Farm waste gas purification system and related equipment

Abstract

The invention provides a livestock farm waste gas purification system and related equipment. The system comprises a multi-source heterogeneous sensing module, a data processing module, a main control module, a chemical decomposition system, a biological filtration system, a waste liquid treatment system and a fault diagnosis system, wherein the multi-source heterogeneous sensing module is responsible for sensing each state parameter of a target farm and transmitting the state parameters to the data processing module; the data processing module is responsible for receiving the state parameters of the target farm transmitted by the multi-source heterogeneous sensing module, preprocessing the state parameters, and transmitting the obtained target multivariate data to the main control module; the control system is used for performing fusion processing on the target multivariate data and generating control decisions for the chemical decomposition system, the biological filtration system and the waste liquid treatment system; and each control decision is transmitted to the chemical decomposition system, the biological filtration system and the waste liquid treatment system so as to control the chemical decomposition system, the biological filtration system and the waste liquid treatment system to purify waste gas discharged from the target farm.

Description

Technical Field

[0001] This application relates to the technical field of breeding waste gas management, and particularly relates to an exhaust gas purification system and related equipment for a breeding farm. Background Art

[0002] With the continuous advancement of the livestock and poultry breeding industry towards large-scale and intensive directions, intensive breeding farms, by virtue of their effective utilization of vertical space, have achieved a high land utilization rate, and possess good biosafety and a high level of intelligence, gradually becoming one of the important ways of intensive breeding. However, although intensive breeding farms have excellent ventilation conditions, they also lead to a wider and faster spread of odors, and the subsequent problem of malodor pollution is becoming increasingly severe. The harmful gases emitted by intensive breeding farms not only have an adverse impact on the surrounding environment and climate, but also seriously threaten the health of humans and livestock. Therefore, it is extremely urgent to purify the exhaust gas generated by intensive breeding farms.

[0003] The exhaust gas generated by intensive breeding farms has a complex composition, the physical and chemical properties of different pollutants vary, and the concentration is relatively low, which has restricted the development of exhaust gas purification technologies. The commonly used exhaust gas purification technologies for intensive breeding farms are "source control", "process management", and "end purification". Among them, "end purification" is regarded as a key measure for exhaust gas emission pollution treatment because it is easier to combine with mechanical control, has the advantages of high purification efficiency, reliable operation, simple operation, etc., and can also reduce the risk of air-source disease transmission in intensive breeding farms.

[0004] In the actual application process, the "end purification" technology for the exhaust gas of intensive breeding farms is to use chemical methods or biological methods at the end of the breeding farm to treat the exhaust gas discharged from the pig houses. Although the biological method has a long reaction time and is easy to maintain, this method has a large floor area and low purification efficiency, and the biological molecular protein is also prone to clogging the sewage pipes; the chemical method has a short reaction time, is highly efficient and controllable in deodorization and ammonia removal, has good stability and a small floor area, but the chemical method consumes a large amount of electricity and water, and mainly relies on manual regulation, with low operability. Given the high breeding density in the floor pig houses and the high ammonia concentration in the pig houses, the operation requirements for the purification system are quite high. Therefore, on the basis of ensuring normal ventilation in intensive breeding farms, how to ensure the stability, operation efficiency of the exhaust gas purification system in intensive breeding farms and reduce its operation energy consumption has always been a matter of concern. Summary of the Invention

[0005] This application aims to at least solve one of the above technical defects. In view of this, this application provides an exhaust gas purification system and related equipment for a breeding farm to solve the technical defect of difficult exhaust gas purification in the prior art.

[0006] A waste gas purification system for a farm, the system comprising: a multi-source heterogeneous perception module, a data processing module, a main control module, a chemical decomposition system, a biological filtration system, a waste liquid treatment system, and a fault diagnosis system; wherein, the multi-source heterogeneous perception module is responsible for perceiving each state parameter of the target farm and transmitting it to the data processing module; the data processing module is responsible for preprocessing each state parameter of the target farm transmitted by the multi-source heterogeneous perception module and transmitting the obtained target multi-source data to the main control module; the main control module is responsible for performing fusion processing on the target multi-source data, generating control decisions for the chemical decomposition system, the biological filtration system, and the waste liquid treatment system, and respectively transmitting the control decisions of the chemical decomposition system, the biological filtration system, and the waste liquid treatment system to the chemical decomposition system, the biological filtration system, and the waste liquid treatment system to control the chemical decomposition system, the biological filtration system, and the waste liquid treatment system to purify the waste gas discharged from the target farm.

[0007] Preferably, the waste gas purification system for the farm further comprises a fault diagnosis system; the fault diagnosis system is used for receiving and processing the fault information fed back by the main control module when the waste gas purification system for the farm fails, and giving the fault information and fault solution of the waste gas purification system for the farm.

[0008] Preferably, the target farm includes a waste gas purification platform, the waste gas purification platform comprising a plurality of spray valves, a pH sensor, a water pump, an acid solution tank, and a packing structure; the chemical decomposition system is responsible for controlling the spray valves corresponding to the acid solution tank of the waste gas purification platform, spraying the acid solution in the acid solution tank into the packing structure of the waste gas purification platform, so that the packing structure of the waste gas purification platform removes ammonia in the waste gas discharged from the target farm through a chemical reaction; when the pH sensor detects that the pH of the acid solution in the acid solution tank is higher than a preset first threshold, the water pump corresponding to the acid solution tank is started, and concentrated acid with a preset first concentration is added to the acid solution tank to reduce the pH of the acid solution in the acid solution tank and maintain the ammonia-neutralizing ability of the acid solution in the acid solution tank.

[0009] Preferably, the target farm includes a waste gas purification platform, the waste gas purification platform comprising a plurality of spray valves, a biological solution tank, and a packing structure, the biological filtration system is responsible for controlling the spray valves corresponding to the biological solution tank, spraying the biological solution in the biological solution tank into the corresponding packing structure of the waste gas purification platform, so as to decompose and remove organic pollutants in the waste gas discharged from the target farm by the metabolic action of microorganisms in the biological solution.

[0010] Preferably, the target farm includes an exhaust gas purification platform, and the waste liquid treatment system is responsible for removing pollutants in the wastewater generated during the process of the exhaust gas purification platform of the target farm treating the exhaust gas discharged from the target farm, so as to ensure that it meets the discharge standards.

[0011] Preferably, the process of the multi-source heterogeneous perception module perceiving various state parameters of the target farm and transmitting them to the data processing module includes: the multi-source heterogeneous perception module receiving the state data collected by various types of sensors deployed in the target farm, and analyzing the state data collected by each sensor to determine various state parameters of the target farm; After classifying the determined various state parameters of the target farm, transmit them to the data processing module.

[0012] Preferably, the process of the data processing module receiving various state parameters of the target farm transmitted by the multi-source heterogeneous perception module and preprocessing them to obtain target multi-source data includes: receiving various state parameters of the target farm transmitted by the multi-source heterogeneous perception module; performing data cleaning on the received various state parameters to eliminate incorrect and duplicate data, and obtaining first data; performing data conversion on the first data to obtain second data; performing classification processing, data integration processing, and feature extraction processing on the second data to obtain the target multi-source data.

[0013] Preferably, the process of the main control module performing fusion processing on the target multi-source data and generating control decisions for the chemical decomposition system, the biological filtration system, and the waste liquid treatment system includes: receiving the target multi-source data; analyzing the target multi-source data, and determining the weight coefficients of various state parameters of the target farm based on the influence factors of each state data in the target multi-source data on the exhaust gas purification work of the target farm; based on the weight coefficients of various state parameters of the target farm, determining the relative weights of various state parameters for the chemical decomposition system, the biological filtration system, and the waste liquid treatment system; and determining control decisions for the chemical decomposition system, the biological filtration system, and the waste liquid treatment system according to the relative weights of the chemical decomposition system, the biological filtration system, and the waste liquid treatment system and various state parameters.

[0014] A farm exhaust gas purification device includes: one or more processors, and a memory; computer-readable instructions are stored in the memory, and when the computer-readable instructions are executed by the one or more processors, the implementation process of the farm exhaust gas purification system as described in any one of the foregoing introductions is realized.

[0015] A readable storage medium stores computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors implement the implementation process of the farm waste gas purification system described in any one of the foregoing introductions.

[0016] As can be seen from the above introduction, when it is necessary to purify the waste gas discharged from a farm with low energy consumption and high efficiency, the present application can provide a farm waste gas purification system, which includes a multi-source heterogeneous perception module, a data processing module, a main control module, a chemical decomposition system, a biological filtration system, a waste liquid treatment system, and a fault diagnosis system; among them, the multi-source heterogeneous perception module can be responsible for perceiving various state parameters of the target farm and transmitting them to the data processing module; through the multi-source heterogeneous perception module, various states of the target farm can be effectively collected, and through each state parameter, the waste gas state and concentration of the target farm can be effectively understood so as to better determine the waste gas purification plan for the target farm. The data processing module can be responsible for preprocessing the various state parameters of the target farm transmitted by the multi-source heterogeneous perception module and transmitting the obtained target multi-source data to the main control module; the main control module is responsible for fusing and processing the target multi-source data, generating control decisions for the chemical decomposition system, the biological filtration system, and the waste liquid treatment system, and respectively transmitting the control decisions of the chemical decomposition system, the biological filtration system, and the waste liquid treatment system to the chemical decomposition system, the biological filtration system, and the waste liquid treatment system to control the chemical decomposition system, the biological filtration system, and the waste liquid treatment system to purify the waste gas discharged from the target farm.

[0017] As can be seen from the above description, the present application can combine the structural characteristics of the centralized ventilation type of the farm and the waste gas emission characteristics, and on the basis of realizing the efficient purification of the waste gas of the farm, taking into account the initial investment cost and operation and maintenance costs of the waste gas treatment of the farm, has the advantages of high-efficiency purification and low energy consumption, and is of great significance for the optimized design of the livestock and poultry breeding waste gas purification spray system and the selection of supporting equipment. Brief Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 It is a schematic diagram of the system architecture for realizing the purification of farm waste gas provided by the present application; Figure 2 It is a schematic diagram of the structure of a pig house waste gas purification test platform provided by the present application; Figure 3 Schematic diagram of the structure of an intelligent pigsty waste gas purification system provided by this application; Figure 4 Flowchart of a method for realizing waste gas treatment in a farm provided by this application; Figure 5 Schematic diagram of the research framework of a pigsty waste gas purification system provided by this application; Figure 6 Flowchart of an adaptive decision-making mechanism for waste gas treatment in a farm provided by this application; Figure 7 Schematic diagram of the architecture of a pigsty waste gas purification control system provided by this application; Figure 8 Schematic diagram of the structure of a waste gas purification device in a farm exemplified by this application; Figure 9 Hardware structure block diagram of a waste gas purification device in a farm disclosed by this application. Detailed implementation manners

[0020] Next, the technical solutions in the embodiments of this application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the protection scope of this application.

[0021] Currently, for the "end purification solution", intensive pigsties mostly use fillers such as sunshade nets, paper water curtains, and polypropylene hollow balls to treat waste gas through spraying and washing. There is a lack of dynamic perception of the air resistance, fan pressure drop, and waste gas components in the farm, and the control is relatively rough. Through investigation, it is found that after running for a period of time, fillers such as sunshade nets and paper water curtains are prone to blockage, thus affecting the ventilation of the farm. Due to the lack of a water circulation recovery design, the atomized water vapor drifts outside the shed with the ventilation, resulting in serious water waste. In addition, when replacing the filler for this waste gas treatment method, manual operation is required, which is not conducive to biological safety.

[0022] In view of the fact that most of the current waste gas purification solutions in farms are difficult to meet the complex and changeable business requirements, for this reason, the applicant has studied a waste gas purification solution for farms. This waste gas purification system for farms can combine the structural characteristics of the centralized ventilation type of farms and the waste gas emission characteristics, and on the basis of realizing efficient purification of the waste gas in the farms, take into account the initial investment cost and operation and maintenance costs of waste gas treatment in the farms, and has the advantages of high-efficiency purification and low energy consumption, which is of great significance for the optimized design of the waste gas purification spray system for livestock and poultry breeding and the selection of supporting equipment.

[0023] The method provided by the embodiments of the present application can be used in many general or special computing device environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor devices, distributed computing environments including any of the above devices or equipment, and so on.

[0024] The embodiments of the present application provide an intelligent management system for fattening pig breeding. This method can be applied to various waste gas purification treatment systems, and can also be applied to various computer terminals or intelligent terminals. Its execution subject can be the processor or server of a computer terminal or an intelligent terminal.

[0025] Next, in combination with Figure 1 , an optional system architecture that can achieve efficient and low-energy consumption waste gas purification treatment given by the embodiments of the present application will be introduced. As Figure 1 shown, this system architecture may include: a multi-source heterogeneous perception module, a data processing module, a main control module, a chemical decomposition system, a biological filtration system, a waste liquid treatment system, and a fault diagnosis system.

[0026] In the actual application process, the current livestock and poultry breeding industry is continuously developing towards large-scale and intensive directions. In order to improve land utilization rate, many farms choose to carry out intensive breeding.

[0027] For example, during the process of raising pigs, some farms use floor pig houses for breeding. In the actual application process, the biological method has a long reaction time, is easy to maintain, but has a large floor area, low purification efficiency, and the biological molecular protein is easy to block the pipeline. The chemical method has a short reaction time, is highly efficient and controllable in deodorizing and removing ammonia, has good stability and a small floor area, but consumes a large amount of electricity and water, and mainly relies on manual regulation. And the breeding density of the floor pig house is large, and the ammonia concentration in the pig house is high, which requires a high operation requirement for the purification system. Therefore, on the premise of ensuring normal ventilation of the floor pig house, the stability, operation efficiency and operation energy consumption of the waste gas purification system in the floor pig house must be considered.

[0028] Therefore, in order to build a more efficient and low-energy consumption waste gas purification solution at the end of the farm, it is necessary to comprehensively understand the environment of the farm. And for different types of farms, the environment of the farm is also different.

[0029] In the actual application process, the exhaust gas components of a farm are generally relatively complex. For example, the exhaust gas components of a farm may contain various pollutants such as ammonia, hydrogen sulfide, and methane. In response to the requirements for exhaust gas purification treatment of the target farm, in order to better understand the exhaust gas emission situation of the target farm, a multi-source heterogeneous sensing module can be created in the exhaust gas purification system of the target farm, so as to integrate various types of sensors in the target farm, such as ammonia sensors, hydrogen sulfide sensors, volatile organic compound (VOCs) sensors, etc., which can monitor different types of exhaust gas components in real time and accurately, obtain comprehensive exhaust gas parameter information and the environmental information of the target farm, and thus more precisely understand the pollution status of the exhaust gas discharged from the target farm.

[0030] Furthermore, the environment of a farm is generally relatively complex, with characteristics such as high humidity, a wide temperature range, and a large amount of dust. A single type of sensor may not be able to work stably or measure accurately in such an environment. Deploying a multi-source heterogeneous sensing module can use various sensors with different principles and characteristics, which can give full play to the advantages of various sensors, complement and verify each other, and improve the reliability and stability of monitoring data in a complex environment. For example, in a high-humidity environment, some optical sensors may be greatly affected by water vapor, while electrochemical sensors are relatively stable. By using them in combination, it can ensure accurate detection of exhaust gas components under various humidity conditions.

[0031] Furthermore, for farms in different regions, such as the breeding area, manure treatment area, feed storage area, etc., there are differences in the generation and emission of exhaust gas. Deploying a multi-source heterogeneous sensing module can flexibly deploy sensors according to the characteristics and needs of different regions to achieve refined monitoring of each region. By setting targeted sensors at different positions, it is possible to accurately grasp the exhaust gas pollution degree and change rules of different regions, provide a basis for the precise regulation and optimized operation of the exhaust gas purification system, help improve the exhaust gas purification efficiency, and reduce the treatment cost.

[0032] For example, in the actual application process, large-scale farms have a large number of live pigs in stock, large and numerous pig houses, and generate a large amount of exhaust gas with complex components. A large number of sensors need to be arranged at multiple key positions to comprehensively sense information such as the exhaust gas concentration, temperature, and humidity discharged from the farm, so as to achieve precise monitoring and control of the exhaust gas situation in the entire breeding area. For small farms, due to their relatively small scale and relatively small exhaust gas generation volume, the layout of the sensing network can be relatively simplified. Only by setting sensors at key parts can it meet the basic monitoring requirements for the exhaust gas purification system of the farm.

[0033] Furthermore, in the intensive farming mode, the density of livestock and poultry in the farm is high, and more exhaust gas is generated per unit area, and the environmental control requirements will also become higher. In this case, sensors need to be densely arranged to monitor the environmental parameters in the farm in real time, so as to adjust the operating parameters of the exhaust gas purification equipment in a timely manner. In the ecological farming mode, the livestock and poultry in the farm have a large activity space, and the exhaust gas emissions are relatively dispersed. The layout of the sensing network should consider factors such as the terrain and vegetation distribution of the farm, and focus on monitoring the surrounding areas of the farm and the exhaust gas emission outlets to ensure that the exhaust gas emissions meet the environmental protection requirements and at the same time ensure that the ecological environment is not polluted. For example, there are differences in the physiological characteristics, growth rates, and feed conversion rates of different livestock and poultry breeds, and their adaptability to the environment and exhaust gas generation amounts are also different. For example, in a pig farm, some lean-type pigs grow fast, have strong metabolism, and the content of harmful gases such as ammonia and hydrogen sulfide in the exhaust gas they produce may be relatively high, and more accurate environmental information sensing is required to optimize the exhaust gas purification system. Local breed pigs may have strong adaptability to the local environment, and their exhaust gas generation characteristics are different. The setting of the environmental information sensing network should be adjusted according to their specific conditions to achieve efficient exhaust gas treatment.

[0034] For another example, the requirements for the environment in a breeding pig farm are more stringent. In order to ensure the health and reproductive performance of breeding pigs, it is necessary to accurately control environmental parameters such as the temperature, humidity, and air quality in the pig house. Therefore, the distributed environmental information sensing network should be more dense and accurate. It should not only monitor the exhaust gas indicators, but also pay attention to other environmental factors related to the reproduction of breeding pigs. In contrast, commercial pig farms pay more attention to growth rate and breeding efficiency. The focus of environmental information sensing is to meet the basic needs of pig growth and comply with environmental protection emission standards, and the setting of the sensing network will be different.

[0035] For example, in the actual application process, after determining the distributed environmental information sensing network of the target farm, different types of sensors can be deployed at each node according to the distributed environmental information sensing network of the target farm, so as to collect different environmental information of the target farm. For example, the following types of sensors can be deployed in the target farm: Temperature and humidity sensors can be deployed to monitor the temperature and humidity in the target farm. In the actual application process, too high or too low temperature will affect the growth and development, feed conversion rate, and immunity of the breeding objects, and inappropriate humidity may cause the breeding objects to be infected with diseases and have stress reactions. For example, DHT11 digital temperature and humidity sensors can be deployed, which can convert the detected temperature and humidity data into digital signals, facilitating the microcontroller to read and process.

[0036] Air quality sensors can be deployed to detect the concentrations of harmful gases such as ammonia, hydrogen sulfide, and carbon dioxide in the target farm. Excessive concentrations of these gases can irritate the respiratory tracts of the farmed animals, reduce their resistance, cause respiratory diseases, and also affect the working environment and health of the breeding personnel. For example, MQ-135 gas sensors can be deployed, which have high sensitivity to various harmful gases such as ammonia and hydrogen sulfide and can quickly and accurately detect changes in gas concentrations.

[0037] Light sensors can be deployed to monitor the light intensity and light duration in the target farm. Appropriate lighting has an important impact on the growth, reproduction, and behavior of the farmed animals. For example, suitable lighting can promote the estrus of sows and improve the immunity and growth rate of piglets. For example, BH1750FVI digital light sensors can be deployed, which have the characteristics of high precision and low power consumption, can accurately measure the ambient light intensity, and transmit the data to the control system.

[0038] Liquid level sensors can be deployed to understand the drinking water situation of the farmed animals and to monitor the water level of the drinking water of the farmed animals to ensure that the farmed animals always have sufficient clean drinking water. Lack of water can affect the feeding, digestion, and growth of the farmed animals and can endanger their lives in severe cases. For example, hydrostatic pressure level sensors can be deployed, which are a commonly used type of level sensor that calculates the water level height by measuring the water pressure and has the advantages of high measurement accuracy and good stability.

[0039] Feed weight sensors can be deployed to monitor the remaining amount of feed in real time, so as to replenish the feed in time, ensure the feed supply of the farmed animals, and avoid affecting the growth and development of the farmed animals due to insufficient feed. At the same time, the excretion situation of the farmed animals can be evaluated by assessing their feeding situation. For example, strain gauge load cells can be deployed, which are a common type of feed weight sensor that measures weight based on the principle that the resistance strain gauge deforms under the action of force, resulting in a change in resistance, and has the characteristics of high precision and strong reliability.

[0040] Video monitoring sensors can be deployed to monitor the behavior, health status of the farmed animals, and the overall situation of the target farm in real time. Abnormal behaviors of the farmed animals, such as illness and fighting, can be detected in a timely manner, and it is also convenient for the management personnel to understand the working situation of the target farm. For example, network high-definition cameras can be deployed, which are commonly used video monitoring devices in farms. They can achieve remote real-time monitoring, have night vision functions and motion detection functions, and can transmit the monitoring images to terminal devices such as mobile phones or computers.

[0041] It is also possible to deploy a pH sensor to measure the acidity and alkalinity of various liquids in the target farm. Based on the Nernst equation, the pH sensor usually consists of a sensitive membrane that selectively responds to hydrogen ions and a reference electrode. When the sensitive membrane comes into contact with the solution to be measured, hydrogen ions in the solution will conduct ion exchange with the hydration layer on the surface of the sensitive membrane, forming a potential difference on both sides of the sensitive membrane. This potential difference is related to the activity of hydrogen ions in the solution, and the potential difference is converted into the corresponding pH value through the Nernst equation, thereby realizing the measurement of the pH value of the solution. For example, the pH values of drinking water, sewage, and pig urine can be monitored. For instance, in pig farming production, monitoring the pH value of drinking water is crucial because the appropriate pH value range (usually 6.5 - 8.5) helps ensure the quality of water and the health of pigs. If the water is too acidic or too alkaline, it may affect the digestive system function of pigs, leading to a decline in the immunity of pigs and making them prone to diseases. In addition, by monitoring the pH value of pig urine, the health status of pigs can also be reflected to a certain extent. For example, certain diseases may cause abnormal urine pH values. Common glass electrode pH sensors have the advantages of high measurement accuracy and good stability, and are widely used in the measurement of the pH values of various liquids. There are also antimony electrode pH sensors that can be applied to some special environments, such as the measurement of pH values under conditions of high temperature and high salinity.

[0042] EC sensors can also be deployed. EC is the abbreviation of Electrical Conductivity. EC sensors are mainly used to measure the electrical conductivity of solutions, thereby reflecting the content of electrolytes in the solutions. EC sensors measure the current in the solution using electrodes. When an electric current passes through the solution, the ions in the solution carry charges and move, thus generating a conduction phenomenon. EC sensors measure the resistance between two electrodes and convert the resistance value into an electrical conductivity value based on factors such as the temperature of the solution and the electrode constant. To improve the measurement accuracy, some EC sensors also adopt a four-electrode structure to eliminate the influence of electrode polarization and solution resistance. For example, in the pig farm environment, it can be used to monitor the electrical conductivity of drinking water, feed solutions, and sewage, etc. By monitoring the electrical conductivity of drinking water, the content of electrolytes such as dissolved minerals and salts in the water can be understood, and the purity and quality of the water can be judged. If the electrical conductivity is too high, it may mean that the water contains too many impurities or salts and is not suitable for pigs to drink; while if the electrical conductivity is too low, it may indicate a lack of some necessary minerals in the water. For feed solutions, monitoring the electrical conductivity can help judge the dissolution situation of the feed and the content of nutritional components. In terms of sewage treatment, the electrical conductivity can be an important indicator to reflect the content of pollutants in the sewage and the treatment effect. Commonly, there is an inductive EC sensor, which adopts a non-contact measurement method. It generates an alternating magnetic field through an inductive coil, generates an induced current in the solution, and thus measures the electrical conductivity of the solution. This type of sensor has advantages such as anti-pollution and corrosion resistance, and is suitable for the measurement of electrical conductivity in various complex environments. There is also an electrode type EC sensor, which directly inserts the electrodes into the solution for measurement. It has characteristics such as high measurement accuracy and fast response speed, and is widely used in the measurement of electrical conductivity in laboratories and industrial production.

[0043] Furthermore, the multiple sensors deployed in the multi-source heterogeneous perception module can also form a redundant system. When a certain type of sensor fails or malfunctions, other types of sensors can still continue to work, providing relevant data of the target farm and avoiding the interruption or loss of monitoring data. At the same time, by comparing and analyzing the data of multiple sensors, the malfunction situation of the sensors can be detected in a timely manner, facilitating timely maintenance or replacement to ensure the continuity and reliability of the exhaust gas monitoring work.

[0044] To better collect various types of status data of the target farm and better utilize the functions of the multi-source heterogeneous perception module, a distributed environmental information perception network can be deployed in the target farm according to the specific functions of the multi-source heterogeneous perception module, and data of the target farm can be collected through various sensors of the distributed environmental information perception network. Through various sensors in the distributed environmental information perception network, the concentration and composition of exhaust gas at positions such as inside the target farm and the exhaust gas emission outlet can be monitored in real time, such as ammonia, hydrogen sulfide, carbon dioxide, volatile organic compounds, etc. The concentration and composition of exhaust gas will vary under different breeding stages, seasons, and feeding management methods. For example, in a pig farm, when the ventilation in the pig house is poor in winter, the ammonia concentration may increase significantly. Accurately grasping this data helps determine the treatment capacity of the exhaust gas purification equipment and the targeted purification process.

[0045] Among them, the process by which the multi-source heterogeneous perception module perceives various status parameters of the target farm and transmits them to the data processing module may include the following: The multi-source heterogeneous perception module receives the status data collected by various types of sensors deployed in the target farm, analyzes the status data collected by each sensor to determine various status parameters of the target farm; and finally classifies the determined various status parameters of the target farm and then transmits them to the data processing module.

[0046] Since the multi-source heterogeneous perception module collects different types of data related to the target farm. And different types of data feedback different information, and there may be some missing data or duplicate and incorrect data. To better analyze various types of data to understand the environment of the target farm and the specific situation of the exhaust gas discharged, the multi-source heterogeneous perception module of this application can be responsible for perceiving various status parameters of the target farm and transmitting them to the data processing module; the data processing module is responsible for preprocessing the various status parameters of the target farm transmitted by the multi-source heterogeneous perception module to remove duplicate, incorrect, or missing data, so as to improve the analysis efficiency of the status parameters of the target farm, and thus obtain the target multi-source data of the target farm.

[0047] Among them, the target multi-source data can reflect the exhaust gas components and environmental information of the target farm. The status parameters of the farm are important indicators reflecting the operation status of the farm and the growth environment of animals, mainly including the following types of parameters: 1. Environmental parameters: temperature, humidity, light, air quality parameters, ventilation volume. Among them, the air quality parameters mainly involve the concentration of harmful gases such as ammonia, hydrogen sulfide, and carbon dioxide. For example, the environmental parameters of the target farm can include temperature, relative humidity, ammonia concentration, carbon dioxide concentration, hydrogen sulfide concentration, formaldehyde concentration, inhalable particulate matter (PM2.5 / PM10).

[0048] 2. Animal health parameters: the body temperature, heart rate, feed intake and water intake, and the states of feces and urine of the farming objects.

[0049] 3. Operating parameters of farming facilities: equipment temperature, equipment operating time, equipment fault alarm, energy consumption data, where the energy consumption data includes the consumption data of energy such as electricity, gas, and fuel.

[0050] 4. Farming production parameters: inventory, reproductive performance, growth performance, product quality parameters.

[0051] All of the above state parameters may affect the exhaust gas discharged from the target farm. Therefore, collecting and processing these data can better treat the exhaust gas discharged from the target farm.

[0052] Among them, the process in which the data processing module receives various state parameters of the target farm transmitted by the multi-source heterogeneous perception module and preprocesses them to obtain the target multi-source data may include the following: Receiving various state parameters of the target farm transmitted by the multi-source heterogeneous perception module; performing data cleaning on the received various state parameters to eliminate incorrect and duplicate data to obtain the first data; then performing data conversion on the first data to obtain the second data; and then performing classification processing, data integration processing, and feature extraction processing on the second data, then the target multi-source data can be obtained.

[0053] Specifically, in the waste gas purification system of the farm, various sensors in the multi-source heterogeneous perception module collect real-time status information such as environmental parameters and animal health parameters of the farm. These sensors include, but are not limited to, temperature sensors, humidity sensors, ammonia sensors, hydrogen sulfide sensors, etc. During the data collection process, it is necessary to ensure that the collection frequency meets the system requirements to obtain sufficient detailed information, and at the same time, ensure the accuracy and integrity of the data. However, the collected data may have problems such as noise, missing values, and outliers. Data cleaning is to remove these noises and outliers and handle the missing values. For noise data, filtering algorithms can be used for smoothing; for missing values, methods such as mean filling, median filling, and filling based on similar samples can be selected according to specific situations. For example, if there are individual values in the temperature data that deviate significantly from the normal range, they can be judged as outliers and excluded, and then filled with the mean of adjacent time points. On the other hand, the data collected by different sensors have different formats, units, and dimensions. Data conversion is to uniformly convert these data into standard formats, units, and dimensions that the system can recognize and process. For example, the temperature data collected by temperature sensors from different manufacturers is uniformly converted to degrees Celsius, and the gas concentration data is converted from different ppm units to a unified standard unit. In addition, for the convenience of subsequent analysis and processing, the data may also be normalized or standardized, mapping the data to a specific interval or making the data have zero mean and unit variance.

[0054] Furthermore, the data collected by the multi-source heterogeneous perception module are from different sensors, different locations, different times, and different categories. After cleaning these data, they can be further classified and integrated to integrate these scattered data together to form a complete data set. During the integration process, it is necessary to establish the association relationships between the data. For example, the data collected by different sensors at the same moment can be associated according to the time stamp, or the sensor data in different regions can be integrated according to the spatial location. This can ensure that subsequent analysis can comprehensively consider information from multiple dimensions.

[0055] After cleaning, converting, and integrating the data, representative features are extracted from the cleaned, converted, and integrated data. These features can better reflect the status and laws related to the waste gas of the farm. For example, features such as the average ammonia concentration, concentration change rate, and peak value within a certain period can be calculated; for temperature data, features such as the daily average temperature and day-night temperature difference can be extracted. Through feature extraction, the data dimension can be reduced, the data processing volume can be decreased, and at the same time, the key information can be highlighted, providing more effective input for subsequent data analysis and model establishment.

[0056] Furthermore, the obtained target multivariate data after preprocessing needs to be stored for subsequent querying, analysis, and visualization. Usually, the data is stored in a database or a data warehouse, and a suitable data storage structure and format are selected to improve the data storage efficiency and access speed. For example, for the current state data with high real-time requirements, a relational database can be used for storage; for the long-term storage and analysis of historical data, a data warehouse or a distributed file system (such as HDFS) can be used.

[0057] After the above preprocessing process, the multi-source heterogeneous raw data is converted into target multivariate data with consistency, accuracy, and availability, providing a solid data foundation for subsequent data analysis, model prediction, decision support, and other functions of the farm waste gas purification system.

[0058] As can be seen from the above introduction, different types and formats of data can be collected through the multi-source heterogeneous sensing module. To better analyze the different types of data collected by the multi-source heterogeneous sensing module, the data collected by the multi-source heterogeneous sensing module can be fused. Through data fusion technology, these multi-source data can be integrated and analyzed to extract more valuable information. For example, by combining meteorological data (such as wind speed, wind direction, temperature, humidity, etc.) with waste gas composition data, the influence law of meteorological conditions on waste gas diffusion and emission can be analyzed, providing a scientific basis for optimizing the layout of the farm and waste gas emission management. In addition, data fusion can also improve the accuracy and credibility of the data, providing more powerful data support for subsequent decision-making and environmental assessment.

[0059] Therefore, after the data processing module preprocesses the different types of data collected by the multi-source heterogeneous sensing module to obtain the target multivariate data, the obtained target multivariate data can be transmitted to the main control module for analysis and processing, so that the main control module can fuse the obtained target multivariate data and generate control decisions for the chemical decomposition system, biological filtration system, and waste liquid treatment system.

[0060] Specifically, the waste gas situation of the farm is affected by various factors, such as breeding density, ventilation conditions, waste treatment methods, etc. To comprehensively understand the situation of the target farm and better handle the waste gas discharged from the target farm, the main control module can fuse the obtained target multivariate data. By fusing different types of multivariate data, including environmental parameters (temperature, humidity, gas concentration, etc.), equipment operation parameters (fan speed, purification equipment working status, etc.), and breeding activity data (breeding quantity, feeding amount, etc.), the main control module can comprehensively grasp the overall situation of the farm, accurately judge the law of waste gas generation and emission, and provide a basis for accurately controlling the waste gas purification process.

[0061] Furthermore, although the state parameters of the target farm have been preprocessed, the data from a single sensor or data source may still have errors, noise, or incompleteness. By fusing the information from multiple sensors and data sources, the complementarity and redundancy between the data can be utilized to verify and supplement each other, thereby improving the accuracy and reliability of the data. For example, the data fusion of multiple ammonia sensors can reduce the impact caused by single sensor failures or measurement deviations and more accurately reflect the true concentration of ammonia in the farm.

[0062] The fused multi-source data can more clearly present the complex relationships and interactions in the waste gas purification process. Based on this comprehensive information, the main control module can deeply analyze the dynamic changes in waste gas generation, propagation, and purification, determine and optimize control strategies, such as adjusting the operating parameters of the purification equipment in real time according to different farming activities and environmental conditions, so as to achieve a more efficient and energy-saving waste gas purification effect.

[0063] Multi-source data fusion helps to build a more comprehensive and accurate waste gas model for the farm. The main control module can use these models for intelligent decision-making, such as predicting the waste gas emission trend and taking measures in advance to deal with possible over-standard emissions. At the same time, it also provides data support for the long-term planning and management of the farm, such as reasonably adjusting the farming scale and optimizing the farming layout.

[0064] Therefore, the main control module can perform fusion processing on the obtained target multi-source data, and by analyzing the target multi-source data, control decisions for the chemical decomposition system, biological filtration system, and waste liquid treatment system can be generated, and the control decisions for the chemical decomposition system, biological filtration system, and waste liquid treatment system are respectively transmitted to the corresponding chemical decomposition system, biological filtration system, and waste liquid treatment system to control the chemical decomposition system, biological filtration system, and waste liquid treatment system to purify the waste gas discharged from the target farm.

[0065] Among them, the process of the main control module performing fusion processing on the target multi-source data and generating control decisions for the chemical decomposition system, biological filtration system, and waste liquid treatment system may include the following: Receiving the target multi-source data; analyzing the target multi-source data, and determining the weight coefficients of each state parameter of the target farm based on the influencing factors of each state data in the target multi-source data on the waste gas purification work of the target farm; determining the relative weights of each state parameter on the chemical decomposition system, biological filtration system, and waste liquid treatment system based on the weight coefficients of each state parameter of the target farm; and determining the control decisions for the chemical decomposition system, biological filtration system, and waste liquid treatment system according to the relative weights of the chemical decomposition system, biological filtration system, and waste liquid treatment system and each state parameter.

[0066] The target farm can include an exhaust gas purification platform, which can include several water spray valves, pH sensors, water pumps, acid solution tanks, and packing structures; Based on this, the chemical decomposition system can be responsible for controlling the water spray valve corresponding to the acid solution tank of the exhaust gas purification platform, spraying the acid solution in the acid solution tank into the packing structure of the exhaust gas purification platform, so that the packing structure of the exhaust gas purification platform removes ammonia in the exhaust gas discharged from the target farm through a chemical reaction; When the pH sensor detects that the pH value of the acid solution in the acid solution tank is higher than the preset first threshold, the water pump corresponding to the acid solution tank can be started to add concentrated acid with a preset first concentration into the acid solution tank to reduce the pH value of the acid solution in the acid solution tank, so as to maintain the ability of the acid solution in the acid solution tank to neutralize ammonia.

[0067] Among them, the preset first threshold can be set to 4.5. The preset first concentration can be set to [30%, 80%].

[0068] For example, when the pH sensor detects that the pH value of the acid solution in the acid solution tank is higher than 4.5, the acid addition pump can be started to add [30%, 80%] concentrated acid solution into the acid solution tank to reduce the pH value of the acid solution in the acid solution tank, so as to ensure that the acid solution has the ability to neutralize ammonia. The exhaust gas purification platform can also include a biological solution tank, and the biological filtration system can be responsible for controlling the water spray valve corresponding to the biological solution tank, spraying the biological solution in the biological solution tank into the corresponding packing structure of the exhaust gas purification platform, so as to decompose and remove organic pollutants in the exhaust gas discharged from the target farm by the metabolic action of microorganisms in the biological solution.

[0069] The waste liquid treatment system can be responsible for removing pollutants in the waste water generated during the process of the exhaust gas purification platform of the target farm treating the exhaust gas discharged from the target farm, so as to ensure that it meets the discharge standards.

[0070] In the actual application process, the farm exhaust gas purification system consists of multiple components and devices, such as fans, purifiers, sensors, etc. A failure of any component may affect the normal operation of the entire system. In order to be able to monitor the operating status of each device in real time, discover potential failures in time, avoid sudden system shutdown or decline in purification effect, ensure the continuous and stable progress of the exhaust gas purification work, and reduce the impact on the farm environment and production. The farm exhaust gas purification system also includes a fault diagnosis system; when the farm exhaust gas purification system fails, the fault diagnosis system can be used to receive and process the fault information fed back by the main control module, and give the fault information and fault solution of the farm exhaust gas purification system.

[0071] Quick and accurate fault diagnosis helps maintenance personnel quickly locate the fault point and reduce the fault troubleshooting time. The fault diagnosis system can analyze sensor data and equipment operation parameters to provide detailed fault information, such as fault type, location, etc., enabling maintenance personnel to prepare the required tools and spare parts in advance, quickly carry out repairs, shorten the system downtime, and reduce the maintenance cost.

[0072] Some equipment in the waste gas purification system involves the operation of electricity, machinery, etc. If a fault occurs and is not discovered and processed in time, it may cause safety accidents, such as a fire caused by a motor short circuit, waste gas leakage caused by equipment failure, etc. The fault diagnosis system can timely warn of potential safety hazards and take corresponding measures, such as automatically cutting off the power supply, starting emergency ventilation, etc., to ensure the safety of the personnel and equipment in the farm.

[0073] By analyzing the system operation data, the fault diagnosis system can find the reasons for the decline in system performance, such as the reduction of purification efficiency caused by the blockage of the purifier, the insufficient air volume caused by the aging of the fan, etc. According to the diagnosis results, the system can be optimized and adjusted specifically, such as regularly replacing the filter screen, repairing or replacing aging equipment, to maintain the best performance of the system, improve the waste gas purification effect, and reduce pollutant emissions.

[0074] For example, according to the above-described solution, the present application can construct a waste gas purification platform for a target farm, which may include: a pressure chamber, a chemical decomposition chamber, a first biological filtration chamber, and a second biological filtration chamber; wherein, the pressure chamber is connected to the waste gas outlet of the target farm and the chemical decomposition chamber, and is responsible for uniformly mixing the waste gas pollutants of the target farm and reducing the wind speed of the waste gas discharged from the target farm to fully mix the waste gas discharged from the target farm and then discharge it to the chemical decomposition chamber.

[0075] The chemical decomposition chamber is responsible for performing pickling spray treatment on the waste gas sent by the pressure chamber, and after absorbing the alkaline pollutants in the waste gas discharged from the target farm, discharging the waste gas that has undergone the first purification treatment to the first biological filtration chamber again; wherein, the process of the chemical decomposition chamber performing pickling spray treatment on the waste gas sent by the pressure chamber may include the following: when the pressure chamber discharges the waste gas to be treated to the chemical decomposition chamber, start the water spray valve, spray the acid solution in the acid solution pool onto the filler of the waste gas purification platform of the target farm to remove ammonia in the waste gas discharged from the target farm; during the process of removing ammonia in the waste gas discharged from the target farm, real-time monitor the pH value of the acid solution in the acid solution pool, and when the pH value of the acid solution in the acid solution pool is higher than the preset first threshold, start the water pump and add concentrated acid with a preset concentration to the acid solution pool to neutralize the acid solution in the acid solution pool, so that the acid solution in the acid solution pool continuously maintains the ability to remove ammonia in the waste gas discharged from the target farm.

[0076] In the chemical decomposition chamber, ammonia gas is absorbed through a chemical reaction in a dilute acidic solution and converted into ammonium ions in a reduced form. The reaction equations involved are as follows: (1) (2) Equation (1) represents the equilibrium reaction of the solubility of ammonia gas in an acidic solution. This equation describes the solubility of ammonia gas in water, where H is the Henry's law constant, which is at 298.15 K (25 °C), and this solubility is relatively high compared to other gases. The H values for carbon dioxide, methane, and hydrogen sulfide are , and respectively. The equilibrium constant of Equation (2) is equal to the ratio of the rate constant of the forward and the backward reactions.

[0077] (3) Equation (3) better describes the relationship between the reaction rate and the concentrations of , and . The equilibrium constant can be derived as the reciprocal of the acid dissociation constant of , and its value at 298.15 K (25 °C) is 1.78×109, which is conducive to the progress of the backward reaction.

[0078] Among them, the concentration of the concentrated acid solution in the acid solution pool in the chemical decomposition chamber is mainly in the range of [30%, 80%]. The preset first threshold can be set to 4.5. For example, when the pH value sensor detects that the pH value of the acid solution in the acid solution pool is higher than 4.5, the acid addition pump can be started to add the concentrated acid solution with a concentration of [30%, 80%] to the acid solution pool to lower the pH value of the acid solution in the acid solution pool to ensure that the acid solution has the ability to neutralize ammonia gas.

[0079] The first biological filtration chamber is connected to the chemical decomposition chamber and the second biological filtration chamber; among them, both the first biological filtration chamber and the second biological filtration chamber include biological solutions; the first biological filtration chamber is responsible for secondary purification of the waste gas discharged from the chemical decomposition chamber, and uses the microorganisms in the biological solution to decompose the organic pollutants in the waste gas discharged from the chemical decomposition chamber for the first time and then discharges it to the second biological decomposition chamber; and then the second biological decomposition chamber decomposes the organic pollutants in the waste gas discharged from the first biological decomposition chamber again and discharges the obtained gas to the outside.

[0080] Washing is carried out using microbial degradation technology. A large number of known dominant strains can be utilized, such as photosynthetic bacteria. This strain has low requirements for the composition and content conditions of specific pollutants in wastewater, waste gas, and waste residue, etc. It has multiple genera of highly purifying microorganisms, which can effectively improve the biodegradability of pollutants, increase the removal rates of chemical oxygen demand (COD), ammonia nitrogen, total phosphorus, and toxic and harmful substances. At the same time, it has the advantages of less sludge, short startup time, high operation stability and shock resistance, being safe and harmless, and being convenient for use and maintenance.

[0081] (4) Equation (4) introduces the process of the cleavage of hydrogen sulfide and carbon dioxide through photosynthesis (hv) participated by photosynthetic sulfur bacteria. There are many other dominant strains similar to photosynthetic bacteria, including EM bacteria, nitrifying bacteria, etc. On the basis of controlling the basic conditions for the survival and reproduction of the strains, most of the waste gas components generated in the farm can be removed by biological water washing. The process of biological filtration is the process of microbial degradation of waste gas. The dominant strains can be attached to the wet curtain through slowly flowing water and degrade ammonia, hydrogen sulfide, and nitrous acid contained in the air at the end of livestock and poultry breeding.

[0082] Through experiments, taking the purification treatment of the waste gas in a pigsty as an example, this application introduces the process of building a waste gas purification treatment platform for a pigsty. The waste gas purification test platform for the pigsty is as Figure 2 shown. The key structural parameters of the waste gas purification system mainly include the air velocity through the curtain, the air flow structure, the fluid structure, and the packing material. Among them, the air flow structure can include the fan parameters and the air flow direction. It is necessary to comprehensively consider the purification efficiency and energy consumption to determine the position of the fan and the flow field distribution in the purification chamber. For the design of the fluid structure, it is mainly necessary to consider the uniform distribution of the washing liquid in the washing liquid flow rate configuration and the precise control of the droplet diameter and the spraying range. In the actual application process, mainly based on the porosity of the packing structure, comprehensively consider the relationship between the packing structure size, the air velocity inside the packing, the minimum effective mass transfer contact time, and the pressure drop to determine the material, structure, and size of the packing.

[0083] In this experiment, the packing size (length × width × height) of the waste gas purification test platform for the pigsty was set to 680mm * 680mm * 150mm, and the diameter of the hexagonal through-hole was 25mm. At this time, the gas velocity inside the packing was 1m / s, and the pressure drop before and after was about 10Pa.

[0084] For example, as Figure 2Taking the purification treatment of the waste gas from the pigsty shown as an example, the waste gas discharged from the pigsty enters the pressure chamber (area ②), and the waste gas is promoted to mix under the action of the fan, while the wind speed is reduced to facilitate entry into the subsequent purification link. Subsequently, the waste gas enters the chemical decomposition chamber (area ③), and the acid solution reacts with the ammonia in the waste gas. Most of the ammonia is reacted to become ammonium ions and solidified in the solution, and the solution is transported to the waste liquid recovery bottle. The waste gas treated by the chemical decomposition chamber enters the biological filtration chamber I (area ④) and the biological filtration chamber II (area ⑤), and specific microorganisms in the biological solution are used to decompose the organic pollutants in the waste gas. The generated waste liquid flows back to the biological solution pool to further reduce the concentration of harmful components in the gas, and finally the clean gas is discharged into the external environment.

[0085] In the actual application process, the spatio-temporal accumulation model of the pigsty waste gas components can be combined, and through theoretical analysis and experimental tests, the coupling correlation mechanism of factors such as the cross-curtain wind speed, air flow organization, packing structure, and spraying method of the waste gas purification unit on the waste gas purification efficiency and ventilation resistance can be studied, a mathematical model of the waste gas purification unit can be established, the key structural parameters of the pig farm waste gas purification unit can be determined, and while ensuring the ventilation requirements of the pigsty, the waste gas purification efficiency can be improved. Among them, the coupling correlation mechanism can be manifested as the mathematical model relationship of each parameter. Using the self-optimizing pigsty waste gas purification control model, the optimal solution can be calculated, that is, by adjusting the fan wind speed, packing size structure, and spraying rate parameters, while meeting the ventilation requirements of the pigsty, the maximization of the waste gas purification efficiency can be achieved.

[0086] For example, based on the above-described solution, the present application can construct a Figure 3 intelligent pigsty waste gas purification system as shown in Figure 3 The intelligent pigsty waste gas purification system shown includes two working modes: an energy-saving mode and a high-efficiency mode. This system can more efficiently and energy-savingly perform intelligent treatment on the waste gas discharged from the pigsty, and can also give early warnings about the failures occurring in each component.

[0087] Among them, the deodorant tank is used to store the deodorant required for treating waste gas, and the deodorant pump is responsible for pumping and transporting the deodorant to the reservoir. In the reservoir, after the clean water and waste water are mixed, the washing pump sends the deodorant mixture to the washing equipment to remove the harmful components in the waste gas. The treated waste water is guided to the sedimentation tank, where solid impurities precipitate, and the clean water is sent back to the system for reuse through the circulation pump, forming a closed loop. The reservoir is not only used to add clean water but also to store the treated waste water. The waste liquid tank is used to collect the waste liquid generated during the treatment process, and the waste liquid is transported to the reservoir through the waste discharge pump. The sewage pump is responsible for transporting the sewage in the sedimentation tank to the sewage discharge tank, which collects the sewage that still needs to be discharged after treatment and awaits subsequent treatment. During the operation of the system, the stop spray valve is used to control the spraying of the deodorant to ensure effective treatment at the appropriate time and conditions. The entire system operates in an efficient mode, ensuring the best treatment effect through real-time monitoring and automatic adjustment. In the energy-saving mode, the system uses pressure sensors, pH sensors, and conductivity sensors to monitor the status of waste gas and waste water in real time, automatically adjusting the supply amount of the deodorant and the working frequency of the pumps, thereby reducing energy consumption and avoiding full operation when the load in the pigsty is low.

[0088] In the actual application process, after determining the type of pigs, the number of pigs, the installation conditions of the purification platform in the pig farm, and the fan parameters, the overall size of the purification space, the specifications of the control room, the deployment of the air inlet, the deployment of the exhaust port, the size of the pressure chamber, the size of each stage of the filter, the clearance size, the size of the reservoir, the air diversion equipment, the nozzle selection, the nozzle layout, and the pump selection can be calculated through the solution of the present application; the annual power consumption, annual water consumption, annual acid consumption, and waste gas purification efficiency of the purification treatment of the pig farm can also be analyzed.

[0089] Based on the technical solution introduced above, the following combines Figure 4 , and introduces an implementation process of the waste gas purification solution for the breeding farm given in the embodiments of the present application. As Figure 4 shown, this process may include the following steps: Step S101, determine the distributed environmental information perception network of the target breeding farm according to the type of the target breeding farm.

[0090] Step S102, collect the environmental parameters of the target breeding farm according to the distributed environmental information perception network of the target breeding farm.

[0091] Step S103, establish and start the waste gas purification platform of the target breeding farm based on the environmental parameters of the target breeding farm and the sewage discharge requirements of the target breeding farm.

[0092] Specifically, based on the environmental parameters of the target farm, the exhaust gas emission pattern of the target farm can be determined. For example, by analyzing the environmental parameters of the target farm, the components of the exhaust gas emitted by the target farm, the concentration parameters of pollutants, the temperature change of the target farm, and the air velocity through the curtain of the target farm can be determined. Then, based on the components of the exhaust gas emitted by the target farm, the concentration parameters of pollutants, the temperature change of the target farm, and the air velocity through the curtain of the target farm, a dynamic accumulation model of the target farm is established. Among them, the dynamic accumulation model of the target farm can be trained with the exhaust gas components and pollutant concentration parameters of the training farm, the temperature change of the training farm, and the air velocity through the curtain of the training farm as training samples and the exhaust gas emission pattern of the training farm as sample labels.

[0093] In the actual application process, the ammonia concentration, ventilation air velocity, initial pH of the acid cleaning solution, nozzle pressure, nozzle rated aperture, and nozzle atomization angle in the farm can also be selected as input values, and the exhaust gas purification efficiency as the predicted output value. The system data is fused by a hybrid method of the adaptive weighted algorithm and the D-S (Dempster Shafer) evidence theory fusion algorithm. During the training process of the model, first, the collected data is divided into an 80% training set and a 20% test set. The training set is used to train the model. The adaptive weighted strategy is adopted to dynamically adjust the weights of the input features, and the D-S evidence theory fusion algorithm is applied to integrate multi-source data to improve the robustness of the model. After the training is completed, the model performance is evaluated on the test set, and the mean square error and mean absolute error indicators are used to ensure that the prediction ability meets the actual requirements. The model is tuned and optimized according to the evaluation results, and multiple rounds of iteration are performed to achieve the best effect.

[0094] The exhaust gas emission pattern of the target farm can be understood through the dynamic accumulation model. Therefore, after determining the dynamic accumulation model of the target farm, the environmental parameters of the target farm can be analyzed through the dynamic accumulation model of the target farm, and the spatio-temporal characteristic information of the exhaust gas emission of the target farm can be extracted. Finally, based on the spatio-temporal characteristic information of the exhaust gas emission of the target farm, the exhaust gas emission pattern of the target farm can be determined.

[0095] For example, as can be seen from the above introduction, the various environmental parameter data of the target farm can include, but are not limited to, the exhaust gas components, pollutant concentrations, temperature, cross-curtain air velocity, etc. at different time points. If these data can be input into the dynamic accumulation model of the target farm for analysis, the dynamic accumulation model of the target farm will simulate the processes of exhaust gas generation, diffusion, accumulation, and emission to the external environment in the farm according to the set algorithms and parameter relationships. During the simulation process, considering the changes in time factors, the dynamic accumulation model of the target farm will dynamically calculate the exhaust gas-related parameters at various positions in the farm at different times, so as to obtain the variation law of exhaust gas emissions over time.

[0096] Combined with the structural parameters and geographical information of the farm, the dynamic accumulation model of the target farm can analyze the distribution of exhaust gas in different areas of the farm. For example, by simulating the exhaust gas concentration distribution at different positions, the high-concentration areas and low-concentration areas of exhaust gas emissions in the farm, as well as the main paths and directions of exhaust gas diffusion, can be determined. This helps to understand the spatial propagation characteristics of exhaust gas and provides a basis for reasonably setting the positions of exhaust gas collection and treatment equipment.

[0097] After determining the exhaust gas emission law of the target farm based on the environmental parameters of the target farm, the exhaust gas purification platform model of the target farm can then be determined based on the exhaust gas emission law of the target farm, the sewage discharge requirements of the target farm, and the structural parameters of the target farm.

[0098] For example, based on the sewage discharge requirements of the target farm, the exhaust gas emission law of the target farm and the structural parameters of the target farm can be analyzed to determine the treatment strategy for purifying the exhaust gas of the target farm; then, based on the environmental parameters of the target farm, the structural parameters of the target farm, and the exhaust gas treatment strategy of the target farm, the air flow structure parameters, fluid structure parameters, and packing structure parameters of the exhaust gas purification platform model of the target farm can be determined; finally, based on the air flow structure parameters, fluid structure parameters, and packing structure parameters of the exhaust gas purification platform model of the target farm, the exhaust gas purification platform model of the target farm can be determined.

[0099] In the actual application process, the waste gas purification platform model provides comprehensive guidance and basis for the construction and operation of the actual platform. The waste gas purification platform model of the target farm is constructed based on in-depth research on the waste gas emission law of the target farm, which clarifies the key design parameters such as the required treatment capacity and treatment efficiency of the waste gas purification platform of the target farm. For example, the waste gas purification platform model of the target farm will determine the scale and treatment process of the waste gas purification equipment of the target farm according to the types, concentrations and emission flows of pollutants in the waste gas of the target farm, such as selecting a suitable activated carbon adsorption device or biological filter, etc., to ensure that the waste gas purification platform of the target farm can effectively treat the waste gas generated by the target farm. The waste gas purification platform model of the target farm can also determine the design requirements of the waste gas collection system of the target farm, including the shape, size and position of the air collection hood, as well as the layout and pipe diameter of the ventilation duct, etc., to ensure that the waste gas can be efficiently collected from the breeding area to the waste gas purification platform of the target farm for treatment. According to the waste gas purification platform model of the target farm, purification equipment and supporting facilities suitable for the target farm can be accurately selected.

[0100] In the actual application process, different treatment processes and equipment are applicable to different waste gas characteristics. The waste gas purification platform model of the target farm can help determine which equipment can best meet the specific needs of the target farm. For example, if the waste gas purification platform model of the target farm shows that the waste gas contains a large amount of volatile organic compounds, catalytic combustion equipment may be selected for treatment. At the same time, the waste gas purification platform model of the target farm will also guide the reasonable layout of the waste gas purification equipment in the target farm. Considering factors such as the spatial structure, air flow direction and operation and maintenance convenience of the target farm, the waste gas purification platform model of the target farm will plan the best installation positions of each equipment, making the entire waste gas purification system of the target farm compact, efficient and not affecting the normal production activities of the target farm.

[0101] The waste gas purification platform model of the target farm can simulate the operation of the waste gas purification platform under different working conditions, so as to formulate corresponding operation and control strategies. For example, according to the periodic or seasonal changes in the waste gas emissions of the target farm, the waste gas purification platform model of the target farm can give the operation parameter adjustment plan of the equipment in different time periods, such as increasing the operation power of the treatment equipment during the peak period of waste gas emissions and appropriately reducing the energy consumption during the low period, so as to achieve energy-saving operation.

[0102] The waste gas purification platform model of the target farm can also provide a basis for the design of the automated control system, realizing real-time monitoring and automatic control of the waste gas purification platform of the target farm. By using sensors to monitor the emission parameters of the waste gas and the operating status of the purification equipment in real time, according to the control logic preset in the waste gas purification platform model of the target farm, the operating parameters of the equipment are automatically adjusted to ensure that the waste gas purification platform of the target farm is always in the best operating state, guaranteeing the stability and reliability of the waste gas treatment effect of the target farm.

[0103] Before establishing and starting the waste gas purification platform of the target farm, the waste gas purification platform model of the target farm can be used to evaluate and optimize the performance of the waste gas purification platform of the target farm. By simulating different operating conditions and parameter settings, predicting the waste gas treatment effect, energy consumption, equipment service life and other indicators of the waste gas purification platform of the target farm, potential problems can be discovered in advance, and the waste gas purification platform model of the target farm can be optimized and adjusted.

[0104] For example, if the waste gas purification platform model of the target farm predicts that the waste gas treatment effect may not meet the standards in some cases, the treatment process or equipment parameters can be adjusted in a timely manner; if it is found that the energy consumption is too high, the energy consumption can be reduced by optimizing the operation strategy or equipment selection. In this way, the waste gas purification platform of the target farm can be continuously improved before actual construction and operation, improving its performance and economy.

[0105] Therefore, after determining the waste gas purification platform model of the target farm based on the waste gas emission law, sewage discharge demand and structural parameters of the target farm, further establish and start the waste gas purification platform of the target farm based on the waste gas purification platform model of the target farm to purify the waste gas discharged from the target farm.

[0106] For example, in actual experiments, taking the breeding and gestation house of a certain scale pig farm tested in actuality as an example, it is found that there is obvious environmental temperature accumulation during the process of fresh air entering the pig house breeding environment and becoming waste gas emissions after heat and mass transfer, as Figure 5 shown. Pollutants such as ammonia, hydrogen sulfide, and air particulate matter in the pig house also have certain accumulation laws. By establishing a spatio-temporal sequence accumulation model analysis of the waste gas components in the pig house, the accumulation and change laws between the waste gas components and the breeding environment can be revealed, providing a basis for the subsequent design of the waste gas purification unit, and at the same time providing a reference for the optimized design of the pig house ventilation structure to ensure the animal welfare environment.

[0107] Secondly, as Figure 5As shown in part c, how to design the exhaust gas purification unit, establish the mathematical model of the exhaust gas purification unit, and determine the key structural parameters to ensure the ventilation needs of the breeding environment in the house and efficiently purify the exhaust gas is a scientific problem that needs to be solved in the application of the pig house exhaust gas purification industry.

[0108] like Figure 5 In the exhaust gas purification system of the equipped shed shown in the figure, the exhaust gas purification system is dynamically adjusted through the feedback data of the internal and external detectors. The system is equipped with a variety of sensors, such as ammonia sensors, temperature and humidity sensors, and carbon dioxide sensors, which monitor the air quality of the shed in real time and transmit the data to the central control system through Zigbee wireless transmission technology. The system uses a built-in algorithm to analyze the current environmental status and compare it with the preset standard to automatically determine whether it is necessary to start or adjust the exhaust gas treatment process. When the exhaust gas concentration exceeds the set threshold, the system will increase the amount of deodorant sprayed, and reduce it accordingly when the concentration decreases, ensuring resource conservation. The operating frequency of the washing pump and the circulating water pump will also be adjusted according to the exhaust gas status, so as to dynamically adjust the working quantity and working mode of the deodorization equipment, optimize the processing efficiency, and save deodorant, water and electricity.

[0109] Therefore, after determining the waste gas purification platform model of the target farm based on the waste gas emission rules of the target farm, the pollution discharge needs of the target farm, and the structural parameters of the target farm, the waste gas purification platform of the target farm can be established and started based on the waste gas purification platform model of the target farm.

[0110] For example, after determining the exhaust gas purification platform of the target farm, the fan installation position of the target farm and the flow field distribution structure of the airflow in the exhaust gas purification room of the fan can be determined according to the airflow structure parameters of the exhaust gas purification platform model of the target farm and the structural parameters of the target farm; then, the detergent flow configuration strategy of the exhaust gas purification platform of the target farm can be determined according to the fluid structure parameters of the exhaust gas purification platform model of the target farm and the structural parameters of the target farm; and the materials for filling the exhaust gas purification platform of the target farm, as well as the structure and size of the exhaust gas purification platform of the target farm, can be determined according to the filler structure parameters of the exhaust gas purification platform model of the target farm and the structural parameters of the target farm; finally, the exhaust gas purification platform of the target farm can be established according to the materials for filling the exhaust gas purification platform of the target farm and the structure and size of the exhaust gas purification platform of the target farm.

[0111] Among them, the air flow structure parameters, such as wind speed, wind direction, air flow distribution, etc., determine the flow path and residence time of the waste gas in the purification platform. A reasonable air flow structure can evenly distribute the waste gas in the purification platform, avoid air flow short - circuit or dead zones, ensure sufficient contact between the waste gas and the purification medium, and provide good conditions for the subsequent purification process. An appropriate air flow speed helps to promote the mass transfer process between the pollutants in the waste gas and the purification medium. For example, during the adsorption process, an appropriate air flow speed can enable pollutant molecules to quickly diffuse to the surface of the adsorbent, improving the adsorption efficiency; during the chemical reaction process, a good air flow distribution can ensure sufficient mixing of the reactants, accelerating the reaction rate, and thus affecting the purification effect.

[0112] The fluid structure parameters mainly involve the flow characteristics of the liquid during the purification process, such as liquid flow rate, flow rate, spraying method, etc. For waste gas purification platforms using wet purification processes, such as spray towers, wet scrubbers, etc., the fluid structure parameters determine the uniformity of liquid distribution in the equipment and the contact area with the waste gas. Uniform liquid distribution can enable pollutants in the waste gas to fully react with the liquid, such as absorption, neutralization, etc., improving the purification efficiency. Reasonable fluid structure parameters can enhance the mass transfer effect between the gas and liquid phases. By adjusting parameters such as the spraying angle and flow rate of the liquid, the gas - liquid contact can be made more sufficient, increasing the mass transfer rate of pollutants at the gas - liquid interface, and thus improving the ability to remove pollutants in the waste gas.

[0113] The packing structure parameters can include the type, shape, size, porosity, specific surface area, etc. of the packing. As a key component in the waste gas purification platform, the packing provides a large surface area for gas - liquid mass transfer, adsorption, catalysis and other reactions. Different types of packings have different structural characteristics and performances. Selecting appropriate packing structure parameters can increase the contact area between the waste gas and the purification medium, improving the reaction efficiency.

[0114] Step S104, real - time sense the state parameters of the waste gas purification platform of the target farm and the real - time environmental parameters of the target farm.

[0115] Step S105, based on the state parameters of the waste gas purification platform of the target farm and the real - time environmental parameters of the target farm, use a preset regulation mechanism to control the operation of the waste gas purification platform of the target farm to treat the waste gas generated by the target farm.

[0116] In the actual application process, when starting the waste gas purification platform to treat the waste gas from the breeding farm, in order to ensure the treatment effect and up-to-standard discharge of the waste gas and maintain a stable treatment efficiency, it is necessary to timely adjust the operation control strategy of the waste gas purification platform according to the actual situation. Therefore, after starting the waste gas purification platform of the target breeding farm, it is necessary to real-time sense the state parameters of the waste gas purification platform and the real-time environmental parameters of the target breeding farm, and based on the state parameters of the waste gas purification platform of the target breeding farm and the real-time environmental parameters of the target breeding farm, adopt a preset regulation mechanism to control the operation of the waste gas purification platform of the target breeding farm, so as to treat the waste gas generated by the target breeding farm.

[0117] The preset regulation mechanism will automatically adjust the operation parameters of the purification platform according to the real-time environmental parameters, such as the concentration, type and flow rate of pollutants in the waste gas, and the state parameters of the waste gas purification platform, such as the operating temperature, pressure, and catalyst activity of the equipment. When the concentration of pollutants in the waste gas increases, the regulation mechanism can increase the dosage of the treatment agent, raise the reaction temperature or extend the treatment time to maintain a stable treatment efficiency and ensure that the treated waste gas can meet the discharge standards.

[0118] In the actual application process, the production activities and environmental conditions of the breeding farm are dynamically changing, which will cause the generation amount and composition of the waste gas to change accordingly. For example, the expansion of the breeding scale may increase the waste gas emissions, and the seasonal changes may affect the concentration of some components in the waste gas. By real-time sensing the environmental parameters and using the preset regulation mechanism, the waste gas purification platform can quickly adapt to these changes and avoid the decline of the treatment effect caused by the fluctuations of the environmental parameters.

[0119] The regulation mechanism can reasonably regulate the equipment according to the state parameters of the waste gas purification platform. For example, when the operating temperature of the equipment is too high, the regulation mechanism will start the cooling system to prevent the equipment from being damaged due to overheating, extend the service life of the equipment, and ensure the stable performance of the equipment. By real-time monitoring the state parameters such as the pressure and vibration of the equipment, the regulation mechanism can timely detect potential abnormalities of the equipment. Once an abnormality is detected, the regulation mechanism can take corresponding measures, such as reducing the operating load of the equipment and issuing an alarm, to avoid the occurrence of equipment failures and reduce the production stoppage time and economic losses caused by equipment maintenance.

[0120] The preset regulation mechanism based on real-time parameters can achieve precise resource investment. According to the actual situation of the waste gas, accurately control the consumption of resources such as treatment agents and energy, and avoid waste of resources. For example, when the concentration of pollutants in the waste gas is low, appropriately reduce the dosage of the agent, which can not only ensure the treatment effect but also reduce the agent cost.

[0121] The control mechanism can optimize the operation mode of the equipment according to the changes in the waste gas flow rate and composition, reducing energy consumption. For example, when the waste gas flow rate is small, the operation power of the equipment can be appropriately reduced to achieve the goals of energy conservation and emission reduction, improving the overall economic and environmental benefits of the farm. The preset control mechanism will record the operation parameters of the waste gas purification platform and relevant data during the treatment process. These data not only help the farm itself manage and optimize the waste gas treatment situation, but also facilitate the environmental protection supervision department to conduct supervision and inspection, realizing the traceability of data and improving the environmental management level of the farm.

[0122] For example, in the actual application process, according to the theory of the hierarchical classification model, four major indicators of resources, economic cost, environmental impact, and technical factors can be selected. Combining the waste gas emission model and the requirements of the waste gas purification criteria, with chemical decomposition method and biological filtration as the decision-making objects, a hierarchical classification model for waste gas purification technology decision-making can be established. Build a waste gas purification test platform, and carry out purification parameter operation test tests for reaction materials such as concentrated sulfuric acid, citric acid, and metabolite of beneficial bacteria respectively to explore the physical and chemical reaction characteristics of waste gas components during the purification process. To ensure the reliable operation of the purification system, establish a reasonable process control strategy to control the drip density, conductivity, and pH value of the washing liquid. Based on the relationship between the waste gas purification efficiency and the liquid-gas ratio, an appropriate drip density can be determined to achieve a suitable liquid-gas ratio.

[0123] The conductivity is usually the total amount of ammonia, nitrite, and nitrate in the liquid. By controlling the conductivity in the washing liquid, it can be kept below the maximum solubility of ammonium sulfate to ensure the absorption efficiency of the washing liquid for pollutants such as ammonia. The acidity strength of the washing liquid, that is, the pH value, not only affects the absorption of ammonia but also affects the composition of other pollutants during the purification process. It is also necessary to reasonably control the pH value range of the washing liquid according to the characteristics of the purification method.

[0124] Establish a hierarchical structure for the decision-making of pig house waste gas purification, conduct a qualitative analysis of the importance of factors affecting the waste gas purification technology decision-making, and calculate its relative attribute weights by constructing an attribute judgment matrix. Taking the highest layer as the criterion, construct the attribute judgment matrix of the criterion layer and calculate the relative weights. Taking the middle layer as the criterion, construct the attribute judgment matrix of the scheme layer and calculate the relative weights. Finally, calculate the composite weight of the waste gas purification scheme for the goal, and make a decision according to the given conditions.

[0125] For example, in the experiment, an adaptive control system structure suitable for the target farm can be constructed as Figure 6As shown, based on the sensor network, multi-sensor fusion can be used to collect environmental data. Taking the collection of gas concentration as an example, in the pigsty environment wireless multi-point multi-source remote monitoring system, multiple slave nodes are distributed in the breeding site, jointly collecting in real time and comprehensively analyzing to obtain the real environmental state. In this link, a wireless sensor network data fusion model can be designed to fuse the collected data.

[0126] The system data can be fused by mixing the adaptive weighted algorithm and the D-S (Dempster Shafer) evidence theory fusion algorithm. First, preprocess the data of each collection node in the wireless sensor network, and send the processed data to the coordinator node of the sensor network. At the coordinator node, the adaptive weighted algorithm is used to perform data-level fusion on the data sent by each collection node. The fused different types of data are sent to the main control center in groups, and the D-S evidence theory is used for decision-level fusion to guide control decisions through comprehensive analysis of various environmental parameters.

[0127] For example, in the experiment, a structural diagram of a pigsty waste gas purification system can be constructed, as Figure 7 shown. This system is based on the sensor network and uses multi-sensor fusion to collect the state parameters during the waste gas purification process. According to the waste gas composition emission model at each stage, calculate the minimum mass transfer effective contact time of the purification system. Through the automatic control system, achieve the optimal control parameter matching under different gas concentrations.

[0128] Combining the advantages of the genetic algorithm, such as fast, random, and global convergence, and the advantages of the ant colony algorithm, such as parallel, positive feedback mechanism, and high solution efficiency, design an adaptive multi-objective ant colony genetic algorithm. Monitor multi-source information such as the air velocity through the curtain, the pH value and EC value of the washing liquid, etc. With the goal of controlling the consumption of water, electricity, and deodorant and improving the waste gas purification efficiency, establish a self-optimizing regulation model for pigsty waste gas purification. Use the adaptive multi-objective ant colony genetic algorithm to solve the multi-constraint multi-objective optimization problem, coordinate the pigsty environmental control ventilation, eliminate the influence of system coupling, and optimize the waste gas purification.

[0129] From the technical solutions introduced above, it can be seen that the method provided by the embodiments of the present application can combine the structural characteristics of the centralized ventilation type and the waste gas emission characteristics of the breeding farm. On the basis of realizing efficient purification of the waste gas in the breeding farm, and taking into account the initial investment cost and operation and maintenance costs of the waste gas treatment in the breeding farm, it has the advantages of high-efficiency purification and low energy consumption, and is of great significance for the optimal design of the pigsty waste gas purification spraying system and the selection of supporting equipment.

[0130] Next, the waste gas purification device for breeding farms provided by the embodiments of the present application will be described. The waste gas purification device for breeding farms described below can be mutually referred to the waste gas purification system described above.

[0131] See Figure 8 , Figure 8 which is a schematic structural diagram of an exhaust gas purification device for a farm disclosed in an embodiment of the present application. As Figure 8 shown, the exhaust gas purification device for the farm may include: A first determination unit 101, configured to determine a distributed environment information perception network of the target farm according to the type of the target farm; An acquisition unit 102, configured to acquire environmental parameters of the target farm according to the distributed environment information perception network of the target farm; A construction unit 103, configured to establish and start an exhaust gas purification platform of the target farm based on the environmental parameters of the target farm and the sewage discharge requirements of the target farm; A perception unit 104, configured to perceive in real time the status parameters of the exhaust gas purification platform of the target farm and the real-time environmental parameters of the target farm; A purification unit 105, configured to control the operation of the exhaust gas purification platform of the target farm by using a preset regulation mechanism based on the status parameters of the exhaust gas purification platform of the target farm and the real-time environmental parameters of the target farm, so as to treat the exhaust gas generated by the target farm.

[0132] It can be seen from the technical solutions introduced above that the device in the embodiment of the present application can combine the structural characteristics of the centralized ventilation type of the farm and the exhaust gas emission characteristics, and on the basis of achieving efficient purification of the exhaust gas of the farm, take into account the initial investment cost and operation and maintenance costs of the exhaust gas treatment of the farm, and has the advantages of high-efficiency purification and low energy consumption, which is of great significance to the optimized design of the exhaust gas purification spraying system for livestock and poultry breeding and the selection of supporting equipment.

[0133] Among them, the specific processing flow of each unit included in the above-mentioned exhaust gas purification device for the farm may refer to the relevant introduction in the part of the intelligent management system for fattening pig breeding in the previous text, and will not be elaborated here.

[0134] The exhaust gas purification device provided in the embodiment of the present application can be applied to exhaust gas purification equipment for farms, such as terminals: mobile phones, computers, etc. Optionally, Figure 9 shows a hardware structure block diagram of the exhaust gas equipment for the farm. Referring to Figure 9 , the hardware structure of the exhaust gas purification equipment for the farm may include: at least one processor 1, at least one communication interface 2, at least one memory 3, and at least one communication bus 4.

[0135] In the embodiments of the present application, the number of the processor 1, the communication interface 2, the memory 3, and the communication bus 4 is at least one, and the processor 1, the communication interface 2, and the memory 3 complete the communication with each other through the communication bus 4. The processor 1 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application, etc.; the memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory, etc., such as at least one disk memory; wherein, the memory stores a program, and the processor can call the program stored in the memory, and the program is used to: implement each processing process in the foregoing waste gas purification solution for the terminal breeding farm.

[0136] The embodiments of the present application also provide a readable storage medium, which can store a program suitable for the processor to execute, and the program is used to: implement each processing process in the foregoing waste gas purification solution for the terminal breeding farm.

[0137] Finally, it should also be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the element.

[0138] The various embodiments in this specification are described in a progressive manner, and the key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other.

[0139] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. The various embodiments can be combined with each other. Therefore, the present application will not be limited to these embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An exhaust gas purification system for a farm, characterized in that, The system includes: a multi-source heterogeneous sensing module, a data processing module, a main control module, a chemical decomposition system, a biological filtration system, a waste liquid treatment system, and a fault diagnosis system; Among them, the multi-source heterogeneous sensing module is responsible for sensing each state parameter of the target farm and transmitting it to the data processing module; The data processing module is responsible for preprocessing each state parameter of the target farm transmitted by the multi-source heterogeneous sensing module after receiving it, and transmitting the obtained target multi-source data to the main control module; The main control module is responsible for performing fusion processing on the target multi-source data, generating control decisions for the chemical decomposition system, the biological filtration system, and the waste liquid treatment system, and respectively transmitting the control decisions of the chemical decomposition system, the biological filtration system, and the waste liquid treatment system to the chemical decomposition system, the biological filtration system, and the waste liquid treatment system to control the chemical decomposition system, the biological filtration system, and the waste liquid treatment system to purify the exhaust gas discharged from the target farm.

2. The system according to claim 1, characterized in that, The exhaust gas purification system of the farm further includes a fault diagnosis system; The fault diagnosis system is used to receive and process the fault information fed back by the main control module when the exhaust gas purification system of the farm fails, and give the fault information and fault solution of the exhaust gas purification system of the farm.

3. The system according to claim 1, wherein The target farm includes an exhaust gas purification platform, and the exhaust gas purification platform includes a number of spray valves, pH sensors, water pumps, acid solution tanks, and packing structures; The chemical decomposition system is responsible for controlling the spray valve corresponding to the acid solution tank of the exhaust gas purification platform, and spraying the acid solution in the acid solution tank into the packing structure of the exhaust gas purification platform, so that the packing structure of the exhaust gas purification platform removes ammonia in the exhaust gas discharged from the target farm through a chemical reaction; When the pH sensor detects that the pH of the acid solution in the acid solution tank is higher than a preset first threshold, the water pump corresponding to the acid solution tank is started, and concentrated acid with a preset first concentration is added to the acid solution tank to reduce the pH of the acid solution in the acid solution tank and maintain the ammonia-neutralizing ability of the acid solution in the acid solution tank.

4. The system according to claim 1, characterized in that, The target farm includes an exhaust gas purification platform, and the exhaust gas purification platform includes a number of spray valves, biological solution tanks, and packing structures; The biological filtration system is responsible for controlling the spray valve corresponding to the biological solution tank, and spraying the biological solution in the biological solution tank into the corresponding packing structure of the exhaust gas purification platform, so as to decompose and remove organic pollutants in the exhaust gas discharged from the target farm by the metabolic action of microorganisms in the biological solution.

5. The system according to claim 1, wherein The target farm includes an exhaust gas purification platform; The waste liquid treatment system is responsible for removing pollutants in the waste water generated during the process of the exhaust gas purification platform of the target farm treating the exhaust gas discharged from the target farm to ensure that it meets the discharge standard.

6. The system according to claim 1, wherein The process by which the multi-source heterogeneous sensing module senses each state parameter of the target farm and transmits it to the data processing module includes: The multi-source heterogeneous perception module receives the status data collected by various types of sensors deployed in the target farm, and analyzes the status data collected by each sensor to determine various status parameters of the target farm; After classifying the determined various status parameters of the target farm, they are transmitted to the data processing module.

7. The system according to claim 1, characterized in that The process of the data processing module receiving the various status parameters of the target farm transmitted by the multi-source heterogeneous perception module and preprocessing them to obtain target multi-source data includes: Receiving the various status parameters of the target farm transmitted by the multi-source heterogeneous perception module; Performing data cleaning on the received various status parameters to eliminate error and duplicate data, and obtaining first data; Performing data conversion on the first data to obtain second data; Performing classification processing, data integration processing, and feature extraction processing on the second data to obtain the target multi-source data.

8. The system according to claim 1, wherein The process of the main control module performing fusion processing on the target multi-source data to generate control decisions for the chemical decomposition system, the biological filtration system, and the waste liquid treatment system includes: Receiving the target multi-source data; Analyzing the target multi-source data, and determining the weight coefficients of various status parameters of the target farm according to the influencing factors of each status data in the target multi-source data on the waste gas purification work of the target farm; Based on the weight coefficients of various status parameters of the target farm, determining the relative weights of various status parameters on the chemical decomposition system, the biological filtration system, and the waste liquid treatment system; According to the relative weights of the chemical decomposition system, the biological filtration system, and the waste liquid treatment system and various status parameters, determining control decisions for the chemical decomposition system, the biological filtration system, and the waste liquid treatment system.

9. An exhaust gas purification device for a farm, characterized in that, Including: One or more processors, and a memory; computer-readable instructions are stored in the memory, and when the computer-readable instructions are executed by the one or more processors, the implementation process of the farm waste gas purification system according to any one of claims 1 to 8 is realized.

10. A readable storage medium, characterized in that: Computer-readable instructions are stored in the readable storage medium, and when the computer-readable instructions are executed by one or more processors, one or more processors are caused to realize the implementation process of the farm waste gas purification system according to any one of claims 1 to 8.

Images