Temperature and humidity control system for white tea withering

Abstract

The invention discloses a temperature and humidity control system for white tea withering, and relates to the technical field of temperature and humidity control. After a temperature change prediction module comprehensively analyzes the temperature change rate and temperature change influence data, the temperature change trend in a withering room is predicted; the humidity change prediction module comprehensively analyzes the humidity change rate and the humidity change influence data and then predicts the humidity change trend in the withering room, and the control module generates an adjusting strategy for the operation power of the heater or the cooler according to the temperature change trend prediction result. And according to the humidity change trend prediction result, an adjusting strategy for the operation power of the humidifier or the dehumidifier is generated. After the control system predicts the change trend of the temperature and humidity in the withering room, the temperature and humidity in the withering room are adjusted in advance, and the operation power of the equipment is dynamically adjusted according to the change speed of the change trend, so that the stability of the temperature and humidity in the withering room is guaranteed, and the quality of the white tea after withering is guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of temperature and humidity control, and in particular to a temperature and humidity control system for withering white tea. Background Art

[0002] Withering of white tea is one of the most important processes in the production of white tea, which directly affects the quality and flavor of white tea. Withering refers to spreading the freshly picked tea leaves in the equipment and causing slow chemical changes in the substances contained in the tea leaves through moderate evaporation of water. During the withering process of white tea, temperature and humidity need to be strictly controlled. Too high temperature may cause rapid evaporation of tea water and withering too quickly, affecting the aroma and taste of the tea leaves as well as the uniformity of withering. Too low temperature may cause withering too long, making the tea leaves stale and affecting the quality. Too high humidity may make it difficult for the water inside the tea leaves to dissipate, which may easily cause the tea leaves to mold or deteriorate. Too low humidity may cause the tea leaves to lose water too quickly, affecting the uniformity of withering, and the appearance and internal structure of the tea leaves may be affected.

[0003] The existing control system monitors the temperature and humidity in real time through the temperature and humidity sensors inside the withering room, and controls the heater, cooler, humidifier and dehumidifier based on the comparison results between the real-time temperature and humidity and the preset temperature and humidity stable range. However, in the actual withering process, the temperature and humidity may change greatly or slightly. The control system controls the heater, cooler, humidifier and dehumidifier at a preset fixed power. If the temperature and humidity change greatly, the fixed power control may easily lead to a slow adjustment speed. If the temperature and humidity change slightly, the fixed power control may easily lead to a fast adjustment speed. Due to the uncertainty of the internal environment of the withering room, a slow or fast adjustment speed may cause excessive fluctuations in the temperature and humidity inside the withering room, thereby affecting the quality of white tea.

[0004] Based on this, the present invention proposes a temperature and humidity control system for withering white tea. After predicting the changing trend of the temperature and humidity inside the withering room, the temperature and humidity inside the withering room are adjusted in advance, and the operating power of the equipment is dynamically adjusted according to the changing speed of the changing trend, so as to ensure the stability of the temperature and humidity inside the withering room and ensure the quality of the white tea after withering. Summary of the invention

[0005] The purpose of the present invention is to provide a temperature and humidity control system for withering white tea to solve the shortcomings of the background technology.

[0006] In order to achieve the above object, the present invention provides the following technical solution: a temperature and humidity control system for withering white tea, comprising a temperature change prediction module, a humidity change prediction module, a control module, and a management module;

[0007] Temperature change prediction module: obtain the temperature change rate of the withering room within a period of time, and obtain the temperature change impact data, and after comprehensive analysis of the temperature change rate and the temperature change impact data, predict the temperature change trend inside the withering room;

[0008] Humidity change prediction module: obtain the humidity change rate of the withering room within a period of time, and obtain the humidity change impact data. After comprehensive analysis of the humidity change rate and humidity change impact data, predict the humidity change trend inside the withering room;

[0009] Control module: Generates a regulation strategy for the operating power of the heater or cooler based on the temperature change trend prediction result, and generates a regulation strategy for the operating power of the humidifier or dehumidifier based on the humidity change trend prediction result;

[0010] Management module: Combine the temperature change trend prediction results and the humidity change trend prediction results to analyze the abnormal conditions inside the withering room, and generate corresponding management strategies based on the abnormal condition analysis results.

[0011] In a preferred embodiment, the temperature change prediction module obtains temperature change impact data, and the temperature change impact data includes heat released by tea leaves and ventilation volume;

[0012] The temperature change rate, heat released by tea leaves and ventilation volume are comprehensively analyzed to calculate the temperature change coefficient, which is expressed as: Where wd x is the temperature variation coefficient, wd change is the temperature change rate, csf is the heat released by tea leaves, tfl is the ventilation rate, α and β are the heat released by tea leaves and the ventilation rate, respectively. is the temperature deviation value at time point T2, and both α and β are greater than 0.

[0013] In a preferred embodiment, the humidity change prediction module obtains humidity change impact data, and the humidity change impact data includes tea water evaporation and ventilation volume;

[0014] The humidity change rate, tea water evaporation and ventilation volume are comprehensively analyzed to calculate the humidity change coefficient, which is expressed as: In the formula, sd x is the humidity variation coefficient, sd change is the humidity change rate, czl is the heat released by tea leaves, tfl is the ventilation rate, γ and δ are the evaporation rate of tea leaves and the ventilation rate, respectively. is the humidity deviation value at time point T2, and both γ and δ are greater than 0.

[0015] In a preferred embodiment, the control module adjusts the operating power of the heater or cooler according to the temperature variation coefficient, and the expression is: In the formula, gl new is the adjusted operating power, gl old is the operating power before adjustment, wd x is the temperature variation coefficient, if This indicates that the temperature inside the withering room is on the rise. The operation of the cooler is controlled by adjusting the operating power. This indicates that the temperature inside the withering room is on a downward trend, and the heater operation is controlled by the adjusted operating power.

[0016] In a preferred embodiment, the control module adjusts the operating power of the heater or cooler according to the humidity variation coefficient, and the expression is: In the formula, gl new is the adjusted operating power, gl old is the operating power before adjustment, sd x is the humidity variation coefficient, if This indicates that the humidity inside the withering room is on the rise. The dehumidifier is controlled by adjusting the operating power. This indicates that the humidity inside the withering room is on a downward trend, and the humidifier operation is controlled by the adjusted operating power.

[0017] In a preferred embodiment, the management module performs weighted calculation of the temperature variation coefficient and the humidity variation coefficient to obtain the abnormality index, and the expression is: YCZ = ω1*wd x +ω2*sd x , where YCZ is the abnormal index, wd x is the temperature variation coefficient, sd x is the humidity variation coefficient, ω1 and ω2 are the weights of the temperature variation coefficient and the humidity variation coefficient, respectively, and ω1+ω2=1;

[0018] The management module compares the acquired abnormality index with the preset index threshold. The index threshold is used to determine whether there is an abnormal condition inside the withering room. If the index threshold is less than or equal to the index threshold, it is determined that there is no abnormal condition inside the withering room and no management strategy is generated. If the index threshold is greater than the index threshold, it is determined that there is an abnormal condition inside the withering room and a management strategy is generated that requires maintenance of the withering room.

[0019] In a preferred embodiment, the management module obtains the real-time temperature and real-time humidity inside the withering room. If the real-time temperature is not within the temperature stability range or the real-time humidity is not within the humidity stability range for a longer period of time, the quality of the white tea will become worse. Therefore, when the real-time temperature is not within the temperature stability range or the real-time humidity is not within the humidity stability range for a period of time greater than or equal to a time threshold, the internal abnormality of the withering room is analyzed and a management strategy that needs to be managed is generated.

[0020] In a preferred embodiment, the calculation logic of the temperature change rate is: obtain the real-time temperature of the withering room at time point T2, obtain the real-time temperature of the withering room at time point T1, and obtain the temperature stability range wd of the withering room. min ~wd max , where wd min is the minimum temperature, wd max is the maximum temperature, and the first temperature threshold Z1 is set to be wd min (1+20%), set the second temperature threshold Z2=wd max (1-20%), calculate the temperature deviation value of the withering room T2 and T1 time points, the expression is:

[0021] The temperature change rate is calculated based on the temperature deviation value at time points T2 and T1. The expression is: Where wd change is the temperature change rate, is the temperature deviation value at time T2, It is the temperature deviation value at time point T1. The greater the temperature change rate, the faster the temperature rises or falls in the withering room over a period of time.

[0022] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0023] 1. The present invention uses a temperature change prediction module to comprehensively analyze the temperature change rate and the temperature change impact data to predict the temperature change trend inside the withering room. The humidity change prediction module uses a humidity change rate and the humidity change impact data to predict the humidity change trend inside the withering room. The control module generates an adjustment strategy for the operating power of the heater or cooler based on the temperature change trend prediction result, and generates an adjustment strategy for the operating power of the humidifier or dehumidifier based on the humidity change trend prediction result. After predicting the change trend of the temperature and humidity inside the withering room, the control system adjusts the temperature and humidity inside the withering room in advance, and dynamically adjusts the operating power of the equipment according to the change rate of the change trend, thereby ensuring the stability of the temperature and humidity inside the withering room and the quality of the white tea after withering.

[0024] 2. The present invention analyzes the abnormal conditions inside the withering room through the management module in combination with the temperature change trend prediction results and the humidity change trend prediction results, and generates corresponding management strategies based on the abnormal condition analysis results, thereby facilitating management personnel to understand the abnormal conditions inside the withering room and improving the management efficiency of the withering room. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0026] Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Example 1: Please refer to Figure 1 As shown, the temperature and humidity control system for withering white tea described in this embodiment includes a temperature change prediction module, a humidity change prediction module, a control module, and a management module;

[0029] Temperature change prediction module: obtains the temperature change rate of the withering room within a period of time, and obtains the temperature change impact data. After comprehensive analysis of the temperature change rate and the temperature change impact data, the temperature change trend inside the withering room is predicted, and the temperature change trend prediction results are sent to the control module and the management module;

[0030] Humidity change prediction module: obtains the humidity change rate of the withering room within a period of time, and obtains the humidity change impact data. After comprehensive analysis of the humidity change rate and the humidity change impact data, the humidity change trend inside the withering room is predicted, and the humidity change trend prediction results are sent to the control module and the management module;

[0031] Control module: Generates a regulation strategy for the operating power of the heater or cooler based on the temperature change trend prediction result, and generates a regulation strategy for the operating power of the humidifier or dehumidifier based on the humidity change trend prediction result;

[0032] Management module: Combine the temperature change trend prediction results and the humidity change trend prediction results to analyze the abnormal conditions inside the withering room, and generate corresponding management strategies based on the abnormal condition analysis results.

[0033] The present application predicts the temperature change trend inside the withering room after comprehensively analyzing the temperature change rate and the temperature change impact data through the temperature change prediction module. The humidity change prediction module predicts the humidity change trend inside the withering room after comprehensively analyzing the humidity change rate and the humidity change impact data. The control module generates an adjustment strategy for the operating power of the heater or cooler based on the temperature change trend prediction result, and generates an adjustment strategy for the operating power of the humidifier or dehumidifier based on the humidity change trend prediction result. After predicting the change trend of the temperature and humidity inside the withering room, the control system adjusts the temperature and humidity inside the withering room in advance, and dynamically adjusts the operating power of the equipment according to the speed of change of the change trend, so as to ensure the stability of the temperature and humidity inside the withering room and the quality of the white tea after withering.

[0034] This application uses a management module to combine the temperature change trend prediction results and the humidity change trend prediction results to analyze the abnormal conditions inside the withering room, and generates corresponding management strategies based on the abnormal condition analysis results, so as to facilitate management personnel to understand the abnormal conditions inside the withering room and help improve the management efficiency of the withering room.

[0035] Existing problems: Traditional temperature and humidity control methods in withering rooms often rely on simple threshold control or manual adjustment, and lack the prediction of future temperature and humidity change trends, which may lead to delayed or over-adjustment, thus affecting the quality of tea.

[0036] Improvement of the scheme of the present application: Through real-time acquisition and prediction of the temperature and humidity change rates, the present scheme can predict the future temperature and humidity change trends in advance, and then carry out more precise control, avoid excessive or insufficient adjustment, and ensure the stability of the withering environment.

[0037] Existing problem: In traditional systems, when the external environment or equipment status undergoes complex changes, the system cannot respond flexibly, which may cause unstable temperature and humidity and affect the withering effect of tea.

[0038] Improvements to the solution of this application: By analyzing the impact data of temperature and humidity changes (such as external climate changes, equipment operating status, etc.), this solution can comprehensively consider the impact of multiple factors on temperature and humidity, provide a more intelligent response strategy, and improve the system's adaptability to complex environmental changes.

[0039] Existing problem: Traditional systems have difficulty identifying and responding to abnormal conditions during the withering process, such as equipment failure or sudden environmental changes, and usually can only rely on manual inspection and processing.

[0040] Improvements on the solution of this application: The management module of this solution can analyze abnormal conditions in the withering room in real time by combining the prediction results of temperature and humidity change trends, and generate corresponding management strategies, provide intelligent exception handling capabilities, reduce the need for human intervention, and improve management efficiency.

[0041] Existing problems: Traditional temperature and humidity control systems often lack consideration of the rate of change of temperature and humidity, and only rely on current measurement data for adjustment, which can easily lead to delayed control response and inability to respond to rapid changes in the environment in a timely manner.

[0042] Improvement of the solution of this application: Through real-time monitoring and analysis of the temperature and humidity change rates, this solution can predict and respond to the changing trend at the early stage, avoid environmental fluctuations caused by lags, and achieve more timely and proactive regulation.

[0043] Existing problems: In traditional systems, temperature and humidity control may be carried out independently. The lack of a unified and coordinated control strategy may cause adjustments on one side to affect the other, resulting in poor control effects.

[0044] Improvement of the scheme of this application: By comprehensively analyzing the temperature change trend and the humidity change trend, this scheme realizes the coordinated control of temperature and humidity, ensures the balance between the two, and thus improves the overall control effect.

[0045] The technical solution of this application overcomes the defects of the prior art such as inaccurate temperature and humidity control, untimely response of the system to complex environmental changes, lack of intelligent management and unified control strategy, etc. by introducing the acquisition of temperature and humidity change rate, analysis of influencing data, trend prediction and comprehensive management. Through these improvements, the temperature and humidity control system of the tea withering room can maintain a suitable withering environment more efficiently and accurately, and improve the production quality of tea and the intelligent level of process management.

[0046] The specific working process of the control system is as follows:

[0047] The control system obtains the temperature change rate of the withering room within a period of time, and obtains the temperature change impact data, and after comprehensive analysis of the temperature change rate and the temperature change impact data, predicts the temperature change trend inside the withering room, and generates an adjustment strategy for the operating power of the heater or cooler based on the temperature change trend prediction result; obtains the humidity change rate of the withering room within a period of time, and obtains the humidity change impact data, and after comprehensive analysis of the humidity change rate and the humidity change impact data, predicts the humidity change trend inside the withering room, and generates an adjustment strategy for the operating power of the humidifier or dehumidifier based on the humidity change trend prediction result, analyzes the abnormal conditions inside the withering room in combination with the temperature change trend prediction results and the humidity change trend prediction results, and generates corresponding management strategies based on the abnormal condition analysis results.

[0048] Embodiment 2: The temperature change prediction module obtains the temperature change rate of the withering room within a period of time, and obtains the temperature change impact data, and after comprehensive analysis of the temperature change rate and the temperature change impact data, predicts the temperature change trend inside the withering room;

[0049] The calculation logic of the temperature change rate is: obtain the real-time temperature of the withering room at time point T2, obtain the real-time temperature of the withering room at time point T1, and obtain the temperature stability range wd of the withering room min ~wd max , where wd min is the minimum temperature, wd max is the maximum temperature, and the first temperature threshold Z1 is set to be wd min (1+20%), set the second temperature threshold Z2=wd max (1-20%), calculate the temperature deviation value of the withering room T2 and T1 time points, the expression is:

[0050] The temperature change rate is calculated based on the temperature deviation value at time points T2 and T1. The expression is: Where wd change is the temperature change rate, is the temperature deviation value at time T2, It is the temperature deviation value at time point T1. The greater the temperature change rate, the faster the temperature rises or falls in the withering room over a period of time.

[0051] The temperature change prediction module obtains the temperature change impact data, which includes the heat released by tea leaves and the ventilation volume. The greater the heat released by tea leaves, the faster the temperature inside the withering room will rise. The greater the ventilation volume, the faster the temperature inside the withering room will drop. A thermal imager is used to monitor the temperature changes on the surface of tea leaves. The heat released by tea leaves will cause the local temperature to rise. The thermal imager can capture these temperature changes in real time. Wind speed sensors are installed at the vents or in the withering room to measure the speed of air flow in real time. The ventilation volume can be calculated based on the wind speed and the vent area.

[0052] During the withering process, tea leaves release heat due to biological metabolism. Especially in the early stage of withering, due to the high enzyme activity in the tea leaves, this biological metabolism is more significant, resulting in more heat release.

[0053] Local temperature rise: The heat released by tea leaves will cause the local air temperature around the tea leaves to rise. This heat accumulation will be more obvious especially in the case of insufficient ventilation.

[0054] Overall temperature rise: If the amount of tea is large, the heat released will also increase accordingly, causing the temperature inside the withering room to gradually rise. As the withering process progresses, the heat released may cause the temperature to exceed the optimal range, and the temperature needs to be adjusted in time.

[0055] The ventilation system can effectively regulate the temperature inside the withering room by introducing outside air and exhausting the internal air.

[0056] Cooling effect: A larger ventilation volume can remove the heat released by the tea leaves more quickly, thus preventing the temperature inside the withering room from getting too high. Especially when the outside air temperature is low, increasing the ventilation volume will significantly reduce the temperature inside the withering room.

[0057] Even distribution of heat: Greater ventilation also helps to keep the internal temperature even, preventing certain areas from being too hot or too cold.

[0058] Insulation effect: When the external ambient temperature is low or needs to be maintained at a certain temperature, reducing ventilation can reduce heat loss and thus maintain the temperature inside the withering room.

[0059] Heat build-up: If ventilation is too low, heat released by the tea leaves may build up in the withering room, causing the temperature to gradually rise, especially if no other cooling measures are taken.

[0060] The temperature change rate, heat released by tea leaves and ventilation volume are comprehensively analyzed to calculate the temperature change coefficient, which is expressed as: Where wd x is the temperature variation coefficient, wd change is the temperature change rate, csf is the heat released by tea leaves, tfl is the ventilation rate, α and β are the heat released by tea leaves and the ventilation rate, respectively. is the temperature deviation value at time point T2, and both α and β are greater than 0.

[0061] The humidity change prediction module obtains the humidity change rate of the withering room within a period of time, and obtains the humidity change impact data, and after comprehensive analysis of the humidity change rate and the humidity change impact data, predicts the humidity change trend inside the withering room;

[0062] The calculation logic of humidity change rate is: obtain the real-time humidity of the withering room at time point T2, obtain the real-time humidity of the withering room at time point T1, and obtain the humidity stability range sd of the withering room min ~sd max , where sd min is the minimum humidity, sd max The maximum humidity is set to the first humidity threshold S1 = sd min (1+20%), set the second humidity threshold S2=sd max (1-20%), calculate the humidity deviation value of the withering room at time points T2 and T1, the expression is:

[0063] The humidity change rate is calculated based on the humidity deviation value at time points T2 and T1. The expression is: In the formula, sd change is the humidity change rate, is the humidity deviation value at time point T2, It is the humidity deviation value at time point T1. The greater the humidity change rate, the faster the humidity in the withering room rises or falls over a period of time.

[0064] The humidity change prediction module obtains humidity change impact data, which includes tea moisture evaporation and ventilation volume. The greater the tea moisture evaporation, the faster the humidity inside the withering room will rise, and the greater the ventilation volume, the faster the humidity inside the withering room will drop. A high-precision electronic scale or load sensor is used to measure the weight change of the tea in real time. As the moisture evaporates, the weight of the tea will gradually decrease. By recording the weight change, the moisture evaporation can be directly calculated. A wind speed sensor is installed in the vent or withering room to measure the air flow speed in real time. The ventilation volume can be calculated based on the wind speed and vent area;

[0065] During the withering process of tea leaves, water evaporates from the tea leaves and turns into water vapor which is dispersed in the air. This directly increases the humidity inside the withering room.

[0066] Humidity rise: As the moisture of tea leaves evaporates, the water vapor content in the air increases, causing the humidity in the withering room to rise. This effect of humidity rise will be more obvious when a large amount of tea leaves are withered at the same time.

[0067] High local humidity: If the room is poorly ventilated or the air flow is uneven, the evaporation of water in the concentrated area of ​​tea leaves will cause the local humidity to be too high, which may affect the uniform withering of the tea leaves.

[0068] One of the main functions of the ventilation system is to regulate the humidity in the air. By introducing dry air from outside and exhausting the internal moisture, the ventilation system can effectively control the humidity level in the withering room.

[0069] Humidity reduction: Increasing ventilation helps to quickly expel moisture from the withering room and reduce the humidity in the room. Especially when the outside air is relatively dry, ventilation can significantly reduce the humidity inside and prevent excessive humidity from affecting the quality of tea withering.

[0070] Humidity balance: A larger ventilation volume can make the humidity distribution in the room more even, avoiding the occurrence of local excessive humidity, which is conducive to the uniform withering of tea leaves.

[0071] Rising humidity: If ventilation is reduced, it is difficult for moisture in the air to escape and humidity will gradually rise. As the moisture in the tea leaves continues to evaporate, humidity may reach a high level, which in turn affects the withering speed and quality of the tea leaves.

[0072] Humidity maintenance: During some withering stages, moderate humidity has a positive effect on the quality of the tea, and reducing ventilation can help maintain an appropriate humidity level.

[0073] The humidity change prediction module comprehensively analyzes the humidity change rate, tea water evaporation and ventilation volume, and calculates the humidity change coefficient. The expression is:

[0074] In the formula, sd x is the humidity variation coefficient, sd change is the humidity change rate, czl is the heat released by tea leaves, tfl is the ventilation rate, γ and δ are the evaporation rate of tea leaves and the ventilation rate, respectively. is the humidity deviation value at time point T2, and both γ and δ are greater than 0.

[0075] The control module generates a control strategy for the operating power of the heater or cooler according to the temperature change trend prediction result, and generates a control strategy for the operating power of the humidifier or dehumidifier according to the humidity change trend prediction result;

[0076] Among them, the larger the temperature variation coefficient is, the faster the temperature change speed inside the withering room is predicted to be. The control module adjusts the operating power of the heater or cooler according to the temperature variation coefficient. The expression is: In the formula, gl new is the adjusted operating power, gl old is the operating power before adjustment, wd x is the temperature variation coefficient, if This indicates that the temperature inside the withering room is on the rise. The operation of the cooler is controlled by adjusting the operating power. This indicates that the temperature inside the withering room is on a downward trend, and the heater operation is controlled by the adjusted operating power.

[0077] The larger the humidity variation coefficient is, the faster the humidity inside the withering room is predicted to change. The control module adjusts the operating power of the heater or cooler according to the humidity variation coefficient. The expression is: In the formula, gl new is the adjusted operating power, gl old is the operating power before adjustment, sd x is the humidity variation coefficient, if This indicates that the humidity inside the withering room is on the rise. The dehumidifier is controlled by adjusting the operating power. This indicates that the humidity inside the withering room is on a downward trend, and the humidifier operation is controlled by the adjusted operating power.

[0078] The management module analyzes the abnormal conditions inside the withering room by combining the temperature change trend prediction results and the humidity change trend prediction results, and generates corresponding management strategies based on the abnormal condition analysis results;

[0079] Specifically, when the real-time temperature inside the withering room is not within the temperature stability range or the real-time humidity is not within the humidity stability range, it indicates that the temperature and humidity in the withering room have affected the quality of the white tea. The management module obtains the real-time temperature and real-time humidity inside the withering room. If the real-time temperature is not within the temperature stability range or the real-time humidity is not within the humidity stability range, the longer the duration is, the worse the quality of the white tea will be. Therefore, when the real-time temperature is not within the temperature stability range or the real-time humidity is not within the humidity stability range, the duration is greater than or equal to the duration threshold, the abnormality inside the withering room is analyzed, and a management strategy that needs to be managed is generated;

[0080] The management module calculates the temperature change coefficient and the humidity change coefficient by weight to obtain the abnormality index, and the expression is: YCZ = ω1*wd x +ω2*sd x , where YCZ is the abnormal index, wd x is the temperature variation coefficient, sd x is the humidity variation coefficient, ω1 and ω2 are the weights of the temperature variation coefficient and the humidity variation coefficient respectively, and ω1+ω2=1.

[0081] The larger the abnormality index is, the more serious the overall abnormal condition inside the withering room is. The management module will compare the acquired abnormality index with the preset index threshold. The index threshold is used to determine whether there is an abnormal condition inside the withering room. If the index threshold is less than or equal to the index threshold, it is determined that there is no abnormal condition inside the withering room, and no management strategy is generated. If the index threshold is greater than the index threshold, it is determined that there is an abnormal condition inside the withering room, and a management strategy is generated that requires maintenance of the withering room.

[0082] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0083] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0084] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A temperature and humidity control system for withering white tea, characterized in that: It includes a temperature change prediction module, a humidity change prediction module, a control module, and a management module; Temperature change prediction module: obtain the temperature change rate of the withering room within a period of time, and obtain the temperature change impact data, and after comprehensive analysis of the temperature change rate and the temperature change impact data, predict the temperature change trend inside the withering room; Humidity change prediction module: obtain the humidity change rate of the withering room within a period of time, and obtain the humidity change impact data, and after comprehensive analysis of the humidity change rate and humidity change impact data, predict the humidity change trend inside the withering room; Control module: Generates a regulation strategy for the operating power of the heater or cooler based on the temperature change trend prediction result, and generates a regulation strategy for the operating power of the humidifier or dehumidifier based on the humidity change trend prediction result; Management module: Combine the temperature change trend prediction results and the humidity change trend prediction results to analyze the abnormal conditions inside the withering room, and generate corresponding management strategies based on the abnormal condition analysis results.

2. The temperature and humidity control system for withering white tea according to claim 1, characterized in that: The temperature change prediction module obtains temperature change impact data, which includes heat released by tea leaves and ventilation volume; The temperature change rate, heat released by tea leaves and ventilation volume are comprehensively analyzed to calculate the temperature change coefficient, which is expressed as: Where wd x is the temperature variation coefficient, wd change is the temperature change rate, csf is the heat released by tea leaves, tfl is the ventilation rate, α and β are the heat released by tea leaves and the ventilation rate, respectively. is the temperature deviation value at time point T2, and both α and β are greater than 0.

3. The temperature and humidity control system for withering white tea according to claim 1, characterized in that: The humidity change prediction module obtains humidity change impact data, which includes tea water evaporation and ventilation volume; The humidity change rate, tea water evaporation and ventilation volume are comprehensively analyzed to calculate the humidity change coefficient, which is expressed as: In the formula, sd x is the humidity variation coefficient, sd change is the humidity change rate, czl is the heat released by tea leaves, tfl is the ventilation rate, γ and δ are the evaporation rate of tea leaves and the ventilation rate, respectively. is the humidity deviation value at time point T2, and both γ and δ are greater than 0.

4. The temperature and humidity control system for withering white tea according to claim 2, characterized in that: The control module adjusts the operating power of the heater or cooler according to the temperature variation coefficient, and the expression is: In the formula, gl new is the adjusted operating power, gl old is the operating power before adjustment, wd x is the temperature variation coefficient, if This indicates that the temperature inside the withering room is on the rise. The operation of the cooler is controlled by adjusting the operating power. This indicates that the temperature inside the withering room is on a downward trend, and the heater operation is controlled by the adjusted operating power.

5. The temperature and humidity control system for withering white tea according to claim 3, characterized in that: The control module adjusts the operating power of the heater or cooler according to the humidity change coefficient, and the expression is: In the formula, gl new is the adjusted operating power, gl old is the operating power before adjustment, sd x is the humidity variation coefficient, if This indicates that the humidity inside the withering room is on the rise. The dehumidifier is controlled by adjusting the operating power. This indicates that the humidity inside the withering room is on a downward trend, and the humidifier operation is controlled by the adjusted operating power.

6. The temperature and humidity control system for withering white tea according to claim 5, characterized in that: The management module calculates the temperature change coefficient and the humidity change coefficient by weighted calculation to obtain the abnormality index, and the expression is: YCZ = ω1*wd x +ω2*sd x , where YCZ is the abnormal index, wd x is the temperature variation coefficient, sd x is the humidity variation coefficient, ω1 and ω2 are the weights of the temperature variation coefficient and the humidity variation coefficient, respectively, and ω1+ω2=1; The management module compares the acquired abnormality index with the preset index threshold. The index threshold is used to determine whether there is an abnormal condition inside the withering room. If the index threshold is less than or equal to the index threshold, it is determined that there is no abnormal condition inside the withering room and no management strategy is generated. If the index threshold is greater than the index threshold, it is determined that there is an abnormal condition inside the withering room and a management strategy is generated that requires maintenance of the withering room.

7. The temperature and humidity control system for withering white tea according to claim 1, characterized in that: The management module obtains the real-time temperature and real-time humidity inside the withering room. If the real-time temperature is not within the temperature stability range or the real-time humidity is not within the humidity stability range for a longer period of time, the quality of the white tea will become worse. Therefore, when the real-time temperature is not within the temperature stability range or the real-time humidity is not within the humidity stability range for a period of time greater than or equal to a time threshold, the internal abnormality of the withering room is analyzed and a management strategy that needs to be managed is generated.

8. The temperature and humidity control system for withering white tea according to claim 2, characterized in that: The calculation logic of the temperature change rate is: obtain the real-time temperature of the withering room at time point T2, obtain the real-time temperature of the withering room at time point T1, and obtain the temperature stability range wd of the withering room min ~wd max , where wd min is the minimum temperature, wd max is the maximum temperature, and the first temperature threshold Z1 is set to be wd min (1+20%), set the second temperature threshold Z2=wd max (1-20%), calculate the temperature deviation value of the withering room T2 and T1 time points, the expression is: The temperature change rate is calculated based on the temperature deviation value at time points T2 and T1. The expression is: Where wd change is the temperature change rate, is the temperature deviation value at time T2, It is the temperature deviation value at time point T1. The greater the temperature change rate, the faster the temperature rises or falls in the withering room over a period of time.

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