Management method and system applied to smart health

Abstract

The invention is suitable for the technical field of health management, and particularly relates to a management system and method applied to smart health, and the method comprises the steps: S100: obtaining smart health data, segmenting the data into a plurality of single items, searching for a collection device corresponding to each single item, creating a plurality of blocks in one-to-one correspondence with the single items, reading real-time parameters of the collection devices, and storing the real-time parameters of the collection devices in a database; updating the plurality of blocks, and clustering the plurality of blocks into a plurality of disease courses; and S200, defining a starting point moment, defining the real-time readings of the plurality of blocks as starting point readings at the starting point moment, setting a monitoring time period, and after the monitoring time period. According to the method, the management tree is created, and the equipment items of the abnormal blocks can be adjusted by using the standard blocks, so that the post-disease-course user can adjust the equipment parameters of the pre-disease-course patient according to the experience and feeling of the post-disease-course user, the pre-disease-course user is helped to avoid the treatment misunderstanding, the equipment use efficiency is improved, and the intelligent and personalized development of health management is promoted.

Description

Technical Field

[0001] The present invention relates to the field of health management technology, and in particular to a management system and method applied to smart health. Background Art

[0002] Smart health requires the use of sensors or IoT devices to collect data such as users' blood pressure, blood sugar, exercise volume and electrocardiogram. This usually requires reliance on various hardware devices (such as smart bracelets, thermometers, blood glucose meters, blood pressure monitors and smart mattresses, etc.). Due to the large number of devices and different operating methods, some elderly users may resist, affecting usage efficiency.

[0003] The course of disease refers to the entire development process of the disease from the beginning to the end, which includes at least multiple stages from front to back: initiation, development, remission, recovery, etc.; therefore, "how to allow later course users to handle adjustment requests from previous course users" is the technical problem that the present invention needs to solve. Summary of the invention

[0004] The purpose of the present invention is to provide a management method and system for smart health to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A management method and system for smart health, the method comprising:

[0007] S100: Obtain smart health data and divide it into several items, find out the collection device corresponding to each item, create blocks corresponding to the items one by one, read out the real-time parameters of the collection device, update the blocks, and cluster the blocks into several disease courses;

[0008] S200: defining a starting time, and defining the real-time reading of the digital block at the starting time as the starting reading, setting a monitoring period, and defining the real-time reading of the digital block after the monitoring period as the end reading, and calculating the difference between the starting reading and the end reading;

[0009] S300: constructing evaluation rules, configuring the corresponding relationship between the evaluation rules and the single items, using the difference, selecting standard blocks and abnormal blocks from each course of disease, generating mutual assistance pairs, creating a management tree, and embedding a tilt mechanism into the management tree, mounting the standard blocks on the left side of the management tree, and mounting the abnormal blocks on the right side of the management tree;

[0010] S400: receiving an adjustment request initiated by the abnormal block based on a preset physical key, wherein the adjustment request includes a data item and a device item, and sending the adjustment request to the mutual assistance pair to determine whether it has been read;

[0011] If yes, a communication link is built within the mutual assistance pair, and a dialogue is established, and the adjustment authority of the equipment item is opened to the mutual assistance pair;

[0012] If not, the management tree is tilted, a standard block randomly popped out of the management tree is defined as a target block, and a communication link between the target block and the abnormal block within the mutual assistance pair is established.

[0013] Furthermore, the S100 includes:

[0014] Configuring the correlation between the blocks, integrating the correlation, the course of disease and the evaluation rules, generating an evaluation report, and sending the evaluation report to the terminal corresponding to the abnormal block;

[0015] A sharing platform is constructed to utilize the evaluation report to traverse diagnostic suggestions and integrate the diagnostic suggestions into the conversation.

[0016] Further, the S200 includes:

[0017] With the current time as the horizontal axis and the real-time parameters as the vertical axis, draw a trend chart of the change of smart health data;

[0018] Integrate multi-level threshold lines into the change trend graph and build an emergency strategy.

[0019] Further, the S300 includes:

[0020] In the sharing platform, a friend list is created, and standard blocks are found to generate mutual assistance pairs;

[0021] Using the mutual assistance pairs, links are generated and inserted into a management tree.

[0022] Furthermore, the S400 includes:

[0023] configuring a fluctuation range and establishing a mapping between the fluctuation range and the course of disease;

[0024] Based on the fluctuation range, the blocks are divided into standard blocks and abnormal blocks, and a transition mechanism is established.

[0025] Furthermore, the S300 further includes:

[0026] Determining the priority of each abnormal block according to the course of the abnormal block, wherein the priority includes: high, medium and low;

[0027] The number of links corresponding to each priority level is determined, and the mutual assistance pairs are adjusted.

[0028] Furthermore, the method further comprises:

[0029] Selecting authorized personnel from the sharing platform, wherein the authorized personnel at least include: medical staff and professional volunteers;

[0030] A root node is inserted into the management tree, the adjustment request is uploaded to the root node, and the sending end of the communication link is adjusted to the root node.

[0031] Furthermore, the system comprises:

[0032] A clustering module is used to obtain smart health data and divide it into several items, find out the collection device corresponding to each item, create blocks corresponding to the items, read out the real-time parameters of the collection device, update the blocks, and cluster the blocks into several disease courses;

[0033] A calculation module is used to define a starting point time, and define the real-time reading of the digital block at the starting point time as the starting point reading, set a monitoring period, and define the real-time reading of the digital block after the monitoring period as the end point reading, and calculate the difference between the starting point reading and the end point reading;

[0034] A mounting module is used to construct evaluation rules, configure the corresponding relationship between the evaluation rules and the single items, use the difference to select standard blocks and abnormal blocks from each course of disease, generate mutual assistance pairs, create a management tree, and embed a tilt mechanism into the management tree, mount the standard blocks on the left side of the management tree, and mount the abnormal blocks on the right side of the management tree;

[0035] A judgment module, used for receiving an adjustment request initiated by the abnormal block based on a preset physical key, wherein the adjustment request includes a data item and a device item, sending the adjustment request to the mutual assistance pair, and judging whether it has been read;

[0036] If yes, a communication link is built within the mutual assistance pair, and a dialogue is established, and the adjustment authority of the equipment item is opened to the mutual assistance pair;

[0037] If not, the management tree is tilted, a standard block randomly popped out of the management tree is defined as a target block, and a communication link between the target block and the abnormal block within the mutual assistance pair is established.

[0038] Furthermore, the clustering module includes:

[0039] A sending unit, configured to configure the correlation between the blocks, integrate the correlation, the course of disease and the evaluation rules, generate an evaluation report, and send the evaluation report to the terminal corresponding to the abnormal block;

[0040] A unit is added to build a sharing platform, utilize the evaluation report, traverse the diagnosis suggestions, and integrate the diagnosis suggestions into the dialogue.

[0041] Furthermore, the calculation module includes:

[0042] A drawing unit is used to draw a trend chart of smart health data changes with the current time as the horizontal coordinate and the real-time parameter as the vertical coordinate;

[0043] A construction unit is used to integrate multi-level threshold lines into the change trend diagram and construct an emergency strategy.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] By dividing smart health data into several individual items, it is possible to manage smart health data in a refined manner, reduce the complexity of overall data processing, and improve data processing efficiency. By creating several blocks, the accuracy of device parameter adjustment can be improved. By creating a management tree, standard blocks can be used to adjust the device items of abnormal blocks, so that post-course users can adjust the device parameters of previous course patients based on their own experience and feelings, helping previous course users avoid treatment misunderstandings, improve equipment use efficiency, and promote the intelligent and personalized development of health management. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0047] Figure 1 A flowchart of a management method for smart health provided in an embodiment of the present invention.

[0048] Figure 2 This is a block diagram of the first sub-process of the management method applied to smart health provided in an embodiment of the present invention.

[0049] Figure 3 This is a second sub-flow chart of the management method applied to smart health provided in an embodiment of the present invention.

[0050] Figure 4 This is a block diagram of the third sub-process of the management method applied to smart health provided in an embodiment of the present invention.

[0051] Figure 5 This is a fourth sub-flow chart of the management method applied to smart health provided in an embodiment of the present invention.

[0052] Figure 6 A block diagram of the composition of a management system applied to smart health provided by an embodiment of the present invention.

[0053] Figure 7 A block diagram of the composition of a clustering module in a management system for smart health provided in an embodiment of the present invention.

[0054] Figure 8 A block diagram of the composition of a computing module in a management system for smart health provided in an embodiment of the present invention.

[0055] Fig. 9 This is a block diagram of the components of the mounting module in the management system for smart health provided by an embodiment of the present invention.

[0056] Fig.10 This is a block diagram of the composition of the judgment module in the management system for smart health provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] Figure 1 The following is a general flow chart of a management method and system for smart health. In an embodiment of the present invention, a management method for smart health includes:

[0059] S100: Obtain smart health data and divide it into several items, find out the acquisition device corresponding to each item, create blocks corresponding to the items one by one, read out the real-time parameters of the acquisition device, update the blocks, and cluster the blocks into several disease processes.

[0060] Divide the smart health data into multiple items, for example, divide the smart health data of user A into blood sugar items, blood pressure items, and heart rate items; determine the collection equipment corresponding to each item, namely, blood glucose meter, blood pressure monitor, heart rate monitor, and electrocardiogram equipment; create a data block for each item of each user, where the data block is the basic structure for storing the real-time parameters of the collection equipment; transfer the real-time parameters obtained by the collection equipment into the data block, and update the data block in real time; determine the course of disease corresponding to each data block based on the real-time parameters and their fluctuations.

[0061] For example, in the number block corresponding to user B's blood sugar, the higher the blood sugar value, the later the corresponding course of illness. Then, according to the fluctuation of blood sugar, the course of illness of user B is adjusted again. If the blood sugar fluctuation is large, the course of illness will be later.

[0062] S200: Define a starting time, and define the real-time reading of the digital block at the starting time as the starting reading, set a monitoring period, and define the real-time reading of the digital block as the end reading after the monitoring period, and calculate the difference between the starting reading and the end reading.

[0063] Define a certain moment as the starting moment, and determine the real-time reading of each block as the starting reading, set the monitoring period, determine the end reading, and calculate the difference; the starting moment can be set by the user, while the monitoring period should be set by professionals.

[0064] S300: Construct evaluation rules, configure the corresponding relationship between the evaluation rules and the single items, use the difference to select standard blocks and abnormal blocks from each disease process, generate mutual assistance pairs, create a management tree, and embed a tilt mechanism into the management tree, mount the standard block on the left side of the management tree, and mount the abnormal block on the right side of the management tree.

[0065] An evaluation rule is created for each single item, and the evaluation rule is the specific evaluation method for the difference of each single item; for example, continuing to take the number block corresponding to the blood sugar of user B in the above S100 as an example, B's blood sugar value is 11mmo l / L, and after a period of time, it drops to 10.3mmo l / L, where 11mmo l / L is the starting point reading, 10.3mmo l / L is the end point reading, and the difference is 0.7mmo l / L; although B's blood sugar value exceeds the normal fluctuation range, it is in a declining state, and the number block corresponding to B can be determined as a standard block, while there is another user C, whose blood sugar value is 7.2mmo l / L and is in an increasing state, then the number block corresponding to C's blood sugar is an abnormal block, and B and C are paired to generate a mutual assistance pair.

[0066] The standard block and the abnormal block are mounted on both sides of the management tree respectively, and a tilt mechanism is embedded in the management tree, wherein the tilt mechanism is: when the adjustment request of any abnormal block on the right side of the management tree is not responded within a preset time period, the management tree is tilted.

[0067] The management tree is a tree-like data structure, which is divided into two parts, left and right. If the adjustment request issued by the abnormal block on the right side of the management tree is not responded to in time by the standard block paired with it, the management tree will tilt. After the tilt, any standard block will pop up from the left side of the management tree until the adjustment request can be processed.

[0068] S400: receiving an adjustment request sent by the abnormal block, wherein the adjustment request includes a data item and a device item, sending the adjustment request to the mutual assistance pair, and determining whether it has been read;

[0069] If yes, a communication link is built within the mutual assistance pair, and a dialogue is established, and the adjustment authority of the equipment item is opened to the mutual assistance pair;

[0070] If not, the management tree is tilted, a standard block randomly popped out of the management tree is defined as a target block, and a communication link between the target block and the abnormal block within the mutual assistance pair is established.

[0071] The adjustment request of the abnormal block is sent to the standard block in the mutual aid pair, and it is determined whether the standard block has been read. If so, a communication link between the standard block and the abnormal block in the mutual aid block is established so that the standard block can process the adjustment request. The specific processing includes: directly adjusting the device parameters of the acquisition device corresponding to the abnormal block and establishing a dialogue, etc. If the standard block in the mutual aid pair is not read, another standard block is randomly popped up from the management tree and defined as the target block.

[0072] Continuing with the mutual assistance pair in S300 as an example, when C sends an adjustment request (the adjustment request should include C's real-time blood glucose block data and the usage parameters of the blood glucose meter, etc.), the adjustment request will be sent to B. If B does not read it, any standard block will be popped up from the management tree, and a communication link between the standard block and C will be established, and a dialogue will be established. The user corresponding to the standard block will directly adjust the device parameters of C's blood glucose meter, and a dialogue will be established to provide treatment experience for C.

[0073] In Example 2, Figure 2 The implementation process of the management method for smart health provided by an embodiment of the present invention is shown, and S100 is described in detail below:

[0074] S101: configuring the correlation between the blocks, integrating the correlation, the course of disease and the evaluation rules, generating an evaluation report, and sending the evaluation report to the terminal corresponding to the abnormal block.

[0075] According to the correlation between the blocks, an evaluation report is generated, wherein the evaluation report is similar to a physical examination report, and the evaluation report is sent to the terminal of the user corresponding to the abnormal block.

[0076] S102: Building a sharing platform, using the evaluation report, traversing diagnostic suggestions, and integrating the diagnostic suggestions into the dialogue.

[0077] Build a sharing platform and upload the evaluation report to the sharing platform; traverse the diagnostic suggestions from the existing data through keyword retrieval or semantic recognition algorithms, and add the diagnostic suggestions to the conversation.

[0078] In Example 3, Figure 3 The implementation process of the management method for smart health provided by the embodiment of the present invention is shown, and S200 is described in detail below, as follows:

[0079] S201: Draw a trend graph of the change of smart health data with the current time as the horizontal axis and the real-time parameter as the vertical axis.

[0080] With time as the horizontal axis and each number block as the vertical axis, a change trend graph of smart health data is drawn, where each number block corresponds to a change trend graph.

[0081] S202: Integrate multiple levels of threshold lines into the change trend graph and construct an emergency strategy.

[0082] Add multiple levels of threshold lines to the change trend graph, where the multiple levels of threshold lines are composed of multiple thresholds, and determine a corresponding emergency strategy for each threshold; for example, when the change trend graph corresponding to blood sugar reaches the first threshold line, a reminder message about healthy diet and lifestyle is sent to the user; when it reaches the second threshold line, an alarm message is sent to the user; when it reaches the third threshold line, a doctor or medical staff is contacted immediately.

[0083] In Example 4, Figure 4 The implementation process of the management method for smart health provided by an embodiment of the present invention is shown, and S300 is described in detail below, as follows:

[0084] S301: In the sharing platform, a friend list is created, and standard blocks are found to generate mutual assistance pairs.

[0085] In the sharing platform, the connections between users are traversed, friendships are established, and a friend list is generated; if the block corresponding to the user is an abnormal block, a standard block is selected from the user's friend list and a mutual assistance pair is generated.

[0086] S302: Generate a link using the mutual assistance pair, and insert the link into the management tree.

[0087] Link standard blocks and exception blocks within mutual assistance blocks.

[0088] In Example 5, Figure 5 The implementation process of the management method for smart health provided by the embodiment of the present invention is shown, and S400 is described in detail below, as follows:

[0089] S401: configuring a fluctuation range, and establishing a mapping between the fluctuation range and the course of disease.

[0090] The fluctuation range is determined according to different disease courses; for example, during the blood sugar treatment stage, the fluctuation range of the number blocks may be larger, while in the stable period after the treatment, the fluctuation range of the number blocks may be smaller.

[0091] S402: Based on the fluctuation range, the blocks are divided into standard blocks and abnormal blocks, and a transition mechanism is established.

[0092] According to the fluctuation range, the blocks are divided into standard blocks and abnormal blocks. The blocks beyond the fluctuation range are defined as abnormal blocks, and the blocks within the fluctuation range are defined as standard blocks. A transition mechanism is established, in which the transition mechanism is to dynamically update the blocks. When the abnormal blocks gradually fall back into the fluctuation range, they are redefined as standard blocks.

[0093] In Example 6, Figure 5 The implementation process of the management method for smart health provided by the embodiment of the present invention is shown, and S400 is described in detail below, as follows:

[0094] S403: Determine the priority of each abnormal block according to the course of the abnormal block, wherein the priority includes: high, medium and low.

[0095] Determine the priority of each exception block, where the priorities are divided into high, medium, and low.

[0096] S404: Determine the number of links corresponding to each priority level, and adjust the mutual assistance pairs.

[0097] Different priorities correspond to different numbers of links, and a high-priority abnormal block corresponds to a larger number of links; in other words, when a high-priority abnormal block issues an adjustment request, it will be sent to multiple standard blocks at the same time so that the adjustment request can be responded to in a timely manner.

[0098] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes:

[0099] Selecting authorized personnel from the sharing platform, wherein the authorized personnel at least include: medical staff and professional volunteers;

[0100] A root node is inserted into the management tree, the feedback data is uploaded to the root node, and the sending end of the communication link is adjusted to the root node.

[0101] Insert a root node into the middle of the management tree, where the root node is mainly used to coordinate the management of all digital blocks and handle adjustment requests that are not responded to in a timely manner; in addition to allowing post-course users to adjust the device parameters of pre-course users, it also allows medical staff, professional volunteers, etc. to adjust the collection equipment for pre-course users.

[0102] Figure 6 The structure diagram of the management system for smart health provided by an embodiment of the present invention is shown. The management system 1 for smart health includes:

[0103] The clustering module 11 is used to obtain smart health data and divide it into several items, find out the collection device corresponding to each item, create a number block corresponding to the item, read the real-time parameters of the collection device, update the number block, and cluster the number block into several disease courses;

[0104] The calculation module 12 is used to define a starting time, define the real-time reading of the digital block at the starting time as the starting reading, set a monitoring period, and define the real-time reading of the digital block as the end reading after the monitoring period, and calculate the difference between the starting reading and the end reading;

[0105] The mounting module 13 is used to construct the evaluation rules, configure the corresponding relationship between the evaluation rules and the single items, select the standard blocks and the abnormal blocks from each course of disease by using the difference, generate mutual assistance pairs, create a management tree, and embed a tilt mechanism into the management tree, mount the standard blocks on the left side of the management tree, and mount the abnormal blocks on the right side of the management tree;

[0106] A judgment module 14 is used to receive an adjustment request initiated by the abnormal block based on a preset physical key, wherein the adjustment request includes a data item and a device item, and send the adjustment request to the mutual assistance pair to determine whether it has been read;

[0107] If yes, a communication link is built within the mutual assistance pair, and a dialogue is established, and the adjustment authority of the equipment item is opened to the mutual assistance pair;

[0108] If not, the management tree is tilted, a standard block randomly popped out of the management tree is defined as a target block, and a communication link between the target block and the abnormal block within the mutual assistance pair is established.

[0109] Figure 7 The structure diagram of the management system for smart health provided by an embodiment of the present invention is shown, and the clustering module 11 includes:

[0110] The sending unit 111 is used to configure the correlation between the blocks, integrate the correlation, the course of disease and the evaluation rules, generate an evaluation report, and send the evaluation report to the terminal corresponding to the abnormal block;

[0111] The adding unit 112 is used to build a sharing platform, use the evaluation report to traverse the diagnosis suggestions, and integrate the diagnosis suggestions into the dialogue.

[0112] Figure 8 The structure diagram of the management system for smart health provided by an embodiment of the present invention is shown, and the calculation module 12 includes:

[0113] A drawing unit 121 is used to draw a change trend graph of the smart health data with the current time as the horizontal coordinate and the real-time parameter as the vertical coordinate;

[0114] The construction unit 122 is used to integrate multi-level threshold lines into the change trend graph and construct an emergency strategy.

[0115] Fig. 9The structure diagram of the management system for smart health provided by an embodiment of the present invention is shown, and the mounting module 13 includes:

[0116] A generating unit 131 is used to create a friend list in the sharing platform, and find out the standard block to generate a mutual assistance pair;

[0117] The inserting unit 132 is used to generate a link using the mutual assistance pair and insert the link into the management tree.

[0118] Fig.10 The structure diagram of the management system for smart health provided by an embodiment of the present invention is shown, and the judgment module 14 includes:

[0119] A mapping unit 141, configured to configure a fluctuation range and establish a mapping between the fluctuation range and the course of disease;

[0120] An establishing unit 142, used for dividing the number blocks into standard blocks and abnormal blocks according to the fluctuation range, and establishing a transition mechanism;

[0121] A determination unit 143, configured to determine a priority of each abnormal block according to the course of the abnormal block, wherein the priority includes: high, medium and low;

[0122] The adjusting unit 144 is used to determine the number of links corresponding to each priority level and adjust the mutual assistance pairs.

[0123] The clustering module 11 is mainly used to complete step S100, the calculation module 12 is mainly used to complete step S200, the mounting module 13 is mainly used to complete step S300, and the judgment module 14 is mainly used to complete step S400;

[0124] The sending unit 111 is mainly used to complete step S101, and the adding unit 112 is mainly used to complete step S102;

[0125] The drawing unit 121 is mainly used to complete step S201, and the construction unit 122 is mainly used to complete step S202;

[0126] The generating unit 131 is mainly used to complete step S301, and the inserting unit 132 is mainly used to complete step S302;

[0127] The mapping unit 141 is mainly used to complete step S401, the establishing unit 142 is mainly used to complete step S402, the determining unit 143 is mainly used to complete step S403, and the adjusting unit 144 is mainly used to complete step S404.

[0128] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A management method applied to smart health, characterized in that: The method comprises: S100: Obtain smart health data and divide it into several items, find out the collection device corresponding to each item, create blocks corresponding to the items one by one, read out the real-time parameters of the collection device, update the blocks, and cluster the blocks into several disease courses; S200: defining a starting time, and defining the real-time reading of the digital block at the starting time as the starting reading, setting a monitoring period, and defining the real-time reading of the digital block after the monitoring period as the end reading, and calculating the difference between the starting reading and the end reading; S300: constructing evaluation rules, configuring the corresponding relationship between the evaluation rules and the single items, using the difference, selecting standard blocks and abnormal blocks from each course of disease, generating mutual assistance pairs, creating a management tree, and embedding a tilt mechanism into the management tree, mounting the standard blocks on the left side of the management tree, and mounting the abnormal blocks on the right side of the management tree; S400: receiving an adjustment request initiated by the abnormal block based on a preset physical key, wherein the adjustment request includes a data item and a device item, and sending the adjustment request to the mutual assistance pair to determine whether it has been read; If yes, a communication link is built within the mutual assistance pair, and a dialogue is established, and the adjustment authority of the equipment item is opened to the mutual assistance pair; If not, the management tree is tilted, a standard block randomly popped out of the management tree is defined as a target block, and a communication link between the target block and the abnormal block within the mutual assistance pair is established.

2. The management method for smart health according to claim 1, characterized in that: The S100 includes: Configuring the correlation between the blocks, integrating the correlation, the course of disease and the evaluation rules, generating an evaluation report, and sending the evaluation report to the terminal corresponding to the abnormal block; A sharing platform is constructed to utilize the evaluation report to traverse diagnostic suggestions and integrate the diagnostic suggestions into the conversation.

3. The management method for smart health according to claim 1, characterized in that: The S200 includes: With the current time as the horizontal axis and the real-time parameters as the vertical axis, draw a trend chart of the change of smart health data; Integrate multi-level threshold lines into the change trend graph and build an emergency strategy.

4. The management method for smart health according to claim 2, characterized in that: The S300 includes: In the sharing platform, a friend list is created, and standard blocks are found to generate mutual assistance pairs; Using the mutual assistance pairs, links are generated and inserted into a management tree.

5. The management method for smart health according to claim 1, characterized in that: The S400 includes: configuring a fluctuation range and establishing a mapping between the fluctuation range and the course of disease; Based on the fluctuation range, the blocks are divided into standard blocks and abnormal blocks, and a transition mechanism is established.

6. The management method for smart health according to claim 5, characterized in that: The S300 further includes: Determining the priority of each abnormal block according to the course of the abnormal block, wherein the priority includes: high, medium and low; The number of links corresponding to each priority level is determined, and the mutual assistance pairs are adjusted.

7. The management method for smart health according to claim 2, characterized in that: The method further comprises: Selecting authorized personnel from the sharing platform, wherein the authorized personnel at least include: medical staff and professional volunteers; A root node is inserted into the management tree, the adjustment request is uploaded to the root node, and the sending end of the communication link is adjusted to the root node.

8. A management system applied to smart health, characterized in that: The system comprises: A clustering module is used to obtain smart health data and divide it into several items, find out the collection device corresponding to each item, create a number block corresponding to the item, read the real-time parameters of the collection device, update the number block, and cluster the number block into several disease courses; A calculation module is used to define a starting point time, and define the real-time reading of the digital block at the starting point time as the starting point reading, set a monitoring period, and define the real-time reading of the digital block after the monitoring period as the end point reading, and calculate the difference between the starting point reading and the end point reading; A mounting module is used to construct evaluation rules, configure the corresponding relationship between the evaluation rules and the single items, use the difference to select standard blocks and abnormal blocks from each course of disease, generate mutual assistance pairs, create a management tree, and embed a tilt mechanism into the management tree, mount the standard blocks on the left side of the management tree, and mount the abnormal blocks on the right side of the management tree; A judgment module, used for receiving an adjustment request initiated by the abnormal block based on a preset physical key, wherein the adjustment request includes a data item and a device item, sending the adjustment request to the mutual assistance pair, and judging whether it has been read; If yes, a communication link is built within the mutual assistance pair, and a dialogue is established, and the adjustment authority of the equipment item is opened to the mutual assistance pair; If not, the management tree is tilted, a standard block randomly popped out of the management tree is defined as a target block, and a communication link between the target block and the abnormal block within the mutual assistance pair is established.

9. The management system for smart health according to claim 8, characterized in that: The clustering module comprises: A sending unit, configured to configure the correlation between the blocks, integrate the correlation, the course of disease and the evaluation rules, generate an evaluation report, and send the evaluation report to the terminal corresponding to the abnormal block; A unit is added to build a sharing platform, utilize the evaluation report, traverse the diagnosis suggestions, and integrate the diagnosis suggestions into the dialogue.

10. The management system for smart health according to claim 8, characterized in that: The calculation module comprises: A drawing unit is used to draw a trend chart of smart health data changes with the current time as the horizontal coordinate and the real-time parameter as the vertical coordinate; A construction unit is used to integrate multi-level threshold lines into the change trend diagram and construct an emergency strategy.

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