KR20230027488A - Smart Housing Platform, and Smart Home Service Method - Google Patents

Abstract

The present invention relates to a smart housing platform which enables a developer to freely develop and register a service, and to a smart home service method which provides various smart home services for a user based on the smart housing platform. According to the present invention, the smart housing platform comprises: a platform gateway for performing a connection function with a network to collect home data from service user equipment; a data storage module for storing integrated data including the home data collected through the platform gateway; an analysis model storage module for storing an analysis model developed based on the integrated data; a service logic development module for developing a service logic on the basis of the integrated data and the developed analysis model; a service module management module for verifying and approving the effectiveness of the developed service logic, and managing an approved service module; and a service module storage module for storing the approved service module. Accordingly, a smart home service is provided for the service user equipment on the basis of the approved service module. Therefore, a home user can use various smart home services registered on the smart housing platform.

Description

Smart Housing Platform and Smart Home Service Method {Smart Housing Platform, and Smart Home Service Method}

The present invention relates to a smart home service technology, and more particularly, to a smart housing platform in which developers can freely develop and register services, and a smart home service method for providing various smart home services to users based on the platform. .

Recently, hyper-connected and intelligent digital technologies of the 4th industrial revolution, such as big data, AI (artificial intelligence), IoT (Internet of Things), 5th generation mobile communication (5G), cloud, and block chain, are attracting attention as new growth engines in all industries. However, the value and importance of data collection and utilization are emerging in the construction field as well. In particular, with the development of digital technology, interest in a smart home is growing for intelligent living environments.

A smart home refers to a residential environment in which technology and services are converged through a network to improve the quality of life. In general, smart home is understood as a concept of home automation, which monitors and remotely controls the state of devices such as home appliances, lighting devices, air conditioning and heating devices, and security devices based on the Internet. A smart home uses a wall pad, smart phone, tablet PC, AI speaker, etc. as a central hub or gateway to link switches and sensors of smart home devices.

1 is a configuration diagram of a general smart home service system.

A typical smart home service system consists of a device 11, a gateway 12, a platform 13, and networks 14 and 15. A plurality of devices may be connected to one gateway 12 .

The device 11 is composed of a sensor for data collection, a controller, and a communication module. A device may be composed of a single system, such as a smart phone, wearable device, home appliance, etc., or may be individually installed as a separate device to collect and process data related to a service. In order to provide smart home services, sensors that detect conditions and changes in residents and indoor and outdoor environments are required. The sensor detects and changes various physical quantities such as temperature, humidity, light, pressure, sound, and chemical composition. Various sensor functions are also built into the device 11 itself.

The gateway 12 transfers data collected through the device 11 and sensors to the platform 13, and transfers service processing results such as analysis results and control commands of the platform 13 to the device 11 and actuators. The main functions of the gateway 12 include connection of a plurality of devices, connection between the device 11 and the platform 13, communication protocol conversion, device linkage details management, information resource management, and security functions.

A series of processes in which data generated by the device 11 is transferred to the platform 13 through the gateway 12, and analysis and control commands of the platform 13 are transferred back to the device 11 is performed through the networks 14 and 15 implemented into the environment. The network can be divided into a device network 14, a backhaul network 15, and a backend network (not shown) according to a connection object. The device network 14 connects the device 11 and the gateway 12, the backhaul network 15 connects the gateway 12 and the platform 13, and the backend network connects the platform to the platform.

IoT devices used in smart homes mainly use a wireless device network 14. Depending on the communication distance, a low-power wide area wireless network (eg, LoRaWan, SigFox, LTE-M, etc.) and a short-range wireless communication network (eg, Bluetooth , NFC, ZigBee, wifi, etc.). The backhaul network 15 may use a wired network (eg, Ethernet, LAN, etc.) and a wireless network (eg, LTE, 5G, etc.). The backend network is implemented as a wired network to secure the speed and reliability of large-capacity data transmission between servers. Each network is determined in consideration of service demand, data properties and transmission speed requirements, communication distance, economic feasibility, and the like.

The platform 13 is composed of server hardware for data storage, management, processing and analysis, related service modules and running application software. The server performs functions such as network and traffic control, analysis resource allocation, user and device operation and monitoring, service-related analysis, data processing, and service module management. The service module provides output values for executing service functions through predefined rules (IFTTT, If This Then That) and models by calling data collected in real time and required information from databases.

In the conventional smart home service, service technology development and operation are in progress centered on platforms and telecommunications companies. Overseas platform companies such as Google, Amazon, and Apple provide services that learn, analyze, and recognize human voices through AI speakers. In Korea, smart home platforms are being built around telecommunications companies with network infrastructure, such as SK Telecom, KT, and LG U+. Telecommunications companies do not produce devices themselves, but build platforms as an open system to implement smart home service linkage for various devices. However, until now, the smart home service of domestic companies has been a service that monitors and remotely controls the status of devices such as household appliances, kitchen appliances, air conditioning and heating devices, security devices, lighting devices, and smart plugs through smart phones and AI speakers. only the main

In this way, since conventional smart home services are developed centering on providers and distributed in one direction, various services are not provided, and the user's authority and freedom for service selection are insufficient. Therefore, it is necessary to consider the requirements and problems from the user's point of view and plan a high-level smart home service that can improve the user's quality of life. To this end, it is necessary to create an environment where developers can freely develop services, such as Google Play and Apple App Store.

In addition, in the conventional smart home service, interworking between devices is difficult when support platforms for each device are different due to the absence of a standardized integrated platform. In addition, network protocols and related standards adopted by devices are different according to device manufacturers, functions, service purposes, and the like. Therefore, since the variety and level of information that can be acquired from a single device in a household is limited, it is difficult to develop various services in the form of mashups that create new information by combining heterogeneous data. Such existing smart form service technology reduces the creativity and freedom of service developers and hinders the improvement of the quality level of services.

In particular, in order to develop AI-based services, various living environment-related data and computing devices are required. However, since the existing platforms can only secure some data collected from the user's own device, it is difficult to develop an artificial intelligence model with generalized versatility. In addition, smart home devices such as household appliances and kitchen appliances do not have devices to process AI model calculations, and smart home platforms do not provide AI model calculation and analysis functions except for voice recognition.

Republic of Korea Patent Publication No. 10-2018-0089978, "Integrated service platform device and service providing method thereof" Korean Patent Publication No. 10-2020-0136278, "5G-based multi-healthcare service smart home platform system and its driving method"

The present invention was made to solve the above-mentioned problems of the prior art, and various participants are free to artificial intelligence by collecting, storing and managing data related to housing such as households, complexes, and cities through an open gateway and opening it to developers. and to provide a smart housing platform that enables the development of rule-based smart home services.

Another object of the present invention is to provide a smart home service method that allows users within a household to freely use various smart home services developed by developers registered in a smart housing platform.

The technical problem to be achieved by the present embodiment is not limited to the technical problem described above, and other technical problems may exist.

The smart housing platform according to the present invention for achieving the above object is a platform gateway that collects intra-household data from service user equipment by performing a connection function with a network, and the intra-household data collected through the platform gateway. A data storage module for storing integrated data including integrated data, an analysis model storage module for storing an analysis model developed based on the integrated data, and a service logic development for developing service logic based on the integrated data and the developed analysis model. module, a service module management module that verifies and approves the validity of the developed service logic and manages the approved service module, and a service module storage module that stores the approved service module, including the approved service module Based on this, it is characterized in that the smart home service is provided to the service user equipment.

More preferably, it is characterized by further comprising an edge computing support module for performing edge computing on the service user equipment.

More preferably, the platform gateway is characterized in that it is an open-connectivity integrated gateway (OC-IGW) equipped with a multi-protocol conversion processing function.

In addition, the smart home service method according to the present invention includes a first step in which the smart housing platform manages integrated data including intra-household data collected through a platform gateway, and the smart housing platform is developed based on the integrated data. A second step of storing the analysis model, and the smart housing platform develops a service logic based on the integrated data and the developed analysis model, verifies and approves the validity of the developed service logic, and manages the approved service module and a fourth step of providing the smart home service to the service user equipment based on the approved service module by the smart housing platform.

More preferably, the fourth step is characterized in that edge computing is performed on the service user equipment.

More preferably, the platform gateway is characterized in that it is an open-connectivity integrated gateway (OC-IGW) equipped with a multi-protocol conversion processing function.

According to the present invention, various data can be collected, a number of developers can freely develop and register artificial intelligence and rule-based smart home services, and users within a household can use various smart home services registered on the smart housing platform. has the effect of allowing

1 is a configuration diagram of a general smart home service system.
2 is a block diagram showing a smart home service system according to the present invention.
3 is an operation flowchart of the data storage module of the smart housing platform according to the present invention.
4 is an operational flowchart of the service logic development module of the smart housing platform according to the present invention.
5 is a detailed configuration diagram of the analysis model storage module of the smart housing platform according to the present invention.
6 is an operation flowchart of the service module management module of the smart housing platform according to the present invention.
7 is a detailed configuration diagram of the service module storage module of the smart housing platform according to the present invention.
8 is a block diagram showing a developer computer according to the present invention.
9 is an operational flowchart of the AI analysis model development module of the developer computer according to the present invention.
10 is an operational flowchart of the IFTTT analysis model development module of the developer computer according to the present invention.
11 is an operation flowchart of a physical model development module of a developer computer according to the present invention.

Hereinafter, embodiments of the present invention will be described in detail so that those skilled in the art can easily practice the present invention with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. In order to clearly describe the present invention, parts irrelevant to the description in the drawings are omitted, and similar reference numerals are assigned to similar parts throughout the specification. In addition, while explaining with reference to the drawings, even if the configuration is indicated by the same name, the drawing number may vary depending on the drawing, and the drawing number is only described for convenience of explanation, and the concept, characteristic, function of each component is indicated by the corresponding drawing number. or the effect is not to be construed as limiting.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected" but also the case where it is "electrically connected" with another element interposed therebetween. . In addition, when a part is said to "include" a certain component, it means that it may further include other components, not excluding other components unless otherwise stated, and one or more other components. It should be understood that the presence or addition of features, numbers, steps, operations, components, parts, or combinations thereof is not precluded.

In this specification, 'unit' or 'module' includes a unit realized by hardware or software, or a unit realized by using both, and one unit is realized by using two or more hardware may be, or two or more units may be realized by one hardware.

2 is a block diagram showing a smart home service system according to the present invention.

The smart home service system according to the present invention includes a service user equipment 210 that collects data within a household, provides it to the smart housing platform 250, receives and executes a service module through the smart housing platform 250, and the outside of the household. Residential external data collection device 220 that collects residential environment data and provides it to the smart housing platform 250, and receives the data collected from the smart housing platform 250 to develop an analysis model and develop the smart housing platform A developer computer 230 registering at 250 and accessing the smart housing platform 250 to develop a service module based on the analysis model, the service user equipment 210 and the external residential data collection device 220 The smart housing that integrates and stores data collected from the developer computer 230, provides an analysis model and a service module development environment, and provides a smart home service to the service user equipment 210 based on the developed service module. It is configured to include a platform 250. The service user equipment 210, the residential external data collection device 220, the developer computer 230, and the smart housing platform 250 are connected through a network 240. It is preferable that a plurality of service user equipments 210, a plurality of residential external data collection devices 220, and a plurality of developer computers 230 are connected to the smart housing platform 250 to collect various data.

The service user equipment 210 is composed of a plurality of devices 211 and 212 and a home gateway 213 . The service user can register household and device information in the smart housing platform 250, apply for and request smart home services, and check execution results. Data obtained from the devices 211 and 212 according to the service user's service request is transferred to the smart housing platform 250 through the home gateway 213. The devices 211 and 212 may include home appliances, lighting devices, air conditioning and heating devices, security devices, actuators, sensors, energy meters, and the like. Data obtained from the devices 211 and 212 may include indoor environment information, resident characteristic information, and device state information.

The residential external data collection device 220 collects residential complex, city and external public data to which the household belongs. Data collected by the residential external data collection device 220 is public data of an apartment complex and a city, and may include energy information, distributed resource information, traffic information, water supply information, climate information, and the like.

The developer computer 230 is installed with an analysis model development engine. This analysis model development engine may be provided from the smart housing platform 250. The developer computer 230 receives the data within the household and the residential environment data outside the household collected from the smart housing platform 250, develops an analysis model, registers it in the smart housing platform 250, and registers the smart housing platform ( 250), develops a service module based on the analysis model, and registers it in the smart housing platform 250. Detailed configuration and operation of the developer computer 230 will be described later.

The smart housing platform 250 performs a connection function with the network 240 to collect household data from the service user equipment 210 and residential environment data from the residential external data collection device 220 and collect the service user equipment A platform gateway 251 for providing service modules to 210, and a data storage module 252 for storing integrated data incorporating the household data and residential environment data collected through the platform gateway 251; An analysis model storage module 254 for storing an analysis model developed based on the integrated data, a service logic development module 253 for developing a service logic based on the integrated data and the developed analysis model, and the development A service module management module 257 for verifying approved service logic and managing approved service modules, a service module storage module 256 for storing the approved service modules, and the service user equipment 210 according to a user's request. ) and an edge computing support module 255 that performs edge computing for .

The smart housing platform 250 may be implemented as a server system composed of server hardware for data storage, management, processing, and analysis, related service modules, and application software that executes them. The server system consists of a network server in charge of network and traffic control, analysis resource allocation, etc., a management server that operates and monitors users and devices, and an analysis server that performs service-related analysis, data processing, and service module management, and data management. It may include a database server.

The platform gateway 251 is preferably an open-connectivity integrated gateway (OC-IGW) having a multi-protocol conversion processing function, and through this, networking diversity of data sources can be accommodated.

3 is an operation flowchart of the data storage module of the smart housing platform according to the present invention.

The data storage module 252 collects data within the household from the service user equipment 210 and residential environment data from the residential external data collection device 220 in real time through the platform gateway 251 (S31), For the collected data, outliers and missing values are preprocessed (S32). The preprocessed data is stored (S33), the original data is stored (S34), and each data is integrated and managed as integrated data (S35). This integrated data is provided to the developer computer 230 and the service logic development module 253, respectively.

4 is an operational flowchart of the service logic development module of the smart housing platform according to the present invention.

The service logic development module 253 operates as shown in the technical flow chart shown in FIG. 4 and develops service logic based on the integrated data and analysis model.

First, the service logic development module 253 loads integrated data (S41) to check and verify available data.

Next, the service logic development module 253 designs service logic (S42) and establishes service input and output and service workflow.

Next, the service logic development module 253 calls the analysis model stored in the analysis model storage module 254 to execute the analysis function (S43). As will be described later, the analysis model includes an AI analysis model (prediction, inference, detection), an IFTTT analysis model, and a physical model, and the corresponding function is executed by calling the analysis model necessary for the service module.

Finally, the service logic development module 253 performs a service beta test (S44). Link integrated data and analysis functions to the designed service logic to review whether the designed service logic is normally implemented. The service logic that has passed the test is applied to the service module management module 257 for registration.

5 is a detailed configuration diagram of the analysis model storage module of the smart housing platform according to the present invention.

The analysis model storage module 254 stores the analysis model. This analysis model is developed on the developer's computer and delivered to the smart housing platform 250. To this end, an analysis model development engine is installed in the developer computer 230 . The analysis model stored in the analysis model storage module 254 includes at least one of the AI analysis model 51, the IFTTT analysis model 52, and the physical model 53. The AI analysis model may include an AI prediction model, an AI inference model, and an AI detection model, and is a model that predicts, infers, and detects each based on AI. The If This Then That (IFTTT) model is a rule-based model, and the physical model is an indoor environment and system state analysis model. The development process of each analysis model will be described later with reference to FIGS. 8 to 11 .

6 is an operation flowchart of the service module management module of the smart housing platform according to the present invention.

The service module management module 257 verifies, registers, and manages the service logic requested for registration in the service logic development module 253 .

First, the service module management module 257 verifies service logic validity (S61), reviewing service logic security and reviewing the possibility of occurrence of service logic errors.

Next, the service module management module 257 approves service registration for the service logic whose validity has been verified (S62), and grants service operation and management authority to the corresponding service developer.

Next, the service module management module 257 provides a function of signing an electronic contract with the corresponding service developer for integrated data use, service registration, and profit distribution (S63). This electronic contract signing is implemented based on blockchain technology.

Next, the service module management module 257 stores the approved service module in the service module storage module 256 (S64).

7 is a detailed configuration diagram of the service module storage module of the smart housing platform according to the present invention.

The service module storage module 256 classifies and stores developed service modules by category. Service modules are divided into four or more categories, such as residential comfort (71), residential convenience (72), residential safety (73), and maintenance (74), and are stored. The residential comfort category is a service that automatically controls the indoor heating environment and air quality, the residential convenience category is a service that supports the automatic control function of the smart window system and the variable wall function customized for residents, and the residential safety category is fire and abnormal situation detection It is a service of function, and the maintenance category is a service of encryption storage and management function of blockchain-based residential environment and maintenance data, and the service category can be expanded according to the manager.

When a service is requested from the service user equipment 210 , the service module stored in the service module storage module is provided to the service user equipment 210 . At this time, the edge computing support module 255 analyzes necessary to implement the service module and the service of the corresponding service module when rapid processing and response to user requests are required or when the service user equipment 210 has its own computing capability. The model is provided to the service user equipment 210 to process artificial intelligence calculations within the household and support edge computing functions to directly provide services to users.

8 is a block diagram showing a developer computer according to the present invention.

A developer computer according to the present invention includes a memory 810, a processor unit 820, and a plurality of peripheral devices. As the peripheral device, a communication unit 830, a monitor 840, an input unit 850, a camera 860, and a microphone 870 may be included.

The processor unit 820 includes a memory interface 821, one or more processors 822 and a peripheral device interface 823. In some cases, the entire processor unit is also referred to as a processor. The memory interface 821, one or more processors 822, and/or peripheral interface 823 may be separate components or integrated into one or more integrated circuits. The processor 822 executes various software programs to perform various functions, and executes a specific software module (instruction set) stored in the memory 810 to perform various functions corresponding to the module. A peripheral interface 823 connects various peripherals to the processor 822 and memory (via a memory interface) 810 .

The communication unit 830 connects the smart housing platform 250 and the developer computer 230 through a normal communication protocol. The monitor 840 includes a screen output device, and the input unit 850 includes a user input device such as a keyboard or mouse. The camera 860 is an image input device, and the microphone 870 includes an audio input device.

Memory 810 stores software programs. The software includes an operating system module 811, a communication module 822, a graphic module 823, a user interface module 814, and an analysis model development engine according to the present invention. This analysis model development engine includes an AI analysis model development module 815, an IFTTT analysis model development module 816, and a physical model development module 817. Since a module, which is a software component, can be expressed as a set of instructions, a module is sometimes expressed as a set of instructions or as a program.

The operating system module 811 includes various software components that control general system operations. For example, control of general system operation means memory management and control, storage hardware control and management, and power control and management. The operating system module 811 performs a function of facilitating communication between various hardware devices and software components. The communication module 812 enables communication with the smart housing platform through the communication unit 830. The graphic module 813 includes various software components for graphic display on the monitor 840 . The user interface module 814 includes various software components related to the user interface. This includes how the state of the user interface is changed or under what conditions the state of the user interface is changed.

The AI analysis model development module 815 receives integrated data from the smart housing platform 250 and develops an AI-based AI analysis model, and the developed AI analysis model is the analysis model storage module 254 of the smart housing platform 250 to be stored in The IFTTT analysis model development module 816 receives integrated data from the smart housing platform 250 to develop a logic-based IFTTT analysis model, and the developed IFTTT analysis model is stored in the analysis model storage module 254 of the smart housing platform 250. to be stored in The physical model development module 817 receives integrated data from the smart housing platform 250 to develop a physical model that analyzes the indoor environment and system state, and the developed physical model is an analysis model storage module of the smart housing platform 250. (254) to be stored.

9 is an operational flowchart of the AI analysis model development module of the developer computer according to the present invention.

The AI analysis model development module 815 preprocesses the integrated data (S91), normalizes the integrated data, and analyzes correlation.

Next, the AI analysis model development module 815 develops and optimizes the AI analysis model (S92), and optimizes input variables and model parameters through learning and verification for each model.

Next, the AI analysis model development module 815 verifies the analysis function (S93). To do this, we evaluate the accuracy of the model and update it to improve accuracy.

Next, the AI analysis model development module 815 provides the structure and learned parameters of the AI analysis model to the smart housing platform 250 to be stored (S94).

10 is an operational flowchart of the IFTTT analysis model development module of the developer computer according to the present invention.

The IFTTT analysis model development module 816 preprocesses the integrated data (S101), normalizes the integrated data and analyzes correlation.

Next, the IFTTT analysis model development module 816 designs IFTTT logic (S102) and verifies the validity of the designed IFTTT logic (S103). In the process, updates are made to improve accuracy.

Next, the IFTTT analysis model development module 816 converts the IFTTT logic into a function to generate an IFTTT analysis model, and provides the generated IFTTT analysis model to the smart housing platform 250 to be stored (S104).

11 is an operation flowchart of a physical model development module of a developer computer according to the present invention.

The physical model development module 817 preprocesses the integrated data (S111), normalizes the integrated data and analyzes correlation.

Next, the physical model development module 817 develops, corrects, and optimizes the physical model (S112).

Next, the physical model development module 817 evaluates and upgrades the accuracy of the physical model (S113), and provides the physical model to the smart housing platform 250 to be stored (S114).

12 is an operational flowchart illustrating a smart home service method according to the present invention.

The smart housing platform 250 collects, integrates, stores, and manages intra-household data and residential environment data from a plurality of service user equipment 210 and residential external data collection devices 220 (S121). The smart housing platform 250 builds and discloses this integrated data as a public data set, so that anyone can develop and register a service.

The developer connects to the smart housing platform 250 on his or her computer, installs the integrated data and analysis model development engine, runs the analysis model development engine to develop the analysis model, and uses the developed analysis model to the smart housing platform 250 save to As described above, the analysis model includes the AI analysis model, the IFTTT analysis model, and the physical model, and the development process of each analysis model is as shown in FIGS. 9 to 11.

The smart housing platform 250 provides a clouding computer environment so that developers can develop service modules by accessing the smart housing platform 250 using their own computers. The service module is developed through the service logic development module 253 and the service module management module 257 and stored in the service module storage module 256 (S123).

When a service request is received from the service user equipment 210 and necessary data is received (S124), the smart housing platform 250 converts the service module that executes the corresponding service and the analysis model necessary for the execution of the corresponding service module to the service user equipment 210. ), or the result value may be transmitted to the service user equipment by executing the corresponding service module based on cloud computing (S125). Alternatively, the smart housing platform may support edge computing for the corresponding service user equipment so that some analysis models and service modules are provided and executed in the service user equipment.

A specific case of smart home service for the residential comfort service supported by the smart housing platform according to the present invention will be described.

Through the smart home service according to the present invention, it is possible to provide a function of optimizing the power consumption of the air conditioner while maintaining the comfort of the indoor environment under conditions preferred by residents. For this purpose, the functions required in the service are as follows.

(1) Detection of presence and absence status

(2) Behavioral analysis to define occupant activity level

(3) Analysis of current thermal comfort

(4) Inference of thermal comfort preference conditions of residents based on collected data

(5) Prediction of indoor temperature and relative humidity according to changes in energy-con control variables such as indoor set temperature, operation mode, and air volume

(6) Prediction of power consumption according to air conditioner control variable change

As such, a plurality of detection, inference, prediction, and analysis are required in one service module. In the present invention, the analysis model of detection, reasoning, and prediction functions is implemented based on AI. Maintaining the thermal comfort preferred by residents is set as constraints, and minimizing air conditioner power consumption is used as the objective function, and the optimal solution of the control variable is determined by the exhaustive search method. .

To this end, the data required by each analysis model, such as indoor temperature, relative humidity, space image, and power consumption, are collected through the platform gateway through temperature and humidity sensors, IP cameras, smart meters, and IR sensors.

The above description of the present invention is for illustrative purposes, and those skilled in the art can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be construed as being included in the scope of the present invention. do.

210: service user equipment 211,212: device
213: home gateway 220: residential external data collection device
230: developer computer 240: network
250: smart housing platform 251: platform gateway
252: data storage module 253: service logic development module
254: analysis model adjustment module 255: edge computing support module
256: service module storage module 257: service module management module

Claims (20)

A platform gateway that collects data within the household from service user equipment by performing a connection function with the network;
A data storage module for storing integrated data including data within the household collected through the platform gateway;
An analysis model storage module for storing an analysis model developed based on the integrated data;
A service logic development module for developing a service logic based on the integrated data and the developed analysis model;
A service module management module for verifying and approving the validity of the developed service logic and managing the approved service module;
Including a service module storage module for storing the approved service module,
A smart housing platform, characterized in that for providing a smart home service to the service user equipment based on the approved service module.
The smart housing platform according to claim 1, further comprising an edge computing support module that performs edge computing on the service user equipment.
The smart housing platform according to claim 1, wherein the platform gateway is an open-connectivity integrated gateway (OC-IGW) having a multi-protocol conversion processing function.
The method of claim 1, wherein the platform gateway further collects residential environment data from a residential external data collection device, and the data storage module integrates the household data and the residential environment data and manages them as integrated data. smart housing platform.
The smart housing platform of claim 4, wherein the data storage module pre-processes outliers and missing values for the collected data within the household and the residential environment data, and stores and manages the pre-processed data and original data by integrating them. .
The smart housing platform according to claim 1, wherein the analysis model includes at least one of an AI analysis model, an IFTTT analysis model, and a physical model.
The smart housing platform according to claim 6, wherein the AI analysis model includes at least one of an AI prediction model, an AI inference model, and an AI detection model.
The smart housing platform according to claim 6, wherein the analysis model is developed and input in a developer computer in which an analysis model development engine is installed.
The smart housing platform according to claim 8, wherein the analysis model development engine includes at least one of an AI analysis model development module, an IFTTT analysis model development module, and a physical model development module.
The smart housing platform of claim 1, wherein the service module storage module classifies and stores the developed service modules into residential comfort, residential convenience, residential safety, and maintenance categories.
A first step in which the smart housing platform manages integrated data including intra-household data collected through the platform gateway;
A second step in which the smart housing platform stores an analysis model developed based on the integrated data;
A third step in which the smart housing platform develops a service logic based on the integrated data and the developed analysis model, verifies and approves the validity of the developed service logic, and manages approved service modules;
and a fourth step of providing, by the smart housing platform, a smart home service to the service user equipment based on the approved service module.
The smart home service method according to claim 11, wherein the fourth step performs edge computing on the service user equipment.
The smart home service method according to claim 11, wherein the platform gateway is an open-connectivity integrated gateway (OC-IGW) having a multi-protocol conversion processing function.
The smart home of claim 11, wherein the first step further collects residential environment data from a residential external data collection device, integrates the household data and the residential environment data, and manages the integrated data. service method.
The smart home of claim 14, wherein the first step preprocesses outliers and missing values for the collected intra-household data and the residential environment data, and integrates the preprocessed data and the original data to store and manage them. service method.
The smart home service method according to claim 11, wherein the analysis model includes at least one of an AI analysis model, an IFTTT analysis model, and a physical model.
The smart home service method according to claim 16, wherein the AI analysis model includes at least one of an AI prediction model, an AI inference model, and an AI detection model.
The smart home service method according to claim 16, wherein the analysis model is developed and inputted in a developer computer in which an analysis model development engine is installed.
The smart home service method according to claim 18, wherein the analysis model development engine includes at least one of an AI analysis model development module, an IFTTT analysis model development module, and a physical model development module.
The smart home service method according to claim 11, wherein the service module storage module classifies and stores the developed service modules into residential comfort, residential convenience, residential safety, and maintenance categories.

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