53 results about "Breathing process" patented technology

The invention provides a lung function compensation mechanism dynamic quantitative analysis method combining partition impedance measurement and a machine learning algorithm, and the method comprises the steps: obtaining a corresponding relation between a ventilation dynamic sequence and a blood flow characteristic value, and enabling the ventilation dynamic sequence and the blood flow characteristic value to be aligned in a time dimension through a multi-dimensional data fusion technology, constructing a joint feature matrix reflecting the breathing process change and the blood flow state to obtain a time-space synchronization feature set; expanding the three-dimensional dynamic model according to a time axis by adopting a data visualization technology through a compensation state quantification result, extracting a key frame from linkage change of a ventilation state value and a blood flow characteristic value, and generating a dynamic representation sequence reflecting a lung function compensation process; and obtaining a dynamic representation sequence, carrying out grouping analysis on individual differences in the sequence by utilizing a clustering algorithm, extracting a characteristic mode related to disease dynamics from a grouping result, and obtaining final lung function compensation quantitative representation data.

The invention discloses a breath anomaly detection method and system based on gas monitoring, and relates to the technical field of breath anomaly detection.The breath anomaly detection method comprises the steps that mouth and nose gas signals in the breath process of a user are collected and preprocessed, and gas component separation is conducted through a microfluidic gas separation module; and performing differential analysis on separated gas components, calculating fluctuation of nasal cavity and oral cavity gas components, performing breathing mode recognition through 1D SNN, and establishing a personalized breathing mode library in combination with long-term health data of a user. Compared with the prior art, the method has the advantages that more accurate breathing mode recognition and anomaly detection are realized by combining differential analysis of multi-dimensional gas components and a deep learning model with a personalized breathing mode library, so that a more intelligent health management scheme is provided, and particularly, the method has remarkable advantages in coping with complex personalized differences and long-term health trends.

The embodiment of the invention provides a respiration monitoring analysis method and system based on multiple sensors, and the method comprises the steps: firstly building a respiration signal linkage relation among a plurality of sensors, such as a chest motion sensor, an abdomen motion sensor, an airflow sensor and an environment gas sensor; generating a sensor linkage relation table according to respiration phase correlation of output signals of the sensors, synchronously collecting respiration related signals of the sensors based on the sensor linkage relation table, arranging and generating a respiration analysis sequence according to a signal correlation sequence, and dynamically adapting to a preset respiration analysis model according to characteristic dimensions of the respiration analysis sequence. Adjusting model parameters to obtain an adapted target breathing analysis model, inputting a breathing analysis sequence into the target model, processing multi-sensor signal association information through a linkage feature analysis module, extracting abnormal association features in a breathing process, and finally integrating abnormal performance and association relationships of the sensor signals according to the abnormal association features to obtain a breathing analysis result. And generating a breathing state evaluation result.

The invention relates to the technical field of respiratory training, in particular to a respiratory rehabilitation training guide system which comprises a rhythm regulation and control module, a dynamic guide module, a structure adaptation module, a steady-state balance module and an execution path regulation and control module. According to the method, the airflow deviation value and the target rhythm deviation are extracted in real time, the airflow rate change trend and the response time characteristic can be accurately recognized, and therefore dynamic fluctuation in the breathing process is effectively controlled, a personalized guide scheme is provided, airflow distribution and the cavity movement law are optimized, continuous and stable training is ensured, and the training efficiency is improved. The airflow distribution and the cavity matching sequence are dynamically adjusted, steady-state gaps caused by airflow fluctuation are effectively filled, each link can achieve an ideal effect, the dependence of a traditional system on fixed frequency and proportion setting is exceeded, training is more flexible, accurate and efficient, especially when a patient is in a fatigue state, training guidance can be adjusted according to real-time feedback, and the training efficiency is improved. The rehabilitation effect is maximized, and the long-term stability is ensured.

The present disclosure relates to a calm expiration phase, forced vital capacity determination and diagnosis method, system and dynamic X-ray machine, and relates to the technical field of calm expiration phase, forced vital capacity determination and diagnosis. The calm expiration phase determination method comprises: performing lung field segmentation on dynamic multiple X-ray two-dimensional chest images in the breathing process to obtain corresponding multiple X-ray two-dimensional lung field mask images; and determining the calm expiration phase in the breathing process according to multiple lung field mask areas of the multiple X-ray two-dimensional lung field mask images and lung field mask area change rates corresponding to the multiple lung field mask areas. The present disclosure can realize calm expiration phase, forced vital capacity determination and diagnosis.

The invention relates to the technical field of medical instruments, and discloses a respiratory efficiency feedback-based chronic obstructive pulmonary disease home rehabilitation device which comprises a respiratory training rehabilitation device body, an extension tube is arranged at the front end of the respiratory training rehabilitation device body, and a respirator is fixedly connected to the end, away from the respiratory training rehabilitation device body, of the extension tube. A feedback assembly is arranged in the middle of the extension pipe, an adjusting assembly is arranged in the feedback assembly, a supplementing assembly is arranged on the side edge of the feedback assembly, the feedback assembly comprises a hollow box fixedly connected to the middle of the extension pipe, a center shaft movably penetrates through the upper portion of the hollow box, and air flow blades are distributed on the outer surface of the center shaft in an annular array mode. By arranging the feedback assembly and the middle of the extension tube, the feedback assembly can be driven to operate in the breathing process of a patient, the feedback effect is achieved through the moving track of the red tying cloth, the feedback situation changes along with the breathing rate of the patient, expiration and inspiration are fed back separately through the one-way bearing, and the feedback effect is more detailed.

The diving full face mask specifically comprises a frame body and a breathing tube arranged at the top of the frame body, a first soft mask body used for covering the face and a second soft mask body used for covering the mouth and nose area are arranged in the frame body, and a connecting cavity is formed in the first soft mask body; the connecting cavity comprises a long cavity body and a short cavity body; one end of the long cavity is communicated with the breathing tube, and the other end of the long cavity is communicated with the second soft cover; one end of the short cavity is communicated with the breathing tube, and the other end of the short cavity is communicated with the first soft cover. The diving full face mask effectively solves the problem that in the breathing process of an existing diving full face mask, the concentration of carbon dioxide is increased, and the carbon dioxide cannot be effectively and rapidly discharged, and safety and use experience are improved. Meanwhile, the diving full face mask has good sealing performance and universality, is not prone to water seepage and can be suitable for more face types.

The application relates to the technical field of heavy water production, and discloses a device for producing heavy water, which comprises multiple electrolytic cells, and multiple electrolytic cells are connected with each other through a transfer pipeline system; the transfer pipeline system comprises multiple pipeline bodies for connecting adjacent two electrolytic cells, one end of the pipeline body is communicated with the inside of one of the electrolytic cells through the bottom of the electrolytic cell, and the bottom of the electrolytic cell is provided with a perforated plate. In use, the multiple electrolytic cells are connected in series, in actual use, on one hand, the movement of the piston can realize the breathing process of the liquid in the electrolytic cell, that is, the process that the liquid is drawn into the pipeline body and then pushed into the electrolytic cell, and on the other hand, the perforated plate structure can promote the release of the bubbles in the heavy water, so that the electrolysis process is not disturbed.

The present invention discloses a method and system for predicting ventilator faults based on big data, specifically related to the technical field of fault prediction. It includes using the long short-term memory algorithm to predict the process of the ventilator dynamically adjusting the gas volume. Through the output results of the LSTM model, the prediction results at different time steps are obtained, the prediction results are analyzed, the possible abnormal situations are evaluated, early warning grading is carried out, and it is judged whether to detect the output pipeline during the operation of the ventilator. A fault assessment model is constructed to quantify the results of the possibility of the ventilator having a fault. According to the results of the fault assessment model, the fault assessment coefficient for the ventilator to dynamically match the patient's breathing process is obtained and compared with the threshold of the fault assessment coefficient to reconfirm the early warning level of the ventilator. The present invention helps to take preventive measures in the initial stage of the fault, prevent the harm caused by the accumulation of faults, and improve the reliability of ventilator fault identification.

Device (1) for measuring respiratory rate and respiratory depth, characterized in that it comprises two temperature-dependent resistors (4), an analog-to-digital converter (5) within a signal processing unit (3), wherein the temperature-dependent resistors are connected to the ADC of the signal processing unit and a minimal voltage supply (2).

The invention is suitable for the field of petrochemical engineering, and provides a gas station breathing process VOCs emission amount correction method based on the type of an oil gas recovery vacuum pump. Calculating the pressure increment caused by excessive oil gas recovery (the gas-liquid ratio is 1.1) and reverse air leakage of a vacuum pump in the oil tank in the secondary oil gas recovery process, and deducing a correction formula of VOCs emission factors; secondly, a discharge amount correction model is established by combining the use proportion and the leakage proportion of a gas station fixed-frequency pump, the installation proportion of a three-time oil gas recovery device and the annual gasoline sales volume; the accuracy of discharge amount calculation is verified by actually measuring the single discharge amount of VOCs at the P / V valve of the gas station and monitoring the opening and closing frequency of the P / V valve. According to the method, the problem that the influence of an existing method on reverse leakage of the fixed-frequency pump is ignored is solved, the precision of checking the VOCs emission amount of the gas station is remarkably improved, and a reliable basis is provided for precise pollution control and gas station VOCs emission supervision.

Monitoring module (6) for arrangement on a face mask, wherein the face mask is designed as a face half mask and has one or more paper layers and / or one or more fabric layers for covering a mouth and nose area of ​​a user and the monitoring module (6) is mechanically coupleable with the face mask and comprises the following: - an electronic circuit (61) for monitoring the use of the mouth and nose protection, - at least one first sensor element (681) arranged and configured on the face mask to provide a sensor signal suitable for detecting the breathing processes of a user, wherein the at least one first sensor element (681) - is designed and configured as a temperature sensor element to provide a sensor signal that is representative of the temperature of air located between a facial surface in the mouth and nose area of ​​the user and the mouth and nose protection, or - is designed and configured as a humidity sensor element to provide a sensor signal that is representative of the humidity of the air located between a facial surface in the mouth and nose area of ​​the user and the mouth and nose protection, or - is designed and configured as a pressure sensor element to provide a sensor signal that is representative of the air pressure of the air located between a facial surface in the mouth and nose area of ​​the user and the mouth and nose protection, or - is designed and configured as a carbon dioxide gas sensor element to provide a sensor signal representative of a carbon dioxide concentration in the air located between a facial surface in the mouth and nose area of ​​the user and the protective element of the mouth and nose protection, or - is designed and configured as a sound transducer sensor element to provide a sensor signal that is representative of a breath sound and / or exhalation sound of the user of the mouth and nose protection device or - is designed and configured as a thermal conductivity sensor element to provide a sensor signal representative of the thermal conductivity of the air located between a facial surface in the mouth and nose area of ​​the user and the protective element of the mouth and nose covering, and - a power supply unit (64) for at least the electronic circuit (61), wherein the power supply unit (64) comprises a solid-state accumulator without electrolytes.

The utility model relates to a respirator, in particular to an oxygen reaction tank of a chemical oxygen fire-fighting self-rescue respirator, which comprises an oxygen generating tank used for generating oxygen, an air bag used for storing oxygen and a cleaning tank used for processing exhaled air, and the output end of the cleaning tank is connected with a mixing tank used for mixing the processed air and oxygen. The mixing tank is connected to the output end of the oxygen generation tank, and the output end of the mixing tank is installed in the air bag. By adopting the mixing tank, the oxygen generating tank and the cleaning tank are used for discharging oxygen and treated exhaled gas respectively, the oxygen and the treated gas are fully mixed through the mixing tank, and the air bag is filled with the mixed oxygen and the treated gas for collection, so that the problem that in the prior art, the oxygen and the treated exhaled gas cannot be collected easily can be solved in the process. The problem that air cannot be uniformly mixed due to the fact that the air bag is directly filled with the air bag is solved, and therefore the comfort degree of a user in the breathing process can be guaranteed.

The invention discloses a robotic wounded personnel system for quantitative evaluation of bioaerosol respiration exposure, and belongs to the technical field of medical simulation models, and the robotic wounded personnel system comprises a human body shape subsystem; the bionic breathing subsystem is arranged in the simulated human body model; the simulated lung subsystem is arranged in the simulated human body model; the rear end of the air pipe simulation structure communicates with the cylinder through a first one-way valve; an aerosol analysis unit; one end of the exhaust pipeline is communicated with the cylinder through a second one-way valve, and the other end is communicated with the air pipe simulation structure through a filter; the bionic respiration subsystem is provided with detection points, and the aerosol analysis units are connected to the detection points respectively for sampling and analyzing particle size distribution and concentration of aerosol of each detection point. The system simulates a human body breathing process in a biological aerosol environment through the machine wounded simulation model, and can realize accurate quantitative evaluation of aerosol breathing exposure in combination with the aerosol analysis unit.

The invention discloses a crude oil floating roof storage tank emission reduction device and method, the device is used for emission reduction of VOCs, and the device at least comprises a storage tank inner wall coating which is an oleophobic and hydrophobic coating and is coated on the inner wall of a storage tank and the corresponding position where a floating disc moves up and down; the circulating pipe is arranged above the edge of the floating disc and is fixedly connected with the floating disc; flowing oleophylic and hydrophilic cleaning liquid is arranged in the circulating pipe; during large breath, in the process that the circulating pipe moves along with the floating disc, the cleaning liquid makes contact with the oleophobic and hydrophobic coating, and crude oil hanging on the wall is removed. And the circulating pipe can also be communicated with an exhaust port of a breather valve at the top of the tank and is used for absorbing VOCs gas discharged by the small breath through oleophylic and hydrophilic cleaning liquid in the small breath process. By arranging the circulating pipe capable of moving along with the floating disc and the oleophobic and hydrophobic coating at the corresponding position of the inner wall of the storage tank, crude oil hanging on the wall can be effectively removed in the large respiration process, and meanwhile abrasion of the inner wall of the storage tank can be effectively reduced. The exhaust port of the breather valve at the top of the tank is connected with the circulating pipe, so that the problem of exhaust emission in the small breathing process can be solved.

The Wearable air purifier sought to be patented here is a new type of PPE among products such as Facial masks and Facial hoods. It achieves the objective of breathing in pure air in the least physically invasive manner while Facial masks and Facial hoods are extremely physically invasive. The discomfort of a fabric pressing against parts of human face and the difficulty imposed on the breathing process is avoided by wearing a Wearable air purifier. Along with the movable transparent visor, the Wearable air purifier is a clean air supply device in a design and form profile that all are familiar with, the baseball cap.

The present invention discloses a test device for CO2 rebreathing of a sleep apnea treatment mask, which relates to the technical field of medical device detection. The structure of the present invention includes an equipment cabinet, a human head model, a gas delivery device, two driving devices, and a carbon dioxide gas source; the human head model is installed at the upper end of the equipment cabinet; the gas delivery device and the two driving devices are installed inside the equipment cabinet, and the two driving devices drive the gas delivery device to simulate the normal breathing process; the gas delivery device is communicated with the mouth and nose of the human head model; the carbon dioxide gas source transports carbon dioxide through a carbon dioxide pipeline and a CO2 air pump. The present invention can not only comprehensively and accurately evaluate the performance of the treatment mask, but also has the advantages of simple operation, safety and reliability, etc.; it helps manufacturers design safer and more effective masks, and at the same time enables clinicians to better monitor and adjust treatment plans, ultimately improving the treatment effect and quality of life of patients.

The utility model discloses a forehead unsheltered breathing mask which comprises a mask body, a left fixing frame and a right fixing frame, the bending position of the left fixing frame is arranged on one side of a supporting frame on the mask body, a left connecting buckle is arranged on the left fixing frame, the left fixing frame is detachably connected with the mask body, and a right connecting buckle is arranged on the right fixing frame. The bent position of the right fixing frame is arranged on the other side of the supporting frame on the mask body, a right connecting buckle is arranged on the right fixing frame, and the right fixing frame is detachably connected with the mask body. After the mask body covers the mouth and the nose, the left fixing frame is located on the left side of the head, the right fixing frame is located on the right side of the head, in the breathing process, the forehead and the nose of a patient are not shielded by the fixing frames, and the discomfort caused by shielding is avoided; when the mask is used, only damaged parts need to be detached and replaced independently, in the transportation process and when the mask is not used, the left fixing frame and the right fixing frame can be detached from the mask body, and transportation and storage are convenient.

The invention relates to a respirator gas analysis sampling pipeline flow field simulation evaluation method and system. The method comprises the following steps: pre-processing a geometric model of an oxygen concentration detection host; performing internal flow field extraction on the geometric model of the oxygen concentration detection host, and establishing an internal flow field sampling pipeline model; carrying out grid division; setting working conditions; selecting a physical model; setting gas physical property parameters; setting boundary conditions and simulated working conditions; carrying out solution setting and initialization; taking a cross section formed in the vertical middle position of the grid model as a monitoring surface, and taking a position, corresponding to the gas sensor, on the monitoring surface as a monitoring point; setting iterative calculation; simulating a breathing process in a preset time under the most quiet working condition and the most severe working condition, performing sampling pipeline internal flow field transient simulation on the grid model, solving the selected physical model by adopting a coupling algorithm, and sampling a monitoring surface and a monitoring point under the two working conditions in the solving process; and acquiring and displaying a simulation result, and analyzing the simulation result to evaluate the advantages and disadvantages of the designed oxygen concentration detection host.

The invention relates to the technical field of ventilation equipment, in particular to a leakage calculation method and system of ventilation equipment, and the method comprises the following steps: when a patient inhales autonomously, determining the flow output of the ventilation equipment by adopting a gradient filtering method, thereby judging whether the flow velocity of the patient end has leakage abrupt change or not; if leakage exists, the next step is carried out; a classical leakage model is adopted, the value of the leakage amount is updated in combination with the motion equation of the patient and the breathing machine, and therefore real-time monitoring and updating of the leakage amount of the breathing equipment are achieved in the whole breathing process. According to the peak flow monitoring and gradient filtering combined method provided by the invention, the abnormal leakage of the inspiratory phase can be quickly monitored, and the leakage rate and leakage parameters of the breathing machine are updated in real time after the flow rate and the pressure signal are stable, so that the leakage rate can be quickly updated in the ventilation process.

The present disclosure discloses a composite film, which comprises: a polymer skeleton layer; and alginate-polyacrylamide gel layers arranged on both sides of the polymer skeleton layer. The composite film of the present disclosure has a three-layer structure of an elastic film, is based on a novel ultra-thin film material of the composite film, is superior to the hydrophilicity of the prior polydimethylsiloxane polymer material, and can realize three-dimensional deformation, truly simulate the inflation and contraction of alveoli in the breathing process, and improve the information exchange and gas exchange efficiency at the barrier structure of the existing organ chip.

The present application discloses a remote data acquisition system and method for early screening of ankylosing spondylitis. The system includes: a basic information acquisition unit, a posture information acquisition unit, a thoracic expansion information acquisition unit, and an information extraction unit. The basic information acquisition unit is used to receive the symptom description information of the user; the posture information acquisition unit is used to acquire the continuous posture information of the user; the thoracic expansion information acquisition unit is used to acquire the thoracic expansion information of the user during the breathing process; the information extraction unit is used to extract the corresponding symptom description data, posture data, and thoracic expansion data of the user based on the symptom description information, the posture information, and the thoracic expansion information respectively, and can accurately obtain the user's state information in multiple dimensions, providing accurate data support for early screening by doctors.

The present invention discloses a breathing monitoring simulation analysis system and method based on virtual reality. The present invention obtains gas data and breathing movement abnormality analysis results during the breathing process of a patient, imports them into a breathing movement abnormality evaluation strategy for breathing movement abnormality evaluation, obtains the physiological parameter data of the patient, imports the physiological parameter data of the patient into a breathing effect abnormality analysis strategy for breathing effect abnormality analysis, imports the obtained breathing movement abnormality evaluation result and breathing effect abnormality analysis result into a breathing abnormality judgment strategy for breathing abnormality judgment, issues a breathing monitoring warning level according to the obtained breathing abnormality judgment result, and displays it on a virtual reality model to remind medical staff. The comprehensive physical sign data of the patient during the breathing process is collected, and the breathing movement and physiological parameter abnormalities of the patient are analyzed based on the physical signs of the patient during the breathing process, so as to comprehensively analyze and accurately monitor the abnormalities during the patient's breathing process.

The utility model discloses a mask with a folding breathable layer, and belongs to the technical field of masks. At least one folding part which does not extend transversely is arranged in the breathable area of the mask body, and the folding part is a folding breathable filter layer. In the using process, the area of the breathable area of the mask body can be increased by unfolding the folding part, so that the filtering effect is improved, more exhaled air can be contained and buffered, the air is effectively prevented from overflowing from the upper end of the nose and the jaw, and the filtering effect is further improved. The non-transversely-extending folding part can support the breathing cavity formed by the whole mask body in certain strength, the breathing cavity is prevented from contracting and expanding in the breathing process, and therefore the air leakage condition is avoided.

The application provides a portable self-adaptive intelligent monitoring oxygen generator, which comprises an oxygen production module, an oxygen storage and output module and an oxygen inhalation device connected in sequence, the oxygen production module comprises an air inlet treatment device, a compressor assembly and a molecular sieve oxygen production assembly connected in sequence, the oxygen storage and output module comprises an intelligent pressure regulating gas storage tank, a digital flow regulating assembly and an oxygen filtering and humidifying assembly connected in sequence, the oxygen filtering and humidifying assembly is provided with an oxygen outlet, the oxygen inhalation device is connected with the oxygen outlet, the oxygen generator further comprises a detection module and an intelligent control system, the detection module comprises an oxygen concentration and flow detection assembly and a CO2 detection assembly, the oxygen concentration and flow detection assembly is arranged between the digital flow regulating assembly and the oxygen filtering and humidifying assembly, the oxygen inhalation device is provided with a sampling port, the CO2 detection assembly is connected with the sampling port, and the intelligent control system can intelligently monitor and control the oxygen generator according to the change of CO2 content in the breathing process of a user.

The invention provides a shielded part point cloud dynamic completion method and system, and the method comprises the steps: collecting body surface point cloud data in a non-shielding state and an arm shielding state in a human body breathing process, and building a voxel model; preprocessing the voxel model, including farthest point sampling and global scaling, so as to improve a model training effect; dividing the point cloud data into four quadrant areas according to the geometric center of the point cloud data so as to simulate the arm shielding condition; dynamically complementing the point cloud of the arm occlusion area by using the trained network, inputting the point cloud data of the occlusion area, and outputting the complemented point cloud data by the network; and carrying out dimensionality reduction on the complemented continuous frame point cloud by utilizing principal component analysis (PCA), and extracting one-dimensional breathing motion characteristics to obtain predicted breathing characteristics. According to the method, the PF-Net network and the LSTM network are fused to capture the spatial features of different time points, and the spatial-temporal features are fused on the global level, so that accurate analysis and complementation of dynamic point cloud data are realized, the problem of misjudgment of respiratory frequency, amplitude and mode caused by data missing in neonatal respiratory monitoring is solved, and the accuracy of neonatal respiratory monitoring is improved. And the monitoring precision and the clinical application value are improved.

The invention relates to a dynamic X-ray image matching method and system and a dynamic X-ray camera, and relates to the technical field of dynamic X-ray image matching. The dynamic X-ray image matching method comprises the following steps: determining whether a plurality of dynamic X-ray two-dimensional chest images in the breathing process comprise a set target or not; if yes, a set target X-ray two-dimensional chest image corresponding to the set target is extracted from the multiple dynamic X-ray two-dimensional chest images in the breathing process; matching is carried out on the basis of a lung airflow and blood flow mixed image sequence corresponding to the set target X-ray two-dimensional chest image or a lung airflow and blood flow mixed image and a lung blood flow image sequence corresponding to multiple X-ray two-dimensional chest images at multiple moments in a breath-holding state; and obtaining lung ventilation corresponding to the set target X-ray two-dimensional chest image. According to the embodiment of the invention, dynamic X-ray image matching can be realized, and then lung ventilation is determined.

The invention relates to the technical field of calcium carbonate processing, and discloses a discharging device for heavy calcium carbonate processing, the discharging device comprises a discharging main body, a channel, a discharging assembly and an adjusting assembly are arranged in the discharging main body, the discharging assembly is further provided with an adjusting part, and the channel is provided with a feeding pipeline, a stacking pipeline and a discharging pipeline. Through the arrangement of the breathing air bag and the reciprocating assembly, when the top of the breathing air bag moves up and down, the breathing process can be simulated, when the top of the breathing air bag moves upwards, the discharging effect is achieved through the change of air pressure, and through the breathing effect, after powder is pushed out, air flow stops being sprayed out; at the moment, the situation that powder flies when airflow is sprayed out can be greatly weakened, the slight floating situation occurs, the breathing air bag enters the inspiration stage after air injection, the floating powder can be precipitated at the moment, the powder floating phenomenon is further reduced, and therefore powder pollution is greatly reduced.

The present application belongs to the technical field of equipment detection, and particularly relates to a dynamic protection detection device for mine self-rescuer and respirator, comprising: a casing, a humanoid model, a breathing simulation mechanism and a test module arranged in the casing, wherein: the humanoid model is used for simulating a user of the mine self-rescuer and respirator; the breathing simulation mechanism is used for simulating a breathing process of the user; the test module is used for detecting a protection performance of the mine self-rescuer and respirator in the simulated use process, and performing real-time display and storage on the detected protection performance parameters, and controlling a breathing frequency and a breathing volume of the user in the breathing process simulated by the breathing simulation mechanism. The present application improves the simulation effect of the breathing state of the user and the reliability and accuracy of the detection of the mine self-rescuer and respirator by adjusting the breathing frequency and the breathing volume in the simulated breathing process of the user through the breathing simulation mechanism.

The invention discloses a respiratory nursing training device for children asthma, which relates to the technical field of medical instruments and comprises an outer shell, an inspiration control mechanism, a respirator, a connecting pipe, an inner cavity, an expiration control mechanism, an expiration cavity, an expiration adjusting mechanism, a first transparent cover plate, an inspiration adjusting mechanism, a second transparent cover plate, an inspiration cavity and a filter. The respirator has the advantages of being reasonable and simple in structure, low in production cost and convenient to install, and the respirator is tightly connected with the connecting pipe and the inner cavity, so that the air tightness during use is guaranteed; the breathing process can be accurately controlled, during inspiration, the inspiration control mechanism ensures that a child can only inhale air from the inspiration cavity, the inspiration adjusting mechanism can adjust the inspiration resistance by rotating an adjusting head and utilizing cooperation of a screw and a movable block according to actual requirements, filtered fresh air can be supplemented after inspiration is completed, and the breathing effect of the child is improved. The through hole in the guide hole is beneficial to adjusting the airflow pressure of the air suction cavity, and meanwhile the counting switch can record the number of air suction actions.