1968 results about "Pressure data" patented technology

The invention relates to the technical field of non-electrical variable control or regulation systems, and discloses a temperature rising blanket temperature closed-loop control method and system based on human body position recognition feedback, and the method comprises the steps: calculating a form compactness coefficient representing a heat dissipation boundary based on pressure data, and calling a mapping function to convert the form compactness coefficient into an equivalent thermal impedance estimated value; introducing the estimated value and dynamically constraining the forward channel gain of the temperature closed-loop controller according to a negative correlation strategy; according to the method, a real-time mapping mechanism of the contact topological characteristics and the control gain is constructed, so that the problem of model mismatch caused by body position change of the controlled object is solved; when the high-impedance contact state is detected, energy input is automatically reduced, the local heat accumulation effect is restrained, and the convergence and safety of the thermodynamic control process under the variable boundary condition are ensured.

The embodiment of the invention provides a breathing machine inspiration detection method and device and a computer readable storage medium, and the method comprises the steps: collecting first pressure data and first flow data in a current breathing period, and calculating a target flow baseline according to the first pressure data, the first flow data and a preset fitting formula; calculating a virtual traffic baseline according to the target traffic baseline and the first traffic data; if it is judged that the inspiration triggering state is not reached or the virtual inspiration flow change rate in the inspiration triggering state is smaller than a preset flow change threshold value, second pressure data and second flow data of the next respiratory cycle are continuously collected, and the virtual inspiration flow change rate is calculated; and judging that inspiration is detected until the detected virtual inspiration flow change rate is greater than or equal to the preset flow change threshold value. According to the invention, the phenomena of inspiration detection delay, group delay and the like can be avoided, the difference between detected inspiration and actual inspiration is reduced, and the sensitivity of inspiration detection is improved.

The invention discloses a layered micro-channel liquid cooling method and system based on a magnetic suction interface, and relates to the technical field of micro-channel liquid cooling structures. The layered micro-channel liquid cooling method and system based on the magnetic suction interface comprises the following steps: S1, acquiring and preprocessing temperature characteristic data and fluid flow velocity pressure data, and constructing a standardized thermal load trend data set; s2, the cooling liquid supply state of each layer is evaluated, and the liquid supply rhythm of the corresponding layer is dynamically adjusted; s3, analyzing the cooling demand intensity of each layer, and driving the working frequency of the branch pump of the corresponding layer to change; and S4, evaluating the coordination state of each layer in the process from liquid supply to heat dissipation to liquid return, and dynamically adjusting the liquid cooling control strategy. The problems that in a multi-layer server structure, an existing liquid cooling distribution path cannot achieve dynamic flow adjustment according to the thermal load difference of each layer of equipment, so that cooling resource distribution is uneven, and energy consumption waste is serious are solved.

The invention relates to the technical field of fluid control, and discloses a split type mass flow controller calibration method, system and equipment. According to the method, a control unit, a valve unit, a detection unit and a fluid passage unit are connected through detachable interfaces through a split type modular design, and the problem that a traditional integrated structure is difficult to calibrate and maintain is solved. A flow mapping relation model is established by adopting temperature difference and pressure data, and dynamic correction is performed in combination with an environment temperature compensation coefficient, so that the detection precision is remarkably improved. Through cooperative control of a flow closed loop and a valve element displacement closed loop, precise adjustment of the opening degree of the valve is achieved, and the stability and the dynamic response performance of flow control are effectively improved. The system has the advantages of being flexible in structure, high in calibration precision and high in environmental adaptability, and is suitable for the high-precision flow control field of semiconductors, biological medicine and the like.

The invention provides a method for preferably selecting a shale gas structure storage favorable area not based on formation pressure. The method comprises the steps that a target research area is selected, and a core exploration target layer series is determined; on the basis of a target stratum shale gas preservation mechanism, core parameters independent of stratum pressure data are screened, and a comprehensive evaluation index system containing target stratum self-sealing performance, regional cover stratum conditions and structural transformation action parameters is constructed; spatial distribution analysis is carried out on each parameter, grading is carried out according to geological laws and adjacent region experience, and weight coefficients are distributed according to the influence degree of the parameters on storage conditions; obtaining a comprehensive score of the structure storage condition of each evaluation unit through grade assignment and weighted stacking calculation; and delineating a shale gas structure storage favorable area according to the comprehensive score. The method is suitable for low-exploration-degree areas with complex structures, sparse drilling wells or lack of formation pressure data, and has the advantages of objective evaluation, high operability and high practical value.

The invention relates to the field of petroleum well repair engineering, and particularly discloses a secondary well control automation system for conventional minor repair operation of an oil and gas field, which comprises the following steps of: firstly, performing time domain synchronization and Kalman filtering smoothing on multi-source sensor data, and constructing a high-precision synchronization data set; on the basis, the theoretical reference pressure value containing the excitation or swabbing effect is calculated in real time by utilizing the extracted tubular column instantaneous speed and operation modal characteristics and combining a fluid dynamic model. The core lies in that differential calculation is carried out on the theoretical value and actually measured pressure data, and pressure residual decoupling is achieved. The process can dynamically counteract normal physical fluctuation caused by tubular column tripping operation, and the reserved residual sequence is the pure stratum anomaly feature after interference stripping. And finally, a hierarchical control instruction is generated based on the residual sequence, so that the operation efficiency is guaranteed, and meanwhile, the real-time and accurate capture and automatic hierarchical disposal of the secondary well control risk are realized.

The invention relates to the technical field of equipment compensation control, and discloses a medical suction device with an altitude compensation function and a control method thereof. The method comprises the following steps: reading ambient air pressure data of a first pressure sensor, reading molecular sieve tank differential pressure data of a second pressure sensor, collecting pressure data of an output end of a third pressure sensor, and determining a real-time altitude according to the ambient air pressure data; a breathing pressure fluctuation value is calculated based on the molecular sieve tank differential pressure data, when the breathing pressure fluctuation value is lower than a preset negative pressure threshold value, the current breathing frequency is recorded, and nitrogen removal time, pressure equalizing time and flushing time are determined to control an electromagnetic valve to work; and when the oxygen concentration is lower than a first concentration threshold value and the real-time altitude height is lower than a preset height, increasing the nitrogen removal time by a first preset proportion and increasing the target rotating speed by a second preset proportion, and when the oxygen concentration is lower than a second concentration threshold value, stopping the operation of the compressor and closing all the electromagnetic valves. According to the invention, the false alarm rate is effectively reduced, and the equipment safety is improved.

The invention relates to the technical field of water supply network operation and maintenance detection, in particular to a water supply network multi-pipeline leakage detection and positioning method, which comprises the following steps of: acquiring pressure time sequence data of a monitoring point of a water supply network, processing to generate a standardized pressure fluctuation sequence, and analyzing the data by utilizing a pre-trained leakage reasoning calculation model; leakage suspected degree scores and leakage type classifications are obtained, high-suspected-degree leakage events are screened, and corresponding positions and timestamps are obtained. A transient flow state inversion equation set is built in combination with a pipe network topological structure and a hydraulic model, a standardized pressure sequence is used as a boundary condition, pipe section hydraulic state changes are reversely deduced through a state inversion algorithm, pressure gradient abrupt change points are recognized, corresponding pipe sections are positioned, and leakage types and positioning information are fused to generate a complete detection positioning report. According to the method, leakage types can be accurately distinguished, multi-pipeline concurrent leakage pipe sections can be accurately positioned, non-leakage signal interference is reduced, and the method is adaptive to a complex pipe network leakage detection scene.

The invention relates to the field of hydraulic system monitoring, in particular to a leakage monitoring method and system for a hydraulic system, and the method comprises the steps: obtaining the pressure data of a valve element of a hydraulic servo system in a zero position state; constructing a local analysis window by taking each pressure data point as a center, and performing local mean decomposition processing on the pressure data to obtain a residual component, the local mean decomposition processing including using an adaptive sliding step length for the data points; calculating an average descent rate of the residual component; and generating an alarm signal in response to the fact that the average descent rate is greater than a set threshold. According to the invention, the sensitivity and the accuracy of the zero-position tiny internal leakage detection of the hydraulic valve core are improved, and false alarm and missing alarm are effectively avoided.

The invention discloses a dynamic prediction method for a deformation joint of an underground comprehensive pipe gallery. The method comprises the following steps: S1, collecting and fusing multi-source monitoring data; s2, data preprocessing and feature engineering; s3, constructing a dynamic prediction model; s4, dynamic prediction and performance evaluation; s5, early warning and decision support are carried out, in the step S1, temperature field data including the air temperature in the pipe gallery, the concrete temperature (inner and outer surfaces) of the pipe gallery structure and the soil temperature outside the pipe gallery are acquired, and the measuring range ranges from-40 DEG C to 80 DEG C; according to the method, a multi-source monitoring data acquisition and dynamic prediction model system is established, continuous monitoring and trend prediction of the deformation joint of the underground comprehensive pipe gallery are achieved, multi-dimensional data such as the temperature field, the soil pressure and the underground water level are integrated, time sequence analysis is combined, and the deformation joint of the underground comprehensive pipe gallery is obtained. The development rule of the deformation joint can be accurately captured, and a prospective evaluation basis is provided for the safety of a pipe gallery structure.

The invention relates to the technical field of automatic control of drilling parameters, in particular to a coal bed gas underground drilling construction parameter optimization method and system.The method comprises the following steps that sound wave response signals are obtained, propagation characteristics are calculated, bit pressure data are aligned, abnormal fluctuation is recognized, pumping pressure information is extracted, and the change trend is analyzed; and comparing the consistency of the regulation and control points and organizing regulation and control actions to finally form a coal-bed gas well drilling parameter optimization control flow. According to the method, accurate calibration of an abnormal state is achieved by constructing a sound wave propagation delay sequence and synchronizing bit pressure response, key regulation and control fragments are recognized in combination with a pumping pressure change trend, a time sequence coupling relation between bit pressure and pumping pressure is established, regulation and control action combinations meeting response consistency are extracted, and sequential organization is conducted; a control instruction set with continuity and pertinence is formed, collaborative recognition and linkage regulation and control of multi-parameter change trends are achieved, and stability and response coordination in the construction process are improved.

The invention discloses a method and equipment for offline storage of real-time sensing data based on a Flash ROM (Read Only Memory) in a single chip microcomputer, which are applied to the technical field of data processing.The method comprises the following steps: firstly, receiving carbon dioxide concentration, temperature, humidity and air pressure data by aiming at standardized processing, storage, indexing, time alignment and transmission of multi-parameter sensor data; generating a standard data packet according to the specification of 4-32 bytes, and combining a real-time timestamp with data interval information; on the basis of Flash ROM characteristics, data packets and auxiliary information are written in sequence by taking 64-512 bytes as a unit, and only a new sector is erased before being written in; extracting 12-24 bytes of core index information, circularly storing the core index information in an exclusive sector, and uniformly erasing the core index information when the core index information is fully written; a data address is positioned through an index, time recovery after interruption is achieved through timestamp nonvolatile storage, and data and time are accurately aligned; and finally, uploading the data to a mobile phone APP through Bluetooth, receiving an APP time synchronization RTC module, and completing whole-process data management and interaction.

The invention provides an intelligent water affair data management method and system, and the method comprises the steps: determining adjacent leakage points through a distribution density change direction, recognizing a pressure gradient between the adjacent leakage points, and determining a single-point water yield correction proportion; checking the single-point water yield correction proportion and the instantaneous flow value in the leakage point related data set to obtain a flow deviation value, identifying the type of the leakage point according to the flow deviation value and the flow fluctuation characteristics, and adjusting a leakage contribution degree evaluation weight table according to the type of the leakage point; summarizing the total leakage water quantity from the classified real leakage water quantity components, analyzing a change rate in combination with historical total leakage water quantity data, evaluating whether the change rate reflects a total water quantity reduction phenomenon under the condition that the number of leakage points is increased or not, and obtaining a total leakage water quantity verification result; and according to a total leakage water quantity verification result, the partition pressure data and the distribution density change trend are integrated to generate a pipe network health assessment report, and the overall accuracy improvement degree is assessed through an accumulated value of a real leakage water quantity component in the report.

The invention particularly discloses a fractured rock mass grouting three-dimensional visualization test device and method, and relates to the technical field of rock mass engineering. The device comprises a test box body, a liquid inlet and outlet system, a monitoring system and a dynamic water environment simulation assembly, the test box body is made of a transparent acrylic material and is composed of an upper cover plate, a lower cover plate, a front cover plate, a rear cover plate, a baffle and two side cover plates, and a core experiment module is arranged in the test box body; the liquid inlet and outlet system is sequentially connected with the liquid holding device, the peristaltic pump, the valve, the Doppler flow velocity sensor and the test box body through rubber pipes; the monitoring system integrates an image collection unit and a data monitoring unit, an industrial-grade 3D camera and a binocular camera achieve visualization of the displacement process, and a fiber bragg grating pressure sensor synchronously collects fracture pressure data and transmits the fracture pressure data to a computer through a multifunctional data collection module. The device can be used for observing the displacement process of the slurry in the three-dimensional fracture in real time, synchronously monitoring key parameters, adapting to complex test working conditions and providing reliable support for grouting law research.

The invention provides a shale gas well inter-well pressure channeling identification method, system, device and medium, the shale gas well inter-well pressure channeling identification method comprises the following steps: carrying out well test analysis in a pump stop pressure drop stage after fracturing, and collecting data; the bottom hole pressure is calculated, and pressure data oscillation caused by the water hammer effect is eliminated; drawing a pressure difference and pressure difference derivative double logarithmic curve based on the bottom hole pressure data; establishing a shale gas well non-uniform fracture multi-zone coupling well test seepage model; the model parameters are adjusted, a pressure difference and pressure difference derivative double logarithmic curve is fitted, and when the model result is close to the drawn pressure difference and pressure difference derivative double logarithmic curve, the crack parameters of the model parameters are obtained through inversion; judging whether the crack parameter is too high or not; and determining the relationship between the child well group and the mother well group, analyzing the pressure difference and pressure difference derivative curve morphological characteristics of the fracture parameter high section, and judging whether pressure channeling occurs or not. The system can realize the method. According to the method, the inter-well pressure channeling identification efficiency in the well group synchronous fracturing period can be improved.

The invention relates to the field of steel rolling control, in particular to a cold continuous rolling high-pressure large-flow hydraulic energy-saving control method and system.The method comprises the steps that rolling system parameters and real-time data are collected and preprocessed, and basic data used for pressure regulation and control are obtained; carrying out model coupling analysis on the steel coil process parameters to obtain adaptive rolling pressure data; non-linear fusion evaluation is carried out on acceleration and thickness disturbance, and a self-adaptive dynamic safety margin is obtained; performing real-time synthesis on the adaptive rolling pressure data and the adaptive dynamic safety allowance to obtain dynamic target pressure setting data; and closed-loop energy-saving control is performed based on the dynamic target pressure setting data, so that the energy-saving effect of the hydraulic system is improved.

The invention relates to the field of sensor data processing, and discloses an MEMS drift correction method based on data dynamic sampling and multi-source fusion, and the method comprises the following steps: S1, collecting MEMS three-axis acceleration original data at a first sampling frequency, and synchronously collecting environment temperature, humidity and air pressure data at a second sampling frequency, the first sampling frequency is higher than the second sampling frequency, the basic drift correction model is established by using the low-frequency data to capture the macroscopic and slow-varying relationship between the environmental factors and the drift, then the residual refinement model is established for the high-frequency data, and the high-frequency residual is specially processed; high-frequency drift components related to the environmental change rate are captured, through the two-stage fusion strategy, the accuracy of the model in the macroscopic trend is guaranteed, high-frequency data are fully utilized to improve the instantaneous correction precision, information loss caused by simple downsampling in a traditional method is avoided, and false signals introduced by rough interpolation are also avoided.

The invention discloses an oxygen supply pressure dynamic adjusting method and system based on a medical cabin, and relates to the technical field of medical equipment and medical information.The method comprises the steps that the real-time oxygen supply pressure of the medical cabin and physiological data of a patient are collected; predicting pressure disturbance of an oxygen supply network through a graph neural network, and identifying a risk medical cabin; monitoring oxygen pressure mutation at an inlet of an oxygen supply pipeline, and identifying an interfered medical cabin; based on the real-time physiological data of the patient, generating a dynamic physiological baseline through parameter empirical Bayesian calibration; calculating a comprehensive deviation index of the physiological data and the baseline through sliding window integration, and determining a compensation control vector; generating a compensation instruction set by combining the abrupt change of oxygen pressure and the compensation control vector; the executed physiological parameters and oxygen supply pressure data are fed back to the medical health big data platform, and closed-loop adjustment is achieved. The problems that an existing medical cabin oxygen supply system is insufficient in accuracy, weak in anti-interference capacity, difficult in personalized adjustment and the like due to control lag, passive response and static reference setting are effectively solved.

The invention discloses a cooling system pressure regulation and control method and device based on multi-source data fusion, and the method comprises the steps: collecting multi-source data from a cooling system through a sensor, carrying out the fusion processing, and generating a standardized sensor data set. And calculating a comprehensive system pressure value by adopting a data fusion technology according to the standardized sensor data set to obtain a fused pressure data set. And determining a system pressure state through threshold comparison based on the fused pressure data set. And obtaining channel flow data based on the system pressure state, and adjusting the opening degree of a valve to obtain an optimized regulation and control result. And transmitting the optimized regulation and control result to a pressure maintaining system, controlling the valve flow by adopting a pressure stabilization regulation algorithm, and determining a pressure balance index. Therefore, according to the cooling system pressure regulation and control method based on multi-source data fusion, the pressure change can be dynamically responded, the system pressure can be stably maintained, and the air resistance phenomenon can be effectively eradicated.

The invention relates to the technical field of fluid mechanics modeling and aerodynamic acoustic analysis, in particular to a spectral orthogonal decomposition-based separated flow wall surface pressure pulsation dominant structure modeling method, which comprises the following steps of: acquiring a whole flow field and / or wall surface unsteady pressure data of a separated flow under a preset working condition; performing spectral orthogonal decomposition on the unsteady pressure data, performing frequency domain decoupling on multi-scale features, and extracting feature values and spatial dominant feature modes under each feature frequency; constructing a complex wave packet physical parameterized model, fitting the spatial dominant feature modals, and compressing the spatial dominant feature modals into sparse physical parameter vectors after nonlinear regression solution; and reconstructing a wall surface pressure pulsation dominant component based on the sparse physical parameter vector and the characteristic value, and carrying out at least one of flow mechanism analysis and pneumatic order reduction modeling according to the dominant component. Therefore, the problems of low reconstruction precision and the like caused by the fact that asymmetric evolution and variable acceleration convection of a large-scale structure in separation flow wall surface pressure pulsation cannot be accurately represented in a frequency domain in related technologies are solved.

The invention relates to the technical field of fluid control, and discloses a drip-proof self-adaptive fluid dispensing control method and system. The method comprises the following steps: acquiring an image sequence, pressure data and viscosity change data when fluid is disconnected; positioning an abnormal disconnection moment, extracting a corresponding picture, and extracting a necking diameter and a necking length from the picture; calculating the real-time change rate of the necking diameter based on the necking parameters, obtaining the state identification that the fluid is about to be disconnected, and predicting the disconnection opportunity; integrating the cut-off opportunity predicted value and the viscosity data to obtain a comprehensive data set, and calibrating core parameters to generate an adaptive signal waveform; acquiring a real-time flow velocity data correction waveform, and generating an optimization control signal; and extracting a key intervention point, applying pulse intervention, calculating the colloid residual quantity, performing iterative optimization if the colloid residual quantity exceeds a preset threshold value, and performing no intervention if the colloid residual quantity does not exceed the preset threshold value, thereby finally obtaining a non-leakage control sequence. According to the method, the necking characteristic of the fluid can be accurately captured, the working condition is dynamically adapted, non-dripping dispensing is realized, and the control precision and stability are improved.

The application discloses a wafer needle pressure test method and system, the wafer needle pressure test method comprises the following steps: obtaining the overall warping degree of the wafer and the needle pressure data of the wafer, the overall warping degree of the wafer represents the height of the surface of the wafer in contact with the probe; based on the overall warping degree and the needle pressure data of the wafer, the moving distance of the wafer moving towards the probe is controlled to perform needle pressure test on the wafer. The application obtains the overall warping degree of the wafer and the needle pressure data of the wafer, and controls the moving distance of the wafer moving towards the probe based on the overall warping degree and the needle pressure data of the wafer to perform needle pressure test on the wafer, so that the moving distance of each test point of the wafer is different when performing needle pressure test, and the problem of poor contact or piercing the chip metal pin caused by using the same needle pressure value to test the three-dimensional integrated wafer is avoided.

The invention belongs to the technical field of petroleum and natural gas drilling engineering, and relates to a rotary steering test method and system for simulating underground drilling fluid circulation in a workshop. The method comprises the following steps: firstly, determining a dynamic fingerprint and a tolerance band of a circulation channel of a target well section, wherein the dynamic fingerprint comprises a time domain step and a frequency domain phase index; constructing a test loop of a series-connected adjustable hydraulic dynamic equivalent module, wherein the module comprises a containing cavity, a throttling unit and an inertia pipe unit to regulate and control flexibility, damping and inertia; applying flow disturbance and collecting flow pressure data to obtain a current dynamic fingerprint; comparing the tolerance band to iteratively adjust module parameters until the fingerprint reaches the standard; and after locking the parameters, carrying out function testing. The problem that traditional testing is disjointed with underground working conditions can be solved, testing accuracy and reliability are improved, testing cost is reduced, and testing requirements of different well sections are met.

The invention provides a perfluorohexanone active fire extinguishing system applied to an energy storage power station, and belongs to the technical field of active fire extinguishing systems, the perfluorohexanone active fire extinguishing system comprises a multi-mode composite detection array composed of a thermal imaging sensor, an air pressure sensor, a visible light camera and an ultraviolet light sensor, the multi-mode composite detection array is configured to collect temperature field data, air pressure data, visible light video streams and ultraviolet spectrum data in the energy storage battery cabin by a preset timestamp synchronization mechanism, and output four-mode original data streams to the thermal runaway micro-hotspot recognition engine and the like; early discovery, accurate positioning, fine release, true suppression and self-evolution full-closed-loop active fire extinguishing of the energy storage power station in the high-altitude extreme environment are achieved, and the safety, economical efficiency and long-term maintainability of the energy storage power station are remarkably improved.

The invention relates to an automobile massage seat system, a control method and an automobile, and belongs to the technical field of automobile chairs, the automobile massage seat system comprises a pressure detection unit arranged on a seat and used for collecting pressure data to generate a continuous pressure distribution image of a contact part of a user and the seat; the acupuncture point determining unit is used for calculating the coordinate position of the target acupuncture point in a seat coordinate system based on the continuous pressure distribution image by combining an anatomical mark positioning and pressure feature matching method; and the massage execution unit is arranged in the seat and is used for massaging the user. The actual contact form of the user and the seat can be dynamically recognized based on the collected pressure distribution image, individualized precise positioning of acupuncture point coordinates is achieved through fusion analysis of anatomical marks and pressure features, the massage execution unit can adjust the massage position in real time according to the positioned coordinates, and the massage effect is improved. Therefore, it is ensured that the massage head accurately acts on the target acupuncture point, and the massage effectiveness and overall comfort of a user are improved.

The invention provides a multi-cavity mold PET bottle preform production consistency optimization control method, which comprises the following steps of: arranging high-response infrared thermal imaging and piezoelectric pressure sensors to realize high-precision real-time synchronous acquisition of temperature and pressure data of each cavity, and establishing a cavity exclusive thermal history fingerprint model by using time sequence feature extraction and a deep neural network; combining the thermal historical fingerprints and the real-time filling data, dynamically calculating the thermal interference intensity between the cavities, and generating a multivariable coupling relation matrix; decomposing an overall consistency target by using principal component analysis and a multi-target optimization algorithm, generating a personalized compensation instruction adapted to thermal inertia and sensitivity of each cavity, and realizing multivariable decoupling cooperative control through adaptive PID parameter adjustment and virtual decoupling variables; wall thickness detection quality feedback is introduced, a model closed-loop calibration mechanism is constructed, adaptive iterative optimization of a control strategy and forming quality is guaranteed, and the consistency of multi-cavity injection molding products and the robustness of the system are remarkably improved.

A method may include obtaining acquired pressure data for various wells in a geological region of interest. The method may further include obtaining acquired pressure gradient data for the wells. The acquired pressured gradient data may correspond to a pressure difference based on vertical depth at one or more wells among the wells. The method may further include obtaining acquired temperature data regarding the wells. The method may further include determining predicted pressure data for a well in the geological region of interest using a first machine-learning model and the acquired pressure data. The method may further include determining predicted pressure gradient data for the well using a second machine-learning model and the acquired pressure gradient data. The method may further include determining predicted flow rate data for the well using a third machine-learning model, the predicted pressure data, the predicted pressure gradient data, and the acquired temperature data.

The application provides a real-time closed-loop adaptive airway pressure regulating system. The system comprises a respirator mask and a host computer; the respirator mask is provided with an airflow monitoring module, a pressure monitoring module, a snore monitoring module, a lower jaw electromyography monitoring module, a forehead transcutaneous carbon dioxide sensing module and a preprocessing module; the host computer is internally provided with an intelligent module; the preprocessing module pre-processes airflow velocity, pressure data, airway vibration signals, electrical signals corresponding to lower jaw and pharyngeal muscle activity and carbon dioxide content measured by the airflow monitoring module, the pressure monitoring module, the snore monitoring module, the lower jaw electromyography monitoring module and the forehead transcutaneous carbon dioxide sensing module in real time; the intelligent module identifies a risk window period of airway collapse of a user in real time according to the pre-processed data and performs adaptive pressure boosting control on the pressure in the airway of the patient after identification. The application reduces the misjudgment rate of newly occurring CSA events of complex sleep apnea after OSA relief.