Dynamic Command Pipelines for Multi-Source Digital Documents

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Solution Overview

Problem

Conventional methods and systems for generating electronic documents face challenges due to incompatible data formats and communication interfaces across disparate data sources, requiring time-consuming manual revisions and high computing resources, leading to inefficient data retrieval and limited storage capacity.

Innovation Solution

A modular, dynamic, and pluggable command pipeline with machine-readable instructions that can be customized and revised without modifying existing components, enabling efficient data retrieval and analysis by identifying dependencies and configuring application programming interfaces to communicate with multiple data repositories.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a static roadmap is used to indicate how and with which data sources to communicate, then the system structure is simple and easy to implement, but the system lacks adaptability when data sources change or new requirements arise

Engineering Contradiction:

Improveadaptability to data source changesVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent transforms the static roadmap into a dynamic pipeline that can be automatically generated and revised. The system now creates executable pipelines on-demand based on current data source availability and requirements, allowing the architecture to adapt without manual intervention while maintaining manageable complexity through automation.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system performs preliminary actions by pre-defining data source configurations, communication protocols, and analysis templates. When a new request arrives, these pre-configured elements are automatically assembled into a functional pipeline, enabling rapid adaptation without creating complexity from scratch.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If manual classification, verification, or revision of the roadmap is performed to update it, then the roadmap can be kept accurate, but the process becomes time-consuming and requires high computing resources

Engineering Contradiction:

Improveroadmap accuracyVSAvoidupdate speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system implements self-service by automatically generating, validating, and revising pipelines without human intervention. The automated pipeline generator analyzes current data sources, determines appropriate communication protocols, and constructs functional pipelines, ensuring both accuracy through systematic validation and high productivity through elimination of manual processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system incorporates feedback mechanisms that automatically test and validate pipeline configurations. When data sources change or new requirements arise, the system receives feedback from validation tests and automatically adjusts the pipeline configuration, maintaining reliability while enabling rapid updates through iterative automated refinement.

Inventive Principle:

Principle #23Feedback

3Reliability

If end-to-end testing is performed to ensure roadmap viability after revision, then system reliability is maintained, but computing resources and time are significantly consumed

Engineering Contradiction:

Improvesystem reliabilityVSAvoidcomputing resource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary validation and testing during the pipeline generation phase rather than requiring comprehensive end-to-end testing after revision. By validating individual components and their interfaces upfront, the system ensures reliability while minimizing the need for resource-intensive post-revision testing.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The testing approach is made dynamic and adaptive based on what has changed. Rather than performing full end-to-end testing on every revision, the system dynamically determines the scope of validation needed based on specific changes, maintaining reliability while reducing unnecessary computing resource consumption from redundant testing.

Inventive Principle:

Principle #15Dynamics

4Adaptability or versatility

If synchronous passing of binary data is used between components, then data transmission is straightforward, but on-premises storage capacity is limited and digital library expansion is restricted

Engineering Contradiction:

Improvestorage capacityVSAvoiddata transmission complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system transitions from synchronous binary data passing to asynchronous data streaming with persistent storage. By adding the time dimension and using event-driven architecture, the system can handle larger volumes of data, expand digital library capacity, and maintain manageable complexity through standardized data flow patterns and buffering mechanisms.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS20260004046A1Systems and methods for dynamic generation of digital documents

Publication Date: 2026.01.01 BANK OF MONTREAL

AI summary

Disclosed herein are methods and systems to retrieve and analyze data using customized machine-readable instructions. A method comprises identifying a set of computer-executable commands to satisfy an electronic request; identifying one or more dependencies within the set of computer-executable commands; generating a machine-readable instruction using at least a subset of the computer-executable commands in accordance with at least one dependency; and transmitting the machine-readable instruction to a second processor.