Parameter control method for regulating and controlling temperature and humidity in antibacterial fabric processing

Abstract

The invention discloses a parameter control method for antibacterial fabric processing temperature and humidity regulation and control, and relates to the technical field of temperature and humidity regulation and control. According to the parameter control method for temperature and humidity regulation and control in antibacterial fabric processing, historical data and data collected in real time are extracted for preprocessing, internal and external temperature and internal and external humidity data at corresponding working procedures are extracted to form a change curve, and the change condition is analyzed and determined; the penetration condition of the antibacterial agent is obtained by extracting fabric data and combining temperature and humidity change conditions, so that a dynamic temperature and humidity control model is established and formed, real-time data is introduced into the dynamic temperature and humidity control model to be analyzed and processed, a compensation instruction is generated and transmitted, and accurate prediction and control of the temperature and the humidity of the processing environment are achieved. Target temperature and humidity values and control parameters can be automatically adjusted according to different types of antibacterial fabrics and dynamically changing processing environments, diversified requirements of processing of different antibacterial fabrics can be met, and sufficient combination of an antibacterial agent and the fabrics can be guaranteed through accurate temperature and humidity control.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature and humidity regulation, and specifically to a parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics. Background Art

[0002] As a new type of fabric with special functions, antibacterial fabrics have a wide range of applications in the fields of medical care, hygiene, household, etc. During the processing of antibacterial fabrics, temperature and humidity are crucial influencing factors. A suitable temperature and humidity environment can ensure the full combination of antibacterial agents and fabrics, improve the antibacterial effect of the fabrics, and at the same time, it can also affect the physical properties of the fabrics, such as strength and softness.

[0003] Refer to the patent name: (Patent Publication No.: CN119576057A, Patent Publication Date: March 7, 2025) A distributed temperature and humidity regulation method and system based on deep learning. The method includes: obtaining temperature and humidity data measured by wireless sensors, and performing assimilation processing on the temperature and humidity data through a deep learning ensemble smoother to construct a temperature and humidity data set, calling parameter estimation and data learning algorithms to analyze the assimilated temperature and humidity data to identify and extract environmental features in the temperature and humidity data, using the environmental features as the input of the temperature and humidity prediction model to output the temperature and humidity change trend within the first time period in the future of the environmental features, and generating a control vector based on the temperature and humidity change trend, and in response to the control vector, controlling the operating state of the HVAC device according to the temperature and humidity change trend to automatically regulate the temperature and humidity of the environment in the current space.

[0004] Based on the description of the above document, the existing temperature and humidity control operations in the processing of antibacterial fabrics often rely on manual experience for parameter setting, lacking scientificity and systematicness, resulting in low precision of temperature and humidity control and being difficult to meet the precise requirements of different types of antibacterial fabric processing. Although the existing automatic control systems can achieve a certain degree of temperature and humidity regulation, in the face of complex and changeable processing environments and special requirements of different antibacterial fabrics, their response speed and regulation precision are still insufficient, and it is easy to cause excessive temperature and humidity fluctuations. Therefore, the present invention provides a parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides a parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics, which solves the problems that the existing temperature and humidity control operations in the processing of antibacterial fabrics often rely on manual experience for parameter setting, lacking scientificity and systematicness, resulting in low precision of temperature and humidity control and being difficult to meet the precise requirements of different types of antibacterial fabric processing. Although the existing automatic control systems can achieve a certain degree of temperature and humidity adjustment, in the face of complex and changeable processing environments and special requirements of different antibacterial fabrics, their response speed and adjustment precision are still insufficient, easily causing excessive temperature and humidity fluctuations.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics, specifically including the following steps:

[0007] S1. Deploy temperature and humidity sensors at different key positions in the antibacterial fabric processing workshop to collect, store, and transmit the temperature and humidity data in the processing environment in real time;

[0008] S2. Extract the historical data and the real-time collected data for preprocessing, extract the internal and external temperature and humidity data at the corresponding process to form a change curve and analyze to determine the change situation, and then obtain the penetration situation of the antibacterial agent by extracting the fabric data combined with the temperature and humidity change situation, thereby establishing a dynamic temperature and humidity control model, introducing the real-time data into the dynamic temperature and humidity control model for analysis and processing to generate a compensation instruction for transmission;

[0009] S3. Transmit the adjustment strategy generated from the compensation instruction to the units of the corresponding process for regulation;

[0010] S4. Display the collected, analyzed, and processed data on a visualization interface.

[0011] Preferably, the operation of real-time collection in S1 is as follows:

[0012] s11. Deploy temperature and humidity sensors inside the process space where the fabric penetrates the antibacterial agent, and collect the internal temperature and humidity data through the temperature and humidity sensors, and also collect the temperature and humidity data outside the process space in real time;

[0013] s12. When no strategy regulation is carried out, according to the time when the temperature or humidity normally changes in the historical data and the shorter time is used as the current determined collection period;

[0014] When strategy regulation has been carried out, a fixed collection period is set and is less than the collection period when no strategy regulation is carried out;

[0015] s13. Implement the data collection operation according to the collection period.

[0016] Preferably, the operation of extracting historical data and real-time collected data for preprocessing in S2 is as follows:

[0017] A1. Use the median filtering algorithm to remove abnormal data points caused by sensor noise or external interference, and then use the moving average filtering algorithm to smooth the data;

[0018] A2. Set up an extraction table with the temperature or humidity data category as the column header and the position information of the corresponding temperature and humidity sensors as the row header, and the intersection of the row header and the column header is the numerical column;

[0019] A3. Combine the header information content of the column header and the row header as the extraction content to match in the historical data and the real-time collected data, and introduce the subsequent numerical results into the numerical column at the matching positions with the same content. After filling the numerical column in sequence, an extraction table with results is formed.

[0020] Preferably, in S2, analyze the internal and external temperatures and internal and external humidities at the corresponding process to determine the change situation and form a change curve:

[0021] B1. After extracting the historical internal and external temperature data and internal and external humidity data, establish a temperature and humidity change curve;

[0022] B2. Extract the internal and external temperature data at the same time node, use the different internal temperatures at the set process to form a constant function, and based on the constant function, determine the external temperature at different time nodes at the process, so as to obtain the influence range of the external temperature at the process on the internal temperature at the process;

[0023] Extract the internal and external humidity data at the same time node, use the different internal humidities at the set process to form a constant function, and based on the constant function, determine the external humidity at different time nodes at the process, so as to obtain the influence range of the external humidity at the process on the internal humidity at the process;

[0024] B3. Store and transmit the temperature influence range and the humidity influence range.

[0025] Preferably, the operation of establishing the temperature and humidity change curve in B1 is as follows:

[0026] Use the internal temperature and humidity at the process collected at different time nodes to establish the horizontal axis, and use the external temperature and humidity at the process collected at the corresponding time nodes to establish the vertical axis. The horizontal axis and the vertical axis are vertically set and intersect to form a coordinate axis;

[0027] Then introduce the collected external temperature data and humidity data at the corresponding time nodes into the coordinate axis to obtain the temperature and humidity change curve.

[0028] Preferably, the operation for determining the temperature influence range in B2 is as follows:

[0029] D1. Set the internal temperature data at the current time node as T p , T p represents the p-th time node, and the horizontal axis value is obtained as a constant function of T p , and the constant function is parallel to the vertical axis;

[0030] D2. And when the internal temperature data is T p , extract multiple external temperature data as T q , T q represents the q-th temperature data. Compare the number of times the external temperature data appears with the set threshold number of times to determine the temperature influence range as [T q (min), T q (max)], and the threshold number of times is K, and the number of times each external temperature data appears is J Tq . If J Tq < K, then the current external temperature data does not belong to the temperature influence range. Conversely, if J Tq ≥ K, then the current external temperature data belongs to the temperature influence range;

[0031] D3. Similarly, set the internal humidity data at the current time node as C p , and extract multiple external humidity data as C q . Compare the number of times the external humidity data appears with the set threshold number of times to determine the humidity influence range as [C q (min), C q (max)].

[0032] Preferably, in S2, the antibacterial agent penetration situation is obtained by extracting fabric data and combining the temperature and humidity changes:

[0033] Determine the influence value of the fabric data by extracting the thickness data and tension data of the fabric, assign weights to the thickness data and tension data, and obtain the influence value. The specific calculation formula is:

[0034] F = H×m + N×n;

[0035] F is the influence value, H is the fabric thickness value, m is the weight value corresponding to the fabric thickness value, N is the fabric tension value, n is the weight value corresponding to the fabric tension value, and m < n, m + n = 1;

[0036] And combine the influence value at the current time node with the internal temperature value and internal humidity value to achieve weight distribution and assignment, and then obtain the antibacterial agent penetration value.

[0037] Preferably, the calculation formula for the antibacterial agent penetration value is:

[0038] W = α×(T p ) β × ln(C p ) + γ×F;

[0039] And T p is the internal temperature value, β is a constant exponent, (T p ) β is the exponential function, ln(C p ) refers to the logarithmic operation, and the internal temperature value and the internal humidity value are directly proportional to the antibacterial agent penetration value, and α is the weight value of the internal temperature value and the internal humidity value, γ is the weight value of the influence value, and α > γ, and α + γ = 1.

[0040] Preferably, in S2, the real-time data is introduced into the dynamic temperature and humidity control model for analysis and processing to generate a compensation instruction for transmission:

[0041] E1. And after the dynamic temperature and humidity control model obtains the real-time data, it compares the changes in the external temperature data and the external humidity data with the prediction interval in the model;

[0042] E2. When any one of the external temperature data and the external humidity data rises or falls unidirectionally within the interval, when any one of the external temperature data and the external humidity data is about to jump out of a certain interval, it is predicted that the corresponding item of the current internal temperature data and the internal humidity data will change;

[0043] E3. And a adjustment strategy is generated and associated with the corresponding unit equipment for operation, that is, when jumping out of a certain interval, the corresponding unit equipment immediately implements the regulation operation to keep the processed temperature and humidity stable output.

[0044] Preferably, the adjustment strategy in S3 specifically includes:

[0045] When the internal temperature is lower than the required value, the temperature and humidity are regulated synchronously through the heating strategy and the humidification strategy;

[0046] When the internal temperature is higher than the required value, the temperature and humidity are regulated synchronously through the refrigeration strategy and the dehumidification strategy;

[0047] When the internal humidity is lower than the required value, the temperature and humidity are regulated synchronously through the refrigeration strategy and the dehumidification strategy;

[0048] When the internal humidity is higher than the required value, the temperature and humidity are regulated synchronously through the refrigeration strategy and the dehumidification strategy;

[0049] When the temperature and humidity need to be adjusted simultaneously, corresponding strategies are matched according to the actual situation for adaptive real-time adjustment operations.

[0050] The present invention provides a parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics. Compared with the prior art, it has the following beneficial effects:

[0051] 1. The parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics preprocesses the extracted historical data and real-time collected data, extracts the internal and external temperature and humidity data at the corresponding processes to form a change curve and analyzes to determine the change situation, and then obtains the penetration situation of the antibacterial agent by extracting the fabric data in combination with the temperature and humidity change situation. In this way, a dynamic temperature and humidity control model is established, and the real-time data is introduced into the dynamic temperature and humidity control model for analysis and processing to generate a compensation instruction for transmission, realizing the accurate prediction and control of the temperature and humidity in the processing environment. It can automatically adjust the target temperature and humidity values and control parameters according to different types of antibacterial fabrics and the dynamically changing processing environment, and can meet the diverse needs of different antibacterial fabric processing. Accurate temperature and humidity control helps to ensure the full combination of the antibacterial agent and the fabric.

[0052] 2. The parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics establishes a dynamic temperature and humidity control model. Through the analysis and training of historical data, and then the real-time data is introduced into the temperature and humidity control model to match the predicted parameters and the set target temperature and humidity values. Corresponding control strategies are formulated to realize the associated operation of the generated adjustment strategy and the corresponding unit equipment, that is, when the predicted change of the external parameters exceeds the interval, the temperature and humidity inside the processing are adaptively regulated immediately through the associated adjustment strategy, realizing the stable output of the processing temperature and humidity.

[0053] 3. The parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics is provided with an adjustment strategy. When the temperature or humidity inside the processing changes, while realizing the strategy regulation, another factor will also change. Therefore, it is necessary to synchronously complete the synchronous regulation of the temperature regulation strategy and the humidity regulation strategy. Accurate temperature and humidity control helps to ensure the full combination of the antibacterial agent and the fabric, improve the antibacterial effect and physical properties of the fabric, and automatically adjust the target temperature and humidity values and control parameters, enhancing the adaptability and flexibility of the parameter control method. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 is the operation flow chart of the parameter control method for temperature and humidity regulation of the present invention;

[0055] Figure 2 is the operation flow chart of the data preprocessing of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0056] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0057] Please refer to Figure 1 - Figure 2 , the present invention provides two technical solutions:

[0058] Embodiment 1. A parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics, specifically including the following steps:

[0059] S1. Deploy temperature and humidity sensors at different key positions in the antibacterial fabric processing workshop to collect, store, and transmit the temperature and humidity data in the processing environment in real time;

[0060] S2. Extract the historical data and the real-time collected data for preprocessing, extract the internal and external temperature and humidity data at the corresponding processes to form a change curve and analyze to determine the change situation, and then obtain the penetration situation of the antibacterial agent by extracting the fabric data in combination with the temperature and humidity change situation, thereby establishing a dynamic temperature and humidity control model, introducing the real-time data into the dynamic temperature and humidity control model for analysis and processing to generate a compensation instruction for transmission;

[0061] S3. Transmit the adjustment strategy generated from the compensation instruction to the units of the corresponding processes for regulation;

[0062] S4. Display the collected, analyzed, and processed data through a visualization interface.

[0063] By extracting the historical data and the real-time collected data for preprocessing, extracting the internal and external temperature and humidity data at the corresponding processes to form a change curve and analyze to determine the change situation, and then obtaining the penetration situation of the antibacterial agent by extracting the fabric data in combination with the temperature and humidity change situation, thereby establishing a dynamic temperature and humidity control model, introducing the real-time data into the dynamic temperature and humidity control model for analysis and processing to generate a compensation instruction for transmission, the accurate prediction and control of the temperature and humidity in the processing environment are realized, and the target temperature and humidity values and control parameters can be automatically adjusted according to different types of antibacterial fabrics and the dynamically changing processing environment, which can meet the diverse needs of different antibacterial fabric processing. The accurate temperature and humidity control helps to ensure the full combination of the antibacterial agent and the fabric.

[0064] In the embodiment of the present invention, the operation of real-time collection in S1 is:

[0065] S11. Deploy temperature and humidity sensors inside the process space where the fabric is permeated with the antibacterial agent, collect the internal temperature and humidity data through the temperature and humidity sensors, and collect the temperature and humidity data outside the process space in real time;

[0066] S12. When no policy regulation is carried out, according to the time when the temperature or humidity changes normally in the historical data and the time is short, it is used as the currently determined collection period;

[0067] When policy regulation has been carried out, a fixed collection period is set and is less than the collection period when no policy regulation is carried out;

[0068] S13. Implement the data collection operation according to the collection period.

[0069] In the embodiment of the present invention, the operation of preprocessing the historical data and the real-time collected data in S2 is as follows:

[0070] A1. Use the median filtering algorithm to remove abnormal data points caused by sensor noise or external interference, and then use the moving average filtering algorithm to smooth the data;

[0071] A2. Set up an extraction table, use the temperature or humidity data category as the column header, use the position information of the corresponding temperature and humidity sensor as the row header, and the intersection of the row header and the row header is the numerical column;

[0072] A3. Combine the title information content of the column header and the row header as the extraction content to match in the historical data and the real-time collected data, and introduce the subsequent numerical results into the numerical column at the place where the same content is matched. After filling the numerical column in sequence, an extraction table with results is formed.

[0073] In the embodiment of the present invention, in S2, analyze and determine the change situation of the internal and external temperatures and internal and external humidities at the corresponding process and form a change curve:

[0074] B1. After extracting the historical internal and external temperature data and internal and external humidity data, establish a temperature and humidity change curve;

[0075] B2. Extract the internal and external temperature data at the same time node, use the different internal temperatures at the set process to form a constant function, and determine the external temperature at different time nodes at the process based on the constant function, so as to obtain the influence range of the external temperature at the process on the internal temperature at the process;

[0076] Extract the internal and external humidity data at the same time node, use the different internal humidities at the set process to form a constant function, and determine the external humidity at different time nodes at the process based on the constant function, so as to obtain the influence range of the external humidity at the process on the internal humidity at the process;

[0077] B3. Store and transmit the temperature influence range and the humidity influence range.

[0078] By establishing a dynamic temperature and humidity control model, through the analysis and training of historical data, and then introducing real-time data into the temperature and humidity control model to match the predicted parameters and the set target temperature and humidity values, corresponding control strategies are formulated, and the generated adjustment strategies are associated with the corresponding unit equipment for operation. That is, when the predicted change of external parameters exceeds the range, immediately adaptively regulate the temperature and humidity inside the processing through the associated adjustment strategy to achieve stable output of the temperature and humidity during processing.

[0079] In the embodiment of the present invention, the operation of establishing the temperature and humidity change curve in B1 is as follows:

[0080] Take the internal temperature and humidity collected at different time nodes at the process as the horizontal axis, and take the external temperature and humidity collected at the corresponding time nodes at the process as the vertical axis. The horizontal axis and the vertical axis are vertically arranged and intersect to form a coordinate axis;

[0081] Then introduce the external temperature data and humidity data collected at the corresponding time nodes into the coordinate axis to obtain the temperature and humidity change curve.

[0082] In the embodiment of the present invention, the operation of determining the temperature influence range in B2 is as follows:

[0083] D1. Set the internal temperature data at the current time node as T p , T p refers to the p-th time node, and obtain a constant function with the horizontal axis value of T p , and the constant function is parallel to the vertical axis;

[0084] D2. And when the internal temperature data is T p , extract multiple external temperature data as T q , T q refers to the q-th temperature data. Compare the number of times the external temperature data appears with the set threshold number of times to determine the temperature influence range as [T q (min), T q (max)], and the threshold number of times is K, and the number of times each external temperature data appears is J Tq . If J Tq < K, the current external temperature data does not belong to the temperature influence range. Conversely, if J Tq ≥ K, the current external temperature data belongs to the temperature influence range;

[0085] D3. Similarly, set the internal humidity data at the current time node as C p , and extract multiple external humidity data as C q, determine the humidity influence range as [C q (min), C q (max)] by comparing the number of times the same external humidity data appears with the set threshold number of times.

[0086] In the embodiment of the present invention, in S2, the penetration situation of the antibacterial agent is obtained by extracting the fabric data and combining the temperature and humidity changes:

[0087] Determine the influence value of the fabric data by extracting the thickness data and tension data of the fabric, assign weights to the thickness data and tension data, and obtain the influence value. The specific calculation formula is:

[0088] F = H×m + N×n;

[0089] F is the influence value, H is the thickness value of the fabric, m is the weight value corresponding to the fabric thickness value, N is the tension value of the fabric, n is the weight value corresponding to the fabric tension value, and m < n, m + n = 1;

[0090] And combine the influence value at the current time node with the internal temperature value and internal humidity value to achieve weight distribution and assignment, and then obtain the penetration value of the antibacterial agent.

[0091] In the embodiment of the present invention, the calculation formula of the penetration value of the antibacterial agent is:

[0092] W = α×(T p ) β × ln(C p ) + γ×F;

[0093] And T p is the internal temperature value, β is a constant exponent, (T p ) β is an exponential function, ln(C p ) refers to the logarithmic operation, and the internal temperature value and internal humidity value are directly proportional to the penetration value of the antibacterial agent. And α is the weight value of the internal temperature value and internal humidity value, γ is the weight value of the influence value, and α > γ, and α + γ = 1.

[0094] In the embodiment of the present invention, in S2, introduce real-time data into the dynamic temperature and humidity control model for analysis and processing to generate a compensation instruction for transmission:

[0095] E1. And after the dynamic temperature and humidity control model obtains the real-time data, compare the changes in the external temperature data and external humidity data with the prediction interval in the model;

[0096] E2. When either the external temperature data or the external humidity data is rising or falling unidirectionally within an interval, when either the external temperature data or the external humidity data is about to jump out of a certain interval, it is predicted that the corresponding item of the current internal temperature data and internal humidity data will change;

[0097] E3. And generate an adjustment strategy and perform an associated operation with the corresponding unit equipment, that is, when jumping out of a certain interval, the corresponding unit equipment immediately implements a regulation operation to keep the processed temperature and humidity stably output.

[0098] In the embodiment of the present invention, the adjustment strategy in S3 specifically includes:

[0099] When the internal temperature is lower than the required value, the temperature and humidity are regulated synchronously through a heating strategy and a humidifying strategy;

[0100] When the internal temperature is higher than the required value, the temperature and humidity are regulated synchronously through a refrigeration strategy and a dehumidification strategy;

[0101] When the internal humidity is lower than the required value, the temperature and humidity are regulated synchronously through a refrigeration strategy and a dehumidification strategy;

[0102] When the internal humidity is higher than the required value, the temperature and humidity are regulated synchronously through a refrigeration strategy and a dehumidification strategy;

[0103] And when the temperature and humidity need to be adjusted simultaneously, corresponding strategies are matched according to the actual situation for adaptive real-time adjustment operations.

[0104] By setting an adjustment strategy, when the temperature or humidity inside the processing area changes, while implementing the strategy regulation, it will also cause another factor to change. Therefore, it is necessary to synchronously complete the synchronous regulation of the temperature regulation strategy and the humidity regulation strategy. Precise temperature and humidity control helps to ensure the full combination of the antibacterial agent and the fabric, improve the antibacterial effect and physical properties of the fabric, and automatically adjust the target temperature and humidity values and control parameters, enhancing the adaptability and flexibility of the parameter control method.

[0105] Embodiment 2. The difference compared with Embodiment 1 is that: the existing parameter control method for temperature and humidity regulation and the parameter control method for temperature and humidity regulation of the present invention are used to perform the operation of processing the set antibacterial fabric, and the time required for regulation during processing and the time to complete the processing operation are recorded. The specific results are shown in Table 1:

[0106] Table 1 Record result table

[0107]

[0108] In summary, the parameter control method for temperature and humidity regulation of the present invention is used to perform operations for processing the set antibacterial fabric. The time required for regulation during the operation is shorter, and the time required to complete soaking is shorter. Therefore, it can be better applied in actual operations.

[0109] At the same time, the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0110] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0111] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics, characterized in that: Specifically, it includes the following steps: S1. Deploy temperature and humidity sensors at different key positions in the antibacterial fabric processing workshop to collect, store, and transmit the temperature and humidity data in the processing environment in real time; S2. Extract the historical data and the real-time collected data for preprocessing, extract the internal and external temperature and humidity data at the corresponding process to form a change curve and analyze to determine the change situation, and then obtain the antibacterial agent penetration situation by extracting the fabric data in combination with the temperature and humidity change situation, thereby establishing a dynamic temperature and humidity control model, introducing the real-time data into the dynamic temperature and humidity control model for analysis and processing to generate a compensation instruction for transmission; S3. Transmit the adjustment strategy generated from the compensation instruction to the units of the corresponding process for regulation; S4. Display the collected, analyzed, and processed data through a visualization interface.

2. The parameter control method for temperature and humidity regulation in the processing of an antibacterial fabric according to claim 1, characterized in that: The operation of real-time collection in S1 is as follows: s11. Deploy temperature and humidity sensors inside the process space where the fabric penetrates the antibacterial agent, and collect the internal temperature and humidity data through the temperature and humidity sensors, and collect the temperature and humidity data outside the process space in real time; s12. When no strategy regulation is carried out, according to the time when the temperature or humidity changes normally in the historical data and the time is relatively short, it is used as the current determined collection period; When the strategy regulation has been carried out, a fixed collection period is set and is less than the collection period when no strategy regulation is carried out; s13. Implement the data collection operation according to the collection period.

3. A parameter control method for temperature and humidity regulation in the processing of an antibacterial fabric, according to claim 1, characterized in that: The operation of extracting the historical data and the real-time collected data for preprocessing in S2 is as follows: A1. Use the median filtering algorithm to remove the abnormal data points caused by sensor noise or external interference, and then use the moving average filtering algorithm to smooth the data; A2. Set an extraction table, use the temperature or humidity data category as the column title, and use the position information of the corresponding temperature and humidity sensor as the row title, and the intersection of the row title and the row title is the numerical column; A3. Combine the title information content of the column title and the row title as the extraction content to match in the historical data and the real-time collected data, and introduce the subsequent numerical results into the numerical column at the place where the same content is matched. After filling the numerical column in sequence, an extraction table with results is formed.

4. A parameter control method for temperature and humidity regulation in the processing of an antibacterial fabric, according to claim 1, characterized in that: In S2, extract the internal and external temperature and internal and external humidity data at the corresponding process, analyze and determine the change situation, and form a change curve: B1. After extracting the historical internal and external temperature data and internal and external humidity data, establish a temperature and humidity change curve; B2. Extract the internal and external temperature data at the same time node, use the different internal temperatures at the set process to form a constant function, and determine the external temperature at different time nodes at the process based on the constant function, so as to obtain the influence range of the external temperature at the process on the internal temperature at the process; Extract the internal and external humidity data at the same time node, use the different internal humidities at the set process to form a constant function, and determine the external humidity at different time nodes at the process based on the constant function, so as to obtain the influence range of the external humidity at the process on the internal humidity at the process; B3. Store and transmit the temperature influence range and the humidity influence range.

5. A parameter control method for temperature and humidity regulation in the processing of an antibacterial fabric, according to claim 4, characterized in that: The operation of establishing the B1 medium temperature and humidity change curve is as follows: Taking the internal temperature and humidity at different time nodes collected at the process as the horizontal axis, and taking the external temperature and humidity at the corresponding time nodes collected at the process as the vertical axis, and the horizontal axis and the vertical axis are perpendicularly arranged and intersect to form a coordinate axis; Then introduce the collected external temperature data and humidity data at the corresponding time nodes into the coordinate axis to obtain the temperature and humidity change curve.

6. A parameter control method for temperature and humidity regulation in the processing of an antibacterial fabric, according to claim 4, characterized in that: The operation of determining the temperature influence range in B2 is as follows: Set the internal temperature data at the current time node as T p , T p refers to the p-th time node, and the horizontal axis value is obtained as T p of the constant function, and the constant function is parallel to the vertical axis; D2, and when the internal temperature data is T p extract multiple external temperature data as T q , T q refers to the q-th temperature data. Compare the number of times the external temperature data appears with the set threshold number of times to determine the temperature influence interval as [T q (min), T q (max)], and the threshold number of times is K, and the number of times each external temperature data appears is J Tq , if J Tq < K, then the current external temperature data does not belong to the temperature influence interval. Conversely, if J Tq ≥ K, then the current external temperature data belongs to the temperature influence interval; D3. Similarly, set the internal humidity data at the current time node as C p , and extract multiple external humidity data as C q . Compare the number of times the external humidity data appears with the set threshold number of times to determine the humidity influence range as [C q (min), C q (max)].

7. A parameter control method for temperature and humidity regulation in the processing of an antibacterial fabric, according to claim 6, characterized in that: In S2, the antibacterial agent penetration situation is obtained by extracting the fabric data in combination with the temperature and humidity change situation: The influence value of the fabric data is determined by extracting the thickness data and tension data of the fabric, and weight assignment is performed on the thickness data and tension data to obtain the influence value. The specific calculation formula is: F = H×m + N×n; F is the influence value, H is the thickness value of the fabric, m is the weight value corresponding to the fabric thickness value, N is the tension value of the fabric, n is the weight value corresponding to the fabric tension value, and m < n, m + n = 1; And combine the influence value at the current time node with the internal temperature value and internal humidity value to achieve weight distribution and assignment, and then obtain the antibacterial agent penetration value.

8. A parameter control method for temperature and humidity regulation in the processing of an antibacterial fabric, according to claim 7, characterized in that: The calculation formula of the antibacterial agent penetration value is: W = α×(T p ) β × ln(C p ) + γ×F; and T p is the internal temperature value, β is a constant exponent, (T p ) β is an exponential function, ln(C p ) refers to the logarithmic operation, and the internal temperature value and the internal humidity value are directly proportional to the antimicrobial agent penetration value, and α is the weight value of the internal temperature value and the internal humidity value, γ is the weight value of the influence value, and α > γ, and α + γ = 1.

9. A parameter control method for temperature and humidity regulation in the processing of an antibacterial fabric, as described in claim 4, characterized in that: In S2, the real-time data is introduced into the dynamic temperature and humidity control model for analysis and processing to generate a compensation instruction for transmission: E1. After the dynamic temperature and humidity control model obtains the real-time data, compare the change situations of the external temperature data and external humidity data with the prediction interval in the model; E2. When any one of the external temperature data and external humidity data meets the condition of unidirectional increase or decrease within the interval, when any one of the external temperature data and external humidity data is about to jump out of a certain interval, predict that the corresponding item of the current internal temperature data and internal humidity data will change; E3. And generate an adjustment strategy and associate it with the corresponding unit equipment. That is, when jumping out of a certain interval, the corresponding unit equipment immediately implements a regulation operation to keep the processed temperature and humidity stably output.

10. A parameter control method for temperature and humidity regulation in the processing of an antibacterial fabric, as described in claim 1, wherein: The adjustment strategy in S3 specifically includes: When the internal temperature is lower than the required value, the temperature and humidity are regulated synchronously through the heating strategy and humidifying strategy; When the internal temperature is higher than the required value, the temperature and humidity are regulated synchronously through the refrigeration strategy and dehumidifying strategy; When the internal humidity is lower than the required value, the temperature and humidity are regulated synchronously through the refrigeration strategy and dehumidifying strategy; When the internal humidity is higher than the required value, the temperature and humidity are regulated synchronously through the refrigeration strategy and dehumidifying strategy; And when the temperature and humidity need to be adjusted simultaneously, match the corresponding strategy according to the actual situation for adaptive real-time adjustment operation.

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