Inhaler monitoring device with integrated electronic module and method for calculating intake flow rate

Abstract

The invention discloses an inhaler monitoring device with an integrated electronic module and an air inlet flow rate calculation method. The inhaler monitoring device comprises a shell and a base. A cavity space is formed between the shell and the base, a PCB is installed in the cavity space, an electronic module is arranged on the PCB and comprises a sensor system, and the shell is used for containing an inhaler and transmitting air pressure changes caused by the air inlet flow speed of the inhaler to the sensor system for measurement. The air pressure change caused by the air inlet flow speed of the inhaler can be conducted to the sensor system to be detected, so that parameters in airflow can be measured, the air pressure is detected, the air inlet flow speed of an air inlet of the inhaler is calculated, an inspiration flow curve is drawn at a client side, and accurate flow change data can be fed back in real time.

Description

Technical Field

[0001] The invention relates to the technical field of drug inhalation monitoring, and in particular to an inhaler monitoring device with an integrated electronic module and an intake air flow rate calculation method. Background Art

[0002] A drug inhaler is a medical device specifically used for drug inhalation. It combines the drug with the inhaler and allows the patient to inhale the drug into the body through breathing movements to achieve the therapeutic purpose. It is usually used to treat respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD).

[0003] When using such an inhaler, the user may inhale ineffectively without knowing it. Existing drug inhalers lack monitoring means for whether the patient inhales effectively, making it difficult to determine the final treatment effect.

[0004] In order to monitor the inhalation of drugs, sensors are used to monitor the inhalation device. For example, Chinese patent announcement number CN110461394A discloses an inhalation device with an integrated electronic module, which discloses the use of sensors to collect inhalation parameters. The inhalation parameters can indicate the quality or intensity of the user's inhalation, thereby indicating the extent to which the full drug dose has been delivered. However, this device can only be used for disc-type inhalation devices, which use packaging strips as the form of administration; it cannot be adapted to other inhalers. In addition, existing sensor technology has problems such as insufficient sensitivity, unstable data transmission, and insufficient data analysis capabilities, resulting in errors, delays, and errors in the transmitted data, and the accuracy of measuring the inhaled drug dose cannot be ensured. Summary of the invention

[0005] The object of the present invention is to solve the above technical problems and provide an inhaler monitoring device with an integrated electronic module and an intake air flow rate calculation method.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] An inhaler monitoring device with an integrated electronic module comprises a shell, wherein the shell comprises a shell and a base; the shell is mounted on the base, a cavity space is formed between the shell and the base, a PCB board is mounted in the cavity space, an electronic module is arranged on the PCB board, the electronic module comprises a sensor system, the shell is used to place the inhaler and transmit the air pressure change caused by the air intake flow rate of the inhaler to the sensor system for measurement.

[0008] Furthermore, the housing is provided with a drainage channel and a sensor chamber connecting channel, the drainage channel is connected to the outside world to drain the external air source to an air inlet of the inhaler used in conjunction with it, one end of the sensor chamber connecting channel is connected to the drainage channel, the sensor system includes a sensor chip mounted on a PCB board, the other end of the sensor chamber connecting channel is bonded to the area where the sensor chip is located on the PCB board to form a semi-enclosed sensor chamber, and the sensor chamber connecting channel is used to conduct the air pressure change caused by the air flow in the drainage channel to the sensor chip for detection. Specifically, the sensor chamber connecting channel is bonded to the PCB board through sealing silicone to ensure that the sensor chamber connecting channel is tightly fitted to the PCB board to prevent air leakage in the sensor chamber from affecting the measurement accuracy of the air pressure.

[0009] Furthermore, the drainage channel is arranged at an extended position of the design direction of the air inlet channel of the inhaler. Specifically, the air inlet channel of the existing inhaler is tangent to the edge of the cylindrical cavity in which the medicine is placed.

[0010] Furthermore, the width of the end of the sensor chamber connecting channel close to the drainage channel is smaller than the width of the end close to the sensor chip.

[0011] Furthermore, the electronic module also includes a communication system, a power system and a switch. The communication system is used to transmit the signal measured by the sensor system to the client for analysis and calculation. The communication system includes a low-power Bluetooth module, a ceramic patch Bluetooth antenna, and an LED indicator. The low-power Bluetooth module is used for data transmission, the ceramic patch Bluetooth antenna is used to ensure the stability of the Bluetooth communication process; the LED indicator is used to indicate the Bluetooth connection status.

[0012] Furthermore, the power supply system includes a 5V power supply circuit and a 3.3V power supply circuit.

[0013] Furthermore, the sensor system includes an integrated micro-electromechanical sensor, and the integrated micro-electromechanical sensor includes three measurement units: pressure, temperature and humidity.

[0014] Furthermore, the inhaler is a dry powder inhaler.

[0015] The present invention also provides an intake air flow rate calculation method, which is applied to the above-mentioned inhaler monitoring device with integrated electronic module, and the intake air flow rate calculation method comprises the following steps:

[0016] The client obtains the pressure value, temperature value, and humidity value detected in the sensor system through the communication system;

[0017] Construct fitting models based on sensor data fusion algorithms based on Kalman filtering, sensor data fusion algorithms based on machine learning, and sensor data fusion algorithms based on deep learning;

[0018] Select the optimal model and determine the relevant model parameters as the target algorithm;

[0019] Calculate the intake air flow rate of the inhaler device using a target algorithm according to the obtained pressure value, temperature value, and humidity value;

[0020] Draw the suction flow curve on the client side according to the intake air flow rate.

[0021] Furthermore, the sensor data fusion algorithm based on Kalman filtering includes a traditional Kalman sensor data fusion algorithm, an extended Kalman sensor data fusion algorithm, an unscented Kalman sensor data fusion algorithm and a sensor data fusion algorithm based on particle filtering.

[0022] Furthermore, the sensor data fusion algorithm based on machine learning includes a supervised machine learning algorithm; the supervised machine learning algorithm includes a non-integrated learning algorithm model and an integrated learning algorithm model; the non-integrated learning algorithm model includes a multidimensional linear regression algorithm, a decision tree algorithm, and a support vector machine algorithm;

[0023] The integrated learning algorithm model includes bootstrap aggregation method, boosting algorithm, voting method and stacking method; the bootstrap aggregation method includes random forest algorithm and extra tree algorithm; the boosting algorithm includes adaptive boosting algorithm, gradient boosting tree algorithm, optimized gradient boosting algorithm, LightGBM algorithm and CatBoost algorithm.

[0024] Furthermore, the sensor data fusion algorithm based on deep learning mainly includes convolutional neural network algorithm, recurrent neural network algorithm, long short-term memory network algorithm, gate-controlled recurrent unit algorithm, temporal convolutional network algorithm, generative adversarial network algorithm and algorithm based on Transformer model.

[0025] Furthermore, the optimal model is selected and the relevant model parameters are determined as the target algorithm, and the determination coefficient (R 2 ), mean absolute error (MAE), mean square error (MSE) and root mean square error (RMSE) are determined after normalization.

[0026] The inhaler monitoring device with integrated electronic module and the intake air flow rate calculation method provided by the present invention have the following beneficial effects: the inhaler monitoring device can transmit the air pressure change caused by the intake air flow rate of the inhaler to the sensor system for detection, so that the parameters in the air flow can be measured, and the air pressure change detected and the Bernoulli principle are related to the air pressure so as to calculate the intake air flow rate of the inhaler air inlet by detecting the air pressure, and because the sensor chamber connecting channel and the sensor chamber are sealed and matched, the fast-flowing gas in the drainage channel will not enter the sensor chamber connecting channel, so that the air flow in the sensor chamber connecting channel will not be lost, thereby not causing loss to the air flow in the drainage channel, ensuring that the signal can be collected while avoiding affecting the original flow field of the inhaler; the intake air flow rate calculation method adopts a data fusion algorithm, and simultaneously adopts temperature and humidity information for compensation calibration, and through the comparison and fitting of the performance of multiple algorithms, the calculation result is more accurate, so as to overcome the problem of inaccuracy caused by a single detection value and a simple linear fitting; the patient's inhalation condition can be detected throughout the whole process, so as to accurately collect the air flow rate condition. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The specific embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings:

[0028] Figure 1 A schematic diagram of the structure of an inhaler monitoring device with an integrated electronic module provided by the present invention;

[0029] Figure 2 A schematic diagram of the three-dimensional structure of the inhaler monitoring device with integrated electronic module provided by the present invention in cooperation with the inhaler;

[0030] Figure 3 A cross-sectional schematic diagram of the inhaler monitoring device with integrated electronic module provided by the present invention cooperating with an inhaler;

[0031] Figure 4 The inhaler monitoring device with integrated electronic module provided by the present invention cooperates with the inhaler to form an explosion-proof device. Figure 1 ;

[0032] Figure 5 The inhaler monitoring device with integrated electronic module provided by the present invention cooperates with the inhaler to form an explosion-proof device. Figure 2 ;

[0033] Figure 6 A three-dimensional schematic diagram of a housing in an inhaler monitoring device with an integrated electronic module provided by the present invention Figure 1 ;

[0034] Figure 7 A three-dimensional schematic diagram of a housing in an inhaler monitoring device with an integrated electronic module provided by the present invention Figure 2 ;

[0035] Figure 8 It is a schematic diagram of the structural module of the electronic module in the present invention;

[0036] Fig. 9 is a flow chart of the intake air velocity calculation method;

[0037] Fig.10 An example radar chart of the model performance in the intake air velocity calculation method;

[0038] Fig.11 The following is an example of the intake air flow rate calculation method.

[0039] Explanation of the numbers in the figure: 10, shell; 20, shell; 21, drainage channel; 22, sensor chamber connecting channel; 23, contact plane; 24, groove; 25, snap-fit ​​structure; 26, rib structure; 30, base; 31, fixing seat; 40, PCB board; 41, sensor chip; 50, sensor chamber; 60, inhaler; 61, air inlet. DETAILED DESCRIPTION

[0040] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0041] 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.

[0042] It should be noted that all directional indications in the embodiments of the present invention (such as up-down-left-right-front-back...) are only used to explain the relative position relationship - movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly. The connection can be a direct connection or an indirect connection.

[0043] like Figure 1-Figure 8 As shown, the present embodiment provides an inhaler monitoring device with an integrated electronic module, including a shell 10, wherein the shell 10 includes a shell 20 and a base 30; the shell 20 is mounted on the base 30, a cavity space is formed between the shell 20 and the base 30, a PCB board 40 is mounted in the cavity space, an electronic module is arranged on the PCB board 40, and the electronic module includes a sensor system, the shell 20 is used to place the inhaler 60 and transmit the air pressure change caused by the air intake flow rate of the inhaler 60 to the sensor system for measurement.

[0044] By adopting the above technical solution, the air pressure change caused by the intake flow rate of the inhaler 60 can be transmitted to the sensor system for detection, so that the parameters in the air flow can be measured. According to the detected air pressure change and Bernoulli's principle, the air pressure is related to the flow rate, so as to calculate the intake flow rate of the air inlet 61 of the inhaler 60 based on the detected air pressure change.

[0045] Specifically, the housing 20 is provided with a drainage channel 21 and a sensor chamber connecting channel 22, the drainage channel 21 is connected to the outside to drain the external air source to an air inlet 61 of the inhaler 60 used in conjunction, one end of the sensor chamber connecting channel 22 is connected to the drainage channel 21, the sensor system includes a sensor chip 41 mounted on a PCB board 40, the other end of the sensor chamber connecting channel 22 is bonded to the area where the sensor chip 41 is located on the PCB board 40 to form a semi-enclosed sensor chamber 50, and the sensor chamber connecting channel 22 is used to conduct the air pressure change caused by the air flow in the drainage channel 21 to the sensor chip 41 for detection. Specifically, the sensor chamber connecting channel 22 and the PCB board 40 are bonded by sealing silicone to ensure that the sensor chamber connecting channel 22 and the PCB board 40 are tightly fitted and kept sealed to prevent air leakage in the sensor chamber 50 from affecting the accuracy of air pressure measurement. Since the sensor chamber connecting channel 22 is sealed with the sensor chamber 50, the fast-flowing gas in the drainage channel 21 will not enter the sensor chamber connecting channel 22, so that the airflow in the sensor chamber connecting channel 22 will not be lost, thereby not causing loss to the airflow in the drainage channel 21, ensuring that the signal can be collected while avoiding affecting the original flow field of the inhaler 60.

[0046] Specifically, the drainage channel 21 is arranged at an extended position of the design direction of the air inlet 61 channel of the inhaler 60. Specifically, the air inlet 61 channel of the existing inhaler 60 is tangent to the edge of the cylindrical cavity in which the medicine is placed. It should be noted that the inhaler 60 can be a dry powder inhaler, and the dry powder inhaler can be an inhaler of the Breezhaler series of Novartis, or an inhaler of the Aerolizer series of Novartis, or an RS series inhaler of Berry; wherein the inhaler 60 adopts the inhaler of the Breehaler series of Novartis, which can be: Onbrez Breezhaler, SeebriBreezhaler, Ultibro Breezhaler, ENERZAIR Breezhaler, or ATECTURA Breezhaler.

[0047] Specifically, the width of the end of the sensor chamber connecting channel 22 close to the drainage channel 21 is smaller than the width of the end close to the sensor chip 41. In one example, the width of the end of the sensor chamber connecting channel 22 close to the drainage channel 21 is one third of the width of the end close to the sensor chip 41. This reduces the airflow change at the air inlet 61 of the inhaler 60.

[0048] like Figure 6-Figure 7 As shown, specifically, the housing 20 is provided with a placement structure matching the inhaler 60 to achieve fixation and stability of the inhaler 60. In one embodiment, when the inhaler 60 is a Breezhaler series inhaler of Novartis, the housing 20 is provided with a contact plane 23 for placing the inhaler 60, and the contact plane 23 is provided with a groove 24, and the groove 24 is provided with a travel space reserved for the movement of two buttons at the bottom of the inhaler 60.

[0049] A buckle structure is provided between the housing 20 and the base 30 to achieve a mutually buckled connection; a support structure for increasing its structural strength is provided on the housing 20. In one embodiment, when the inhaler 60 is a Breezhaler series inhaler of Novartis, a buckle structure 25 is provided on the housing 20, and the buckle structure 25 is buckled and connected with the base 30; a rib structure 26 is provided on one side of the housing 20 close to the base 30. The rib structure 26 is provided to improve the structural strength of the housing 20 and maintain the stability of the structure. It should be noted that the buckle structure 25 can also be provided on the base 30, and the base 30 is buckled and connected with the housing 20 through the buckle structure 25. It is understandable that the connection mode in which the housing 20 is buckled and connected with the base 30 through the buckle structure 25 can also be replaced by being connected by screws.

[0050] The base 30 is provided with a mounting structure for mounting the PCB board 40. In one embodiment, when the inhaler 60 is a Breezhaler series inhaler of Novartis, the base 30 is provided with a fixing seat 31 for mounting the PCB board 40. It is convenient to install and fix the PCB board 40 on the base 30.

[0051] Specifically, the electronic module also includes a communication system, a power system and a switch. The communication system is used to transmit the signal measured by the sensor system to the client for analysis and calculation. The communication system includes a low-power Bluetooth module, a ceramic patch Bluetooth antenna and an LED indicator. The low-power Bluetooth module is used for data transmission, and the ceramic patch Bluetooth antenna is used to ensure that the Bluetooth communication process is stable and there is no packet loss; the LED indicator is used to indicate the Bluetooth connection status. The flashing indicator indicates that the Bluetooth is not connected; the stable indicator light indicates that the Bluetooth is connected. The communication system uses a wireless communication device to wirelessly connect to the user terminal. The signal is transmitted to the client through the communication system, which facilitates the client to analyze, calculate and view.

[0052] Specifically, the power supply system includes a 5V power supply circuit and a 3.3V power supply circuit. The 5V power supply circuit is mainly a charging and discharging circuit connecting the USB Type-C interface and the rechargeable lithium battery, and the 3.3V power supply circuit is implemented by a voltage stabilizing chip and is mainly a power supply circuit for the sensor.

[0053] Specifically, the sensor system includes an integrated micro-electromechanical sensor, and the integrated micro-electromechanical sensor includes three measurement units: pressure, temperature and humidity.

[0054] like Fig. 9 As shown, the present invention also provides an intake air flow rate calculation method, which is applied to the inhaler monitoring device with an integrated electronic module in the above embodiment, and the intake air flow rate calculation method comprises the following steps:

[0055] The client obtains the pressure value, temperature value, and humidity value detected in the sensor system through the communication system;

[0056] The sensor data fusion algorithm based on Kalman filtering, the sensor data fusion algorithm based on machine learning and the sensor data fusion algorithm based on deep learning are used to build fitting models; this method uses the data fusion algorithm and uses temperature and humidity information for compensation calibration. Through the comparative fitting of the performance of multiple algorithms, the calculation results are more accurate, so as to overcome the inaccuracy caused by a single detection value and simple linear fitting;

[0057] Select the optimal model and determine the relevant model parameters as the target algorithm;

[0058] Calculate the intake air flow rate of the inhaler 60 device using a target algorithm based on the obtained pressure value, temperature value, and humidity value;

[0059] Draw the suction flow curve on the client side according to the intake air flow rate.

[0060] The above scheme is adopted to mark the maximum inspiratory flow rate (PIFR) and inspiratory capacity (IC) information. These two information are currently the key feedback indicators for the use of inhalers by users and have clinical significance. Especially PIFR, it is generally believed that the larger the PIFR, the higher the drug delivery efficiency. Drawing the inspiratory flow curve on the client such as computer and mobile phone can provide real-time feedback of accurate flow change data, and mark the maximum inspiratory flow rate (PIFR) and inspiratory capacity (IC) information, such as Fig.11 As shown. Accurate flow change data can be fed back in real time, and the maximum inspiratory flow rate (PIFR) and inspiratory capacity (IC) information can be marked; the processor at the user end has a memory to record the number of effective inhalations each time; the user terminal can be a patient medication data collection platform used by doctors, or a mobile phone APP for patients, which is convenient for doctors and patients to view the duration of this and previous inhalations, the total inhalation volume, the maximum volume flow rate during inhalation, and the volume flow curve.

[0061] Through these characteristics of the user's inhalation, the doctor can evaluate the inhalation efficacy, that is, whether the inhaler has been used in a way that fully atomizes the drug powder, and thus provide the user with suggestions for improvements in the operation of the device.

[0062] Among them, the sensor data fusion algorithm based on Kalman filtering includes a traditional Kalman sensor data fusion algorithm, an extended Kalman sensor data fusion algorithm, an unscented Kalman sensor data fusion algorithm and a sensor data fusion algorithm based on particle filtering.

[0063] Among them, the sensor data fusion algorithm based on machine learning includes a supervised machine learning algorithm; the supervised machine learning algorithm includes a non-integrated learning algorithm model and an integrated learning algorithm model; the non-integrated learning algorithm model includes a multidimensional linear regression algorithm, a decision tree algorithm, and a support vector machine algorithm;

[0064] The integrated learning algorithm model includes bootstrap aggregation method (bagging method), boosting algorithm, voting method and stacking method; the bootstrap aggregation method (bagging method) includes random forest algorithm and extra tree algorithm; the boosting algorithm includes adaptive boosting algorithm, gradient boosting tree algorithm, optimized gradient boosting algorithm, LightGBM algorithm and CatBoost algorithm.

[0065] Among them, the sensor data fusion algorithm based on deep learning mainly includes convolutional neural network algorithm, recurrent neural network algorithm, long short-term memory network algorithm, gate-controlled recurrent unit algorithm, temporal convolutional network algorithm, generative adversarial network algorithm and algorithm based on Transformer model.

[0066] The optimal model is selected and the relevant model parameters are determined as the target algorithm, and the comprehensive evaluation coefficient (R 2 ), mean absolute error (MAE), mean square error (MSE) and root mean square error (RMSE) are normalized and determined. Specifically, Fig.10 As shown, the coefficient of determination (R 2 ), mean absolute error (MAE), mean square error (MSE) and root mean square error (RMSE). The four indicators are normalized using the MinMaxScalar method. The score of R2 is the normalized value. The scores of the other three error-related indicators are 1 minus the normalized values. Finally, all the scores are plotted in a radar chart. The larger the scores, the better the model performance. The radar chart can be used to compare model performance more intuitively.

[0067] The parts not involved in this technical solution can be implemented by using existing technologies.

[0068] The above shows and describes the basic principles, main features and characteristics of the present invention. It should be understood by those skilled in the art that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements fall within the scope of the present invention to be protected. The scope of the present invention to be protected includes the attached claims and their equivalents.

Claims

1. An inhaler monitoring device with an integrated electronic module, characterized in that: A housing (10), the housing (10) comprising a housing (20) and a base (30); the housing (20) is mounted on the base (30), a cavity space is formed between the housing (20) and the base (30), a PCB board (40) is mounted in the cavity space, an electronic module is arranged on the PCB board (40), the electronic module comprises a sensor system, the housing (20) is used to place an inhaler (60) and transmit the air pressure change caused by the air intake flow rate of the inhaler (60) to the sensor system for measurement.

2. The inhaler monitoring device with integrated electronic module according to claim 1, characterized in that: The housing (20) is provided with a drainage channel (21) and a sensor chamber connecting channel (22); the drainage channel (21) is in communication with the outside to drain an external air source to an air inlet (61) of an inhaler (60) used in conjunction therewith; one end of the sensor chamber connecting channel (22) is connected to the drainage channel (21); the sensor system comprises a sensor chip (41) mounted on a PCB board (40); the other end of the sensor chamber connecting channel (22) is bonded to a region on the PCB board (40) where the sensor chip (41) is located to form a semi-enclosed sensor chamber (50); the sensor chamber connecting channel (22) is used to transmit air pressure changes caused by airflow in the drainage channel (21) to the sensor chip (41) for detection.

3. The inhaler monitoring device with integrated electronic module according to claim 2, characterized in that: The drainage channel (21) is arranged at an extended position of the air inlet (61) of the inhaler (60) in the design direction of the channel; the width of the end of the sensor chamber connecting channel (22) close to the drainage channel (21) is smaller than the width of the end close to the sensor chip (41).

4. The inhaler monitoring device with integrated electronic module according to claim 1, characterized in that: The electronic module also includes a communication system, a power supply system and a switch. The communication system is used to transmit the signal measured by the sensor system to the client for analysis and calculation. The communication system includes a low-power Bluetooth module, a ceramic patch Bluetooth antenna and an LED indicator light.

5. The inhaler monitoring device with integrated electronic module according to claim 1, characterized in that: The power supply system includes a 5V power supply circuit and a 3.3V power supply circuit; the sensor system includes an integrated micro-electromechanical sensor, and the integrated micro-electromechanical sensor includes three measurement units of pressure, temperature and humidity.

6. An inhaler monitoring device with an integrated electronic module, characterized in that: A shell (10), the shell (10) comprising a shell (20) and a base (30); the shell (20) is mounted on the base (30), a cavity space is formed between the shell (20) and the base (30), a PCB board (40) is mounted in the cavity space, an electronic module is arranged on the PCB board (40), the electronic module comprises a sensor system, the shell (20) is used to place an inhaler (60) and transmit the air pressure change caused by the air intake flow rate of the inhaler (60) to the sensor system for measurement, and the inhaler (60) is a dry powder inhaler.

7. A method for calculating intake air flow rate, applied to an inhaler monitoring device with an integrated electronic module as claimed in any one of claims 1 to 6, characterized in that: The intake air flow rate calculation method comprises the following steps: The client obtains the pressure value, temperature value, and humidity value detected in the sensor system through the communication system; Construct fitting models based on sensor data fusion algorithms based on Kalman filtering, sensor data fusion algorithms based on machine learning, and sensor data fusion algorithms based on deep learning; Select the optimal model and determine the relevant model parameters as the target algorithm; Calculating the intake air flow rate of the inhaler (60) device using a target algorithm based on the obtained pressure value, temperature value, and humidity value; Draw the suction flow curve on the client side according to the intake air flow rate.

8. The method for calculating intake air velocity according to claim 7, characterized in that: The sensor data fusion algorithm based on Kalman filtering includes a traditional Kalman sensor data fusion algorithm, an extended Kalman sensor data fusion algorithm, an unscented Kalman sensor data fusion algorithm, and a sensor data fusion algorithm based on particle filtering; The sensor data fusion algorithm based on machine learning includes a supervised machine learning algorithm; the supervised machine learning algorithm includes a non-integrated learning algorithm model and an integrated learning algorithm model; the non-integrated learning algorithm model includes a multidimensional linear regression algorithm, a decision tree algorithm, and a support vector machine algorithm; the integrated learning algorithm model includes a bootstrap aggregation method, a boosting algorithm, a voting method, and a stacking method; the bootstrap aggregation method includes a random forest algorithm and an extra tree algorithm; the boosting algorithm includes an adaptive boosting algorithm, a gradient boosting tree algorithm, an optimized gradient boosting algorithm, a LightGBM algorithm, and a CatBoost algorithm; The sensor data fusion algorithm based on deep learning mainly includes convolutional neural network algorithm, recurrent neural network algorithm, long short-term memory network algorithm, gate-controlled recurrent unit algorithm, temporal convolutional network algorithm, generative adversarial network algorithm and algorithm based on Transformer model.

9. The method for calculating intake air flow rate according to claim 8, characterized in that: The optimal model is selected and the relevant model parameters are determined as the target algorithm, and the comprehensive evaluation coefficient (R 2 ), mean absolute error (MAE), mean square error (MSE) and root mean square error (RMSE) are determined after normalization.

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