System including server, smart speaker, and medicine storage box including locking device, and method therefor

The integration of a server, smart speaker, and locking devices in a medicine cabinet creates a system for rapid thyroid protective drug distribution and training, addressing the delay in nuclear accident responses and enhancing emergency preparedness.

WO2025105805A1PCT designated stage expired Publication Date: 2025-05-22UNIST (ULSAN NAT INST OF SCI & TECH)
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Patent Information

Application Number
PCT/KR2024/017846
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-11-16
Filing Date
2024-11-12
Publication Date
2025-05-22

AI Technical Summary

Technical Problem

The distribution of thyroid protective drugs to residents in the event of a nuclear accident is often delayed, necessitating a rapid judgment and distribution system using IoT devices, along with an effective management system for pre-distributed drugs and emergency plans.

Method used

A system comprising a medicine cabinet equipped with a server, a smart speaker, and a clock device, where the smart speaker is linked to a thyroid protective medicine storage box with locking devices, allowing for the remote opening and closing of the storage box during emergencies and the collection of resident behavioral patterns during training situations.

Benefits of technology

This system enables safe storage and rapid distribution of thyroid protective drugs, provides realistic training for drug administration, efficiently collects human behavioral information for improved emergency measures, prevents safety accidents, and enhances user proficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure relates to a system including a server, a smart speaker, and a medicine storage box including a locking device, and a method therefor, wherein the system includes: the server that outputs, through a communication network, an issuance signal selected according to the current state among a training issuance signal and an emergency issuance signal; the smart speaker that outputs first speech information and a first signal for a training situation in response to the training issuance signal received through the communication network and outputs second speech information and a second signal for an emergency situation in response to the emergency issuance signal received through the communication network; and the medicine storage box that includes a first locking device opened or closed on the basis of the first signal received through the communication network in the training situation and a second locking device opened or closed on the basis of the second signal received through the communication network in the emergency situation, wherein each of the first locking device and the second locking device contains a thyroid protection medicine.
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Description

System including a medicine cabinet equipped with a server, a smart speaker, and a clock device, and method thereof

[0001] The present disclosure relates to an electronic device and its operating method. More specifically, it relates to a system including a medicine cabinet equipped with a server, a smart speaker, and a clock device, and its method.

[0002] Nuclear power plants typically consist of over 100 individual systems with distinct functions. These systems are broadly categorized into the Nuclear Steam Supply System (NSSS), which centers around the reactor; the secondary circulation cooling system, which delivers steam to the generator; the turbine-generator system, which receives steam from the secondary circulation cooling system and drives the generator; and other auxiliary equipment.

[0003] In preparation for a nuclear accident, thyroid protective medications (or thyroid protection medications) are stored in protective medication storage boxes. However, there is a problem that distribution to residents is too delayed in the event of a nuclear accident. Therefore, rapid judgment and rapid distribution using IoT devices are necessary. Furthermore, in accordance with Article 35-2 of the Radiation Emergency Prevention Act, Article 18-2 of the Enforcement Decree, and the Guidelines on Stockpiling, Management, and Advance Distribution of Thyroid Protective Medications (Nuclear Safety and Security Commission), a system is needed to effectively manage thyroid protective medications to be distributed in advance. Furthermore, information, emergency plans, and emergency measures provided in emergency situations need to interact with the behavior of the target (e.g., residents in nuclear power plant areas). Therefore, methods for collecting human behavioral information in various situations are necessary to develop appropriate information provision methods, emergency plans, and emergency measures.

[0004] The problem to be solved by the present disclosure is a system including a thyroid protection medicine storage box linked to a smart speaker around a nuclear power plant, a locking device mounted on the thyroid protection medicine storage box, and a server, wherein in the event of a disaster, the storage box is opened and closed through a smart speaker to provide thyroid protection medicine to residents, information on the behavioral patterns of residents in a training situation is collected through the smart speaker, and a system and method for quickly providing medicine are provided.

[0005] The problems to be solved by the present disclosure are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

[0006] In one aspect, the system of the present disclosure includes a server that outputs a command signal selected from among a training command signal and an emergency command signal according to a current status through a communication network, a smart speaker that outputs first voice information and a first signal for a training situation in response to the training command signal received through the communication network, and outputs second voice information and a second signal for the emergency situation in response to the emergency command signal received through the communication network, a first locking device that opens or closes based on the first signal received through the communication network in the training situation, and a second locking device that opens or closes based on the second signal received through the communication network in the emergency situation, and includes a medicine storage box containing thyroid protective drugs.

[0007] In another aspect, a control method of a system including a server, a smart speaker, and a medicine cabinet of the present disclosure may include a step in which the server outputs a training command signal and an emergency command signal selected according to a current state through a communication network; a step in which the smart speaker outputs first voice information and a first signal for the training situation in response to the training command signal received through the communication network, and outputs second voice information and a second signal for the emergency situation in response to the emergency command signal received through the communication network; and a step in which the medicine cabinet opens or closes a first locking device for preventing leakage of a first thyroid protection drug based on the first signal received through the communication network in the training situation, and opens or closes a second locking device for preventing leakage of a second thyroid protection drug based on the second signal received through the communication network in the emergency situation.

[0008] According to the present disclosure, pre-distributed thyroid protective drugs are safely stored, and there is an effect of providing training related to their administration in an environment that is almost identical to reality, an effect of efficiently collecting information on human behavioral characteristics to improve emergency measures and emergency plans, an effect of preventing safety accidents, and an effect of improving user proficiency.

[0009] The effects of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

[0010] Figure 1 is a drawing showing a system according to the present disclosure.

[0011] Figure 2 is a drawing showing the configuration of the server of Figure 1.

[0012] Figure 3 is a flowchart illustrating a method according to the present disclosure.

[0013] Throughout this disclosure, the same reference numerals denote the same components. This disclosure does not describe all elements of the embodiments, and any content that is common in the technical field to which this disclosure pertains or that overlaps between embodiments is omitted. The terms "part, module, element, block" used in the specification may be implemented in software or hardware, and depending on the embodiments, multiple "parts, modules, elements, blocks" may be implemented as a single component, or a single "part, module, element, block" may include multiple components.

[0014] Throughout the specification, when a part is said to be "connected" to another part, this includes not only direct connection but also indirect connection, and indirect connection includes connection via a wireless communication network.

[0015] Additionally, when a part is said to "include" a component, this does not mean that it excludes other components, but rather that it may include other components, unless otherwise specifically stated.

[0016] Throughout the specification, when we say that an element is "on" another element, this includes not only cases where the element is in contact with the other element, but also cases where another element exists between the two elements.

[0017] The terms first, second, etc. are used to distinguish one component from another, and the components are not limited by the aforementioned terms.

[0018] Singular expressions include plural expressions unless the context clearly indicates otherwise.

[0019] The identification codes for each step are used for convenience of explanation and do not describe the order of each step. Each step may be performed in a different order than specified unless the context clearly indicates a specific order.

[0020] The operating principle and embodiments of the present disclosure are described below with reference to the attached drawings.

[0021] As used herein, the term "device according to the present disclosure" encompasses a variety of devices capable of performing computational processing and providing results to a user. For example, the device according to the present disclosure may include a computer, a server device, and a portable terminal, or may be any one of them.

[0022] Here, the computer may include, for example, a notebook, desktop, laptop, tablet PC, slate PC, etc. equipped with a web browser.

[0023] A server device is a server that processes information by communicating with external devices, and may include an application server, a computing server, a database server, a file server, a game server, a mail server, a proxy server, and a web server.

[0024] A portable terminal is, for example, a wireless communication device that ensures portability and mobility, and may include all kinds of handheld-based wireless communication devices such as PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), WiBro (Wireless Broadband Internet) terminals, smart phones, etc., and wearable devices such as watches, rings, bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted devices (HMD).

[0025] The artificial intelligence-related functions according to the present disclosure are operated through a processor and memory. The processor may be composed of one or more processors. In this case, one or more processors may be a general-purpose processor such as a CPU, an AP, a DSP (Digital Signal Processor), a graphics-only processor such as a GPU or a VPU (Vision Processing Unit), or an artificial intelligence-only processor such as an NPU. One or more processors control the processing of input data according to predefined operating rules or artificial intelligence models stored in memory. Alternatively, if one or more processors are artificial intelligence-only processors, the artificial intelligence-only processor may be designed with a hardware structure specialized for processing a specific artificial intelligence model.

[0026] The predefined operation rules or artificial intelligence models are characterized by being created through learning. Here, being created through learning means that the basic artificial intelligence model is learned by a learning algorithm using a plurality of learning data, thereby creating a predefined operation rules or artificial intelligence model set to perform a desired characteristic (or purpose). This learning may be performed on the device itself on which the artificial intelligence according to the present disclosure is performed, or may be performed through a separate server and / or system. Examples of the learning algorithm include, but are not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.

[0027] An artificial intelligence model may be composed of multiple neural network layers. Each of the multiple neural network layers has multiple weight values, and performs neural network operations through operations between the operation results of the previous layer and the multiple weights. The multiple weights of the multiple neural network layers may be optimized based on the learning results of the artificial intelligence model. For example, the multiple weights may be updated so that the loss value or cost value obtained from the artificial intelligence model is reduced or minimized during the learning process. The artificial neural network may include a deep neural network (DNN), and examples thereof include, but are not limited to, a convolutional neural network (CNN), a deep neural network (DNN), a recurrent neural network (RNN), a restricted boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), or deep Q-networks.

[0028] According to an exemplary embodiment of the present disclosure, a processor can implement artificial intelligence. Artificial intelligence refers to a machine learning method based on an artificial neural network that imitates human neurons (biological neurons) to enable machines to learn. Artificial intelligence methodologies can be categorized into supervised learning, in which input data and output data are provided together as training data depending on the learning method, so that the solution (output data) to the problem (input data) is determined; unsupervised learning, in which only input data is provided without output data, so that the solution (output data) to the problem (input data) is not determined; and reinforcement learning, in which a reward (Reward) is provided from an external environment whenever an action (Action) is taken in the current state (State), and learning is performed in a direction to maximize this reward. In addition, artificial intelligence methodologies can be categorized according to the architecture of the learning model. The architectures of widely used deep learning technologies can be categorized into convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and generative adversarial networks (GANs).

[0029] The present device and system may include an artificial intelligence model. The artificial intelligence model may be a single artificial intelligence model or may be implemented as multiple artificial intelligence models. The artificial intelligence model may be composed of a neural network (or artificial neural network) and may include statistical learning algorithms that mimic biological neurons in machine learning and cognitive science. A neural network may refer to a model in general that has problem-solving capabilities by changing the binding strength of synapses through learning, formed by artificial neurons (nodes) that form a network by combining synapses. The neurons of the neural network may include a combination of weights or biases. The neural network may include one or more layers composed of one or more neurons or nodes. For example, the device may include an input layer, a hidden layer, and an output layer. The neural network constituting the device can infer a desired result (output) from an arbitrary input (input) by changing the weights of neurons through learning.

[0030] The processor can create a neural network, train (or learn) a neural network, perform a calculation based on received input data, generate an information signal based on the calculation result, or retrain the neural network. The models of the neural network can include various types of models such as CNN (Convolution Neural Network) such as GoogleNet, AlexNet, VGG Network, R-CNN (Region with Convolution Neural Network), RPN (Region Proposal Network), RNN (Recurrent Neural Network), S-DNN (Stacking-based deep Neural Network), S-SDNN (State-Space Dynamic Neural Network), Deconvolution Network, DBN (Deep Belief Network), RBM (Restrcted Boltzman Machine), Fully Convolutional Network, LSTM (Long Short-Term Memory) Network, Classification Network, etc., but are not limited thereto. The processor can include one or more processors for performing calculations according to the models of the neural network. For example, the neural network can be a deep neural network. It may include a deep neural network.

[0031] Neural networks include CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), perceptron, multilayer perceptron, FF (Feed Forward), RBF (Radial Basis Network), DFF (Deep Feed Forward), LSTM (Long Short Term Memory), GRU (Gated Recurrent Unit), AE (Auto Encoder), VAE (Variational Auto) Encoder), DAE (Denoising Auto Encoder), SAE (Sparse Auto Encoder), MC (Markov Chain), HN (Hopfield Network), BM (Boltzmann Machine), RBM (Restricted Boltzmann Machine), DBN (Depp Belief Network), DCN (Deep Convolutional Network), DN (Deconvolutional Network), DCIGN (Deep Convolutional Inverse Graphics Network), Generative Adversarial Network (GAN), Liquid State Machine (LSM), Extreme Learning Machine (ELM), It will be understood by those skilled in the art that any neural network may be included, including but not limited to ESN (Echo State Network), DRN (Deep Residual Network), DNC (Differentiable Neural Computer), NTM (Neural Turning Machine), CN (Capsule Network), KN (Kohonen Network), and AN (Attention Network).

[0032] According to an exemplary embodiment of the present disclosure, the processor may be configured to perform a process for generating a CNN (Convolution Neural Network) such as GoogleNet, AlexNet, VGG Network, Region with Convolution Neural Network (R-CNN), Region Proposal Network (RPN), Recurrent Neural Network (RNN), Stacking-based deep Neural Network (S-DNN), State-Space Dynamic Neural Network (S-SDNN), Deconvolution Network, Deep Belief Network (DBN), Restrcted Boltzman Machine (RBM), Fully Convolutional Network, Long Short-Term Memory (LSTM) Network, Classification Network, Generative Modeling, eXplainable AI, Continual AI, Representation Learning, AI for Material Design, BERT, SP-BERT, MRC / QA for natural language processing, Text Analysis, Dialog System, GPT-3, GPT-4, Visual Analytics for vision processing, Visual Understanding, Video Synthesis, ResNet for data intelligence, Anomaly Detection, Prediction, Time-Series Forecasting, Various artificial intelligence structures and algorithms, including optimization, recommendation, and data creation, can be utilized, but are not limited thereto. Hereinafter, embodiments of the present disclosure will be described in detail with reference to the attached drawings.

[0033] FIG. 1 is a drawing showing a system according to the present disclosure, and FIG. 2 is a drawing showing the configuration of the server of FIG. 1.

[0034] Referring to FIGS. 1 and 2, the system (100) may include a government agency (110), a server (120), a smart speaker (130), a medicine storage box (140), a first user (150), and a second user (160). The system (100) of the present disclosure is equipped with locking devices (141, 142) as a medicine storage box (140) (e.g., a thyroid protection medicine storage box) linked to a smart speaker (130) around a nuclear power plant, so that in the event of a disaster, the locking devices (141, 142) can be opened and closed through the smart speaker (130) to provide thyroid protection medicine to residents. In the system (100) of the present disclosure, the smart speaker (130) and the medicine storage box (140) are connected, and the locking devices (141, 142) can be opened and closed by IoT technology. The system (100) of the present disclosure can collect user behavior detection information through a smart speaker (130). The system (100) of the present disclosure can provide disaster information and medicine information through the smart speaker (130).

[0035] The government agency (110) may include the Ministry of Public Administration and Security and the Nuclear Safety and Security Commission. The government agency (110) may provide training information and / or disaster information to the server (120). The government agency (110) may create educational information regarding the dosage instructions and side effects of thyroid protective medications. The government agency (110) may transmit the educational information to the server (120) using a terminal. The terminal may transmit various data to the server (120). The terminal is a wireless communication device that ensures portability and mobility, and may include all types of handheld-based wireless communication devices such as the aforementioned PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), smart phones, and wearable devices such as watches and rings. The number of terminals may be one or more.

[0036] The server (120) is a protective medicine management server that can generate training and actual emergency signal and transmit them to the target via the Internet, update the instructions for taking thyroid protective medicine and educational information on side effects, transmit them to the target when necessary, and manage information on the quantity of protective medicine in the distributed thyroid protective medicine storage box. The server (120) can communicate with at least one terminal used by a government agency (110), a smart speaker (130), a first user (150), and a second user (160). The server (120) can receive training information and / or disaster information. The server (120) can output a signal selected from among the training signal and the emergency signal depending on the current status via a communication network. The server (120) can control the smart speaker (130) and receive data generated from the smart speaker (130). The server (120) may communicate with a terminal used by a second user (160) to verify data. The server (120) may communicate with a terminal used by a second user (160) to improve the system. The second user (160) may be, for example, an engineer, a researcher, an administrator, a programmer, a designer, etc., but is not limited thereto. The server (120) may include a communication unit (121), a memory (122), a processor (123), and a database (124).

[0037] The communication unit (121) can perform communication with at least one terminal. At this time, the communication unit (121) may include a wireless communication module that supports various wireless communication methods such as GSM (global System for Mobile Communication), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), UMTS (universal mobile telecommunications system), TDMA (Time Division Multiple Access), LTE (Long Term Evolution), 4G, 5G, and 6G, in addition to a WiFi module and a WiBro (Wireless broadband) module.

[0038] The memory (122) can store data for an algorithm for controlling the operation of components within the device or a program that reproduces the algorithm, and can be implemented with at least one processor (123) that performs the aforementioned operation using the data stored in the memory (122). Here, the memory (122) and the processor (123) can each be implemented as separate chips. In addition, the memory (122) and the processor (123) can also be implemented as a single chip.

[0039] The memory (122) can store data supporting various functions of the device, programs for the operation of the processor (123), input / output data, and a plurality of application programs (or applications) run on the device, data for the operation of the device, and commands. At least some of these application programs can be downloaded from an external server via wireless communication.

[0040] The memory (122) may include at least one type of storage medium among a flash memory type, a hard disk type, an SSD (Solid State Disk type), an SDD (Silicon Disk Drive type), a multimedia card micro type, a card type memory (e.g., SD or XD memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and an optical disk. In addition, the memory (122) may be a database that is separate from the device but is connected by wire or wirelessly.

[0041] The processor (123) can generate a command signal selected from among a training command signal and an emergency command signal depending on the current status. For example, if a government agency (110) or the like directs a training situation, the processor (123) can generate a training command signal. If a government agency (110) or the like orders an emergency command, the processor (123) can generate an emergency command signal. The training command signal or the emergency command signal can be transmitted to the smart speaker (130).

[0042] The database (124) can store various data constructed to design a customized diet.

[0043] The smart speaker (130) is an Internet-connected speaker that can transmit information about training and emergencies to a target audience (e.g., residents around a nuclear power plant) through voice, and can transmit instructions on taking thyroid protective medication and education on side effects through voice, transmitted from a server (120), and can transmit a signal to open and close a locking device to a medicine cabinet (140). The smart speaker (130) can provide various data to the server (120). The smart speaker (130) can input data into a terminal used by a first user (150) and extract data from a terminal used by the first user (150). The smart speaker (130) can control and manage the medicine cabinet (140). The smart speaker (130) can output first voice information and a first signal about a training situation in response to a training command signal received through a communication network. In addition, the smart speaker (130) can output second voice information and a second signal regarding an emergency situation in response to an emergency command signal received through a communication network.

[0044] The medicine storage box (140) is a box-shaped storage box divided into training and non-use, each having an independent locking device, and can transmit changes in the quantity of protective medicines to the server (120) in real time via the Internet. Meanwhile, the locking device can be opened and closed by training and actual emergency signals transmitted via the Internet. The medicine storage box (140) can contain thyroid protective medicines. The medicine storage box (140) can include a first locking device (141) and a second locking device (142). The first locking device (141) can be opened or closed based on a first signal received through a communication network in a training situation. That is, the first locking device (141) can be a training locking device. The second locking device (142) can be opened or closed based on a second signal received through a communication network in an emergency situation. That is, the second locking device (142) may be a locking device for actual emergency situations. However, this is not limited to the first locking device (141) and the second locking device (142) may be a locking device for actual emergency situations, and the second locking device (142) may be a locking device for training purposes.

[0045] A first user (150) can input voice information into a smart speaker (130). Alternatively, the first user (150) can receive voice information from the smart speaker (130). A second user (160) can communicate with a server (120).

[0046] In one embodiment, the server (120) may transmit educational information regarding the dosage instructions and side effects of a thyroid protective drug to a smart speaker (130). The smart speaker (130) may convert the first text information regarding the dosage instructions and the second text information regarding the side effects of the thyroid protective drug included in the educational information into first voice information corresponding to the first text information and second voice information corresponding to the second text information. Then, the smart speaker (130) may output the first voice information and the second voice information to a first user (150). The first user (150) may listen to the first voice information and the second voice information.

[0047] In one embodiment, the drug storage unit (140) can transmit quantity information including quantity changes of thyroid protective drugs to the server (120) in real time. In addition, the server (120) can manage and store the quantity information in a database (124).

[0048] In one embodiment, the server (120) may transmit survey information including a questionnaire regarding the educational content of the educational information to the smart speaker (130). The smart speaker (130) may convert third text information regarding the survey into third voice information and output the third voice information. In addition, the smart speaker (130) may receive response voice information including the answer in response to the third voice information by the first user (150). In addition, the smart speaker (130) may convert the response voice information into fourth text information and transmit the fourth text information to the server (120). The server (120) may update the educational information in the database (124) based on the fourth text information.

[0049] In some embodiments, the first and second locking devices (141, 142) may each include an electronic input / output device and an electronic opening / closing device that communicate with each other using an encrypted communication signal system. The smart speaker (130) may transmit power supplied to the smart speaker (130) to the medicine cabinet (140) and may transmit emergency power to the medicine cabinet (140) in the event of a power outage through an auxiliary battery that operates in the event of a power outage. In one embodiment, the electronic input / output device included in the first locking device (141) may include a touchpad that receives input on whether or not the user participates in training in a training situation, and a smart card that provides a means of rewarding the user's participation in training. The means of rewarding may include coupons, gift certificates, etc.

[0050] In one embodiment, the smart speaker (130) may receive lifestyle pattern voice information about the lifestyle pattern of an elderly person in a training situation, convert the lifestyle pattern voice information into fifth text information, and transmit the fifth text information to the server (120). The server may update the training information in the database (124) based on the fifth text information.

[0051] In one embodiment, a first user (150) can receive a survey, enter answers, and receive context using a smart speaker (130). The smart speaker (130) can detect the first user's (150) actions using a camera, image sensor, radar sensor, lidar sensor, or the like, and extract information.

[0052] According to the present disclosure, the smart speaker can be used to collect information on the behavioral patterns of residents during training situations, enable rapid provision of medicine, and collect the usual behavioral patterns of residents.

[0053] At least one component may be added or deleted to correspond to the performance of the components illustrated in FIGS. 1 and 2. Furthermore, it will be readily apparent to those skilled in the art that the relative positions of the components may be altered to correspond to the performance or structure of the system.

[0054] Figure 3 is a flowchart illustrating a method according to the present disclosure.

[0055] Referring to FIG. 3, the method may include steps S10, S20, and S30.

[0056] In step S10, the server (120) outputs a command signal selected from among a training command signal and an emergency command signal according to the current status through a communication network.

[0057] In step S20, the smart speaker (130) outputs first voice information and a first signal for a training situation in response to a training command signal received through a communication network, and outputs second voice information and a second signal for an emergency situation in response to an emergency command signal received through a communication network.

[0058] In step S30, the medicine storage box (140) opens or closes a first locking device (141) for preventing leakage of a first thyroid protection drug based on a first signal received through a communication network in a training situation, and opens or closes a second locking device (142) for preventing leakage of a second thyroid protection drug based on a second signal received through a communication network in an emergency situation.

[0059] Meanwhile, the disclosed embodiments may be implemented in the form of a recording medium storing computer-executable instructions. The instructions may be stored in the form of program code, and when executed by a processor, may generate program modules to perform the operations of the disclosed embodiments. The recording medium may be implemented as a computer-readable recording medium.

[0060] Computer-readable storage media include all types of storage media that store instructions that can be deciphered by a computer. Examples include read-only memory (ROM), random access memory (RAM), magnetic tape, magnetic disks, flash memory, and optical data storage devices.

[0061] The disclosed embodiments have been described with reference to the attached drawings as described above. Those skilled in the art will understand that the present disclosure can be implemented in forms other than the disclosed embodiments without altering the technical spirit or essential features of the present disclosure. The disclosed embodiments are illustrative and should not be construed as limiting.

Claims

1. A server that outputs a selected command signal among training command signals and emergency command signals based on the current status through a communication network; A smart speaker that outputs first voice information and a first signal for the training situation in response to the training command signal received through the communication network, and outputs second voice information and a second signal for the emergency situation in response to the emergency command signal received through the communication network; and A system comprising a first locking device that opens or closes based on the first signal received through the communication network in the training situation and a second locking device that opens or closes based on the second signal received through the communication network in the emergency situation, and a medicine storage box containing thyroid protective drugs.

2. In paragraph 1, The above server, Transmit the above thyroid protective medication dosage instructions and educational information on side effects to the above smart speaker, The above smart speaker, Converting the first text information about the guidance for taking the thyroid protective drug and the second text information about the side effects included in the above educational information into the first voice information corresponding to the first text information and the second voice information corresponding to the second text information, A system characterized by outputting the first voice information and the second voice information.

3. In paragraph 2, The above medicine storage box is, Transmit quantity information including quantity changes of the above thyroid protective drugs to the server in real time, The above server, A system characterized by managing and storing the above quantity information in a database.

4. In paragraph 3, The above server, Transmitting survey information including a survey on the educational content of the above educational information to the smart speaker, The above smart speaker, Convert the third text information for the above questionnaire into third voice information and output the third voice information. Receives response voice information including a response in response to the third voice information, A system characterized in that it converts the above answer voice information into fourth text information and transmits the fourth text information to the server.

5. In paragraph 4, The above server, A system characterized in that the educational information is updated in the database based on the fourth text information.

6. In paragraph 5, The above first construction device and the above second construction device are, respectively It includes an electronic input / output device and an electronic switching device that communicate with each other using an encrypted communication signal system, The above smart speaker, The power supplied to the above smart speaker is transferred to the above medicine storage box, A system characterized in that emergency power is delivered to the medicine storage box during a power outage through an auxiliary battery that operates during a power outage.

7. In paragraph 6, The electronic input / output device included in the first construction device is, A touchpad for inputting whether the user will participate in the training in the above training situation; and A system characterized by including a smart card that provides a means of rewarding the user for participating in training.

8. In paragraph 7, The above smart speaker, In the above training situation, life pattern voice information on the life pattern of an elderly person is received, the life pattern voice information is converted into fifth text information, and the fifth text information is transmitted to the server.

9. In paragraph 8, The above server, A system characterized by updating the educational information in the database based on the fifth text information.

10. A method for controlling a system including a server, a smart speaker, and a medicine cabinet, A step in which the server outputs a command signal selected from among a training command signal and an emergency command signal according to a current status through a communication network; The step of the smart speaker outputting first voice information and a first signal for the training situation in response to the training command signal received through the communication network, and outputting second voice information and a second signal for the emergency situation in response to the emergency command signal received through the communication network; and A method, wherein the medicine cabinet comprises a step of opening or closing a first locking device for preventing leakage of a first thyroid protection medication based on the first signal received through the communication network in the training situation, and opening or closing a second locking device for preventing leakage of a second thyroid protection medication based on the second signal received through the communication network in the emergency situation.

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