Schedule Bot Control for Predictive Home Appliance Coordination
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Solution Overview
Problem
Existing home automation systems do not consider user behavior patterns or interactions between devices, leading to inefficient control of home appliances.
Innovation Solution
A device and server system that stores and uses user behavior patterns to guide and control other devices by generating and transmitting time schedules and function information, allowing devices to operate in association with each other based on learned patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If home appliances are controlled based on simple user actions without considering behavior patterns, then the control system is simple and easy to implement, but the system cannot provide intelligent guidance or coordination between multiple devices
Solution Approach 1:
The system performs preliminary actions by storing user behavior patterns in advance and using them to proactively guide device control. The control unit identifies related devices and generates time schedules before user actions occur, enabling predictive control rather than reactive control.
Solution Approach 2:
A schedule management device acts as an intermediary between multiple home appliances, receiving behavior patterns and coordinating device operations. This mediator processes user behavior data and generates coordinated control schedules, reducing the complexity burden on individual devices while enabling intelligent automation.
2Adaptability or versatility
If multiple home appliances operate independently without interaction, then each device operates simply and reliably, but the system cannot provide interrelated services or coordinated functions
Solution Approach 1:
The schedule management device serves multiple functions: storing behavior patterns, identifying related devices, generating time schedules, and coordinating device operations. This universal component enables diverse device interactions without requiring complex integration logic in each individual appliance.
Solution Approach 2:
The system implements feedback mechanisms where device operation information is transmitted back to the schedule management device, which then adjusts and generates updated control schedules. This feedback loop enables adaptive coordination between devices based on actual operation status and user behavior patterns.
3Ease of operation
If the system waits for user input to control devices, then the control logic is simple and direct, but the system cannot proactively suggest or guide device functions
Solution Approach 1:
The system performs preliminary analysis of user behavior patterns and proactively generates device control suggestions before user actions occur. By analyzing stored behavior data in advance, the system can predict user needs and guide device functions without waiting for explicit user input.
Solution Approach 2:
The control system provides self-service by automatically analyzing user behavior patterns and generating appropriate device control schedules without requiring continuous user input. The system serves itself by using its own stored behavior data to make intelligent control decisions.
Data Source
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AI summary
This application is a technology with regard to a device that controls a related device based on an operation situation, a schedule bot and a server that controls the same, and the device that receives a control of the related device based on the operation situation by an exemplary embodiment of this application includes a function unit that performs a physical function of the device, a communication unit that receives a time schedule and function information from a related device or a schedule management device, and control unit that controls the function unit to maintain a ready state so that a function unit performs a first function at a point that is indicated in the time schedule by using the time schedule and the function information that the communication unit receives.