Cow dung fermentation coupling intelligent production machine and method

Abstract

The invention provides a cow dung fermentation coupling intelligent material producing machine and method, the cow dung fermentation coupling intelligent material producing machine comprises a fermentation bin and an intelligent control system, the intelligent control system comprises a data acquisition module used for monitoring fermentation parameters of cow dung in the fermentation bin in real time; the decision module is used for predicting the fermentation process of the cow dung in the fermentation bin based on the fermentation parameters and generating a control instruction; and the execution module is used for adjusting an execution mechanism according to the control instruction. According to the technical scheme, the cow dung state is monitored in real time, the temperature, the ventilation quantity and the heat source distribution are dynamically adjusted, and the optimal fermentation condition is ensured.

Description

Background Art

[0002] At present, the fermentation treatment of cow dung is mainly divided into two modes:

[0003] Fuel-based material fermentation: It is necessary to decompose organic matter quickly at high temperature, control the temperature at 55 - 60 °C, and have a lower ventilation volume to reduce water evaporation.

[0004] Organic fertilizer-based material fermentation: It requires slow fermentation at medium temperature (35 - 45 °C), and a higher ventilation volume to promote the reproduction of microorganisms.

[0005] However, the existing technologies have the following deficiencies:

[0006] Single-function limitation: Traditional fermentation equipment is usually designed only for a certain type of product (fuel or fertilizer), and it is impossible to flexibly switch the production mode in the same piece of equipment.

[0007] Insufficient control accuracy: Relying on manual adjustment of temperature and ventilation volume, it is impossible to monitor the state of cow dung in real time (such as moisture content, pH value, ammonia concentration, etc.), resulting in unstable fermentation conditions and poor product consistency.

[0008] Low energy efficiency: Only relying on a single heat source such as electric auxiliary heating or biological self-heating, and failing to combine the advantages of both, resulting in high energy consumption. Summary of the Invention

[0009] This application provides a cow dung fermentation coupled intelligent feeding machine and method for real-time monitoring of the state of cow dung, dynamically adjusting temperature, ventilation volume and heat source distribution to ensure optimal fermentation conditions.

[0010] In the first aspect, a cow dung fermentation coupled intelligent feeding machine is provided, including: a fermentation tank and an intelligent control system, where,

[0011] The intelligent control system includes:

[0012] A data acquisition module for real-time monitoring of the fermentation parameters of cow dung in the fermentation tank;

[0013] A decision-making module for predicting the fermentation process of cow dung in the fermentation tank based on the fermentation parameters and generating control instructions;

[0014] An execution module for adjusting the actuator according to the control instructions.

[0015] In the above technical solution, by setting up a fermentation tank and an intelligent control system, the intelligent control system includes: a data acquisition module for real-time monitoring of the fermentation parameters of cow dung in the fermentation tank; a decision-making module for predicting the fermentation process of cow dung in the fermentation tank based on the fermentation parameters and generating control instructions; and an execution module for adjusting the actuator according to the control instructions, realizing real-time monitoring of the state of cow dung, dynamically adjusting the temperature, ventilation volume and heat source distribution, and ensuring the optimal fermentation conditions.

[0016] In a specific feasible implementation, the actuator includes a stirring mechanism, a ventilation mechanism and an electric auxiliary heating module arranged in the fermentation tank, where

[0017] The stirring mechanism is used for stirring the cow dung in the fermentation tank;

[0018] The ventilation mechanism is used for ventilating the cow dung in the fermentation tank;

[0019] The electric auxiliary heating module is used for heating the cow dung in the fermentation tank.

[0020] In a specific feasible implementation, a temperature sensor, a humidity sensor and an ammonia concentration sensor are arranged in the fermentation tank, where

[0021] The temperature sensor is used for detecting the fermentation temperature of cow dung in the fermentation tank;

[0022] The humidity sensor is used for detecting the fermentation humidity of cow dung in the fermentation tank;

[0023] The ammonia concentration sensor is used for detecting the ammonia concentration in the fermentation tank.

[0024] In a specific feasible implementation, the intelligent control system includes: a mode switching module, where

[0025] The mode switching module is used for setting the fuel mode or the organic fertilizer mode.

[0026] In a specific feasible implementation, the decision-making module uses an LSTM neural network to predict the fermentation process of cow dung in the fermentation tank.

[0027] In a specific feasible implementation, the intelligent control system includes: a data preprocessing module, where

[0028] The data preprocessing module is used for filtering out noise signals to obtain the fermentation parameters.

[0029] In a specific feasible implementation, the fermentation tank is made of stainless steel.

[0030] In a specific feasible embodiment, the fermentation parameters include the temperature, moisture content, and ammonia concentration of cow dung.

[0031] In a second aspect, a method for coupling cow dung fermentation with intelligent feeding is provided, including the following steps:

[0032] Using a data acquisition module to monitor the fermentation parameters of cow dung in the fermentation tank in real time;

[0033] Using a decision-making module to predict the fermentation process of cow dung in the fermentation tank based on the fermentation parameters and generate control instructions;

[0034] Using an execution module to adjust the actuator according to the control instructions.

[0035] In the above technical solution, by setting up a fermentation tank and an intelligent control system, the intelligent control system includes: a data acquisition module for monitoring the fermentation parameters of cow dung in the fermentation tank in real time; a decision-making module for predicting the fermentation process of cow dung in the fermentation tank based on the fermentation parameters and generating control instructions; an execution module for adjusting the actuator according to the control instructions; realizing the real-time monitoring of the state of cow dung, dynamically adjusting the temperature, ventilation volume, and heat source distribution, and ensuring the optimal fermentation conditions.

[0036] In a specific feasible embodiment, it further includes:

[0037] Using a mode switching module to set the fuel mode or the organic fertilizer mode. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a structural block diagram of the intelligent control system of the cow dung fermentation coupled intelligent feeding machine provided by the embodiment of the present application;

[0039] Figure 2 It is a flow block diagram of the method for coupling cow dung fermentation with intelligent feeding provided by the embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] The present application will be further described in detail below with reference to the drawings and embodiments. Through these descriptions, the features and advantages of the present application will become more clearly defined.

[0041] The specific term "exemplary" herein means "serving as an example, embodiment, or illustrative". Any embodiment described herein as "exemplary" does not necessarily have to be construed as superior or better than other embodiments. Although various aspects of the embodiments are shown in the drawings, the drawings do not have to be drawn to scale unless otherwise specified.

[0042] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0043] To facilitate the understanding of the cow dung fermentation coupled intelligent feeding machine and method provided by the embodiments of the present application, its application scenario will be described first. The cow dung fermentation coupled intelligent feeding machine and method provided by the embodiments of the present application are used to monitor the state of cow dung in real time, dynamically adjust the temperature, ventilation volume and heat source distribution, and ensure the optimal fermentation conditions. At present, the cow dung fermentation treatment is mainly divided into two modes: Fuel-based material fermentation: It is necessary to quickly decompose organic matter at high temperature, control the temperature at 55-60 °C, and have a low ventilation volume to reduce water evaporation. Organic fertilizer-based material fermentation: It is necessary to ferment slowly at medium temperature (35-45 °C), and have a high ventilation volume to promote the reproduction of microorganisms. However, the existing technologies have the following deficiencies: Single function limitation: Traditional fermentation equipment is usually designed only for a certain type of product (fuel or fertilizer), and cannot flexibly switch production modes in the same device. Insufficient control accuracy: Depending on manual adjustment of temperature and ventilation volume, the state of cow dung (such as moisture content, pH value, ammonia concentration, etc.) cannot be monitored in real time, resulting in unstable fermentation conditions and poor product consistency. Low energy efficiency: Only relying on a single heat source such as electric auxiliary heating or biological self-heating, and failing to combine the advantages of both, resulting in high energy consumption. For this reason, the embodiments of the present application provide a cow dung fermentation coupled intelligent feeding machine and method to monitor the state of cow dung in real time, dynamically adjust the temperature, ventilation volume and heat source distribution, and ensure the optimal fermentation conditions. The following will be described in detail with specific drawings by way of examples.

[0044] Reference Figure 1 and Figure 2 , Figure 1 is the structural block diagram of the intelligent control system of the cow dung fermentation coupled intelligent feeding machine provided by the embodiments of the present application; Figure 2 is the flow block diagram of the cow dung fermentation coupled intelligent feeding method provided by the embodiments of the present application.

[0045] In Figure 1 , the embodiments of the present application provide a cow dung fermentation coupled intelligent feeding machine, including: a fermentation tank and an intelligent control system, wherein,

[0046] The intelligent control system includes:

[0047] A data acquisition module for real-time monitoring of the fermentation parameters of cow dung in the fermentation tank;

[0048] A decision-making module for predicting the fermentation process of cow dung in the fermentation tank based on the fermentation parameters and generating control instructions;

[0049] Specifically, it includes:

[0050] Temperature control - mainly biological self-heating, and electric auxiliary heating is started to supplement when the temperature is lower than the threshold. If the temperature is too high (such as exceeding 60 °C in the fuel mode), reduce the electric auxiliary heating power and increase the ventilation volume.

[0051] Ventilation control - Dynamically adjust the ventilation volume according to the ammonia concentration to avoid NH3 volatilization loss. Increase ventilation in the organic fertilizer mode to promote the reproduction of aerobic bacteria.

[0052] Status monitoring - Determine the fermentation end point through pH value and moisture content (e.g., in the fuel mode, the pH stabilizes at 7 - 8, and the moisture content drops to 40%).

[0053] End condition judgment - The AI algorithm synthesizes temperature, pH value, and moisture content data to automatically determine the completion of fermentation and trigger a discharging prompt.

[0054] An example of the process flow is as follows:

[0055] Fuel base material production process:

[0056] (1) Cow dung is put into the fermentation tank with an initial moisture content of 80%.

[0057] (2) The AI system starts the electric auxiliary heating to 30°C and simultaneously turns on the stirring.

[0058] (3) When the temperature rises to be dominated by biological self - heating (above 45°C), the electric auxiliary heating is turned off, and the system adjusts the ventilation volume according to the pH value.

[0059] (4) After fermentation until the moisture content reaches 40% and the pH stabilizes, discharging is triggered.

[0060] Organic fertilizer base material production process:

[0061] (1) After cow dung is put in, the system maintains the temperature at 35 - 40°C and the ventilation volume at 20 L / min.

[0062] (2) Regularly detect the ammonia concentration, and if it exceeds the standard, increase the ventilation.

[0063] (3) Fermentation ends when the pH value reaches 6.5 - 7.5 and the moisture content drops to 50%.

[0064] An execution module, configured to adjust the actuator according to the control instruction.

[0065] In the above - mentioned technical solution, by setting up a fermentation tank and an intelligent control system, the intelligent control system includes: a data acquisition module for real - time monitoring of the fermentation parameters of cow dung in the fermentation tank; a decision - making module for predicting the fermentation process of cow dung in the fermentation tank based on the fermentation parameters and generating a control instruction; an execution module for adjusting the actuator according to the control instruction; realizing real - time monitoring of the cow dung state, dynamically adjusting the temperature, ventilation volume, and heat source distribution, and ensuring the optimal fermentation conditions.

[0066] Specifically, the beneficial effects of the cow dung fermentation - coupled intelligent material production machine include:

[0067] (I) Improve fermentation efficiency and quality

[0068] Precisely control the fermentation conditions

[0069] Dynamic temperature regulation: The data acquisition module can monitor the temperature parameters of cow dung in the fermentation bin in real time. Based on the preset optimal temperature range for cow dung fermentation and the real-time temperature data, the decision-making module accurately predicts the temperature requirements for the fermentation process and generates corresponding control instructions. After receiving the instructions, the execution module quickly adjusts the heat source distribution. For example, when the temperature is low, it increases the power of heating equipment or optimizes the heat source layout; when the temperature is too high, it promptly reduces the heating intensity or activates the heat dissipation device, so that the fermentation temperature is always maintained within the optimal range, accelerating the microbial activity and enhancing the fermentation speed.

[0070] Precisely regulate the ventilation volume: The ventilation volume is crucial for oxygen supply and waste gas discharge during the cow dung fermentation process. The data acquisition module monitors real-time parameters related to ventilation such as oxygen concentration and carbon dioxide concentration in the fermentation bin. The decision-making module combines the fermentation stage and real-time parameters to predict the required ventilation volume and generate control instructions. The execution module precisely adjusts the operation of the ventilation equipment, such as adjusting the fan speed and the opening degree of the ventilation outlet, to ensure sufficient oxygen in the fermentation bin and timely discharge of waste gas, avoiding the impact of insufficient oxygen or accumulation of harmful gases on the fermentation quality.

[0071] Optimize the fermentation process

[0072] Process prediction and early intervention: Through comprehensive analysis of fermentation parameters, the decision-making module can accurately predict the fermentation process. For example, based on the changing trends of parameters such as temperature, pH value, and gas composition, it can judge in advance whether the fermentation enters a critical stage or is likely to have abnormal conditions. When it is predicted that the fermentation is about to enter the heat production peak period, the heat source distribution and ventilation strategy are adjusted in advance to avoid damage to microorganisms caused by excessive temperature; when it is predicted that the fermentation may slow down due to certain factors, timely measures are taken, such as adding an appropriate amount of nutrient regulator, to promote the smooth progress of fermentation and ensure the high efficiency and stability of the fermentation process.

[0073] Adapt to different raw material characteristics: Cow dung from different sources and with different qualities has differences in fermentation characteristics. The fermentation parameters obtained in real time by the data acquisition module can reflect these differences. The decision-making module dynamically adjusts the control strategy according to these parameters, enabling the fermentation process to adapt to the characteristics of various cow dung raw materials. Whether it is cow dung with a higher water content, different organic matter contents, or cow dung with different pretreatment methods, it can achieve the optimal fermentation effect under the control of this device, improving the versatility and practicality of the device.

[0074] (2) Ensure the stability and reliability of fermentation

[0075] Real-time monitoring and timely response

[0076] Quick detection of abnormal situations: The data acquisition module continuously monitors the fermentation parameters in real time for 24 hours, enabling timely detection of abnormal situations during the fermentation process, such as sudden rises or drops in temperature, abnormal fluctuations in oxygen concentration, and excessive concentrations of harmful gases. Once an abnormality is detected, the decision-making module quickly analyzes the cause and generates corresponding control instructions, and the execution module immediately responds to adjust the actuator, minimizing the impact of the abnormal situation on the fermentation process. For example, when the temperature in the fermentation bin is detected to be abnormally high, the decision-making module determines that it may be caused by a heat source failure or poor ventilation, and immediately generates instructions to turn off some heat sources and increase the ventilation volume to avoid fermentation failure due to excessive temperature.

[0077] Enhanced stability: Through real-time monitoring and timely regulation, the fermentation process is always in a stable control environment. Whether it is the change of the external environmental temperature, the difference in the initial state of cow dung, or the influence of other unforeseen factors, the device can automatically adjust the control parameters to ensure that the fermentation conditions always meet the requirements of microbial growth and fermentation reactions. Compared with traditional fermentation methods, the stability and reliability of the fermentation process are greatly improved.

[0078] Optimization of data recording and analysis

[0079] Traceability of historical data: The intelligent control system has a data storage function and can record all parameter data during the fermentation process. These historical data provide strong support for the subsequent traceability of the fermentation process. When there are fermentation quality problems or other abnormal situations, the time nodes of problem occurrence and related parameter changes can be quickly located by querying the historical data, and the cause of the problem can be analyzed to provide a basis for solving the problem.

[0080] Continuous optimization of strategies: Through the analysis of a large amount of historical data, the decision-making module can continuously optimize the control strategies. For example, by analyzing the parameter change laws of different seasons and different cow dung raw materials during the fermentation process, more scientific and reasonable control parameter ranges and adjustment methods can be summarized to make the fermentation process more stable and efficient. With the continuous accumulation and analysis of data, the control performance of the device will be continuously improved, and the fermentation effect will also be getting better and better.

[0081] (3) Reduction of energy consumption and operating costs

[0082] Intelligent regulation reduces energy consumption

[0083] Precise distribution of heat sources: The execution module precisely distributes the heat sources according to the instructions of the decision-making module. In the initial stage of fermentation, since the heat generated by cow dung is less, the device can reduce the input of external heat sources; during the peak heat generation period of fermentation, the heat generated by cow dung itself is reasonably utilized to reduce the running time of heating equipment, thereby reducing energy consumption.

[0084] Energy-saving operation of ventilation equipment: The decision-making module precisely controls the operation of the ventilation equipment based on parameters such as the oxygen concentration monitored in real time. This avoids the long-term full-load operation of the ventilation equipment, reduces the energy consumption of the ventilation equipment while ensuring the required ventilation volume for fermentation. Through optimizing the ventilation strategy, the power consumption of the ventilation equipment can be reduced by 15 - 25%.

[0085] Reduce manual intervention and maintenance costs

[0086] Automated operation reduces labor costs: The device realizes the automated control of the fermentation process, eliminating the need for frequent manual inspections and manual adjustments. Operators only need to monitor and manage the fermentation process through the intelligent control system in the control room, greatly reducing the manual workload and labor costs. Compared with the traditional fermentation method that requires a large amount of manual participation, the labor costs can be reduced by 20 - 35%.

[0087] Precise control reduces equipment wear: Since the device can precisely control the fermentation conditions, it avoids excessive wear and failures of equipment caused by unstable fermentation environments. For example, stable temperature and ventilation conditions reduce the frequent start-stop and overloading of actuators such as heating equipment and ventilation equipment, extending the service life of the equipment and reducing equipment maintenance and replacement costs.

[0088] (4) Significant environmental protection benefits

[0089] Reduce harmful gas emissions

[0090] Gas composition monitoring and regulation: The data acquisition module monitors the harmful gas components in the fermentation tank in real time, such as ammonia and hydrogen sulfide. The decision-making module generates control instructions based on the monitoring data, combined with the fermentation process and environmental protection requirements, to adjust the ventilation volume and fermentation conditions, promoting the conversion and discharge of harmful gases, and reducing the generation of harmful gases at the same time. By optimizing the ventilation strategy and fermentation parameters, the pollution to the surrounding environment is effectively reduced.

[0091] Resource utilization of fermentation products: The device ensures the efficient progress of the cow dung fermentation process, improving the quality and yield of fermentation products (such as organic fertilizers). High-quality organic fertilizers can replace part of the chemical fertilizers, reducing the usage amount of chemical fertilizers and the negative impact of agricultural production on the environment. At the same time, the reasonable application of organic fertilizers helps to improve the soil structure, increase soil fertility, promote the sustainable development of agriculture, and achieve the dual goals of resource utilization of cow dung and environmental protection.

[0092] Meet environmental protection standards

[0093] Real-time data supports environmental protection supervision: The fermentation parameter data recorded by the intelligent control system can be used as the basis for environmental protection supervision. Relevant departments can view this data to understand whether the environmental protection indicators during the fermentation process meet the relevant national standards. The automatic control and real-time monitoring functions of the device ensure that the fermentation process is always carried out within the scope of environmental protection requirements, avoiding environmental protection penalties due to illegal emissions, and enhancing the enterprise's environmental protection image and social responsibility.

[0094] In a specific feasible embodiment, the actuator includes a stirring mechanism, a ventilation mechanism, and an electric auxiliary heating module arranged in the fermentation tank, where

[0095] the stirring mechanism is used to stir the cow dung in the fermentation tank;

[0096] the ventilation mechanism is used to ventilate the cow dung in the fermentation tank;

[0097] the electric auxiliary heating module is used to heat the cow dung in the fermentation tank.

[0098] Specifically, the beneficial effects of the actuator including a stirring mechanism, a ventilation mechanism, and an electric auxiliary heating module arranged in the fermentation tank are as follows:

[0099] (I) Improve fermentation uniformity and quality

[0100] The stirring mechanism promotes uniform fermentation

[0101] Break local differences: During the cow dung fermentation process, due to the accumulation of cow dung raw materials and fermentation products, there may be local differences in temperature, humidity, oxygen content, etc. of the cow dung at different positions in the fermentation tank. The stirring mechanism starts regularly or in real time according to fermentation parameters to fully stir the cow dung in the fermentation tank, which can break this local difference and make the cow dung more evenly distributed in the fermentation tank. For example, mixing the cow dung with a higher temperature and sufficient oxygen content in the upper layer with the cow dung with a lower temperature and relatively insufficient oxygen content in the lower layer avoids the situation of excessive or insufficient local fermentation and improves the overall fermentation quality.

[0102] Accelerate the diffusion of microorganisms: During the stirring process, the relative movement between cow dung particles increases the contact area between microorganisms and cow dung, which is beneficial to the diffusion and reproduction of microorganisms in cow dung. Microorganisms can be more evenly distributed in cow dung, giving full play to their role in decomposing organic matter, accelerating the fermentation speed, and making the content of effective components in the fermentation products more stable and rich. Compared with the fermentation device without a stirring mechanism, the organic matter content of the fermentation products is significantly increased, and the nutrient contents such as nitrogen, phosphorus, and potassium are also significantly improved.

[0103] The ventilation mechanism ensures oxygen supply and waste gas discharge

[0104] Precise oxygen supply: According to the instructions of the intelligent control system, the ventilation mechanism precisely adjusts the ventilation volume and ventilation time to provide sufficient oxygen for the cow dung in the fermentation bin. In the initial stage of fermentation, the demand for oxygen by microorganisms is relatively low, and the ventilation mechanism can operate at a relatively low ventilation volume; as fermentation progresses, the microbial activity increases, and the demand for oxygen rises. The ventilation mechanism promptly increases the ventilation volume to ensure the normal metabolism of microorganisms and the smooth progress of the fermentation reaction. Precise oxygen supply control avoids problems such as slow fermentation or the generation of odors caused by insufficient oxygen, improving the fermentation efficiency.

[0105] Timely waste discharge: During the fermentation process, waste gases such as carbon dioxide, ammonia, and hydrogen sulfide are generated. If these waste gases are not discharged in a timely manner, they will accumulate in the fermentation bin, affecting the fermentation environment and microbial activity. The ventilation mechanism can promptly discharge these waste gases from the fermentation bin, keeping the air in the fermentation bin fresh and clean. At the same time, reasonable ventilation can also carry away the excess heat generated during fermentation, helping to maintain the stability of the fermentation temperature and further optimizing the fermentation conditions.

[0106] The electric auxiliary heating module ensures an appropriate temperature

[0107] Coping with environmental changes: In the case of low environmental temperature or insufficient initial temperature of cow dung, the electric auxiliary heating module can quickly provide heat for the cow dung in the fermentation bin, raising the fermentation temperature rapidly to the range suitable for the growth of microorganisms and the progress of the fermentation reaction. Even in cold winters or at night, it can ensure the normal progress of the fermentation process, avoiding problems such as fermentation stagnation or extended fermentation cycles caused by too low temperature.

[0108] Precise temperature control: The electric auxiliary heating module can precisely control the heating power and heating time according to the temperature parameters set by the intelligent control system, achieving precise control of the fermentation temperature. Compared with traditional heating methods, the electric auxiliary heating module has the advantages of fast response speed and high temperature control accuracy. It can adjust the heating intensity in real time according to the fermentation process, ensuring that the fermentation temperature is always in the optimal range, improving the stability and reliability of fermentation.

[0109] (2) Enhancing the controllability and flexibility of the fermentation process

[0110] The coordinated cooperation of each mechanism realizes precise control

[0111] Parameter linkage adjustment: The stirring mechanism, ventilation mechanism, and electric auxiliary heating module work together under the unified command of the intelligent control system. For example, when the data acquisition module monitors an increase in the temperature inside the fermentation bin, the decision-making module can simultaneously generate control instructions to reduce the heating power of the electric auxiliary heating module and increase the ventilation volume of the ventilation mechanism to quickly lower the temperature. When the oxygen concentration is monitored to decrease, the decision-making module will instruct the ventilation mechanism to increase the ventilation volume and adjust the operation of the stirring mechanism as needed to make the oxygen more evenly distributed in the cow dung. This linkage adjustment of multiple mechanisms can accurately control the fermentation conditions according to the real-time changes of fermentation parameters, keeping the fermentation process always under control.

[0112] Adapting to the requirements of different fermentation stages: The cow dung fermentation process can be divided into different stages, and each stage has different requirements for temperature, ventilation, and stirring. In the initial stage of fermentation, a lower temperature and appropriate ventilation are required, and the stirring mechanism can gently stir to promote the attachment and growth of microorganisms. During the peak heat generation period of fermentation, ventilation needs to be strengthened to discharge heat and waste gas, and at the same time, the stirring frequency is appropriately adjusted. In the later stage of fermentation, the temperature and ventilation volume need to be reduced, and the stirring mechanism can reduce the number of stirs. Through the flexible adjustment of each actuator by the intelligent control system, the special requirements of different fermentation stages can be met, improving the fermentation effect.

[0113] Facilitating process optimization and adjustment

[0114] Data-driven optimization: The intelligent control system records the operation data of each actuator and the changes in fermentation parameters during the fermentation process. By analyzing these data, the relationship between the operation parameters of each actuator and the fermentation effect can be found, providing a basis for process optimization. For example, according to the characteristics of different seasons and different cow dung raw materials, adjust the stirring speed and time of the stirring mechanism, the ventilation volume and ventilation time of the ventilation mechanism, and the heating strategy of the electric auxiliary heating module to further improve the fermentation efficiency and quality.

[0115] Quickly responding to process changes: When it is necessary to adjust the fermentation process, such as changing the fermentation target product or adapting to new environmental protection requirements, the intelligent control system can quickly adjust the control parameters of each actuator to achieve rapid process changes. This flexibility enables the device to adapt to different production requirements and market changes, improving the versatility and competitiveness of the device.

[0116] (III) Reducing energy consumption and operating costs

[0117] Optimizing the operation of the mechanism to reduce energy consumption

[0118] Intelligent adjustment reduces energy waste: Under the precise control of the intelligent control system, each actuator can operate reasonably according to actual needs, avoiding unnecessary energy consumption. For example, the electric auxiliary heating module only starts heating when the temperature is lower than the set value, the ventilation mechanism adjusts the ventilation volume in real time according to the oxygen concentration and temperature, and the stirring mechanism determines the stirring frequency and duration according to the fermentation stage and the state of cow dung. Compared with the actuators in the traditional fixed operation mode, this device effectively reduces the operating cost.

[0119] Coordinated operation improves energy efficiency: The coordinated operation among the stirring mechanism, the ventilation mechanism and the electric auxiliary heating module can give full play to the advantages of each mechanism and improve the overall energy efficiency. For example, while promoting the uniform fermentation of cow dung, the stirring mechanism also helps to evenly distribute heat, reducing the local heating demand of the electric auxiliary heating module; while exhausting waste gas, the ventilation mechanism can use the outside cold air to appropriately cool the fermentation tank, reducing the heating burden of the electric auxiliary heating module. This synergy further reduces energy consumption.

[0120] Reduce equipment wear and maintenance costs

[0121] Reasonable operation extends equipment life: The intelligent control system reasonably controls the operation intensity and frequency of each actuator according to the fermentation parameters, avoiding excessive wear and fatigue operation of the equipment. For example, it avoids the long-term high-speed operation of the stirring mechanism and the frequent start-stop of the ventilation mechanism, extending the service life of the equipment and reducing the probability of equipment failures.

[0122] Precise control reduces the risk of failures: Since each actuator operates under precise control, the equipment failures caused by improper operation or environmental factors are reduced. For example, the electric auxiliary heating module will not be damaged due to overheating under intelligent control, and the ventilation mechanism will not malfunction due to long-term high-load operation. At the same time, the intelligent control system has a fault warning function, which can detect equipment abnormalities in advance and take timely measures, further reducing the impact of equipment failures on the fermentation process.

[0123] (4) Improve the quality of fermentation products and market competitiveness

[0124] High-quality fermentation products meet market demands

[0125] Stable and reliable quality: Through the coordinated action of the stirring mechanism, the ventilation mechanism and the electric auxiliary heating module, the stability and controllability of the cow dung fermentation process are ensured, making the quality of the fermentation products more stable and reliable. High-quality organic fertilizer products can meet the market's demand for high-quality fertilizers, increase the yield and quality of crops, and provide strong support for agricultural production.

[0126] Expand application fields and market space

[0127] Diversified product development: Due to the precise control of the fermentation process, diversified fermentation products can be developed according to different market demands. In addition to organic fertilizers, products such as biomass energy and soil conditioners can also be produced, expanding the application fields of the products.

[0128] Exploring high-end markets: High-quality fermentation products can meet the needs of high-end agriculture, ecological agriculture and other fields, providing opportunities for enterprises to explore high-end markets. By cooperating with large agricultural enterprises, planting bases, etc., the market share of products can be increased, and the economic benefits of enterprises can be enhanced.

[0129] In a specific feasible implementation, temperature sensors, humidity sensors and ammonia concentration sensors are arranged in the fermentation bin, where,

[0130] The temperature sensor is used to detect the fermentation temperature of cow dung in the fermentation bin;

[0131] The humidity sensor is used to detect the fermentation humidity of cow dung in the fermentation bin;

[0132] The ammonia concentration sensor is used to detect the ammonia concentration in the fermentation bin.

[0133] Specifically, the beneficial effects of arranging temperature sensors, humidity sensors and ammonia concentration sensors in the fermentation bin include:

[0134] (1) Precise monitoring to ensure the stability of the fermentation process

[0135] Real-time grasp of core parameters

[0136] Precise temperature control: Temperature is one of the key factors affecting the fermentation process of cow dung. The temperature sensor can detect the fermentation temperature of cow dung in the fermentation bin in real time and accurately, and feedback the temperature data to the intelligent control system. Microorganisms in different stages have specific temperature requirements. For example, the suitable temperature range for mesophilic microorganisms is usually 30-40°C, while that for thermophilic microorganisms is 50-60°C. By monitoring the temperature in real time, it can be ensured that the fermentation process is always in the temperature range where microorganisms are most active, avoiding the reduction or even death of microbial activity caused by too high or too low temperature, thus ensuring the efficient progress of the fermentation reaction.

[0137] Dynamic humidity monitoring: Humidity is also important for the fermentation of cow dung. The humidity sensor detects the humidity in the fermentation bin in real time. Appropriate humidity is conducive to the growth and metabolism of microorganisms. If the humidity is too low, the cow dung will become dry, affecting the absorption of water and the transportation of nutrients by microorganisms; if the humidity is too high, it may lead to poor ventilation in the fermentation bin and the growth of harmful microorganisms. By monitoring the humidity in real time, the intelligent control system can adjust operations such as ventilation and stirring in a timely manner according to the humidity change to maintain a suitable humidity environment in the fermentation bin.

[0138] Real-time monitoring of ammonia concentration: Ammonia is a harmful gas produced during the fermentation of cow dung. If its concentration is too high, it will not only pollute the environment but also may inhibit the activity of microorganisms and affect the fermentation effect. The ammonia concentration sensor can detect the ammonia concentration in the fermentation tank in real time. When the concentration exceeds the safety threshold, the intelligent control system can take timely measures, such as increasing the ventilation volume to reduce the ammonia concentration and ensure the smooth progress of the fermentation process.

[0139] Timely detection and handling of abnormal situations

[0140] Early warning of abnormal temperature: When the temperature sensor detects abnormal fluctuations in the temperature in the fermentation tank, such as a sudden increase or decrease, the intelligent control system will immediately issue a warning signal. Operators can promptly check the reasons based on the warning information, such as checking whether the heating equipment is faulty or whether the ventilation system is operating normally, and take corresponding measures for adjustment to avoid serious impacts on the fermentation process caused by abnormal temperature.

[0141] Intervention in abnormal humidity: When the humidity sensor detects abnormal humidity, the intelligent control system will intervene according to the preset strategy. For example, when the humidity is too low, the water spraying volume of the spraying device can be increased or the ventilation volume can be reduced to increase the humidity; when the humidity is too high, ventilation is strengthened to reduce the humidity and ensure that the humidity in the fermentation tank always remains within an appropriate range.

[0142] Response to excessive ammonia concentration: Once the ammonia concentration sensor detects that the ammonia concentration exceeds the standard, the intelligent control system will quickly start the ventilation mechanism, increase the ventilation volume, and discharge the ammonia from the fermentation tank in time. At the same time, the stirring frequency can also be adjusted to promote the volatilization and diffusion of ammonia, effectively reducing the ammonia concentration and minimizing the negative impact on the fermentation process and the environment.

[0143] (2) Optimize control to improve fermentation efficiency and quality

[0144] Provide a reliable basis for the decision-making module

[0145] Accurately predict the fermentation process: The decision-making module of the intelligent control system can, based on the data collected in real time by the temperature sensor, humidity sensor, and ammonia concentration sensor, combined with the preset fermentation model and algorithm, accurately predict the fermentation process. For example, by analyzing the changing trends of temperature and humidity, predict the growth stage of microorganisms and the rate of fermentation reactions, and thus adjust the control strategy in advance to ensure that the fermentation process proceeds as expected.

[0146] Generate scientific control instructions: Based on the data feedback from sensors, the decision-making module can generate scientific control instructions to guide the actuator for precise adjustment. For example, according to the real-time data of temperature and humidity, the decision-making module can calculate the optimal stirring speed and time of the stirring mechanism, the optimal ventilation volume and ventilation time of the ventilation mechanism, and the appropriate heating power of the electric auxiliary heating module, so that the fermentation conditions are always in the optimal state and the fermentation efficiency is improved.

[0147] Improve the quality of fermentation products

[0148] Balanced conversion of nutrients: A suitable environment of temperature, humidity and ammonia concentration is conducive to the balanced conversion of nutrients in cow dung. Under precise monitoring and control, microorganisms can fully decompose the organic matter in cow dung and convert nutrients such as nitrogen, phosphorus and potassium into forms that are more easily absorbed by plants, improving the quality of fermentation products (such as organic fertilizers). After the organic fertilizer produced by this device is applied to farmland, it can improve the soil structure, increase soil fertility and promote the growth of crops.

[0149] Reduce the residue of harmful substances: By real-time monitoring and controlling harmful gas indicators such as ammonia concentration, the residue of harmful substances in fermentation products can be effectively reduced. At the same time, suitable temperature and humidity conditions also help to inhibit the growth and reproduction of harmful microorganisms, reduce the content of pathogenic bacteria and miscellaneous bacteria in fermentation products, and improve the safety and environmental protection of fermentation products.

[0150] (III) Energy conservation and consumption reduction, reduce operating costs

[0151] Precise adjustment, avoid energy waste

[0152] Reasonably control the heating energy consumption: The temperature sensor real-time monitors the temperature in the fermentation chamber, and the intelligent control system precisely controls the operation of the electric auxiliary heating module according to the temperature data. When the temperature reaches the set value, the electric auxiliary heating module automatically stops heating or reduces the heating power to avoid energy waste caused by overheating. Compared with the fermentation device with the traditional fixed heating mode, the operating cost is effectively reduced.

[0153] Optimize the ventilation energy consumption: The humidity sensor and ammonia concentration sensor provide the basis for the operation of the ventilation mechanism. The intelligent control system reasonably adjusts the ventilation volume and ventilation time of the ventilation mechanism according to the real-time data of humidity and ammonia concentration. On the premise of meeting the fermentation requirements, avoid the ventilation mechanism running at high load for a long time, and reduce the power consumption of the ventilation equipment.

[0154] Reduce equipment wear and tear, reduce maintenance costs

[0155] Stable operation of the equipment: Since the fermentation process is carried out under precise monitoring and control, each actuator (such as the stirring mechanism, ventilation mechanism, electric auxiliary heating module, etc.) can operate stably and reasonably, reducing excessive wear and fatigue damage of the equipment. For example, the stirring mechanism will not malfunction due to long-term high-speed operation or frequent start-stop, and the ventilation mechanism will not be damaged due to long-term high-load operation, extending the service life of the equipment.

[0156] Fault warning and timely maintenance: The intelligent control system has a fault warning function. When the sensor detects abnormal data or the equipment operation is abnormal, it can issue a warning signal in a timely manner. Operators can carry out equipment maintenance and repair in advance according to the warning information, avoid the expansion of equipment failures, reduce equipment maintenance costs and downtime, and improve production efficiency.

[0157] (IV) Environmentally friendly and meeting the requirements of sustainable development

[0158] Reduce harmful gas emissions

[0159] Effective control of ammonia: The ammonia concentration sensor monitors the ammonia concentration in the fermentation tank in real time. The intelligent control system effectively controls the ammonia emissions by timely adjusting the ventilation volume and other measures. Compared with traditional fermentation devices, it reduces the pollution to the atmospheric environment and the impact on the lives of surrounding residents.

[0160] Synergistic reduction of other waste gases: While controlling the ammonia concentration, reasonable ventilation adjustment also helps to reduce the emissions of other harmful gases (such as hydrogen sulfide, methane, etc.) generated during the fermentation process. By optimizing the fermentation conditions, promoting the transformation and decomposition of harmful gases, the negative impact of the fermentation process on the environment is further reduced.

[0161] Resource recycling and environmental protection

[0162] Resource utilization of cow dung: The device realizes the efficient fermentation treatment of cow dung, converts cow dung into resource products such as high-quality organic fertilizers, realizes the resource utilization of cow dung, reduces the environmental pollution and land occupation caused by cow dung. At the same time, the use of organic fertilizers can reduce the application amount of chemical fertilizers, reduce the environmental pressure of agricultural production, and promote the sustainable development of agriculture.

[0163] In a specific feasible implementation, the intelligent control system includes: a mode switching module, wherein,

[0164] The mode switching module is used to set the fuel mode or the organic fertilizer mode.

[0165] Specifically, the beneficial effects of the intelligent control system including the mode switching module include:

[0166] (I) Meet diverse production needs and enhance the versatility of the device

[0167] Fuel Mode: Expanding Energy Utilization Pathways

[0168] Meeting Energy Market Demands: When the energy market has strong demand for biomass energy, users can select the fuel mode. During the fermentation of cow dung, the intelligent control system precisely regulates the fermentation parameters to optimize the output of biomass fuel. For example, under specific temperature, humidity, and ventilation conditions, components such as cellulose and hemicellulose in cow dung can be more fully converted into combustible gases (such as biogas) or solid biomass fuels (such as pellet fuels). Taking biogas as an example, in the fuel mode, by precisely controlling the environmental parameters in the fermentation tank, the biogas production can be increased to meet the energy demands of surrounding residents or small enterprises, such as for cooking, heating, or power generation, realizing diversified energy supply.

[0169] Processing Special Cow Dung Raw Materials: In certain special cases, such as when a large amount of undigested feed components are contained in the cow dung from a farm, these components have relatively high energy potential. In the fuel mode, the intelligent control system can adjust the fermentation strategy to promote the conversion of these energy components and increase the calorific value of the biomass fuel. Compared with traditional treatment methods, the calorific value of the biomass fuel produced in this mode can be increased, making it more suitable for use as energy and broadening the processing and application scope of cow dung.

[0170] Organic Fertilizer Mode: Serving Agricultural Production

[0171] Producing High-Quality Organic Fertilizer: When the demand for organic fertilizer in agricultural production is large, users switch to the organic fertilizer mode. The intelligent control system precisely controls parameters such as temperature, humidity, ventilation, and agitation during the fermentation process according to the technological requirements of organic fertilizer production, promoting the decomposition and conversion of organic matter in cow dung to produce high-quality organic fertilizer rich in nutrients such as nitrogen, phosphorus, and potassium. For example, by reasonably controlling the fermentation temperature between 50 - 60 °C, the decomposition of organic matter in cow dung by microorganisms is accelerated, and the effective nutrient content in the organic fertilizer meets the growth requirements of crops.

[0172] Improving Soil Quality: After applying the organic fertilizer produced by this device in the organic fertilizer mode to farmland, it can improve the soil structure, increase the soil organic matter content, and enhance the soil's water and fertilizer retention capacity.

[0173] (II) Optimizing the Production Process and Improving Production Efficiency

[0174] Quick and Convenient Mode Switching

[0175] Reduce production interruption time: The mode switching module is designed simply and is easy to operate. Users can quickly switch between the fuel mode and the organic fertilizer mode according to market demands and production plans. Compared with the traditional production method that requires readjusting equipment parameters and technological processes, it greatly reduces production interruption time and improves production efficiency. For example, when there are seasonal demand changes in the energy market and the agricultural market, enterprises can quickly adjust the production mode to meet market demands in a timely manner.

[0176] Lower operation difficulty: The mode switching module adopts an intelligent interface design. Operators can complete mode switching by simply pressing buttons or touching the screen. There is no need for professional technicians to perform complex parameter settings and equipment debugging, which reduces operation difficulty and labor costs. Even ordinary employees can master mode switching operations proficiently after simple training, improving the flexibility and operability of production.

[0177] Targeted control of fermentation parameters

[0178] Precise regulation in the fuel mode: In the fuel mode, the intelligent control system adjusts fermentation parameters specifically according to the characteristics of biomass fuel production. For example, increasing the fermentation temperature to promote the decomposition of difficult-to-degrade substances such as cellulose by microorganisms, and increasing the ventilation volume to provide sufficient oxygen to meet the metabolic needs of microorganisms such as methanogens. Through these precise regulations, the fermentation cycle of biomass fuel can be shortened, and production efficiency can be improved. Compared with traditional fermentation methods, the timeliness of energy production is improved.

[0179] Optimized control in the organic fertilizer mode: In the organic fertilizer mode, the intelligent control system focuses on controlling nutrient conversion and degree of maturity during the fermentation process. By reasonably adjusting temperature and humidity, it promotes the growth and reproduction of beneficial microorganisms, accelerates the decomposition and transformation of organic matter, and enables the organic fertilizer to reach the best state of maturity. At the same time, it controls the emission of harmful gases during the fermentation process, reducing the impact on the environment. The optimized fermentation process can improve the quality and production efficiency of organic fertilizers, meeting the needs of large-scale agricultural production.

[0180] (III) Reduce production costs and enhance economic benefits

[0181] Efficient utilization of resources

[0182] Resource coordination in energy and fertilizer production: The mode switching module enables the flexible allocation of cow dung resources between fuel and organic fertilizer production, achieving efficient utilization of resources. In the fuel mode, biogas and other biomass energy generated can be used for the operation of the device itself or other energy needs, reducing dependence on external energy and lowering energy costs. At the same time, the fermented residue can still be used as raw material for organic fertilizers and further processed into organic fertilizers, achieving the maximum utilization of resources.

[0183] Reduce waste treatment costs: Traditional methods of cow dung treatment often require a large amount of capital for waste transportation, landfill, or incineration. However, through mode switching, this device converts cow dung into valuable energy and fertilizer products, not only reducing waste generation but also avoiding waste treatment costs.

[0184] Adapt to market price fluctuations

[0185] Flexibly respond to market changes: When the market price of biomass energy is high, enterprises can choose the fuel mode, produce biomass fuel and sell it to obtain higher profits. Conversely, when the market demand for organic fertilizers is strong and the price is good, switch to the organic fertilizer mode and produce organic fertilizers for the market. This strategy of flexibly adjusting the production mode according to market price fluctuations enables enterprises to gain an advantage in market competition and improve their risk resistance and profitability.

[0186] Increase product added value: Through the mode switching module, enterprises can produce different types of products according to market demand, increasing the added value of products. For example, processing cow dung into high-value-added biomass pellet fuel or high-quality organic fertilizer brings higher economic benefits to enterprises compared to traditional cow dung treatment methods.

[0187] (IV) Meet the requirements of environmental protection and sustainable development

[0188] Reduce environmental pollution

[0189] Clean energy production in the fuel mode: In the fuel mode, biomass energy such as biogas generated by the fermentation of cow dung is a clean energy source, and the pollutants generated during the combustion process are less. Compared with traditional fossil energy, the use of biomass energy can significantly reduce the emissions of pollutants such as carbon dioxide, sulfur dioxide, and nitrogen oxides, reducing pollution to the atmospheric environment.

[0190] Soil improvement in the organic fertilizer mode: In the organic fertilizer mode, the organic fertilizers produced can improve soil quality and reduce the use of chemical fertilizers after being applied to farmland. Excessive use of chemical fertilizers can cause environmental problems such as soil compaction and water eutrophication, while the use of organic fertilizers can reduce these environmental risks. At the same time, the microorganisms and organic matter in organic fertilizers can promote the balance of the soil ecosystem, improve the self-purification ability of the soil, and reduce agricultural non-point source pollution.

[0191] In a specific feasible implementation, the decision-making module uses an LSTM neural network to predict the fermentation process of cow dung in the fermentation tank. It includes:

[0192] Determine that fermentation is complete by monitoring the pH rising from 6.0 to 7.5 and the moisture content dropping to 40%.

[0193] Termination conditions: pH is stable at 7.0, moisture content is 50%, and ammonia concentration is below 50 ppm.

[0194] Specifically, the beneficial effects of the decision-making module using an LSTM neural network to predict the fermentation process of cow dung in the fermentation bin include:

[0195] (1) Accurately predicting the fermentation process and ensuring production stability

[0196] Capturing complex time series features

[0197] The dynamics of cow dung fermentation data: Cow dung fermentation is a complex biochemical process, and parameters such as temperature, humidity, and ammonia concentration change continuously over time, and there are complex non-linear relationships between these changes. The LSTM (Long Short-Term Memory) neural network has a unique gating mechanism, including an input gate, a forget gate, and an output gate, which can effectively capture the long-term dependence relationships of these parameters in the time series. For example, in the initial stage of fermentation, the temperature may rise slowly, and as the microbial activity intensifies, the temperature will rise rapidly and tend to be stable. The LSTM neural network can learn this dynamic pattern of temperature change, thereby more accurately predicting the subsequent temperature change trend.

[0198] Coping with environmental interference factors: The fermentation process may be affected by external environmental factors, such as temperature fluctuations and ventilation condition changes. The LSTM neural network can, through the analysis of historical data, identify the influence patterns of these interference factors on the fermentation process and make corresponding adjustments in the prediction. For example, when the external temperature suddenly rises, the LSTM neural network can, based on the changes in fermentation parameters in similar situations in historical data, predict the corresponding changes in parameters such as temperature and humidity in the current fermentation bin, and take measures in advance for regulation to ensure the stable progress of the fermentation process.

[0199] Improving prediction accuracy

[0200] Multi-parameter fusion prediction: The decision-making module uses an LSTM neural network, taking multiple parameters collected by temperature sensors, humidity sensors, and ammonia concentration sensors as inputs for comprehensive analysis and prediction. Compared with traditional single-parameter prediction methods, multi-parameter fusion prediction can more comprehensively reflect the actual situation of the fermentation process and improve the prediction accuracy. For example, when the temperature and humidity change simultaneously, the LSTM neural network can comprehensively consider the influence of these two parameters on the fermentation process and predict a more accurate fermentation stage and product generation situation.

[0201] Reducing prediction errors: Through the learning and training of a large amount of historical fermentation data, the LSTM neural network can continuously optimize its own model parameters and improve the prediction accuracy.

[0202] (2) Optimize control strategies to improve fermentation efficiency and quality

[0203] Formulate control plans in advance

[0204] Control decision based on prediction results: The decision-making module formulates corresponding control strategies in advance according to the prediction results of the LSTM neural network on the fermentation process. For example, when it is predicted that the fermentation temperature will rise in the future for a period of time, the decision-making module can adjust the ventilation volume or heating power in advance to keep the temperature within an appropriate range. This way of advance control can avoid large fluctuations in fermentation parameters, ensure the stable progress of the fermentation process, and improve fermentation efficiency.

[0205] Meet the requirements of different fermentation stages: The cow dung fermentation process can be divided into different stages, and each stage has different requirements for parameters such as temperature and humidity. The LSTM neural network can accurately predict the fermentation stage and formulate corresponding control strategies according to the characteristics of this stage. For example, in the initial stage of fermentation, a higher humidity is required to promote the growth and reproduction of microorganisms, and the decision-making module can appropriately increase the water spraying volume of the spraying device according to the prediction results; while in the later stage of fermentation, in order to promote the decomposition and transformation of organic matter, it may be necessary to reduce the humidity and increase the ventilation volume, and the decision-making module can timely adjust the control parameters to meet the requirements of different fermentation stages.

[0206] Improve the quality of fermentation products

[0207] Precisely control fermentation conditions: Through the accurate prediction of the LSTM neural network and the optimized control of the decision-making module, more suitable environmental conditions can be provided for cow dung fermentation. Appropriate conditions such as temperature, humidity, and ammonia concentration are conducive to the growth and metabolism of microorganisms, promoting the full decomposition and transformation of organic matter, thereby improving the quality of fermentation products. For example, in the production of organic fertilizers, precisely controlled fermentation conditions can make the content of effective nutrients in the organic fertilizers higher and the content of harmful substances lower, improving the quality and market competitiveness of organic fertilizers.

[0208] Reduce the defective rate: Traditional fermentation control methods often have difficulty in accurately grasping the fermentation process in real time, and it is easy to have situations of over-fermentation or under-fermentation, resulting in a relatively high defective rate. After using the LSTM neural network for fermentation process prediction and optimized control, abnormal situations in the fermentation process can be detected in time and corresponding measures can be taken for adjustment, effectively reducing the production of defective products.

[0209] (3) Reduce operating costs and improve economic benefits

[0210] Reduce energy consumption

[0211] Precisely control heating and ventilation equipment: The accurate prediction of the fermentation process by the LSTM neural network enables the decision-making module to precisely control the operation of heating and ventilation equipment according to actual needs. For example, when it is predicted that the fermentation temperature can naturally meet the requirements, the decision-making module can reduce the operation time or lower the heating power of the heating equipment to avoid unnecessary energy waste. Similarly, in terms of ventilation control, according to the predicted changes in ammonia concentration and humidity, the ventilation volume can be reasonably adjusted to ensure the suitability of the fermentation environment while reducing the energy consumption of the ventilation equipment.

[0212] Optimize equipment operation strategies: Through the prediction of the fermentation process, the decision-making module can formulate more reasonable equipment operation strategies to avoid frequent start-stop and overload operation of the equipment. For example, according to the predicted fermentation stage and parameter changes, arrange the maintenance and repair time of the equipment in advance, reduce the occurrence of equipment failures, extend the service life of the equipment, and reduce equipment maintenance costs and energy consumption.

[0213] Improve resource utilization rate

[0214] Rationally utilize raw materials: The prediction function of the LSTM neural network helps the decision-making module to more rationally utilize cow dung raw materials. According to the predicted fermentation process and product generation, the input amount and input time of raw materials can be accurately controlled to avoid waste of raw materials. For example, during the fermentation process, according to the predicted microbial growth and organic matter decomposition rate, appropriate amounts of cow dung raw materials are supplemented in a timely manner to ensure the continuous and stable progress of the fermentation process and improve the utilization rate of raw materials.

[0215] Realize resource recycling: The application of this decision-making module helps to realize resource recycling in the cow dung fermentation process. For example, through accurate prediction and control of fermentation conditions, energy such as biogas generated during fermentation can be collected and utilized, and at the same time, the residues after fermentation can be further processed into organic fertilizers or other valuable products to achieve the maximum utilization of resources, reduce production costs, and improve the economic benefits of enterprises.

[0216] (4) Enhance the adaptability and intelligence level of the system

[0217] Adapt to different fermentation conditions and raw material characteristics

[0218] Process diverse fermentation data: The characteristics of cow dung raw materials may vary in different regions and different farms, and the environmental conditions during the fermentation process will also be different. The LSTM neural network has strong learning and adaptation capabilities and can automatically adjust model parameters by learning different fermentation data to adapt to different fermentation conditions and raw material characteristics. For example, for cow dung raw materials with higher water content or lower organic matter content, the LSTM neural network can accurately predict the fermentation process and formulate appropriate control strategies by learning the corresponding situations in historical data.

[0219] Handling emergencies: During the fermentation process, some emergencies may occur, such as equipment failures and sudden changes in the external environment. The LSTM neural network can quickly predict the impact of these emergencies on the fermentation process based on real-time collected data and historical experience, and timely adjust the control strategy to ensure the smooth progress of the fermentation process. For example, when a ventilation equipment fails and the ammonia concentration rises, the decision-making module can quickly take measures such as increasing standby ventilation equipment or adjusting other control parameters according to the prediction results of the LSTM neural network to reduce the ammonia concentration and avoid serious impacts on the fermentation process.

[0220] Achieving intelligent decision-making

[0221] Automation control and optimization: The decision-making module uses the LSTM neural network to predict the fermentation process, realizing the automation control and optimization of the fermentation process. Without frequent manual intervention, the system can automatically adjust the control parameters according to the prediction results, improving production efficiency and the accuracy of decision-making. For example, at night or when there is a shortage of personnel, the system can still operate normally to ensure the continuity and stability of the fermentation process.

[0222] Continuous learning and improvement: The LSTM neural network has the ability of continuous learning. As the fermentation data accumulates, the model can be continuously optimized and improved to improve the accuracy of prediction and the scientific nature of decision-making. Enterprises can update the model parameters regularly to keep the system in the best decision-making state at all times and adapt to the changing production requirements and market environment.

[0223] In a specific feasible implementation, the intelligent control system includes: a data preprocessing module, where

[0224] The data preprocessing module is used to filter out noise signals to obtain the fermentation parameters.

[0225] In a specific feasible implementation, the fermentation tank is made of stainless steel.

[0226] In a specific feasible implementation, the fermentation parameters include the temperature, moisture content, and ammonia concentration of cow dung.

[0227] In a specific feasible implementation, fuel base material production:

[0228] Input 800 kg of cow dung with a moisture content of 80%.

[0229] Select the fuel mode, and the system automatically configures the parameters:

[0230] The target temperature is 58 °C, the ventilation volume is 12 L / min, and the fermentation cycle is 60 hours.

[0231] The AI algorithm determines that the fermentation is complete by monitoring the pH rising from 6.0 to 7.5 and the moisture content dropping to 40%.

[0232] In a specific feasible implementation, the production of organic fertilizer base material:

[0233] Input 1000 kg of cow dung with a water content of 80%.

[0234] Select the organic fertilizer mode, and the system configuration:

[0235] The target temperature is 42 °C, the ventilation volume is 25 L / min, and the fermentation period is 84 hours.

[0236] Termination conditions: The pH is stable at 7.0, the water content is 50%, and the ammonia concentration is lower than 50 ppm.

[0237] In Figure 2 this application embodiment provides a method for coupling cow dung fermentation with intelligent material production, including the following steps:

[0238] Use the data acquisition module to monitor the fermentation parameters of cow dung in the fermentation tank in real time;

[0239] Use the decision-making module to predict the fermentation process of cow dung in the fermentation tank based on the fermentation parameters and generate control instructions;

[0240] Use the execution module to adjust the actuator according to the control instructions.

[0241] In the above technical solution, by setting up a fermentation tank and an intelligent control system, the intelligent control system includes: a data acquisition module for monitoring the fermentation parameters of cow dung in the fermentation tank in real time; a decision-making module for predicting the fermentation process of cow dung in the fermentation tank based on the fermentation parameters and generating control instructions; an execution module for adjusting the actuator according to the control instructions; realizing real-time monitoring of the cow dung state, dynamically adjusting the temperature, ventilation volume and heat source distribution, and ensuring the optimal fermentation conditions.

[0242] In a specific feasible implementation, it further includes:

[0243] Use the mode switching module to set the fuel mode or the organic fertilizer mode.

[0244] Specifically, the fuel mode - the target temperature is 55 - 60 °C, the ventilation volume is 10 - 15 L / min, and the fermentation period is 48 - 72 hours.

[0245] The organic fertilizer mode - the target temperature is 35 - 45 °C, the ventilation volume is 20 - 30 L / min, and the fermentation period is 72 - 144 hours.

[0246] The dual-mode switching logic is:

[0247] When "fuel mode" is selected, the system preferentially raises the temperature to 55 °C and reduces the ventilation volume to 10 L / min.

[0248] When "organic fertilizer mode" is selected, maintain the temperature at 40 °C and increase the ventilation to 25 L / min.

[0249] Those skilled in the art of the present application know that the present application can be implemented as a system, a method, or a computer program product.

[0250] Therefore, the present disclosure can be specifically implemented in the following forms: it can be completely hardware, can be completely software (including firmware, resident software, microcode, etc.), or can be a combination of hardware and software, which is generally referred to as "circuit", "module", or "system" in this article. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable media, which contains computer-readable program code.

[0251] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application. On this basis, various substitutions and improvements can be made to the present application, and these all fall within the protection scope of the present application.

Claims

1. A cow dung fermentation coupled intelligent feed production machine, characterized in that, Comprising: A fermentation tank and an intelligent control system, wherein, The intelligent control system includes: A data acquisition module for real-time monitoring of the fermentation parameters of cow dung in the fermentation tank; A decision-making module for predicting the fermentation process of cow dung in the fermentation tank based on the fermentation parameters and generating control instructions; An execution module for adjusting the actuator according to the control instructions.

2. The cow dung fermentation coupled intelligent material production machine according to claim 1, wherein The actuator includes a stirring mechanism, a ventilation mechanism and an electric auxiliary heating module arranged in the fermentation tank, wherein, The stirring mechanism is used for stirring the cow dung in the fermentation tank; The ventilation mechanism is used for ventilating the cow dung in the fermentation tank; The electric auxiliary heating module is used for heating the cow dung in the fermentation tank.

3. The cow dung fermentation coupled intelligent feed production machine according to claim 2, characterized in that, A temperature sensor, a humidity sensor and an ammonia concentration sensor are arranged in the fermentation tank, wherein, The temperature sensor is used for detecting the fermentation temperature of cow dung in the fermentation tank; The humidity sensor is used for detecting the fermentation humidity of cow dung in the fermentation tank; The ammonia concentration sensor is used for detecting the ammonia concentration in the fermentation tank.

4. The cow dung fermentation coupled intelligent feed production machine according to claim 3, characterized in that The intelligent control system includes: a mode switching module, wherein, The mode switching module is used for setting a fuel mode or an organic fertilizer mode.

5. The cow dung fermentation coupled intelligent feed production machine according to claim 4, wherein The decision-making module uses an LSTM neural network to predict the fermentation process of cow dung in the fermentation tank.

6. The cow dung fermentation coupled intelligent material production machine according to claim 5, wherein, The intelligent control system includes: a data preprocessing module, wherein, The data preprocessing module is used for filtering out noise signals to obtain the fermentation parameters.

7. The cow dung fermentation coupled intelligent feeding machine according to claim 6, characterized in that, The fermentation tank is made of stainless steel.

8. The cow dung fermentation coupled intelligent feeding machine according to claim 7, characterized in that, The fermentation parameters include the temperature, moisture content and ammonia concentration of cow dung.

9. A method for coupling cow dung fermentation with intelligent feed production, characterized in that, Including the following steps: Using the data acquisition module to real-time monitor the fermentation parameters of cow dung in the fermentation tank; Using the decision-making module to predict the fermentation process of cow dung in the fermentation tank based on the fermentation parameters and generate control instructions; Using the execution module to adjust the actuator according to the control instructions.

10. The cow dung fermentation coupled intelligent feeding method according to claim 9, characterized in that, Also including: Using the mode switching module to set a fuel mode or an organic fertilizer mode.

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