Intelligent control system for livestock and poultry manure fermentation discharging machine

Abstract

The present invention discloses an intelligent control system for a livestock and poultry manure fermentation discharging machine, which relates to the field of discharging machine control technology. The system includes: establishing a digital connection between the intelligent control system and the discharging machine and the fermentation bin; reading basic information of the discharging machine and the fermentation bin; building a monitoring data set; generating prediction results; activating the discharging machine and establishing batch fitting results; reconstructing control parameters based on error fitting results; and controlling the activated discharging machine to perform discharging processing based on the reconstructed control parameters. The system solves the technical problems existing in the control of the livestock and poultry manure fermentation discharging machine, such as the difficulty in accurately monitoring key parameters in the fermentation process and the inability to dynamically adjust the control parameters according to the actual situation of the fermentation bin, which leads to insufficient discharging control accuracy of the fermentation discharging bin, realizes intelligent control of the fermentation discharging machine, and achieves the technical effect of reducing the deviation between the control parameters and the actual demand and improving the discharging control accuracy.

Description

Technical Field

[0001] The present application relates to the technical field related to discharger control, and in particular to an intelligent control system for a livestock and poultry manure fermentation discharger. Background Art

[0002] With the rapid development of modern animal husbandry, the scale of livestock and poultry breeding industry has gradually expanded, and the treatment and resource utilization of livestock and poultry manure have become increasingly prominent. If livestock and poultry manure is not handled properly, it will not only pollute the environment, but also waste a lot of organic resources. How to efficiently and environmentally friendly treat livestock and poultry manure has become an important issue for the sustainable development of current animal husbandry. Livestock and poultry manure fermentation technology and its supporting equipment, especially the intelligent control of the discharging machine, are particularly important. As an important link in this process, the control accuracy and efficiency of the livestock and poultry manure fermentation discharging machine directly affect the quality and output of the fermentation products. However, the traditional control method of the discharging machine is mostly manual or semi-automatic control, which is cumbersome to operate and has low accuracy, and it is difficult to meet the needs of modern animal husbandry for efficient and precise control.

[0003] Therefore, in the current technologies related to the control of livestock and poultry manure fermentation discharging machines, there are technical problems such as difficulty in accurately monitoring key parameters in the fermentation process and inability to dynamically adjust control parameters according to the actual situation in the fermentation bin, which leads to insufficient discharge control accuracy of the fermentation discharging bin. Summary of the invention

[0004] The present application provides an intelligent control system for a livestock and poultry manure fermentation discharging machine, and adopts technical means such as building a prediction model and fitting the control parameter errors, so as to solve the technical problems existing in the control of the existing livestock and poultry manure fermentation discharging machine, that is, it is difficult to accurately monitor the key parameters in the fermentation process and it is impossible to dynamically adjust the control parameters according to the actual situation of the fermentation bin, which leads to insufficient discharge control accuracy of the fermentation discharging bin. The application realizes the intelligent control of the fermentation discharging machine and achieves the technical effect of reducing the deviation between the control parameters and the actual demand and improving the discharge control accuracy.

[0005] The present application provides an intelligent control system for a livestock and poultry manure fermentation discharging machine, the system comprising: a communication establishment module, used to establish a digital connection between the intelligent control system and the discharging machine and the fermentation bin; an information reading module, used to read basic information of the discharging machine and the fermentation bin, the basic information including equipment information and input information of the fermentation bin; a monitoring module, used to configure a monitoring sensor group in the fermentation bin, perform data monitoring in the fermentation bin through the monitoring sensor group, and construct a monitoring data set; a prediction module, used to construct a fermentation prediction model through big data, input the input information and the monitoring data set into the fermentation prediction model, generate a prediction result, and the prediction result includes a discharging time and a discharging amount; an activation module, used to activate the discharging machine according to the discharging time, and perform batch discharging segmentation according to the basic information and the discharging amount, and establish a batch fitting result; an error prediction module, used to perform error fitting of control parameters according to the batch fitting result and the monitoring data set, and reconstruct the control parameters based on the error fitting result, the control parameters including valve opening parameters and motor speed parameters; a control module, used to control the activated discharging machine to perform discharging processing based on the reconstructed control parameters.

[0006] In a possible implementation, the activation module also performs the following processing: parsing the monitoring data set to obtain pressure data, temperature data, humidity data and pH data of the fermentation bin; predicting the viscosity of the discharge material based on the input information, pressure data, temperature data, humidity data and pH data, generating a viscosity prediction result, performing a retention impact analysis based on the viscosity prediction result, and establishing a first error fitting result; generating an error fitting result based on the first error fitting result, and reconstructing the control parameters.

[0007] In a possible implementation, the activation module further performs the following processing: obtaining a mapping control parameter of the discharging machine according to the batch fitting result, the mapping control parameter being a control parameter of the discharging machine in a calibrated state; performing an error control analysis on the mapping control parameter to establish a collaborative control error, as follows:

[0008]

[0009] in, is the collaborative control error, is the motor speed error, is the valve opening error, is a weight coefficient used to balance the control effect of motor speed and valve opening, and t represents the time node; the collaborative control error is used as the second error fitting result, and an error fitting result is generated according to the first error fitting result and the second error fitting result to reconstruct the control parameters.

[0010] In a possible implementation, the activation module further performs the following processing: generating a comprehensive control signal according to the error fitting result, as follows:

[0011]

[0012] in, is the integrated control signal, is the error fitting result, is the proportional gain, is the integral gain, is the differential gain; the motor speed and valve opening are coordinated optimized according to the comprehensive control signal to complete the control parameter reconstruction.

[0013] In a possible implementation, the activation module further performs the following processing: performing coordinated optimization of the motor speed and the valve opening by using a formula as follows:

[0014]

[0015] in, The motor speed collaborative optimization result for the next moment, The collaborative optimization result of valve opening at the next moment is obtained. is the motor speed at the current moment, is the valve opening at the current moment, are the adjustment coefficients of motor speed and valve opening, respectively. is the valve opening at the previous moment, is the motor speed at the previous moment, is the first synergy coefficient, which represents the synergistic effect of valve opening on motor speed. is the second coordination coefficient, which characterizes the coordinated effect of motor speed on valve opening.

[0016] In a possible implementation, the intelligent control system also performs the following processing: a feedback detection module is used to continuously monitor the discharge machine, construct a batch retention data set, perform cumulative retention trigger analysis on the batch retention data set, and generate feedback control instructions based on the cumulative retention trigger analysis results; a feedback processing module is used to perform cleaning control of the discharge machine based on the feedback control instructions, and correct the error fitting result after the cleaning control is completed.

[0017] In a possible implementation, the intelligent control system also performs the following processing: a continuous monitoring module is used to continuously monitor the operation of the discharging machine, and perform load analysis on the discharging machine based on the continuous operation monitoring results and batch fitting results, and establish a load prediction result; a dynamic adjustment module is used to dynamically adjust the batch fitting results according to the load prediction results, and control and manage the discharging machine according to the dynamically adjusted batch fitting results.

[0018] In a possible implementation, the intelligent control system also performs the following processing: an early warning module is used to monitor the discharge of the discharge machine, generate a discharge monitoring result, perform control consistency verification based on the discharge monitoring result and the reconstructed control parameters, and issue an abnormal warning based on the control consistency verification result.

[0019] It is intended to establish a digital connection between the intelligent control system and the discharging machine and the fermentation bin through the intelligent control system for the livestock and poultry manure fermentation discharging machine proposed in this application; read the basic information of the discharging machine and the fermentation bin, the basic information including the equipment information and the input information of the fermentation bin; configure a monitoring sensor group in the fermentation bin, perform data monitoring in the fermentation bin through the monitoring sensor group, and construct a monitoring data set; construct a fermentation prediction model through big data, input the input information and the monitoring data set into the fermentation prediction model, and generate a prediction result, the prediction result including the discharging time and the discharging amount; activate the discharging machine according to the discharging time, and perform batch discharging segmentation according to the basic information and the discharging amount, and establish a batch fitting result; perform error fitting of the control parameters according to the batch fitting results and the monitoring data set, and reconstruct the control parameters based on the error fitting results, the control parameters including the valve opening parameters and the motor speed parameters; control the activated discharging machine to perform discharging processing based on the reconstructed control parameters. The invention solves the technical problems existing in the control of livestock and poultry manure fermentation discharging machine, such as difficulty in accurately monitoring key parameters in the fermentation process and failure to dynamically adjust the control parameters according to the actual situation of the fermentation bin, which leads to insufficient discharge control accuracy of the fermentation discharging bin. The intelligent control of the fermentation discharging machine is realized, achieving the technical effect of reducing the deviation between the control parameters and the actual demand and improving the discharge control accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0021] Figure 1 A schematic diagram of the structure of an intelligent control system for a livestock and poultry manure fermentation discharging machine provided in an embodiment of the present application;

[0022] Figure 2 A schematic diagram of the execution process of the activation module in the intelligent control system for the livestock and poultry manure fermentation discharging machine provided in an embodiment of the present application.

[0023] Explanation of reference numerals: communication establishment module 10 , information reading module 20 , monitoring module 30 , prediction module 40 , activation module 50 , error prediction module 60 , control module 70 . DETAILED DESCRIPTION

[0024] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0025] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0026] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0027] The present application embodiment provides an intelligent control system for a livestock and poultry manure fermentation discharging machine, such as Figure 1 As shown, the system comprises:

[0028] The communication establishment module 10 is used to establish a digital connection between the intelligent control system and the discharging machine and the fermentation bin. The main function of the communication establishment module is to realize real-time and reliable data exchange between the intelligent control system and the discharging machine and the fermentation bin. Through the communication establishment module, the intelligent control system can obtain real-time status information of the discharging machine and the fermentation bin, such as key parameters such as temperature, humidity, and oxygen content, and make intelligent control decisions based on this information. Specifically, through a series of technical means and communication protocols, a digital connection between the intelligent control system and the discharging machine and the fermentation bin is established to ensure that the intelligent control system can exchange information and transmit control instructions with the discharging machine and the fermentation bin in real time and accurately. For example, the intelligent control system establishes a connection with the discharging machine and the fermentation bin through the INTERNET or local area network (LAN), wide area network (WAN), which usually includes a wired network (such as Ethernet) and a wireless network ( Such as Wi-Fi or 4G / 5G mobile network); use Modbus / TCP, Modbus / RTU and other communication protocols to establish a connection between the intelligent control system and the PLC of the fermentation discharger to realize data transmission and command exchange; among them, data exchange means that the intelligent control system can read the status information of the discharger and the fermentation bin in real time, such as temperature, humidity, pH value, etc., as well as the operating status and fault information of the equipment. At the same time, the intelligent control system can also send control instructions to the discharger and the fermentation bin to control them to perform corresponding operations. Control instructions refer to the intelligent control system calculating the best control instructions based on the real-time monitored data and the preset control strategy, and sending them to the PLC of the discharger and the fermentation bin through the network to drive the corresponding actuators to complete the operation.

[0029] The information reading module 20 is used to read the basic information of the discharging machine and the fermentation bin, and the basic information includes the equipment information and the input information of the fermentation bin. The information reading module is responsible for reading and collecting basic information from the controlled equipment such as the discharging machine and the fermentation bin, and collecting and obtaining the basic information such as the operating status, environmental parameters, material information, etc. of these equipment in real time through sensors, instruments or other data acquisition devices connected to the discharging machine and the fermentation bin, including equipment information and input information of the fermentation bin. The equipment information may include but is not limited to equipment status information, equipment configuration information and equipment maintenance information. The input information of the fermentation bin may include but is not limited to material information, environmental parameters, fermentation parameters and operation instructions. Specifically, the equipment status information includes the equipment status information of the fermentation bin and the discharging machine (such as whether the discharging machine and the fermentation bin are running, paused or stopped) and fault information (whether there are any faults or abnormalities, such as motor overheating, sensor damage, etc.). The equipment configuration information includes the model and serial number (discharging machine, fermentation bin, etc.). The basic information of the feeder and fermentation bin includes the unique identifier of the feeder and fermentation bin), production capacity (such as hourly processing volume, maximum capacity, etc.) and technical parameters (such as voltage, current, etc.). The equipment maintenance information includes the last maintenance time and maintenance cycle (such as monthly or quarterly). The material information of the fermentation bin includes the type of material (such as livestock and poultry manure, crop straw, etc.), quantity (the amount of material put into the fermentation bin) and humidity (the initial humidity of the material). The environmental parameters include temperature (temperature in the fermentation bin), humidity (humidity in the fermentation bin) and pH value (acidity and alkalinity during the fermentation process). The fermentation parameters include fermentation time (the expected fermentation time of the material in the fermentation bin) and target state (such as the expected fermentation temperature or humidity, etc.). The operation instructions include start / stop fermentation (control the fermentation bin to start or stop fermentation) and adjust parameters (such as adjust the temperature and humidity in the fermentation bin, etc.). The basic information of the feeder and fermentation bin helps to understand the real-time status of the fermentation bin and the feeder, predict and optimize the fermentation process, and improve production efficiency and product quality.

[0030] The monitoring module 30 is used to configure a monitoring sensor group in the fermentation bin, and to perform data monitoring in the fermentation bin through the monitoring sensor group to construct a monitoring data set. The monitoring module is used to monitor the operating status, environmental conditions and usage of the fermentation bin and the discharging machine, and is mainly responsible for monitoring and collecting data. The monitoring sensor group is a plurality of sensors used to measure and record various parameters in the fermentation bin (such as temperature, pressure, humidity, gas concentration, pH value, etc.), which are selected and configured according to the specific needs and monitoring objectives of the fermentation bin. Specifically, the monitoring module collects various data and parameters in the fermentation bin in real time through the built-in monitoring sensor group, and organizes, analyzes and stores the collected data to form a monitoring data set, which mainly records the status information and environmental data of the fermentation bin at different time points.

[0031] The prediction module 40 is used to construct a fermentation prediction model through big data, input the input information and the monitoring data set into the fermentation prediction model, and generate a prediction result, which includes the discharge time and the discharge amount. The prediction module is a software component for fermentation prediction based on big data analysis and machine learning technology. It uses historical data and real-time monitoring data to build and train fermentation prediction models. The model can predict key parameters in the fermentation process, including discharge time and discharge amount. Specifically, a large amount of fermentation historical data, including fermentation bin environmental parameters, microbial activity, product quality, etc., is collected and analyzed through big data. Based on these historical data, the fermentation prediction model is learned and trained based on neural networks, random forests, etc. A series of parameters and conditions of the fermentation process, such as the type and quantity of raw materials, the initial settings of the fermentation environment (such as temperature, humidity, pH value, etc.), the amount of microbial inoculation, etc., and the monitoring data set (such as temperature, humidity, gas concentration, pH value, microbial activity, etc.) are input into the fermentation prediction model. The model calculates the prediction results based on these data, which usually include discharge time (that is, when the fermentation is expected to be completed and the product can be taken out) and discharge amount (that is, the expected amount of product that can be obtained), which is convenient for production scheduling, inventory management, and quality control.

[0032] The activation module 50 is used to activate the discharging machine according to the discharging time, and to perform batch discharging segmentation according to the basic information and the discharging amount, and to establish batch fitting results. The activation module is an intelligent control unit, which executes the activation (start / stop) and batch discharging segmentation of the discharging machine according to the prediction results (discharging time and discharging amount), so as to ensure the efficient and precise control of the fermentation process. Specifically, the activation module activates the discharging machine according to the discharging time, which specifically means that when the fermentation prediction model gives the estimated discharging time, the activation module will start or activate the discharging machine at this time point, so that the discharging machine equipment enters the working state and prepares to start the discharging process, ensuring that the discharging is carried out at the correct time point, avoiding the problems that may be caused by discharging too early or too late, such as reduced product quality or waste of resources; the activation module also performs batch discharging segmentation according to the basic information and the discharging amount, that is, according to the basic information (such as equipment capacity, material characteristics, etc.) and the predicted discharging time. The predicted discharge volume is divided into several batches for discharge. The quantity of each batch may be determined according to actual demand and equipment capacity. For example, if the predicted discharge volume is 1,000 kg, and the maximum single discharge volume of the equipment is 200 kg, the activation module will divide the discharge volume into 5 batches for processing. After the batch discharge segmentation, the activation module establishes batch fitting results according to the discharge situation of each batch. Among them, the batch fitting results refer to the comparison and analysis of the actual discharge situation (such as the discharge volume and discharge time of each batch) with the predicted results to evaluate the accuracy of the prediction and the performance of the equipment, which helps to continuously optimize the production process of livestock and poultry manure fermentation (i.e., the prediction model and the operation strategy of the discharge machine) and improve production efficiency and product quality.

[0033] The error prediction module 60 is used to perform error fitting of control parameters according to the batch fitting results and the monitoring data set, and reconstruct the control parameters based on the error fitting results. The control parameters include valve opening parameters and motor speed parameters. The error prediction module is an intelligent control unit for evaluating and optimizing control parameters. It predicts the errors of control parameters based on the batch fitting results (i.e., the comparison between the actual discharge situation and the predicted results) and the real-time monitoring data set (such as temperature, humidity, gas concentration, etc.), and reconstructs the control parameters based on the predicted results to ensure that the fermentation process proceeds as expected. Specifically, the error prediction module uses the batch fitting results and the monitoring data set to perform error fitting, that is, analyzes the error pattern in the batch fitting results (such as the error size, change trend, etc.), and combines the monitoring data set to predict the error of the control parameters. For example, regression analysis, time series analysis, etc. are used to accurately predict the errors of the control parameters, and reconstruct the control parameters based on the error fitting results. The control parameters include valve opening parameters and motor speed parameters. The valve opening parameters determine the size and speed of the material flow rate, affecting the stability and efficiency of the fermentation process. The motor speed parameters affect the efficiency of stirring or mixing, thereby affecting the quality of the fermentation process. Specifically, the error prediction module calculates the adjustment amount of the control parameters according to the results of the error fitting. For example, if it is predicted that there is an error in the valve opening parameter, the error prediction module calculates the opening value that needs to be increased or decreased, or if there is an error in the motor speed parameter, the error prediction module calculates the speed value that needs to be adjusted, and then sends the adjusted control parameters to the corresponding actuators (valves and motors) to achieve precise control of the fermentation process and improve the stability and efficiency of the fermentation process.

[0034] The control module 70 is used to control the activated discharging machine to perform discharging processing based on the reconstructed control parameters. The control module is a key intelligent control unit responsible for receiving the reconstructed control parameters and controlling the activated discharging machine to perform the discharging processing process. The control module first receives the control parameters reconstructed by the error prediction module according to the batch fitting results and the monitoring data set, and sends a control instruction to the discharging machine through a specific interface or communication protocol according to the received reconstructed control parameters. After receiving the instruction from the control module, the discharging machine adjusts its working state according to the control parameters in the instruction. For example, if the reconstructed control parameters indicate an increase in the valve opening, the discharging machine will adjust the valve accordingly to increase the material flow rate, or if the reconstructed control parameters indicate an adjustment in the motor speed, the discharging machine will change the operating speed of its internal stirring or conveying mechanism. Through these adjustments, the discharging machine can perform discharging processing according to the predetermined discharging speed and flow rate, ensure the accuracy and stability of the discharging process, and realize the automation and intelligence of the livestock and poultry manure fermentation and discharging production process.

[0035] The intelligent control system for livestock and poultry manure fermentation discharging machine according to the embodiment of the present invention is used to solve the technical problem that the existing livestock and poultry manure fermentation discharging machine control is difficult to accurately monitor the key parameters in the fermentation process and cannot dynamically adjust the control parameters according to the actual situation of the fermentation bin, thereby resulting in insufficient discharge control accuracy of the fermentation discharging bin. The intelligent control of the fermentation discharging machine is realized, and the technical effect of reducing the deviation between the control parameters and the actual demand and improving the discharge control accuracy is achieved. The intelligent control system for livestock and poultry manure fermentation discharging machine includes: a communication establishment module 10, an information reading module 20, a monitoring module 30, a prediction module 40, an activation module 50, an error prediction module 60, and a control module 70.

[0036] Next, the specific configuration of the activation module 50 will be described in detail. Figure 2 As shown, the activation module 50 may further include: parsing the monitoring data set to obtain pressure data, temperature data, humidity data and pH data of the fermentation bin. Parsing the monitoring data set means that in a fermentation process, the monitoring data set collected in real time is processed and analyzed to extract key parameters related to the environmental state of the fermentation bin, which is helpful to understand the state of the fermentation process, optimize the control strategy and ensure the quality and yield of the fermentation product. For example, the noise or abnormal value of the monitoring data in the original monitoring data set is processed through pre-processing operations such as data cleaning and filtering to improve the data quality and obtain the oxygen content, pressure data, temperature data, humidity data and pH data of the fermentation bin.

[0037] The activation module 50 also includes predicting the viscosity of the discharge material according to the input information, pressure data, temperature data, humidity data, and pH data, generating a viscosity prediction result, performing a retention impact analysis based on the viscosity prediction result, and establishing a first error fitting result. Viscosity is a physical quantity that describes the resistance to the flow of a substance. For fermentation products, its viscosity is closely related to product quality, processing performance, etc. Viscosity prediction is based on input information (such as material type, process parameters, etc.) and real-time monitoring data (such as oxygen content, pressure, temperature, humidity, pH value, etc.) to estimate the viscosity value of the output material, that is, to generate a viscosity prediction result. Among them, it is particularly important to ensure that the oxygen content in the fermentation process is sufficient. In the aerobic fermentation process, turning and ventilating the raw materials is a key link. For example, the use of a turning machine can effectively stir and mix the fermentation bacteria, auxiliary materials, and raw materials through its turning operation, ensure the uniformity of the fermentation raw materials, make the raw materials loose again, improve the air permeability of the raw materials, allow the raw materials to fully contact with the air, and pass the external air into the fermentation chamber to provide sufficient oxygen for aerobic microorganisms and promote the fermentation process. At the same time, turning and ventilation can help disperse the moisture in the raw materials, that is, the moisture in the raw materials can be more easily evaporated and taken away, reducing the raw materials. The moisture content of the material is conducive to the fermentation process, the oxygen content in the fermentation bin is monitored and reasonably regulated to achieve the best fermentation effect; the retention impact analysis is to evaluate the possible impact of the viscosity prediction results on the discharging process, which may include the simulation and calculation of parameters such as flow and pressure of components such as discharging equipment, pipelines, valves, etc., to predict the performance of these components under high viscosity conditions. High viscosity materials may be more prone to retention or blockage during the discharging process, thereby affecting the discharging efficiency and product quality. The first error fitting result is established based on the comparison between the viscosity measurement value and the viscosity prediction value in the actual discharging process. Specifically, in the actual discharging process, the actual viscosity value of the discharging material can be obtained by sampling and measuring, and these actual values ​​are compared with the previous viscosity prediction values. The prediction error (that is, the difference between the actual value and the predicted value) can be calculated. By analyzing these error data, the first error fitting result is established to achieve more accurate control and optimization of the production process.

[0038] The activation module 50 also includes generating an error fitting result according to the first error fitting result and reconstructing the control parameters. The first error fitting result is analyzed and based on the analysis result, an error adjustment strategy is determined, that is, how to adjust the control parameters to reduce the prediction error, and after the error adjustment strategy is determined, a new error fitting result is generated, and then the control parameters are reconstructed, that is, based on the analysis of the error fitting result, the control parameters (such as valve opening parameters, motor speed parameters, etc.) are fine-tuned to minimize the prediction error, so as to optimize the production process of fermentation discharge.

[0039] The specific configuration of the activation module 50 will be described in detail below. The activation module 50 may further include: obtaining the mapping control parameters of the discharging machine according to the batch fitting results, and the mapping control parameters are the control parameters of the discharging machine in the calibrated state. The mapping control parameters refer to the control parameters calculated based on the batch fitting results through a certain mapping relationship, which are directly used to control the operation of the discharging machine to ensure that the discharging process can achieve the expected effect. The calibration state usually refers to the standard state of the discharging machine under specific conditions, that is, it has standard parameter setting values ​​to ensure that the discharging machine works in a predetermined manner and effect. Specifically, according to the batch fitting results, the key influencing factors and performance indicators in the production or testing process of the batch are analyzed, and the mapping relationship is used to calculate the discharging machine control parameters that match the current batch. These discharging machine control parameters are regarded as the discharging machine control parameters in the calibrated state, which are used to guide the actual operation of the discharging machine.

[0040] The activation module 50 also includes performing error control analysis on the mapping control parameters and establishing collaborative control errors. Error control analysis is an evaluation and optimization of the mapping control parameters, which aims to identify, quantify and reduce the errors between the control parameters and the ideal values ​​or target values. Specifically, the source, size, distribution and trend of the errors, as well as their impact on the operation of the discharging machine, are analyzed to determine which factors cause the errors, and to formulate corresponding control strategies to reduce or eliminate these errors; collaborative control errors are errors generated when multiple control modules of the discharging machine control system work together, reflecting the performance deviations or deficiencies of the entire control system when working together, for example, analyzing the interactions and dependencies between different control submodules or units, identifying the possible sources of errors and error transmission mechanisms in the collaborative control process, quantifying collaborative control errors, and formulating corresponding control strategies or optimization measures to reduce or eliminate errors based on the analysis results of the collaborative control errors. Establishing collaborative control errors is as follows:

[0041]

[0042] in, is the collaborative control error, is the motor speed error, is the valve opening error, is the weight coefficient, which is used to balance the control effect of motor speed and valve opening, and t represents the time node.

[0043] The activation module 50 also includes: using the collaborative control error as a second error fitting result, generating an error fitting result according to the first error fitting result and the second error fitting result, and reconstructing the control parameters. The second error fitting result represents the collaborative control error of the discharge machine control system, combining the first error fitting result and the second error fitting result, and comprehensively evaluating the performance deviation of the entire control system. For example, weighted fusion is performed on the two error fitting results to obtain a more comprehensive error fitting result, providing a more accurate quantitative description of the performance deviation of the entire control system, and reconstructing the control parameters based on the new error fitting results, including analyzing the new error fitting results to determine which control parameters have the greatest impact on reducing the error, adjusting the values ​​of the control parameters according to the analysis results, aiming to minimize the error and optimize the performance of the entire control system, and verifying the adjusted control parameters. If the verification results show that the new control parameters are effective, they are determined as the final optimization parameters, and the performance of the discharge machine control system is optimized by adjusting the control parameters.

[0044] The specific configuration of the activation module 50 will be described in detail below. The activation module 50 may further include: generating a comprehensive control signal according to the error fitting result, as follows:

[0045]

[0046] in, is the integrated control signal, is the error fitting result, is the proportional gain, is the integral gain, is the differential gain. It also includes, according to the comprehensive control signal, the coordinated optimization of the motor speed and the valve opening is performed to complete the reconstruction of the control parameters. The comprehensive control signal is a signal generated by the controller in the fermentation discharge machine control system, which contains multiple parameters and instructions for coordinated optimization of the motor speed and the valve opening. The coordinated optimization needs to consider the impact of the changes in the two parameters of motor speed and valve opening on the system performance at the same time, and find their best combination. Specifically, a simulation environment is established to simulate the impact of motor speed and valve opening on the control system performance (such as flow, pressure, efficiency, etc.). By adjusting the values ​​of these two parameters, the changes in the control system performance are monitored, and the parameter combination that makes the fermentation discharge machine control system performance optimal or meets specific requirements is found. Then, the control parameters are reconstructed according to the optimal combination of motor speed and valve opening, that is, the values ​​of the control parameters are adjusted to ensure that the fermentation discharge machine control system can operate stably according to the new motor speed and valve opening values.

[0047] The specific configuration of the activation module 50 will be described in detail below. The activation module 50 may further include: performing coordinated optimization of the motor speed and the valve opening by a formula as follows:

[0048]

[0049] in, The motor speed collaborative optimization result for the next moment, The collaborative optimization result of valve opening at the next moment is obtained. is the motor speed at the current moment, is the valve opening at the current moment, are the adjustment coefficients of motor speed and valve opening, respectively. is the valve opening at the previous moment, is the motor speed at the previous moment, is the first synergy coefficient, which represents the synergistic effect of valve opening on motor speed. is the second coordination coefficient, which characterizes the coordinated effect of motor speed on valve opening.

[0050] The specific configuration of the intelligent control system for the livestock and poultry manure fermentation discharging machine will be described in detail below. The intelligent control system for the livestock and poultry manure fermentation discharging machine also includes: a feedback detection module, which is used to continuously monitor the discharging machine, build a batch retention data set, perform cumulative retention trigger analysis on the batch retention data set, and generate feedback control instructions based on the cumulative retention trigger analysis results. The feedback monitoring module is mainly responsible for continuous monitoring of the discharging machine to obtain the operating status and related information of the discharging machine in real time, and receive various sensor data from the discharging machine, such as motor speed, valve opening, material flow, etc. and analyze them. Specifically, in the process of continuous monitoring, the feedback detection module will record the retention data related to the batch, such as the residence time, retention amount, retention position and other information of the material in the discharging machine, and organize these retention data to form a retention data set. The cumulative retention trigger analysis is used to process and analyze the batch retention data set, that is, to analyze the retention data of each batch. When the cumulative retention amount or retention time exceeds the preset threshold, the corresponding warning or control measures are triggered to ensure the normal operation of the discharging machine and the efficient processing of materials. Based on the results of the cumulative retention trigger analysis, the feedback detection module generates corresponding feedback control instructions, such as adjusting the motor speed, changing the valve opening, starting or stopping the discharging machine, etc., aiming to reduce the occurrence of retention and optimize the performance of the discharging machine.

[0051] The intelligent control system for the livestock and poultry manure fermentation discharging machine also includes: a feedback processing module, which is used to perform cleaning control of the discharging machine based on the feedback control instruction, and correct the error fitting result after the cleaning control is completed. The feedback control instruction is generated by the feedback detection module based on the result of the cumulative retention trigger analysis, and is directly related to the cleaning operation of the discharging machine, with the purpose of reducing or eliminating the retention phenomenon of materials in the discharging machine. Specifically, it is directly related to the cleaning operation of the discharging machine, with the purpose of reducing or eliminating the retention phenomenon of materials in the discharging machine. According to the instruction, the feedback processing module will trigger or control the cleaning mechanism of the discharging machine, such as adjusting the motor speed, changing the valve opening, starting the cleaning equipment and other operations. During the cleaning process, the feedback processing module continuously monitors the state of the discharging machine and adjusts the cleaning strategy as needed. After the cleaning control is completed, the feedback processing module will evaluate the cleaning effect and correct the error fitting result accordingly. For example, the data changes before and after the cleaning are evaluated, such as material flow, retention, etc., and the relevant parameters in the error fitting model are adjusted according to these changes.

[0052] Next, the specific configuration of the intelligent control system for livestock and poultry manure fermentation discharging machine will be described in detail. The intelligent control system for livestock and poultry manure fermentation discharging machine also includes: a continuous monitoring module, which is used to continuously monitor the discharging machine, and analyze the discharging machine load based on the continuous working monitoring results and batch fitting results, and establish load prediction results. The continuous monitoring module continuously and uninterruptedly monitors the operating status of the discharging machine through sensors, and collects monitoring data in real time, including key parameters such as the motor speed, material flow, valve opening, temperature, and pressure of the discharging machine. Based on the continuous monitoring module, combined with the batch fitting results, load analysis is performed, including analyzing the current load status, load change trend, load distribution, etc. of the discharging machine, comprehensively obtaining detailed information about the load of the discharging machine, and improving the accuracy and reliability of the load analysis. Finally, based on the above load analysis results, a load prediction result is established, including the load level, change trend, and possible peak value of the discharging machine in the future period of time. The load prediction result is used to guide the production plan and scheduling of the discharging machine, and improve production efficiency and equipment utilization.

[0053] The intelligent control system for the livestock and poultry manure fermentation discharging machine also includes: a dynamic adjustment module, which is used to dynamically adjust the batch fitting results according to the load prediction results, and control and manage the discharging machine according to the dynamically adjusted batch fitting results. The dynamic adjustment module dynamically adjusts the batch fitting results based on the load prediction results, and controls and manages the discharging machine according to the adjusted results. Specifically, the dynamic adjustment module adjusts the batch fitting results in real time according to the real-time changing load prediction results to ensure that the batch fitting results can more accurately reflect the actual operation of the discharging machine and future load changes, such as adjusting the batch size, time interval, material ratio and other parameters to better adapt to the predicted load changes, and then based on the dynamically adjusted batch fitting results, the discharging machine control system formulates corresponding control strategies and management measures, such as adjusting the running speed of the discharging machine, optimizing material distribution, adjusting the production plan, etc., to ensure that the discharging machine can operate efficiently and stably, and the discharging machine control system can more accurately predict and adapt to load changes, thereby optimizing production plans and control strategies, improving production efficiency and the stability of the entire discharging machine control system.

[0054] The specific configuration of the intelligent control system for the livestock and poultry manure fermentation discharging machine will be described in detail below. The intelligent control system for the livestock and poultry manure fermentation discharging machine also includes: an early warning module, which is used to monitor the discharging of the discharging machine, generate the discharging monitoring results, perform control consistency verification based on the discharging monitoring results and the reconstructed control parameters, and report abnormal early warnings based on the control consistency verification results. The early warning module continuously monitors the discharge of the discharging machine, that is, obtains the actual discharging situation of the discharging machine through sensors and other monitoring equipment, including but not limited to key parameters such as the discharging speed, discharging volume and discharging quality of the discharging machine, generates discharging monitoring results, and performs control consistency verification based on the discharging monitoring results and the reconstructed control parameters, which means that the early warning module compares the actual discharging situation with the preset control parameters (such as the expected discharging speed, discharging volume, etc.). If the control consistency verification result shows that there is a significant deviation between the actual discharging situation of the discharging machine and the preset control parameters, the early warning module will report an abnormal warning through sound and light alarms, SMS notifications, email reminders, etc. The warning information may include detailed information such as the type of abnormality, the time when the abnormality occurred, the scope of the abnormality, etc., to ensure the stability and accuracy of the discharging process of the fermentation discharging machine.

[0055] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0056] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. An intelligent control system for a livestock and poultry manure fermentation discharging machine, characterized in that: The intelligent control system comprises: Communication establishment module, used to establish digital connection between intelligent control system and discharging machine and fermentation bin; An information reading module is used to read basic information of the discharging machine and the fermentation bin, wherein the basic information includes equipment information and input information of the fermentation bin; A monitoring module, used to configure a monitoring sensor group in the fermentation bin, perform data monitoring in the fermentation bin through the monitoring sensor group, and construct a monitoring data set; A prediction module, used to construct a fermentation prediction model through big data, input the input information and the monitoring data set into the fermentation prediction model, and generate a prediction result, wherein the prediction result includes a discharge time and a discharge amount; An activation module, used to activate the discharging machine according to the discharging time, and to perform batch discharging segmentation according to the basic information and the discharging amount, and to establish a batch fitting result; An error prediction module is used to perform error fitting of control parameters according to batch fitting results and monitoring data sets, and reconstruct control parameters based on the error fitting results, wherein the control parameters include valve opening parameters and motor speed parameters; A control module, used for controlling the activated discharging machine to perform discharging processing based on the reconstructed control parameters; The step of performing error fitting of control parameters according to the batch fitting results and the monitoring data set, and reconstructing the control parameters based on the error fitting results, further includes: Analyze the monitoring data set to obtain pressure data, temperature data, humidity data and pH data of the fermentation bin; Predicting the viscosity of the discharged material according to the input information, pressure data, temperature data, humidity data, and pH data, generating a viscosity prediction result, performing a retention impact analysis based on the viscosity prediction result, and establishing a first error fitting result; An error fitting result is generated according to the first error fitting result, and the control parameter is reconstructed.

2. The intelligent control system for livestock and poultry manure fermentation discharging machine according to claim 1, characterized in that: Generating an error fitting result according to the first error fitting result and reconstructing the control parameter further includes: Acquire mapping control parameters of the discharging machine according to the batch fitting result, wherein the mapping control parameters are control parameters of the discharging machine in a calibrated state; The error control analysis is performed on the mapping control parameters to establish the collaborative control error, as follows: ； in, is the collaborative control error, is the motor speed error, is the valve opening error, is the weight coefficient, which is used to balance the control effect of motor speed and valve opening, and t represents the time node; The collaborative control error is used as a second error fitting result, an error fitting result is generated according to the first error fitting result and the second error fitting result, and the control parameters are reconstructed.

3. The intelligent control system for livestock and poultry manure fermentation discharging machine according to claim 2, characterized in that: The generating an error fitting result according to the first error fitting result and the second error fitting result, and reconstructing the control parameter, further comprises: Generate a comprehensive control signal according to the error fitting result, as follows: ； in, is the integrated control signal, is the error fitting result, is the proportional gain, is the integral gain, is the differential gain; The motor speed and valve opening are collaboratively optimized according to the comprehensive control signal to complete the control parameter reconstruction.

4. The intelligent control system for livestock and poultry manure fermentation discharging machine according to claim 3, characterized in that: The step of performing coordinated optimization of the motor speed and the valve opening according to the comprehensive control signal to complete the control parameter reconstruction further includes: The motor speed and valve opening are coordinated and optimized by the formula as follows: ； ； in, The motor speed collaborative optimization result for the next moment, The collaborative optimization result of valve opening at the next moment is obtained. is the motor speed at the current moment, is the valve opening at the current moment, and are the adjustment coefficients of motor speed and valve opening, is the valve opening at the previous moment, is the motor speed at the previous moment, is the first synergy coefficient, which represents the synergistic effect of valve opening on motor speed. is the second coordination coefficient, which characterizes the coordinated effect of motor speed on valve opening.

5. The intelligent control system for livestock and poultry manure fermentation discharging machine according to claim 1, characterized in that: The intelligent control system also includes: A feedback detection module is used to continuously monitor the discharging machine, construct a batch retention data set, perform cumulative retention trigger analysis on the batch retention data set, and generate feedback control instructions based on the cumulative retention trigger analysis results; The feedback processing module is used to perform cleaning control of the discharging machine based on the feedback control instruction, and to correct the error fitting result after the cleaning control is completed.

6. The intelligent control system for livestock and poultry manure fermentation discharging machine according to claim 1, characterized in that: The intelligent control system also includes: The continuous monitoring module is used to continuously monitor the discharge machine, and to analyze the discharge machine load based on the continuous monitoring results and batch fitting results, and to establish load prediction results; A dynamic adjustment module is used to dynamically adjust the batch fitting results according to the load forecasting results, and to control and manage the discharge machine according to the dynamically adjusted batch fitting results.

7. The intelligent control system for livestock and poultry manure fermentation discharging machine according to claim 1, characterized in that: The intelligent control system also includes: The early warning module is used to monitor the discharge of the discharge machine, generate the discharge monitoring results, perform control consistency verification based on the discharge monitoring results and the reconstructed control parameters, and report abnormal early warning based on the control consistency verification results.

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