CN114360709B - Medical data acquisition and verification system and method based on big data - Google Patents
Medical data acquisition and verification system and method based on big data Download PDFInfo
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- CN114360709B CN114360709B CN202210096736.8A CN202210096736A CN114360709B CN 114360709 B CN114360709 B CN 114360709B CN 202210096736 A CN202210096736 A CN 202210096736A CN 114360709 B CN114360709 B CN 114360709B
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Abstract
The medical data acquisition and verification system based on big data comprises a mobile terminal and a server which are connected with each other; the mobile terminal comprises an image display module; the server comprises a processor, a database and a data acquisition module; and the processor judges whether the first information range data is consistent with the second information data, if so, outputs a normal signal to the mobile terminal, and if not, sends an alarm signal to the mobile terminal by a second method. According to the invention, the second information data and the first information range data are compared through the processor by a second method, if the second information data is different from the first information range data stored in the database, the physical sign data of the patient is proved to be not matched with the standard value, and an alarm signal is sent to the mobile terminal, so that medical staff can take care of the treatment.
Description
Technical Field
The invention relates to the field of data acquisition and verification, in particular to a medical data acquisition and verification system and method based on big data.
Background
The medical data includes basic information of a patient, complaints of a disease, examination data, image data, diagnosis data, treatment data, and the like, and such data is generally generated and stored in an electronic medical record of a medical institution, which is also the most important generation place of the medical data. The data collected in the electronic medical record is the most valuable medical data with the largest data volume. Through integration with clinical information systems, the content covers the clinical data set of aspects within the hospital.
The ICU department needs to be equipped with many medical devices including monitors, ventilators, infusion pumps, muscle relaxation monitors (BIS), etc., providing real-time vital sign monitoring for the patient. Although the intelligent monitoring bed comprising a camera and a communication terminal at the bedside is also available at present, the intelligent monitoring bed can reflect the changes of the body position and the body temperature of a patient. However, medical data generated by different medical devices cannot be collected into the same system, and are respectively recorded manually by medical staff and are recorded into a computer, data which is very important for ICU medical staff cannot be collected reasonably and effectively in real time, and the medical staff inevitably makes errors when recording the data manually, so that the medical data of a patient is inaccurate, treatment can be delayed, meanwhile, the data recorded by the medical devices cannot be verified, and when the medical devices have problems, whether the data generated by the medical devices are correct or not cannot be judged.
Therefore, a medical data acquisition and verification system and method based on big data, which can record medical data generated by a plurality of medical devices in time and can automatically verify the medical data, are needed.
Disclosure of Invention
The invention aims to provide a medical data acquisition and verification system and a medical data acquisition and verification method based on big data, which can timely record medical data generated by a plurality of medical devices and can automatically verify the medical data.
The invention relates to a medical data acquisition and verification system based on big data, which comprises a mobile terminal and a server which are connected with each other;
the mobile terminal comprises an image display module, and the image display module can display second information data;
the server comprises a processor, a database and a data acquisition module, wherein the database comprises first information range data corresponding to a first disease;
the data acquisition module can acquire second information data on the first medical equipment through a first method;
the processor judges whether the first information range data is consistent with the second information data, if so, a normal signal is output to the mobile terminal, and if not, an alarm signal is sent to the mobile terminal through a second method;
the second method is
The processor moves the second information data which is not in the first information range data and the second name data corresponding to the second information data to a first column in a first table, changes the font size of the second information data and the second name data corresponding to the second information data to a second font size, changes the font color to a second color and sends an alarm signal to the mobile terminal;
the mobile terminal comprises a first interaction module, when the processor sends an alarm signal, the first interaction module can display normal icons and abnormal icons, and when medical staff select the normal icons, the processor judges whether the storage frequency of the second information data exceeds a third preset threshold value;
if the maximum value of the first extreme value and the second extreme value is the maximum value of the second information data, the processor outputs the maximum value of the first extreme value and the second extreme value as the maximum value of the second information data, and the processor converts the maximum value of the second extreme value and the second extreme value into the minimum value of the second information data, and uploads the minimum value and the minimum value of the second information data as the minimum value of the second information data, and the processor processes the minimum value and the second extreme value of the second information data as the minimum value of the second information data, and processes the minimum value and the second extreme value of the second information data as the minimum value of the second information data.
The invention relates to a medical data acquisition and verification system based on big data, wherein the first method comprises the following steps:
the database is also stored with a first table, the first table comprises basic information data and first name data, and the database is stored with second name data corresponding to the second information data;
the processor judges whether the first name data is consistent with the second name information;
if the first name data and the second name data are consistent, the processor stores the second information data corresponding to the second name data into a cell at the next row of the first name data corresponding to the second name data in the first table;
if the first name data and the second name data are not consistent, the processor converts the second name data which is different from the first name data into third name data, stores the third name data into a cell of a column below the first name data of a last column in the first table, converts second information data corresponding to the second name data corresponding to the third name data into third information data, stores the third information data into a cell of a row below the third name data, hides the third name data and the third information data in the first table, and hides the third information data and the third name data when medical staff carries out first operation.
According to the medical data acquisition and verification system based on the big data, the processor stores the second information data once every first preset time, and can acquire the time data of the second information data stored each time and sort the acquired second information data according to the reverse order of the time data of the second information data.
According to the medical data acquisition and verification system based on the big data, the mobile terminal and the server are connected in a wireless mode.
The invention relates to a medical data acquisition and verification system based on big data, wherein the first operation is as follows: if the medical staff uses the computer to operate, clicking a right mouse button on the next blank column of the last column, and clicking a cancel hidden button by using a left mouse button; if the medical staff operates with the mobile device, the image display module needs to be double-clicked in the blank of the table to switch between hiding or not hiding the third information data and the third name data.
The medical data acquisition and verification system based on big data comprises the following medical equipment, wherein the first medical equipment comprises one or more of the following combinations: monitor, breathing machine, transfer pump, muscle relaxation monitor.
The medical data acquisition and verification system based on the big data is characterized in that the mobile terminal is a computer, a mobile phone or a tablet computer.
The invention relates to an acquisition and verification method of a medical data acquisition and verification system based on big data, which comprises the following steps:
storing first information range data corresponding to a first disease;
displaying the second information data;
acquiring second information data on the first medical equipment through a first method;
judging whether the first information range data is consistent with the second information data, if so, outputting a normal signal to the mobile terminal, and if not, sending an alarm signal to the mobile terminal through a second method;
the first method is
A first table is stored, the first table comprises basic information data and first name data, and the database stores second name data corresponding to the second information data;
the processor judges whether the first name data is consistent with the second name information;
if the first name data and the second name data are consistent, the processor stores the second information data corresponding to the second name data into a cell at the next row of the first name data corresponding to the second name data in the first table;
if the first name data and the second name data are not consistent, the processor converts the second name data different from the first name data into third name data, stores the third name data into a cell of a column below the first name data of a last column in the first table, converts second information data corresponding to the second name data corresponding to the third name data into third information data, stores the third information data into a cell of a row below the third name data, hides the third name data and the third information data in the first table, and when medical personnel perform a first operation, the processor hides the third information data and the third name data;
the second method is
Moving the second information data which is not in the first information range data and the second name data corresponding to the second information data to a first column in a first table, changing the font size of the second information data and the second name data corresponding to the second information data to a second font size, changing the font color to a second color, and sending an alarm signal to the mobile terminal;
the mobile terminal comprises a first interaction module, when the processor sends an alarm signal, the first interaction module can display normal icons and abnormal icons, and when medical staff select the normal icons, the processor judges whether the storage frequency of the second information data exceeds a third preset threshold value;
if the sum of the first and second information data exceeds the threshold value, outputting a connecting line of every two adjacent second information data as a first image, calculating the mode of the plurality of second information data, outputting a first straight line d perpendicular to the vertical coordinate of the first image by using the mode, outputting a shadow area with the largest area formed by the first straight line d and the first image as a first shadow area, dividing the first shadow area into second shadow areas by a second connecting line f, wherein the second shadow area is a first percentage threshold value of the first shadow area, the second connecting line f is far away from the first connecting line d, and the vertical coordinate value corresponding to the second connecting line f is a first extreme value of the second information data, the second connecting line f is provided with a third connecting line g symmetrically by taking the first connecting line d as a symmetrical line, the value of the ordinate corresponding to the third connecting line g is the second extreme value of the second information data, the processor outputs the maximum value of the first extreme value and the second extreme value as the maximum value of the second information data, outputs the minimum value of the first extreme value and the second extreme value as the minimum value of the second information data, outputs the maximum value and the minimum value as the second information range data, and converts the second information range data into first information range data and uploads the first information range data to the database
The medical data acquisition and verification system and method based on big data are different from the prior art in that the medical data acquisition and verification system and method based on big data acquire second information data on each first medical device through a processor, the second information data are collected to a mobile terminal through a first method, the second information data on different first medical devices are compared with first information range data through a second method, if the second information data are different from the first information range data stored in a database, the standard value proves that the physical sign data of a patient are not matched, an alarm signal is sent to the mobile terminal, so that medical staff can check the state of an illness of the patient in time, perform symptomatic treatment in time, and guarantee the life safety of the patient.
The medical data acquisition and verification system and method based on big data of the present invention will be further described with reference to the accompanying drawings.
Drawings
FIG. 1 is a wireless connection diagram of a big data based medical data acquisition verification system and method;
FIG. 2 is a first schematic diagram of a big data based medical data acquisition verification system and method;
FIG. 3 is a second schematic diagram of a big data based medical data acquisition verification system and method;
FIG. 4 is a first flowchart of a big data based medical data acquisition verification system and method;
FIG. 5 is a schematic Table 1 in which the second information data which the medical person does not need to view is hidden;
fig. 6 is a schematic table 2 illustrating that, when the second information data is not in the first information range data, the column in which the second information data is located is advanced to the first column;
fig. 7 is table 3 showing that when there are a plurality of pieces of the second information data that are not in the first information range data, the column in which the plurality of pieces of the second information data are located is advanced to the first column.
Detailed Description
As shown in fig. 1 to 7, referring to fig. 1 and 4, a medical data acquisition and verification system based on big data includes a mobile terminal and a server connected to each other;
the mobile terminal comprises an image display module, and the image display module can display second information data;
the server comprises a processor, a database and a data acquisition module, wherein the database comprises first information range data corresponding to a first disease;
the data acquisition module can acquire second information data on the first medical equipment through a first method;
and the processor judges whether the first information range data is consistent with the second information data, if so, outputs a normal signal to the mobile terminal, and if not, sends an alarm signal to the mobile terminal by a second method.
According to the invention, the processor is used for acquiring the second information data on each first medical device, the second information data is gathered to the mobile terminal through the first method, the second information data on different first medical devices is compared with the first information range data through the second method, if the second information data is different from the first information range data stored in the database, the physical sign data of the patient is proved to be not matched with the standard value, and an alarm signal is sent to the mobile terminal, so that medical staff can check the state of the patient in time, perform symptomatic treatment in time and ensure the life safety of the patient.
And the mobile terminal is connected with the server in a wireless mode.
According to the invention, the server and the mobile terminal are in wireless connection, so that the server and the mobile terminal can wirelessly transmit data, and the operation of a user is more convenient.
Wherein the first medical device comprises one or more of the following in combination: monitor, breathing machine, transfer pump, muscle relaxation monitor.
The first method is to store the second information data generated by different first medical equipment directly on the mobile terminal, and the second method is to output an alarm signal directly.
Preferably, referring to fig. 1 and 5, the first method is
The database is also stored with a first table, the first table comprises basic information data and first name data, and the database is stored with second name data corresponding to the second information data;
the processor judges whether the first name data is consistent with the second name information;
if the first name data and the second name data are consistent, the processor stores the second information data corresponding to the second name data into a cell at the next row of the first name data corresponding to the second name data in the first table;
if the first name data and the second name data are not consistent, the processor converts the second name data which is different from the first name data into third name data, stores the third name data into a cell of a column below the first name data of a last column in the first table, converts second information data corresponding to the second name data corresponding to the third name data into third information data, stores the third information data into a cell of a row below the third name data, hides the third name data and the third information data in the first table, and hides the third information data and the third name data when medical staff carries out first operation.
According to the invention, the processor firstly detects whether the second information data acquired by the data acquisition module is the information which is set by a doctor and is wanted to be acquired, if so, the second information data is directly stored in the corresponding first information range data in the first form, if not, the second information data is also stored in the first form, but the second information data is hidden, if the second information data is wanted to be checked by medical staff, the hidden data is displayed by performing a first operation, so that different data generated by different medical equipment are summarized in the first form, the condition of a patient can be conveniently checked by the medical staff anytime and anywhere, and the safety of the patient can be protected at any time.
The basic information data comprises the basic information of the name, the sex, the age and the like of the patient, the basic information data can be acquired from the registration information of the patient through the local area network by the processor, the local area network is the prior art, and the description is omitted here.
The first name data is a name corresponding to different second information data on the first medical equipment, which is to be acquired by medical staff according to different diseased types of patients, and the first name data can be changed or set by the medical staff according to needs of the medical staff, in other words, the first name data is a header of a first table.
Wherein the first operation is: if the medical staff uses the computer to operate, clicking a right mouse button on the next blank column of the last column, and clicking a cancel hidden button by using a left mouse button; if the medical staff operates with the mobile device, the image display module needs to be double-clicked in the blank of the table to switch between hiding or not hiding the third information data and the third name data.
The invention can hide the information which is not set by the medical staff at the beginning directly without displaying through the content, and can display the information through the operation when needed.
The first name data and the second name data are basic information data, time, heart rate, blood oxygen saturation, blood pressure, respiration and pulse.
Wherein a first font size of the font of the second name data and the second information data is preferably a fourth font size, and a first color of the font of the second name data and the second information data is preferably black.
For example, if the medical staff only wants to observe the data of the heart rate, the blood oxygen saturation, the blood pressure, and the respiration of the patient, but the first medical device may also detect the pulse of the patient, but the medical staff does not need to observe the pulse of the patient in real time, the table 1 can be set (the pulse is listed with the gray scale added to indicate that the pulse is hidden):
preferably, referring to fig. 1, the processor stores the second information data once every first preset time, and the processor is capable of acquiring the time data of storing the second information data each time and sorting the second information data acquired each time according to a reverse order of the time data of storing the second information data.
The medical staff can directly see the sign data of the latest time of the patient through the content, and can directly see the abnormal data when the alarm signal is sent out without turning over downwards, so that the time is saved.
Wherein the first preset time is 0.1-3min, preferably 1min.
Preferably, referring to fig. 1, 4 and 6, the second method is
And the processor moves the second information data which is not in the first information range data and the second name data corresponding to the second information data to a first column in the first table, changes the font size of the second information data and the second name data corresponding to the second information data to a second font size, changes the font color to a second color and sends an alarm signal to the mobile terminal.
The invention compares the collected data with the range data corresponding to the data stored in the database. Judging whether the acquired data is in a standard range of the data stored in the database, if so, proving that the condition of the patient is stable without large fluctuation, and if not, proving that the condition of the patient is unstable, and the fluctuation is large at present, so that the processor sends an alarm signal to the mobile terminal, the medical staff notices abnormal data, adjusts the abnormal data to the front of the table, and changes the font color and font size of the abnormal data, thereby facilitating the check of the medical staff.
The second color is red, blue and green, preferably red, and the second font size is small third, third and second, preferably third.
The medical staff can observe abnormal data of the patient more clearly and clearly through the changed second color and the second font size.
Wherein the first information range data comprises different grades, and the grade of the first information range data can be changed by medical staff according to the improvement or deterioration degree of the patient.
Where the above rows and columns are also interchangeable, any variation should fall within the scope of the invention without departing from the spirit of the first table of the invention.
For example, if the first information range data of the high pressure in the blood pressure of the patient is 110 to 140mmHg, and the high pressure in the blood pressure of the patient at that time is 150mmHg, the range is exceeded, the column of the blood pressure is moved to the first column, the font is enlarged, and the font color is changed, as detailed in table 2.
Preferably, referring to fig. 1 and 7, the second method further comprises
When the processor judges that the number n of second information data which are not in the first information range data in the first table is larger than or equal to a second preset threshold value, calculating a first severity value a of different second information data according to the following formula through a first index parameter b and first floating data c of the second information data;
and the processor moves second information data and the second name data corresponding to the second information data to a first column to an nth column of the first table according to the first severity values a in descending order.
The invention can help medical staff to pay attention to the data which can affect vital signs most when the second information data of the patient are not in a normal range, the processor calculates the serious value a of the second information data according to the formula, in other words, the weight of the first index parameter b of the organ which can endanger vital signs is set to be maximum, and the data is arranged at the top in the first table.
Wherein, when the third name data and the third information data which are hidden are not in the first information range data, the more the movement of the row can be performed by calculating the first severity value a.
Wherein the first floating data c is a maximum value in the first information range data minus an absolute value of the second information data.
Wherein, the number of the second preset threshold is 1-3, preferably 2.
For example, when the high pressure in the blood pressure of the patient is 150mmHg and is not within the range of 110-140mmHg, the blood pressure of the patient is abnormal, the respiratory rate of the patient is detected to be 25 min/time and is not within the range of 10-20 min/time, and the respiratory rate of the patient is not normal, the first floating value c of the blood pressure of the patient is calculated to be |140-150| =10, the first floating value c of the respiration of the patient is |20-25| =5, and the first serious value of the blood pressure of the patient is calculated by the above formula
First severity of respiration of a patient
If the first severity value a of the blood pressure is greater than the first severity value a of the breath, then one column of blood pressure is arranged in the first column and one column of breath is arranged in the second column, as detailed in table 3.
Preferably, referring to fig. 2, 3 and 4, the mobile terminal comprises a first interaction module, when the processor sends an alarm signal, the first interaction module can display normal and abnormal icons, and when the medical staff selects a normal icon, the processor judges whether the storage frequency of the second information data exceeds a third preset threshold;
if the maximum value of the first extreme value and the second extreme value is the maximum value of the second information data, the processor outputs the maximum value of the first extreme value and the second extreme value as the maximum value of the second information data, and the processor converts the maximum value of the second extreme value and the second extreme value into the minimum value of the second information data, and uploads the minimum value and the minimum value of the second information data as the minimum value of the second information data, and the processor processes the minimum value and the second extreme value of the second information data as the minimum value of the second information data, and processes the minimum value and the second extreme value of the second information data as the minimum value of the second information data.
According to the invention, when the processor sends out the alarm signal, the medical staff can check whether the data is close to improvement or serious, if the data is serious, the symptomatic treatment is carried out, if the data is improved, although the alarm signal is output, the medical staff selects a normal icon in the background, the processor can output a range data which is in accordance with the current data of the patient according to the collected data of the patient, so that the purposes of automatic learning and automatic updating are achieved, the medical staff does not need to change the first information range data in the background by self according to the degree of illness of the patient, the system is more intelligent, and the workload of the medical staff can be reduced.
Wherein, the third preset threshold is 3-1000, preferably 8.
Wherein the first percentage threshold is 70-95%, preferably 90%.
Wherein the distance between the second connection line f and the first connection line d is: the second connecting line f can be divided into the second shaded area at the upper half and the lower half of the first shaded area, the second connecting line f is represented away from the first connecting line d when the first shaded area is located below the first connecting line f, and the second connecting line f is divided into the second shaded area at the lower half of the first shaded area; when the first shaded area is above the first connecting line f, the second connecting line f is far away from the first connecting line d, and the second connecting line f is divided into the second shaded area at the upper half part of the first shaded area.
The invention relates to an acquisition and verification method of a medical data acquisition and verification system based on big data, which comprises the following steps:
step one, storing first information range data corresponding to a first disease;
step two, displaying second information data;
acquiring second information data on the first medical equipment by a first method;
and step four, judging whether the first information range data is consistent with the second information data, if so, outputting a normal signal to the mobile terminal, and if not, sending an alarm signal to the mobile terminal by a second method.
The above-mentioned embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solution of the present invention by those skilled in the art should fall within the protection scope defined by the claims of the present invention without departing from the spirit of the present invention.
Claims (8)
1. A medical data acquisition and verification system based on big data is characterized in that: the system comprises a mobile terminal and a server which are connected with each other;
the mobile terminal comprises an image display module, and the image display module can display second information data;
the server comprises a processor, a database and a data acquisition module, wherein the database comprises first information range data corresponding to a first disease;
the data acquisition module can acquire second information data on the first medical equipment through a first method;
the processor judges whether the first information range data is consistent with the second information data, if so, a normal signal is output to the mobile terminal, and if not, an alarm signal is sent to the mobile terminal through a second method;
the second method is
The processor moves the second information data which is not in the first information range data and the second name data corresponding to the second information data to a first column in a first table, changes the font size of the second information data and the second name data corresponding to the second information data to a second font size, changes the font color to a second color, and sends an alarm signal to the mobile terminal;
the mobile terminal comprises a first interaction module, when the processor sends out an alarm signal, the first interaction module can display normal and abnormal icons, and when medical staff select the normal icons, the processor judges whether the storage times of the second information data exceed a third preset threshold value;
if the maximum value of the first extreme value and the second extreme value is the maximum value of the second information data, the processor outputs the maximum value of the second information data as the maximum value of the second information data, and uploads the maximum value of the second information data and the minimum value of the second information data as the maximum value of the second information data, and the processor processes the maximum value of the second information data and the minimum value of the second information data as the maximum value of the second information data, and processes the maximum value of the second information data and the minimum value of the second information data as the minimum value of the second information data, and processes the minimum value of the second information data as the minimum value of the second information data.
2. The big-data based medical data acquisition verification system according to claim 1, wherein: the first method is
The database is also stored with a first table, the first table comprises basic information data and first name data, and the database is stored with second name data corresponding to the second information data;
the processor judges whether the first name data is consistent with the second name data;
if the first name data and the second name data are consistent, the processor stores the second information data corresponding to the second name data into a cell at the next row of the first name data corresponding to the second name data in the first table;
if the first name data and the second name data are not consistent, the processor converts the second name data different from the first name data into third name data, stores the third name data into a cell of a column below the first name data of a last column in the first table, converts second information data corresponding to the second name data corresponding to the third name data into third information data, stores the third information data into a cell of a row below the third name data, hides the third name data and the third information data in the first table, and when medical personnel perform first operation, the processor hides the third information data and the third name data.
3. The big-data based medical data acquisition verification system according to claim 2, wherein: the processor stores the second information data once every first preset time, can acquire the time data of the second information data stored each time, and sorts the second information data acquired each time according to the reverse order of the time data of the second information data.
4. The big-data based medical data acquisition and verification system according to claim 3, wherein: the mobile terminal and the server are connected in a wireless mode.
5. The big-data based medical data acquisition and verification system according to claim 4, wherein: the first operation is: if the medical staff uses the computer to operate, clicking a right mouse button on the next blank column of the last column, and clicking a cancel hidden button by using a left mouse button; if the medical staff operates with the mobile device, the image display module needs to be double-clicked in the blank of the table to switch between hiding or not hiding the third information data and the third name data.
6. The big-data based medical data acquisition and verification system according to claim 5, wherein: the first medical device comprises one or more of the following in combination:
monitor, breathing machine, transfer pump, muscle relaxation monitor.
7. The big-data based medical data acquisition and verification system according to claim 6, wherein: the mobile terminal is a computer, a mobile phone or a tablet computer.
8. The acquisition and verification method of the big data based medical data acquisition and verification system according to any one of claims 1 to 7, comprising the following steps:
storing first information range data corresponding to a first disease;
displaying the second information data;
acquiring second information data on the first medical equipment through a first method;
judging whether the first information range data is consistent with the second information data, if so, outputting a normal signal to the mobile terminal, and if not, sending an alarm signal to the mobile terminal through a second method;
the first method is
A first table is stored, the first table comprises basic information data and first name data, and the database stores second name data corresponding to the second information data;
the processor judges whether the first name data is consistent with the second name data;
if the first name data and the second name data are consistent, the processor stores the second information data corresponding to the second name data into a cell at the next row of the first name data corresponding to the second name data in the first table;
if the first name data and the second name data are not consistent, the processor converts the second name data which is different from the first name data into third name data, stores the third name data into a cell of a column below the first name data of a last column in the first table, converts second information data corresponding to the second name data corresponding to the third name data into third information data, stores the third information data into a cell of a row below the third name data, hides the third name data and the third information data in the first table, and hides the third information data and the third name data when medical staff carries out first operation;
the second method is
Moving the second information data which is not in the first information range data and the second name data corresponding to the second information data to a first column in a first table, changing the font size of the second information data and the second name data corresponding to the second information data to a second font size, changing the font color to a second color, and sending an alarm signal to the mobile terminal;
the mobile terminal comprises a first interaction module, when the processor sends an alarm signal, the first interaction module can display normal icons and abnormal icons, and when medical staff select the normal icons, the processor judges whether the storage frequency of the second information data exceeds a third preset threshold value;
if the maximum value of the first extreme value and the second extreme value is the maximum value of the second information data, the processor outputs the maximum value of the first extreme value and the second extreme value as the maximum value of the second information data, and the processor converts the maximum value of the second extreme value and the second extreme value into the minimum value of the second information data, and uploads the minimum value and the minimum value of the second information data as the minimum value of the second information data, and the processor processes the minimum value and the second extreme value of the second information data as the minimum value of the second information data, and processes the minimum value and the minimum value of the second information data as the minimum value of the second information data, and processes the minimum value and the second extreme value as the minimum value of the second information data.
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