Home Appliance Control Server for Predictive Usage Sequencing
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Solution Overview
Problem
Current systems for controlling home appliances connected via IoT lack efficient methods to identify and manage the sequence of appliances to be used based on user patterns, leading to inconvenience and inefficiency in operation.
Innovation Solution
A server with a communication interface and processor that uses a neural network model trained on user patterns to identify the next appliance to be used and transmit control signals, including pre-set operations and timing, to optimize appliance usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual control of each appliance is implemented, then user control precision is improved, but user operation complexity increases and time consumption increases
Solution Approach 1:
The system enables appliances to automatically identify and control subsequent appliances based on usage patterns without manual user intervention. The server autonomously determines the sequence of appliance operations and transmits control signals, allowing the system to serve itself rather than requiring continuous user input for each control decision.
Solution Approach 2:
A server acts as an intermediary between the user and multiple appliances. The server receives usage information, processes it through a neural network model to determine control sequences, and automatically transmits control signals to the appropriate appliances, eliminating the need for users to directly control each appliance individually.
2Measurement precision
If manual control of each appliance is implemented, then user control precision is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary identification and sequencing of appliance operations automatically. By using the neural network model to predict and determine the control sequence in advance based on usage patterns, the system prepares the control plan before execution, reducing the time users need to spend on manual control operations.
Solution Approach 2:
The server autonomously executes the entire control process without requiring user time investment for each appliance operation. The system self-manages the identification, sequencing, and transmission of control signals, freeing users from time-consuming manual control tasks while maintaining precise control over appliance operations.
3Ease of operation
If automated control based on usage patterns is implemented, then user convenience is improved and time consumption is reduced, but system complexity increases
Solution Approach 1:
The server serves as a centralized intermediary that handles the complexity of pattern recognition and control sequencing. By concentrating the neural network model and decision-making logic in the server rather than distributing it across multiple appliances, the system manages complexity centrally while keeping individual appliances relatively simple.
Solution Approach 2:
The server performs multiple functions including receiving usage information from various appliances, processing data through the neural network model, determining control sequences for different appliance combinations, and transmitting control signals. This multi-functionality consolidates complex operations in a single system component, improving user convenience without proportionally increasing overall system complexity.
Data Source
AI summary
A server includes a communication interface; and at least one processor operatively connected to the communication interface and configured to: identify, based on use information received through the communication interface and related to at least one from among a plurality of electronic apparatuses, a first electronic apparatus to be used after from among the plurality of electronic apparatuses, and control the communication interface to transmit, to the first electronic apparatus from among the plurality of electronic apparatuses, a first control signal for controlling the first electronic apparatus.