Management system for PICC catheter maintenance based on artificial intelligence

Abstract

The invention discloses a PICC catheter maintenance management system based on artificial intelligence; the management system comprises a control module, the control module is electrically connected to a processing module, the processing module is electrically connected to a positioning module and a communication module, the communication module is communicatively connected to a hospital terminal, the processing module comprises a receiving unit, a gain unit, a filtering unit, a conversion unit and a cleaning unit; a one-key dressing change reservation on the control module is used to make an appointment for PICC catheter maintenance, and the processing module is electrically connected to a setting module; the invention is connected to a hospital terminal through the communication module, so that a patient can make an appointment for dressing change quickly and simply; the dressing change time is set through the setting module; data information is processed, and the data information can be acquired, amplified, clutter filtered, analog-to-digital converted and abnormality detected, so as to improve the accuracy of the data information.

Description

Technical Field

[0001] The present invention belongs to the field of auxiliary medical technology, and in particular relates to a PICC catheter maintenance management system based on artificial intelligence. Background Art

[0002] A PICC catheter is a catheter used to enter a large vein in the chest (central venous catheter). Other types of central venous catheters include implantable intravenous ports and central venous catheters. It is mainly used to infuse chemotherapy drugs. Patients need to wear the catheter at home during chemotherapy intervals. Complications may occur if care is not kept up. PICC (Peripherally Inserted Central Catheter) is a central venous catheter inserted through a peripheral vein, with its tip located in the superior vena cava. The main function of PICC is to provide patients with a long-term, stable venous access for the infusion of various drugs, including antibiotics, chemotherapy drugs, and nutrient solutions.

[0003] Catheter maintenance is a very important part of PICC catheter care. Correct catheter maintenance can effectively reduce the risk of catheter infection and blockage and ensure the safety of patients. During the patient's hospitalization, the nurse will provide professional care for the catheter. When the patient is at home with the catheter during the chemotherapy interval, PICC catheter maintenance needs to find a hospital with catheter maintenance qualifications and make an appointment to get catheter maintenance. In this way, it is necessary to go to the hospital for dressing change. However, when changing the dressing, the existing equipment needs to make an appointment directly at the hospital and ask the hospital whether the dressing can be changed. Various artificial intelligence appointment diagnosis and treatment nursing service systems on the market are relatively simple, lacking accurate and efficient specialist nursing services, and the system operation steps are too complicated and not used by patients. In order to facilitate patients and improve patient satisfaction and improve hospital work efficiency, a management system for making appointments for PICC catheter maintenance through artificial intelligence is now designed.

[0004] However, the existing artificial intelligence PICC catheter maintenance management system still has problems such as inconvenience in setting dressing change time, inability to directly query hospital information through big data, and inability to process online appointments, which causes delays in PICC catheter maintenance, aggravates catheter complications, affects treatment, and even aggravates the patient's condition. In addition, when the hospital is changing dressings and conducting examinations, it is not possible to transmit the patient's condition to the patient, and when transmitting, it is not convenient to process data information, and it is impossible to improve the accuracy of data information. For this reason, we propose a PICC catheter maintenance management system based on artificial intelligence. Summary of the invention

[0005] The purpose of the present invention is to provide a PICC catheter maintenance management system based on artificial intelligence to solve the problems raised in the above background technology.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an artificial intelligence-based PICC catheter maintenance management system, comprising a control module, the control module is electrically connected to a processing module, the processing module is electrically connected to a positioning module and a communication module, the communication module is communicatively connected to a hospital terminal, the hospital terminal is used to upload that the hospital has a PICC catheter maintenance function, the communication module is used to realize data transmission and establish contact, and the processing module is used to realize processing of various transmitted data information to improve the accuracy of the data information;

[0007] The processing module includes a receiving unit for acquiring data information, a gain unit for amplifying the data information, a filtering unit for filtering out clutter from the data information, a conversion unit for performing analog-to-digital conversion on the data information, and a cleaning unit for detecting abnormalities on the data information;

[0008] The cleaning unit divides the data information into z clusters through cluster centers.

[0009]

[0010] Where F is the outlier factor, D is the collected voltage peak signal, |z j | is the number of samples in the jth cluster group, d(p,z j ) is the distance between sample p and the jth cluster center, and z j is the jth cluster center;

[0011] For the distance away from the cluster center, it is set to average the distance from the center of all data information, that is, If the distance of the data information is greater than 2d, the voltage peak signal is determined to be abnormal data information;

[0012] The positioning module is used to determine the location distribution of hospitals with PICC catheter maintenance functions. When the hospital terminal transmits data with PICC catheter maintenance functions, it carries the hospital's working hours, so that patients can make appointments for PICC catheter maintenance through the one-key dressing change appointment on the control module. The processing module is electrically connected to a setting module, and the setting module is used to set the time for PICC dressing change, and to issue an alarm reminder when the dressing change time arrives. The setting module includes a clock unit and an alarm unit.

[0013] Preferably, the clock unit is used to set the time for PICC dressing change, and the clock unit also sets the hospital appointment time, and the hospital appointment time is twelve hours earlier than the PICC dressing change time, so as to facilitate advance appointment with the hospital. The warning unit adopts an audible and visual alarm, and the audible and visual alarm is used to give a warning reminder when the set time is reached.

[0014] Preferably, the filtering unit adopts a second-order IIR low-pass filter or a FIR filter.

[0015] The calculation formula of the second-order IIR low-pass filter is as follows:

[0016]

[0017] y(n) is the output data, x n is the input data, a and b are the coefficients of the filter, n is the number of filtering times, k=0 is the data information processed this time, k=1 is the data information processed next time, and nk is the position of the data information;

[0018] The FIR filter uses a finite length unit impulse response filter. The definition of an M-order FIR filter is as follows:

[0019] The relationship between the FIR output of length M and the input time series z(n) is given by a finite convolution sum:

[0020]

[0021] The above expression is an M-1 order FIR filter, which has M taps, and therefore consists of M multipliers and M-1 accumulators. Each tap requires a multiplier accumulator unit that consumes logic resources.

[0022] Where z(n) is the input signal, h(j) is the FIR filter coefficient, and v(n) is the filtered signal.

[0023] Preferably, the control module is electrically connected to a power supply module, and the power supply module is electrically connected to a charging module, and the charging module is used to charge the power supply module. The power supply module includes a battery assembly, and the battery assembly is electrically connected to the charging module for storing the amount of electricity delivered by the charging module.

[0024] Preferably, the power supply module includes a step-down circuit for reducing a high voltage to a low voltage, the power supply module includes a filter circuit, the filter circuit is used to filter out the AC voltage in the DC voltage, and the power supply module includes a voltage stabilizing circuit, the voltage stabilizing circuit is used to stabilize the voltage output, and is used to stabilize the voltage at 5V / 12V for output.

[0025] Preferably, the control module is electrically connected to an auxiliary module, and the auxiliary module is used to assist the operation of the system. The auxiliary module includes a display screen, control buttons and a reset circuit. The display screen is used to display various data information, the control buttons are used to implement operational adjustment and control of the system, and the reset circuit is used to implement reset and restart in the event of system abnormality.

[0026] Preferably, the hospital terminal is connected to the detection equipment inside the hospital, and obtains the abnormality of the catheter through the catheter abnormality detection module, and takes pictures and videos of the internal catheter through the pattern module, and the hospital terminal transmits the abnormality of the catheter, the pictures and videos of the detection results to the control module for patients to watch.

[0027] Preferably, the cleaning unit performs calculation and analysis processing by a linear regression algorithm, and calculates a linear model of the collected data information by linear regression;

[0028] In the linear regression algorithm, X is the input value of the data and Y is the output value of the data. The dependency relationship between Y and X is expressed as:

[0029] Y i =α+βX i +ε i ;

[0030] Among them, α and β are constants, ε i The random disturbance term is a random variable that cannot be directly observed. i represents the number of items of the i-th data information. α and β are collectively referred to as the parameters of the overall regression equation. α is the constant term of the overall regression equation, and the intercept of the overall regression line on the Y-axis. β is the overall regression coefficient, which is also the slope of the overall regression line. When the data information is far away from the regression line, the voltage peak signal is determined to be an abnormal signal, and the distance is determined by calculating the cluster center of the data information.

[0031] Preferably, the cleaning unit performs standardization processing on the data information, and the calculation method of data standardization is as follows:

[0032] The value of the data is set F, then the maximum value in set F is F max , the minimum value in set F is F min , and in order to make the processed data standardized and mapped to [0, 1];

[0033] Where F is the F after normalization i The output value of is directly mapped between [0, 1], and i represents the i-th data in the set F for calculation processing.

[0034] Preferably, the communication module transmits data information through the WAPI communication method, and the public-private integrated universal communication terminal is connected to the hospital terminal through the CPE via the 4G public network or private network; the communication terminal supports multiple communication protocols, and can realize information exchange and collaborative work between different devices. The transmitted data information needs to be converted into a format that can be recognized and processed by CPE, WAPI and the communication terminal through a specific communication protocol, that is, the encoding or conversion of data information is realized.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] When the present invention is used, it is connected to the hospital terminal through the communication module, so that the hospital terminal can transmit the address and working hours of each hospital where PICC catheters can be maintained, which is convenient for patients to watch, and through one-key dressing change appointment, the appointment processing can be carried out, so that patients can quickly and easily make appointments for dressing changes;

[0037] The system can set the dressing change time through the setting module, set the PICC dressing change time, and issue a warning reminder when the dressing change time comes. In addition, in order to remind patients in advance, the hospital appointment time is set, which is convenient for patients to make appointments in advance and improve the safety of patients.

[0038] And when the data information is transmitted, the data information is processed, and it can acquire the data information, amplify the data information, filter out noise from the data information, perform analog-to-digital conversion on the data information, and detect abnormalities on the data information, so as to improve the accuracy of the data information, and enable the patient to process the abnormal catheter data and pattern information, improve the accuracy of the data, and facilitate the patient to view. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] See also Figure 1The present invention provides a technical solution: a PICC catheter maintenance management system based on artificial intelligence, comprising a control module, the control module is electrically connected to a processing module, the processing module is electrically connected to a positioning module and a communication module, the communication module is communicatively connected to a hospital terminal, the hospital terminal is used to upload information that the hospital has a PICC catheter maintenance function, the communication module is used to realize data transmission and establish contact, and the processing module is used to realize processing of various transmitted data information to improve the accuracy of the data information;

[0042] The processing module includes a receiving unit for acquiring data information, a gain unit for amplifying the data information, a filtering unit for filtering out clutter from the data information, a conversion unit for performing analog-to-digital conversion on the data information, and a cleaning unit for detecting abnormalities on the data information;

[0043] The cleaning unit divides the data information into z clusters through cluster centers.

[0044]

[0045] Where F is the outlier factor, D is the collected voltage peak signal, |z j | is the number of samples in the jth cluster group, d(p,z j ) is the distance between sample p and the jth cluster center, and z j is the jth cluster center;

[0046] For the distance away from the cluster center, it is set to average the distance from the center of all data information, that is, If the distance of the data information is greater than 2d, the voltage peak signal is determined to be abnormal data information;

[0047] The positioning module is used to determine the location distribution of hospitals with PICC catheter maintenance functions. When the hospital terminal transmits data with PICC catheter maintenance functions, it carries the hospital's working hours, so that patients can make appointments for PICC catheter maintenance through the one-key dressing change appointment on the control module. The processing module is electrically connected to a setting module, and the setting module is used to set the time for PICC dressing change, and to issue an alarm reminder when the dressing change time arrives. The setting module includes a clock unit and an alarm unit.

[0048] In order to improve the life safety of several patients, the dressing change time is set to facilitate improving the life safety of patients. In this embodiment, preferably, the clock unit is used to set the time for PICC dressing change, and the clock unit also sets the hospital appointment time, and the hospital appointment time is twelve hours earlier than the PICC dressing change time, which is convenient for making an appointment with the hospital in advance. The warning unit adopts an audible and visual alarm, and the audible and visual alarm is used to give a warning reminder when the set time is reached.

[0049] In order to filter the data information and eliminate the noise in the data information, in this embodiment, preferably, the filtering unit adopts a second-order IIR low-pass filter or a FIR filter.

[0050] The calculation formula of the second-order IIR low-pass filter is as follows:

[0051]

[0052] y(n) is the output data, x n is the input data, a and b are the coefficients of the filter, n is the number of filtering times, k=0 is the data information processed this time, k=1 is the data information processed next time, and nk is the position of the data information;

[0053] The FIR filter uses a finite length unit impulse response filter. The definition of an M-order FIR filter is as follows:

[0054] The relationship between the FIR output of length M and the input time series z(n) is given by a finite convolution sum:

[0055]

[0056] The above expression is an M-1 order FIR filter, which has M taps, and therefore consists of M multipliers and M-1 accumulators. Each tap requires a multiplier accumulator unit that consumes logic resources.

[0057] Where z(n) is the input signal, h(j) is the FIR filter coefficient, and v(n) is the filtered signal.

[0058] In order to power the system and facilitate the storage of voltage to facilitate power supply operation, in the present embodiment, preferably, the control module is electrically connected to a power supply module, the power supply module is electrically connected to a charging module, the charging module is used to charge the power supply module, the power supply module includes a battery assembly, the battery assembly is electrically connected to the charging module, and is used to store the amount of electricity delivered by the charging module.

[0059] In order to achieve stable power supply to the system, in the present embodiment, preferably, the power supply module includes a step-down circuit for reducing a high voltage to a low voltage, the power supply module includes a filter circuit, the filter circuit is used to filter out the AC voltage in the DC voltage, and the power supply module includes a voltage stabilizing circuit, the voltage stabilizing circuit is used to stabilize the voltage output, and is used to stabilize the voltage at 5V / 12V for output.

[0060] In order to realize the operation of the system and improve the convenience of operation, in the present embodiment, preferably, the control module is electrically connected to an auxiliary module, and the auxiliary module is used to assist the operation of the system. The auxiliary module includes a display screen, control buttons and a reset circuit. The display screen is used to display various data information, the control buttons are used to realize the operation and adjustment of the system, and the reset circuit is used to realize resetting and restarting in case of system abnormality.

[0061] In order to detect the patient's catheter abnormality and take pictures and videos of the abnormal situation for the patient to watch, in this embodiment, preferably, the hospital terminal is connected to the detection equipment inside the hospital, and obtains the catheter abnormality through the catheter abnormality detection module, and takes pictures and videos of the internal catheter through the pattern module, and the hospital terminal transmits the catheter abnormality, pictures and videos of the detection results to the control module for the patient to watch.

[0062] In order to implement linear model processing on data information and facilitate the removal of abnormal data in the data information, in this embodiment, preferably, the cleaning unit performs calculation and analysis processing through a linear regression algorithm, and collects a linear model of the data information through linear regression calculation;

[0063] In the linear regression algorithm, X is the input value of the data and Y is the output value of the data. The dependency relationship between Y and X is expressed as:

[0064] Y i =α+βX i +ε i ;

[0065] Among them, α and β are constants, ε i The random disturbance term is a random variable that cannot be directly observed. i represents the number of items of the i-th data information. α and β are collectively referred to as the parameters of the overall regression equation. α is the constant term of the overall regression equation, and the intercept of the overall regression line on the Y-axis. β is the overall regression coefficient, which is also the slope of the overall regression line. When the data information is far away from the regression line, the voltage peak signal is determined to be an abnormal signal, and the distance is determined by calculating the cluster center of the data information.

[0066] In order to facilitate the calculation of data information and eliminate the pressure of calculation, in this embodiment, preferably, the cleaning unit performs standardization processing on the data information, and the calculation method of data standardization is as follows:

[0067] The value of the data is set F, then the maximum value in set F is F max , the minimum value in set F is F min , and in order to make the processed data standardized and mapped to [0, 1];

[0068] Where F is the F after normalization i The output value of is directly mapped between [0, 1], and i represents the i-th data in the set F for calculation processing.

[0069] In order to achieve stable transmission of data information, in this embodiment, preferably, the communication module transmits data information through the WAPI communication method, and the public-private integrated universal communication terminal is connected to the hospital terminal through the CPE via the 4G public network or private network; the communication terminal supports multiple communication protocols, and can realize information exchange and collaborative work between different devices. The transmitted data information needs to be converted into a format that can be recognized and processed by CPE, WAPI and the communication terminal through a specific communication protocol; that is, the encoding or conversion of data information is realized.

[0070] The working principle and use process of the present invention are as follows: when in use, the control module is powered by the power supply module, and the power supply module includes a charging module and a battery assembly, the system is powered by the battery assembly, and the charging module is convenient for charging the battery assembly, the power supply module includes a step-down circuit for reducing a high voltage to a low voltage, including a filter circuit, the filter circuit is used to filter the AC voltage in the DC voltage, including a voltage stabilizing circuit, and after the setting module sets the dressing change time parameter, when the dressing change time is reached, a warning reminder is issued, and a hospital appointment time is also set, and the hospital appointment time is twelve hours earlier than the PICC dressing change time, so as to facilitate the early appointment of the hospital;

[0071] When the hospital appointment time arrives, the control module accesses the hospital terminal through the communication module, and the hospital terminal returns the hospital data with the PICC catheter maintenance function, and carries the hospital's working hours when returning the data information, and determines the hospital's location information through the positioning module, and makes a hospital appointment through a one-key dressing change appointment, which is convenient for patients to visit the hospital, and when the hospital is changing the dressing, the catheter abnormality detection module and the pattern module are used to detect the abnormality of the catheter, and the detected abnormality is photographed and videoed, and the data information is transmitted to the control module through the communication module, which is convenient for patients to watch;

[0072] The transmitted data information is processed by a processing module, which has a receiving unit for acquiring data information, a gain unit for amplifying the data information, a filtering unit for filtering out noise from the data information, a conversion unit for analog-to-digital conversion of the data information, and a cleaning unit for detecting abnormalities in the data information, thereby realizing the reception, conversion, filtering, gain and cleaning of the data information, improving the accuracy of the data information, and making it easier for patients to know their own status.

[0073] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An artificial intelligence-based PICC catheter maintenance management system, including a control module, characterized in that: The control module is electrically connected to a processing module, the processing module is electrically connected to a positioning module and a communication module, the communication module is communicatively connected to a hospital terminal, the hospital terminal is used to upload that the hospital has a PICC catheter maintenance function, the communication module is used to realize data transmission and establish contact, and the processing module is used to realize processing of various transmitted data information to improve the accuracy of the data information; The processing module includes a receiving unit for acquiring data information, a gain unit for amplifying the data information, a filtering unit for filtering out clutter from the data information, a conversion unit for performing analog-to-digital conversion on the data information, and a cleaning unit for detecting abnormalities on the data information; The cleaning unit divides the data information into z clusters through cluster centers. Where F is the outlier factor, D is the collected voltage peak signal, |z j | is the number of samples in the jth cluster group, d(p,z j ) is the distance between sample p and the jth cluster center, and z j is the jth cluster center; For the distance away from the cluster center, it is set to average the distance from the center of all data information, that is, If the distance of the data information is greater than 2d, the voltage peak signal is determined to be abnormal data information; The positioning module is used to determine the location distribution of hospitals with PICC catheter maintenance functions. When the hospital terminal transmits data with PICC catheter maintenance functions, it carries the hospital's working hours, so that patients can make appointments for PICC catheter maintenance through the one-key dressing change appointment on the control module. The processing module is electrically connected to a setting module, and the setting module is used to set the time for PICC dressing change, and to issue an alarm reminder when the dressing change time arrives. The setting module includes a clock unit and an alarm unit.

2. The PICC catheter maintenance and management system based on artificial intelligence according to claim 1 is characterized in that: The clock unit is used to set the time for PICC dressing change, and the clock unit also sets the hospital appointment time, and the hospital appointment time is twelve hours earlier than the PICC dressing change time, which is convenient for making an appointment with the hospital in advance. The warning unit uses an audible and visual alarm, and the audible and visual alarm is used to give a warning reminder when the set time is reached.

3. The PICC catheter maintenance and management system based on artificial intelligence according to claim 1 is characterized in that: The filtering unit adopts a second-order IIR low-pass filter or a FIR filter. The calculation formula of the second-order IIR low-pass filter is as follows: y(n) is the output data, x n is the input data, a and b are the coefficients of the filter, n is the number of filtering times, k=0 is the data information processed this time, k=1 is the data information processed next time, and nk is the position of the data information; The FIR filter uses a finite length unit impulse response filter. The definition of an M-order FIR filter is as follows: The relationship between the FIR output of length M and the input time series z(n) is given by a finite convolution sum: The above expression is an M-1 order FIR filter, which has M taps, and therefore consists of M multipliers and M-1 accumulators. Each tap requires a multiplier accumulator unit that consumes logic resources. Where z(n) is the input signal, h(j) is the FIR filter coefficient, and v(n) is the filtered signal.

4. The PICC catheter maintenance and management system based on artificial intelligence according to claim 1 is characterized in that: The control module is electrically connected to a power supply module, and the power supply module is electrically connected to a charging module. The charging module is used to charge the power supply module. The power supply module includes a battery assembly, and the battery assembly is electrically connected to the charging module for storing the amount of electricity delivered by the charging module.

5. The artificial intelligence-based PICC catheter maintenance and management system according to claim 4 is characterized in that: The power supply module includes a step-down circuit for reducing a high voltage to a low voltage, the power supply module includes a filter circuit, the filter circuit is used to filter out the AC voltage in the DC voltage, and the power supply module includes a voltage stabilizing circuit, the voltage stabilizing circuit is used to stabilize the voltage output, and is used to stabilize the voltage at 5V / 12V for output.

6. The artificial intelligence-based PICC catheter maintenance and management system according to claim 1, characterized in that: The control module is electrically connected to an auxiliary module, which is used to assist the operation of the system. The auxiliary module includes a display screen, control buttons and a reset circuit. The display screen is used to display various data information, the control buttons are used to implement operation and adjustment control of the system, and the reset circuit is used to achieve reset and restart in the event of system abnormality.

7. The PICC catheter maintenance and management system based on artificial intelligence according to claim 1 is characterized in that: The hospital terminal is connected to the detection equipment inside the hospital, and obtains the abnormality of the catheter through the catheter abnormality detection module, and takes pictures and videos of the internal catheter through the pattern module. The hospital terminal transmits the abnormality of the catheter, the pictures and the videos of the detection results to the control module for patients to watch.

8. The PICC catheter maintenance and management system based on artificial intelligence according to claim 1 is characterized in that: The cleaning unit performs calculation and analysis processing through a linear regression algorithm, and collects a linear model of data information through linear regression calculation; In the linear regression algorithm, X is the input value of the data and Y is the output value of the data. The dependency relationship between Y and X is expressed as: Y i =α+βX i +e i ; Among them, α and β are constants, ε i The random disturbance term is a random variable that cannot be directly observed. i represents the number of items of the i-th data information. α and β are collectively referred to as the parameters of the overall regression equation. α is the constant term of the overall regression equation, and the intercept of the overall regression line on the Y-axis. β is the overall regression coefficient, which is also the slope of the overall regression line. When the data information is far away from the regression line, the voltage peak signal is determined to be an abnormal signal, and the distance is determined by calculating the cluster center of the data information.

9. The PICC catheter maintenance and management system based on artificial intelligence according to claim 1 is characterized in that: The cleaning unit performs standardization processing on the data information, and the calculation method of data standardization is as follows: The value of the data is set F, then the maximum value in set F is F max , the minimum value in set F is F min , and in order to make the processed data standardized and mapped to [0, 1]; Where F is the F after normalization i The output value of is directly mapped between [0, 1], and i represents the i-th data in the set F for calculation processing.

10. The artificial intelligence-based PICC catheter maintenance and management system according to claim 1, characterized in that: The communication module transmits data information through the WAPI communication method, and the public-private integrated universal communication terminal is connected to the hospital terminal through the CPE via the 4G public network or private network; the communication terminal supports multiple communication protocols, and can realize information exchange and collaborative work between different devices. The transmitted data information needs to be converted into a format that can be recognized and processed by CPE, WAPI and the communication terminal through a specific communication protocol; that is, the encoding or conversion of data information is realized.

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