KR101779705B1 - IoT Device & Platform for the detection, prediction, response of New Infections disease - Google Patents

IoT Device & Platform for the detection, prediction, response of New Infections disease Download PDF

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KR101779705B1
KR101779705B1 KR1020160031283A KR20160031283A KR101779705B1 KR 101779705 B1 KR101779705 B1 KR 101779705B1 KR 1020160031283 A KR1020160031283 A KR 1020160031283A KR 20160031283 A KR20160031283 A KR 20160031283A KR 101779705 B1 KR101779705 B1 KR 101779705B1
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조병완
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한양대학교 산학협력단
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Abstract

A platform system for predicting new infectious diseases based on the Internet is proposed. The Internet-based infection prediction platform system proposed in the present invention is a system for predicting an infectious disease virus that injects an antibody of an infectious pathogen virus and measures the light intensity, wavelength and color of the light source according to the infectious pathogen virus of the infectious disease A diagnostic unit for storing information on smart infectious disease pathogens viruses, smart terminals capable of self-diagnosis of users, information on infectious diseases and information on infectious pathogens of infectious diseases, and integrating, comparing and analyzing them to predict infectious diseases; And a communication module for sharing the infectious disease predicting device, the smart terminal, the infectious disease virus result between the diagnosis part, the self diagnosis result, the infectious disease information including the infectious disease prediction result, and the corresponding solution according to each result.

Description

{IoT Device & Platform for the detection, prediction, response of New Infections disease}

The present invention relates to a method and apparatus for predicting, detecting and responding to new infectious diseases such as MERS, SARS and H1N1.

In the case of new infectious diseases, such as MERS and SARS, which are frequently occurring at home and abroad for the first time, the infection of the blood or body fluids is checked through RNA genetic tests. It takes about 5 ~ 6 hours to detect the infection. However, this medical examination method is a method used for confirmation of confirmed patients. Therefore, a network platform for infectious diseases is required for the real-time infectious disease monitoring methods and devices necessary for prediction and prevention of infectious diseases in public facilities such as hospitals and subway stations.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide a method for detecting a pathogenic fungus in a human body by injecting a relevant antibody into a sensor module having a removable filter, The present invention provides a method and system for monitoring the change of light intensity and wavelength of a light source by monitoring the increase / decrease of charge particles (for example, Ca ++, Cl-, Mg +, etc.) in real time. It monitors in real time the presence of infectious diseases, pathogens and viruses in the air of closed spaces such as hospitals, subways, airplanes, etc., and predicts, prevents, and responds to them by networking with facilities, devices, and medical staffs We propose an infectious disease platform system.

In one aspect, the object Internet-based infectious disease prediction platform system proposed in the present invention injects an antibody of an infectious pathogenic virus and measures the light intensity, wavelength, and color of the light source according to the infective pathogenic virus of the infectious disease, , A smart terminal capable of self-diagnosis of the infected pathogenic virus of the infectious disease, user information on the infectious disease, information on the infecting pathogens of the infectious diseases, storing, integrating, comparing and analyzing the infectious disease And a communication module for sharing the infectious disease information including the infectious disease virus result, the infectious disease information including the infectious disease prediction result and the result of each infection between the diagnosis unit, the infectious disease predicting unit, the smart terminal, the diagnosis unit, .

The infection predictor includes a sensor module for attaching an antibody of an infectious pathogen virus and a sensor module for attaching a detachable filter for detecting an infectious pathogen virus of the infectious disease and a measurement module for measuring light intensity, .

The smart terminal performs an application for the self-diagnosis of the infected pathogenic virus of an infectious disease by the user, and receives input data related to the user's staying country, staying place information including the stay period, health status of the user, NFC, RTLS, community mapping, and Web 2.0 platform to prevent and cure infectious diseases according to the results of self-diagnosis by integrating environmental conditions, Lt; / RTI >

The diagnosis unit may integrate and store information on infectious pathogens of an infectious disease including disease information of the user, information of interest, user information on infectious diseases including the results of self-diagnosis, information on the infectious diseases, The integrated information is integrated, compared and analyzed through a predetermined algorithm to predict the infectious disease.

The diagnosis unit includes an analysis unit for integrating, comparing and analyzing the integrated information through a predetermined algorithm to predict the infectious disease, and a control unit for controlling the response method according to the infectious disease prediction result. Monitor the presence of infectious pathogen viruses in real time and predict, prevent and respond to the onset of infectious diseases through networking with facilities and devices related to the Internet based infectious diseases.

If the prediction result of the infectious disease is a suspected infected patient or a confirmed patient, the diagnosis unit may detect an infectious disease suspicion from the antenna or chip of the electronic tag interlocked with the smart terminal of the infected disease suspect patient and the confirmed patient through the beacon & Recognizes the location of the patient and the confirmed patient, and notifies the smart terminal of the surrounding users.

The electronic tag is constituted by a predetermined number of different numbers, and the information about the suspected patient and the confirmed patient is transmitted to the public facility through the beacon, and the suspicious patient and the confirmed patient are guided to avoid access to the public facility through the beacon , Warns nearby users of the use of suspicious patients and public facilities used by confirmed patients.

According to another aspect of the present invention, there is provided a method for predicting the Internet-based infection according to the present invention, comprising the steps of: performing a self-diagnosis of the infected pathogenic virus of an infectious disease through a smart terminal; Infectious disease predicting device, Smart terminal, Diagnosis through communication module by injecting antibody of pathogenic virus, detecting infection pathogen virus by measuring light intensity, wavelength and color of light source according to the infectious pathogenic virus of infectious disease through infection predictor Infectious disease information including infectious disease virus result, self diagnosis result, infectious disease prediction result, and countermeasures for each result, user information about infectious disease, information on infectious pathogens of infectious diseases, communication module Store the shared information, Integrating, comparing, analyzing the stored information includes the step of predicting the infectious disease.

The step of performing the self-diagnosis of the infected pathogenic virus of the infectious disease through the smart terminal may include performing an application for self-diagnosis of the infectious pathogenic virus of the infectious disease by the user, The data including the stay period including the stay period, the input data regarding the health state of the user, and the external environment conditions are integrated to perform the self-diagnosis.

The step of performing the self-diagnosis of the infected pathogenic virus of the infectious disease through the smart terminal includes the steps of preventing infection, preventing, tracking, and responding to the infectious disease according to the self-diagnosis result through the Internet, NFC, RTLS, Community mapping, networking through the Web 2.0 platform and presenting to the user's smart terminal.

The step of integrating, comparing and analyzing the information stored in the diagnosis unit to predict the infectious disease includes user information on infectious diseases including the disease information of the user, information of interest, self-diagnosis results, information on the infectious disease screening status, Integrate and store information about the infecting pathogens of the infectious diseases, and integrate, compare and analyze the integrated information through a predetermined algorithm to predict infectious diseases.

The step of integrating, comparing and analyzing the information stored through the diagnosis unit and predicting the infectious disease can be carried out by using the beacon & GIS based early warning and location tracking if the infectious disease prediction result is judged to be a suspected infectious disease patient or a confirmed patient, Recognizes the location of the suspect patient and the suspect patient from the antenna or chip of the electronic tag interlocked with the smart terminal of the patient and notifies the smart terminal of the surrounding users.

According to the embodiments of the present invention, when a new type of infectious disease occurs in a country or an area, a related antibody is injected into a sensor module having a removable filter in order to measure infectious pathogens in real time, It is possible to monitor the infectious disease by measuring changes in light intensity and wavelength of the light source by increasing or decreasing the charge particles (for example, Ca ++, Cl-, Mg + etc.). It can monitor the presence of infectious diseases, pathogens and viruses in the air of closed spaces such as hospitals, subways and airplanes in real time, and anticipate, prevent, and respond to the outbreaks through networking with facilities, devices and medical staffs .

FIG. 1 is a view for explaining a platform for anticipating a new infection control system based on the object Internet according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating a configuration of a platform for anticipating a new infection control system based on the object Internet according to an embodiment of the present invention.
3 is a flowchart illustrating a method for predicting a new type of infection according to an embodiment of the present invention.
4 is a view for explaining a self-diagnosis method using an application according to an embodiment of the present invention.
5 is a diagram for explaining an application execution method according to an embodiment of the present invention.
6 is a diagram for explaining an application execution method according to another embodiment of the present invention.

Domestic outbreaks of new infections such as Mers and SARS are frequent. Symptoms of SARS (Severe Acute Respiratory Syndrome), which has occurred rapidly in 2003, include fever above 38 degrees, chills, sore throat, muscle aches, vomiting, diarrhea, headache and dry cough. The mortality rate is 40%, the propagation power is medium, and the propagation path is propagated through the air. SARS caused 775 deaths worldwide, 684 deaths in China and Hong Kong, four in Korea, and no deaths.

Symptoms of the 2009 H1N1 flu (Influenza A virus subtype H1N1) include symptoms similar to seasonal flu, high fever and myalgia, vomiting, diarrhea, cough, dyspnea, sore throat, and headache. The mortality rate is 0.07% and the spreading power is high, and the propagation path is spread through the cough or secretion of the infected person. There are Tamiflu vaccines as a treatment for H1N1, but 263 people have died in Korea and more than 18,000 people have died worldwide.

Symptoms of the Hong Kong influenza virus (H3N2) (Influenza A virus Subtype H3N2) in 2015 include fever, muscle aches, vomiting, diarrhea, dyspnea, sore throat, cough, and runny nose. The mortality rate is 1% and the spreading power is very high, and the propagation path is spread through the cough and air of the infected person. In 2015, 570 people died from the Hong Kong flu (H3N2) in Hong Kong.

Symptoms of MERS (Middle East Respiratory Syndrome) in 2015 include high fever above 38 ° C, cough, dyspnea, chills, sore throat, runny nose, muscle pain, abdominal pain, diarrhea, anorexia and indigestion . The mortality rate is 40%, the spreading power is medium, and the propagation path is spread through the camel, the secretion from the cough of the infected person. More than 280 people died in Saudi Arabia (MERS) and 186 people were confirmed in Korea, resulting in 36 deaths.

Analysis of the problems of recent cases has shown that the types of new and variant viruses are becoming more diverse and resistant, but the vaccine has not been developed for them and the development profit has decreased as a treatment for many development costs for a long time.

As the failure to manage the suspicious and confirmed patients, self - quarantine, and latent patients effectively and track their location, the mers were spreading rapidly, resulting in a lot of damage. Therefore, it is necessary to recognize the problem of safety insensitivity to these infectious diseases and to be aware of social responsibility.

The current management of infectious disease has a problem that the management, monitoring, and information sharing system for the infected person is insufficient. In addition, infections can be spread more by the safety insensitivity to infectious diseases. For example, the caregiver system and contact through a free hospitalized system without records of patient visits can lead to the spread of infectious diseases in early hospitals. Therefore, it is necessary to intelligence the infectious disease management network. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a view for explaining a platform for anticipating a new infection control system based on the object Internet according to an embodiment of the present invention.

First, it is assumed that an application for anticipating a new infectious disease infection based on the object Internet is installed in the smart terminal 110 of the user.

Referring to FIG. 1, a self diagnosis (120) of a new infectious disease can be performed through a smart terminal. In the case of the foreigner who enters the country using the transportation such as the port 131 and the airport 132, the body temperature can be measured 133 using the heat detector using the search box. At this time, if the body temperature is measured to be high and an infected person is suspected, he / she can receive a special diagnosis (134) in the temporary isolation room.

Through this method, a primary diagnosis can be performed, and a smart terminal installed with an application for predicting a new infectious disease based on the Internet can be shared with the self diagnosis result and the information on the suspects through the heat sensor . Such information may be stored in the disease management headquarters information management system 150 and may be given a health and welfare department warning 170 such as attention, attention, alertness, and seriousness according to the degree of the infectious disease. Based on such information, a beacon for responding to the prediction of a new infectious disease is used in a short-range wireless communication based on a Bluetooth protocol suitable for implementation of the object Internet through the communication company 140, and the terrain information and the facility- GIS-based early warning and location tracking (160) for searching and analyzing the collected information may be possible. In other words, the information about the suspected patient and the confirmed patient can be transmitted to the public facility such as the disease management headquarters information management system 150 through the beacon. In addition, it is possible to guide the suspected patients and the confirmed patients to refrain from accessing the public facilities through beacons, and to warn the public of the use of suspicious patients and public facilities used by the confirmed patients.

Thus, in the facilities of the smart terminal 110, the disease management headquarters 150, the hospital 181, the house 182, the school 183, and the office 184 of the user, the infectious disease confirmed person, suspicious patient, And real - time notifications can be made accordingly, so that the spread of infectious diseases can be efficiently managed and prevented.

FIG. 2 is a diagram illustrating a configuration of a platform for anticipating a new infection control system based on the object Internet according to an embodiment of the present invention.

The proposed Internet-based infectious disease prediction response platform system includes an infectious disease prediction unit 210, a smart terminal 220, a diagnosis unit 230, and a communication module 240.

The infection predictor 210 injects an antibody of an infectious pathogen virus and measures the light intensity, wavelength, and color of the light source according to the infectious pathogen virus of the infectious disease to detect the infecting pathogen virus.

The infectious disease predictor 210 includes a sensor module 211 and a measurement module 212. The sensor module 211 is provided with a removable filter for detecting the infectious pathogenic virus of the infectious disease. Then, an infectious pathogen virus can be detected by injecting an antibody of the infecting pathogen virus.

The measurement module 212 measures the light intensity, wavelength, and color of the light source according to the infectious pathogenic virus. When the antibody of the infecting pathogenic virus injected into the sensor module 211 and the infecting pathogenic virus are in contact, special particles are released or deformed. The emission or deformation of such special particles can be measured through the measurement module 212 to detect the infecting pathogenic virus.

For example, to detect an infectious pathogenic virus against mers, the sensor module 211 is injected with an antibody of a mers infection virus. When a virus is present in a muss infection pathogen virus, a wavelength change occurs when the muss infection virus reacts with the antibody to pass light. This change can be measured through the measurement module 212 to detect the infecting pathogen virus.

The smart terminal 220 enables the user to self-diagnose the infected pathogenic virus of the infectious disease. For example, an application for anticipating a new infectious disease based on the object Internet can be installed in a smart terminal, so that a user can perform a self-diagnosis.

The smart terminal 220 performs an application for self-diagnosis of the infected pathogenic virus of an infectious disease by the user. The smart terminal 220 receives input data related to the user's staying country, staying place information including the stay period, , And can perform self-diagnosis by integrating external environmental conditions. The preventive method and the corresponding method according to the self-diagnosis result can be displayed to the user through the smart terminal.

The diagnosis unit 230 stores user information on the infectious disease and information on the infecting pathogens of the infectious disease, and integrates, compares and analyzes the information to predict the infectious disease.

The diagnosis unit 230 integrates information on the infected pathogens of the infectious diseases including the disease information of the user, information of interest, user information on the infectious diseases including the result of self-diagnosis, information on the infectious diseases, . Then, the integrated information is integrated, compared and analyzed through a predetermined algorithm to predict infectious diseases.

The diagnosis unit 230 includes an analysis unit 231 and a control unit 232.

The analysis unit 231 integrates, compares and analyzes the integrated information through a predetermined algorithm to predict the infectious disease, and the control unit 232 controls the corresponding method according to the infectious disease prediction result.

If it is determined that the infection prediction result is a suspected infectious disease, the diagnosis unit 230 recognizes the location of the suspected infected patient from the antenna or chip of the electronic tag linked to the smart terminal of the suspected infected patient, As shown in Fig. The electronic tag is composed of a predetermined number of different numbers. For example, it could be an address tag consisting of six independent numbers.

More specifically, when a user searches for information on an infectious disease, health keyword search on the Internet server, health related information on the social network, trend, risk index of the self-diagnosis application through the smart terminal, patient information, , Diagnosis and treatment of infectious diseases related facilities and equipment, medicines, medical staff information can be integrated and diagnosed.

For example, it is possible to recognize the location of a self-diagnostic person from an antenna or chip of an electronic tag in a city public facility linked to a smart phone application of a self-diagnosed person classified as a suspicious patient or more, GIS-based early warning and location tracking for gathering related information to satellites and searching for and analyzing the collected information is used to send a self-testimonial smart terminal from a local server to the smart terminal of a suspicious infection patient Access can be avoided by sending information on emergence.

The communication module 240 may transmit the infectious disease information such as the infectious disease virus result, the self diagnosis result, the infectious disease prediction result between the infectious disease predicting device 210, the smart terminal 220 and the diagnosis part 230, And share countermeasures.

3 is a flowchart illustrating a method for predicting a new type of infection according to an embodiment of the present invention.

The proposed method of responding to the Internet-based infectious disease prediction includes a step 310 of performing a self-diagnosis of the infected pathogenic virus of an infectious disease through a smart terminal, a step 310 of injecting an antibody of the infectious pathogenic virus into the infectious disease- A step 320 of detecting the infectious pathogen virus by measuring the light intensity, wavelength and color of the light source according to the infectious pathogen virus of the infectious disease through the infectious disease predicting unit 320, the infectious disease predictor, the smart terminal, A virus infection result, a self diagnosis result, an infectious disease information including the infectious disease prediction result and a countermeasure corresponding to each result (step 330), user information about the infectious disease, information on the infectious pathogen of the infectious disease, It stores the shared information, integrates the stored information through the diagnosis unit, , Analysis by a step 340 of predicting the infectious disease.

In step 310, the user can perform a self-diagnosis of the infectious pathogen virus of an infectious disease through the smart terminal. For example, an application for anticipating a new infectious disease based on the object Internet can be installed in a smart terminal, so that a user can perform a self-diagnosis.

The smart terminal performs an application for self-diagnosis of the infected pathogenic virus of an infectious disease by the user, and provides the user with information on the status of residence including the user's residence country, period of stay, input data on the health state of the user, The condition can be integrated to perform self-diagnosis. The preventive method and the corresponding method according to the self-diagnosis result can be displayed to the user through the smart terminal.

In step 320, the antibody of the infectious pathogen virus is injected into the infectious disease predicting device attached with the removable filter, and the light intensity, wavelength, and color of the light source according to the infectious pathogen virus of the infectious disease are measured through the infectious disease predicting device, Can be detected.

The sensor module of the Predictor of Infectious Disease is equipped with a removable filter for detecting the infectious pathogenic virus of the infectious disease. Then, an infectious pathogen virus can be detected by injecting an antibody of the infecting pathogen virus.

The measurement module of the infection predictor measures the light intensity, wavelength, and color of the light source according to the infecting pathogen virus. When the antibody of the infecting pathogenic virus injected into the sensor module and the infecting pathogenic virus are in contact, special particles are released or deformed. By measuring the release or deformation of these special particles through a measurement module, it is possible to detect infectious pathogenic viruses.

For example, to detect an infectious pathogenic virus against mers, the sensor module 211 is injected with an antibody of a mers infection virus. When a virus is present in a muss infection pathogen virus, a wavelength change occurs when the muss infection virus reacts with the antibody to pass light. This change can be measured through the measurement module 212 to detect the infecting pathogen virus.

In step 330, infectious disease predicting device, smart terminal, infectious disease virus result between diagnosis part, self diagnosis result, infectious disease information including infectious disease prediction result, and countermeasure according to each result are shared through communication module.

The communication module allows infectious disease predictors, smart terminals, and diagnostic departments to share infectious disease virus results, self diagnosis results, infectious disease information including infectious disease prediction results, and countermeasures for each result.

In step 340, user information about the infectious disease, information about the infectious disease pathogens of the infectious disease, information shared through the communication module, and the information stored through the diagnosis unit can be integrated, compared, and analyzed to predict the infectious disease.

The diagnosis department integrates and stores information on the infected pathogens of the infectious diseases including the user's disease information, interest information, user information on the infectious diseases including the self-diagnosis result, and information on the infectious disease screening status information by region, Then, the integrated information is integrated, compared and analyzed through a predetermined algorithm to predict infectious diseases.

The analysis department of the diagnosis department integrates, compares and analyzes the integrated information through a predetermined algorithm to predict the infectious disease. The control unit 232 of the diagnosis unit controls to inform the countermeasure method according to the infectious disease prediction result.

If the infection prediction result is judged to be a suspected infectious disease, the diagnosis unit recognizes the location of suspected infectious disease from the antenna or chip of the electronic tag linked to the smart terminal of the suspected infected patient, and controls the smart terminal can do. The electronic tag is composed of a predetermined number of different numbers. For example, it could be an address tag consisting of six independent numbers.

More specifically, when a user searches for information on an infectious disease, health keyword search on the Internet server, health related information on the social network, trend, risk index of the self-diagnosis application through the smart terminal, patient information, , Diagnosis and treatment of infectious diseases related facilities and equipment, medicines, medical staff information can be integrated and diagnosed.

For example, it is possible to recognize the location of the self-diagnoter from the antenna of the electronic tag in the city public facility or the chip, which is linked with the smart phone application of the self-diagnoter classified as suspicious patient or more, It is possible to prevent the evacuation by transmitting the admission recommendation message to the smart terminal of the diagnosis person and the emergence information of the suspicious patient approaching to the smart terminal of the nearby public.

In addition, real-time tracking is enabled by sharing information on infectious disease confirmed, suspected patients, and infectious disease-related situations in facilities such as user's smart terminal, disease management center, hospital, home, school, In this way, real - time notification is possible, and the spread of infectious diseases can be efficiently managed and prevented.

4 is a view for explaining a self-diagnosis method using an application according to an embodiment of the present invention.

The smart terminal can perform a self-diagnosis of the infected pathogenic virus of the infectious disease by the user. For example, the smart terminal may be provided with an application 410 for anticipating a new type of infectious disease based on the Internet, so that the user can perform self-diagnosis.

Diagnosis application for the user's self-diagnosis of the infectious disease virus of the infectious disease through the smart terminal, and enter the stay information including the user's country, region stay period, way information, etc. through the application. In addition, input data related to the health state of the user, external environmental conditions, and the like can be input and integrated to perform a self-diagnosis.

The infected disease is predicted by integrating, comparing and analyzing the input information through an algorithm for detecting the infectious pathogenic virus of the infectious disease. The Big Data 450 can be constructed using the results of the integration, comparison, and analysis.

According to the predicted result, the degree of infectious disease (430) can be expressed as LOW, MEDIUM, HIGH. Using these prediction results, the risk area can be analyzed and the traveler location information can be shared 430. Therefore, real-time tracking is possible by sharing information about infectious disease confirmed person, suspicious patient and infectious disease related situation through application installed in smart terminal, and real-time notification can be performed accordingly, thereby effectively managing and preventing the spread of infectious disease .

Real-time information 460 according to the infectious disease can be displayed through the user's smart terminal. For example, it can display real-time damage status (461) and hospital-specific confirmation status (462). Therefore, the safety insensitivity to infectious diseases can be mitigated.

Based on this information, beacon & GIS based early warning and location tracking for anticipating new infectious diseases can be made possible. Real-time tracking is possible by sharing information on infectious disease confirmation, suspicious patient and infectious disease status in facilities such as user's smart terminal, disease management center, hospital, home, school, office, etc., The spread of infectious diseases can be efficiently managed and prevented. In other words, information about suspected patients and confirmed patients can be transmitted to public facilities such as the CDC information management system via beacons. In addition, it is possible to guide the suspected patients and the confirmed patients to refrain from accessing the public facilities through beacons, and to warn the public of the use of suspicious patients and public facilities used by the confirmed patients.

5 is a diagram for explaining an application execution method according to an embodiment of the present invention.

The smart terminal can perform a self-diagnosis of the infected pathogenic virus of the infectious disease by the user. For example, an application for anticipating a new infectious disease based on the object Internet can be installed in a smart terminal, so that a user can perform a self-diagnosis.

The smart terminal performs an application for self-diagnosis of the infected pathogenic virus of an infectious disease by the user, inputs input data related to the health status of the user, external environmental conditions, etc. through the application, can do.

For example, the degree of symptom of a corresponding infectious disease, including body temperature, cough, dyspnea, amputation, sore throat, runny nose, muscle pain, vomiting, diarrhea, Then, using the inputted information, the infection is predicted by integrating, comparing and analyzing through the algorithm (530) for detecting the infectious pathogenic virus of the infectious disease.

And, according to the predicted result, the degree of infectious disease (540) can be represented as LOW, MEDIUM, HIGH. In addition, a preventive method and a corresponding method according to the degree of an infectious disease can be displayed to a user through a smart terminal.

For example, if the degree of infection is LOW, the smart terminal of the user can indicate the method of preventing and responding to the infectious disease. If the degree of infectious disease is MIDIUM, self-isolation is recommended to the user through smart terminal, and the prevention and countermeasures against infectious diseases can be indicated. If the level of infectious disease is HIGH, it is recommended to quarantine the user through the smart terminal and inform about information such as hospital isolation, hotline, transportation vehicle, and hospital.

6 is a diagram for explaining an application execution method according to another embodiment of the present invention.

The smart terminal can perform a self-diagnosis of the infected pathogenic virus of the infectious disease by the user. For example, the smart terminal may be provided with an application 610 for anticipating a new infectious disease infection based on the object Internet, so that the user can perform self-diagnosis.

Diagnosis application for the user's self-diagnosis of the infectious disease virus of the infectious disease through the smart terminal, and enter the stay information including the user's country, region stay period, way information, etc. through the application. In addition, input data related to the health state of the user, external environmental conditions, and the like can be input and integrated to perform a self-diagnosis.

The infected disease is predicted by integrating, comparing and analyzing the input information through an algorithm for detecting the infectious pathogenic virus of the infectious disease. By integrating, comparing and analyzing the results, we can construct big data using the predicted results.

According to the predicted result, the degree of infectious disease can be expressed as LOW (620), MEDIUM (631), HIGH (641). By using these prediction results, it is possible to analyze the dangerous area and share tourist location information. Therefore, real-time tracking is possible by sharing information about infectious disease confirmed person, suspicious patient and infectious disease related situation through application installed in smart terminal, and real-time notification can be performed accordingly, thereby effectively managing and preventing the spread of infectious disease .

For example, users with MEDIUM (631) prediction results can share the risk area analysis and traveler location information (632) to prevent the spread of infectious diseases.

Users with a HIGH (641) prediction result can be notified of an inability to enter the country if they are an overseas visitor, or can be advised of quarantine treatment and guided to the quarantine room through an application (642).

Therefore, real-time tracking is possible by sharing information about infectious disease confirmed person, suspicious patient and infectious disease related situation through application installed in smart terminal, and real-time notification can be performed accordingly, thereby effectively managing and preventing the spread of infectious disease .

Based on this information, beacon & GIS based early warning and location tracking for anticipating new infectious diseases can be made possible. Real-time tracking is possible by sharing information on infectious disease confirmation, suspicious patient and infectious disease status in facilities such as user's smart terminal, disease management center, hospital, home, school, office, etc., The spread of infectious diseases can be efficiently managed and prevented.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA) A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (13)

1. An object-based Internet-based infectious disease prediction response platform system,
An infectious disease predictor that injects an antibody of an infectious pathogen virus and measures the light intensity, wavelength, and color of a light source according to the infectious pathogen virus of the infectious disease to detect infectious pathogenic virus;
A smart terminal capable of self-diagnosis of the infected pathogenic virus of an infectious disease by using an application;
A diagnostic unit for storing user information on the infectious disease and information on the infecting pathogens of the infectious disease, and for integrating, comparing and analyzing to predict the infectious disease; And
A communication module for sharing the infectious disease predictor, the smart terminal, the infectious disease information including the infectious disease virus result, the self diagnosis result, the infectious disease prediction result,
/ RTI >
Wherein the diagnosis unit comprises:
An analysis unit for integrating, comparing and analyzing the integrated information through a predetermined algorithm to predict an infectious disease; And
A control unit for controlling the control unit to inform the countermeasure method according to the infectious disease prediction result
Lt; / RTI >
In order to predict, prevent, and respond to the onset of infectious diseases through networking with Internet-based infectious disease related facilities and devices, Information on infectious diseases of infectious diseases including information of interest, user information on infectious diseases including the result of self-diagnosis, information on the status of infectious disease screening by region, hospitals, And integrates, compares and analyzes the integrated information through a predetermined algorithm to predict the infectious disease,
GIS-based early detection of beacon and terrain information and facility-related information for satellite communication based on the Bluetooth protocol based on the Bluetooth protocol and the search and analysis of the collected information when the infection prediction result is judged to be a suspected infected patient or a confirmed patient By using alarms and location tracking and recognizing smart terminals of suspected infectious patients and confirmed patients at remote sites using predetermined frequency bands from antennas or chips of electronic tags interlocked with suspicious infection patients and smart terminals of confirmed patients, Recognizing the location of the patient and the confirmed patient, transmitting a recommendation message to the smart terminal of the infected disease suspected patient and the confirmed patient from the local server, notifying the smart terminal of the surrounding users,
When a user searches for information on infectious diseases, health keyword search on internet server, health related information on social network, trend, risk index of self-diagnosis application through smart terminal, patient information, region, hospital, infectious disease screening treatment status Related facilities and equipment, drugs, and medical staff information,
In the case of a new infectious disease, the smart terminal will be equipped with an application for anticipating new infectious diseases based on the Internet to share information on the infectious disease suspects, suspect patients and infectious disease related situations, and to spread the spread of new infectious diseases through real- To manage and prevent
Object - based Infection Prediction Response Platform System. The method according to claim 1,
The infection-
A sensor module attached with a removable filter for detecting the infectious pathogenic virus of an infectious disease and injecting an antibody of an infectious pathogenic virus; And
Measurement module that measures light intensity, wavelength, and color of light source according to infectious pathogen virus
Based Internet infectious disease prediction response platform system. The method according to claim 1,
The smart terminal includes:
Diagnosis application for self-diagnosis of the infectious disease virus of an infectious disease by the user, and through the application, it is possible to integrate the stay data including the user's residence country, stay period, input data on the health status of the user, Performing a self-diagnosis
Object - based Infection Prediction Response Platform System. The method of claim 3,
NFC, RTLS, Community Mapping, and Web 2.0 platform to prevent, heal, track, and respond to infection according to the result of self-diagnosis.
Object - based Infection Prediction Response Platform System. delete delete delete delete 1. A method for predicting the Internet based infection of an object,
Performing a self-diagnosis of the infected pathogenic virus of an infectious disease through a smart terminal using a user using an application;
Detecting an infectious pathogen virus by injecting an antibody of an infectious pathogen virus into a predictor of an infectious disease with a removable filter and measuring the light intensity, wavelength and color of a light source according to the infecting pathogen virus of the infectious disease through an infectious disease predictor;
Sharing infectious disease information including infectious disease predicting device, smart terminal, diagnosis part, infection pathogen virus result, self diagnosis result, infection disease prediction result, and result of each result through a communication module; And
User information about infectious diseases, information about infectious pathogens of infectious diseases, information shared through communication module, and prediction of infectious diseases by integrating, comparing and analyzing information stored by the diagnosis section
Lt; / RTI >
The step of integrating, comparing and analyzing the stored information through the diagnosis unit to predict the infectious disease includes:
The integrated information is integrated, compared and analyzed through a predetermined algorithm to predict the infectious disease,
Monitoring the presence or absence of the infectious pathogenic virus of the infectious disease in the air inside the public facility in real time and storing it through the diagnosis unit in order to predict, prevent and respond to the onset of the infectious disease through networking with the Internet- The step of integrating, comparing and analyzing the information to predict the infectious disease,
Information on infectious disease pathogens of infectious diseases, including user's disease information, information of interest, user information on infectious diseases including the results of self-diagnosis, information on each region, hospital, And integrating, comparing and analyzing the integrated information through a predetermined algorithm to predict the infectious disease,
GIS-based early detection of beacon and terrain information and facility-related information for satellite communication based on the Bluetooth protocol based on Bluetooth protocol, and for searching and analyzing the collected information, By using alarms and location tracking and recognizing smart terminals of suspected infectious patients and confirmed patients at remote sites using predetermined frequency bands from antennas or chips of electronic tags interlocked with suspicious infection patients and smart terminals of confirmed patients, Recognizing the location of the patient and the confirmed patient and transmitting a recommendation message to the smart terminal of the infected disease suspected patient and the confirmed patient from the local server, notifying the smart terminal of the surrounding users,
When a user searches for information on infectious diseases, health keyword search on internet server, health related information on social network, trend, risk index of self-diagnosis application through smart terminal, patient information, region, hospital, infectious disease screening treatment status Related facilities and equipment, drugs, and medical staff information,
In the case of a new infectious disease, the smart terminal will be equipped with an application for anticipating new infectious diseases based on the Internet to share information on the infectious disease suspects, suspect patients and infectious disease related situations, and to spread the spread of new infectious diseases through real- To manage and prevent
How to respond to Internet based infectious diseases. 10. The method of claim 9,
The step of performing a self-diagnosis of the infected pathogenic virus of an infectious disease by the smart terminal,
Diagnosis application for self-diagnosis of the infectious disease virus of an infectious disease by the user, and through the application, it is possible to integrate the stay data including the user's residence country, stay period, input data on the health status of the user, Performing a self-diagnosis
How to respond to Internet based infectious diseases. 11. The method of claim 10,
The step of performing a self-diagnosis of the infected pathogenic virus of an infectious disease by the smart terminal,
Networking through the Internet, NFC, RTLS, Community Mapping, and Web 2.0 platform to prevent and remedy infectious diseases according to the results of self-diagnosis and to show them to users' smart terminals
Based Internet infectious disease prediction response method. delete delete
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