KR20140044015A - Method for providing personalized service using preference model based on context and apparatus thereof - Google Patents

Method for providing personalized service using preference model based on context and apparatus thereof Download PDF

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KR20140044015A
KR20140044015A KR1020120109884A KR20120109884A KR20140044015A KR 20140044015 A KR20140044015 A KR 20140044015A KR 1020120109884 A KR1020120109884 A KR 1020120109884A KR 20120109884 A KR20120109884 A KR 20120109884A KR 20140044015 A KR20140044015 A KR 20140044015A
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preference
service
information
model
context
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Korean (ko)
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이상근
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한국전자통신연구원
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Abstract

Disclosed is a technology about a method and an apparatus for providing a personalized service using a preference model based on context. A method for providing a personalized service includes the steps of collecting a context variable, which is information about a user and a surrounding environment of the user, and judging context by calculating complex context information corresponding to the context variable on the basis of a context model; calculating preference information corresponding to the complex context information on the basis of the preference model; and providing a personalized service corresponding to preference information. Therefore, the method can provide a service directly by selecting a service, content and an apparatus, etc. according to the personal preference and the complex context constituted differently according to a person, or can recommend a proper service or proper content to a user. [Reference numerals] (AA) Start; (BB,DD,FF) No; (CC,EE,GG) Yes; (HH) End; (S100) Collect a context variable; (S110) Judge context on the basis of a context model; (S120) Learned context?; (S130) Select a service on the basis of a service preference model; (S140) Provide content?; (S150) Is there one available device?; (S151) Select a device on the basis of device type preference; (S152) Set a device on the basis of device setting preference; (S160) Provide a service or content; (S170) Update a knowledge model

Description

Method for providing personalization service using context based preference model and device therefor {METHOD FOR PROVIDING PERSONALIZED SERVICE USING PREFERENCE MODEL BASED ON CONTEXT AND APPARATUS THEREOF}

The present invention relates to a personalized service, and more particularly, to a method and apparatus for providing a personalized service using a context-based preference model.

Recently, in the field of environment awareness system, the environment information is acquired through various sensor information and the recognition function of people, objects, and locations, and based on this, a predetermined service, task, or behavior is performed. Technology related to doing is being developed.

In addition, the environmental awareness system is being used in various mobile devices such as smart phones, intelligent space such as intelligent service robot and smart home.

In addition, in the field of a recommender system and various personalized service systems, various application technologies for providing appropriate information to a user based on preference information for each content or item have been developed.

However, in the field of environmental cognition, it is mainly developed for the improvement of various cognitive technologies, and in the case of utilizing the recognized information, it is often provided by interlocking a predetermined situation and a specific service accordingly. In other words, in the case of personalization service through environmental awareness, preference information on individual services is used, but most of them have a limitation in that they configure a preference model of a situation model and a personal profile separately and use it only in a limited range.

In addition, in the conventional personalized recommendation system using personal preference information, etc., the main purpose is to select and provide contents within a predetermined specific service, and it is limited to apply a complex preference for various services and contents related to each service. There is.

Thus, while the prior art can work effectively to achieve a defined range of objectives, the situational information and preference information can be broadly diversified, and the use of a model that expresses complex situations and preferences that link them together is insufficient. Is in.

An object of the present invention for solving the above problems is to provide a method for providing a personalized service using preference information based on a complex situation.

Another object of the present invention for solving the above problems is to provide an apparatus for providing a personalization service using preference information based on a complex situation.

According to an aspect of the present invention, there is provided a method of providing a personalization service, by collecting context variables that are information about a user and an environment around the user, and calculating complex context information corresponding to the context variables based on a context model. Determining a situation, calculating preference information corresponding to the complex situation information based on the preference model, and providing a personalization service corresponding to the preference information.

Here, the personalization service providing method may further include updating the situation model and the preference model by using the information 30 on the provided personalization service.

Here, the step of determining the situation may be determined as the basic situation when the complex situation information corresponding to the situation variable cannot be calculated.

Here, the situation variable may include identification information and location information about a user, a surrounding object, a service providing device.

Here, the calculating of the preference information may calculate preference information including service preference, content preference, and device preference corresponding to the complex context information based on the preference model.

The calculating of the preference information may include calculating a service preference corresponding to the complex context information based on the service preference model, and based on the content preference model when the service according to the service preference is required. Calculating content preferences corresponding to the complex context information and service preferences; and calculating device preferences corresponding to the complex context information and service preferences based on the device preference model.

Here, the device preference may include information on a preference for a type of a device providing a service and a preference on a setting of the device.

Here, in the providing of the personalized service, a service or content corresponding to service preference and content preference may be provided through a device corresponding to device preference.

An apparatus for providing personalization service according to another aspect of the present invention for achieving the above object includes a situation information management unit for collecting a situation variable, which is information about a user and an environment around the user, and a complex situation corresponding to the situation variable based on a situation model. It includes a knowledge information management unit for calculating the information to determine the situation, and calculates the preference information corresponding to the complex context information based on the preference model, and a service provider for providing a personalized service corresponding to the preference information.

In the case of using the method and apparatus for providing a personalized service according to the embodiment of the present invention as described above, the system selects a service, a content, a device, etc. according to a complex situation and individual preference configured differently for each individual to perform a service directly or A service or content can be recommended to the user.

In addition, the terminal may be applied to a terminal such as a smartphone, an intelligent service robot, an intelligent space, and a smart home to more effectively provide a service or content.

1 is a conceptual diagram illustrating a personalization service providing method according to an embodiment of the present invention.
2 is a simplified flowchart of a personalization service providing method according to an embodiment of the present invention.
3 is a flowchart illustrating a personalization service providing method according to an embodiment of the present invention.
4 is a block diagram showing the configuration of a personalization service providing apparatus according to an embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.

The terms first, second, A, B, etc. may be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

When a component is referred to as being "connected" or "connected" to another component, it may be directly connected to or connected to that other component, but it may be understood that other components may be present in between. Should be. On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, the terms "comprise" or "having" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram illustrating a personalization service providing method according to an embodiment of the present invention, and FIG. 2 is a brief flowchart of a personalization service providing method according to an embodiment of the present invention.

1 and 2, in the personalization service providing method according to an exemplary embodiment of the present invention, the complex situation information 10 is largely collected to determine a situation (S10), service selection (S20), content selection (S30), It consists of a process of selecting a service performing device (S40), each of which is performed through a preference model based on a complex situation, which is the center of the present invention.

1 is a conceptual diagram illustrating a personalization service providing method according to an embodiment of the present invention, centered on a preference model based on a complex situation.

Here, the arrow may not indicate the direction of the information flow in the implementation, but may indicate a relationship between each unit information. .

First, the calculation of the composite contextual information 10 according to the context model is as follows (S10).

The complex context information 10 may be defined as a combination of identification information and location information of a user recognized through various input devices or recognition modules, objects around the user, and the like.

In other words, the composite situation

Context = <user, location, object>

A user (User / User Group), which is the first situation variable for defining a situation, may mean a user recognized at the present time, and this may be defined separately from individual users and group users according to the implementation purpose and scope. That is, the user may mean user identification information.

Location, a second context variable, may include location of a user, location of surrounding objects of the user, and location of a device providing a service.

The third situation variable, an object, refers to a single or multiple objects located around a user that can be recognized by the system, and may mean identification information of the object.

According to an exemplary embodiment, the situation model may be extended or reduced by omitting location information or object information or by adding sensor information such as time, temperature, and illumination, which are information on the surrounding environment.

In addition, various methods may be applied to the specific recognition method for each situation information, and the present invention is not particularly limited.

For example, a method for user recognition may include direct input through a keyboard, mouse, or touch pad, recognition through RFID or tag, biometric information such as fingerprint recognition, or a specific keyword in speech. Speaker recognition through a voice, a face or body, a feature of a posture or an operation, or a recognition method through a camera vision for recognizing a predetermined gesture may be applied.

Each situation defined by the context variables is not defined and interpreted as a representative situation such as studying, resting, etc., but rather a complex situation, such as a situation where a user is sitting at a desk in a room with books and notes on the desk. Can be defined. That is, the complex contextual information 10 corresponding to the context variables may be calculated.

Through this, the personalization service providing apparatus according to the present invention may recognize the surrounding environment as it is and provide a detailed adaptation service accordingly.

In addition, in order to facilitate the learning of personal preferences according to the situation or for the purpose of implementation, these individual contexts may belong to a context group, and the context group may be a person such as studying, resting, or the like. This may represent a representative situation or a prototype of the situation.

Here, whether a situation belongs to which situation group may be determined according to a conditional reasoning rule included in the definition of the situation group. That is, the complex situation shown in the above example may belong to a situation group such as 'under study' or 'reading' according to the situation variables including information on the user, the location, and the object, and the rules including the situation variables.

Next, the preference information 20 is calculated as follows.

Preference may indicate a preference of a service, content, or device according to a user's situation. Here, the user may be a user group instead of an individual user, and the situations may also be situation groups instead of individual situations. Thus, preferences can be defined as preferences for user groups or representative situations.

That is, the preference information 20,

Preference (Preference) can be expressed as <User, Context, Service Preference, Content Preference, Device Preference>.

Preference may be defined according to a user or a user group, and according to a situation or a situation group, and may be represented as a service preference, a contents preference, a device preference, or the like.

The service preference may be information indicating what service a particular user wants to receive in a given situation. That is, the service preference may indicate a kind of service preferred by an individual or a situation.

For example, if the user's location is a living room and the recognized surrounding object is a coffee mug, for some users it may be appropriate to provide a TV or movie service, while for others the user may prefer to listen to music in the same situation. It may be.

The service preference may include preference information 20 for a complex service as well as a single service according to a service and device configuration to be implemented. That is, the case of performing a plurality of services at the same time is a complex service.

For example, there may be a case where a user receives an 'e-book' service and a 'music' service at the same time, that is, a user wants to read and listen to music.

Therefore, the service may be selected based on the service preference (S20).

In other words, service preference,

It can be expressed as Service Preference = <Service, Preference Value>. Therefore, a service having a high preference value may be selected as a provided service.

Content Preference is information about user, situation, and favorite content (music, movie, book, news, broadcast, etc.), preference information 20 for individual content, and specific content category / group / type. May include preference information 20 for.

Therefore, according to the exemplary embodiment, various categories such as genre, person (author, composer, songwriter, singer, actor, director, etc.), content generation region, and time of content creation are determined by preference as well as preference for individual content. Information 20 can be utilized. In addition, the content may be connected to the service to select the content according to the content preference among the contents determined according to the type of the service, and may not select the content when the type of the service does not need to provide the content.

In other words, your content preference is

Content preference = can be expressed as <service, content / content group, preference value>. Therefore, content with high preference value may be selected as provided content (S30).

The device preference indicates preference information of the service providing device and may include device type preference and device setting preference.

Device type preference is information indicating preference information of each device according to a user and a situation when there are several devices that can provide the same type of service in a system in which several devices are linked.

In addition, the device setting preference includes controllable setting information for each device. In the example of providing a 'movie watching' service, the device setting preference may include preference information on settings such as brightness, size, resolution, and sound volume of the screen. have.

For example, in an embodiment in which a projector, a TV, a smartphone, or the like is linked, the performance of the 'movie watching' service may be performed through all three devices.

In other words, device preference

It can be expressed as <device preference = service, device, device setting, and preference value>. Therefore, the service performing device may be determined according to the device preference according to the user and the situation (S40).

Accordingly, the present invention proposes a complex context model through a user, an object, location information, and a personal and context preference model for a service, content, and device, and provides a service providing method and process using the same. Through the present invention, a set of events composed of the same context information may also be understood as a different kind of complex context according to the user. Therefore, even under the same conditions, the system may recognize different types of situations according to users and provide different services and contents accordingly.

In addition, it is possible to find and provide an optimal service and content in various scenarios, such as providing a more appropriate service or content even for the same user.

3 is a flowchart illustrating a personalization service providing method according to an embodiment of the present invention.

Referring to FIG. 3, in the personalization service providing method according to an exemplary embodiment of the present invention, calculating the complex situation information 10 to determine a situation, calculating preference information 20, and providing a personalization service. It may include. The method may further include updating the situation model and the preference model.

The situation variable may be determined by collecting context variables that are information about the user and the environment around the user (S100), and calculating complex context information 10 corresponding to the context variables based on the context model (S110).

It may be determined whether the situation determined according to the complex situation information 10 is a situation that has already been learned in the situation model (S120). That is, when the determined situation is not a situation that has already been learned in the situation model, it may be determined as the basic situation.

For example, if a situation variable for context awareness is incomplete and not already learned, or in an initial state where preference learning is not available, instead of stopping the process and requesting additional information such as user input, You can define default values for each item and use it to apply to incomplete or unlearned items.

If the situation variables for context awareness are incomplete (for example, location information and object information are verified but not yet registered and the user information is not recognized), the incomplete situation variables are replaced with default values and the other situation variables The situation can be determined through the combination of. Here, the context variable may include identification information and location information about a user, a surrounding object, and a service providing device.

In addition, in the situation where the situation information is not recognized at all, the situation may be determined by setting all the situation variables to the default value (the basic situation) (S121). This case can be seen similarly to the case of providing a service or content with only a preference without considering situational awareness. That is, when the composite contextual information 10 corresponding to the context variable cannot be calculated, it may be determined as the basic context.

Similarly, the basic service preference, the basic content preference, and the basic device preference information are defined for the preference information 20, respectively, so that a specific item of the context information or the preference information 20 is empty or not learned, service or content or Even when a device is newly added, it is possible to provide the most appropriate service or content.

The preference information 20 corresponding to the complex context information 10 may be calculated based on the preference model. Based on the preference model, preference information 20 including service preference, content preference, and device preference corresponding to the complex context information 10 may be calculated. Here, the preference model is a model that has already been learned and means information on user's preference, and may include a service preference model, a content preference model, a device preference model, and the like.

In detail, the service preference corresponding to the complex context information 10 may be calculated based on the service preference model. The service may be selected using the service preference based on the service preference model (S130). In addition, reference may be made to information about available devices in selecting a service.

It is possible to check whether the selected service needs to provide the content (S140). That is, after the service is selected, it is determined whether the service is a service related to providing content (for example, providing music or a movie) or a service performed only by controlling the device without content (for example, adjusting room lighting, etc.). Can be.

When the service according to the service preference requires the content, the content preference corresponding to the complex context information 10 and the service preference may be calculated based on the content preference model. Therefore, when the content is required to be provided, the content may be selected using the content preference based on the content preference model (S141).

It is possible to check whether there is an available device or whether there is one available device (S150). If there is one available device, the state of the corresponding device may be set based on the device setting preferences (S152). If more than one device is available, the device may be selected based on the device type preference (S151). In addition, the state of the device selected based on the device type preference may be set based on the device setting preference (S152).

In operation S160, a service or content corresponding to the service preference and the content preference may be provided through a device corresponding to the device preference. That is, the performance of the service may include both a method of performing the service immediately without user intervention and a method of asking the user whether to perform the service. The above-described service selection, content selection, and device selection processes are also automatically selected according to the implementation method, a method of confirming the user after selection, or a list of possible services, contents, devices, etc. in order of preference. Methods and the like.

In addition, the situation model and the preference model may be updated using the information 30 on the provided personalization service (S170). For example, the context model or the preference model may be updated by using information about a service or content provided through a specific device for each user and context. That is, the knowledge model composed of the situation model and the preference model may be updated to be used when providing the next service.

4 is a block diagram showing the configuration of a personalization service providing apparatus according to an embodiment of the present invention.

Referring to FIG. 4, the personalization service providing apparatus according to an exemplary embodiment of the present invention includes a context information management unit 100, a knowledge information management unit 200, and a service providing unit 300.

The contextual information management unit 100 may collect contextual variables that are information about the user and the environment around the user.

The context information manager 100 may include a user recognizer 110 that recognizes a user, an object recognizer 120 that recognizes objects around a user, and a location recognizer 130 that recognizes a location of a user, an object, or a device. Include. In addition, the contextual information management unit 100 may include a device recognition unit 140 capable of recognizing a device.

The knowledge information management unit 200 may determine the situation by calculating the complex situation information 10 corresponding to the situation variable based on the situation model. In addition, the contextual information management unit 100 may determine the basic context when the complex contextual information 10 corresponding to the context variable cannot be calculated.

In addition, the knowledge information manager 200 may calculate the preference information 20 corresponding to the complex context information 10 based on the preference model. That is, the knowledge information manager 200 may calculate the preference information 20 including the service preference, the content preference, and the device preference corresponding to the complex context information 10 based on the preference model.

The knowledge information management unit 200 includes an event processor 210, a context information processor 220, a preference processor 230, a content processor 240, and a knowledge information storage 250.

The event processor 210 determines whether the current situation information is an event for creating a new situation or an event for updating an existing situation, and transmits the information to the situation information processor 220. In addition, when the service is finished, the event processing unit 210 may receive the service ending event and transmit information necessary for updating the knowledge model to the situation information processing unit 220 and the preference processing unit 230.

The contextual information processing unit 220 may manage and update the contextual model of the knowledge base, and determine the current situation through the collected contextual information.

The preference processor 230 calculates a service preference corresponding to the complex context information 10 based on the service preference model, and when the service according to the service preference requires content, the complex context information 10 based on the content preference model 10. ) And content preferences corresponding to service preferences, and device preferences corresponding to the complex context information 10 and service preferences may be calculated based on the device preference model. In addition, the preference processor 230 may manage and update the preference model.

The content processor 240 may manage content, search for content according to circumstances and preferences, and the like.

The knowledge information storage unit 250 may store various information such as user information, device information, a situation model and a preference model, and an ontology in which semantic relationships between them are defined. In addition, the knowledge information storage unit 250 may store content data.

Finally, the service provider 300 may provide a service or content corresponding to the service preference and the content preference through the device corresponding to the device preference.

The service provider 300 may include a service selector 310, a content selector 320, a device selector 330, and a device controller 340. The service selector 310 selects a service to be provided with reference to the service preference, the content selector 320 selects content to be provided with reference to the content preference, and the device selector 330 refers to the device preference. A device for providing a service or content may be selected. In addition, the device controller 340 controls the selected device to provide a service or content.

The method and apparatus for providing personalization service according to the embodiment of the present invention described above may configure a complex situation model through collected user information, surrounding object information, and location information. In addition, the user may provide personalized services and contents for each user through a preferred device. Through this, the system may select a service, content, device, etc. according to a complex situation and preferences configured for each individual to directly perform a service or recommend appropriate contents to a user. In particular, it can be applied to a terminal such as a smart phone, an intelligent service robot, an intelligent space, and a smart home to more effectively provide a service or content.

In addition, the present invention is not limited to providing a service or content stored in a specific terminal or system more effectively, and may provide various services or contents by interworking with devices through mutual interworking of different systems developed by applying the technology according to the present invention. Can be.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the present invention as defined by the following claims It can be understood that

100: context information management unit 110: user recognition unit
120: object recognition unit 130: location recognition unit
140: device recognition unit 200: knowledge information management unit
210: event processing unit 220: situation information processing unit
230: preference processing unit 240: content processing unit
250: knowledge information storage unit 300: service provider
310: service selection unit 320: content selection unit
330: device selection unit 340: device control unit

Claims (14)

Collecting a situation variable that is information about a user and an environment surrounding the user, and determining a situation by calculating complex context information corresponding to the situation variable based on a context model;
Calculating preference information corresponding to the complex context information based on a preference model; And
Providing a personalization service corresponding to the preference information. The method according to claim 1,
Updating the situation model and the preference model by using the information on the personalization service provided. The method of claim 1, wherein the determining of the situation comprises:
And when it is impossible to calculate the composite contextual information corresponding to the contextual variable, determining as a basic context. The method according to claim 1, wherein the situation variable,
Personalization service providing method comprising the identification information and location information for the user, surrounding objects, the service providing device. The method of claim 1, wherein the calculating of the preference information comprises:
And calculating the preference information including the service preference, the content preference, and the device preference corresponding to the complex context information based on the preference model. The method of claim 5, wherein the calculating of the preference information comprises:
Calculating the service preference corresponding to the complex context information based on a service preference model;
Calculating a content preference corresponding to the complex context information and the service preference based on a content preference model when a service according to the service preference requires content; And
Calculating a device preference corresponding to the complex context information and the service preference based on a device preference model. The method according to claim 6, wherein the device preference,
Personalized service providing method comprising the information on the preference for the type of the device providing the service and the preference of the device. The method of claim 5, wherein providing the personalization service,
And providing a service or content corresponding to the service preference and the content preference respectively through a device corresponding to the device preference. A context information manager configured to collect context variables that are information about the user and the environment surrounding the user;
A knowledge information manager configured to calculate complex context information corresponding to the context variable based on a context model, and determine preferences and calculate preference information corresponding to the complex context information based on a preference model; And
Personalization service providing apparatus comprising a service provider for providing a personalization service corresponding to the preference information. The method according to claim 9, wherein the knowledge information management unit,
And if it is impossible to calculate the complex contextual information corresponding to the contextual variable, the personalized service providing apparatus, characterized in that it is determined as a basic context. The method according to claim 9, wherein the knowledge information management unit,
And the preference information including the service preference, the content preference, and the device preference corresponding to the complex context information based on the preference model. The method according to claim 11, wherein the knowledge information management unit,
The service preference corresponding to the complex context information is calculated based on a service preference model, and when a service according to the service preference requires content, the service preference model corresponds to the complex context information and the service preference based on a content preference model. And calculating a device preference corresponding to the content preference and calculating a device preference corresponding to the complex context information and the service preference based on a device preference model. The method according to claim 9, wherein the knowledge information management unit,
And the situation model and the preference model are updated using information on the provided personalization service. The method of claim 11, wherein the service providing unit,
And providing a service or content corresponding to the service preference and the content preference respectively through a device corresponding to the device preference.
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US10521514B2 (en) 2015-07-16 2019-12-31 Samsung Electronics Co., Ltd. Interest notification apparatus and method
US11061958B2 (en) 2019-11-14 2021-07-13 Jetblue Airways Corporation Systems and method of generating custom messages based on rule-based database queries in a cloud platform
CN113552810A (en) * 2021-06-16 2021-10-26 舌尖科技(北京)有限公司 Intelligent equipment control system and method, corresponding multifunctional cabin and storage medium
KR20220089638A (en) * 2020-12-21 2022-06-28 충북대학교 산학협력단 Preference calculation system and method through personal information management

Cited By (6)

* Cited by examiner, † Cited by third party
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WO2016159484A1 (en) * 2015-04-02 2016-10-06 한국과학기술원 Method and apparatus for sharing personalized content using user information of mobile terminal
US10521514B2 (en) 2015-07-16 2019-12-31 Samsung Electronics Co., Ltd. Interest notification apparatus and method
US11061958B2 (en) 2019-11-14 2021-07-13 Jetblue Airways Corporation Systems and method of generating custom messages based on rule-based database queries in a cloud platform
US11947592B2 (en) 2019-11-14 2024-04-02 Jetblue Airways Corporation Systems and method of generating custom messages based on rule-based database queries in a cloud platform
KR20220089638A (en) * 2020-12-21 2022-06-28 충북대학교 산학협력단 Preference calculation system and method through personal information management
CN113552810A (en) * 2021-06-16 2021-10-26 舌尖科技(北京)有限公司 Intelligent equipment control system and method, corresponding multifunctional cabin and storage medium

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