Heating control system through prediction of user's sleep time based on big data analysis using smartphone

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Solution Overview

Problem

Conventional heating control systems do not differentiate between a user's sleep and non-sleep states, leading to inefficient energy consumption as they lack the capability to adjust heating methods based on the user's sleep status without additional equipment.

Innovation Solution

A heating control system that utilizes big data analysis from a smartphone's sensors, including light, noise, and acceleration data, to predict the user's sleep time and adjust indoor heating accordingly, without requiring separate sleep-determining devices, by employing a sleep prediction unit and heating controller to dynamically control heating based on the user's sleep state.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by stationary object

If manual temperature control is used, then user can set desired temperature, but energy is consumed unnecessarily when user is absent or sleeping

Engineering Contradiction:

Improveheating energy consumptionVSAvoidmanual control convenience

Core Design Contradiction:

Use of energy by stationary objectVSEase of operation

Solution Approach 1:

The heating control system automatically determines user presence and sleep state using smartphone sensors and big data analysis, enabling the system to self-adjust heating control methods without requiring manual user input or separate sleep detection devices

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes heating control parameters based on user state: when user is sleeping, it switches to periodic on/off control with lower frequency, and when user is present, it maintains continuous heating control, thereby optimizing energy consumption according to actual needs

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If separate sleep determining device is added, then user's sleep state can be detected, but device complexity and cost increase

Engineering Contradiction:

Improvesleep state detection accuracyVSAvoidsystem equipment requirements

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The smartphone serves multiple functions: it acts as both the user terminal for receiving heating control notifications and as the sleep state detection device, utilizing its existing sensors (acceleration, light, noise) for sleep analysis without requiring separate dedicated equipment

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses data from existing smartphone sensors to create a virtual sleep detection capability, analyzing acceleration data, light data, and noise data to infer sleep state without physically copying or adding specialized sleep detection hardware

Inventive Principle:

Principle #26Copying

3Temperature

If heating is continuously controlled, then indoor temperature is maintained, but energy consumption increases during user's sleep

Engineering Contradiction:

Improveindoor temperature controlVSAvoidheating energy consumption

Core Design Contradiction:

TemperatureVSUse of energy by moving object

Solution Approach 1:

When the system detects that the user is in a sleep state, it switches from continuous heating control to periodic on/off control, where the heater operates intermittently at lower frequency, thereby reducing energy consumption while still maintaining acceptable indoor temperature during sleep periods

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS11796207B2Heating control system through prediction of user's sleep time based on big data analysis using smartphone

Publication Date: 2023.10.24 KOREA ELECTRONICS TECH INST

AI summary

The present invention relates a heating control system through prediction of user's sleep time based on a big data analysis using a smartphone, comprising a user terminal including a plurality of sensors that generate all kinds of sensor data; a big data server that stores all kinds of sensor data; a sleep prediction unit that calculates sleep prediction time of a user based on all kinds of sensor data; and a heating apparatus that determines whether the user currently sleeps or not based on the calculated sleep prediction time and changes an indoor heating control method according to whether the user sleeps or not.