A negative pressure closed drainage pressure control system

Abstract

The present invention relates to the field of negative pressure control technology, specifically a negative pressure closed drainage pressure control system, the system includes: a wound index monitoring module is based on a drainage tube connected to a temperature sensor at the affected part, real-time temperature data is collected, through a pressure sensor, pressure changes are continuously monitored, combined with image capture of a closed environment, the current size of the wound is measured, and the data is uniformly transmitted to a central database, and merged to form a wound index data set. In the present invention, by comprehensively monitoring the temperature, pressure and size changes of the wound, the system is allowed to evaluate the healing process in real time and dynamically adjust the required treatment pressure. This fine control method significantly enhances the pressure adaptability during the treatment process, can reflect the actual needs of the wound in real time, effectively promote faster healing of the wound, and significantly reduce the possibility of infection. The personalized pressure adjustment plan optimizes the treatment effect by analyzing the wound depth, area and health status of the patient.

Description

Technical Field

[0001] The present invention relates to the technical field of negative pressure control, and in particular to a negative pressure closed drainage pressure control system. Background Art

[0002] The field of negative pressure control technology involves the use of automated or semi-automated systems to monitor and adjust negative pressure conditions in an environment or device. This technology is widely used in a variety of industrial and medical scenarios, where accurate pressure regulation is key to maintaining system stability and functionality. In industry, negative pressure control can be used to maintain specific conditions for chemical reactions or to control air flow during manufacturing. In the medical field, this technology is mainly used to promote wound healing, postoperative care, and the operation of certain therapeutic equipment to ensure that the therapeutic effect is achieved through proper pressure regulation.

[0003] Among them, the negative pressure closed drainage pressure control system refers to a medical device used to promote wound healing by controlling negative pressure in clinical treatment. This system helps reduce bacterial infection, accelerate wound cleaning and the formation of new tissue by precisely controlling the pressure environment in the wound area. The main uses of the negative pressure closed drainage system include treating chronic wounds, burns, surgical incisions and other occasions where the healing process needs to be promoted. By maintaining a stable negative pressure environment, this type of equipment effectively promotes the natural healing process of the wound, thereby improving the treatment effect and shortening the recovery time.

[0004] Existing technologies generally lack the ability to dynamically respond to the real-time status of wounds during wound treatment. Traditional systems are unable to perform real-time data analysis and immediate parameter adjustments, which often results in the pressure level being unable to adapt to changes in the wound in a timely manner, affecting the healing rate and treatment effectiveness. For example, when dealing with rapidly deteriorating or improving wounds, inappropriate pressure levels may aggravate the condition or delay recovery time. In addition, existing technologies fail to effectively integrate individual patient differences, such as the impact of age and infection status on treatment strategies. This generalized approach often fails to provide the best treatment for the specific circumstances of individual patients, thereby limiting the applicability and effectiveness of treatment options. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a negative pressure closed drainage pressure control system.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: A negative pressure closed drainage pressure control system comprises:

[0007] The wound index monitoring module is based on connecting the temperature sensor to the affected area through the drainage tube to collect temperature data in real time. Through the pressure sensor, it continuously monitors the pressure changes and combines the image capture of the closed environment to measure the current size of the wound. The data is uniformly transmitted to the central database and merged to form a wound index data set.

[0008] The pressure analysis module compares the multiple data with the preset healing trajectory based on the wound indicator data set, calculates the deviation between the current healing progress and the expected target, evaluates whether the pressure needs to be adjusted, and generates a pressure adjustment instruction;

[0009] The parameter weight calculation module analyzes and assigns weights to multiple data items based on the depth and area data of the wound, as well as the infection status and age of the patient. It determines the influence of multiple data items by referring to the influence of each data item on wound recovery, outputs the weighted data analysis results, and generates weighted parameter results.

[0010] The pressure regulation execution module operates the negative pressure sealing drainage device based on the pressure adjustment instruction and the weighted parameter result, adjusts it to the recommended pressure level, monitors the device execution status and real-time pressure data, feeds back the adjustment result, and generates real-time pressure feedback.

[0011] As a further solution of the present invention, the steps of obtaining the wound index data set are specifically as follows:

[0012] The temperature data of the affected area is collected in real time through the temperature sensor connected to the drainage tube, using the formula:

[0013] ;

[0014] Calculate the calibration temperature value of each acquisition point to obtain a calibration temperature data set;

[0015] in, Representative The calibration temperature value of each collection point, Representative The original temperature data of the collection points, represents the temperature calibration coefficient, represents the baseline temperature shift, represents the signal attenuation coefficient from the temperature sensor to the central processing unit, is the base of natural logarithms;

[0016] Use a continuously monitored pressure sensor to collect pressure change data using the formula:

[0017] ;

[0018] Obtaining a pressure-adjusted data set;

[0019] in, For the Adjusted pressure data for each collection point, For the The original pressure data of the acquisition points, represents the pressure adjustment factor, is the pressure baseline offset, Represents the signal attenuation factor from the pressure sensor to the central processing unit, is the base of natural logarithms;

[0020] Wound size was measured by an image capture system in a closed environment using the formula:

[0021] ;

[0022] Generate wound size dataset;

[0023] in, Representative Wound size at each time point, represents the coordinates of the wound boundary in the image, Represents the resolution adjustment factor of image capture, is the base of natural logarithms;

[0024] The calibration temperature data set, the pressure adjustment data set and the wound size data set are analyzed using the formula:

[0025] ;

[0026] Calculate and generate wound indicator data sets;

[0027] in, Represents wound assessment indicators, represents the calibration temperature in the temperature dataset, represents the adjusted pressure in the pressure dataset, Represents wound size data, Represents the weight adjustment coefficient when integrating data, is the base of natural logarithms.

[0028] As a further solution of the present invention, the step of obtaining the pressure adjustment instruction is specifically as follows:

[0029] Based on the wound indicator data set and compared with the preset healing trajectory, the formula is used:

[0030] ;

[0031] Calculate the standardized deviation between the healing progress and the expected target to obtain the healing progress deviation;

[0032] Among them, V represents the healing progress deviation, D represents the current healing data, Represents preset healing trajectory data;

[0033] Based on the healing progress deviation, the formula is used:

[0034] ;

[0035] Calculate the pressure ratio that needs to be adjusted to obtain the pressure adjustment ratio;

[0036] in, represents the pressure adjustment ratio, e is the base of the natural logarithm, The strength of the effect of the adjustment bias on the results;

[0037] Using the pressure adjustment ratio, combined with the current pressure setting, the formula is:

[0038] ;

[0039] Calculate new pressure settings and generate pressure adjustment instructions;

[0040] in, represents the new pressure setting, Set for the current pressure.

[0041] As a further solution of the present invention, the step of obtaining the weighted parameter result is specifically:

[0042] Based on the depth and area of ​​the wound, as well as the infection status and age of the patient, each data item is initially weighted according to its clinical importance in affecting wound recovery, using the formula:

[0043] ;

[0044] Calculate preliminary weight analysis results;

[0045] in, represents the initial weight of the data item, represents the clinical importance score of the data item, is the influence amplification factor, is the base of natural logarithms;

[0046] The preliminary weight analysis results are normalized to ensure that the sum of the weights is 1, using the formula:

[0047] ;

[0048] Calculate normalized weights;

[0049] in, represents the normalized weight;

[0050] Combining the normalized weights and the corresponding data item values, the formula is adopted:

[0051] ;

[0052] Calculate the weighted data analysis results and generate weighted parameter results;

[0053] in, represents the weighted parameter result, Represents the numeric value of each data item.

[0054] As a further solution of the present invention, the step of obtaining the real-time pressure feedback is specifically as follows:

[0055] Based on the pressure adjustment instruction and the weighted parameter result, the negative pressure sealing drainage device is operated to set the target pressure level using the formula:

[0056] ;

[0057] Generate target pressure settings;

[0058] in, represents the target pressure setting;

[0059] Based on the target pressure setting, adjust the device to the recommended pressure level using the formula:

[0060] ;

[0061] Calculate new set pressure;

[0062] in, Represents the set pressure, represents the adjustment sensitivity coefficient, Represents the previous pressure reading;

[0063] Monitor the equipment execution status and real-time pressure data to obtain the current actual pressure , compare the new set pressure with the actual pressure, using the formula:

[0064] ;

[0065] Generate real-time pressure feedback;

[0066] in, represents the actual pressure read from the sensor, Represents pressure deviation and is used to indicate the precision and immediate effect of equipment adjustments.

[0067] Compared with the prior art, the advantages and positive effects of the present invention are:

[0068] In the present invention, by comprehensively monitoring the temperature, pressure and size changes of the wound, the system is allowed to evaluate the healing process in real time and dynamically adjust the required treatment pressure. This fine-tuning method significantly enhances the pressure adaptability during the treatment process, can reflect the actual needs of the wound in real time, effectively promote faster wound healing, and significantly reduce the possibility of infection. The personalized pressure adjustment program optimizes the treatment effect by analyzing the wound depth, area and the patient's health status, which is of great significance to improving the speed and quality of wound healing. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 is a system flow chart of the present invention;

[0070] Figure 2 A flowchart of the steps for obtaining a wound indicator data set of the present invention;

[0071] Figure 3 A flow chart of the steps for obtaining the pressure adjustment instruction of the present invention;

[0072] Figure 4 A flow chart of the steps for obtaining the weighted parameter results of the present invention;

[0073] Figure 5 This is a flow chart of the steps for obtaining real-time pressure feedback of the present invention. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0075] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0076] Example 1: Please refer to Figure 1 , a negative pressure closed drainage pressure control system comprises:

[0077] The wound index monitoring module is based on connecting the temperature sensor to the affected area through the drainage tube to collect temperature data in real time. Through the pressure sensor, it continuously monitors the pressure changes and combines the image capture of the closed environment to measure the current size of the wound. The data is uniformly transmitted to the central database and merged to form a wound index data set.

[0078] The pressure analysis module compares multiple data with the preset healing trajectory based on the wound indicator data set, calculates the deviation between the current healing progress and the expected goal, evaluates whether the pressure needs to be adjusted, and generates pressure adjustment instructions;

[0079] The parameter weight calculation module analyzes and assigns weights to multiple data items based on the depth and area data of the wound, as well as the infection status and age of the patient. It determines the influence of multiple data items by referring to the influence of each data item on wound recovery, outputs the weighted data analysis results, and generates weighted parameter results.

[0080] The pressure regulation execution module operates the negative pressure sealing drainage device based on the pressure adjustment instructions and weighted parameter results, adjusts it to the recommended pressure level, monitors the device execution status and real-time pressure data, feeds back the adjustment results, and generates real-time pressure feedback.

[0081] The wound indicator data set specifically includes temperature readings, pressure readings, and size measurements. The pressure adjustment instructions specifically include healing progress deviation and recommended pressure adjustment. The weighted parameter results specifically include wound depth influence weight, area influence weight, infection status influence weight, and age influence weight. Real-time pressure feedback includes device execution status, real-time pressure data, and adjustment result feedback.

[0082] See also Figure 2 ,The steps for obtaining the wound index data set are as follows:

[0083] The temperature data of the affected area is collected in real time through the temperature sensor connected to the drainage tube, using the formula:

[0084] ;

[0085] Calculate the calibration temperature value of each acquisition point to obtain a calibration temperature data set;

[0086] in, Representative The calibration temperature value of each collection point, Representative The original temperature data of the collection points, represents the temperature calibration coefficient, represents the baseline temperature shift, represents the signal attenuation coefficient from the temperature sensor to the central processing unit, is the base of natural logarithms;

[0087] Use a continuously monitored pressure sensor to collect pressure change data using the formula:

[0088] ;

[0089] Obtaining a pressure-adjusted data set;

[0090] in, For the Adjusted pressure data for each collection point, For the The original pressure data of the acquisition points, represents the pressure adjustment factor, is the pressure baseline offset, Represents the signal attenuation factor from the pressure sensor to the central processing unit, is the base of natural logarithms;

[0091] Wound size was measured by an image capture system in a closed environment using the formula:

[0092] ;

[0093] Generate wound size dataset;

[0094] in, Representative Wound size at each time point, represents the coordinates of the wound boundary in the image, Represents the resolution adjustment factor of image capture, is the base of natural logarithms;

[0095] The calibration temperature data set, pressure adjustment data set and wound size data set were analyzed using the formula:

[0096] ;

[0097] Calculate and generate wound indicator data sets;

[0098] in, Represents wound assessment indicators, represents the calibration temperature in the temperature dataset, represents the adjusted pressure in the pressure dataset, Represents wound size data, Represents the weight adjustment coefficient when integrating data, is the base of natural logarithms.

[0099] formula:

[0100] ;

[0101] Parameter explanation and setting:

[0102] : Original temperature data, set to (typical human body temperature);

[0103] : Temperature calibration coefficient, set to 1.05 (refer to instrument deviation);

[0104] : Baseline temperature offset, set to (calibration bias);

[0105] : Signal attenuation coefficient, set to -0.2 (reflecting signal strength);

[0106] : The base of natural logarithm, approximately equal to 2.71828;

[0107] Calculation process and examples:

[0108] Calculate the signal attenuation part: ;

[0109] Calculate the denominator: ;

[0110] Calculate the calibration temperature value: ;

[0111] Result description:

[0112] Represents the temperature reading after calibration and adjustment for signal attenuation.

[0113] formula:

[0114] ;

[0115] Parameter explanation and setting:

[0116] : Original pressure data, set to 120 mmHg (normal blood pressure);

[0117] : Pressure adjustment coefficient, set to 1.1;

[0118] : Pressure baseline offset, set to 5 mmHg;

[0119] Signal attenuation coefficient, set to -0.1;

[0120] Calculation process:

[0121] Calculate the signal attenuation part: ;

[0122] Calculate the denominator: ;

[0123] Calculate the adjusted pressure value: ;

[0124] Result description:

[0125] Represents the pressure reading after calibration and adjustment for signal attenuation.

[0126] formula:

[0127] ;

[0128] Parameter explanation and setting:

[0129] : The coordinates of the wound boundary in the image, set to 4 (set pixel unit);

[0130] : The resolution adjustment factor of image capture is set to -0.3;

[0131] Calculation process:

[0132] Calculate the signal attenuation part: ;

[0133] Calculate the denominator: ;

[0134] Calculate the distance between two points: units;

[0135] Result description:

[0136] The units represent the wound size measured after adjusting for resolution.

[0137] formula:

[0138] ;

[0139] Parameter explanation and setting:

[0140] : Calibration temperature data set, set to ;

[0141] : Pressure adjustment data set, set to ;

[0142] : Wound size dataset, set to [1.53units];

[0143] : The weight adjustment coefficient for data integration is set to -0.5 (assumed value);

[0144] Calculation process:

[0145] Calculate the signal attenuation part: ;

[0146] Calculate the denominator: ;

[0147] Calculation of comprehensive wound index: ;

[0148] Result description:

[0149] It stands for comprehensive wound index, which is an abstract quantitative value reflecting the combined effect of temperature, pressure and size data, with reference to the signal attenuation of the data.

[0150] See also Figure 3 , the specific steps for obtaining the pressure adjustment instruction are:

[0151] Based on the wound indicator data set and compared with the preset healing trajectory, the formula is used:

[0152] ;

[0153] Calculate the standardized deviation between the healing progress and the expected target to obtain the healing progress deviation;

[0154] Among them, V represents the healing progress deviation, D represents the current healing data, Represents preset healing trajectory data;

[0155] According to the healing progress deviation, the formula is used:

[0156] ;

[0157] Calculate the pressure ratio that needs to be adjusted to obtain the pressure adjustment ratio;

[0158] in, represents the pressure adjustment ratio, e is the base of the natural logarithm, The strength of the effect of the adjustment bias on the results;

[0159] Use the pressure adjustment ratio, combined with the current pressure setting, using the formula:

[0160] ;

[0161] Calculate new pressure settings and generate pressure adjustment instructions;

[0162] in, represents the new pressure setting, Set for the current pressure.

[0163] formula:

[0164] ;

[0165] Parameter definition and acquisition:

[0166] : Current healing data, set to be obtained through daily monitoring of wound size or healing status. For example, a reasonable healing data is progress of healing.

[0167] : A preset healing trajectory, based on past cases or medical guidelines, set progress of healing.

[0168] Calculation example:

[0169] set up , indicating that the current healing progress is .

[0170] set up , indicating that the preset healing trajectory is .

[0171] Calculation process:

[0172] ;

[0173] result It means that the current healing progress is about 1.118 standard deviations below the expected target, which is a quantitative deviation measure.

[0174] formula:

[0175] ;

[0176] Parameter definition and acquisition:

[0177] : Healing progress deviation.

[0178] : The adjustment factor is set based on clinical experience and is set to 2, which is a commonly used value to balance sensitivity.

[0179] Calculation example:

[0180] Use the previous calculation .

[0181] .

[0182] Calculation process:

[0183] ;

[0184] result Indicates that based on the current deviation, the pressure should be adjusted to the original .

[0185] formula:

[0186] ;

[0187] Parameter definition and acquisition:

[0188] : Current pressure setting, according to the standard setting value of the equipment, set the current pressure to 50 units.

[0189] Pressure adjustment ratio.

[0190] Calculation example:

[0191] .

[0192] .

[0193] Calculation process:

[0194] ;

[0195] result This indicates that the new pressure setting should be adjusted to 46.6 units, reflecting the reduction in pressure based on the healing deviation.

[0196] See also Figure 4 , the specific steps for obtaining the weighted parameter results are:

[0197] Based on the depth and area of ​​the wound, as well as the infection status and age of the patient, each data item is initially weighted according to its clinical importance in affecting wound recovery, using the formula:

[0198] ;

[0199] Calculate preliminary weight analysis results;

[0200] in, represents the initial weight of the data item, represents the clinical importance score of the data item, is the influence amplification factor, is the base of natural logarithms;

[0201] Normalize the preliminary weight analysis results to ensure that the sum of the weights is 1, using the formula:

[0202] ;

[0203] Calculate normalized weights;

[0204] in, represents the normalized weight;

[0205] Combine the normalized weights and the corresponding data item values, and use the formula:

[0206] ;

[0207] Calculate the weighted data analysis results and generate weighted parameter results;

[0208] in, represents the weighted parameter result, Represents the numeric value of each data item.

[0209] formula:

[0210] ;

[0211] in:

[0212] : Preliminary weights of data items;

[0213] : Influence amplification factor, used to adjust the sensitivity of the model, set to 0.5, indicating medium sensitivity.

[0214] : The clinical importance score of the data item. The value is assessed based on expert experience or historical data. is 2 (on a scale of 1 to 5).

[0215] : The base of the natural logarithm, approximately 2.71828.

[0216] Calculation example:

[0217] Set the importance score for wound depth :

[0218] ;

[0219] This means that the initial weight for wound depth is 0.731.

[0220] formula:

[0221] ;

[0222] Calculation example:

[0223] There are three data items, and the initial weights are :

[0224] ;

[0225] This means that wound depth accounts for approximately .

[0226] formula:

[0227] ;

[0228] in:

[0229] : Weighted parameter result, which means the result after comprehensive reference to all data items.

[0230] : Normalized weights.

[0231] : The numerical value of the data item, for example, the wound depth is 3cm.

[0232] Calculation example:

[0233] Set the value of a data item (wound depth, unit: cm), normalized weight :

[0234] ;

[0235] This means that the weighted result is 0.568, a value that represents some measure of wound recovery assessed based on the current data.

[0236] See also Figure 5 , the specific steps for obtaining real-time pressure feedback are:

[0237] Based on the pressure adjustment instructions and weighted parameter results, operate the negative pressure sealing drainage device and set the target pressure level using the formula:

[0238] ;

[0239] Generate target pressure settings;

[0240] in, represents the target pressure setting;

[0241] Based on the target pressure setting, adjust the device to the recommended pressure level using the formula:

[0242] ;

[0243] Calculate new set pressure;

[0244] in, Represents the set pressure, represents the adjustment sensitivity coefficient, Represents the previous pressure reading;

[0245] Monitor the equipment execution status and real-time pressure data to obtain the current actual pressure , compare the new set pressure with the actual pressure, using the formula:

[0246] ;

[0247] Generate real-time pressure feedback;

[0248] in, represents the actual pressure read from the sensor, Represents pressure deviation and is used to indicate the precision and immediate effect of equipment adjustments.

[0249] formula:

[0250] ;

[0251] in:

[0252] : New pressure adjustment instructions are set by medical professionals based on the patient's current treatment needs.

[0253] : Weighted parameter results, adjusted based on the patient's wound healing rate or other clinical indicators.

[0254] : Calculated target pressure.

[0255] Derivation by example;

[0256] set up:

[0257] , represents the target pressure set during treatment.

[0258] , represents the coefficient adjusted according to the patient's recovery progress.

[0259] calculate:

[0260] ;

[0261] The results indicated that the adjusted target pressure should be 60 mmHg based on the patient's current condition.

[0262] formula:

[0263] ;

[0264] in:

[0265] : Sensitivity adjustment coefficient, used to control the responsiveness of pressure adjustment.

[0266] : Previous pressure reading, obtained from the equipment monitoring system.

[0267] Derivation by example;

[0268] set up:

[0269] , lower responsiveness, suitable for stable adjustment.

[0270] , previous pressure reading.

[0271] calculate:

[0272] ;

[0273] The results indicate that the set pressure should be adjusted to approximately 54 mmHg to slowly approach the target pressure.

[0274] formula:

[0275] ;

[0276] in:

[0277] : Actual pressure, read in real time by the sensor.

[0278] Derivation by example;

[0279] set up:

[0280] , the actual measured pressure.

[0281] calculate:

[0282] ;

[0283] A slightly negative value indicates that the actual pressure is slightly higher than the set pressure and needs fine-tuning.

[0284] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A negative pressure closed drainage pressure control system, characterized in that: The system comprises: The wound index monitoring module is based on connecting the temperature sensor to the affected area through the drainage tube to collect temperature data in real time. Through the pressure sensor, it continuously monitors the pressure changes and combines the image capture of the closed environment to measure the current size of the wound. The data is uniformly transmitted to the central database and merged to form a wound index data set. The steps for obtaining the wound index data set are specifically as follows: The temperature data of the affected area is collected in real time through the temperature sensor connected to the drainage tube, using the formula: ； Calculate the calibration temperature value of each acquisition point to obtain a calibration temperature data set; in, Representative The calibration temperature value of each collection point, Representative The original temperature data of the collection points, represents the temperature calibration coefficient, represents the baseline temperature shift, represents the signal attenuation coefficient from the temperature sensor to the central processing unit, is the base of natural logarithms; Use a continuously monitored pressure sensor to collect pressure change data using the formula: ； Obtaining a pressure-adjusted data set; in, For the Adjusted pressure data for each collection point, For the The original pressure data of each acquisition point, represents the pressure adjustment factor, is the pressure baseline offset, Represents the signal attenuation factor from the pressure sensor to the central processing unit, is the base of natural logarithms; Wound size was measured by an image capture system in a closed environment using the formula: ； Generate wound size dataset; in, Representative Wound size at each time point, represents the coordinates of the wound boundary in the image, Represents the resolution adjustment factor of image capture, is the base of natural logarithms; The calibration temperature data set, the pressure adjustment data set and the wound size data set are analyzed using the formula: ； Calculate and generate wound indicator data sets; in, Represents wound assessment indicators, represents the calibration temperature in the temperature dataset, represents the adjusted pressure in the pressure dataset, Represents wound size data, Represents the weight adjustment coefficient when integrating data, is the base of natural logarithms; The pressure analysis module compares the multiple data with the preset healing trajectory based on the wound indicator data set, calculates the deviation between the current healing progress and the expected target, evaluates whether the pressure needs to be adjusted, and generates a pressure adjustment instruction; The steps for obtaining the pressure adjustment instruction are specifically as follows: Based on the wound indicator data set and compared with the preset healing trajectory, the formula is used: ； Calculate the standardized deviation between the healing progress and the expected target to obtain the healing progress deviation; Among them, V represents the healing progress deviation, D represents the current healing data, Represents preset healing trajectory data; Based on the healing progress deviation, the formula is used: ； Calculate the pressure ratio that needs to be adjusted to obtain the pressure adjustment ratio; in, represents the pressure adjustment ratio, e is the base of the natural logarithm, The strength of the effect of the adjustment bias on the results; Using the pressure adjustment ratio, combined with the current pressure setting, the formula is: ； Calculate new pressure settings and generate pressure adjustment instructions; in, represents the new pressure setting, Set for current pressure; The parameter weight calculation module analyzes and assigns weights to multiple data items based on the depth and area data of the wound, as well as the infection status and age of the patient. It determines the influence of multiple data items by referring to the influence of each data item on wound recovery, outputs the weighted data analysis results, and generates weighted parameter results. The pressure regulation execution module operates the negative pressure sealing drainage device based on the pressure adjustment instruction and the weighted parameter result, adjusts it to the recommended pressure level, monitors the device execution status and real-time pressure data, feeds back the adjustment result, and generates real-time pressure feedback.

2. The negative pressure sealing drainage pressure control system according to claim 1, characterized in that: The steps for obtaining the weighted parameter result are specifically as follows: Based on the depth and area of ​​the wound, as well as the infection status and age of the patient, each data item is initially weighted according to its clinical importance in affecting wound recovery, using the formula: ； Calculate preliminary weight analysis results; in, represents the initial weight of the data item, represents the clinical importance score of the data item, is the influence amplification factor, is the base of natural logarithms; The preliminary weight analysis results are normalized to ensure that the sum of the weights is 1, using the formula: ； Calculate normalized weights; in, represents the normalized weight; Combining the normalized weights and the corresponding data item values, the formula is adopted: ； Calculate the weighted data analysis results and generate weighted parameter results; in, represents the weighted parameter result, Represents the numeric value of each data item.

3. The negative pressure sealing drainage pressure control system according to claim 2, characterized in that: The steps for obtaining the real-time pressure feedback are specifically as follows: Based on the pressure adjustment instruction and the weighted parameter result, the negative pressure sealing drainage device is operated to set the target pressure level using the formula: ； Generate target pressure settings; in, represents the target pressure setting; Based on the target pressure setting, adjust the device to the recommended pressure level using the formula: ； Calculate new set pressure; in, Represents the set pressure, represents the adjustment sensitivity coefficient, Represents the previous pressure reading; Monitor the equipment execution status and real-time pressure data to obtain the current actual pressure , compare the new set pressure with the actual pressure, using the formula: ； Generate real-time pressure feedback; in, represents the actual pressure read from the sensor, Represents pressure deviation and is used to indicate the precision and immediate effect of equipment adjustments.

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