A temperature intelligent control system and method for rice wine production equipment

Abstract

The present application provides a temperature intelligent control system and method for rice wine production equipment, which extracts the temperature fluctuation range when steam appears in the container from all monitored temperatures; determines the temperature gradient characteristics in the container based on the temperature fluctuation range and the temperature difference between each monitoring area, and then determines the heat loss of the steam in the container during the temperature conduction process; performs a first-stage heating of the container based on the heat loss, and determines the temperature mutation state in the container during the first-stage heating, and determines the elasticity value of the temperature change based on the temperature mutation state and the pressure fluctuation characteristics in the container; determines the temperature drift amount based on the heat loss and the elasticity value of the temperature change, and adjusts the temperature of the container during the second-stage heating based on the temperature drift amount. By adopting the solution of the present application, the temperature in the container can be intelligently controlled, reducing the impact of the temperature mutation on the temperature conduction in the container during the heating process, thereby improving the wine quality of the rice dregs in the container.

Description

Technical Field

[0001] The present application relates to the field of temperature intelligent control technology, and more specifically, to a temperature intelligent control system and method for rice wine production equipment. Background Art

[0002] Temperature control refers to the process of precisely regulating and optimizing temperature using intelligent control technology. Intelligent temperature control is widely used in various fields, including industrial process control, HVAC systems, laboratory equipment, and household appliances. Intelligent control can improve energy efficiency, ensure product quality, enhance comfort, and reduce human error.

[0003] Intelligent temperature control for rice wine production equipment involves real-time monitoring, precise control, and intelligent adjustment of the fermentation temperature during the rice wine production process through advanced sensing technology, automated control systems, and data analysis. This ensures the stability of the fermentation process and the consistency of rice wine quality. In existing intelligent temperature control systems, collected outlet temperature data is fed to a temperature controller for logical processing. Based on measurements of outlet temperature, outlet flow rate, or other outlet characteristics, the condensate flow and steam flow rates are adjusted in real time to control the saturated steam flow rate and outlet temperature to ensure base wine yield and quality. However, temperature control is a critical factor during distillation. Traditional control methods cannot precisely control temperature fluctuations, making it prone to uneven and sudden temperature changes during heating. This can cause some substances in the rice lees to volatilize, affecting small molecules in the wine. Therefore, how to achieve intelligent temperature control within the container to reduce the impact of sudden temperature changes during heating on temperature conduction within the container, thereby improving the quality of the wine produced from the rice lees, has become a challenge facing the industry. Summary of the Invention

[0004] The present application provides a temperature intelligent control system and method for rice wine production equipment, which can realize intelligent control of the temperature in the container, reduce the impact of sudden temperature changes in the container during the heating process on the temperature conduction in the container, and thus improve the wine quality of the rice dregs in the container.

[0005] In a first aspect, the present application provides a method for intelligent temperature control of rice wine production equipment, comprising the following steps:

[0006] Preheat the container of rice dregs in rice wine production equipment and monitor the temperature of each monitoring area in the container;

[0007] Extract the temperature fluctuation range when steam appears in the container from all monitored temperatures;

[0008] Gradual control is performed on the temperature of the container when foaming occurs based on the temperature fluctuation range and the temperature difference between each monitoring area to obtain a temperature gradient characteristic in the container, and heat loss during temperature conduction by steam in the container is determined based on the temperature gradient characteristic and the distance between each monitoring area;

[0009] The container is heated in a first stage based on the heat loss, and a temperature mutation state in the container during the first stage of heating is determined. Based on the temperature mutation state and pressure fluctuation characteristics in the container, elastic compensation is performed on the temperature when the foam in the container decreases in the first stage, thereby obtaining an elastic value of the temperature change in the container in the first stage.

[0010] A temperature drift amount when compensating the temperature in the second stage is determined by the heat loss and the elastic value of the temperature change, and the temperature of the container during the second stage heating is adjusted based on the temperature drift amount.

[0011] In some embodiments, extracting the temperature fluctuation range when steam appears in the container from all monitored temperatures specifically includes:

[0012] determining a plurality of regional temperature sets when steam appears in the container based on all monitored temperatures;

[0013] Determine the temperature difference range of each regional temperature set;

[0014] The temperature fluctuation range when steam appears in the container is determined based on all temperature difference ranges.

[0015] In some embodiments, the temperature of the container when foam appears is gradient-controlled based on the temperature fluctuation range and the temperature difference between each monitoring area, and the temperature gradient characteristics of the container are obtained, specifically including:

[0016] Determine the temperature difference between the temperatures in each monitoring area;

[0017] determining, based on the temperature fluctuation range and all temperature differences, a plurality of gradient values for temperature compensation when foam appears in the container;

[0018] The temperature at which foam appears in the container is controlled by all gradient values to obtain multiple temperature control values;

[0019] The temperature gradient characteristic in the container is determined based on all temperature control values.

[0020] In some embodiments, determining the heat loss during temperature conduction of steam in the container by using the temperature gradient characteristics and the distances between the monitoring areas specifically includes:

[0021] Determine the distance between each monitoring area;

[0022] determining a plurality of temperature equilibrium values in the container based on all the distances and the temperature gradient characteristics;

[0023] Determine the heat loss from the steam to the temperature in the container through all temperature equilibrium values.

[0024] In some embodiments, performing a first-stage heating on the container based on the heat loss and determining a sudden temperature change state in the container during the first-stage heating specifically includes:

[0025] performing a first stage heating of the container based on the heat loss;

[0026] Monitor the temperature of each monitoring area in the container during the first stage heating process to obtain a stage temperature set;

[0027] Determining the temperature mutation coefficient of each monitoring area according to the stage temperature set;

[0028] The temperature jump state in the container during the first stage of heating is determined by all the temperature jump coefficients.

[0029] In some embodiments, elastic compensation is performed on the temperature of the container when the foam decreases in the first stage according to the temperature mutation state and the pressure fluctuation characteristics in the container, and obtaining the elastic value of the temperature change in the container in the first stage specifically includes:

[0030] Determine the characteristics of pressure fluctuations in a vessel;

[0031] determining a pressure compensation value when the foam in the container decreases in the first stage according to the pressure fluctuation characteristics;

[0032] The elasticity value of the temperature change in the first-stage container is determined by the temperature sudden change state and the pressure compensation value.

[0033] In some embodiments, determining the temperature drift amount when compensating the temperature in the second stage by using the heat loss and the elastic value of the temperature change specifically includes:

[0034] Get the heating time of the first stage;

[0035] determining a constant temperature in the first stage according to the heating time and the elastic value of the temperature change;

[0036] The amount of temperature drift when compensating for the temperature in the second stage is determined by the heat loss and the constant temperature.

[0037] In a second aspect, the present application provides a temperature intelligent control system for rice wine production equipment, comprising:

[0038] A monitoring module is used to monitor the temperature of each monitoring area in the container after preheating the container of rice dregs in the rice wine production equipment;

[0039] A processing module, used for extracting the temperature fluctuation range when steam appears in the container from all monitored temperatures;

[0040] The processing module is further configured to perform gradient control on the temperature of the container when foam appears based on the temperature fluctuation range and the temperature difference between each monitoring area, thereby obtaining a temperature gradient characteristic in the container, and determining heat loss during temperature conduction by steam in the container based on the temperature gradient characteristic and the distance between each monitoring area;

[0041] The processing module is further configured to perform a first-stage heating of the container based on the heat loss, determine a temperature mutation state in the container during the first-stage heating, and elastically compensate for the temperature of the container when the foam decreases in the first stage according to the temperature mutation state and pressure fluctuation characteristics in the container, thereby obtaining an elastic value of the temperature change in the container during the first stage;

[0042] An execution module is configured to determine a temperature drift when compensating for the temperature in the second stage according to the heat loss and the elastic value of the temperature change, and adjust the temperature of the container during the second stage of heating based on the temperature drift.

[0043] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned temperature intelligent control method for the rice wine production equipment.

[0044] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned temperature intelligent control method of the rice wine production equipment.

[0045] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0046] In the temperature intelligent control system and method for rice wine production equipment provided in the present application, the container of rice dregs in the rice wine production equipment is first preheated, and the temperature of each monitoring area in the container is monitored; the temperature fluctuation range when steam appears in the container is extracted from all the monitored temperatures; the temperature when foam appears in the container is gradient-controlled according to the temperature fluctuation range and the temperature difference between each monitoring area, to obtain the temperature gradient characteristics in the container, and the heat loss of steam in the container during temperature conduction is determined by the temperature gradient characteristics and the distance between each monitoring area; the container is heated in the first stage based on the heat loss, and the temperature mutation state in the container during the first stage of heating is determined, and the temperature when the foam in the container becomes smaller in the first stage is elastically compensated according to the temperature mutation state and the pressure fluctuation characteristics in the container, to obtain the elastic value of the temperature change in the container in the first stage; the temperature drift amount when compensating for the temperature in the second stage is determined by the heat loss and the elastic value of the temperature change, and the temperature of the container during the second stage of heating is adjusted based on the temperature drift amount.

[0047] It can be seen that in the temperature intelligent control process of the rice wine production equipment of the present application, first, the temperature of each monitoring area in the container is monitored, and the temperature fluctuation range when steam appears in the container is extracted from all the temperatures obtained by monitoring. The temperature fluctuation range represents the range of the temperature fluctuation degree when steam appears in the container, which can be used to regulate the temperature in the container, and can reduce the impact of temperature fluctuations in the container on the evaporation of alcohol in the rice dregs; according to the temperature fluctuation range and the temperature difference between each monitoring area, the temperature when foam appears in the container is gradient-regulated to obtain the temperature gradient characteristics in the container. The temperature gradient characteristics represent the gradient characteristics of the temperatures of each adjacent monitoring area after the temperature in the container is regulated, which can be used to heat the rice dregs in the container and reduce the impact of uneven temperature distribution in the container on the volatilization of the rice dregs in the container; thereby, the temperature gradient characteristics are analyzed in combination with the distance between each monitoring area to determine the heat loss of steam in the container during temperature conduction. The heat loss is a parameter reflecting the degree of loss of steam in the container during temperature conduction, which can be used to regulate the temperature in the container, and reduce the uneven temperature conduction caused by steam in the container during the volatilization of alcohol in the container. The method further comprises determining a temperature mutation state in the container during the first heating stage, wherein the temperature mutation state indicates the degree of temperature mutation in each monitoring area of the container during the first heating stage, and can be used to judge the heating condition of the first stage and facilitate regulation of the heating condition of the container. The method further comprises: elastically compensating the temperature of the container when the foam decreases in the first stage according to the temperature mutation state and the pressure fluctuation characteristics in the container, thereby obtaining an elasticity value of the temperature change in the container during the first stage. The elasticity value of the temperature change indicates that the container can restore the rice slag to the highest temperature in the first stage when the alcohol volatilizes after the first heating stage, and can be used to regulate the temperature in the container to facilitate sufficient volatilization of the rice slag, thereby improving the production efficiency of the rice slag. Finally, the method further comprises determining a temperature drift amount when compensating for the temperature in the second stage according to the heat loss and the temperature change elasticity value. The temperature drift amount indicates a parameter value of the degree of temperature drift when compensating for the temperature during the heating process, and can be used to compensate for the temperature in the container and reduce the impact of uneven temperature distribution on the heating process of the container. The method further comprises adjusting the temperature of the container during the second heating stage based on the temperature drift amount. The above solution can realize intelligent control of the temperature in the container, reduce the impact of sudden temperature changes in the container during heating on temperature conduction in the container, and thus improve the wine quality of the rice dregs in the container. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 is an exemplary flow chart of a temperature intelligent control method for rice wine production equipment according to some embodiments of the present application;

[0049] Figure 2This is a flow chart of rice wine distillation according to some embodiments of the present application;

[0050] Figure 3 is an exemplary flow chart for determining temperature gradient characteristics according to some embodiments of the present application;

[0051] Figure 4 This is a schematic diagram of the structure of the temperature intelligent control system of the rice wine production equipment shown in some embodiments of the present application;

[0052] Figure 5 It is a structural diagram of a computer device for implementing a temperature intelligent control method for rice wine production equipment according to some embodiments of the present application. DETAILED DESCRIPTION

[0053] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0054] refer to Figure 1 , which is an exemplary flow chart of a method for intelligent temperature control of rice wine production equipment according to some embodiments of the present application. The method 100 for intelligent temperature control of rice wine production equipment mainly includes the following steps:

[0055] In step 101, a container for rice dregs in a rice wine production device is preheated, and the temperature of each monitoring area in the container is monitored.

[0056] In a specific implementation, after preheating the container of rice dregs in the rice wine production equipment, the temperature of each monitoring area in the container during preheating is monitored by a temperature sensor. It should be noted that the present application arranges each sensor node connected to the temperature sensor in the container. When arranging each sensor node, the sensor node is set according to the area where the temperature fluctuation of the container is larger during the distillation process, and the area corresponding to each sensor node is used as the monitoring area.

[0057] It should be noted that the rice wine production equipment in the present application is a high-proof rice wine production equipment. Therefore, there is a distillation process in the rice wine production process. In the process of distilling the rice dregs in the container, the distillation process has three stages, and the temperature required for each stage is different. In the preheating stage, the container is preheated. When the distillation temperature is between 45-60°C, the resulting wine is called wine head. In the first stage, when the distillation temperature rises to between 60°C and 80°C, the resulting wine is a positive flow wine, which is also the most ideal commercial wine. In the second stage, when the distillation temperature reaches about 80-90°C, the resulting wine is called wine tail. In other embodiments, other monitoring methods can also be used, which are not limited here.

[0058] In some embodiments, reference Figure 2 As shown in FIG, this figure is a flow chart of rice wine distillation in some embodiments of the present application, such as Figure 2 As described above, after the rice dregs are produced in the early stage, the rice dregs are added to the container for loading rice wine in the rice wine production equipment, and the rice dregs are heated and distilled, and then the container is preheated. When the container reaches the specified temperature, the production of rice wine begins. Secondly, there are two stages of heating in the rice wine production process (i.e., first stage heating and second stage heating). After completing the two stages of heating, the produced rice wine is canned and sealed to finally obtain the finished rice wine.

[0059] In step 102, the temperature fluctuation range when steam appears in the container is extracted from all monitored temperatures.

[0060] In some embodiments, extracting the temperature fluctuation range when steam appears in the container from all monitored temperatures can be achieved by using the following steps:

[0061] determining a plurality of regional temperature sets when steam appears in the container based on all monitored temperatures;

[0062] Determine the temperature difference range of each regional temperature set;

[0063] The temperature fluctuation range when steam appears in the container is determined based on all temperature difference ranges.

[0064] In a specific implementation, determining multiple regional temperature sets when steam appears in the container based on all monitored temperatures can be achieved in the following manner: after determining that the rice lees and steam have reached equilibrium using the conventional headspace sampling-gas chromatography-mass spectrometry technique, directly extracting the top gas for chromatographic analysis to test the volatility of the alcohol in the rice lees, thereby determining the time point when steam appears in the container. A monitoring region is selected as a selected monitoring region, and all temperatures in the selected monitoring region are extracted from all monitored temperatures. The acquisition time corresponding to each extracted temperature is determined. If the acquisition time is after the time point when steam appears in the container, the corresponding temperature is used as the regional temperature when steam appears in the container. If the acquisition time is before the time point when steam appears in the container, the corresponding temperature is removed, thereby obtaining multiple regional temperatures. The set of all regional temperatures is used as the regional temperature set of the selected monitoring region, and regional temperature sets of the remaining monitoring regions are further determined. The regional temperature set represents the temperature of the monitoring region when the alcohol in the rice lees begins to volatilize. In other embodiments, other methods can be used for determination, which are not limited here.

[0065] In a specific implementation, determining the temperature difference intervals for each regional temperature set can be achieved in the following manner: selecting a regional temperature set as a selected regional temperature set, arranging all regional temperatures in the selected regional temperature set in chronological order of acquisition time, using the resulting sequence as a regional temperature sequence, selecting a group of adjacent regional temperatures in the regional temperature sequence as the selected adjacent regional temperature, subtracting the first regional temperature from the second regional temperature in the selected adjacent regional temperature, and using the resulting value as a regional difference value for the selected adjacent regional temperature. Regional difference values for the remaining groups of adjacent regional temperatures in the regional temperature sequence are then determined, wherein the regional difference values represent parameter values indicating the degree of difference between adjacent temperatures, using an interval consisting of a maximum regional difference value and a minimum regional difference value as the temperature difference interval for the selected regional temperature set, and further determining temperature difference intervals for the remaining regional temperature sets. The temperature difference interval represents the degree of temperature difference in the monitored area when alcohol in the rice lees is volatilized. Determining the temperature fluctuation interval when steam appears in the container based on all temperature difference intervals can be achieved in the following manner: using the average interval of all temperature difference intervals as the temperature fluctuation interval when steam appears in the container. In other embodiments, other determination methods may also be used, which are not limited here.

[0066] It should be noted that the temperature fluctuation range in this application represents the range of temperature fluctuation when steam appears in the container, which can be used to regulate the temperature in the container and reduce the impact of temperature fluctuations in the container on the evaporation of alcohol in the rice dregs.

[0067] In step 103, the temperature when foam appears in the container is gradient-controlled according to the temperature fluctuation range and the temperature difference between each monitoring area to obtain the temperature gradient characteristics in the container. The heat loss during the temperature conduction process of the steam in the container is determined by the temperature gradient characteristics and the distance between each monitoring area.

[0068] In some embodiments, reference Figure 3 As shown in FIG. 1 , this figure is an exemplary schematic diagram of determining temperature gradient characteristics in some embodiments of the present application. In this embodiment, the temperature when foam appears in the container is gradient-controlled based on the temperature fluctuation range and the temperature difference between each monitoring area. The temperature gradient characteristics in the container can be obtained by the following steps:

[0069] First, in step 1031, the temperature difference between the temperatures in each monitoring area is determined;

[0070] Next, in step 1032, multiple gradient values for temperature compensation when foam appears in the container are determined based on the temperature fluctuation range and all temperature differences;

[0071] Then, in step 1033, the temperature at which foam appears in the container is regulated by all the gradient values to obtain a plurality of temperature control values;

[0072] Finally, in step 1034 , the temperature gradient characteristics in the container are determined based on all the temperature control values.

[0073] In specific implementation, determining the temperature difference between the temperatures in each monitoring area can be achieved in the following manner, namely: selecting any two monitoring areas as the selected two monitoring areas, taking the difference in temperature monitored in the two selected monitoring areas at the same time as the phase difference value of the temperature of the two selected monitoring areas at the same time, and then obtaining the phase difference value of the temperature of the two selected monitoring areas at different times, taking the average absolute value of all the phase difference values as the temperature difference between the two selected monitoring areas, and continuing to determine the temperature difference between the remaining monitoring areas, wherein the temperature difference represents the temperature difference between the two monitoring areas, and is used to analyze the temperature changes in the container; in other embodiments, other methods can also be used for determination, which are not limited here.

[0074] In a specific implementation, the following method can be used to determine multiple gradient values for temperature compensation when foam appears in the container based on the temperature fluctuation range and all temperature differences, namely: select a temperature difference as the selected temperature difference, perform a natural exponential operation on the selected temperature difference, multiply the inverse of the value obtained by the natural exponential operation by the difference between the upper limit value and the lower limit value in the temperature fluctuation range, use the multiplied value as the gradient value corresponding to the selected temperature difference, continue to determine the gradient values corresponding to the remaining temperature differences, and then obtain multiple gradient values for temperature compensation when foam appears in the container, wherein the gradient value represents the gradient of the temperature in the monitoring area when foam appears in the container. The parameter value during compensation, one gradient value corresponds to one monitoring area; the temperature when foam appears in the container is controlled by all the gradient values, and multiple temperature control values are obtained, which can be achieved in the following way, namely: select a monitoring area as the selected monitoring area, add the temperature corresponding to the selected monitoring area to the gradient value corresponding to the selected monitoring area, and use the added value as the temperature control value of the selected monitoring area, and continue to determine the temperature control values of the remaining monitoring areas, wherein the temperature control value represents the parameter value of the control degree of the temperature corresponding to the monitoring area when foam appears in the container, and is used to control the temperature of the monitoring area; in some embodiments, other methods can also be used for determination, which are not limited here.

[0075] In specific implementation, the temperature gradient characteristics in the container can be determined based on all temperature control values in the following manner, namely: select an adjacent monitoring area as the selected adjacent monitoring area, subtract the temperature control value corresponding to the first monitoring area in the selected adjacent monitoring area from the temperature control value corresponding to the second monitoring area, and use the value obtained by subtracting them as the temperature control difference value of the selected adjacent monitoring area, and continue to determine the temperature control difference values of the remaining groups of adjacent monitoring areas, wherein the control difference value represents the parameter value of the degree of difference in temperature after the adjacent monitoring areas are controlled, and all the control difference values are used as the temperature gradient characteristics in the container; in other embodiments, other methods can also be used for determination, which are not limited here.

[0076] It should be noted that the temperature gradient characteristics in this application represent the gradient characteristics of the temperatures of each adjacent monitoring area after the temperature in the container is regulated, which can be used to heat the rice dregs in the container and reduce the impact of uneven temperature distribution in the container on the volatilization of the rice dregs in the container.

[0077] In some embodiments, determining the heat loss during the temperature conduction process of steam in the container based on the temperature gradient characteristics and the distance between each monitoring area can be achieved by the following steps:

[0078] Determine the distance between each monitoring area;

[0079] determining a plurality of temperature equilibrium values in the container based on all the distances and the temperature gradient characteristics;

[0080] Determine the heat loss from the steam to the temperature in the container through all temperature equilibrium values.

[0081] In specific implementation, the distance between each monitoring area can be determined in the following manner, namely: the distance between the center points of each monitoring area is collected by a laser distance sensor, and the distance between the center points of each monitoring area is used as the distance between the corresponding monitoring areas; the multiple temperature balance values in the container are determined based on all distances and the temperature gradient characteristics, namely: a group of adjacent monitoring areas are selected as selected adjacent monitoring areas, and the distance corresponding to the selected adjacent monitoring areas is subjected to a logarithmic operation with a base of 10, the value obtained by the logarithmic operation is multiplied by the corresponding control difference value of the selected adjacent monitoring area in the temperature gradient characteristic, and the multiplied value is used as the temperature balance value of the selected adjacent monitoring area, and the temperature balance values of the remaining groups of adjacent monitoring areas are continued to be determined, thereby obtaining multiple temperature balance values in the container, wherein the temperature balance value represents the parameter value of the temperature in the equilibrium state between the adjacent monitoring areas in the container, which can be used to adjust the temperature between the adjacent monitoring areas; in other embodiments, other methods can also be used for determination, which are not limited here.

[0082] In specific implementation, the heat loss during temperature conduction caused by steam in the container can be determined by all temperature balance values in the following manner, namely: initialize a heat loss model, use the volume of the container as a constraint parameter of the heat loss model, use all temperature balance values as initialization parameters of the heat loss model, and output the heat loss during temperature conduction caused by steam in the container through the heat loss model. The heat loss model is a heat loss model established using a machine learning algorithm (such as a regression algorithm, a neural network, etc.). For example, the heat loss model is: heat loss = all temperature balance values * A + volume of container * B, wherein A and B are weight coefficients. A and B can be determined based on a large amount of heat loss. In other embodiments, other methods can also be used for determination, which is not limited here.

[0083] It should be noted that the heat loss in this application is a parameter that reflects the degree of loss in the temperature conduction process of steam in the container, which can be used to regulate the temperature in the container. If the heat loss is greater, it means that the temperature conduction in the container is faster, and vice versa, it means that the temperature conduction in the container is slower, which reduces the impact of uneven temperature conduction caused by steam on the heating of the rice grains during the alcohol volatilization process in the container.

[0084] In step 104, the container is heated in the first stage based on the heat loss, and the temperature mutation state in the container during the first stage of heating is determined. According to the temperature mutation state and the pressure fluctuation characteristics in the container, elastic compensation is performed on the temperature when the foam in the container decreases in the first stage, and the elastic value of the temperature change in the container in the first stage is obtained.

[0085] In some embodiments, performing a first-stage heating of the container based on the heat loss and determining a sudden temperature change state in the container during the first-stage heating can be achieved by using the following steps:

[0086] performing a first stage heating of the container based on the heat loss;

[0087] Monitor the temperature of each monitoring area in the container during the first stage heating process to obtain a stage temperature set;

[0088] Determining the temperature mutation coefficient of each monitoring area according to the stage temperature set;

[0089] The temperature jump state in the container during the first stage of heating is determined by all the temperature jump coefficients.

[0090] In specific implementation, the first stage heating of the container based on the heat loss can be achieved in the following manner, namely: temperature control information from the temperature controller of the container, wherein the temperature control information represents information for controlling the temperature in the container, that is, control information when heating the container, the temperature control information includes heating time, heating method, initial heat loss, initial temperature compensation value, etc., and the temperature control information is adjusted, that is: the initial heat loss in the temperature control information is replaced by the heat loss, the adjusted temperature control system is sent to the temperature controller of the container, and the container is heated; in other embodiments, other methods can also be used for heating, which are not limited here.

[0091] In specific implementation, the temperature of each monitoring area in the container during the first stage of heating is monitored, and the stage temperature set can be obtained in the following manner, namely: the temperature of each monitoring area in the container during the first stage of heating is collected by a temperature sensor, and each collected temperature is used as the stage temperature of the first stage, and the set of all stage temperatures is used as the stage temperature set, wherein the stage temperature in the stage temperature set represents the temperature of the monitoring area during the heating process of the first stage; the temperature mutation coefficient of each monitoring area is determined according to the stage temperature set, which can be achieved in the following manner, namely: a monitoring area is selected as the selected monitoring area, all stage temperatures of the selected monitoring area are extracted from the stage temperature set, and the extracted The maximum stage temperature among the stage temperatures is divided by the minimum stage temperature, and the value obtained by the division is subjected to a logarithmic operation with a base of 2. The value obtained by the logarithmic operation is used as the temperature mutation coefficient of the selected monitoring area, and the temperature mutation coefficients of the remaining monitoring areas are further determined, wherein the temperature mutation coefficient represents a parameter indicating the degree of temperature mutation in the monitoring area during heating in the first stage, and can be used to adjust the temperature in the container; determining the temperature mutation state in the container during the first stage heating process through all temperature mutation coefficients can be achieved in the following manner, namely: characterizing the temperature mutation state in the container during the first stage heating process using each temperature mutation coefficient; in other embodiments, other methods can also be used for determination, which are not limited here.

[0092] It should be noted that the temperature mutation state in the present application indicates the state of the degree of temperature mutation in each monitoring area when the container is heated in the first stage. The temperature mutation state is characterized by the temperature mutation coefficient, that is: when the temperature mutation coefficient is larger, it means that the temperature mutation of the monitoring area during heating is larger, and vice versa, it means that the temperature mutation of the monitoring area during heating is smaller. The heating situation in the first stage can be judged, which is convenient for regulating the heating situation of the container.

[0093] In some embodiments, elastic compensation is performed on the temperature of the container when the foam decreases in the first stage according to the temperature mutation state and the pressure fluctuation characteristics in the container. The elastic value of the temperature change in the container in the first stage can be obtained by the following steps:

[0094] Determine the characteristics of pressure fluctuations in a vessel;

[0095] determining a pressure compensation value when the foam in the container decreases in the first stage according to the pressure fluctuation characteristics;

[0096] The elasticity value of the temperature change in the first-stage container is determined by the temperature sudden change state and the pressure compensation value.

[0097] In specific implementation, the following method can be used to determine the pressure fluctuation characteristics in the container, namely: the pressure of each monitoring area of the container during the first stage of heating is collected by a pressure sensor, one monitoring area is selected as the selected monitoring area, all pressures of the selected monitoring area are extracted from all the collected pressures, the maximum pressure among all the extracted pressures is subtracted from the minimum pressure, and the value obtained by subtraction is used as the pressure fluctuation amount of the selected monitoring area, and the pressure fluctuation amount of the remaining monitoring areas is continued to be determined, wherein the pressure fluctuation amount represents the parameter value of the fluctuation degree of the monitoring area pressure during the first stage of heating, that is: the change in the monitoring area pressure; and all the pressure fluctuation amounts are used as the pressure fluctuation characteristics in the container, wherein the pressure fluctuation characteristics represent the characteristics of the pressure fluctuation degree in the container, which can be used to adjust the pressure in the container; in other embodiments, other methods can also be used for determination, which are not limited here.

[0098] In specific implementation, the pressure compensation value when the foam in the container becomes smaller in the first stage is determined according to the pressure fluctuation characteristics, which can be achieved in the following manner, namely: the average value of all pressure fluctuation quantities in the pressure fluctuation characteristics is divided by the standard deviation of all pressure fluctuation quantities in the pressure fluctuation characteristics, and the value obtained by the division is used as the pressure compensation value when the foam in the container becomes smaller in the first stage, wherein the pressure compensation value represents a parameter value of the degree of compensation of the pressure in the container during the heating process, which can be used to adjust the pressure in the container; the elasticity value of the temperature change in the container in the first stage is determined by the temperature mutation state and the pressure compensation value, which can be achieved in the following manner, namely: initialize a temperature change elasticity value model, and use the pressure compensation value as the pressure compensation value. The compensation value is used as a constraint parameter of the temperature-changing elasticity value model, and the temperature mutation state is used as an initialization parameter of the temperature-changing elasticity value model. The temperature-changing elasticity value of the rice dregs in the container during the alcohol volatilization process is output through the temperature-changing elasticity value model. The temperature-changing elasticity value model uses a machine learning algorithm (such as a regression algorithm, a neural network, etc.) to establish a temperature model of the temperature-changing elasticity value. For example, the temperature model is as follows: temperature-changing elasticity value = pressure compensation value * C + temperature mutation state * D, wherein C and D are weight coefficients. C and D can be determined based on a large number of temperature-changing elasticity values. In other embodiments, other methods can also be used for determination, which is not limited here.

[0099] It should be noted that the elastic value of temperature change in this application indicates that after the container is heated in the first stage, the rice grains can be restored to the highest temperature in the first stage when the alcohol evaporates. It can be used to regulate the temperature in the container to facilitate sufficient volatilization of the rice grains, thereby improving the production efficiency of the rice grains.

[0100] In step 105 , a temperature drift amount when compensating the temperature in the second stage is determined by the heat loss and the elasticity value of the temperature change, and the temperature of the container during the second stage heating is adjusted based on the temperature drift amount.

[0101] In some embodiments, determining the temperature drift amount when compensating the temperature in the second stage by using the heat loss and the elastic value of the temperature change can be achieved by using the following steps:

[0102] Get the heating time of the first stage;

[0103] determining a constant temperature in the first stage according to the heating time and the elastic value of the temperature change;

[0104] The amount of temperature drift when compensating for the temperature in the second stage is determined by the heat loss and the constant temperature.

[0105] In a specific implementation, the heating time of the first stage is obtained from a database of the rice wine production equipment, wherein the heating time of the first stage represents the time for heating the first stage. The constant temperature of the first stage can be determined based on the heating time and the elasticity value of the temperature change in the following manner: all temperatures of the container in the first stage are collected by a temperature sensor, the heating time and the elasticity value of the temperature change are multiplied, the multiplied value is logarithmically calculated with a base of 10, the logarithm value obtained is multiplied by the average value of all temperatures in the first stage, and the multiplied value is used as the constant temperature of the first stage. The constant temperature of the first stage represents the temperature of the container in equilibrium during the heating process of the first stage and can be used to predict the state during the heating of the second stage. The temperature drift amount when compensating for the temperature in the second stage is determined based on the heat loss and the constant temperature in the following manner: natural exponential operation is performed on the heat loss, the value obtained by the natural exponential operation is multiplied by the constant temperature, and the multiplied value is used as the temperature drift amount when compensating for the temperature in the second stage. In other embodiments, other methods can also be used for determination, which are not limited here.

[0106] It should be noted that the temperature drift amount described in this application represents the parameter value of the temperature drift degree when the container is compensated for the temperature during the heating process, that is, the degree of temperature deviation during the heating process, which can be used to compensate for the temperature in the container and reduce the impact of uneven temperature distribution on the container heating process.

[0107] In some embodiments, adjusting the temperature of the container during the second stage of heating based on the temperature drift can be achieved by using the following steps:

[0108] Obtaining temperature control information of the container;

[0109] Adjusting the temperature control information according to the temperature drift to obtain temperature control adjustment information;

[0110] The temperature of the container during the second stage of heating is adjusted according to the temperature control adjustment information.

[0111] In specific implementation, the temperature control information is adjusted according to the temperature drift amount, and the temperature control adjustment information can be obtained in the following manner, namely: the initial temperature compensation value in the temperature control information is replaced by the temperature drift amount, and the temperature control information after the replacement is used as the temperature control adjustment information, wherein the temperature control adjustment information represents the adjustment information when the temperature controller is heated when the container is heated; controlling the container to perform the second stage of heating by the temperature control adjustment information can be achieved in the following manner, namely: sending the temperature control adjustment information to the temperature controller of the container, updating the temperature control information in the temperature controller by the temperature control adjustment information, controlling the second stage of heating of the container by the updated temperature control information, and thereby completing the adjustment of the temperature of the container during the second stage of heating; in other embodiments, other methods can also be used for determination, which are not limited here.

[0112] In addition, in another aspect of the present application, in some embodiments, the present application provides a temperature intelligent control system for rice wine production equipment, referring to Figure 4 This figure is a schematic diagram of the structure of the temperature intelligent control system of rice wine production equipment according to some embodiments of the present application. The temperature intelligent control system 400 of the rice wine production equipment includes: a monitoring module 401, a processing module 402 and an execution module 403, which are described as follows:

[0113] Monitoring module 401, in this application, monitoring module 401 is mainly used to preheat the container of rice dregs in the rice wine production equipment and monitor the temperature of each monitoring area in the container;

[0114] Processing module 402, in this application, is used to extract the temperature fluctuation range when steam appears in the container from all monitored temperatures;

[0115] It should be noted that the processing module 402 in the present application is further configured to perform gradient control on the temperature when foam appears in the container based on the temperature fluctuation range and the temperature difference between each monitoring area, thereby obtaining a temperature gradient characteristic in the container, and determining the heat loss during the temperature conduction process of the steam in the container based on the temperature gradient characteristic and the distance between each monitoring area.

[0116] In addition, it should be noted that the processing module 402 in the present application is further configured to perform a first-stage heating of the container based on the heat loss, determine a temperature mutation state in the container during the first-stage heating, and elastically compensate for the temperature when the foam in the container decreases in the first stage according to the temperature mutation state and pressure fluctuation characteristics in the container, thereby obtaining an elastic value of the temperature change in the container during the first stage.

[0117] Execution module 403, in this application, execution module 403 is mainly used to determine the temperature drift when compensating the temperature in the second stage through the elastic value of the heat loss and the temperature change, and adjust the temperature of the container during the second stage heating based on the temperature drift.

[0118] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory stores code, and the processor is configured to obtain the code and execute the above-mentioned temperature intelligent control method of the rice wine production equipment.

[0119] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a temperature intelligent control method for rice wine production equipment according to some embodiments of the present application. The temperature intelligent control method for rice wine production equipment in the above embodiment can be achieved by Figure 5 The computer device 500 shown in FIG. 5 is implemented as shown in FIG. 5 . The computer device 500 includes at least one processor 501 , a communication bus 502 , a memory 503 , and at least one communication interface 504 .

[0120] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0121] The communication bus 502 may be used to transmit information between the aforementioned components.

[0122] The memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, a random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto. The memory 503 may be independent and connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0123] The memory 503 is used to store program code for executing the solution of the present application, and is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method used in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0124] The communication interface 504 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0125] In a specific implementation, as an example, a computer device may include multiple processors, each of which may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0126] The aforementioned computer device can be a general-purpose computer device or a dedicated computer device. In a specific implementation, the computer device can be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of this application do not limit the type of computer device.

[0127] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned temperature intelligent control method of the rice wine production equipment.

[0128] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0129] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A temperature intelligent control method for rice wine production equipment, characterized in that: The steps include: Preheat the container of rice dregs in rice wine production equipment and monitor the temperature of each monitoring area in the container; Extract the temperature fluctuation range when steam appears in the container from all monitored temperatures; Gradual control is performed on the temperature of the container when foaming occurs based on the temperature fluctuation range and the temperature difference between each monitoring area to obtain a temperature gradient characteristic in the container, and heat loss during temperature conduction by steam in the container is determined based on the temperature gradient characteristic and the distance between each monitoring area; The container is heated in a first stage based on the heat loss, and a temperature mutation state in the container during the first stage of heating is determined. Based on the temperature mutation state and pressure fluctuation characteristics in the container, elastic compensation is performed on the temperature when the foam in the container decreases in the first stage, thereby obtaining an elastic value of the temperature change in the container in the first stage. determining a temperature drift amount when compensating the temperature in the second stage by using the heat loss and the elastic value of the temperature change, and adjusting the temperature of the container during the second stage heating based on the temperature drift amount; The temperature gradient characteristic of the container obtained by gradiently controlling the temperature when foam appears in the container according to the temperature fluctuation range and the temperature difference between each monitoring area specifically includes: Determine the temperature difference between the temperatures in each monitoring area; determining, based on the temperature fluctuation range and all temperature differences, a plurality of gradient values for temperature compensation when foam appears in the container; The temperature at which foam appears in the container is controlled by all gradient values to obtain multiple temperature control values; determining a temperature gradient characteristic in the container based on all temperature control values; The method of determining the heat loss during the temperature conduction process of the steam in the container by using the temperature gradient characteristics and the distance between each monitoring area specifically includes: Determine the distance between each monitoring area; determining a plurality of temperature equilibrium values in the container based on all the distances and the temperature gradient characteristics; Determine the heat loss from the steam in the container during temperature conduction through all temperature equilibrium values; The elastic compensation for the temperature when the foam in the container decreases in the first stage is performed according to the temperature mutation state and the pressure fluctuation characteristics in the container, and the elastic value of the temperature change in the container in the first stage is obtained specifically including: Determine the characteristics of pressure fluctuations in a vessel; determining a pressure compensation value when the foam in the container decreases in the first stage according to the pressure fluctuation characteristics; The elasticity value of the temperature change in the first-stage container is determined by the temperature sudden change state and the pressure compensation value.

2. The method according to claim 1, wherein The temperature fluctuation range when steam appears in the container is extracted from all the monitored temperatures, including: determining a plurality of regional temperature sets when steam appears in the container based on all monitored temperatures; Determine the temperature difference range of each regional temperature set; The temperature fluctuation range when steam appears in the container is determined based on all temperature difference ranges.

3. The method according to claim 1, wherein Performing a first-stage heating of the container based on the heat loss, and determining a temperature mutation state in the container during the first-stage heating specifically includes: performing a first stage heating of the container based on the heat loss; Monitor the temperature of each monitoring area in the container during the first stage heating process to obtain a stage temperature set; Determining the temperature mutation coefficient of each monitoring area according to the stage temperature set; The temperature jump state in the container during the first stage of heating is determined by all the temperature jump coefficients.

4. The method according to claim 1, wherein Determining the temperature drift amount when compensating the temperature in the second stage by using the heat loss and the elastic value of the temperature change specifically includes: Get the heating time of the first stage; determining a constant temperature in the first stage according to the heating time and the elastic value of the temperature change; The amount of temperature drift when compensating for the temperature in the second stage is determined by the heat loss and the constant temperature.

5. A temperature intelligent control system for rice wine production equipment, which uses the method according to any one of claims 1 to 4 to perform temperature intelligent control of rice wine production equipment, characterized in that: The system includes: A monitoring module is used to monitor the temperature of each monitoring area in the container after preheating the container of rice dregs in the rice wine production equipment; A processing module, used for extracting the temperature fluctuation range when steam appears in the container from all monitored temperatures; The processing module is further configured to perform gradient control on the temperature of the container when foam appears based on the temperature fluctuation range and the temperature difference between each monitoring area, thereby obtaining a temperature gradient characteristic in the container, and determining heat loss during temperature conduction by steam in the container based on the temperature gradient characteristic and the distance between each monitoring area; The processing module is further configured to perform a first-stage heating of the container based on the heat loss, determine a temperature mutation state in the container during the first-stage heating, and elastically compensate for the temperature of the container when the foam decreases in the first stage according to the temperature mutation state and pressure fluctuation characteristics in the container, thereby obtaining an elastic value of the temperature change in the container during the first stage; An execution module is configured to determine a temperature drift when compensating for the temperature in the second stage according to the heat loss and the elastic value of the temperature change, and adjust the temperature of the container during the second stage of heating based on the temperature drift.

6. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a code, and the processor is configured to obtain the code and execute the temperature intelligent control method for rice wine production equipment as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the temperature intelligent control method for rice wine production equipment as described in any one of claims 1 to 4 is implemented.

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