An adaptive wound treatment apparatus for a wound infection recognition system

Abstract

The application discloses a kind of invasive surface infection identification system's self-adapting wound surface treatment equipment, it is related to wound surface treatment equipment technical field.The present application includes online monitoring module, intelligent machine, superoxidized water storage and delivery module and negative pressure drainage module, the online monitoring module includes gas fingerprint identification module and liquid antibody fluorescence color developing biochip module, the CPU and database are built in the intelligent machine, and the intelligent machine is electrically connected with online monitoring module, superoxidized water storage and delivery module, negative pressure drainage module respectively.The present application realizes the real-time determination of wound flora species and concentration by the synergistic monitoring of gas fingerprint identification module and liquid antibody fluorescence color developing biochip module, solves the problem of traditional detection method lag, missed detection, and the intelligent machine adjusts the concentration of negative pressure value and superoxidized water, use frequency according to monitoring data, so that treatment scheme always fits wound healing state, improves infection control efficiency and wound repair speed.

Description

Technical Field

[0001] This invention belongs to the technical field of wound treatment equipment, and in particular relates to an adaptive wound treatment device with a wound infection recognition system. Background Technology

[0002] Wound treatment is a crucial part of trauma repair, postoperative surgical care, and chronic ulcer management. Currently, commonly used wound treatment methods in clinical practice mainly include negative pressure drainage, antibacterial solution irrigation, or wet dressings. At the same time, it is necessary to develop a targeted treatment plan based on the results of wound microbiome testing.

[0003] Current technologies largely rely on microbial culture and smear microscopy. While microbial culture can accurately identify bacterial species, the culture cycle is as long as several days, making it difficult to meet the needs of real-time clinical treatment; moreover, it has stringent requirements for the culture conditions of special bacterial groups such as anaerobic and fastidious bacteria, which can easily lead to missed detections. Although smear microscopy is quick to perform, it can only observe bacterial morphology and cannot achieve accurate identification of bacterial species or quantitative analysis of concentration. Both detection methods have lag and limitations, which can easily delay the optimal time for infection control.

[0004] In existing treatment protocols, the negative pressure parameters, concentration of superoxide solution, and frequency of use in negative pressure drainage are mostly fixed. These settings cannot be adjusted in real-time according to changes in the wound microbiota and the state of tissue repair. For example, if high-concentration superoxide solution irrigation and high negative pressure drainage are still used after the wound infection has lessened and granulation tissue has begun to grow, it can easily irritate and damage the newly formed tissue. Conversely, when the infection worsens, a fixed low concentration of superoxide solution cannot effectively kill pathogens. This "one-size-fits-all" treatment approach results in low treatment efficiency and makes it difficult to balance bactericidal effects with tissue protection.

[0005] To address these issues, we provide an adaptive wound treatment device with a wound infection identification system. Summary of the Invention

[0006] The purpose of this invention is to provide an adaptive wound treatment device with a wound infection identification system, which solves the problems of the lag and limitations of the detection methods of existing detection devices, which easily delay the best time for infection control and cannot make real-time adjustments based on changes in wound flora and tissue repair status.

[0007] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution.

[0008] This invention relates to an adaptive wound treatment device with a wound infection identification system, comprising an online monitoring module, a smart device, a superoxide water storage and delivery module, and a negative pressure drainage module; The online monitoring module includes a gas fingerprint recognition module and a liquid antibody fluorescence colorimetric biochip module; The smart device has a built-in CPU and database, and is electrically connected to the online monitoring module, the superoxide water storage and transportation module, and the negative pressure drainage module. The superoxide water storage and transportation module is equipped with a superoxide water storage structure and a transportation structure; The negative pressure drainage module includes a foam dressing, a drainage tube, a biological semi-permeable membrane, and a negative pressure source. The drainage tube is placed inside the foam dressing, and the negative pressure source is connected to the drainage tube.

[0009] The present invention is further configured such that the gas fingerprint recognition module includes a carbon dioxide sensor, a water vapor sensor, a hydrogen sulfide sensor, and a microbial metabolic gaseous substance sensor.

[0010] The present invention is further configured such that the superoxide water storage structure of the superoxide water storage and transportation module is divided into three chambers, which respectively store superoxide water with concentrations of 5-10 mg / L, 10-30 mg / L, and 30-50 mg / L.

[0011] The present invention is further configured such that the negative pressure value of the negative pressure drainage module is adjustable within a range of 15-20 kPa.

[0012] The present invention is further configured such that the smart device has a built-in timing control module, and the timing control module is electrically connected to the negative pressure source of the negative pressure diversion module and the conveying structure of the superoxide water storage and conveying module.

[0013] The present invention is further configured such that the online monitoring module is a continuously operating system, and both the gas fingerprint recognition module and the liquid antibody fluorescence colorimetric biochip module communicate with the smartphone in real time.

[0014] The present invention is further configured such that the liquid antibody fluorescence colorimetric biochip module includes a fluorescence signal receiving component and an electrical signal conversion component.

[0015] The present invention is further configured such that the database of the smartphone stores gas characteristic spectral data corresponding to various bacterial communities.

[0016] The present invention is further configured such that the conveying structure of the superoxide water storage and conveying module includes two output ends: a spray head and a drip head.

[0017] A detection method for an adaptive wound treatment device with a wound infection identification system, comprising the following steps: S1. Gas sample collection: Place the probe of the gas fingerprint recognition module 1-3cm above the wound, set the collection frequency to once every 5 minutes, and the collection time to 30 seconds, to collect mixed gas samples produced by wound metabolism. S2. Gas fingerprint feature spectrum generation and analysis: The pre-processed gas sample is passed into the sensor array of the gas fingerprint recognition module to detect the content and proportion of carbon dioxide, water vapor and hydrogen sulfide in the sample, generate a gas fingerprint feature spectrum, and transmit the feature spectrum data to the smart machine for similarity matching with the feature spectrum of various pathogenic bacteria metabolic gases pre-stored in the database. S3. Exudate Sample Collection and Detection: Collect wound exudate samples into the detection area of ​​the liquid antibody fluorescence colorimetric biochip module. The specific antibodies on the biochip bind to bacterial metabolites and inflammatory markers in the exudate, exciting a fluorescence signal. The biochip converts the fluorescence signal intensity into an electrical signal and transmits it to the smart device. S4. Comprehensive assessment of microbial community and infection status: The intelligent machine qualitatively identifies the types of microbial community in the wound based on the matching results of the gas fingerprint feature spectrum, and quantitatively analyzes the concentration of microbial community based on the intensity of characteristic peaks. Combined with the marker concentration thresholds corresponding to the exudate electrical signal data, the degree of wound infection is comprehensively determined and divided into three levels: mild infection, moderate infection, and severe infection. The wound tissue repair status is also assessed simultaneously. S5. Real-time monitoring and updating: The online monitoring module continuously monitors in a loop according to the process of steps S1 to S4. The monitoring cycle is to update the data every hour. The smart machine compares the real-time monitoring data with historical data to analyze the trend of bacterial concentration changes and the evolution of infection status. S6. Abnormal Warning and Feedback: When the bacterial flora concentration is detected to increase by more than 20%, or the concentration of inflammatory markers exceeds the preset threshold, the intelligent machine will automatically trigger an abnormal warning and generate preliminary intervention suggestions, including the direction of superoxide water concentration adjustment and the range of negative pressure value correction, for medical staff to refer to or directly issue control instructions to the execution module.

[0018] The present invention has the following beneficial effects.

[0019] 1. This invention achieves real-time determination of the types and concentrations of wound flora through the collaborative monitoring of a gas fingerprint recognition module and a liquid antibody fluorescence colorimetric biochip module, solving the problems of lag and missed detection in traditional detection methods. The intelligent machine adjusts the negative pressure value, concentration and frequency of superoxide water based on the monitoring data, ensuring that the treatment plan always matches the wound healing state, thereby improving infection control efficiency and wound repair speed.

[0020] 2. This invention, by periodically pausing the negative pressure during negative pressure drainage and using superoxide water, allows the superoxide water to fully act on the wound during the negative pressure pause, making full contact with the wound tissue to exert a bactericidal effect. Afterwards, the negative pressure is restored to drain the excess superoxide water and bactericidal products. This fully combines the advantages of negative pressure drainage and superoxide water, effectively killing bacteria in the wound and promoting the repair and regeneration of wound tissue, thus solving the problems of limited bactericidal effect and poor wound repair effect of superoxide water in the prior art. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below.

[0022] Figure 1 This is a schematic diagram of an adaptive wound treatment device for a wound infection recognition system.

[0023] Figure 2 This is the main flowchart of an adaptive wound treatment device for an invasive infection recognition system.

[0024] Figure 3 This is a flowchart of gas fingerprint recognition monitoring in an adaptive wound treatment device of an invasive infection identification system.

[0025] Figure 4 This is a flowchart of the exudate biochip detection process in an adaptive wound treatment device for invasive infection identification system.

[0026] Figure 5 This is a flowchart illustrating the synergistic treatment process of negative pressure and superoxide water in an adaptive wound treatment device for an invasive infection identification system. Detailed Implementation

[0027] The technical solutions of the present invention will be described below with reference to the accompanying drawings. The described embodiments are only some embodiments of the present invention, and not all embodiments.

[0028] Please see Figure 1-5 The present invention is an adaptive wound treatment device with a wound infection identification system, comprising an online monitoring module, a smart machine, a superoxide water storage and delivery module, and a negative pressure drainage module; The online monitoring module includes a gas fingerprint recognition module and a liquid antibody fluorescence colorimetric biochip module; The smart device has a built-in CPU and database, and is electrically connected to the online monitoring module, the superoxide water storage and transportation module, and the negative pressure drainage module. The superoxide water storage and transportation module is equipped with a superoxide water storage structure and a transportation structure; The negative pressure drainage module includes a foam dressing, a drainage tube, a biological semi-permeable membrane, and a negative pressure source. The drainage tube is placed inside the foam dressing, and the negative pressure source is connected to the drainage tube.

[0029] The gas fingerprint recognition module includes a carbon dioxide sensor, a water vapor sensor, a hydrogen sulfide sensor, and a sensor for gaseous substances from bacterial metabolism.

[0030] The superoxide water storage and transportation module has a superoxide water storage structure divided into three chambers, which store superoxide water with concentrations of 5-10 mg / L, 10-30 mg / L, and 30-50 mg / L, respectively.

[0031] The negative pressure value of the negative pressure drainage module can be adjusted within the range of 15-20 kPa.

[0032] The smart device has a built-in timing control module, which is electrically connected to the negative pressure source of the negative pressure drainage module and the conveying structure of the superoxide water storage and conveying module.

[0033] The online monitoring module is a continuously operating system, and both the gas fingerprint recognition module and the liquid antibody fluorescence colorimetric biochip module communicate with the smartphone in real time.

[0034] The liquid antibody fluorescence chromogenic biochip module includes a fluorescence signal receiving component and an electrical signal conversion component.

[0035] The smartphone's database stores gas characteristic spectral data corresponding to various bacterial communities.

[0036] The superoxide water storage and delivery module has two output ends: a spray head and a drip head.

[0037] A detection method for an adaptive wound treatment device with a wound infection identification system, comprising the following steps: S1. Gas sample collection: Place the probe of the gas fingerprint recognition module 1-3cm above the wound, set the collection frequency to once every 5 minutes, and the collection time to 30 seconds, to collect mixed gas samples produced by wound metabolism. S2. Gas fingerprint feature spectrum generation and analysis: The pre-processed gas sample is passed into the sensor array of the gas fingerprint recognition module to detect the content and proportion of carbon dioxide, water vapor and hydrogen sulfide in the sample, generate a gas fingerprint feature spectrum, and transmit the feature spectrum data to the smart machine for similarity matching with the feature spectrum of various pathogenic bacteria metabolic gases pre-stored in the database. S3. Exudate Sample Collection and Detection: Collect wound exudate samples into the detection area of ​​the liquid antibody fluorescence colorimetric biochip module. The specific antibodies on the biochip bind to bacterial metabolites and inflammatory markers in the exudate, exciting a fluorescence signal. The biochip converts the fluorescence signal intensity into an electrical signal and transmits it to the smart device. S4. Comprehensive assessment of microbial community and infection status: The intelligent machine qualitatively identifies the types of microbial community in the wound based on the matching results of the gas fingerprint feature spectrum, and quantitatively analyzes the concentration of microbial community based on the intensity of characteristic peaks. Combined with the marker concentration thresholds corresponding to the exudate electrical signal data, the degree of wound infection is comprehensively determined and divided into three levels: mild infection, moderate infection, and severe infection. The wound tissue repair status is also assessed simultaneously. S5. Real-time monitoring and updating: The online monitoring module continuously monitors in a loop according to the process of steps S1 to S4. The monitoring cycle is to update the data every hour. The smart machine compares the real-time monitoring data with historical data to analyze the trend of bacterial concentration changes and the evolution of infection status. S6. Anomaly Warning and Feedback: When the bacterial flora concentration is detected to increase by more than 20%, or the concentration of inflammatory markers exceeds the preset threshold, the intelligent machine automatically triggers an anomaly warning and generates preliminary intervention suggestions, including the direction of superoxide water concentration adjustment and the range of negative pressure value correction, for medical staff to refer to or to directly issue control commands to the execution module.

[0038] Example 1 It is suitable for wounds with severe bacterial infection, characterized by excessive exudate, significant redness and swelling, and a high bacterial concentration indicating a clear inflammatory response.

[0039] The probe of the gas fingerprint recognition module was fixed 2cm above the wound, and the collection frequency was set to collect once every 5 minutes, with each collection lasting 30 seconds.

[0040] The superoxide water storage and delivery module is pre-loaded with superoxide water of three different concentrations: superoxide water A (30-50 mg / L), superoxide water B (10-30 mg / L), and superoxide water C (5-10 mg / L). Superoxide water A is selected by default initially.

[0041] The negative pressure drainage module selects an appropriate foam dressing to fill the wound based on the size of the wound. After laying the drainage tube, it is sealed with a biological semi-permeable membrane to form a closed drainage space. The intelligent machine sets the initial negative pressure value of the negative pressure source to 20 kPa. The intelligent machine retrieves the gas characteristic spectrum data corresponding to pathogens in the built-in database and completes the parameter initialization for matching and identification.

[0042] The gas fingerprint recognition module collects metabolic gas mixtures from the wound, detects the content and proportion of carbon dioxide, water vapor, and hydrogen sulfide, generates a gas fingerprint feature spectrum, and transmits it to the intelligent machine. The intelligent machine matches this spectrum with pathogenic bacteria feature spectra in the database, qualitatively identifying Staphylococcus aureus as the main pathogenic bacterium in the wound, and quantitatively analyzing the bacterial concentration based on the characteristic peak intensity, finding it to be in the high-value range.

[0043] Wound exudate is collected and placed in the detection area of ​​a liquid antibody fluorescent biochip. The chip-specific antibody binds to bacterial metabolites and inflammatory markers in the exudate, and the excited fluorescence signal is converted into an electrical signal and transmitted to the intelligent device. Combined with gas detection data, the intelligent device determines that the wound is severely infected.

[0044] The intelligent machine controls the negative pressure drainage module to continuously drain at a negative pressure of 20 kPa. At the same time, it starts the superoxide water storage and delivery module and delivers superoxide water A to the wound by spraying. The intelligent machine is set to a collaborative working mode, pausing the negative pressure drainage for 15 minutes every 4 hours. During this period, superoxide water A is continuously sprayed to ensure that the superoxide water fully contacts the wound for sterilization. After the negative pressure is restored, the excess superoxide water and sterilization products are discharged.

[0045] The online monitoring module performs cyclical monitoring every hour, and the intelligent machine compares real-time data with historical data. After 3 days of treatment, a 15% decrease in bacterial flora concentration and a reduction in inflammatory marker concentration were detected. The intelligent machine determined that the infection level had turned moderate and automatically switched the superoxide water to B (10-30 mg / L), while simultaneously adjusting the negative pressure value to 18 kPa.

[0046] After 7 days of treatment, the bacterial concentration decreased by more than 40%, the exudate was significantly reduced, the intelligent machine switched the superoxide water to C (5-10mg / L), the negative pressure value was reduced to 15kPa, and the superoxide water delivery method was changed to drip infusion to reduce the stimulation of wound tissue.

[0047] During treatment, if the bacterial concentration is detected to increase by more than 20% in a single instance, the intelligent machine will immediately trigger an abnormality warning, generate intervention suggestions, prompt medical staff to check for problems such as dressing leakage, and automatically switch the superoxide water back to a high concentration gradient. At the same time, the negative pressure value will be appropriately increased. When monitoring shows that the bacterial concentration is maintained in a low level range for 5 consecutive days, the granulation tissue of the wound grows well, and the exudate has basically disappeared, the intelligent machine will output a treatment termination suggestion, and the treatment will be ended after evaluation by medical staff.

[0048] Example 2 This embodiment is applicable to moderately infected chronic wounds, which have a long healing cycle, slow tissue repair, risk of recurrent infection, and relatively complex bacterial flora.

[0049] The fixed gas fingerprint recognition module probe is positioned 1.5cm above the wound, with a collection frequency of once every 5 minutes and a single collection duration of 30 seconds. The superoxide water storage and delivery module is pre-filled with superoxide water of three gradient concentrations (A, B, and C), with superoxide water B (10-30mg / L) selected initially. The negative pressure drainage module uses a suitable porous foam dressing to fill the wound, ensuring that the drainage tube fits the deep part of the wound. After closure, the intelligent machine sets the initial negative pressure value to 18kPa. The intelligent machine retrieves the mixed gas characteristic spectrum of multiple pathogens from the database and activates the multi-bacterial group collaborative recognition mode.

[0050] After the gas fingerprint recognition module collects a gas sample, the generated feature spectrum shows characteristic peaks of two pathogenic bacteria. The intelligent machine identifies it as a mixed infection of Escherichia coli and Pseudomonas aeruginosa through database matching. Quantitative analysis shows that the bacterial concentration is in the moderate range. The liquid antibody fluorescent colorimetric biochip detects the exudate, and the concentration of inflammatory markers is in the moderate threshold range. The intelligent machine comprehensively judges the wound as a moderately infected chronic wound with poor tissue repair. The intelligent machine controls the negative pressure drainage module to continuously drain at 18 kPa negative pressure, and the superoxide water storage and delivery module delivers superoxide water B by dripping. The synergistic cycle is set to pause the negative pressure for 12 minutes every 5 hours, drip in superoxide water B and keep the wound moist; after the negative pressure is restored, the waste liquid is discharged to ensure the synergistic effect of sterilization and drainage.

[0051] The online monitoring module updates data every hour, and the intelligent machine analyzes the trend of bacterial community concentration changes. After 5 days of treatment, the intensity of the characteristic peak of E. coli decreased by 30%, the concentration of Pseudomonas aeruginosa decreased by 25%, and the intelligent machine adjusted the negative pressure value to 16 kPa and reduced the frequency of superoxide water delivery by 10%.

[0052] Ten days after treatment, Pseudomonas aeruginosa was basically cleared, with only a small amount of Escherichia coli remaining. The intelligent machine switched the superoxide water to C (5-10 mg / L), and the negative pressure value was reduced to 15 kPa. At the same time, the interval between negative pressure pauses was extended to once every 6 hours to reduce the interference of treatment on the wound tissue. If the concentration of inflammatory markers suddenly increased, the intelligent machine triggered an alarm, automatically increased the frequency of superoxide water use, and briefly increased the negative pressure value to 18 kPa, while pushing the alarm information to medical staff.

[0053] When monitoring for 7 consecutive days shows that the bacterial flora has been completely cleared, the wound is fully covered with granulation tissue, and the exudate has disappeared, the intelligent machine indicates that the treatment is complete and the patient is transferred to the routine care stage.

[0054] Example 3 This embodiment is applicable to wounds with a low risk of infection after surgery. Such wounds have little initial exudate and mild inflammatory response, and the core requirements are to prevent infection and promote tissue repair.

[0055] The gas fingerprint recognition module probe is fixed 3cm above the wound, with a collection frequency of once every 5 minutes and a single collection duration of 30 seconds to reduce the interference of the probe on the wound.

[0056] The superoxide water storage and delivery module initially selects superoxide water C (5-10mg / L) with the goal of mild sterilization and protection of wound tissue. The negative pressure drainage module uses a thin foam dressing to cover the wound. After closure, the intelligent machine sets the initial negative pressure value to 15kPa to reduce the traction of negative pressure on the newly formed tissue. The intelligent machine retrieves the characteristic spectrum of common postoperative infectious bacteria from the database and activates the low concentration bacterial identification mode.

[0057] In the gas sample collected by the gas fingerprint recognition module, the characteristic peak intensity of pathogenic bacteria was weak. The intelligent machine quantitatively analyzed the bacterial community concentration and found it to be in the mild range. The liquid antibody fluorescence colorimetric biochip detected the exudate, and the concentration of inflammatory markers was below the moderate threshold. The intelligent machine comprehensively determined that the wound was in a state of mild infection risk with good tissue repair potential. The intelligent machine controlled the negative pressure drainage module to continuously drain at a negative pressure of 15 kPa. The superoxide water storage and delivery module delivered superoxide water C at a low frequency by spraying. The coordination cycle was set to pause the negative pressure for 10 minutes every 6 hours, keep the wound moist after spraying superoxide water C, and drain excess fluid after restoring negative pressure to avoid fluid accumulation.

[0058] The online monitoring module updates data every hour, and the intelligent machine compares and analyzes changes in bacterial concentration. After two days of treatment, the characteristic peaks of pathogenic bacteria have basically disappeared. The intelligent machine then reduces the frequency of superoxide water delivery by 50%, while maintaining the negative pressure value at 15 kPa.

[0059] Four days after treatment, the granulation tissue in the wound grew well. The intelligent machine further reduced the frequency of superoxide water use to 1-2 times per day, and the negative pressure drainage continued to run until the wound began to heal. If the bacterial concentration was detected to increase by more than 20%, the intelligent machine triggered an alarm, automatically switched the superoxide water to B (10-30mg / L), and appropriately shortened the negative pressure pause interval. At the same time, it notified medical staff to assess the wound condition.

[0060] When monitoring shows that the bacterial flora has been completely cleared for 3 consecutive days and the wound epidermis has begun to regenerate, the smart machine will indicate that the treatment can be stopped and the patient can switch to routine dressing and nursing care, thus reducing treatment costs and patient discomfort.

[0061] The preferred embodiments of the present invention disclosed above are only for the purpose of illustrating the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation described herein. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can better understand and utilize the present invention.

Claims

1. An adaptive wound treatment device with a wound infection recognition system, characterized in that: Includes an online monitoring module, a smart device, a superoxide water storage and transportation module, and a negative pressure drainage module; The online monitoring module includes a gas fingerprint recognition module and a liquid antibody fluorescence colorimetric biochip module; The intelligent machine has a built-in CPU and database, and is electrically connected to the online monitoring module, the superoxide water storage and transportation module, and the negative pressure drainage module, respectively. The superoxide water storage and transportation module is equipped with a superoxide water storage structure and a transportation structure; The negative pressure drainage module includes a foam dressing, a drainage tube, a biological semi-permeable membrane, and a negative pressure source. The drainage tube is disposed inside the foam dressing, and the negative pressure source is connected to the drainage tube.

2. The adaptive wound treatment device for a wound infection identification system according to claim 1, characterized in that: The gas fingerprint recognition module includes a carbon dioxide sensor, a water vapor sensor, a hydrogen sulfide sensor, and a sensor for gaseous substances from bacterial metabolism.

3. The adaptive wound treatment device for a wound infection identification system according to claim 1, characterized in that: The superoxide water storage and transportation module has a superoxide water storage structure divided into three chambers, which store superoxide water with concentrations of 5-10 mg / L, 10-30 mg / L, and 30-50 mg / L, respectively.

4. The adaptive wound treatment device for a wound infection identification system according to claim 1, characterized in that: The negative pressure value of the negative pressure drainage module can be adjusted within the range of 15-20 kPa.

5. The adaptive wound treatment device for a wound infection identification system according to claim 1, characterized in that: The smart device has a built-in timing control module, which is electrically connected to the negative pressure source of the negative pressure drainage module and the conveying structure of the superoxide water storage and conveying module.

6. The adaptive wound treatment device for a wound infection identification system according to claim 1, characterized in that: The online monitoring module is a continuously operating system, and both the gas fingerprint recognition module and the liquid antibody fluorescence colorimetric biochip module communicate with the smartphone in real time.

7. The adaptive wound treatment device for a wound infection identification system according to claim 1, characterized in that: The liquid antibody fluorescence chromogenic biochip module includes a fluorescence signal receiving component and an electrical signal conversion component.

8. The adaptive wound treatment device for a wound infection identification system according to claim 1, characterized in that: The database of the smart machine stores gas characteristic spectrum data corresponding to various bacterial communities.

9. An adaptive wound treatment device for a wound infection identification system according to claim 1, characterized in that: The superoxide water storage and transportation module has two output ends: a spray head and a drip head.

10. A detection method for an adaptive wound treatment device with a wound infection identification system, applied to the device according to any one of claims 1-9, characterized in that: Includes the following steps: S1. Gas sample collection: Place the probe of the gas fingerprint recognition module 1-3cm above the wound, set the collection frequency to once every 5 minutes, and the collection time to 30 seconds, to collect mixed gas samples produced by wound metabolism. S2. Gas fingerprint feature spectrum generation and analysis: The pre-processed gas sample is passed into the sensor array of the gas fingerprint recognition module to detect the content and proportion of carbon dioxide, water vapor and hydrogen sulfide in the sample, generate a gas fingerprint feature spectrum, and transmit the feature spectrum data to the smart machine for similarity matching with the feature spectrum of various pathogenic bacteria metabolic gases pre-stored in the database. S3. Exudate Sample Collection and Detection: Collect wound exudate samples into the detection area of ​​the liquid antibody fluorescence colorimetric biochip module. The specific antibodies on the biochip bind to bacterial metabolites and inflammatory markers in the exudate, exciting a fluorescence signal. The biochip converts the fluorescence signal intensity into an electrical signal and transmits it to the smart device. S4. Comprehensive assessment of microbial community and infection status: The intelligent machine qualitatively identifies the types of microbial community in the wound based on the matching results of the gas fingerprint feature spectrum, and quantitatively analyzes the concentration of microbial community based on the intensity of characteristic peaks. Combined with the marker concentration thresholds corresponding to the exudate electrical signal data, the degree of wound infection is comprehensively determined and divided into three levels: mild infection, moderate infection, and severe infection. The wound tissue repair status is also assessed simultaneously. S5. Real-time monitoring and updating: The online monitoring module continuously monitors in a loop according to the process of steps S1 to S4. The monitoring cycle is to update the data every hour. The smart machine compares the real-time monitoring data with historical data to analyze the trend of bacterial concentration changes and the evolution of infection status. S6. Abnormal Warning and Feedback: When the bacterial flora concentration is detected to increase by more than 20%, or the concentration of inflammatory markers exceeds the preset threshold, the intelligent machine will automatically trigger an abnormal warning and generate preliminary intervention suggestions, including the direction of superoxide water concentration adjustment and the range of negative pressure value correction, for medical staff to refer to or directly issue control instructions to the execution module.

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