Workflow Tag Parsing for Automatic Stage Association

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Solution Overview

Problem

Conventional workflow management systems require users to manually search and analyze multiple stages to identify relevant tasks, consume significant computing resources, and are prone to errors due to the need for precise syntax entry, leading to inefficiencies and delays.

Innovation Solution

A collaborative work platform that utilizes a graphical user interface (GUI) with an actionable component to allow users to input user-defined tags in natural language, which are parsed to identify and automatically associate with relevant workflow stages, using natural language processing to determine the destination and required actions, reducing manual searching and syntax errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users manually search and analyze multiple stages to identify relevant tasks, then workflow management is performed, but computing resources are consumed significantly and time is wasted

Engineering Contradiction:

Improveworkflow management efficiencyVSAvoidtime for manual searching

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system automatically performs workflow stage association by parsing user-defined tags and matching them with relevant stages, eliminating the need for users to manually search and analyze multiple stages. The automated parsing and matching process consumes minimal computing resources while maintaining high workflow management efficiency.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of searching and analyzing stages is replaced by an automated system that uses natural language processing to parse tags and determine relevant stages. This substitution eliminates time-consuming manual operations while maintaining accurate workflow management.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If users manually search and analyze multiple stages, then relevant tasks can be identified, but computing resources are consumed significantly

Engineering Contradiction:

Improveworkflow management efficiencyVSAvoidcomputing resources consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If users enter precise syntax to associate stages, then accurate stage association is achieved, but errors occur due to the need for precise syntax entry

Engineering Contradiction:

Improvestage association accuracyVSAvoiderror rate in syntax entry

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The system changes the input parameter from precise syntax to natural language tags. Users can associate stages using intuitive natural language descriptions rather than requiring precise syntactic correctness, thereby maintaining high association accuracy while reducing errors.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Productivity

If conventional workflow management systems are used, then workflows can be managed, but they are prone to errors and delays

Engineering Contradiction:

Improveworkflow completion speedVSAvoiderror rate in workflow management

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250363457A1Workflow management

Publication Date: 2025.11.27 HONEYWELL INTERNATIONAL INC

AI summary

Techniques for managing workflow are disclosed. A tag creation signal is received upon interaction with an actionable component of a collaborative work platform having a workflow that includes a plurality of stages, each having a stage descriptor linked therewith. The tag creation signal indicates a request to define a tag for being linked with one of the stages. Acquisition of user-defined tag content is then initiated for being associated with the tag. The tag content is then parsed to derive a tag descriptor. Further, a correlation is determined between the tag descriptor and the stage descriptor linked with each of the plurality of correlated stages. A stage correlating with the tag descriptor is then identified and the tag content is associated with the identified stage. Further, upon initialization of the identified stage, an alert generation signal is generated to indicate the user-defined tag content associated with the identified stage.