Social IoT Work Plan Optimization via Baseline Deviation
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Solution Overview
Problem
Current Social Internet of Things (SIoT) technologies lack the ability to automatically optimize multiple work plans across multiple devices for multiple users within a network, failing to adapt to conflicting usage inputs and provide real-time efficiency calculations.
Innovation Solution
A computer system and method that generates and optimizes user work plans by comparing them to performance baseline plans, automatically modifying and rescheduling events based on input from various IoT devices, such as smart home appliances, to ensure efficient resource usage and user consent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If current SIoT technologies are used, then basic device connectivity is achieved, but automatic optimization of multiple work plans across multiple devices for multiple users is not possible
Solution Approach 1:
The system continuously receives feedback from IoT devices about their actual usage and performance, compares this feedback against baseline work plans, and automatically modifies work plans to optimize efficiency. This feedback loop enables the system to adapt to real-time conditions and resolve conflicts between multiple users and devices.
Solution Approach 2:
The work plans are made dynamic rather than static, allowing them to automatically adjust and modify based on changing conditions, conflicting inputs from multiple users, and real-time device performance data. This dynamic adaptation enables the system to handle complex scenarios with multiple stakeholders.
2Productivity
If manual work plan management is used, then user control is maintained, but real-time efficiency calculations and automatic adjustments are not provided
Solution Approach 1:
The system performs self-optimization by automatically comparing actual device performance against baseline work plans and modifying schedules without requiring manual intervention. This self-service capability enables real-time efficiency calculations and automatic adjustments while reducing the operational burden on users.
Solution Approach 2:
The system introduces an intermediary layer between users and device management, automatically handling the complexity of coordinating multiple work plans, resolving conflicts, and calculating efficiency metrics. This intermediary function simplifies the user experience while maintaining high productivity.
3Adaptability or versatility
If work plans are rigidly enforced, then schedule stability is maintained, but adaptability to conflicting inputs and real-time changes is reduced
Solution Approach 1:
The work plans transition from rigid static schedules to dynamic adaptive schedules that can automatically adjust when conflicts arise or conditions change. The system maintains stability through continuous comparison with baseline plans while enabling adaptability through automatic modifications based on real-time feedback.
Data Source
AI summary
Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises generating a first user workplan based on received input; automatically modifying the first user workplan based on subsequent received input, wherein automatically modifying the first user workplan comprises comparing the first user workplan to a performance baseline workplan for a user computing device, measuring a deviation between the performance baseline workplan and the first user workplan; and generating a second user workplan based on any modifications made.