Farm waste gas treatment method and related equipment

Abstract

The invention provides a farm waste gas treatment method and related equipment, and the method comprises the steps: determining a distributed environment information sensing network according to the type of a target farm; environment parameters of the target farm are collected according to the distributed environment information sensing network; establishing and starting a waste gas purification platform of the target farm based on the environmental parameters and pollution discharge requirements of the target farm; sensing state parameters and real-time environment parameters of the waste gas purification platform of the target farm in real time; and controlling the operation of the waste gas purification platform of the target farm by adopting a preset regulation and control mechanism so as to treat the waste gas generated by the target farm. The system can combine the concentrated ventilation type structural characteristics and waste gas emission characteristics of the farm, considers the initial investment cost and operation maintenance cost of waste gas treatment of the farm on the basis of realizing efficient purification of the waste gas of the farm, and has the advantages of efficient purification and low energy consumption.

Description

Technical Field

[0001] This application relates to the technical field of breeding management, and in particular, to a method for treating exhaust gas from a breeding farm and related equipment. 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 high land utilization rates, and possess good biological safety and high intelligent levels, gradually becoming one of the important ways of intensive breeding. However, although intensive breeding farms have excellent ventilation conditions, they also lead to more extensive and rapid odor transmission, 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 pose a serious threat to 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, with differences in the physical and chemical properties of different pollutants and relatively low concentrations, 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 between pig houses.

[0004] In the actual application process, the "end purification" technology for the exhaust gas of intensive breeding farms is to treat the discharged exhaust gas using chemical methods or biological methods at the end of the breeding farm. 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 blocking the sewage pipeline; 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 and high ammonia concentration in intensive breeding farms, 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 a method for treating exhaust gas from a breeding farm and related equipment, which is used to solve the technical defect of difficult exhaust gas treatment in existing breeding farms.

[0006] A method for treating waste gas in a farm, comprising: determining a distributed environmental information perception network of the target farm according to the type of the target farm; collecting environmental parameters of the target farm according to the distributed environmental information perception network of the target farm; establishing and starting 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; continuously perceiving the state parameters of the exhaust gas purification platform of the target farm and the real-time environmental parameters of the target farm; and controlling the operation of the exhaust gas purification platform of the target farm by using a preset regulation mechanism based on the state 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 waste gas generated by the target farm.

[0007] Preferably, the establishing and starting the 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 comprises: determining the exhaust gas emission law of the target farm based on the environmental parameters of the target farm; determining an exhaust gas purification platform model of the target farm 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; and establishing and starting the exhaust gas purification platform of the target farm based on the exhaust gas purification platform model of the target farm.

[0008] Preferably, the determining the exhaust gas emission law of the target farm based on the environmental parameters of the target farm comprises: analyzing the environmental parameters of the target farm to determine the components of the exhaust gas discharged 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; establishing a dynamic accumulation model of the target farm based on the components of the exhaust gas discharged 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, wherein the dynamic accumulation model of the target farm is trained with the components of the exhaust gas and the concentration parameters of pollutants of a 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 law of the training farm as a sample label; analyzing the environmental parameters of the target farm through the dynamic accumulation model of the target farm to extract the spatio-temporal characteristic information of the exhaust gas emission of the target farm; and determining the exhaust gas emission law of the target farm based on the spatio-temporal characteristic information of the exhaust gas emission of the target farm.

[0009] Preferably, 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 includes: analyzing the waste gas emission law and structural parameters of the target farm based on the sewage discharge demand of the target farm to determine the treatment strategy for purifying the waste gas of the target farm; determining the air flow structure parameters, fluid structure parameters, and packing structure parameters of the waste gas purification platform model of the target farm based on the environmental parameters, structural parameters, and waste gas treatment strategy of the target farm; and determining the waste gas purification platform model of the target farm based on the air flow structure parameters, fluid structure parameters, and packing structure parameters of the waste gas purification platform model of the target farm.

[0010] Preferably, establishing the waste gas purification platform of the target farm based on the waste gas purification platform model of the target farm includes: determining the installation position of the fan and the flow field distribution structure of the air flow purified by the fan in the target farm according to the air flow structure parameters of the waste gas purification platform model of the target farm and the structural parameters of the target farm; determining the detergent flow rate configuration strategy of the waste gas purification platform of the target farm according to the fluid structure parameters of the waste gas purification platform model of the target farm and the structural parameters of the target farm; determining the material for filling the waste gas purification platform of the target farm and the structure and size of the waste gas purification platform of the target farm according to the packing structure parameters of the waste gas purification platform model of the target farm and the structural parameters of the target farm; and establishing the waste gas purification platform of the target farm according to the material for filling the waste gas purification platform of the target farm and the structure and size of the waste gas purification platform of the target farm.

[0011] Preferably, the exhaust gas purification platform of the constructed target farm includes: 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 exhaust gas outlet of the target farm and the chemical decomposition chamber, and is responsible for uniformly mixing the exhaust gas pollutants of the target farm and reducing the wind speed of the exhaust gas discharged from the target farm to fully mix the exhaust gas discharged from the target farm and then discharge it to the chemical decomposition chamber; the chemical decomposition chamber is responsible for performing pickling spray treatment on the exhaust gas sent by the pressure chamber, and after absorbing the alkaline pollutants in the exhaust gas discharged from the target farm, discharging the exhaust gas that has been purified for the first time to the first biological filtration chamber again; the first biological filtration chamber is connected to the chemical decomposition chamber and the second biological filtration chamber; wherein, both the first biological filtration chamber and the second biological filtration chamber include biological solutions; the first biological filtration chamber is responsible for performing secondary purification on the exhaust gas sent by the chemical decomposition chamber, using the microorganisms in the biological solution to decompose the organic pollutants in the exhaust gas sent by the chemical decomposition chamber for the first time and then discharging it to the second biological decomposition chamber; and then the second biological decomposition chamber further decomposes the organic pollutants in the exhaust gas sent by the first biological decomposition chamber and discharges the obtained gas to the outside.

[0012] Preferably, the process of the chemical decomposition chamber performing pickling spray treatment on the exhaust gas sent by the pressure chamber includes: when the pressure chamber discharges the exhaust 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 packing of the exhaust gas purification platform of the target farm to remove ammonia in the exhaust 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 exhaust gas discharged from the target farm.

[0013] An exhaust gas treatment device for a farm, the device comprising: a first determination unit for determining a distributed environmental information perception network of the target farm according to the type of the target farm; a collection unit for collecting environmental parameters of the target farm according to the distributed environmental information perception network of the target farm; a construction unit for establishing and starting 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 for real-time perceiving the state parameters of the exhaust gas purification platform of the target farm and the real-time environmental parameters of the target farm; and a purification unit for controlling the operation of the exhaust gas purification platform of the target farm by using a preset regulation mechanism based on the state 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.

[0014] An exhaust gas treatment device for a farm, comprising: 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 steps of the exhaust gas treatment method for a farm as described in any one of the foregoing introductions are implemented.

[0015] A readable storage medium, in which computer-readable instructions are stored, and when the computer-readable instructions are executed by one or more processors, one or more processors are caused to implement the steps of the exhaust gas treatment method for a farm as described in any one of the foregoing introductions.

[0016] As can be seen from the above introduction, when low-energy-consuming and high-efficiency purification treatment is required for the exhaust gas discharged from a target farm, the present application can determine the distributed environmental information perception network of the target farm according to the type of the target farm. The exhaust gas capacity, composition and scale discharged from different farms are different, and there are many influencing factors for the exhaust gas generated by farms in the actual application process. By determining the distributed environmental information perception network of the target farm, the environmental parameters of the target farm can be better collected according to the distributed environmental information perception network of the target farm, so that an exhaust gas purification platform of the target farm can be established and started based on the environmental parameters of the target farm and the sewage discharge requirements of the target farm. Creating the exhaust gas purification platform of the target farm according to the environmental parameters of the target farm and the sewage discharge requirements of the target farm can better build an exhaust gas purification platform that more conforms to the sewage discharge requirements of the target farm. After the exhaust gas purification platform of the target farm is built, the exhaust gas purification platform of the target farm can be started. During the operation of the exhaust gas purification platform of the target farm, the state parameters of the exhaust gas purification platform of the target farm and the real-time environmental parameters of the target farm can be sensed in real time, so that the operation of the exhaust gas purification platform of the target farm can be controlled by using a preset regulation mechanism based on the state parameters of the exhaust gas purification platform of the target farm and the real-time environmental parameters of the target farm to treat the exhaust gas generated by the target farm. According to the operation state of the exhaust gas purification platform of the target farm and the real-time environmental parameters of the target farm, the operation of the exhaust gas purification platform of the target farm can be better controlled, and the exhaust gas can be purified intelligently and effectively according to the environment of the target farm, avoiding waste of resources. While improving the exhaust gas purification efficiency of the farm, the cost of exhaust gas purification can also be reduced.

[0017] As can be seen from the above introduction, 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 realizing efficient purification of the exhaust gas of the farm, taking into account the initial investment cost and operation and maintenance cost of the exhaust gas treatment of the farm, has the advantages of high-efficiency purification and low energy consumption, and has important significance for the optimized design of the exhaust gas purification spray system for livestock and poultry breeding 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 drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained according to these drawings without creative efforts.

[0019] Figure 1 It is a flowchart of a method for realizing the treatment of exhaust gas from a farm provided by the present application; Figure 2 Flowchart of an adaptive decision-making mechanism for waste gas treatment in a farm provided by this application Figure 3 Schematic diagram of the architecture of a waste gas purification control system for a pigsty provided by this application Figure 4 Schematic diagram of the research framework of a waste gas purification system for a pigsty provided by this application Figure 5 Schematic diagram of the structure of a waste gas purification test platform for a pigsty provided by this application Figure 6 Schematic diagram of the structure of an intelligent waste gas purification system for a pigsty provided by this application Figure 7 Schematic diagram of the structure of a waste gas treatment device for a farm exemplified by this application Figure 8 Hardware structure block diagram of a waste gas treatment device for a farm disclosed by this application Specific 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 of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0021] In the actual application process, the composition of the waste gas emitted from the farm is complex, with more than 230 kinds. The emitted waste gas not only pollutes the air, soil and water bodies, but also seriously affects the living quality of the surrounding residents. Among the various measures for waste gas purification and treatment, "end purification" has the advantages of high purification efficiency, reliable operation and simple operation compared with "source emission reduction" and "process control" because it is easier to combine with mechanical control. It can also reduce the risk of air-source disease transmission between farms and is considered the main measure for waste gas emission pollution treatment.

[0022] At present, 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, which affects 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.

[0023] In view of the fact that most of the current waste gas treatment solutions for farms are difficult to adapt to complex and changing business requirements, the applicant has studied a waste gas treatment solution for farms. This waste gas treatment solution for farms can effectively and intelligently purify waste gas according to the environment of the target farm, avoiding waste of resources. While improving the waste gas purification efficiency of the farm, it can also reduce the cost of waste gas purification. It can combine the structural characteristics of the centralized ventilation type of the farm and the waste gas emission characteristics. On the basis of realizing efficient purification of the waste gas of the farm, it also takes into account the initial investment cost and operation and maintenance costs of the waste gas treatment of the farm, and has the advantages of high-efficiency purification and low energy consumption. It 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.

[0024] This application can be used in many general-purpose or special-purpose 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. The embodiments of this application provide a waste gas purification solution for farms. This method can be applied to various waste gas treatment systems, and can also be applied to various computer terminals or intelligent terminals. The execution subject can be the processor or server of the computer terminal or intelligent terminal.

[0025] The following combines Figure 1 , and introduces the process of the intelligent management system for fattening pig breeding given in the embodiments of this application. As Figure 1 shown, this process can include the following steps: Step S101, determine the distributed environment information perception network of the target farm according to the type of the target farm.

[0026] Specifically, 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 and 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, controllable in deodorizing and removing ammonia, has good stability and a small floor area, but consumes a lot of electricity and water, and mainly relies on manual regulation. And the floor pig house has a large breeding density and a high ammonia concentration in the pig house, which has high requirements for the operation of the purification system. Therefore, on the premise of ensuring normal ventilation of the floor pig house, it is necessary to consider the stability, operation efficiency and operation energy consumption of the waste gas purification system of the floor pig house.

[0028] Therefore, in order to construct a more efficient and low-energy-consuming end-of-farm exhaust gas purification solution, 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. Therefore, in order to better understand the environmental information of the target farm, the distributed environmental information perception network of the target farm can be determined according to the type of the target farm. For example, in the actual application process, large-scale farms have a large inventory of live pigs, large and numerous pig houses, and a large amount of exhaust gas with complex components is generated. A large number of sensors need to be arranged at multiple key positions to comprehensively sense information such as the concentration, temperature, and humidity of the exhaust gas discharged from the farm, so as to achieve precise monitoring and control of the exhaust gas conditions in the entire breeding area. For small farms, due to their relatively small scale and relatively small amount of exhaust gas generated, the layout of the perception network can be relatively simplified. By setting sensors at key parts, the basic monitoring requirements for the exhaust gas purification system of the farm can be met.

[0029] Furthermore, under the intensive farming mode, the density of livestock and poultry in the farm is high, and the exhaust gas generated per unit area is more, and the environmental control requirements will also become higher. In this case, it is necessary to densely arrange sensors to continuously monitor the environmental parameters in the farm in order to timely adjust the operating parameters of the exhaust gas purification equipment. 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 perception network should be combined with factors such as the terrain and vegetation distribution of the farmland, and key positions such as the surrounding of the farm and the exhaust gas discharge outlets should be monitored 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, feed conversion rates, etc. of different livestock and poultry breeds, and their adaptability to the environment and the amount of exhaust gas generated 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 generated may be relatively high, and more accurate environmental information perception is required to optimize the exhaust gas purification system. Local breed pigs may have strong adaptability to the local environment, and the characteristics of exhaust gas generation are different. The setting of the environmental information perception network should be adjusted according to their specific conditions to achieve efficient exhaust gas treatment.

[0030] Another example is that the requirements for the environment of a breeding pig farm are more stringent. In order to ensure the health and reproductive performance of breeding pigs, it is necessary to precisely control environmental parameters such as the temperature, humidity, and air quality of the pig house. Therefore, the distributed environmental information perception network should be more dense and accurate. It is not only necessary to monitor the exhaust gas indicators, but also to 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 perception is to meet the basic needs of pig growth and comply with environmental protection emission standards, and the setting of the perception network will be different.

[0031] In the actual application process, after determining the distributed environment information perception network of the target farm, different types of sensors can be deployed at each node according to the distributed environment information perception 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, 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.

[0032] 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. Too high concentrations of these gases will stimulate the respiratory tracts of the breeding objects, reduce the resistance of the breeding objects, 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.

[0033] Light sensors can be deployed to monitor the light intensity and light time in the target farm. Appropriate lighting has an important impact on the growth, reproduction and behavior of the breeding objects. 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 environmental light intensity, and transmit the data to the control system.

[0034] Liquid level sensors can be deployed to understand the drinking water situation of the breeding objects, and water level sensors can be used to monitor the water level of the drinking water of the breeding objects to ensure that the breeding objects always have sufficient clean drinking water. Lack of water will affect the feeding, digestion and growth of the breeding objects and seriously endanger their lives in severe cases. For example, a hydrostatic pressure type water level sensor can be deployed, which is a commonly used water level sensor that calculates the water level height by measuring the water pressure and has the advantages of high measurement accuracy and good stability.

[0035] Feed weight sensors can be deployed to monitor the remaining amount of feed in real time, so as to replenish the feed in a timely manner, ensure the feed supply for the cultured objects, and avoid affecting the growth and development of the culture due to insufficient feed. At the same time, the excretion situation of the cultured objects can be evaluated by assessing their eating conditions. For example, a resistance strain type weighing sensor can be deployed. This is a common feed weight sensor that uses the principle that the resistance strain gauge deforms under the action of force, resulting in a change in resistance to measure weight, and has the characteristics of high precision and strong reliability.

[0036] Video monitoring sensors can be deployed to monitor the behaviors, health conditions of the cultured objects and the overall situation of the target farm in real time. Abnormal behaviors of the cultured objects, such as illness, fighting, etc., can be detected in a timely manner, and it is also convenient for the management personnel to master the working conditions of the target farm. For example, network high-definition cameras can be deployed. This is a commonly used video monitoring device in farms. It can achieve remote real-time monitoring, has night vision function and motion detection function, and can transmit the monitoring images to terminal devices such as mobile phones or computers.

[0037] PH sensors can also be deployed to measure the acidity and alkalinity of various liquids in the target farm. The PH sensor is based on the Nernst equation and usually consists of a sensitive membrane that selectively responds to hydrogen ions and a reference electrode. When the sensitive membrane contacts the measured solution, the hydrogen ions in the solution will carry out 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 hydrogen ion activity in the solution, and the potential difference is converted into the corresponding PH value through the Nernst equation, so as to realize 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 example, 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 to 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, resulting in 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 condition of pigs can also be reflected to a certain extent. For example, certain diseases may cause abnormal PH values of urine. The common glass electrode PH sensor has the advantages of high measurement accuracy and good stability, and is widely used in the measurement of the PH values of various liquids. There is also an antimony electrode PH sensor, which can be applied to some special environments, such as the measurement of PH values under conditions of high temperature, high salt, etc.

[0038] 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 current passes through the solution, 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 solution, 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 the feed solution, 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 used are inductive EC sensors, which adopt a non-contact measurement method. By generating an alternating magnetic field through an inductive coil, an induced current is generated in the solution, thereby measuring the electrical conductivity of the solution. This type of sensor has advantages such as anti-pollution and corrosion resistance and is suitable for electrical conductivity measurement in various complex environments. There are also electrode-type EC sensors, which directly insert the electrodes into the solution for measurement, with characteristics such as high measurement accuracy and fast response speed, and are widely used in electrical conductivity measurement in laboratories and industrial production.

[0039] Step S102, according to the distributed environmental information perception network of the target farm, collect the environmental parameters of the target farm.

[0040] Specifically, in the actual application process, there are some pain points to be solved in the waste gas purification process of the farm. For example, when raising pigs, it is necessary to ensure the breeding environment in the house while scientifically deodorizing and removing waste gas. In the actual application process, it mainly relies on manual control, with low efficiency and high costs in consuming electric energy, water resources, deodorants, etc.

[0041] Therefore, in order to build a more scientific, energy-saving, and efficient waste gas treatment plan for the farm, it is necessary to comprehensively and accurately understand the actual situation of the farm. Therefore, after determining the distributed environmental information perception network of the target farm, it can be considered to collect the environmental parameters of the target farm according to the distributed environmental information perception network of the target farm, so as to construct a waste gas purification treatment plan that better matches the target farm with reference to the environment of the target farm.

[0042] Among them, 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).

[0043] Through each sensor in the distributed environmental information perception network, the concentration and composition of waste gas at positions such as inside the target farm and the waste gas emission outlet can be monitored in real time, such as ammonia, hydrogen sulfide, carbon dioxide, volatile organic compounds, etc. Under different breeding stages, seasons, and feeding management methods, the concentration and composition of waste gas will change. For example, in a pig farm, when the ventilation in the pig house is poor in winter, the ammonia concentration may increase significantly. Accurately mastering these data helps to determine the treatment capacity of the waste gas purification equipment and the targeted purification process.

[0044] Furthermore, through the distributed environmental information perception network, data can be continuously collected in the long term, so as to analyze the law of waste gas emission from the farm. For example, after pigs eat and move during a specific period of each day, the waste gas emission may increase. Understanding the emission law can reasonably arrange the operation time of the waste gas purification equipment, improve the operation efficiency of the equipment, and reduce energy consumption and operation costs. According to the environmental parameters of the target farm collected, such as temperature, humidity, etc., the waste gas purification equipment can be adjusted in real time. For example, some purification equipment has better purification effect under suitable temperature and humidity conditions. Through the information feedback by the distributed environmental information perception network of the target farm, the operation parameters of the waste gas treatment equipment in the target farm can be adjusted in time to ensure its operation under the best working conditions and improve the waste gas purification efficiency.

[0045] Furthermore, continuously monitoring environmental parameters also helps to promptly detect possible failures in the waste gas purification system. When the waste gas concentration in a certain area rises abnormally or the equipment operation parameters deviate from the normal range, the distributed environmental information perception network can quickly issue an alarm to remind the staff to promptly check for faults, avoiding the harm to the environment and the health of pigs caused by unqualified waste gas emissions due to equipment failures.

[0046] In the actual application process, the environmental protection department has strict standards and requirements for the waste gas emissions of farms. Through the environmental parameters collected by the distributed environmental information perception network of the target farm, it can be ensured that the waste gas purification plan complies with relevant regulations and standards, enabling the waste gas of the farm to meet the standards for emission and avoiding penalties and environmental disputes caused by illegal emissions. In addition, the environmental parameters inside the target farm have an important impact on the growth and health status of the breeding objects. By collecting environmental parameters, not only can the waste gas purification plan be optimized, but also the air quality of the target farm can be improved, providing a good living environment for the breeding objects, reducing the occurrence of respiratory diseases, etc., and improving the breeding efficiency.

[0047] With the development of the farm and the changes in the scale and mode of farming, the exhaust gas emissions will also change accordingly. Based on the distributed environmental information perception network of the target farm, collecting the environmental parameters of the target farm can provide data support for the adjustment and optimization of the exhaust gas purification plan. For example, when the number of livestock in the farm increases, according to the information of the increased exhaust gas concentration collected, purification equipment can be added or the purification process can be adjusted in a timely manner to ensure the purification effect.

[0048] The long-term accumulation of environmental parameter data helps the farm to make long-term plans and decisions. Based on the distributed environmental information perception network of the target farm, collecting the environmental parameters of the target farm can, by analyzing historical data, understand the trends and change rules of the exhaust gas emissions of the farm, provide a scientific basis for future upgrades of farming facilities, improvements in exhaust gas treatment technologies, and adjustments to the site layout, etc., and achieve the sustainable development of the farm. In the actual application process, based on the environmental parameters of the target farm and the sewage discharge requirements of the target farm, the process of establishing and starting the exhaust gas purification platform of the target farm can include the following steps: Step S1021, based on the environmental parameters of the target farm, determine the exhaust gas emission rule of the target farm.

[0049] Specifically, during the process of establishing an exhaust gas purification platform for a farm, the environmental parameters of the target farm can reflect the exhaust gas emission pattern of the target farm. Understanding the exhaust gas emission pattern of the target farm is very important for constructing the exhaust gas purification platform of the target farm. By analyzing data such as the concentration and flow rate of exhaust gas in the environmental parameters of the target farm, the exhaust gas generation volume of the farm at different time periods can be determined. For example, when the breeding density is high and the ventilation is poor, the exhaust gas generation volume may increase. Based on these data, the treatment scale of the exhaust gas purification platform can be reasonably designed to ensure that it has sufficient treatment capacity to handle the exhaust gas emissions during peak periods and avoid unqualified exhaust gas treatment due to insufficient treatment capacity. Different exhaust gas emission patterns have different requirements for treatment processes. If the emission pattern shows that the exhaust gas contains high concentrations of malodorous gases such as ammonia and hydrogen sulfide and the emissions are relatively stable, treatment processes with strong pertinence such as biological filters and chemical scrubbing can be selected; if the content of volatile organic compounds in the exhaust gas is high and the emissions fluctuate greatly, processes such as activated carbon adsorption and catalytic combustion may be required. Selecting a suitable treatment process according to the exhaust gas emission pattern can improve the treatment efficiency and reduce the treatment cost. After understanding the exhaust gas emission pattern of the farm, the operating parameters of the exhaust gas purification platform of the farm can be optimized according to the exhaust gas characteristics at different time periods. For example, during the period when the exhaust gas emission concentration of the farm is high, increase the dosage of treatment agents, raise the reaction temperature or extend the treatment time; when the emission concentration is low, appropriately reduce the operating parameters to save energy and reagent consumption and achieve precise treatment. The exhaust gas emission pattern of the farm will also affect the operating load and wear degree of the equipment. According to the emission pattern, the maintenance time of the equipment can be reasonably arranged. For example, carry out equipment inspection and maintenance during the low valley period of exhaust gas emissions, which can not only ensure that the equipment is in good condition before high-load operation, but also reduce the impact on normal treatment work and extend the service life of the equipment.

[0050] The environmental protection department has strict standards and supervision requirements for the exhaust gas emissions of farms. By mastering the exhaust gas emission pattern of farms and designing and operating the exhaust gas purification platform in a targeted manner, it can be ensured that farms can meet the environmental protection emission standards at any time and avoid being punished for unqualified emissions. Clearly defining the exhaust gas emission pattern of farms and recording relevant environmental parameters can provide accurate data support for environmental protection supervision. These data can be used to prove the effectiveness of the exhaust gas treatment measures of farms, and at the same time, it is also helpful for the environmental protection department to accurately evaluate and supervise the regional environmental quality. Therefore, in order to better construct exhaust gas purification measures that meet the target farm, the exhaust gas emission pattern of the target farm can be determined based on the environmental parameters of the target farm, so that the exhaust gas purification platform model that meets the target farm can be determined based on the exhaust gas emission pattern of the target farm.

[0051] Step S1022: Determine the waste gas purification platform model of the target farm based on the waste gas emission law, sewage discharge requirements, and structural parameters of the target farm.

[0052] Specifically, the waste gas emission law of the target farm reflects the generation amount, concentration change, and emission time characteristics of the waste gas of the target farm. Based on this information, combined with the pollutant emission standards specified in the sewage discharge requirements, the required treatment capacity of the waste gas purification platform can be determined.

[0053] For example, if the waste gas emission of the target farm is large and the pollutant concentration is high, and at the same time, the sewage discharge requirements call for strict emission standards, it is necessary to design a waste gas purification platform model with strong treatment capacity and high purification efficiency to ensure that the waste gas can be effectively treated and meet environmental protection requirements.

[0054] In the actual application process, different waste gas emission laws and sewage discharge requirements are suitable for different treatment processes. For example, for waste gas containing high-concentration ammonia, hydrogen sulfide and other malodorous gases with stable emissions, biological deodorization processes may be more suitable; while for waste gas containing a variety of volatile organic compounds with large concentration fluctuations, combined processes such as adsorption-catalytic combustion may be required. At the same time, specific pollutant indicators in the sewage discharge requirements will also affect the choice of treatment processes.

[0055] Secondly, factors such as the building layout and regional distribution of the farm will also affect the waste gas purification plan of the farm. In the actual application process, the structural parameters of the farm include building layout, breeding area distribution, ventilation system settings, etc. These factors will affect the waste gas collection and transportation methods, as well as the installation location and space requirements of the waste gas purification platform. For example, if the farm is a multi-story building, it is necessary to consider how to efficiently collect waste gas from each floor and transport it to the purification platform; if the space of the farm is limited, it is necessary to select a waste gas purification platform model with a small footprint and a compact layout to ensure that it can be reasonably installed in the farm without affecting normal breeding production activities.

[0056] For example, the structure of the farm will affect the flow characteristics of the internal air flow, and the air flow organization is crucial for the waste gas collection and treatment effects. Based on the structural parameters of the farm, a reasonable air flow organization plan can be designed to enable the waste gas to smoothly enter the purification platform and fully contact the treatment medium during the treatment process, improving the treatment efficiency. For example, by adjusting the position and size of the ventilation openings, setting flow guiding plates, etc., optimize the flow path of the waste gas in the farm to better meet the operating requirements of the waste gas purification platform.

[0057] Therefore, when determining the exhaust gas emission regulation value of the target farm, based on the exhaust gas emission regulation of the target farm, the sewage discharge demand of the target farm, and the structural parameters of the target farm, the exhaust gas purification platform model of the target farm can be determined. By comprehensively considering the exhaust gas emission regulation and sewage discharge demand of the target farm, the most suitable exhaust gas treatment process for the target farm can be selected, and then the exhaust gas purification platform model corresponding to the target farm can be determined.

[0058] By comprehensively considering the exhaust gas emission regulation, sewage discharge demand, and farm structural parameters of the target farm, the most economical exhaust gas purification platform model can be selected on the premise of meeting the exhaust gas treatment requirements.

[0059] For example, if the exhaust gas emission of the target farm has a certain periodicity, a purification platform that can flexibly adjust the operation mode according to the exhaust gas emission cycle can be selected. When the exhaust gas emission is low, the operation power can be reduced to save energy consumption and operation costs. At the same time, combined with the structure of the farm, the exhaust gas collection and transportation system can be reasonably planned to reduce the pipeline laying length and equipment investment cost.

[0060] Determining the exhaust gas purification platform model based on the actual situation of the target farm helps to improve the convenience of operation and management. For example, according to the personnel configuration and management level of the farm, a purification platform with simple operation and high automation degree can be selected to facilitate the daily operation and maintenance of the staff; according to the geographical location and climate conditions of the farm, equipment and processes suitable for the local environment can be selected to reduce equipment failures and unstable operation caused by environmental factors, and ensure the long-term stable operation of the exhaust gas purification platform.

[0061] Step S1023: Based on the exhaust gas purification platform model of the target farm, establish and start the exhaust gas purification platform of the target farm.

[0062] Specifically, in the actual application process, the exhaust gas purification platform model provides comprehensive guidance and basis for the construction and operation of the actual platform. The exhaust gas purification platform model of the target farm is constructed based on in-depth research on the exhaust gas emission regulation of the target farm, and it clarifies the key design parameters such as the required treatment capacity and treatment efficiency of the exhaust gas purification platform of the target farm. For example, the exhaust gas purification platform model of the target farm will determine the scale and treatment process of the exhaust gas purification equipment of the target farm according to the types, concentrations, and emission flows of pollutants in the exhaust gas of the target farm, such as selecting a suitable activated carbon adsorption device or biological filter, etc., to ensure that the exhaust gas purification platform of the target farm can effectively treat the exhaust gas generated by the target farm. The exhaust gas purification platform model of the target farm can also determine the design requirements of the exhaust 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 exhaust gas can be efficiently collected from the breeding area to the exhaust gas purification platform of the target farm for treatment.

[0063] Based on the waste gas purification platform model of the target farm, the purification equipment and supporting facilities suitable for the target farm can be accurately selected.

[0064] 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 of the target farm, the air flow direction, and the convenience of operation and maintenance, the waste gas purification platform model of the target farm will plan the best installation positions of each equipment, making the waste gas purification system of the entire target farm compact, efficient, and not affecting the normal production activities of the target farm.

[0065] 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 adjustment plan of the operation parameters 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.

[0066] The waste gas purification platform model of the target farm can also provide a basis for the design of the automatic control system to realize the 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 operation status of the purification equipment in real time, according to the control logic preset by the waste gas purification platform model of the target farm, the operation parameters of the equipment are automatically adjusted to ensure that the waste gas purification platform of the target farm is always in the best operation state, ensuring the stability and reliability of the waste gas treatment effect of the target farm.

[0067] 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, predict the treatment effect of the waste gas purification platform of the target farm on waste gas, energy consumption, equipment service life and other indicators, discover possible problems in advance, and optimize and adjust the waste gas purification platform model of the target farm.

[0068] 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, before the actual construction and operation, the waste gas purification platform of the target farm can be continuously improved to improve its performance and economy.

[0069] 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 based on the waste gas purification platform model of the target farm, establish and start the waste gas purification platform of the target farm to purify the waste gas discharged from the target farm.

[0070] Step S103, based on the environmental parameters of the target farm and the sewage discharge demand of the target farm, establish and start the waste gas purification platform of the target farm.

[0071] Specifically, as introduced above, this application can continuously collect the environmental information of the target farm through a distributed environmental information perception network. By analyzing the environmental information of the target farm, the environmental situation of the target farm can be understood, and information such as the types, concentrations, and emission laws of pollutants in the waste gas of the farm can be clarified, such as ammonia, hydrogen sulfide, volatile organic compounds, etc.

[0072] In the actual application process, due to factors such as breeding types, scales, processes, and geographical locations, the environmental parameters and sewage discharge demands of different farms are different. For example, the components and concentrations of waste gas generated by pig farms and chicken farms are different, and the sewage discharge of large farms is larger than that of small farms. The waste gas purification platform established based on these differences can meet the personalized needs of each farm and ensure that the purification effect meets the actual requirements.

[0073] For example, after determining information such as the types, concentrations, and emission laws of pollutants in the waste gas of the farm, such as ammonia, hydrogen sulfide, and volatile organic compounds, and then combining with the sewage discharge demand of the target farm, the specific purification target and treatment scale can be determined, so that the waste gas purification platform can effectively treat these specific pollutants, achieve precise treatment, improve the purification efficiency, and reduce environmental pollution.

[0074] Furthermore, if the environmental parameters of the target farm are determined and combined with the sewage discharge requirements of the target farm, the most suitable waste gas purification technologies and equipment for the target farm can be selected. For example, for the treatment of high-concentration ammonia, the biological filter technology may be more effective; for the removal of volatile organic compounds, activated carbon adsorption or photocatalytic oxidation technology may be more suitable. This can avoid blindly selecting technology and equipment, achieve the rational utilization of resources, and reduce construction and operation costs. Further, after understanding the environmental parameters and sewage discharge requirements of the target farm, the energy consumption in the waste gas purification process can be optimized. For example, according to the temperature and flow rate of the waste gas emissions, a heat energy recovery system can be reasonably designed to convert the heat energy in the waste gas into other uses, such as for heating or hot water supply in the farm, improving energy utilization efficiency and reducing energy waste.

[0075] Furthermore, with the increasingly strict environmental protection requirements, relevant departments require farms to comply with relevant waste gas emission standards. By establishing a waste gas purification platform based on environmental parameters and sewage discharge requirements, it can ensure that the waste gas emissions from the farm meet the standards, avoid being punished or shut down due to environmental protection issues, and guarantee the sustainable operation of the farm. Good environmental management helps improve the social image of the farm and enhance consumers' trust in its products.

[0076] Therefore, after determining the environmental parameters of the target farm, an efficient waste gas purification platform of the target farm can be established and launched based on the environmental parameters of the target farm and the sewage discharge requirements of the target farm, so as to better treat the waste gas discharged from the target farm, reduce the impact of the waste gas on the surrounding environment and residents, reflect the farm's emphasis on environmental protection, facilitate the long-term development of the enterprise, and achieve a win-win situation of economic and environmental benefits.

[0077] Step S104, continuously sense the status parameters of the waste gas purification platform of the target farm and the real-time environmental parameters of the target farm.

[0078] Specifically, after establishing the waste gas purification platform of the target farm, the waste gas purification platform of the target farm can be launched to treat the waste gas discharged from the target farm. To ensure the waste gas treatment effect of the target farm, guarantee the normal operation of the equipment, and achieve the dynamic balance between the environment and production, after launching the waste gas purification platform of the target farm, it is also necessary to continuously sense the status parameters of the waste gas purification platform of the target farm and the real-time environmental parameters of the target farm. So as to timely understand the waste gas emission situation, compare with the emission standards, and judge whether the treated waste gas meets the standards. If it is found that the concentration of a certain pollutant is close to or exceeds the limit value, the treatment process or equipment parameters can be adjusted in time to ensure that the waste gas is always discharged up to standard, avoiding environmental pollution and related penalties.

[0079] By perceiving the state parameters of the waste gas purification platform in the target farm, such as reaction temperature, catalyst activity, equipment operation power, etc., and combining the changes in the waste gas composition and concentration in the real-time environmental parameters, the efficiency of the current treatment process can be analyzed. Based on this information, the treatment process can be optimized, such as adjusting the dosage of chemicals, changing the reaction time, etc., to improve the waste gas purification effect and reduce pollutant residues. Further, real-time monitoring of the state parameters of the waste gas purification platform enables managers to timely grasp the operating conditions of the equipment. For example, by monitoring parameters such as the pressure, vibration, and temperature of the equipment, problems such as blockage, wear, and overheating of the equipment can be detected in advance. Once an abnormality is found, maintenance measures can be taken in a timely manner to avoid the interruption of waste gas treatment or the decline in treatment effect caused by equipment failure. According to the operating state parameters of the equipment, the operating mode and maintenance plan of the equipment can be reasonably adjusted. For example, avoiding the equipment operating under overload or abnormal conditions and timely maintaining and repairing the equipment can reduce equipment wear, extend the service life of the equipment, and reduce equipment replacement and maintenance costs.

[0080] In the actual application process, the production activities of the target farm may change, such as adjustments in the breeding scale, replacement of breeding varieties, changes in feed formulations, etc. These will all lead to changes in the waste gas generation volume and composition. Real-time perception of environmental parameters can timely understand these changes, and thus correspondingly adjust the operating parameters of the waste gas purification platform to always adapt to the production changes of the farm and ensure that the waste gas treatment effect is not affected by production adjustments. Changes in external environmental conditions such as temperature, humidity, and air pressure will also have a certain impact on the waste gas treatment effect. At the same time, the requirements for the waste gas emissions of the farm by the surrounding environment may also change with the adjustment of environmental protection policies. Real-time monitoring of environmental parameters helps the farm timely respond to these external changes and make necessary adjustments to the waste gas purification platform to meet environmental requirements and achieve the coordinated development of the environment and production.

[0081] 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 control 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.

[0082] Specifically, when starting the waste gas purification platform to treat the waste gas of the farm, in order to ensure the treatment effect and up-to-standard emission 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 farm, it is necessary to real-time perceive the state parameters of the waste gas purification platform and the real-time environmental parameters of the target farm, and 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 control 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.

[0083] The preset control mechanism can automatically adjust the operating parameters of the purification platform according to real-time environmental parameters such as the concentration, type, and flow rate of pollutants in the waste gas, as well as 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 control 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 emission standards.

[0084] In the actual application process, the production activities and environmental conditions of the farm are dynamically changing, which will cause the generation volume and composition of the waste gas to change accordingly. For example, the expansion of the breeding scale may increase the waste gas emissions, and seasonal changes may affect the concentration of certain components in the waste gas. By perceiving the environmental parameters in real time and using the preset control mechanism, the waste gas purification platform can quickly adapt to these changes and avoid the decline in treatment effect caused by fluctuations in environmental parameters.

[0085] The control 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 control 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 control mechanism can timely detect potential abnormalities of the equipment. Once an abnormality is detected, the control 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 downtime and economic losses caused by equipment maintenance.

[0086] The preset control mechanism based on real-time parameters can achieve precise input of resources. 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.

[0087] The control mechanism can optimize the operating mode of the equipment according to the changes in the waste gas flow rate and composition, and reduce energy consumption. For example, when the waste gas flow rate is small, appropriately reduce the operating power of the equipment to achieve the goal of energy conservation and emission reduction, and improve the overall economic and environmental benefits of the farm. The preset control mechanism will record the operating parameters of the waste gas purification platform and the 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, realize the traceability of data, and improve the environmental management level of the farm.

[0088] For example, in the actual application process, according to the hierarchical classification model theory, four major indicators of resources, economic costs, environmental impacts, and technical factors can be selected. Combining with the waste gas emission model and the requirements of waste gas purification criteria, taking chemical decomposition method and biological filtration as 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 for reaction materials such as concentrated sulfuric acid, citric acid, and metabolite of beneficial bacteria, 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 waste gas purification efficiency and liquid-gas ratio, an appropriate drip density can be determined to achieve a suitable liquid-gas ratio.

[0089] The conductivity is usually the total amount of ammonia, nitrite, and nitrate in the liquid. By controlling the conductivity of 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.

[0090] Establish a hierarchical structure for pig house waste gas purification decision-making, conduct a qualitative analysis of the importance of factors affecting 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 combined weight of the waste gas purification scheme for the goal, and make a decision according to the given conditions.

[0091] For example, in the experiment, an adaptive control system structure suitable for the target farm can be constructed as Figure 2 shown. Based on the sensor network, multi-sensor fusion can be used to collect environmental data. Taking gas concentration collection as an example, multiple slave nodes of the wireless multi-point multi-source remote monitoring system for pig house environment are distributed in the breeding site to jointly collect in real time and comprehensively analyze to obtain the real environmental state. In this link, a wireless sensor network data fusion model can be designed to fuse the collected data.

[0092] The system data can be fused by a method that combines an adaptive weighted algorithm and a D-S (Dempster Shafer) evidence theory fusion algorithm. First, preprocess the data of each acquisition node in the wireless sensor network, and send the processed data to the coordinator node of the sensor network. At the coordinator node, use the adaptive weighted algorithm to perform data-level fusion on the data sent by each acquisition node. Send the fused different types of data to the main control center in groups, and use the D-S evidence theory for decision-level fusion to guide the control decision through comprehensive analysis of various environmental parameters.

[0093] For example, in the experiment, a structural diagram of a pigsty waste gas purification system can be constructed, as Figure 3 shown. This system is based on a sensor network and uses multi-sensor fusion to collect the state parameters during the waste gas purification process. According to the waste gas component emission model at each stage, calculate the minimum mass transfer effective contact time of the purification system. Through an automatic control system, achieve the optimal control parameter matching under different gas concentrations.

[0094] Combining the advantages of the genetic algorithm, such as fast, random, and global convergence, and the advantages of the ant colony algorithm, such as parallelism, positive feedback mechanism, and high solution efficiency, design an adaptive multi-objective ant colony genetic algorithm. Monitor multi-source information such as the cross-curtain wind speed, pH value, and EC value of the washing liquid. 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.

[0095] It can be seen from the above introduction that when it is necessary to purify the waste gas discharged from the target farm, the method provided by the embodiment of 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 efficient purification of the waste gas of the farm, taking into account the initial investment cost and operation and maintenance cost of the waste gas treatment of the farm, having the advantages of high-efficiency purification and low energy consumption, and is of great significance for the optimal design of the waste gas purification spray system for livestock and poultry breeding and the selection of supporting equipment.

[0096] It can be known from the above introduction that the method provided by the embodiment of the present application can determine the waste gas emission law of the target farm based on the environmental parameters of the target farm. Next, introduce this process, which can include the following: Step S201, analyze the environmental parameters of the target farm to determine the waste gas components discharged from the target farm, the concentration parameters of pollutants, the temperature change situation of the target farm, and the cross-curtain wind speed of the target farm.

[0097] Specifically, different farming species, feed types, and farming environments can lead to different components in the exhaust gas of farms. For example, the exhaust gas from livestock and poultry farms usually contains ammonia, hydrogen sulfide, volatile organic compounds (VOCs), particulate matter, etc. Determining the exhaust gas components helps select appropriate exhaust gas treatment technologies and equipment. Different pollutants require different treatment methods. For example, ammonia is suitable for treatment with acidic absorbents, while hydrogen sulfide can be removed by oxidation methods.

[0098] The concentration of pollutants in the exhaust gas is directly related to the degree of impact of the exhaust gas on the environment and human health, and also determines the difficulty and cost of exhaust gas treatment. High-concentration pollutants require more efficient treatment processes and larger treatment equipment to ensure that the emissions meet environmental protection standards. At the same time, understanding the variation law of pollutant concentration can help optimize the operating parameters of the exhaust gas treatment equipment, adjust the intensity of the treatment process according to the concentration level, and achieve the goals of energy conservation, emission reduction, and reduction of operating costs.

[0099] Temperature has an important impact on the emission and diffusion of exhaust gas. On the one hand, an increase in temperature will accelerate the metabolism of livestock and poultry, resulting in an increase in the respiratory rate, thus accelerating the exhaust gas emission rate. On the other hand, temperature changes will affect the physical and chemical properties of pollutants in the exhaust gas, and thus affect their diffusion and transmission in the atmosphere. For example, at high temperatures, the volatilization rate of volatile organic compounds is faster, and the exhaust gas is more likely to form secondary pollutants such as ozone. In addition, temperature also affects the performance of exhaust gas treatment equipment. For example, the microbial activity in biological treatment processes is relatively sensitive to temperature, and the operating parameters need to be adjusted according to temperature changes.

[0100] The cross-curtain air velocity determines the air circulation speed in the farm and the exhaust gas discharge efficiency. An appropriate cross-curtain air velocity helps to timely discharge the exhaust gas in the farm, reduce the accumulation of exhaust gas in the indoor environment, and improve the farming environment. At the same time, the cross-curtain air velocity also affects the diffusion mode and range of the exhaust gas. If the air velocity is too high, it may cause the exhaust gas to be discharged into the surrounding environment without sufficient treatment, affecting the surrounding air quality; while if the air velocity is too low, the exhaust gas will accumulate near the farm, increasing the impact of odor and pollutants on the surrounding residents. In addition, the cross-curtain air velocity is also closely related to the design and operating cost of the farm ventilation system, and needs to be reasonably adjusted and optimized according to the actual situation.

[0101] Therefore, in order to understand the exhaust gas emission law of the target farm, it is necessary to analyze the environmental parameters of the target farm, determine the exhaust gas components emitted by the target farm, the concentration parameters of pollutants, the temperature change situation of the target farm, and the cross-curtain air velocity of the target farm.

[0102] Step S202, based on the exhaust gas components emitted by the target farm, the concentration parameters of pollutants, the temperature change situation of the target farm, and the cross-curtain air velocity of the target farm, establish a dynamic accumulation model of the target farm.

[0103] Specifically, in the actual application process, the law of exhaust gas emissions is related to the exhaust gas components, pollutant concentrations, and the temperature and humidity of the farm. Moreover, the exhaust gas components and pollutant concentrations emitted by the farm are not fixed and will be affected by various factors such as the scale of farming, feeding methods, and seasons. For example, as the number of livestock increases or the feed composition changes, the concentrations of pollutants such as ammonia and hydrogen sulfide in the exhaust gas may rise. Understanding the exhaust gas components and concentration parameters of pollutants emitted by the target farm, the temperature changes of the target farm, and the cross-curtain wind speed of the target farm can reflect the exhaust gas emission status of the target farm at different time points in real time.

[0104] Therefore, in order to better understand the law of exhaust gas emissions of the target farm, a dynamic accumulation model of the target farm can be established based on the exhaust gas components and pollutant concentration parameters emitted by the target farm, the temperature changes of the target farm, and the cross-curtain wind speed of the target farm. Through the dynamic accumulation model, the diffusion and accumulation of the exhaust gas emitted by the farm in the surrounding environment can be predicted, and the impact on environmental elements such as the surrounding air quality, soil, and water bodies can be evaluated. For example, the dynamic accumulation model can simulate the concentration distribution of pollutants in the exhaust gas within a certain range under different meteorological conditions, providing a scientific basis for determining the safety protection distance between the farm and sensitive areas such as residential areas and water sources. By using the dynamic accumulation model, the changes in exhaust gas components and concentrations can be predicted to ensure that the exhaust gas treatment equipment is always in an efficient operation state and improve the pollutant removal efficiency. The dynamic accumulation model can provide detailed exhaust gas emission data and reports for the farm, helping it to prove its environmental compliance and cope with the supervision and inspection of the environmental protection department.

[0105] Among them, the dynamic accumulation model of the target farm is trained with the exhaust gas components and pollutant concentration parameters of the training farm, the temperature changes of the training farm, and the cross-curtain wind speed of the training farm as training samples, and the exhaust gas emission law of the training farm as the sample label.

[0106] In the actual application process, the ammonia concentration, ventilation wind speed, 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 waste 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 metrics 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.

[0107] Step S203, analyze the environmental parameters of the target farm through the dynamic accumulation model of the target farm, and extract the spatio-temporal characteristic information of the waste gas emissions of the target farm.

[0108] Specifically, as introduced above, the various environmental parameter data of the target farm include, but are not limited to, the waste gas components, pollutant concentrations, temperature, cross-curtain wind speed, 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 waste 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 waste gas-related parameters at various positions in the farm at different times, so as to obtain the variation law of waste gas emissions over time.

[0109] Combined with the structural parameters and geographical information of the farm, the dynamic accumulation model of the target farm can analyze the distribution of waste gas in different areas of the farm. For example, by simulating the waste gas concentration distribution at different positions, the high-concentration areas and low-concentration areas of waste gas emissions in the farm, as well as the main paths and directions of waste gas diffusion, can be determined. This helps to understand the spatial propagation characteristics of waste gas and provides a basis for reasonably setting the positions of waste gas collection and treatment equipment.

[0110] Furthermore, by analyzing the time series data output by the dynamic accumulation model of the target farm, the time characteristic information of waste gas emissions can be extracted. The periodic variation law of waste gas emissions can be observed, such as whether there are day-night differences, seasonal changes, etc. At the same time, analyze the peak and valley values of waste gas emissions at different time points, as well as the reasons and influencing factors for the occurrence of these extreme values. For example, it may be found that due to the accelerated metabolism of livestock and poultry in summer, the waste gas emission concentration peaks at specific times of the day.

[0111] Based on the results of spatial analysis and time series analysis, the spatio-temporal characteristic information of the exhaust gas emissions from the target farm can be summarized. These characteristic information may include the main time periods of exhaust gas emissions, the location and scope of high-concentration emission areas, the laws of exhaust gas emissions changing with seasons and weather, etc. By grasping these characteristic information, the exhaust gas emission behavior of the target farm can be comprehensively understood, providing strong support for formulating targeted exhaust gas treatment measures and environmental management strategies.

[0112] Step S204, based on the spatio-temporal characteristic information of the exhaust gas emissions from the target farm, determine the exhaust gas emission law of the target farm.

[0113] Specifically, the spatio-temporal characteristic information of the exhaust gas emissions from the target farm can comprehensively reflect the time variation law and spatial distribution characteristics of the exhaust gas emissions. Based on this information, the exhaust gas emission law can be accurately determined. Therefore, after extracting the spatio-temporal characteristic information of the exhaust gas emissions from the target farm, by analyzing the time series data of the exhaust gas emissions, the periodic characteristics of the emissions can be discovered.

[0114] For example, due to factors such as the work and rest rules of livestock and poultry, feeding time, and operation time of the ventilation system in the farm, the exhaust gas emissions may show daily or weekly periodic changes. For example, turning on the ventilation equipment at a fixed time every day will cause the exhaust gas emission concentration to peak during the corresponding period. Mastering this periodic law can determine the basic pattern of the exhaust gas emissions changing with time. Seasonal factors have a significant impact on the exhaust gas emissions from the farm. The growth rate, feed intake, water intake, and metabolic rate of livestock and poultry are different in different seasons, which will lead to differences in the amount of exhaust gas generated and the emission concentration. At the same time, seasonal changes will also affect the ventilation conditions and atmospheric diffusion ability. For example, in summer when it is hot, the breathing frequency of livestock and poultry increases, the exhaust gas emission rate may increase, and due to strong atmospheric convection, the exhaust gas diffuses relatively quickly; in winter, on the contrary, the exhaust gas emission rate may decrease, but due to high atmospheric stability, the exhaust gas is prone to accumulation. Analyzing the spatio-temporal characteristic information of the exhaust gas emissions in different seasons can clarify the law of the exhaust gas emissions changing with seasons.

[0115] The functions of different areas in the farm are different, such as the breeding area, feed storage area, manure treatment area, etc. These areas are all emission sources of waste gas. Through spatial characteristic information, the location and relative intensity of each emission source can be determined, and the contribution of different areas to the overall waste gas emission can be understood. For example, the breeding area may be the main emission source of pollutants such as ammonia and hydrogen sulfide, while the manure treatment area may generate more volatile organic compounds. Clarifying the spatial distribution of emission sources helps to grasp the source law of waste gas emission. The diffusion path and scope of waste gas in the farm and the surrounding environment are affected by various factors, such as ventilation mode, topography, building layout, etc. By analyzing spatial characteristic information, the diffusion direction and influence area of waste gas under different wind directions and wind speeds can be understood. For example, in the downwind area of the dominant wind direction, the waste gas concentration is relatively high and the influence scope is also large. Mastering the law of the diffusion path and scope of waste gas is of great significance for evaluating the impact of waste gas on the surrounding environment and determining the protection distance.

[0116] 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 during the process of fresh air entering the pig house breeding environment, undergoing heat and mass transfer and then becoming waste gas emissions, there is obvious environmental temperature accumulation, as Figure 4 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 change law between the waste gas components and the breeding environment can be revealed, which can provide a basis for the subsequent design of waste gas purification units and also provide a reference for the optimal design of the ventilation structure in the pig house to ensure the animal welfare environment.

[0117] Secondly, as Figure 4 shown in part c of

[0118] such as Figure 4In the shown pregnancy pen waste gas purification system, the waste gas purification system realizes dynamic adjustment through the feedback data of 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 can monitor the air quality in the pen in real time and transmit the data to the central control system through Zigbee wireless transmission technology. The system uses built-in algorithms to analyze the current environmental state, compare it with the preset standards, and automatically determine whether to start or adjust the waste gas treatment process. When the monitored waste gas concentration exceeds the set threshold, the system will increase the spraying amount of the deodorant, and reduce it correspondingly when the concentration decreases, ensuring resource conservation. The working frequencies of the washing pump and the circulating water pump will also be adjusted according to the waste gas state, thereby dynamically adjusting the number and working mode of the deodorization equipment, optimizing the treatment efficiency, and achieving savings in deodorant, water, and electricity.

[0119] As can be seen from the above-described solution, the present application can determine the spatio-temporal characteristic information of the waste gas emissions of the target farm based on the environmental parameters of the target farm. These information cover the key elements in both the time and space dimensions. Through in-depth analysis and summary of these information, the waste gas emission law of the target farm can be comprehensively and accurately determined, providing a scientific basis for subsequent waste gas treatment and environmental management.

[0120] As can be seen from the above introduction, the present application can determine the waste gas purification platform model of the target farm based on the waste gas emission law of the target farm, the sewage discharge requirements of the target farm, and the structural parameters of the target farm. The following is an introduction to this process, which can include the following: Step S301, based on the sewage discharge requirements of the target farm, analyze the waste gas emission law of the target farm and the structural parameters of the target farm, and determine the treatment strategy for purifying the waste gas of the target farm.

[0121] Specifically, different regions have strict environmental protection standards for the exhaust gas emissions of farms. The sewage discharge requirements, exhaust gas emission patterns, and the structure of the farms will all affect the exhaust gas purification measures for the farms. To better treat the exhaust gas of the target farm, based on the sewage discharge requirements of the target farm, the exhaust gas emission patterns 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. Analyzing the exhaust gas emission patterns based on the sewage discharge requirements of the farm can accurately understand whether the emission concentrations, emission amounts, etc. of various pollutants in the farm exhaust gas meet the standards, so as to formulate treatment strategies targeted, ensure that the exhaust gas emissions meet the environmental protection requirements, and avoid fines or other environmental problems caused by illegal emissions. By continuously analyzing the exhaust gas emission patterns, the sewage discharge situation of the farm under the new policy can be grasped in a timely manner, and the treatment strategy can be adjusted according to the policy, so that the farm can always maintain compliance operation. Analyzing the exhaust gas emission patterns can understand the generation amount and emission peak of pollutants. Combining with the structural parameters of the farm, such as the breeding scale, building layout, etc., the appropriate scale of exhaust gas treatment equipment and treatment process can be determined, so that the treatment capacity matches the emission requirements, and avoid waste of resources caused by oversized equipment or poor treatment effect due to undersized equipment. Different exhaust gas emission patterns and farm structures will affect the exhaust gas collection and treatment methods. For example, if the farm buildings are relatively scattered, a distributed exhaust gas collection system may be required; if the concentration of a certain pollutant in the exhaust gas is relatively high, a special treatment link for this pollutant can be added in the treatment process, so as to optimize the treatment process and improve the treatment efficiency.

[0122] After understanding the exhaust gas emission patterns and structural parameters, the most economical and effective treatment technology can also be selected. For exhaust gas with relatively low emission concentration and relatively simple composition, relatively simple and low-cost treatment methods can be used, such as biological filtration; while for exhaust gas with high concentration and complex composition, combined treatment technologies may be required, but through precise analysis, over-treatment can be avoided and the cost can be reduced. According to the exhaust gas emission patterns and the farm structure, it is possible to realize the recycling of resources in the exhaust gas. For example, some farms produce exhaust gas containing a certain amount of heat energy or recyclable substances. Through reasonable design of the treatment strategy, these resources can be recycled, which not only reduces pollution, but also can reduce the operating cost of the farm, achieving a win-win situation of economic and environmental benefits.

[0123] Analyzing the exhaust gas emission patterns and structural parameters helps to determine the distribution of exhaust gas in the farm. By formulating appropriate treatment strategies, the exhaust gas concentration in the breeding area can be effectively reduced, the breeding environment can be improved, the impact of exhaust gas on the health of livestock and poultry can be reduced, and the breeding efficiency can be improved. The staff of the farm work in the breeding environment for a long time, and too high exhaust gas concentration will cause harm to their physical health. Determining the treatment strategy based on the exhaust gas emission patterns and structural parameters can ensure the air quality in the farm, protect the physical health of the staff, and reduce the potential costs brought by occupational health problems.

[0124] Step S302: Determine the air flow structure parameters, fluid structure parameters, and packing structure parameters of the waste gas purification platform model of the target farm based on the environmental parameters, structural parameters, and waste gas treatment strategy of the target farm.

[0125] Specifically, the temperature and humidity of the farm will affect the physical properties and diffusion characteristics of the waste gas. For example, in a high-temperature and high-humidity environment, the moisture content in the waste gas is relatively high, which may affect the interaction between the gas and the purification material during the purification process. When determining the air flow structure parameters, it is necessary to consider the influence of temperature on the viscosity and density of the gas to ensure appropriate gas flow velocity and flow rate, and guarantee the purification effect. At the same time, when the humidity is relatively high, the selected packing structure parameters should consider its moisture resistance and water treatment ability to avoid the performance of the packing being affected by water absorption.

[0126] Local meteorological conditions such as wind direction and wind speed also determine the diffusion direction and speed of the waste gas around the farm. If there is often wind blowing in a certain direction, the design of the air flow structure parameters of the waste gas purification platform should consider how to utilize the wind direction so that the purified gas can diffuse better and avoid secondary pollution to the farm and its surrounding environment. In addition, different wind speeds require adjusting the speed and flow rate of the air flow outlet to ensure that the waste gas can be effectively discharged and fully mixed and diluted with the outside air.

[0127] On the other hand, the breeding scale determines the generation amount of the waste gas and the distribution of the emission sources. Large-scale farms may require multiple waste gas purification platforms or larger-scale treatment facilities, and their air flow structure parameters should be designed according to the size and shape of the breeding area to ensure effective collection and treatment of the waste gas. The layout of the farm, such as the arrangement and spacing of the breeding houses, affects the waste gas collection method and air flow direction. For example, if the spacing between the breeding houses is small, the design of the air flow structure parameters should avoid interference between the waste gases during collection. At the same time, according to the ventilation system design in the house, appropriate fluid structure parameters should be determined to enable the waste gas to be smoothly transported from the breeding house to the purification platform.

[0128] The building structure of the farm, such as the roof form and wall materials, has a certain impact on the accumulation and emission of the waste gas. If it is an open roof with good ventilation, the waste gas is more likely to be discharged naturally, but it is also necessary to consider how to combine with this natural ventilation in the design of the purification platform, adjust the air flow structure parameters, and improve the purification efficiency. For farms with special heat insulation or ventilation designs on the walls, the position and number of waste gas collection ports should be determined according to their characteristics, which in turn affect the selection of fluid structure parameters and packing structure parameters to ensure that the waste gas can efficiently enter the purification platform and be effectively treated.

[0129] On the other hand, different waste gas treatment processes have different requirements for air flow, fluid and packing structure parameters. For example, when using the biofilter method to treat waste gas, it is necessary to determine the appropriate air flow rate and residence time according to the working principle of the biofilter and the growth conditions of microorganisms, which determines the air flow structure parameters. At the same time, a packing suitable for the attachment and growth of microorganisms should be selected, and its structure parameters such as porosity and specific surface area should meet the survival and metabolic needs of microorganisms. If the activated carbon adsorption method is used, the air flow structure parameters should ensure that the gas can fully contact the activated carbon, the fluid structure parameters should consider the replacement and regeneration methods of the adsorbent, and the packing structure parameters are mainly designed around the characteristics of the activated carbon to achieve the best adsorption effect.

[0130] On the other hand, clear treatment objectives and emission standards also determine the parameter design of the purification platform model. If it is required to reduce the concentration of a certain pollutant in the waste gas to a specific level, it is necessary to adjust the air flow structure parameters according to the nature of the pollutant and the treatment process to control the residence time and flow rate of the gas in the purification equipment, so as to ensure that the pollutant has enough time to react with the purification material or be adsorbed. The fluid structure parameters should ensure that the purifying agent or circulating liquid can be evenly distributed and fully contact the waste gas, and the packing structure parameters should optimize their performance to improve the removal efficiency of the target pollutant, so as to meet the treatment objectives and emission standards.

[0131] Therefore, after determining the waste gas treatment strategy for the target farm, the air flow structure parameters, fluid structure parameters, and packing structure parameters of the waste gas purification platform model of the target farm can be determined based on the environmental parameters, structural parameters of the target farm, and the waste gas treatment strategy of the target farm, so that the waste gas purification platform model of the target farm can be constructed according to this information.

[0132] Step S303, determine the waste gas purification platform model of the target farm based on the air flow structure parameters, fluid structure parameters, and packing structure parameters of the waste gas purification platform model of the target farm.

[0133] Specifically, the waste gas purification platform model can be used to simulate and predict processes such as the flow, mass transfer, and reaction of waste gas in the purification platform. The gas flow structure parameters, fluid structure parameters, and packing structure parameters are important components of the waste gas purification platform model and directly affect the purification effect and efficiency of waste gas. For example, gas flow structure parameters such as wind speed, wind direction, and gas flow distribution determine the flow path and residence time of waste gas in the purification platform. A reasonable gas flow structure can evenly distribute the waste gas in the purification platform, avoid gas flow short-circuit or dead zones, ensure sufficient contact between the waste gas and the purification medium, and provide good conditions for subsequent purification processes. An appropriate gas flow velocity helps to promote the mass transfer process between pollutants in the waste gas and the purification medium. For example, during the adsorption process, an appropriate gas flow velocity can enable pollutant molecules to quickly diffuse to the surface of the adsorbent, improving the adsorption efficiency; during the chemical reaction process, a good gas flow distribution can ensure sufficient mixing of reactants, accelerating the reaction rate, and thus affecting the purification effect.

[0134] For another example, fluid structure parameters mainly involve the flow characteristics of liquids during the purification process, such as liquid flow velocity, flow rate, spraying method, etc. For waste gas purification platforms using wet purification processes, such as spray towers and wet scrubbers, 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 and neutralization reactions, 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 removal ability of pollutants in the waste gas. For example, in the purification of acidic waste gas, by optimizing the fluid structure parameters, the alkaline absorption liquid can be made to fully contact the acidic waste gas, effectively improving the absorption effect of acidic gases.

[0135] Packing structure parameters 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, catalytic 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 and improve the reaction efficiency. For example, in a biofilter, using packing with a large porosity and high specific surface area is beneficial for the attachment and growth of microorganisms, providing a good environment for microorganisms to degrade pollutants in the waste gas. The structure of the packing also affects the distribution of gas flow and fluid in the purification platform. Appropriate packing shape and size can make the gas flow and fluid more uniform when passing through the packing layer, avoiding situations where the local flow velocity is too high or too low. This helps to improve the processing efficiency of the entire purification platform and reduce the difference in purification effect caused by uneven gas flow or fluid distribution.

[0136] Based on the airflow structure parameters, fluid structure parameters, and packing structure parameters of the waste gas purification platform model for the target farm, the purification process of waste gas in the purification platform can be described and predicted more accurately, thereby determining the waste gas purification platform model for the target farm, and providing a theoretical basis for the design, optimization, and operation of waste gas purification equipment. In order to construct a waste gas purification plan suitable for the target farm, based on the airflow structure parameters, fluid structure parameters, and packing structure parameters of the waste gas purification platform model for the target farm, the waste gas purification platform model for the target farm can be determined, so that a waste gas purification plan suitable for the target farm can be constructed based on the waste gas purification platform model for the target farm.

[0137] As can be seen from the above-described technical solutions, the method provided in the embodiments of the present application can determine the waste gas purification platform model for the target farm based on the waste gas emission law of the target farm, the sewage discharge requirements of the target farm, and the structural parameters of the target farm, so that a waste gas purification plan suitable for the target farm can be constructed based on the waste gas purification platform model for the target farm.

[0138] As can be seen from the above introduction, the present application can establish a waste gas purification platform for the target farm based on the waste gas purification platform model for the target farm. Next, the process will be introduced, and the process may include the following: Step S401: Determine the installation position of the fan in the target farm and the flow field distribution structure of the airflow in the fan purification chamber according to the airflow structure parameters of the waste gas purification platform model for the target farm and the structural parameters of the target farm.

[0139] Specifically, the installation position of the fan in the target farm and the flow field distribution structure of the airflow in the fan purification chamber are crucial for the environmental control and waste gas treatment of the farm. The airflow structure parameters of the waste gas purification platform model specify the airflow velocity, flow rate, and flow direction entering the purification platform, etc. In order to enable the waste gas in the farm to smoothly enter the waste gas purification platform according to the design requirements, it is necessary to determine the installation position of the fan based on these parameters. For example, if the waste gas purification platform requires the inlet airflow velocity to be a specific value, then the fan should be installed at a position that can generate an airflow at that velocity, usually at the end of the waste gas collection pipeline or near the inlet of the waste gas purification platform, to ensure that the waste gas can be transported to the waste gas purification platform for treatment at an appropriate speed. The airflow structure parameters also include the distribution of the airflow in the purification chamber. By analyzing these parameters, the airflow velocity and pressure distribution at different positions in the purification chamber can be understood. In order to achieve a uniform airflow distribution and avoid situations such as airflow short-circuit or local eddy currents that are not conducive to waste gas purification, the installation position of the fan needs to be adjusted according to the flow field distribution structure. For example, in the purification chambers of some large-scale farms, multiple fans may need to be installed and distributed at different positions according to the requirements of the airflow structure parameters to ensure that the airflow in the entire purification chamber is uniform and stable, and improve the waste gas purification efficiency.

[0140] On the other hand, the structural parameters of the farm include the size, shape, layout of the breeding houses, and the positions of passages, doors and windows, etc. The installation position of the fan needs to consider the overall layout of the farm so as to effectively collect and convey the waste gas without affecting the breeding production and personnel operation. For example, for a long-strip breeding house, the fans may be installed at both ends or on the sides to evenly extract the waste gas in the house; while for a farm with multiple breeding areas, it is necessary to reasonably arrange the fan positions according to the positions of each area and the waste gas generation amount so that the waste gas can smoothly converge to the purification platform from different areas. The building structure of the farm will also affect the air flow, such as the materials and shapes of the walls and roofs. These factors need to be considered when determining the fan installation position and the air flow field distribution structure. For example, if the roof of the farm is a sloping roof with good ventilation, the installation position of the fan can utilize the ventilation advantage of the roof to guide the waste gas to be discharged to a high place, and at the same time form a reasonable air flow path indoors; while for a farm with heat insulation layers or special ventilation designs on the walls, the position of the fan and the air flow organization need to cooperate with the ventilation method of the walls to ensure the smooth and stable indoor air flow.

[0141] Therefore, in order to establish a waste gas purification platform suitable for the target farm, the fan installation position of the target farm and the air flow field distribution structure of the air flow purified by the fan in the room can be determined based on the air flow structure parameters of the waste gas purification platform model of the target farm and the structural parameters of the target farm. By comprehensively considering the air flow structure parameters of the waste gas purification platform model of the target farm and the structural parameters of the farm, the fan installation position and the air flow field distribution structure of the air flow purified by the fan in the room can be scientifically and reasonably determined, so as to effectively collect and treat the waste gas of the farm and well control the indoor environment.

[0142] Step S502: Determine the detergent flow rate configuration strategy of the waste gas purification platform of the target farm according to the fluid structure parameters of the waste gas purification platform model of the target farm and the structural parameters of the target farm.

[0143] Specifically, in the actual application process, the detergent flow rate configuration of the waste gas purification platform also needs to be set according to the actual situation of the target farm. The liquid flow rate, flow rate, spraying method, etc. in the fluid structure parameters of the waste gas purification platform model determine the flow characteristics and distribution of the detergent in the waste gas purification platform. In order to enable the pollutants in the waste gas to fully contact and react with the detergent, it is necessary to determine the appropriate detergent flow rate according to the fluid structure parameters. For example, in a spray tower, if the liquid flow rate is too low, the detergent cannot evenly cover the entire tower cross-section, resulting in some waste gas not being able to fully contact the detergent and affecting the purification effect; while too high a flow rate may cause problems such as flooding, which is also not conducive to waste gas purification. Therefore, it is necessary to calculate and configure the detergent flow rate based on the appropriate liquid flow rate range specified in the fluid structure parameters to ensure that the gas-liquid two-phase can fully contact in the purification platform and improve the removal efficiency of pollutants.

[0144] Different waste gas pollutants need to undergo specific mass transfer and chemical reactions with the detergent to be effectively removed. The fluid structure parameters will affect the rates of these mass transfer and reaction processes. For example, when absorbing acidic waste gas, it is necessary to calculate the required detergent flow rate based on factors such as the concentration of acidic substances in the waste gas, the reaction equilibrium constant, and the gas-liquid mass transfer coefficient determined by the fluid structure parameters, to ensure that there is enough alkaline detergent to react with the acidic waste gas for neutralization, so that the acidic pollutants in the waste gas can be fully absorbed and converted into harmless substances. If the detergent flow rate is insufficient and cannot meet the stoichiometric relationship of the reaction, it will lead to incomplete waste gas purification.

[0145] The structural parameters of the target farm include the area of the breeding house, the number of livestock, the ventilation system, etc. These factors are directly related to the waste gas generation amount of the farm. Generally speaking, the larger the breeding scale, the more waste gas is generated, and it is necessary to correspondingly increase the detergent flow rate to treat more waste gas. For example, compared with a small chicken farm, a large pig farm has a larger breeding house area and a larger inventory, and generates much more waste gas. The detergent flow rate required for its waste gas purification platform will be larger than that of the chicken farm. By analyzing the structural parameters of the farm, the waste gas generation amount can be roughly estimated, and then the detergent flow rate configuration can be determined according to the requirements of waste gas purification to ensure that the detergent can meet the needs of treating all the waste gas of the farm.

[0146] The structural layout of the farm will also affect the installation location and spatial size of the waste gas purification platform, and thus affect the detergent flow configuration. If the waste gas purification equipment is installed in a location with limited space and may not be able to accommodate a large-capacity detergent storage and supply system, it is necessary to optimize the detergent flow configuration on the premise of ensuring the purification effect, select a more efficient detergent or adopt a more reasonable spraying method, etc., to reduce the amount of detergent used. At the same time, the structure of the farm may also affect the layout of the detergent delivery pipeline. If the pipeline is long or has many bends, it will increase the fluid resistance. At this time, it is necessary to appropriately adjust the flow rate and pressure of the detergent to ensure that the detergent can reach each spraying point of the purification platform smoothly, realizing uniform spraying and efficient purification.

[0147] Therefore, in order to achieve efficient and economical waste gas purification treatment, the detergent flow configuration strategy of the waste gas purification platform of the target farm can be determined based on the fluid structure parameters of the waste gas purification platform model of the target farm and the structural parameters of the target farm.

[0148] Step S503: Determine the material for filling the waste gas purification platform of the target farm, as well as the structure and size of the waste gas purification platform of the target farm, according to the packing structure parameters of the waste gas purification platform model of the target farm and the structural parameters of the target farm.

[0149] Specifically, the packing structure parameters of the waste gas purification platform model include the type, shape, size, specific surface area, porosity, etc. of the packing. Different packing materials have different physical and chemical properties and are suitable for different waste gas purification requirements. For example, activated carbon packing has a large specific surface area and adsorption capacity and is suitable for adsorbing organic waste gas; while ceramic packing has good corrosion resistance and chemical stability and is commonly used in the treatment of acidic or alkaline waste gas. According to the requirements for packing performance in the packing structure parameters, such as adsorption performance, catalytic performance, mass transfer performance, etc., appropriate filling materials can be selected to ensure that the waste gas purification platform can effectively remove target pollutants. The packing structure parameters will affect the flow resistance and mass transfer efficiency of the waste gas in the purification platform. For example, the porosity of the packing determines the resistance of the gas passing through the packing layer. If the porosity is small, the gas flow resistance is large, and a larger fan power is required to push the waste gas through. At the same time, it may also affect the overall structural design of the purification platform, and it is necessary to increase the height or diameter of the platform to reduce the gas flow rate and resistance. In addition, the specific surface area and shape of the packing will affect the gas-liquid mass transfer efficiency. In order to ensure sufficient mass transfer area and contact time, it is necessary to reasonably design the structure and size of the purification platform according to these parameters of the packing, such as increasing the thickness of the packing layer, setting up a suitable gas-liquid distribution device, etc., to improve the waste gas purification effect.

[0150] The structural parameters of the target farm reflect the scale of farming, the types of livestock and poultry being raised, and the characteristics of exhaust gas generation. Generally, the larger the farming scale, the more exhaust gas is generated, and a larger-sized exhaust gas purification platform is required to handle the exhaust gas. For example, large-scale farms may require multiple purification towers in parallel or series, or use large integrated purification equipment to meet the demand for treating a large amount of exhaust gas. At the same time, the composition and concentration of exhaust gas generated by different types of livestock and poultry are also different, which affects the selection of packing materials and the structural design of the purification platform. For example, the exhaust gas from a chicken farm may contain more ammonia, and packing materials with good absorption or decomposition effects on ammonia, such as acidic fillers or fillers with catalytic oxidation properties, need to be selected, and corresponding structures need to be designed to enhance the gas-liquid contact and reaction effects. Factors such as the building structure, site size, and layout of the farm limit the installation location and available space of the exhaust gas purification platform. If the space of the farm is limited, a compact and efficient purification platform structure needs to be designed, and appropriate packing materials and layout methods need to be selected to achieve good purification effects within the limited space. For example, multi-layer packing beds or new types of high-efficiency fillers can be used to reduce the floor area of the purification platform. On the contrary, if the farm has sufficient space, more flexibility can be considered in the design of the purification platform, but the coordination with the surrounding environment and overall aesthetics also need to be considered. In addition, the ventilation system and the location of the exhaust gas outlet of the farm will also affect the structure and size of the purification platform, and it is necessary to ensure that the exhaust gas purification platform matches the overall ventilation and exhaust gas collection system of the farm so that the exhaust gas can smoothly enter the exhaust gas purification platform for treatment.

[0151] Therefore, in order to achieve the best match between the exhaust gas purification system and the actual situation of the farm and achieve the goal of efficiently and stably treating exhaust gas, 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 based on the packing structure parameters of the exhaust gas purification platform model of the target farm and the structural parameters of the target farm.

[0152] Step S504: Establish the exhaust gas purification platform of the target farm according to 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.

[0153] Specifically, the materials used to fill the waste gas purification platform of the target farm, as well as the structure and size of the platform, are key elements in establishing the waste gas purification platform. Understanding these aspects provides a specific material basis and design reference for constructing the waste gas purification platform of the target farm. On the other hand, characteristics such as the corrosion resistance, abrasion resistance, and stability of the filling materials will affect the service life and maintenance costs of the waste gas purification platform. The structural design of the waste gas purification platform determines the overall framework of the equipment, including the airflow channels, the layout of the packing layer, and the positions of the inlets and outlets. A reasonable structural design can ensure the uniform distribution of waste gas within the platform, sufficient contact with the filling materials, and improved purification efficiency. The size of the platform is determined based on the waste gas generation volume of the target farm and the site conditions. It is necessary to ensure that the platform has sufficient processing capacity to handle all the waste gas generated by the farm and meet environmental protection requirements. The size of the platform also needs to adapt to the site space of the farm to ensure the reasonable installation and operation of the equipment without affecting other production activities of the farm.

[0154] To select appropriate materials, design a reasonable platform structure and size, and thus establish a waste gas purification platform that meets the actual needs of the target farm and effectively treats the waste gas from the farm, it is possible to establish the waste gas purification platform of the target farm based on the materials used to fill the waste gas purification platform of the target farm, as well as the structure and size of the waste gas purification platform of the target farm, so as to effectively treat the waste gas from the farm.

[0155] As can be seen from the above, this application can establish the waste gas purification platform of the target farm based on the waste gas purification platform model of the target farm, so as to effectively treat the waste gas from the farm.

[0156] As introduced above, the waste gas purification platform of the target farm constructed in this application can include: a pressure chamber, a chemical decomposition chamber, a first biological filtration chamber, and a second biological filtration chamber; among them, 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 so as to fully mix the waste gas discharged from the target farm and then discharge it to the chemical decomposition chamber.

[0157] The chemical decomposition chamber is responsible for pickling and spraying the waste gas discharged from the pressure chamber. After absorbing the alkaline pollutants in the waste gas discharged from the target farm, the waste gas that has undergone the first purification treatment is discharged to the first biological filtration chamber again. Among them, the process of pickling and spraying the waste gas discharged from the pressure chamber by the chemical decomposition chamber can include the following: when the pressure chamber discharges the waste gas to be treated to the chemical decomposition chamber, the water spray valve is started, and the acid solution in the acid solution pool is sprayed 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 of the target farm, the pH value of the acid solution in the acid solution pool is monitored in real time, and when the pH value of the acid solution in the acid solution pool is higher than the preset first threshold, the water pump is started, and concentrated acid with a preset concentration is added 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.

[0158] Among them, the preset first threshold can be set to 4.5, and the preset concentration can be set in the range of [30%, 80%].

[0159] Among them, in the chemical decomposition chamber, ammonia is absorbed and converted into ammonium ions in the reduced form through a chemical reaction in a dilute acidic solution. The reaction equations involved are as follows: (1) (2) Equation (1) represents the equilibrium reaction of ammonia solubility in an acidic solution. This equation describes the solubility of ammonia 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 of carbon dioxide, methane, and hydrogen sulfide are , and respectively. The equilibrium constant of Equation (2) is equal to the ratio of the forward and backward reaction rate constants.

[0160] (3) Equation (3) better describes the relationship between the reaction rate and the , and concentrations. 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 1.78×10^9, which is conducive to the progress of the backward reaction.

[0161] 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 sensor detects that the pH value of the acid solution in the acid solution pool is higher than 4.5, the acid adding pump can be started to add the concentrated acid solution in the range of [30%, 80%] into the acid solution pool to lower the pH value of the acid solution in the acid solution pool, so as to ensure that the acid solution has the ability to neutralize ammonia gas.

[0162] 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 them to the second biological decomposition chamber; 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.

[0163] Microbial degradation technology is used for washing. A large number of known dominant strains can be used, such as photosynthetic bacteria. This strain has low requirements for the composition and content conditions of specific pollutants such as wastewater, waste gas, and waste residue, has a variety of high-purification-capability microorganisms, can effectively improve the biodegradability of pollutants, improve the removal rates of chemical oxygen demand (COD), ammonia nitrogen, total phosphorus, and toxic and harmful substances, and at the same time has the advantages of less sludge volume, short startup time, high operation stability and shock resistance, safety and harmlessness, and convenient use and maintenance.

[0164] (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 a process of microbial degradation of waste gas. The dominant strains can be attached to the wet curtain through slowly flowing water to degrade ammonia, hydrogen sulfide, and nitrous acid contained in the air at the end of livestock and poultry breeding.

[0165] After experiments, this application takes the waste gas purification treatment of a pig house as an example to introduce the process of building a waste gas purification treatment platform for a pig house. The waste gas purification test platform for a pig house is as Figure 5As 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, the main consideration is to achieve the uniform distribution of the washing liquid in the washing liquid flow rate configuration, and the precise control of the liquid droplet diameter and the spraying range. In the actual application process, based on the porosity of the packing structure, the relationship between the packing structure size, the air velocity inside the packing, the minimum effective mass transfer contact time, and the pressure drop is comprehensively considered to determine the material, structure, and size of the packing.

[0166] In this experiment, the packing size (length × width × height) of the pig house waste gas purification test platform was set to 680 mm × 680 mm × 150 mm, the diameter of the hexagonal through-hole was 25 mm. At this time, the gas velocity inside the packing was 1 m / s, and the pressure drop before and after was about 10 Pa.

[0167] For example, taking the Figure 5 waste gas purification treatment of the pig house shown as an example, the waste gas discharged from the pig house enters the pressure chamber (area ②), and the fan promotes the mixing of the waste gas and at the same time reduces the air velocity to facilitate entry into the subsequent purification process. Subsequently, the waste gas enters the chemical decomposition chamber (area ③), where the acid solution reacts with the ammonia in the waste gas. Most of the ammonia is reacted to form 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), where 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.

[0168] In the actual application process, the spatio-temporal accumulation model of the pig house waste gas components can be combined. Through theoretical analysis and experimental tests, the coupling correlation mechanism of factors such as the air velocity through the curtain, the air flow organization, the packing structure, and the 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, and the key structural parameters of the pig farm waste gas purification unit can be determined. While ensuring the ventilation requirements of the pig house, the waste gas purification efficiency can be improved. Among them, the coupling correlation mechanism can be expressed as the mathematical model relationship of each parameter. Using the self-optimizing pig house waste gas purification regulation model, the optimal solution can be calculated, that is, adjusting the fan air velocity, the packing size structure, and the spraying rate parameters to maximize the waste gas purification efficiency while meeting the ventilation requirements of the pig house.

[0169] For example, based on the above-introduced solution, this application can construct an Figure 6 intelligent pig house waste gas purification system as shown in Figure 6The intelligent pigsty exhaust gas purification system shown includes two working modes: an energy-saving mode and a high-efficiency mode. This system can achieve more efficient and energy-saving intelligent treatment of the exhaust gas discharged from the pigsty, and can also give early warnings about faults occurring in each component.

[0170] Among them, the deodorant tank is used to store the deodorant required for treating the exhaust gas, and the deodorant pump is responsible for pumping and transporting the deodorant to the reservoir. In the reservoir, after the clear water and the wastewater are mixed, the washing pump sends the deodorant mixture to the washing equipment to remove the harmful components in the exhaust gas. The treated wastewater is guided to the sedimentation tank, where the solid impurities settle, and the clear water is sent back to the system for reuse through the circulation pump, forming a closed loop. The reservoir is not only used for adding clear water but also for storing the treated wastewater. 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 spray stop valve is used to control the spraying of the deodorant to ensure effective treatment at the appropriate time and conditions. The entire system ensures the best treatment effect through real-time monitoring and automatic adjustment in the high-efficiency mode. In the energy-saving mode, the system uses pressure sensors, pH sensors, and conductivity sensors to monitor the status of the exhaust gas and wastewater in real time, and automatically adjusts the supply amount of the deodorant and the working frequency of the pumps, thereby reducing energy consumption and avoiding full operation when the pigsty load is low.

[0171] 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 outlet, the size of the pressure chamber, the size of each stage of the filter screen, 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 method of this application; the annual power consumption, annual water consumption, annual acid consumption, and exhaust gas purification efficiency of the purification treatment of the pig farm can also be analyzed.

[0172] From the above introduction, it can be seen that this application can effectively carry out intelligent and effective exhaust gas purification according to the environment of the target farm, avoiding waste of resources. While improving the exhaust gas purification efficiency of the farm, it can also reduce the cost of exhaust gas purification. It 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, taking into account the initial investment cost and operation and maintenance costs of the exhaust gas treatment of the farm, having the advantages of high-efficiency purification and low energy consumption, which is of great significance for the optimized design of the livestock and poultry breeding exhaust gas purification spray system and the selection of supporting equipment.

[0173] The following describes the farm waste gas treatment device provided in the embodiments of the present application. The farm waste gas treatment device described below can be correspondingly referred to the farm waste gas treatment described above.

[0174] See Figure 7 , Figure 7 which is a schematic structural diagram of a farm waste gas treatment device disclosed in the embodiments of the present application. As Figure 7 shown, the farm waste gas treatment device may include: a determination unit 101, configured to determine a distributed environment information perception network of a target farm according to the type of the target farm; a collection unit 102, configured to collect 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 a waste 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 continuously perceive the state parameters of the waste gas purification platform of the target farm and the real-time environmental parameters of the target farm; and a purification unit 105, configured to control the operation of the waste gas purification platform of the target farm by using a preset regulation mechanism 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, so as to treat the waste gas generated by the target farm.

[0175] It can be seen from the above introduction that the present application can effectively perform intelligent and effective waste gas purification according to the environment of the target farm, avoiding resource waste. While improving the waste gas purification efficiency of the farm, it can also reduce the cost of waste gas purification. It 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 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, having the advantages of high-efficiency purification and low energy consumption, and 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.

[0176] Among them, for the specific processing procedures of each unit included in the above-mentioned farm waste gas treatment device, reference can be made to the relevant introduction in the part of the farm waste gas treatment method described above, and details will not be described here.

[0177] The farm waste gas treatment device provided in the embodiments of the present application can be applied to farm waste gas treatment equipment, such as terminals: mobile phones, computers, etc. Optionally, Figure 8 shows a hardware structure block diagram of the farm waste gas treatment equipment. Refer to Figure 8, the hardware structure of the farm waste gas treatment equipment 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. 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 aforementioned terminal farm waste gas treatment solution.

[0178] The embodiments of the present application also provide a readable storage medium, and the storage medium can store a program suitable for the processor to execute, and the program is used to: implement each processing process in the aforementioned terminal farm waste gas treatment solution.

[0179] 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 actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is 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 further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or device including the element.

[0180] The various embodiments in this specification are described in a progressive manner, and the key points of each embodiment are the differences from other embodiments. The same and similar parts between the various embodiments can be referred to each other.

[0181] 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 obvious 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 the embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for treating waste gas from a breeding farm, characterized in that, Including: Determine the distributed environmental information perception network of the target farm according to the type of the target farm; Collect the environmental parameters of the target farm according to the distributed environmental information perception network of the target farm; Based on the environmental parameters of the target farm and the sewage discharge requirements of the target farm, establish and start the waste gas purification platform of the target farm; 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; 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, so as to treat the waste gas generated by the target farm.

2. The method according to claim 1, wherein The establishing and starting the waste 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 includes: Based on the environmental parameters of the target farm, determine the waste gas emission law of the target farm; Based on the waste gas emission law of the target farm, the sewage discharge requirements of the target farm, and the structural parameters of the target farm, determine the waste gas purification platform model of the target farm; Based on the waste gas purification platform model of the target farm, establish and start the waste gas purification platform of the target farm.

3. The method according to claim 2, characterized in that The determining the waste gas emission law of the target farm based on the environmental parameters of the target farm includes: Analyze the environmental parameters of the target farm to determine the waste gas components emitted by the target farm, the concentration parameters of pollutants, the temperature change situation of the target farm, and the cross-curtain wind speed of the target farm; Based on the waste gas components emitted by the target farm, the concentration parameters of pollutants, the temperature change situation of the target farm, and the cross-curtain wind speed of the target farm, establish a dynamic accumulation model of the target farm, where the dynamic accumulation model of the target farm uses the waste gas components and concentration parameters of pollutants, the temperature change situation of the training farm, and the cross-curtain wind speed of the training farm as training samples, and uses the waste gas emission law of the training farm as a sample label for training; Analyze the environmental parameters of the target farm through the dynamic accumulation model of the target farm to extract the spatio-temporal characteristic information of the waste gas emission of the target farm; Based on the spatio-temporal characteristic information of the waste gas emission of the target farm, determine the waste gas emission law of the target farm.

4. The method according to claim 2, wherein The determining the waste gas purification platform model of the target farm based on the waste gas emission law of the target farm, the sewage discharge requirements of the target farm, and the structural parameters of the target farm includes: Based on the sewage discharge requirements of the target farm, analyze the waste gas emission law of the target farm and the structural parameters of the target farm to determine the treatment strategy for purifying the waste gas of the target farm; Determine the airflow structure parameters, fluid structure parameters, and packing structure parameters of the exhaust gas purification platform model of the target farm based on the environmental parameters, structural parameters, and exhaust gas treatment strategy of the target farm. Determine the exhaust gas purification platform model of the target farm based on the airflow structure parameters, fluid structure parameters, and packing structure parameters of the exhaust gas purification platform model of the target farm.

5. The method according to claim 4, wherein Based on the exhaust gas purification platform model of the target farm, establish the exhaust gas purification platform of the target farm, including: Determine the installation position of the fan in the target farm and the flow field distribution structure of the airflow purified in the fan purification room 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. Determine the detergent flow configuration strategy of the exhaust gas purification platform of the target farm 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. Determine the materials for filling the exhaust gas purification platform of the target farm, as well as the structure and dimensions of the exhaust gas purification platform of the target farm, according to the packing structure parameters of the exhaust gas purification platform model of the target farm and the structural parameters of the target farm. Establish the exhaust gas purification platform of the target farm based on the materials for filling the exhaust gas purification platform of the target farm and the structure and dimensions of the exhaust gas purification platform of the target farm.

6. The method according to claim 5, characterized in that, The constructed exhaust gas purification platform of the target farm includes: a pressure chamber, a chemical decomposition chamber, a first biological filtration chamber, and a second biological filtration chamber. Among them, the pressure chamber is connected to the exhaust gas outlet of the target farm and the chemical decomposition chamber, and is responsible for uniformly mixing the exhaust gas pollutants of the target farm and reducing the wind speed of the exhaust gas discharged from the target farm so as to fully mix the exhaust gas discharged from the target farm and then discharge it to the chemical decomposition chamber. The chemical decomposition chamber is responsible for performing pickling spray treatment on the exhaust gas sent by the pressure chamber, and after absorbing the alkaline pollutants in the exhaust gas discharged from the target farm, discharging the exhaust gas that has undergone the first purification treatment to the first biological filtration chamber again. 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 performing secondary purification on the exhaust gas sent by the chemical decomposition chamber, decomposing the organic pollutants in the exhaust gas sent by the chemical decomposition chamber by the microorganisms in the biological solution for the first time and then discharging it to the second biological decomposition chamber; and then the second biological decomposition chamber decomposes the organic pollutants in the exhaust gas sent by the first biological decomposition chamber again and discharges the obtained gas to the outside.

7. The method according to claim 6, wherein The process of the chemical decomposition chamber performing pickling spray treatment on the exhaust gas sent by the pressure chamber includes: When the pressure chamber discharges the exhaust gas to be processed into the chemical decomposition chamber, the water spray valve is started, and the acid solution in the acid solution pool is sprayed into the filler of the exhaust gas purification platform of the target farm to remove ammonia in the exhaust gas discharged from the target farm. The pH value of the acid solution in the acid solution pool is monitored in real time, and when the pH value of the acid solution in the acid solution pool is higher than a preset first threshold, the water pump is started to 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 exhaust gas discharged from the target farm.

8. An exhaust gas treatment device for a farm, characterized in that, The device includes: A first determination unit for determining the distributed environment information perception network of the target farm according to the type of the target farm. An acquisition unit for acquiring the environmental parameters of the target farm according to the distributed environment information perception network of the target farm. A construction unit for establishing and starting the 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 for perceiving in real time the state parameters of the exhaust gas purification platform of the target farm and the real-time environmental parameters of the target farm. A purification unit for controlling the operation of the exhaust gas purification platform of the target farm by using a preset regulation mechanism based on the state parameters of the exhaust gas purification platform of the target farm and the real-time environmental parameters of the target farm to process the exhaust gas generated by the target farm.

9. An exhaust gas treatment device for a breeding farm, characterized in that, It 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 steps of the method for treating exhaust gas from a farm as described in any one of claims 1 to 7 are implemented.

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, the one or more processors are caused to implement the steps of the method for treating exhaust gas from a farm as described in any one of claims 1 to 7.

Images