Temperature and humidity self-adaptive control method for tea aging workshop

By adopting the temperature and humidity adaptive control method in the tea aging workshop, the temperature and humidity changes in each accumulation area are analyzed and predicted, and the problem of inaccurate temperature and humidity control in traditional methods is solved, and higher quality tea aging is achieved.

CN119828822AActive Publication Date: 2025-04-15FUJIAN EIGHT HORSES TEA

Patent Information

Application Number
CN202510330335.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-20
Publication Date
2025-04-15
Estimated Expiration
2045-03-20

AI Technical Summary

Technical Problem

The traditional temperature and humidity control method of tea aging workshop fails to effectively consider the differences between each tea accumulation area and the temperature and humidity adjustment equipment and the workshop external environment, resulting in poor quality of aged tea.

Method used

Adaptive temperature and humidity control method is adopted to obtain temperature and humidity data outside the workshop and each stacking area, and to construct temperature and humidity curves, analyze the degree of internal and external influence of each stacking area, and build a temperature and humidity prediction model to adaptively adjust the set value of the temperature and humidity adjustment equipment.

Benefits of technology

Through precise temperature and humidity control, each accumulation area is in the optimal temperature and humidity environment, thereby improving the quality of tea aging and improving product quality and consistency.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to the technical field of temperature and humidity control, in particular to a temperature and humidity self-adaptive control method for a tea aging workshop, which comprises the following steps: acquiring the temperature and humidity outside the workshop, the temperature and humidity of a stacking area and the temperature and humidity set by temperature and humidity adjusting equipment; according to the temperature of the accumulation area, the influence degree of the external temperature and the influence degree of the internal temperature on the accumulation area are obtained; according to the temperature of the accumulation area, the temperature outside the workshop, the temperature of the accumulation area and the temperature set by the temperature adjusting equipment, a temperature prediction model of the accumulation area is built, and the set temperature of the temperature adjusting equipment is obtained by combining the temperature change outside the workshop of the accumulation area and the temperature prediction model of all the accumulation areas. By analyzing the influence of the temperature and humidity adjusting equipment and the environment outside the workshop on each accumulation area, the temperature and humidity in the workshop are adjusted in a self-adaptive manner, so that the tea aging quality is improved.
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Description

Technical Field

[0001] The invention relates to the technical field of temperature and humidity control, and in particular to a temperature and humidity self-adaptive control method for a tea aging workshop. Background Art

[0002] Tea aging refers to the process of tea gradually changing from fresh and bitter to mellow and fragrant through oxidation, enzymatic reaction and microbial fermentation. The temperature and humidity in the aging process will have a great impact on the oxidation, enzymatic reaction and microbial fermentation of tea. Therefore, it is particularly important to control the temperature and humidity during the aging process of tea. However, since there are multiple tea stacking areas in the tea aging workshop, there are certain differences in the distance between each tea stacking area and the temperature and humidity control equipment as well as the external environment of the workshop, which leads to differences in the impact of the temperature and humidity control equipment and the external environment of the workshop on each tea stacking area. The temperature and humidity in traditional tea aging workshops do not take into account the differences in the impact of the temperature and humidity control equipment and the external environment of the workshop on each tea stacking area, which leads to poor quality of the aged tea. Summary of the invention

[0003] The present invention provides a temperature and humidity adaptive control method for a tea aging workshop to solve the existing problem that the temperature and humidity of a traditional tea aging workshop will lead to poor quality of aged tea.

[0004] The temperature and humidity adaptive control method for a tea aging workshop of the present invention adopts the following technical scheme: The following steps are involved: Obtain the temperature and humidity outside the workshop, the temperature and humidity of each stacking area in the workshop, and the temperature and humidity set by the temperature and humidity regulating equipment; According to the temperature of the stacking area, a temperature curve of the stacking area is constructed, and several internal influence curve segments and several external influence curve segments of the stacking area are obtained; according to all the external influence curve segments of the stacking area, the degree of influence of the stacking area by the external temperature is obtained; according to all the internal influence curve segments of the stacking area, combined with the degree of influence of the stacking area by the external temperature, the degree of influence of the stacking area by the internal temperature is obtained; According to the temperature curve of the stacking area, several equilibrium time periods of the stacking area are obtained; according to the temperature outside the workshop, the temperature of the stacking area and the temperature set by the temperature control device in all the equilibrium time periods of the stacking area, a temperature prediction model of the stacking area is constructed; According to the temperature outside the workshop and the temperature prediction model of all stacking areas, the set temperature of the temperature regulating device is obtained; the set humidity of the humidity regulating device is obtained, and the process of obtaining the set humidity of the humidity regulating device is the same as the process of obtaining the set temperature of the temperature regulating device.

[0005] Preferably, the method of obtaining the temperature and humidity outside the workshop, the temperature and humidity of each stacking area in the workshop, and the temperature and humidity set by the temperature and humidity regulating device includes: Install temperature and humidity control equipment around the tea aging workshop, install temperature sensors and humidity sensors under each stacking area and outside the tea workshop, and preset a sampling time interval And adjust the device recording time interval ; Make the temperature sensors and humidity sensors outside the workshop, the temperature sensors and humidity sensors corresponding to each stacking area, and the cameras at each interval The temperature and humidity are collected every minute to obtain the temperature and humidity outside the workshop and the temperature and humidity of each stacking area. The temperature and humidity set by the temperature and humidity control device are recorded once every second.

[0006] Preferably, the method of constructing a temperature curve of the stacking area according to the temperature of the stacking area and obtaining a plurality of internal influence curve segments and a plurality of external influence curve segments of the stacking area includes the following specific methods: For any stacking area, a rectangular coordinate system is constructed with time as the horizontal axis and temperature as the vertical axis, all temperatures of the stacking area during the aging process are placed in the rectangular coordinate system, and all temperatures in the rectangular coordinate system are curve-fitted using the least squares method to obtain the temperature curve of the stacking area; the time period when the temperature regulating equipment in the workshop is working is taken as the internal influence time period, and the time period when the temperature regulating equipment in the workshop is not working is taken as the external influence time period; the temperature curve segments in the temperature curve values ​​of the stacking area that are located in the internal influence time period and the external influence time period are respectively recorded as the internal influence curve segments and the external influence curve segments of the stacking area.

[0007] Preferably, the method of obtaining the degree of influence of the external temperature on the stacking area according to all the external influence curve segments of the stacking area includes: For any accumulation area, obtain the slope of the external influence curve segment of the accumulation area at each time, and preset a slope threshold ; The absolute value of the slope of the external influence curve segment of the stacking area is greater than The corresponding moment is recorded as the external change moment, and the time period composed of all the external change moments is taken as the external change time period, so as to obtain a plurality of external change time periods of the accumulation area; For any external change time period of the accumulation area, a derivative operation is performed on the external change time period, and an integral operation is performed on the derivative operation result of the external change time period, and the integral operation result is used as the steepness of the external change time period; The steepness of all external change time periods of the stacking area is obtained, and the average of the steepness of all external change time periods is used as the degree of influence of the external temperature on the stacking area.

[0008] Preferably, the method of obtaining the degree of influence of the internal temperature on the stacking area according to all the internal influence curve segments of the stacking area and the degree of influence of the external temperature on the stacking area includes the following specific methods: For any accumulation region, obtain the slope of the internal influence curve segment of the accumulation region at each time; The corresponding moment is recorded as the internal change moment, and the time period composed of all the internal change moments is taken as the internal change time period, so as to obtain a plurality of internal change time periods of the accumulation area; For any internal change time period of the accumulation area, a derivative operation is performed on the internal change time period, and an integral operation is performed on the derivative operation result of the internal change time period, and the integral operation result is used as the steepness of the internal change time period; The steepness of all internal change time periods of the stacking area is obtained, and the average of the steepness of all internal change time periods is used as the degree to which the stacking area is affected by the mixing temperature. The sum of the degree to which the stacking area is affected by the mixing temperature and the degree to which the stacking area is affected by the external temperature is used as the degree to which the stacking area is affected by the internal temperature.

[0009] Preferably, the method of obtaining several equilibrium time periods of the stacking area according to the temperature curve of the stacking area includes: For any stacking area, obtain the slope of the temperature curve of the stacking area at each time; and set the absolute value of the slope of the temperature curve of the stacking area to be less than or equal to The corresponding moment is recorded as the equilibrium moment, and the time period composed of all the equilibrium moments is taken as the equilibrium time period of the accumulation area.

[0010] Preferably, the temperature prediction model of the stacking area is constructed according to the temperature outside the workshop, the temperature of the stacking area and the temperature set by the temperature regulating device in all equilibrium time periods of the stacking area, and the specific method includes: For any stacking area, the balancing coefficient of each balancing time period is obtained according to the temperature outside the workshop and the temperature set by the temperature regulating device in each balancing time period of the stacking area, combined with the degree to which the stacking area is affected by the external temperature and the degree to which the stacking area is affected by the internal temperature; according to the average of the balancing coefficients of all balancing time periods, the degree to which the stacking area is affected by the external temperature and the degree to which the stacking area is affected by the internal temperature, combined with the temperature outside the workshop and the temperature set by the temperature regulating device, a temperature prediction model of the stacking area is constructed.

[0011] Preferably, the temperature prediction model of the stacking area is constructed, and the specific calculation formula included is:

[0012] In the formula, Indicates The equilibrium coefficient of the equilibrium time period; Indicates the degree to which the stacking area is affected by the internal temperature; Indicates the degree to which the stacking area is affected by the external temperature; Indicates that the stacking area is The mean temperature during the equilibrium period; Indicates The average temperature set by the temperature control device in a balanced time period; Indicates The average temperature outside the workshop during the equilibrium time period; represents the temperature of the deposition area obtained by the temperature prediction model of the deposition area; The temperature outside the workshop representing the temperature prediction model input to the stacking area; The temperature set by the temperature adjustment device representing the temperature prediction model input to the stacking area; It represents the average value of the balancing coefficient in all balancing time periods.

[0013] Preferably, the method of obtaining the set temperature of the temperature regulating device according to the temperature outside the workshop and the temperature prediction model of all stacking areas includes: Preset a temperature traversal initial value , Temperature traversal termination value And temperature traversal compensation ; Compare the temperature outside the workshop at the current moment with , respectively as the temperature prediction model of each accumulation area and Input into the temperature prediction model of each stacking area to obtain the first predicted temperature of each stacking area at the current moment; The temperature outside the workshop at the current moment is , respectively as the temperature prediction model of each accumulation area and Input into the temperature prediction model of each stacking area to obtain the second predicted temperature of each stacking area at the current moment; Until the temperature outside the workshop at the current moment is , respectively as the temperature prediction model of each accumulation area and Input it into the temperature prediction model of each stacking area to obtain the temperature of each stacking area at the current moment. Predicted temperature; According to all predicted temperatures of each stacking area at the current moment, the set temperature of the current temperature control device is obtained.

[0014] Preferably, the method of obtaining the set temperature of the current temperature regulating device according to all predicted temperatures of each stacking area at the current moment includes the following specific methods: Obtaining the optimal aging temperature of tea leaves in the tea aging workshop, inversely normalizing the sum of the differences between the first predicted temperature of each stacking area at the current moment and the optimal aging temperature, and using the inversely normalized result as the preferred degree of the temperature set by the temperature regulating device corresponding to the first predicted temperature of each stacking area at the current moment; The temperature preference levels set by the temperature adjustment device corresponding to all predicted temperatures of each stacking area at the current moment are obtained, and the set temperature of the current temperature adjustment device is adjusted to the temperature corresponding to the maximum preference level.

[0015] The beneficial effect of the technical solution of the present invention is: this application analyzes the temperature and humidity changes in each stacking area, combined with the corresponding temperature changes in the stacking area when the temperature and humidity control device is not working, to obtain an external influence curve segment. Since the temperature data in the external influence curve segment is only affected by the temperature and humidity of the external environment of the workshop, the degree to which the stacking area is affected by the external temperature can be obtained. Since when the temperature and humidity control device is working, it will be affected by both the temperature and humidity control device and the external environment of the workshop, it is necessary to further combine the degree to which the stacking area is affected by the external temperature to obtain the degree to which the stacking area is affected by the internal temperature.

[0016] When the temperature influence of the temperature regulating equipment on the stacking area is maintained in a balanced state with the temperature influence outside the tea aging workshop, the balanced time period of the stacking area refers to the time when the temperature of the stacking area is in a stable state under the joint influence of the environment outside the workshop and the temperature regulating equipment inside the workshop. In the balanced time period, the influence of the temperature outside the workshop on the stacking area and the influence of the temperature regulating equipment on the stacking area have a certain linear relationship. That is, the temperature prediction model of the stacking area is constructed by combining the influence of the temperature outside the workshop on the stacking area in all balanced time periods and the influence of the temperature regulating equipment on the stacking area, the temperature outside the workshop, the temperature of the stacking area and the temperature set by the temperature regulating equipment in the balanced time period. According to the temperature and humidity changes outside the workshop and the temperature and humidity prediction models of all stacking areas, the temperature and humidity in the workshop are adaptively adjusted to make each stacking area in the tea aging workshop in the best temperature and humidity environment as possible, thereby improving the aging quality of tea. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 The present invention is a flow chart of the steps of the temperature and humidity adaptive control method for a tea aging workshop; Figure 2 This is an example of the interior of the tea aging workshop; Figure 3 This is a schematic diagram of the internal structure of the tea aging workshop. DETAILED DESCRIPTION

[0019] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the temperature and humidity adaptive control method for a tea aging workshop proposed by the present invention, its specific implementation method, structure, features and effects are described in detail as follows in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0020] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0021] The specific scheme of the temperature and humidity adaptive control method for a tea aging workshop provided by the present invention is described in detail below with reference to the accompanying drawings.

[0022] See also Figure 1 , which shows a flow chart of the steps of a temperature and humidity adaptive control method for a tea aging workshop provided by an embodiment of the present invention, the method comprising the following steps: Step S001: Acquire the temperature and humidity outside the workshop, the temperature and humidity of each stacking area in the workshop, and the temperature and humidity set by the temperature and humidity regulating equipment.

[0023] It should be noted that the aging process of tea is to gradually transform the bitterness in the tea into a mellow and sweet flavor through oxidation, enzymatic reaction and microbial fermentation, thereby improving the quality of the tea; and the temperature and humidity during the aging process will directly affect the chemical changes and related microbial activities during the aging process of the tea. Therefore, in the aging process of tea, the control of temperature and humidity is very important. Therefore, this embodiment proposes a temperature and humidity adaptive control method for a tea aging workshop.

[0024] It should be further explained that there are several stacking areas in the tea aging workshop, where tea leaves are stacked, such as Figure 2 As shown, Figure 2 This is an example of the interior of a tea aging workshop; in each stacking area, the ambient temperature of the surface tea leaves and the internal tea leaves is different, resulting in different aging effects at different locations. Therefore, the tea leaves need to be turned over regularly during the aging process so that the tea leaves in a stacking area can maintain the same aging effect. At the same time, in order to control the temperature and humidity inside the tea aging workshop, it is also necessary to install temperature control equipment and humidity control equipment, temperature sensors and humidity sensors inside the tea aging workshop. Since the temperature and humidity inside the tea aging workshop will be affected by the external environment, in order to better adjust the temperature and humidity inside the tea aging workshop, it is also necessary to obtain the temperature and humidity outside the tea aging workshop.

[0025] Specifically, Figure 3 As shown, Figure 3 This is a schematic diagram of the internal structure of the tea aging workshop. Temperature and humidity control equipment are installed around the tea aging workshop. Temperature sensors and humidity sensors are installed under each stacking area and outside the tea workshop, and a sampling time interval is preset. And adjust the device recording time interval , and The specific value of can be set according to the actual situation. This embodiment does not make a hard requirement. Take the temperature sensor and humidity sensor outside the workshop, the temperature sensor and humidity sensor corresponding to each stacking area, and the camera at each interval The temperature and humidity are collected every minute to obtain the temperature and humidity outside the workshop and the temperature and humidity of each stacking area. The temperature and humidity set by the temperature and humidity control device are recorded once every second.

[0026] Step S002: construct a temperature curve of the stacking area according to the temperature of the stacking area, and obtain a plurality of internal influence curve segments and a plurality of external influence curve segments of the stacking area; obtain the degree of influence of the stacking area by the external temperature according to all the external influence curve segments of the stacking area; obtain the degree of influence of the stacking area by the internal temperature according to all the internal influence curve segments of the stacking area in combination with the degree of influence of the stacking area by the external temperature.

[0027] It should be noted that, since the temperature and humidity inside the tea aging workshop are always affected by the temperature and humidity outside the workshop, in order to ensure that the temperature and humidity inside the tea aging workshop remain stable, it is necessary to set the adjustment temperature of the temperature and humidity regulating device according to the temperature and humidity inside and outside the tea aging workshop, so as to ensure that the temperature and humidity inside the aging workshop remain stable; but since the distances between each stacking area and the temperature regulating device, the humidity regulating device and the outside of the workshop are different, each stacking area is affected to different degrees by the internal regulating device and the external environment, and in order to keep the temperature and humidity in the tea aging workshop consistent as much as possible, it is necessary for each stacking area to be affected by the internal regulating device and the external environment, according to the degree of influence of each stacking area by the internal regulating device and the external environment, for the subsequent combination of the temperature and humidity of each stacking area in the tea aging workshop and the temperature and humidity outside the tea aging workshop, the temperature and humidity regulating device is set to keep the temperature and humidity of each stacking area stable. Since the specific analysis logic and operation process of temperature and humidity in this embodiment are the same, this embodiment is described by temperature as an example.

[0028] Preferably, in a specific embodiment of the present invention, for any stacking area, a rectangular coordinate system is constructed with time as the horizontal axis and temperature as the vertical axis, all temperatures of the stacking area during the aging process are placed in the rectangular coordinate system, and all temperatures in the rectangular coordinate system are curve-fitted using the least squares method to obtain the temperature curve of the stacking area. Since the least squares method is a well-known prior art, it will not be described in detail in this embodiment; the time period when the temperature regulating equipment in the workshop is working is taken as the internal influence time period, and the time period when the temperature regulating equipment in the workshop is not working is taken as the external influence time period; the temperature curve segments in the temperature curve values ​​of the stacking area that are located in the internal influence time period and the external influence time period are respectively recorded as the internal influence curve segments and the external influence curve segments of the stacking area.

[0029] It should be noted that the external influence curve segment represents the temperature change when the temperature adjustment device is not working. At this time, the temperature change of the stacking area is only affected by the temperature of the external environment. Therefore, the degree of influence of the stacking area by the external temperature can be obtained through the external influence curve segment of the stacking area.

[0030] Preferably, in a specific embodiment of the present invention, for any accumulation area, the slope of the external influence curve segment of the accumulation area at each time is obtained, and a slope threshold is preset. , The specific value of can be set according to the actual situation. This embodiment does not make a hard requirement. Take the example of describing; the absolute value of the slope of the external influence curve segment of the stacking area is greater than The corresponding moment is recorded as the external change moment, and the time period composed of all the external change moments is taken as the external change time period, so as to obtain a plurality of external change time periods of the accumulation area; For any external change time period of the accumulation area, a derivative operation is performed on the external change time period, and an integral operation is performed on the derivative operation result of the external change time period, and the integral operation result is used as the steepness of the external change time period; Furthermore, the steepness of all external change time periods of the stacking area is obtained, and the average of the steepness of all external change time periods is used as the degree of influence of the external temperature on the stacking area.

[0031] It should be noted that, since the temperature regulating equipment inside the tea aging workshop did not work in the time period corresponding to the external influence curve segment of the stacking area, the temperature change in the stacking area was only affected by the external temperature. Therefore, the more drastic the temperature change in the external influence curve segment of the stacking area, the greater the impact of the stacking area by the temperature outside the workshop.

[0032] It should be further explained that when the temperature control equipment inside the tea aging workshop is working, the stacking area will be affected by both the external temperature and the internal temperature control equipment. Therefore, in order to accurately obtain the degree to which the stacking area is affected by the internal temperature, it is necessary to further combine the degree to which the stacking area is affected by the external temperature based on the analysis of the internal influence curve segment of the stacking area to obtain the degree to which the stacking area is affected by the internal temperature.

[0033] Preferably, in a specific embodiment of the present invention, for any accumulation region, the slope of the internal influence curve segment of the accumulation region at each time is obtained; the absolute value of the slope of the internal influence curve segment of the accumulation region is greater than The corresponding moment is recorded as the internal change moment, and the time period composed of all the internal change moments is taken as the internal change time period, so as to obtain a plurality of internal change time periods of the accumulation area; For any internal change time period of the accumulation area, a derivative operation is performed on the internal change time period, and an integral operation is performed on the derivative operation result of the internal change time period, and the integral operation result is used as the steepness of the internal change time period; Furthermore, the steepness of all internal change time periods of the stacking area is obtained, and the average of the steepness of all internal change time periods is taken as the degree to which the stacking area is affected by the mixing temperature, and the sum of the degree to which the stacking area is affected by the mixing temperature and the degree to which the stacking area is affected by the external temperature is taken as the degree to which the stacking area is affected by the internal temperature.

[0034] It should be noted that the temperature regulating device in the tea aging workshop always regulates the temperature in the opposite direction to the external temperature environment. For example, when the temperature outside the tea aging workshop is low, the temperature regulating device needs to be used to heat the tea aging workshop to maintain the internal temperature. Therefore, after obtaining the degree of influence of the mixing temperature on the stacking area, it is necessary to add the degree of influence of the external temperature on the stacking area to obtain the degree of influence of the internal temperature on the stacking area.

[0035] Thus, the degree to which the deposition area is affected by the external temperature and the degree to which the deposition area is affected by the internal temperature are obtained.

[0036] Step S003: according to the temperature curve of the stacking area, several equilibrium time periods of the stacking area are obtained; according to the temperature outside the workshop, the temperature of the stacking area and the temperature set by the temperature regulating device in all the equilibrium time periods of the stacking area, a temperature prediction model of the stacking area is constructed.

[0037] It should be noted that, since the aging process of tea leaves needs to maintain a stable temperature and humidity environment, when the temperature influence of the temperature regulating equipment on the stacking area and the temperature influence outside the tea aging workshop are maintained in a balanced state, the temperature of the stacking area can be kept stable; further, the temperature outside the tea aging workshop and the set output temperature of the temperature regulating equipment during the historical equilibrium time period of the stacking area can be combined with the degree of influence of the external temperature on the stacking area and the degree of influence of the internal temperature on the stacking area to construct a humidity prediction model for the stacking area. Since the specific analysis logic and operation process of constructing the humidity prediction model for the stacking area and constructing the temperature prediction model for the stacking area are the same, this embodiment is described by taking the construction of the temperature prediction model for the stacking area as an example.

[0038] Preferably, in a specific embodiment of the present invention, for any stacking area, the slope of the temperature curve of the stacking area at each time is obtained; and the absolute value of the slope of the temperature curve of the stacking area is less than or equal to The corresponding moment is recorded as the equilibrium moment, and the time period composed of all the equilibrium moments is taken as the equilibrium time period of the accumulation area; According to the temperature outside the workshop and the temperature set by the temperature regulating device in each balancing time period of the stacking area, combined with the degree of influence of the external temperature on the stacking area and the degree of influence of the internal temperature on the stacking area, the balancing coefficient of each balancing time period is obtained; according to the average of the balancing coefficients of all balancing time periods, the degree of influence of the external temperature on the stacking area and the degree of influence of the internal temperature on the stacking area, combined with the temperature outside the workshop and the temperature set by the temperature regulating device, a temperature prediction model of the stacking area is constructed:

[0039] In the formula, Indicates The equilibrium coefficient of the equilibrium time period; Indicates the degree to which the stacking area is affected by the internal temperature; Indicates the degree to which the stacking area is affected by the external temperature; Indicates that the stacking area is The mean temperature during the equilibrium period; Indicates The average temperature set by the temperature control device in a balanced time period; Indicates The average temperature outside the workshop during the equilibrium time period; represents the temperature of the deposition area obtained by the temperature prediction model of the deposition area (not the temperature collected by the temperature sensor); The temperature outside the workshop representing the temperature prediction model input to the stacking area; The temperature set by the temperature adjustment device representing the temperature prediction model input to the stacking area; It represents the average value of the balancing coefficient in all balancing time periods.

[0040] It should be noted that, since the equilibrium time period of the stacking area refers to the period when the temperature of the stacking area is in a stable state under the joint influence of the environment outside the workshop and the temperature control equipment inside the workshop, and the influence of the temperature outside the workshop on the stacking area and the influence of the temperature control equipment on the stacking area in the equilibrium time period have a certain linear relationship; and since the greater the temperature difference between the stacking area and the environment outside the workshop, and the greater the degree to which the stacking area is affected by the external temperature, the greater the influence of the temperature outside the workshop on the stacking area, the greater the difference between the temperature of the stacking area and the temperature set by the temperature control equipment, and the greater the degree to which the stacking area is affected by the internal temperature, the greater the influence of the temperature control equipment on the stacking area; therefore They respectively represent the impact of the temperature outside the workshop on the stacking area and the impact of the temperature control equipment on the stacking area.

[0041] It should be further explained that, since the influence of the temperature outside the lower workshop on the stacking area in the balancing time period and the influence of the temperature regulating device on the stacking area have a certain linear relationship, the influence of the temperature outside the lower workshop on the stacking area in all balancing time periods and the influence of the temperature regulating device on the stacking area are quantified and specifically expressed as the mean of the balancing coefficients of all balancing time periods. After obtaining the linear relationship, the degree of influence of the external temperature on the stacking area and the degree of influence of the internal temperature on the stacking area, as well as the temperature outside the workshop and the temperature set by the temperature regulating device, can be further combined to construct a temperature prediction model for the stacking area, where the original formula of the temperature prediction model for the stacking area is: ; Similarly, obtain the humidity prediction model of the stacking area.

[0042] At this point, the temperature prediction model and humidity prediction model of the stacking area are obtained.

[0043] Step S004: According to the temperature outside the workshop and the temperature prediction model of all stacking areas, obtain the set temperature of the temperature regulating device; obtain the set humidity of the humidity regulating device, and the process of obtaining the set humidity of the humidity regulating device is the same as the process of obtaining the set temperature of the temperature regulating device.

[0044] It should be noted that after obtaining the temperature prediction model and humidity prediction model of the stacking area in step S003, the temperature control equipment and humidity control equipment inside the tea aging workshop can be adjusted in real time according to the temperature change outside the tea aging workshop, so that the temperature and humidity in the tea aging workshop are always at the optimal temperature and humidity, thereby improving the quality of the finished aged tea leaves. Since the process of adjusting the humidity control equipment is the same as the process of adjusting the temperature control equipment, this embodiment is described by taking the adjustment of the temperature control equipment as an example.

[0045] Specifically, preset a temperature traversal initial value , Temperature traversal termination value And temperature traversal compensation ,in The specific value of can be set according to the actual situation. This embodiment does not make a hard requirement. Take this as an example to describe; The temperature outside the workshop at the current moment is , respectively as the temperature prediction model of each accumulation area and Input into the temperature prediction model of each stacking area to obtain the first predicted temperature of each stacking area at the current moment; The temperature outside the workshop at the current moment is , respectively as the temperature prediction model of each accumulation area and Input into the temperature prediction model of each stacking area to obtain the second predicted temperature of each stacking area at the current moment; And so on, until the temperature outside the workshop at the current moment is compared with , respectively as the temperature prediction model of each accumulation area and Input it into the temperature prediction model of each stacking area to obtain the temperature of each stacking area at the current moment. Predicted temperature; Furthermore, the optimal aging temperature of the tea leaves in the tea aging workshop is obtained, and the sum of the differences between the first predicted temperature of each stacking area at the current moment and the optimal aging temperature is inversely normalized, and the inversely normalized result is used as the temperature preference set by the temperature regulating device corresponding to the first predicted temperature of each stacking area at the current moment; the inversely normalized function is not a rigid requirement in this embodiment, and in this embodiment, Function is used as an example to perform inverse normalization; represents an exponential function with a natural constant as base, is the input of the model; Similarly, the temperature preference levels set by the temperature adjustment device corresponding to all predicted temperatures of each stacking area at the current moment are obtained, and the set temperature of the current temperature adjustment device is adjusted to the temperature corresponding to the maximum preference level.

[0046] At the same time, the optimal aging humidity of the tea leaves in the tea aging workshop is obtained (the process of obtaining the optimal aging humidity of the tea leaves in the tea aging workshop is the same as the process of obtaining the optimal aging temperature of the tea leaves in the tea aging workshop, so it will not be repeated in this embodiment), and the sum of the differences between the first predicted humidity of each stacking area at the current moment and the optimal aging humidity is inversely normalized, and the inversely normalized result is used as the humidity optimization degree set by the humidity regulating device corresponding to the first predicted humidity of each stacking area at the current moment; Similarly, the humidity preference levels set by the humidity control device corresponding to all predicted humidity levels in each stacking area at the current moment are obtained, and the set humidity of the current humidity control device is adjusted to the humidity corresponding to the maximum preference level.

[0047] At this point, this embodiment is completed.

[0048] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A temperature and humidity adaptive control method for a tea aging workshop, characterized in that: The method comprises the following steps: Obtain the temperature and humidity outside the workshop, the temperature and humidity of each stacking area in the workshop, and the temperature and humidity set by the temperature and humidity regulating equipment; According to the temperature of the stacking area, a temperature curve of the stacking area is constructed, and several internal influence curve segments and several external influence curve segments of the stacking area are obtained; according to all the external influence curve segments of the stacking area, the degree of influence of the stacking area by the external temperature is obtained; according to all the internal influence curve segments of the stacking area, combined with the degree of influence of the stacking area by the external temperature, the degree of influence of the stacking area by the internal temperature is obtained; According to the temperature curve of the stacking area, several equilibrium time periods of the stacking area are obtained; according to the temperature outside the workshop, the temperature of the stacking area and the temperature set by the temperature control device in all the equilibrium time periods of the stacking area, a temperature prediction model of the stacking area is constructed; According to the temperature outside the workshop and the temperature prediction model of all stacking areas, the set temperature of the temperature regulating device is obtained; the set humidity of the humidity regulating device is obtained, and the process of obtaining the set humidity of the humidity regulating device is the same as the process of obtaining the set temperature of the temperature regulating device.

2. The temperature and humidity adaptive control method for a tea aging workshop according to claim 1, characterized in that: The specific method of obtaining the temperature and humidity outside the workshop, the temperature and humidity of each stacking area in the workshop, and the temperature and humidity set by the temperature and humidity regulating device includes: Install temperature and humidity control equipment around the tea aging workshop, install temperature sensors and humidity sensors under each stacking area and outside the tea workshop, and preset a sampling time interval And adjust the device recording time interval ; Make the temperature sensors and humidity sensors outside the workshop, the temperature sensors and humidity sensors corresponding to each stacking area, and the cameras at each interval The temperature and humidity are collected every minute to obtain the temperature and humidity outside the workshop and the temperature and humidity of each stacking area. The temperature and humidity set by the temperature and humidity control device are recorded once a second.

3. The temperature and humidity adaptive control method for a tea aging workshop according to claim 1, characterized in that: The method of constructing a temperature curve of the stacking area according to the temperature of the stacking area and obtaining a plurality of internal influence curve segments and a plurality of external influence curve segments of the stacking area includes: For any stacking area, a rectangular coordinate system is constructed with time as the horizontal axis and temperature as the vertical axis, all temperatures of the stacking area during the aging process are placed in the rectangular coordinate system, and all temperatures in the rectangular coordinate system are curve-fitted using the least squares method to obtain the temperature curve of the stacking area; the time period when the temperature regulating equipment in the workshop is working is taken as the internal influence time period, and the time period when the temperature regulating equipment in the workshop is not working is taken as the external influence time period; the temperature curve segments in the temperature curve values ​​of the stacking area that are located in the internal influence time period and the external influence time period are respectively recorded as the internal influence curve segments and the external influence curve segments of the stacking area.

4. The temperature and humidity adaptive control method for a tea aging workshop according to claim 1, characterized in that: The specific method of obtaining the degree of influence of the external temperature on the stacking area according to all the external influence curve segments of the stacking area includes: For any accumulation area, obtain the slope of the external influence curve segment of the accumulation area at each time, and preset a slope threshold ; The absolute value of the slope of the external influence curve segment of the stacking area is greater than The corresponding moment is recorded as the external change moment, and the time period composed of all the external change moments is taken as the external change time period, so as to obtain a plurality of external change time periods of the accumulation area; For any external change time period of the accumulation area, a derivative operation is performed on the external change time period, and an integral operation is performed on the derivative operation result of the external change time period, and the integral operation result is used as the steepness of the external change time period; The steepness of all external change time periods of the stacking area is obtained, and the average of the steepness of all external change time periods is used as the degree of influence of the external temperature on the stacking area.

5. The temperature and humidity adaptive control method for a tea aging workshop according to claim 4, characterized in that: The method of obtaining the degree of influence of the internal temperature on the stacking area according to all the internal influence curve segments of the stacking area and the degree of influence of the external temperature on the stacking area includes: For any accumulation region, obtain the slope of the internal influence curve segment of the accumulation region at each time; The corresponding moment is recorded as the internal change moment, and the time period composed of all the internal change moments is taken as the internal change time period, so as to obtain a plurality of internal change time periods of the accumulation area; For any internal change time period of the accumulation area, a derivative operation is performed on the internal change time period, and an integral operation is performed on the derivative operation result of the internal change time period, and the integral operation result is used as the steepness of the internal change time period; The steepness of all internal change time periods of the stacking area is obtained, and the average of the steepness of all internal change time periods is used as the degree to which the stacking area is affected by the mixing temperature. The sum of the degree to which the stacking area is affected by the mixing temperature and the degree to which the stacking area is affected by the external temperature is used as the degree to which the stacking area is affected by the internal temperature.

6. The temperature and humidity adaptive control method for a tea aging workshop according to claim 4, characterized in that: The specific method of obtaining a plurality of equilibrium time periods of the stacking area according to the temperature curve of the stacking area includes: For any stacking area, obtain the slope of the temperature curve of the stacking area at each time; and set the absolute value of the slope of the temperature curve of the stacking area to be less than or equal to The corresponding moment is recorded as the equilibrium moment, and the time period composed of all the equilibrium moments is taken as the equilibrium time period of the accumulation area.

7. The temperature and humidity adaptive control method for a tea aging workshop according to claim 1, characterized in that: The specific method of constructing a temperature prediction model for the stacking area according to the temperature outside the workshop, the temperature of the stacking area and the temperature set by the temperature regulating device in all equilibrium time periods of the stacking area includes: For any stacking area, the balancing coefficient of each balancing time period is obtained according to the temperature outside the workshop and the temperature set by the temperature regulating device in each balancing time period of the stacking area, combined with the degree to which the stacking area is affected by the external temperature and the degree to which the stacking area is affected by the internal temperature; according to the average of the balancing coefficients of all balancing time periods, the degree to which the stacking area is affected by the external temperature and the degree to which the stacking area is affected by the internal temperature, combined with the temperature outside the workshop and the temperature set by the temperature regulating device, a temperature prediction model of the stacking area is constructed.

8. The temperature and humidity adaptive control method for a tea aging workshop according to claim 7, characterized in that: The temperature prediction model of the stacking area is constructed, and the specific calculation formula included is: In the formula, Indicates The equilibrium coefficient of the equilibrium time period; Indicates the degree to which the stacking area is affected by the internal temperature; Indicates the degree to which the stacking area is affected by the external temperature; Indicates that the stacking area is The mean temperature during the equilibrium period; Indicates The average temperature set by the temperature control device in a balanced time period; Indicates The average temperature outside the workshop during the equilibrium time period; represents the temperature of the deposition area obtained by the temperature prediction model of the deposition area; The temperature outside the workshop representing the temperature prediction model input to the stacking area; The temperature set by the temperature adjustment device representing the temperature prediction model input to the stacking area; It represents the average value of the balancing coefficient in all balancing time periods.

9. The temperature and humidity adaptive control method for a tea aging workshop according to claim 1, characterized in that: The specific method of obtaining the set temperature of the temperature regulating device according to the temperature outside the workshop and the temperature prediction model of all stacking areas includes: Preset a temperature traversal initial value , Temperature traversal termination value And temperature traversal compensation ; Compare the temperature outside the workshop at the current moment with , respectively as the temperature prediction model of each accumulation area and Input into the temperature prediction model of each stacking area to obtain the first predicted temperature of each stacking area at the current moment; The temperature outside the workshop at the current moment is , respectively as the temperature prediction model of each accumulation area and Input into the temperature prediction model of each stacking area to obtain the second predicted temperature of each stacking area at the current moment; Until the temperature outside the workshop at the current moment is , respectively as the temperature prediction model of each accumulation area and Input it into the temperature prediction model of each stacking area to obtain the temperature of each stacking area at the current moment. Predicted temperature; According to all predicted temperatures of each stacking area at the current moment, the set temperature of the current temperature control device is obtained.

10. The temperature and humidity adaptive control method for a tea aging workshop according to claim 9, characterized in that: The specific method of obtaining the set temperature of the current temperature adjustment device according to all predicted temperatures of each stacking area at the current moment includes: Obtaining the optimal aging temperature of tea leaves in the tea aging workshop, inversely normalizing the sum of the differences between the first predicted temperature of each stacking area at the current moment and the optimal aging temperature, and using the inversely normalized result as the preferred degree of the temperature set by the temperature regulating device corresponding to the first predicted temperature of each stacking area at the current moment; The temperature preference levels set by the temperature adjustment device corresponding to all predicted temperatures of each stacking area at the current moment are obtained, and the set temperature of the current temperature adjustment device is adjusted to the temperature corresponding to the maximum preference level.

Citation Information

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