Intelligent air flow precise regulation and control humanoid breathing platform

Abstract

The invention provides an intelligent air flow precise regulation and control humanoid breathing platform. The intelligent air flow precise regulation and control humanoid breathing platform comprises a shell, a supporting frame, a continuous air exhaust assembly, a humanoid breathing assembly, an air filter element, a controller and a control panel. The controller adopts a mixed control algorithm of proportional-integral-differential (PID) control and neural network optimization, is connected with the continuous air exhaust assembly, the human respiration simulating assembly and the control panel, and can flexibly set constant air flow, maximum inspiration flow, maximum expiration flow, respiration rate and respiration ratio through the control panel. The air filter element comprises a moisture absorption layer, an air filter layer and a gas adsorption layer and is used for preventing particulate matter, moisture, poisonous and harmful gas and the like from entering the system, so that the service life of the instrument is prolonged. The platform can accurately simulate the breathing process, has the advantages of being high in precision, high in stability, intelligent in control and convenient to use, and can be widely applied to the fields of breathing protection equipment performance testing, gas filtering performance evaluation, human body breathing mechanism demonstration, breathing disease research and emergency rescue.

Description

Technical Field

[0001] The present invention relates to the technical field of respiratory flow simulation, and in particular to an intelligent airflow precision control human-like breathing platform. Background Art

[0002] By simulating the human body's breathing pattern, humanoid breathing equipment can provide a reliable experimental platform for the research and development of related equipment and technologies, and provide accurate testing methods for the performance evaluation of respiratory protective equipment.

[0003] Even though the existing breathing simulation platforms have the basic ability to simulate breathing patterns, they still face the following technical bottlenecks: (1) According to the actual pattern of physiological breathing, inhalation is usually shorter than exhalation, while traditional breathing simulation equipment often uses symmetrical inhalation and exhalation durations, which makes it difficult to accurately simulate the real breathing pattern of the human body; (2) When testing respiratory protective equipment, in addition to accurately simulating the human breathing pattern, it is also necessary to provide a constant and adjustable air flow rate. The existing platforms are difficult to ensure the stability of the air flow rate and cannot meet the testing requirements at the same time; (3) Some existing human-like breathing platforms do not fully consider the needs of long-term stable operation of the equipment. The equipment lacks effective protection and filtration mechanisms, and is prone to equipment failure, affecting the reliability and durability of the platform system. Summary of the invention

[0004] Purpose of the invention: The technical problem to be solved by the present invention is to provide an intelligent airflow precise control human-like breathing platform in view of the deficiencies of the prior art, including a shell, a support frame, a continuous air extraction component, a human-like breathing component, an air filter element, a controller and a control panel;

[0005] The front wall of the housing is provided with a transparent observation window for convenient observation of the working status of the air filter element; the side outer wall of the housing is provided with an air guide interface, through which the housing is connected to external equipment to meet different experimental requirements; the control panel is arranged on the housing;

[0006] The support frame is connected and fixed to the lower side of the shell, and can maintain stability when bearing loads. The material is one or more of aluminum alloy, stainless steel, titanium alloy, and carbon fiber composite material;

[0007] The shell is used to accommodate a continuous air extraction component, a human-like breathing component, an air filter element and a controller, and the internal space is divided into a front chamber and a rear chamber by a partition.

[0008] The continuous air extraction component includes an air extraction pump, an oil-water separator and a gas flow controller;

[0009] The vacuum pump is connected to the oil-water separator through a first conduit, the oil-water separator is connected to the gas flow controller through a second conduit, an air filter is provided on the third conduit between the gas flow controller and the gas guide interface; the gas flow controller is connected to the controller.

[0010] The gas flow controller is connected to the controller through wires; the gas flow controller monitors the gas flow through the conduit in real time and transmits an electrical signal proportional to the gas flow to the controller; the controller transmits the control signal to the gas flow controller through wires according to a PID control algorithm;

[0011] The gas flow sensor has a measuring range of 0 to 500 L / min, an accuracy of 0.1 to 1% FS, and a response time of 10 to 1000 ms.

[0012] The humanoid breathing assembly includes a permanent magnet synchronous motor, a cylinder, a slide, an AC servo controller and a respiratory flow sensor;

[0013] The permanent magnet synchronous motor is used to drive the reciprocating motion of the cylinder;

[0014] The slide is connected to the piston rod of the cylinder via a connecting piece;

[0015] The AC servo controller is connected to the permanent magnet synchronous motor and the controller respectively;

[0016] The cylinder has an air outlet at each of the front and rear ends, wherein the air outlet at one end is connected to the respiratory flow sensor in the rear chamber through a fourth conduit, and the air outlet at the other end and the respiratory flow sensor are connected to the air guide interface through a fifth conduit and a sixth conduit respectively, and the fifth conduit and the sixth conduit are both provided with air filters;

[0017] The respiratory flow sensor is connected with the controller.

[0018] The respiratory flow sensor is of bidirectional specification, with a measuring range of 0 to 300 L / min, an accuracy of 0.1 to 1% FS, and a response time of 10 to 1000 ms.

[0019] The gas flow sensor monitors the gas flow through the conduit in real time and transmits the electrical signal to the controller. The controller adjusts the opening of the flow control valve according to the proportional-integral-differential PID control and neural network optimized airflow control algorithm to achieve constant airflow control.

[0020] The respiratory flow sensor monitors the gas flow through the catheter in real time and transmits it to the controller via an electrical signal. The controller adjusts the driving parameters of the permanent magnet synchronous motor according to the proportional-integral-differential PID control and neural network optimized airflow control algorithm to achieve the regulation of the movement rate, reciprocating frequency and reciprocating time of the cylinder.

[0021] The air filter element is used to prevent particulate matter, moisture, toxic and harmful gases from entering the system, and is composed of multiple layers of filter materials, including a moisture absorption layer, an air filter layer and a gas adsorption layer;

[0022] The moisture absorption layer is made of one or more of calcium chloride, calcium oxide, highly absorbent polymer, aluminosilicate, silica gel, aluminum gel, zeolite, and activated alumina, and the water absorption capacity is ≥23%;

[0023] The air filter layer adopts one or more of the following materials: primary filter material, medium filter material, high efficiency filter material, and ultra high efficiency filter material. 0.3 The filtration efficiency is ≥99%; for PM 2.5 The filtration efficiency is ≥99%;

[0024] The gas adsorption layer adopts one or more of activated carbon, carbon molecular sieve, potassium permanganate, activated alumina, covalent organic framework, metal organic framework and aluminosilicate, and the gaseous chemical pollutant removal efficiency is ≥95%.

[0025] The proportional-integral-derivative PID control and neural network optimized airflow control algorithm achieves precise control of airflow through the following steps:

[0026] Step 1, collecting data: the flow sensors in the human-like breathing component and the continuous air extraction component continuously monitor the state of the airflow (such as respiratory flow, airflow velocity, flow change, etc.), and transmit the state of the airflow to the controller;

[0027] Step 2, PID control adjustment: The PID control algorithm performs basic adjustment according to the collected real-time data to generate a preliminary control signal, which is used to control the basic dynamic response of the airflow;

[0028] Step 3, neural network adaptive enhancement optimization: The neural network algorithm learns historical data and real-time feedback error signals, and adjusts the gain parameters (proportional, integral, and differential coefficients) of the PID algorithm in real time;

[0029] Step 4, closed-loop feedback and iterative adjustment: The proportional-integral-differential PID control and neural network optimized airflow control algorithm adopts a closed-loop feedback mechanism. The PID control algorithm and the neural network algorithm cooperate with each other to iteratively adjust the gain parameters during each feedback process. As the human-like breathing platform runs, the neural network algorithm will self-optimize according to the newly obtained feedback data, thereby improving the airflow control accuracy and system stability.

[0030] The control panel is connected to the controller and is used to set and monitor breathing parameters;

[0031] The respiratory parameters include constant air flow, respiratory flow, respiratory frequency, and the ratio of exhalation to inspiration time;

[0032] The adjustment range of the constant air flow is 0 to 300 L / min, the respiratory flow includes the maximum inspiratory flow and the maximum expiratory flow, the maximum inspiratory flow adjustment range is 0 to 200 L / min, the maximum expiratory flow adjustment range is 0 to 200 L / min, the respiratory frequency adjustment range is 12 to 60 times / minute, and the exhalation to inhalation time ratio adjustment range is 1:1 to 1:5.

[0033] Compared with the prior art, the present invention has the following beneficial effects: (1) The controller of the present invention adopts proportional-integral-differential (PID) control and neural network optimized airflow control algorithm to accurately control the reciprocating motion of the cylinder, thereby realizing flexible adjustment and fine control of the maximum inspiratory flow, maximum expiratory flow, respiratory frequency and respiratory ratio, thereby more accurately simulating the real physiological breathing pattern of the human body.

[0034] (2) The present invention not only supports the sinusoidal breathing mode, but also can simulate continuous airflow. The controller ensures the stability and constant output of the airflow by adjusting the valve opening of the gas flow controller, thereby expanding the application range of the device;

[0035] (3) The air guide interface of the present invention is equipped with a high-efficiency air filter element composed of a moisture absorption layer, an air filtration layer, and a gas adsorption layer, which can effectively remove moisture, particulate matter and harmful gases in the air, avoid pollution damage to the equipment, thereby extending the service life of the equipment and improving the reliability of operation.

[0036] (4) The housing of the present invention is equipped with an easy-to-operate control panel connected to the controller, so that the user can flexibly set the breathing parameters according to the experimental requirements, making the operation more efficient and convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments, and the above and / or other advantages of the present invention will become more clear.

[0038] Figure 1 It is a front view structural schematic diagram of the humanoid breathing simulation test platform disclosed in the present invention.

[0039] Figure 2 It is a front cross-sectional structural schematic diagram of the humanoid breathing simulation test platform disclosed in the present invention.

[0040] Figure 3 It is a schematic diagram of the rear cross-sectional structure of the humanoid breathing simulation test platform disclosed in the present invention.

[0041] The meaning of the numbers in the figure are as follows: 1-shell; 2-support frame; 3-vacuum pump; 4-oil-water separator; 5-gas flow controller; 6-permanent magnet synchronous motor; 7-cylinder; 8-slide; 9-AC servo controller; 10-respiratory flow sensor; 11-air filter; 12-controller; 13-operation panel; 14-partition; 15-transparent observation window; 16-air guide interface; 17-box; 18-cooling fan; 19-cooling window; 20-limit switch. DETAILED DESCRIPTION

[0042] like Figure 1 , Figure 2 and Figure 3 As shown, an embodiment of the present invention provides an intelligent airflow precision control humanoid breathing platform, including a shell 1, a support frame 2, a continuous air extraction component (including an air extraction pump 3, an oil-water separator 4, and a gas flow controller 5), a humanoid breathing component (including a permanent magnet synchronous motor 6, a cylinder 7, a slide 8, an AC servo controller 9, and a respiratory flow sensor 10), an air filter element 11, a controller 12 and a control panel 13.

[0043] The shell 1 is used to accommodate all components, and the internal space is divided into a front chamber and a rear chamber by a partition 14. A transparent observation window 15 made of acrylic material is installed on the front wall of the shell 1, which is convenient for observing the working status of the internal air filter 11. The side outer wall of the shell 1 is provided with a plurality of air guide interfaces 16 for connecting with external equipment to meet different experimental requirements. A box 17 is fixedly installed at the bottom of the shell 1 for accommodating the vacuum pump 3, and is equipped with a heat dissipation system (heat dissipation fan 18 and heat dissipation window 19) to ensure the heat dissipation requirements of the equipment during long-term operation.

[0044] The support frame 2 includes an aluminum alloy support and a stainless steel Formosa wheel, which are connected and fixed to the lower side of the shell 1 to ensure that the equipment has a stable supporting force during operation.

[0045] The air pump 3 is connected to the oil-water separator 4 through the first conduit, and is responsible for extracting gas into the platform. The platform can provide a stable airflow supply to ensure the continuity and stability of the simulated breathing flow.

[0046] The oil-water separator 4 is used to separate the oil-water mixture discharged by the vacuum pump 3 to prevent moisture and oil and gas from entering the subsequent gas flow control system, and is connected to the gas flow controller 5 through the second conduit.

[0047] The gas flow controller 5 is connected to the controller 12 via an electrical signal to accurately control the adjustment of the gas flow. The gas flow controller 5 is connected to the gas guide interface 16 via a third conduit.

[0048] The gas flow controller 5 has a measuring range of 0 to 500 L / min, an accuracy of 0.1% FS, and a response time of 10 ms. The gas flow controller 5 monitors the gas flow through the conduit in real time and transmits an electrical signal proportional to the gas flow to the controller 12;

[0049] The controller 12 transmits the control signal to the gas flow controller 5 through the wire according to the proportional-integral-differential (PID) control and the airflow control algorithm optimized by the neural network, and can achieve the regulation of the constant airflow in the range of 0 to 300L / min. The permanent magnet synchronous motor 6 is used to drive the reciprocating motion of the cylinder 7 to simulate the inhalation and exhalation process of the human body. The permanent magnet synchronous motor 6 is connected to the slide 8 through a coupling, and the slide 8 is connected to the piston rod of the cylinder 7. The movement of the slide 8 ensures that the cylinder 7 can reciprocate within the specified range. Limit switches 20 are provided at both ends of the slide 8 to prevent over-travel movement.

[0050] The cylinder 7 is used to generate airflow, and the slide 8 is used to control the movement trajectory and speed of the cylinder 7. The front and rear ends of the cylinder 7 are each provided with an air outlet, the air outlet A is connected to the respiratory flow sensor 10 through the fourth conduit, and the air outlet B and the respiratory flow sensor 10 are respectively connected to the air guide interface 16 through the fifth conduit and the sixth conduit.

[0051] The respiratory flow sensor 10 is of bidirectional specification, with a measuring range of 0 to 300 L / min, an accuracy of 0.2% FS, and a response time of 10 ms.

[0052] The AC servo controller 9 is connected to the controller 12 via wires and is used to control the driving parameters of the permanent magnet synchronous motor 6 .

[0053] The controller 12 adjusts the output of the motor according to the PID algorithm, accurately controls the reciprocating motion of the cylinder 7, and can achieve parameter adjustment of the maximum inhalation flow rate to 0-200L / min, the maximum exhalation flow rate to 0-200L / min, the respiratory frequency to 12-60 times / minute, and the respiratory ratio to 1:1-1:5.

[0054] The air filter 11 is composed of multiple filter layers, including a moisture absorption layer, an air filter layer and a gas adsorption layer, which can effectively remove particulate matter and harmful gases in the system. The moisture absorption layer is made of calcium chloride, the air filter layer is made of HEPA filter material, and the gas adsorption layer is made of MOF material.

[0055] The water adsorption capacity of the air filter element 11 is 50% (T = 25 ° C, RH = 80%), 0.3 The filtration efficiency is 99.05%; for PM 2.5 The filtration efficiency is ≥99.96%, and the removal efficiency of gaseous chemical pollutants is 98%.

[0056] When the transparent observation window 15 observes that the air filter element 11 is obviously blackened or discolored, it indicates that the air filter element 11 may have reached its working limit, and the rear panel of the housing needs to be opened to replace the air filter element 11.

[0057] The control panel 13 is an integrated touch panel with a resolution of 1024*600.

[0058] The operation panel 13 is connected to the controller 12 via a data transmission interface, and the user can flexibly adjust the breathing parameters (constant air flow, maximum inspiratory flow, maximum expiratory flow, respiratory frequency, and respiratory ratio) through the operation panel and view the parameter values ​​in real time during the experiment.

[0059] The present invention provides an intelligent airflow precision control human-like breathing platform. There are many methods and ways to implement the technical solution. The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the protection scope of the present invention. All components not specified in this embodiment can be implemented by existing technologies.

Claims

1. An intelligent airflow precise control human-like breathing platform, characterized in that: It includes a shell, a support frame, a continuous air extraction component, a humanoid breathing component, an air filter element, a controller and a control panel; The front wall of the shell is provided with a transparent observation window, the side outer wall of the shell is provided with an air guide interface, and the shell is connected to an external device through the air guide interface; the control panel is arranged on the shell; The support frame is connected and fixed to the lower side of the shell, and the material is one or more of aluminum alloy, stainless steel, titanium alloy, and carbon fiber composite material; The shell is used to accommodate a continuous air extraction component, a human-like breathing component, an air filter element and a controller, and the internal space is divided into a front chamber and a rear chamber by a partition.

2. According to claim 1, the intelligent airflow precise control human-like breathing platform is characterized in that: The continuous air extraction component includes an air extraction pump, an oil-water separator and a gas flow controller; The vacuum pump is connected to the oil-water separator through a first conduit, the oil-water separator is connected to the gas flow controller through a second conduit, an air filter is provided on the third conduit between the gas flow controller and the gas guide interface; the gas flow controller is connected to the controller.

3. The intelligent airflow precise control humanoid breathing platform according to claim 2 is characterized in that: The gas flow sensor has a measuring range of 0 to 500 L / min, an accuracy of 0.1 to 1% FS, and a response time of 10 to 1000 ms.

4. The intelligent airflow precise control humanoid breathing platform according to claim 3 is characterized in that: The humanoid breathing component includes a permanent magnet synchronous motor, a cylinder, a slide, an AC servo controller and a respiratory flow sensor; The permanent magnet synchronous motor is used to drive the reciprocating motion of the cylinder; The slide is connected to the piston rod of the cylinder via a connecting piece; The AC servo controller is connected to the permanent magnet synchronous motor and the controller respectively; The air outlet at one end of the cylinder is connected to the respiratory flow sensor in the rear chamber through a fourth conduit, and the air outlet at the other end and the respiratory flow sensor are connected to the air guide interface through a fifth conduit and a sixth conduit respectively, and the fifth conduit and the sixth conduit are both provided with air filters; The respiratory flow sensor is connected with the controller.

5. The intelligent airflow precise control humanoid breathing platform according to claim 4, characterized in that: The respiratory flow sensor is of bidirectional specification, with a measuring range of 0 to 300 L / min, an accuracy of 0.1 to 1% FS, and a response time of 10 to 1000 ms.

6. The intelligent airflow precise control humanoid breathing platform according to claim 5, characterized in that: The gas flow sensor monitors the gas flow through the conduit in real time and transmits the electrical signal to the controller. The controller adjusts the opening of the flow control valve according to the proportional-integral-differential PID control and neural network optimized airflow control algorithm to achieve constant airflow control.

7. The intelligent airflow precise control humanoid breathing platform according to claim 6, characterized in that: The respiratory flow sensor monitors the gas flow through the catheter in real time and transmits it to the controller via an electrical signal. The controller adjusts the driving parameters of the permanent magnet synchronous motor according to the proportional-integral-differential PID control and neural network optimized airflow control algorithm to achieve the regulation of the movement rate, reciprocating frequency and reciprocating time of the cylinder.

8. The intelligent airflow precise control humanoid breathing platform according to claim 7, characterized in that: The air filter element comprises a moisture absorption layer, an air filtering layer and a gas adsorption layer; The moisture absorption layer is made of one or more of calcium chloride, calcium oxide, highly absorbent polymer, aluminosilicate, silica gel, aluminum gel, zeolite, and activated alumina, and the water absorption capacity is ≥23%; The air filter layer adopts one or more of the following materials: primary filter material, medium filter material, high efficiency filter material, and ultra high efficiency filter material. 0.3 The filtration efficiency is ≥99%; for PM 2.5 The filtration efficiency is ≥99%; The gas adsorption layer adopts one or more of activated carbon, carbon molecular sieve, potassium permanganate, activated alumina, covalent organic framework, metal organic framework and aluminosilicate, and the gaseous chemical pollutant removal efficiency is ≥95%.

9. The intelligent airflow precise control humanoid breathing platform according to claim 8, characterized in that: The proportional-integral-derivative PID control and neural network optimized airflow control algorithm achieves precise control of airflow through the following steps: Step 1, collecting data: the flow sensors in the human-like breathing component and the continuous air extraction component continuously monitor the state of the airflow and transmit the state of the airflow to the controller; Step 2, PID control adjustment: The PID control algorithm performs basic adjustment according to the collected real-time data to generate a preliminary control signal, which is used to control the basic dynamic response of the airflow; Step 3, neural network adaptive enhancement optimization: The neural network algorithm learns historical data and real-time feedback error signals, and adjusts the gain parameters of the PID algorithm in real time; Step 4, closed-loop feedback and iterative adjustment: The proportional-integral-differential PID control and neural network optimized airflow control algorithm adopts a closed-loop feedback mechanism. The PID control algorithm and the neural network algorithm cooperate with each other to iteratively adjust the gain parameters during each feedback process. As the human-like breathing platform runs, the neural network algorithm will self-optimize according to the newly obtained feedback data.

10. The intelligent airflow precise control humanoid breathing platform according to claim 9, characterized in that: The control panel is connected to the controller and is used to set and monitor breathing parameters; The respiratory parameters include constant air flow, respiratory flow, respiratory frequency, and the ratio of exhalation to inspiration time; The adjustment range of the constant air flow is 0 to 300 L / min, the respiratory flow includes the maximum inspiratory flow and the maximum expiratory flow, the maximum inspiratory flow adjustment range is 0 to 200 L / min, the maximum expiratory flow adjustment range is 0 to 200 L / min, the respiratory frequency adjustment range is 12 to 60 times / minute, and the exhalation to inhalation time ratio adjustment range is 1:1 to 1:5.

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