Temperature and Humidity Adaptive Control Method for Tea Aging Workshop

Abstract

The present invention relates to the technical field of temperature and humidity control, and specifically relates to a temperature and humidity adaptive control method for a tea aging workshop, including: obtaining the temperature and humidity outside the workshop, the temperature and humidity in the stacking area, and the temperature and humidity set by the temperature and humidity adjustment equipment; according to the temperature in the stacking area, obtaining the influence degree of the external temperature and the influence degree of the internal temperature on the stacking area; according to the temperature in the stacking area, combining the temperature outside the workshop, the temperature in the stacking area, and the temperature set by the temperature adjustment equipment, constructing a temperature prediction model for the stacking area, and combining the temperature change outside the workshop in the stacking area and the temperature prediction models of all stacking areas, obtaining the set temperature of the temperature adjustment equipment. The present invention analyzes the influence of the temperature and humidity adjustment equipment and the external environment of the workshop on each stacking area, and adaptively adjusts the temperature and humidity in the workshop, so as to improve the quality of tea aging.

Description

Technical Field

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

[0002] Tea aging refers to the process in which tea gradually changes from fresh and bitter to mellow and fragrant through oxidation, enzymatic reactions, and microbial fermentation. Temperature and humidity during the aging process have a great impact on the oxidation, enzymatic reactions, and microbial fermentation of tea. Therefore, it is particularly important to control temperature and humidity during the tea aging process. However, since there are multiple tea stacking areas in the tea aging workshop, there are certain differences in the distances between each tea stacking area, the temperature and humidity adjustment equipment, and the external environment of the workshop. As a result, the influence of the temperature and humidity adjustment equipment and the external environment of the workshop on each tea stacking area is different; the temperature and humidity of the traditional tea aging workshop do not take into account the differences in the influence of the temperature and humidity adjustment equipment and the external environment of the workshop on each tea stacking area, resulting in 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 the traditional tea aging workshop lead to poor quality of the aged tea.

[0004] The temperature and humidity adaptive control method for a tea aging workshop of the present invention adopts the following technical solutions:

[0005] It includes the following steps:

[0006] Obtain the temperature and humidity outside the workshop and the temperature, humidity, and the set temperature and humidity of the temperature and humidity adjustment equipment in each stacking area inside the workshop;

[0007] According to the temperature of the stacking area, construct the temperature curve of the stacking area, and obtain several internal influence curve segments and several external influence curve segments of the stacking area; according to all the 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 internal influence curve segments of the stacking area, and combining the degree of influence of the stacking area by the external temperature, obtain the degree of influence of the stacking area by the internal temperature;

[0008] According to the temperature curve of the stacking area, obtain several equilibrium time periods of the stacking area; according to the temperature outside the workshop, the temperature of the stacking area, and the temperature set by the temperature adjustment equipment during all the equilibrium time periods of the stacking area, construct the temperature prediction model of the stacking area;

[0009] Obtain the set temperature of the temperature control equipment according to the temperature outside the workshop and the temperature prediction model of all stacking areas; obtain the set humidity of the humidity control equipment, and the process of obtaining the set humidity of the humidity control equipment is the same as the process of obtaining the set temperature of the temperature control equipment.

[0010] Preferably, the specific method for obtaining the temperature and humidity outside the workshop and the temperature, humidity, and the set temperature and humidity of the temperature and humidity control equipment in each stacking area inside the workshop includes:

[0011] Install temperature control equipment 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 the recording time interval of the control equipment ; make the temperature sensors outside the workshop, humidity sensors, temperature sensors and humidity sensors corresponding to each stacking area, and the camera collect temperature and humidity every minute to obtain the temperature and humidity outside the workshop and the temperature and humidity of each stacking area, and make the temperature control equipment and humidity control equipment record the set temperature and humidity of the temperature and humidity control equipment every second.

[0012] Preferably, the specific method for constructing the temperature curve of the stacking area according to the temperature of the stacking area and obtaining several internal influence curve segments and several external influence curve segments of the stacking area includes:

[0013] For any stacking area, construct a rectangular coordinate system with time as the horizontal axis and temperature as the vertical axis, place all the temperatures of the stacking area during the aging process into the rectangular coordinate system, and use the least squares method to perform curve fitting on all the temperatures in the rectangular coordinate system to obtain the temperature curve of the stacking area; regard the time period when the temperature control equipment inside the workshop is working as the internal influence period, and regard the time period when the temperature control equipment inside the workshop is not working as the external influence period; record the temperature curve segments of the temperature curve value of the stacking area located in the internal influence period and the external influence period as the internal influence curve segment and the external influence curve segment of the stacking area respectively.

[0014] Preferably, the specific method for obtaining the degree of influence of the stacking area by the external temperature according to all the external influence curve segments of the stacking area includes:

[0015] For any stacking area, obtain the slope of the external influence curve segment of the stacking area at each moment, and preset a slope threshold ; make the absolute value of the slope in the external influence curve segment of the stacking area greater than The corresponding moment is recorded as the external change moment, and the time period composed of all external change moments is used as the external change time period, obtaining several external change time periods of the stacking area;

[0016] For any external change time period of the stacking area, perform a derivative operation on the external change time period, and perform an integral operation on the result of the derivative operation of the external change time period, taking the result of the integral operation as the steepness of the external change time period;

[0017] Obtain the steepness of all external change time periods of the stacking area, and take the average value of the steepness of all external change time periods as the degree of influence of the external temperature on the stacking area.

[0018] Preferably, the method for obtaining the degree of influence of the internal temperature on the stacking area according to all internal influence curve segments of the stacking area and combining the degree of influence of the external temperature on the stacking area includes the following specific methods:

[0019] For any stacking area, obtain the slope of the internal influence curve segment of the stacking area at each moment; the corresponding moment when the absolute value of the slope in the internal influence curve segment of the stacking area is greater than is recorded as the internal change moment, and the time period composed of all internal change moments is used as the internal change time period, obtaining several internal change time periods of the stacking area;

[0020] For any internal change time period of the stacking area, perform a derivative operation on the internal change time period, and perform an integral operation on the result of the derivative operation of the internal change time period, taking the result of the integral operation as the steepness of the internal change time period;

[0021] Obtain the steepness of all internal change time periods of the stacking area, and take the average value of the steepness of all internal change time periods as the degree of influence of the mixing temperature on the stacking area, and take the sum of the degree of influence of the mixing temperature on the stacking area and the degree of influence of the external temperature on the stacking area as the degree of influence of the internal temperature on the stacking area.

[0022] Preferably, the method for obtaining several equilibrium time periods of the stacking area according to the temperature curve of the stacking area includes the following specific methods:

[0023] For any stacking area, obtain the slope of the temperature curve of the stacking area at each moment; and the corresponding moment when the absolute value of the slope in the temperature curve of the stacking area is less than or equal to is recorded as the equilibrium moment, and the time period composed of all equilibrium moments is used as the equilibrium time period of the stacking area.

[0024] Preferably, constructing a temperature prediction model for the stacking area according to the temperature outside the workshop, the temperature in the stacking area, and the temperature set by the temperature adjustment device during all equilibrium time periods in the stacking area, the specific method includes:

[0025] For any stacking area, according to the temperature outside the workshop and the temperature set by the temperature adjustment device in each equilibrium time period of the stacking area, combining the influence degree of the external temperature on the stacking area and the influence degree of the internal temperature on the stacking area, obtain the equilibrium coefficient of each equilibrium time period; according to the average value of the equilibrium coefficients of all equilibrium time periods, the influence degree of the external temperature on the stacking area and the influence degree of the internal temperature on the stacking area, combining the temperature outside the workshop and the temperature set by the temperature adjustment device, construct the temperature prediction model of the stacking area.

[0026] Preferably, the specific calculation formula for constructing the temperature prediction model of the stacking area includes:

[0027]

[0028] In the formula, represents the equilibrium coefficient of the th equilibrium time period; represents the influence degree of the internal temperature on the stacking area; represents the influence degree of the external temperature on the stacking area; represents the average temperature of the stacking area in the th equilibrium time period; represents the average value of the temperature set by the temperature adjustment device in the th equilibrium time period; represents the average temperature outside the workshop in the th equilibrium time period; represents the temperature of the stacking area obtained through the temperature prediction model of the stacking area; represents the temperature outside the workshop input into the temperature prediction model of the stacking area; represents the temperature set by the temperature adjustment device input into the temperature prediction model of the stacking area; represents the average value of the equilibrium coefficients of all equilibrium time periods.

[0029] Preferably, the specific method for obtaining the set temperature of the temperature adjustment device according to the temperature outside the workshop and the temperature prediction models of all stacking areas includes:

[0030] Preset a temperature traversal initial value , a temperature traversal termination value and a temperature traversal compensation ; Combine the temperature outside the workshop at the current moment with are respectively used as the and input into the temperature prediction model of each stacking area, and the first predicted temperature of each stacking area at the current moment is obtained;

[0031] The temperature outside the workshop at the current moment is compared with are respectively used as the and input into the temperature prediction model of each stacking area, and the second predicted temperature of each stacking area at the current moment is obtained;

[0032] until the temperature outside the workshop at the current moment is compared with are respectively used as the and input into the temperature prediction model of each stacking area, and the predicted temperature of each stacking area at the current moment is obtained;

[0033] According to all the predicted temperatures of each stacking area at the current moment, the set temperature of the current temperature regulating device is obtained.

[0034] Preferably, the method for obtaining the set temperature of the current temperature regulating device according to all the predicted temperatures of each stacking area at the current moment includes the following specific steps:

[0035] Obtain the optimal aging temperature of the tea in the tea aging workshop, perform inverse proportional normalization on the sum of the differences between the first predicted temperature of each stacking area at the current moment and the optimal aging temperature, and use the inverse proportional normalization result as the preference degree of the temperature set by the temperature regulating device corresponding to the first predicted temperature of each stacking area at the current moment;

[0036] Obtain the preference degrees of the temperatures set by the temperature regulating devices corresponding to all the predicted temperatures of each stacking area at the current moment, and adjust the set temperature of the current temperature regulating device to the temperature corresponding to the maximum preference degree.

[0037] The beneficial effect of the technical solution of the present invention is as follows: By analyzing the temperature and humidity changes in each stacking area and combining the temperature changes in the stacking area corresponding to when the temperature and humidity regulating device is not working, that is, the external influence curve segment is obtained. 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 influence degree of the external temperature on the stacking area can be obtained therefrom. Also, since when the temperature and humidity regulating device is working, it will be affected by both the temperature and humidity regulating device and the external environment of the workshop, it is necessary to further combine the influence degree of the external temperature on the stacking area to obtain the influence degree of the internal temperature on the stacking area.

[0038] When the temperature influence of the temperature regulation equipment on the stacking area is in an equilibrium state with the temperature influence outside the tea aging workshop, the equilibrium time period of the stacking area means that under the combined influence of the external environment of the workshop and the temperature regulation equipment inside the workshop, the temperature of the stacking area is in a stable state. And under the equilibrium time period, there is a certain linear relationship between the influence of the outside temperature on the stacking area and the influence of the temperature regulation equipment on the stacking area. That is, through the influence of the outside temperature on the stacking area and the influence of the temperature regulation equipment on the stacking area under all equilibrium time periods, combined with the outside temperature, the temperature of the stacking area, and the temperature set by the temperature regulation equipment under the equilibrium time period, a temperature prediction model of the stacking area can be constructed; according to the changes in temperature and humidity outside the workshop and the temperature and humidity prediction models of all stacking areas, the temperature and humidity inside the workshop can be adaptively adjusted to make each stacking area in the tea aging workshop as close as possible to the optimal temperature and humidity environment, so as to improve the quality of tea aging. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0040] Figure 1 It is a flowchart of the steps of the temperature and humidity adaptive control method for the tea aging workshop of the present invention;

[0041] Figure 2 It is an internal example diagram of the tea aging workshop;

[0042] Figure 3 It is a schematic diagram of the internal structure of the tea aging workshop. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following, in combination with the drawings and preferred embodiments, details the specific implementation manners, structures, features, and effects of the temperature and humidity adaptive control method for the tea aging workshop proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0044] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0045] The following specifically describes the specific solution of the temperature and humidity adaptive control method provided by the present invention for the tea aging workshop in conjunction with the accompanying drawings.

[0046] Please refer to Figure 1 , which shows the flowchart of the steps of the temperature and humidity adaptive control method for the tea aging workshop provided by an embodiment of the present invention. The method includes the following steps:

[0047] Step S001: Obtain the temperature and humidity outside the workshop, as well as the temperature, humidity, and the set temperature and humidity of the temperature and humidity adjustment equipment in each stacking area inside the workshop.

[0048] It should be noted that the aging process of tea is to gradually transform the bitterness and astringency in tea into a mellow and sweet flavor through oxidation, enzymatic reactions, and microbial fermentation, thereby improving the quality of tea; and the temperature and humidity during the aging process will directly affect the chemical changes and related microbial activities during the tea aging process. Therefore, during the tea aging process, the control of temperature and humidity is crucial. Therefore, this embodiment proposes a temperature and humidity adaptive control method for the tea aging workshop.

[0049] It should be further noted that there are several stacking areas in the tea aging workshop, and the tea is stacked in the stacking areas. As Figure 2 shown, Figure 2 is an internal diagram of the tea aging workshop; since in each stacking area, the ambient temperature of the surface tea and the internal tea is different, resulting in differences in the aging effects at different positions, it is necessary to regularly turn the tea during the tea aging process to ensure that the tea 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 adjustment equipment, humidity adjustment equipment, temperature sensors, and humidity sensors inside the tea aging workshop. Also, since the temperature and humidity inside the tea aging workshop are 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.

[0050] Specifically, as Figure 3 shown, Figure 3 is a schematic diagram of the internal structure of the tea aging workshop; temperature adjustment equipment and humidity adjustment equipment are installed around the tea aging workshop, temperature sensors and humidity sensors are installed below each stacking area and outside the tea workshop, and a sampling time interval and the recording time interval of the adjustment equipment are set. The specific values of and can be set according to the specific actual situation, and this embodiment does not make strict requirements. In this embodiment, will be described by taking it as an example; let the temperature sensor and humidity sensor outside the workshop, the temperature sensor and humidity sensor corresponding to each stacking area, and the camera collect the temperature and humidity every minutes, so as to obtain the temperature and humidity outside the workshop and the temperature and humidity of each stacking area. Let the temperature adjustment device and humidity adjustment device record the temperature and humidity set by the temperature and humidity adjustment device every seconds.

[0051] Step S002: According to the temperature of the stacking area, construct the temperature curve of the stacking area, and obtain several internal influence curve segments and several external influence curve segments of the stacking area; according to all the 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 internal influence curve segments of the stacking area, combined with the degree of influence of the stacking area by the external temperature, obtain the degree of influence of the stacking area by the internal temperature.

[0052] 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 adjusted temperature of the temperature and humidity adjustment 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; however, due to the different distances between each stacking area and the temperature adjustment device, humidity adjustment device and outside the workshop, the degree of influence of each stacking area by the internal adjustment device and the external environment is different. In order to make the temperature and humidity of each stacking area as consistent as possible when adjusting the temperature and humidity in the tea aging workshop, it is necessary to know the degree of influence of each stacking area by the internal adjustment device and the external environment. According to the degree of influence of each stacking area by the internal adjustment device and the external environment, for 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, set the temperature and humidity adjustment device 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 will be described by taking temperature as an example.

[0053] 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.

[0054] 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.

[0055] 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;

[0056] 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;

[0057] 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.

[0058] 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.

[0059] It should be further noted that when the temperature adjustment equipment inside the tea aging workshop is working, the stacking area will be affected by both the external temperature and the internal temperature adjustment equipment. Therefore, to accurately obtain the degree of influence of the internal temperature on the stacking area, it is necessary to further combine the degree of influence of the external temperature on the stacking area on the basis of analyzing the internal influence curve segment of the stacking area to obtain the degree of influence of the internal temperature on the stacking area.

[0060] Preferably, in a specific embodiment of the present invention, for any stacking area, obtain the slope of the internal influence curve segment of the stacking area at each moment; the absolute value of the slope in the internal influence curve segment of the stacking area is greater than The corresponding moment is recorded as the internal change moment, and the time period composed of all internal change moments is used as the internal change time period to obtain several internal change time periods of the stacking area;

[0061] For any internal change time period of the stacking area, perform a derivative operation on the internal change time period, and perform an integral operation on the result of the derivative operation of the internal change time period, and use the result of the integral operation as the steepness of the internal change time period;

[0062] Furthermore, obtain the steepness of all internal change time periods of the stacking area, and take the average value of the steepness of all internal change time periods as the degree of influence of the stacking area by the mixed temperature, and take the sum of the degree of influence of the stacking area by the mixed temperature and the degree of influence of the stacking area by the external temperature as the degree of influence of the stacking area by the internal temperature.

[0063] It should be noted that since the temperature adjustment direction of the temperature adjustment equipment in the tea aging workshop is always opposite to the external temperature environment. For example, when the temperature outside the tea aging workshop is low, heating is required through the temperature adjustment equipment to maintain the internal temperature of the tea aging workshop. Therefore, after obtaining the degree of influence of the stacking area by the mixed temperature, it is necessary to add the degree of influence of the stacking area by the external temperature to obtain the degree of influence of the stacking area by the internal temperature.

[0064] So far, the degree of influence of the stacking area by the external temperature and the degree of influence of the stacking area by the internal temperature are obtained.

[0065] Step S003: According to the temperature curve of the stacking area, obtain several equilibrium time periods of the stacking area; according to the temperature outside the workshop, the temperature of the stacking area, and the temperature set by the temperature adjustment equipment under all equilibrium time periods of the stacking area, construct a temperature prediction model of the stacking area.

[0066] It should be noted that since the aging process of tea requires a stable temperature and humidity environment, when the temperature influence of the temperature regulation equipment on the stacking area is maintained in an equilibrium state with the temperature influence outside the tea aging workshop, the temperature of the stacking area can be kept stable; further, a humidity prediction model for the stacking area can be constructed by combining the temperature outside the tea aging workshop and the set output temperature of the temperature regulation equipment during the equilibrium time period in the history of the stacking area, considering 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. Since the specific analysis logic and operation process for constructing the humidity prediction model for the stacking area and the temperature prediction model for the stacking area are the same, this embodiment will take the construction of the temperature prediction model for the stacking area as an example for description.

[0067] Preferably, in a specific embodiment of the present invention, for any stacking area, obtain the slope of the temperature curve of the stacking area at each moment; and record the corresponding moments when the absolute value of the slope in the temperature curve of the stacking area is less than or equal to as the equilibrium moments, and use the time period composed of all the equilibrium moments as the equilibrium time period of the stacking area;

[0068] According to the temperature outside the workshop and the set temperature of the temperature regulation equipment in each equilibrium time period of the stacking area, combining 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, obtain the equilibrium coefficient of each equilibrium time period; according to the mean value of the equilibrium coefficients of all the equilibrium 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, combining the temperature outside the workshop and the set temperature of the temperature regulation equipment, construct the temperature prediction model of the stacking area:

[0069]

[0070] In the formula, represents the equilibrium coefficient of the th equilibrium time period; represents the degree of influence of the internal temperature on the stacking area; represents the degree of influence of the external temperature on the stacking area; represents the average temperature of the stacking area in the th equilibrium time period; represents the average value of the temperature set by the temperature regulation equipment in the th equilibrium time period; represents the average temperature outside the workshop in the th equilibrium time period; represents the temperature of the stacking area obtained through the temperature prediction model of the stacking area (not the temperature collected by the temperature sensor); The temperature outside the workshop representing the temperature prediction model of the input stacking area; The temperature set by the temperature control device representing the temperature prediction model of the input stacking area; Represents the average value of the equilibrium coefficients for all equilibrium time periods.

[0071] It should be noted that since the equilibrium time period of the stacking area means that under the combined influence of the external workshop environment and the temperature control device inside the workshop, the temperature of the stacking area is in a stable state, and the influence of the temperature outside the workshop on the stacking area and the influence of the temperature control device on the stacking area during the equilibrium time period have a certain linear relationship; also, the greater the temperature difference between the stacking area and the external workshop environment, and the greater the influence of the external temperature on the stacking area, 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 device, and the greater the influence of the internal temperature on the stacking area, the greater the influence of the temperature control device on the stacking area; therefore Respectively represent the influence of the temperature outside the workshop on the stacking area and the influence of the temperature control device on the stacking area.

[0072] It should be further noted that since the influence of the temperature outside the workshop on the stacking area and the influence of the temperature control device on the stacking area during the equilibrium time period have a certain linear relationship, therefore, through the influence of the temperature outside the workshop on the stacking area and the influence of the temperature control device on the stacking area during all equilibrium time periods, the specific expression of quantifying the linear relationship is the average value of the equilibrium coefficients for all equilibrium time periods. After obtaining the linear relationship, it is possible to further combine the influence degree of the external temperature on the stacking area and the influence degree of the internal temperature on the stacking area, as well as the temperature outside the workshop and the temperature set by the temperature control device, 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 for the stacking area.

[0073] Thus, by obtaining the temperature prediction model and humidity prediction model for the stacking area.

[0074] Step S004: According to the temperature outside the workshop and the temperature prediction models of all stacking areas, obtain the set temperature of the temperature control device; obtain the set humidity of the humidity control device. The process of obtaining the set humidity of the humidity control device is the same as the process of obtaining the set temperature of the temperature control device.

[0075] It should be noted that after obtaining the temperature prediction model and humidity prediction model of the stacking area through step S003, the temperature adjustment device and humidity adjustment device 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 inside the tea aging workshop are always at the optimal temperature and humidity, thereby improving the quality of the aged tea products. Since the process of adjusting the humidity adjustment device is the same as that of adjusting the temperature adjustment device, this embodiment will take the adjustment of the temperature adjustment device as an example for description.

[0076] Specifically, preset an initial temperature traversal value , a termination value of temperature traversal and a compensation for temperature traversal , where The specific values can be set according to the actual situation and are not rigidly required in this embodiment. In this embodiment, is taken as an example for description;

[0077] Take the temperature outside the workshop at the current moment and , and respectively as and in the temperature prediction model of each stacking area, and input them into the temperature prediction model of each stacking area to obtain the first predicted temperature of each stacking area at the current moment;

[0078] Take the temperature outside the workshop at the current moment and , and respectively as and in the temperature prediction model of each stacking area, and input them into the temperature prediction model of each stacking area to obtain the second predicted temperature of each stacking area at the current moment;

[0079] And so on, until the temperature outside the workshop at the current moment and , and respectively as and in the temperature prediction model of each stacking area, and input them into the temperature prediction model of each stacking area to obtain the predicted temperature of each stacking area at the current moment;

[0080] Furthermore, obtain the optimal aging temperature of the tea in the tea aging workshop, perform inverse proportional normalization on the sum of the differences between the first predicted temperature of each stacking area at the current moment and the optimal aging temperature, and use the inverse proportional normalization result as the temperature preference degree set for the temperature adjustment device corresponding to the first predicted temperature of each stacking area at the current moment; The inverse proportional normalization function is not rigidly required in this embodiment. In this embodiment, function is taken as an example for inverse proportional normalization; the represents an exponential function with the natural constant as the base, is the input for the model;

[0081] Similarly, obtain the temperature preference levels set by the temperature adjustment devices corresponding to all the predicted temperatures in each stacking area at the current moment, and adjust the set temperature of the current temperature adjustment device to the temperature corresponding to the maximum preference level.

[0082] Meanwhile, obtain the optimal aging humidity of the tea in the tea aging workshop (the process of obtaining the optimal aging humidity of the tea in the tea aging workshop is the same as the process of obtaining the optimal aging temperature of the tea in the tea aging workshop, so it will not be elaborated in this embodiment). Perform inverse proportional normalization on the sum of the differences between the first predicted humidity and the optimal aging humidity in each stacking area at the current moment, and use the inverse proportional normalization result as the humidity preference level set by the humidity adjustment device corresponding to the first predicted humidity in each stacking area at the current moment;

[0083] Similarly, obtain the humidity preference levels set by the humidity adjustment devices corresponding to all the predicted humidities in each stacking area at the current moment, and adjust the set humidity of the current humidity adjustment device to the humidity corresponding to the maximum preference level.

[0084] Thus, this embodiment is completed.

[0085] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present invention shall 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; 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; preset a slope threshold , and the absolute value of the slope of the temperature curve in 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.

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 ; The temperature sensors and humidity sensors outside the workshop, the temperature sensors and humidity sensors corresponding to each stacking area, and the cameras are connected 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.

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, performing a derivative operation on the external change time period, and performing an integral operation on the derivative operation result of the external change time period, and using the integral operation result 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 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 is as follows: 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.

7. The temperature and humidity adaptive control method for a tea aging workshop according to claim 6, 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.

8. 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.

9. The temperature and humidity adaptive control method for a tea aging workshop according to claim 8, 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 value of the preference level.

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