CN106580253A - Physiological data acquisition method, apparatus and system - Google Patents

Abstract

The invention provides a physiological data collection method, device and system, belonging to the field of data collection. The method is applied to a physiological data collection system, and the system includes a computer, an alarm, a sensor and an identity sampling device. The method includes: the computer obtains the sample information of the human body collected by the identity sampling device; matches the sample information with a plurality of pre-stored sample information; if the matching is successful, obtains the physiological characteristic data of the human body collected by the sensor; the obtained physiological characteristic data Save in the folder containing the identification information of the successfully matched sample information; compare the physiological characteristic data stored in the folder with the preset physiological characteristic range value; if the physiological characteristic data stored in the folder If the characteristic data is not within the preset physiological characteristic range value, an alarm instruction is sent to the alarm device. The method can solve the problems of cumbersome operation, heavy workload and easy error in the traditional physiological data processing method.

Description

Physiological data acquisition method, device and system

technical field

The present invention relates to the field of data collection, in particular to a physiological data collection method, device and system.

Background technique

At present, the basic nursing work in the ward requires the staff to measure and record the breathing, body temperature and heart rate of the patient at least once a day. Taking body temperature recording as an example, the traditional method of measuring body temperature requires staff to send the thermometers to each hospital bed in turn, and then retrieve them one by one, read out the measurement results respectively, and record them on the overall temperature sheet, and then check the measurement results After recording or inputting in separate personal medical records, the steps are cumbersome, the workload is heavy, and it is easy to cause mistakes.

Contents of the invention

In view of this, the purpose of the embodiments of the present invention is to provide a physiological data collection method, device and system, so as to solve the problems of cumbersome operation, heavy workload and error proneness in traditional physiological data processing methods.

In the first aspect, an embodiment of the present invention provides a physiological data collection method, the method is applied to a physiological data collection system, and the system includes a computer, an alarm, a sensor, and an identity sampling device. The method includes: the computer obtains the sample information of the human body collected by the identity sampling device; matches the sample information with a plurality of pre-stored sample information; if the matching is successful, obtains the physiological characteristics of the human body collected by the sensor data; save the obtained physiological characteristic data in a folder containing the identification information of the successfully matched sample information; compare the physiological characteristic data stored in the folder with the preset physiological characteristic range value comparison; if the physiological characteristic data stored in the folder is not within the preset physiological characteristic range value, an alarm instruction is sent to the alarm device.

In the second aspect, the embodiment of the present invention provides a physiological data collection device, which is applied to a physiological data collection system, and the system includes a computer, an alarm, a sensor, and an identity sampling device, and the device includes: an acquisition module, It is used to acquire the sample information of the human body collected by the identity sampling device; the matching module is used to match the sample information with a plurality of pre-stored sample information; the acquisition module is also used to, if the matching module matches successfully, Obtaining the physiological characteristic data of the human body collected by the sensor; a saving module for saving the obtained physiological characteristic data in a folder containing the identification information of the successfully matched sample information; a comparison module for Comparing the physiological characteristic data stored in the folder with the preset physiological characteristic range value; the judging module is used for if the physiological characteristic data stored in the folder is not within the preset physiological characteristic range Within the value, an alarm command is sent to the alarm.

In a third aspect, an embodiment of the present invention provides a physiological data collection system, the system includes a computer, an alarm, a sensor, and an identity sampling device, and the computer is electrically connected to the alarm, the sensor, and the identity sampling device, respectively. The identity sampling device is used to collect sample information of the human body; the sensor is used to collect physiological characteristic data of the human body; the alarm is used to send an alarm signal after receiving an alarm instruction; the computer is used to obtain The sample information of the human body collected by the identity sampling device is matched with a plurality of pre-stored sample information, and if the matching is successful, the physiological characteristic data of the human body collected by the sensor is obtained, and the obtained physiological The feature data is stored in a folder containing the identification information of the successfully matched sample information, and the physiological feature data stored in the folder is compared with the preset physiological feature range value, if stored in the file If the physiological characteristic data in the folder is not within the preset physiological characteristic range value, an alarm instruction is sent to the alarm device.

Compared with the prior art, the beneficial effects of the physiological data collection method, device and system proposed by the various embodiments of the present invention are: by using a computer to collect physiological indicators of the human body, the problem of cumbersome operation of the traditional physiological data processing method can be solved , and at the same time, by verifying the identity of the collected object, the traditional physiological data processing method is cumbersome to operate, the workload is heavy, and the problems that are easy to cause errors are solved. In addition, the collected human physiological data is compared with the normal range value, and if the collected human physiological data is collected, an alarm is initiated, which is convenient for medical staff to monitor the patient's condition.

In order to make the above-mentioned objects, features and advantages of the present invention more comprehensible, preferred embodiments will be described in detail below together with the accompanying drawings.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and thus It should be regarded as a limitation on the scope, and those skilled in the art can also obtain other related drawings based on these drawings without creative work.

Fig. 1 is the structural block diagram of the computer that the embodiment of the present invention provides;

Fig. 2 is a flow chart of the physiological data collection method provided by the first embodiment of the present invention;

Fig. 3 is a flow chart of a physiological data collection method provided by the second embodiment of the present invention;

Fig. 4 is a structural block diagram of a physiological data collection device provided by a third embodiment of the present invention;

Fig. 5 is a structural block diagram of a physiological data collection device provided by a fourth embodiment of the present invention;

Fig. 6 is a structural block diagram of a physiological data collection system provided by a fifth embodiment of the present invention.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

As shown in FIG. 1 , it is a schematic block diagram of a computer 100 . The computer 100 includes: a physiological data collection device, a memory 110 , a storage controller 120 , a processor 130 , a peripheral interface 140 , an input and output unit 150 , an audio unit 160 , and a display unit 170 .

The memory 110, storage controller 120, processor 130, peripheral interface 140, input and output unit 150, audio unit 160, and display unit 170 are electrically connected to each other directly or indirectly to realize data transmission or interact. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The physiological data acquisition device includes at least one software function module that can be stored in the memory in the form of software or firmware (firmware) or solidified in the operating system (operating system, OS) of the computer 100 . The processor 130 is configured to execute executable modules stored in the memory 110 , such as software function modules or computer programs included in the physiological data collection device 400 .

Wherein, memory 110 can be, but not limited to, random access memory (Random Access Memory, RAM), read-only memory (Read Only Memory, ROM), programmable read-only memory (Programmable Read-OnlyMemory, PROM), erasable In addition to read-only memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable read-only memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc. Wherein, the memory 110 is used to store a program, and the processor 130 executes the program after receiving an execution instruction, and the method performed by the computer 100 for the flow process definition disclosed in any of the above-mentioned embodiments of the present invention can be applied to In the processor 130, or implemented by the processor 130.

The processor 130 may be an integrated circuit chip with signal processing capability. The above-mentioned processor 130 can be a general-purpose processor, including a central processing unit (Central Processing Unit, referred to as CPU), a network processor (Network Processor, referred to as NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. Various methods, steps and logic block diagrams disclosed in the embodiments of the present invention may be implemented or executed. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

The peripheral interface 140 couples various input/output devices to the processor 130 and the memory 110 . In some embodiments, peripheral interface 140, processor 130, and memory controller 120 may be implemented in a single chip. In some other instances, they can be implemented by independent chips respectively.

The input and output unit 150 is used to provide the user with input data to realize the interaction between the user and the computer 100 . The input and output unit 150 may be, but not limited to, a mouse and a keyboard.

The audio unit 160 provides an audio interface to the user and may include one or more microphones, one or more speakers, and audio circuitry.

The display unit 170 provides an interactive interface (such as a user operation interface) between the computer 100 and the user or is used to display image data for the user's reference. In this embodiment, the display unit 170 may be a liquid crystal display or a touch display. If it is a touch display, it can be a capacitive touch screen or a resistive touch screen supporting single-point and multi-touch operations. Supporting single-point and multi-touch operations means that the touch display can sense simultaneous touch operations from one or more locations on the touch display, and deliver the sensed touch operations to the processor 130 Perform calculations and processing.

first embodiment

Please refer to Fig. 2, Fig. 2 is a flowchart of a physiological data collection method provided by the first embodiment of the present invention, the method is applied to a physiological data collection system, and the system includes a computer, an alarm, a sensor and an identity sampling device , the method includes. The process shown in Figure 2 will be described in detail below, and the method includes:

Step S110: the computer obtains the sample information of the human body collected by the identity sampling device.

When the nurses need to collect physiological data from the patients in the ward, they can initiate a data acquisition command to the computer, and after the computer responds to the command, it can start to acquire the human body sample information collected by the identity sampling device.

Wherein, the identity sampling device may be a camera, and correspondingly, the sample information may be an avatar picture collected by the camera. As an implementation paradigm, the identity sampling device may also be a fingerprint identifier, and correspondingly, the sample information may be the fingerprint information of the human body collected in the fingerprint identification area.

As an implementation, a preset cycle can be set in the computer, and the computer can automatically start to acquire the sample information of the human body collected by the identity sampling device every preset cycle, reducing the workload of the staff.

Step S120: Match the sample information with a plurality of pre-stored sample information.

Before matching, the staff can pre-save the sample information of multiple patients who need to collect physiological data in the computer. At the same time, the computer can create multiple folders, and store the sample information of different patients in different folders. Of course, it can be understood that each folder includes identification information of the sample information stored therein. For example, the identification information may be an individual feature obtained by extracting features from an avatar picture, or it may be the identity information of a human body obtained from a recognition result of fingerprint information.

When matching, the computer first extracts the acquired identification information of the sample information, and then matches the identification information with the identification information of the sample information pre-stored in different folders.

Step S130: If the matching fails, the computer creates a new folder, the new folder contains the identification information of the sample information that failed to match, and the computer reacquires the human body sample collected by the identity sampling device information.

Taking the avatar picture as an example, if the matching fails, it is the first time that the characterization computer collects the physiological characteristic data of the patient corresponding to the obtained avatar picture. At this point, the computer re-creates a new folder, and saves the failed avatar picture and the identification information of the avatar picture in the newly created folder. In order to ensure the continuation of the collection of physiological data, as an implementation paradigm, the computer may restart to obtain the head portrait pictures of the human body collected by the camera, so as to re-match the obtained head portrait pictures.

Step S140: If the matching is successful, obtain the physiological characteristic data of the human body collected by the sensor.

The sensors include a respiration sensor, a body temperature sensor, and a heart rate sensor, and the physiological characteristic data of the human body include the respiration rate, body temperature, and heart rate of the human body.

Step S150: Save the acquired physiological characteristic data in a folder containing the identification information of the successfully matched sample information.

Step S160: Compare the physiological characteristic data stored in the folder with the preset physiological characteristic range value.

As an implementation, the preset physiological characteristic range value may be a range value obtained based on statistical laws and applicable to the general public, and the range value represents the normal physiological index range of the human body in a healthy state. For example, the temperature range of the human body in a healthy state is between 36.2°C and 37.2°C. Then the computer can save the range value and use it as the preset physiological characteristic range value of the body temperature item.

However, because people vary from person to person, there will be differences between individuals, and some people's individual differences are even large. Therefore, as an implementation manner, the preset physiological characteristic range value may also be updated according to the historical physiological characteristic data values saved by the computer.

For example, in the process of collecting the body temperature of a certain patient, it is found that the normal temperature range of the patient is wider than that of other people, the computer changes the preset temperature characteristic range value according to the actual normal temperature range value of the patient.

Step S170: If the physiological characteristic data stored in the folder is not within the preset physiological characteristic range value, send an alarm instruction to the alarm device.

If the physiological characteristic data stored in the folder is not within the preset physiological characteristic range value, the physiological characteristic data representing the patient is in an abnormal state. At this time, the computer sends an alarm command to the alarm, so that the alarm will alarm, attract the attention of medical staff, play a role in timely warning of the patient's physical state, and reduce the injury caused by abnormal conditions to the patient.

The beneficial effect of a method for collecting physiological data provided by the embodiment of the present invention is: by using a computer to collect physiological indicators of the human body, the problem of cumbersome operation of the traditional physiological data processing method is solved; Verification, in order to solve the problems of cumbersome operation, heavy workload and easy to cause errors in traditional physiological data processing methods. In addition, the collected human physiological data is compared with the preset physiological characteristic range value, and if the collected human physiological data is collected, an alarm is initiated, which is convenient for medical staff to monitor the patient's condition. At the same time, the method can also update the preset physiological characteristic range value according to the historical physiological characteristic data saved by the computer, thereby improving the accuracy of the alarm.

second embodiment

Please refer to Fig. 3, Fig. 3 is a flowchart of a physiological data collection method provided by the second embodiment of the present invention, the method is applied to a physiological data collection system, and the system includes a computer, an alarm, a sensor and an identity sampling device , the method includes. The process shown in Figure 3 will be described in detail below, and the method includes:

Step S210: the computer obtains the sample information of the human body collected by the identity sampling device.

Step S220: Match the sample information with a plurality of pre-stored sample information.

Step S230: If the matching fails, the computer creates a new folder, and the new folder contains the identification information of the sample information that failed to match.

Step S231: Obtain the physiological feature data of the human body collected by the sensor, and the physiological feature data is stored in the new folder containing the identification information of the sample information that failed to match.

Step S240: If the matching is successful, obtain the physiological characteristic data of the human body collected by the sensor.

Step S250: Save the acquired physiological characteristic data in a folder containing the identification information of the successfully matched sample information.

Step S260: Compare the physiological characteristic data stored in the folder with the preset physiological characteristic range value.

Step S270: If the physiological characteristic data stored in the folder is not within the preset physiological characteristic range value, send an alarm instruction to the alarm device.

third embodiment

Please refer to FIG. 4 . FIG. 4 is a structural block diagram of a physiological data collection device provided by a third embodiment of the present invention. The device 400 is applied to a physiological data collection system, and the system includes a computer, an alarm, a sensor, and an identity sampling device. The structural block diagram shown in FIG. 4 will be described below, and the shown device 400 includes:

An acquisition module 410, configured to acquire the sample information of the human body collected by the identity sampling device;

A matching module 420, configured to match the sample information with a plurality of pre-stored sample information;

The acquiring module 410 is further configured to acquire the physiological characteristic data of the human body collected by the sensor if the matching module is successfully matched;

A saving module 430, configured to save the acquired physiological characteristic data in a folder containing the identification information of the successfully matched sample information;

A comparison module 440, configured to compare the physiological characteristic data stored in the folder with the preset physiological characteristic range value;

The judging module 450 is configured to send an alarm instruction to the alarm device if the physiological characteristic data stored in the folder is not within the preset physiological characteristic range value.

As an implementation manner, the device 400 further includes a new module 460 .

When the matching module 420 fails to match, the new module 460 is used to create a new folder, and the new folder contains the identification information of the sample information that failed to match;

The acquisition module 410 is further configured to reacquire the sample information of the human body collected by the identity sampling device after the new folder is created by the new module 460 .

For the process of realizing the respective functions of the functional modules of the physiological data collection device 400 in this embodiment, please refer to the content described in the embodiments shown in FIGS. 1 to 3 above, and details will not be repeated here.

Fourth embodiment

Please refer to FIG. 5 , which is a structural block diagram of a physiological data collection device provided by a fourth embodiment of the present invention. The device 500 is applied to a physiological data collection system, and the system includes a computer, an alarm, a sensor, and an identity sampling device. The structural block diagram shown in FIG. 5 will be described below, and the shown device 500 includes:

An acquisition module 510, configured to acquire the sample information of the human body collected by the identity sampling device;

A matching module 520, configured to match the sample information with a plurality of pre-stored sample information;

The acquiring module 510 is further configured to acquire the physiological characteristic data of the human body collected by the sensor if the matching module is successfully matched;

A saving module 530, configured to save the acquired physiological characteristic data in a folder containing the identification information of the successfully matched sample information;

A comparison module 540, configured to compare the physiological characteristic data stored in the folder with the preset physiological characteristic range value;

The judging module 550 is configured to send an alarm instruction to the alarm if the physiological characteristic data stored in the folder is not within the preset physiological characteristic range value.

As an implementation manner, the device 500 further includes a new module 560 .

If the matching module 520 fails to match, the creating module 560 is used to create a new folder, and the new folder contains the identification information of the sample information that failed to match.

After the new folder is created by the new module 560:

The acquiring module 510 is further configured to acquire the physiological feature data of the human body collected by the sensor, and the physiological feature data is stored in the new folder containing the identification information of the sample information that failed to match;

The comparison module 540 is also used to compare the physiological characteristic data stored in the new folder with the preset physiological characteristic range value;

The judging module 550 is further configured to send an alarm instruction to the alarm if the physiological characteristic data stored in the new folder is not within the preset physiological characteristic range value.

Please refer to the content described in the above-mentioned embodiments shown in FIGS. 1 to 3 for the process of realizing respective functions of the functional modules of the physiological data collection device 500 in this embodiment, and details are not repeated here.

fifth embodiment

Please refer to FIG. 6 . FIG. 6 is a structural block diagram of a physiological data collection system provided by a fifth embodiment of the present invention. The system 600 includes a computer 100 , an alarm 610 , a sensor 620 and an identity sampling device 630 . The computer 100 is electrically connected to the alarm 610 , the sensor 620 and the identity sampling device 630 respectively.

The identity sampling device 630 is used to collect sample information of the human body;

The sensor 620 is used to collect physiological characteristic data of the human body;

The alarm 610 is configured to send an alarm signal after receiving an alarm instruction;

The computer 100 is used to obtain the sample information of the human body collected by the identity sampling device 630, and match the sample information with a plurality of pre-stored sample information. If the matching is successful, obtain the physiological information of the human body collected by the sensor 620. Feature data, saving the acquired physiological feature data in a folder containing the identification information of the successfully matched sample information, and storing the physiological feature data stored in the folder with the preset physiological feature range value Comparison is performed, and if the physiological characteristic data stored in the folder is not within the preset physiological characteristic range value, an alarm instruction is sent to the alarm 610 .

In summary, the physiological data collection method, device and system proposed by the embodiments of the present invention solve the problem of cumbersome operation of the traditional physiological data processing method by using a computer to collect physiological indicators of the human body. The identity of the user is verified to solve the problems of cumbersome operation, heavy workload, and error-prone in traditional physiological data processing methods. In addition, the collected human physiological data is compared with the normal range value, and if the collected human physiological data is collected, an alarm is initiated, which is convenient for medical staff to monitor the patient's condition.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods may also be implemented in other ways. The device embodiments described above are only illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the architecture, functions and possible implementations of devices, methods and computer program products according to multiple embodiments of the present invention. operate. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or part of code that includes one or more Executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or action , or may be implemented by a combination of dedicated hardware and computer instructions.

In addition, each functional module in each embodiment of the present invention can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes. . It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is a relationship between these entities or operations. There is no such actual relationship or order between them. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention. It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within 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 (10)

1. a physiological data collection method, it is characterized in that, described method is applied to physiological data collection system, and described system comprises computer, alarm, sensor and identity sampling device, and described method comprises: The computer obtains the sample information of the human body collected by the identity sampling device; matching the sample information with a plurality of pre-stored sample information; If the matching is successful, obtain the physiological characteristic data of the human body collected by the sensor; saving the acquired physiological characteristic data in a folder containing the identification information of the successfully matched sample information; Comparing the physiological characteristic data stored in the folder with the preset physiological characteristic range value; If the physiological characteristic data stored in the folder is not within the preset physiological characteristic range value, an alarm instruction is sent to the alarm device. 2. The method according to claim 1, wherein said matching said sample information with a plurality of pre-stored sample information comprises: If the matching fails, the computer creates a new folder, and the new folder contains the identification information of the sample information of the matching failure; The computer reacquires the sample information of the human body collected by the identity sampling device. 3. The method according to claim 1, wherein said matching said sample information with a plurality of pre-stored sample information comprises: If the matching fails, the computer creates a new folder, and the new folder contains the identification information of the sample information of the matching failure; Acquire the physiological characteristic data of the human body collected by the sensor, and the physiological characteristic data is stored in the new folder containing the identification information of the sample information of the matching failure; comparing the physiological characteristic data stored in the new folder with the preset physiological characteristic range value; If the physiological characteristic data stored in the new folder is not within the preset physiological characteristic range value, an alarm instruction is sent to the alarm device. 4. The method according to claim 1, wherein the computer obtaining the sample information of the human body collected by the identity sampling device comprises: the computer obtaining the human body sample information collected by the identity sampling device every preset period sample information. 5 . The method according to claim 1 , wherein the sensors include a respiration sensor, a body temperature sensor, and a heart rate sensor, and the physiological characteristic data of the human body include the respiratory rate, body temperature, and heart rate of the human body. 6 . The method according to claim 1 , wherein the preset physiological characteristic range value is updated according to the historical physiological characteristic data value saved by the computer. 7. A physiological data collection device, characterized in that the device is applied to a physiological data collection system, and the system includes a computer, an alarm, a sensor and an identity sampling device, and the device includes: An acquisition module, configured to acquire the sample information of the human body collected by the identity sampling device; A matching module, configured to match the sample information with a plurality of pre-stored sample information; The acquisition module is also used to acquire the physiological characteristic data of the human body collected by the sensor if the matching module is successfully matched; A saving module, configured to save the acquired physiological characteristic data in a folder containing the identification information of the successfully matched sample information; A comparison module, configured to compare the physiological characteristic data stored in the folder with the preset physiological characteristic range value; A judging module, configured to send an alarm instruction to the alarm if the physiological characteristic data stored in the folder is not within the preset physiological characteristic range value. 8. The device according to claim 7, characterized in that the device also includes a new module, if the matching module fails to match, The new module is used to create a new folder, and the new folder contains the identification information of the sample information that fails to match; The acquiring module is further configured to reacquire the sample information of the human body collected by the identity sampling device. 9. The device according to claim 7, characterized in that the device also includes a new module, if the matching module fails to match, The new module is used to create a new folder, and the new folder contains the identification information of the sample information that fails to match; The acquisition module is also used to acquire the physiological characteristic data of the human body collected by the sensor, and the physiological characteristic data is stored in the new folder containing the identification information of the sample information that failed to match; The comparison module is also used to compare the physiological characteristic data stored in the new folder with the preset physiological characteristic range value; The judging module is further configured to send an alarm instruction to the alarm if the physiological characteristic data stored in the new folder is not within the preset physiological characteristic range value. 10. A physiological data acquisition system, characterized in that the system includes a computer, an alarm, a sensor and an identity sampling device, and the computer is electrically connected to the alarm, the sensor and the identity sampling device respectively; The identity sampling device is used to collect sample information of the human body; The sensor is used to collect physiological characteristic data of the human body; The alarm is used to send an alarm signal after receiving the alarm command; The computer is used to obtain the sample information of the human body collected by the identity sampling device, and match the sample information with a plurality of pre-stored sample information, and if the matching is successful, obtain the physiological characteristic data of the human body collected by the sensor, saving the acquired physiological characteristic data in a folder containing the identification information of the successfully matched sample information, and comparing the physiological characteristic data stored in the folder with the preset physiological characteristic range value , if the physiological characteristic data stored in the folder is not within the preset physiological characteristic range value, sending an alarm instruction to the alarm device.