology maturity due to reliance on expert judgment and manual data analysis.
Innovation Solution
A technology maturity judgment method and system based on science and technology data, utilizing a multi-dimensional database, algorithm library, and index library for comprehensive analysis through data retrieval, calculation, and regression analysis to objectively determine technology maturity stages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If expert review method is used for technology maturity evaluation, then expert knowledge and experience can be utilized, but subjectivity and lack of standardization increase
Solution Approach 1:
The patent replaces the manual expert review process with an automated computer-based system that retrieves patent data, performs statistical analysis, and generates maturity evaluations automatically. This substitution eliminates subjective human judgment while maintaining evaluation capability through objective data-driven algorithms.
Solution Approach 2:
The system enables self-service evaluation by automatically collecting patent data, performing analysis, and generating results without requiring expert intervention. The automated workflow includes data retrieval, statistical computation, and report generation that operates independently of human operators.
2Measurement precision
If patent analysis method based on TRIZ theory is used, then technology life cycle can be identified, but workload and subjectivity in judging patent innovation degree increase
Solution Approach 1:
The patent replaces manual patent analysis with automated computational methods that retrieve patent data and perform statistical analysis. The system automatically identifies technology life cycle stages through data-driven patterns rather than expert judgment, significantly reducing workload while maintaining accuracy.
Solution Approach 2:
The patent introduces patent data as an intermediary object that mediates between the evaluation system and the technology maturity assessment. By analyzing patent statistics and trends, the system objectively determines technology life cycle stages without requiring direct expert interpretation of individual patents.
3Measurement precision
If Technology Readiness Levels (TRL) method is used, then comprehensive technology assessment can be performed, but expert on-site investigation requirements increase workload and subjectivity
Solution Approach 1:
The patent replaces complex expert on-site investigations with automated data retrieval and analysis systems. The system comprehensively assesses technology maturity by automatically collecting and analyzing patent data, eliminating the need for manual field research while maintaining comprehensive evaluation capability.
Solution Approach 2:
The patent creates a universal evaluation system that handles multiple technology domains through a single automated platform. The system performs comprehensive assessments across different technologies by retrieving and analyzing relevant patent data, eliminating the need for domain-specific expert investigations.
4Measurement precision
If manual data analysis is used in technology maturity evaluation, then detailed examination can be performed, but workload and time consumption increase
Solution Approach 1:
The patent replaces manual data analysis with automated computational processing that retrieves patent data, performs statistical analysis, and generates evaluations instantly. The system maintains detailed examination capability through comprehensive data processing while reducing evaluation time from days to minutes.
Solution Approach 2:
The patent implements continuous automated data processing that constantly retrieves, analyzes, and updates technology maturity evaluations. The system performs uninterrupted statistical analysis on patent data, providing continuous evaluation results without the intermittent manual analysis process.
Data Source
AI summary
A technology maturity judgment method based on science and technology data comprises establishing a database, an algorithm library, and an index library, and further comprises: performing a data retrieval in the database; performing a data calculation and organization on a retrieval result; performing a regression calculation on organized data to obtain a technical maturity index; and obtaining a judgment conclusion according to the technical maturity index. The technology maturity judgment method is mainly based on a patent analysis method, which assisted by technical data analysis of papers and projects. Technical points are placed in a technology cluster associated with the technology to perform a comprehensive analysis by multi-dimensional evaluation indexes and algorithm. Mapping between science and technology data indexes and technology maturity is established and automatic judgment is achieved. The method does not need a large amount of artificial subjective work.