Fermentation equipment and fermentation process for probiotic high-activity enzyme freeze-dried powder

Abstract

The invention relates to the technical field of data processing in the preparation process of probiotic high-activity enzyme freeze-dried powder, provides probiotic high-activity enzyme freeze-dried powder fermentation equipment and a fermentation process, and aims to solve the problem of inaccurate data caused by reduction of sensor precision in the fermentation process. Through integration of data acquisition, task generation, equipment execution, data processing, data classification, error range determination, sensor parameter adjustment and other modules, comprehensive monitoring of the fermentation process and intelligent adjustment of sensor configuration are realized, fermentation equipment control parameters are optimized by using a random forest model, a quality database is established to trace and analyze quality problems, and the intelligent control of the fermentation equipment is realized. The sensor configuration is intelligently adjusted according to historical data and real-time data, and the accuracy of sensor data acquisition is improved, so that the fermentation efficiency and the product quality stability are improved.

Description

Technical Field

[0001] The invention relates to the technical field of data processing in the preparation process of probiotic high-activity enzyme freeze-dried powder, and in particular to a probiotic high-activity enzyme freeze-dried powder fermentation device and a fermentation process. Background Art

[0002] Probiotic high-activity enzyme freeze-dried powder is fermented through a production process. The original strain is taken out from the low-temperature liquid nitrogen strain library, and the strain transfer and fermentation are carried out under sterile conditions in a specific culture medium to optimize the fermentation environment. The fermented probiotic bacteria are concentrated by centrifugation, mixed with antifreeze, and frozen into small balls in liquid nitrogen. Next, the small balls are freeze-dried in a vacuum environment to remove moisture by sublimation and enhance the activity of probiotics. The freeze-drying process is carried out at a temperature below 0°C, which effectively protects the activity of heat-sensitive substances such as probiotics. Finally, after grinding, sieving, and adding excipients, standardized probiotic high-activity enzyme freeze-dried powder is made. Probiotic high-activity enzyme freeze-dried powder can enter the human intestine alive, and has significant effects on regulating intestinal flora, promoting digestion and absorption, and enhancing immunity.

[0003] In the fermentation process of probiotic high-activity enzyme freeze-dried powder, data processing is a link to improve product quality and efficiency. From the early stage of fermentation, it is necessary to use precise biosensors to monitor the pH value, temperature, dissolved oxygen concentration and nutrient consumption parameters in the fermentation liquid in real time. The data is collected and analyzed in real time through an automated control system to accurately control the fermentation conditions. The control of fermentation conditions includes adjusting the stirring speed, ventilation volume and feeding strategy to optimize the growth environment of probiotics. At the same time, high-throughput sequencing technology is used to detect changes in the structure of the bacterial community during the fermentation process. During the freeze-drying stage, it is also necessary to monitor the freezing rate, vacuum degree and sublimation temperature, and predict the optimal freeze-drying curve through mathematical modeling and algorithms to reduce activity loss. The data are recorded and stored in the database.

[0004] There are the following technical pain points in the fermentation process of probiotic high-activity enzyme freeze-dried powder. During the fermentation process of probiotic high-activity enzyme freeze-dried powder, it is necessary to continuously and dynamically monitor the data of probiotic fermentation, and accurately monitor and record various parameters in real time. Due to the complexity of the fermentation environment, the complexity of the fermentation environment includes high temperature, high humidity, and changes in pH, which leads to a decrease in sensor accuracy. After the sensor accuracy decreases, the collected data will be inaccurate. When the data of the probiotic high-activity enzyme freeze-dried powder fermentation process is inaccurate, the probiotic high-activity enzyme freeze-dried powder fermentation equipment will not be able to complete the probiotic high-activity enzyme freeze-dried powder fermentation according to the preset production process standards, resulting in a decrease in the quality of the probiotic high-activity enzyme freeze-dried powder. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a probiotic high-activity enzyme freeze-dried powder fermentation equipment and a fermentation process to solve the problem that the data collected will be inaccurate after the sensor accuracy decreases. When the data of the probiotic high-activity enzyme freeze-dried powder fermentation process is inaccurate, the probiotic high-activity enzyme freeze-dried powder fermentation equipment will not be able to complete the probiotic high-activity enzyme freeze-dried powder fermentation according to the preset production process standards, resulting in a decrease in the quality of the probiotic high-activity enzyme freeze-dried powder.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: In a first aspect, the present invention provides a probiotic high-activity enzyme freeze-dried powder fermentation device, comprising: The data acquisition module acquires the fermentation data of the probiotic high-activity enzyme freeze-dried powder, which includes real-time parameters of the fermentation equipment, fermentation environment parameters, sensor parameter data, flora structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data; The task generation module receives the probiotic high-activity enzyme freeze-dried powder fermentation task, uses the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, obtains the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data, and sends the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data to the equipment execution module; Equipment execution module, which executes the control data of probiotic high-activity enzyme freeze-dried powder fermentation equipment; The data processing module and the equipment execution module execute the control data process of the probiotic high-activity enzyme freeze-dried powder fermentation equipment, record the time information from the start of the probiotic high-activity enzyme freeze-dried powder fermentation equipment to the production of the probiotic high-activity enzyme freeze-dried powder, obtain the production time period of the probiotic high-activity enzyme freeze-dried powder, conduct quality inspection on the probiotic high-activity enzyme freeze-dried powder through the inspection equipment, obtain the quality inspection result of the probiotic high-activity enzyme freeze-dried powder, retrieve the probiotic high-activity enzyme freeze-dried powder production time period data corresponding to the probiotic high-activity enzyme freeze-dried powder quality inspection result, obtain the probiotic high-activity enzyme freeze-dried powder cycle data, and establish a probiotic high-activity enzyme freeze-dried powder quality database; a data grouping module, collecting the quality test results of the probiotic high-activity enzyme freeze-dried powder, storing the quality test results of the probiotic high-activity enzyme freeze-dried powder, obtaining a database of the quality test results of the probiotic high-activity enzyme freeze-dried powder, randomly partitioning the quality test results of the probiotic high-activity enzyme freeze-dried powder in the database of the quality test results of the probiotic high-activity enzyme freeze-dried powder, obtaining a first partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, a second partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, a third partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, and a fourth partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, and using an aggregation function to screen out the quality test results of the probiotic high-activity enzyme freeze-dried powder from the first partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, the second partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, the third partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, and the fourth partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder; The error range determination module receives the quality standard of the probiotic high-activity enzyme freeze-dried powder, compares the quality test result of the probiotic high-activity enzyme freeze-dried powder to be processed with the quality standard of the probiotic high-activity enzyme freeze-dried powder, obtains the qualified quality data of the probiotic high-activity enzyme freeze-dried powder to be processed, retrieves the sensor parameter data corresponding to the qualified quality data of the probiotic high-activity enzyme freeze-dried powder to be processed from the probiotic high-activity enzyme freeze-dried powder quality database, and obtains the sensor parameter data of the qualified quality product; The sensor parameter adjustment module retrieves the sensor parameter data corresponding to the quality test results of the probiotic high-activity enzyme freeze-dried powder to be processed from the probiotic high-activity enzyme freeze-dried powder quality database, obtains the sensor parameter data to be compared, compares the sensor parameter data to be compared with the sensor parameter data of the quality-qualified product, obtains the sensor parameter error, reconfigures the parameters of the sensor corresponding to the sensor parameter error, obtains the sensor with adjusted parameter configuration, and uses the sensor with adjusted parameter configuration to collect data on the fermentation of the probiotic high-activity enzyme freeze-dried powder.

[0007] Furthermore, in the probiotic high-activity enzyme freeze-dried powder fermentation equipment of the present invention, the task generation module is also used for: Use the probiotic high-activity enzyme freeze-dried powder fermentation data to train the random forest model, obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, accept the probiotic high-activity enzyme freeze-dried powder fermentation task, substitute the probiotic high-activity enzyme freeze-dried powder fermentation task into the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, and obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data includes the fermentation equipment execution parameters, sensor configuration data and freeze-drying stage execution parameters. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data is sent to the equipment execution module.

[0008] Furthermore, in the probiotic high-activity enzyme freeze-dried powder fermentation equipment of the present invention, the data grouping module is also used for: A correspondence is established between the quality test results of probiotic high-activity enzyme freeze-dried powder and the data within the cycle of probiotic high-activity enzyme freeze-dried powder to obtain a probiotic high-activity enzyme freeze-dried powder quality database, which includes real-time parameters of fermentation equipment, fermentation environment parameters, sensor parameter data, bacterial community structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data within the quality production cycle of probiotic high-activity enzyme freeze-dried powder.

[0009] Furthermore, in the probiotic high-activity enzyme freeze-dried powder fermentation equipment of the present invention, the sensor parameter adjustment module is also used for: If the sensor parameter error is greater than the preset error range, the sensor of the parameter to be adjusted is obtained, the identity information of the sensor of the parameter to be adjusted is retrieved, and the historical parameter data of the sensor is matched in the probiotic high-activity enzyme freeze-dried powder quality database according to the identity information of the sensor of the parameter to be adjusted to obtain the sensor historical data of the parameter to be adjusted, and the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is retrieved in the probiotic high-activity enzyme freeze-dried powder quality database based on time to obtain the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted. The probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is obtained, and the random forest model is trained using the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted and the sensor historical data of the parameter to be adjusted to obtain a sensor configuration simulation model, collect the real-time configuration of the sensor of the parameter to be adjusted, substitute the real-time configuration of the sensor of the parameter to be adjusted into the sensor configuration simulation model to obtain sensor configuration simulation data, load the sensor of the parameter to be adjusted with the sensor configuration simulation data, obtain the sensor after the parameter configuration is adjusted, and use the sensor after the parameter configuration is adjusted to collect data for the fermentation of probiotic high-activity enzyme freeze-dried powder.

[0010] In a second aspect, the present invention provides a probiotic high-activity enzyme freeze-dried powder fermentation process, which is applied to the probiotic high-activity enzyme freeze-dried powder fermentation equipment, including an execution device end, a controller end and a background control end, the controller end establishes communication connections with the execution device end and the background control end respectively, the background control end sends a probiotic high-activity enzyme freeze-dried powder fermentation task and a probiotic high-activity enzyme freeze-dried powder quality standard to the controller end, the controller end generates probiotic high-activity enzyme freeze-dried powder fermentation equipment control data according to the probiotic high-activity enzyme freeze-dried powder fermentation task, the controller end performs data collection according to the execution device end after executing the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data, obtains a sensor after adjusting the parameter configuration, and uses the sensor after adjusting the parameter configuration to collect data from the execution device end, the controller end includes: Obtain the fermentation data of probiotic high-activity enzyme freeze-dried powder, which includes real-time parameters of fermentation equipment, fermentation environment parameters, sensor parameter data, flora structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data; Receive the probiotic high-activity enzyme freeze-dried powder fermentation task sent by the background control end, and use the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model to obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data, and send the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data to the execution device end; The execution device executes the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data; In the process of executing the control data of the probiotic high-activity enzyme freeze-dried powder fermentation equipment on the execution device side, the time information from the start of the probiotic high-activity enzyme freeze-dried powder fermentation equipment to the production of the probiotic high-activity enzyme freeze-dried powder is recorded to obtain the production time period of the probiotic high-activity enzyme freeze-dried powder, the quality of the probiotic high-activity enzyme freeze-dried powder is tested by the testing equipment, and the quality test results of the probiotic high-activity enzyme freeze-dried powder are obtained. The probiotic high-activity enzyme freeze-dried powder production time period data corresponding to the probiotic high-activity enzyme freeze-dried powder quality test results are retrieved to obtain the probiotic high-activity enzyme freeze-dried powder cycle data, and the probiotic high-activity enzyme freeze-dried powder quality database is established; The quality test results of probiotic high-activity enzyme freeze-dried powder are collected, and the quality test results of probiotic high-activity enzyme freeze-dried powder are stored to obtain a probiotic high-activity enzyme freeze-dried powder quality test result database, and the quality test results of probiotic high-activity enzyme freeze-dried powder are randomly partitioned in the probiotic high-activity enzyme freeze-dried powder quality test result database to obtain a first partition of probiotic high-activity enzyme freeze-dried powder quality test results, a second partition of probiotic high-activity enzyme freeze-dried powder quality test results, a third partition of probiotic high-activity enzyme freeze-dried powder quality test results, and a fourth partition of probiotic high-activity enzyme freeze-dried powder quality test results, and an aggregation function is used to screen out the probiotic high-activity enzyme freeze-dried powder quality test results to be processed from the first partition of probiotic high-activity enzyme freeze-dried powder quality test results, the second partition of probiotic high-activity enzyme freeze-dried powder quality test results, the third partition of probiotic high-activity enzyme freeze-dried powder quality test results, and the fourth partition of probiotic high-activity enzyme freeze-dried powder quality test results; Receive the quality standard of probiotic high-activity enzyme freeze-dried powder sent by the background control end, compare the quality test result of the probiotic high-activity enzyme freeze-dried powder to be processed with the quality standard of the probiotic high-activity enzyme freeze-dried powder, obtain the quality qualified data of the probiotic high-activity enzyme freeze-dried powder to be processed, retrieve the sensor parameter data corresponding to the quality qualified data of the probiotic high-activity enzyme freeze-dried powder to be processed in the probiotic high-activity enzyme freeze-dried powder quality database, and obtain the sensor parameter data of the quality qualified product. The sensor parameter data corresponding to the quality test results of the probiotic high-activity enzyme freeze-dried powder to be processed are retrieved from the probiotic high-activity enzyme freeze-dried powder quality database to obtain the sensor parameter data to be compared, and the sensor parameter data to be compared is compared with the sensor parameter data of the qualified product to obtain the sensor parameter error, and the sensor corresponding to the sensor parameter error is reconfigured to obtain the sensor with adjusted parameter configuration, and the sensor with adjusted parameter configuration is used to collect data on the fermentation of the probiotic high-activity enzyme freeze-dried powder.

[0011] Furthermore, the probiotic high-activity enzyme freeze-dried powder fermentation process of the present invention also includes: Use the probiotic high-activity enzyme freeze-dried powder fermentation data to train the random forest model, obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, accept the probiotic high-activity enzyme freeze-dried powder fermentation task, substitute the probiotic high-activity enzyme freeze-dried powder fermentation task into the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, and obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data includes the fermentation equipment execution parameters, sensor configuration data and freeze-drying stage execution parameters. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data is sent to the equipment execution module.

[0012] Furthermore, the probiotic high-activity enzyme freeze-dried powder fermentation process of the present invention also includes: A correspondence is established between the quality test results of probiotic high-activity enzyme freeze-dried powder and the data within the cycle of probiotic high-activity enzyme freeze-dried powder to obtain a probiotic high-activity enzyme freeze-dried powder quality database, which includes real-time parameters of fermentation equipment, fermentation environment parameters, sensor parameter data, bacterial community structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data within the quality production cycle of probiotic high-activity enzyme freeze-dried powder.

[0013] Furthermore, the probiotic high-activity enzyme freeze-dried powder fermentation process of the present invention also includes: If the sensor parameter error is greater than the preset error range, the sensor of the parameter to be adjusted is obtained, the identity information of the sensor of the parameter to be adjusted is retrieved, and the historical parameter data of the sensor is matched in the probiotic high-activity enzyme freeze-dried powder quality database according to the identity information of the sensor of the parameter to be adjusted to obtain the sensor historical data of the parameter to be adjusted, and the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is retrieved in the probiotic high-activity enzyme freeze-dried powder quality database based on time to obtain the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted. The probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is obtained, and the random forest model is trained using the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted and the sensor historical data of the parameter to be adjusted to obtain a sensor configuration simulation model, collect the real-time configuration of the sensor of the parameter to be adjusted, substitute the real-time configuration of the sensor of the parameter to be adjusted into the sensor configuration simulation model to obtain sensor configuration simulation data, load the sensor of the parameter to be adjusted with the sensor configuration simulation data, obtain the sensor after the parameter configuration is adjusted, and use the sensor after the parameter configuration is adjusted to collect data for the fermentation of probiotic high-activity enzyme freeze-dried powder.

[0014] Beneficial effects of the present invention: The present invention improves the high-precision operation of the sensor in a complex fermentation environment by dynamically monitoring and adjusting sensor parameters, thereby improving the accuracy of data collection during the fermentation process, helping to avoid fermentation process errors caused by inaccurate data, and improving the controllability and stability of the entire fermentation process.

[0015] The fermentation data was trained using the random forest model to obtain an optimized fermentation equipment control model. The fermentation equipment control model can automatically generate the best equipment control data according to the specific fermentation tasks and requirements, thereby optimizing the fermentation process parameters, stirring speed, ventilation volume, feeding strategy, etc., and improving the fermentation efficiency and product quality. By establishing a comprehensive quality database and associating quality inspection results with fermentation process data, it is helpful to trace and analyze the key factors affecting product quality, and then take targeted measures to improve it, thereby improving the stability of product quality.

[0016] The present invention realizes intelligent and automated control of the fermentation process of probiotic high-activity enzyme freeze-dried powder by integrating multiple modules such as data acquisition, task generation, equipment execution, data processing, data classification, error range determination and sensor parameter adjustment, thereby reducing the need for manual intervention, improving production efficiency and reducing the possibility of human error.

[0017] By precisely controlling fermentation conditions and optimizing process parameters, the present invention helps to reduce the waste of raw materials and energy and lower production costs. At the same time, due to the use of intelligent monitoring and adjustment mechanisms, potential problems in the production process can be discovered and corrected in a timely manner, thereby reducing production risks.

[0018] The implementation and application of the present invention promotes the innovation and development of probiotic high-activity enzyme freeze-dried powder fermentation technology, and provides strong support for the upgrading and transformation of related industries. By continuously optimizing and improving fermentation processes and equipment control technologies, it helps to enhance the competitiveness and sustainable development capabilities of the entire industry.

[0019] In summary, the present invention provides technical support for the production of probiotic high-activity enzyme freeze-dried powder by improving the accuracy of sensor data, optimizing the fermentation process, improving the stability of product quality, improving the level of intelligence and automation, reducing production costs and risks, and promoting technological innovation and industrial upgrading. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on the drawings without paying any creative labor.

[0021] Figure 1 This is a schematic diagram of the functional modules in the probiotic high-activity enzyme freeze-dried powder fermentation equipment provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0023] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0024] In a first aspect, the present invention provides a probiotic high-activity enzyme freeze-dried powder fermentation device, wherein the functional modules in the probiotic high-activity enzyme freeze-dried powder fermentation device are used to control the operation of the probiotic high-activity enzyme freeze-dried powder fermentation device, and the functional modules in the probiotic high-activity enzyme freeze-dried powder fermentation device include: The data acquisition module acquires the fermentation data of the probiotic high-activity enzyme freeze-dried powder, which includes real-time parameters of the fermentation equipment, fermentation environment parameters, sensor parameter data, flora structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data; The data acquisition module is a probiotic high-activity enzyme freeze-dried powder fermentation equipment. Its function is to collect and organize various data related to the fermentation process, providing a basis for subsequent fermentation process control, quality monitoring and optimization. Specifically, the data acquisition module needs to obtain the following types of data: Real-time parameters of fermentation equipment: stirring speed, ventilation volume, temperature control, etc. under the current operating status of the fermentation equipment.

[0025] Fermentation environmental parameters include pH value, temperature, dissolved oxygen concentration, etc. in the fermentation tank. By continuously monitoring these environmental parameters, the fermentation conditions can be adjusted in time to optimize the growth environment of probiotics.

[0026] Sensor parameter data: Sensors are tools for monitoring the fermentation process. Sensor parameter data include configuration parameters of various sensors and sensor detection accuracy parameters.

[0027] Data on changes in microbial flora structure: By monitoring changes in microbial flora structure during fermentation using technologies such as high-throughput sequencing, we can understand the interaction between probiotics and other microorganisms, as well as the dynamic changes of probiotics during fermentation.

[0028] Freeze-drying stage parameters: During the freeze-drying stage, the parameters that need to be monitored include freezing rate, vacuum degree, sublimation temperature, etc. These parameters are crucial to ensure the activity of probiotics during the freeze-drying process.

[0029] The fermentation history data of probiotic high-activity enzyme freeze-dried powder includes the records and analysis results of previous fermentation processes.

[0030] The quality history data of probiotic high-activity enzyme freeze-dried powder includes the quality test results and analysis reports of previous products.

[0031] The task generation module receives the probiotic high-activity enzyme freeze-dried powder fermentation task, uses the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, obtains the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data, and sends the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data to the equipment execution module; The task generation module is responsible for receiving the fermentation task and generating the corresponding equipment control data according to the preset probiotic high-activity enzyme freeze-dried powder fermentation equipment control model. These data are then sent to the equipment execution module to guide the actual execution of the fermentation process.

[0032] The task generation module receives the probiotic high-activity enzyme freeze-dried powder fermentation task from the background control terminal or the user interface.

[0033] After receiving the task, the task generation module will call the pre-trained probiotic high-activity enzyme freeze-dried powder fermentation equipment control model. This model is usually built based on a large amount of historical fermentation data using machine learning or optimization algorithms, and can predict the optimal fermentation conditions and control strategies.

[0034] By inputting the parameters of the fermentation task into the control model, the task generation module can generate equipment control data, including the temperature setting, stirring speed, ventilation volume, feeding strategy of the fermentation equipment, as well as the freezing rate, vacuum degree, sublimation temperature and other parameters in the freeze-drying stage.

[0035] When the equipment control data is generated, the task generation module sends it to the equipment execution module. The equipment execution module then operates the fermentation equipment according to this data to ensure that the fermentation process is carried out according to the predetermined conditions and strategies.

[0036] The importance of the task generation module lies in its ability to automatically generate optimal equipment control data based on specific fermentation tasks and requirements. This can not only improve the automation of the fermentation process, reduce human intervention and errors, but also ensure the stability of the fermentation process, thereby improving product quality and output.

[0037] Through the close cooperation between the task generation module and the equipment execution module, the fermentation process of probiotic high-activity enzyme freeze-dried powder can be carried out more accurately and efficiently, providing guarantees for product production and quality control.

[0038] Equipment execution module, which executes the control data of probiotic high-activity enzyme freeze-dried powder fermentation equipment; The main function of the equipment execution module in the fermentation process of probiotic high-activity enzyme freeze-dried powder is to directly control various parameters of the fermentation equipment according to the fermentation equipment control data provided by the task generation module to ensure that the fermentation process is carried out in accordance with the predetermined process standards and conditions.

[0039] The equipment execution module first receives the fermentation equipment control data from the task generation module. The fermentation equipment control data includes various parameters that need to be precisely controlled during the fermentation process, such as temperature, stirring speed, ventilation volume, feeding strategy, etc., as well as the freezing rate, vacuum degree, sublimation temperature, etc. in the freeze-drying stage.

[0040] After receiving the control data, the equipment execution module will immediately parse these instructions and send them to the various subsystems or components of the fermentation equipment through the corresponding control interface or communication protocol. For example, adjust the temperature control system to set or maintain a specific fermentation temperature, adjust the stirring motor to change the stirring speed, control the ventilation valve to adjust the ventilation volume, etc.

[0041] While executing control instructions, the equipment execution module also monitors the operating status of the fermentation equipment and changes in various parameters in real time. If any abnormal situation or deviation from the predetermined parameter range is found, the equipment execution module will promptly issue an alarm or notification so that the operator can quickly take measures to adjust or intervene.

[0042] In order to facilitate subsequent analysis and traceability, the equipment execution module will also record the execution log of the entire fermentation process in detail. These logs include information such as changes in various parameters of the fermentation equipment, execution of control instructions, and records of abnormal conditions, providing valuable data support for quality control and process optimization.

[0043] By executing control data, the equipment execution module can ensure that the fermentation process is carried out under optimal conditions, thereby improving the activity, yield and quality stability of probiotics. At the same time, its real-time monitoring and feedback functions also provide the possibility of timely discovery and resolution of problems, further ensuring the smooth progress of the fermentation process and the final quality of the product.

[0044] The data processing module and the equipment execution module execute the control data process of the probiotic high-activity enzyme freeze-dried powder fermentation equipment, record the time information from the start of the probiotic high-activity enzyme freeze-dried powder fermentation equipment to the production of the probiotic high-activity enzyme freeze-dried powder, obtain the production time period of the probiotic high-activity enzyme freeze-dried powder, conduct quality inspection on the probiotic high-activity enzyme freeze-dried powder through the inspection equipment, obtain the quality inspection result of the probiotic high-activity enzyme freeze-dried powder, retrieve the probiotic high-activity enzyme freeze-dried powder production time period data corresponding to the probiotic high-activity enzyme freeze-dried powder quality inspection result, obtain the probiotic high-activity enzyme freeze-dried powder cycle data, and establish a probiotic high-activity enzyme freeze-dried powder quality database; The data processing module is responsible for collecting, collating and analyzing various data in the fermentation process of probiotic high-activity enzyme freeze-dried powder to ensure product quality and process stability. The following are the specific functions and operation procedures of the data processing module: The data processing module is responsible for recording the time information of the entire fermentation process, including the entire process from equipment startup to the production of probiotic high-activity enzyme freeze-dried powder. At the same time, the data processing module also performs quality inspection on the final product, and associates the inspection results with the corresponding time period data to establish a quality database for probiotic high-activity enzyme freeze-dried powder.

[0045] When the equipment execution module starts to execute the fermentation equipment control data, the data processing module starts to record the time. From the moment the fermentation equipment is started until the probiotic high-activity enzyme freeze-dried powder is successfully produced, the time information of the entire process is recorded in detail.

[0046] When the fermentation and freeze-drying process is completed, the data processing module triggers the quality inspection process. This usually involves using specialized testing equipment to test multiple indicators of the probiotic high-activity enzyme freeze-dried powder, such as activity, purity, stability, etc.

[0047] After the test is completed, the data processing module associates the quality test results with the previously recorded time period data. This means that the quality test results of each batch of products can be traced back to its specific production time period and fermentation conditions.

[0048] By integrating the quality inspection results and time period data of multiple batches of products, the data processing module can establish a comprehensive quality database of probiotic high-activity enzyme freeze-dried powder. The database not only contains the quality information of the product, but also records the related fermentation conditions and time information.

[0049] After the quality database is established, the data processing module can further analyze the correlation between data, such as the impact of different fermentation conditions on product quality, etc. This information is very important for subsequent process optimization and product quality control.

[0050] The data processing module records and analyzes time information, quality inspection results and other relevant data, so that companies can better understand and control the fermentation process, thereby improving product quality and stability.

[0051] a data grouping module, collecting the quality test results of the probiotic high-activity enzyme freeze-dried powder, storing the quality test results of the probiotic high-activity enzyme freeze-dried powder, obtaining a database of the quality test results of the probiotic high-activity enzyme freeze-dried powder, randomly partitioning the quality test results of the probiotic high-activity enzyme freeze-dried powder in the database of the quality test results of the probiotic high-activity enzyme freeze-dried powder, obtaining a first partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, a second partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, a third partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, and a fourth partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, and using an aggregation function to screen out the quality test results of the probiotic high-activity enzyme freeze-dried powder from the first partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, the second partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, the third partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, and the fourth partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder; The data grouping module is responsible for processing and analyzing the quality test results in the probiotic high-activity enzyme freeze-dried powder fermentation process in order to more effectively manage and optimize the fermentation process. The following are the specific functions and workflow of this module: The data grouping module is responsible for collecting the quality test results of the probiotic high-activity enzyme freeze-dried powder and storing these results in the quality test result database. Then, the module will randomly partition these results for subsequent data processing and analysis. Through the aggregation function, the data grouping module can filter out the quality test results to be processed that need to be focused on from each partition.

[0052] The data grouping module first collects the quality test results of the probiotic high-activity enzyme freeze-dried powder from the quality testing equipment or other data sources. These results may include multiple indicators, such as activity, purity, water content, etc.

[0053] The collected quality inspection results will be stored in the quality inspection result database for subsequent query and analysis.

[0054] In order to improve the efficiency and accuracy of data processing, the data grouping module will randomly partition the stored quality inspection results. The results are divided into four partitions (first partition, second partition, third partition, fourth partition), but the number of partitions can also be adjusted according to actual needs.

[0055] Random partitioning ensures that the data in each partition is representative and also helps reduce bias and errors in data processing.

[0056] Using aggregation functions, the data grouping module counts and analyzes the quality inspection results in each partition. These functions can help the module identify outliers, trends or patterns, etc.

[0057] Based on the analysis results of the aggregation function, the module will filter out those pending quality test results that need to be focused on or further processed. These results may indicate problems in the fermentation process or areas that need to be optimized.

[0058] The data grouping module can ensure the accuracy and efficiency of data processing by using random partitioning and aggregation functions. At the same time, the screened quality inspection results to be processed can provide valuable information for enterprises to guide subsequent process optimization and improvement.

[0059] The error range determination module receives the quality standard of the probiotic high-activity enzyme freeze-dried powder, compares the quality test result of the probiotic high-activity enzyme freeze-dried powder to be processed with the quality standard of the probiotic high-activity enzyme freeze-dried powder, obtains the qualified quality data of the probiotic high-activity enzyme freeze-dried powder to be processed, retrieves the sensor parameter data corresponding to the qualified quality data of the probiotic high-activity enzyme freeze-dried powder to be processed from the probiotic high-activity enzyme freeze-dried powder quality database, and obtains the sensor parameter data of the qualified quality product; The error range determination module strictly compares the product quality test results according to the established quality standards in the quality control system of probiotic high-activity enzyme freeze-dried powder, and further explores the sensor parameters closely related to the quality of qualified products. The following are the specific functions and working mechanisms of this module: The core task of the error range determination module is to receive the quality standard of the probiotic high-activity enzyme freeze-dried powder, and use this standard as a benchmark for careful comparison with the quality test results of the probiotic high-activity enzyme freeze-dried powder to be processed. Through this process, the module can accurately identify which products have reached the established standards, and then mark these data as qualified quality data.

[0060] The error range determination module first obtains the detailed quality standards of the probiotic high-activity enzyme freeze-dried powder from the relevant system or database. These standards usually cover the key quality indicators of the product and its acceptable error range.

[0061] Subsequently, the module will compare the quality test results of the probiotic high-activity enzyme freeze-dried powder to be processed with the quality standards one by one. Through this step, the error range determination module can quickly identify which products' quality indicators fall within the standard range, that is, which products are qualified.

[0062] Based on the comparison results, the error range determination module screens out all qualified probiotic high-activity enzyme freeze-dried powder data and marks these data as "qualified quality data".

[0063] In order to gain a deeper understanding of which sensor parameters are closely related to product quality, the error range determination module will search for sensor parameter data corresponding to qualified quality data in the probiotic high-activity enzyme freeze-dried powder quality database. These data cover multiple key parameters during the fermentation process, such as temperature, humidity, and pH value.

[0064] Finally, the error range determination module organizes and outputs the sensor parameter data of all qualified products. These data are of great reference value for subsequent product quality control, process optimization, and sensor calibration.

[0065] The error range can not only help companies control product quality and ensure that each batch of probiotic high-activity enzyme freeze-dried powder meets the established standards, but also provide strong support for continuous product improvement and process optimization through in-depth analysis of sensor parameter data. In addition, the error range determination module can also help companies to promptly discover and correct potential problems in the production process, thereby comprehensively improving the market competitiveness and customer satisfaction of products.

[0066] The sensor parameter adjustment module retrieves the sensor parameter data corresponding to the quality test results of the probiotic high-activity enzyme freeze-dried powder to be processed from the probiotic high-activity enzyme freeze-dried powder quality database, obtains the sensor parameter data to be compared, compares the sensor parameter data to be compared with the sensor parameter data of the quality-qualified product, obtains the sensor parameter error, reconfigures the parameters of the sensor corresponding to the sensor parameter error, obtains the sensor with adjusted parameter configuration, and uses the sensor with adjusted parameter configuration to collect data on the fermentation of the probiotic high-activity enzyme freeze-dried powder.

[0067] The sensor parameter adjustment module is responsible for monitoring and adjusting the sensor parameters during the production process of probiotic high-activity enzyme freeze-dried powder to ensure the accuracy and reliability of data collection, thereby ensuring product quality. The following is a specific functional description and workflow of the module: The core function of the sensor parameter adjustment module is to identify the error of sensor parameters by comparing the sensor parameter data corresponding to the quality test results of the probiotic high-activity enzyme freeze-dried powder to be processed (i.e. the sensor parameter data to be compared) with the sensor parameter data of the qualified product, and reconfigure the sensor parameters accordingly. In this way, the adjusted sensor can more accurately collect data during the fermentation process of the probiotic high-activity enzyme freeze-dried powder, providing strong support for product quality control.

[0068] The sensor parameter adjustment module first retrieves the sensor parameter data corresponding to the quality test results of the product to be processed from the probiotic high-activity enzyme freeze-dried powder quality database. These data include real-time records of key parameters such as temperature, humidity, pH value, etc. during the fermentation process.

[0069] Next, the sensor parameter adjustment module compares the sensor parameter data to be compared with the sensor parameter data of qualified products in detail. Through the comparison, it is possible to identify which sensor parameters have errors, as well as the size and direction of the errors.

[0070] Based on the comparison results, the sensor parameter adjustment module calculates the parameter error of each sensor. These error data are crucial for subsequent sensor parameter adjustment.

[0071] Based on the calculated parameter errors, the module reconfigures the parameters of the sensors with errors. This may include adjusting the sensor's sensitivity, calibration points, sampling frequency, etc. to ensure that the sensor can more accurately reflect the true situation of the fermentation process.

[0072] After adjusting the parameter configuration, the module applies the updated sensors to the fermentation process of the probiotic high-activity enzyme freeze-dried powder for data collection. These adjusted sensors can provide more accurate and reliable data, providing strong guarantee for product quality control.

[0073] The sensor parameter adjustment module also continuously monitors the performance and data quality of the sensor. If new errors or problems are found, it will make timely adjustments and optimizations to ensure that the accuracy and reliability of data collection always remain at a high level.

[0074] The sensor parameter adjustment module is directly related to the accuracy of data collection, which in turn affects the accuracy and efficiency of product quality control. By accurately adjusting the sensor parameters, the sensor parameter adjustment module can ensure that the key parameters in the fermentation process are accurately monitored and controlled, thereby improving the product quality and stability of the probiotic high-activity enzyme freeze-dried powder. At the same time, the sensor parameter adjustment module also helps to timely discover and solve potential problems in the production process, reducing production costs and risks.

[0075] Specifically, the probiotic high-activity enzyme freeze-dried powder fermentation equipment of the present invention, the task generation module is also used for: Use the probiotic high-activity enzyme freeze-dried powder fermentation data to train the random forest model, obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, accept the probiotic high-activity enzyme freeze-dried powder fermentation task, substitute the probiotic high-activity enzyme freeze-dried powder fermentation task into the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, and obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data includes the fermentation equipment execution parameters, sensor configuration data and freeze-drying stage execution parameters. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data is sent to the equipment execution module.

[0076] The task generation module is not only responsible for basic task reception and distribution, but also uses machine learning technology, especially the random forest model, to build and optimize the control model of the probiotic high-activity enzyme freeze-dried powder fermentation equipment.

[0077] The task generation module first collects a large amount of probiotic high-activity enzyme freeze-dried powder fermentation data, which covers various parameters in the historical fermentation process (such as temperature, humidity, pH value, etc.) and the corresponding fermentation results.

[0078] Using the collected data, the module uses the random forest algorithm to train the model. Random forest is an integrated learning method that improves the accuracy and stability of the model by building multiple decision trees and integrating their prediction results. After training, the control model of the probiotic high-activity enzyme freeze-dried powder fermentation equipment is obtained.

[0079] When there are new probiotic high-activity enzyme freeze-dried powder fermentation tasks, the task generation module is responsible for receiving these tasks.

[0080] Substitute the received fermentation task into the previously trained probiotic high-activity enzyme freeze-dried powder fermentation equipment control model. The model will output a set of optimized fermentation equipment control data based on the specific requirements of the task (such as target output, quality standards, etc.).

[0081] The generated fermentation equipment control data includes the execution parameters of the fermentation equipment (such as stirring speed, heating temperature, etc.), sensor configuration data (such as sensor type, location, sampling frequency, etc.) and the execution parameters of the freeze-drying stage (such as freeze-drying temperature, time, etc.).

[0082] The task generation module sends this set of control data to the equipment execution module. The equipment execution module adjusts the operating state of the fermentation equipment according to the received control data to ensure that the fermentation process is carried out according to the optimized parameters.

[0083] The task generation module optimizes the fermentation process by introducing the random forest model, which significantly improves the production efficiency and product quality of probiotic high-activity enzyme freeze-dried powder, making the fermentation process more controllable and stable.

[0084] Specifically, the probiotic high-activity enzyme freeze-dried powder fermentation equipment of the present invention, the data grouping module is also used for: A correspondence is established between the quality test results of probiotic high-activity enzyme freeze-dried powder and the data within the cycle of probiotic high-activity enzyme freeze-dried powder to obtain a probiotic high-activity enzyme freeze-dried powder quality database, which includes real-time parameters of fermentation equipment, fermentation environment parameters, sensor parameter data, bacterial community structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data within the quality production cycle of probiotic high-activity enzyme freeze-dried powder.

[0085] In addition to the basic data classification and storage functions, the data grouping module also undertakes the important task of establishing the corresponding relationship between the quality test results of probiotic high-activity enzyme freeze-dried powder and various data in its production cycle. Through this corresponding relationship, the module can build a comprehensive probiotic high-activity enzyme freeze-dried powder quality database, providing strong support for in-depth analysis and optimization of the fermentation process.

[0086] The data grouping module will first collect various data within the production cycle of probiotic high-activity enzyme freeze-dried powder from various data sources, including real-time parameters of fermentation equipment (such as stirring speed, temperature, pressure, etc.), fermentation environment parameters (such as humidity, oxygen concentration, etc.), sensor parameter data (such as sensor readings, status, etc.), bacterial community structure change data (such as changes in bacterial community types and quantities obtained through microbial testing), freeze-drying stage parameters (such as freeze-drying temperature, time, pressure, etc.) and probiotic high-activity enzyme freeze-dried powder fermentation history data and quality history data.

[0087] After collecting various data, the data grouping module will establish a corresponding relationship with these data based on the quality test results of the probiotic high-activity enzyme freeze-dried powder. This means that for each batch of probiotic high-activity enzyme freeze-dried powder, the module can closely associate its quality test results with various data in the production cycle.

[0088] By establishing corresponding relationships, the data grouping module can build a comprehensive probiotic high-activity enzyme freeze-dried powder quality database. This database not only contains the quality test results themselves, but also covers various parameters and data closely related to the production process. Such a database provides great convenience for subsequent data analysis, process optimization and quality traceability.

[0089] The constructed quality database supports efficient data query and analysis functions. Users can quickly query the production data and quality data of a specific batch of probiotic high-activity enzyme freeze-dried powder through the interface provided by the module, and conduct in-depth analysis and comparison. This helps to discover potential problems in the production process, optimize the fermentation process, and improve product quality and stability.

[0090] The data grouping module provides strong data support for the production process of probiotic high-activity enzyme freeze-dried powder by establishing the corresponding relationship between the quality test results of probiotic high-activity enzyme freeze-dried powder and various data in the production cycle, and constructing a comprehensive quality database. This not only helps to timely discover and solve problems in the production process and improve product quality, but also provides a strong basis for subsequent process optimization, product development and quality traceability.

[0091] Specifically, the probiotic high-activity enzyme freeze-dried powder fermentation equipment of the present invention, the sensor parameter adjustment module is also used for: If the sensor parameter error is greater than the preset error range, the sensor of the parameter to be adjusted is obtained, the identity information of the sensor of the parameter to be adjusted is retrieved, and the historical parameter data of the sensor is matched in the probiotic high-activity enzyme freeze-dried powder quality database according to the identity information of the sensor of the parameter to be adjusted to obtain the sensor historical data of the parameter to be adjusted, and the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is retrieved in the probiotic high-activity enzyme freeze-dried powder quality database based on time to obtain the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted. The probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is obtained, and the random forest model is trained using the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted and the sensor historical data of the parameter to be adjusted to obtain a sensor configuration simulation model, collect the real-time configuration of the sensor of the parameter to be adjusted, substitute the real-time configuration of the sensor of the parameter to be adjusted into the sensor configuration simulation model to obtain sensor configuration simulation data, load the sensor of the parameter to be adjusted with the sensor configuration simulation data, obtain the sensor after the parameter configuration is adjusted, and use the sensor after the parameter configuration is adjusted to collect data for the fermentation of probiotic high-activity enzyme freeze-dried powder.

[0092] When the sensor parameter error exceeds the preset range, the sensor parameter adjustment module can automatically identify and locate the sensor to be adjusted. Subsequently, it uses the historical data in the probiotic high-activity enzyme freeze-dried powder quality database and combines it with the random forest model to train a sensor configuration simulation model. This model can predict the optimized configuration parameters based on the real-time configuration of the sensor, thereby realizing intelligent adjustment of the sensor parameters.

[0093] The sensor parameter adjustment module first detects the parameter error of the sensor. If the error is greater than a preset range, the sensor to be adjusted is identified and its identity information (such as sensor type, number, location, etc.) is retrieved.

[0094] According to the identity information of the sensor to be adjusted, the module matches and extracts the historical parameter data of the sensor and the quality test results of the probiotic high-activity enzyme freeze-dried powder in the corresponding time period from the probiotic high-activity enzyme freeze-dried powder quality database.

[0095] Using the extracted sensor historical parameter data and the corresponding quality inspection results, the module trains the random forest model to obtain the sensor configuration simulation model. This model can learn the relationship between sensor configuration and product quality.

[0096] The real-time configuration information of the sensor to be adjusted is collected and substituted into the sensor configuration simulation model. The sensor parameter adjustment module outputs the optimized sensor configuration simulation data according to the real-time configuration.

[0097] The sensor to be adjusted is loaded with the sensor configuration simulation data, that is, its parameter configuration is adjusted. After the adjustment is completed, the sensor with the adjusted parameter configuration is used to collect data on the fermentation process of the probiotic high-activity enzyme freeze-dried powder.

[0098] The sensor parameter adjustment module continuously monitors the performance and data quality of the sensor. If new errors or performance degradation are found, the above process is repeated for further adjustment and optimization.

[0099] The advanced functions of the sensor parameter adjustment module are of great significance for improving the production efficiency and product quality of probiotic high-activity enzyme freeze-dried powder. By intelligently adjusting the sensor parameters, the accuracy and reliability of data collection can be ensured, thereby optimizing the fermentation process control. In addition, the use of historical data and machine learning models for parameter prediction and optimization not only improves the efficiency and accuracy of adjustment, but also reduces the cost and risk of human intervention. This data-based intelligent optimization method provides technical support for the production of probiotic high-activity enzyme freeze-dried powder.

[0100] In a second aspect, the present invention provides a probiotic high-activity enzyme freeze-dried powder fermentation process, which is applied to the probiotic high-activity enzyme freeze-dried powder fermentation equipment, including an execution device end, a controller end and a background control end, the controller end establishes communication connections with the execution device end and the background control end respectively, the background control end sends a probiotic high-activity enzyme freeze-dried powder fermentation task and a probiotic high-activity enzyme freeze-dried powder quality standard to the controller end, the controller end generates probiotic high-activity enzyme freeze-dried powder fermentation equipment control data according to the probiotic high-activity enzyme freeze-dried powder fermentation task, the controller end performs data collection according to the execution device end after executing the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data, obtains a sensor after adjusting the parameter configuration, and uses the sensor after adjusting the parameter configuration to collect data from the execution device end, the controller end includes: Obtain the fermentation data of probiotic high-activity enzyme freeze-dried powder, which includes real-time parameters of fermentation equipment, fermentation environment parameters, sensor parameter data, flora structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data; Receive the probiotic high-activity enzyme freeze-dried powder fermentation task sent by the background control end, and use the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model to obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data, and send the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data to the execution device end; The execution device executes the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data; In the process of executing the control data of the probiotic high-activity enzyme freeze-dried powder fermentation equipment on the execution device side, the time information from the start of the probiotic high-activity enzyme freeze-dried powder fermentation equipment to the production of the probiotic high-activity enzyme freeze-dried powder is recorded to obtain the production time period of the probiotic high-activity enzyme freeze-dried powder, the quality of the probiotic high-activity enzyme freeze-dried powder is tested by the testing equipment, and the quality test results of the probiotic high-activity enzyme freeze-dried powder are obtained. The probiotic high-activity enzyme freeze-dried powder production time period data corresponding to the probiotic high-activity enzyme freeze-dried powder quality test results are retrieved to obtain the probiotic high-activity enzyme freeze-dried powder cycle data, and the probiotic high-activity enzyme freeze-dried powder quality database is established; The quality test results of probiotic high-activity enzyme freeze-dried powder are collected, and the quality test results of probiotic high-activity enzyme freeze-dried powder are stored to obtain a probiotic high-activity enzyme freeze-dried powder quality test result database, and the quality test results of probiotic high-activity enzyme freeze-dried powder are randomly partitioned in the probiotic high-activity enzyme freeze-dried powder quality test result database to obtain a first partition of probiotic high-activity enzyme freeze-dried powder quality test results, a second partition of probiotic high-activity enzyme freeze-dried powder quality test results, a third partition of probiotic high-activity enzyme freeze-dried powder quality test results, and a fourth partition of probiotic high-activity enzyme freeze-dried powder quality test results, and an aggregation function is used to screen out the probiotic high-activity enzyme freeze-dried powder quality test results to be processed from the first partition of probiotic high-activity enzyme freeze-dried powder quality test results, the second partition of probiotic high-activity enzyme freeze-dried powder quality test results, the third partition of probiotic high-activity enzyme freeze-dried powder quality test results, and the fourth partition of probiotic high-activity enzyme freeze-dried powder quality test results; Receive the quality standard of probiotic high-activity enzyme freeze-dried powder sent by the background control end, compare the quality test result of the probiotic high-activity enzyme freeze-dried powder to be processed with the quality standard of the probiotic high-activity enzyme freeze-dried powder, obtain the quality qualified data of the probiotic high-activity enzyme freeze-dried powder to be processed, retrieve the sensor parameter data corresponding to the quality qualified data of the probiotic high-activity enzyme freeze-dried powder to be processed in the probiotic high-activity enzyme freeze-dried powder quality database, and obtain the sensor parameter data of the quality qualified product. The sensor parameter data corresponding to the quality test results of the probiotic high-activity enzyme freeze-dried powder to be processed are retrieved from the probiotic high-activity enzyme freeze-dried powder quality database to obtain the sensor parameter data to be compared, and the sensor parameter data to be compared is compared with the sensor parameter data of the qualified product to obtain the sensor parameter error, and the sensor corresponding to the sensor parameter error is reconfigured to obtain the sensor with adjusted parameter configuration, and the sensor with adjusted parameter configuration is used to collect data on the fermentation of the probiotic high-activity enzyme freeze-dried powder.

[0101] Specifically, the probiotic high-activity enzyme freeze-dried powder fermentation process of the present invention also includes: Use the probiotic high-activity enzyme freeze-dried powder fermentation data to train the random forest model, obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, accept the probiotic high-activity enzyme freeze-dried powder fermentation task, substitute the probiotic high-activity enzyme freeze-dried powder fermentation task into the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, and obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data includes the fermentation equipment execution parameters, sensor configuration data and freeze-drying stage execution parameters. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data is sent to the equipment execution module.

[0102] Specifically, the probiotic high-activity enzyme freeze-dried powder fermentation process of the present invention also includes: A correspondence is established between the quality test results of probiotic high-activity enzyme freeze-dried powder and the data within the cycle of probiotic high-activity enzyme freeze-dried powder to obtain a probiotic high-activity enzyme freeze-dried powder quality database, which includes real-time parameters of fermentation equipment, fermentation environment parameters, sensor parameter data, bacterial community structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data within the quality production cycle of probiotic high-activity enzyme freeze-dried powder.

[0103] Specifically, the probiotic high-activity enzyme freeze-dried powder fermentation process of the present invention also includes: If the sensor parameter error is greater than the preset error range, the sensor of the parameter to be adjusted is obtained, the identity information of the sensor of the parameter to be adjusted is retrieved, and the historical parameter data of the sensor is matched in the probiotic high-activity enzyme freeze-dried powder quality database according to the identity information of the sensor of the parameter to be adjusted to obtain the sensor historical data of the parameter to be adjusted, and the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is retrieved in the probiotic high-activity enzyme freeze-dried powder quality database based on time to obtain the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted. The probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is obtained, and the random forest model is trained using the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted and the sensor historical data of the parameter to be adjusted to obtain a sensor configuration simulation model, collect the real-time configuration of the sensor of the parameter to be adjusted, substitute the real-time configuration of the sensor of the parameter to be adjusted into the sensor configuration simulation model to obtain sensor configuration simulation data, load the sensor of the parameter to be adjusted with the sensor configuration simulation data, obtain the sensor after the parameter configuration is adjusted, and use the sensor after the parameter configuration is adjusted to collect data for the fermentation of probiotic high-activity enzyme freeze-dried powder.

[0104] The present invention effectively solves the problem of inaccurate data caused by the decline in sensor accuracy during the fermentation of probiotic high-activity enzyme freeze-dried powder, which in turn affects product quality, through a series of modules and steps. The specific technical solution is as follows: The data acquisition module is responsible for acquiring various data during the fermentation process of probiotic high-activity enzyme freeze-dried powder, including real-time parameters of fermentation equipment, fermentation environment parameters, sensor parameter data, flora structure change data, freeze-drying stage parameters, and historical data of fermentation and quality. The task generation module receives the fermentation task and uses the existing fermentation data to train the random forest model to obtain the fermentation equipment control model. Subsequently, the control data is generated according to this model and sent to the equipment execution module. The equipment execution module executes the control data from the task generation module and implements the fermentation process. During the fermentation process, the data processing module records the time cycle information and performs quality inspection on the final product. The inspection results are associated with the cycle data to establish a quality database. The data grouping module randomly partitions the quality inspection results and uses the aggregation function to filter out the inspection results that need to be processed. The error range determination module receives the quality standard, compares the processed quality inspection results with the standard, filters out qualified data, and obtains the corresponding sensor parameter data from the quality database. The sensor parameter adjustment module compares the screened qualified sensor parameter data with the sensor parameters in the corresponding unqualified data to calculate the error. If the error exceeds the preset range, the sensor parameters are reconfigured. If the error is too large, the module will further retrieve the historical parameters and quality test results of the sensor, use these data to train a new random forest model (sensor configuration simulation model), and generate new simulation data based on the real-time sensor configuration to adjust the sensor parameters.

[0105] Through the above steps, the present invention not only monitors and adjusts sensor parameters in real time and improves the accuracy of sensor data acquisition, but also continuously optimizes the fermentation process through historical data and machine learning models, thereby avoiding the problem of inaccurate data caused by decreased sensor accuracy, and stabilizing the fermentation quality and process standards of the probiotic high-activity enzyme freeze-dried powder.

Claims

1. A probiotic high-activity enzyme freeze-dried powder fermentation equipment, characterized in that: include: The data acquisition module acquires the fermentation data of the probiotic high-activity enzyme freeze-dried powder, which includes real-time parameters of the fermentation equipment, fermentation environment parameters, sensor parameter data, flora structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data; The task generation module receives the probiotic high-activity enzyme freeze-dried powder fermentation task, uses the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, obtains the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data, and sends the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data to the equipment execution module; Equipment execution module, which executes the control data of probiotic high-activity enzyme freeze-dried powder fermentation equipment; The data processing module and the equipment execution module execute the control data process of the probiotic high-activity enzyme freeze-dried powder fermentation equipment, record the time information from the start of the probiotic high-activity enzyme freeze-dried powder fermentation equipment to the production of the probiotic high-activity enzyme freeze-dried powder, obtain the production time period of the probiotic high-activity enzyme freeze-dried powder, conduct quality inspection on the probiotic high-activity enzyme freeze-dried powder through the inspection equipment, obtain the quality inspection result of the probiotic high-activity enzyme freeze-dried powder, retrieve the probiotic high-activity enzyme freeze-dried powder production time period data corresponding to the probiotic high-activity enzyme freeze-dried powder quality inspection result, obtain the probiotic high-activity enzyme freeze-dried powder cycle data, and establish a probiotic high-activity enzyme freeze-dried powder quality database; a data grouping module, collecting the quality test results of the probiotic high-activity enzyme freeze-dried powder, storing the quality test results of the probiotic high-activity enzyme freeze-dried powder, obtaining a database of the quality test results of the probiotic high-activity enzyme freeze-dried powder, randomly partitioning the quality test results of the probiotic high-activity enzyme freeze-dried powder in the database of the quality test results of the probiotic high-activity enzyme freeze-dried powder, obtaining a first partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, a second partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, a third partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, and a fourth partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, and using an aggregation function to screen out the quality test results of the probiotic high-activity enzyme freeze-dried powder from the first partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, the second partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, the third partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder, and the fourth partition of the quality test results of the probiotic high-activity enzyme freeze-dried powder; The error range determination module receives the quality standard of the probiotic high-activity enzyme freeze-dried powder, compares the quality test result of the probiotic high-activity enzyme freeze-dried powder to be processed with the quality standard of the probiotic high-activity enzyme freeze-dried powder, obtains the qualified quality data of the probiotic high-activity enzyme freeze-dried powder to be processed, retrieves the sensor parameter data corresponding to the qualified quality data of the probiotic high-activity enzyme freeze-dried powder to be processed from the probiotic high-activity enzyme freeze-dried powder quality database, and obtains the sensor parameter data of the qualified quality product; The sensor parameter adjustment module retrieves the sensor parameter data corresponding to the quality test results of the probiotic high-activity enzyme freeze-dried powder to be processed from the probiotic high-activity enzyme freeze-dried powder quality database, obtains the sensor parameter data to be compared, compares the sensor parameter data to be compared with the sensor parameter data of the quality-qualified product, obtains the sensor parameter error, reconfigures the parameters of the sensor corresponding to the sensor parameter error, obtains the sensor with adjusted parameter configuration, and uses the sensor with adjusted parameter configuration to collect data on the fermentation of the probiotic high-activity enzyme freeze-dried powder.

2. The probiotic high-activity enzyme freeze-dried powder fermentation equipment according to claim 1, characterized in that: The task generation module is further used for: Use the probiotic high-activity enzyme freeze-dried powder fermentation data to train the random forest model, obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, accept the probiotic high-activity enzyme freeze-dried powder fermentation task, substitute the probiotic high-activity enzyme freeze-dried powder fermentation task into the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, and obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data includes the fermentation equipment execution parameters, sensor configuration data and freeze-drying stage execution parameters. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data is sent to the equipment execution module.

3. The probiotic high-activity enzyme freeze-dried powder fermentation equipment according to claim 1, characterized in that: The data grouping module is further used for: A correspondence is established between the quality test results of probiotic high-activity enzyme freeze-dried powder and the data within the cycle of probiotic high-activity enzyme freeze-dried powder to obtain a probiotic high-activity enzyme freeze-dried powder quality database, which includes real-time parameters of fermentation equipment, fermentation environment parameters, sensor parameter data, bacterial community structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data within the quality production cycle of probiotic high-activity enzyme freeze-dried powder.

4. The probiotic high-activity enzyme freeze-dried powder fermentation equipment according to claim 1, characterized in that: The sensor parameter adjustment module is also used for: If the sensor parameter error is greater than the preset error range, the sensor of the parameter to be adjusted is obtained, the identity information of the sensor of the parameter to be adjusted is retrieved, and the historical parameter data of the sensor is matched in the probiotic high-activity enzyme freeze-dried powder quality database according to the identity information of the sensor of the parameter to be adjusted to obtain the sensor historical data of the parameter to be adjusted, and the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is retrieved in the probiotic high-activity enzyme freeze-dried powder quality database based on time to obtain the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted. The probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is obtained, and the random forest model is trained using the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted and the sensor historical data of the parameter to be adjusted to obtain a sensor configuration simulation model, collect the real-time configuration of the sensor of the parameter to be adjusted, substitute the real-time configuration of the sensor of the parameter to be adjusted into the sensor configuration simulation model to obtain sensor configuration simulation data, load the sensor of the parameter to be adjusted with the sensor configuration simulation data, obtain the sensor after the parameter configuration is adjusted, and use the sensor after the parameter configuration is adjusted to collect data for the fermentation of probiotic high-activity enzyme freeze-dried powder.

5. A probiotic high-activity enzyme freeze-dried powder fermentation process, applied to the probiotic high-activity enzyme freeze-dried powder fermentation equipment according to any one of claims 1 to 4, characterized in that: It includes an execution device end, a controller end and a background control end. The controller end establishes communication connections with the execution device end and the background control end respectively. The background control end sends the probiotic high-activity enzyme freeze-dried powder fermentation task and the probiotic high-activity enzyme freeze-dried powder quality standard to the controller end. The controller end generates probiotic high-activity enzyme freeze-dried powder fermentation equipment control data according to the probiotic high-activity enzyme freeze-dried powder fermentation task. The controller end collects data from the execution device end after executing the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data, obtains the sensor after adjusting the parameter configuration, and uses the sensor after adjusting the parameter configuration to collect data from the execution device end. The controller end includes: Obtain the fermentation data of probiotic high-activity enzyme freeze-dried powder, which includes real-time parameters of fermentation equipment, fermentation environment parameters, sensor parameter data, flora structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data; Receive the probiotic high-activity enzyme freeze-dried powder fermentation task sent by the background control end, and use the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model to obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data, and send the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data to the execution device end; The execution device executes the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data; In the process of executing the control data of the probiotic high-activity enzyme freeze-dried powder fermentation equipment on the execution device side, the time information from the start of the probiotic high-activity enzyme freeze-dried powder fermentation equipment to the production of the probiotic high-activity enzyme freeze-dried powder is recorded to obtain the production time period of the probiotic high-activity enzyme freeze-dried powder, the quality of the probiotic high-activity enzyme freeze-dried powder is tested by the testing equipment, and the quality test results of the probiotic high-activity enzyme freeze-dried powder are obtained. The probiotic high-activity enzyme freeze-dried powder production time period data corresponding to the probiotic high-activity enzyme freeze-dried powder quality test results are retrieved to obtain the probiotic high-activity enzyme freeze-dried powder cycle data, and the probiotic high-activity enzyme freeze-dried powder quality database is established; The quality test results of probiotic high-activity enzyme freeze-dried powder are collected, and the quality test results of probiotic high-activity enzyme freeze-dried powder are stored to obtain a probiotic high-activity enzyme freeze-dried powder quality test result database, and the quality test results of probiotic high-activity enzyme freeze-dried powder are randomly partitioned in the probiotic high-activity enzyme freeze-dried powder quality test result database to obtain a first partition of probiotic high-activity enzyme freeze-dried powder quality test results, a second partition of probiotic high-activity enzyme freeze-dried powder quality test results, a third partition of probiotic high-activity enzyme freeze-dried powder quality test results, and a fourth partition of probiotic high-activity enzyme freeze-dried powder quality test results, and an aggregation function is used to screen out the probiotic high-activity enzyme freeze-dried powder quality test results to be processed from the first partition of probiotic high-activity enzyme freeze-dried powder quality test results, the second partition of probiotic high-activity enzyme freeze-dried powder quality test results, the third partition of probiotic high-activity enzyme freeze-dried powder quality test results, and the fourth partition of probiotic high-activity enzyme freeze-dried powder quality test results; Receive the quality standard of probiotic high-activity enzyme freeze-dried powder sent by the background control end, compare the quality test result of the probiotic high-activity enzyme freeze-dried powder to be processed with the quality standard of the probiotic high-activity enzyme freeze-dried powder, obtain the quality qualified data of the probiotic high-activity enzyme freeze-dried powder to be processed, retrieve the sensor parameter data corresponding to the quality qualified data of the probiotic high-activity enzyme freeze-dried powder to be processed in the probiotic high-activity enzyme freeze-dried powder quality database, and obtain the sensor parameter data of the quality qualified product. The sensor parameter data corresponding to the quality test results of the probiotic high-activity enzyme freeze-dried powder to be processed are retrieved from the probiotic high-activity enzyme freeze-dried powder quality database to obtain the sensor parameter data to be compared, and the sensor parameter data to be compared is compared with the sensor parameter data of the qualified product to obtain the sensor parameter error, and the sensor corresponding to the sensor parameter error is reconfigured to obtain the sensor with adjusted parameter configuration, and the sensor with adjusted parameter configuration is used to collect data on the fermentation of the probiotic high-activity enzyme freeze-dried powder.

6. The probiotic high-activity enzyme freeze-dried powder fermentation process according to claim 5, characterized in that: Also includes: Use the probiotic high-activity enzyme freeze-dried powder fermentation data to train the random forest model, obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, accept the probiotic high-activity enzyme freeze-dried powder fermentation task, substitute the probiotic high-activity enzyme freeze-dried powder fermentation task into the probiotic high-activity enzyme freeze-dried powder fermentation equipment control model, and obtain the probiotic high-activity enzyme freeze-dried powder fermentation equipment control data. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data includes the fermentation equipment execution parameters, sensor configuration data and freeze-drying stage execution parameters. The probiotic high-activity enzyme freeze-dried powder fermentation equipment control data is sent to the equipment execution module.

7. The probiotic high-activity enzyme freeze-dried powder fermentation process according to claim 5, characterized in that: Also includes: A correspondence is established between the quality test results of probiotic high-activity enzyme freeze-dried powder and the data within the cycle of probiotic high-activity enzyme freeze-dried powder to obtain a probiotic high-activity enzyme freeze-dried powder quality database, which includes real-time parameters of fermentation equipment, fermentation environment parameters, sensor parameter data, bacterial community structure change data, freeze-drying stage parameters, probiotic high-activity enzyme freeze-dried powder fermentation history data and probiotic high-activity enzyme freeze-dried powder quality history data within the quality production cycle of probiotic high-activity enzyme freeze-dried powder.

8. The probiotic high-activity enzyme freeze-dried powder fermentation process according to claim 5, characterized in that: Also includes: If the sensor parameter error is greater than the preset error range, the sensor of the parameter to be adjusted is obtained, the identity information of the sensor of the parameter to be adjusted is retrieved, and the historical parameter data of the sensor is matched in the probiotic high-activity enzyme freeze-dried powder quality database according to the identity information of the sensor of the parameter to be adjusted to obtain the sensor historical data of the parameter to be adjusted, and the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is retrieved in the probiotic high-activity enzyme freeze-dried powder quality database based on time to obtain the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted. The probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted is obtained, and the random forest model is trained using the probiotic high-activity enzyme freeze-dried powder quality detection result corresponding to the sensor historical data of the parameter to be adjusted and the sensor historical data of the parameter to be adjusted to obtain a sensor configuration simulation model, collect the real-time configuration of the sensor of the parameter to be adjusted, substitute the real-time configuration of the sensor of the parameter to be adjusted into the sensor configuration simulation model to obtain sensor configuration simulation data, load the sensor of the parameter to be adjusted with the sensor configuration simulation data, obtain the sensor after the parameter configuration is adjusted, and use the sensor after the parameter configuration is adjusted to collect data for the fermentation of probiotic high-activity enzyme freeze-dried powder.

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