Parallel Task Handling via Network Configured Segmentation
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Solution Overview
Problem
Current systems, such as 3GPP LTE, face challenges in efficiently handling multiple tasks related to different user identities in parallel, which limits the cost-effectiveness and utilization of robots in serving multiple customers simultaneously, leading to increased waiting times and resource requirements.
Innovation Solution
A method and apparatus that enable multiple tasks to be performed in parallel by receiving configurations from a network, determining allowed task types, and managing inputs from different user identities, allowing tasks of the same type to be initiated while rejecting tasks of different types, thereby optimizing robot utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a robot handles multiple tasks from multiple customers simultaneously, then robot utilization and cost-effectiveness improve, but task management complexity and system resource requirements increase
Solution Approach 1:
The patent segments tasks by type (e.g., task type A, task type B) and allows parallel execution of tasks of the same type while maintaining sequential processing for different task types. This segmentation enables the robot to handle multiple customers simultaneously for compatible tasks while managing complexity through structured categorization.
Solution Approach 2:
The patent implements dynamic task management where the robot can transition between single-task and multi-task modes based on configuration parameters. The system dynamically adjusts which task types can be executed in parallel, allowing flexible adaptation to different operational scenarios and customer requirements.
2Loss of time
If tasks of different types are processed in parallel, then waiting time for customers decreases, but system reliability and task completion accuracy deteriorate
Solution Approach 1:
Tasks are segmented into different types with specific processing rules. Tasks of the same type can be processed in parallel without compromising reliability, while tasks of different types are processed sequentially or with proper coordination to maintain accuracy.
Solution Approach 2:
The system changes the parameter of task processing mode based on task type configuration. By defining which task types can be processed in parallel and which require sequential processing, the system optimizes both waiting time and reliability according to the specific parameters of each task type.
3Reliability
If multiple robots are deployed to handle different customer requests, then service coverage and reliability improve, but operational costs and resource requirements increase
Solution Approach 1:
The patent enables a single robot to perform multiple task types through configurable parallel processing capabilities. By allowing the robot to handle different task types (with appropriate parallelization rules), the system reduces the need for multiple specialized robots while maintaining comprehensive service coverage.
Solution Approach 2:
The patent creates a controlled operational environment with defined task type categories and parallel processing rules. This structured 'inert' framework allows the robot to safely handle multiple tasks without the complexity and reliability issues that would arise from unstructured multi-tasking.
Data Source
AI summary
The present disclosure relates to handling tasks in parallel. In an embodiment, a method performed by a device comprises determining a type of tasks allowed to be performed in parallel based on a configuration received from a network, and performing tasks corresponding to the type while rejecting tasks not corresponding to the type.