Regulation Applicability Assessment via Machine Learning

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Solution Overview

Problem

The complexity of tracking and determining applicable product regulation updates across different jurisdictions and product profiles is inefficient, leading to inconsistencies and increased costs for manufacturers, as existing methods require manual review and often lack access to up-to-date regulatory changes.

Innovation Solution

A computer-implemented method and system that dynamically assesses the impact of product regulation updates on product profiles using machine learning techniques, analyzing product profiles against stored regulation updates and presenting potentially applicable updates for user review, with feedback loops to improve accuracy and contextualization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual review methods are used to determine applicable product regulations, then accuracy of regulation identification can be maintained through expert judgment, but productivity and efficiency deteriorate due to time-consuming processes

Engineering Contradiction:

Improveaccuracy of regulation identificationVSAvoidefficiency of regulation assessment

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces manual expert review (mechanical human analysis) with an automated computer-implemented system that uses data analysis techniques, machine learning models, and natural language processing to assess regulation applicability. This substitution maintains accuracy through algorithmic consistency while dramatically improving productivity by processing multiple product profiles simultaneously without human intervention.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary automated assessment system that acts as a bridge between product profiles and regulation databases. This intermediary uses structured data analysis to match product characteristics with regulatory requirements, eliminating the need for direct manual review while preserving accuracy through validated assessment algorithms.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If comprehensive regulation tracking is implemented across all jurisdictions and product profiles, then reliability of compliance determination improves, but device complexity increases due to multiple data sources and analysis requirements

Engineering Contradiction:

Improvecompliance determination accuracyVSAvoidsystem complexity for tracking regulations

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent creates a universal automated assessment platform that handles multiple jurisdictions, product types, and regulation categories through a single integrated system. This multi-functional system uses standardized data analysis techniques and machine learning models that can be applied across diverse regulatory contexts, reducing complexity compared to separate manual review processes for each jurisdiction.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent transforms unstructured regulation texts and product profiles into structured data formats with standardized parameters and features. By converting regulatory requirements into quantifiable parameters that can be systematically analyzed, the system reduces complexity while maintaining comprehensive tracking capabilities across multiple jurisdictions.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If real-time regulation update monitoring is implemented, then adaptability to new regulations improves, but loss of time for processing and analyzing updates increases

Engineering Contradiction:

Improveresponsiveness to regulation changesVSAvoidtime to process regulation updates

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent implements continuous automated monitoring and assessment that operates without interruption when new regulations are released. The system continuously scans for regulation updates, automatically retrieves them, and immediately begins assessing applicability to relevant product profiles, eliminating the time delays associated with manual update processing while maintaining constant adaptability.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The patent performs preliminary automated analysis of regulation updates as soon as they are released, identifying potentially applicable product profiles before manual review would begin. This preliminary action prioritizes and pre-processes regulation updates, reducing the time required for comprehensive assessment by preparing analysis results in advance.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11475493B2Methods for dynamically assessing applicability of product regulation updates to product profiles

Publication Date: 2022.10.18 UL LLC

AI summary

Systems and methods for dynamically determining potentially applicability of product regulation updates to product profiles. According to certain aspects, an electronic device may access new or updated product regulation updates for various jurisdictions as well as product profiles associated with certain products. The electronic device may employ various data analysis technologies to determine which product regulation updates are potentially applicable to which product profiles. The electronic device may present information associated with the data analyses, and enable users to review information, further assess applicability, make selections, and interface and integrate with external systems to exchange information and insights.