Multi-stage Fermentation ... Device and Fermentation Prediction Method
By using a vertically mounted selenium-enriched beer fermentation tank and a stirring linkage mechanism, combined with sensors and an Elman neural network model, the problem of lagging fault detection in traditional fermentation tanks has been solved, thereby improving the stability of the fermentation process and increasing production efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-27
- Publication Date
- 2026-04-03
AI Technical Summary
Traditional selenium-enriched beer fermentation tanks suffer from lag in fault detection, lack rapid and effective emergency mechanisms and advanced fault prediction technologies, leading to production interruptions or quality declines. Design flaws in stirring and mixing also affect fermentation stability and quality.
The vertically mounted selenium-enriched beer fermentation tank, combined with a stirring spindle and stirring linkage mechanism, uses sensors to monitor temperature and pressure in real time, promptly detects abnormalities, and transfers the fermentation liquid to an emergency tank in case of failure. The Elman neural network model is used for fault prediction and early warning.
It improves the stability and production efficiency of the fermentation process, avoids production interruptions and product quality damage, reduces production risks and costs, and enables rapid detection and prediction of faults.
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Figure CN119469272B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of selenium-enriched beer fermentation failure prediction technology, and in particular to a multi-stage failure detection device and failure prediction method for selenium-enriched beer fermentation tanks. Background Technology
[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.
[0003] In selenium-enriched beer production, the operational status of the fermentation tank is crucial to beer quality and production efficiency. Traditional fermentation tanks suffer from lag in fault detection, easily leading to production interruptions or quality decline. To address this issue, Chinese patent CN114933941A discloses an intelligent micro-craft beer brewing system. This system receives optimal brewing parameters from a host computer via an intelligent control system and guides the hardware system to complete the entire brewing process, meeting the needs of small-batch brewing and research, and providing convenience for entry-level brewing. However, this system still needs improvement in dealing with fermentation tank malfunctions: it lacks rapid and effective emergency mechanisms, such as emergency tanks and solenoid valves, to handle abnormal situations; it lacks advanced fault prediction technologies, such as neural network models, making it difficult to detect and address problems in advance; and there are design flaws in the stirring and mixing aspects, resulting in uneven distribution of the fermentation liquid, affecting fermentation stability and beer quality. Summary of the Invention
[0004] To address the technical problems mentioned above, this invention provides a multi-stage fault detection device and fault prediction method for selenium-enriched beer fermentation tanks. This invention utilizes a vertically designed selenium-enriched beer fermentation tank with an optimized tank structure, combined with a stirring spindle and a stirring linkage mechanism, to ensure thorough stirring and mixing of the fermentation liquid within the tank. Simultaneously, sensors monitor temperature and pressure in real time during fermentation, enabling timely detection and handling of abnormal situations, thereby effectively improving the stability of the selenium-enriched beer fermentation process.
[0005] To achieve the above objectives, the present invention adopts the following technical solution:
[0006] The first aspect of the present invention provides a multi-stage fault detection device for a selenium-enriched beer fermentation tank.
[0007] A multi-stage fault detection device for a selenium-enriched beer fermentation tank includes: a vertically arranged selenium-enriched beer fermentation tank, the selenium-enriched beer fermentation tank including an upper main tank and a lower emergency tank, a connecting pipeline between the main tank and the emergency tank, a first sensor, a second sensor and a stirring linkage mechanism respectively provided on the top of the main tank, the stirring linkage mechanism passing through the main tank and the emergency tank from top to bottom, the stirring linkage mechanism including an impeller mounted on a stirring shaft and a stirring frame cooperating with the stirring shaft.
[0008] In some embodiments, the first sensor is a pressure sensor, which is used to detect pressure values in the main tank and the emergency tank at multiple stages, and to issue an early warning signal based on pressure change values.
[0009] In some embodiments, 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 to issue an early warning signal based on the temperature change value.
[0010] In some embodiments, support frames are provided on the sides of the main tank and the emergency tank. These support frames are vertical, extending upwards from the back of the main tank and the emergency tank respectively, and are fixed to the upper and lower sides of the main tank and the emergency tank respectively. This invention ensures stable support for the main tank and the emergency tank through the structure of the support frames.
[0011] In some embodiments, the stirring frame is arranged in a staggered double U-shape with the opening facing downwards. Its central portion is connected to the stirring spindle via a bushing, and its sides abut against the side walls of the main tank and the emergency tank, respectively. This invention, through the staggered double U-shape arrangement of the stirring frame, ensures thorough mixing of the culture medium within the main tank and the emergency tank.
[0012] In some embodiments, the stirring linkage mechanism operates synchronously through the connecting pipeline between the main tank and the emergency tank, driving the culture medium in the main tank and the emergency tank to be stirred synchronously.
[0013] In some embodiments, when the main tank issues a warning signal, the solenoid valve on the connecting pipeline opens, transferring the culture medium from the main tank to the emergency tank; when the emergency tank issues a warning signal, the bottom drain valve opens. This invention, by adding a solenoid valve and a drain valve, enables the transfer or discharge of culture medium between the main tank and the emergency tank in case of a malfunction.
[0014] A second aspect of the present invention provides a method for predicting multi-stage fermentation failures in selenium-enriched beer fermentation tanks.
[0015] A method for predicting multi-stage fermentation failures in a selenium-enriched beer fermentation tank, applied to the multi-stage fermentation failure detection device for the selenium-enriched beer fermentation tank described in the first aspect, includes:
[0016] Step S1: Normal fermentation stage in the main tank: The culture medium in the main tank is in normal working condition, and the stirring spindle fully stirs the culture medium through the stirring linkage mechanism; the first and second sensors continuously detect the pressure and temperature values in the main tank to ensure stable fermentation conditions;
[0017] Step S2: Main Tank Fault Handling Stage: When the first or second sensor detects a fault in the main tank, the solenoid valve automatically opens the connecting pipeline, lowering the culture medium to the emergency tank below; after the fault is terminated, the following two situations may occur:
[0018] Scenario 1: Some culture media remain in the main tank, while others are located in the emergency tank;
[0019] Scenario 2: All the culture medium remains in the emergency tank;
[0020] The stirring linkage mechanism simultaneously stirs the culture medium in both tanks;
[0021] Step S3: Emergency Tank Failure Handling Stage: The first and second sensors synchronously detect the status of the emergency tank. When the emergency tank malfunctions, the bottom discharge valve is automatically opened.
[0022] Furthermore, both the first sensor and the second sensor are connected to a control mechanism, which includes the following modules:
[0023] The information processing module is used to receive information from the first sensor and the second sensor, and summarize it according to historical data to obtain the range of pressure change value and temperature change value.
[0024] The fault prediction module is used to predict the location of the fault based on the sudden changes in pressure and temperature in the tank.
[0025] The anomaly warning module is used to issue warning signals based on the results of the fault prediction module;
[0026] The linkage execution module is used to control the opening of the solenoid valve or the discharge valve.
[0027] This invention achieves fault prediction and early warning, as well as linkage control of solenoid valves or discharge valves, through the information processing module, fault prediction module, abnormal early warning module and linkage execution module in the control mechanism.
[0028] Furthermore, the control mechanism is also used to construct an Elman neural network model, and to train the Elman neural network model on the detection data of the first and second sensors and historical fault location information; after training, the trained Elman neural network model is used to solve the problem based on the real-time data detected by the first and second sensors to predict the fault location.
[0029] Compared with the prior art, the beneficial effects of the present invention are:
[0030] This invention provides a multi-stage fault detection device for selenium-enriched beer fermentation tanks. The vertically designed tank maximizes space utilization while maintaining structural stability. A pressure-resistant concave surface enhances the tank's pressure resistance, ensuring its integrity even under high pressure. First and second sensors are installed at the top of the main tank and emergency tank to monitor key parameters during fermentation, such as pressure and temperature, in real time. Data collected by these sensors allows for timely detection and handling of abnormalities, ensuring product quality and production efficiency. A stirring shaft and linkage mechanism ensure thorough mixing of the fermentation liquid within the tank. The impeller and stirring frame on the main shaft work together to generate a strong stirring effect while avoiding excessive wear or damage to the tank. The fermentation tank is divided into an upper main tank and a lower emergency tank. In the event of a malfunction in the main tank, a solenoid valve transfers the fermentation liquid to the emergency tank, preventing production interruptions and product quality damage. This also facilitates fault detection and repair, reducing production risks and costs. By optimizing the tank structure, stirring mechanism, and sensor configuration, overall fermentation efficiency is improved, while energy and resource consumption are reduced.
[0031] This invention utilizes a vertically designed selenium-enriched beer fermentation tank with an optimized tank structure, combined with a stirring spindle and a stirring linkage mechanism, to ensure that the fermentation liquid is fully stirred and mixed within the tank. Simultaneously, sensors monitor the temperature and pressure during the fermentation process in real time, promptly identifying and addressing any abnormalities, thereby effectively improving the stability of the selenium-enriched beer fermentation process.
[0032] This invention, by adding emergency handling mechanisms such as emergency tanks, solenoid valves, and discharge valves, can quickly transfer or discharge the culture medium in the event of a failure, avoiding production interruption and product quality damage, and reducing production risks and costs.
[0033] This invention uses an Elman neural network model to predict and warn of failures that occur during the fermentation process. Attached Figure Description
[0034] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.
[0035] Figure 1 This invention illustrates the structure of a multi-stage fermentation fault detection device for selenium-enriched beer fermentation tanks.
[0036] Figure 2 This is a structural diagram of the stirring linkage mechanism shown in this invention;
[0037] Figure 3This is a flowchart of the fault prediction method for a multi-stage fault detection device in a selenium-enriched beer fermentation tank, as shown in this invention.
[0038] Among them, 1. Main tank, 11. Stirring main shaft, 12. Connecting pipeline, 13. First sensor, 14. Second sensor, 15. Stirring linkage mechanism, 16. Stirring frame, 2. Emergency tank, 3. Support frame. Detailed Implementation
[0039] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0040] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.
[0041] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.
[0042] Example 1
[0043] like Figure 1 As shown, this embodiment provides a multi-stage fault detection device for a selenium-enriched beer fermentation tank, including: a vertically arranged selenium-enriched beer fermentation tank, which is divided into an upper main tank 1, a lower emergency tank 2, and a support frame 3 located on the sides of the main tank 1 and the emergency tank 2. The main tank 1 and the emergency tank 2 are both rectangular tanks with pressure-resistant concave surfaces on their sides and a first sensor 13 and a second sensor 14 for detecting the fermentation of selenium-enriched beer on the top. A stirring shaft 11 is provided on the top of the main tank 1, and a stirring linkage mechanism 15 is provided at the bottom of the stirring shaft 11. The stirring linkage mechanism 15 runs through the main tank 1 and the emergency tank 2 from top to bottom. The stirring linkage mechanism 15 includes an impeller mounted on the stirring shaft 11 and a stirring frame 16 that cooperates with the stirring shaft 11.
[0044] like Figure 1 and Figure 2As shown, this technical solution enables fault detection and prediction during the fermentation process of selenium-enriched beer. Specifically, the vertically arranged selenium-enriched beer fermentation tank maximizes space utilization while maintaining structural stability; the pressure-resistant concave surface enhances the tank's pressure resistance, ensuring its integrity even under high pressure; a first sensor 13 and a second sensor 14 are installed on the top of the main tank 1 and the emergency tank 2 to monitor key parameters during fermentation, such as pressure and temperature, in real time. Data collected by these sensors allows for timely detection and handling of abnormalities during fermentation, thereby ensuring product quality and production efficiency; the stirring shaft 11 and the stirring linkage mechanism 15 ensure the fermentation liquid... The mixture is thoroughly stirred and mixed within the tank. The impeller on the stirring shaft 11 and the stirring frame 16 work together to produce a strong stirring effect while avoiding excessive wear or damage to the tank. The fermentation tank is divided into an upper main tank 1 and a lower emergency tank 2. In the event of a malfunction in the main tank 1, the fermentation liquid is transferred to the emergency tank 2 via a solenoid valve, thereby preventing production interruption and product quality damage. It also facilitates 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.
[0045] In addition, the multi-stage fermentation fault detection device for selenium-enriched beer fermentation tank proposed according to the present invention also has the following additional technical features:
[0046] According to one embodiment of the present invention, the first sensor 13 is a pressure sensor, which is used to detect the pressure values of the main tank 1 and the emergency tank 2 at multiple stages, and issue an early warning signal based on the pressure change value.
[0047] This technical solution uses pressure sensors to detect the pressure values of the main tank 1 and the emergency tank 2 at multiple stages, and issues early warning signals based on sudden pressure changes.
[0048] According to one embodiment of the present invention, the second sensor 14 is a temperature sensor, which is used to detect the temperature values of the main tank 1 and the emergency tank 2 at multiple stages, and issue an early warning signal based on the temperature change value.
[0049] This technical solution uses temperature sensors to detect the temperature values of the main tank 1 and the emergency tank 2 at multiple stages, and issues an early warning signal based on sudden temperature changes.
[0050] According to one embodiment of the present invention, the support frame 3 has a vertical structure, extends upward from the back of the main tank 1 and the emergency tank 2 respectively, and is fixed to the upper and lower sides of the main tank 1 and the emergency tank 2 respectively.
[0051] This technical solution ensures stable support for the main tank 1 and the emergency tank 2 through the structure of the support frame 3.
[0052] According to one embodiment of the present invention, the stirring frame 16 is arranged in an alternating double U-shape with the opening facing downwards, the middle part of which is connected to the stirring main shaft 11 through a bushing, and the sides of which respectively abut against the four edges of the main tank 1 and the emergency tank 2.
[0053] This technical solution ensures that the culture medium is fully stirred in the main tank 1 and the emergency tank 2 by using the staggered double U-shaped arrangement of the stirring frame 16.
[0054] According to one embodiment of the present invention, the stirring linkage mechanism 15 operates synchronously through the connecting pipe 12 between the main tank 1 and the emergency tank 2, thereby driving the culture medium in the main tank 1 and the emergency tank 2 to be stirred synchronously.
[0055] This technical solution achieves synchronous stirring of the culture medium in the main tank 1 and the emergency tank 2 through the stirring linkage mechanism 15.
[0056] According to one embodiment of the present invention, when the main tank 1 issues a warning signal, the solenoid valve on the connecting pipeline 12 opens, and the culture medium in the main tank 1 is lowered into the emergency tank 2; when the emergency tank 2 issues a warning signal, the discharge valve at the bottom opens.
[0057] This technical solution enables the transfer or discharge of culture medium between the main tank 1 and the emergency tank 2 in the event of a malfunction by adding a solenoid valve and a discharge valve.
[0058] Example 2
[0059] Based on Example 1, such as Figure 3 As shown, this embodiment provides a fault prediction method, including the following steps:
[0060] S1: Normal fermentation stage of the main tank: The culture medium in the main tank 1 is in normal working condition, and the stirring shaft 11 stirs the culture medium thoroughly 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;
[0061] S2: Main tank failure handling stage: When the first sensor 13 or the second sensor 14 detects a failure in the main tank 1, the solenoid valve automatically opens the connecting pipe 12, and the culture medium is lowered into the emergency tank 2 below; after the failure is terminated, the following two situations may occur:
[0062] Scenario 1: Some culture media are still located in the main tank 1, while some culture media are located in the emergency tank 2;
[0063] Scenario 2: All the culture medium remains in emergency tank 2;
[0064] At this time, the stirring linkage mechanism 15 simultaneously stirs the culture medium in both tanks.
[0065] S3: Emergency tank failure handling stage: The first sensor 13 and the second sensor 14 simultaneously detect the status of the emergency tank 2. When the emergency tank 2 fails, the bottom discharge valve is automatically opened to allow the culture medium to be discharged in time, so as to avoid interfering with the fermentation process.
[0066] This technical solution achieves refined management and fault prevention of the fermentation process. Specifically, in stage S1, it ensures that the culture medium in the main tank 1 is fully stirred during the normal fermentation stage, and continuously monitors the pressure and temperature values inside the main tank 1 using the first sensor 13 and the second sensor 14 to maintain stable fermentation conditions. When the main tank 1 malfunctions, in stage S2, it automatically transfers the culture medium to the emergency tank 2, and flexibly adjusts the stirring linkage mechanism 15 according to the situation after the fault ends to ensure that the culture medium in both tanks is fully stirred. Finally, if the emergency tank 2 also malfunctions, in stage S3, it uses the first sensor 13 and the second sensor 14 to simultaneously detect the status of the emergency tank 2, and automatically opens the discharge valve when a fault is detected to discharge the culture medium in a timely manner to prevent the fault from interfering with the fermentation process. The entire method has a clear logic and effectively improves the stability and reliability of the selenium-enriched beer fermentation process through real-time monitoring, fault early warning, and emergency handling.
[0067] According to one embodiment of the present invention, both the first sensor 13 and the second sensor 14 are connected to a control mechanism, and the control mechanism includes the following modules:
[0068] The information processing module is used to receive information from the first sensor 13 and the second sensor 14, and summarize it according to historical data to obtain the range of pressure change value and temperature change value.
[0069] The fault prediction module is used to predict the location of the fault based on the sudden changes in pressure and temperature in the tank.
[0070] The anomaly warning module is used to issue warning signals based on the results of the fault prediction module, so as to resolve the fault in a timely manner.
[0071] The linkage execution module is used to open the solenoid valve or the discharge valve in a coordinated manner to prevent the problematic culture medium from continuing to have an impact.
[0072] This technical solution achieves fault prediction and early warning, as well as linkage control of solenoid valves or discharge valves, through the information processing module, fault prediction module, abnormal early warning module and linkage execution module in the control mechanism.
[0073] According to one embodiment of the present invention, the control mechanism further constructs an Elman neural network model. The Elman neural network model is trained by the detection data of the first sensor 13 and the second sensor 14 and the historical fault location information to obtain a sample set. After the training is completed, the Elman neural network model is used to solve the problem based on the real-time detection data of the first sensor 13 and the second sensor 14 to obtain the predicted fault location and inform the maintenance personnel in advance to prepare.
[0074] Specifically, it includes the following steps:
[0075] Step 1: Data Preparation: Acquire real-time pressure and temperature abrupt change 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 in each dimension are on the same scale; convert the time series data into a format suitable for Elman neural network input, such as using sliding window technology to generate the input sequence;
[0076] Step 2: Construct the Elman neural network model, where:
[0077] The input layer includes two neurons, which correspond to the detection data of the first sensor 13 and the second sensor 14, respectively.
[0078] Hidden layers consist of multiple hidden layers, each containing a certain number of neurons for feature extraction;
[0079] The receiving layer stores the output of the hidden layer from the previous moment and is used to provide feedback;
[0080] The output layer consists of one neuron that outputs the predicted fault location information;
[0081] Weights and biases: Randomly initialize the weights and biases in the network, and set an appropriate learning rate to control the step size of parameter updates;
[0082] Step 3: Train the Elman neural network: Calculate the outputs of the hidden layer and the output layer based on the detection values of the first sensor 13 and the second sensor 14 and the current weights; simultaneously pass the output of the hidden layer to the receiving layer; calculate the error of the output layer using historical fault location information as labels; calculate the gradients of each parameter in the network using the BPTT algorithm; adjust the weights between the hidden layer and the input layer considering the feedback from the receiving layer; update the weights and biases in the network based on the calculated gradients and learning rate until the preset number of iterations is reached or the error converges to a threshold.
[0083] Step 4: Model Evaluation and Optimization: Evaluate the model's performance, such as accuracy, using a validation dataset; adjust the network structure and learning rate based on the evaluation results; try different network structures, activation functions, regularization methods, etc., to improve the model's generalization ability;
[0084] Step 5: Real-time prediction and fault warning: Acquire detection data from 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; determine whether there is a potential fault risk based on the prediction results; if the fault location is predicted, notify the maintenance personnel in advance to prepare.
[0085] This technical solution improves the accuracy and timeliness of fault prediction by constructing an Elman neural network model.
[0086] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. A multi-stage fault detection device for selenium-enriched beer fermentation tanks, characterized in that, include: A vertically mounted selenium-enriched beer fermentation tank includes an upper main tank and a lower emergency tank. A connecting pipeline is provided between the main tank and the emergency tank. The top of the main tank is equipped with a first sensor, a second sensor, and a stirring linkage mechanism. The top of the emergency tank is equipped with a first sensor and a second sensor. The stirring linkage mechanism runs through the main tank and the emergency tank from top to bottom. The stirring linkage mechanism includes an impeller mounted on a stirring shaft and a stirring frame that cooperates with the stirring shaft. If the main tank issues a warning signal, the solenoid valve on the connecting pipeline will open, allowing the culture medium in the main tank to be lowered into the emergency tank; if the emergency tank issues a warning signal, the drain valve at the bottom will open.
2. The multi-stage fault detection device for selenium-enriched beer fermentation tanks 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 to issue an early warning signal based on the pressure change value.
3. The multi-stage fault detection device for selenium-enriched beer fermentation tanks 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 to issue an early warning signal based on the temperature change value.
4. The multi-stage fault detection device for selenium-enriched beer fermentation tanks according to claim 1, characterized in that, The main tank and the emergency tank are provided with support frames on their sides. The support frames are vertical structures that extend upward from the back of the main tank and the emergency tank, respectively, and are fixed to the upper and lower sides of the main tank and the emergency tank, respectively.
5. The multi-stage fault detection device for selenium-enriched beer fermentation tanks according to claim 1, characterized in that, The stirring frame is arranged in an alternating double U-shape with the opening facing downwards. Its middle part is connected to the stirring main shaft through a bushing, and its sides abut against the side walls of the main tank and the emergency tank, respectively.
6. The multi-stage fermentation fault detection device for selenium-enriched beer fermentation tank according to claim 1, characterized in that, The stirring linkage mechanism operates synchronously through the connecting pipeline between the main tank and the emergency tank, driving the culture medium in the main tank and the emergency tank to be stirred synchronously.
7. A method for predicting multi-stage fermentation failures in selenium-enriched beer fermentation tanks, characterized in that, The multi-stage fermentation fault detection device for selenium-enriched beer fermentation tanks according to any one of claims 1-6 comprises: Step S1: Normal fermentation stage in the main tank: The culture medium in the main tank is in normal working condition, and the stirring spindle fully stirs the culture medium through the stirring linkage mechanism; the first and second sensors 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 or second sensor detects a fault in the main tank, the solenoid valve automatically opens the connecting pipeline, lowering the culture medium to the emergency tank below; after the fault is terminated, the following two situations may occur: Scenario 1: Some culture media remain in the main tank, while others are located in the emergency tank; Scenario 2: All the culture medium remains in the emergency tank; The stirring linkage mechanism simultaneously stirs the culture medium in both tanks; Step S3: Emergency Tank Failure Handling Stage: The first and second sensors synchronously detect the status of the emergency tank. When the emergency tank malfunctions, the bottom discharge valve is automatically opened.
8. The method for predicting multi-stage fermentation failures in selenium-enriched beer fermentation tanks according to claim 7, characterized in that, Both the first and second sensors are connected to a control mechanism, which includes the following modules: The information processing module is used to receive information from the first sensor and the second sensor, and summarize it according to historical data to obtain the range of pressure change value and temperature change value. The fault prediction module is used to predict the location of the fault based on the sudden changes in pressure and temperature in the tank. The anomaly warning module is used to issue warning signals based on 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.
9. The multi-stage failure prediction method for selenium-enriched beer fermentation tanks according to claim 8, characterized in that, The control mechanism is also used to construct an Elman neural network model, and to train the Elman neural network model on the detection data of the first and second sensors and historical fault location information. After training, the fault location is predicted by using the trained Elman neural network model based on the real-time data detected by the first and second sensors.
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