Intelligent gastrointestinal decompression negative pressure adjusting device based on real-time pressure feedback

Abstract

This invention discloses an intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback, belonging to the field of medical device technology. This invention utilizes a ring array pressure sensor combined with dynamic air pressure correction technology to accurately collect intraluminal pressure data. Relying on hierarchical linkage control logic, it achieves linear negative pressure output and dynamic adaptation, realizing intelligent and precise control of gastrointestinal decompression and negative pressure. This effectively avoids mucosal damage and incomplete drainage. The optimized structural design further enhances the stability and safety of the drainage process. Combined with a safety monitoring module and liquid level monitoring, it enables abnormal alarms and automatic protection, significantly improving treatment safety. Simultaneously, it features a full-dimensional visualization interface that displays core data and images in real time, supports parameter operation and data traceability, simplifies clinical operation procedures, improves the standardization and precision of diagnosis and treatment, adapts to various clinical scenarios of gastrointestinal decompression, reduces the burden of manual monitoring, and improves clinical diagnostic and treatment efficiency.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, and in particular to an intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback. Background Technology

[0002] Gastrointestinal decompression is a common diagnostic and treatment method in clinical gastroenterology and surgery, mainly used in cases of gastrointestinal obstruction and postoperative gastrointestinal function recovery. It uses negative pressure drainage to remove accumulated fluid and gas in the gastrointestinal tract, relieving gastrointestinal pressure. Traditional gastrointestinal decompression devices often use a manual adjustment method with a fixed negative pressure value, which cannot be dynamically adjusted according to the real-time pressure within the patient's gastrointestinal lumen. This can easily lead to problems such as excessively high negative pressure damaging the gastrointestinal mucosa and excessively low negative pressure resulting in incomplete drainage. Furthermore, pressure data acquisition is easily affected by environmental atmospheric pressure, altitude, and other factors, resulting in insufficient data accuracy. At the same time, the drainage tubing of traditional devices is prone to blockage and reflux, lacking a comprehensive safety monitoring and protection mechanism, posing a high clinical risk. In addition, the devices lack systematic visualization and data recording functions, requiring manual monitoring by medical staff, which is cumbersome and makes it difficult to trace treatment data, failing to meet the needs of refined and intelligent clinical diagnosis and treatment. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback, so as to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: The intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback includes a gastrointestinal decompression device and an intelligent control component. The gastrointestinal decompression device includes a drainage tube, a vacuum pump, a negative pressure buffer chamber, pressure sensors, and the intelligent control component. The pressure sensors are embedded in the front end of the drainage tube in a ring array. The output end of the vacuum pump is connected to the negative pressure buffer chamber through a solenoid valve. One side of the negative pressure buffer chamber is connected to the drainage tube through another solenoid valve. The bottom end of the negative pressure buffer chamber is connected to a sump tank through a drain pipe. The intelligent control component is electrically connected to the pressure sensor, the vacuum pump, and the solenoid valve respectively. It is used to receive the pressure signal from the pressure sensor and control the operation of the vacuum pump and the solenoid valve to realize intelligent negative pressure regulation.

[0005] Furthermore, a visual probe is installed at the front end of the drainage tube, a filter screen is installed at the connection between the drainage tube and the negative pressure buffer chamber, the negative pressure buffer chamber is a cylindrical sealed structure and has a flow divider inside, and the inner wall of the drainage tube is provided with uniformly distributed flow guide grooves.

[0006] Furthermore, the bottom of the liquid collection tank is equipped with a drain outlet and a drain valve, and the inner wall of the liquid collection tank is equipped with a liquid level monitoring sensor for real-time monitoring of the liquid storage volume in the tank.

[0007] Furthermore, the pressure sensor is attached to the gastrointestinal mucosa to simultaneously collect absolute pressure, catheter negative pressure and ambient atmospheric pressure data at different monitoring points in the gastrointestinal lumen.

[0008] Furthermore, the solenoid valve consists of two high-precision proportional solenoid valves connected in parallel, which are used to regulate the negative pressure of the drainage conduit and work with the vacuum pump to output linear negative pressure.

[0009] Furthermore, the intelligent control components include: The pressure acquisition module is used to synchronously acquire pressure data at different monitoring points in the gastrointestinal lumen through pressure sensors and to preprocess the pressure data. The negative pressure control module is used to acquire pre-processed pressure data, calculate the real-time collected intracavitary pressure value, compare it with the preset target pressure, determine the difference between the intracavitary pressure value and the preset target pressure, and dynamically adjust the output parameters of the vacuum pump and solenoid valve based on the calculation results. The safety monitoring module is used to monitor the gastrointestinal decompression device. When an abnormality is detected, it will trigger an audible and visual alarm and activate the protection mechanism.

[0010] Furthermore, the pressure acquisition module also includes: The pressure precision correction unit is used for: Real-time collection of ambient atmospheric pressure data, time data, and current altitude data of the equipment; inputting the collected atmospheric pressure data, time data, and current altitude data of the equipment into a preset dynamic atmospheric pressure change model. Based on the dynamic change model of atmospheric pressure, the fluctuation pattern of atmospheric pressure over time and the coefficient of change with altitude under the current environment are obtained, and a real-time atmospheric pressure correction coefficient is generated. The system retrieves gastrointestinal pressure data synchronously collected by the pressure sensor, performs weighted calculations with the real-time atmospheric pressure correction coefficient, performs pressure compensation, reduces noise in the compensated pressure data, and finally outputs accurately corrected actual pressure data.

[0011] Furthermore, the negative pressure control module specifically includes: The pressure calculation unit is used to receive the corrected actual pressure data, calculate the deviation value and deviation change rate between the actual pressure data in the gastrointestinal lumen and the preset target pressure in real time, and construct a dynamic pressure change model by combining the change trend of negative pressure in the drainage catheter, and obtain the change law of pressure in the gastrointestinal lumen based on the dynamic pressure change model. The negative pressure control unit is used to construct a hierarchical linkage control logic based on the deviation value, the rate of change of deviation and the change law of gastrointestinal pressure. It performs coarse and fine control of negative pressure through solenoid valves, and at the same time matches and adjusts the working power of the vacuum pump. The verification unit is used to collect the actual negative pressure data of the pipeline after execution in real time, and compare the actual negative pressure data of the pipeline with the preset target pressure for verification. If the verification deviation exceeds the preset deviation threshold, a secondary control command is sent, and the deviation data is recorded and the pressure dynamic change model is optimized.

[0012] Furthermore, the negative pressure control unit constructs a hierarchical linkage control logic, specifically including: When the deviation value is greater than the preset fine deviation threshold, a high-priority control command is output to dynamically adjust the opening and closing adjustment rate of the solenoid valve and increase the opening and closing adjustment range. At the same time, a power boost command is sent to the vacuum pump to increase the output power of the vacuum pump. When the deviation value is less than the preset fine deviation threshold, a low-priority control command is output to reduce the opening and closing adjustment rate of the solenoid valve and reduce the adjustment amplitude. At the same time, a power fine-tuning command is sent to the vacuum pump to control the vacuum pump to operate at low power and perform fine power adjustment. Real-time data collection of solenoid valve opening and closing adjustment, vacuum pump power adjustment, and pipeline negative pressure changes are used to construct a correlation model between control parameters and negative pressure changes, and dynamically optimize the solenoid valve adjustment rate and vacuum pump power adjustment range corresponding to different deviation ranges.

[0013] Furthermore, the gastrointestinal decompression device also includes real-time display of gastrointestinal pressure, catheter negative pressure, fluid level data in the effusion tank, and real-time images from a visual probe; it generates and displays pressure change curves in real time, presenting the gastrointestinal pressure and catheter negative pressure data corrected by the pressure acquisition module in a dynamic curve form, simultaneously displaying real-time fluid level data and fluid level change trends in the effusion tank, and providing a visual operation interface. Medical staff can use this interface to preset target negative pressure, adjust negative pressure control parameters, switch negative pressure control modes, and perform visual queries and exports of abnormal alarm records, pressure change data, and fluid level data.

[0014] Furthermore, the negative pressure control module is equipped with an anti-hysteresis overshoot prediction compensation unit. The actual negative pressure data sequence of the pipeline collected in real time by the verification unit within the preset time window is obtained, and the actual negative pressure data sequence of the pipeline is used as the system driving negative pressure sequence; at the same time, the accurately corrected actual pressure data sequence output by the pressure accuracy correction unit within the preset time window is obtained, and the accurately corrected actual pressure data sequence is used as the terminal real pressure sequence. Based on the system-driven negative pressure sequence, the terminal actual pressure sequence, and the actual pressure change at the current moment, the advanced predicted pressure value is calculated; the calculation formula is as follows:

[0015] ; In the formula, The value of the advanced predicted pressure; The current moment; For the current moment The latest acquired values ​​in the terminal true pressure sequence; The preset feedforward compensation gain coefficient; The total number of sampled data within the preset time window; This is a positive integer variable representing the sequence number of the sampled data. For the serial number The values ​​in the system-driven negative pressure sequence corresponding to the sampled data; For the serial number The values ​​in the actual end pressure sequence corresponding to the sampled data; The current time Backtracking the preset sampling interval time The corresponding values ​​in the actual end pressure sequence; The preset zero-pressure constant is used to prevent small pressure fluctuations. Finally, based on the calculated advanced predicted pressure value, the predicted deviation value between the advanced predicted pressure value and the preset target pressure is calculated, and the predicted deviation value is used to replace the deviation value and input into the graded linkage control logic. The solenoid valve and the vacuum pump are dynamically adjusted according to the predicted deviation value to prevent negative pressure hysteresis overshoot and physical damage to the gastrointestinal mucosa caused by sudden changes in the fluid resistance inside the drainage tube.

[0016] Furthermore, the negative pressure control module is equipped with a fluid hammer oscillation suppression unit; Acquire multiple sets of precisely corrected actual pressure data continuously output by the pressure precision correction unit within a preset high-frequency sampling period; Based on multiple sets of precisely corrected actual pressure data, the high-frequency pressure fluctuation range and pressure fluctuation frequency are calculated. Next, based on the calculated high-frequency pressure fluctuation range and the pressure fluctuation frequency, it is determined whether a fluid hammer oscillation phenomenon occurs inside the drainage catheter: when it is determined that the high-frequency pressure fluctuation range is greater than a preset range safety threshold and the pressure fluctuation frequency falls within a preset fluid mechanical resonance frequency band, it is confirmed that the fluid hammer oscillation phenomenon occurs inside the drainage catheter. Finally, based on the confirmation of the fluid hammer oscillation phenomenon, the execution of the graded linkage control logic is paused, and the nonlinear flexible damping suppression mode is activated: the opening and closing adjustment rate of the solenoid valve is switched to a preset nonlinear gradual damping constraint curve model, and the action acceleration of the solenoid valve is dynamically limited based on the preset nonlinear gradual damping constraint curve model. The fluid oscillation pulse kinetic energy inside the drainage conduit is absorbed by the gradually smoothing change in the action cross-sectional area; at the same time, the high-frequency pressure fluctuation range value is repeatedly measured. After the high-frequency pressure fluctuation range value is continuously lower than the preset stable recovery threshold, the nonlinear flexible damping suppression mode is exited, and the execution of the graded linkage control logic is automatically resumed.

[0017] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention uses pressure sensors arranged in a ring array to fit the gastrointestinal mucosa, simultaneously collecting pressure data from multiple monitoring points. Combined with the pressure compensation and noise reduction processing of the pressure precision correction unit, the accuracy of the pressure data is ensured. The negative pressure control module balances control response speed and accuracy through pressure calculation, hierarchical linkage regulation, and closed-loop verification, dynamically adapting to different patients' gastrointestinal physiological states. This effectively avoids the problems of negative pressure over-adjustment damaging the gastrointestinal mucosa or insufficient negative pressure leading to incomplete drainage. At the same time, the algorithm self-optimizes to continuously improve the control accuracy.

[0018] 2. The stepped guide groove on the inner wall of the drainage conduit of this invention reduces drainage resistance, prevents wall adhesion, and reduces conduit wear. The flow divider in the negative pressure buffer chamber eliminates negative pressure pulse fluctuations and distributes negative pressure evenly. The filter screen intercepts debris to prevent pipeline blockage and ensures smooth and stable drainage. The liquid collection tank is equipped with liquid level monitoring and an automatic drain valve, which reduces the burden of manual operation. Moreover, the design of each core component is detachable, which facilitates cleaning and maintenance, reduces operating costs, and extends the overall service life of the equipment.

[0019] 3. The intelligent control component of this invention constructs a full-process safety monitoring system, promptly detects abnormalities such as pipe blockage and overpressure, and triggers protection mechanisms to reduce clinical treatment risks. At the same time, it displays core data, pressure and liquid level change curves, and visual probe images in real time through visualization functions, supports parameter presets, data queries and exports, realizes visualization of treatment operations and full-process data traceability, simplifies medical and nursing operations, improves the level of precision and standardization of diagnosis and treatment, and adapts to diverse clinical needs. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the intelligent gastrointestinal decompression and negative pressure regulating device of the present invention; Figure 2 This is a partial schematic diagram of the drainage catheter of the present invention; Figure 3 This is a front view schematic diagram of the drainage catheter of the present invention; Figure 4This is a schematic diagram of the intelligent control component module of the present invention.

[0021] In the diagram: 1. Gastrointestinal decompression device; 11. Drainage tube; 12. Vacuum pump; 13. Negative pressure buffer chamber; 14. Pressure sensor; 16. Solenoid valve; 17. Visual probe; 19. Liquid collection tank; 20. Diverter plate; 21. Guide channel. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Please see Figures 1-4 The present invention provides the following technical solutions: A smart gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback includes a gastrointestinal decompression device 1 and a smart control component. The gastrointestinal decompression device 1 includes a drainage tube 11, a vacuum pump 12, a negative pressure buffer chamber 13, pressure sensors 14, and the smart control component. The pressure sensors 14 are embedded in a ring array at the front end of the drainage tube 11 and are attached to the gastrointestinal mucosa. They are used to simultaneously collect absolute pressure, tube negative pressure, and ambient atmospheric pressure data at different monitoring points in the gastrointestinal lumen. The output end of the vacuum pump 12 is connected to the negative pressure buffer chamber 13 through a solenoid valve 16. One side of the negative pressure buffer chamber 13 is connected to the drainage tube 11 through another solenoid valve 16. The bottom end is connected to the sump 19 via a drain pipe. The bottom of the sump 19 is equipped with an automatic drain valve connected to a flange and a drain outlet. The inner wall of the sump 19 is equipped with a liquid level monitoring sensor to monitor the amount of sump liquid stored in the tank in real time, providing a dedicated storage space for gastric juice and debris drained from the gastrointestinal tract. The intelligent control component is electrically connected to the pressure sensor 14, the vacuum pump 12, and the solenoid valve 16, respectively, to receive the pressure signal from the pressure sensor 14 and control the operation of the vacuum pump 12 and the solenoid valve 16 to achieve intelligent adjustment of negative pressure. The solenoid valve 16 consists of two high-precision proportional solenoid valves connected in parallel, which are used to regulate the negative pressure of the drainage tube 11, and work with the vacuum pump 12 to output a continuous linear negative pressure of -3 kPa to -55 kPa.

[0024] In this embodiment, a pressure sensor 14 arranged in a ring array is embedded at the front end of the drainage catheter 11. This sensor can conform to the gastrointestinal mucosa and simultaneously collect absolute pressure, catheter negative pressure, and ambient atmospheric pressure data at different monitoring points in the gastrointestinal lumen, achieving real-time and comprehensive feedback of pressure signals. In conjunction with the parallel-connected solenoid valve 16 and negative pressure buffer chamber 13, the negative pressure parameters can be dynamically adjusted according to the real-time pressure in the gastrointestinal lumen. This effectively avoids the problems of excessively high negative pressure damaging the gastrointestinal mucosa and excessively low negative pressure leading to incomplete drainage, ensuring the scientific nature and effectiveness of gastrointestinal decompression treatment and adapting to the gastrointestinal physiological state and treatment needs of different patients.

[0025] In this embodiment, a visual probe 17 is provided at the front end of the drainage conduit 11, and a detachable filter screen is installed at the connection between the drainage conduit 11 and the negative pressure buffer chamber 13. The negative pressure buffer chamber 13 is a cylindrical sealed structure and has a diversion plate 20 inside. The diversion plate 20 diverts and buffers the negative pressure delivered by the vacuum pump 12, eliminates the pulse fluctuations generated during the negative pressure transmission process, avoids instantaneous negative pressure impact on the gastrointestinal mucosa, and further improves the patient's comfort during treatment. It can divert and guide the drainage material flowing in through the drainage conduit 11, slow down the flow speed of the drainage material, avoid the drainage material impacting the inner wall of the negative pressure buffer chamber 13 due to excessive flow speed, reduce component wear, and prevent pipeline blockage caused by drainage material splashing, ensuring the smooth and stable drainage process. It divides the internal space of the negative pressure buffer chamber 13, making the negative pressure distribution more uniform, avoiding excessively high or low local negative pressure, ensuring the accuracy of negative pressure control, and providing a good negative pressure environment for the accurate acquisition of pressure sensor 14 and the stable operation of negative pressure control unit. The drainage catheter 11 has evenly distributed guide grooves 21 on its inner wall. The guide grooves 21 are stepped, forming a top-to-bottom flow gradient, guiding the drainage material to flow smoothly along the stepped slope, avoiding the drainage material from accumulating and stagnating on the inner wall of the catheter. At the same time, the drop between the steps can help enhance the drainage force, and with the negative pressure of the pipeline, further improve the drainage efficiency, reduce the flow resistance of the gastrointestinal drainage material, and prevent the drainage material from sticking to the wall. In addition, the guide grooves 21 can increase the contact area between the drainage material and the inner wall of the catheter, disperse the impact force of the drainage material, reduce the wear of the drainage material on the inner wall of the catheter, extend the service life of the drainage catheter 11, and avoid problems such as the inner diameter of the catheter shrinkage and poor drainage caused by the drainage material sticking to the wall and solidifying. This ensures that the drainage process is continuous and smooth, and provides a guarantee for the stability of gastrointestinal decompression treatment.

[0026] In this embodiment, the inner wall of the drainage catheter 11 is provided with uniformly distributed guide grooves 21, which can significantly reduce the flow resistance of the gastrointestinal drainage material, prevent the drainage material from sticking to the wall, and ensure smooth drainage process; the detachable filter screen can effectively intercept impurities in the drainage material, avoid blockage of the catheter, solenoid valve 16 and vacuum pump 12, extend the overall service life of the device, and the detachable design facilitates daily cleaning and maintenance; the negative pressure buffer chamber 13 adopts a cylindrical sealing structure, and the liquid collection tank 19 is specially used to store gastric juice and impurities generated by gastrointestinal drainage. Its bottom is connected to an automatic drain valve through a flange, which facilitates rapid discharge of the liquid; the inner wall of the liquid collection tank 19 is provided with a liquid level monitoring sensor, which can monitor the amount of liquid stored in the tank in real time, and promptly remind the operator to handle it, reduce the burden of manual duty, improve the convenience of using the device, reduce the workload of medical staff, improve treatment efficiency and quality, and at the same time, the components of the device are detachable and easy to maintain, effectively reducing the cost of use, and have good clinical promotion value and application prospects.

[0027] In this embodiment, the intelligent control component achieves intelligent and precise regulation of gastrointestinal decompression through the coordinated operation of hardware and algorithms, including: The pressure acquisition module is used to synchronously acquire pressure data at different monitoring points in the gastrointestinal lumen through the pressure sensor 14, including absolute pressure, negative pressure in the drainage tube 11 and ambient atmospheric pressure, and preprocess the pressure data. The negative pressure control module is used to acquire pre-processed pressure data, calculate the real-time collected intracavitary pressure value, compare it with the preset target pressure, determine the difference between the intracavitary pressure value and the preset target pressure, and dynamically adjust the output parameters of vacuum pump 12 and solenoid valve 16 based on the calculation results. The safety monitoring module is electrically connected to the liquid level monitoring sensor, pressure acquisition module and vacuum pump 12. It is used to monitor the safety of the gastrointestinal decompression device 1. When abnormal conditions such as tube blockage, reflux, overpressure, or full accumulation of fluid are detected, an audible and visual alarm is triggered, and protection mechanisms such as automatic pressure relief and negative pressure suspension are activated to ensure the safety of decompression therapy. In this embodiment, the gastrointestinal decompression device 1 also includes real-time display of gastrointestinal pressure, catheter negative pressure, fluid level data in the effusion tank 19, and real-time images from the visual probe 17; it generates and displays pressure change curves in real time, visually presenting the gastrointestinal pressure and catheter negative pressure data corrected by the pressure acquisition module in the form of dynamic curves, making it easy for medical staff to intuitively grasp the changing trend of intraluminal pressure; it simultaneously displays real-time fluid level data and fluid level change trends in the effusion tank 19, and combined with the full-volume warning of the safety monitoring module, it realizes visualized monitoring of fluid storage; it provides a visual operation interface, through which medical staff can preset target negative pressure, adjust negative pressure control parameters, switch negative pressure control modes, and perform visualized query and export of abnormal alarm records, pressure change data, and fluid level data, realizing visualized operation and data traceability of decompression therapy.

[0028] In this embodiment, the intelligent control component and the gastrointestinal decompression device 1 work together to achieve intelligent, precise, and convenient gastrointestinal decompression therapy, improving the treatment's targeting and effectiveness. This comprehensively addresses the pain points of traditional gastrointestinal decompression therapy, such as insufficient precision, poor safety, cumbersome operation, and difficulty in data traceability. A full-process safety monitoring system is constructed to ensure the safety and reliability of the treatment process. It can precisely maintain the optimal treatment pressure within the gastrointestinal lumen, improve treatment efficacy, and reduce complications. Furthermore, it reduces clinical treatment risks through comprehensive safety monitoring and protection mechanisms. Simultaneously, the visualization operation and data traceability functions simplify clinical operations and improve management efficiency. The device is designed to meet diverse clinical treatment needs, significantly improving the standardization and clinical applicability of gastrointestinal decompression therapy. It features comprehensive visualization capabilities, displaying real-time data such as intraluminal pressure, catheter negative pressure, and fluid level in the septic tank, as well as real-time images from the visual probe. Dynamic curves visually represent the trends in pressure and fluid level, enabling medical staff to quickly and accurately assess patient conditions and device operation. This eliminates the need for cumbersome manual checks and data recording, allowing for full-process traceability of treatment data. This facilitates treatment review, disease analysis, and clinical case management for medical staff, enhancing the standardization and precision of clinical diagnosis and treatment.

[0029] In this embodiment, the pressure acquisition module further includes: The pressure precision correction unit is used for: Real-time collection of ambient atmospheric pressure data, time data, and current altitude data of the equipment; inputting the collected atmospheric pressure data, time data, and current altitude data of the equipment into a preset dynamic atmospheric pressure change model. Based on the dynamic change model of atmospheric pressure, the fluctuation pattern of atmospheric pressure over time and the coefficient of change with altitude under the current environment are obtained, and a real-time atmospheric pressure correction coefficient is generated. The pressure data of the gastrointestinal cavity synchronously collected by pressure sensor 14 is retrieved and weighted with the real-time atmospheric pressure correction coefficient for pressure compensation. The compensated pressure data is then subjected to noise reduction processing to remove interference data generated during the calculation process, and finally the accurately corrected actual pressure data is output.

[0030] In this embodiment, the pressure precision correction unit generates real-time correction coefficients through a preset dynamic pressure change model, effectively avoiding the impact of environmental pressure fluctuations, altitude differences, and interference data on pressure acquisition accuracy, further improving the accuracy and reliability of pressure data. Dynamic pressure compensation can effectively solve the pressure acquisition deviation caused by atmospheric pressure differences in different usage scenarios, ensuring the consistency of pressure data under different environments.

[0031] In this embodiment, the negative pressure control module specifically includes: The pressure calculation unit is used to receive the corrected actual pressure data, calculate the deviation value and deviation change rate between the actual pressure data in the gastrointestinal lumen and the preset target pressure in real time, and construct a pressure dynamic change model based on the change trend of negative pressure in the drainage catheter 11, and obtain the change law of pressure in the gastrointestinal lumen based on the pressure dynamic change model. The negative pressure control unit is used to construct a hierarchical linkage control logic based on the deviation value, the rate of change of deviation and the change law of gastrointestinal pressure. It performs coarse and fine control of negative pressure through solenoid valve 16, and simultaneously matches and adjusts the working power of vacuum pump 12. The verification unit is used to collect the actual negative pressure data of the pipeline after execution in real time, and compare the actual negative pressure data of the pipeline with the preset target pressure for verification. If the verification deviation exceeds the preset deviation threshold, such as ≥0.1kPa, a secondary control command is sent, and the deviation data is recorded and the pressure dynamic change model is optimized to realize the closed-loop verification and algorithm self-optimization of negative pressure control.

[0032] In this embodiment, the negative pressure control unit constructs a hierarchical linkage control logic, specifically including: When the deviation value is greater than the preset fine deviation threshold, a high-priority control command is output to dynamically adjust the opening and closing adjustment rate of the solenoid valve 16, increase the opening and closing adjustment range, and at the same time send a power boost command to the vacuum pump 12 to increase the output power of the vacuum pump, thereby realizing the rapid adjustment of the pipeline negative pressure, pushing the pipeline negative pressure to quickly approach the target pressure, and greatly shortening the control response time. When the deviation value is less than the preset fine deviation threshold, a low-priority control command is output to reduce the opening and closing adjustment rate of the solenoid valve 16 and reduce the adjustment amplitude. At the same time, a power fine-tuning command is sent to the vacuum pump 12 to control the vacuum pump 12 to operate at low power and perform fine power adjustment, so as to achieve precise fine adjustment of pipeline negative pressure and effectively avoid gastrointestinal mucosal damage caused by negative pressure over-adjustment. Real-time data acquisition of solenoid valve 16 opening / closing adjustment, vacuum pump 12 power adjustment, and pipeline negative pressure change is used to construct a correlation model between control parameters and negative pressure changes. This dynamically optimizes the solenoid valve adjustment rate and vacuum pump power adjustment amplitude corresponding to different deviation ranges, achieving self-adaptive optimization of graded linkage control. This ensures both the response speed and accuracy of negative pressure control, while reducing equipment energy consumption, decreasing the start-stop frequency of vacuum pump 12, and extending equipment lifespan.

[0033] In this embodiment, the operating parameters of the solenoid valve 16 and the vacuum pump 12 are dynamically matched through a hierarchical linkage algorithm process, taking into account both the control response speed and accuracy. This effectively avoids the problems of negative pressure over-adjustment damaging the gastrointestinal mucosa or insufficient negative pressure leading to incomplete drainage. It is suitable for the treatment needs of different patients, has strong clinical applicability, and can be widely used in various clinical scenarios of gastrointestinal decompression.

[0034] In this embodiment, the negative pressure control module is equipped with an anti-hysteresis overshoot prediction compensation unit; The actual negative pressure data sequence of the pipeline collected in real time by the verification unit within the preset time window is obtained, and the actual negative pressure data sequence of the pipeline is used as the system driving negative pressure sequence; at the same time, the accurately corrected actual pressure data sequence output by the pressure accuracy correction unit within the preset time window is obtained, and the accurately corrected actual pressure data sequence is used as the terminal real pressure sequence. Based on the system-driven negative pressure sequence, the terminal actual pressure sequence, and the actual pressure change at the current moment, the advanced predicted pressure value is calculated; the calculation formula is as follows: ; In the formula, The value of the advanced predicted pressure; The current moment; For the current moment The latest acquired values ​​in the terminal true pressure sequence; The preset feedforward compensation gain coefficient; The total number of sampled data within the preset time window; This is a positive integer variable representing the sequence number of the sampled data. For the serial number The values ​​in the system-driven negative pressure sequence corresponding to the sampled data; For the serial number The values ​​in the actual end pressure sequence corresponding to the sampled data; The current time Backtracking the preset sampling interval time The corresponding values ​​in the actual end pressure sequence; The preset zero-pressure constant is used to prevent small pressure fluctuations. Finally, based on the calculated advanced predicted pressure value, the predicted deviation value between the advanced predicted pressure value and the preset target pressure is calculated, and the predicted deviation value is used to replace the deviation value and input into the graded linkage control logic. The solenoid valve 16 and the vacuum pump 12 are dynamically adjusted according to the predicted deviation value to prevent negative pressure hysteresis overshoot and physical damage to the gastrointestinal mucosa caused by sudden changes in the fluid resistance inside the drainage tube 11.

[0035] The working principle and beneficial effects of the above technical solution are as follows: In this embodiment, the negative pressure control module is further equipped with a hysteresis overshoot prediction and compensation unit. It is understood that during continuous negative pressure drainage operation for gastrointestinal decompression, the medium flowing inside the drainage conduit 11 typically includes liquid digestive fluids, gaseous substances, and semi-solid chyme residue, constituting a gas-liquid-solid multiphase mixed fluid. When this multiphase mixed fluid is conducted within the drainage conduit 11, its frictional resistance along the flow path exhibits dynamic nonlinear changes due to the combined effects of fluid phase ratio changes, local flow cross-sectional area constraints, and the viscosity characteristics of the conduit wall. Simultaneously, the polymer material wall of the drainage conduit 11 undergoes radial elastic deformation under negative pressure. The aforementioned abrupt change in fluid resistance, coupled with the volumetric effect of pipeline deformation, results in a physical time delay and nonlinear attenuation of pressure amplitude between the dynamic negative pressure applied at the system drive end (including the proximal end where the vacuum pump 12 and solenoid valve 16 are located) and the actual response pressure at the pipeline end (the front end of the drainage conduit 11 that adheres to the gastrointestinal mucosa). When local fluid blockage occurs in the drainage conduit 11, leading to an increase in local impedance, the absolute value change of the terminal response pressure lags behind the adjustment of the negative pressure at the system drive end. If the closed-loop control system continuously increases the output power of the vacuum pump 12 and increases the opening degree of the solenoid valve 16 based on this lag pressure deviation, it will cause the absolute value of the system drive negative pressure at the proximal end of the pipeline to continuously accumulate and rise. When the local blockage state inside the pipeline undergoes conduction displacement due to the negative pressure, the fluid friction resistance suddenly drops, and the previously accumulated drive negative pressure potential energy will be conducted along the drainage conduit 11 to the end of the pipeline, thereby causing the actual pressure at the end of the drainage conduit 11 to momentarily exceed the preset target pressure, forming a negative pressure hysteresis overshoot phenomenon, increasing the forced stress on the target mucosal tissue.

[0036] Specifically, to suppress negative pressure hysteresis overshoot, the anti-hysteresis overshoot prediction and compensation unit employs feedforward compensation control logic based on the coupling characteristics of a dynamic time sliding window sequence and fluid pressure difference. The anti-hysteresis overshoot prediction and compensation unit acquires the actual negative pressure data sequence of the pipeline collected in real time by the verification unit within a preset time sliding window, and uses this sequence as the system driving negative pressure sequence. The system driving negative pressure sequence characterizes the basic driving potential energy state applied by the vacuum generator at the near-end port of the pipeline within the preset time sliding window. Simultaneously, the anti-hysteresis overshoot prediction and compensation unit synchronously acquires the precisely corrected actual pressure data sequence continuously output by the pressure precision correction unit within the preset time sliding window, and uses this precisely corrected actual pressure data sequence as the terminal true pressure sequence. The terminal true pressure sequence characterizes the actual physical dynamic response state of the pressure acting on the terminal monitoring point after being transmitted through the friction damping of the drainage conduit 11. The preset time sliding window performs data envelopment updates based on the system's timed sampling period, maintaining a constant total number of discrete-time sampling points within the window to provide continuous data calculation samples.

[0037] The specific physical definitions and associated configurations of each operational parameter in the above calculation formula are as follows: Forecasting pressure values The dimension is Pascal, and it is the predicted state compensation variable output in the current feedforward operation cycle; variable Represents the current moment, is dimensionless, and serves as the real-time time reference point for the entire feedforward prediction calculation; Current moment Latest acquired values ​​in the end-point true pressure sequence The unit of measurement is Pascal, which serves as the benchmark reference point for feedforward prediction calculations; Preset feedforward compensation gain coefficient , dimensionless, is a static parameter configured within the control model, used to adjust the mapping ratio weight of the compensation increment term; Total number of sampled data within the preset time sliding window , dimensionless, is used to define the sample size range for summation calculation of discrete data sequences; positive integer variables The time sequence number of the sampled data points within the preset time sliding window; The serial number is The values ​​in the system-driven negative pressure sequence corresponding to the sampled data , with the dimension of Pascal, represents the pressure acquisition value at the drive end at a specific sampling moment; The serial number is The numerical values ​​in the terminal true pressure sequence corresponding to the sampled data , with the dimension of Pascal, represents the pressure acquisition value at the response end at a specific sampling time; Current moment Backtracking the preset sampling interval time The corresponding values ​​in the end-point true pressure sequence , with the dimension of Pascal, is used to form the basic historical reference point for difference operations; Preset zero-pressure constant The dimension is Pascal, and it is set in the denominator of the formula to provide a basic dimensional bias to maintain the non-zero operation state of the denominator.

[0038] It is understandable that in the operational logic of the anti-hysteresis overshoot prediction and compensation unit, the pressure value is predicted in advance. The calculation formula consists of the sum of the basic reference term and the dynamic compensation increment term. In the step of calculating the dynamic compensation increment term, the system calculation module uses positive integer variables... The discrete sampling sequence within the preset time sliding window is iterated in an incremental manner, and the sequence number is extracted respectively. The values ​​in the system-driven negative pressure sequence corresponding to the sampled data With the serial number The numerical values ​​in the terminal true pressure sequence corresponding to the sampled data The algebraic difference between the two is calculated and squared. The system calculates the total number of sampled data points within a preset time window. The squared differences are summed and then divided by the total number of sampled data within the preset time window. The average squared pressure difference term is obtained. This average squared pressure difference term quantitatively characterizes the accumulated unreleased pressure difference in the pipeline system within a preset time window due to fluid resistance and local blockage. When fluid throttling or blockage occurs inside the drainage conduit 11, causing an increase in impedance, the overall deviation between the system's driving negative pressure sequence and the actual terminal pressure sequence increases, leading to an increase in the calculated value of this average squared pressure difference term. The system compares this average squared pressure difference term with a preset zero-prevention micro-pressure constant. The terms are summed to form a nonlinear denominator. A preset zero-pressure constant is used. This is used to prevent division overflow errors when the pipeline is unobstructed and the square mean of the pressure difference is close to zero. Because this nonlinear denominator term increases with the accumulation of pressure difference potential energy, the coefficient of the reciprocal product formed by it decreases accordingly.

[0039] Meanwhile, the system's computing module extracts the latest collected values ​​from the current time-end true pressure sequence. With the current moment Backtracking the preset sampling interval time The corresponding values ​​in the end-point true pressure sequence The algebraic difference between the two is calculated to form a difference term. This difference term reflects the transient first-order rate of change of the actual pressure at the end of the drainage conduit 11. When the pipeline blockage is partially cleared and the fluid resistance suddenly drops, the end response pressure changes, and the absolute value of this difference term changes accordingly. The anti-hysteresis overshoot prediction compensation unit will preset the feedforward compensation gain coefficient. The aforementioned reciprocal product coefficients and the difference term are continuously multiplied to generate a dynamic compensation increment. Finally, the system uses the latest collected values ​​from the current time-end true pressure sequence. Add the calculated dynamic compensation increment to output the advanced predicted pressure value. .

[0040] Finally, based on the calculated advanced predicted pressure values The anti-hysteresis overshoot prediction compensation unit calculates the advance prediction pressure value. The system updates the control buffer with the predicted deviation value from the preset target pressure, replacing the real-time measured deviation value of the current cycle, and inputs it into the hierarchical linkage control logic. Based on the predicted deviation value, the hierarchical linkage control logic dynamically adjusts the output parameters of solenoid valve 16 and vacuum pump 12. The specific control execution steps are as follows: when the deviation of the predicted deviation value indicates an overshoot trend at the end of the pipeline, the system outputs a control command based on the predicted deviation value, reducing the opening and closing adjustment rate of solenoid valve 16 to reduce its flow cross-sectional area, and simultaneously reducing the motor drive frequency of vacuum pump 12 to reduce output power.

[0041] Through the above closed-loop control steps, the system pre-attenuates the negative pressure supply flux of the proximal driving source of the pipeline before the actual physical pressure at the end deviates from the preset target pressure, so as to prevent negative pressure hysteresis overshoot and physical damage to the gastrointestinal mucosa caused by sudden changes in the fluid resistance inside the drainage catheter 11.

[0042] In this embodiment, the negative pressure control module is equipped with a fluid hammer oscillation suppression unit; Acquire multiple sets of precisely corrected actual pressure data continuously output by the pressure precision correction unit within a preset high-frequency sampling period; Based on multiple sets of precisely corrected actual pressure data, the high-frequency pressure fluctuation range and pressure fluctuation frequency are calculated. Next, based on the calculated high-frequency pressure fluctuation range and the pressure fluctuation frequency, it is determined whether a fluid hammer oscillation phenomenon occurs inside the drainage conduit 11: when it is determined that the high-frequency pressure fluctuation range is greater than the preset range safety threshold and the pressure fluctuation frequency falls within the preset fluid mechanical resonance frequency band, it is confirmed that the fluid hammer oscillation phenomenon occurs inside the drainage conduit 11. Finally, based on the confirmation of the fluid hammer oscillation phenomenon, the execution of the graded linkage control logic is paused, and the nonlinear flexible damping suppression mode is activated: the opening and closing adjustment rate of the solenoid valve 16 is switched to a preset nonlinear gradual damping constraint curve model, and the action acceleration of the solenoid valve 16 is dynamically limited based on the preset nonlinear gradual damping constraint curve model, using the gradually smooth action cross-sectional area change to absorb the fluid oscillation pulse kinetic energy inside the drainage conduit 11; at the same time, the high-frequency pressure fluctuation range value is repeatedly measured, and after the high-frequency pressure fluctuation range value is continuously lower than the preset stable recovery threshold, the nonlinear flexible damping suppression mode is exited, and the execution of the graded linkage control logic is automatically resumed.

[0043] The working principle and beneficial effects of the above technical solution are as follows: In this embodiment, a fluid hammer oscillation suppression unit is further configured within the negative pressure control module. It is understood that during the continuous operation cycle of the gastrointestinal decompression device performing multiphase mixed fluid drainage, the flow velocity and flow direction vector of the fluid within the closed pipeline change due to transient changes in the fluid phase state inside the drainage conduit 11, local impedance steps, and the operation of the system adjustment components. The transient transformation of incompressible fluid momentum within the finite boundary pipeline system generates pressure shock waves. These pressure pulse waves are propagated and interfered with and reflected between the end of the drainage conduit 11, the negative pressure buffer chamber 13, and the throttling assembly of the solenoid valve 16, forming a fluid hammer oscillation phenomenon within the pipeline. The alternating pressure oscillation pulses apply cyclic mechanical loads to the pipeline components and cause fluctuation interference to the time-domain signal acquisition of the pressure sensor and the steady-state tracking of the negative pressure closed-loop control system.

[0044] Specifically, the fluid hammer oscillation suppression unit is equipped with an independent data processing channel to acquire multiple sets of precisely corrected actual pressure data continuously output by the pressure precision correction unit within a preset high-frequency sampling period. The trigger frequency parameter of the preset high-frequency sampling period is greater than the conventional closed-loop monitoring polling frequency to meet the sampling requirements of transient pressure pulse signal waveforms, acquiring a sequence of discrete pressure data points with continuous time characteristics. Based on these multiple sets of precisely corrected actual pressure data, the fluid hammer oscillation suppression unit calculates the high-frequency pressure fluctuation range and pressure fluctuation frequency. The specific data calculation logic includes: the system uses an extreme value search algorithm to traverse multiple sets of precisely corrected actual pressure data within the preset high-frequency sampling period, extracting the highest pressure peak and the lowest pressure valley in the time series, and calculating the absolute difference between them to generate the high-frequency pressure fluctuation range. This high-frequency pressure fluctuation range quantifies the absolute range of dynamic pressure pulse amplitude variation in the time domain. Simultaneously, the system uses a time-frequency conversion algorithm to process the sequence composed of multiple sets of precisely corrected actual pressure data, extracting the frequency domain component corresponding to the main peak of the signal power spectral density to generate the pressure fluctuation frequency. The frequency of this pressure fluctuation quantifies the periodic cyclic properties of the pressure pulse alternating oscillation in the frequency domain.

[0045] Next, based on the calculated high-frequency pressure fluctuation range and pressure fluctuation frequency, the system comparison module performs condition verification to determine whether fluid hammer oscillation has occurred inside the drainage conduit 11. The specific determination process is as follows: the system compares the high-frequency pressure fluctuation range with a preset range safety threshold; simultaneously, it compares the pressure fluctuation frequency with the upper and lower boundary values ​​of a preset fluid mechanical resonance frequency band. When the determination conditions are simultaneously met—the high-frequency pressure fluctuation range being greater than the preset range safety threshold and the pressure fluctuation frequency falling within the preset fluid mechanical resonance frequency band—the system state machine confirms that fluid hammer oscillation has occurred inside the drainage conduit 11. If the comparison result shows that the high-frequency pressure fluctuation range is greater than the preset range safety threshold but the pressure fluctuation frequency is outside the preset fluid mechanical resonance frequency band, or the pressure fluctuation frequency falls within the frequency band but the high-frequency pressure fluctuation range does not reach the preset range safety threshold, the system determines it as a physical disturbance or background noise that is not a pipe acoustic resonance characteristic and does not trigger a state transition.

[0046] Finally, based on the confirmation of the fluid hammer oscillation phenomenon, the fluid hammer oscillation suppression unit sends a state switching command, suspends the current graded linkage control logic, and activates the nonlinear flexible damping suppression mode. In the nonlinear flexible damping suppression mode, the system resets the control parameters of the electromagnetic drive module, switching the opening and closing adjustment rate of the solenoid valve 16 to a preset nonlinear gradual damping constraint curve model. The preset nonlinear gradual damping constraint curve model consists of a set continuous smooth transition mathematical function. Based on the preset nonlinear gradual damping constraint curve model, the system dynamically limits the action acceleration of the solenoid valve 16. By limiting this action acceleration, when the solenoid valve 16 performs opening and closing regulation, its internal throttling channel exhibits a gradually smoothing change in cross-sectional area. When the fluid in the drainage conduit 11 flows through this gradually smoothing throttling region, the fluid viscous resistance coefficient increases gradually. The system utilizes a gradually smooth change in the cross-sectional area to convert the fluid oscillation pulse kinetic energy inside the drainage conduit 11 into heat dissipation energy from internal fluid friction, thereby absorbing the fluid oscillation pulse kinetic energy inside the drainage conduit 11 and attenuating the transmission and reflection of pressure shock waves within the pipeline system.

[0047] Meanwhile, while maintaining the nonlinear flexible damping suppression mode, the fluid hammer oscillation suppression unit maintains high-frequency acquisition logic, cyclically retesting multiple sets of data and updating the calculated high-frequency pressure fluctuation range. The system continuously compares the cyclically retested high-frequency pressure fluctuation range with the preset stable recovery threshold. Once the comparison logic determines that the updated high-frequency pressure fluctuation range is consistently lower than the preset stable recovery threshold and meets the set stable duration requirement, the system confirms that the fluid pulse kinetic energy inside the pipeline has been completely dissipated. At this point, the system control terminal resets the mode flag, exits the nonlinear flexible damping suppression mode, and automatically resumes the execution of the graded linkage control logic, continuing to execute the closed-loop negative pressure tracking control of the pipeline system based on real-time differential pressure data.

[0048] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback, comprising a gastrointestinal decompression device (1) and an intelligent control component, characterized in that, The gastrointestinal decompression device (1) includes a drainage tube (11), a vacuum pump (12), a negative pressure buffer chamber (13), a pressure sensor (14), and an intelligent control component. The pressure sensor (14) is embedded in the front end of the drainage tube (11) in a ring array. The output end of the vacuum pump (12) is connected to the negative pressure buffer chamber (13) through a solenoid valve (16). One side of the negative pressure buffer chamber (13) is connected to the drainage tube (11) through another solenoid valve (16). The bottom end of the negative pressure buffer chamber (13) is connected to the sludge tank (19) through a drain pipe. The intelligent control component is electrically connected to the pressure sensor (14), the vacuum pump (12), and the solenoid valve (16) respectively. It is used to receive the pressure signal from the pressure sensor (14) and control the operation of the vacuum pump (12) and the solenoid valve (16) to realize intelligent adjustment of negative pressure.

2. The intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback as described in claim 1, characterized in that, A visual probe (17) is provided at the front end of the drainage conduit (11). A filter screen is installed at the connection between the drainage conduit (11) and the negative pressure buffer chamber (13). The negative pressure buffer chamber (13) is a cylindrical sealed structure and has a diversion plate (20) inside. The inner wall of the drainage conduit (11) is provided with uniformly distributed guide grooves (21).

3. The intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback as described in claim 1, characterized in that, The bottom of the liquid collection tank (19) is equipped with a drain outlet and a drain valve. The inner wall of the liquid collection tank (19) is equipped with a liquid level monitoring sensor for real-time monitoring of the liquid storage volume in the tank.

4. The intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback as described in claim 1, characterized in that, The pressure sensor (14) is attached to the gastrointestinal mucosa and is used to simultaneously collect data on absolute pressure, catheter negative pressure and ambient atmospheric pressure at different monitoring points in the gastrointestinal cavity.

5. The intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback as described in claim 1, characterized in that, The solenoid valve (16) consists of two high-precision proportional solenoid valves connected in parallel. They are used to regulate the negative pressure of the drainage conduit (11) and work with the vacuum pump (12) to output linear negative pressure.

6. The intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback as described in claim 1, characterized in that, Intelligent control components, including: The pressure acquisition module is used to synchronously acquire pressure data at different monitoring points in the gastrointestinal cavity through the pressure sensor (14) and preprocess the pressure data. The negative pressure control module is used to acquire pre-processed pressure data, calculate the real-time collected intracavitary pressure value, compare it with the preset target pressure, determine the difference between the intracavitary pressure value and the preset target pressure, and dynamically adjust the output parameters of the vacuum pump (12) and the solenoid valve (16) based on the calculation results. The safety monitoring module is used to monitor the gastrointestinal decompression device (1) for safety. When an abnormality is detected, it will execute an audible and visual alarm and trigger a protection mechanism.

7. The intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback as described in claim 4, characterized in that, The pressure acquisition module also includes: The pressure precision correction unit is used for: Real-time collection of ambient atmospheric pressure data, time data, and current altitude data of the equipment; inputting the collected atmospheric pressure data, time data, and current altitude data of the equipment into a preset dynamic atmospheric pressure change model. Based on the dynamic change model of atmospheric pressure, the fluctuation pattern of atmospheric pressure over time and the coefficient of change with altitude under the current environment are obtained, and a real-time atmospheric pressure correction coefficient is generated. The pressure data of the gastrointestinal cavity collected synchronously by the pressure sensor (14) is retrieved and weighted with the real-time atmospheric pressure correction coefficient to perform air pressure compensation. The pressure data after compensation is then processed to reduce noise, and finally the actual pressure data after accurate correction is output. The negative pressure control module specifically includes: The pressure calculation unit is used to receive the corrected actual pressure data, calculate the deviation value and deviation change rate between the actual pressure data in the gastrointestinal lumen and the preset target pressure in real time, and construct a pressure dynamic change model in combination with the change trend of negative pressure in the drainage catheter (11), and obtain the change law of pressure in the gastrointestinal lumen based on the pressure dynamic change model. The negative pressure control unit is used to construct a hierarchical linkage control logic based on the deviation value, the deviation change rate and the change law of gastrointestinal pressure. It performs coarse and fine control of negative pressure through the solenoid valve (16) and matches and adjusts the working power of the vacuum pump (12). The verification unit is used to collect the actual negative pressure data of the pipeline after execution in real time, and compare the actual negative pressure data of the pipeline with the preset target pressure for verification. If the verification deviation exceeds the preset deviation threshold, a secondary control command is sent, and the deviation data is recorded and the pressure dynamic change model is optimized.

8. The intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback as described in claim 7, characterized in that, The negative pressure control unit constructs a hierarchical linkage control logic, specifically including: When the deviation value is greater than the preset fine deviation threshold, a high priority control command is output to dynamically adjust the opening and closing adjustment rate of the solenoid valve (16), increase the opening and closing adjustment range, and at the same time send a power boost command to the vacuum pump (12) to increase the output power of the vacuum pump (12) and push the pipeline negative pressure to approach the target pressure quickly. When the deviation value is less than the preset fine deviation threshold, a low priority control command is output to reduce the opening and closing adjustment rate of the solenoid valve (16) and reduce the adjustment amplitude. At the same time, a power fine adjustment command is sent to the vacuum pump (12) to control the vacuum pump (12) to run at low power and perform fine power adjustment. Real-time acquisition of solenoid valve (16) opening and closing adjustment data, vacuum pump (12) power adjustment data and pipeline negative pressure real-time change data, constructing a correlation model between control parameters and negative pressure changes, dynamically optimizing the solenoid valve (16) adjustment rate and vacuum pump (12) power adjustment amplitude corresponding to different deviation ranges; The gastrointestinal decompression device (1) also includes real-time display of gastrointestinal pressure, catheter negative pressure, liquid level data in the accumulator (19) and real-time image of the visual probe (17); real-time generation and display of pressure change curves, and dynamic curve visualization of gastrointestinal pressure and catheter negative pressure data corrected by the pressure acquisition module; synchronous display of real-time liquid level data and liquid level change trend in the accumulator (19); and a visual operation interface, through which medical staff can preset target negative pressure, adjust negative pressure control parameters, switch negative pressure control modes, and perform visual query and export of abnormal alarm records, pressure change data and liquid level data.

9. The intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback as described in claim 8, characterized in that, The negative pressure control module is equipped with a hysteresis overshoot prediction and compensation unit. The actual negative pressure data sequence of the pipeline collected in real time by the verification unit within the preset time window is obtained, and the actual negative pressure data sequence of the pipeline is used as the system driving negative pressure sequence; at the same time, the accurately corrected actual pressure data sequence output by the pressure accuracy correction unit within the preset time window is obtained, and the accurately corrected actual pressure data sequence is used as the terminal real pressure sequence. Based on the system-driven negative pressure sequence, the terminal actual pressure sequence, and the actual pressure change at the current moment, the advanced predicted pressure value is calculated; the calculation formula is as follows: ； In the formula, The value of the advanced predicted pressure; The current moment; For the current moment The latest acquired values ​​in the terminal true pressure sequence; The preset feedforward compensation gain coefficient; The total number of sampled data within the preset time window; This is a positive integer variable representing the sequence number of the sampled data. For the serial number The values ​​in the system-driven negative pressure sequence corresponding to the sampled data; For the serial number The values ​​in the actual end pressure sequence corresponding to the sampled data; The current time Backtracking the preset sampling interval time The corresponding values ​​in the actual end pressure sequence; To preset a zero-pressure constant; Finally, based on the calculated advanced predicted pressure value, the predicted deviation value between the advanced predicted pressure value and the preset target pressure is calculated, and the predicted deviation value is used to replace the deviation value and input into the graded linkage control logic. The electromagnetic valve (16) and the vacuum pump (12) are dynamically adjusted according to the predicted deviation value to prevent negative pressure hysteresis overshoot and physical damage to the gastrointestinal mucosa caused by sudden changes in the fluid resistance inside the drainage tube (11).

10. The intelligent gastrointestinal decompression and negative pressure regulation device based on real-time pressure feedback as described in claim 8, characterized in that, The negative pressure control module is equipped with a fluid hammer oscillation suppression unit. Acquire multiple sets of precisely corrected actual pressure data continuously output by the pressure precision correction unit within a preset high-frequency sampling period; Based on multiple sets of precisely corrected actual pressure data, the high-frequency pressure fluctuation range and pressure fluctuation frequency are calculated. Next, based on the calculated high-frequency pressure fluctuation range value and the pressure fluctuation frequency, it is determined whether the fluid hammer oscillation phenomenon occurs inside the drainage conduit (11): when it is determined that the high-frequency pressure fluctuation range value is greater than the preset range safety threshold and the pressure fluctuation frequency falls within the preset fluid mechanical resonance frequency band, it is confirmed that the fluid hammer oscillation phenomenon occurs inside the drainage conduit (11). Finally, based on the confirmation of the fluid hammer oscillation phenomenon, the execution of the graded linkage control logic is suspended, and the nonlinear flexible damping suppression mode is started: the opening and closing adjustment rate of the solenoid valve (16) is switched to the preset nonlinear gradual damping constraint curve model, and the action acceleration of the solenoid valve (16) is dynamically limited based on the preset nonlinear gradual damping constraint curve model, and the fluid oscillation pulse kinetic energy inside the drainage conduit (11) is absorbed by the gradually smooth action cross-sectional area change. Simultaneously, the high-frequency pressure fluctuation range value is repeatedly measured. Once the high-frequency pressure fluctuation range value is continuously lower than the preset stable recovery threshold, the nonlinear flexible damping suppression mode is exited, and the graded linkage control logic is automatically resumed.

Images