Server, home appliance, and method, performed by the server, of providing artificial intelligence recommendation service to the home appliance

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Solution Overview

Problem

Cycle-based home appliances, such as washing machines and dryers, require a significant amount of time to accumulate cycle history data before they can provide an AI course recommendation service, leading to low user convenience and inefficiency when new appliances are introduced, as they lack initial cycle history data and may not have the same functions or settings as existing appliances.

Innovation Solution

A server method that determines if a new home appliance is a new device based on registration and usage history, converts existing cycle history data from a similar appliance into compatible data using AI models and mapping relationships, and provides a course recommendation service by applying this converted data to the new appliance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the server waits for the new home appliance to accumulate cycle history data from scratch, then the data will be accurate and specific to the new appliance, but it will take a long time and reduce user convenience

Engineering Contradiction:

Improveaccuracy of cycle history dataVSAvoidtime to accumulate data

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The server performs preliminary actions by accumulating and storing cycle history data from existing home appliances before the new appliance is even installed. When a new appliance is registered, the server already has pre-accumulated data ready to be converted and provided immediately, eliminating the need for the new appliance to accumulate data from scratch.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The server creates a copy of cycle history data from existing appliances and converts it to be applicable for the new appliance. Instead of waiting for the new appliance to generate its own data, the system copies relevant historical data, adapts it through conversion based on appliance specifications, and provides it immediately for recommendation services.

Inventive Principle:

Principle #26Copying

2Loss of time

If the server uses cycle history data from an existing home appliance for a new appliance, then the data accumulation time is reduced, but the data may not be compatible if the appliances have different functions, courses, or settings

Engineering Contradiction:

Improvedata accumulation timeVSAvoidcompatibility of cycle history data

Core Design Contradiction:

Loss of timeVSAdaptability or versatility

Solution Approach 1:

The server changes the parameters of the cycle history data to match the new appliance's specifications. The conversion process adjusts course names, operation parameters, and setting values based on the differences between existing and new appliance models, ensuring the data becomes compatible while retaining its useful information.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The server acts as an intermediary that mediates between the existing appliance's cycle history data and the new appliance's requirements. It converts and adapts the data through a middle layer, translating courses and parameters from one appliance model to another, ensuring compatibility without direct one-to-one mapping.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Quantity of substance

If the server accumulates cycle history data from multiple existing home appliances, then more data is available for conversion, but the complexity of data processing and conversion increases

Engineering Contradiction:

Improveamount of cycle history dataVSAvoiddata processing complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The server segments the data processing by handling each existing appliance's cycle history data separately through standardized conversion routines. Instead of processing all data as one complex task, it divides the work into individual appliance-specific conversions, making the overall process more manageable and systematic.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20230095648A1Server, home appliance, and method, performed by the server, of providing artificial intelligence recommendation service to the home appliance

Publication Date: 2023.03.30 SAMSUNG ELECTRONICS CO LTD

AI summary

Provided are a server for providing a course recommendation service to a cycle-based new home appliance, and an operation method of the server. The server receives a signal requesting a course recommendation service from a home appliance, determines whether the home appliance is a new device, converts existing first cycle history data associated with an existing home appliance before use of the home appliance and that is a same type as the home appliance into second cycle history data corresponding to the home appliance, obtains information associated with a recommended course of the home appliance by using the second cycle history data, and transmits the obtained information about the recommended course of the home appliance to the home appliance.