Air Handling Unit Temperature Scheduling From Weather and User History

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Solution Overview

Problem

Traditional temperature control mechanisms for air handling units require frequent user input for set temperature settings, leading to inconvenience and potential failure to ensure optimal indoor conditions.

Innovation Solution

A method and apparatus that schedule a set temperature for an air handling unit based on weather factor information by analyzing user-set temperature history data, using a communication unit to receive and process information from user devices and external servers to calculate average set temperatures corresponding to specific weather conditions for scheduling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a typical temperature controller receives set temperature information from a user in real-time, then the control system can respond to temperature changes, but the user experiences inconvenience due to frequent input requirements

Engineering Contradiction:
Improveuser input convenienceVSAvoidcontrol response efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The system performs preliminary actions by collecting and analyzing user temperature setting history in advance, building a predictive model that anticipates future temperature needs based on weather conditions and historical patterns, eliminating the need for real-time user input

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The temperature controller serves itself by automatically determining set temperatures through analysis of historical data and current weather conditions, without requiring continuous user intervention or input

Inventive Principle:
Principle #25Self-service

2Extent of automation

If the temperature controller operates without automation, then the system structure remains simple, but user convenience deteriorates due to manual input requirements

Engineering Contradiction:
Improvetemperature scheduling automationVSAvoidcontrol system complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The system implements feedback by continuously monitoring weather condition data and comparing it with historical temperature setting patterns, using this feedback loop to automatically adjust and schedule temperature settings without complex user interaction

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system creates a virtual model or copy of user temperature preferences based on historical data, using this copied behavioral pattern to automatically determine future temperature settings without requiring the actual user present

Inventive Principle:
Principle #26Copying

3Adaptability or versatility

If real-time user input is required for temperature settings, then the control system can adapt to user preferences, but energy management efficiency decreases due to manual operation overhead

Engineering Contradiction:
Improvetemperature preference adaptationVSAvoidenergy management efficiency
Core Design Contradiction:
Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The system performs preliminary analysis of user temperature preferences and weather condition correlations in advance, preparing predictive models that enable automatic energy-efficient temperature scheduling without manual intervention

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The temperature controller automatically manages energy consumption by self-determining optimal temperature settings based on historical patterns and current conditions, eliminating energy waste associated with manual operation delays

Inventive Principle:
Principle #25Self-service

Data Source

PatentEP3194858B1Temperature control method and apparatus
Publication Date: 2021.11.17 SAMSUNG ELECTRONICS CO LTD
  • EP3194858B1 patent drawingFigure 1
  • EP3194858B1 patent drawingFigure 2~3
  • EP3194858B1 patent drawingFigure 4~5

AI summary

A method and an apparatus for controlling a temperature based on scheduling of an indoor temperature are provided. The apparatus obtains set temperature history information of an air handling unit from previously stored information. The set temperature history information is mapped to weather factor history information about at least one weather factor. The apparatus also obtains weather factor information regarding a scheduling target time. Based on the obtained set temperature history information and the obtained weather factor information, the apparatus schedules a set temperature of the air handling unit with regard to the scheduling target time. The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present 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.