Fermentation multi-stage fault detection device and fault prediction method for selenium-enriched beer fermentation tank

Abstract

The invention relates to the technical field of selenium-enriched beer fermentation fault prediction, and provides a selenium-enriched beer fermentation tank fermentation multi-stage fault detection device and a fault prediction method. The fermentation multi-stage fault detection device for the selenium-enriched beer fermentation tank comprises the vertically-arranged selenium-enriched beer fermentation tank, the selenium-enriched beer fermentation tank comprises a main tank body on the upper portion and an emergency tank body on the lower portion, and a connecting pipeline is arranged between the main tank body and the emergency tank body; a first sensor, a second sensor and a stirring linkage mechanism are arranged at the top of the main tank body, the stirring linkage mechanism penetrates through the main tank body and the emergency tank body from top to bottom, and the stirring linkage mechanism comprises an impeller arranged on a stirring main shaft and a stirring frame matched with the stirring main shaft. Through the selenium-rich beer fermentation tank and the optimized tank body structure, the stirring main shaft and the stirring linkage mechanism are combined, it is ensured that fermentation liquid is fully stirred and mixed in the tank body, and fault detection and prediction in the selenium-rich beer fermentation process are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of selenium-enriched beer fermentation fault prediction, and in particular to a selenium-enriched beer fermentation tank fermentation multi-stage fault detection device and a fault prediction method. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] In the production of selenium-enriched beer, the operating status of the fermentation tank is crucial to the quality and production efficiency of beer. Traditional fermentation tanks have a lag in fault detection, which can easily cause production interruptions or quality decline. To solve this problem, the intelligent micro-craft beer full-process brewing system disclosed in Chinese patent CN114933941A receives the optimal brewing parameters transmitted by the host computer through an intelligent control system, and guides the hardware system to complete the full process brewing accordingly, meeting the needs of small-batch brewing and scientific research, and providing convenience for entry-level brewing. However, the system still needs to be improved when dealing with fermentation tank failures: there is a lack of rapid and effective emergency mechanisms, such as emergency tanks and solenoid valves, to deal with abnormal situations; there is a lack of advanced fault prediction technology, such as neural network models, which makes it difficult to detect and deal with problems in advance; there are design defects in stirring and mixing, which leads to uneven distribution of fermentation liquid, affecting fermentation stability and beer quality. Summary of the invention

[0004] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a multi-stage fault detection device and a fault prediction method for a selenium-rich beer fermenter. The present invention ensures that the fermentation liquid is fully stirred and mixed in the tank body through a vertically arranged selenium-rich beer fermenter and an optimized tank structure, combined with a stirring main shaft and a stirring linkage mechanism. At the same time, the temperature and pressure in the fermentation process are monitored in real time through sensors, and abnormal situations are discovered and handled in time, thereby effectively improving the stability of the selenium-rich beer fermentation process.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: A first aspect of the present invention provides a selenium-enriched beer fermentation tank fermentation multi-stage fault detection device.

[0006] A multi-stage fault detection device for a selenium-enriched beer fermenter, comprising: a vertically arranged selenium-enriched beer fermenter, the selenium-enriched beer fermenter comprising an upper main tank body and a lower emergency tank body, a connecting pipeline is provided between the main tank body and the emergency tank body, a first sensor, a second sensor and a stirring linkage mechanism are respectively provided on the top of the main tank body, the stirring linkage mechanism penetrates the main tank body and the emergency tank body from top to bottom, and the stirring linkage mechanism comprises an impeller arranged on a stirring main shaft, and a stirring frame matched with the stirring main shaft.

[0007] In some embodiments, the first sensor is a pressure sensor, which is used to detect pressure values ​​of the main tank and the emergency tank at multiple stages, and to issue a warning signal according to a sudden pressure change value.

[0008] In some embodiments, the second sensor is a temperature sensor, which is used to detect temperature values ​​of the main tank and the emergency tank at multiple stages and issue a warning signal according to a sudden temperature change value.

[0009] In some embodiments, the sides of the main tank and the emergency tank are provided with support frames, which are vertical structures, extending upward from the backs of the main tank and the emergency tank, and fixed to the upper and lower sides of the main tank and the emergency tank, respectively. The present invention ensures stable support of the main tank and the emergency tank through the structure of the support frame.

[0010] In some embodiments, the stirring frame is in a staggered double U-shaped arrangement with its opening facing downward, wherein the middle portion is connected to the stirring main shaft through a shaft sleeve, and the side portions thereof abut against the side walls of the main tank body and the emergency tank body, respectively. The present invention ensures that the culture medium is fully stirred in the main tank body and the emergency tank body through the staggered double U-shaped arrangement of the stirring frame.

[0011] In some embodiments, the stirring linkage mechanism performs synchronous operation through the connecting pipeline between the main tank body and the emergency tank body, driving the culture medium in the main tank body and the emergency tank body to be stirred synchronously.

[0012] In some embodiments, when the main tank sends out an early warning signal, the solenoid valve on the connecting pipeline opens to transfer the culture medium in the main tank to the emergency tank; when the emergency tank sends out an early warning signal, the discharge valve at the bottom opens. The present invention realizes the transfer or discharge of culture medium between the main tank and the emergency tank in the event of a fault by adding a solenoid valve and a discharge valve.

[0013] A second aspect of the present invention provides a method for predicting multi-stage faults in a selenium-enriched beer fermenter.

[0014] A method for predicting multi-stage faults in a selenium-enriched beer fermenter, applied to the multi-stage fault detection device for a selenium-enriched beer fermenter described in the first aspect, comprises: Step S1: Normal fermentation stage of the main tank: the culture medium in the main tank is in a normal working state, and the stirring main shaft fully stirs the culture medium through the stirring linkage mechanism; the first sensor and the second sensor continuously detect the pressure and temperature values ​​in the main tank to ensure stable fermentation conditions; Step S2: Main tank fault handling stage: When the first sensor or the second sensor detects that the main tank has a fault, the solenoid valve automatically opens the connecting pipeline to lower the culture medium to the emergency tank below; after the fault is terminated, there are the following two situations: Situation 1: Part of the culture medium is still in the main tank, and part of the culture medium is in the emergency tank; Situation 2: All culture media are still in the emergency tank; The stirring linkage mechanism simultaneously stirs the culture medium in the two tanks; Step S3: Emergency tank failure processing stage: The first sensor and the second sensor synchronously detect the state of the emergency tank, and when the emergency tank fails, the discharge valve at the bottom is automatically opened.

[0015] Furthermore, the first sensor and the second sensor are both connected to a control mechanism, and the control mechanism includes the following modules: An information processing module, used for receiving information from the first sensor and the second sensor, and summarizing the information based on historical data to obtain the range of the pressure mutation value and the temperature mutation value; A fault prediction module is used to predict the fault location based on the sudden change in pressure and temperature of the tank; The abnormal warning module is used to issue a warning signal according to the results of the fault prediction module; The linkage execution module is used to control the opening of the solenoid valve or the discharge valve.

[0016] The present invention realizes the prediction and warning of faults and the linkage control of the solenoid valve or the discharge valve through the information processing module, the fault prediction module, the abnormal warning module and the linkage execution module in the control mechanism.

[0017] Furthermore, the control mechanism is also used to construct an Elman neural network model, and the Elman neural network model is used to train the detection data of the first sensor and the second sensor and the historical fault location information; after the training is completed, the trained Elman neural network model is used to solve the real-time data detected by the first sensor and the second sensor to predict the fault location.

[0018] Compared with the prior art, the present invention has the following beneficial effects: The invention provides a selenium-enriched beer fermentation tank fermentation multi-stage fault detection device. A vertically arranged selenium-enriched beer fermentation tank is adopted, which is conducive to maximizing the use of space while maintaining the stability of the structure; a pressure-resistant concave surface is arranged to enhance the pressure resistance of the tank body, ensuring that the integrity of the tank body can be maintained even under a high-pressure environment; a first sensor and a second sensor are arranged on the top of a main tank body and an emergency tank body to monitor key parameters in a fermentation process, such as pressure and temperature, in real time, and abnormal conditions in the fermentation process are timely discovered and processed through data collected by the sensors, thereby ensuring product quality and production efficiency; a stirring main shaft and a stirring linkage mechanism ensure that the fermentation liquid is fully stirred and mixed in the tank body; an impeller and a stirring frame on the stirring main shaft cooperate with each other to produce a strong stirring effect while avoiding excessive wear or damage to the tank body; the fermentation tank is divided into an upper main tank body and a lower emergency tank body, and when a fault occurs in the main tank body, the fermentation liquid is transferred to the emergency tank body through an electromagnetic valve, thereby avoiding production interruption and damage to product quality, and conveniently performing fault detection and maintenance, thereby reducing production risks and costs; by optimizing the tank body structure, the stirring mechanism and the sensor configuration, the overall fermentation efficiency is improved, and the energy and resource consumption is reduced.

[0019] The present invention ensures that the fermentation liquid is fully stirred and mixed in the tank body by using a vertically arranged selenium-enriched beer fermentation tank and an optimized tank body structure, in combination with a stirring main shaft and a stirring linkage mechanism. At the same time, the temperature and pressure in the fermentation process are monitored in real time by sensors, and abnormal situations are discovered and handled in time, thereby effectively improving the stability of the selenium-enriched beer fermentation process.

[0020] The present invention adds emergency handling mechanisms such as an emergency tank, a solenoid valve and a discharge valve, so that the culture medium can be quickly transferred or discharged when a fault occurs, thereby avoiding production interruption and damage to product quality, and reducing production risks and costs.

[0021] The present invention realizes the prediction and early warning of failures occurring in the fermentation process by constructing an Elman neural network model. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0023] Figure 1 The present invention shows the structure of a multi-stage fault detection device for selenium-enriched beer fermentation tank; Figure 2 It is a structural diagram of the stirring linkage mechanism shown in the present invention; Figure 3 It is a flow chart of a fault prediction method of a multi-stage fault detection device for a selenium-enriched beer fermentation tank according to the present invention; Among them, 1. main tank body, 11. stirring main shaft, 12. connecting pipeline, 13. first sensor, 14. second sensor, 15. stirring linkage mechanism, 16. stirring frame, 2. emergency tank body, 3. supporting frame. DETAILED DESCRIPTION

[0024] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0025] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0026] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0027] Embodiment 1 like Figure 1 As shown, the present embodiment provides a multi-stage fault detection device for selenium-rich beer fermentation tank fermentation, comprising: a vertically arranged selenium-rich beer fermentation tank, the selenium-rich beer fermentation tank is divided into an upper main tank body 1, a lower emergency tank body 2, and a support frame 3 located on the sides of the main tank body 1 and the emergency tank body 2, wherein: the main tank body 1 and the emergency tank body 2 are both rectangular tank bodies, the sides of which are both arranged with pressure-resistant concave surfaces, and the top is provided with a first sensor 13 and a second sensor 14 for detecting selenium-rich beer fermentation; a stirring main shaft 11 is arranged on the top of the main tank body 1, and a stirring linkage mechanism 15 is arranged at the bottom of the stirring main shaft 11, and the stirring linkage mechanism 15 passes through the main tank body 1 and the emergency tank body 2 from top to bottom; the stirring linkage mechanism 15 includes an impeller arranged on the stirring main shaft 11, and a stirring frame 16 matched with the stirring main shaft 11.

[0028] like Figure 1 and Figure 2As shown, this technical solution realizes fault detection and prediction during the fermentation process of selenium-enriched beer. Specifically, the use of a vertically arranged selenium-enriched beer fermentation tank is conducive to maximizing the use of space while maintaining the stability of the structure; the pressure-resistant concave surface is set to enhance the pressure resistance of the tank body, ensuring that the integrity of the tank body can be maintained even in a high-pressure environment; a first sensor 13 and a second sensor 14 are set on the top of the main tank body 1 and the emergency tank body 2 to monitor the key parameters of the fermentation process, such as pressure and temperature, in real time. Through the data collected by the sensors, abnormal conditions in the fermentation process can be discovered and handled in time, thereby ensuring product quality and production efficiency; the stirring spindle 11 and the stirring linkage mechanism 15 ensure that the fermentation liquid The fermentation liquid is fully stirred and mixed in the tank body; the impeller on the stirring main shaft 11 and the stirring frame 16 cooperate with each other to produce a strong stirring effect while avoiding excessive wear or damage to the tank body; the fermentation tank is divided into an upper main tank body 1 and a lower emergency tank body 2. When the main tank body 1 fails, the fermentation liquid is transferred to the emergency tank body 2 through the solenoid valve, thereby avoiding production interruption and damage to product quality, and facilitating fault detection and maintenance, reducing production risks and costs; by optimizing the tank structure, stirring mechanism and sensor configuration, the overall fermentation efficiency is improved and energy and resource consumption is reduced.

[0029] In addition, the multi-stage fault detection device for selenium-enriched beer fermentation tank according to the present invention also has the following additional technical features: According to an embodiment of the present invention, the first sensor 13 is a pressure sensor, which is used to detect pressure values ​​of the main tank 1 and the emergency tank 2 at multiple stages, and to issue a warning signal according to a sudden pressure change value.

[0030] The technical solution detects the pressure values ​​of the main tank 1 and the emergency tank 2 at multiple stages through a pressure sensor, and issues an early warning signal according to the sudden pressure change value.

[0031] According to one embodiment of the present invention, the second sensor 14 is a temperature sensor, which is used to detect temperature values ​​of the main tank 1 and the emergency tank 2 at multiple stages and issue a warning signal according to the temperature mutation value.

[0032] The technical solution detects the temperature values ​​of the main tank body 1 and the emergency tank body 2 at multiple stages through a temperature sensor, and issues an early warning signal according to the temperature mutation value.

[0033] According to one embodiment of the present invention, the support frame 3 is a vertical structure, extending upward from the back of the main tank body 1 and the emergency tank body 2, and fixed to the upper and lower sides of the main tank body 1 and the emergency tank body 2, respectively.

[0034] This technical solution ensures stable support of the main tank body 1 and the emergency tank body 2 through the structure of the support frame 3.

[0035] According to one embodiment of the present invention, the stirring frame 16 is in a staggered double U-shape with its opening facing downward, wherein its middle is connected to the stirring main shaft 11 via a shaft sleeve, and its sides respectively abut against four edges of the main tank body 1 and the emergency tank body 2 .

[0036] This technical solution ensures that the culture medium is fully stirred in the main tank body 1 and the emergency tank body 2 by means of the staggered double U-shaped arrangement of the stirring frame 16 .

[0037] According to one embodiment of the present invention, the stirring linkage mechanism 15 performs synchronous operation through the connecting pipeline 12 between the main tank body 1 and the emergency tank body 2, thereby driving the culture medium in the main tank body 1 and the emergency tank body 2 to be stirred synchronously.

[0038] This technical solution realizes synchronous stirring of the culture medium in the main tank body 1 and the emergency tank body 2 through the stirring linkage mechanism 15 .

[0039] According to one embodiment of the present invention, when the main tank body 1 sends out a warning signal, the solenoid valve on the connecting pipe 12 opens, and the culture medium in the main tank body 1 is lowered into the emergency tank body 2; when the emergency tank body 2 sends out a warning signal, the discharge valve at the bottom is opened.

[0040] This technical solution realizes the transfer or discharge of culture medium between the main tank body 1 and the emergency tank body 2 in the event of a fault by adding a solenoid valve and a discharge valve.

[0041] Embodiment 2 Based on the first embodiment, Figure 3 As shown, this embodiment provides a fault prediction method, comprising the following steps: S1: Normal fermentation stage of the main tank: the culture medium in the main tank 1 is in normal working state, and the stirring main shaft 11 fully stirs the culture medium through the stirring linkage mechanism 15; the first sensor 13 and the sensor continuously detect the pressure and temperature values ​​in the main tank 1 to ensure stable fermentation conditions; S2: Main tank fault handling stage: When the first sensor 13 or the second sensor 14 detects that the main tank 1 has a fault, the solenoid valve automatically opens the connecting pipe 12 to lower the culture medium to the emergency tank 2 below; after the fault is terminated, there are the following two situations: Situation 1: Part of the culture medium is still in the main tank 1, and part of the culture medium is in the emergency tank 2; Case 2: All the culture medium is still in emergency tank 2; At this time, the stirring linkage mechanism 15 simultaneously stirs the culture medium in the two tanks; S3: Emergency tank failure processing stage: The first sensor 13 and the second sensor 14 synchronously detect the state of the emergency tank 2. When the emergency tank 2 fails, the discharge valve at the bottom is automatically opened to discharge the culture medium in time to avoid interference with the fermentation process.

[0042] This technical solution realizes refined management and fault prevention of the fermentation process. Specifically, it ensures that the culture medium of the main tank body 1 is fully stirred during the normal fermentation stage through the S1 stage, and uses the first sensor 13 and the second sensor 14 to continuously monitor the pressure and temperature values ​​in the main tank body 1, so as to maintain the stability of the fermentation conditions; when the main tank body 1 fails, it automatically lowers the culture medium to the emergency tank body 2 through the S2 stage, and flexibly adjusts the stirring linkage mechanism 15 according to the situation after the failure ends, to ensure that the culture medium in the two tanks can be fully stirred; finally, when the emergency tank body 2 also fails, it uses the first sensor 13 and the second sensor 14 to synchronously detect the state of the emergency tank body 2 through the S3 stage, and automatically opens the discharge valve when a fault is detected, and discharges the culture medium in time to prevent the fault from interfering with the fermentation process; the whole method has clear logic, and effectively improves the stability and reliability of the selenium-enriched beer fermentation process through real-time monitoring, fault warning and emergency handling.

[0043] According to one embodiment of the present invention, the first sensor 13 and the second sensor 14 are both connected to a control mechanism, and the control mechanism includes the following modules: An information processing module, used to receive information from the first sensor 13 and the second sensor 14, and summarize the information based on historical data to obtain the range of the pressure mutation value and the temperature mutation value; A fault prediction module is used to predict the fault location based on the sudden change in pressure and temperature of the tank; The abnormal warning module is used to issue warning signals based on the results of the fault prediction module and solve the faults in a timely manner; The linkage execution module is used to open the solenoid valve or the discharge valve in a linked manner to avoid the continued impact of the problematic culture medium.

[0044] This technical solution realizes fault prediction and warning, as well as linkage control of the solenoid valve or the discharge valve through the information processing module, fault prediction module, abnormal warning module and linkage execution module in the control mechanism.

[0045] According to one embodiment of the present invention, the control mechanism also constructs an Elman neural network model, which obtains a sample set by training the detection data of the first sensor 13 and the second sensor 14 and the historical fault location information; after the training is completed, the trained Elman neural network model is used to solve the real-time detection data of the first sensor 13 and the second sensor 14 to obtain the predicted fault location, and the maintenance personnel are informed in advance to prepare.

[0046] The specific steps include the following: Step 1: Data preparation: obtain real-time pressure mutation values ​​and temperature mutation values ​​from the first sensor 13 and the second sensor 14; collect fault location information from historical records as labels; clean the collected data to remove noise and outliers; standardize or normalize the data to ensure that the data of each dimension is on the same scale; convert the time series data into a format suitable for Elman neural network input, such as using a sliding window technique to generate an input sequence; Step 2: Construct the Elman neural network model, where: The input layer includes two neurons corresponding to the detection data of the first sensor 13 and the second sensor 14 respectively; Hidden layer, including multiple hidden layers, each hidden layer contains a certain number of neurons for extracting features; The receiving layer stores the output of the hidden layer at the previous moment and is used to provide feedback; The output layer, including one neuron, outputs the predicted fault location information; Weights and biases, randomly initialize the weights and biases in the network, and set a suitable learning rate to control the step size of parameter updates; Step 3: Train the Elman neural network: Calculate the outputs of the hidden layer and the output layer according to the detection values ​​of the first sensor 13 and the second sensor 14 and the current weights; The output of the hidden layer is simultaneously transmitted to the receiving layer; The error of the output layer is calculated using the historical fault location information as a label; The gradient of each parameter in the network is calculated by the BPTT algorithm; Consider the feedback from the receiving layer and adjust the weights between the hidden layer and the input layer; Update the weights and biases in the network according to the calculated gradients and learning rates until the preset number of iterations is reached or the error converges to a threshold; Step 4: Model evaluation and optimization: Use the validation data set to evaluate the performance of the model, such as accuracy; adjust the network structure and learning rate based on the evaluation results; try different network structures, activation functions, regularization methods, etc. to improve the generalization ability of the model; Step 5: Real-time prediction and fault warning: obtain the detection data of the first sensor 13 and the second sensor 14 in real time; input the real-time data into the trained Elman neural network model to obtain the predicted fault location; based on the prediction results, determine whether there is a potential fault risk; if the fault location is predicted, inform the maintenance personnel in advance to prepare.

[0047] This technical solution improves the accuracy and timeliness of fault prediction by constructing an Elman neural network model.

[0048] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A multi-stage fault detection device for selenium-enriched beer fermentation tank, characterized in that: include: A vertically arranged selenium-rich beer fermentation tank comprises an upper main tank body and a lower emergency tank body, a connecting pipeline is arranged between the main tank body and the emergency tank body, a first sensor, a second sensor and a stirring linkage mechanism are respectively arranged on the top of the main tank body, the stirring linkage mechanism penetrates the main tank body and the emergency tank body from top to bottom, and the stirring linkage mechanism comprises an impeller arranged on a stirring main shaft, and a stirring frame matched with the stirring main shaft.

2. The selenium-enriched beer fermentation tank fermentation multi-stage fault detection device according to claim 1, characterized in that: The first sensor is a pressure sensor, which is used to detect the pressure values ​​of the main tank and the emergency tank at multiple stages and send out a warning signal according to the sudden change in pressure.

3. The selenium-enriched beer fermentation tank fermentation multi-stage fault detection device according to claim 1, characterized in that: The second sensor is a temperature sensor, which is used to detect the temperature values ​​of the main tank and the emergency tank at multiple stages and send out an early warning signal according to the temperature mutation value.

4. The selenium-enriched beer fermentation tank fermentation multi-stage fault detection device according to claim 1, characterized in that: The sides of the main tank body and the emergency tank body are provided with support frames, which are vertical structures, extend upward from the backs of the main tank body and the emergency tank body respectively, and are fixed to the upper and lower sides of the main tank body and the emergency tank body respectively.

5. The selenium-enriched beer fermentation tank fermentation multi-stage fault detection device according to claim 1, characterized in that: The stirring frame is in a staggered double U-shape with its opening facing downwards, wherein the middle portion is connected to the stirring main shaft through a shaft sleeve, and the side portions thereof are respectively in contact with the side walls of the main tank body and the emergency tank body.

6. The selenium-enriched beer fermentation tank fermentation multi-stage fault detection device according to claim 1, characterized in that: The stirring linkage mechanism performs synchronous action through the connecting pipeline between the main tank body and the emergency tank body, driving the culture medium in the main tank body and the emergency tank body to be stirred synchronously.

7. The selenium-enriched beer fermentation tank fermentation multi-stage fault detection device according to claim 1, characterized in that: When the main tank sends out an early warning signal, the solenoid valve on the connecting pipeline opens to release the culture medium in the main tank into the emergency tank; when the emergency tank sends out an early warning signal, the discharge valve at the bottom opens.

8. A method for predicting multi-stage failures in selenium-enriched beer fermentation tanks, characterized in that: The selenium-enriched beer fermentation tank fermentation multi-stage fault detection device applied to any one of claims 1 to 7 comprises: Step S1: Normal fermentation stage of the main tank: the culture medium in the main tank is in a normal working state, and the stirring main shaft fully stirs the culture medium through the stirring linkage mechanism; the first sensor and the second sensor continuously detect the pressure and temperature values ​​in the main tank to ensure stable fermentation conditions; Step S2: Main tank fault handling stage: When the first sensor or the second sensor detects that the main tank has a fault, the solenoid valve automatically opens the connecting pipeline to lower the culture medium to the emergency tank below; after the fault is terminated, there are the following two situations: Situation 1: Part of the culture medium is still in the main tank, and part of the culture medium is in the emergency tank; Situation 2: All culture media are still in the emergency tank; The stirring linkage mechanism simultaneously stirs the culture medium in the two tanks; Step S3: Emergency tank failure processing stage: The first sensor and the second sensor synchronously detect the state of the emergency tank, and when the emergency tank fails, the discharge valve at the bottom is automatically opened.

9. The method for predicting multi-stage faults of selenium-enriched beer fermentation tank fermentation according to claim 8, characterized in that: The first sensor and the second sensor are both connected to a control mechanism, which includes the following modules: An information processing module, used for receiving information from the first sensor and the second sensor, and summarizing the information based on historical data to obtain the range of the pressure mutation value and the temperature mutation value; A fault prediction module is used to predict the fault location based on the sudden change in pressure and temperature of the tank; The abnormal warning module is used to issue a warning signal according to the results of the fault prediction module; The linkage execution module is used to control the opening of the solenoid valve or the discharge valve.

10. The method for predicting multi-stage faults of selenium-enriched beer fermentation tank fermentation according to claim 9, characterized in that: The control mechanism is also used to construct an Elman neural network model, and the Elman neural network model is used to train the detection data of the first sensor and the second sensor and the historical fault location information; After the training is completed, the trained Elman neural network model is used to solve the real-time data detected by the first sensor and the second sensor to predict the fault location.

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