98 results about "Pressure waveform" patented technology

The invention discloses a solid waste-based zinc chloride preparation process control method and system, and relates to the technical field of zinc chloride preparation, and the method comprises the following steps: obtaining a unified time base line, establishing a bubble phase reference field, collecting a sound-induced echo sequence, a micro-pressure waveform sequence and a light scattering sequence of a reaction liquid under the bubble phase reference field, and calculating the solid waste-based zinc chloride preparation process. Fusing to generate a bubble density space-time matrix; and performing reversible time-frequency rearrangement based on the bubble density space-time matrix, decomposing to obtain different frequency band distributions, extracting a narrow-band resident bubble group, calculating critical volume distribution and collapse precursor indexes, and constructing a dynamic risk fingerprint database. According to the method, a unified time base line and a bubble phase reference field are constructed, the bubble state is perceived in real time, collapse forebodes are recognized, a dynamic risk fingerprint database is established, directional intervention and reverse energy channel collapse nucleus extinguishing are achieved in combination with an energy aggregation node, finally closed-loop regulation is constructed through calibration write-back, the safety and stability of zinc chloride preparation are improved, and the method is suitable for large-scale popularization and application. And efficient utilization and clean production of solid waste are promoted.

The invention relates to the field of precision machining detection, and discloses a hydraulic shaft sleeve machining detection system and detection device which comprises a pneumatic servo control module, a signal collecting and processing module and a thermal inversion calculation module. The pneumatic servo control module drives the overturning air cylinder to apply a composite pressure waveform containing a static reference and a periodic flutter component to the hydraulic sleeve; the signal acquisition and processing module performs frequency domain analysis on a displacement signal detected by the displacement sensor and separates average displacement and displacement amplitude; the thermal inversion calculation module calculates real-time dynamic stiffness according to the displacement amplitude, a material stiffness thermal softening model is used for reversely deducing a temperature rise value, thermal expansion and elastic deformation errors are stripped through multi-dimensional error decoupling operation, and real height data under the standard temperature and without external force are calculated. According to the invention, active excitation and frequency domain analysis technologies are utilized, so that the interference of an oil film and thermal deformation is effectively solved, and high-precision online detection and processing compensation of a thermal-state workpiece are realized.

The invention relates to the technical field of blood transfusion pipeline detection, and discloses a blood transfusion pipeline jitter detection method based on an intelligent sensor. According to the method, an initial control instruction generation layer receives an operation instruction, and a natural language analysis unit identifies a pipeline number and a preset jitter threshold parameter; the multi-mode signal detection layer collects pressure waveform signals and three-dimensional motion track signals of a blood transfusion pipeline in real time, and establishes a feature matching database to store reference signal feature combinations corresponding to different pipeline models. The dynamic mapping layer combines the real-time detection signal features with the reference signal features to perform similarity matching; the double-domain interpolation calculation layer generates an anti-jitter control parameter according to a matching result; the anti-phase jitter elimination execution layer outputs a phase compensation instruction according to the anti-jitter control parameters; the parameter optimization layer updates a feature matching database according to the historical jitter residual volume data; and the abnormal decision-making layer judges an unrestrained jitter state and triggers an alarm protocol, and also implements a full-period updating mechanism to refresh a reference signal feature combination.

The invention provides an automobile part injection molding parameter control method and device, equipment and a medium. The method comprises the steps that feature extraction is conducted on nozzle pressure waveform data and a screw position sequence which are synchronously collected to generate a process feature set, V / P switching point calibration is conducted on the process feature set to generate optimized V / P switching point parameters, and injection molding speed optimization is conducted on the process feature set to generate optimized injection molding speed parameters. According to the optimized V / P switching point parameter and the optimized injection molding speed parameter, an injection molding simulation test is carried out to set an optimized dwell pressure parameter, and according to the optimized dwell pressure parameter, the optimized injection molding speed parameter and the optimized V / P switching point parameter, fluid-solid coupling simulation is carried out to generate an optimized mold clamping force parameter. And generating a production control adjustment instruction according to the nozzle pressure waveform data in the production process. By calibrating the V / P switching and injection speed and optimizing the pressure maintaining and mold clamping force, self-adaptive closed-loop optimization of process parameters is achieved, and the stability of the product size and appearance is guaranteed.

This invention relates to the field of infusion rate control technology, specifically to an adaptive adjustment method for intraoperative anesthetic drug infusion rate based on reinforcement learning. The method includes the following steps: monitoring tubing pressure waveforms to extract hysteresis response features; constructing a multidimensional fluid environment state vector by splicing anesthesia depth errors; inputting the vector into a neural network to map and output a composite command containing a base flow rate and resistance torque; establishing a corrected drive signal by superimposing acceleration pulses based on tubing stiffness and compensating for flow leakage; and completing closed-loop verification based on pressure change rate deviation. In this invention, by analyzing the establishment and attenuation features of the pressure waveform to reconstruct the hysteresis response state of the physical environment, tubing compliance is incorporated into the network input space and mapped to generate a composite command containing a base flow rate and resistance torque. This eliminates drug delivery delays caused by tubing expansion and energy absorption, ensuring that motor actions are instantly converted into effective drug injection, thereby improving the real-time response speed and drug delivery control accuracy of anesthesia depth regulation.

Systems and methods for non-contact arterial blood pressure waveform monitoring based on machine learning are provided. The method includes transmitting a millimeter wave signal waveform with a millimeter wave radar and receiving a reflected signal from the chest of a subject; extracting complex value millimeter wave IQ data from the received reflection signal; guiding the complex valued millimeter wave IQ data with a beamforming-based data enhancement module to form a target signal beam; and estimating an arterial blood pressure waveform from the target signal beam using a millimeter wave-arterial blood pressure waveform converter. During a training phase, the beamforming-based data enhancement module is configured to generate millimeter wave signal beam data from different angles for training the millimeter wave-arterial blood pressure waveform transducer; and a cross-modal knowledge migration module is utilized to generate a teacher model so as to jointly supervise training of the millimeter wave-arterial blood pressure waveform converter.

The invention discloses a staged pump speed regulation and control implementation method for improving VA-ECMO cycle stability, and relates to the technical field of biomedical engineering. The method comprises the following steps: acquiring a real-time aorta pressure waveform, a peripheral artery pressure waveform and an ECMO post-pump pressure waveform of a patient, and extracting pulse wave characteristics, a pressure oscillation amplitude and phase deviation information; calculating a heart-ECMO blood flow intersection collision intensity index and evaluating a heart load state grade; acquiring a vascular compliance estimated value of a patient, and determining a target pump speed adjusting mode and adjusting amplitude according to a hierarchical regulation strategy library; and the current actual pump speed is obtained, a speed regulation decision is made, the ECMO pump is driven to execute graded stepped pump speed regulation, and the regulation speed is dynamically corrected in real time in the regulation process until the cyclic stable interval is reached. Quantitative evaluation and self-adaptive regulation and control of the pump speed are achieved, hemodynamic fluctuation is inhibited, and the stability and safety of VA-ECMO cycle support are improved.

The invention discloses an engine ventilation process simulation calculation method based on three-dimensional iteration calibration, and belongs to the technical field of engine simulation data processing. The invention discloses an engine ventilation process simulation calculation method based on three-dimensional iteration calibration. The method comprises the steps that a one-dimensional simulation model and a three-dimensional simulation model of an intake and exhaust pipe system of an engine are constructed; same parabolic pressure wave boundary conditions are applied to air ports of the one-dimensional simulation model and the three-dimensional simulation model; calibrating the one-dimensional simulation model by iteratively adjusting structural parameters of key pipe sections of the one-dimensional simulation model by taking pressure waveforms of air cavities and header pipe nodes in the three-dimensional simulation model as references; and applying the calibrated one-dimensional simulation model to the one-dimensional model of the whole engine. By adopting the engine ventilation process simulation calculation method based on the three-dimensional iteration calibration, the problem that the whole machine simulation design efficiency is low due to the fact that the coupling relation is complex and the calculation time is long in the existing engine three-dimensional ventilation process can be solved.

The application discloses a kind of based on waveform tracking and active reverse phase air supplementing volumetric pump outlet pulsation suppression system and control method thereof, it is related to pulsation suppression technical field, for solving the problem that volumetric pump outlet pressure pulsation causes fluid delivery instability and affects system operating state during operation, by the real-time acquisition and phase analysis of the outlet pressure waveform of the volumetric pump to be measured, pressure fluctuation trend is constructed, based on phase reverse matching generation air supplementing regulation instruction realizes the reverse phase synchronization of air chamber regulation action and pressure change, and dynamic evaluation and compensation correction are carried out to gas-liquid coupling characteristics in combination with liquid level response, while introducing hysteresis control mechanism to closed-loop judge regulation termination and pulsation return state, to realize the adaptive suppression of pressure pulsation under different operating rhythm, improve outlet pressure stability, reduce pulsation residual amplitude, enhance system dynamic response consistency and operating reliability.

The invention discloses a diaphragm metering pump pulsating pressure monitoring device based on piezoelectric energy harvesting self power supply. The diaphragm metering pump pulsating pressure monitoring device comprises a sealing shell, a pressure cavity formed in the sealing shell, a micro pressure sensor, piezoelectric energy harvesting units distributed in the circumferential direction and a circuit module. The piezoelectric energy capture unit converts pressure pulsation generated by the metering pump in the cavity into electric energy, and the electric energy is rectified and stored through the energy management circuit. When the energy storage voltage reaches a threshold value, the micro-control unit is awakened, the pressure sensor is controlled to collect pulsating pressure data and send the pulsating pressure data through the wireless communication module, and then the system is dormant again. Self power supply is realized by utilizing measured pressure pulsation, and an external power supply or a battery is not needed; an undamped pressure tapping structure is adopted to ensure high fidelity of pressure waveforms; the highly integrated design is convenient for on-site rapid installation; through an intermittent acquisition and centralized transmission mode, reliable monitoring is realized under low power consumption, and the method is particularly suitable for long-term maintenance-free state monitoring and fault diagnosis of the diaphragm metering pump.

The invention relates to the technical field of data processing, in particular to a vacuum hole plugging machine abnormity monitoring method and system based on pressure time sequence data. The method comprises the steps that a pressure data sequence of each hole plugging operation period in the working process of the vacuum hole plugging machine is collected, and a filling mesh pressure sequence is segmented in combination with an equipment control signal; obtaining a standard filling mesh pressure sequence; the method comprises the following steps: acquiring a dynamic flow resistance distortion index of a current hole plugging operation period on the basis of comparison between a standard filling mesh pressure sequence and a filling mesh pressure sequence of the hole plugging operation period, and acquiring a dynamic flow resistance distortion index of the current hole plugging operation period on the basis of an accumulated value of the dynamic flow resistance distortion index and a dynamic flow resistance distortion index of a historical operation period; the final blocking risk coefficient of the current hole plugging operation period is obtained, the abnormal state of the vacuum hole plugging machine is monitored on the basis of the final blocking risk coefficient, the tiny blocking risk can be found in advance by capturing the change of the pressure waveform and combining the historical trend, and production accidents are effectively avoided.

The disclosure relates to a method (100) for notifying a clotting event in an arterial line (1) of a human being (2), to a corresponding system, computer program product and data carrier signal. The method (100) comprises providing (110) a hemodynamic signal indicative of an arterial blood pressure waveform (10) in the arterial line (1); determining (120) a hemodynamic contraction parameter related to a contraction of the heart based on the hemodynamic signal; determining (130) a hemodynamic relaxation parameter related to a relaxation of the heart based on the hemodynamic signal; determining (140) a clotting event in the arterial line (1) in case the hemodynamic contraction parameter indicates a decrease of contractility and the hemodynamic relaxation parameter indicates an increase of contractility, and providing (150) a signal notifying of the determined clotting event.

A continuous blood pressure measurement device includes a cuff airbag pneumatically connected to an inflation / deflation unit and a pressure detection unit. The device also comprises at least one light-emitting diode, at least one photodiode, and a volume detection unit configured to convert photoplethysmogram signals into arterial volume signals. A control unit precisely tracks a predefined setpoint to achieve arterial unloading based on a volume compensation method. An extraction unit reconstructs a high-fidelity arterial blood pressure waveform and accurately determines systolic, diastolic, mean arterial pressures, and heart rate.

This invention provides a method, apparatus, and electronic device for detecting abnormal sample needle aspiration. The method includes: acquiring a sensor self-test pressure value; determining whether the sample dispensing system is in a normal or abnormal state based on the self-test pressure value; performing a liquid aspiration operation based on the normal state of the sample dispensing system; acquiring a sample needle aspiration pressure waveform; and determining whether the sample needle is in a normal state, an empty aspiration state, or a blocked state based on the aspiration pressure waveform; and acquiring a sample needle cleaning pressure waveform; and determining whether the sample needle is in a normal filling cleaning state, an abnormal non-filling cleaning state, or a blocked cleaning state based on the cleaning pressure waveform. The sample needle aspiration abnormality detection method provided by this invention can achieve real-time detection of multiple abnormal states, ensuring the accuracy of test results.

A water pump flow control method and control system, the method comprising S1: control system initialization, obtaining a global impedance set through the control system, the global impedance set comprising but not limited to impedance coefficients Z of all branches i , initial pressure Q s , and falling slope K; S2: based on the global impedance set, through the pulse synchronous constant current control method, coordinating the pulse switch timing of all branches, making the whole pipe network system run synchronously in constant current; S3: if the pulse unit at the inlet end of any branch detects that the pressure waveform is continuously abnormal, the fault diagnosis module will send a fault alarm and diagnosis result to the main controller, the main controller isolates the abnormal branch, and re-executes S2. Through the control method and system, the variable frequency water pump can be started at off-peak, avoiding the huge pressure impact caused by the simultaneous start and stop of all valves. Secondly, the variable frequency water pump always works near the resonance point, the output constant flow is stable, the system runs in the "resonance" state, and the irrigation is more stable.

To provide a biological meridian energy circulation device that realizes bioregulation of the human body's body fluid circulation. [Solution] The biological meridian energy circulation device adopts a wearable ring-shaped structure and includes components: a physiological signal collection layer that fits closely to the human body, a control layer integrating a core processing module, and a user interface layer. The physiological signal collection layer is used to acquire human pulse wave signals. The control layer incorporates a built-in pulse wave conduction simulation model and a traditional Chinese medicine meridian parameter mapping mechanism, and generates a pressure waveform control signal based on the pulse wave signal in accordance with the traditional Chinese medicine meridian regulation rules. The user interface layer is used to input regulation commands and display operating status. Pulse wave conduction characteristics are associated with qi and blood circulation parameters in traditional Chinese medicine meridian theory.

The application discloses a verification method for triggering of a respiratory support device, a respiratory support device and a storage medium, and relates to the technical field of respiratory support devices. The method comprises the following steps: in step S1, when flow triggering is detected, the starting point time and the ending point time of flow triggering determination are acquired, and a real-time pressure curve segment in a time period from the starting point time to the ending point time is acquired; in step S2, the minimum pressure value is determined according to the real-time pressure curve segment, and the minimum pressure value is compared with a preset exhalation pressure value; in step S3, if the minimum pressure value is less than or equal to the preset exhalation pressure value, the pressure minimum point time corresponding to the minimum pressure value of the pressure curve segment is acquired; and in step S4, whether the flow triggering before the pressure minimum point time, the starting point time and the ending point time is a false triggering is determined according to the difference between the pressure minimum point time, the starting point time and the ending point time. The application aims to perform secondary verification on the pressure waveform after flow triggering, thereby effectively avoiding the false triggering phenomenon.

The present application relates to the field of precision machining detection, and discloses a hydraulic shaft sleeve machining detection system and detection device, which comprises a pneumatic servo control module, a signal acquisition and processing module and a thermal inversion calculation module.The pneumatic servo control module drives the overturning cylinder to apply a composite pressure waveform comprising a static reference and a periodic jitter component to the hydraulic sleeve; the signal acquisition and processing module performs frequency domain analysis on the displacement signal detected by the displacement sensor to separate the average displacement and displacement amplitude; the thermal inversion calculation module calculates the real-time dynamic stiffness according to the displacement amplitude, inversely calculates the temperature rise value using a material stiffness thermal softening model, and separates the thermal expansion and elastic deformation error through multi-dimensional error decoupling operation to calculate the standard temperature and real height data under no external force.The present application effectively solves the oil film and thermal deformation interference by using active excitation and frequency domain analysis technology, and realizes high-precision online detection and machining compensation of the thermal workpiece.

An apparatus for measuring a jugular vein pressure waveform comprises a rotation sensor (102) configured to produce a measurement signal when being against a skin of an individual and in a movement sensing relation with a jugular vein (104) of the individual. The apparatus comprises a processing system (101) configured to receive the measurement signal and produce a waveform of a motion of the skin in a direction perpendicular to the skin based on the measurement signal indicative of rotation of the rotation sensor, where the waveform of the motion of the skin is indicative of the jugular vein pressure waveform. The rotation sensor that measures rotation is more insensitive to movements not related to variation of the jugular vein pressure than for example an acceleration sensor.

A method of measuring blood pressure includes estimating systolic and diastolic blood pressures while inflating a cuff. The estimates of the systolic and diastolic blood pressures are based on waveform oscillations of pressure detected from the cuff. First and second ranges of interest are defined based on the estimated systolic and diastolic blood pressures, respectively. The method includes deflating the cuff at a first deflation rate until the first range of interest is reached and measuring the systolic blood pressure while deflating the cuff at a second deflation rate through the first range of interest. The second deflation rate is less than the first deflation rate. The method includes deflating the cuff at the first deflation rate until the second range of interest is reached, and measuring the diastolic blood pressure while deflating the cuff at the second deflation rate through the second range of interest.

This invention relates to the field of medical device technology and discloses a positive and negative pressure airway clearing system and method based on high-speed switching of a single turbine. The processing module receives feedback signals from sensing components and compares these signals with preset target pressure or flow parameters to generate electronic control signals. The control unit is configured to output electronic control signals to the electric turbine fan via a drive module. This design significantly reduces the complexity, size, weight, and manufacturing cost of the equipment by using a single high-performance turbine fan instead of the traditional dual-turbine and complex valve system. The pressure generation unit and control unit work together to achieve millisecond-level switching of the electric turbine fan's operating state, enabling rapid and smooth alternation of positive and negative pressure, thereby generating a highly efficient pressure waveform that closely resembles that of a physiological cough.

A ventilation device and its diaphragm installation detection method, apparatus, medium, and controller are disclosed. The method includes: recording the airway pressure in the expiratory airway during the process of introducing gas from the inlet into the expiratory airway to obtain an initial pressure waveform, wherein the inlet pressure of the gas is less than the PEEP value set by the PEEP valve; and determining whether the diaphragm is installed at the outlet of the expiratory airway based on the initial pressure waveform. The solution provided in this application can effectively detect the situation where the diaphragm at the outlet of the expiratory airway of the ventilation device is missing.

A portable device is configured to connect directly to an intraosseous (IO) catheter and provide a clinician with actionable information to determine whether the catheter is placed correctly, such as whether the catheter is placed in the medullary cavity of bone. The device provides this information leveraging the presence or absence of arterial pressure waveforms. A method for assessing placement of an intraosseous catheter includes coupling a pressure transducer to an IO catheter placed in tissue, obtaining a continuous pressure waveform from a pressure signal provided by the pressure transducer, and assessing placement of the catheter based on the continuous pressure waveform.

The device for measuring jugular vein pressure waveforms includes a rotation sensor (102) configured to generate a measurement signal when it is in contact with the individual's skin and in a relationship with the individual's jugular vein (104) that detects movement. [Solution] The device includes a processing system (101) configured to receive a measurement signal and generate a waveform of skin movement perpendicular to the skin based on the measurement signal indicating rotation of a rotation sensor, wherein the waveform of skin movement indicates a jugular vein pressure waveform. The rotation sensor that measures rotation does not respond to movements unrelated to fluctuations in jugular vein pressure, for example, an acceleration sensor.

This invention discloses a fault early warning analysis method and system for GIS gas treatment equipment based on the Internet of Things (IoT). The method includes: acquiring pressure waveforms and valve command times; extracting the directional bias features of the response sequence during the inflation phase to obtain the response bias, and obtaining the phase lag angle through nonlinear mapping; defining the pressure holding phase, symbolizing the pressure difference to obtain a symbolic sequence, and obtaining the fluctuation symmetry based on the distribution symmetry of the continuous length of positive and negative signs; calculating the attenuation disturbance factor based on the fluctuation symmetry, pressure holding duration, and pressure range; constructing joint feature points using the phase lag angle and the attenuation disturbance factor; obtaining the feature point cloud distribution boundary under healthy conditions, calculating the deviation of the joint feature points relative to this boundary, and determining the fault type based on the degree and direction of deviation. This invention achieves early fault warning and interpretable classification by extracting two-dimensional joint features of inflation response efficiency and pressure holding stability, reducing the false alarm rate and improving the real-time performance of early warnings.

The invention discloses a wearable pulse wave cardiovascular disease diagnosis method based on dual-mode sensing, and relates to the technical field of biomedical equipment and physiological signal processing. The method comprises the specific steps of equipment configuration and mode switching triggering, radial artery positioning detection and confirmation, fitting control and dual-mode signal acquisition, disease risk level determination and risk level matching and suggestion generation. Precision evaluation of cardiovascular disease risks is achieved through the pressure waveform and photoelectric waveform fusion technology, the early diagnosis ability is improved, through cooperative work of the array type pressure sensor and the photoelectric sensor, the stability and accuracy of pulse wave signal data acquisition are ensured in combination with dynamic air bag wrist strap pressure control, and the accuracy of pulse wave signal data acquisition is improved. After the collected data is preprocessed, key feature values are extracted, fusion feature values are generated through a dual-mode fusion formula, and finally the disease risk level is quantified through a risk assessment model, so that the accuracy of cardiovascular disease risk assessment is effectively improved.

The invention discloses a mining pipeline leakage positioning and intelligent valve closing system based on 5G + AI. The mining pipeline leakage positioning and intelligent valve closing system comprises a multi-mode sensor deployed at a pipeline key node, a mining 5G communication network, a cloud edge collaborative analysis platform and an intelligent execution unit. The sensor collects vibration and pressure waveform data, and the vibration and pressure waveform data are synchronously transmitted through a 5G network in a low-delay manner; the edge analysis unit is internally provided with a lightweight AI model for leakage initial judgment and triggering; the cloud analysis unit performs fusion analysis on multi-node synchronous data by adopting a space-time convolutional neural network to realize sub-wavelength level accurate positioning and intensity evaluation of a leakage point; and the decision engine generates an intelligent instruction containing a dynamic valve closing strategy according to the positioning and evaluation result, and issues the intelligent instruction to the intelligent valve for execution through the 5G network. The problems that a traditional method is poor in positioning precision, lagged in response and high in false alarm rate are solved, rapid sensing, accurate positioning, intelligent decision making and self-adaptive optimization of leakage events are achieved, and the safety and reliability of the mining liquid supply pipeline are remarkably improved.

The invention relates to the technical field of industrial equipment state monitoring, in particular to a dust collector pulse valve state diagnosis method and system based on pressure data. The method comprises the steps that pressure data of compressed air pipelines where pulse valves are located and injection driving signals of the pulse valves are collected in real time; taking the injection driving signal as a reference, intercepting the pressure data to obtain a pressure waveform segment of each pulse valve in the injection event, and calculating to obtain an actual pressure difference of each pulse valve in the injection event; establishing a prediction model based on a gas dynamics theory and a regression model architecture, wherein the prediction model is used for predicting an ideal pressure difference of each pulse valve in the injection event; and comparing the actual pressure difference of each pulse valve with the corresponding ideal pressure difference, and determining a state diagnosis result of each pulse valve based on a comparison result. By establishing a quantifiable complete monitoring chain from'control instruction 'to'pneumatic execution effect', the performance state of the pulse valve can be effectively, accurately and early diagnosed.

A heart failure management system for a patient includes a plurality of sensors including at least one implantable pressure sensor positioned within the heart to capture synchronized left and right heart pressure waveforms, transmitted via one or more transmitters to a receiver. Control circuitry receives these waveforms and processes them using a machine learning medication dosage management model, trained on historical left and right heart pressure logs, volume status metrics (e.g., weight, fluid intake, symptoms), and / or ground truth dosage logs for certain heart failure treatment medications, such as a blood pressure reducing medication (e.g., ARNI) and an intravascular volume reducing medication (e.g., Lasix). The model can generate real-time dosage recommendations, systemic blood pressure, and volume load predictions in real-time, enabling precise, data-driven treatment adjustments aligned with clinical guidelines, supporting timely clinical decisions or automated medication dispensing to optimize patient outcomes and reduce hospitalization risks.

The present application relates to the technical field of medical devices, and discloses a real-time pressure regulating system for an intestinal obstruction catheter and the intestinal obstruction catheter. The system comprises a data acquisition module that generates a dynamic three-dimensional intestinal pressure field model, synchronously monitors intestinal PH value, oxidation-reduction potential and gas composition; an intestinal obstruction type identification module that analyzes pressure waveform characteristics and identifies the obstruction type in combination with knowledge graph reasoning; a comprehensive obstruction index output module that fuses multiple physiological data to obtain a comprehensive obstruction index; a cross-patient scheme adaptation module that adapts a cross-patient treatment scheme to obtain an initial airbag adjustment strategy; a scheme optimization and closed-loop fuzzy control module that constructs a personalized intestinal data coupling model, combines an MPC and a double closed-loop fuzzy PID controller to optimize a strategy output control instruction; and through model prediction and closed-loop control, the airbag pressure can be adjusted in real time and accurately according to the intestinal condition of the patient, dynamic and accurate control of the intestinal obstruction treatment process is realized, and the treatment effect is improved.