KR20240063308A - Method of managing artificial intelligence model marketplace platform by using edge device with wasted device - Google Patents

Abstract

The present invention includes a donation intention information transmission step (S100), a needs information securing step (S110), a planning design information transmission step (S120), an AI model creation step (S130), an AI model verification step (S140), and an edge device provision step. (S145), AI model execution step (S150), AI model prediction result data transmission step (S160), alarm information transmission step (S170), and waste device benefit information transmission step (S185), including waste device (160) We disclose an AI model marketplace platform operation method that recycles waste devices into edge devices, which solves environmental problems by recycling them as edge devices 140 and efficiently manages and operates stores through AI models.

Description

How to operate an AI model marketplace platform that recycles waste devices into edge devices {METHOD OF MANAGING ARTIFICIAL INTELLIGENCE MODEL MARKETPLACE PLATFORM BY USING EDGE DEVICE WITH WASTED DEVICE}

The present invention relates to a method of operating an AI model marketplace platform that recycles waste devices into edge devices, which solves environmental problems and efficiently manages and operates stores through AI models.

Recently, edge computing technology, which transmits data using edge servers, is becoming active.

That is, edge computing technology may include MEC (Multi-access Edge Computing) or fog computing (FOC), and may be installed in a location geographically close to the electronic device, for example, inside or near a base station. It refers to a technology that provides data to electronic devices through an edge data network or MEC server.

For example, among at least one application installed on an electronic device, an application that requires low latency may transmit and receive data through an edge server installed in a geographically close location, rather than through a server located in an external data network. .

By utilizing such edge computing technology, we would like to present a technology that can efficiently manage and operate stores through an AI model while solving environmental problems by recycling waste devices into edge devices.

Korean Patent Publication No. 10-2022-0037617 (Video processing method and device using edge computing service, 2022.03.05) Korean Patent Publication No. 10-2022-0074335 (Apparatus and method for counting objects by type using artificial intelligence-based edge computing, 2022.06.03)

The technical task to be achieved by the idea of the present invention is to solve environmental problems by recycling waste devices as edge devices, efficiently manage and operate stores through an AI model, and provide benefits according to donations of waste devices. The goal is to provide a method of operating an AI model marketplace platform that can promote recycling of end-of-life devices and recycle them into edge devices.

In order to achieve the above-described object, an embodiment of the present invention includes the steps of transmitting donation intention information of a waste device equipped with a sensor from a consumer terminal of a potential customer for a small business operation store to a marketplace platform; performing a survey to secure needs information including the client's requirements and needs from the client terminal to the marketplace platform; Analyzing the needs information in the marketplace platform, performing planning and design of an AI model to solve the needs, and transmitting the needs information and planning design information to an AI model provider terminal; The AI model provider terminal builds a learning data set based on the planning and design information, creates an AI model that performs formalization, text identification, image recognition, video recognition, object detection, prediction, maintenance, and recommendation, Transferring to the marketplace platform; Evaluating and verifying the AI model according to testing standards preset in the marketplace platform; According to the AI model subscription contract information, the end-of-life device with a rebuilt platform OS that interfaces with the small business terminal and performs edge computing of the AI model, including the edge analysis module and edge IoT module, is provided as the edge device of the store. step; Downloading the AI model that passed the test criteria from the marketplace platform and executing it on the edge device; Transmitting prediction result data of the AI model executed on the edge device to the marketplace platform; The marketplace platform analyzing the prediction result data and transmitting statistical data and alarm information to the small business terminal; And after confirming the AI performance of the edge device according to the analysis of the prediction result data by the marketplace platform, the marketplace platform provides gift certificates, points, or discounts available at the store corresponding to the value of the waste device to the consumer terminal. Provides a method of operating an AI model marketplace platform that recycles end-of-life devices into edge devices, including the step of transmitting benefit information.

Here, the marketplace platform may charge a subscription fee for the AI model subscription contract information depending on the amount of use of the AI model in the edge device.

In addition, the edge device analyzes the behavioral patterns of consumers who visit the store using data collected from the sensor and data collected from IoT sensors linked with the edge device as input data to the AI model to derive prediction results. You can create a report.

Additionally, the marketplace platform may provide gift certificates, points, or discount benefit information corresponding to a specific percentage of the subscription fee of the AI model subscription contract information to the consumer terminal.

In addition, the marketplace platform performs a performance test of the waste device through a device performance test module, deletes personal information, sets a recycling level, and determines the gift certificate amount, number of points, or discount benefit rate information according to the recycling level. You can.

In addition, the marketplace platform may further include feeding back consulting information to the small business terminal according to the results of the survey.

In addition, the marketplace platform performs evaluation and verification of the AI model or analysis of prediction result data of the AI model and feeds it back to the AI model provider terminal to perform version management, error correction, and updating of the AI model. It may further include ;.

In addition, the planning and design information may include the background and necessity of the need, the goal, promotion direction and improvement direction of the AI model, the implementation plan of the need, statistical data related to the need, required functions and expected effects.

In addition, it may further include the step of the marketplace platform analyzing subscriber information of the small business terminal and matching and recommending an AI model suitable for the environment or situation in which the edge device is deployed.

Additionally, the marketplace platform can encrypt and store the AI model subscription contract information and the subscriber information based on blockchain.

Additionally, the learning data set may be data collected by the sensor of the edge device and provided to the marketplace platform.

In addition, the AI model provider terminal can construct the learning data set by extracting and processing actual data related to the planning and design information from a cloud server where big data is collected and stored, and labeling the data.

In addition, the AI model provider terminal, through the GAN model, generates similar fictional data that is likely to actually be more than a certain probability from real data associated with the planning and design information extracted from the cloud server, and combines the real data and the fictional data. The learning dataset can be constructed by refining and labeling the data.

In addition, the AI model is used for autonomous driving, flight of industrial and military drones, smart factories, smart production lines, smart farms, smart cities, industrial robots, industrial Internet of Things, manufacturing, franchise, distribution, logistics, public safety, security, and mobility. , can be an AI model that performs stereotyping, text identification, image recognition, video recognition, object detection, prediction, maintenance, and recommendation for medical, healthcare, education, or advertising.

In addition, the AI model is downloaded and executed on the first to Nth edge devices, respectively, and the AI model is generated by averaging the weights, bias values, and gradient values transmitted from the first to Nth edge devices to the marketplace platform, respectively. It may be a joint model that updates .

According to the present invention, it is possible to solve environmental problems by recycling waste devices as edge devices, efficiently manage and operate stores through an AI model, and promote recycling of waste devices by providing benefits according to donations of waste devices. There is an effect.

Additionally, if the donor is a company, it has the effect of providing weight to ESG evaluation.

Furthermore, by establishing a subscription platform related to AI model transactions between small business owners and AI model providers, AI models that meet the needs of the environment and small business owners are customized and provided through surveys, and predictions are made through edge computing on edge devices. It is effective in providing results in real time and maintaining security.

Figure 1 shows a flow chart of an AI model marketplace platform operation method for recycling waste devices into edge devices according to an embodiment of the present invention.
Figure 2 illustrates the detailed flow chart of Figure 1.
Figure 3 illustrates an implementation diagram of an AI model marketplace platform operation method that recycles the waste device of Figure 1 into an edge device.

Hereinafter, embodiments of the present invention having the above-described features will be described in more detail with reference to the attached drawings.

The method of operating an AI model marketplace platform that recycles waste devices into edge devices according to an embodiment of the present invention includes a donation intention information transmission step (S100), a needs information securing step (S110), a planning and design information transmission step (S120), AI model creation step (S130), AI model verification step (S140), edge device provision step (S145), AI model execution step (S150), AI model prediction result data transmission step (S160), alarm information transmission step (S170) , and the waste device benefit information transmission step (S185), the point is to efficiently manage and operate the store through an AI model while reusing the waste device 160 as an edge device 140 to solve environmental problems. do.

Hereinafter, with reference to FIGS. 1 to 3, the operation method of the small business support AI model marketplace platform 120 that recycles the waste device 160 of the above-described configuration as an edge device will be described in detail as follows.

First, in the donation intention information transmission step (S100), the donation intention information of the waste device 160 equipped with a sensor is transmitted from the consumer terminal 150 of a potential customer for a small business operation store to the marketplace platform 120.

Here, the waste device 160 may be operable after repair, may be an old device, or may be an unnecessary device due to low utilization by potential customers, and may be donated to the marketplace platform 120 and paid a certain price, so that it is not disposed of but is stored at the edge. Environmental problems can be minimized by recycling with the device 140.

Afterwards, in the needs information securing step (S110), a survey sheet is sent from the marketplace platform 120 to the small business terminal 110 belonging to the user who wants to use the AI model to conduct a survey on requirements and necessities. By performing it repeatedly or continuously, needs information including the requirements and needs of small business owners is transmitted and secured from the small business terminal 110 to the marketplace platform 120.

Thereafter, in the planning and design information transmission step (S120), the marketplace platform 120 analyzes the needs information, performs planning and design of an AI model to solve the needs, and sends the needs information and information to the AI model provider terminal 130. Send planning and design information.

Here, the planning and design information may include the background and necessity of the need, the goal, promotion direction and improvement direction of the AI model, the action plan of the need, statistical data related to the need, required functions and expected effects.

Meanwhile, the marketplace platform 120 may analyze the survey response results and feed back consulting information to the small business terminal 110 to derive detailed response results to create an AI model.

In addition, AI models that reflect needs include autonomous driving, flight of industrial and military drones, smart factory, smart production line, smart farm, smart city, industrial robots, industrial Internet of Things, manufacturing, franchise, distribution, logistics, security, etc. It can be an AI model that performs stereotyping, text identification, image recognition, video recognition, object detection, prediction, maintenance, and recommendation for security, mobility, medicine, healthcare, education, or advertising.

Additionally, planning design information may include data design, process design, UI menu, function design, etc.

Afterwards, in the AI model creation step (S130), the AI model provider terminal 130 selects an AI model that satisfies the needs using planning and design information as a guideline, and directly builds a learning dataset for learning the AI model. Alternatively, an AI model that predicts results targeting needs such as canonicalization, text identification, image recognition, image recognition, object detection, prediction, maintenance, and recommendation using the learning data set provided by the marketplace platform 120. is created and transmitted to the marketplace platform 120.

Here, the learning data set for creating the AI model may be actual data collected by the sensor of the edge device 140 and provided to the marketplace platform 120, and the AI model provider terminal 130 collects big data. You can construct a learning dataset by extracting raw data of actual data related to planning and design information from a stored cloud server, processing the raw data into data necessary for creating an AI model, and labeling the data.

Alternatively, since the amount of actual data provided from the sensor of the edge device 140 is relatively small and the prediction performance of the AI model is low, the AI model provider terminal 130 receives information from the cloud server through a GAN (Generative Adversarial Network) model. The predictive performance of the AI model can be improved by generating similar fictional data that is more likely to exist in reality than a certain probability from real data related to the extracted planning and design information, refining the real data and fictional data, and constructing a learning data set by labeling the data. there is.

Meanwhile, the AI model is downloaded and executed on the first to Nth edge devices 140, respectively, and the weight, bias value, and gradient value transmitted from the first to Nth edge devices 140 to the marketplace platform 120, respectively. It may be a joint model that updates the AI model with the average value.

Thereafter, in the AI model verification step (S140), the previously created AI model can be evaluated and verified according to the test criteria preset in the marketplace platform 120 to determine whether needs are met and whether planning and design information is complied with. there is.

Thereafter, in the edge device provision step (S145), it is linked with the small business terminal 110 according to the AI model subscription contract information concluded between the small business terminal 110 and the marketplace platform 120, according to the AI model subscription contract information. An edge device 140 equipped with a sensor and performing edge computing of an AI model, including an edge analysis module and an edge IoT module, and predicting the results is provided as the edge device 140 of the store.

Here, the edge analysis module and edge IoT module configure the edge agent, the edge analysis module runs the AI model, the edge IoT module can manage the measured values detected from the sensor, and edge management manages the edge device (140 ) can be managed.

In addition, the marketplace platform 120 can encrypt and store AI model subscription contract information and subscriber information based on blockchain to prevent information leakage due to cyber risks such as hacking.

Thereafter, in the AI model execution step (S150), as illustrated in FIG. 3, the AI model that passed the previous test criteria is directly transmitted from the marketplace platform 120 to the edge device 140 to be executed, or The AI model transmitted from the platform 120 to the small business terminal 110 is downloaded and executed.

In addition, when installing or executing an AI model on the small business terminal 110, it can be installed or executed after receiving a license consisting of a string containing unique numbers and letters transmitted from the marketplace platform 120.

In addition, the edge device 140 analyzes the behavioral patterns of consumers who visit the store in real time using data collected from sensors and data collected from IoT sensors linked with the edge device 140 as input data for the AI model. You can derive forecast results and create a report so that the store manager can refer to the report.

For example, the sensor may be a camera, microphone, GPS, etc., and the IoT sensor may be the store's CCTV, etc., and the edge device 140 analyzes input data to identify suspicious behavior of consumers, unauthorized occupancy, disturbance, and property damage. Thus, a report can be transmitted to the small business terminal 110 so that immediate action can be taken.

Thereafter, in the AI model prediction result data transmission step (S160), the prediction result data of the AI model executed on the edge device 140 is transmitted to the marketplace platform 120.

Thereafter, in the alarm information transmission step (S170), the marketplace platform 120 analyzes the prediction result data, generates statistical data and alarm information, and transmits them to the small business terminal 110, so that the prediction result that exceeds the preset prediction value is sent to the small business terminal 110. You can react and deal with it quickly.

Here, as mentioned earlier, alarm information may be transmitted from the marketplace platform 120 to the small business terminal 110, but as illustrated in FIG. 3, due to the characteristics of edge computing, the prediction result is not transmitted from the edge device 140. Data can be analyzed and alarm information can be provided directly to the small business terminal 110 to enable quick response.

Meanwhile, the marketplace platform 120 performs evaluation and verification of the AI model or analysis of the prediction result data of the AI model, and feeds it back to the AI model provider terminal 130 to perform version management, error correction, and update of the AI model. By further including the step (S180), management of the AI model may be performed periodically.

Here, version management can use the Git-based version management tool provided by the marketplace platform 120.

Thereafter, in the end-of-life device benefit information transmission step (S185), after confirming the AI performance of the edge device 140 according to the prediction result data analysis by the marketplace platform 120, the marketplace platform 120 sends the consumer terminal 150 Donation activities of the waste device 160 by transmitting gift certificates, points or discount benefit information available at the store corresponding to the value of the waste device 160, and providing consumers with benefits according to the donation of the waste device 160 can activate and promote sales and consumption of store products.

Here, the marketplace platform 120 may provide gift certificates, points, or discount benefit information corresponding to a specific percentage, for example, 20%, of the subscription fee of the AI model subscription contract information to the consumer terminal 150.

In addition, the marketplace platform 120 performs a performance test of the waste device 160 through a device performance test module such as Mintit, deletes personal information of the waste device 160, sets a recycling level, and sets the recycling level. The value of the waste device 160 may be reasonably quantified by determining the gift certificate amount, number of points, or discount benefit ratio information.

In addition, the subscription fee for the AI model subscription contract information can be provided in cryptocurrency from the small business terminal 110 to the marketplace platform 120.

In addition, the marketplace platform 120 stores the subscriber information of the small business terminal 110, such as field of employment, business field, store location, sales, occupation, hobbies, interests, age, gender, physical information, activity radius, AI model application field, It further includes a step (S190) of analyzing goals, inconveniences, etc., and matching and recommending an AI model suitable for the environment or situation of the store where the edge device 140 is deployed from the DB storing a number of pre-built AI models. Therefore, an AI model whose predictive performance has already been verified by being applied to the environment or situation of the same or similar store can be immediately transmitted and provided to the edge device 140 without a separate creation step.

Meanwhile, the marketplace platform 120 may charge a subscription fee for AI model subscription contract information depending on the amount of AI model usage on the edge device 140, and may charge a flat rate based on monthly subscription or a discounted subscription fee on an annual basis. You may.

Meanwhile, another embodiment of the present invention provides a computer program recorded on a computer-readable recording medium that executes the AI model marketplace platform operation method for recycling the above-described waste devices into edge devices.

Therefore, by operating the AI model marketplace platform that recycles waste devices into edge devices as described above, environmental problems are solved by recycling waste devices into edge devices, and stores are efficiently managed and operated through AI models. , the recycling of waste devices can be promoted by providing benefits according to the donation of waste devices, and if the donor is a company, weight can be provided for ESG (Environmental, Social and Governance) evaluation, and small business owners and AI By building a subscription platform related to AI model transactions between model providers, AI models that meet the needs of the environment and small business owners are custom-made and provided through surveys, and prediction results are provided in real time through edge computing on edge devices. Security can be maintained.

The embodiments described in this specification and the configuration shown in the drawings are only one of the most preferred embodiments of the present invention and do not represent the entire technical idea of the present invention, so various equivalents may be substituted for them at the time of filing the present application. It should be understood that variations and variations may exist.

110: client terminal
120: Marketplace platform
130: AI model provider terminal
140: Edge device
150: Consumer terminal
160: Waste device
S100: Donation intention information transmission step
S110: Step to secure needs information
S120: Planning and design information transmission stage
S130: AI model creation step
S140: AI model verification step
S145: Edge device provision step
S150: AI model execution stage
S160: AI model prediction result data transmission step
S170: Alarm information transmission step
S180: AI model feedback stage
S185: Waste device benefit information transmission step
S190: AI model recommendation step

Claims (15)

A step of transmitting donation intention information of a waste device equipped with a sensor from the consumer terminal of a potential customer for a small business operation store to the marketplace platform;
performing a survey to secure needs information including the client's requirements and needs from the client terminal to the marketplace platform;
Analyzing the needs information in the marketplace platform, performing planning and design of an AI model to solve the needs, and transmitting the needs information and planning design information to an AI model provider terminal;
The AI model provider terminal builds a learning data set based on the planning and design information, and creates an AI model that performs formalization, text identification, image recognition, video recognition, object detection, prediction, maintenance, and recommendation, Transferring to the marketplace platform;
Evaluating and verifying the AI model according to testing standards preset in the marketplace platform;
According to the AI model subscription contract information, the waste device with a rebuilt platform OS that interfaces with the small business terminal and performs edge computing of the AI model, including the edge analysis module and edge IoT module, is provided as the edge device of the store. step;
Downloading the AI model that passed the test criteria from the marketplace platform and executing it on the edge device;
Transmitting prediction result data of the AI model executed on the edge device to the marketplace platform;
The marketplace platform analyzing the prediction result data and transmitting statistical data and alarm information to the small business terminal; and
After confirming the AI performance of the edge device according to the analysis of the prediction result data by the marketplace platform, the marketplace platform provides gift certificates, points, or discount benefits available at the store corresponding to the value of the waste device to the consumer terminal. Including; transmitting information,
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
The marketplace platform is characterized in that it charges a subscription fee for the AI model subscription contract information according to the amount of use of the AI model on the edge device.
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
The edge device uses data collected from the sensor and data collected from IoT sensors linked with the edge device as input data to the AI model, analyzes the behavioral patterns of consumers who visit the store, derives prediction results, and reports them. Characterized in generating,
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
The marketplace platform is characterized in that it provides gift certificates, points or discount benefit information corresponding to a specific percentage of the subscription fee of the AI model subscription contract information to the consumer terminal,
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
The marketplace platform performs a performance test of the waste device through a device performance test module, deletes personal information, sets a recycling level, and determines the gift certificate amount, number of points, or discount benefit rate information according to the recycling level. Characterized in that,
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
Characterized in that it further comprises a step wherein the marketplace platform feeds back consulting information to the small business terminal according to the results of the survey.
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
The marketplace platform performs evaluation and verification of the AI model or analysis of prediction result data of the AI model and feeds it back to the AI model provider terminal to perform version management, error correction, and update of the AI model; Characterized by further comprising:
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
The planning and design information includes the background and necessity of the need, the goal, promotion direction and improvement direction of the AI model, the implementation plan of the need, statistical data related to the need, required functions and expected effects,
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
Characterized in that it further comprises a step of the marketplace platform analyzing subscriber information of the small business terminal and matching and recommending an AI model suitable for the environment or situation in which the edge device is deployed.
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to clause 9,
The marketplace platform is characterized in that the AI model subscription contract information and the subscriber information are encrypted and stored based on blockchain,
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
The learning data set is characterized in that it is data collected by the sensor of the edge device and provided to the marketplace platform.
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
The AI model provider terminal extracts and processes actual data related to the planning and design information from a cloud server where big data is collected and stored, and constructs the learning data set by labeling the data.
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to clause 12,
The AI model provider terminal generates similar fictional data that is likely to actually exist above a certain probability from real data associated with the planning and design information extracted from the cloud server through the GAN model, and refines and processes the real data and the fictional data. Characterized by constructing the learning dataset by labeling the data,
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
The AI model is used in autonomous driving, industrial and military drone flight, smart factory, smart production line, smart farm, smart city, industrial robots, industrial Internet of Things, manufacturing, franchise, distribution, logistics, public safety, security, mobility, and medical care. , Characterized as an AI model that performs stereotyping, text identification, image recognition, image recognition, object detection, prediction, maintenance, and recommendation for healthcare, education, or advertising.
How to operate an AI model marketplace platform that recycles waste devices into edge devices.
According to paragraph 1,
The AI model is downloaded and executed on the first to Nth edge devices, respectively,
Characterized in that it is a joint model that updates the AI model with the average value of the weight, bias, and gradient values transmitted from the first to Nth edge devices, respectively, to the marketplace platform.
How to operate an AI model marketplace platform that recycles waste devices into edge devices.

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