Intelligent temperature control system and method for rice wine production equipment

Abstract

The invention provides an intelligent temperature control system and method for rice wine production equipment. The method comprises the following steps: extracting a temperature fluctuation interval when steam appears in a container from all monitored temperatures; determining the temperature gradient characteristic in the container according to the temperature fluctuation interval and the temperature difference between the monitoring areas, and further determining the heat loss of the steam in the container in the temperature conduction process; performing first-stage heating on the container based on the heat loss, determining a temperature sudden change state in the container during first-stage heating, and determining an elastic value of temperature change according to the temperature sudden change state and pressure fluctuation characteristics in the container; the temperature drift amount is determined through the elastic values of the heat loss and the temperature change, and the temperature of the container during second-stage heating is adjusted based on the temperature drift amount. By adopting the scheme, the temperature in the container can be intelligently controlled, and the influence of temperature mutation on temperature conduction in the container in the heating process of the container is reduced, so that the wine quality of the rice grains in the container is improved.

Description

Technical Field

[0001] The present application relates to the technical field of temperature intelligent control, 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 accurately adjusting and optimizing temperature using intelligent control technology. Intelligent temperature control is widely used in various fields, including industrial process control, HVAC systems, laboratory equipment, household appliances, etc. Through intelligent control, energy efficiency can be improved, product quality can be guaranteed, comfort can be improved, and human operation errors can be reduced.

[0003] The intelligent temperature control of rice wine production equipment refers to the real-time monitoring, precise control and intelligent adjustment of the fermentation temperature in the rice wine production process through advanced sensing technology, automatic control system and data analysis methods, so as to ensure the stability of the fermentation process and the consistency of rice wine quality. In the intelligent temperature control of existing rice wine production equipment, the collected wine outlet temperature data is sent to the temperature controller for logical processing, and the condensed water flow rate and steam flow rate are adjusted in real time according to the measurement of wine outlet temperature, wine outlet flow rate or other wine outlet characteristics, and then the saturated steam flow rate and wine outlet temperature are controlled to ensure the base wine output and quality. However, when distilling wine, temperature control is a key factor. The traditional control method cannot accurately control the temperature change, and it is easy to have uneven temperature and sudden temperature changes when the container is heated, which will cause some substances in the rice dregs to volatilize and affect the small molecular substances in the wine body. Therefore, how to realize intelligent control of the temperature in the container, reduce the impact of sudden temperature changes in the container during heating on the temperature conduction in the container, and thus improve the wine quality of the rice dregs in the container has become a problem faced by 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 a 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 rice dregs in the container.

[0005] In a first aspect, the present application provides a temperature intelligent control method for rice wine production equipment, comprising the following steps: Preheat the container of rice dregs in the 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 the monitored temperatures; Gradient control is performed on the temperature when foam appears in the container 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 the steam in the container during the temperature conduction process is determined according to 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 a temperature mutation state in the container during the first stage of heating is determined, and elastic compensation is performed on the temperature when the foam in the container decreases in the first stage according to the temperature mutation state and the pressure fluctuation characteristics in the container, so as to obtain an elastic value of the temperature change in the container in the first stage; The 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.

[0006] In some embodiments, extracting the temperature fluctuation range when steam appears in the container from all monitored temperatures specifically includes: Determine multiple 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.

[0007] In some embodiments, the temperature when foam appears in the container is gradient-controlled according to the temperature fluctuation interval and the temperature difference between each monitoring area, and the temperature gradient characteristics in the container are obtained specifically including: Determine the temperature difference between the temperatures in each monitoring area; Determine multiple gradient values ​​for temperature compensation when foam appears in the container according to the temperature fluctuation range and all temperature differences; The temperature when foam appears in the container is regulated by all the gradient values ​​to obtain multiple temperature regulation values; The temperature gradient characteristic in the container is determined based on all temperature control values.

[0008] In some embodiments, determining the heat loss of steam in the container during temperature conduction 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 through temperature conduction using all temperature balance values.

[0009] In some embodiments, performing a first-stage heating on 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; Determine 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 temperature jump coefficients.

[0010] In some embodiments, elastic compensation is performed on the temperature when the foam in the container decreases in the first stage 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, which specifically includes: Determine the characteristics of pressure fluctuations in a vessel; Determine the 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.

[0011] 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: 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 the temperature in the second stage is determined by the heat loss and the constant temperature.

[0012] In a second aspect, the present application provides a temperature intelligent control system for rice wine production equipment, comprising: 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 the monitored temperatures; The processing module is further used to perform gradient control on the temperature when foam appears in the container according to the temperature fluctuation range and the temperature difference between each monitoring area, obtain the temperature gradient characteristics in the container, and determine the heat loss of the steam in the container during the temperature conduction process according to the temperature gradient characteristics and the distance between each monitoring area; The processing module is further used to perform a first-stage heating of the container based on the heat loss, and determine a temperature mutation state in the container during the first-stage heating, and elastically compensate the temperature when the foam in the container decreases in the first stage according to the temperature mutation state and the pressure fluctuation characteristics in the container, so as to obtain an elastic value of the temperature change in the container in the first stage; The execution module is used to determine the temperature drift amount when compensating 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 heating based on the temperature drift amount.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned temperature intelligent control method for the rice wine production equipment.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the temperature intelligent control method of the above-mentioned rice wine production equipment is implemented.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In the temperature intelligent control system and method for rice wine production equipment provided by the present application, first, the container of rice dregs in the rice wine production equipment is 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, and the temperature gradient characteristics in the container are obtained, and the heat loss of steam in the container during the temperature conduction process 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, and the elastic value of the temperature change in the container in the first stage is obtained; the 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 of heating is adjusted based on the temperature drift amount.

[0016] It can be seen that in the process of intelligent temperature control of rice wine production equipment in the present application, first, the temperature of each monitoring area in the container is monitored, and the temperature fluctuation interval when steam appears in the container is extracted from all the monitored temperatures. The temperature fluctuation interval represents the interval of the degree of temperature fluctuation 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; the temperature when foam appears in the container is gradient-regulated according to the temperature fluctuation interval and the temperature difference between each monitoring area, and the temperature gradient characteristics in the container are obtained. 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 the temperature conduction process. The heat loss is a parameter that reflects the degree of loss of steam in the container during the temperature conduction process, 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 alcohol volatilization process. The influence of uniform heating on the rice dregs is further determined, wherein the temperature mutation state in the container during the first stage of heating is determined, wherein the temperature mutation state indicates the state of the degree of mutation of the temperature in each monitoring area during the heating of the container during the first stage, and the heating situation of the first stage can be judged, so as to facilitate the regulation of the heating situation of the container; elastic compensation is performed on the temperature when the foam in the container in the first stage becomes smaller according to the temperature mutation state and the pressure fluctuation characteristics in the container, so as to obtain the elastic value of the temperature change in the container in the first stage, wherein the elastic value of the temperature change indicates that the container can restore the rice dregs to the highest temperature in the first stage when the alcohol evaporates after the heating in the first stage, and can be used to regulate the temperature in the container, so as to facilitate the rice dregs to fully evaporate, thereby improving the production efficiency of the rice dregs; finally, the 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, wherein the temperature drift amount indicates the parameter value of the degree of temperature drift when the container compensates the temperature during the heating process, and can be used to compensate the temperature in the container, so as to reduce the influence of uneven temperature distribution on the heating process of the container; and the temperature of the container during the second stage of heating is adjusted based on the temperature drift amount. The above scheme 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

[0017] 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; Figure 2 is a flow chart of rice wine distillation according to some embodiments of the present application; Figure 3 is an exemplary flow chart of determining temperature gradient characteristics according to some embodiments of the present application; Figure 4 It is a structural schematic diagram of a temperature intelligent control system for rice wine production equipment according to some embodiments of the present application; Figure 5 It is a structural schematic 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 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 in conjunction with the accompanying drawings and specific implementation methods.

[0018] refer to Figure 1 , which is an exemplary flow chart of a temperature intelligent control method for a rice wine production device according to some embodiments of the present application. The temperature intelligent control method 100 for the rice wine production device mainly includes the following steps: In step 101, a container of rice dregs in a rice wine production device is preheated, and the temperature of each monitoring area in the container is monitored.

[0019] 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 of the container fluctuates greatly during the distillation process, and the area corresponding to each sensor node is used as the monitoring area. It should be noted that the rice wine production equipment in the present application belongs to 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 45-60°C, the resulting wine is called head wine. 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 tail wine. In other embodiments, other monitoring methods can also be used, which are not limited here.

[0020] In some embodiments, reference Figure 2 As shown in the figure, this figure is a flow chart of rice wine distillation in some embodiments of the present application, such as Figure 2As described, after the rice dregs are produced in the early stage, the rice dregs are added into 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 process of producing rice wine (i.e., the first stage heating and the 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.

[0021] In step 102, the temperature fluctuation range when steam appears in the container is extracted from all monitored temperatures.

[0022] 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: Determine multiple 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.

[0023] In specific implementation, the following method can be used to determine multiple regional temperature sets when steam appears in the container based on all temperatures obtained by monitoring, namely: after judging that the rice dregs and steam have reached equilibrium by the headspace injection-gas chromatography-mass spectrometry technology in the prior art, the top gas is directly extracted for chromatographic analysis, and then the volatility of the alcohol in the rice dregs is tested, so as to obtain the time point when steam appears in the container, select a monitoring area as the selected monitoring area, extract all temperatures in the selected monitoring area from all temperatures obtained by monitoring, and judge the collection time corresponding to each extracted temperature. If the collection 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 collection time is before the time point when steam appears in the container, the corresponding temperature is removed, and then multiple regional temperatures are obtained. The set of all regional temperatures is used as the regional temperature set of the selected monitoring area, and the regional temperature sets of the remaining monitoring areas are continuously determined, wherein the regional temperature in the regional temperature set represents the temperature of the monitoring area when the alcohol in the rice dregs begins to volatilize. In other embodiments, other methods can also be used to determine, which is not limited here.

[0024] In specific implementation, determining the temperature difference interval of each regional temperature set can be achieved in the following manner, namely: selecting a regional temperature set as the selected regional temperature set, arranging all regional temperatures in the selected regional temperature set in the order of acquisition time, using the sequence obtained by arrangement as the 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, using the subtracted value as the regional difference value of the selected adjacent regional temperature, and continuing to determine the regional difference values ​​of the remaining groups of adjacent regional temperatures in the regional temperature sequence, wherein the regional difference value represents a parameter value of the degree of difference between adjacent temperatures, using the interval composed of the maximum regional difference value and the minimum regional difference value as the temperature difference interval of the selected regional temperature set, and continuing to determine the temperature difference interval of the remaining regional temperature sets, wherein the temperature difference interval represents the interval of the degree of temperature difference of the monitoring area when the rice dregs are volatilizing alcohol; determining the temperature fluctuation interval when steam appears in the container according to all temperature difference intervals can be achieved in the following manner, namely: using the average interval of all temperature difference intervals as the temperature fluctuation interval when steam appears in the container; in other embodiments, other methods can also be used for determination, which are not limited here.

[0025] It should be noted that the temperature fluctuation range in the present 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.

[0026] 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, so as to obtain the temperature gradient characteristics in the container, and the heat loss of the steam in the container during the temperature conduction is determined by the temperature gradient characteristics and the distance between each monitoring area.

[0027] In some embodiments, reference Figure 3 As shown in FIG. 1 , this figure is an exemplary schematic diagram of determining the temperature gradient characteristics in some embodiments of the present application. In this embodiment, 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. The temperature gradient characteristics in the container can be obtained by the following steps: First, in step 1031, the temperature difference between the temperatures in each monitoring area is determined; Next, in step 1032, multiple gradient values ​​for temperature compensation when foam appears in the container are determined according to the temperature fluctuation range and all temperature differences; Then, in step 1033, the temperature when foam appears in the container is regulated by all the gradient values ​​to obtain a plurality of temperature regulation values; Finally, in step 1034, the temperature gradient characteristics in the container are determined based on all the temperature control values.

[0028] 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 selected two monitoring areas at the same time as the phase difference value of the temperature of the selected two monitoring areas at the same time, and then obtaining the phase difference value of the temperature of the selected two monitoring areas at different times, taking the average absolute value of all the phase difference values ​​as the temperature difference between the selected two 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 may also be used for determination, which are not limited here.

[0029] 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 regulated by all the gradient values, and multiple temperature control values ​​are obtained, which can be implemented in the following manner, 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 degree of control 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.

[0030] 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.

[0031] It should be noted that the temperature gradient characteristics in the present 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.

[0032] In some embodiments, determining the heat loss of steam in the container during temperature conduction by using the temperature gradient characteristics and the distance between each monitoring area can be achieved by the following steps: 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 through temperature conduction using all temperature balance values.

[0033] In specific implementation, determining the distance between each monitoring area can be achieved in the following manner, namely: collecting the distance between the center points of each monitoring area through a laser distance sensor, and taking the distance between the center points of each monitoring area as the distance between the corresponding monitoring areas; determining multiple temperature balance values ​​in the container based on all distances and the temperature gradient characteristics can be achieved in the following manner, namely: selecting a group of adjacent monitoring areas as selected adjacent monitoring areas, performing a logarithmic operation with a base of 10 on the distances corresponding to the selected adjacent monitoring areas, multiplying the value obtained by the logarithmic operation with the corresponding control difference value of the selected adjacent monitoring areas in the temperature gradient characteristics, and taking the multiplied value as the temperature balance value of the selected adjacent monitoring areas, and continuing to determine the temperature balance values ​​of the remaining groups of adjacent monitoring areas, thereby obtaining multiple temperature balance values ​​in the container, wherein the temperature balance value represents the parameter value of the temperature in a balanced state between adjacent monitoring areas in the container, which can be used to adjust the temperature between adjacent monitoring areas; in other embodiments, other methods can also be used for determination, which are not limited here.

[0034] In specific implementation, the heat loss of steam in the container during temperature conduction 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 of steam in the container during temperature conduction through the heat loss model. The heat loss model is a heat loss model that uses a machine learning algorithm (such as a regression algorithm, a neural network, etc.) to establish a heat loss model. The heat loss model is, for example: heat loss = all temperature balance values ​​* A + container volume * B, wherein A and B are weight coefficients, A and B can be determined based on a large amount of heat loss, and can also be determined in other ways in other embodiments, which are not limited here.

[0035] It should be noted that the heat loss in the present application is a parameter that reflects the degree of loss of temperature during the temperature conduction process of steam in the container, and 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, thereby reducing the impact of uneven temperature conduction caused by steam on the heating of the rice grains during the volatilization of alcohol in the container.

[0036] 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, the temperature when the foam in the container decreases in the first stage is elastically compensated to obtain the elastic value of the temperature change in the container in the first stage.

[0037] In some embodiments, performing a first-stage heating on the container based on the heat loss and determining the temperature mutation state in the container during the first-stage heating can be achieved by using the following steps: 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; Determine 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 temperature jump coefficients.

[0038] 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., 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.

[0039] 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 implemented 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, and 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 of 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 the 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 by each temperature mutation coefficient; in other embodiments, other methods can also be used for determination, which are not limited here.

[0040] 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.

[0041] In some embodiments, elastic compensation is performed on the temperature when the foam in the container decreases in the first stage 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 by the following steps: Determine the characteristics of pressure fluctuations in a vessel; Determine the 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.

[0042] In specific implementation, determining the pressure fluctuation characteristics in the container can be achieved in the following manner, namely: collecting the pressure of each monitoring area of ​​the container during the first stage of heating through a pressure sensor, selecting a monitoring area as the selected monitoring area, extracting all pressures in the selected monitoring area from all the collected pressures, subtracting the minimum pressure from the maximum pressure of all the extracted pressures, and using the subtracted value as the pressure fluctuation amount of the selected monitoring area, and continuing to determine the pressure fluctuation amounts of the remaining monitoring areas, wherein the pressure fluctuation amount represents a parameter value of the fluctuation degree of the pressure in the monitoring area during the first stage of heating, namely: the change in the pressure in the monitoring area; and using all the pressure fluctuation amounts 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.

[0043] In specific implementation, the pressure compensation value when the foam in the container in the first stage becomes smaller is determined according to the pressure fluctuation characteristics, which can be implemented 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 in the first stage becomes smaller, wherein the pressure compensation value represents a parameter value of the degree of compensation of the pressure in the container during the heating process, and 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 implemented 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 change elasticity value model, and the temperature mutation state is used as an initialization parameter of the temperature change elasticity value model. The temperature change elasticity value of the rice grains in the container during the alcohol volatilization process is output through the temperature change elasticity value model. The temperature change 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 change elasticity value. The temperature model is, for example: temperature change elasticity value = pressure compensation value * C + temperature mutation state * D, wherein C and D are weight coefficients, C and D can be determined according to a large number of temperature change elasticity values, and can also be determined in other ways in other embodiments, which are not limited here.

[0044] It should be noted that the elastic value of temperature change in the present 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, which 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.

[0045] In step 105, 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.

[0046] 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 implemented by the following steps: 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 the temperature in the second stage is determined by the heat loss and the constant temperature.

[0047] In specific implementation, the heating time of the first stage is obtained from the 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 according to the heating time and the elastic value of the temperature change, which can be implemented in the following manner, namely: all temperatures of the container in the first stage are collected by a temperature sensor, the heating time and the elastic value of the temperature change are multiplied, the multiplied value is subjected to a logarithmic operation with a base of 10, the value obtained by the logarithmic operation 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, wherein the constant temperature of the first stage represents the temperature of the container in equilibrium during the heating process in the first stage, which can be used to predict the state during the heating in the second stage; the temperature drift amount when compensating the temperature in the second stage by the heat loss and the constant temperature can be implemented in the following manner, namely: the heat loss is subjected to a natural exponential operation, 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 the temperature in the second stage; in other embodiments, other methods can also be used for determination, which are not limited here.

[0048] It should be noted that the temperature drift amount described in the present 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.

[0049] 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: Obtaining temperature control information of the container; Adjusting the temperature control information according to the temperature drift amount to obtain temperature control adjustment information; The temperature of the container during the second stage of heating is adjusted according to the temperature control adjustment information.

[0050] 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.

[0051] 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 , which is a schematic diagram of the structure of the temperature intelligent control system of the 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 respectively described as follows: Monitoring module 401, in this application, monitoring module 401 is mainly 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; Processing module 402, in the present application, the processing module 402 is used to extract the temperature fluctuation range when steam appears in the container from all the monitored temperatures; It should be noted that the processing module 402 in the present application is also used to perform gradient control on the temperature when foam appears in the container according to the temperature fluctuation range and the temperature difference between each monitoring area, obtain the temperature gradient characteristics in the container, and determine the heat loss of the steam in the container during the temperature conduction process through the temperature gradient characteristics and the distance between each monitoring area; In addition, it should be noted that the processing module 402 in the present application is also used to perform a first-stage heating of the container based on the heat loss, and determine a temperature mutation state in the container during the first-stage heating, and elastically compensate the temperature when the foam in the container decreases in the first stage according to the temperature mutation state and the pressure fluctuation characteristics in the container, so as to obtain an elastic value of the temperature change in the container in the first stage; Execution module 403, in the present 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.

[0052] 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.

[0053] 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 a rice wine production device according to some embodiments of the present application. The temperature intelligent control method for a rice wine production device in the above embodiment can be Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0054] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0055] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0056] The memory 503 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or 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 a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0057] The memory 503 is used to store the program code for executing the solution of the present application, and the execution 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.

[0058] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0059] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0060] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may 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 embodiment of the present application does not limit the type of computer device.

[0061] 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.

[0062] Although the preferred embodiments of the present application have been described, those skilled in the art may make other 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 falling within the scope of the present application.

[0063] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also 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 the 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 the monitored temperatures; Gradient control is performed on the temperature when foam appears in the container 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 the steam in the container during the temperature conduction process is determined according to 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 a temperature mutation state in the container during the first stage of heating is determined, and elastic compensation is performed on the temperature when the foam in the container decreases in the first stage according to the temperature mutation state and the pressure fluctuation characteristics in the container, so as to obtain an elastic value of the temperature change in the container in the first stage; The 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.

2. The method according to claim 1, characterized in that The temperature fluctuation range when steam appears in the container is extracted from all the monitored temperatures, including: Determine multiple regional temperature sets when steam appears in the container based on all monitored temperatures; Determine the temperature difference range of each regional temperature set; Based on all the temperature difference ranges, determine the temperature fluctuation range when steam appears in the container.

3. The method according to claim 1, characterized in that 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, and the temperature gradient characteristics in the container are obtained, specifically including: Determine the temperature difference between the temperatures in each monitoring area; Determine multiple gradient values ​​for temperature compensation when foam appears in the container according to the temperature fluctuation range and all temperature differences; The temperature when foam appears in the container is regulated by all the gradient values ​​to obtain multiple temperature regulation values; The temperature gradient characteristic in the container is determined based on all temperature control values.

4. The method according to claim 1, characterized in that Determining the heat loss of the steam in the container during the temperature conduction process 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 through temperature conduction using all temperature equilibrium values.

5. The method according to claim 1, characterized in that 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; Determine 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 temperature jump coefficients.

6. The method according to claim 1, characterized in that 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 in the first stage decreases, and the elastic value of the temperature change in the container in the first stage is obtained, which specifically includes: Determine the characteristics of pressure fluctuations in a vessel; Determine the 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.

7. The method according to claim 1, characterized in that Determining the temperature drift amount when compensating the temperature in the second stage by 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 the temperature in the second stage is determined by the heat loss and the constant temperature.

8. A temperature intelligent control system for rice wine production equipment, characterized in that: include: 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 the monitored temperatures; The processing module is further used to perform gradient control on the temperature when foam appears in the container according to the temperature fluctuation range and the temperature difference between each monitoring area, obtain the temperature gradient characteristics in the container, and determine the heat loss of the steam in the container during the temperature conduction process according to the temperature gradient characteristics and the distance between each monitoring area; The processing module is further used to perform a first-stage heating of the container based on the heat loss, and determine a temperature mutation state in the container during the first-stage heating, and elastically compensate the temperature when the foam in the container decreases in the first stage according to the temperature mutation state and the pressure fluctuation characteristics in the container, so as to obtain an elastic value of the temperature change in the container in the first stage; The execution module is used to determine the temperature drift amount when compensating 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 heating based on the temperature drift amount.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the temperature intelligent control method for rice wine production equipment as described in any one of claims 1 to 7.

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

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