A 5G-based health monitoring and early warning system and its processing method

Abstract

The present invention proposes a 5G-based health monitoring and early warning system and a processing method thereof. The health monitoring and early warning system performs health monitoring and early warning information transmission based on the 5G wireless network, and performs differentiation based on the health monitoring object population, performs differentiated information monitoring on specific populations, and when the health information of the information monitoring object is abnormal, the abnormal information is promptly transmitted to the health monitoring and early warning system platform end, so that the health monitoring and early warning system platform end can perform information analysis and reporting. In the process of health information monitoring, the 5G-based health monitoring and early warning system adopts differentiated health information monitoring object management, provides dynamic adjustment of monitoring of different populations according to the region, and sets up ingenious system access to realize the circulation of health monitoring objects. At the same time, information transmission via 5G dual channels avoids the mixing of in-band information and out-of-band information of the health monitoring and early warning system, thereby providing higher system information security performance than the prior art, and can prompt health warnings, query and display specific health monitoring data based on dual system feedback of health monitoring files and health early warning notifications.

Description

Technical Field

[0001] The present invention belongs to the field of new generation information technology, and in particular relates to a 5G-based health monitoring and early warning system and a processing method thereof. Background Art

[0002] With the rapid development of 5G technology, it has become possible to transmit more and wider data information in daily life through 5G wireless communication technology. Through the 5G network, wireless information transmission can be performed between systems and within systems, so that information interaction can be efficiently performed between systems and between modules within the system, which also speeds up the operation efficiency of intelligent information systems.

[0003] In various technical fields such as medical treatment, urban construction, and electronic data management, the introduction of 5G wireless communication function modules makes more comprehensive and faster system interaction possible. For example, the use of 5G to achieve system transmission of personal hygiene data or personal health sign data, and to assist medical institutions in performing health monitoring and health warnings, is increasingly becoming one of the development directions of medical informationization and integration, and also provides a solid guarantee for cloud services and intelligent networking of medical information.

[0004] The present invention proposes a 5G-based health monitoring and early warning system and a processing method thereof. The health monitoring and early warning system performs health monitoring and early warning information transmission based on the 5G wireless network, and performs differentiation based on the health monitoring object population, performs differentiated information monitoring on specific populations, and when the health information of the information monitoring object is abnormal, the abnormal information is promptly transmitted to the health monitoring and early warning system platform end, so that the health monitoring and early warning system platform end can perform information analysis and reporting. In the process of health information monitoring, the 5G-based health monitoring and early warning system adopts differentiated health information monitoring object management, provides dynamic adjustment of monitoring of different populations according to the region, and sets up ingenious system access to realize the circulation of health monitoring objects. At the same time, information transmission via 5G dual channels avoids the mixing of in-band information and out-of-band information of the health monitoring and early warning system, thereby providing higher system information security performance than the prior art, and can prompt health warnings, query and display specific health monitoring data based on dual system feedback of health monitoring files and health early warning notifications. Summary of the invention

[0005] The present invention aims to provide a 5G-based health monitoring and early warning system and a processing method thereof that are superior to the prior art.

[0006] In order to achieve the above object, the technical solution of the present invention is as follows:

[0007] A 5G-based health monitoring and early warning system, the system comprising:

[0008] A health monitoring and early warning system platform end, wherein the health monitoring and early warning system platform end is used by the system administrator to perform module management on each system module of the 5G-based health monitoring and early warning system; and to perform system storage of monitoring information of the system health monitoring object population;

[0009] A monitoring and early warning object population management server, wherein the monitoring and early warning object population management server performs collective object management and collective information aggregation on the monitoring and early warning object population; the collective information aggregation at least includes: aggregating health information monitoring object ID information belonging to the same monitoring and early warning object population;

[0010] The monitoring and early warning target population at least includes:

[0011] A first health monitoring subject population, wherein the first health monitoring subject population is located in a first area;

[0012] a second health monitoring subject population, wherein the second health monitoring subject population is located in a second area;

[0013] The health monitoring system access population is located in a third area, and the third area is an overlapping area of ​​the first area and the second area.

[0014] a 5G information envelope module, wherein the 5G information envelope module anchors the first health monitoring object group and the second health monitoring object group, performs health information monitoring on the first health monitoring object group and the second health monitoring object group, and obtains first health information monitoring object health warning information of each health information monitoring object;

[0015] A 5G information bypass module, wherein the 5G information bypass module is anchored to the health monitoring system access population, performs health information monitoring on the health monitoring system access population, and obtains the second health warning information of the health information monitoring object of each health information monitoring object;

[0016] The first health information monitoring object health warning information of each health information monitoring object at least includes:

[0017] Health information monitoring subject ID information;

[0018] Information on the health monitoring population to which the health information monitoring subject belongs;

[0019] The first physiological indicator data of the health information monitoring object;

[0020] Health information monitoring object location data;

[0021] The second health information monitoring object health warning information of each health information monitoring object at least includes:

[0022] Health information monitoring subject ID information;

[0023] Information on the health monitoring population to which the health information monitoring subject belongs;

[0024] The first physiological indicator data of the health information monitoring object;

[0025] Health information monitoring object location data;

[0026] The access identification code of the health information monitoring object;

[0027] The 5G information envelope module transmits the health warning information of the first health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network;

[0028] The 5G information bypass module transmits the health warning information of the second health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network;

[0029] A big data intelligent information data evaluation module, wherein the big data intelligent information data evaluation module receives the health warning information of the first health information monitoring object and the health warning information of the second health information monitoring object, and sends the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition to the health warning trigger through system AI big data intelligent analysis;

[0030] The big data intelligent information data evaluation module also removes the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition from the corresponding monitoring object population, and searches for the health information monitoring object whose positioning data is closest to the health information monitoring object Kre in the health monitoring system access population according to the positioning data of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, and replaces its access mark code with a value corresponding to the health monitoring object population information to which the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition belongs;

[0031] Among them, the access mark code is replaced with a value corresponding to the health monitoring object population information of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, specifically: if Kre is originally in the first health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 1; if Kre is originally in the second health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 2;

[0032] The big data intelligent information data evaluation module transmits the replaced second health information monitoring object health warning information to the monitoring warning object population management server;

[0033] A health warning trigger, wherein the health warning trigger receives a health information monitoring object Kre, generates health warning information for the health information monitoring object Kre, and sends the health monitoring and warning system platform end;

[0034] The health monitoring and early warning system platform also receives health warning information for the health information monitoring object Kre, and generates a health monitoring file and a health warning notification based on the health warning information of the health information monitoring object Kre;

[0035] The health monitoring and early warning system platform sends the health monitoring file to the system docking medical institution;

[0036] The health monitoring and early warning system platform sends the health early warning notification to the health contact person preset in the system of the health information monitoring object Kre, and forwards it to the medical institution connected to the system.

[0037] Preferably, the first physiological indicator data of the health information monitoring object is the pulse frequency in a first time period; the first time period is 24 hours, or 12 hours.

[0038] Preferably, the collection object management at least includes:

[0039] Record the ID information of each health information monitoring object included in each monitoring and early warning object group, where the ID information is a binary code pre-configured by the system for each health information monitoring object;

[0040] Record the access code of each health information monitoring object included in the access population of the health monitoring system. When the access code is 1, the corresponding health information monitoring object is added to the first health monitoring object population; when the access code is 2, the corresponding health information monitoring object is added to the second health monitoring object population.

[0041] Preferably, the physiological indicator data exceeds the first preset health warning condition; specifically:

[0042] The big data intelligent information data evaluation module counts the mean of the first physiological indicator data of the first health monitoring object group, and identifies the health information monitoring objects whose physiological indicator data differs from the mean by more than a specific percentage as exceeding the first preset health warning condition.

[0043] Preferably, the specific percentage is 10% or 15%, which is preset by the administrator of the 5G-based health monitoring and early warning system.

[0044] At the same time, the present invention also proposes a 5G-based health monitoring and early warning method, which is applied to the system as described above, and is characterized in that the method includes the following steps:

[0045] Step 1: Operate the health monitoring and early warning system platform to perform module management on each system module of the 5G-based health monitoring and early warning system; and perform system storage for monitoring information of the system health monitoring target population;

[0046] Step 2: operate the monitoring and early warning object population management server to perform collection object management and collection information aggregation on the monitoring and early warning object population; the collection information aggregation at least includes: aggregating health information monitoring object ID information belonging to the same monitoring and early warning object population;

[0047] The monitoring and early warning target population at least includes:

[0048] A first health monitoring subject population, wherein the first health monitoring subject population is located in a first area;

[0049] a second health monitoring subject population, wherein the second health monitoring subject population is located in a second area;

[0050] The health monitoring system access population is located in a third area, and the third area is an overlapping area of ​​the first area and the second area.

[0051] Step 3: operate the 5G information envelope module to anchor the first health monitoring target group and the second health monitoring target group, perform health information monitoring on the first health monitoring target group and the second health monitoring target group, and obtain the first health information monitoring target health warning information of each health information monitoring target;

[0052] Step 4: operate the 5G information bypass module to anchor the health monitoring system access population, perform health information monitoring on the health monitoring system access population, and obtain the second health warning information of the health information monitoring object of each health information monitoring object;

[0053] The first health information monitoring object health warning information of each health information monitoring object at least includes:

[0054] Health information monitoring subject ID information;

[0055] Information on the health monitoring population to which the health information monitoring subject belongs;

[0056] The first physiological indicator data of the health information monitoring object;

[0057] Health information monitoring object location data;

[0058] The second health information monitoring object health warning information of each health information monitoring object at least includes:

[0059] Health information monitoring subject ID information;

[0060] Information on the health monitoring population to which the health information monitoring subject belongs;

[0061] The first physiological indicator data of the health information monitoring object;

[0062] Health information monitoring object location data;

[0063] The access identification code of the health information monitoring object;

[0064] The 5G information envelope module transmits the health warning information of the first health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network;

[0065] The 5G information bypass module transmits the health warning information of the second health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network;

[0066] Step 5: Operate the big data intelligent information data evaluation module to receive the health warning information of the first health information monitoring object and the health warning information of the second health information monitoring object, and send the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition to the health warning trigger through the system AI big data intelligent analysis;

[0067] Step 6: operate the big data intelligent information data evaluation module to remove the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition from the corresponding monitoring object population, and according to the positioning data of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, search the health information monitoring object whose positioning data is closest to it in the health monitoring system access population, and replace its access mark code with the value corresponding to the health monitoring object population information to which the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition belongs;

[0068] Among them, the access mark code is replaced with a value corresponding to the health monitoring object population information of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, specifically: if Kre is originally in the first health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 1; if Kre is originally in the second health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 2;

[0069] The big data intelligent information data evaluation module transmits the replaced second health information monitoring object health warning information to the monitoring warning object population management server;

[0070] Step 7: operate the health warning trigger to receive the health information monitoring object Kre, generate health warning information for the health information monitoring object Kre, and send it to the health monitoring and warning system platform;

[0071] Step 8: operate the health monitoring and early warning system platform to receive the health warning information for the health information monitoring object Kre, and generate a health monitoring file and a health warning notification based on the health warning information of the health information monitoring object Kre;

[0072] The health monitoring and early warning system platform sends the health monitoring file to the system docking medical institution;

[0073] The health monitoring and early warning system platform sends the health early warning notification to the health contact person preset in the system of the health information monitoring object Kre, and forwards it to the medical institution connected to the system.

[0074] Preferably, the first physiological indicator data of the health information monitoring object is the pulse frequency in a first time period; the first time period is 24 hours, or 12 hours.

[0075] Preferably, the collection object management at least includes:

[0076] Record the ID information of each health information monitoring object included in each monitoring and early warning object group, where the ID information is a binary code pre-configured by the system for each health information monitoring object;

[0077] Record the access code of each health information monitoring object included in the access population of the health monitoring system. When the access code is 1, the corresponding health information monitoring object is added to the first health monitoring object population; when the access code is 2, the corresponding health information monitoring object is added to the second health monitoring object population.

[0078] Preferably, the physiological indicator data exceeds the first preset health warning condition; specifically:

[0079] The big data intelligent information data evaluation module counts the mean of the first physiological indicator data of the first health monitoring object group, and identifies the health information monitoring objects whose physiological indicator data differs from the mean by more than a specific percentage as exceeding the first preset health warning condition.

[0080] Preferably, the specific percentage is 10% or 15%, which is preset by the administrator of the 5G-based health monitoring and early warning system.

[0081] At the same time, the present invention also proposes a device, including a memory and a processor, and the device is used to execute the processing method of the 5G-based health monitoring and early warning system as described above through the processor.

[0082] At the same time, the present invention also proposes a computer program product, which includes computer instructions, and the computer instructions, when executed by a processor, execute the processing method of the 5G-based health monitoring and early warning system as described above.

[0083] The present invention proposes a 5G-based health monitoring and early warning system and a processing method thereof. The health monitoring and early warning system performs health monitoring and early warning information transmission based on the 5G wireless network, and performs differentiation based on the health monitoring object population, performs differentiated information monitoring on specific populations, and when the health information of the information monitoring object is abnormal, the abnormal information is promptly transmitted to the health monitoring and early warning system platform end, so that the health monitoring and early warning system platform end can perform information analysis and reporting. In the process of health information monitoring, the 5G-based health monitoring and early warning system adopts differentiated health information monitoring object management, provides dynamic adjustment of monitoring of different populations according to the region, and sets up ingenious system access to realize the circulation of health monitoring objects. At the same time, information transmission via 5G dual channels avoids the mixing of in-band information and out-of-band information of the health monitoring and early warning system, thereby providing higher system information security performance than the prior art, and can prompt health warnings, query and display specific health monitoring data based on dual system feedback of health monitoring files and health early warning notifications. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 This is a basic system structure diagram of a 5G-based health monitoring and early warning system shown in the present invention;

[0085] Figure 2 It is a schematic diagram of a preferred embodiment of a system structure of a 5G-based health monitoring and early warning system shown in the present invention;

[0086] Figure 3 It is a schematic diagram of a preferred embodiment of a system structure in which a health monitoring and early warning system platform-side module is connected in a 5G-based health monitoring and early warning system shown in the present invention;

[0087] Figure 4 It is a schematic diagram of a preferred embodiment of a 5G-based health monitoring and early warning method shown in the present invention;

[0088] Figure 5 It is a schematic diagram of a preferred embodiment of the monitoring and collection steps of the 5G-based health monitoring and early warning method shown in the present invention. DETAILED DESCRIPTION

[0089] The following describes in detail several embodiments and beneficial effects of the 5G-based health monitoring and early warning system and its processing method and method claimed in the present invention, so as to facilitate a more detailed review and decomposition of the present invention.

[0090] In order to better understand the technical solution of the present invention, the embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0091] It should be clear that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0092] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0093] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0094] It should be understood that although the terms first, second, etc. may be used to describe the method and the corresponding device in the embodiments of the present invention, these keywords should not be limited to these terms. These terms are only used to distinguish the keywords from each other. For example, without departing from the scope of the embodiments of the present invention, the first health monitoring object population, the first physiological indicator data, etc. may also be referred to as the second health monitoring object population, the second physiological indicator data, and similarly, the second health monitoring object population, the second physiological indicator data, etc. may also be referred to as the first health monitoring object population, the first physiological indicator data.

[0095] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0096] As the instruction manual Figure 1-3As shown, it is one of the embodiments of the 5G-based health monitoring and early warning system and its specific included modules claimed in the present invention, and the 5G-based health monitoring and early warning system includes:

[0097] A health monitoring and early warning system platform end, wherein the health monitoring and early warning system platform end is used by the system administrator to perform module management on each system module of the 5G-based health monitoring and early warning system; and to perform system storage of monitoring information of the system health monitoring object population;

[0098] A monitoring and early warning object population management server, wherein the monitoring and early warning object population management server performs collective object management and collective information aggregation on the monitoring and early warning object population; the collective information aggregation at least includes: aggregating health information monitoring object ID information belonging to the same monitoring and early warning object population;

[0099] The monitoring and early warning target population at least includes:

[0100] A first health monitoring subject population, wherein the first health monitoring subject population is located in a first area;

[0101] a second health monitoring subject population, wherein the second health monitoring subject population is located in a second area;

[0102] The health monitoring system access population is located in a third area, and the third area is an overlapping area of ​​the first area and the second area.

[0103] a 5G information envelope module, wherein the 5G information envelope module anchors the first health monitoring object group and the second health monitoring object group, performs health information monitoring on the first health monitoring object group and the second health monitoring object group, and obtains first health information monitoring object health warning information of each health information monitoring object;

[0104] A 5G information bypass module, wherein the 5G information bypass module is anchored to the health monitoring system access population, performs health information monitoring on the health monitoring system access population, and obtains the second health warning information of the health information monitoring object of each health information monitoring object;

[0105] The first health information monitoring object health warning information of each health information monitoring object at least includes:

[0106] Health information monitoring subject ID information;

[0107] Information on the health monitoring population to which the health information monitoring subject belongs;

[0108] The first physiological indicator data of the health information monitoring object;

[0109] Health information monitoring object location data;

[0110] The second health information monitoring object health warning information of each health information monitoring object at least includes:

[0111] Health information monitoring subject ID information;

[0112] Information on the health monitoring population to which the health information monitoring subject belongs;

[0113] The first physiological indicator data of the health information monitoring object;

[0114] Health information monitoring object location data;

[0115] The access identification code of the health information monitoring object;

[0116] The 5G information envelope module transmits the health warning information of the first health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network;

[0117] The 5G information bypass module transmits the health warning information of the second health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network;

[0118] A big data intelligent information data evaluation module, wherein the big data intelligent information data evaluation module receives the health warning information of the first health information monitoring object and the health warning information of the second health information monitoring object, and sends the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition to the health warning trigger through system AI big data intelligent analysis;

[0119] The big data intelligent information data evaluation module also removes the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition from the corresponding monitoring object population, and searches for the health information monitoring object whose positioning data is closest to the health information monitoring object Kre in the health monitoring system access population according to the positioning data of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, and replaces its access mark code with a value corresponding to the health monitoring object population information to which the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition belongs;

[0120] Among them, the access mark code is replaced with a value corresponding to the health monitoring object population information of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, specifically: if Kre is originally in the first health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 1; if Kre is originally in the second health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 2;

[0121] The big data intelligent information data evaluation module transmits the replaced second health information monitoring object health warning information to the monitoring warning object population management server;

[0122] A health warning trigger, wherein the health warning trigger receives a health information monitoring object Kre, generates health warning information for the health information monitoring object Kre, and sends the health monitoring and warning system platform end;

[0123] The health monitoring and early warning system platform also receives health warning information for the health information monitoring object Kre, and generates a health monitoring file and a health warning notification based on the health warning information of the health information monitoring object Kre;

[0124] The health monitoring and early warning system platform sends the health monitoring file to the system docking medical institution;

[0125] The health monitoring and early warning system platform sends the health early warning notification to the health contact person preset in the system of the health information monitoring object Kre, and forwards it to the medical institution connected to the system.

[0126] As a superimposable preferred embodiment, the first physiological indicator data of the health information monitoring object is the pulse frequency in a first time period; the first time period is 24 hours, or 12 hours.

[0127] As another superimposable preferred embodiment, the 5G information transmission of the 5G information envelope module adopts LDPC code as the information encoding and decoding standard.

[0128] As another superimposable preferred embodiment, the collection object management at least includes:

[0129] Record the ID information of each health information monitoring object included in each monitoring and early warning object group, where the ID information is a binary code pre-configured by the system for each health information monitoring object;

[0130] Record the access code of each health information monitoring object included in the access population of the health monitoring system. When the access code is 1, the corresponding health information monitoring object is added to the first health monitoring object population; when the access code is 2, the corresponding health information monitoring object is added to the second health monitoring object population.

[0131] As another superimposable preferred embodiment, the physiological indicator data exceeds the first preset health warning condition; specifically:

[0132] The big data intelligent information data evaluation module counts the mean of the first physiological indicator data of the first health monitoring object group, and identifies the health information monitoring objects whose physiological indicator data differs from the mean by more than a specific percentage as exceeding the first preset health warning condition.

[0133] As another superimposable preferred embodiment, the specific percentage is 10% or 15%, which is preset by the administrator of the 5G-based health monitoring and early warning system.

[0134] At the same time, as the instructions Figure 4-5 As shown, the present invention also proposes a 5G-based health monitoring and early warning method, which is applied to the system as described above, and is characterized in that the method comprises the following steps:

[0135] Step S102: operating the health monitoring and early warning system platform to perform module management on each system module of the 5G-based health monitoring and early warning system; and performing system storage for monitoring information of the system health monitoring target population;

[0136] Step S104: operating the monitoring and early warning object population management server to perform collection object management and collection information aggregation on the monitoring and early warning object population; the collection information aggregation at least includes: aggregating health information monitoring object ID information belonging to the same monitoring and early warning object population;

[0137] The monitoring and early warning target population at least includes:

[0138] A first health monitoring subject population, wherein the first health monitoring subject population is located in a first area;

[0139] a second health monitoring subject population, wherein the second health monitoring subject population is located in a second area;

[0140] The health monitoring system access population is located in a third area, and the third area is an overlapping area of ​​the first area and the second area.

[0141] Step S106: operate the 5G information envelope module to anchor the first health monitoring object group and the second health monitoring object group, perform health information monitoring on the first health monitoring object group and the second health monitoring object group, and obtain first health information monitoring object health warning information of each health information monitoring object;

[0142] Step S108: operate the 5G information bypass module to anchor the health monitoring system access population, perform health information monitoring on the health monitoring system access population, and obtain the second health warning information of the health information monitoring object of each health information monitoring object;

[0143] The first health information monitoring object health warning information of each health information monitoring object at least includes:

[0144] Health information monitoring subject ID information;

[0145] Information on the health monitoring population to which the health information monitoring subject belongs;

[0146] The first physiological indicator data of the health information monitoring object;

[0147] Health information monitoring object location data;

[0148] The second health information monitoring object health warning information of each health information monitoring object at least includes:

[0149] Health information monitoring subject ID information;

[0150] Information on the health monitoring population to which the health information monitoring subject belongs;

[0151] The first physiological indicator data of the health information monitoring object;

[0152] Health information monitoring object location data;

[0153] The access identification code of the health information monitoring object;

[0154] The 5G information envelope module transmits the health warning information of the first health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network;

[0155] The 5G information bypass module transmits the health warning information of the second health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network;

[0156] Step S110: operate the big data intelligent information data evaluation module to receive the health warning information of the first health information monitoring object and the health warning information of the second health information monitoring object, and send the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition to the health warning trigger through the system AI big data intelligent analysis;

[0157] Step S112: operate the big data intelligent information data evaluation module to remove the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition from the corresponding monitoring object population, and according to the positioning data of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, search the health information monitoring object whose positioning data is closest to it in the health monitoring system access population, and replace its access mark code with a value corresponding to the health monitoring object population information to which the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition belongs;

[0158] Among them, the access mark code is replaced with a value corresponding to the health monitoring object population information of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, specifically: if Kre is originally in the first health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 1; if Kre is originally in the second health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 2;

[0159] The big data intelligent information data evaluation module transmits the replaced second health information monitoring object health warning information to the monitoring warning object population management server;

[0160] Step S114: operating the health warning trigger to receive the health information monitoring object Kre, generating health warning information for the health information monitoring object Kre, and sending it to the health monitoring and warning system platform end;

[0161] Step S116: operating the health monitoring and early warning system platform to receive health warning information for the health information monitoring object Kre, and generating a health monitoring file and a health warning notification based on the health warning information of the health information monitoring object Kre;

[0162] The health monitoring and early warning system platform sends the health monitoring file to the system docking medical institution;

[0163] The health monitoring and early warning system platform sends the health early warning notification to the health contact person preset in the system of the health information monitoring object Kre, and forwards it to the medical institution connected to the system.

[0164] As another superimposable preferred embodiment, the 5G information transmission of the 5G information envelope module adopts LDPC code as the information encoding and decoding standard.

[0165] As another superimposable preferred embodiment, the first physiological indicator data of the health information monitoring object is the pulse frequency in a first time period; the first time period is 24 hours, or 12 hours.

[0166] As another superimposable preferred embodiment, the collection object management at least includes:

[0167] Record the ID information of each health information monitoring object included in each monitoring and early warning object group, where the ID information is a binary code pre-configured by the system for each health information monitoring object;

[0168] Record the access code of each health information monitoring object included in the access population of the health monitoring system. When the access code is 1, the corresponding health information monitoring object is added to the first health monitoring object population; when the access code is 2, the corresponding health information monitoring object is added to the second health monitoring object population.

[0169] As another superimposable preferred embodiment, the physiological indicator data exceeds the first preset health warning condition; specifically:

[0170] The big data intelligent information data evaluation module counts the mean of the first physiological indicator data of the first health monitoring object group, and identifies the health information monitoring objects whose physiological indicator data differs from the mean by more than a specific percentage as exceeding the first preset health warning condition.

[0171] As another superimposable preferred embodiment, the specific percentage is 10% or 15%, which is preset by the administrator of the 5G-based health monitoring and early warning system.

[0172] At the same time, the present invention also proposes a device, including a memory and a processor, and the device is used to execute the processing method of the 5G-based health monitoring and early warning system as described above through the processor.

[0173] At the same time, the present invention also proposes a computer program product, which includes computer instructions, and the computer instructions, when executed by a processor, execute the processing method of the 5G-based health monitoring and early warning system as described above.

[0174] The present invention proposes a 5G-based health monitoring and early warning system and a processing method thereof. The health monitoring and early warning system performs health monitoring and early warning information transmission based on the 5G wireless network, and performs differentiation based on the health monitoring object population, performs differentiated information monitoring on specific populations, and when the health information of the information monitoring object is abnormal, the abnormal information is promptly transmitted to the health monitoring and early warning system platform end, so that the health monitoring and early warning system platform end can perform information analysis and reporting. In the process of health information monitoring, the 5G-based health monitoring and early warning system adopts differentiated health information monitoring object management, provides dynamic adjustment of monitoring of different populations according to the region, and sets up ingenious system access to realize the circulation of health monitoring objects. At the same time, information transmission via 5G dual channels avoids the mixing of in-band information and out-of-band information of the health monitoring and early warning system, thereby providing higher system information security performance than the prior art, and can prompt health warnings, query and display specific health monitoring data based on dual system feedback of health monitoring files and health early warning notifications.

[0175] In all the above embodiments, in order to realize some special data transmission and read / write function requirements, the above method operation process and its corresponding device can add devices, modules, components, hardware, pin connections or memory, processor differences to expand functions.

[0176] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the methods, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0177] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the method steps is only a logical or functional division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0178] The units described as the various steps of the method and the separated components of the device may or may not be logically or physically separated, and may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0179] In addition, the method steps and their implementations and functional units in the various embodiments of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0180] The above method and device can be implemented as an integrated unit in the form of a software functional unit, which can be stored in a computer-readable storage medium. The above software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), NVRAM, disk or optical disk, etc., which can store program code.

[0181] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0182] It should be noted that the above embodiments are only used to more clearly explain and illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A 5G-based health monitoring and early warning system, the system comprising: A health monitoring and early warning system platform end, wherein the health monitoring and early warning system platform end is used by the system administrator to perform module management on each system module of the 5G-based health monitoring and early warning system; and to perform system storage of monitoring information of the system health monitoring object population; A monitoring and early warning target population management server, which performs collective object management and collective information aggregation on the monitoring and early warning target population; The aggregation of the collective information at least includes: aggregating the ID information of the health information monitoring objects belonging to the same monitoring and early warning object group; The collection object management at least includes: Record the ID information of each health information monitoring object included in each monitoring and early warning object group, where the ID information is a binary code pre-configured by the system for each health information monitoring object; Record the access code of each health information monitoring object included in the access population of the health monitoring system. When the access code is 1, the corresponding health information monitoring object is added to the first health monitoring object population; when the access code is 2, the corresponding health information monitoring object is added to the second health monitoring object population; The monitoring and early warning target population at least includes: A first health monitoring subject population, wherein the first health monitoring subject population is located in a first area; a second health monitoring subject population, wherein the second health monitoring subject population is located in a second area; A health monitoring system access population, wherein the health monitoring system access population is located in a third area, and the third area is an overlapping area of ​​the first area and the second area; a 5G information envelope module, wherein the 5G information envelope module anchors the first health monitoring object group and the second health monitoring object group, performs health information monitoring on the first health monitoring object group and the second health monitoring object group, and obtains first health information monitoring object health warning information of each health information monitoring object; A 5G information bypass module, wherein the 5G information bypass module is anchored to the health monitoring system access population, performs health information monitoring on the health monitoring system access population, and obtains the second health warning information of the health information monitoring object of each health information monitoring object; The first health information monitoring object health warning information of each health information monitoring object at least includes: Health information monitoring subject ID information; Information on the health monitoring population to which the health information monitoring subject belongs; The first physiological indicator data of the health information monitoring object; Health information monitoring object location data; The second health information monitoring object health warning information of each health information monitoring object at least includes: Health information monitoring subject ID information; Information on the health monitoring population to which the health information monitoring subject belongs; The first physiological indicator data of the health information monitoring object; Health information monitoring object location data; The access identification code of the health information monitoring object; The 5G information envelope module transmits the health warning information of the first health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network; The 5G information bypass module transmits the health warning information of the second health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network; A big data intelligent information data evaluation module, wherein the big data intelligent information data evaluation module receives the health warning information of the first health information monitoring object and the health warning information of the second health information monitoring object, and sends the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition to the health warning trigger through system AI big data intelligent analysis; The big data intelligent information data evaluation module also removes the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition from the corresponding monitoring object population, and searches for the health information monitoring object whose positioning data is closest to the health information monitoring object Kre in the health monitoring system access population according to the positioning data of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, and replaces its access mark code with a value corresponding to the health monitoring object population information to which the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition belongs; Among them, the access mark code is replaced with a value corresponding to the health monitoring object population information of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, specifically: if Kre is originally in the first health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 1; if Kre is originally in the second health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 2; The big data intelligent information data evaluation module transmits the replaced second health information monitoring object health warning information to the monitoring warning object population management server; A health warning trigger, wherein the health warning trigger receives a health information monitoring object Kre, generates health warning information for the health information monitoring object Kre, and sends the health monitoring and warning system platform end; The health monitoring and early warning system platform also receives health warning information for the health information monitoring object Kre, and generates a health monitoring file and a health warning notification based on the health warning information of the health information monitoring object Kre; The health monitoring and early warning system platform sends the health monitoring file to the system docking medical institution; The health monitoring and early warning system platform sends the health early warning notification to the health contact person preset in the system of the health information monitoring object Kre, and forwards it to the medical institution connected to the system.

2. The 5G-based health monitoring and early warning system as claimed in claim 1, characterized in that: The first physiological indicator data of the health information monitoring object is the pulse frequency in a first time period; the first time period is 24 hours or 12 hours.

3. The 5G-based health monitoring and early warning system as claimed in claim 1, characterized in that: The physiological indicator data exceeds the first preset health warning condition; specifically: The big data intelligent information data evaluation module counts the mean of the first physiological indicator data of the first health monitoring object group, and identifies the health information monitoring objects whose physiological indicator data differs from the mean by more than a specific percentage as exceeding the first preset health warning condition.

4. The 5G-based health monitoring and early warning system as claimed in claim 3, characterized in that: The specific percentage is 10% or 15%, which is preset by the administrator of the 5G-based health monitoring and early warning system.

5. A 5G-based health monitoring and early warning method, applied to the system as claimed in any one of claims 1 to 4, characterized in that: The method comprises the following steps: Step 1: Operate the health monitoring and early warning system platform to perform module management on each system module of the 5G-based health monitoring and early warning system; and perform system storage for monitoring information of the system health monitoring target population; Step 2: operate the monitoring and early warning object population management server to perform collection object management and collection information aggregation on the monitoring and early warning object population; the collection information aggregation at least includes: aggregating health information monitoring object ID information belonging to the same monitoring and early warning object population; The collection object management at least includes: Record the ID information of each health information monitoring object included in each monitoring and early warning object group, where the ID information is a binary code pre-configured by the system for each health information monitoring object; Record the access code of each health information monitoring object included in the access population of the health monitoring system. When the access code is 1, the corresponding health information monitoring object is added to the first health monitoring object population; when the access code is 2, the corresponding health information monitoring object is added to the second health monitoring object population; The monitoring and early warning target population at least includes: A first health monitoring subject population, wherein the first health monitoring subject population is located in a first area; a second health monitoring subject population, wherein the second health monitoring subject population is located in a second area; A health monitoring system access population, wherein the health monitoring system access population is located in a third area, and the third area is an overlapping area of ​​the first area and the second area; Step 3: operate the 5G information envelope module to anchor the first health monitoring target group and the second health monitoring target group, perform health information monitoring on the first health monitoring target group and the second health monitoring target group, and obtain the first health information monitoring target health warning information of each health information monitoring target; Step 4: operate the 5G information bypass module to anchor the health monitoring system access population, perform health information monitoring on the health monitoring system access population, and obtain the second health warning information of the health information monitoring object of each health information monitoring object; The first health information monitoring object health warning information of each health information monitoring object at least includes: Health information monitoring object ID information; Information on the health monitoring population to which the health information monitoring subject belongs; The first physiological indicator data of the health information monitoring object; Health information monitoring object location data; The second health information monitoring object health warning information of each health information monitoring object at least includes: Health information monitoring object ID information; Information on the health monitoring population to which the health information monitoring subject belongs; The first physiological indicator data of the health information monitoring object; Health information monitoring object location data; The access identification code of the health information monitoring object; The 5G information envelope module transmits the health warning information of the first health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network; The 5G information bypass module transmits the health warning information of the second health information monitoring object to the big data intelligent information data evaluation module through the 5G wireless network; Step 5: Operate the big data intelligent information data evaluation module to receive the health warning information of the first health information monitoring object and the health warning information of the second health information monitoring object, and send the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition to the health warning trigger through the system AI big data intelligent analysis; Step 6: operate the big data intelligent information data evaluation module to remove the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition from the corresponding monitoring object population, and according to the positioning data of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, search the health information monitoring object whose positioning data is closest to it in the health monitoring system access population, and replace its access mark code with the value corresponding to the health monitoring object population information to which the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition belongs; Among them, the access mark code is replaced with a value corresponding to the health monitoring object population information of the health information monitoring object Kre whose physiological indicator data exceeds the first preset health warning condition, specifically: if Kre is originally in the first health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 1; if Kre is originally in the second health monitoring object population, the access mark code in the health warning information of the second health information monitoring object whose positioning data is closest to him in the health monitoring system access population is replaced with 2; The big data intelligent information data evaluation module transmits the replaced second health information monitoring object health warning information to the monitoring warning object population management server; Step 7: operate the health warning trigger to receive the health information monitoring object Kre, generate health warning information for the health information monitoring object Kre, and send it to the health monitoring and warning system platform; Step 8: operate the health monitoring and early warning system platform to receive the health warning information for the health information monitoring object Kre, and generate a health monitoring file and a health warning notification based on the health warning information of the health information monitoring object Kre; The health monitoring and early warning system platform sends the health monitoring file to the system docking medical institution; The health monitoring and early warning system platform sends the health early warning notification to the health contact person preset in the system of the health information monitoring object Kre, and forwards it to the medical institution connected to the system.

6. The 5G-based health monitoring and early warning method as claimed in claim 5, characterized in that: The first physiological indicator data of the health information monitoring object is the pulse frequency in a first time period; the first time period is 24 hours or 12 hours.

7. The 5G-based health monitoring and early warning method as claimed in claim 5, characterized in that: The physiological indicator data exceeds the first preset health warning condition; specifically: The big data intelligent information data evaluation module counts the mean of the first physiological indicator data of the first health monitoring object group, and identifies the health information monitoring objects whose physiological indicator data differs from the mean by more than a specific percentage as exceeding the first preset health warning condition.

8. The 5G-based health monitoring and early warning method as claimed in claim 7, characterized in that: The specific percentage is 10% or 15%, which is preset by the administrator of the 5G-based health monitoring and early warning system.

9. A computer device comprising a memory and a processor, wherein the device is used to execute the processing method of the 5G-based health monitoring and early warning system as described in any one of claims 5 to 8 through the processor.

10. A computer program product, comprising computer instructions, which, when executed by a processor, execute the processing method of the 5G-based health monitoring and early warning system as described in any one of claims 5 to 8.

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