Dynamic Page Modeling With Geolocation-Based Task Chaining
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Solution Overview
Problem
Conventional platforms require multiple user commands across multiple interfaces to complete a task, leading to inefficiencies and the need for manual reconciliation of discrepancies.
Innovation Solution
A dynamic modeler that generates a single shared event and dynamic cascading filters, using contextual data to auto-generate tasks and maintain a task chain contract in a distributed ledger, enabling seamless interaction across IoT and non-IoT resources without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple user commands across multiple interfaces are used to complete a task, then task completion is achieved, but operational efficiency deteriorates and manual reconciliation of discrepancies is required
Solution Approach 1:
The patent merges multiple separate user interfaces and commands into a single unified interface that processes all task-related operations simultaneously. The system consolidates distributed commands across different interfaces into one integrated command structure, eliminating the need for users to navigate multiple interfaces and reducing manual reconciliation requirements.
Solution Approach 2:
The unified interface is designed to handle multiple functions and task types through a single command structure. It provides universal access to various operations (task creation, modification, deletion, and reconciliation) that were previously scattered across different specialized interfaces, thereby improving operational efficiency while maintaining ease of use.
2Reliability
If manual reconciliation of discrepancies is performed, then accuracy is maintained, but time consumption increases
Solution Approach 1:
The system implements self-service automation where the unified interface automatically detects, flags, and reconciles discrepancies without requiring manual intervention. The system performs self-validation checks on task data, automatically resolving conflicts and ensuring data integrity, thereby maintaining high reliability while eliminating time-consuming manual reconciliation processes.
Solution Approach 2:
The system incorporates automated feedback mechanisms that continuously monitor task data for discrepancies. When inconsistencies are detected, the system provides immediate feedback and automatically initiates reconciliation procedures, ensuring accuracy is maintained through continuous automated verification rather than periodic manual checks.
3Productivity
If a single unified interface is implemented, then operational efficiency improves, but system complexity increases
Solution Approach 1:
The unified interface is segmented into distinct functional modules, each handling specific operations (task management, data validation, discrepancy detection, reconciliation). This modular segmentation allows the complex functionality to be organized into manageable, independent components that can be developed, maintained, and scaled separately, reducing the perceived complexity while maintaining high productivity.
Solution Approach 2:
The system introduces an intermediary layer (the unified interface itself) that mediates between user commands and the underlying complex task management system. This intermediary abstracts and simplifies complex operations into user-friendly commands, shielding users from the underlying system complexity while enabling efficient task execution.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for dynamically modeling a page using dynamic data. One of the methods includes obtaining, from a user device associated with a first resource, a dynamic final event comprising data representing a transaction; generating, using the data representing the transaction, a task chain for a plurality of tasks, wherein generating the task chain comprises: executing a geolocation task to determine a respective geolocation of one or more resources; and determining, using the respective geolocation of the one or more resources, one or more parameters for executing each task, comprising assigning a particular resource of the dynamic modeling to a particular task according to the geolocation of the particular resource; and for each task of the plurality of tasks, executing the task according to the determined parameters of the task.


