A parameter control method for temperature and humidity regulation in antibacterial fabric processing

Abstract

The present invention discloses a parameter control method for regulating temperature and humidity in the processing of antibacterial fabrics, which relates to the technical field of temperature and humidity control. The parameter control method for regulating temperature and humidity in the processing of antibacterial fabrics extracts historical data and real-time collected data for preprocessing, extracts internal and external temperature and internal and external humidity data at corresponding processes to form a change curve, and analyzes and determines the change situation. The method then extracts fabric data and combines it with the temperature and humidity change situation to derive the antibacterial agent penetration situation. This establishes a dynamic temperature and humidity control model, introduces real-time data into the dynamic temperature and humidity control model for analysis and processing, generates compensation instructions for transmission, and achieves accurate prediction and control of the temperature and humidity of the processing environment. The method can automatically adjust target temperature and humidity values ​​and control parameters according to different types of antibacterial fabrics and dynamically changing processing environments, meeting the diverse needs of different antibacterial fabric processing. Accurate temperature and humidity control helps ensure the full integration of the antibacterial agent and the fabric.

Description

Technical Field

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

[0002] As a new type of fabric with special functions, antibacterial fabric is widely used in medical, health, home and other fields. In the processing of antibacterial fabric, temperature and humidity are crucial influencing factors. Suitable temperature and humidity environment can ensure the full combination of antibacterial agent and fabric, improve the antibacterial effect of fabric, and also affect the physical properties of fabric, such as strength and softness.

[0003] The reference patent name is: (Patent Publication Number: CN119576057A, Patent Publication Date: 2025-03-07) Distributed Temperature and Humidity Control Method and System Based on Deep Learning, the method includes: obtaining temperature and humidity data measured from wireless sensors, and assimilating the temperature and humidity data through a deep learning set 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 input to a temperature and humidity prediction model to output the temperature and humidity change trend of the environmental features in the first time period in the future, and generating a control vector based on the temperature and humidity change trend, and controlling the operating state of the HVAC equipment according to the temperature and humidity change trend in response to the control vector to automatically control the temperature and humidity of the environment in the current space.

[0004] Based on the description in the above-mentioned documents, the existing temperature and humidity control operations for antibacterial fabric processing often rely on manual experience for parameter setting, which lacks scientificity and systematicness, resulting in low temperature and humidity control accuracy, and making it difficult to meet the precise requirements of different types of antibacterial fabric processing. Although the existing automatic control system can achieve a certain degree of temperature and humidity adjustment, its response speed and adjustment accuracy are still insufficient when faced with complex and changeable processing environments and the special requirements of different antibacterial fabrics, which easily causes excessive fluctuations in temperature and humidity. For this reason, the present invention provides a parameter control method for temperature and humidity regulation in antibacterial fabric processing. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a parameter control method for temperature and humidity regulation in antibacterial fabric processing, which solves the problem that the existing temperature and humidity control operations in antibacterial fabric processing often rely on manual experience to set parameters, lack scientificity and systematicness, resulting in low temperature and humidity control accuracy, and difficulty in meeting the precise requirements of different types of antibacterial fabric processing. Although the existing automatic control system can achieve a certain degree of temperature and humidity regulation, its response speed and adjustment accuracy are still insufficient when faced with complex and changeable processing environments and the special requirements of different antibacterial fabrics, which easily causes excessive temperature and humidity fluctuations.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a parameter control method for regulating temperature and humidity in antibacterial fabric processing, specifically comprising the following steps:

[0007] S1. Temperature and humidity sensors are deployed at different key locations in the antibacterial fabric processing workshop to collect temperature and humidity data in the processing environment in real time for storage and transmission;

[0008] S2. Extract historical data and real-time data for preprocessing. Extract internal and external temperature and humidity data at the corresponding process to form a change curve and analyze and determine the change situation. Then, extract fabric data and combine it with the temperature and humidity changes to derive the antimicrobial agent penetration situation. This is used to establish a dynamic temperature and humidity control model. Real-time data is introduced into the dynamic temperature and humidity control model for analysis and processing to generate compensation instructions for transmission.

[0009] S3, transmitting the compensation instruction generated adjustment strategy to the corresponding process unit for control;

[0010] S4. Display the collected, analyzed and processed data through a visual interface.

[0011] Preferably, the operation of performing real-time acquisition in S1 is:

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

[0013] s12. When no policy control is performed, the time when temperature or humidity normally changes in historical data is used, and the shorter time is used as the current collection period;

[0014] When policy control is implemented, a fixed collection period is set that is shorter than the collection period without policy control.

[0015] s13. Implement data collection operations based on the collection cycle.

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

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

[0018] A2. Set up the extraction table, using the temperature or humidity data category as the column heading and the corresponding temperature and humidity sensor location information as the row heading. The intersection of the row headings is the value column.

[0019] A3. The title information of the column and row headers is used as the extraction content to match the historical data and the real-time collected data. Where the matching content is identical, the subsequent numerical results are introduced into the numerical columns. After the numerical columns are filled in sequence, an extraction table with the results is formed.

[0020] Preferably, in S2, the internal and external temperature and internal and external humidity data of the corresponding process are extracted, analyzed to determine the change and form a change curve:

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

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

[0024] B3. Store and transmit the temperature impact interval and humidity impact interval.

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

[0026] The horizontal axis is established by the internal temperature and humidity of the process collected at different time nodes, and the vertical axis is established by the external temperature and humidity of the process collected at the corresponding time nodes. The horizontal axis and the vertical axis are perpendicular to each other and intersect to form a coordinate axis.

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

[0028] Preferably, the operation of determining the temperature impact interval in B2 is:

[0029] D1. Set the internal temperature data at the current time node to T p , T p Refers to the pth time node, and the horizontal axis value is T p A constant function of , and the constant function is parallel to the longitudinal axis;

[0030] D2, and when the internal temperature data is T p When extracting multiple external temperature data as T q , T q Refers to the qth temperature data. The temperature impact interval is determined as [T q (min), T q (max)], and the threshold number 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, otherwise if J Tq ≥K, the current external temperature data belongs to the temperature influence range;

[0031] D3. Similarly, set the internal humidity data at the current time node to C p , and extract multiple external humidity data as C q , according to the external humidity data appear the same number of times and the set threshold number of comparison, so as to determine the humidity influence interval is [C q (min), C q (max)].

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

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

[0034] F=H×m+N×n;

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

[0036] The impact value at the current time node is combined with the internal temperature value and the internal humidity value to realize weight distribution and assign values ​​to obtain the antimicrobial agent penetration value.

[0037] Preferably, the calculation formula for the antimicrobial 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 an exponential function, ln(C p ) refers to a 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.

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

[0041] E1. After obtaining real-time data, the dynamic temperature and humidity control model compares the changes in external temperature data and 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 increases or decreases in a unidirectional manner within the interval, and 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 items of the current internal temperature data and the internal humidity data will change;

[0043] E3. Generate an adjustment strategy and perform associated operations with the corresponding unit equipment. That is, when a certain range is exceeded, the corresponding unit equipment will immediately implement the control operation to maintain a stable output of the processing temperature and humidity.

[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 controlled 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 controlled synchronously through the cooling strategy and the dehumidification strategy;

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

[0049] When both temperature and humidity need to be adjusted at the same time, adaptive real-time adjustment operations are performed according to the actual situation by matching the corresponding strategies.

[0050] The present invention provides a parameter control method for regulating temperature and humidity in the processing of antibacterial fabrics. Compared with the existing technology, it has the following advantages:

[0051] 1. The parameter control method for temperature and humidity regulation in the processing of antibacterial fabrics extracts historical data and real-time collected data for preprocessing, extracts the internal and external temperature and internal and external humidity data at the corresponding process to form a change curve and analyzes and determines the change situation, and then extracts the fabric data and combines it with the temperature and humidity changes to obtain the antibacterial agent penetration situation, thereby establishing a dynamic temperature and humidity control model, and introducing real-time data into the dynamic temperature and humidity control model for analysis and processing to generate compensation instructions for transmission, thereby achieving accurate prediction and control of the temperature and humidity of the processing environment. It can automatically adjust the target temperature and humidity values ​​and control parameters according to different types of antibacterial fabrics and dynamically changing processing environments, which can meet the diverse needs of different antibacterial fabric processing. Accurate temperature and humidity control helps to ensure the full combination of antibacterial agents and fabrics.

[0052] 2. The parameter control method for temperature and humidity control in the processing of antibacterial fabrics is established by forming a dynamic temperature and humidity control model. Through the analysis and training of historical data, the real-time data is introduced into the temperature and humidity control model to predict the parameters and set the target temperature and humidity values. The corresponding control strategy is formulated to realize the associated operation of the generated adjustment strategy and the corresponding unit equipment. That is, when the external parameter prediction changes exceed the range, the temperature and humidity inside the processing are adaptively controlled by the associated adjustment strategy to achieve stable output of processing temperature and humidity.

[0053] 3. The parameter control method for temperature and humidity control in the processing of antibacterial fabrics is equipped with an adjustment strategy. When the temperature or humidity inside the processing area changes, the other factor will also change while the strategy is being controlled. Therefore, it is necessary to complete the temperature control strategy and the humidity control strategy simultaneously. 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, thereby enhancing the adaptability and flexibility of the parameter control method. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0055] Figure 2 This is an operational flow chart of data preprocessing of the present invention. DETAILED DESCRIPTION

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0057] See also Figure 1-Figure 2 , the present invention provides two technical solutions:

[0058] Example 1: A parameter control method for regulating temperature and humidity in antibacterial fabric processing, comprising the following steps:

[0059] S1. Temperature and humidity sensors are deployed at different key locations in the antibacterial fabric processing workshop to collect temperature and humidity data in the processing environment in real time for storage and transmission;

[0060] S2. Extract historical data and real-time data for preprocessing. Extract internal and external temperature and humidity data at the corresponding process to form a change curve and analyze and determine the change situation. Then, extract fabric data and combine it with the temperature and humidity changes to derive the antimicrobial agent penetration situation. This is used to establish a dynamic temperature and humidity control model. Real-time data is introduced into the dynamic temperature and humidity control model for analysis and processing to generate compensation instructions for transmission.

[0061] S3, transmitting the compensation instruction generated adjustment strategy to the corresponding process unit for control;

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

[0063] By extracting historical data and real-time collected data for preprocessing, the internal and external temperature and internal and external humidity data of the corresponding process are extracted to form a change curve and analyze to determine the change situation. Then, the antibacterial agent penetration situation is obtained by extracting fabric data and combining it with the temperature and humidity changes. In this way, a dynamic temperature and humidity control model is established, and real-time data is introduced into the dynamic temperature and humidity control model for analysis and processing to generate compensation instructions for transmission, thereby achieving accurate prediction and control of the temperature and humidity of the processing environment. It can automatically adjust the target temperature and humidity values ​​and control parameters according to different types of antibacterial fabrics and dynamically changing processing environments, which can meet the diverse needs of different antibacterial fabric processing. Accurate temperature and humidity control helps to ensure the full combination of antibacterial agents and fabrics.

[0064] In the embodiment of the present invention, the operations for real-time acquisition in S1 are:

[0065] s11. Deploy temperature and humidity sensors in the process space where the fabric penetrates the antimicrobial agent, and use the temperature and humidity sensors to collect internal temperature and humidity data, and also collect temperature and humidity data outside the process space in real time;

[0066] s12. When no policy control is performed, the time when temperature or humidity normally changes in historical data is used, and the shorter time is used as the current collection period;

[0067] When policy control is implemented, a fixed collection period is set that is shorter than the collection period without policy control.

[0068] s13. Implement data collection operations based on the collection cycle.

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

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

[0071] A2. Set up the extraction table, using the temperature or humidity data category as the column heading and the corresponding temperature and humidity sensor location information as the row heading. The intersection of the row headings is the value column.

[0072] A3. The title information of the column and row headers is used as the extraction content to match the historical data and the real-time collected data. Where the matching content is identical, the subsequent numerical results are introduced into the numerical columns. After the numerical columns are filled in sequence, an extraction table with the results is formed.

[0073] In the embodiment of the present invention, in S2, the internal and external temperature and internal and external humidity data of the corresponding process are extracted, analyzed to determine the change and form a change curve:

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

[0075] B2. Extract internal and external temperature data at the same time node, use different internal temperatures at the set process to form a constant function, and determine the external temperature at different time nodes of the process based on the constant function, thereby deriving 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 humidity at the set process to form a constant function, and determine the external humidity at different time nodes of 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 impact interval and humidity impact interval.

[0078] By establishing a dynamic temperature and humidity control model, analyzing and training through historical data, and then introducing real-time data into the temperature and humidity control model to ensure that the predicted parameters and the set target temperature and humidity values ​​are matched, a corresponding control strategy is formulated to generate an adjustment strategy and associate it with the corresponding unit equipment. That is, when the predicted changes of external parameters exceed the range, the temperature and humidity inside the processing are adaptively controlled immediately through the associated adjustment strategy to achieve stable output of processing temperature and humidity.

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

[0080] The horizontal axis is established by the internal temperature and humidity of the process collected at different time nodes, and the vertical axis is established by the external temperature and humidity of the process collected at the corresponding time nodes. The horizontal axis and the vertical axis are perpendicular to each other and intersect to form a coordinate axis.

[0081] Then, the external temperature data and humidity data collected at the corresponding time nodes are introduced 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 impact interval in B2 is:

[0083] D1. Set the internal temperature data at the current time node to T p , T p Refers to the pth time node, and the horizontal axis value is T p A constant function of , and the constant function is parallel to the longitudinal axis;

[0084] D2, and when the internal temperature data is T p When extracting multiple external temperature data as T q , T q Refers to the qth temperature data. The temperature impact interval is determined as [T q (min), T q (max)], and the threshold number 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, otherwise 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 to C p , and extract multiple external humidity data as C q, according to the external humidity data appear the same number of times and the set threshold number of comparison, so as to determine the humidity influence interval is [C q (min), C q (max)].

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

[0087] The influence value of the fabric data is determined by extracting the thickness data and tension data of the fabric, and the thickness data and tension data are weighted to 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 corresponds to the weight value of the fabric thickness value, N is the tension value of the fabric, n corresponds to the weight value of the fabric tension value, and m<n, m+n=1;

[0090] The impact value at the current time node is combined with the internal temperature value and the internal humidity value to realize weight distribution and assign values ​​to obtain the antimicrobial agent penetration value.

[0091] In the embodiment of the present invention, the calculation formula of the antimicrobial agent penetration value 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 a 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.

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

[0095] E1. After obtaining real-time data, the dynamic temperature and humidity control model compares the changes in external temperature data and external humidity data with the prediction interval in the model;

[0096] E2. When any one of the external temperature data and the external humidity data increases or decreases in a unidirectional manner within the interval, and 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 items of the current internal temperature data and the internal humidity data will change;

[0097] E3. Generate an adjustment strategy and perform associated operations with the corresponding unit equipment. That is, when a certain range is exceeded, the corresponding unit equipment will immediately implement the control operation to maintain a stable output of the processing temperature and humidity.

[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 controlled synchronously through the heating strategy and the humidification strategy;

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

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

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

[0103] When both temperature and humidity need to be adjusted at the same time, adaptive real-time adjustment operations are performed according to the actual situation by matching the corresponding strategies.

[0104] By setting an adjustment strategy, when the temperature or humidity inside the processing area changes, the implementation of the strategy control will also cause another factor to change. Therefore, it is necessary to complete the simultaneous control of the temperature control strategy and the humidity control strategy. Accurate temperature and humidity control helps to ensure the full combination of antibacterial agents and fabrics, improve the antibacterial effect and physical properties of the fabrics, and automatically adjust the target temperature and humidity values ​​​​and control parameters, thereby enhancing the adaptability and flexibility of the parameter control method.

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

[0106] Table 1 Recording results table

[0107]

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

[0109] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0110] It should be noted that, in this document, relational terms such as first and second, etc., are used only 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 terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0111] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A parameter control method for regulating temperature and humidity in antibacterial fabric processing, characterized by: The specific steps include: S1. Temperature and humidity sensors are deployed at different key locations in the antibacterial fabric processing workshop to collect temperature and humidity data in the processing environment in real time for storage and transmission; S2. Extract historical data and real-time data for preprocessing. Extract internal and external temperature and humidity data at the corresponding process to form a change curve and analyze and determine the change situation. Then, extract fabric data and combine it with the temperature and humidity changes to derive the antimicrobial agent penetration situation. This is used to establish a dynamic temperature and humidity control model. Real-time data is introduced into the dynamic temperature and humidity control model for analysis and processing to generate compensation instructions for transmission. S3, transmitting the compensation instruction generated adjustment strategy to the corresponding process unit for control; S4. Display the collected, analyzed and processed data through a visual interface; In step S2, the internal and external temperature and internal and external humidity data of the corresponding process are extracted and analyzed to determine the change and form a change curve: B1. After extracting historical internal and external temperature data and internal and external humidity data, a temperature and humidity change curve is established; B2. Extract internal and external temperature data at the same time point, use the different internal temperatures at the set process to form a constant function, and determine the external temperature at different time points at the process based on the constant function, thereby deriving 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 humidity at the set process to form a constant function, and determine the external humidity at different time nodes of 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 impact interval and humidity impact interval.

2. The parameter control method for regulating temperature and humidity in antibacterial fabric processing according to claim 1, characterized in that: The operations for real-time acquisition in S1 are: s11. Deploy temperature and humidity sensors in the process space where the fabric penetrates the antimicrobial agent, and use the temperature and humidity sensors to collect internal temperature and humidity data, and also collect temperature and humidity data outside the process space in real time; s12. When no policy control is performed, the time when temperature or humidity normally changes in historical data is used, and the shorter time is used as the current collection period; When policy control is implemented, a fixed collection period is set that is shorter than the collection period without policy control. s13. Implement data collection operations based on the collection cycle.

3. The parameter control method for regulating temperature and humidity in antibacterial fabric processing according to claim 1, characterized in that: The operation of extracting historical data and real-time collected data for preprocessing in S2 is: A1. Use the median filter algorithm to remove abnormal data points caused by sensor noise or external interference, and then use the moving average filter algorithm to smooth the data; A2. Set up the extraction table, using the temperature or humidity data category as the column heading and the corresponding temperature and humidity sensor location information as the row heading. The intersection of the row headings is the value column. A3. The title information of the column and row headers is used as the extraction content to match the historical data and the real-time collected data. Where the matching content is identical, the subsequent numerical results are introduced into the numerical columns. After the numerical columns are filled in sequence, an extraction table with the results is formed.

4. The parameter control method for controlling temperature and humidity in antibacterial fabric processing according to claim 1, characterized in that: The operation of establishing the temperature and humidity change curve in B1 is: The horizontal axis is established by the internal temperature and humidity of the process collected at different time nodes, and the vertical axis is established by the external temperature and humidity of the process collected at the corresponding time nodes. The horizontal axis and the vertical axis are perpendicular to each other and intersect to form a coordinate axis. Then, the external temperature data and humidity data collected at the corresponding time nodes are introduced into the coordinate axis to obtain the temperature and humidity change curve.

5. The parameter control method for regulating temperature and humidity in processing antibacterial fabrics according to claim 1, characterized in that: The operation of determining the temperature influence range in B2 is: D1. Set the internal temperature data at the current time node to T p , T p Refers to the pth time node, and the horizontal axis value is T p A constant function of , and the constant function is parallel to the longitudinal axis; D2, and when the internal temperature data is T p When extracting multiple external temperature data as T q , T q Refers to the qth temperature data. The temperature impact interval is determined as [T q (min), T q (max)], and the threshold number 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, otherwise if J Tq ≥K, the current external temperature data belongs to the temperature influence range; D3. Similarly, set the internal humidity data at the current time node to C p , and extract multiple external humidity data as C q , according to the external humidity data appear the same number of times and the set threshold number of comparison, so as to determine the humidity influence interval is [C q (min), C q (max)].

6. The parameter control method for regulating temperature and humidity in processing antibacterial fabrics according to claim 5, characterized in that: In S2, the antimicrobial agent penetration is obtained by extracting fabric data and combining it with temperature and humidity changes: The influence value of the fabric data is determined by extracting the thickness data and tension data of the fabric, and the thickness data and tension data are weighted 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 corresponds to the weight value of the fabric thickness value, N is the tension value of the fabric, n corresponds to the weight value of the fabric tension value, and m<n, m+n=1; The impact value at the current time node is combined with the internal temperature value and the internal humidity value to realize weight distribution and assign values ​​to obtain the antimicrobial agent penetration value.

7. The parameter control method for regulating temperature and humidity in antibacterial fabric processing according to claim 6, characterized in that: The calculation formula of the antimicrobial 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 a 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.

8. The parameter control method for regulating temperature and humidity in antibacterial fabric processing according to claim 1, characterized in that: In S2, real-time data is introduced into the dynamic temperature and humidity control model for analysis and processing to generate compensation instructions for transmission: E1. After obtaining real-time data, the dynamic temperature and humidity control model compares the changes in external temperature and humidity data with the prediction interval in the model; E2. When any one of the external temperature data and the external humidity data increases or decreases in a unidirectional manner within the interval, and 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 items of the current internal temperature data and the internal humidity data will change; E3. Generate an adjustment strategy and perform associated operations with the corresponding unit equipment. That is, when a certain range is exceeded, the corresponding unit equipment will immediately implement the control operation to maintain a stable output of the processing temperature and humidity.

9. The parameter control method for regulating temperature and humidity in antibacterial fabric processing according to claim 1, characterized in that: The adjustment strategy in S3 specifically includes: When the internal temperature is lower than the required value, the temperature and humidity are controlled synchronously through the heating strategy and the humidification strategy; When the internal temperature is higher than the required value, the temperature and humidity are controlled synchronously through the cooling strategy and the dehumidification strategy; When the internal humidity is lower than the required value, the temperature and humidity are controlled synchronously through the cooling strategy and the dehumidification strategy; When the internal humidity is higher than the required value, the temperature and humidity are regulated synchronously through the cooling strategy and the dehumidification strategy; When both temperature and humidity need to be adjusted at the same time, adaptive real-time adjustment operations are performed according to the actual situation by matching the corresponding strategies.

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