Medical drainage anti-wall-sticking early warning method and system based on fluid mechanics characteristics

Abstract

The present application belongs to the technical field of data processing, and particularly relates to a medical drainage anti-wall-sticking early warning method and system based on fluid mechanics characteristics, which comprises the following steps: acquiring a liquid accumulation rate, a generation rate standard deviation and a current elapsed time according to drainage log data, and acquiring an initial load risk in combination with a maximum cavity capacity; acquiring a predicted accumulated liquid volume according to the liquid accumulation rate and the current elapsed time, and acquiring a safety reference flow rate in combination with an accumulated discharged liquid volume and the initial load risk; acquiring an actual drainage flow rate according to a window period liquid discharge volume, and acquiring a safety compensation flow rate in combination with an actual flow cross section and the safety reference flow rate; acquiring a tentative characteristic index according to the actual drainage flow rate, the safety compensation flow rate and a current characteristic index, acquiring a target characteristic index through truncation limitation, and comparing the target characteristic index with a historical early warning threshold to trigger an anti-wall-sticking early warning signal. According to the initial load risk and the safety compensation flow rate, the present application improves the early warning accuracy and safety of a drainage cycle.

Description

Technical Field

[0001] This invention relates to the field of data processing technology. More specifically, this invention relates to a medical drainage anti-adhesion early warning method and system based on hydrodynamic characteristics. Background Technology

[0002] In the clinical care and rehabilitation of body fluid cavities, especially in scenarios such as neurogenic bladder catheterization that adapts to changes in bladder capacity, safe monitoring of drainage status is a core aspect of ensuring patient health. Its main task is to safely and steadily monitor the fluid accumulation within the cavity, effectively relieving intracavitary pressure while maintaining pressure stability, and preventing tissue damage and related complications caused by sudden changes in internal pressure or abnormal drainage.

[0003] Existing conventional drainage methods typically use fixed pipelines or fixed-capacity drainage, lacking dynamic data feedback, and are essentially blind drainage. The flow rate of this passive drainage is completely controlled by the natural decay of the pressure difference within the cavity. The system cannot predict the trend of fluid changes in advance, which makes it very easy to over-drain the residual liquid in the cavity at the end of the drainage process.

[0004] Furthermore, during actual drainage, the true volume of fluid inside the cavity cannot be directly obtained by external equipment. Traditional methods rely on percussion by medical staff or subjective recording by the patient, which has limitations such as low measurement accuracy, data lag, and inability to provide real-time continuous monitoring. Due to the lack of in-depth analysis of fluid characteristics, traditional monitoring methods cannot accurately determine the true filling state of the cavity. When the cavity is extremely full, if the system fails to promptly warn of abnormally high flow rates, it can easily lead to a sudden drop in internal pressure, thereby causing decompression syndrome or damage such as mucosal adhesion at the tube opening. Summary of the Invention

[0005] To address the technical problems of conventional drainage flow rate control methods failing to accurately determine the filling state and causing initial urination injury, and lacking compliance feedback leading to local negative pressure and low drainage efficiency in the mid-to-late stages, this invention provides solutions in the following aspects.

[0006] In a first aspect, the present invention provides a medical drainage anti-adhesion early warning method based on hydrodynamic characteristics, comprising: obtaining the fluid accumulation rate, the standard deviation of the accumulation rate and the current elapsed time based on drainage log data; calculating the product of the fluid accumulation rate and the current elapsed time to obtain the predicted accumulation volume; The initial load risk is obtained by combining the maximum cavity capacity, predicted accumulated liquid volume, standard deviation of accumulation rate, and current elapsed time; the cumulative discharged liquid volume is obtained, and the safe reference flow rate is calculated using the maximum cavity capacity, cumulative discharged liquid volume, initial load risk, predicted accumulated liquid volume, and maximum flow rate of the equipment; the actual flow cross section at the current moment is read and the window period duration is obtained, and the window period discharge volume within the window period is obtained by the difference between the cumulative discharged liquid volume before and after the window period duration; the window period discharge volume, safe reference flow rate, and actual flow cross section are integrated to obtain the safe compensation flow rate, and the actual drainage flow rate is obtained based on the window period discharge volume and window period duration; the historical characteristic index of the previous calculation period is read as the current characteristic index, and a provisional characteristic index is established by combining the actual drainage flow rate, safe compensation flow rate, and current characteristic index; the provisional characteristic index is truncated and restricted by boundary conditions to generate the target characteristic index, and the target characteristic index is compared with the historical warning threshold constructed based on historical characteristic data to generate a target alarm command to trigger the anti-wall adhesion warning signal.

[0007] Preferably, the step of obtaining the initial load risk by combining the maximum cavity capacity, the predicted accumulated liquid volume, the standard deviation of the accumulation rate, and the current elapsed time includes: using the predicted accumulated liquid volume as the baseline for the total accumulated liquid volume; using the product of the standard deviation of the accumulation rate and the current elapsed time as the dynamic fluctuation redundancy; using the difference between the maximum cavity capacity and the dynamic fluctuation redundancy as the safe remaining capacity limit; and dividing the baseline for the total accumulated liquid volume by the safe remaining capacity limit to obtain the initial load risk.

[0008] Preferably, the step of obtaining the cumulative discharged liquid volume through a flow meter and obtaining a safe reference flow rate based on the maximum cavity capacity, cumulative discharged liquid volume, initial load risk, predicted accumulated liquid volume, and maximum equipment flow rate includes: calculating the difference between the maximum cavity capacity and the cumulative discharged liquid volume to obtain a first difference value; adding the value 1 to the initial load risk to obtain a first sum value; multiplying the maximum cavity capacity by the first sum value to obtain a first product; dividing the first difference value by the first product to obtain an initial pressure stabilization attenuation factor; calculating the sum of the predicted accumulated liquid volume and a preset minimum constant to obtain a second sum value; subtracting the cumulative discharged liquid volume from the second sum value to obtain the actual residual liquid volume; dividing the actual residual liquid volume by the second sum value to obtain a final anti-wall adhesion attenuation factor; and multiplying the maximum equipment flow rate, the initial pressure stabilization attenuation factor, and the final anti-wall adhesion attenuation factor to obtain a safe reference flow rate.

[0009] Preferably, the method of obtaining the safety compensation flow rate by integrating the liquid output during the fusion window period, the safety reference flow rate, and the actual flow cross-section includes: multiplying the window period duration, the preset comprehensive flow coefficient, and the actual flow cross-section to obtain a second product, and adding the second product to a preset smoothing constant to calculate the ideal liquid output; dividing the liquid output during the window period by the ideal liquid output to calculate the wall physical compliance deviation ratio; and multiplying the safety reference flow rate by the wall physical compliance deviation ratio to obtain the safety compensation flow rate.

[0010] Preferably, the step of taking the historical characteristic index of the previous calculation period as the current characteristic index, and establishing a provisional characteristic index by combining the actual drainage flow rate, the safety compensation flow rate, and the current characteristic index, includes: obtaining the actual drainage flow rate based on the fluid output during the current window period; calculating the difference between the safety compensation flow rate and the actual drainage flow rate, and dividing it by the actual drainage flow rate with an added preset obstruction limiting constant to obtain the relative deviation of the flow rate; multiplying the relative deviation of the flow rate by a preset adjustment gain constant, adding it to the value 1, and then multiplying it by the current characteristic index to calculate the provisional characteristic index.

[0011] Preferably, before comparing the target feature index with the historical warning threshold constructed based on historical feature data, the method further includes a step of obtaining the historical warning threshold, including: extracting all target feature indices recorded within the most recent preset number of historical safe diversion cycles; calculating the arithmetic mean of all target feature indices to obtain the historical index mean, and calculating the standard deviation of all target feature indices relative to the historical index mean to obtain the index standard deviation; multiplying the index standard deviation by a preset warning sensitivity factor to obtain a fault tolerance margin, and adding the fault tolerance margin to the historical index mean to calculate the historical warning threshold.

[0012] Secondly, this invention provides a medical drainage anti-adhesion early warning system based on fluid dynamics characteristics, comprising: a predicted accumulation calculation module, used to obtain the fluid accumulation rate and the current elapsed time based on drainage log data, and calculate the product of the fluid accumulation rate and the current elapsed time to obtain the predicted accumulated fluid volume; an initial risk assessment module, used to obtain the standard deviation of the accumulation rate and the current elapsed time based on drainage log data, and combine the maximum cavity capacity, the predicted accumulated fluid volume, the standard deviation of the accumulation rate, and the current elapsed time to obtain the initial load risk; a baseline flow rate estimation module, used to obtain the cumulative discharged fluid volume, and use the maximum cavity capacity, the cumulative discharged fluid volume, the initial load risk, the predicted accumulated fluid volume, and the maximum flow rate of the equipment to estimate the safe baseline flow rate; and a window data acquisition module, used to read the actual flow cross section at the current moment and obtain... The system employs several methods: a window period duration is determined, and the cumulative discharge volume before and after the window period is used to obtain the discharge volume within that window period; a flow rate deviation extraction module is used to integrate the discharge volume during the window period, the safety baseline flow rate, and the actual flow cross-section to obtain the safety compensation flow rate; and the actual drainage flow rate is obtained based on the discharge volume and duration of the window period; a feature index derivation module is used to read the historical feature index from the previous calculation cycle as the current feature index, and establish a provisional feature index by combining the actual drainage flow rate, the safety compensation flow rate, and the current feature index; and a monitoring and early warning generation module is used to truncate and restrict the provisional feature index to generate a target feature index, and compare the target feature index with the historical early warning threshold constructed based on historical feature data to generate a target alarm command to trigger an anti-wall adhesion early warning signal.

[0013] Preferably, the monitoring and early warning generation module includes: a boundary condition truncation and restriction submodule, used to call preset maximum risk limits and minimum risk limits to truncate and restrict provisional characteristic indices to generate target characteristic indices; a historical threshold construction submodule, used to extract all target characteristic indices recorded within the most recent preset number of historical safe diversion cycles, calculate the arithmetic mean of all target characteristic indices to obtain the historical index mean, and calculate the standard deviation of all target characteristic indices relative to the historical index mean to obtain the index standard deviation, then multiply the index standard deviation by a preset early warning sensitivity factor to obtain the fault tolerance margin, and add the fault tolerance margin to the historical index mean to calculate the historical early warning threshold; and an early warning signal triggering submodule, used to send a target alarm command to the early warning circuit of an external alarm device to trigger the audible and visual prompt of the anti-wall-sticking early warning signal when the target characteristic index is greater than or equal to the historical early warning threshold.

[0014] Preferably, the initial risk assessment module includes: a total volume baseline determination submodule, used to use the predicted accumulated liquid volume as the cumulative accumulated liquid total volume baseline; a fluctuation redundancy calculation submodule, used to use the product of the accumulation rate standard deviation and the current elapsed time as the dynamic fluctuation redundancy; a safe remaining capacity assessment submodule, used to use the difference between the maximum cavity capacity and the dynamic fluctuation redundancy as the safe remaining capacity limit; and an initial load risk calculation submodule, used to divide the cumulative accumulated liquid total volume baseline by the safe remaining capacity limit to obtain the initial load risk.

[0015] Preferably, the early warning system may further include a control module, specifically including: a control command conversion submodule, used to convert the target characteristic index at the current moment into a safety defense line blocking command when the monitoring and early warning generation module triggers the anti-wall-attaching early warning signal, and convert the safety defense line blocking command into a digital control electrical signal through a signal conversion unit; a physical cross-section adjustment submodule, used to send the digital control electrical signal to the physical measurement and control valve, and dynamically adjust the actual flow cross-section by driving the physical measurement and control valve to act; and a flow velocity forced matching submodule, used to adjust the actual drainage flow velocity in conjunction with the triggering of the anti-wall-attaching early warning signal based on the change of the actual flow cross-section, so as to match the safety compensation flow velocity, and complete the physical closed-loop linkage adjustment of adaptive safety obstacle removal for the drainage working condition.

[0016] The beneficial effects of this invention are as follows: This invention constructs initial load risk by extracting drainage log features, measuring the theoretical saturation of the fluid volume in the cavity before drainage begins and the redundancy of the fluid production rate fluctuation, reducing the state judgment bias caused by the discontinuity of traditional percussion; it plans a safe baseline flow rate based on the cumulative drainage volume, measuring the evolution trend of residual fluid in the cavity during the drainage process, and establishing a dual monitoring and early warning baseline for initial sudden drop and final wall adhesion prevention; it dynamically generates a safe compensation flow rate using the ratio of actual to ideal drainage volume during the window period, measuring the wall physical compliance deviation between drainage capacity and fluid dynamics state, overcoming the interference of negative pressure suction misjudgment caused by cavity retraction hysteresis; it performs step-by-step assessment of early warning levels based on the relative deviation of flow rate and determines the target feature index in conjunction with risk boundary truncation limits, considering the upper limit of the system's extremely high risk judgment and the calculation overflow boundary, preventing early warning signal oscillation and false alarms caused by the sudden opening of the pipeline's ultimate obstruction, and optimizing the dynamic adaptive monitoring capability throughout the entire drainage cycle. Attached Figure Description

[0017] Figure 1 This is a flowchart of a medical drainage anti-adhesion early warning method based on fluid dynamics characteristics;

[0018] Figure 2 This is a comparison chart of the actual drainage flow rate of existing technologies and the present invention during the drainage process;

[0019] Figure 3This is a comparison chart of the changes in residual fluid volume in the cavity during the drainage process between existing technologies and the present invention;

[0020] Figure 4 This is a functional module diagram of a medical drainage anti-adhesion early warning system based on fluid dynamics characteristics. Detailed Implementation

[0021] 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, not all, of the embodiments of the present invention. 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.

[0022] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0023] This invention discloses a medical drainage anti-adhesion early warning method based on hydrodynamic characteristics, referring to... Figure 1 This includes steps S1-S4:

[0024] S1. Obtain routine drainage log data, extract the liquid accumulation rate and current elapsed time, and calculate the initial load risk in combination with the maximum cavity capacity.

[0025] It should be noted that the amount of fluid inside the drainage cavity during drainage cannot be directly obtained by external equipment. Furthermore, percussion by medical staff or subjective recording by the patient has significant measurement errors and physical limitations, such as the inability to monitor continuously in real time. This leads to conventional drainage flow rate control methods being unable to accurately determine the true filling state of the drainage cavity. Consequently, when the cavity is highly filled, the initial rapid drainage can cause a sudden drop in internal pressure, resulting in decompression syndrome or misdiagnosis and missed diagnosis of damage such as mucosal bleeding at the tube orifice. Therefore, this invention uses the initial load risk to measure the degree of fluid filling in the drainage cavity at the current drainage moment, providing a basis for determining the specific actions to limit the flow rate in the initial stage.

[0026] Specifically, the drainage log data of the source cavity within a set time period is obtained, the total drainage volume and corresponding liquid storage time of each drainage cycle are extracted, the total drainage volume of each drainage cycle is divided by the corresponding liquid storage time, and the single generation rate of each drainage cycle is calculated.

[0027] It should be noted that the single generation rate represents the average rate of increase in the fluid accumulated inside the source during two consecutive drainage operations.

[0028] Furthermore, the arithmetic mean of all single generation rates within the set time period is calculated to obtain the liquid accumulation rate of the source cavity;

[0029] Calculate the root mean square deviation of the generation rate relative to the liquid accumulation rate for all single generation rates to obtain the standard deviation of the generation rate of the source cavity;

[0030] The timer is read to obtain the current elapsed time since the last drainage. Based on the fluid accumulation rate and generation rate standard deviation of the source cavity and the current elapsed time, combined with the maximum cavity capacity previously clinically diagnosed in the source cavity, the initial load risk at the current moment is calculated.

[0031] Furthermore, when encountering situations such as initial consultation or missing historical drainage logs, the system automatically calls the preset default generation rate and corresponding default standard deviation for replacement. If the maximum cavity capacity diagnostic record is missing, the preset capacity default value is called synchronously to ensure the fault tolerance of the initial startup of all parameters. The initial startup means the first data-free operation state when there is a lack of historical operation data or previous diagnostic records of the source cavity.

[0032] Specifically, the initial load risk satisfies the expression:

[0033] ;

[0034] In the formula, The initial load risk at time t, The liquid accumulation rate of the source cavity, Let t be the current elapsed time. The maximum cavity capacity of the source cavity. The standard deviation of the generation rate of the source cavity.

[0035] It should be added that, It is the product of the current elapsed time and the liquid accumulation rate of the source cavity, which represents the predicted accumulation volume. The dynamic fluctuation redundancy required due to fluid production fluctuations within the current elapsed time of the current moment t; The invention characterizes the safe remaining capacity limit that the source cavity can withstand at the current moment after deducting the dynamic fluctuation redundancy. The invention uses the division of the total accumulated liquid volume and the safe remaining capacity limit as two parameters to measure the initial load risk at the current moment.

[0036] in, The larger the value, the larger the average volume of liquid accumulated in the cavity per unit time at the source end, making... As the value increases, it makes... The higher the velocity, the more likely it is to achieve the goal of tightening flow rate limits in advance and avoiding the risk of pressure leakage; The smaller the value, the smaller the average volume of liquid accumulated in the cavity per unit time at the source end, making... As the value decreases, it makes... The lower the value, the more likely it is to maintain the normal drainage flow rate.

[0037] The larger the value, the longer the current elapsed time, making... The more the value increases, and the more it makes... The amount deducted from Increase in size to decrease in size The combined effect of both makes the current moment The higher the velocity, the more likely it is to forcefully reduce the initial flow rate of the discharged liquid; The smaller the value, the shorter the elapsed time at the current moment t, making... As the value decreases, it makes... The lower the value, the more likely it is to shorten the time required for lead generation.

[0038] The larger the value, the higher the maximum safe physical volume threshold for preventing excessive expansion of the source cavity, making... The larger the value, the stronger the tolerance of the source cavity, thus more likely to achieve the goal of releasing more basic flow velocity space; The smaller the value, the lower the maximum safe physical volume threshold for preventing excessive expansion of the source cavity, thus making... The smaller the value, the weaker the tolerance of the source cavity, thus making it more likely to achieve the goal of tightening the flow safety red line.

[0039] The larger the value, the higher the statistical fluctuation of the liquid production rate in the source cavity during the sampling period, making... The amount deducted from As the value increases, the entire Reduce, and thus make The larger the value, the more it tends to achieve the purpose of amplifying safety protection; The smaller the value, the lower the statistical fluctuation of the liquid production rate in the source cavity during the sampling period, making it easier to... The amount deducted from The more the value decreases, the more the entire The value increases monotonically, thus tending to reduce unnecessary speed limits.

[0040] It should be noted that, in order to prevent extremely long liquid storage times from causing... If a value of zero or negative is found, a non-negative lower limit is set for that item. When the item approaches zero, the preset maximum initial load risk alarm value is directly output.

[0041] For example, the default generation rate determines the initial starting benchmark for the system to assess the rate of fluid accumulation inside the source cavity when the patient is first seen or when historical drainage logs are missing. The empirical range is [0.01, 0.05] ml / s, and in this embodiment, it is set to 0.02 ml / s. Implementers can set the default generation rate according to the patient's pathological type and the degree of fluid secretion. When facing acute exudative lesions with high-frequency fluid production, the default generation rate can be appropriately increased to prevent the system from underestimating the accumulation volume and causing safety risks. When the patient is in the recovery period or when glandular atrophy leads to slow fluid production, the default generation rate can be appropriately decreased to prevent the system from excessively suppressing the initial flow rate.

[0042] For example, the default standard deviation determines the initial deviation range for measuring the redundancy of dynamic fluctuations in the fluid production rate of the source cavity when historical drainage logs are lacking. An empirically chosen range is [0.001, 0.01] ml / s, and in this embodiment, it is set to 0.002 ml / s. Implementers can set the default standard deviation based on the stability of the patient's clinical presentation. When the physiological environment inside the source cavity is unstable and the fluid production fluctuates, the default standard deviation can be appropriately increased to amplify safety protection; when the patient is in a stable period and fluid secretion is regular, the default standard deviation can be appropriately decreased to reduce unnecessary volume restrictions.

[0043] For example, the default capacity determines the basic physical safety volume for ensuring the initial startup tolerance of the system in the absence of previous medical imaging diagnostic records. The empirical range is [200, 600] ml, and in this embodiment, it is set to 400 ml. Implementers can set the default capacity based on the patient's age and physical characteristics. When the patient is a child or has severe organ atrophy, the default capacity can be appropriately reduced to tighten the flow safety limit and prevent excessive expansion damage; when the patient is large or has excellent organ elasticity, the default capacity can be appropriately increased to release more space for the basic drainage flow rate.

[0044] For example, the maximum initial load risk alarm value determines the upper limit of the system's suppression of the cavity filling and high tension state during the initial drainage initiation. It also serves as a mandatory defense against the collapse of the volume limit calculation due to excessively long fluid retention time. The empirically chosen value range is [8.0, 15.0], and in this embodiment, it is set to 10.0. Implementers can set this value based on the patient's mucosal fragility and the predicted current internal pressure. When the patient has a history of mucosal damage, the maximum initial load risk alarm value can be appropriately lowered to prematurely trigger the mandatory deceleration threshold, ensuring stable initial pressure relief. When the patient urgently needs relief from tissue compression, the maximum initial load risk alarm value can be appropriately increased to release the initial flow rate and shorten the patient's suffering time.

[0045] S2. Calculate the predicted accumulated liquid volume at the current moment, collect the cumulative discharged liquid volume from the external flow meter, and calculate the safety reference flow rate based on the initial load risk.

[0046] It should be noted that the internal pressure of the source cavity under depressurization conditions is positively correlated with the residual liquid volume. However, conventional constant low-flow-rate drainage results in an excessively long drainage process, increasing the risk of pipeline backflow and exposure. This limitation means that conventional control methods, unable to match the cavity retraction process, are prone to low drainage efficiency in the later stages of drainage. Therefore, this invention measures the theoretically safe drainage speed in the drainage process using a safety benchmark flow rate, providing a basis for determining the specific actions of subsequent flow rate adaptive correction.

[0047] Specifically, the product of the liquid accumulation rate of the source cavity and the current elapsed time is defined as the predicted liquid accumulation volume at the current moment.

[0048] It should be noted that the predicted accumulated liquid volume represents the theoretical accumulated liquid volume at the current moment that has not yet been discharged from the source, calculated based on historical liquid production rates.

[0049] Furthermore, an external flow meter is installed in the external pipeline of the drainage tube to obtain the cumulative amount of liquid discharged since the start of drainage in real time. Combined with the initial load risk and the maximum flow rate of the equipment at the current moment, the safe reference flow rate at the current moment is calculated.

[0050] It should be noted that the safe reference flow rate represents the theoretical safe drainage rate planned based solely on the current residual liquid volume, without considering changes in wall elasticity.

[0051] Specifically, the safety reference flow rate satisfies the expression:

[0052] ;

[0053] In the formula, Let t be the safe reference flow velocity. The maximum flow rate of the equipment. The maximum cavity capacity of the source cavity. The predicted volume of accumulated liquid at time t. Let be the cumulative amount of liquid discharged at time t. The initial load risk at time t, It is a very small constant.

[0054] It should be added that, Characterizes the initial voltage stabilization attenuation factor; This characterizes the safety buffer margin that the cavity retains relative to its maximum capacity after deducting the cumulative amount of liquid discharged at the current moment. The safe volume reference limit is characterized after the initial load risk amplification correction at the current moment; dividing these two items aims to solve the problem of the high tension state of the cavity being extremely full in the early stage of drainage, and to prevent the cavity pressure from dropping sharply and local negative pressure adsorption caused by sudden emptying.

[0055] in, The larger the value, the higher the eigenvalue indicating that the cavity filling state at the current time t is approaching the pathological risk threshold. The more the value increases, the more the current moment's... As a result of suppression, the goal of reducing the depressurization rate of high-risk source cavity throughout the entire process is increasingly achieved; The smaller the value, the lower the initial load risk at the current moment. The more it can converge to This, in turn, tends to reduce unnecessary speed limits.

[0056] The larger the value, the greater the total volume of fluid that has been expelled from the body since the start of drainage until the current moment, making... Decrease, and synchronized make Decrease, the double diminishing effect makes The flow gradually decreases and slows down in the middle and later stages of drainage, thus achieving the goal of effectively inhibiting negative pressure adsorption and protecting the mucosa at the end of the drainage period. The smaller the value, the less fluid has been discharged at the current time t. At the instant the drainage tube is opened... Approaching In itself, making Control is constrained by the initial load risk limit, thereby increasing the likelihood of preventing tissue damage from excessively rapid initial fluid release.

[0057] Additionally, it should be noted that... Characterizes the attenuation factor of anti-wall adhesion in the final stage; The actual residual liquid volume is calculated based on the predicted accumulated liquid volume and the cumulative discharged liquid volume at the current moment; The predicted total accumulated liquid volume benchmark after characterizing the fusion of the preset minimum constant is divided by these two terms to solve the local negative pressure problem caused by the depletion of residual liquid in the cavity at the end of the drainage process, and to prevent the cavity wall from collapsing and being strongly adsorbed by the liquid suction hole of the drainage tube. As the emptying process comes to an end, the anti-wall attenuation factor at the end of the process shows a smooth attenuation, driving the drainage flow rate to drop in advance, and finally finishing with a small underflow, simulating the natural attenuation characteristics at the end of the cavity drainage process.

[0058] in, The larger the value, the greater the calculated total volume of fluid accumulated in the cavity before the formal start of drainage, which is beneficial in the first half of the drainage process. The higher the level, the better the efficiency of traffic acquisition in the middle stage, thus achieving the goal of shortening the overall traffic acquisition time. The smaller the value, the less the predicted volume of accumulated liquid at the current time t, making... The flow rate decreases, thus gradually slowing down at lower volumes. This invention utilizes the maximum flow rate of the pipeline to continuously multiply the initial pressure-stabilizing attenuation factor and the final anti-wall-adhesion attenuation factor. This is equivalent to connecting two dynamic physiological thresholds—one for preventing sudden high-pressure drops and the other for preventing low-pressure adsorption—in series on top of the maximum physical flow capacity, thereby achieving safe flow rate throughout the entire drainage cycle.

[0059] In this embodiment, the preset minimum constant Set to 0.5 ml, maximum flow rate of the device. Set to 10 ml / s, the implementer can adjust the preset minimum constant and the maximum flow rate of the equipment according to the actual situation.

[0060] It should be further explained that, to prevent extreme conditions where the cumulative discharged liquid volume approaches or exceeds the maximum cavity capacity and the predicted accumulated liquid volume due to high expansion of the source-end cavity or underestimation of the predicted accumulated liquid volume, when the cumulative discharged liquid volume approaches the corresponding upper limit value, the volume differences are forcibly locked to non-negative values, ensuring that the safety reference flow rate is safely zero or relies solely on the positive minimum constant. Maintain a small underflow to prevent the valve from closing accidentally due to a reversal of the command.

[0061] S3. Collect the liquid output during the window period of the external flow meter, read the actual flow cross section of the drainage pipeline monitoring and control device, and generate a safety compensation flow rate by combining the safety reference flow rate.

[0062] It should be noted that the physical elasticity of different source-end cavities varies under drainage conditions. Some lesions cause the cavity volume to not effectively retract synchronously with fluid reduction, a physical limitation that leads to the negative consequence of localized negative pressure at the end of the pipeline when wall retraction lags due to a lack of compliance feedback. This can result in negative pressure adsorption of mucosal tissue. Therefore, this invention measures the safe drainage speed after correction of the source-end cavity's physical elasticity state through a safety compensation flow rate, providing a basis for mapping specific actions in the subsequent early warning response command.

[0063] It should be noted that compliance refers to the physical adjustment ability of the cavity wall to passively expand and actively contract when the amount of fluid inside changes.

[0064] Specifically, the actual flow cross section at the current moment is read and the window period duration is obtained. The liquid output during the window period within the set window period duration is obtained based on the difference between the cumulative discharge volume of the flow meter before and after the set window period duration. The actual flow cross section at the current moment is obtained by reading the feedback data from the displacement sensor built into the drainage pipeline monitoring and control device.

[0065] It should be noted that the actual flow cross-section represents the size of the effective physical channel through which the liquid can flow at the current moment, as indicated by the drainage pipeline monitoring and control device.

[0066] Furthermore, after multiplying the actual flow cross-section by the preset comprehensive flow coefficient to form the theoretical flow velocity, multiplying it by the window period length yields the ideal liquid output under the current system channel.

[0067] It should be further explained that the ideal discharge volume represents the total physical quantity of liquid that should theoretically flow out within a set time period under the current actual opening size of the valve and the ideal fluid dynamics state; the comprehensive flow coefficient characterizes the physical discharge flow rate characteristics that the throttle valve can allow per unit flow cross-sectional area under a specific pressure difference.

[0068] Furthermore, based on the current window period outflow, safety baseline flow rate, and actual flow cross-section, combined with the preset window period length and comprehensive flow coefficient, the safety compensation flow rate for the current moment is obtained.

[0069] Specifically, the safety compensation flow rate satisfies the expression:

[0070] ;

[0071] In the formula, For the safety compensation flow rate at time t, Let t be the safe reference flow velocity. Let be the liquid output during the window period at time t. The length of the window period. For the overall flow coefficient, The actual flow cross section at time t. This is the smoothing constant.

[0072] It should be added that, This concept represents the theoretical volume of liquid that should be discharged within a set window period under the current actual valve opening size and ideal hydrodynamic conditions, i.e., the ideal discharge rate. Its construction principle is as follows: multiply the preset comprehensive flow coefficient by the actual flow cross-section at the current moment to obtain the theoretical instantaneous volumetric flow rate, and then multiply this by the preset window period length to obtain the ideal discharge rate. Dividing the current window period discharge rate by the ideal discharge rate represents the wall physical compliance deviation ratio between the actual drainage capacity and the ideal theoretical drainage capacity. This invention utilizes this wall physical compliance deviation ratio to dynamically compensate for the current safe reference flow velocity.

[0073] in, The larger the value, the faster the theoretically safe drainage rate calculated based on the current residual liquid volume, making it possible to... The same direction of improvement will lead to a greater likelihood of achieving the goal of ensuring basic venting efficiency; The smaller the value, the slower the theoretically safe drainage rate calculated based on the current residual liquid volume, making it... The flow rate decreases in the same direction, thus becoming more and more likely to achieve the goal of maintaining safe flow control at the end of the period.

[0074] The larger the value, the greater the total volume of liquid actually flowing out within the set window period, which, under a given physical channel, makes... The closer to or beyond This indicates that the physical retraction driving force of the source cavity itself is strong, making The higher the rate, the more likely it is to achieve the goal of allowing for adaptive release of higher drainage rates; The smaller the value, the less the total volume of liquid actually flows out within the set window period, resulting in... Pipeline lags behind This indicates that the physical compliance of the source cavity wall is weak and the cavity retraction is hindered, making... The reduction in pressure helps to achieve the goal of limiting speed and reducing pressure, and avoiding local negative pressure adsorption within the cavity.

[0075] The larger the cross-sectional area of ​​the drainage pipe monitoring and control device for external control of the pipe's on / off state, the greater the flow cross-sectional area, indicating a decrease in the physical compliance of the source end cavity wall, thus tending to reduce... Purpose; The smaller the value, the smaller the flow cross-sectional area of ​​the external control pipeline monitoring and control device, which controls the flow of the drainage pipeline. An increase indicates that the physical channel is not mechanically obstructed, thus becoming more likely to achieve the intended drainage rate.

[0076] In this embodiment, the preset window length is set to 0.5 seconds, the comprehensive flow coefficient is set to 12.4 cm / s, and the smoothing constant is set to 0.005 ml. The implementer can adjust the preset window length and smoothing constant according to the actual situation.

[0077] For example, the window period length determines the time span for the system to collect cumulative drainage volume and actual flow cross-section data to calculate wall compliance deviation. The empirical range is [0.1, 2.0] seconds, and in this embodiment, it is set to 0.5 seconds. Implementers can set the window period length based on system computing power and pipeline flow stability. When the drainage fluid contains fine flocculent matter and high-frequency obstruction characteristics need to be captured, the window period length can be appropriately reduced to increase the sampling frequency; when the drainage flow rate exhibits physiological pulsations and noise interference needs to be filtered, the window period length can be appropriately increased to smooth instantaneous flow rate fluctuations.

[0078] For example, the overall flow coefficient determines the theoretical fluid throughput per unit flow cross-sectional area of ​​the diversion throttle valve under a specific natural pressure difference, with an empirical range of [8.0, 15.0] cm / s. In this embodiment, it is set to 12.4 cm / s. The implementer can set the overall flow coefficient according to the actual viscosity of the diverting fluid. When the diverting fluid is thin and has good fluidity, the overall flow coefficient can be appropriately increased to match its efficient flow properties; when the diverting fluid is relatively viscous or the frictional resistance of the pipeline inner wall is large, the overall flow coefficient can be appropriately decreased to correct the system's overly high expectation of the ideal output volume.

[0079] For example, the smoothing constant determines the redundant boundary that prevents the compliance deviation ratio from overflowing when calculating the ideal output volume, as the theoretical denominator approaches zero. Empirically, its range is [0.001, 0.01] ml, and in this embodiment, it is set to 0.005 ml. Implementers can set the smoothing constant according to the accuracy of the displacement sensor. When using a high-precision sensor with extremely low background noise, the smoothing constant can be appropriately reduced to reproduce the true minute flow regime changes; when the equipment's operating environment experiences significant vibration interference and the sensor exhibits reading drift, the smoothing constant can be appropriately increased to shield against computational divergence caused by underlying data jitter.

[0080] S4. The relative deviation of the flow rate is calculated by integrating the safety compensation flow rate and the actual drainage flow rate, and the current characteristic index is incrementally updated to generate the actuator drive signal.

[0081] It should be noted that the safety compensation flow rate output by the control algorithm is a digital control quantity, while the drainage pipeline monitoring and control device requires a clear monitoring baseline command. Single-step direct multiplication and division mapping can easily lead to numerical overflow and computational stagnation of the control quantity under extreme mechanical obstruction conditions. This limitation causes conventional monitoring methods to over-amplify the warning threshold when facing pipeline blockage, resulting in missed detections of flow rate spikes and sudden pressure drops at the moment the obstruction suddenly opens. Therefore, this invention uses a provisional characteristic index combined with relative deviation for step-by-step adjustment, providing a basis for determining the final safe digital warning command.

[0082] Specifically, the preset window length and the current window discharge volume are read, and a division calculation is performed with the current window discharge volume as the dividend and the preset window length as the divisor to obtain the actual drainage flow rate at the current moment; the historical characteristic index of the previous calculation cycle is read as the current characteristic index.

[0083] The provisional characteristic index is obtained based on the actual drainage flow rate, the safety compensation flow rate, the current characteristic index, and the preset adjustment gain constant at the current moment.

[0084] It should be noted that the provisional characteristic index represents a preliminary quantitative value used to characterize the evolution trend of pipeline blockage risk before safety boundary restrictions are imposed.

[0085] Specifically, the provisional characteristic index satisfies the following relation:

[0086] ;

[0087] In the formula, Let be the provisional characteristic index at time t. Let be the current characteristic index at time t. The preset adjustment gain constant, For the safety compensation flow rate at time t, The actual drainage velocity at time t. This is the preset obstruction limiting constant.

[0088] It should be added that, This represents the flow rate deficit between the current safe compensation flow rate and the current actual drainage flow rate. A reference benchmark for the actual flow rate with added anti-overflow boundary; The relative deviation of the flow rate is used to characterize the step evaluation of the warning level of the actuator. This invention uses the relative deviation of the flow rate to perform progressive compensation on the current characteristic index at the current moment.

[0089] in, The larger the value, the higher the expected flow velocity at the current stage after residual volume and wall compliance correction. The more it tends to increase, the more the provisional characteristic index at the current moment increases. The synchronous increase is aimed at raising the early warning response level to identify hidden blockages; The smaller the value, the lower the expected rate of pressure release at the current moment, so that... The more it tends to decrease, the more it makes The pressure decreases synchronously, thereby gradually reducing the warning response level to eliminate the negative pressure hazard warning.

[0090] The larger the value, the greater the total volume of fluid actually drained from the body per unit time. Exceeding expectations at the current moment ,make The more it tends to decrease or even become negative, the more... The downward incremental deduction brings it closer to the adaptive tightening channel warning threshold and suppresses overspeed spikes. The smaller the value, the less the total volume of fluid actually drained from the body per unit time. This is especially true if mechanical obstruction occurs due to stones or mucosal adhesion. The value approaches zero because a preset obstruction limiting constant is configured at the overflow prevention position. This prevents the relative deviation of the flow rate from causing abnormal computational crashes. By halting excessive expansion, the goal becomes increasingly effective in suppressing and controlling the high risks associated with the unlimited extrapolation of control quantities.

[0091] Furthermore, the preset highest and lowest risk limits are invoked to apply boundary condition truncation restrictions to the provisional feature index at the current moment, thereby generating the target feature index at the current moment.

[0092] Historical warning thresholds are obtained by statistically calculating the characteristic data recorded during historical safe diversion cycles; the target characteristic index at the current moment is compared with the historical warning threshold; when the target characteristic index is greater than or equal to the historical warning threshold, a target alarm command is generated and sent to the warning circuit of the external alarm device to trigger an audible and visual prompt signal, thus completing the monitoring and warning operation; when the target characteristic index is less than the historical warning threshold, the current silent monitoring state is maintained.

[0093] The process of obtaining historical early warning thresholds by statistically calculating characteristic data recorded within historical safe traffic diversion cycles includes: extracting all target characteristic indices recorded within the most recent preset number of historical safe traffic diversion cycles; calculating the arithmetic mean of all target characteristic indices to obtain the historical index mean; calculating the standard deviation of all target characteristic indices relative to the historical index mean to obtain the index standard deviation; multiplying the index standard deviation by a preset early warning sensitivity factor to obtain the fault tolerance margin; and adding the fault tolerance margin to the historical index mean to calculate the historical early warning threshold.

[0094] It should be further explained that the historical warning threshold represents the upper limit of the system's permissible fluctuations under ideal fluid dynamic conditions with no tubing obstruction and no mucosal adhesion. When the target characteristic index is greater than or equal to the historical warning threshold, it indicates that the current physical obstruction of the tubing has exceeded the normal natural attenuation range, causing the system to determine that the risk of adhesion is high, thus approaching the ultimate technical benefit of timely calling medical personnel for manual troubleshooting. When the target characteristic index is less than the historical warning threshold, it indicates that the current fluid drainage resistance is still within the tolerance range of normal physiological fluctuations, causing the system to determine that no external intervention is needed, thus approaching the reverse technical benefit of avoiding meaningless alarm noise interference.

[0095] Specifically, the target feature index satisfies the following relationship:

[0096] ;

[0097] In the formula, The target characteristic index at the current time t, The preset maximum risk limit, The preset minimum risk limit, This is the provisional characteristic index for the current time t.

[0098] in, The larger the value, the greater the theoretical warning level required, even before it is triggered. Constraints The greater the potential increase, the lower the risk of a flood of false alarms in the next cycle, thus achieving the goal of fully releasing the predetermined traffic-generating capacity for early warning. The smaller the value, the lower the theoretical warning level requirement; if triggered... Cut off the boundary, so that tending to stabilize This forces actions to be contained within a safe boundary, thereby increasing the likelihood of avoiding meaningless noise interference.

[0099] For example, the adjustment gain constant determines the step size and response severity of the characteristic index extrapolation module in progressive compensation for flow rate deficits or deviations. The empirical range is [0.05, 0.25], and in this embodiment, it is set to 0.12. Implementers can set the adjustment gain constant according to the material of the drainage pipe and the desired early warning ramp-up rate. When the drainage pipe diameter is small, the material is hard, and a rapid system response is desired when minor signs of adhesion to the wall are expected, the adjustment gain constant can be appropriately increased to accelerate the characteristic index exceedance rate. When mild obstruction occurs even during normal drainage, the adjustment gain constant can be appropriately decreased to smooth temporary characteristic index fluctuations and prevent the system from generating early warning oscillations.

[0100] For example, the obstruction limiting constant determines the lower limit of blockage when the actual flow rate approaches zero due to mechanical blockage, which is added to the divisor position to forcibly prevent the relative deviation from amplifying infinitely. Empirically, the value range is [0.01, 0.1] ml / s, and in this embodiment, it is set to 0.05 ml / s. The implementer can set the obstruction limiting constant according to the clinical tolerance duration for a state of complete fluid drainage. When the drainage site is critical and the tolerance for stagnation is zero, the obstruction limiting constant can be appropriately reduced to allow the error to rapidly increase and trigger an alarm; when short-term flow stagnation due to changes in patient position is permissible, the obstruction limiting constant can be appropriately increased to buffer the intensity of the warning signal.

[0101] For example, the minimum risk limit determines the downward truncation limit of the provisional feature index, preventing the system from triggering meaningless calculations in a safe state and maintaining a mathematical lower limit for basic silent monitoring. The empirical range is [0.1, 0.5], and in this embodiment, it is set to 0.2. Implementers can set the minimum risk limit according to the ward's quiet management and the equipment's low power consumption requirements. When it is desired that the system captures subtle early resistance change trends as much as possible, the minimum risk limit can be appropriately lowered to broaden the feature evolution space; when the clinical environment is complex and it is desired to thoroughly filter out basic resistance fluctuations caused by physiological activities, the minimum risk limit can be appropriately increased to forcibly lock the silent state.

[0102] For example, the maximum risk limit determines the upper limit of the provisional characteristic index to prevent the sudden opening of the obstruction from causing oscillations in the warning signal or a flood of false alarms. The empirical range is [1.5, 3.0], and in this embodiment it is set to 2.0. Implementers can set the maximum risk limit according to the degree of harm to the cavity tissue caused by the sudden large flow impact. When the patient's tissue is fragile and a high degree of vigilance is needed for the negative pressure backlash caused by the relieving of the obstruction, the maximum risk limit can be appropriately increased to fully release the high-risk warning level; when the system focuses more on stable monitoring and preventing digital overflow from causing abnormal valve action, the maximum risk limit can be appropriately decreased to intercept the control action within a mild boundary.

[0103] For example, the warning sensitivity factor determines the confidence interval range for determining tubing wall obstruction, with an empirical value range of [2.0, 4.0], set to 3.0 in this embodiment. Implementers can set the warning sensitivity factor based on clinical tolerance for missed detection risks and the system's anti-interference capabilities. When the source cavity lesion is severe and the tolerance for missed detection is extremely low, the warning sensitivity factor can be appropriately reduced to tighten the warning threshold and improve the warning response sensitivity; when frequent patient turning leads to large flow fluctuations and sensitivity to alarm sounds, the warning sensitivity factor can be appropriately increased to enhance the system's tolerance margin for dynamic fluctuations.

[0104] For example, the drive proportional coefficient determines the amplification factor of the base control level that converts the target characteristic index into the action of the external hardware in the closed-loop adaptive control. The empirical range is [500, 2000], and in this embodiment, it is set to 1000. Implementers can set the drive proportional coefficient according to the torque requirements of the valve motor and the closed-loop response stiffness. When the physical valve has a large mass and requires high torque to overcome fluid pressure, the drive proportional coefficient can be appropriately increased to output a strong shut-off action. When using a miniature, highly sensitive valve that is easily driven, the drive proportional coefficient can be appropriately reduced to prevent excessive valve action that could lead to water hammer in the pipeline.

[0105] For example, the static offset determines the basic electrical starting baseline used to offset the mechanical preload of the actuator and overcome the dead zone of the motor drive backlash during the command conversion process. The empirical range is [100, 300], and in this embodiment, it is set to 200. Implementers can set the static offset according to the mechanical wear and response delay characteristics of the hardware. When peripheral valves age or gear meshing clearance increases, the static offset can be appropriately increased to eliminate mechanical idle travel in advance; when using a high-precision backlash-free direct-drive motor, the static offset can be appropriately reduced to avoid micro-jitter in the absence of commands.

[0106] For example, the alarm termination threshold determines the safe capacity limit for forcibly stopping physical drainage at the end of the drainage process. An empirically chosen value range is [85% to 98% of the maximum cavity capacity]. In this embodiment, taking a maximum cavity capacity of 400 ml as an example, the alarm termination threshold is set to 385 ml. Implementers can set the alarm termination threshold based on the degree of atrophy of the cavity wall at the source and the probability of complications. When atrophy of the cavity wall at the source makes it highly susceptible to tube adhesion at the end of drainage, the alarm termination threshold can be appropriately lowered to terminate drainage early and retain some residual fluid in the cavity as a physical buffer. When the patient's cavity has good elasticity and it is necessary to drain as much fluid as possible to reduce the risk of infection, the alarm termination threshold can be appropriately increased to improve the thoroughness of drainage.

[0107] It should be noted that steps S1 to S4 are executed cyclically according to a set period to achieve continuous adaptive monitoring of the drainage status. After each cycle, the system appends the currently generated target characteristic index to the historical database; the next cycle directly calls the latest record as the historical characteristic index of the previous cycle, realizing the rolling update of parameters. This cycle will continue to run until the cumulative discharged fluid volume reaches the preset alarm termination threshold, or the drainage is terminated upon receiving a manual termination command.

[0108] In a preferred embodiment, the medical drainage anti-adhesion early warning method based on hydrodynamic characteristics further includes an adaptive control step:

[0109] Specifically, in the synchronous state of triggering the generation of target alarm command, the target characteristic index at the current moment is multiplied by a preset drive ratio coefficient to obtain the basic drive value, and the basic drive value is added to the preset static offset to obtain the digital control command; the digital control command is converted into a drive control signal with corresponding voltage amplitude characteristics by the signal conversion module, and the drive control signal is sent to the control loop of the pipeline monitoring and control valve; by dynamically adjusting the physical flow cross section of the pipeline monitoring and control valve, the actual drainage flow rate is forced to match the safety compensation flow rate, thus completing the closed-loop adaptive control of the drainage state.

[0110] For example, in this embodiment, the preset alarm termination threshold is set to 385 ml. The implementer can set it according to the individual maximum cavity capacity of the source cavity and the risk of inner wall collapse. For example, when the wall of the source cavity is severely atrophied, which makes it easy for physical adsorption of the tube opening to occur at the end of the drainage, the parameter can be appropriately reduced to terminate the drainage in advance, thereby retaining more residual fluid in the cavity as a physical buffer to prevent tissue tearing.

[0111] For example, when performing drainage procedures on the source cavity in a clinical nursing setting, Figure 2 The diagram compares the actual drainage flow rates of existing technologies and the present invention during the drainage process. The existing technology, influenced by the initial pressure difference and lacking a mechanism to limit the initial high-tension state, generates a large actual drainage flow rate in the early stages of drainage, increasing the risk of a sudden drop in intracavitary pressure. In contrast, the present invention calculates a safe baseline flow rate based on initial load risk during the initial drainage phase to lower the lower limit of the actual drainage flow rate warning in the initial stage. During the middle and late stages of drainage and at the end of the drainage process, the provisional characteristic index is updated based on the safe compensation flow rate, and boundary condition truncation is applied to generate the target characteristic index. By generating the target characteristic index and triggering a tiered audible and visual alarm, a wall-adhesion warning is issued in advance when the actual flow rate approaches a small underflow. The present invention balances the initial pressure stabilization and the final anti-adhesion requirements, suppresses the oscillation and jump of the anti-wall-adhesion warning signal, and strengthens flow rate monitoring throughout the entire drainage cycle while ensuring drainage efficiency.

[0112] For example, when performing drainage procedures on the source cavity in a clinical nursing setting, Figure 3 This diagram compares the changes in residual fluid volume in the cavity during drainage using existing technologies and the present invention. The existing technology, influenced by an unrestricted continuous drainage strategy, suffers from an unconstrained drainage rate, leading to excessive drainage at the end of the drainage process. This results in the residual fluid volume in the cavity approaching zero and increases the risk of cavity collapse. In contrast, the present invention utilizes a safe baseline flow rate to slow the overall drainage rate during the main drainage phase, reducing the stress impact on the cavity wall tension caused by rapid depressurization. Near the drainage limit, a target characteristic index triggers an anti-wall adhesion warning signal. Monitoring is performed according to the hydrodynamic characteristics of the liquid accumulation rate, prompting the maintenance of a small underflow to prevent cavity wall collapse and strong adsorption. The present invention balances the depressurization task with cavity protection needs, suppressing tissue stretching caused by excessive drainage, and strengthening the tension maintenance of the cavity microenvironment at the end of drainage while ensuring controlled monitoring of internal fluid accumulation.

[0113] For example, such as Figure 4 The diagram shown is a functional block diagram of a medical drainage anti-adhesion early warning system based on hydrodynamic characteristics provided in an embodiment of the present invention. The medical drainage anti-adhesion early warning system 100 of the present invention can be installed in an electronic device. Depending on the functions implemented, the medical drainage anti-adhesion early warning system 100 may include a predictive accumulation calculation module 101, an initial risk assessment module 102, a baseline flow velocity estimation module 103, a window data acquisition module 104, a flow velocity deviation extraction module 105, a feature index deduction module 106, a monitoring and early warning generation module 107, and a closed-loop adaptive control module 108.

[0114] The module described in this invention, also referred to as a unit, refers to a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, and are stored in the memory of the electronic device. In this embodiment, the functions of each module / unit are as follows:

[0115] The predicted accumulation calculation module 101 is used to obtain the liquid accumulation rate and the current elapsed time based on the drainage log data, and calculate the product of the liquid accumulation rate and the current elapsed time to obtain the predicted accumulated liquid volume.

[0116] The initial risk assessment module 102 is used to obtain the standard deviation of the accumulation rate and the current elapsed time based on the drainage log data, and to obtain the initial load risk by combining the maximum cavity capacity, the predicted accumulated liquid volume, the standard deviation of the accumulation rate and the current elapsed time.

[0117] The reference flow rate calculation module 103 is used to obtain the cumulative discharged liquid volume and calculate the safe reference flow rate using the maximum cavity capacity, cumulative discharged liquid volume, initial load risk, predicted accumulated liquid volume and equipment maximum flow rate.

[0118] The window data acquisition module 104 is used to read the actual flow section at the current moment and obtain the window period duration. At the same time, it obtains the window period discharge volume by the difference between the cumulative discharge volume before and after the window period duration.

[0119] The flow rate deviation extraction module 105 is used to integrate the liquid output during the window period, the safe reference flow rate, and the actual flow cross-section to obtain the safe compensation flow rate; and to obtain the actual drainage flow rate based on the liquid output during the window period and the duration of the window period.

[0120] The feature index deduction module 106 is used to read the historical feature index of the previous calculation cycle of the system as the current feature index, and to establish a provisional feature index by combining the actual diversion flow rate, the safety compensation flow rate and the current feature index.

[0121] The monitoring and early warning generation module 107 is used to truncate and restrict the provisional feature index by boundary conditions to generate a target feature index, and compare the target feature index with the historical early warning threshold constructed based on historical feature data to generate a target alarm command to trigger the anti-wall-attaching early warning signal.

[0122] The closed-loop adaptive control module 108 is used to convert the target characteristic index into an instruction when the monitoring and early warning generation module triggers the anti-wall-adhesion early warning signal, and to adjust the actual flow cross section and the actual drainage flow rate in a coordinated manner to complete the physical closed-loop linkage control.

[0123] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0124] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0125] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in a combination of hardware and software functional modules. It will be apparent to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from its spirit or essential characteristics.

[0126] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

Claims

1. A medical drainage anti-adhesion early warning method based on fluid dynamics characteristics, characterized in that, include: Based on the drainage log data, obtain the liquid accumulation rate, the standard deviation of the accumulation rate, and the current elapsed time; Calculate the product of the liquid accumulation rate and the current elapsed time to obtain the predicted liquid accumulation volume; The initial load risk is obtained by combining the maximum cavity capacity, predicted accumulated liquid volume, standard deviation of accumulation rate, and current elapsed time. Obtain the cumulative discharged liquid volume, and use the maximum cavity capacity, cumulative discharged liquid volume, initial load risk, predicted accumulated liquid volume and maximum equipment flow rate to calculate the safe reference flow rate; Read the actual flow cross section at the current moment and obtain the window period duration. At the same time, obtain the window period discharge volume by the difference between the cumulative discharge volume before and after the window period duration. The safe compensation flow rate is obtained by integrating the liquid output during the window period, the safe reference flow rate, and the actual flow cross-section, and the actual drainage flow rate is obtained based on the liquid output during the window period and the duration of the window period. Read the historical characteristic index from the previous calculation period as the current characteristic index, and establish a provisional characteristic index by combining the actual diversion flow rate, the safety compensation flow rate, and the current characteristic index. The provisional characteristic index is truncated and restricted by boundary conditions to generate the target characteristic index. The target characteristic index is then compared with the historical early warning threshold constructed based on historical characteristic data to generate a target alarm command to trigger the anti-wall-attaching early warning signal.

2. The medical drainage anti-adhesion early warning method based on fluid dynamics characteristics according to claim 1, characterized in that, The method of obtaining the initial load risk by combining the maximum cavity capacity, predicted accumulated liquid volume, standard deviation of accumulation rate, and current elapsed time includes: The predicted volume of accumulated liquid is used as the benchmark for the total volume of accumulated liquid. The product of the accumulation rate standard deviation and the current elapsed time is used as the dynamic fluctuation redundancy. The difference between the maximum cavity capacity and the dynamic fluctuation redundancy is taken as the safe remaining capacity limit. The initial load risk is obtained by dividing the cumulative total volume of liquid by the safe remaining capacity limit.

3. The medical drainage anti-adhesion early warning method based on fluid dynamics characteristics according to claim 1, characterized in that, The step of obtaining the cumulative discharged liquid volume through a flow meter and obtaining the safe reference flow rate based on the maximum cavity capacity, cumulative discharged liquid volume, initial load risk, predicted accumulated liquid volume, and maximum equipment flow rate includes: Calculate the difference between the maximum cavity capacity and the cumulative discharged liquid volume to obtain a first difference value, and add the value 1 to the initial load risk to obtain a first sum value; Multiply the maximum cavity capacity by the first sum to obtain the first product, and divide the first difference by the first product to obtain the initial voltage stabilization attenuation factor; The sum of the predicted accumulated liquid volume and the preset minimum constant is calculated to obtain the second sum value. The cumulative discharged liquid volume is subtracted from the second sum value to obtain the actual residual liquid volume. The actual residual liquid volume is divided by the second sum value to obtain the final anti-wall adhesion attenuation factor. Multiply the maximum flow rate of the equipment, the initial pressure stabilization attenuation factor, and the final anti-wall adhesion attenuation factor to obtain the safe reference flow rate.

4. The medical drainage anti-adhesion early warning method based on fluid dynamics characteristics according to claim 1, characterized in that, The fusion window period outflow rate, the safe reference flow rate, and the actual flow cross-section are used to obtain the safe compensation flow rate, including: The second product is obtained by multiplying the window duration, the preset comprehensive flow coefficient, and the actual flow cross-section, and then adding the second product to the preset smoothing constant to calculate the ideal liquid output. The wall physical compliance deviation ratio is calculated by dividing the liquid output during the window period by the ideal liquid output. The safe compensation velocity is obtained by multiplying the safe reference velocity by the ratio of the wall physical compliance deviation.

5. The medical drainage anti-adhesion early warning method based on fluid dynamics characteristics according to claim 1, characterized in that, The historical characteristic index of the previous calculation period is taken as the current characteristic index. A provisional characteristic index is established by combining the actual diversion flow rate, the safety compensation flow rate, and the current characteristic index, including: The actual drainage rate is obtained based on the amount of fluid discharged during the current window period. Calculate the difference between the safety compensation flow rate and the actual drainage flow rate, and divide it by the actual drainage flow rate with the added preset obstruction limiting constant to obtain the relative flow rate deviation. The provisional characteristic index is calculated by multiplying the relative deviation of the flow velocity by the preset adjustment gain constant, adding it to the value 1, and then multiplying it by the current characteristic index.

6. The medical drainage anti-adhesion early warning method based on fluid dynamics characteristics according to claim 1, characterized in that, Before comparing the target feature index with the historical early warning threshold constructed based on historical feature data, the method further includes the step of obtaining the historical early warning threshold, including: Extract all target feature indices recorded within the most recent preset number of historical safe traffic diversion cycles; calculate the arithmetic mean of all target feature indices to obtain the historical index mean, and calculate the standard deviation of all target feature indices relative to the historical index mean to obtain the index standard deviation; Multiply the standard deviation of the index by a preset warning sensitivity factor to obtain the fault tolerance margin, and add the fault tolerance margin to the historical index mean to calculate the historical warning threshold.

7. A medical drainage anti-adhesion early warning system based on fluid dynamics characteristics, characterized in that, To implement the method according to any one of claims 1 to 6, comprising: The predicted accumulation calculation module is used to obtain the liquid accumulation rate and the current elapsed time based on the drainage log data, and to calculate the product of the liquid accumulation rate and the current elapsed time to obtain the predicted accumulation volume. The initial risk assessment module is used to obtain the standard deviation of the accumulation rate and the current elapsed time based on the drainage log data, and to obtain the initial load risk by combining the maximum cavity capacity, the predicted accumulation volume, the standard deviation of the accumulation rate and the current elapsed time. The baseline flow rate calculation module is used to obtain the cumulative discharged liquid volume and calculate the safe baseline flow rate using the maximum cavity capacity, cumulative discharged liquid volume, initial load risk, predicted accumulated liquid volume and equipment maximum flow rate. The window data acquisition module is used to read the actual flow cross section at the current moment and obtain the window duration. At the same time, it obtains the window discharge volume within the window period by the difference between the cumulative discharge volume before and after the window duration. The flow rate deviation extraction module is used to integrate the liquid output during the window period, the safe reference flow rate, and the actual flow cross-section to obtain the safe compensation flow rate; and to obtain the actual drainage flow rate based on the liquid output during the window period and the duration of the window period. The feature index derivation module is used to read the historical feature index of the previous calculation cycle of the system as the current feature index, and to establish a provisional feature index by combining the actual diversion flow rate, the safety compensation flow rate and the current feature index. The monitoring and early warning generation module is used to truncate and restrict the provisional feature index by boundary conditions to generate the target feature index, and compare the target feature index with the historical early warning threshold constructed based on historical feature data to generate the target alarm command to trigger the anti-wall-attaching early warning signal.

8. A medical drainage anti-adhesion early warning system based on fluid dynamics characteristics according to claim 7, characterized in that, The monitoring and early warning generation module includes: The boundary condition truncation and restriction submodule is used to call the preset highest and lowest risk limits to truncate and restrict the provisional feature index, and generate the target feature index. The historical threshold construction submodule is used to extract all target feature indices recorded within the most recent preset number of historical safe traffic diversion cycles, calculate the arithmetic mean of all target feature indices to obtain the historical index mean, and calculate the standard deviation of all target feature indices relative to the historical index mean to obtain the index standard deviation. Then, the index standard deviation is multiplied by a preset warning sensitivity factor to obtain the fault tolerance margin, and the fault tolerance margin is added to the historical index mean to calculate the historical warning threshold. The warning signal triggering submodule is used to send the target alarm command to the warning circuit of the external alarm device to trigger the audible and visual prompt of the anti-wall-adhesion warning signal when the target characteristic index is greater than or equal to the historical warning threshold.

9. A medical drainage anti-adhesion early warning system based on hydrodynamic characteristics according to claim 7, characterized in that, The initial risk assessment module includes: The total volume baseline determination submodule is used to use the predicted accumulated liquid volume as the cumulative total volume baseline. The fluctuation redundancy estimation submodule is used to calculate the dynamic fluctuation redundancy by multiplying the accumulation rate standard deviation by the current elapsed time. The safe remaining capacity assessment submodule is used to take the difference between the maximum cavity capacity and the dynamic fluctuation redundancy as the safe remaining capacity limit. The initial load risk calculation submodule is used to divide the cumulative total volume of liquid accumulation by the safe remaining capacity limit to obtain the initial load risk.

10. A medical drainage anti-adhesion early warning system based on hydrodynamic characteristics according to claim 7, wherein the early warning system may further include a control module, specifically including: The control command conversion submodule is used to convert the target characteristic index at the current moment into a safety defense line blocking command when the monitoring and early warning generation module triggers the anti-wall-attaching early warning signal, and then convert the safety defense line blocking command into a digital control electrical signal through the signal conversion unit. The physical cross-section adjustment submodule is used to send digital control electrical signals to the physical measurement and control valve, and dynamically adjust the actual flow cross-section by driving the physical measurement and control valve to act. The forced flow rate matching submodule is used to adjust the actual flow rate to match the safety compensation flow rate when the anti-wall-adhesion warning signal is triggered based on the change of the actual flow cross section, thus completing the physical closed-loop linkage adjustment for adaptive safety obstacle removal of the flow conditions.

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