Mobile Health Task Scheduling via Work Breakdown Structure
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Solution Overview
Problem
Existing task scheduling methods in the mobile health field fail to effectively classify and distribute resources for real-time and non-real-time health tasks, leading to inefficient resource allocation and potential interruptions, affecting the quality of mobile health services.
Innovation Solution
A task scheduling system comprising a mobile health task distribution module, processing modules, and a callback module, utilizing the Resource Description and Access framework for classification, annealing algorithms for resource matching, and Work Breakdown Structure for task decomposition to optimize resource allocation and real-time monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing task scheduling methods are used without classification, then the system is simple to operate, but resource distribution becomes uneven and inefficient
Solution Approach 1:
The patent applies segmentation by classifying health tasks into different types (mobile diagnosis and treatment tasks, intelligent health tasks) based on real-time requirements. This classification enables differentiated resource allocation strategies, where real-time tasks receive priority scheduling and non-real-time tasks use standard scheduling, thereby improving overall resource utilization efficiency without overwhelming system complexity
Solution Approach 2:
The patent implements dynamic resource scheduling by adjusting scheduling strategies based on task characteristics. The system dynamically identifies task priorities and allocates resources accordingly, allowing the scheduling mechanism to adapt to different task types and real-time requirements, thus improving productivity while maintaining manageable complexity through rule-based dynamics
2Reliability
If existing task scheduling methods focus only on process results, then the scheduling process is simple, but real-time monitoring cannot be achieved leading to resource waste
Solution Approach 1:
The patent implements feedback mechanisms through task evaluation units that continuously assess task execution status and resource usage. This feedback enables real-time monitoring and dynamic adjustment of scheduling decisions, ensuring service quality and preventing resource waste by identifying and addressing abnormal interruptions promptly
Solution Approach 2:
The patent applies preliminary action by establishing evaluation criteria and monitoring protocols in advance for different task types. This preparatory framework enables automated real-time monitoring without requiring complex ad-hoc decision-making, improving reliability through pre-defined response mechanisms while keeping monitoring complexity manageable
Data Source
AI summary
The present invention discloses a task scheduling system and method suitable for mobile health, the characteristics thereof including: a mobile health task distribution module, a plurality of mobile health task processing modules and a mobile health task callback module; the mobile health task distribution module comprises: a resource description unit, a resource scheduling unit, a resource matcher; each of the mobile health task processing modules comprises: a task decomposition unit, a task execution unit, a task evaluation unit. The present invention is capable of carrying out tasks with full use of the currently available task processing resources, thereby being capable of improving the efficiency and performance of the task scheduling processing in the mobile health environment.