WO2023080342A1 - System for recognizing environment situation and notifying of behavior by using artificial intelligence-based environment sensor - Google Patents

System for recognizing environment situation and notifying of behavior by using artificial intelligence-based environment sensor Download PDF

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Publication number
WO2023080342A1
WO2023080342A1 PCT/KR2022/001272 KR2022001272W WO2023080342A1 WO 2023080342 A1 WO2023080342 A1 WO 2023080342A1 KR 2022001272 W KR2022001272 W KR 2022001272W WO 2023080342 A1 WO2023080342 A1 WO 2023080342A1
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environmental
data
indoor
environment
artificial intelligence
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PCT/KR2022/001272
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French (fr)
Korean (ko)
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마송훈
조인환
이준형
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제이씨스퀘어주식회사
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/451—Execution arrangements for user interfaces
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Definitions

  • the present invention is an environmental situation recognition and action notice using an artificial intelligence-based environmental sensor that recognizes an indoor pollution situation based on a learning model based on environmental sensing values measured using a plurality of environmental sensors and recommends an appropriate action notice. It relates to systems and methods.
  • the present invention is a technology developed through the "Advanced situational awareness A/I learning using environment sensing IoT convergence sensor system" project of the 2020 post-corona specialized artificial intelligence technology commercialization support project (CY201023) of the Seoul Business Agency.
  • indoor air quality in residential environments is known to have a huge impact on human health.
  • indoor air quality has a greater impact on human health than outdoor air, and as the indoor living time increases in the post-COVID-19 era, the degree of influence is expected to increase.
  • IoT Internet of Things
  • the platform focuses on analyzing the collected air quality data and providing analysis results to users, and even if the sensor's accuracy is slightly lacking, it provides users with real-time notifications about the current air quality to encourage ventilation and action.
  • indoor air quality monitoring systems In addition to the growing interest in indoor air quality (IAQ), advances in the Internet of Things and sensor technology have enabled the development of compact indoor air quality monitoring systems. These systems can monitor various indoor air pollutants in real time, allowing people to identify the current air quality in real time to purify indoor air using exhaust or air cleaning systems. However, since most indoor air quality monitoring systems present only numeric values of pollutants, it is difficult for experts as well as general users to identify how polluted the air is or what the pollution standards for each pollutant are.
  • the air quality monitoring system is mainly supplied to newly built apartments, but it is not applied to residential environments such as old apartments, row houses, multi-households, and villas, where the majority of Seoul citizens live.
  • An object of the present invention is to solve the above problems, and collects indoor and outdoor environmental data adjacent to indoors, recognizes the situation of the actual indoor environment data through artificial intelligence that has learned it, and provides appropriate action notices. It is to provide a system and method for environmental situation awareness and behavioral notification using an artificial intelligence-based environmental sensor.
  • Another object of the present invention is to efficiently control indoor air quality according to a user's pattern and environmental factors without direct control by the user.
  • Another object of the present invention is to provide an algorithm that can compare and determine the environment in the living space with the outside air standard, thereby enabling accurate analysis of air quality in the living environment.
  • Another object of the present invention is to provide a system that can easily and accurately apply air quality monitoring at low cost to existing residential environments such as old apartments, row houses, multi-households, and villas, where the majority of Seoul citizens live. .
  • a plurality of environmental sensors for measuring environmental data with respect to the indoor or outdoor of the location adjacent to the indoor; a device installed in the room and controlling temperature, humidity, and ventilation of the room; a service server that collects indoor and outdoor environmental data measured by the plurality of environmental sensors;
  • a learning model is built based on indoor environment data and outdoor environment data collected from the service server, user preference, dwelling data on residential type, and behavioral data, and recognizing the indoor situation of the environment data through the learning model. It is achieved by an environmental context awareness and action notification system using an artificial intelligence-based environmental sensor including an AI server that recommends an appropriate action notice.
  • the service server may transmit a control signal for controlling at least one of indoor temperature, humidity, and ventilation to the device according to the action notice recommended by the AI server.
  • the environmental situation awareness and action notification system using an artificial intelligence-based environmental sensor is provided to the user with action notifications installed in the device and recommended by the AI server from the service server.
  • Informing the user application may further include.
  • the AI server may collect the behavioral data by a scheduler input in advance according to the user's life pattern through the user application.
  • the AI server notifies the user through the user application when the environmental data measured by each environmental sensor is out of the normal numerical range, induces the user to input the corresponding situation, and collects the behavioral data. can do.
  • the plurality of environmental sensors are fusion sensors including any one or more of a temperature sensor, a humidity sensor, a fine dust sensor, and a CO 2 sensor, and transmits environmental data to the service server through a public API when built outdoors.
  • fusion sensors including any one or more of a temperature sensor, a humidity sensor, a fine dust sensor, and a CO 2 sensor, and transmits environmental data to the service server through a public API when built outdoors.
  • the user application may remotely control the device by accessing the service server through a network.
  • the above object may include, according to an embodiment of the present invention, a service server collecting environmental data with respect to an indoor area sensed through a plurality of environmental sensors or an outdoor area adjacent to the indoor area; Recognizing the indoor situation of the environment data through artificial intelligence learned based on the indoor environment data and outdoor environment data collected from the service server, the user's preference, residential data on the type of dwelling, and behavioral data ; and recommending, by the AI server, a behavioral notification according to the situational awareness.
  • the present invention it is possible to collect not only air quality data for an indoor space but also outdoor air quality data adjacent to the indoor space by using a plurality of environmental sensors, and real indoor environment data through an artificial intelligence function learned based on this. By recognizing the situation and recommending appropriate action notices, it is possible to accurately analyze air quality in the living environment.
  • indoor air quality can be efficiently controlled according to the user's pattern and environmental factors without direct control by the user. There are possible effects.
  • air quality monitoring can be easily and accurately applied at low cost in existing residential environments such as old apartments, row houses, multi-households, and villas as well as new residential complexes, thereby expanding the scope of its utilization. It works.
  • the present invention can be very suitable for monitoring the deterioration of the neighboring residential environment due to housing improvement projects such as frequent remodeling in downtown Seoul.
  • FIG. 1 is a conceptual diagram schematically illustrating an indoor situational awareness and action notification system using an artificial intelligence-based environmental sensor according to an embodiment of the present invention.
  • FIG. 2 is a configuration diagram showing the detailed configuration of an indoor situation awareness and action notification system using an artificial intelligence-based environmental sensor according to an embodiment of the present invention.
  • 3 to 9 are embodiments showing an operation interface screen in a user application according to an embodiment of the present invention.
  • FIG. 10 is an overall flowchart illustrating an indoor situation awareness and action notification method using an artificial intelligence-based environment sensor according to an embodiment of the present invention.
  • FIG. 1 is a conceptual diagram schematically illustrating an indoor situational awareness and action notification system (hereinafter referred to as a system) using an artificial intelligence-based environmental sensor according to an embodiment of the present invention.
  • a system includes a plurality of environmental sensors 100, a service server 200, an AI server 300, and a device 400.
  • the plurality of environmental sensors 100 measure not only indoor space but also outdoor air quality such as a factory or an indoor parking lot.
  • the indoor or indoor space may mean a space inside a building such as a house, a shopping mall, a factory, a daycare center, or a school, and may further mean an inside space between moving vehicles such as vehicles and trains. That is, the interior can be understood as a concept encompassing an interior space where people can live while being distinguishable from the outside.
  • the plurality of environmental sensors 100 detect five representative pollutants such as temperature, humidity, gas, fine dust (PM-10, PM-25), nitrogen dioxide (NO2), carbon monoxide (CO), and sulfur dioxide (SO2). Environment data (or environmental sensing values) can be output.
  • pollutants such as temperature, humidity, gas, fine dust (PM-10, PM-25), nitrogen dioxide (NO2), carbon monoxide (CO), and sulfur dioxide (SO2).
  • Environment data can be output.
  • the service server 200 and the AI server 300 receive the environmental sensing values measured from the plurality of environmental sensors 100 and analyze the data.
  • the AI server 300 uses a model trained close to the user's intelligence. Recognize the indoor pollution situation for environmental sensing values and recommend appropriate action notices.
  • the service server 200 transmits a control signal for controlling the temperature, humidity, etc. of the indoor space to the device 400 according to the recommendation of the action notice, and the device 400 that receives the control signal operates according to the control signal to operate the indoor space. control the temperature, humidity, or ventilation of Or, it can control IoT devices in the indoor space.
  • the system according to the embodiment of the present invention operating in this way can be used in residential environments such as general apartments, villas, and houses, general office office environments, schools, academies, university classrooms, campuses, restaurants used by an unspecified number of people, cafes, shopping malls, department stores, and downtown areas. It can be applied in a variety of ways, such as the environment of nearby manufacturing plants, various construction sites such as new buildings/remodeling/interiors, subway stations, and indoor and outdoor parking lots.
  • FIG. 2 is a configuration diagram showing the detailed configuration of an environmental situation awareness and action notification system using an artificial intelligence-based environmental sensor according to an embodiment of the present invention.
  • the environmental situation awareness and action notification system includes a plurality of measuring stations 110 and a plurality of sensors 120 as a plurality of environmental sensors (100 in FIG. 1), and the service server 200 includes It includes an API server 210, a device server 220, and databases 230 and 240. And, it includes an AI server 300, a device 400, and a user application 410 that work with the service server 200.
  • a number of measuring stations 110 measure outdoor air quality. That is, it is installed outdoors at the location closest to the indoor space, and the outdoor environment data measured at each measurement station is transmitted to the service server 200 through a public API. As needed, outdoor monitoring stations are operated by national agencies and data can be provided free of charge through public APIs.
  • a plurality of sensors 120 measure indoor air quality.
  • the plurality of measuring stations 110 and the plurality of sensors 120 include a temperature/humidity sensor, a gas sensor array, a fine dust treatment chip, a multi-channel analog signal processing circuit, a multi-channel analog digital converter (ADC), and a microcontroller (MCU). It can be composed of an environment sensing fusion sensor module including a Controller Unit).
  • the service server 200 collects outdoor environment data sensed from the measuring station 110 through a public API in the API server 210, and collects indoor environment data measured from the plurality of sensors 120 in the device server 220. do.
  • the collected outdoor environment data and indoor environment data are stored in databases 230 and 240 .
  • the API server 210 is connected to the AI server 300 and transmits the collected outdoor environment data and indoor environment data to the AI server 300, and from the AI server 300 to the environment data Behavioral notification results are recommended.
  • the service server 200 works with the device 400 through the device server 220 to control the temperature, humidity, ventilation, etc. of the user's room according to the action notice recommended by the AI server 300.
  • the AI server 300 builds a learning model based on the indoor environment data and outdoor environment data collected by the service server 200 and the user's preference, residence data, temperature control data, behavioral data, and the like.
  • the AI server 300 recognizes the situation of the actual indoor environment data through the learning model, and recommends a suitable action notification result value according to the situation to the service server 200.
  • the action notice result value means data notifying evacuation, ventilation, temperature control, air purifier operation, and the like.
  • the user's dwelling data is information about the indoor space in which the user resides, and includes, for example, dwelling type (apartment, villa, etc.), number of floors, number of household members, and the like.
  • Behavioral data is information about actions that a user mainly performs in an indoor space, and may include, for example, cooking, grilling meat, dusting, and the like.
  • behavioral data may be collected by a scheduler previously set through an application or the like according to a user's life pattern. For example, by collecting the user's life pattern from Monday to Friday, the user's activity pattern mainly living in an indoor space is converted into data.
  • the behavioral data may be collected by notifying the user when each sensor is out of a normal numerical range and inducing the user to input a corresponding situation.
  • the service server notifies the user, and the user selects or directly inputs the content that the meat is currently grilled at home. can do. Input at this time may be performed through an application.
  • the device 400 is installed in a user's room (an indoor space of a home or office), and functions as a controller for controlling indoor temperature, humidity, and ventilation.
  • the device 400 receives a control signal for controlling indoor temperature, humidity, ventilation, etc. through the device server 220 of the service server 200 according to the action notice recommended by the AI server 300.
  • the device 400 may include various environmental sensors such as a temperature sensor as well as a fine dust sensor and a CO2 sensor, but is not limited thereto and may be physically separated from the device and installed in a separate location.
  • environmental sensors such as a temperature sensor as well as a fine dust sensor and a CO2 sensor, but is not limited thereto and may be physically separated from the device and installed in a separate location.
  • the user application 410 is installed in the device 400 and performs a function of receiving action notices recommended by the AI server 300 from the service server 200 and notifying the user.
  • the user application 410 may remotely access the service server 200 and control the device 400 installed in the user's room.
  • the user application 410 may collect and provide user behavioral data to the AI server 300 . That is, the user application 410 may provide a scheduler function to collect the user's life pattern for a period set by the user. In addition, the user application 410 may induce input of a corresponding situation when the environment data received from the service server 200 is not in a normal numerical range.
  • the user application 410 for this provides an interface screen for easy manipulation by the user, as shown in FIGS. 3 to 9 below.
  • 3 is a basic home screen that is generally provided after going through membership registration and setting steps.
  • reference numeral 440 denotes a menu button through which all menus can be browsed in an expanded view manner
  • 441 denotes a status refresh menu button.
  • Reference numeral 442 is a status display area showing an outdoor location adjacent to my location (eg, Gangnam-daero) and an outdoor atmospheric condition (eg, fine dust 34, ultrafine dust 24).
  • an outdoor location adjacent to my location eg, Gangnam-daero
  • an outdoor atmospheric condition eg, fine dust 34, ultrafine dust 24.
  • the status display area information on devices installed in the user's indoor space is displayed in the 'My Device' display area. That is, shown in 443 is a delete button for deleting my registered device (apparatus), 445 is a user's activity record with respect to the registered device, and 446 provides the status of my device.
  • FIG. 4 is an input screen for a user's activity record on the home screen of FIG. 3 .
  • This detailed screen is displayed when the user's activity record item 445 shown in FIG. 3 is selected, and provides a currently performed activity 451 to be tagged and recorded. For example, any activity of daily life, exercise, cooking, or cleaning may be tagged and stored.
  • FIG. 5 is a detailed screen for all menu views on the home screen of FIG. 3 .
  • various menu tabs are displayed as shown in 461 in FIG. do.
  • device registration is for registering a device installed in the user's indoor space
  • activity history displays the user's activity history.
  • the activity schedule is a function for registering a fixed schedule
  • the setting tab is a function for setting user residential environment data.
  • 6 to 9 show detailed screens for each menu described above.
  • FIG. 6 shows a detailed interface screen for the activity history menu in FIG. 5 .
  • a search area 471 for searching activity history specified by date and time and an activity history display area 472 displaying a list of activity history performed on a specified schedule as a result of the search are provided on the screen. .
  • the interface screen of FIG. 7 is a screen for setting an activity schedule, and includes an area 482 for selecting a day of the week to assign an activity schedule, an area 483 for setting a schedule time zone, and a device to which the schedule is applied, that is, a device.
  • An area 484 and an area 485 for selecting an activity to designate as a corresponding schedule may be provided.
  • Reference numeral 481 denotes a menu for going back to a home screen or previous screen.
  • the interface screen of FIG. 8 shows a list 491 of registered activity schedules.
  • Reference numeral 492 is a menu for deleting a registered activity schedule.
  • FIG. 9 is a detailed interface screen for the setting menu in FIG. 5 .
  • the setting menu is a function for setting user residential environment data, and a screen for inputting residential environment data is provided.
  • an input field 412 for specifying a personal preferred temperature for specifying a personal preferred temperature
  • an input field 413 for designating a dwelling type for specifying the number of dwelling floors
  • an input field 415 for specifying the number of co-housing household members may be provided.
  • Reference numeral 411 is a menu for going back to a home screen or previous screen.
  • the service server collects indoor and outdoor environmental data sensed through a plurality of environmental sensors.
  • the outdoor environment data may be limited to the outdoor area adjacent to the indoor space.
  • an embodiment of the present invention is intended to provide an algorithm capable of comparing and determining the air quality of an indoor space based on the outdoor air quality.
  • the AI server determines the indoor situation for environmental data through artificial intelligence learned based on indoor environment data and outdoor environment data collected from the service server, user's preference, residential data on residential type, and behavioral data. Recognize. That is, the current situation of indoor air quality is recognized based on the user's life pattern. For example, according to the user's activity history in a situation where the indoor air quality is relatively high, it may be determined that the cleaning is in progress.
  • the AI server may recommend an action notice according to the situation.
  • the AI server may recommend action notifications such as opening the window or operating the air purifier depending on the situational awareness that cleaning is in progress.
  • the service server may inform the user of the action notice through the user application according to the recommendation of the AI server.
  • the service server may transmit a control signal for controlling at least one of indoor temperature, humidity, and ventilation to the device according to the action notice recommended by the AI server.
  • the present invention can be used to monitor the state of the living environment or indoor environment and improve the air quality of the living environment or indoor environment based on this.

Abstract

The present invention relates to a technology developed through a task entitled "Advancing situation-recognizing AI learning by using environment-sensing IoT-combined sensor system" under a project (CY201023) for supporting post-COVID specialized artificial intelligence techno business, 2020, by Seoul Business Agency, Seoul. Disclosed are a system and a method for recognizing an environment situation and notifying of a behavior by using an artificial intelligence-based environment sensor. The system for recognizing an environment situation and notifying of a behavior by using an artificial intelligence-based environment sensor according to the present invention recognizes the situation of indoor contamination and recommends a behavior notification appropriate therefor from environment sensing values measured by using multiple environment sensors, on the basis of a learning model. To this end, the system comprises: multiple environment sensors for measuring environment data with regard to an indoor space or an outdoor space positioned adjacent to the indoor space; a device installed in the indoor space to control the temperature, humidity, and ventilation of the indoor space; a service server for collecting indoor and outdoor environment data measured through the multiple environment sensors; and an AI server for constructing a learning model on the basis of indoor environment data and outdoor environment data collected from the service server, user preferences, housing data regarding housing types, and behavior data, recognizing the indoor situation regarding the environment data through the learning model, and recommending a behavior notification appropriate therefor.

Description

인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템Environmental situation awareness and action notification system using artificial intelligence-based environmental sensors
본 발명은 다수의 환경센서를 이용하여 측정된 환경 센싱값을 학습 모델에 기반하여 실내 오염의 상황을 인지하고 그에 적합한 행동 고지를 추천하는, 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템 및 방법에 관한 것이다.The present invention is an environmental situation recognition and action notice using an artificial intelligence-based environmental sensor that recognizes an indoor pollution situation based on a learning model based on environmental sensing values measured using a plurality of environmental sensors and recommends an appropriate action notice. It relates to systems and methods.
본 발명은 서울특별시 서울산업진흥원 2020년도 포스트 코로나 특화 인공지능 기술사업화 지원사업(CY201023)의 "환경감지 IoT 융합센서 시스템을 이용한 상황인지 A·I 학습 고도화" 과제를 통해 개발된 기술이다.The present invention is a technology developed through the "Advanced situational awareness A/I learning using environment sensing IoT convergence sensor system" project of the 2020 post-corona specialized artificial intelligence technology commercialization support project (CY201023) of the Seoul Business Agency.
2014년 WHO 보고서에 따르면, 주거환경에서 공기의 질(IAQ: Indoor Air Quality)은 인간의 건강에 막대한 영향을 미치는 것으로 알려져 있다. 특히, 외부의 공기 보다도 실내의 공기질이 인간의 건강에 큰 영향을 미치며, 포스트 코로나 시대에 실내 거주시간이 많아짐에 따라, 그 영향도는 더욱 증가할 것으로 사료된다. According to the 2014 WHO report, indoor air quality (IAQ) in residential environments is known to have a huge impact on human health. In particular, it is believed that indoor air quality has a greater impact on human health than outdoor air, and as the indoor living time increases in the post-COVID-19 era, the degree of influence is expected to increase.
이에 따라, 실내의 공기질 측정 및 각 플랫폼에서 측정한 데이터를 전송하는 사물 인터넷(IoT) 기반 기술과 데이터 분석 기술이 다양하게 연구되고 있다. 플랫폼은 수집된 공기질 데이터를 분석하여 사용자에게 분석 결과를 제공하는 것에 중점을 두고 있으며, 센서의 정확도가 조금 부족하더라도 사용자에게 실시간으로 현재 공기질에 대한 알림을 제공하여 환기 및 대처를 유도하고 있다.Accordingly, Internet of Things (IoT)-based technologies and data analysis technologies for measuring indoor air quality and transmitting measured data from each platform are being studied in various ways. The platform focuses on analyzing the collected air quality data and providing analysis results to users, and even if the sensor's accuracy is slightly lacking, it provides users with real-time notifications about the current air quality to encourage ventilation and action.
실내 공기질(IAQ)에 대한 관심이 증가하는 것에 부가하여, 사물 인터넷 및 센서 기술의 발전은 소형의 실내 공기질 모니터링 시스템의 발전을 가능하게 하였다. 이들 시스템들은 실시간으로 다양한 실내 공기 오염 물 질을 모니터링할 수 있어서, 사람들이 실시간으로 현재의 공기질을 식별함으로써 배출 또는 공기 청정 시스템을 사용하여 실내 공기를 정화할 수 있다. 하지만, 대부분의 실내 공기질 모니터링 시스템들은 오염 물질의 센싱값을 수치로만 제시하기 때문에, 전문가뿐만 아니라 일반 사용자들은 공기가 얼마나 오염되었는지 또는 각 오염 물질의 오염 기준이 무엇인지를 식별하기가 어렵다. In addition to the growing interest in indoor air quality (IAQ), advances in the Internet of Things and sensor technology have enabled the development of compact indoor air quality monitoring systems. These systems can monitor various indoor air pollutants in real time, allowing people to identify the current air quality in real time to purify indoor air using exhaust or air cleaning systems. However, since most indoor air quality monitoring systems present only numeric values of pollutants, it is difficult for experts as well as general users to identify how polluted the air is or what the pollution standards for each pollutant are.
또한, 기존에는 센서가 설치된 실내 공간 내부의 센싱 데이터로는 외부 환경 요인에 의한 상황인지 오류 발생 여지가 있었으며, 센서가 설치된 실내 공간에서 특정 활동 없이도 외부 환기를 통해 오염이 증가할 수 있는 문제가 있었다.In addition, in the past, there was room for situational awareness errors due to external environmental factors with the sensing data inside the indoor space where the sensor was installed, and there was a problem that contamination could increase through external ventilation even without specific activities in the indoor space where the sensor was installed. .
또한, 공기질 모니터링 시스템은 주로 새로 지어지는 아파트를 중심으로 공급되고 있는데, 서울 시민들의 대다수가 살고 있는 주거환경인 구 아파트, 연립주택, 다세대, 빌라 등의 주거환경에는 적용되지 못하고 있다.In addition, the air quality monitoring system is mainly supplied to newly built apartments, but it is not applied to residential environments such as old apartments, row houses, multi-households, and villas, where the majority of Seoul citizens live.
관련 선행기술문헌으로는 등록특허공보 제10-2199915호(발명의 명칭: 인공지능 카메라를 이용한 인공지능 IoT 환경 센서의 재실 상황 추론 학습 방법, 공고일자: 2021년 01월 08일) 및 등록특허공보 제10-2197035호(발명의 명칭: 영상 및 IoT 센서 기반 다기능 환경감시 및 제어장치, 공고일자: 2020년 12월 30일) 등이 있다.Related prior art documents include Registered Patent Publication No. 10-2199915 (Title of Invention: Occupancy Situation Inference Learning Method for Artificial Intelligence IoT Environment Sensor Using Artificial Intelligence Camera, Publication Date: January 08, 2021) and Registered Patent Publication No. 10-2197035 (title of invention: video and IoT sensor-based multifunctional environment monitoring and control device, date of publication: December 30, 2020), etc.
본 발명의 목적은, 상기의 문제점을 해결하기 위한 것으로서, 실내 및 실내와 인접한 실외의 환경 데이터를 각각 수집하고 이를 학습시킨 인공지능을 통해 실제 실내 환경 데이터에 대한 상황을 인지하고 그에 적합한 행동고지를 추천하는, 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템 및 방법을 제공하는 것이다.An object of the present invention is to solve the above problems, and collects indoor and outdoor environmental data adjacent to indoors, recognizes the situation of the actual indoor environment data through artificial intelligence that has learned it, and provides appropriate action notices. It is to provide a system and method for environmental situation awareness and behavioral notification using an artificial intelligence-based environmental sensor.
본 발명의 다른 목적은, 사용자가 직접 제어하지 않아도 사용자의 패턴과 환경요인에 따라 효율적으로 실내 공기질을 제어하도록 하는 것이다.Another object of the present invention is to efficiently control indoor air quality according to a user's pattern and environmental factors without direct control by the user.
또한, 본 발명의 다른 목적은, 외부 대기 기준으로 하여 생활공간 내부에 대한 환경을 비교하여 판단할 수 있는 알고리즘을 제공함으로써 정확한 생활 환경 공기질 분석이 가능하도록 하는 것이다.In addition, another object of the present invention is to provide an algorithm that can compare and determine the environment in the living space with the outside air standard, thereby enabling accurate analysis of air quality in the living environment.
또한, 본 발명의 또 다른 목적은, 서울 시민들의 대다수가 살고 있는 주거환경인 구 아파트, 연립주택, 다세대, 빌라 등 기존 주거환경에서도 공기질 모니터링을 저비용으로 쉽고 정확하게 적용할 수 있는 시스템을 제공하는 것이다.In addition, another object of the present invention is to provide a system that can easily and accurately apply air quality monitoring at low cost to existing residential environments such as old apartments, row houses, multi-households, and villas, where the majority of Seoul citizens live. .
상기 목적은, 본 발명의 일 실시예에 따라, 실내 또는 상기 실내와 인접한 위치의 실외에 대하여 환경 데이터를 측정하는 다수의 환경센서; 상기 실내에 설치되고 상기 실내의 온도, 습도, 환기를 제어하기 위한 디바이스; 상기 다수의 환경센서를 통해 측정된 실내 및 실외 환경 데이터를 수집하는 서비스 서버; 상기 서비스 서버로부터 수집된 실내 환경 데이터와 실외 환경 데이터, 사용자의 선호도, 주거형태에 관한 주거 데이터, 행동 데이터에 기반하여 학습 모델을 구축하고 상기 학습 모델을 통해 상기 환경 데이터에 대한 실내의 상황을 인지하고 그에 적합한 행동고지를 추천하는 AI 서버를 포함하는 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템에 의해 달성된다.The above object, according to an embodiment of the present invention, a plurality of environmental sensors for measuring environmental data with respect to the indoor or outdoor of the location adjacent to the indoor; a device installed in the room and controlling temperature, humidity, and ventilation of the room; a service server that collects indoor and outdoor environmental data measured by the plurality of environmental sensors; A learning model is built based on indoor environment data and outdoor environment data collected from the service server, user preference, dwelling data on residential type, and behavioral data, and recognizing the indoor situation of the environment data through the learning model. It is achieved by an environmental context awareness and action notification system using an artificial intelligence-based environmental sensor including an AI server that recommends an appropriate action notice.
바람직하게, 상기 서비스 서버는, 상기 AI 서버로부터 추천받은 행동고지에 따라 실내의 온도, 습도, 환기 중 적어도 하나 이상을 제어하기 위한 제어신호를 상기 디바이스로 전달할 수 있다. Preferably, the service server may transmit a control signal for controlling at least one of indoor temperature, humidity, and ventilation to the device according to the action notice recommended by the AI server.
바람직하게, 본 발명의 실시예에 따른 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템은, 상기 디바이스에 설치되고 상기 AI 서버에 의해 추천받은 행동고지를 상기 서비스 서버로부터 제공받아 사용자에게 알려주는 사용자 애플리케이션;을 더 포함할 수 있다. Preferably, the environmental situation awareness and action notification system using an artificial intelligence-based environmental sensor according to an embodiment of the present invention is provided to the user with action notifications installed in the device and recommended by the AI server from the service server. Informing the user application; may further include.
바람직하게, 상기 AI 서버는, 상기 사용자 애플리케이션을 통해 사용자의 생활 패턴에 따라 미리 입력해둔 스케줄러에 의해 상기 행동 데이터를 수집할 수 있다. Preferably, the AI server may collect the behavioral data by a scheduler input in advance according to the user's life pattern through the user application.
바람직하게, 상기 AI 서버는, 각각의 환경센서를 통해 측정된 환경 데이터가 정상적인 수치범위를 벗어난 경우 상기 사용자 애플리케이션을 통해 사용자에게 알리고, 상기 사용자로 하여금 해당 상황을 입력하도록 유도하여 상기 행동 데이터를 수집할 수 있다. Preferably, the AI server notifies the user through the user application when the environmental data measured by each environmental sensor is out of the normal numerical range, induces the user to input the corresponding situation, and collects the behavioral data. can do.
바람직하게, 상기 다수의 환경센서는, 온도 센서, 습도센서, 미세 먼지 센서, CO2 센서 중 어느 하나 이상을 포함하는 융합센서이고, 실외에 구축되는 경우 공공 API를 통해 상기 서비스 서버로 환경 데이터를 제공할 수 있다. Preferably, the plurality of environmental sensors are fusion sensors including any one or more of a temperature sensor, a humidity sensor, a fine dust sensor, and a CO 2 sensor, and transmits environmental data to the service server through a public API when built outdoors. can provide
바람직하게, 상기 사용자 애플리케이션은, 상기 서비스 서버에 네트워크 접속하여 상기 디바이스를 원격 제어할 수 있다.Preferably, the user application may remotely control the device by accessing the service server through a network.
상기 목적은, 본 발명의 실시예에 따라, 서비스 서버가 다수의 환경센서를 통해 센싱된 실내 또는 상기 실내와 인접한 위치의 실외에 대하여 환경 데이터를 수집하는 단계; AI 서버가 상기 서비스 서버로부터 수집된 실내 환경 데이터와 실외 환경 데이터, 사용자의 선호도, 주거형태에 관한 주거 데이터, 행동 데이터에 의거 학습시킨 인공지능을 통해 상기 환경 데이터에 대한 실내의 상황을 인지하는 단계; 및 상기 AI 서버가 상기 상황인지에 따른 행동고지를 추천하는 단계를 포함하는 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 방법에 의해 달성된다.The above object may include, according to an embodiment of the present invention, a service server collecting environmental data with respect to an indoor area sensed through a plurality of environmental sensors or an outdoor area adjacent to the indoor area; Recognizing the indoor situation of the environment data through artificial intelligence learned based on the indoor environment data and outdoor environment data collected from the service server, the user's preference, residential data on the type of dwelling, and behavioral data ; and recommending, by the AI server, a behavioral notification according to the situational awareness.
본 발명의 일 실시예에 따르면, 다수의 환경센서를 이용하여 실내 공간에 대한 공기질 데이터뿐만 아니라 실내와 인접한 실외의 공기질 데이터까지 수집이 가능하며, 이를 토대로 학습시킨 인공지능 기능을 통해 실제 실내 환경 데이터에 대한 상황을 인지하고 그에 적합한 행동고지를 추천함으로써 정확한 생활 환경 공기질 분석이 가능한 효과가 있다.According to an embodiment of the present invention, it is possible to collect not only air quality data for an indoor space but also outdoor air quality data adjacent to the indoor space by using a plurality of environmental sensors, and real indoor environment data through an artificial intelligence function learned based on this. By recognizing the situation and recommending appropriate action notices, it is possible to accurately analyze air quality in the living environment.
또한, 본 발명의 일 실시예에 따르면, 외부 대기 기준으로 하여 생활공간 내부에 대한 환경을 비교하여 판단할 수 있으므로 보다 정확한 공기질 분석이 가능한 현저한 효과가 있다. In addition, according to an embodiment of the present invention, since it is possible to compare and determine the environment for the inside of the living space based on the external air quality, there is a remarkable effect of enabling more accurate air quality analysis.
또한, 본 발명의 일 실시예에 따르면, 사용자의 행동 데이터에 기초한 인공지능 기능을 기반으로 공기질 분석을 수행함으로써, 사용자가 직접 제어하지 않아도 사용자의 패턴과 환경요인에 따라 효율적으로 실내 공기질을 제어할 수 있는 효과가 있다. In addition, according to an embodiment of the present invention, by performing an air quality analysis based on an artificial intelligence function based on user behavior data, indoor air quality can be efficiently controlled according to the user's pattern and environmental factors without direct control by the user. There are possible effects.
또한, 본 발명의 일 실시예에 따르면, 새로운 주거단지는 물론, 구 아파트, 연립주택, 다세대, 빌라 등 기존 주거환경에서도 공기질 모니터링을 저비용으로 쉽게 정확하게 적용할 수 있어 그 활용 범위를 확대할 수 있는 효과가 있다. In addition, according to an embodiment of the present invention, air quality monitoring can be easily and accurately applied at low cost in existing residential environments such as old apartments, row houses, multi-households, and villas as well as new residential complexes, thereby expanding the scope of its utilization. It works.
또한, 본 발명의 일 실시예에 따르면, 서울 시내의 잦은 리모델링 등 주거 개선사업으로 인한 이웃 주거환경 악화 상황 모니터링용으로도 매우 적합할 수 있다.In addition, according to an embodiment of the present invention, it can be very suitable for monitoring the deterioration of the neighboring residential environment due to housing improvement projects such as frequent remodeling in downtown Seoul.
도 1은 본 발명의 실시예에 따른 인공지능 기반의 환경센서를 이용한 실내 상황인지 및 행동고지 시스템을 개략적으로 나타낸 개념도이다.1 is a conceptual diagram schematically illustrating an indoor situational awareness and action notification system using an artificial intelligence-based environmental sensor according to an embodiment of the present invention.
도 2는 본 발명의 실시예에 따른 인공지능 기반의 환경센서를 이용한 실내 상황인지 및 행동고지 시스템의 세부 구성을 나타낸 구성도이다. 2 is a configuration diagram showing the detailed configuration of an indoor situation awareness and action notification system using an artificial intelligence-based environmental sensor according to an embodiment of the present invention.
도 3 내지 도 9는 본 발명의 실시예에 따른 사용자 애플리케이션에서 동작 인터페이스 화면을 보여주는 실시예들이다.3 to 9 are embodiments showing an operation interface screen in a user application according to an embodiment of the present invention.
도 10은 본 발명의 실시예에 따른 인공지능 기반의 환경센서를 이용한 실내 상황인지 및 행동고지 방법을 설명하기 위한 전체 흐름도이다.10 is an overall flowchart illustrating an indoor situation awareness and action notification method using an artificial intelligence-based environment sensor according to an embodiment of the present invention.
본 발명과 본 발명의 동작상의 이점 및 본 발명의 실시에 의하여 달성되는 목적을 충분히 이해하기 위해서는 본 발명의 바람직한 실시예를 예시하는 첨부 도면 및 첨부 도면에 기재된 내용을 참조하여야만 한다.In order to fully understand the present invention and its operational advantages and objectives achieved by the practice of the present invention, reference should be made to the accompanying drawings illustrating preferred embodiments of the present invention and the contents described in the accompanying drawings.
이하, 첨부된 도면을 참조하여 본 발명의 바람직한 실시예를 설명함으로써, 본 발명을 상세히 설명한다. 다만, 본 발명을 설명함에 있어서 이미 공지된 기능 혹은 구성에 대한 설명은, 본 발명의 요지를 명료하게 하기 위하여 생략하기로 한다.Hereinafter, the present invention will be described in detail by describing preferred embodiments of the present invention with reference to the accompanying drawings. However, in describing the present invention, descriptions of already known functions or configurations will be omitted to clarify the gist of the present invention.
도 1은 본 발명의 실시예에 따른 인공지능 기반의 환경센서를 이용한 실내 상황인지 및 행동고지 시스템(이하, 시스템이라 칭함)을 개략적으로 나타낸 개념도이다.1 is a conceptual diagram schematically illustrating an indoor situational awareness and action notification system (hereinafter referred to as a system) using an artificial intelligence-based environmental sensor according to an embodiment of the present invention.
본 발명의 실시예에 따른 시스템은 다수의 환경센서(100)와, 서비스 서버(200), AI 서버(300), 디바이스(400)를 포함한다. A system according to an embodiment of the present invention includes a plurality of environmental sensors 100, a service server 200, an AI server 300, and a device 400.
다수의 환경센서(100)는 실내 공간뿐만 아니라, 공장이나 실내주차장 등과 같은 실외의 공기질을 측정한다. 여기서, 실내 또는 실내 공간은 주택, 상가, 공장, 어린이집, 학교 등의 건물 내부의 공간을 의미할 수 있으며, 나아가 차량, 열차 등의 이동 수간의 내부 공간을 의미할 수 있다. 즉, 실내는 외부와의 구분이 가능하면서 사람이 생활 가능한 내부의 공간을 포괄하는 개념으로 이해될 수 있다. The plurality of environmental sensors 100 measure not only indoor space but also outdoor air quality such as a factory or an indoor parking lot. Here, the indoor or indoor space may mean a space inside a building such as a house, a shopping mall, a factory, a daycare center, or a school, and may further mean an inside space between moving vehicles such as vehicles and trains. That is, the interior can be understood as a concept encompassing an interior space where people can live while being distinguishable from the outside.
다수의 환경센서(100)는 온도, 습도, 가스, 미세먼지(PM-10, PM-25), 이산화질소(NO2), 일산화탄소(CO), 아황산가스(SO2) 등 대표적인 5가지 오염 물질을 감지한 환경데이터(또는 환경 센싱값)를 출력할 수 있다.The plurality of environmental sensors 100 detect five representative pollutants such as temperature, humidity, gas, fine dust (PM-10, PM-25), nitrogen dioxide (NO2), carbon monoxide (CO), and sulfur dioxide (SO2). Environment data (or environmental sensing values) can be output.
서비스 서버(200) 및 AI 서버(300)는 다수의 환경센서(100)로부터 측정된 환경 센싱값을 전달받아 데이터 분석을 하고, 특히 AI 서버(300)는 사용자의 지능과 가깝게 학습시킨 모델을 통해 환경 센싱값에 대한 실내 오염의 상황을 인지하고 그에 적합한 행동고지를 추천한다. The service server 200 and the AI server 300 receive the environmental sensing values measured from the plurality of environmental sensors 100 and analyze the data. In particular, the AI server 300 uses a model trained close to the user's intelligence. Recognize the indoor pollution situation for environmental sensing values and recommend appropriate action notices.
그러면, 서비스 서버(200)는 행동고지의 추천에 따라 실내 공간의 온도, 습도 등을 제어하는 제어신호를 디바이스(400)로 전달하고 이를 전달받은 디바이스(400)는 제어신호에 따라 동작하여 실내 공간의 온도, 습도, 또는 환기를 제어한다. 또는 실내 공간의 IoT 기기를 제어할 수 있다. Then, the service server 200 transmits a control signal for controlling the temperature, humidity, etc. of the indoor space to the device 400 according to the recommendation of the action notice, and the device 400 that receives the control signal operates according to the control signal to operate the indoor space. control the temperature, humidity, or ventilation of Or, it can control IoT devices in the indoor space.
이렇게 동작하는 본 발명의 실시예에 따른 시스템은 일반 아파트, 빌라, 주택 등의 주거환경, 일반사무직 사무실 환경, 학교, 학원, 대학교 강의실 캠퍼스, 불특정 다수가 사용하는 음식점, 카페, 쇼핑몰, 백화점, 도심 주변의 제조업 공장의 환경, 신축건물/리모델링/인테리어 등 다양한 공사 현장, 지하철 역사, 실내 외 주차장 환경 등 다양하게 적용할 수 있다. The system according to the embodiment of the present invention operating in this way can be used in residential environments such as general apartments, villas, and houses, general office office environments, schools, academies, university classrooms, campuses, restaurants used by an unspecified number of people, cafes, shopping malls, department stores, and downtown areas. It can be applied in a variety of ways, such as the environment of nearby manufacturing plants, various construction sites such as new buildings/remodeling/interiors, subway stations, and indoor and outdoor parking lots.
이를 적용하기 위한 구체적인 구성은 다음과 같다. The specific configuration for applying this is as follows.
도 2는 본 발명의 실시예에 따른 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템의 세부 구성을 나타낸 구성도이다.2 is a configuration diagram showing the detailed configuration of an environmental situation awareness and action notification system using an artificial intelligence-based environmental sensor according to an embodiment of the present invention.
본 발명의 실시예에 따른 환경 상황인지 및 행동고지 시스템은, 다수의 환경센서(도 1의 100)로서 다수의 측정소(110)와 다수의 센서(120)를 포함하고, 서비스 서버(200)에는 API 서버(210), 디바이스 서버(220), 데이터베이스(230, 240)를 포함한다. 그리고, 이러한 서비스 서버(200)와 연동되는 AI 서버(300), 디바이스(400), 사용자 애플리케이션(410)을 포함한다. The environmental situation awareness and action notification system according to an embodiment of the present invention includes a plurality of measuring stations 110 and a plurality of sensors 120 as a plurality of environmental sensors (100 in FIG. 1), and the service server 200 includes It includes an API server 210, a device server 220, and databases 230 and 240. And, it includes an AI server 300, a device 400, and a user application 410 that work with the service server 200.
다수의 측정소(110)는 실외의 공기질을 측정한다. 즉, 실내 공간과 가장 인접한 위치의 실외에 설치되며, 각 측정소에서 측정된 실외 환경 데이터는 공공 API를 통해 서비스 서버(200)로 전송된다. 필요에 따라 실외 측정소는 국가 기관에 의해 운영되며 공공 API를 통해 데이터를 무료로 제공받을 수 있다. A number of measuring stations 110 measure outdoor air quality. That is, it is installed outdoors at the location closest to the indoor space, and the outdoor environment data measured at each measurement station is transmitted to the service server 200 through a public API. As needed, outdoor monitoring stations are operated by national agencies and data can be provided free of charge through public APIs.
다수의 센서(120)는 실내의 공기질을 측정한다. A plurality of sensors 120 measure indoor air quality.
이때, 다수의 측정소(110) 및 다수의 센서(120)는 온/습도 센서, 가스 센서 어레이, 미세먼지 처리칩, 다채널 아날로그 신호처리 회로, 다채널 ADC(Analog Digital Converter), 및 MCU(Micro Controller Unit)를 포함하는 환경감지 융합센서 모듈로 구성될 수 있다. At this time, the plurality of measuring stations 110 and the plurality of sensors 120 include a temperature/humidity sensor, a gas sensor array, a fine dust treatment chip, a multi-channel analog signal processing circuit, a multi-channel analog digital converter (ADC), and a microcontroller (MCU). It can be composed of an environment sensing fusion sensor module including a Controller Unit).
서비스 서버(200)는 API 서버(210)에서 공공 API를 통해 측정소(110)로부터 센싱된 실외 환경 데이터를 수집하고, 디바이스 서버(220)에서 다수의 센서(120)로부터 측정된 실내 환경 데이터를 수집한다. 수집된 실외 환경 데이터 및 실내 환경 데이터는 데이터베이스(230, 240)에 저장된다. The service server 200 collects outdoor environment data sensed from the measuring station 110 through a public API in the API server 210, and collects indoor environment data measured from the plurality of sensors 120 in the device server 220. do. The collected outdoor environment data and indoor environment data are stored in databases 230 and 240 .
또한, 서비스 서버(200)에서 API 서버(210)는 AI 서버(300)와 연결되어 수집된 실외 환경 데이터와 실내 환경 데이터를 AI 서버(300)로 전달하고, AI 서버(300)로부터 환경 데이터에 대한 행동고지 결과값을 추천받는다. In addition, in the service server 200, the API server 210 is connected to the AI server 300 and transmits the collected outdoor environment data and indoor environment data to the AI server 300, and from the AI server 300 to the environment data Behavioral notification results are recommended.
또한, 서비스 서버(200)는 디바이스 서버(220)를 통해 디바이스(400)와 연동되어 AI 서버(300)로부터 추천받은 행동고지에 따라 사용자의 실내의 온도, 습도, 환기 등을 제어한다. In addition, the service server 200 works with the device 400 through the device server 220 to control the temperature, humidity, ventilation, etc. of the user's room according to the action notice recommended by the AI server 300.
AI 서버(300)는 서비스 서버(200)에서 수집된 실내 환경 데이터 및 실외 환경 데이터와 사용자의 기호, 주거 데이터, 온도 제어 데이터, 행동 데이터 등에 기반하여 학습 모델을 구축한다. 이러한 AI 서버(300)는 학습 모델을 통해 실제 실내 환경 데이터에 대한 상황을 인지하고, 상황에 따른 적합한 행동 고지 결과값을 서비스 서버(200)로 추천한다. 여기서, 행동 고지 결과값이라 함은 대피, 환기, 온도 조절, 공기 청정기 가동 등을 고지하는 데이터를 의미한다. The AI server 300 builds a learning model based on the indoor environment data and outdoor environment data collected by the service server 200 and the user's preference, residence data, temperature control data, behavioral data, and the like. The AI server 300 recognizes the situation of the actual indoor environment data through the learning model, and recommends a suitable action notification result value according to the situation to the service server 200. Here, the action notice result value means data notifying evacuation, ventilation, temperature control, air purifier operation, and the like.
사용자의 주거 데이터는 사용자가 거주하는 실내 공간에 대한 정보로서, 예컨대 주거 유형(아파트, 빌라 등), 층수, 세대원수 등을 포함한다. 행동 데이터는 사용자가 주로 실내 공간에서 행하는 행동에 관한 정보로서, 예컨대 요리하기, 고기굽기, 먼지털기 등을 포함할 수 있다. The user's dwelling data is information about the indoor space in which the user resides, and includes, for example, dwelling type (apartment, villa, etc.), number of floors, number of household members, and the like. Behavioral data is information about actions that a user mainly performs in an indoor space, and may include, for example, cooking, grilling meat, dusting, and the like.
본 발명의 실시예에서, 행동 데이터는 사용자의 생활 패턴에 따라 애플리케이션 등을 통해 미리 설정해둔 스케줄러에 의해 수집될 수 있다. 예컨대, 월요일부터 금요일까지의 사용자의 생활 패턴을 수집하여 사용자가 실내 공간에서 주로 생활하던 행동 패턴을 데이터화한다. In an embodiment of the present invention, behavioral data may be collected by a scheduler previously set through an application or the like according to a user's life pattern. For example, by collecting the user's life pattern from Monday to Friday, the user's activity pattern mainly living in an indoor space is converted into data.
또한, 행동 데이터는 각각의 센서가 정상적인 수치범위를 벗어난 경우 사용자에게 알림하고 이에 사용자로 하여금 해당 상황을 입력하도록 유도함으로써 수집될 수 있다. In addition, the behavioral data may be collected by notifying the user when each sensor is out of a normal numerical range and inducing the user to input a corresponding situation.
예를 들어, 사용자가 실내에서 고기를 구웠을 때 CO2 센서 등에 의해 감지되는 수치가 급격히 상승하는데, 이러한 경우 서비스 서버는 사용자에게 이를 알리고 이에 사용자는 현재 집에서 고기를 구웠다는 내용의 해당 선택하거나 직접 입력할 수 있다. 이때의 입력은 애플리케이션을 통해 수행될 수 있다. For example, when the user roasts meat indoors, the value detected by the CO2 sensor rises rapidly. In this case, the service server notifies the user, and the user selects or directly inputs the content that the meat is currently grilled at home. can do. Input at this time may be performed through an application.
디바이스(400)는 사용자의 실내(집이나 사무실의 실내 공간)에 설치되는데, 실내의 온도, 습도, 환기를 제어하기 위한 컨트롤러의 기능을 수행한다.The device 400 is installed in a user's room (an indoor space of a home or office), and functions as a controller for controlling indoor temperature, humidity, and ventilation.
디바이스(400)는 AI 서버(300)로부터 추천받은 행동고지에 따라 실내의 온도, 습도, 환기 등을 제어하기 위한 제어신호를 서비스 서버(200)의 디바이스 서버(220)를 통해 전달받는다. The device 400 receives a control signal for controlling indoor temperature, humidity, ventilation, etc. through the device server 220 of the service server 200 according to the action notice recommended by the AI server 300.
디바이스(400)에는 온도 센서는 물론 미세먼지 센서, CO2 센서 등의 다양한 환경 센서가 내장될 수 있지만, 이에 한정하는 것은 아니며 물리적으로 디바이스와 분리되어 별도의 위치에 설치될 수도 있다.The device 400 may include various environmental sensors such as a temperature sensor as well as a fine dust sensor and a CO2 sensor, but is not limited thereto and may be physically separated from the device and installed in a separate location.
사용자 애플리케이션(410)은 디바이스(400) 내에 설치되며, AI 서버(300)에 의해 추천받은 행동고지를 서비스 서버(200)로부터 제공받아 사용자에게 알려주는 기능을 수행한다. The user application 410 is installed in the device 400 and performs a function of receiving action notices recommended by the AI server 300 from the service server 200 and notifying the user.
또한, 사용자 애플리케이션(410)은 원격으로 서비스 서버(200)에 접속하여 사용자의 실내에 설치된 디바이스(400)를 제어할 수 있다. In addition, the user application 410 may remotely access the service server 200 and control the device 400 installed in the user's room.
또한, 사용자 애플리케이션(410)은 AI 서버(300)로 사용자의 행동 데이터를 수집하여 제공할 수 있다. 즉, 사용자 애플리케이션(410)은 사용자에 의해 설정된 기간동안 사용자의 생활 패턴을 수집하도록 스케줄러 기능을 제공할 수 있다. 또한, 사용자 애플리케이션(410)은 서비스 서버(200)로부터 수신한 환경 데이터가 정상적인 수치범위가 아닌 경우에 해당 상황을 입력하도록 유도할 수 있다. In addition, the user application 410 may collect and provide user behavioral data to the AI server 300 . That is, the user application 410 may provide a scheduler function to collect the user's life pattern for a period set by the user. In addition, the user application 410 may induce input of a corresponding situation when the environment data received from the service server 200 is not in a normal numerical range.
이를 위한 사용자 애플리케이션(410)은 사용자의 조작이 용이한 인터페이스 화면을 제공하는데, 하기의 도 3 내지 도 9와 같다.The user application 410 for this provides an interface screen for easy manipulation by the user, as shown in FIGS. 3 to 9 below.
도 3은 회원가입 및 설정 단계를 거친 후 일반적으로 제공되는 기본 홈 화면이다. 3 is a basic home screen that is generally provided after going through membership registration and setting steps.
도시된 홈 화면에서, 도면부호 440은 모든 메뉴를 펼쳐보기 식으로 열람할 수 있는 메뉴버튼을 나타내고, 441은 상태 새로고침 메뉴버튼을 나타내고 있다. 도면부호 442는 나의 위치와 인접한 실외의 위치(예컨대, 강남대로) 및 실외의 대기상태(예컨대, 미세먼지 34, 초미세먼지 24)를 보여주는 상태 표시 영역이다. 상태 표시 영역 하단에는 '나의 기기' 표시 영역으로 사용자의 실내 공간에 설치된 디바이스에 대한 정보를 표시한다. 즉, 도시된 443은 등록된 나의 디바이스(기기)를 삭제할 수 있는 삭제버튼, 445는 등록된 디바이스에 대하여 사용자의 활동 기록 사항, 446은 나의 디바이스에 대한 상태를 제공한다. In the illustrated home screen, reference numeral 440 denotes a menu button through which all menus can be browsed in an expanded view manner, and 441 denotes a status refresh menu button. Reference numeral 442 is a status display area showing an outdoor location adjacent to my location (eg, Gangnam-daero) and an outdoor atmospheric condition (eg, fine dust 34, ultrafine dust 24). At the bottom of the status display area, information on devices installed in the user's indoor space is displayed in the 'My Device' display area. That is, shown in 443 is a delete button for deleting my registered device (apparatus), 445 is a user's activity record with respect to the registered device, and 446 provides the status of my device.
도 4는 도 3의 홈 화면에서 사용자의 활동 기록에 대한 입력 화면이다.FIG. 4 is an input screen for a user's activity record on the home screen of FIG. 3 .
이의 상세 화면은 도 3에 도시된 사용자의 활동 기록 사항(445)이 선택되어지면 표시되는 화면으로, 현재 하고 있는 활동(451)을 태그하여 기록하도록 제공한다. 예를 들어, 일상, 운동, 요리, 청소 중 어느 하나의 활동을 태그하여 저장할 수 있다. This detailed screen is displayed when the user's activity record item 445 shown in FIG. 3 is selected, and provides a currently performed activity 451 to be tagged and recorded. For example, any activity of daily life, exercise, cooking, or cleaning may be tagged and stored.
이러한 활동 기록을 입력하는 과정을 통해, 사용자의 활동 데이터를 수집하는 것이 가능해질 것이다. Through the process of entering such an activity record, it will be possible to collect user's activity data.
도 5는 도 3의 홈 화면에서 모든 메뉴보기에 대한 상세 화면이다.FIG. 5 is a detailed screen for all menu views on the home screen of FIG. 3 .
즉, 도 3에 도시된 모든 메뉴 펼쳐보기(440)가 선택되어지면 도 5의 461과 같이 다양한 메뉴 탭이 표시되고, 메뉴 탭에서 원하는 메뉴가 선택되어지면 해당 기능을 수행하기 위한 인터페이스 화면이 표시된다. 다양한 메뉴에서, 기기등록은 사용자의 실내 공간에 설치된 디바이스를 등록하기 위한 것이고, 활동 이력은 사용자의 활동 이력을 표시한다. 활동 스케줄은 고정된 스케줄을 등록하기 위한 기능이며, 설정 탭은 사용자 주거 환경 데이터를 설정하는 기능이다.That is, when all the menu unfolding 440 shown in FIG. 3 is selected, various menu tabs are displayed as shown in 461 in FIG. do. In various menus, device registration is for registering a device installed in the user's indoor space, and activity history displays the user's activity history. The activity schedule is a function for registering a fixed schedule, and the setting tab is a function for setting user residential environment data.
도 6 내지 도 9는 이상에서 설명한 각 메뉴에 대한 상세 화면을 보여주고 있다. 6 to 9 show detailed screens for each menu described above.
도 6은 도 5에서의 활동 이력 메뉴에 대한 상세 인터페이스 화면을 보여주고 있다. 활동 이력 메뉴가 선택되어지면, 화면에는 날짜, 시간별로 지정하여 활동 이력을 검색하는 검색 영역(471), 검색 결과 지정된 일정에 수행되었던 활동 이력 목록이 표시되는 활동 이력 표시 영역(472)이 제공된다. FIG. 6 shows a detailed interface screen for the activity history menu in FIG. 5 . When the activity history menu is selected, a search area 471 for searching activity history specified by date and time and an activity history display area 472 displaying a list of activity history performed on a specified schedule as a result of the search are provided on the screen. .
도 7 및 도 8은 도 5에서의 활동 스케줄 메뉴에 대한 상세 인터페이스 화면이다. 도 7의 인터페이스 화면은 활동 스케줄을 설정하기 위한 화면으로서, 활동 스케줄을 지정할 요일을 선택하는 영역(482), 스케줄 시간대를 설정하는 영역(483), 스케줄을 적용할 기기 즉, 디바이스를 선택 지정하는 영역(484), 해당 스케줄로 지정할 활동을 선택하는 영역(485)이 제공될 수 있다. 도면부호 481은 홈 화면 또는 이전 화면을 되돌아가기 메뉴를 나타내고 있다. 7 and 8 are detailed interface screens for the activity schedule menu in FIG. 5 . The interface screen of FIG. 7 is a screen for setting an activity schedule, and includes an area 482 for selecting a day of the week to assign an activity schedule, an area 483 for setting a schedule time zone, and a device to which the schedule is applied, that is, a device. An area 484 and an area 485 for selecting an activity to designate as a corresponding schedule may be provided. Reference numeral 481 denotes a menu for going back to a home screen or previous screen.
한편, 도 8의 인터페이스 화면에는 등록된 활동 스케줄의 목록(491)을 보여주고 있다. 도면부호 492는 등록된 활동 스케줄을 삭제하기 위한 메뉴이다. Meanwhile, the interface screen of FIG. 8 shows a list 491 of registered activity schedules. Reference numeral 492 is a menu for deleting a registered activity schedule.
한편, 도 9는 도 5에서의 설정 메뉴에 대한 상세 인터페이스 화면이다. Meanwhile, FIG. 9 is a detailed interface screen for the setting menu in FIG. 5 .
여기서, 설정 메뉴는 사용자 주거 환경 데이터를 설정하는 기능으로, 주거 환경 데이터를 입력하는 화면이 제공된다. Here, the setting menu is a function for setting user residential environment data, and a screen for inputting residential environment data is provided.
이를 테면, 개인 선호 온도를 지정하는 입력란(412), 주거 유형을 지정하는 입력란(413), 주거 층수를 지정하는 입력란(414), 공동 주거 세대원수를 지정하는 입력란(415)을 포함하여 제공될 수 있다. 미설명부호 411은 홈 화면 또는 이전 화면을 되돌아가기 메뉴이다. For example, an input field 412 for specifying a personal preferred temperature, an input field 413 for designating a dwelling type, an input field 414 for specifying the number of dwelling floors, and an input field 415 for specifying the number of co-housing household members may be provided. can Reference numeral 411 is a menu for going back to a home screen or previous screen.
이하, 도 10을 참조하여 본 발명의 실시예에 따른 인공지능 기반의 환경센서를 이용한 실내 상황인지 및 행동고지 방법을 설명한다.Hereinafter, an indoor situation awareness and action notification method using an artificial intelligence-based environmental sensor according to an embodiment of the present invention will be described with reference to FIG. 10 .
먼저 S100 단계에서, 서비스 서버가 다수의 환경센서를 통해 센싱된 실내 및 실외의 환경 데이터를 수집한다. 이때, 실외의 환경 데이터는 실내 공간과 인접한 위치의 실외로 한정할 수 있다. 따라서, 본 발명의 실시예에서는 실외의 외부 대기를 기준으로 하여 실내 공간에 대한 공기질을 비교하여 판단할 수 있는 알고리즘을 제공하고자 하기 위함이다. First, in step S100, the service server collects indoor and outdoor environmental data sensed through a plurality of environmental sensors. In this case, the outdoor environment data may be limited to the outdoor area adjacent to the indoor space. Accordingly, an embodiment of the present invention is intended to provide an algorithm capable of comparing and determining the air quality of an indoor space based on the outdoor air quality.
다음 S200 단계에서, AI 서버가 서비스 서버로부터 수집된 실내 환경 데이터와 실외 환경 데이터, 사용자의 선호도, 주거형태에 관한 주거 데이터, 행동 데이터에 의거 학습시킨 인공지능을 통해 환경 데이터에 대한 실내의 상황을 인지한다. 즉, 사용자의 생활 패턴에 근거하여 실내 공기질에 대한 현재 상황을 인지한다. 예를 들어, 실내 공기질이 상대적으로 높은 상황에 사용자의 활동 이력에 따르면 현재 청소 중이라고 상황을 판단할 수 있다. In the next step S200, the AI server determines the indoor situation for environmental data through artificial intelligence learned based on indoor environment data and outdoor environment data collected from the service server, user's preference, residential data on residential type, and behavioral data. Recognize. That is, the current situation of indoor air quality is recognized based on the user's life pattern. For example, according to the user's activity history in a situation where the indoor air quality is relatively high, it may be determined that the cleaning is in progress.
다음 S300 단계에서, AI 서버가 상황인지에 따른 행동고지를 추천할 수 있다. 전자의 예를 들자면, AI 서버는 청소 중이라는 상황 인지에 따라 창문을 열어라 또는 공기청정기를 가동시키는 행동 고지를 추천할 수 있을 것이다.In the next step S300, the AI server may recommend an action notice according to the situation. As an example of the former, the AI server may recommend action notifications such as opening the window or operating the air purifier depending on the situational awareness that cleaning is in progress.
다음 S400 단계에서, 서비스 서버가 AI 서버의 추천에 따라 사용자 애플리케이션을 통해 사용자에게 해당 행동 고지를 알릴 수 있다. In the next step S400, the service server may inform the user of the action notice through the user application according to the recommendation of the AI server.
다음 S500 단계에서, 서비스 서버가 AI 서버로부터 추천받은 행동고지에 따라 실내의 온도, 습도, 환기 중 적어도 하나 이상을 제어하기 위한 제어신호를 디바이스로 전달할 수 있다. In the next step S500, the service server may transmit a control signal for controlling at least one of indoor temperature, humidity, and ventilation to the device according to the action notice recommended by the AI server.
이상의 설명은 본 발명을 예시적으로 설명한 것에 불과하며, 본 발명이 속하는 기술 분야에서 통상의 지식을 가진 자에 의해 본 발명의 기술적 사상에서 벗어나지 않는 범위에서 다양한 변형이 가능할 것이다. 따라서 본 발명의 명세서에 개시된 실시예들은 본 발명을 한정하는 것이 아니다. 본 발명의 범위는 아래의 특허청구범위에 의해 해석되어야 하며, 본 출원 시점에 있어서 이들을 대체할 수 있는 다양한 균등물과 변형 예들은 본 발명의 범위에 포함되는 것으로 해석해야 할 것이다.The above description is merely illustrative of the present invention, and various modifications may be made by those skilled in the art without departing from the technical spirit of the present invention. Therefore, the embodiments disclosed in the specification of the present invention are not intended to limit the present invention. The scope of the present invention should be construed by the claims below, and various equivalents and modifications that can replace them at the time of this application should be construed as being included in the scope of the present invention.
본 발명은 생활 환경 내지 실내 환경의 상태를 모니터링하고 이를 기초로 생활 환경 내지 실내 환경의 공기질 등을 개선하는데 이용될 수 있다.The present invention can be used to monitor the state of the living environment or indoor environment and improve the air quality of the living environment or indoor environment based on this.

Claims (8)

  1. 실내 또는 상기 실내와 인접한 위치의 실외에 대하여 환경 데이터를 측정하는 다수의 환경센서;A plurality of environmental sensors for measuring environmental data with respect to indoors or outdoors adjacent to the indoors;
    상기 실내에 설치되고 상기 실내의 온도, 습도, 환기를 제어하기 위한 디바이스;a device installed in the room and controlling temperature, humidity, and ventilation of the room;
    상기 다수의 환경센서를 통해 측정된 실내 및 실외 환경 데이터를 수집하는 서비스 서버;a service server that collects indoor and outdoor environmental data measured by the plurality of environmental sensors;
    상기 서비스 서버로부터 수집된 실내 환경 데이터와 실외 환경 데이터, 사용자의 선호도, 주거형태에 관한 주거 데이터, 행동 데이터에 기반하여 학습 모델을 구축하고 상기 학습 모델을 통해 상기 환경 데이터에 대한 실내의 상황을 인지하고 그에 적합한 행동고지를 추천하는 AI 서버;A learning model is built based on indoor environment data and outdoor environment data collected from the service server, user preference, dwelling data on residential type, and behavioral data, and recognizing the indoor situation of the environment data through the learning model. an AI server that recommends appropriate action notices;
    를 포함하는 것을 특징으로 하는 을 특징으로 하는 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템. Environmental context awareness and action notification system using an artificial intelligence-based environmental sensor, characterized in that it comprises a.
  2. 제1항에 있어서,According to claim 1,
    상기 서비스 서버는, 상기 AI 서버로부터 추천받은 행동고지에 따라 실내의 온도, 습도, 환기 중 적어도 하나 이상을 제어하기 위한 제어신호를 상기 디바이스로 전달하는 것을 특징으로 하는 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템. The service server uses an artificial intelligence-based environmental sensor, characterized in that for transmitting a control signal for controlling at least one of indoor temperature, humidity, and ventilation to the device according to the action notice recommended by the AI server. Environmental situational awareness and behavior notification system.
  3. 제1항에 있어서,According to claim 1,
    상기 디바이스에 설치되고 상기 AI 서버에 의해 추천받은 행동고지를 상기 서비스 서버로부터 제공받아 사용자에게 알려주는 사용자 애플리케이션;A user application that is installed in the device and informs the user of the action notice recommended by the AI server from the service server;
    을 더 포함하는 것을 특징으로 하는 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템. Environmental context awareness and behavior notification system using an artificial intelligence-based environmental sensor, characterized in that it further comprises.
  4. 제3항에 있어서,According to claim 3,
    상기 AI 서버는,The AI server,
    상기 사용자 애플리케이션을 통해 사용자의 생활 패턴에 따라 미리 입력해둔 스케줄러에 의해 상기 행동 데이터를 수집하는 것을 특징으로 하는 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템.Environmental context awareness and behavior notification system using an artificial intelligence-based environmental sensor, characterized in that for collecting the behavior data by a scheduler input in advance according to the user's life pattern through the user application.
  5. 제3항에 있어서,According to claim 3,
    상기 AI 서버는,The AI server,
    각각의 환경센서를 통해 측정된 환경 데이터가 정상적인 수치범위를 벗어난 경우 상기 사용자 애플리케이션을 통해 사용자에게 알리고, 상기 사용자로 하여금 해당 상황을 입력하도록 유도하여 상기 행동 데이터를 수집하는 것을 특징으로 하는 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템.When the environmental data measured by each environmental sensor is out of the normal numerical range, the user is notified through the user application, and the behavioral data is collected by inducing the user to enter the corresponding situation based on artificial intelligence. Environmental situation awareness and action notification system using environmental sensors of .
  6. 제1항에 있어서, According to claim 1,
    상기 다수의 환경센서는, The plurality of environmental sensors,
    온도 센서, 습도센서, 미세 먼지 센서, CO2 센서 중 어느 하나 이상을 포함하는 융합센서이고,A fusion sensor including at least one of a temperature sensor, a humidity sensor, a fine dust sensor, and a CO2 sensor,
    실외에 구축되는 경우 공공 API를 통해 상기 서비스 서버로 환경 데이터를 제공하는 것을 특징으로 하는 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템.An environmental situation awareness and action notification system using an artificial intelligence-based environmental sensor, characterized in that for providing environmental data to the service server through a public API when built outdoors.
  7. 제3항에 있어서, According to claim 3,
    상기 사용자 애플리케이션은, The user application,
    상기 서비스 서버에 네트워크 접속하여 상기 디바이스를 원격 제어할 수 있는 것을 특징으로 하는 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 시스템.An environmental situation awareness and behavior notification system using an artificial intelligence-based environmental sensor, characterized in that the device can be remotely controlled by network access to the service server.
  8. 서비스 서버가 다수의 환경센서를 통해 센싱된 실내 또는 상기 실내와 인접한 위치의 실외에 대하여 환경 데이터를 수집하는 단계;Collecting, by a service server, environmental data about an indoor area sensed through a plurality of environmental sensors or an outdoor area adjacent to the indoor area;
    AI 서버가 상기 서비스 서버로부터 수집된 실내 환경 데이터와 실외 환경 데이터, 사용자의 선호도, 주거형태에 관한 주거 데이터, 행동 데이터에 의거 학습시킨 인공지능을 통해 상기 환경 데이터에 대한 실내의 상황을 인지하는 단계; 및Recognizing the indoor situation of the environment data through artificial intelligence learned based on the indoor environment data and outdoor environment data collected from the service server, the user's preference, residential data on the type of dwelling, and behavioral data ; and
    상기 AI 서버가 상기 상황인지에 따른 행동고지를 추천하는 단계;The AI server recommending an action notice according to the situation;
    를 포함하는 인공지능 기반의 환경센서를 이용한 환경 상황인지 및 행동고지 방법.Environmental context awareness and action notification method using artificial intelligence-based environmental sensors including.
PCT/KR2022/001272 2021-11-04 2022-01-25 System for recognizing environment situation and notifying of behavior by using artificial intelligence-based environment sensor WO2023080342A1 (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20010107257A (en) * 2000-05-26 2001-12-07 구자홍 Optimum control apparatus and method for airconditioner
JP2008138902A (en) * 2006-11-30 2008-06-19 Daiwa House Ind Co Ltd Air-conditioning system
KR20180133239A (en) * 2018-08-20 2018-12-13 주식회사 에이치비티 An Air Care Managing System for Regulating a Personal Life Patten Based on Measuring Circumstance by IOT Sensor
KR102020306B1 (en) * 2018-09-19 2019-09-10 엘지전자 주식회사 Air conditioner based on artificial intelligence and method for controlling thereof
KR20210085772A (en) * 2019-12-31 2021-07-08 제이씨스퀘어주식회사 Multi-sensor based air quality status mobile notification system and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20010107257A (en) * 2000-05-26 2001-12-07 구자홍 Optimum control apparatus and method for airconditioner
JP2008138902A (en) * 2006-11-30 2008-06-19 Daiwa House Ind Co Ltd Air-conditioning system
KR20180133239A (en) * 2018-08-20 2018-12-13 주식회사 에이치비티 An Air Care Managing System for Regulating a Personal Life Patten Based on Measuring Circumstance by IOT Sensor
KR102020306B1 (en) * 2018-09-19 2019-09-10 엘지전자 주식회사 Air conditioner based on artificial intelligence and method for controlling thereof
KR20210085772A (en) * 2019-12-31 2021-07-08 제이씨스퀘어주식회사 Multi-sensor based air quality status mobile notification system and method

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