Intelligent bionic dressing wound surface management system and method based on burns

Abstract

The invention relates to the technical field of intelligent treatment, in particular to an intelligent bionic dressing wound surface management system and method based on burns, and the system comprises a wound surface observation module, a change recognition module, a wound judgment module, a medicine adjustment module and a remote joint control module. According to the method, a region and time two-dimensional data matrix is constructed through multiple types of sensing structures, temperature, humidity and pH parameters are continuously collected, formats are unified and standardized, a continuous monitoring data set with numbering index and time sequence characteristics is formed, an offset track is extracted based on a difference value sequence, a region with a clear change trend is positioned, and abnormal states are screened. The change amplitude, the growth rate and the offset direction are fused to realize condition judgment and path distinguishing of drug release, a behavior record set of a corresponding number is generated, a remote interaction log channel is established by combining parameter contrast data before and after a behavior, and state recognition refinement, intervention response autonomy, information feedback synchronization and process management closed loop are realized.

Description

Technical Field

[0001] This invention relates to the field of intelligent treatment technology, and in particular to an intelligent bionic dressing wound management system and method based on burns. Background Technology

[0002] The field of intelligent treatment technology refers to a technological system that integrates artificial intelligence, bioinformatics, materials science, and sensor control to achieve intelligent treatment plans, automated treatment processes, and personalized medical interventions during disease diagnosis, treatment, and rehabilitation. Core aspects of this field include real-time monitoring of physiological parameters, intelligent assessment of disease progression, precise control of drug delivery, and personalized adjustments to rehabilitation training strategies. It is widely applied in clinical scenarios such as chronic disease management, postoperative rehabilitation, neuromodulation, and trauma management. With the development of intelligent wearable devices, biosensors, and biomaterials, intelligent treatment technology is gradually evolving from assistive medicine to leading treatment, forming a systematic solution characterized by data-driven approaches, intelligent decision-making, and responsive control. Traditional burn wound management, in particular, refers to the process of assessing the condition through human experience during burn treatment, using physical or medicated dressings to cover and change the wound to protect it, prevent infection, and promote healing. The technical issues addressed are the complex changes in wound condition, unclear timing of dressing changes, and difficulty in real-time monitoring of infection risks during burn wound management. Traditional methods typically address this problem by using single-function dressings containing silver ions or hydrocolloids, combined with regular observation and manual changes by medical staff. Wound management is based primarily on methods such as judging the amount of wound exudate, visually observing changes in wound color and temperature, and patient complaints of pain.

[0003] Existing technologies rely on intermittent manual judgment and passive feedback mechanisms, lacking a continuous quantitative expression of wound status. In practical applications, the inability to continuously capture parameter evolution trajectories easily leads to the neglect of early abnormal signs. When the wound is in a state of non-obvious change, medical staff find it difficult to make accurate judgments. The diagnostic process is significantly influenced by subjectivity, resulting in delayed treatment and missed opportunities. The discrete parameter recording methods make it difficult to support cross-time period data trend analysis. Drug control lacks response logic, and the release time depends on manual decision-making. Remote processing cannot achieve closed-loop tracking, leading to a disconnect between external intervention and the on-site situation. Summary of the Invention

[0004] To address the technical problems existing in the prior art, this invention provides an intelligent bionic dressing wound management system and method based on burns. The technical solution is as follows:

[0005] On the one hand, a smart bionic dressing wound management system based on burns is provided, the system comprising: The wound observation module collects the temperature, humidity, and pH value of the dressing, records them by region number, constructs a time-series matrix, marks the time and location, converts them into a standard format, and generates a wound time-series grid record map. The change recognition module calculates the time difference, marks the direction of change, filters the interval with the same direction based on three types of data in the same area of ​​the wound temporal grid record map, and generates the wound offset trajectory band. The trauma assessment module performs status screening on three types of values ​​based on the number and time period in the wound offset trajectory band. If both the offset trend and status are abnormal, the number is marked, an intervention label set is generated, and a risk intervention group under dressing is formed. The drug regulation module uses the data numbered in the risk intervention group under the dressing to determine the cumulative increase in temperature, the rate of humidity, and the pH acidity shift. When the conditions are met, it triggers the delay and the backup release channel, and generates a drug release behavior record set. The remote control module extracts data before and after the number from the drug release behavior record set to form a comparison sequence, generates a continuous behavior flow log, sends it to the doctor's end at regular intervals, registers the feedback operation, updates the status, and generates a remote control synchronous response sequence book.

[0006] As a further embodiment of the present invention, the wound temporal grid recording map includes a list of region numbers, a continuous time series, a set of multi-point temperature values, a set of humidity values, and a set of pH status values, a data row and column matrix structure, and a standardized recording format. The wound offset trajectory band includes the spatial location corresponding to the number, a continuous time period, a temperature change trajectory, a humidity change trajectory, a pH change trajectory, and an offset direction marker. The risk intervention zone group under the dressing includes an abnormal number set, a corresponding time range, a temperature abnormality label, a humidity abnormality label, a pH abnormality label, and an intervention target area identifier. The drug release behavior recording set includes a trigger number, release time point, cumulative temperature change value, humidity growth rate, pH acidity shift trend, and release channel type. The remote control synchronous response sequence book includes a behavior number, a before-and-after comparison data sequence, a continuous behavior log, doctor-transmitted processing instructions, and number status update information.

[0007] As a further aspect of the present invention, the definition of "abnormal offset trend and state" refers to the number in the wound offset trajectory band showing a continuous unidirectional offset within a specific time period, and the corresponding temperature, humidity, and pH value exceeding the normal threshold.

[0008] As a further aspect of the present invention, the definition of triggering the delay and backup release channel when the conditions are met refers to the simultaneous fulfillment of the following three conditions: the cumulative increase in temperature of the risk intervention number exceeds a set threshold, the rate of humidity change increases, and the pH value shows a continuous acidic shift, thereby triggering the delay release and backup channel mechanism.

[0009] As a further aspect of the present invention, the wound observation module includes: The data acquisition submodule acquires the thermal probe, moisture-sensitive transducer and acid-base response structure embedded in the back of the dressing covering the wound surface. It collects temperature, humidity and pH values ​​at multiple time points in a continuous time period. It sets area numbers according to the detection location, calls the area number list and fills each type of collected value into the corresponding number record in chronological order, generating a multidimensional observation raw data sequence. The monitoring matrix construction submodule obtains each type of numerical record according to the time and region dimensions based on the multidimensional observation raw data sequence, sets the corresponding row and column coordinate positions in the matrix according to the time point and region number, fills in the numerical items in the coordinate order, and marks the time point and region number of all row and column intersections in the matrix to establish a two-dimensional matrix set of observation parameters. The grid record generation submodule calls the temperature, humidity and pH values ​​of the matrix positions in the two-dimensional matrix of the observation parameters, extracts the values ​​of the monitoring area at continuous time points into a parameter set, organizes all parameter sets according to a unified data recording format, constructs a time series data table that conforms to the standard format, and draws a grid structure according to time and region to generate a wound time series grid record map.

[0010] As a further aspect of the present invention, the change recognition module includes: The difference calculation submodule is based on the temperature, humidity and pH values ​​of the same numbered area in the wound time-series grid record map at continuous time points. It sequentially obtains the value difference between adjacent time slices, performs a sign marking operation on the adjacent difference sequence of each value item, generates a set of change sign sequences in positive and negative directions, locates the positive and negative consistent segments in the continuous time period in each set, and generates a set of multi-parameter change direction sequences. The offset filtering submodule calls the positive and negative trend segments of the parameters in the multi-parameter change direction sequence set, and judges whether there is an inconsistency in the direction of the three types of values, namely temperature, humidity and pH, within a continuous time period. The segments with inconsistent directions are removed, and only the time segments with consistent change directions of the three types of values ​​are retained to generate a consistent offset time segment set. The trajectory construction submodule binds the corresponding numbered area coordinate information to the time period corresponding to the numbered area retained in the consistent offset time segment set, continuously marks the retained segments under the same area number in the time axis direction, establishes an offset continuous relationship sequence through number aggregation, obtains and organizes the spatial and temporal binding relationship, and generates the wound offset trajectory band.

[0011] As a further aspect of the present invention, the trauma determination module includes: The status screening submodule extracts the temperature, humidity and pH values ​​of the number in the wound offset trajectory band and the corresponding time period. It performs status judgment operation on each type of value according to the temperature status judgment criteria, humidity status judgment criteria and pH status judgment criteria, respectively, and constructs a structured information set of status results for the numbered time period to generate a three-parameter status judgment result set. The intervention identification submodule calls the status judgment results of the three-parameter status judgment result set number within the time period, and compares them with the offset trend direction of the corresponding number in the wound offset trajectory band. It identifies the number that simultaneously meets the conditions of having an offset trend and having at least two types of value status results that are abnormal, and removes the number positions that do not meet the conditions to obtain the set of intervention target numbers. The region marking submodule obtains the corresponding region location coordinate information for each number item in the intervention target number set, performs a marking operation in the region grid, aggregates the region locations covered by all intervention numbers according to the number dimension, marks them to form an intervention label set, and generates a risk intervention group under dressing.

[0012] As a further aspect of the present invention, the drug regulation module includes: The temperature and humidity change determination submodule is based on the time series of temperature and humidity values ​​corresponding to the number in the risk intervention zone group under the dressing. It performs an accumulation operation on the change value between adjacent time points for the temperature value of each number to obtain the cumulative change value. At the same time, it calculates the unit time increment value corresponding to the change value between adjacent time points for the humidity value. Then, it compares the humidity rate with the set humidity limit threshold to generate a temperature and humidity composite trigger condition group. The pH shift detection submodule calls the pH value time series corresponding to the number in the risk intervention zone group under the dressing and the temperature and humidity combined triggering condition group to make a directional judgment on the pH value change trend, filter the numbers with the shift direction being acidic, and then make a difference sequence judgment on the temperature value change trend to identify the set of numbers with jump direction change characteristics and generate a set of common acid jump numbers. The release behavior registration submodule records the trigger type and number index of the release channel in the behavior control logic according to the number of the delayed release condition in the temperature and humidity composite trigger condition group and the number of the backup release channel trigger condition in the acid jump common number set, and registers the number and release behavior information in the unified behavior log to establish a drug release behavior record set.

[0013] As a further aspect of the present invention, the remote control module includes: The data comparison and splicing submodule is based on the regulation number and behavior time point recorded in the drug release behavior record set. It obtains the temperature, humidity and pH values ​​of the corresponding number at two times before and after the behavior time point. It performs dual time point comparison and arrangement operation on the three types of values, constructs a sequence structure with the number as the index unit, and splices them into a continuous record stream in the order of behavior time to generate the numbered behavior comparison data stream. The data segment sending submodule calls the numbered behavior information that is continuously spliced ​​in the numbered behavior reference data stream, performs data segmentation and packaging processing on the behavior record content according to the set time frequency rules, extracts the number range and behavior time range of each data segment, constructs a formatted data encapsulation structure for the doctor's end and completes the remote sending task, obtains the corresponding response channel return content, and obtains the doctor's processing response content set. The instruction synchronization registration submodule adjusts the corresponding number to establish a synchronization registration structure between the number and the instruction based on each processing instruction recorded in the doctor's processing response content set, writes the instruction content back to the number status table, completes the update operation of the number behavior status, and establishes a remote control synchronization response sequence book.

[0014] On the other hand, a burn-based intelligent bionic dressing wound management method, which is executed based on the aforementioned burn-based intelligent bionic dressing wound management system, includes the following steps: S1: Obtain the temperature, humidity and pH value of the thermal probe, humidity sensor and acid-base response structure in the monitoring number area, fill in the corresponding record sequence in time order, combine the time point and number position to form a structural grid, and generate a wound temporal grid record map. S2: Call the time point values ​​of the same numbered area in the wound temporal grid record map, calculate the difference between adjacent time values, determine the direction of change and filter the record segments with continuous directions, bind the number and time to obtain the wound offset trajectory band; S3: Call the three types of values ​​in the numbered area of ​​the wound offset trajectory band to determine whether there are two or more abnormal states in temperature, humidity and pH, filter the numbers that meet the conditions and merge them into a target set to form a risk intervention group under dressing; S4: Call the time record numbered in the risk intervention group under the dressing, determine whether the temperature change continues to increase, whether the humidity increase is too high, whether the pH is too acidic and accompanied by temperature jump, register the release behavior, and generate a drug release behavior record set; S5: Call the number and time point in the drug release behavior record set, extract the three types of values ​​before and after the behavior to construct a control sequence, splice the numbered records, package them into data content and register the processing information, and generate a remote control synchronous response sequence book.

[0015] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: By constructing a data matrix with regional and temporal dimensions through multiple types of sensing structures, temperature, humidity, and pH parameters are continuously collected and standardized in a unified format to form a continuous monitoring dataset with numbered indexes and temporal characteristics. Based on the difference sequence, the offset trajectory is extracted to locate areas with clear change trends and screen abnormal states. By integrating the change amplitude, growth rate, and offset direction, the conditions for drug release are determined and the path is distinguished, generating a set of behavior records with corresponding numbers. By combining the parameter comparison data before and after the behavior, a remote interactive log channel is established to achieve refined state recognition, autonomous intervention response, synchronized information feedback, and closed-loop process management. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a system schematic diagram of the present invention; Figure 2 This is a schematic diagram of the system framework of the present invention; Figure 3 This is a flowchart of the wound observation module in this invention; Figure 4 This is a flowchart of the change recognition module in this invention; Figure 5 This is a flowchart of the trauma determination module in this invention; Figure 6 This is a flowchart of the drug regulation module in this invention; Figure 7 This is a flowchart of the remote control module in this invention; Figure 8 This is a flowchart of the method of the present invention. Detailed Implementation

[0018] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0019] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0020] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0021] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0022] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0023] This invention provides an intelligent bionic dressing wound management system based on burns, such as... Figure 1-2 The diagram shown illustrates a smart bionic dressing wound management system based on burn treatment. This system includes: The wound observation module acquires multiple temperature, moisture, and pH values ​​from the thermal probe, moisture-sensitive transducer, and acid-base responsive structure embedded on the back of the dressing covering the wound surface over a continuous period of time. It establishes a list of monitoring area numbers, fills each value into the corresponding numbered record in chronological order, constructs a continuous monitoring data row and column matrix, marks the observation time point and area location corresponding to the matrix intersection, organizes the parameters corresponding to the time of the area, converts them into a standard record format, and generates a wound time-series grid record diagram. The change recognition module calls the same numbered area in the wound temporal grid record map, extracts three types of recorded values ​​of temperature, humidity and pH at continuous time points, calculates the difference between adjacent time slices in turn, marks the difference set with positive and negative changes, filters out time periods with consistent offset direction, judges whether the offset direction is continuous and consistent for the change trend, excludes time periods with continuous offset but inconsistent direction, retains the offset trajectory and binds it to the position of the numbered area to obtain the wound offset trajectory band. The trauma assessment module performs multiple status screenings on the temperature, humidity, and pH values ​​of the number within the specified time period based on the number in the wound offset trajectory band. It sets status judgment criteria for each type of value, compares the offset trend with the status judgment results, and if both status judgment results are abnormal, it binds the current number as the intervention target, marks the area where the intervention target is located to form an intervention tag set, and forms a risk intervention group under the dressing. The drug regulation module performs cumulative growth judgment on temperature changes and growth rate analysis on humidity changes within the time series based on the value sequence corresponding to multiple numbers in the risk intervention group under the dressing. At the same time, it detects the acidity shift direction of pH changes. If the cumulative temperature change is positive and the humidity rate exceeds the set humidity threshold, a delayed release behavior is triggered. If the pH value shift direction is acidic and the temperature fluctuation direction is abrupt, the backup release channel is called simultaneously, the number and behavior record are registered, and a drug release behavior record set is generated. The remote control module calls the adjustment number and behavior time point recorded in the drug release behavior record set, and performs a dual time point comparison of the temperature, humidity and pH value before and after the behavior for the number. It forms a control sequence according to the number and time, splices the control data group into a continuous behavior stream log, packages it into outgoing data segments at a timed frequency, sends the packaged content to the doctor's terminal and receives the processing operation returned by the doctor, registers the processing content and updates the status of the number record, and generates a remote control synchronous response sequence book.

[0024] The wound temporal grid record map includes a list of region numbers, continuous time series, sets of multi-point temperature values, sets of humidity values ​​and pH status values, a data row and column matrix structure and a standardized recording format. The wound offset trajectory band includes the spatial location corresponding to the number, continuous time period, temperature change trajectory, humidity change trajectory and pH change trajectory, and offset direction marker. The risk intervention zone under the dressing includes an abnormal number set, corresponding time range, temperature abnormality label, humidity abnormality label and pH abnormality label, and intervention target area identifier. The drug release behavior record set includes trigger number, release time point, cumulative temperature change value, humidity growth rate, pH acidity shift trend and release channel type. The remote control synchronous response sequence book includes behavior number, before and after comparison data sequence, continuous behavior log, doctor's feedback processing instructions and number status update information.

[0025] Specifically, such as Figure 2 , 3 As shown, the wound observation module includes: The data acquisition submodule acquires the thermal probe, moisture-sensitive transducer and acid-base response structure embedded in the back of the dressing covering the wound surface. It collects temperature, humidity and pH values ​​at multiple time points in a continuous time period. It sets area numbers according to the detection location, calls the area number list and fills each type of collected value into the corresponding number record in chronological order, generating a multidimensional observation raw data sequence. The thermal probe, moisture-sensitive transducer, and acid-base responsive structure embedded in the back of the dressing covering the wound surface were obtained. For the thermal probe, it was first confirmed to be a high-sensitivity medical-grade PT100 sensor, capable of accurate temperature acquisition within the range of 27℃ to 45℃ with an error not exceeding ±0.2℃. During wound dressing, the sensor was embedded in the back of the dressing at regular 2cm intervals, ensuring complete contact with the wound surface and guaranteeing accurate and effective temperature acquisition. When dividing the wound into 6cm × 6cm areas, it was divided into 9 equal parts. Small blocks, numbered sequentially from Z01 to Z09, each corresponding to a temperature, humidity, and pH sensor. Data collection is performed every 10 minutes for a total duration of 8 hours, comprising 48 time points. At each time point, temperature probes numbered T01 to T09 are activated sequentially to collect the temperature value of the corresponding area. Then, humidity sensors numbered H01 to H09 are activated to collect humidity values. Finally, the voltage values ​​output by pH response modules numbered P01 to P09 are read, and the data is processed according to pre-defined parameters. Assuming the voltage-pH calibration table is converted to pH value, all acquired data will access a list of data acquisition area numbers, using Z01 to Z09 as primary keys. For each number, data points will be sequentially entered, including time, temperature, humidity, and pH value. If the acquired temperature exceeds 40℃, it will be considered overheated based on a set threshold. This threshold is set with reference to clinical wound infection temperature standards (the surface temperature of skin in commonly infected exudative wounds generally exceeds 39℃), therefore 40℃ is chosen as the safe upper limit. Humidity above 85% will be marked as abnormal exudation. Based on the recommended physiological moisture range of 45%-80% in wound management research, exceeding 85% may cause blistering or infection. If the pH value exceeds 8.0 or is lower than 5.0, it is judged as alkaline or acidic abnormality. This setting is based on the optimal pH range of 5.5 to 7.5 during the healing process of healthy wounds. Therefore, a reasonable threshold range of 5.0 to 8.0 is set. Finally, all values ​​are recorded in the corresponding data structure according to the number and time series, forming the original time series observation records of the three types of parameters in each region, generating a multidimensional observation original data sequence.

[0026] The monitoring matrix construction submodule obtains each type of numerical record according to the time and region dimensions based on the multidimensional observation raw data sequence, sets the corresponding row and column coordinate positions in the matrix according to the time point and region number, fills in the numerical items in the coordinate order, and marks the time point and region number of all row and column intersections in the matrix to establish a two-dimensional matrix set of observation parameters. After acquiring the original multidimensional observation data sequence, the temperature, humidity, and pH data were matrixed. First, for temperature values, each region number in the original record was used as a column index (e.g., Z01 to Z09), corresponding to 9 columns of the matrix. Each 10-minute time point was used as a row index, resulting in 48 time points corresponding to 48 rows of the matrix, constructing a 48×9 temperature data matrix. During data filling, the extracted temperature value T_jk was entered at each time point t_k and region Z_j. The same steps were performed on the humidity and pH matrices, constructing 48×9 humidity and pH matrices respectively. During construction, the status of each matrix element was judged. For example, in the temperature matrix, if T_jk > 40℃, the marker field was set to "Temperature Anomaly" at that position; in the humidity matrix, if H_jk < 45% or > 85%, it was marked as "No Temperature Anomaly". "Abnormal Humidity" In the pH matrix, if P_jk < 5.0 or > 8.0, it is marked as "Abnormal pH". All abnormal judgment benchmark values ​​are derived from clinical guidance standards and previous experimental data sampling. By analyzing the effective recovery data of 50 cases of wound healing in the past, it was found that the temperature range is concentrated between 32℃ and 38℃, the humidity range is concentrated between 50% and 75%, and the pH value range is concentrated between 6.0 and 7.0. Therefore, the upper and lower limits are extended outward and set as judgment benchmark values. Specifically, the abnormal temperature threshold is 40℃, the abnormal humidity threshold is 45% and 85%, and the abnormal pH threshold is 5.0 and 8.0. After the matrix is ​​constructed, row and column labels are automatically generated for all matrix intersections. Each parameter matrix is ​​arranged with time point as row and region number as column. Data alignment and complete structure filling are completed by index function. In the subsequent calling stage, the observation values ​​of each parameter at any time and region can be directly extracted, and a two-dimensional matrix set of observation parameters can be generated.

[0027] The grid record generation submodule calls the temperature, humidity and pH values ​​of the matrix position in the two-dimensional matrix of observation parameters, extracts the values ​​of the monitoring area at continuous time points into a parameter set, organizes all parameter sets according to a unified data recording format, constructs a time series data table that conforms to the standard format, and draws a grid structure according to time and region to generate a wound time series grid record map. Using the three constructed two-dimensional observation matrices, the time series of each region Z_j is extracted into an independent parameter set. Specifically, all T_jk value sequences under the Z_j column are extracted from the temperature matrix, the corresponding H_jk sequences are extracted from the humidity matrix, and the P_jk sequences are extracted from the pH matrix. The three types of data are combined in the same time point order to generate parameter record triplets for each time point. For example, the observed values ​​of region Z04 at time t10 are T_410=35.3℃, H_410=72.4%, and P_410=6.8, recorded as (35.3, 72.4, 6.8). 48 sets of data are generated for all time points, forming a complete time series record table for this region. Each row in the table is a record of a time point, filled with temperature, humidity, and pH in sequence. The same operation was repeated for all 9 regions using the three parameters H, resulting in 9 regional time series tables. Subsequently, a grid plot was created, with time points set as the horizontal axis and region numbers as the vertical axis. The three parameters were visualized: temperature was represented by color depth (higher temperatures, darker colors), humidity by icon size, and pH by the color of the bar borders. During plotting, all cells were iterated to check for any abnormal values. If any parameter exceeded the aforementioned threshold, a red border was drawn around the cell; otherwise, the cell's default style was maintained. Each cell in the grid plot corresponds to an intersection of Z_j and t_k, and the numbers were matched using a positioning function to generate a wound time series grid record.

[0028] Specifically, such as Figure 2 , 4 As shown, the change recognition module includes: The difference calculation submodule is based on the temperature, humidity and pH values ​​of the same numbered area at continuous time points in the wound time sequence grid record map. It sequentially obtains the value difference between adjacent time slices, performs a sign marking operation on the adjacent difference sequence of each value item, generates a set of change sign sequences according to the positive and negative directions, locates the positive and negative consistent segments in the continuous time period in each set, and generates a set of multi-parameter change direction sequences. Based on the temperature, humidity, and pH values ​​recorded at consecutive time points for the same numbered region in the wound time-series grid record map, the values ​​for each region were first extracted. Taking region Z07 as an example, the temperature values ​​collected at time points t1 to t6 were 32.5℃, 32.9℃, 33.4℃, 33.7℃, 33.2℃, and 32.6℃, the humidity values ​​were 60.2%, 61.0%, 62.1%, 62.5%, 62.0%, and 61.3%, and the pH values ​​were 6.4, 6.5, and 6.7. Steps 6.8, 6.7, and 6.5 sequentially calculate the difference between adjacent time slices for each value category. The difference sequence is generated by subtracting the previous time point value from the current value, resulting in temperature differences of +0.4, +0.5, +0.3, -0.5, and -0.6; humidity differences of +0.8%, +1.1%, +0.4%, -0.5%, and -0.7%; and pH differences of +0.1, +0.2, +0.1, -0.1, and -0.2. Next, a sign-marking operation is performed on each difference item. The process involves determining the sign of the difference, marking positive numbers as "+" and negative numbers as "-", and marking 0 as "0" if the difference is 0. The sign of the temperature difference in region Z07 is "+++--". Humidity and pH also have "+++--" symbol sequences with the same structure. After processing, the symbol sequences of each parameter are stored in their respective datasets. A traversal operation is performed on each dataset to locate all time segments with the same consecutive symbols and mark their start and end times. For example, in temperature, "+++" represents a continuous positive change segment with a start time of t1 and an end time of t4. Similarly, humidity and pH have the same positive and subsequent negative segments recorded. The shortest continuous consistent segment must cover two or more difference points. Therefore, a single change segment such as "+-+" will be broken down and only the continuous segments of "+" or "-" will be marked. Finally, a set of change direction sequences for temperature, humidity, and pH is established for each numbered region, and the specific time range and direction type of each direction segment are recorded to form a multi-parameter change direction sequence set.

[0029] The offset filtering submodule calls the positive and negative trend segments of the parameters in the multi-parameter change direction sequence set, and judges whether there is an inconsistency in the direction of the three types of values ​​(temperature, humidity, and pH) within a continuous time period. The segments with inconsistent directions are removed, and only the time segments with consistent change directions of the three types of values ​​are retained, generating a consistent offset time segment set. The system retrieves the temperature, humidity, and pH trend segments recorded in each numbered region of the multi-parameter change direction sequence set. In the specific processing, an arbitrary numbered region, such as Z07, is selected. Its temperature direction sequence is read as "increasing" from t1 to t4 and "decreasing" from t4 to t6; the humidity direction sequence is also "increasing" from t1 to t4 and "decreasing" from t4 to t6; and the pH direction sequence is also "increasing" and "decreasing". Each time period is read sequentially, and the direction labels of the three parameters within that period are compared. If the three direction labels are completely consistent, the time period is marked as a consistent period; otherwise, it is discarded. In the judgment logic, the direction segments of the Z07 region are traversed segment by segment. The temperature direction from t1 to t4 is read as "increasing". Then, the humidity and pH are compared to see if they are also "increasing". If they are, the segment is retained. The process continues to judge the segment from t4 to t6, where all three directions are "decreasing". The segment is retained. If a segment has a temperature of "rising", humidity of "0", and pH of "falling", it will be removed due to inconsistency in direction. There is no tolerance range when performing this judgment, that is, the three types of parameters must be completely consistent in direction, and the direction label must be "rising" or "falling" at the same time. If there is "0", it is considered that the parameter has not changed, and the segment will be removed as a whole. This judgment standard is based on the actual dynamic parameter change characteristics of the wound, requiring that the monitored changes show the trend consistency of multiple parameters to ensure that the trend segments have a unified reference. In the final output, the two segments with consistent direction, t1 to t4 and t4 to t6, are retained in the Z07 region and labeled as "rising segment" and "falling segment". The output fields contain core information such as time range, numbered area, and direction type. This information serves as a necessary input for spatial trajectory judgment and generates a set of consistent offset time segments.

[0030] The trajectory construction submodule binds the corresponding numbered area coordinate information according to the time period corresponding to the numbered area retained in the consistent offset time segment set, continuously marks the retained segments under the same area number in the time axis direction, establishes the offset continuous relationship sequence through number aggregation, obtains and organizes the spatial and temporal binding relationship, and generates the wound offset trajectory band. After obtaining the consistent offset time segment set, each time segment record is bound to a numbered region and a time. During the process, the information content of each record is read. For example, the Z07 region is in the "ascending segment" from t1 to t4. First, the spatial coordinates corresponding to Z07 are retrieved. Assuming that it is located in the 3rd row and 2nd column in the 2D wound structure matrix, i.e., coordinates (3, 2), the 1st to 4th time segments in the sampling time segment sequence from t1 to t4 are retrieved. Then, within t1 to t4, it is searched whether there are segments with the same direction in adjacent numbered regions. For example, Z08 (3, 3) and Z09 (3, 4) also have segments with the same "ascending" direction. These region coordinates and time segments are aggregated and identified to establish a continuous numbering relationship. The spatial relationship between the numbers is determined. If two numbers are adjacent in the horizontal, vertical or diagonal direction in the spatial coordinates, and the time segment is adjacent, then the spatial relationship between the numbers is determined. If the endpoints are completely consistent, they are included in the same trajectory band. The search continues to find if there are other numbers that can extend the time or space range of the trajectory band. If Z06 (3,1) is found to be in the "ascending segment" from t1 to t4, the trajectory band continues to extend to the left. Finally, a continuous sequence of trajectory bands from Z06 to Z07 to Z08 to Z09 is formed in this stage. Each number is bound to coordinate and time period information, and the trajectory node sequence is formed by connecting the numbers in order. The trajectory is defined as a ternary relation structure composed of number sequence, time period, and direction, where the direction is "ascending", the time period is from t1 to t4, the number sequence is Z06Z09, and the coordinate sequence is (3,1) (3,4). After organizing the structure, the wound offset trajectory band information is output to show the wound offset trajectory band caused by the consistent offset of the three parameters of temperature, humidity and pH in the wound area within a certain time period.

[0031] Specifically, such as Figure 2 , 5 As shown, the trauma assessment module includes: The status screening submodule extracts the temperature, humidity and pH values ​​of the number in the wound offset trajectory band and the corresponding time period. It then performs status judgment operations on each value item according to the temperature, humidity and pH status judgment criteria, respectively, and constructs a structured information set of status results for the numbered time period to generate a three-parameter status judgment result set. Based on the numbering and corresponding time periods in the wound offset trajectory, each numbered item and its corresponding start and end time points are read sequentially. All observed values ​​for that number within the specified time period are extracted from the multidimensional matrix data of temperature, humidity, and pH. For example, the temperature sequence corresponding to number Z08 within time period t2 to t5 is 33.2℃, 33.6℃, ​​34.0℃, 34.3℃; the humidity sequence is 66.0%, 67.1%, 68.4%, 68.8%; and the pH sequence is 6.7, 6.8, 6.9, 7.0. A status judgment operation is performed on each extracted parameter. First, according to the temperature status judgment criteria, the temperature values ​​at consecutive time points are judged one by one to see if they exceed the preset normal temperature range of 28℃ to 40℃. If any time point value exceeds the upper limit or falls below the lower limit, the temperature state of that segment is marked as "abnormal"; otherwise, it is "normal." This judgment criterion is set with reference to the critical point of skin temperature fluctuation in chronic wounds. The range value is determined based on the temperature difference distribution data of infected and non-infected samples in clinical samples. Then, the humidity value... The same logic is applied, with the normal humidity range set to 45% to 80%. This value is derived from the experimental standard for maintaining appropriate moisture levels in wound dressings. If any humidity value is less than 45% or greater than 80% in a consecutive time period, the humidity state is judged as "abnormal". The pH value is judged based on a set range of 5.5 to 8.0, based on the assumption that the pH of the wound during the healing period is stable between 6.0 and 7.5. Due to individual differences and the influence of dressing materials, the upper and lower limits are set slightly wider. The judgment method is the same as the previous two categories. The pH sequence within the Z08 time period is within the normal range, so it is judged as "normal". If either temperature or humidity is abnormal, the judgment result of the numbered time period in the three categories of temperature, humidity, and pH is recorded as "abnormal, abnormal, normal". Finally, the state judgment results of the three parameters corresponding to all numbered time periods are summarized and organized into a structured result table. The fields include number, start time, end time, temperature state, humidity state, and pH state. A structured information set of state results for the numbered time periods is constructed, generating a three-parameter state judgment result set.

[0032] The intervention identification submodule calls the status judgment results of the three-parameter status judgment result set within the time period and compares them with the offset trend direction of the corresponding number in the wound offset trajectory band. It identifies the numbers that simultaneously meet the conditions of having an offset trend and having at least two types of value status results that are abnormal, removes the positions of the numbers that do not meet the conditions, and obtains the set of intervention target numbers. The system retrieves the status judgment results within a time period from the three-parameter status judgment result set. For each record, it extracts the three status values ​​(temperature, humidity, pH) and the start and end points of the corresponding time period. Simultaneously, it reads the offset trend direction of the same number and time period from the offset trajectory band and performs a comparison judgment operation. For each number within the current time period, if there is no offset trend (i.e., the offset direction field is empty), the record is directly removed. If an offset trend exists, the system enters the status judgment process, counting the three status values ​​for that time period. If two or more of the three values ​​are marked as "abnormal," the time period is determined to "meet the intervention conditions." Otherwise, it is considered that intervention is unnecessary and is removed. For example, for number Z08 in the time period t2 to t5, the offset... The direction is "ascending," and the corresponding states are "abnormal" temperature, "abnormal" humidity, and "normal" pH. Since there are two types of abnormal values, the item meets the screening criteria and is retained. If a certain item, such as Z07, has three states of "normal, abnormal, normal," and only one is abnormal, then the item is removed. The "two or more" condition in the judgment criteria is a fixed screening threshold, which is set from the clinical intervention priority ranking results. The condition of two or more abnormalities is highly correlated with local lesions. The occurrence of two or three abnormal items in the statistical sample is positively correlated with the probability of wound deterioration. Finally, all items that meet the criteria are screened to form an intervention target item set. The field structure includes number, start and end time, direction status, and three-category value status labels, which serve as the basic input for subsequent regional spatial positioning.

[0033] The area marking submodule obtains the corresponding area coordinate information for each number item in the intervention target number set, performs marking operations in the area grid, aggregates the area locations covered by all intervention numbers according to the number dimension, marks them to form an intervention label set, and generates a risk intervention group under dressing. For each number in the intervention target number set, the coordinate information of the corresponding number is extracted sequentially. The spatial location is read from the number-coordinate mapping structure using a lookup table; for example, the coordinates of number Z08 are (3, 3), Z09 are (3, 4), and Z10 are (3, 5). These coordinate points are then located in the dressing coverage grid and marked sequentially. The marking method involves adding an "Intervention" label field to the coordinate cell. An aggregation operation is performed on all marked cells, aggregating numbers whose spatially connected positions are adjacent. The specific criterion is that the difference between the horizontal and vertical coordinates does not exceed a certain threshold. 1. If two numbers are adjacent vertically, horizontally, or diagonally, they are merged into the same regional intervention group. For example, Z08 (3,3) and Z09 (3,4) are right adjacent, and Z09 and Z10 (3,5) are right adjacent. The three form a continuous regional block. An independent regional intervention block is constructed using this continuous set of numbers. Finally, all intervention target number items are traversed to complete the spatial labeling of the regional grid. A unique intervention label ID is generated for each independent region, and its coverage, corresponding number list, and start and end time period are marked. The output is the risk intervention group under dressing, which is used for further processing by external intervention mechanisms.

[0034] Specifically, such as Figure 2 , 6 As shown, the drug regulation module includes: The temperature and humidity change determination submodule is based on the time series of temperature and humidity values ​​corresponding to the number in the risk intervention group under the dressing. It performs an accumulation operation on the change value between adjacent time points for the temperature value of each number to obtain the cumulative change value. At the same time, it calculates the unit time increment value corresponding to the change value between adjacent time points for the humidity value. Then, it compares the humidity rate with the set humidity limit threshold to generate a temperature and humidity composite trigger condition group. Based on the time series of temperature and humidity values ​​corresponding to the numbers in the risk intervention groups under dressings, a time series extraction operation was first performed on each number. The continuous temperature and humidity values ​​within a specified time period were read one by one. Taking number Z03 as an example, its temperature series was 32.7℃, 33.2℃, 33.9℃, 34.4℃, 34.1℃, and 33.6℃, ​​and its humidity series was 60.1%, 61.3%, 62.7%, 63.6%, 64.0%, and 64.5%, with a sampling interval of 1. At 0 minutes, the temperature difference between adjacent time points is calculated sequentially as +0.5℃, +0.7℃, +0.5℃, -0.3℃, and -0.5℃. Then, all differences are summed to obtain a cumulative temperature change of +0.9℃. This value is compared with a temperature change threshold set at ±1.5℃. This threshold is based on the actual daily temperature fluctuation range of the wound, derived from statistical data in clinical wound records where fluctuations exceeding 1.5℃ typically indicate microenvironmental imbalance. If the cumulative value exceeds this range, it is recorded as "drastic change"; otherwise, it is recorded as "slow change." The cumulative change value of Z03 is +0.9℃, which is judged as a slow change. Subsequently, the incremental rate of humidity value is calculated. The humidity difference at each adjacent time point is divided by the time interval to obtain humidity change rates of +0.12%, +0.14%, +0.09%, +0.04%, and +0.05% per minute, respectively. The maximum rate value is extracted as 0.14%, and compared with the humidity rate threshold, which is set at 0.10% per minute. This threshold is derived from the observation in a large number of dressing humidification experiments that a humidity rate exceeding 0.10% is usually associated with a sharp increase in local exudation or excessive hydration. Therefore, it is used as the judgment boundary. The maximum humidity rate of Z03 is 0.14%. Exceeding this boundary, it is judged as "sharp increase in humidity." Finally, the temperature status and humidity status are combined for judgment. If either of them is abnormal, it is marked as a temperature and humidity trigger item. The number, cumulative temperature change, maximum humidity rate, temperature status, and humidity status are recorded, and a temperature and humidity composite trigger condition group is generated.

[0035] The pH shift detection submodule calls the pH value time series corresponding to the number in the risk intervention zone under the dressing and the temperature and humidity combined triggering condition group to make a directional judgment on the pH value change trend, filter the numbers with the shift direction being acidic, and then make a difference sequence judgment on the temperature value change trend to identify the set of numbers with jump direction change characteristics and generate a set of common acid jump numbers. The pH time series corresponding to the numbers in the risk intervention group under the dressing and the temperature and humidity combined triggering condition group are called. The listed numbers are cross-filtered, and only the number items that exist in both sets are retained. The corresponding pH series are read in sequence according to the number. Taking Z03 as an example, its pH time series is 6.8, 6.7, 6.6, 6.4, 6.2, 6.0. The direction of adjacent time points is judged. The difference is -0.1, -0.1, -0.2, -0.2, -0.2, all of which are negative. The direction sequence is "−−−−−", which is judged as a continuous downward trend. The rule is set to judge "acidity shift" when three or more consecutive time points show negative changes. The basis is that the pH decrease in actual wound deterioration is stable and continuous in the first 24 hours. If intermediate changes occur, it is considered a "acidity shift". If the value is positive or zero, the number is not included in the acid offset item. Z03 meets the requirements. Then, its temperature difference sequence is read as +0.5℃, +0.7℃, +0.5℃, -0.3℃, -0.5℃, and the direction sequence is "+++−−". The temperature direction jump feature is identified. The judgment criterion is that the direction changes from continuous positive values ​​to continuous negative values. The jump must occur after three consecutive identical directions and reverse at least twice. The temperature direction of Z03 is "rise→rise→rise→fall→fall", which meets the jump condition and is marked as a jump number. Finally, the number items that meet both the acid offset and jump temperature change are selected and included in the acid jump common number set. The number, pH change direction sequence, temperature direction sequence, acid segment start time, jump position index and other fields are recorded for subsequent behavior identification and calling.

[0036] The release behavior registration submodule records the trigger type and number index of the release channel in the behavior control logic according to the number of the delayed release condition in the temperature and humidity composite trigger condition group and the number of the backup release channel trigger condition in the acid jump common number set, and registers the number and release behavior information in the unified behavior log to establish a drug release behavior record set. Based on the trigger delay release condition numbers in the temperature and humidity combined trigger condition group and the numbers in the acid jump common number set that meet the backup release channel trigger conditions, a judgment operation is first performed on each item in the temperature and humidity trigger group to confirm whether the delay release trigger rule is met. This rule is set as a cumulative temperature change exceeding 1.5℃ or a humidity rate exceeding 0.10% three times consecutively. Taking Z03 as an example, its cumulative temperature value is +0.9℃, which does not exceed the threshold, but its humidity rate exceeds 0.10% at two time points but less than three times, thus not meeting the delay release condition and not included in this behavior list. Then, Z03 in the acid jump common set is processed, which meets the dual characteristics of continuous pH decrease and temperature jump. The corresponding backup release trigger rule is set as: meeting the pH decrease exceeding If the pH drops by more than 0.5 units and the jump occurs in the latter part of the monitoring period, the backup channel release is triggered. Z03's pH drops by 0.8 units from 6.8 to 6.0 between t1 and t6. The jump occurs after t4, which meets the rule. A behavior record is generated for it, and the type is marked as "backup release". In the behavior control logic, the behavior type is assigned a control code and a number index is assigned according to the triggering order. Then, it is uniformly written into the behavior log table, recording information such as number Z03, behavior type "backup release", triggering reason "acid + jump", pH drop value of 0.8, temperature jump time point t4, and release control code R203. Finally, a set of drug release behavior records is generated in the unified behavior log by number, which is available for external control equipment to retrieve and respond to.

[0037] Specifically, such as Figure 2 , 7 As shown, the remote control module includes: The data comparison and splicing submodule is based on the regulation number and behavior time point recorded in the drug release behavior record set. It obtains the temperature, humidity and pH values ​​of the corresponding number at two times before and after the behavior time point. It performs dual time point comparison and arrangement operation on the three types of values, constructs a sequence structure with the number as the index unit, and splices them into a continuous record stream in the order of behavior time to generate the numbered behavior comparison data stream. Based on the regulation numbers and behavior time points recorded in the drug release behavior record set, the regulation number value and the corresponding behavior occurrence time point in each record are first read in chronological order. Taking the behavior triggered by regulation number Z05 at time t5 as an example, a dual time point data extraction operation is performed. The observation values ​​at the sampling time t4 before and t6 after the behavior time point are searched backward. In the original data structure, the temperature values ​​of Z05 at t4 and t6 are extracted as 34.1℃ and 33.6℃, ​​the humidity values ​​are 63.0% and 62.4%, and the pH values ​​are 6.6 and 6.5, respectively. A control combination operation is performed on these three parameters at the two time points, and the values ​​at t4 and t6 are arranged into a group of difference analysis records. The field structure is as follows: regulation number, behavior time point, control time point 1. Each number constitutes a three-parameter comparison structure, consisting of a value, a reference time point, and a parameter type. These numbered structures are then concatenated in chronological order, with all numbered behaviors ordered according to a time-series rule, such as Z02(t3), Z05(t5), and Z08(t6). The concatenation order strictly follows chronological sequence to ensure the integrity of the continuous record stream and consistency with the traceability path. During the concatenation process, nested structures are generated using the number as an index unit. Each index carries a set of three parameter values ​​from the two time points preceding and following the behavior, ultimately forming a numbered behavior comparison data stream. This data stream structurally supports multi-dimensional operations such as continuous retrieval, number positioning, parameter comparison, and behavior archiving, providing a basic data structure support for subsequent data encapsulation and command response.

[0038] The data segment sending submodule calls the numbered behavior reference data stream to continuously splice the numbered behavior information, segments and packages the behavior record content according to the set time frequency rules, extracts the number range and behavior time range of each data segment, constructs a formatted data encapsulation structure for the doctor's end and completes the remote sending task, obtains the corresponding response channel return content, and obtains the doctor's processing response content set. The system retrieves consecutively concatenated numbered behavior information from the data stream and sets data transmission frequency rules. In this implementation, data is segmented in 30-minute intervals. All behavior records in the data stream are grouped according to their behavior time points. Records whose time points fall within the same 30-minute interval are grouped into the same data segment. For example, behavior Z02 occurs at t3 (09:20) and Z05 occurs at t5 (09:40). Z02 is grouped into the first data segment, and Z05 is grouped into the second data segment. A number range record is constructed for each data segment. All numbered items in the segment are extracted and deduplicated to generate a number list. At the same time, the earliest and latest behavior time points in the segment are extracted as the behavior time range. For example, in the second segment, the numbered Z05... For Z06 and Z08, with a time range of 09:35 to 09:55, when constructing the data encapsulation structure, the combination of the number list, time range, and behavioral parameter values ​​corresponding to each number is packaged in JSON or binary encoding format, and a segment number identifier and a unique data tracking code are attached. The encapsulated structure is then sent to the doctor's end through a standard communication interface. The sending channel uses the hospital's private network or an authentication relay server. After sending, the system waits for the remote response content to be returned. The system receives the response content set returned by the doctor's end. Each response content includes a number, processing suggestion, adjustment instruction, remarks, and a receiving timestamp. All response content is summarized to generate the doctor's processing response content set, which prepares the corresponding data source for subsequent synchronization and status registration.

[0039] The instruction synchronization registration submodule adjusts the corresponding number to establish a synchronization registration structure between the number and the instruction based on each processing instruction recorded in the doctor's processing response content, writes the instruction content back to the number status table, completes the update operation of the number behavior status, and establishes a remote control synchronization response sequence book. Based on each processing instruction recorded in the doctor's response log, the content is read item by item, and the number information and instruction fields are parsed out. Taking instruction Z05 as an example, its corresponding instruction content is "Change dressing", "Delay release for 48 minutes", and "Remarks: Exudate is heavy". First, a binding relationship structure is established between Z05 and its corresponding processing instruction and stored in the synchronization registration table. At the same time, the number status table is called to locate the Z05 entry. The structured fields in the above processing instruction are written to the corresponding positions. For example, the instruction field is written to the "Processing Instruction" column, the processing time is written to the "Instruction Update Time", the "Delay Release" flag is written to the control flag column, and the status field is modified to "Pending Processing" or "Synchronized". All writing actions are controlled by database transactions to ensure the atomicity of synchronization registration. After completing the write-back of all numbered instructions, all successful synchronization records are summarized and a remote control synchronization response sequence book is generated in numerical order. Each record in the sequence book contains fields such as number, processing instruction, receiving time, synchronization status, and execution status flag, which supports subsequent querying by the device or central control system and is archived as part of the electronic record of the diagnosis and treatment process.

[0040] Please see Figure 8 The intelligent bionic dressing wound management method based on burns is implemented based on the aforementioned intelligent bionic dressing wound management system for burns, and includes the following steps: S1: Obtain the temperature, humidity and pH value of the thermal probe, humidity sensor and acid-base response structure in the monitoring number area, fill in the corresponding record sequence in time order, combine the time point and number position to form a structural grid, and generate a wound temporal grid record map. S2: Call the time point values ​​of the same numbered area in the wound temporal grid record map, calculate the difference between adjacent time values, determine the direction of change and filter the record segments with continuous directions, bind the number and time to obtain the wound offset trajectory band; S3: Call the three types of values ​​in the numbered area of ​​the wound offset trajectory band, determine whether there are two or more abnormal states in temperature, humidity and pH, filter the numbers that meet the conditions and merge them into the target set to form the risk intervention group under the dressing; S4: Call the time record numbered in the risk intervention group under the dressing, determine whether the temperature change is continuously increasing, whether the humidity increase is too high, whether the pH is too acidic and accompanied by temperature jump, register the release behavior, and generate a drug release behavior record set; S5: Call the number and time point in the drug release behavior record set, extract the three types of values ​​before and after the behavior to construct a control sequence, splice the numbered records, package them into data content and register the processing information, and generate a remote control synchronous response sequence book.

[0041] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A smart bionic dressing wound management system based on burns, characterized in that, The system includes: The wound observation module collects the temperature, humidity, and pH value of the dressing, records them by region number, constructs a time-series matrix, marks the time and location, converts them into a standard format, and generates a wound time-series grid record map. The change recognition module calculates the time difference, marks the direction of change, filters intervals with consistent directions, and generates a wound offset trajectory band based on three types of data in the same area of ​​the wound temporal grid record map. The trauma assessment module performs status screening on three types of data based on the number and time period in the wound offset trajectory band. If both the offset trend and status are abnormal, the number is marked, an intervention label set is generated, and a risk intervention group under dressing is formed. The drug regulation module uses the data numbered in the risk intervention group under the dressing to determine the cumulative increase in temperature, the rate of humidity, and the pH acidity shift. When the conditions are met, it triggers the delay and the backup release channel, and generates a drug release behavior record set. The remote control module extracts data before and after the number from the drug release behavior record set to form a comparison sequence, generates a continuous behavior flow log, sends it to the doctor's end at regular intervals, registers the feedback operation, updates the status, and generates a remote control synchronous response sequence book.

2. The intelligent bionic dressing wound management system based on burns according to claim 1, characterized in that: The wound temporal grid record map includes a list of region numbers, a continuous time series, a set of multi-point temperature values, a set of humidity values, and a set of pH status values, a data row and column matrix structure, and a standardized record format. The wound offset trajectory band includes the spatial location corresponding to the number, the continuous time period, the temperature change trajectory, the humidity change trajectory, and the pH change trajectory, and the offset direction marker. The risk intervention zone group under the dressing includes an abnormal number set, the corresponding time range, temperature abnormality labels, humidity abnormality labels, and pH abnormality labels, and the intervention target area identifier. The drug release behavior record set includes the trigger number, release time point, cumulative temperature change value, humidity growth rate, pH acidity shift trend, and release channel type. The remote control synchronous response sequence book includes the behavior number, before and after comparison data sequences, continuous behavior logs, doctor-transmitted processing instructions, and number status update information.

3. The intelligent bionic dressing wound management system based on burns according to claim 1, characterized in that: The definition of abnormal offset trend and state refers to the number in the wound offset trajectory band showing a continuous unidirectional offset within a time period, and the corresponding temperature, humidity, and pH value exceeding the normal threshold.

4. The intelligent bionic dressing wound management system based on burns according to claim 1, characterized in that: The definition of triggering the delay and backup release channel when the conditions are met is that when the cumulative increase in temperature of the risk intervention number exceeds the set threshold, the rate of humidity change increases, and the pH value shows a continuous acidic shift, the delay release and backup channel mechanism is triggered when all three conditions are met simultaneously.

5. The intelligent bionic dressing wound management system based on burns according to claim 1, characterized in that: The wound observation module includes: The data acquisition submodule acquires the thermal probe, moisture-sensitive transducer and acid-base response structure embedded in the back of the dressing covering the wound surface. It collects temperature, humidity and pH values ​​at multiple time points in a continuous time period. It sets area numbers according to the detection location, calls the area number list and fills each type of collected value into the corresponding number record in chronological order, generating a multidimensional observation raw data sequence. The monitoring matrix construction submodule obtains each type of numerical record according to the time and region dimensions based on the multidimensional observation raw data sequence, sets the corresponding row and column coordinate positions in the matrix according to the time point and region number, fills in the numerical items in the coordinate order, and marks the time point and region number of all row and column intersections in the matrix to establish a two-dimensional matrix set of observation parameters. The grid record generation submodule calls the temperature, humidity and pH values ​​of the matrix positions in the two-dimensional matrix of the observation parameters, extracts the values ​​of the monitoring area at continuous time points into a parameter set, organizes all parameter sets according to a unified data recording format, constructs a time series data table that conforms to the standard format, and draws a grid structure according to time and region to generate a wound time series grid record map.

6. The intelligent bionic dressing wound management system based on burns according to claim 1, characterized in that: The change recognition module includes: The difference calculation submodule is based on the temperature, humidity and pH values ​​of the same numbered area in the wound time-series grid record map at continuous time points. It sequentially obtains the value difference between adjacent time slices, performs a sign marking operation on the adjacent difference sequence of each value item, generates a set of change sign sequences in positive and negative directions, locates the positive and negative consistent segments in the continuous time period in each set, and generates a set of multi-parameter change direction sequences. The offset filtering submodule calls the positive and negative trend segments of the parameters in the multi-parameter change direction sequence set, and judges whether there is an inconsistency in the direction of the three types of values, namely temperature, humidity and pH, within a continuous time period. The segments with inconsistent directions are removed, and only the time segments with consistent change directions of the three types of values ​​are retained to generate a consistent offset time segment set. The trajectory construction submodule binds the corresponding numbered area coordinate information to the time period corresponding to the numbered area retained in the consistent offset time segment set, continuously marks the retained segments under the same area number in the time axis direction, establishes an offset continuous relationship sequence through number aggregation, obtains and organizes the spatial and temporal binding relationship, and generates the wound offset trajectory band.

7. The intelligent bionic dressing wound management system based on burns according to claim 1, characterized in that: The trauma determination module includes: The status screening submodule extracts the temperature, humidity and pH values ​​of the number in the wound offset trajectory band and the corresponding time period. It performs status judgment operation on each type of value according to the temperature status judgment criteria, humidity status judgment criteria and pH status judgment criteria, respectively, and constructs a structured information set of status results for the numbered time period to generate a three-parameter status judgment result set. The intervention identification submodule calls the status judgment results of the three-parameter status judgment result set number within the time period, and compares them with the offset trend direction of the corresponding number in the wound offset trajectory band. It identifies the number that simultaneously meets the conditions of having an offset trend and having at least two types of value status results that are abnormal, and removes the number positions that do not meet the conditions to obtain the set of intervention target numbers. The region marking submodule obtains the corresponding region location coordinate information for each number item in the intervention target number set, performs a marking operation in the region grid, aggregates the region locations covered by all intervention numbers according to the number dimension, marks them to form an intervention label set, and generates a risk intervention group under dressing.

8. The intelligent bionic dressing wound management system based on burns according to claim 1, characterized in that: The drug regulation module includes: The temperature and humidity change determination submodule is based on the time series of temperature and humidity values ​​corresponding to the number in the risk intervention zone group under the dressing. It performs an accumulation operation on the change value between adjacent time points for the temperature value of each number to obtain the cumulative change value. At the same time, it calculates the unit time increment value corresponding to the change value between adjacent time points for the humidity value, compares the humidity rate with the set humidity limit threshold, and generates a temperature and humidity composite trigger condition group. The pH shift detection submodule calls the pH value time series corresponding to the number in the risk intervention zone group under the dressing and the temperature and humidity combined triggering condition group to make a directional judgment on the pH value change trend, filter the numbers with the shift direction being acidic, and make a difference sequence judgment on the temperature value change trend to generate a set of common acid jump numbers. The release behavior registration submodule records the trigger type and number index of the release channel in the behavior control logic according to the number of the delayed release condition in the temperature and humidity composite trigger condition group and the number of the backup release channel trigger condition in the acid jump common number set, and registers the number and release behavior information in the unified behavior log to establish a drug release behavior record set.

9. The intelligent bionic dressing wound management system based on burns according to claim 1, characterized in that: The remote control module includes: The data comparison and splicing submodule is based on the regulation number and behavior time point recorded in the drug release behavior record set. It obtains the temperature, humidity and pH values ​​of the corresponding number at two times before and after the behavior time point. It performs dual time point comparison and arrangement operation on the three types of values, constructs a sequence structure with the number as the index unit, and splices them into a continuous record stream in the order of behavior time to generate the numbered behavior comparison data stream. The data segment sending submodule calls the numbered behavior information that is continuously spliced ​​in the numbered behavior reference data stream, performs data segmentation and packaging processing on the behavior record content according to the set time frequency rules, extracts the number range and behavior time range of each data segment, constructs a formatted data encapsulation structure for the doctor's end and completes the remote sending task, obtains the corresponding response channel return content, and obtains the doctor's processing response content set. The instruction synchronization registration submodule adjusts the corresponding number to establish a synchronization registration structure between the number and the instruction based on each processing instruction recorded in the doctor's processing response content set, writes the instruction content back to the number status table, completes the update operation of the number behavior status, and establishes a remote control synchronization response sequence book.

10. A smart bionic dressing wound management method based on burns, characterized in that, The intelligent bionic dressing wound management system based on burns, according to any one of claims 1-9, includes the following steps: S1: Obtain the temperature, humidity and pH value of the thermal probe, humidity sensor and acid-base response structure in the monitoring number area, fill in the corresponding record sequence in time order, combine the time point and number position to form a structural grid, and generate a wound temporal grid record map. S2: Call the time point values ​​of the same numbered area in the wound temporal grid record map, calculate the difference between adjacent time values, determine the direction of change and filter the record segments with continuous directions, bind the number and time to obtain the wound offset trajectory band; S3: Call the three types of values ​​in the numbered area of ​​the wound offset trajectory band to determine whether there are two or more abnormal states in temperature, humidity and pH, filter the numbers that meet the conditions and merge them into a target set to form a risk intervention group under dressing; S4: Call the time record numbered in the risk intervention group under the dressing, determine whether the temperature change continues to increase, whether the humidity increase is too high, whether the pH is too acidic and accompanied by temperature jump, register the release behavior, and generate a drug release behavior record set; S5: Call the number and time point in the drug release behavior record set, extract the three types of values ​​before and after the behavior to construct a control sequence, splice the numbered records, package them into data content and register the processing information, and generate a remote control synchronous response sequence book.

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