IoT Routine Disruption Handling via Preliminary Action and Segmentation
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Solution Overview
Problem
In IoT environments, user routine disruptions due to faulty or malfunctioning devices are not effectively managed, leading to user discomfort and the need for alternative solutions to prevent and handle such disruptions.
Innovation Solution
A method and system for routine disruption handling that includes detecting disruptions in IoT devices, identifying their impact, and providing a disruption solution through modules like operating condition detection, disruption detection, impact identification, and disruption handling, which can recommend alternate devices or services, auto-complete tasks, and notify users, using modules like offline data receiving, activity segmentation, and prompting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated routines are implemented using IoT devices, then user dependency on automation increases and routine execution efficiency improves, but system reliability deteriorates when devices malfunction
Solution Approach 1:
The system performs preliminary actions by detecting disruptions in IoT devices before they fully impact user routines. The disruption detection module proactively identifies malfunctioning devices and triggers alternative routine suggestions before the user experiences significant disruption, allowing preventive measures to be taken.
Solution Approach 2:
The system introduces an intermediary disruption management module that mediates between malfunctioning IoT devices and user routines. When a device fails, this intermediary component detects the disruption and provides alternative routines or notifications, acting as a buffer that maintains system reliability even when individual devices malfunction.
2Ease of operation
If the system provides comprehensive disruption detection and alternative recommendations, then user comfort during disruptions improves, but system complexity increases
Solution Approach 1:
The system segments the disruption handling functionality into distinct modular components: disruption detection module, alternative routine suggestion module, and notification module. Each module performs a specific function independently, making the overall complex system manageable through functional segmentation while still providing comprehensive disruption management.
Solution Approach 2:
The system enables self-service by automatically detecting disruptions and generating alternative routine suggestions without requiring user intervention. The disruption management system autonomously monitors device status, identifies problems, and provides solutions, reducing the burden on users while maintaining ease of operation.
3Loss of information
If the system notifies users about disruptions and provides alternative routines, then user awareness and control improve, but response time for routine completion may decrease
Solution Approach 1:
The system performs preliminary notification by alerting users to disruptions and providing alternative routine suggestions before the user needs to take action. This advance notice allows users to mentally prepare and respond more efficiently, reducing the actual response time required when they need to implement changes to their routines.
Data Source
AI summary
The disclosure relates to sensor network, machine type communication (MTC), machine-to-machine (M2M) communication, and technology for internet of things (IoT). The disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The disclosure describes a method and system for routine disruption handling and routine management in a smart environment. A method for operating an apparatus is provided. The method includes detecting, an operating condition of at least one of device applications and internet of things (IoT) devices associated with a routine of user activities; detecting disruptions in the operating condition of the at least one of the device applications and the IoT devices; identifying an impact on the user activities that are caused by the disruptions; and performing a disruption handling to provide a disruption solution for executing the routine of user activities.