CN110974200A

CN110974200A - Sphygmomanometer calibration method and system, electronic sphygmomanometer and calibration server

Info

Publication number: CN110974200A
Application number: CN201911250684.XA
Authority: CN
Inventors: 伊雅炜
Original assignee: Shenzhen Kexun Hengda Medical Technology Co Ltd
Current assignee: Shenzhen Kexun Hengda Medical Technology Co Ltd
Priority date: 2019-12-09
Filing date: 2019-12-09
Publication date: 2020-04-10

Abstract

The invention discloses a sphygmomanometer calibration method and system, an electronic sphygmomanometer and a calibration server. The method comprises the following steps executed by the electronic sphygmomanometer: receiving an automatic calibration instruction, and acquiring an instruction source corresponding to the automatic calibration instruction; triggering and executing an automatic calibration task to acquire calibration result data corresponding to the electronic sphygmomanometer in real time based on the automatic calibration instruction; and if the instruction source is a calibration server, sending the calibration result data to the calibration server so that the calibration server performs a data analysis task to perform calibration analysis on the calibration result data to obtain a calibration result of the sphygmomanometer. The method can enable the calibration result data to be automatically collected when the electronic sphygmomanometer executes the automatic calibration task, does not need manual intervention, is beneficial to improving the collection efficiency of the calibration result data and reducing the cost, and carries out automatic calibration analysis on the calibration result data through the data analysis task, improves the calibration efficiency and reduces the calibration cost.

Description

Sphygmomanometer calibration method and system, electronic sphygmomanometer and calibration server

Technical Field

The invention relates to the technical field of medical instruments, in particular to a sphygmomanometer calibration method and system, an electronic sphygmomanometer and a calibration server.

Background

At present, more and more hospitals adopt electronic blood pressure meters to replace traditional mercury sphygmomanometer, and the deployed electronic blood pressure meters can be dozens of or hundreds of medical institutions such as hospitals or clinics with higher electronic transformation degree. As vulnerable equipment, the electronic sphygmomanometer needs to be frequently checked, calibrated and replaced manually so as to avoid medical risks caused by equipment abnormality, and the process is high in labor cost and low in efficiency. Different from the household application of the electronic sphygmomanometer, the daily use frequency of the electronic sphygmomanometer deployed in the medical institution is higher, the service life of the electronic sphygmomanometer is seriously shortened due to the high-frequency use, the frequency of checking, calibrating or overall replacing of the electronic sphygmomanometer deployed in the medical institution is higher, and the manual checking and calibrating cost is higher. In order to overcome the defects of manual inspection, a technology capable of automatically inspecting whether the electronic sphygmomanometer fails is urgently needed to be provided, so that the electronic sphygmomanometer is inspected in time and effectively early warned, and adverse consequences caused by blood pressure measurement result deviation due to abnormity of the electronic sphygmomanometer are avoided.

Disclosure of Invention

The embodiment of the invention provides a sphygmomanometer calibration method and system, an electronic sphygmomanometer and a calibration server, and aims to solve the problems of high cost and low efficiency in the current manual sphygmomanometer checking and calibrating process.

The embodiment of the invention provides a sphygmomanometer calibration method, which comprises the following steps executed by an electronic sphygmomanometer:

receiving an automatic calibration instruction, and acquiring an instruction source corresponding to the automatic calibration instruction;

triggering and executing an automatic calibration task to acquire calibration result data corresponding to the electronic sphygmomanometer in real time based on the automatic calibration instruction;

and if the instruction source is a calibration server, sending the calibration result data to the calibration server so that the calibration server performs a data analysis task to perform calibration analysis on the calibration result data to obtain a calibration result of the sphygmomanometer.

Preferably, after the triggering execution of the automatic calibration task and the real-time acquisition of calibration result data corresponding to the electronic sphygmomanometer, the sphygmomanometer calibration method further includes:

if the instruction source is not the calibration server, performing a data analysis task to perform calibration analysis on the calibration result data to obtain a calibration result of the sphygmomanometer;

and if the calibration result of the sphygmomanometer is abnormal, triggering and executing an abnormal alarm mechanism.

Preferably, the electronic sphygmomanometer comprises two pressure sensors which are arranged on an air circuit module and used for adopting air pressure values, and the air circuit module comprises a blood pressure cuff, an air pump connected with the blood pressure cuff and a deflation valve;

the triggering execution of the automatic calibration task is used for collecting calibration result data corresponding to the electronic sphygmomanometer in real time, and the method comprises the following steps:

controlling the air pump to boost the air pressure in the air path module to a boosted air pressure threshold value, and acquiring air pressure boosting time and a first pressure array acquired by the two pressure sensors;

after the boosting duration, acquiring a second pressure array acquired by the two pressure sensors;

and sequentially controlling the air pressure inside the air circuit module to be reduced to at least two deflation air pressure thresholds by the deflation valve, and acquiring deflation working time corresponding to the at least two deflation air pressure thresholds and two third pressure arrays adopted by the pressure sensors.

Preferably, the executing the data analysis task performs calibration analysis on the calibration result data to obtain a calibration result of the sphygmomanometer, including:

performing sensor calibration analysis based on the first pressure array, the second pressure array and at least two third pressure arrays to obtain a sensor analysis result;

performing air pump calibration analysis based on the air pressure boosting time and a preset boosting time to obtain an air pump analysis result;

performing air tightness calibration analysis based on the second pressure array and the boosting air pressure threshold value to obtain an air tightness analysis result;

carrying out calibration analysis on the air release valve based on at least two air release working times and preset air release time to obtain an air release valve analysis result;

if at least one of the sensor analysis result, the air pump analysis result, the air tightness analysis result and the deflation valve analysis result is abnormal, acquiring a sphygmomanometer calibration result of the abnormal sphygmomanometer;

and if the sensor analysis result, the air pump analysis result, the air tightness analysis result and the deflation valve analysis result are not abnormal, obtaining a normal sphygmomanometer calibration result of the sphygmomanometer.

Preferably, the obtaining of the auto-calibration instruction includes:

acquiring a blood pressure acquisition instruction, and acquiring calibration interval time based on the current time and the last calibration time of the system corresponding to the blood pressure acquisition instruction;

and if the calibration interval time is greater than a preset time threshold, acquiring an automatic calibration instruction.

The embodiment of the invention provides a sphygmomanometer calibration method, which comprises the following steps executed by a calibration server:

acquiring an automatic calibration instruction, and sending the automatic calibration instruction to an electronic sphygmomanometer;

waiting for receiving calibration result data acquired by the electronic sphygmomanometer in real time after executing an automatic calibration task within data acquisition time;

and if the calibration result data is received within the data acquisition time, performing a data analysis task to perform calibration analysis on the calibration result data to obtain a calibration result of the sphygmomanometer.

Preferably, after waiting for receiving calibration result data acquired by the electronic sphygmomanometer in real time after executing an automatic calibration task within the data acquisition time, the sphygmomanometer calibration method further comprises:

if the calibration result data is not received within the data acquisition time, updating the first instruction sending times, and judging whether the first instruction sending times reach a first time threshold value or not;

if the sending times of the first instruction reach the first time threshold value, acquiring an abnormal sphygmomanometer calibration result of the sphygmomanometer;

and if the sending times of the first instruction do not reach the first time threshold value, executing the automatic calibration instruction to be sent to the electronic sphygmomanometer.

Preferably, after the sending of the automatic calibration instruction to the electronic sphygmomanometer and before the waiting for receiving the calibration result data acquired by the electronic sphygmomanometer in real time after the automatic calibration instruction is sent to the electronic sphygmomanometer, the calibration method of the sphygmomanometer further comprises:

waiting for receiving task confirmation information sent by the electronic sphygmomanometer within instruction confirmation time;

if the task confirmation information is received within the instruction confirmation time, executing the calibration result data which is acquired by the electronic sphygmomanometer in real time and waits for receiving the automatic calibration task within the data acquisition time;

if the task confirmation information is not received within the instruction confirmation time, updating the second instruction sending times, and judging whether the second instruction sending times reach a second time threshold value or not;

if the sending times of the second instruction reach the second time threshold value, acquiring an abnormal sphygmomanometer calibration result;

and if the sending times of the second instruction do not reach the second time threshold value, executing the automatic calibration instruction to be sent to the electronic sphygmomanometer.

Preferably, the calibration result data includes: the electronic sphygmomanometer controls an air pressure boosting time acquired when an air pump is controlled to boost the air pressure in an air path module to a boosting air pressure threshold value and a first pressure array acquired by two pressure sensors, a second pressure array acquired by the electronic sphygmomanometer after the boosting duration time and acquired by the two pressure sensors, and the electronic sphygmomanometer controls a deflation valve to reduce the air pressure in the air path module to at least two deflation air pressure threshold values in sequence, so that deflation working time corresponding to the at least two deflation air pressure threshold values and a third pressure array adopted by the two pressure sensors are acquired;

the executing data analysis task carries out calibration analysis on the calibration result data to obtain the calibration result of the sphygmomanometer, and the calibration result comprises the following steps:

The embodiment of the invention provides an electronic sphygmomanometer, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes the sphygmomanometer calibration method when executing the computer program.

An embodiment of the present invention provides a calibration server, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the calibration server implements the above calibration method for a blood pressure meter.

The invention provides a sphygmomanometer calibration system, which comprises a calibration server and at least two electronic sphygmomanometers which are in communication connection with the calibration server, wherein the calibration server and the electronic sphygmomanometers are respectively provided with a memory, a processor and a computer program which is stored in the memory and can run on the processor, the computer program in the electronic sphygmomanometer realizes the sphygmomanometer calibration method when being executed by the processor, and the computer program in the calibration server realizes the sphygmomanometer calibration method when being executed by the processor.

According to the sphygmomanometer calibration method and system, the electronic sphygmomanometer and the calibration server, after the electronic sphygmomanometer receives the automatic calibration instruction, the electronic sphygmomanometer is triggered to execute the automatic calibration task to acquire the calibration result data corresponding to the electronic sphygmomanometer in real time, so that the calibration result data can be acquired by the electronic sphygmomanometer when the electronic sphygmomanometer executes the automatic calibration task, manual intervention is not needed, the acquisition efficiency of the calibration result data is improved, and the cost is reduced; the calibration result data is calibrated and analyzed through the data analysis task, and the calibration result of the sphygmomanometer is obtained, so that the calibration result data is automatically calibrated and analyzed, the calibration efficiency is improved, and the calibration cost is reduced.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.

FIG. 1 is a schematic diagram of an application environment of a method for calibrating a blood pressure monitor according to an embodiment of the present invention;

FIG. 2 is a flow chart of a method for calibrating a sphygmomanometer according to an embodiment of the present invention;

FIG. 3 is another flow chart of a method for calibrating a sphygmomanometer in accordance with an embodiment of the present invention;

FIG. 4 is another flow chart of a method for calibrating a sphygmomanometer in accordance with an embodiment of the present invention;

FIG. 5 is another flow chart of a method for calibrating a sphygmomanometer in accordance with an embodiment of the present invention;

FIG. 6 is another flow chart of a method for calibrating a sphygmomanometer in accordance with an embodiment of the present invention;

FIG. 7 is another flow chart of a method for calibrating a sphygmomanometer in accordance with an embodiment of the present invention;

FIG. 8 is another flow chart of a method for calibrating a blood pressure monitor according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

According to the calibration method of the sphygmomanometer provided by the embodiment of the invention, the calibration method of the sphygmomanometer can be applied to an application environment shown in fig. 1. Specifically, the sphygmomanometer calibration method is applied to a sphygmomanometer calibration system, the sphygmomanometer calibration system comprises a calibration server and at least two electronic sphygmomanometers which are in communication connection with the calibration server as shown in fig. 1, the calibration server can be in communication with a client through a network, and is used for enabling a user to input an automatic calibration instruction to the calibration server through the client, and the calibration server sends the automatic calibration instruction to the at least two electronic sphygmomanometers which are in network connection with the calibration server, so that the electronic sphygmomanometers collect calibration result data and return the calibration result data to the calibration server for calibration analysis, thereby obtaining a sphygmomanometer calibration result, controlling the at least two electronic sphygmomanometers to perform automatic calibration through the calibration server, improving the calibration efficiency of the electronic sphygmomanometer and reducing the calibration cost. The client is also called a user side, and refers to a program corresponding to the server and providing local services for the client. The client may be installed on, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server may be implemented as a stand-alone server or as a server cluster consisting of a plurality of servers.

The sphygmomanometer calibration system comprises a calibration server and an electronic sphygmomanometer which can communicate through the Internet, and special management software which can realize automatic calibration processing can be deployed on the calibration server, or a functional module which can realize the automatic calibration processing function and is embedded in a certain management system. The electronic sphygmomanometer is blood pressure measuring equipment with a network communication function, and comprises an air circuit module and an electronic control module which is connected with the air circuit module and is used for controlling the air circuit module to work, wherein the air circuit module comprises a blood pressure cuff, an air pump and an air release valve which are connected with the blood pressure cuff, the electronic control module comprises a processor, a communication unit which is connected with the processor, a memory and two pressure sensors, and the pressure sensors are connected with the air circuit module and are used for collecting air pressure values in the air circuit module; the processor is connected with the air pump and the air release valve and is used for controlling the air pump and the air release valve to work.

In this embodiment, an auto-calibration task for controlling the air pump, the deflation valve and the pressure sensor to work to adopt calibration result data may be embedded in the processor of the electronic sphygmomanometer, and the auto-calibration task is stored in the memory, so that after receiving the auto-calibration instruction, the processor is controlled to execute the auto-calibration task to obtain the calibration result data collected in real time. Correspondingly, a data analysis task for performing calibration analysis on the calibration result data can be embedded in the processor of the electronic sphygmomanometer, and the data analysis task is stored in the memory so as to perform calibration analysis according to the acquired calibration result data, so that the purpose of automatically calibrating whether the electronic sphygmomanometer is abnormal or not is realized, the offline automatic calibration effect is achieved, the labor cost for calibrating the sphygmomanometer is reduced, and the calibration efficiency is improved. The data analysis task for carrying out calibration analysis on the calibration result data can be embedded in the calibration server, so that calibration analysis can be carried out according to the calibration result data collected by at least two electronic blood pressure meters deployed in a medical institution, the purpose of automatically calibrating whether the at least two electronic blood pressure meters are abnormal or not can be realized, the purpose of automatically calibrating at least two networked electronic blood pressure meters deployed in a hospital institution can be realized, the calibration efficiency can be effectively improved, and the calibration cost can be reduced.

In an embodiment, as shown in fig. 2, a calibration method for a blood pressure monitor is provided, which is described by taking the electronic blood pressure monitor shown in fig. 1 as an example, and the calibration method includes the following steps performed by the electronic blood pressure monitor:

s201: and receiving an automatic calibration instruction, and acquiring an instruction source corresponding to the automatic calibration instruction.

The automatic calibration instruction is an instruction for triggering calibration of the electronic sphygmomanometer. The instruction source corresponding to the auto-calibration instruction is the source that triggers the auto-calibration instruction.

As an example, when the electronic sphygmomanometer is networked with the calibration server, the instruction source corresponding to the automatic calibration instruction may be the calibration server, that is, the automatic calibration instruction is an instruction sent by the calibration server to the electronic sphygmomanometer through the network.

Further, when the instruction source corresponding to the automatic calibration instruction is the calibration server, the electronic sphygmomanometer can generate task confirmation information and send the task confirmation information to the calibration server so as to inform the calibration server that the automatic calibration instruction is received, and therefore the purpose of checking whether the electronic sphygmomanometer and the calibration server can communicate is achieved. The task confirmation information is information triggered by the electronic sphygmomanometer to indicate that an automatic calibration instruction has been received.

As an example, when the electronic sphygmomanometer is not networked with the calibration server, the instruction source corresponding to the automatic calibration instruction is the electronic sphygmomanometer, that is, the user operates the calibration button on the electronic sphygmomanometer, that is, the automatic calibration instruction may be triggered, so that the user can perform offline automatic calibration.

As an example, when the electronic sphygmomanometer is networked with the calibration server, the instruction source corresponding to the automatic calibration instruction may also be the electronic sphygmomanometer, that is, the user operates the calibration button on the electronic sphygmomanometer to trigger the automatic calibration instruction, and may complete the calibration result data acquisition and analysis process on the electronic sphygmomanometer to obtain the calibration result of the sphygmomanometer, and feed back the calibration result of the sphygmomanometer to the calibration server networked therewith, so as to implement data backup, which is helpful for implementing effective monitoring of the abnormal state of the electronic sphygmomanometer.

As an example, an electronic blood pressure meter may also be written with auto-calibration tasks, which include

The time is automatically calibrated. Correspondingly, the electronic sphygmomanometer executes an automatic calibration task, detects the current system time of the electronic sphygmomanometer in real time, and triggers an automatic calibration instruction when the current system time reaches the automatic calibration time, so that the full automation of the calibration process of the sphygmomanometer is realized, and the automatic calibration instruction does not need to be triggered manually. The auto-calibration time is a trigger time for triggering the auto-calibration instruction, for example, if the auto-calibration time is determined to be two points in the morning, the electronic sphygmomanometer will trigger the auto-calibration instruction at two points in the morning every day, and the subsequent steps S202 and S203 are executed. In this example, the electronic sphygmomanometer may implement a timing self-test through an automatic calibration task. Furthermore, when the electronic sphygmomanometer is networked with the calibration server, the calibration result of the sphygmomanometer, which is obtained by self-checking the automatic calibration instruction triggered by the automatic calibration task, can be fed back to the calibration server networked with the electronic sphygmomanometer so as to realize data backup, and the electronic sphygmomanometer can be effectively monitored in abnormal states.

S202: and triggering and executing an automatic calibration task to acquire calibration result data corresponding to the electronic sphygmomanometer in real time based on the automatic calibration instruction.

The automatic calibration task is a preset task for controlling the air pump, the air release valve and the pressure sensor to work so as to adopt calibration result data. The calibration result data is data collected after the automatic calibration task is performed, and whether the electronic sphygmomanometer is abnormal or not can be analyzed based on the calibration result data.

Generally, the reasons for abnormality of the electronic blood pressure monitor may be as follows: the electronic control module fails to complete the blood pressure measurement; the pressure sensor fails, so that the measurement result has errors; the air pump and the air release valve fail to adjust the air pressure in the air circuit module to rise or fall; the air tightness in the air path module fails, so that an error exists in a measurement result and the like. Therefore, in configuring the automatic calibration task, the reason which may cause the abnormality of the electronic sphygmomanometer needs to be comprehensively considered, and data acquisition instructions for controlling the air pump, the air release valve and the pressure sensor to work are configured according to the data acquisition sequence. In this embodiment, the auto-calibration task includes data acquisition instructions configured according to a data acquisition sequence. The data acquisition order refers to the order in which data acquisition instructions are executed. The data acquisition instruction is a specific instruction for controlling components such as the air pump, the air release valve and the pressure sensor to acquire data.

As an example, the automatic calibration task is stored in a memory of the electronic sphygmomanometer, and after receiving the automatic calibration instruction, the automatic calibration task is triggered to be executed, so that the data acquisition instructions are sequentially executed according to a data acquisition sequence set in the automatic calibration task, and the data acquired by each data acquisition instruction is acquired to form calibration result data. It can be understood that the calibration result data can be automatically collected when the electronic sphygmomanometer executes an automatic calibration task, manual intervention is not needed, and the collection efficiency of the calibration result data is improved and the cost is reduced.

S203: and if the instruction source is the calibration server, sending the calibration result data to the calibration server so that the calibration server executes a data analysis task to perform calibration analysis on the calibration result data and obtain the calibration result of the sphygmomanometer.

The data analysis task is a preset task for analyzing the calibration result data to determine whether the electronic sphygmomanometer corresponding to the calibration result data is abnormal or not. Accordingly, the data analysis task includes a plurality of data analysis instructions configured according to a data analysis order. The data analysis order refers to an order in which execution of a plurality of data analysis instructions is controlled. The data analysis instruction is a specific instruction for realizing data analysis in the data analysis task.

As an example, if the instruction source of the automatic calibration instruction is the calibration server, it is stated that the electronic blood pressure meters are networked with the calibration server, and the calibration server receives control of the calibration server, at this time, the calibration result data is sent to the calibration server, so that the calibration server executes a preset data analysis task to perform calibration analysis on the calibration result data, and obtains the calibration result of the blood pressure meters, so as to achieve overall management on the at least two electronic blood pressure meters through the calibration server, ensure efficiency of performing automatic calibration on the at least two electronic blood pressure meters, and reduce calibration cost.

It is understood that, in order to distinguish the calibration result data collected by different electronic blood pressure meters, each calibration result data may carry a unique data source identifier, which may uniquely identify the corresponding electronic blood pressure meter, so that the calibration server determines the corresponding electronic blood pressure meter according to the data source identifier.

In the calibration method for the sphygmomanometer provided by the embodiment, after the electronic sphygmomanometer receives the automatic calibration instruction, the electronic sphygmomanometer is triggered to execute the automatic calibration task and acquire calibration result data corresponding to the electronic sphygmomanometer in real time, so that the calibration result data can be automatically acquired by the electronic sphygmomanometer when the electronic sphygmomanometer executes the automatic calibration task, manual intervention is not needed, the acquisition efficiency of the calibration result data is improved, and the cost is reduced; when the instruction source that the automatic calibration instruction corresponds is the calibration server, send calibration result data for the calibration server to make the calibration server carry out subsequent calibration analysis process, so that the calibration server can realize carrying out overall management to two at least electronic sphygmomanometer, the guarantee carries out automatic calibration's efficiency and reduction calibration cost to two at least electronic sphygmomanometer.

In an embodiment, after step S202, that is, after triggering execution of the automatic calibration task to acquire calibration result data corresponding to the electronic sphygmomanometer in real time, the calibration method for the sphygmomanometer further includes the following steps:

s204: and if the instruction source is not the calibration server, performing a data analysis task to perform calibration analysis on the calibration result data to obtain the calibration result of the sphygmomanometer.

As an example, if the instruction source of the automatic calibration instruction is not the calibration server, it indicates that the electronic sphygmomanometer receives the offline automatic calibration instruction, so that the electronic sphygmomanometer may execute the data analysis task pre-stored in the memory, that is, sequentially execute the data analysis instruction according to the pre-set data analysis sequence to obtain the calibration result of the sphygmomanometer, thereby implementing the automatic calibration analysis, improving the efficiency of the automatic calibration and reducing the calibration cost.

S205: and if the calibration result of the sphygmomanometer is abnormal, triggering and executing an abnormal alarm mechanism.

The abnormality alarm mechanism is a processing mechanism which is arranged on the electronic sphygmomanometer and used for alarming abnormality of the sphygmomanometer. As an example, when the calibration result of the blood pressure meter is that the blood pressure meter is abnormal, the abnormal alarm mechanism is triggered to be executed, so that a display screen of the electronic blood pressure meter displays 'machine fault' or other reminding information to remind a user not to use the electronic blood pressure meter with the abnormal blood pressure.

In the calibration method for the sphygmomanometer provided by the embodiment, after the electronic sphygmomanometer receives the automatic calibration instruction, the electronic sphygmomanometer is triggered to execute the automatic calibration task and acquire calibration result data corresponding to the electronic sphygmomanometer in real time, so that the calibration result data can be automatically acquired by the electronic sphygmomanometer when the electronic sphygmomanometer executes the automatic calibration task, manual intervention is not needed, the acquisition efficiency of the calibration result data is improved, and the cost is reduced; and when the instruction source corresponding to the automatic calibration instruction is not the calibration server, executing a data analysis task arranged on the electronic sphygmomanometer to perform calibration analysis on the calibration result data and obtain the calibration result of the sphygmomanometer so as to realize the automatic calibration analysis on the calibration result data of the electronic sphygmomanometer under the offline condition, improve the calibration efficiency and reduce the calibration cost.

In one embodiment, the electronic sphygmomanometer comprises two pressure sensors which are arranged on an air circuit module and used for adopting air pressure values, and the air circuit module comprises a blood pressure cuff, an air pump connected with the blood pressure cuff and a deflation valve. For convenience of description, the two pressure sensors are named as a first pressure sensor and a second pressure sensor respectively, and the first pressure sensor and the second pressure sensor are arranged at positions on the gas circuit module which are relatively close to each other, for example, the first pressure sensor and the second pressure sensor are arranged side by side, so that the situation that when the first pressure sensor and the second pressure sensor are far away from each other, the collected gas pressure value has large deviation, and the accuracy of calibration result data is influenced is avoided.

In an embodiment, as shown in fig. 3, step S202, namely triggering execution of an automatic calibration task to acquire calibration result data corresponding to the electronic sphygmomanometer in real time, specifically includes the following steps:

s301: and controlling the air pump to boost the air pressure in the air circuit module to a boosting air pressure threshold value, and acquiring air pressure boosting time and a first pressure array acquired by the two pressure sensors.

The pressure-boosting air pressure threshold value is a preset air pressure value which needs to be controlled to boost the pressure of the air circuit module, the data of the pressure-boosting air pressure threshold value is generally set to be larger than the highest value of the human blood pressure, but the highest value of the air pressure of the equipment which can be borne by the electronic sphygmomanometer cannot be reached, so that the accuracy of the automatic calibration process is ensured, and the risk of equipment damage caused by frequent automatic calibration under the highest value of the air pressure of the equipment is also avoided. As an example, the boost air pressure threshold may be represented by P0, and P0 may be set at 200 mm/Hg.

The air pressure boosting time is the time for controlling the air pump to work so as to raise the air pressure in the air passage module of the electronic sphygmomanometer from 0 to the boosting air pressure threshold value, and can be represented by T0.

The first pressure array refers to a pressure value acquired by the first pressure sensor and a pressure value acquired by the second pressure sensor when the internal air pressure of the air circuit module is controlled to be increased to a pressure-increasing air pressure threshold value P0. For example, F11 may be used to indicate a pressure value collected by the first pressure sensor when the internal air pressure of the control air path module is increased to the pressure-increasing air pressure threshold P0; and F12, the pressure value collected by the second pressure sensor when the internal air pressure of the control air circuit module is increased to the pressure-increasing air pressure threshold P0 is represented.

As an example, the electronic sphygmomanometer may control the air pump to work to boost the pressure inside the air circuit module to 200mm/Hg, and record the time used in the boosting process of the air circuit module as the air pressure boosting time T0, at this time, the reading of the first pressure sensor is F11, the reading of the second pressure sensor is F12, and the first pressure array includes F11 and F12.

S302: and acquiring a second pressure array acquired by the two pressure sensors after the boosting duration.

The pressure-increasing duration time is a time for the internal air pressure of the control air pressure module to increase to the pressure-increasing air pressure threshold P0 and then to continue to the pressure-increasing air pressure threshold P0, and may be represented by Tc, which may be set to 5 s.

The second pressure array refers to the pressure value acquired by the first pressure sensor and the pressure value acquired by the second pressure sensor after the boosting duration time Tc under the condition that the internal air pressure of the air pressure module is controlled to be at the boosting air pressure threshold value P0. For example, F21 may be used to indicate the pressure value collected by the first pressure sensor after the pressure-raising air pressure threshold P0 and the pressure-raising duration Tc; the value of the pressure collected by the second pressure sensor after the pressure-increasing pressure threshold P0 and after the pressure-increasing duration Tc can be represented by F22 and F21.

As an example, the electronic sphygmomanometer may control the air channel module to maintain the pressure increase for 5s at 200mm/Hg, at which time the first pressure sensor reads F21, the second pressure sensor reads F22, and the second pressure arrays are F21 and F22.

S303: and sequentially controlling the air pressure inside the air circuit module to be reduced to at least two air bleeding pressure thresholds by the air bleeding valve, and acquiring air bleeding working time corresponding to the at least two air bleeding pressure thresholds and a third pressure array adopted by the two pressure sensors.

The deflation air pressure threshold value is a preset air pressure value which needs to be controlled to be reduced by the air circuit module, at least two deflation air pressure threshold values can be set, namely the deflation valve needs to be controlled to reduce the pressure at least twice in the automatic calibration task, so that the air pressure in the air circuit module is reduced to 0 from the pressure-increasing air pressure threshold value P0. For example, Pi may be used to represent deflation air pressure thresholds and i is the number of deflation air pressure thresholds, and as an example, several deflation air pressure thresholds of 150mm/Hg, 100mm/Hg, 70mm/Hg, and 0 may be set.

The deflation working time refers to the time for controlling the deflation valve to perform primary deflation so as to reduce the pressure to the deflation air pressure threshold value. For example, Ti may be used to indicate the gassing on time.

And the third pressure array refers to a pressure value acquired by the first pressure sensor and a pressure value acquired by the second pressure sensor when the gas circuit module is controlled to reduce the pressure to a corresponding deflation air pressure threshold value Pi. For example, the value of the pressure collected by the first pressure sensor when depressurized to deflation air pressure threshold Pi may be denoted by F3i 1; the pressure value acquired by the second pressure sensor at the time of depressurization to the deflation gas pressure threshold Pi is denoted by F3i2, and the third pressure array includes F3i1 and F3i 2.

For example, when several deflation air pressure thresholds of 150mm/Hg, 100mm/Hg, 70mm/Hg and 0 are preset, the electronic sphygmomanometer may control the deflation valve to operate to reduce the air pressure inside the air channel module from the pressure-increasing air pressure threshold P0 of 200mm/Hg to the deflation air pressure threshold P1 of 150mm/Hg, record the deflation operation time T1 at this time, and acquire the third pressure arrays F311 and F312; controlling the work of the air release valve to reduce the air pressure in the air path module from a release air pressure threshold P1 of 150mm/Hg to a release air pressure threshold P2 of 100mm/Hg, recording the release work time T2 at the moment, and acquiring third pressure arrays F321 and F322; controlling the work of the air release valve to reduce the air pressure in the air path module from a release air pressure threshold P2 of 100mm/Hg to a release air pressure threshold P3 of 70mm/Hg, recording the release work time T3 at the moment, and acquiring third pressure arrays F331 and F332; and controlling the air release valve to work so as to reduce the air pressure inside the air channel module from a release air pressure threshold P3 of 70mm/Hg to a release air pressure threshold P4 of 70, recording the release work time T4 at the moment, and acquiring third pressure arrays F341 and F342.

In the calibration method for the sphygmomanometer provided by the embodiment, based on a preset automatic calibration task, an air pump is controlled to perform boosting operation, and air pressure boosting time and a first pressure array are recorded; recording a second pressure array after the boosting duration; and then, controlling the work of the deflation valve to record deflation work time when the pressure is reduced to at least two deflation air pressure thresholds, a third pressure array and other calibration result data acquired in real time so as to carry out subsequent calibration analysis based on the calibration result data, thereby automatically acquiring the calibration result of the sphygmomanometer, improving the calibration efficiency of the sphygmomanometer and reducing the calibration cost.

In an embodiment, as shown in fig. 4, step S203, namely, performing a data analysis task to perform calibration analysis on the calibration result data, and obtaining a calibration result of the sphygmomanometer specifically includes the following steps:

s401: and performing sensor calibration analysis based on the first pressure array, the second pressure array and the at least two third pressure arrays to obtain a sensor analysis result.

As can be understood, the first pressure array, the second pressure array and the third pressure array are two pressure values acquired by the two pressure sensors at the same time, and if the pressure sensors are not abnormal, the error between the two pressure values acquired by the two pressure sensors at the same time is small; on the contrary, if the abnormality exists, the error between the two pressure values acquired by the two pressure sensors at the same moment is larger, so that the sensor calibration analysis can be performed based on the first pressure array, the second pressure array and the at least two third pressure arrays, and the sensor analysis result can be obtained. Wherein the sensor analysis result is a result for reflecting whether the sensor is determined to have abnormality after the analysis.

As an example, respectively calculating an air pressure difference value between two pressure values in a first pressure array, a second pressure array and at least two third pressure arrays, judging whether the air pressure difference value is greater than a preset difference value, and if any one of the air pressure difference values in the first pressure array, the second pressure array and the at least two third pressure arrays is greater than the preset difference value, acquiring a sensor analysis result of sensor abnormality; if all the air pressure difference values in the first pressure array, the second pressure array and the at least two third pressure arrays are not larger than the preset difference value, acquiring a normal sensor analysis result of the sensor, namely acquiring a sensor analysis result of which the sensor is not abnormal. Wherein the preset difference is a preset value for reflecting an acceptable error of the calibration analysis process, for example, it may be set to 0.5mmHg, and if the pressure difference between the first pressure arrays F11 and F12 is greater than 0.5mmHg, or the pressure difference between the second pressure arrays F21 and F22 is greater than 0.5mmHg, or the pressure difference between the third pressure arrays F3i1 and F3i2 is greater than 0.5mmHg, the sensor is determined to be abnormal; otherwise, if all the air pressure difference values are not greater than 0.5mmHg, the sensor is determined to be normal.

S402: and performing air pump calibration analysis based on the air pressure boosting time and the preset boosting time to obtain an air pump analysis result.

The preset boosting time is preset time from 0 boosting to a boosting air pressure threshold P0 and can be represented by Ta, and the preset boosting time can be independently configured according to models of different electronic blood pressure meters and meets the national standard requirement. The air pump analysis result is used for reflecting the result of determining whether the air pump is abnormal or not after analysis.

As an example, the air pressure boosting time T0 is compared with the preset boosting time Ta; if the air pressure boosting time T0 is longer than the preset boosting time Ta, the air pump analysis result of the air pump abnormality can be obtained by determining that the inflation time for controlling the air pressure in the air circuit module to be boosted to the boosting air pressure threshold P0 by the air pump is too long; correspondingly, if the air pressure boosting time T0 is not greater than the preset boosting time Ta, the inflation time for controlling the air pressure in the air circuit module to be boosted to the boosting air pressure threshold P0 by the air pump is determined to meet the standard requirement of the electronic sphygmomanometer with the same model, and the normal air pump analysis result of the air pump can be obtained, namely the air pressure analysis result of the air pump without abnormality is obtained.

S403: and performing air tightness calibration analysis based on the second pressure array and the pressure-boosting air pressure threshold value to obtain an air tightness analysis result.

The second pressure array is a pressure value acquired by the two pressure sensors after the boosting duration time in the state of controlling the internal air pressure of the air pressure module to be at the boosting air pressure threshold value; generally speaking, if there is the gas leakage phenomenon in the gas circuit module, then last a period of time under the higher condition of this pressure numerical value of the gas circuit module at the atmospheric pressure threshold value that steps up, can lead to the inside atmospheric pressure of gas circuit module to reduce very fast because of the gas leakage phenomenon, consequently, can carry out gas tightness calibration analysis based on second pressure array and the atmospheric pressure threshold value that steps up, obtain gas tightness analysis result. The result of the airtightness analysis is a result for reflecting whether or not the airtightness is determined to be abnormal after the analysis.

As an example, step S403 specifically includes the following steps: calculating an air pressure mean value Δ F between the pressure arrays based on the second pressure array, i.e., (F21+ F22)/2; determining an air leakage pressure difference Pl based on a difference value between the pressure-boosting air pressure threshold value P0 and the air pressure mean value delta F, wherein Pl is P0-delta F; then, comparing the air leakage pressure difference Pl with an air leakage threshold value; if the air leakage pressure difference Pl is larger than the air leakage threshold value, acquiring an air tightness analysis result of abnormal air tightness; and if the air leakage pressure difference Pl is not greater than the air leakage threshold value, acquiring an air tightness analysis result with normal air tightness, namely acquiring an air tightness analysis result without abnormal air tightness. Wherein, the air leakage threshold value is a preset air pressure difference value for evaluating whether the air leakage phenomenon exists. In this example, the longer the duration of the gas circuit module is under the higher pressure condition, the more obvious the gas leakage phenomenon is, and the gas leakage differential pressure collected before and after the boosting duration is used for performing gas tightness analysis to obtain a gas tightness analysis result.

S404: and carrying out calibration analysis on the air release valve based on the at least two air release working times and the preset air release time to obtain an air release valve analysis result.

The preset deflation time is the preset time for reducing the pressure from the pressure-increasing air pressure threshold P0 to 0 and can be represented by Tb, and the preset deflation time can be configured according to the model independence of different electronic sphygmomanometers, so that the national standard requirement is met.

As an example, step S404 specifically includes the following steps: calculating a total air-bleeding time Ts based on at least two air-bleeding working times Ti, namely Ts ═ Sigma Ti; then comparing the total deflation time Ts with the preset deflation time Tb; if the total deflation time Ts is greater than the preset deflation time Tb, determining that the deflation valve is abnormal, and enabling the deflation and pressure relief time to be longer; and if the total deflation time Ts is not more than the preset deflation time Tb, determining that the deflation valve is normal, and acquiring an analysis result of the deflation valve.

S405: and if at least one of the sensor analysis result, the air pump analysis result, the air tightness analysis result and the air release valve analysis result is abnormal, acquiring the abnormal sphygmomanometer calibration result of the sphygmomanometer.

As an example, since the sensor analysis result, the air pump analysis result, the air tightness analysis result and the deflation valve analysis result all include two results of abnormality existence and abnormality absence, when at least one of the four analysis results of the sensor analysis result, the air pump analysis result, the air tightness analysis result and the deflation valve analysis result is abnormal, the abnormal sphygmomanometer calibration result can be obtained, so as to repair the abnormal electronic sphygmomanometer.

S406: and if the sensor analysis result, the air pump analysis result, the air tightness analysis result and the air release valve analysis result are not abnormal, obtaining the normal sphygmomanometer calibration result of the sphygmomanometer.

As another example, since the sensor analysis result, the air pump analysis result, the air tightness analysis result and the deflation valve analysis result all include two results of abnormality and abnormality absence, the normal calibration result of the sphygmomanometer can be obtained only when the four analysis results, namely the sensor analysis result, the air pump analysis result, the air tightness analysis result and the deflation valve analysis result, are all abnormal, so as to ensure that the normal calibration result of the sphygmomanometer can be obtained after all the reasons that may cause the abnormality or failure of the electronic sphygmomanometer are eliminated, and ensure the accuracy and reliability of the calibration result of the sphygmomanometer.

In the calibration method for the sphygmomanometer provided by the embodiment, the sensor, the air pump, the air tightness and the air release valve are subjected to independent calibration analysis, the sensor analysis result, the air pump analysis result, the air tightness analysis result and the air release valve analysis result are respectively obtained, and then the final calibration result of the sphygmomanometer is determined based on the obtained sensor analysis result, the air pump analysis result, the air tightness analysis result and the air release valve analysis result, so that the accuracy and the reliability of the calibration result of the sphygmomanometer are ensured.

In an embodiment, as shown in fig. 5, step S201, namely acquiring an automatic calibration instruction, specifically includes the following steps:

s501: and acquiring a blood pressure acquisition instruction, and acquiring calibration interval time based on the current time and the last calibration time of the system corresponding to the blood pressure acquisition instruction.

The blood pressure acquisition instruction is used for controlling the electronic sphygmomanometer to acquire blood pressure. The system current time corresponding to the blood pressure acquisition instruction is the system time when the blood pressure acquisition instruction is triggered. The last calibration time refers to the time before the current time of the system, the electronic sphygmomanometer performs automatic calibration processing.

As an example, the electronic sphygmomanometer may receive a blood pressure collection command triggered by a user operating a blood pressure measurement button, record a time when the blood pressure collection command is received as a current time of a system after receiving the blood pressure collection command, query a last calibration time recorded in a memory, and obtain a calibration interval time based on a difference between the current time of the system and the last calibration time. Namely, the calibration interval time is the interval time between the last calibration time and the current time of the system triggering the blood pressure acquisition instruction.

S502: and if the calibration interval time is greater than a preset time threshold, acquiring an automatic calibration instruction.

Wherein the preset time threshold is a preset time threshold used for evaluating whether automatic calibration is needed or not.

After acquiring the calibration interval time, the electronic sphygmomanometer compares the calibration interval time with a preset time threshold. If the calibration interval time is greater than the preset time threshold, it indicates that the electronic sphygmomanometer has not been calibrated for a long time, and the risk of abnormality is high, and if the blood pressure measurement is directly performed, the measurement result is likely to be abnormal, so an automatic calibration instruction needs to be triggered to automatically calibrate the electronic sphygmomanometer to ensure the accuracy of the final measurement result. If the calibration interval time is not greater than the preset time threshold, it is indicated that the last calibration time of the electronic sphygmomanometer is closer to the current time of the system, and the risk of abnormality is low at this time, so that the blood pressure measurement can be directly performed based on the blood pressure acquisition instruction to ensure the accuracy of the blood pressure measurement result.

In the calibration method for the sphygmomanometer provided in this embodiment, the calibration interval time may be obtained based on the current time of the system corresponding to the received blood pressure acquisition instruction and the last calibration time, and when the calibration interval time is greater than the preset time threshold, the automatic calibration instruction is triggered to perform subsequent automatic calibration processing, so as to improve the efficiency of automatic calibration, reduce the cost of automatic calibration, and ensure the accuracy of the blood pressure measurement result.

In an embodiment, as shown in fig. 6, a calibration method of a blood pressure meter is provided, which is described by taking the method as an example of applying the method to the calibration server shown in fig. 1, and the method includes the following steps performed by the calibration server:

s601: and acquiring an automatic calibration instruction, and sending the automatic calibration instruction to the electronic sphygmomanometer.

The automatic calibration instruction is an instruction for triggering calibration of the electronic sphygmomanometer.

As an example, the calibration server may receive an automatic calibration instruction input by a user operating the client, and send the automatic calibration instruction to at least two electronic blood pressure meters networked with the calibration server, so that the electronic blood pressure meters receiving the automatic calibration instruction perform an automatic calibration task for subsequent calibration processing. In this example, the automatic calibration instruction received by the calibration server is an automatic calibration instruction input by a user through real-time operation, and is used for controlling the electronic sphygmomanometer networked with the calibration server to perform self-checking.

As another example, the calibration server may receive a client-entered timing calibration task, the timing calibration task including a timing calibration time. Correspondingly, the calibration server executes a timing calibration task, detects the system current time of the calibration server in real time, triggers an automatic calibration instruction when the system current time reaches the timing calibration time, and sends the automatic calibration instruction to the electronic sphygmomanometer, so that the full automation of the calibration process of the sphygmomanometer is realized, and the automatic calibration instruction does not need to be triggered manually. The timing calibration time is a trigger time for triggering an automatic calibration instruction, for example, if the timing calibration time is determined to be two points in the morning, the calibration server will trigger the automatic calibration instruction at two points in the morning every day, and send the automatic calibration instruction to the electronic sphygmomanometer. In this example, the calibration server receives an automatic calibration instruction triggered by the timing calibration task, and the automatic calibration instruction is used for timing control of the electronic sphygmomanometer networked with the calibration server to perform self-inspection.

S602: and waiting for receiving calibration result data acquired by the electronic sphygmomanometer in real time by executing an automatic calibration task within the data acquisition time.

The data acquisition time is preset time for waiting for the electronic sphygmomanometer to acquire data. The automatic calibration task is a task which is preset on the electronic sphygmomanometer and is used for controlling the air pump, the air release valve and the pressure sensor to work so as to adopt calibration result data. The calibration result data is data collected after the automatic calibration task is performed, and whether the sphygmomanometer is abnormal or not can be analyzed based on the calibration result data.

As an example, after sending the automatic calibration instruction to the electronic sphygmomanometer, the calibration server needs to monitor whether calibration result data acquired by the electronic sphygmomanometer in real time when executing an automatic calibration task is received within a data acquisition time, so as to perform subsequent processing steps, ensure timeliness of automatic calibration work, and avoid influence on automatic calibration efficiency due to too long acquisition time of the calibration result data.

S603: and if the calibration result data are received within the data acquisition time, performing a data analysis task to perform calibration analysis on the calibration result data to obtain a calibration result of the sphygmomanometer.

As an example, the calibration server receives calibration result data within data acquisition time, which indicates that a communication network between the calibration server and the electronic sphygmomanometer is smooth and no network communication abnormality exists; at this moment, the calibration server executes a preset data analysis task, namely, sequentially executes data analysis instructions according to a preset data analysis sequence to obtain a calibration result of the sphygmomanometer, so that automatic calibration of at least two electronic sphygmomanometers networked with the calibration server is realized, the efficiency of automatic calibration of the at least two electronic sphygmomanometer is guaranteed, and the calibration cost is reduced.

Further, when the abnormality of the blood pressure meter exists in the calibration results of the blood pressure meters corresponding to the at least two electronic blood pressure meters, an abnormality reminding mechanism can be executed, all the information of the blood pressure meters with the abnormal blood pressure meter calibration result is sent to a reminding terminal, and the abnormality reminding information is sent to the electronic blood pressure meters with the abnormal blood pressure meter calibration result, so that the abnormal reminding information can be displayed on the electronic blood pressure meters. The reminding terminal is a client adopted by a user for monitoring the calibration result, namely the client corresponding to the management account.

In the calibration method for the sphygmomanometer provided by the embodiment, the calibration server can send the automatic calibration instruction to all electronic sphygmomanometers networked with the calibration server, so that the electronic sphygmomanometer is triggered to execute the automatic calibration task to acquire calibration result data corresponding to the electronic sphygmomanometer in real time, manual intervention is not needed in the process, the acquisition efficiency of the calibration result data is improved, and the cost is reduced; waiting for receiving calibration result data within the data acquisition time so as to carry out subsequent processing steps, ensuring the timeliness of automatic calibration work and avoiding the influence on automatic calibration efficiency due to overlong calibration result data acquisition time; when the calibration result data are received within the data acquisition time, the data analysis task is executed to perform calibration analysis on the calibration result data, the calibration result of the sphygmomanometer is obtained, automatic calibration of the networked electronic sphygmomanometer is achieved, calibration efficiency of at least two electronic sphygmomanometers is guaranteed, and calibration cost is reduced.

In an embodiment corresponding to steps S601-S603, the calibration result data collected in real time by the electronic sphygmomanometer waiting to be received during the data collection time and performing the automatic calibration task in step S602 has two results, that is, the calibration result data is received during the data collection time and the calibration result data is not received during the data collection time. As shown in fig. 7, after step S602, that is, after waiting for receiving calibration result data acquired by the electronic sphygmomanometer in real time after performing the automatic calibration task within the data acquisition time, the sphygmomanometer calibration method further includes the following steps:

s701: and if the calibration result data is not received within the data acquisition time, updating the first instruction sending times, and judging whether the first instruction sending times reach a first time threshold value.

Wherein the first instruction sending times are the times recorded on the calibration server that the automatic calibration instructions have been sent within the data acquisition time. The first time threshold is a preset number of times for evaluating whether the automatic calibration instruction needs to be continuously transmitted, and for example, the first time threshold may be 5 times.

As an example, in an embodiment corresponding to steps S601-S603, the calibration server sends an automatic calibration instruction to the electronic sphygmomanometer, and waits for receiving calibration result data acquired by the electronic sphygmomanometer in real time when executing an automatic calibration task within data acquisition time, and if the calibration result data is not received within the data acquisition time, the calibration server updates the first instruction sending time, that is, execution a is a +1, where a is the first instruction sending time; and judging whether the sending times of the first instruction reach a first time threshold value or not so as to determine whether the automatic calibration instruction needs to be sent repeatedly or not.

S702: and if the sending times of the first instruction reach a first time threshold value, acquiring the abnormal sphygmomanometer calibration result of the sphygmomanometer.

As an example, the calibration server compares the first instruction sending frequency with a first time threshold value, and determines that the first instruction sending frequency reaches the first time threshold value, which indicates that after the automatic calibration instruction is sent for the first time, the calibration server has repeatedly sent more automatic calibration instructions, at this time, calibration result data cannot be received yet, the risk that the electronic sphygmomanometer is abnormal can be determined to reach a standard that is determined to be larger, the sphygmomanometer calibration result that the sphygmomanometer is abnormal can be directly obtained, and the calibration result data does not need to be continuously waited for receiving, so that timeliness of calibration processing of the sphygmomanometer is ensured, and waste of system resources caused by continuous waiting is avoided.

S703: and if the sending times of the first instruction do not reach the first time threshold value, executing to send the automatic calibration instruction to the electronic sphygmomanometer.

As another example, the calibration server compares the first instruction sending frequency with the first time threshold, and determines that the first instruction sending frequency does not reach the first time threshold, which indicates that the calibration server does not repeatedly send many times of automatic calibration instructions after sending the automatic calibration instruction for the first time, at this time, there is a high probability that the calibration result data cannot be received in time due to network failure or other interference factors, and it is determined that the risk of abnormality of the electronic sphygmomanometer does not reach the standard that is determined to be high, so that the steps of sending the automatic calibration instruction to the electronic sphygmomanometer and the subsequent steps can be executed again, thereby avoiding directly obtaining the abnormal sphygmomanometer calibration result due to external interference, and ensuring the accuracy of the automatic calibration result.

According to the calibration method for the sphygmomanometer provided by the embodiment, when the calibration server cannot receive calibration result data within data acquisition time, the first instruction sending times are updated, and when the first instruction sending times reach a first time threshold value, the abnormal sphygmomanometer calibration result of the sphygmomanometer is directly obtained, so that the timeliness of calibration processing of the sphygmomanometer is ensured, and the waste of system resources caused by continuous waiting is avoided; and when the sending times of the first instruction do not reach the first time threshold value, the automatic calibration instruction is repeatedly sent to the electronic sphygmomanometer so as to ensure the accuracy of the automatic calibration result.

In an embodiment, as shown in fig. 8, after step S601 and before step S602, that is, after the automatic calibration command is sent to the electronic sphygmomanometer and before waiting for receiving the calibration result data acquired by the electronic sphygmomanometer in real time by executing the automatic calibration task within the data acquisition time, the sphygmomanometer calibration method further includes the following steps:

s801: and waiting for receiving task confirmation information sent by the electronic sphygmomanometer within the instruction confirmation time.

The instruction confirmation time is preset time for waiting for confirming whether the electronic sphygmomanometer receives the automatic calibration instruction. The task confirmation information is information triggered by the electronic sphygmomanometer to indicate that an automatic calibration instruction has been received.

As an example, in the embodiment corresponding to steps S601-S603, after the calibration server sends the automatic calibration command to the electronic sphygmomanometer, it needs to monitor whether the task confirmation information sent by the electronic sphygmomanometer is received in real time within the command confirmation time, so as to perform the subsequent processing steps, and ensure timeliness of the automatic calibration work.

S802: and if the task confirmation information is received within the instruction confirmation time, executing to wait for receiving the calibration result data acquired by the electronic sphygmomanometer in real time by executing the automatic calibration task within the data acquisition time.

As an example, after the calibration server receives the task confirmation information within the instruction confirmation time, it is indicated that the calibration server is in normal communication with the networked electronic sphygmomanometer at this time, so as to avoid timeliness and accuracy of subsequent automatic calibration work due to external interference factors such as network communication.

S803: and if the task confirmation information is not received within the instruction confirmation time, updating the second instruction sending times, and judging whether the second instruction sending times reach a second time threshold value.

Wherein the second instruction sending times is the times recorded on the calibration server that the automatic calibration instruction has been sent within the instruction confirmation time. The second count threshold is a preset number of times for evaluating whether or not it is necessary to continue sending the automatic calibration instruction, and for example, the second count threshold may be set to 3 times.

As an example, if the calibration server does not receive the task confirmation information within the instruction confirmation time, at this time, the calibration server updates the second instruction sending number, that is, B is executed to be B +1, where B is a second instruction sending index; and judging whether the sending times of the second instruction reaches a second time threshold value or not so as to determine whether the automatic calibration instruction needs to be sent repeatedly or not.

S804: and if the sending times of the second instruction reach a second time threshold value, acquiring the abnormal sphygmomanometer calibration result of the sphygmomanometer.

As an example, the calibration server compares the second instruction sending frequency with a second frequency threshold, determines that the second instruction sending frequency reaches the second frequency threshold, and indicates that after the automatic calibration instruction is sent for the first time, the calibration server has repeatedly sent more automatic calibration instructions, at this time, the task confirmation information still cannot be received, which indicates that the maximum probability is that there is a fault in network communication between the calibration server and the electronic sphygmomanometer, so that the electronic sphygmomanometer cannot receive the automatic calibration instruction or cannot send the task confirmation information.

S805: and if the sending times of the second instruction do not reach the second time threshold value, executing to send the automatic calibration instruction to the electronic sphygmomanometer.

As another example, the calibration server compares the second instruction sending frequency with a second frequency threshold, and determines that the second instruction sending frequency does not reach the second frequency threshold, which indicates that after the automatic calibration instruction is sent for the first time, the calibration server does not repeatedly send the automatic calibration instruction for many times, and needs to continue sending the automatic calibration instruction, so as to check whether the electronic sphygmomanometer cannot receive the automatic calibration instruction or cannot send task confirmation information due to a network communication fault between the calibration server and the electronic sphygmomanometer, thereby ensuring the accuracy of the automatic calibration result.

In the calibration method for the sphygmomanometer provided by the embodiment, after the calibration server sends the automatic calibration instruction, if the task confirmation information cannot be received within the instruction confirmation time, the sending times of the second instruction are updated; when the sending times of the second instruction reach a second time threshold value, directly obtaining the abnormal sphygmomanometer calibration result of the sphygmomanometer so as to ensure the timeliness of the sphygmomanometer calibration treatment and avoid the waste of system resources caused by continuous waiting; and when the second instruction sending index does not reach the second time threshold value, repeatedly sending the automatic calibration instruction to the electronic sphygmomanometer to ensure the accuracy of the automatic calibration result.

In an embodiment, the calibration result data specifically includes: the electronic sphygmomanometer controls air pressure boosting time acquired when the air pump boosts the air pressure in the air circuit module to a boosting air pressure threshold value and a first pressure array acquired by the two pressure sensors, the electronic sphygmomanometer acquires a second pressure array acquired by the two pressure sensors after the boosting duration time, and the electronic sphygmomanometer controls the deflation valve to reduce the air pressure in the air circuit module to at least two deflation air pressure threshold values in sequence, so that deflation working time corresponding to the at least two deflation air pressure threshold values and a third pressure array adopted by the two pressure sensors are acquired. It is to be understood that the obtaining process of the calibration result data is shown in steps S301 to S303, and is not described herein again to avoid repetition.

Correspondingly, step S603, namely, performing a data analysis task to perform calibration analysis on the calibration result data to obtain the calibration result of the sphygmomanometer, specifically includes the following steps:

s901: and performing sensor calibration analysis based on the first pressure array, the second pressure array and the at least two third pressure arrays to obtain a sensor analysis result.

S902: and performing air pump calibration analysis based on the air pressure boosting time and the preset boosting time to obtain an air pump analysis result.

S903: and performing air tightness calibration analysis based on the second pressure array and the pressure-boosting air pressure threshold value to obtain an air tightness analysis result.

S904: and carrying out calibration analysis on the air release valve based on the at least two air release working times and the preset air release time to obtain an air release valve analysis result.

S905: and if at least one of the sensor analysis result, the air pump analysis result, the air tightness analysis result and the air release valve analysis result is abnormal, acquiring the abnormal sphygmomanometer calibration result of the sphygmomanometer.

S906: and if the sensor analysis result, the air pump analysis result, the air tightness analysis result and the air release valve analysis result are not abnormal, obtaining the normal sphygmomanometer calibration result of the sphygmomanometer.

It can be understood that the specific implementation processes of steps S901 to S906 executed by the calibration server are the same as the specific implementation processes of steps S401 to S406 executed by the electronic sphygmomanometer, and the two processes are only different in terms of execution subject, and are not repeated herein to avoid repetition. It can be understood that the sensor, the air pump, the air tightness and the air release valve are subjected to independent calibration analysis on the calibration server, the sensor analysis result, the air pump analysis result, the air tightness analysis result and the air release valve analysis result are respectively obtained, and then the final calibration result of the sphygmomanometer is determined based on the obtained sensor analysis result, the air pump analysis result, the air tightness analysis result and the air release valve analysis result, so that the accuracy and the reliability of the calibration result of the sphygmomanometer are ensured,

it should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

In an embodiment, an electronic blood pressure monitor is provided, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, the blood pressure monitor calibration method in the foregoing embodiments is implemented, for example, S201 to S205 shown in fig. 2, or shown in fig. 3 to fig. 5, which is not described herein again to avoid repetition.

In an embodiment, a calibration server is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the calibration method of the blood pressure meter in the above embodiments, for example, S601-S603 shown in fig. 6, or S7-S8, which is not described herein again to avoid repetition.

In one embodiment, a blood pressure meter calibration system is provided, which includes a calibration server and at least two electronic blood pressure meters communicatively connected to the calibration server, wherein each of the calibration server and the electronic blood pressure meters includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program in the electronic blood pressure meters realizes the blood pressure meter calibration method when executed by the processor, and the computer program in the calibration server realizes the blood pressure meter calibration method when executed by the processor.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims

1. A sphygmomanometer calibration method is characterized by comprising the following steps executed by an electronic sphygmomanometer:

2. The sphygmomanometer calibration method according to claim 1, wherein after the triggering execution of the automatic calibration task acquires calibration result data corresponding to the electronic sphygmomanometer in real time, the sphygmomanometer calibration method further comprises:

3. The calibration method of the sphygmomanometer according to claim 1, wherein the electronic sphygmomanometer comprises two pressure sensors for taking a pneumatic pressure value, which are arranged on a pneumatic circuit module, and the pneumatic circuit module comprises a blood pressure cuff, an air pump connected with the blood pressure cuff and a deflation valve;

4. The method of claim 3, wherein the performing a data analysis task to perform a calibration analysis on the calibration result data to obtain a sphygmomanometer calibration result comprises:

5. The method of calibrating a sphygmomanometer according to claim 1, wherein the obtaining the auto-calibration command includes:

6. A sphygmomanometer calibration method is characterized by comprising the following steps executed by a calibration server:

7. The sphygmomanometer calibration method according to claim 6, wherein after waiting for receiving the calibration result data acquired by the electronic sphygmomanometer in real time after performing the automatic calibration task within the data acquisition time, the sphygmomanometer calibration method further comprises:

8. The method of calibrating a blood pressure monitor according to claim 6, wherein after the sending of the auto-calibration command to the electronic blood pressure monitor and before the waiting for receiving the calibration result data acquired by the electronic blood pressure monitor in real time for executing the auto-calibration task, the method further comprises:

9. The method of calibrating a sphygmomanometer according to claim 6, wherein the calibration result data includes: the electronic sphygmomanometer controls an air pressure boosting time acquired when an air pump is controlled to boost the air pressure in an air path module to a boosting air pressure threshold value and a first pressure array acquired by two pressure sensors, a second pressure array acquired by the electronic sphygmomanometer after the boosting duration time and acquired by the two pressure sensors, and the electronic sphygmomanometer controls a deflation valve to reduce the air pressure in the air path module to at least two deflation air pressure threshold values in sequence, so that deflation working time corresponding to the at least two deflation air pressure threshold values and a third pressure array adopted by the two pressure sensors are acquired;

10. A sphygmomanometer calibration system comprising a calibration server and at least two electronic sphygmomanometers communicatively connected to the calibration server, the calibration server and the electronic sphygmomanometers each having a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program in the electronic sphygmomanometer, when executed by the processor, implements the sphygmomanometer calibration method according to any one of claims 1 to 5, and the computer program in the calibration server, when executed by the processor, implements the sphygmomanometer calibration method according to any one of claims 6 to 9.