Blood pressure meter data synchronization method and system based on data transmission analysis

Abstract

The present invention relates to a sphygmomanometer data synchronization method and system based on data transmission analysis, and belongs to the technical field of blood pressure data synchronization. The present invention obtains the data synchronization speed of each current data storage area under the current information transmission characteristic data, and generates a first synchronization scheme or a second synchronization scheme based on the information transmission quality evaluation result, and finally obtains the data synchronization requirement information of the current sphygmomanometer. If it is the first synchronization scheme, a related synchronization plan is generated according to the data synchronization speed of each current data storage area under the current information transmission characteristic data and the data synchronization requirement information of the current sphygmomanometer. The present invention analyzes the information transmission characteristic data and the data synchronization speed between the sphygmomanometer and the data synchronization system, so that the sphygmomanometer can be synchronized according to the information transmission characteristic data and the data synchronization speed between the sphygmomanometer and the data synchronization system, and can optimize the synchronization of the sphygmomanometer data, which is beneficial to the remote monitoring of blood pressure.

Description

Technical Field

[0001] The present invention relates to the technical field of blood pressure data synchronization, and in particular to a sphygmomanometer data synchronization method and system based on data transmission analysis. Background Art

[0002] Sphygmomanometers mainly include auscultatory sphygmomanometers and oscillometric sphygmomanometers. Auscultatory method is divided into manual auscultation method and automatic auscultation method. Mercury sphygmomanometers (pressure gauges) and spring gauge sphygmomanometers (pressure gauges) are early manual auscultatory sphygmomanometers. The current manual auscultatory methods include digital sphygmomanometers, light column sphygmomanometers, light display sphygmomanometers, and liquid crystal sphygmomanometers. Smart healthcare is a recently emerging proprietary medical term. It is a medical service model that integrates technologies such as the Internet of Things and cloud computing and is centered on patient data. Smart healthcare uses new sensors, the Internet of Things, communications and other technologies combined with modern medical concepts to build a regional medical information platform centered on electronic health records, integrate business processes between hospitals, optimize regional medical resources, realize online appointments and two-way referrals across medical institutions, shorten the patient's medical process, reduce related procedures, and rationalize the allocation of medical resources, truly achieving patient-centered smart healthcare. In the near future, the medical industry will incorporate more high-tech technologies such as artificial intelligence and sensor technology to make medical services truly intelligent and promote the prosperity and development of the medical industry. In the prior art, the sphygmomanometer has a certain remote information transmission function, which is used to connect to a data synchronization platform, thereby transmitting the sphygmomanometer data to the data synchronization platform to realize remote monitoring of the user's blood pressure. However, when performing data synchronization, the data synchronization speed is too slow, which is not conducive to real-time monitoring of the user's blood pressure. Summary of the invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a sphygmomanometer data synchronization method and system based on data transmission analysis.

[0004] To achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a sphygmomanometer data synchronization method based on data transmission analysis, comprising:

[0006] Acquire information transmission characteristic data between the current sphygmomanometer and the data synchronization system, and obtain an information transmission quality evaluation result by performing information transmission quality evaluation on the information transmission characteristic data;

[0007] Acquire storage capacity data of each data storage area in the data synchronization system, and construct a data synchronization speed knowledge graph according to the storage capacity data of each data storage area in the data synchronization system and information transmission characteristic data;

[0008] Acquire the data synchronization speed of each current data storage area under the current information transmission characteristic data according to the data synchronization speed knowledge graph, and generate a first synchronization scheme or a second synchronization scheme based on the information transmission quality evaluation result;

[0009] The data synchronization requirement information of the current blood pressure monitor is obtained. If it is the first synchronization scheme, a relevant synchronization plan is generated according to the data synchronization speed of each current data storage area under the current information transmission characteristic data and the data synchronization requirement information of the current blood pressure monitor.

[0010] Furthermore, in the sphygmomanometer data synchronization method based on data transmission analysis, information transmission characteristic data between the current sphygmomanometer and the data synchronization system is obtained, and information transmission quality evaluation results are obtained by performing information transmission quality evaluation on the information transmission characteristic data, specifically including:

[0011] Acquire information transmission characteristic data between the current blood pressure monitor and the data synchronization system, set an information transmission characteristic data threshold, and determine whether the information transmission characteristic data between the current blood pressure monitor and the data synchronization system is greater than the information transmission characteristic data threshold;

[0012] When the information transmission characteristic data between the current sphygmomanometer and the data synchronization system is greater than the information transmission characteristic data threshold, the real-time information transmission characteristic data is regarded as a normal information transmission state;

[0013] When the information transmission characteristic data between the current sphygmomanometer and the data synchronization system is not greater than the information transmission characteristic data threshold, the real-time information transmission characteristic data is regarded as an abnormal information transmission state;

[0014] An information transmission quality evaluation result is generated according to the normal information transmission state or the abnormal information transmission state, and the information transmission quality evaluation result is output.

[0015] Furthermore, in the sphygmomanometer data synchronization method based on data transmission analysis, the storage capacity data of each data storage area in the data synchronization system is obtained, and a data synchronization speed knowledge graph is constructed according to the storage capacity data of each data storage area in the data synchronization system and the information transmission characteristic data, specifically:

[0016] Acquire storage capacity data of each data storage area in the data synchronization system, and use the storage capacity data of each data storage area in the data synchronization system and information transmission characteristic data as influencing factors, and test the data synchronization system based on the influencing factors;

[0017] Through testing, the data synchronization speed of each storage capacity data of each data storage area in the data synchronization system and each information transmission characteristic data is obtained, and a knowledge graph of data synchronization speed is constructed;

[0018] Introducing a graph neural network, inputting each storage capacity data of each data storage area in the data synchronization system and the data synchronization speed under each information transmission characteristic data into the graph neural network, and using the storage capacity data and the information transmission characteristic data as the first node of the graph neural network;

[0019] The data synchronization speed is used as the second node of the graph neural network, a topological structure graph is constructed based on the first node and the second node, and the topological structure graph is input into the data synchronization speed knowledge graph for storage.

[0020] Furthermore, in the sphygmomanometer data synchronization method based on data transmission analysis, the data synchronization speed of each current data storage area under the current information transmission characteristic data is obtained according to the data synchronization speed knowledge graph, specifically including:

[0021] Acquire storage capacity data and information transmission characteristic data of each data storage area in the current data synchronization system, and input the storage capacity data and information transmission characteristic data of each data storage area in the current data synchronization system into the data synchronization speed knowledge graph for data matching;

[0022] By data matching, the data synchronization speed of each current data storage area under the current information transmission characteristic data is obtained, and the data synchronization speed of each current data storage area under the current information transmission characteristic data is output.

[0023] Furthermore, in the sphygmomanometer data synchronization method based on data transmission analysis, generating a first synchronization scheme or a second synchronization scheme based on the information transmission quality evaluation result specifically includes:

[0024] When the information transmission quality evaluation result is a normal information transmission state, a first synchronization scheme is generated and the first synchronization scheme is output;

[0025] When the information transmission quality evaluation result is a normal information transmission state, a stop synchronization instruction is generated, and a second synchronization scheme is generated based on the synchronization instruction, and the second synchronization scheme is output.

[0026] Further, in the sphygmomanometer data synchronization method based on data transmission analysis, if it is the first synchronization scheme, a relevant synchronization plan is generated according to the data synchronization speed of each current data storage area under the current information transmission characteristic data and the data synchronization requirement information of the current sphygmomanometer, specifically:

[0027] If it is the first synchronization scheme, it is determined whether the data synchronization requirement information of the current blood pressure monitor is greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data;

[0028] When the data synchronization requirement information of the current blood pressure meter is greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data, the corresponding data storage area is used as a non-priority data storage area;

[0029] When the data synchronization requirement information of the current blood pressure meter is not greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data, the corresponding data storage area is used as a priority data storage area, and a related synchronization plan is generated;

[0030] Monitor the data synchronization speed of each priority data storage area in each timestamp. When the data synchronization speed of each priority data storage area in each timestamp is not greater than the data synchronization requirement information of the current blood pressure monitor, re-plan the relevant synchronization plan.

[0031] A second aspect of the present invention provides a blood pressure meter data synchronization system based on data transmission analysis, comprising a memory and a processor, wherein the memory includes a blood pressure meter data synchronization method program based on data transmission analysis, and when the blood pressure meter data synchronization method program based on data transmission analysis is executed by the processor, any step of the blood pressure meter data synchronization method based on data transmission analysis is implemented.

[0032] The third invention of the present invention provides a computer-readable storage medium, including a blood pressure meter data synchronization method program based on data transmission analysis. When the blood pressure meter data synchronization method program based on data transmission analysis is executed by a processor, any step of the blood pressure meter data synchronization method based on data transmission analysis is implemented.

[0033] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0034] The present invention obtains information transmission characteristic data between the current sphygmomanometer and the data synchronization system, and obtains the information transmission quality evaluation result by performing information transmission quality evaluation on the information transmission characteristic data, thereby obtaining the storage capacity data of each data storage area in the data synchronization system, and constructing a data synchronization speed knowledge graph according to the storage capacity data of each data storage area in the data synchronization system and the information transmission characteristic data, thereby obtaining the data synchronization speed of each current data storage area under the current information transmission characteristic data according to the data synchronization speed knowledge graph, and generating a first synchronization scheme or a second synchronization scheme based on the information transmission quality evaluation result, and finally obtaining the data synchronization requirement information of the current sphygmomanometer. If it is the first synchronization scheme, a relevant synchronization plan is generated according to the data synchronization speed of each current data storage area under the current information transmission characteristic data and the data synchronization requirement information of the current sphygmomanometer. The present invention analyzes the information transmission characteristic data and the data synchronization speed between the sphygmomanometer and the data synchronization system, thereby being able to synchronize the sphygmomanometer according to the information transmission characteristic data and the data synchronization speed between the sphygmomanometer and the data synchronization system, and optimizing the synchronization of the sphygmomanometer data, which is beneficial to remote monitoring of blood pressure. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0036] Figure 1 The overall flow chart of the sphygmomanometer data synchronization method based on data transmission analysis is shown;

[0037] Figure 2 A partial method flow chart of a sphygmomanometer data synchronization method based on data transmission analysis is shown;

[0038] Figure 3 The system block diagram of the sphygmomanometer data synchronization system based on data transmission analysis is shown. DETAILED DESCRIPTION

[0039] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0040] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below. Example 1

[0041] like Figure 1 As shown, the first aspect of the present invention provides a sphygmomanometer data synchronization method based on data transmission analysis, comprising:

[0042] S102: Acquire information transmission characteristic data between the current sphygmomanometer and the data synchronization system, and obtain an information transmission quality evaluation result by evaluating the information transmission quality of the information transmission characteristic data;

[0043] S104: Acquire storage capacity data of each data storage area in the data synchronization system, and construct a data synchronization speed knowledge graph according to the storage capacity data of each data storage area in the data synchronization system and information transmission characteristic data;

[0044] S106: Obtaining the data synchronization speed of each current data storage area under the current information transmission characteristic data according to the data synchronization speed knowledge graph, and generating a first synchronization scheme or a second synchronization scheme based on the information transmission quality evaluation result;

[0045] S108: Obtain the data synchronization requirement information of the current blood pressure monitor. If it is the first synchronization scheme, generate a relevant synchronization plan according to the data synchronization speed of each data storage area under the current information transmission characteristic data and the data synchronization requirement information of the current blood pressure monitor.

[0046] It should be noted that the present invention analyzes the information transmission characteristic data and the data synchronization speed between the blood pressure monitor and the data synchronization system, so that the blood pressure monitor can be synchronized according to the information transmission characteristic data and the data synchronization speed between the blood pressure monitor and the data synchronization system, thereby optimizing the synchronization of the blood pressure monitor data and facilitating remote monitoring of blood pressure.

[0047] Furthermore, in the sphygmomanometer data synchronization method based on data transmission analysis, information transmission characteristic data between the current sphygmomanometer and the data synchronization system is obtained, and information transmission quality evaluation results are obtained by performing information transmission quality evaluation on the information transmission characteristic data, specifically including:

[0048] Acquire information transmission characteristic data between the current blood pressure monitor and the data synchronization system, set an information transmission characteristic data threshold, and determine whether the information transmission characteristic data between the current blood pressure monitor and the data synchronization system is greater than the information transmission characteristic data threshold;

[0049] When the information transmission characteristic data between the current sphygmomanometer and the data synchronization system is greater than the information transmission characteristic data threshold, the real-time information transmission characteristic data is regarded as a normal information transmission state;

[0050] When the information transmission characteristic data between the current sphygmomanometer and the data synchronization system is not greater than the information transmission characteristic data threshold, the real-time information transmission characteristic data is regarded as an abnormal information transmission state;

[0051] An information transmission quality evaluation result is generated according to the normal information transmission state or the abnormal information transmission state, and the information transmission quality evaluation result is output.

[0052] It should be noted that the information transmission characteristic data includes upload information transmission speed, bit error rate, download information transmission rate, network delay and other data. This method can obtain the information transmission quality evaluation result.

[0053] Furthermore, in the sphygmomanometer data synchronization method based on data transmission analysis, the storage capacity data of each data storage area in the data synchronization system is obtained, and a data synchronization speed knowledge graph is constructed according to the storage capacity data of each data storage area in the data synchronization system and the information transmission characteristic data, specifically:

[0054] Acquire storage capacity data of each data storage area in the data synchronization system, and use the storage capacity data of each data storage area in the data synchronization system and information transmission characteristic data as influencing factors, and test the data synchronization system based on the influencing factors;

[0055] Through testing, the data synchronization speed under each storage capacity data of each data storage area and each information transmission characteristic data in the data synchronization system is obtained, and a knowledge graph of data synchronization speed is constructed;

[0056] Introduce a graph neural network, input the storage capacity data of each data storage area in the data synchronization system and the data synchronization speed under each information transmission characteristic data into the graph neural network, and use the storage capacity data and the information transmission characteristic data as the first node of the graph neural network;

[0057] The data synchronization speed is used as the second node of the graph neural network, and a topological structure graph is constructed based on the first node and the second node. The topological structure graph is input into the data synchronization speed knowledge graph for storage.

[0058] It should be noted that, in fact, the information transmission rate affects the transmission of blood pressure data, which will affect the synchronization of blood pressure data to the data synchronization system and the remote monitoring platform; secondly, when the data storage capacity is higher than a certain amount, when data synchronization is performed, the larger the data storage capacity of the monitoring platform and the data synchronization system, the more time it takes to find space for storage, which leads to a decrease in data synchronization speed. This method can construct a data synchronization speed knowledge graph to predict the data synchronization speed.

[0059] Furthermore, in the sphygmomanometer data synchronization method based on data transmission analysis, the data synchronization speed of each current data storage area under the current information transmission characteristic data is obtained according to the data synchronization speed knowledge graph, specifically including:

[0060] Obtain storage capacity data and information transmission characteristic data of each data storage area in the current data synchronization system, and input the storage capacity data and information transmission characteristic data of each data storage area in the current data synchronization system into the data synchronization speed knowledge graph for data matching;

[0061] Through data matching, the data synchronization speed of each current data storage area under the current information transmission characteristic data is obtained, and the data synchronization speed of each current data storage area under the current information transmission characteristic data is output.

[0062] It should be noted that, through this method, the data synchronization speed of each current data storage area under the current information transmission characteristic data can be obtained.

[0063] Furthermore, in the sphygmomanometer data synchronization method based on data transmission analysis, a first synchronization scheme or a second synchronization scheme is generated based on the information transmission quality evaluation result, specifically including:

[0064] When the information transmission quality evaluation result is a normal information transmission state, a first synchronization scheme is generated and the first synchronization scheme is output;

[0065] When the information transmission quality evaluation result is a normal information transmission state, a stop synchronization instruction is generated, and a second synchronization scheme is generated based on the synchronization instruction, and the second synchronization scheme is output.

[0066] like Figure 2 As shown, further, in the sphygmomanometer data synchronization method based on data transmission analysis, if it is the first synchronization scheme, a relevant synchronization plan is generated according to the data synchronization speed of each current data storage area under the current information transmission characteristic data and the data synchronization requirement information of the current sphygmomanometer, specifically:

[0067] S202: If it is the first synchronization scheme, it is determined whether the data synchronization requirement information of the current blood pressure monitor is greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data;

[0068] S204: when the data synchronization requirement information of the current blood pressure meter is greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data, the corresponding data storage area is used as a non-priority data storage area;

[0069] S206: When the data synchronization requirement information of the current blood pressure monitor is not greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data, the corresponding data storage area is used as a priority data storage area, and a related synchronization plan is generated;

[0070] S208: Monitor the data synchronization speed of each priority data storage area at each timestamp. When the data synchronization speed of each priority data storage area at each timestamp is not greater than the data synchronization requirement information of the current blood pressure monitor, re-plan the relevant synchronization plan.

[0071] It should be noted that this method can improve the synchronization rationality of sphygmomanometer data and optimize remote monitoring of blood pressure.

[0072] In addition, the data synchronization speed of each priority data storage area at each timestamp is monitored, and when the data synchronization speed of each priority data storage area at each timestamp is greater than the data synchronization requirement information of the current blood pressure monitor, the relevant synchronization plan is replanned, further comprising:

[0073] Introducing a genetic algorithm, and setting a genetic generation based on the genetic algorithm, monitoring the data synchronization speed of each priority data storage area at each timestamp, and when the data synchronization speed of each priority data storage area at each timestamp is greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data, initializing the storage capacity of each priority data storage area;

[0074] Predicting the data synchronization speed of each priority data storage area at each timestamp according to the storage capacity of each priority data storage area and the data synchronization speed knowledge graph, and determining whether the data synchronization speed of the priority data storage area at each timestamp is greater than the data synchronization requirement information of the current blood pressure monitor;

[0075] When the data synchronization speed of the priority data storage area in each timestamp is greater than the data synchronization requirement information of the current sphygmomanometer, the storage capacity of each priority data storage area is output, and data is stored according to the storage capacity of each priority data storage area;

[0076] When the data synchronization speed of the priority data storage area in each timestamp is not greater than the data synchronization requirement information of the current blood pressure monitor, inheritance is performed based on the genetic algebra to update the storage capacity of the priority data storage area until it is greater than the data synchronization requirement information of the current blood pressure monitor, and the relevant synchronization plan is re-planned according to the updated storage capacity of the priority data storage area.

[0077] It should be noted that the storage capacity of each storage area can be found through genetic algorithms, thereby optimizing data synchronization and improving the rationality of remote blood pressure monitoring.

[0078] In addition, the method further comprises:

[0079] Obtain the operating status information of each data storage area of ​​the data synchronization system, and obtain the paralysis probability value of the data storage area under each operating state through big data, and build a data storage area paralysis probability prediction model based on a deep neural network;

[0080] Inputting the paralysis probability values ​​of the data storage area under each operating state into the data storage area paralysis probability prediction model for training, and obtaining a trained data storage area paralysis probability prediction model;

[0081] Inputting the operation status information of each data storage area of ​​the data synchronization system into the trained data storage area paralysis probability prediction model for prediction, and obtaining the paralysis probability value under the operation status information of each data storage area of ​​the data synchronization system;

[0082] A data storage area having a paralysis probability value lower than a preset paralysis probability value is obtained, and the data storage area having a paralysis probability value lower than the preset paralysis probability value is used as a data storage area for optimizing data storage.

[0083] It should be noted that the operating status information includes the data storage capacity status, the number of visits to each data storage area within a unit time, the number of data queries to each data storage area within a unit time, etc. In fact, when the number of visits to each data storage area within a unit time and the number of data queries to each data storage area within a unit time continue to increase, the probability value of paralysis of the data storage area will increase. This method can further optimize the data synchronization of sphygmomanometer data. Example 2

[0084] like Figure 3As shown, the second aspect of the present invention provides a sphygmomanometer data synchronization system 4 based on data transmission analysis, including a memory 41 and a processor 42, wherein the memory 41 includes a sphygmomanometer data synchronization method program based on data transmission analysis, and when the sphygmomanometer data synchronization method program based on data transmission analysis is executed by the processor 42, the technical solution of embodiment 1 is implemented, which includes:

[0085] Acquire information transmission characteristic data between the current sphygmomanometer and the data synchronization system, and obtain information transmission quality evaluation results by evaluating the information transmission quality of the information transmission characteristic data;

[0086] Obtain storage capacity data of each data storage area in the data synchronization system, and construct a data synchronization speed knowledge graph based on the storage capacity data of each data storage area in the data synchronization system and information transmission characteristic data;

[0087] Obtaining the data synchronization speed of each current data storage area under the current information transmission characteristic data according to the data synchronization speed knowledge graph, and generating a first synchronization scheme or a second synchronization scheme based on the information transmission quality evaluation result;

[0088] The data synchronization requirement information of the current blood pressure monitor is obtained. If it is the first synchronization scheme, a relevant synchronization plan is generated according to the data synchronization speed of each data storage area under the current information transmission characteristic data and the data synchronization requirement information of the current blood pressure monitor.

[0089] Furthermore, in the sphygmomanometer data synchronization system based on data transmission analysis, information transmission characteristic data between the current sphygmomanometer and the data synchronization system is obtained, and information transmission quality evaluation results are obtained by performing information transmission quality evaluation on the information transmission characteristic data, specifically including:

[0090] Acquire information transmission characteristic data between the current blood pressure monitor and the data synchronization system, set an information transmission characteristic data threshold, and determine whether the information transmission characteristic data between the current blood pressure monitor and the data synchronization system is greater than the information transmission characteristic data threshold;

[0091] When the information transmission characteristic data between the current sphygmomanometer and the data synchronization system is greater than the information transmission characteristic data threshold, the real-time information transmission characteristic data is regarded as a normal information transmission state;

[0092] When the current information transmission characteristic data between the sphygmomanometer and the data synchronization system is not greater than the information transmission characteristic data threshold, the real-time information transmission characteristic data is regarded as an abnormal information transmission state.

[0093] Furthermore, in the sphygmomanometer data synchronization system based on data transmission analysis, the storage capacity data of each data storage area in the data synchronization system is obtained, and a data synchronization speed knowledge graph is constructed according to the storage capacity data of each data storage area in the data synchronization system and the information transmission characteristic data, specifically:

[0094] Acquire storage capacity data of each data storage area in the data synchronization system, and use the storage capacity data of each data storage area in the data synchronization system and information transmission characteristic data as influencing factors, and test the data synchronization system based on the influencing factors;

[0095] Through testing, the data synchronization speed of each storage capacity data of each data storage area in the data synchronization system and each information transmission characteristic data is obtained, and a knowledge graph of data synchronization speed is constructed;

[0096] Introduce a graph neural network, input the storage capacity data of each data storage area in the data synchronization system and the data synchronization speed under each information transmission characteristic data into the graph neural network, and use the storage capacity data and the information transmission characteristic data as the first node of the graph neural network;

[0097] The data synchronization speed is used as the second node of the graph neural network, and a topological structure graph is constructed based on the first node and the second node. The topological structure graph is input into the data synchronization speed knowledge graph for storage.

[0098] Furthermore, in the sphygmomanometer data synchronization system based on data transmission analysis, the data synchronization speed of each current data storage area under the current information transmission characteristic data is obtained according to the data synchronization speed knowledge graph, specifically including:

[0099] Obtain storage capacity data and information transmission characteristic data of each data storage area in the current data synchronization system, and input the storage capacity data and information transmission characteristic data of each data storage area in the current data synchronization system into the data synchronization speed knowledge graph for data matching;

[0100] Through data matching, the data synchronization speed of each current data storage area under the current information transmission characteristic data is obtained, and the data synchronization speed of each current data storage area under the current information transmission characteristic data is output.

[0101] Furthermore, in the sphygmomanometer data synchronization system based on data transmission analysis, a first synchronization scheme or a second synchronization scheme is generated based on the information transmission quality evaluation result, specifically including:

[0102] When the information transmission quality evaluation result is a normal information transmission state, a first synchronization scheme is generated and the first synchronization scheme is output;

[0103] When the information transmission quality evaluation result is a normal information transmission state, a stop synchronization instruction is generated, and a second synchronization scheme is generated based on the synchronization instruction, and the second synchronization scheme is output.

[0104] Further, in the sphygmomanometer data synchronization system based on data transmission analysis, if it is the first synchronization scheme, a relevant synchronization plan is generated according to the data synchronization speed of each current data storage area under the current information transmission characteristic data and the data synchronization requirement information of the current sphygmomanometer, specifically:

[0105] If it is the first synchronization scheme, it is determined whether the data synchronization requirement information of the current blood pressure monitor is greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data;

[0106] When the data synchronization requirement information of the current blood pressure monitor is greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data, the corresponding data storage area is used as a non-priority data storage area;

[0107] When the data synchronization requirement information of the current blood pressure monitor is not greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data, the corresponding data storage area is used as a priority data storage area, and a related synchronization plan is generated;

[0108] Monitor the data synchronization speed of each priority data storage area at each timestamp. When the data synchronization speed of each priority data storage area at each timestamp is greater than the data synchronization requirement information of the current blood pressure monitor, re-plan the relevant synchronization plan. Example 3

[0109] The third invention of the present invention provides a computer-readable storage medium, including a sphygmomanometer data synchronization method program based on data transmission analysis. When the sphygmomanometer data synchronization method program based on data transmission analysis is executed by a processor, the technical solution of Example 1 is implemented.

[0110] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0111] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0112] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0113] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0114] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0115] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A sphygmomanometer data synchronization method based on data transmission analysis, characterized in that: include: Acquire information transmission characteristic data between the current sphygmomanometer and the data synchronization system, and obtain an information transmission quality evaluation result by performing information transmission quality evaluation on the information transmission characteristic data; Acquire storage capacity data of each data storage area in the data synchronization system, and construct a data synchronization speed knowledge graph according to the storage capacity data of each data storage area in the data synchronization system and information transmission characteristic data; Acquire the data synchronization speed of each current data storage area under the current information transmission characteristic data according to the data synchronization speed knowledge graph, and generate a first synchronization scheme or a second synchronization scheme based on the information transmission quality evaluation result; Acquire the data synchronization requirement information of the current blood pressure monitor, and if it is the first synchronization scheme, generate a relevant synchronization plan according to the data synchronization speed of each current data storage area under the current information transmission characteristic data and the data synchronization requirement information of the current blood pressure monitor; The storage capacity data of each data storage area in the data synchronization system is obtained, and a data synchronization speed knowledge graph is constructed according to the storage capacity data of each data storage area in the data synchronization system and the information transmission characteristic data, specifically: Acquire storage capacity data of each data storage area in the data synchronization system, and use the storage capacity data of each data storage area in the data synchronization system and information transmission characteristic data as influencing factors, and test the data synchronization system based on the influencing factors; Through testing, the data synchronization speed under each storage capacity data of each data storage area and each information transmission characteristic data in the data synchronization system is obtained, and a knowledge graph of data synchronization speed is constructed; Introducing a graph neural network, inputting each storage capacity data of each data storage area in the data synchronization system and the data synchronization speed under each information transmission characteristic data into the graph neural network, and using the storage capacity data and the information transmission characteristic data as the first node of the graph neural network; The data synchronization speed is used as the second node of the graph neural network, a topological structure graph is constructed based on the first node and the second node, and the topological structure graph is input into the data synchronization speed knowledge graph for storage.

2. The method for synchronizing sphygmomanometer data based on data transmission analysis according to claim 1, characterized in that: Acquiring information transmission characteristic data between the current sphygmomanometer and the data synchronization system, and obtaining an information transmission quality evaluation result by performing information transmission quality evaluation on the information transmission characteristic data, specifically including: Acquire information transmission characteristic data between the current blood pressure monitor and the data synchronization system, set an information transmission characteristic data threshold, and determine whether the information transmission characteristic data between the current blood pressure monitor and the data synchronization system is greater than the information transmission characteristic data threshold; When the information transmission characteristic data between the current sphygmomanometer and the data synchronization system is greater than the information transmission characteristic data threshold, the real-time information transmission characteristic data is regarded as a normal information transmission state; When the information transmission characteristic data between the current sphygmomanometer and the data synchronization system is not greater than the information transmission characteristic data threshold, the real-time information transmission characteristic data is regarded as an abnormal information transmission state; An information transmission quality evaluation result is generated according to the normal information transmission state or the abnormal information transmission state, and the information transmission quality evaluation result is output.

3. The method for synchronizing sphygmomanometer data based on data transmission analysis according to claim 1, characterized in that: Acquiring the data synchronization speed of each current data storage area under the current information transmission characteristic data according to the data synchronization speed knowledge graph specifically includes: Acquire storage capacity data and information transmission characteristic data of each data storage area in the current data synchronization system, and input the storage capacity data and information transmission characteristic data of each data storage area in the current data synchronization system into the data synchronization speed knowledge graph for data matching; By data matching, the data synchronization speed of each current data storage area under the current information transmission characteristic data is obtained, and the data synchronization speed of each current data storage area under the current information transmission characteristic data is output.

4. The method for synchronizing sphygmomanometer data based on data transmission analysis according to claim 1, characterized in that: Generating a first synchronization scheme or a second synchronization scheme based on the information transmission quality evaluation result specifically includes: When the information transmission quality evaluation result is a normal information transmission state, a first synchronization scheme is generated and the first synchronization scheme is output; When the information transmission quality evaluation result is an abnormal information transmission state, a stop synchronization instruction is generated, and a second synchronization scheme is generated based on the synchronization instruction, and the second synchronization scheme is output.

5. The method for synchronizing sphygmomanometer data based on data transmission analysis according to claim 1, characterized in that: If it is the first synchronization scheme, a relevant synchronization plan is generated according to the data synchronization speed of each current data storage area under the current information transmission characteristic data and the data synchronization requirement information of the current blood pressure monitor, specifically: If it is the first synchronization scheme, it is determined whether the data synchronization requirement information of the current blood pressure monitor is greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data; When the data synchronization requirement information of the current blood pressure meter is greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data, the corresponding data storage area is used as a non-priority data storage area; When the data synchronization requirement information of the current blood pressure meter is not greater than the data synchronization speed of each current data storage area under the current information transmission characteristic data, the corresponding data storage area is used as a priority data storage area, and a related synchronization plan is generated; Monitor the data synchronization speed of each priority data storage area in each timestamp. When the data synchronization speed of each priority data storage area in each timestamp is not greater than the data synchronization requirement information of the current blood pressure monitor, re-plan the relevant synchronization plan.

6. A sphygmomanometer data synchronization system based on data transmission analysis, characterized in that: It includes a memory and a processor, wherein the memory includes a blood pressure meter data synchronization method program based on data transmission analysis, and when the blood pressure meter data synchronization method program based on data transmission analysis is executed by the processor, the steps of the blood pressure meter data synchronization method based on data transmission analysis as described in any one of claims 1-5 are implemented.

7. A computer-readable storage medium, characterized in that: It includes a blood pressure meter data synchronization method program based on data transmission analysis. When the blood pressure meter data synchronization method program based on data transmission analysis is executed by a processor, the steps of the blood pressure meter data synchronization method based on data transmission analysis as described in any one of claims 1-5 are implemented.

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