A uniform temperature feedback control system and method for tea production

Abstract

The invention discloses a uniform temperature feedback control system and method for tea production, which relates to the field of temperature feedback control, including: according to the tea production environment, a dot matrix environment monitoring sensor is set to collect tea production environment data; based on historical data and simulation experiments, the temperature influence of different environmental factors on each small zone of the tea production area is analyzed; according to the regional balanced temperature adjustment algorithm, the temperature change caused by different environmental factors is regulated; based on the integral separation PID algorithm, the uniform temperature for tea production is automatically adjusted to ensure the stability of the tea production environment temperature; a temperature control device is set, and a human-computer interaction platform is established to record and display system data and change system parameters. The advantages of the invention are: effectively improving the refined control of tea production temperature, making up for the problem of insufficient accuracy of range temperature regulation, and greatly improving the quality of tea production.

Description

Technical Field

[0001] The invention relates to the field of temperature feedback control, and in particular to a uniform temperature feedback control system and method for tea production. Background Art

[0002] Accurately grasping temperature changes during the tea production process and improving the refined control of tea production temperature are crucial to the production of high-quality tea. However, in the tea production process, the production area is large, and the temperature control of a single temperature control device is uneven, resulting in a deviation between the actual temperature produced by the tea production environment in different areas and the set temperature, making it difficult for the temperature in some areas to reach the optimal temperature required for tea production, resulting in lower tea quality and reduced production efficiency. However, reducing the tea production area or installing multiple temperature control devices can easily cause waste of resources and increase the difficulty and complexity of the tea production process. Therefore, without changing the scope of the tea production area and adding temperature control devices, the accuracy of temperature control should be improved as much as possible so that the temperature environment of most tea production areas is in line with the optimal temperature range for tea production. An efficient and accurate temperature feedback control system will become very meaningful.

[0003] The existing temperature feedback control mainly focuses on the research of position PID algorithm and its extended PID algorithm, mainly including incremental PID, integral separation PID, variable speed integral PID, incomplete differential PID, differential advance PID, dead zone control PID, fuzzy PID algorithm, neural network PID algorithm, etc., but although these PID algorithms can improve the temperature control accuracy in a small range, it is difficult to handle a large range of temperature regulation when a single algorithm is used, resulting in low accuracy of uniform temperature feedback control in the tea production area, which easily leads to deviation between the actual temperature generated by the tea production environment in different areas and the set temperature, making it difficult for the temperature in some areas to reach the optimal temperature required for tea production, resulting in lower tea quality and reduced production efficiency. Summary of the invention

[0004] In order to solve the above technical problems, a uniform temperature feedback control system and method for tea production are provided. The technical solution solves the problem raised in the above background technology that it is difficult to handle large-scale temperature regulation when a single algorithm is used, resulting in low accuracy of uniform temperature feedback control in the tea production area, which easily leads to deviations between the actual temperature generated by the tea production environment in different areas and the set temperature, making it difficult for the temperature in some areas to reach the optimal temperature required for tea production, resulting in lower tea quality and reduced production efficiency.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A homogenization temperature feedback control method for tea production, characterized by comprising:

[0007] According to the tea production environment, dot matrix environmental monitoring sensors are set up to collect tea production environment data;

[0008] Based on historical data and simulation experiments, analyze the impact of different environmental factors on the temperature of each sub-zone in the tea production area;

[0009] According to the regional balanced temperature adjustment algorithm, control and respond to temperature changes caused by different environmental factors;

[0010] Based on the integral separation PID algorithm, the uniform temperature for tea production is automatically adjusted to ensure the stability of the tea production environment temperature;

[0011] Set up temperature control devices and establish a human-computer interaction platform for recording, displaying system data and changing system parameters.

[0012] Preferably, the step of setting a dot matrix environment monitoring sensor according to the tea production environment to collect tea production environment data specifically includes:

[0013] Based on hierarchical analysis and regional area analysis, combined with the tea production environment, dot matrix environmental monitoring sensors are set up;

[0014] The hierarchical analysis refers to dividing the tea production environment into several different height levels according to the different height levels of the tea production environment, and evenly distributing the environmental monitoring sensors at different positions at different height levels through dot matrix;

[0015] The regional area analysis refers to dividing the area according to the area of ​​contact between different areas of the tea production environment and the outside world, and evenly distributing the environmental monitoring sensors in different partitions through dot matrix;

[0016] The dot matrix setting adopts a mesh structure, and the number of environmental monitoring sensors is set by judging the diffusion degree of the concentric circles according to the diffusion structure of the multi-layer concentric circles;

[0017] According to the actual situation of tea production environment, the diffusion degree threshold of concentric circles is set. When the diffusion degree of concentric circles exceeds the threshold, , The number of environment monitoring sensors is set in a manner such that when the diffusion degree of the concentric circles does not exceed the threshold, the number of the next peripheral environment monitoring sensors is set to be equal to the number of the current environment monitoring sensors;

[0018] The expression for judging the diffusion degree of the concentric circles is:

[0019] ;

[0020] In the formula, Set the diffusion degree of concentric circles for the environmental monitoring sensor dot matrix. is the equilibrium coefficient constant, is the radius of the current concentric circle, is the radius of the next outer concentric circle.

[0021] Preferably, the analysis of the impact of different environmental factors on the temperature of each sub-zone in the tea production area based on historical data and simulation experiments specifically includes:

[0022] Based on historical data and simulation experiments, obtain environmental data of each sub-area in each tea production area under the influence of different environmental factors and stacking heat release;

[0023] The temperature distribution diagram of different tea production areas is displayed by means of diagrams, and the temperature changes of tea production areas under the influence of different environmental factors are intuitively understood through diagrams;

[0024] By analyzing the temperature changes in the chart, we can roughly derive the environmental impact factors that affect the priority of the temperature change degree, and formulate the proportional coefficient of the temperature impact degree.

[0025] Preferably, the temperature adjustment algorithm based on regional equalization specifically includes:

[0026] Through the Kalman filter algorithm and data standardization formula, the received multi-channel environmental data is subjected to noise reduction and data standardization processing;

[0027] According to different environmental factors and the degree of heat release from the pile, the temperature deviation coefficient of the temperature sensor in each tea production area is established;

[0028] Based on the test evaluation and the temperature distribution map displayed in the chart, set the optimal temperature range for tea production, and set the maximum temperature threshold according to the optimal temperature range and the minimum threshold ;

[0029] According to the optimal temperature range, the temperature of the tea production area is divided into a low temperature area, a balanced area and a high temperature area, among which the maximum and minimum temperature thresholds are the critical values ​​for judging which area is in which;

[0030] According to the method of tea production area proportion analysis, a regional balanced temperature adjustment algorithm is established;

[0031] According to the regional balanced temperature adjustment algorithm, the maximum area value of the balanced area of ​​the tea production area is calculated, and the optimal temperature increase value of the area is determined, so as to regulate and respond to temperature changes caused by different environmental factors;

[0032] The temperature deviation coefficient expression of the temperature sensors in different tea production areas is:

[0033] ;

[0034] In the formula, is the temperature deviation coefficient of the temperature sensor, is the temperature deviation adjustment constant for the temperature sensor, is the monitoring data of the temperature sensor, is the error balance term, For the The proportional coefficient of the influence of each environmental factor on temperature is For the Monitoring data of environmental impact factors;

[0035] The regional balanced temperature adjustment algorithm is:

[0036] ;

[0037] In the formula, To balance the temperature area in the tea production area, is the total area of ​​tea production areas, is the high temperature area of ​​the tea production area, is the low temperature area of ​​the tea production area, is the temperature data of the balanced area corrected by the temperature sensor, that is, the optimal temperature increase value of the area. It is the temperature data of the high temperature area corrected by the temperature sensor. It is the low temperature area temperature data corrected by the temperature sensor.

[0038] Preferably, the method of automatically adjusting the homogenization temperature for tea production based on the integral separation PID algorithm to ensure the stability of the temperature of the tea production environment specifically includes:

[0039] According to the determined optimal temperature increase value of the area, a temperature dynamic change input matrix sequence is established;

[0040] Based on the integral separation PID algorithm, the frequency width of the output signal is obtained by reading the data of the temperature dynamic change input matrix sequence;

[0041] According to the frequency width of the output signal, the control execution component automatically adjusts the uniform temperature for tea production, thereby realizing dynamic feedback control of the temperature of the tea production environment.

[0042] Preferably, the temperature control device is set up and a human-computer interaction platform is established to record and display system data and change system parameters, specifically including:

[0043] A temperature control device is set in the tea production site, and according to the frequency width of the output signal obtained, the heating device and the cooling device are controlled by the execution component, so as to adjust the temperature change of the tea production environment;

[0044] Establish a human-computer interaction platform to display the changes in environmental data of various tea production areas and the changes in parameters of uniform temperature feedback control for tea production through a visualization platform;

[0045] Based on the human-computer interaction platform, it is used to record and display system data and change system parameters in real time.

[0046] Furthermore, a uniform temperature feedback control system for tea production is proposed, which is used to implement the uniform temperature feedback control method for tea production as described above, comprising:

[0047] A data acquisition module, wherein the data acquisition module is used to set a dot matrix environment monitoring sensor according to the tea production environment conditions to collect tea production environment data;

[0048] A data analysis module, which is used to analyze the impact of different environmental factors on the temperature of each sub-zone in the tea production area based on historical data and simulation experiments;

[0049] The temperature control module is used to adjust and control the temperature changes caused by different environmental factors according to the regional balanced temperature adjustment algorithm; based on the integral separation PID algorithm, the uniform temperature for tea production is automatically adjusted to ensure the stability of the temperature of the tea production environment;

[0050] A human-computer interaction module is used to set up a temperature control device and establish a human-computer interaction platform for recording and displaying system data and changing system parameters.

[0051] Preferably, the temperature control module specifically includes:

[0052] A temperature optimal increment unit, which is used to adjust and cope with temperature changes caused by different environmental factors according to a regional balanced temperature adjustment algorithm;

[0053] The automatic control unit is used to automatically adjust the uniform temperature for tea production based on an integral separation PID algorithm to ensure the stability of the temperature of the tea production environment.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] By setting up dot matrix environmental monitoring sensors, the environmental data of the tea production area is collected evenly, and the regional balanced temperature adjustment algorithm is used. By analyzing the impact of external environmental factors on temperature monitoring, according to the principle of maximizing the area of ​​the optimal temperature area for production, the corresponding temperature increase value when the area of ​​the optimal temperature area for production is maximized is calculated. Therefore, according to the temperature increase value, a temperature dynamic change input matrix sequence can be established, and the sequence data can be substituted into the integral separation PID algorithm model to realize uniform temperature feedback control for tea production, effectively handle large-scale temperature regulation, improve temperature control accuracy, and make the temperature environment of most tea production areas meet the optimal temperature range for tea production, thereby improving the production quality and production efficiency of tea. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 A flow chart of a uniform temperature feedback control method for tea production according to the present invention;

[0057] Figure 2 According to the tea production environment of the present invention, a dot matrix environment monitoring sensor is set to collect tea production environment data flow chart;

[0058] Figure 3 A flow chart of the temperature change caused by different environmental factors according to the regional balanced temperature adjustment algorithm of the present invention;

[0059] Figure 4 The present invention is based on the integral separation PID algorithm, which automatically adjusts the homogenization temperature for tea production to ensure the stability of the temperature of the tea production environment. DETAILED DESCRIPTION

[0060] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0061] Reference Figure 1 As shown, a uniform temperature feedback control method for tea production includes:

[0062] According to the tea production environment, dot matrix environmental monitoring sensors are set up to collect tea production environment data;

[0063] Based on historical data and simulation experiments, analyze the impact of different environmental factors on the temperature of each sub-zone in the tea production area;

[0064] According to the regional balanced temperature adjustment algorithm, control and respond to temperature changes caused by different environmental factors;

[0065] Based on the integral separation PID algorithm, the uniform temperature for tea production is automatically adjusted to ensure the stability of the tea production environment temperature;

[0066] Set up temperature control devices and establish a human-computer interaction platform for recording, displaying system data and changing system parameters.

[0067] It can be understood that this solution sets up dot matrix environmental monitoring sensors to evenly collect environmental data in the tea production area, and uses a regional balanced temperature adjustment algorithm to analyze the impact of external environmental factors on temperature monitoring. Based on the principle of maximizing the area of ​​the optimal temperature area for production, the temperature increase value corresponding to the maximization of the area of ​​the optimal temperature area for production is calculated. Therefore, a temperature dynamic change input matrix sequence can be established based on the temperature increase value, and the sequence data can be substituted into the integral separation PID algorithm model to achieve uniform temperature feedback control for tea production.

[0068] Reference Figure 2 As shown, according to the tea production environment, a dot matrix environment monitoring sensor is set to collect tea production environment data, specifically including:

[0069] Based on hierarchical analysis and regional area analysis, combined with the tea production environment, dot matrix environmental monitoring sensors are set up;

[0070] The hierarchical analysis refers to dividing the tea production environment into several different height levels according to the different height levels of the tea production environment, and evenly distributing the environmental monitoring sensors at different positions at different height levels through dot matrix;

[0071] The regional area analysis refers to dividing the area according to the area of ​​contact between different areas of the tea production environment and the outside world, and evenly distributing the environmental monitoring sensors in different partitions through dot matrix;

[0072] The dot matrix setting adopts a mesh structure, and the number of environmental monitoring sensors is set by judging the diffusion degree of the concentric circles according to the diffusion structure of the multi-layer concentric circles;

[0073] According to the actual situation of tea production environment, the diffusion degree threshold of concentric circles is set. When the diffusion degree of concentric circles exceeds the threshold, , The number of environment monitoring sensors is set in a manner such that when the diffusion degree of the concentric circles does not exceed the threshold, the number of the next peripheral environment monitoring sensors is set to be equal to the number of the current environment monitoring sensors;

[0074] The expression for judging the diffusion degree of the concentric circles is:

[0075] ;

[0076] In the formula, Set the diffusion degree of concentric circles for the environmental monitoring sensor dot matrix. is the equilibrium coefficient constant, is the radius of the current concentric circle, is the radius of the next outer concentric circle.

[0077] It is understandable that in the production process of tea, in a large area, different height levels and areas of different regions are part of the important factors affecting the uniform temperature feedback control. Temperature monitoring at a single point is difficult to cover the changes in the entire area. The monitored temperature data and environmental influencing factor data may have large deviations as a whole. Therefore, this scheme uses hierarchical analysis and regional area analysis, combined with the tea production environment, to set up dot matrix environmental monitoring sensors. Through multi-position and multi-channel temperature monitoring, the range scalability of monitoring data can be effectively improved, and the temperature and environmental data of the tea production area can be fully reflected through multiple sets of monitoring data. Secondly, a dot matrix arrangement and a mesh structure are adopted. According to the diffusion structure of multi-layer concentric circles, the number of environmental monitoring sensors is set by judging the diffusion degree of concentric circles, so as to scientifically sample data for the actual production environment of tea.

[0078] Reference Figure 3 As shown, the regional balanced temperature adjustment algorithm specifically includes:

[0079] Through the Kalman filter algorithm and data standardization formula, the received multi-channel environmental data is subjected to noise reduction and data standardization processing;

[0080] According to different environmental factors and the degree of heat release from the pile, the temperature deviation coefficient of the temperature sensor in each tea production area is established;

[0081] Based on the test evaluation and the temperature distribution map displayed in the chart, set the optimal temperature range for tea production, and set the maximum temperature threshold according to the optimal temperature range and the minimum threshold ;

[0082] According to the optimal temperature range, the temperature of the tea production area is divided into a low temperature area, a balanced area and a high temperature area, among which the maximum and minimum temperature thresholds are the critical values ​​for judging which area is in which;

[0083] According to the method of tea production area proportion analysis, a regional balanced temperature adjustment algorithm is established;

[0084] According to the regional balanced temperature adjustment algorithm, the maximum area value of the balanced area of ​​the tea production area is calculated, and the optimal temperature increase value of the area is determined, so as to regulate and respond to temperature changes caused by different environmental factors;

[0085] The temperature deviation coefficient expression of the temperature sensors in different tea production areas is:

[0086] ;

[0087] In the formula, is the temperature deviation coefficient of the temperature sensor, is the temperature deviation adjustment constant for the temperature sensor, is the monitoring data of the temperature sensor, is the error balance term, For the The proportional coefficient of the influence of each environmental factor on temperature is For the Monitoring data of environmental impact factors;

[0088] The regional balanced temperature adjustment algorithm is:

[0089] ;

[0090] In the formula, To balance the temperature area in the tea production area, is the total area of ​​tea production areas, is the high temperature area of ​​the tea production area, is the low temperature area of ​​the tea production area, is the temperature data of the balanced area corrected by the temperature sensor, that is, the optimal temperature increase value of the area. It is the temperature data of the high temperature area corrected by the temperature sensor. It is the low temperature area temperature data corrected by the temperature sensor.

[0091] It is understandable that due to the temperature sensor's own errors, under the influence of the external environment, the monitoring results of the temperature sensor may deviate, causing the subsequent data processing to deviate more, resulting in an imbalance in the final uniform temperature feedback control. This solution uses a regional balanced temperature adjustment algorithm to analyze the impact of external environmental factors on temperature monitoring. Based on the principle of maximizing the area of ​​the optimal temperature area, the temperature increase value corresponding to the maximization of the area of ​​the optimal temperature area is calculated, so that a temperature dynamic change input matrix sequence can be established based on the temperature increase value.

[0092] Reference Figure 4As shown, the integral separation PID algorithm is used to automatically adjust the homogenization temperature for tea production to ensure the stability of the temperature of the tea production environment, specifically including:

[0093] According to the determined optimal temperature increase value of the area, a temperature dynamic change input matrix sequence is established;

[0094] Based on the integral separation PID algorithm, the frequency width of the output signal is obtained by reading the data of the temperature dynamic change input matrix sequence;

[0095] According to the frequency width of the output signal, the control execution component automatically adjusts the uniform temperature for tea production, thereby realizing dynamic feedback control of the temperature of the tea production environment.

[0096] It can be understood that the integral algorithm in the conventional PID algorithm is based on the historical data sequence, and the temperature deviation values ​​​​at different times are accumulated to perform regulation. The integral algorithm will cause data overshoot when the system is turned on, stopped suddenly, or data is missing. Therefore, the integral separation PID algorithm is used to separate the influence of the integral term when the system is turned on, stopped suddenly, or data is missing. When the system temperature reaches the preset temperature range, the integral term algorithm is started to stably regulate the system temperature. This solution realizes uniform temperature feedback control and dynamic temperature regulation for tea production by substituting the temperature dynamic change input matrix sequence into the integral separation PID algorithm model.

[0097] Further, based on the same inventive concept as the above-mentioned uniform temperature feedback control method for tea production, the present solution also proposes a uniform temperature feedback control system for tea production, comprising:

[0098] A data acquisition module, wherein the data acquisition module is used to set a dot matrix environment monitoring sensor according to the tea production environment conditions to collect tea production environment data;

[0099] A data analysis module, which is used to analyze the impact of different environmental factors on the temperature of each sub-zone in the tea production area based on historical data and simulation experiments;

[0100] The temperature control module is used to adjust and control the temperature changes caused by different environmental factors according to the regional balanced temperature adjustment algorithm; based on the integral separation PID algorithm, the uniform temperature for tea production is automatically adjusted to ensure the stability of the temperature of the tea production environment;

[0101] A human-computer interaction module, which is used to set the temperature control device and establish a human-computer interaction platform for recording and displaying system data and changing system parameters;

[0102] The temperature control module specifically includes:

[0103] A temperature optimal increment unit, which is used to adjust and cope with temperature changes caused by different environmental factors according to a regional balanced temperature adjustment algorithm;

[0104] The automatic control unit is used to automatically adjust the uniform temperature for tea production based on an integral separation PID algorithm to ensure the stability of the temperature of the tea production environment.

[0105] To sum up, the advantages of the present invention are: by setting up a dot matrix environmental monitoring sensor, the environmental data of the tea production area is evenly collected, and the regional balanced temperature adjustment algorithm is used to analyze the influence of external environmental factors on temperature monitoring. According to the principle of maximizing the area of ​​the optimal temperature area for production, the temperature increase value corresponding to the maximization of the area of ​​the optimal temperature area for production is calculated, so that according to the temperature increase value, a temperature dynamic change input matrix sequence can be established, and the sequence data can be substituted into the integral separation PID algorithm model to realize uniform temperature feedback control for tea production, effectively handle large-scale temperature regulation, improve temperature control accuracy, and make the temperature environment of most tea production areas meet the optimal temperature range for tea production, thereby improving the production quality and production efficiency of tea.

[0106] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for homogenizing temperature feedback control for tea production, characterized in that: include: According to the tea production environment, dot matrix environmental monitoring sensors are set up to collect tea production environment data; Based on historical data and simulation experiments, analyze the impact of different environmental factors on the temperature of each sub-zone in the tea production area; According to the regional balanced temperature adjustment algorithm, control and respond to temperature changes caused by different environmental factors; Based on the integral separation PID algorithm, the uniform temperature for tea production is automatically adjusted to ensure the stability of the tea production environment temperature; Set up temperature control devices and establish a human-computer interaction platform for recording, displaying system data and changing system parameters; The step of setting a dot matrix environment monitoring sensor according to the tea production environment to collect tea production environment data specifically includes: Based on hierarchical analysis and regional area analysis, combined with the tea production environment, dot matrix environmental monitoring sensors are set up; The hierarchical analysis refers to dividing the tea production environment into several different height levels according to the different height levels of the tea production environment, and evenly distributing the environmental monitoring sensors at different positions at different height levels through dot matrix; The regional area analysis refers to dividing the area according to the area of ​​contact between different areas of the tea production environment and the outside world, and evenly distributing the environmental monitoring sensors in different partitions through dot matrix; The dot matrix setting adopts a mesh structure, and the number of environmental monitoring sensors is set by judging the diffusion degree of the concentric circles according to the diffusion structure of the multi-layer concentric circles; According to the actual situation of tea production environment, the diffusion degree threshold of concentric circles is set. When the diffusion degree of concentric circles exceeds the threshold, , The number of environment monitoring sensors is set in a manner such that when the diffusion degree of the concentric circles does not exceed the threshold, the number of the next peripheral environment monitoring sensors is set to be equal to the number of the current environment monitoring sensors; The expression for judging the diffusion degree of the concentric circles is: ； In the formula, Set the diffusion degree of concentric circles for the environmental monitoring sensor dot matrix. is the equilibrium coefficient constant, is the radius of the current concentric circle, is the radius of the next outer concentric circle; The analysis of the impact of different environmental factors on the temperature of each sub-zone in the tea production area based on historical data and simulation experiments specifically includes: Based on historical data and simulation experiments, obtain environmental data of each sub-area in each tea production area under the influence of different environmental factors and stacking heat release; The temperature distribution diagram of different tea production areas is displayed by means of diagrams, and the temperature changes of tea production areas under the influence of different environmental factors are intuitively understood through diagrams; By analyzing the temperature changes in the chart, the environmental impact factors that affect the priority of the temperature change degree are roughly obtained, and the proportional coefficient of the temperature impact degree is formulated; The temperature adjustment algorithm based on regional equalization specifically includes: Through the Kalman filter algorithm and data standardization formula, the received multi-channel environmental data is subjected to noise reduction and data standardization processing; According to different environmental factors and the degree of heat release from the pile, the temperature deviation coefficient of the temperature sensor in each tea production area is established; Based on the test evaluation and the temperature distribution map displayed in the chart, set the optimal temperature range for tea production, and set the maximum temperature threshold according to the optimal temperature range and the minimum threshold ; According to the optimal temperature range, the temperature of the tea production area is divided into a low temperature area, a balanced area and a high temperature area, among which the maximum and minimum temperature thresholds are the critical values ​​for judging which area is in which; According to the method of tea production area proportion analysis, a regional balanced temperature adjustment algorithm is established; According to the regional balanced temperature adjustment algorithm, the maximum area value of the balanced area of ​​the tea production area is calculated, and the optimal temperature increase value of the area is determined, so as to regulate and respond to temperature changes caused by different environmental factors; The temperature deviation coefficient expression of the temperature sensors in different tea production areas is: ； In the formula, is the temperature deviation coefficient of the temperature sensor, is the temperature deviation adjustment constant for the temperature sensor, is the monitoring data of the temperature sensor, is the error balance term, For the The proportional coefficient of the influence of each environmental factor on temperature is For the Monitoring data of environmental impact factors; The regional balanced temperature adjustment algorithm is: ； In the formula, To balance the temperature area in the tea production area, is the total area of ​​tea production areas, is the high temperature area of ​​the tea production area, is the low temperature area of ​​the tea production area, is the temperature data of the balanced area corrected by the temperature sensor, that is, the optimal temperature increase value of the area. It is the temperature data of the high temperature area corrected by the temperature sensor. It is the low temperature area temperature data corrected by the temperature sensor.

2. A method for uniform temperature feedback control for tea production according to claim 1, characterized in that: The method of automatically adjusting the homogenization temperature for tea production based on the integral separation PID algorithm to ensure the stability of the temperature of the tea production environment specifically includes: According to the determined optimal temperature increase value of the area, a temperature dynamic change input matrix sequence is established; Based on the integral separation PID algorithm, the frequency width of the output signal is obtained by reading the data of the temperature dynamic change input matrix sequence; According to the frequency width of the output signal, the control execution component automatically adjusts the uniform temperature for tea production, thereby realizing dynamic feedback control of the temperature of the tea production environment.

3. A method for uniform temperature feedback control for tea production according to claim 2, characterized in that: The temperature control device is set up and a human-computer interaction platform is established to record and display system data and change system parameters, which specifically includes: A temperature control device is set in the tea production site, and according to the frequency width of the output signal obtained, the heating device and the cooling device are controlled by the execution component, so as to adjust the temperature change of the tea production environment; Establish a human-computer interaction platform to display the changes in environmental data of various tea production areas and the changes in parameters of uniform temperature feedback control for tea production through a visualization platform; Based on the human-computer interaction platform, it is used to record and display system data and change system parameters in real time.

4. A uniform temperature feedback control system for tea production, used to implement the uniform temperature feedback control method for tea production as claimed in any one of claims 1 to 3, characterized in that: include: A data acquisition module, wherein the data acquisition module is used to set a dot matrix environment monitoring sensor according to the tea production environment conditions to collect tea production environment data; A data analysis module, which is used to analyze the impact of different environmental factors on the temperature of each sub-zone in the tea production area based on historical data and simulation experiments; The temperature control module is used to adjust and control the temperature changes caused by different environmental factors according to the regional balanced temperature adjustment algorithm; based on the integral separation PID algorithm, the uniform temperature for tea production is automatically adjusted to ensure the stability of the temperature of the tea production environment; A human-computer interaction module is used to set up a temperature control device and establish a human-computer interaction platform for recording and displaying system data and changing system parameters.

5. A uniform temperature feedback control system for tea production according to claim 4, characterized in that: The temperature control module specifically includes: A temperature optimal increment unit, which is used to adjust and cope with temperature changes caused by different environmental factors according to a regional balanced temperature adjustment algorithm; The automatic control unit is used to automatically adjust the uniform temperature for tea production based on an integral separation PID algorithm to ensure the stability of the temperature of the tea production environment.

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