Farm waste gas treatment methods and related equipment

Abstract

The present application provides a farm waste gas treatment method and related equipment. The present application can determine the distributed environmental information perception network of the target farm based on its type; collect the environmental parameters of the target farm based on the distributed environmental information perception network; establish and start the waste gas purification platform of the target farm based on the environmental parameters and sewage discharge requirements of the target farm; perceive the state parameters and real-time environmental parameters of the waste gas purification platform of the target farm in real time; and 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. The method can combine the centralized ventilation structural characteristics and waste gas emission characteristics of the farm, achieve efficient purification of the waste gas of the farm, and take into account the initial investment cost and operation and maintenance costs of the waste gas treatment of the farm, with the advantages of high efficiency purification and low energy consumption.

Description

Technical Field

[0001] The present application relates to the field of aquaculture management technology, and in particular to a method for treating waste gas from a farm and related equipment. Background Art

[0002] As the livestock and poultry farming industry continues to move toward scale and intensification, intensive farms, with their efficient use of vertical space, high land utilization rates, excellent biosafety, and high levels of intelligence, have gradually become a key method of intensive farming. However, while intensive farms offer excellent ventilation, they also cause odors to spread more widely and rapidly, leading to increasingly serious odor pollution. The harmful gases emitted by intensive farms not only negatively impact the surrounding environment and climate but also pose a serious threat to the health of humans and animals. Therefore, purifying and treating the waste gas generated by intensive farms is urgent.

[0003] The exhaust gas produced by intensive pig farms is complex in composition, with different pollutants exhibiting varying physical and chemical properties and relatively low concentrations. This has limited the development of exhaust gas purification technologies. Commonly used exhaust gas purification technologies for intensive pig farms include "source control," "process management," and "end-of-pipe purification." End-of-pipe purification is considered a key measure for addressing exhaust gas pollution because it is easier to integrate with mechanical control, offers advantages such as high purification efficiency, reliable operation, and ease of use. It also reduces the risk of airborne disease transmission between piggeries.

[0004] In practice, "end-of-pipe" waste gas purification technology for intensive livestock farms uses chemical or biological methods to treat exhaust gases at the farm's end. While biological methods have longer reaction times and are easier to maintain, they require a large footprint, have low purification efficiency, and can easily clog wastewater pipes with biomolecules. Chemical methods offer shorter reaction times, highly effective and controllable deodorization and ammonia removal, excellent stability, and a smaller footprint. However, chemical methods consume significant amounts of electricity and water, rely primarily on manual control, and are difficult to operate. Given the high stocking density and high ammonia concentrations within intensive livestock farms, the operational requirements for purification systems are quite demanding. Therefore, while ensuring proper ventilation within intensive livestock farms, ensuring the stability, efficiency, and energy efficiency of waste gas purification systems in these farms remains a key concern. Summary of the Invention

[0005] The present application aims to solve at least one of the above-mentioned technical defects. In view of this, the present application provides a farm waste gas treatment method and related equipment to solve the technical defects of the existing technology in the waste gas treatment of farms.

[0006] A method for treating waste gas from a farm, comprising: determining a distributed environmental information perception network of a target farm based on the type of the target farm; collecting environmental parameters of the target farm based on the distributed environmental information perception network of the target farm; establishing and starting a waste gas purification platform for the target farm based on the environmental parameters of the target farm and the sewage discharge requirements of the target farm; perceiving in real time the state parameters of the waste gas purification platform of the target farm and the real-time environmental parameters of the target farm; and controlling the operation of the waste gas purification platform of the target farm 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.

[0007] Preferably, the waste gas purification platform of the target farm is established and started based on the environmental parameters of the target farm and the sewage discharge requirements of the target farm, including: determining the waste gas emission pattern of the target farm based on the environmental parameters of the target farm; determining the waste gas purification platform model of the target farm based on the waste gas emission pattern of the target farm, the sewage discharge requirements of the target farm, and the structural parameters of the target farm; establishing and starting the waste gas purification platform of the target farm based on the waste gas purification platform model of the target farm.

[0008] Preferably, the waste gas emission pattern of the target farm is determined based on the environmental parameters of the target farm, including: analyzing 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 changes of the target farm, and the wind speed passing the curtain of the target farm; establishing a dynamic accumulation model of the target farm based on the waste gas components and pollutant concentration parameters emitted by the target farm, the temperature changes of the target farm, and the wind speed passing the curtain of the target farm, wherein the dynamic accumulation model of the target farm is trained using the waste gas components and pollutant concentration parameters of the training farm, the temperature changes of the training farm, and the wind speed passing the curtain of the training farm as training samples, and the waste gas emission pattern of the training farm as sample labels; analyzing the environmental parameters of the target farm through the dynamic accumulation model of the target farm to extract the spatiotemporal characteristic information of the waste gas emissions of the target farm; and determining the waste gas emission pattern of the target farm based on the spatiotemporal characteristic information of the waste gas emissions of the target farm.

[0009] Preferably, the waste gas purification platform model of the target farm is determined based on the waste gas emission pattern of the target farm, the sewage discharge demand of the target farm, and the structural parameters of the target farm, including: based on the sewage discharge demand of the target farm, analyzing the waste gas emission pattern of the target farm and the structural parameters of the target farm, and determining the treatment strategy for purifying the waste gas of the target farm; determining the airflow structure parameters, fluid structure parameters, and filler structure parameters of the waste gas purification platform model of the target farm based on the environmental parameters of the target farm, the structural parameters of the target farm and the waste gas treatment strategy of the target farm; determining the waste gas purification platform model of the target farm based on the airflow structure parameters, fluid structure parameters, and filler structure parameters of the waste gas purification platform model of the target farm.

[0010] Preferably, based on the exhaust gas purification platform model of the target breeding farm, the exhaust gas purification platform of the target breeding farm is established, including: determining the fan installation position of the target breeding farm and the flow field distribution structure of the airflow in the fan purification room according to the airflow structure parameters of the exhaust gas purification platform model of the target breeding farm and the structural parameters of the target breeding farm; determining the detergent flow configuration strategy of the exhaust gas purification platform of the target breeding farm according to the fluid structure parameters of the exhaust gas purification platform model of the target breeding farm and the structural parameters of the target breeding farm; determining the material for filling the exhaust gas purification platform of the target breeding farm and the structure and size of the exhaust gas purification platform of the target breeding farm according to the filler structure parameters of the exhaust gas purification platform model of the target breeding farm and the structural parameters of the target breeding farm; establishing the exhaust gas purification platform of the target breeding farm according to the material for filling the exhaust gas purification platform of the target breeding farm and the structure and size of the exhaust gas purification platform of the target breeding farm.

[0011] Preferably, the waste gas purification platform of the target farm constructed 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 waste gas outlet of the target farm and the chemical decomposition chamber, and is responsible for evenly 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 into the chemical decomposition chamber; the chemical decomposition chamber is responsible for acid washing and spraying the waste gas discharged from the pressure chamber, and after absorbing the alkaline pollutants in the waste gas discharged from the target farm, it will be subjected to the first purification The chemically treated waste gas is discharged to the first biological filter chamber again; the first biological filter chamber is connected to the chemical decomposition chamber and the second biological filter chamber; wherein, the first biological filter chamber and the second biological filter chamber both include biological solution; the first biological filter 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 discharge it to the second biological decomposition chamber; the second biological decomposition chamber then decomposes the organic pollutants in the waste gas discharged from the first biological decomposition chamber again, and discharges the obtained gas to the outside.

[0012] Preferably, the process of the chemical decomposition chamber performing acid washing and spraying treatment on the waste gas discharged from the pressure chamber includes: when the pressure chamber discharges the waste gas to be treated to the chemical decomposition chamber, starting the water spray valve to spray the acid solution in the acid solution pool into the filler of the waste gas purification platform of the target farm to remove ammonia in the waste gas discharged from the target farm; real-time monitoring of 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 a preset first threshold, starting the water pump and adding concentrated acid of 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 removes ammonia in the waste gas discharged from the target farm.

[0013] A farm waste gas treatment device, the device comprising: a first determination unit, for determining a distributed environmental information perception network of a target farm based on the type of the target farm; a collection unit, for collecting environmental parameters of the target farm based on the distributed environmental information perception network of the target farm; a construction unit, for establishing and starting 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, for real-time perception of state parameters of the waste 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 waste gas purification platform of the target farm 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.

[0014] A farm waste gas treatment device comprises: one or more processors, and a memory; the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the farm waste gas treatment method as described in any of the above introductions are implemented.

[0015] A readable storage medium stores computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors implement the steps of the farm waste gas treatment method as described in any of the above descriptions.

[0016] From the above introduction, it can be seen that when it is necessary to perform low-energy and high-efficiency purification treatment on the waste gas discharged from the target farm, this application can determine the distributed environmental information perception network of the target farm based on the type of the target farm; the waste gas discharged by different farms has different capacities, components and scales. In actual application, there are many factors that affect the generation of waste gas from farms. By determining the distributed environmental information perception network of the target farm, the environmental parameters of the target farm can be better collected based on the distributed environmental information perception network of the target farm; so that the waste 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 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 can better build a waste gas purification platform that is more in line with the sewage discharge requirements of the target farm. After the waste gas purification platform of the target farm is built, the waste gas purification platform of the target farm can be started. During the operation of the waste gas purification platform of the target farm, the state parameters of the waste gas purification platform of the target farm and the real-time environmental parameters of the target farm can be perceived in real time; so that 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, a preset control mechanism can be used to control the operation of the waste gas purification platform of the target farm to treat the waste gas generated by the target farm. According to the operating status of the waste gas purification platform of the target farm and the real-time environmental parameters of the target farm, the operation of the waste gas purification platform of the target farm can be better controlled, and the waste gas can be effectively purified intelligently and effectively according to the environment of the target farm to avoid wasting resources. While improving the waste gas purification efficiency of the farm, the cost of waste gas purification can also be reduced.

[0017] From the above introduction, it can be seen that this application can combine the structural characteristics and waste gas emission characteristics of the centralized ventilation type of the farm, and on the basis of achieving efficient purification of the waste gas of the farm, take into account the initial investment cost and operation and maintenance costs of the waste gas treatment of the farm. It has the advantages of high efficiency purification and low energy consumption, and is of great significance to the optimal design of the livestock and poultry breeding waste gas purification spray system and the selection of supporting equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 A flow chart of a method for treating waste gas from livestock farms provided in this application;

[0020] Figure 2 A flow chart of an adaptive decision-making mechanism for farm waste gas treatment provided in this application;

[0021] Figure 3 This is a schematic diagram of the pig house exhaust gas purification control system architecture provided in this application;

[0022] Figure 4 A schematic diagram of the research framework of a pig house exhaust gas purification system provided in this application;

[0023] Figure 5 A schematic diagram of the structure of a pig house exhaust gas purification test platform provided in this application;

[0024] Figure 6 A schematic diagram of the structure of an intelligent pig house exhaust gas purification system provided in this application;

[0025] Figure 7 This is a schematic diagram of the structure of a waste gas treatment device for a farm as an example of this application;

[0026] Figure 8 This is a hardware structure block diagram of a farm waste gas treatment device disclosed in this application. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0028] In practice, aquaculture waste gas has a complex composition, comprising over 230 different components. These emissions not only pollute the air, soil, and water, but also severely impact the quality of life of surrounding residents. Among various waste gas purification measures, "end-of-pipe purification" is considered the primary method for treating waste gas emissions, compared to "source reduction" and "process control," as it is easier to integrate with mechanical control, offers advantages such as high purification efficiency, reliable operation, and ease of use. It also reduces the risk of airborne disease transmission between farms.

[0029] Currently, intensive piggeries, targeting the "end-of-pipe purification" approach, often use fillers such as shade nets, paper water curtains, and polypropylene hollow balls. Exhaust gas treatment is performed through spraying and washing. This approach lacks dynamic sensing of air resistance, fan pressure drop, and exhaust gas composition within the farm, resulting in extensive control. Research has revealed that after operating this method for a period of time, fillers such as shade nets and paper water curtains tend to clog, affecting farm ventilation. The lack of a water recycling system allows atomized water vapor to drift outside the house during ventilation, resulting in significant water waste. Furthermore, this exhaust gas treatment method requires manual replacement of fillers, which compromises biosafety.

[0030] In view of the fact that most of the current waste gas treatment solutions for farms are difficult to adapt to the complex and changing business needs, the applicant has studied a waste gas treatment solution for farms, which can effectively carry out intelligent and effective waste gas purification 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 be combined with the centralized ventilation structural characteristics and waste gas emission characteristics of the farm, on the basis of achieving efficient purification of the waste gas of the farm, while taking into account the initial investment cost and operation and maintenance costs of the waste gas treatment of the farm. It has the advantages of high efficiency purification and low energy consumption, which is of great significance to the optimal design of the waste gas purification spray system for livestock and poultry farming and the selection of supporting equipment.

[0031] This application can be used in a wide variety of general-purpose or specialized computing device environments or configurations. For example, personal computers, server computers, handheld or portable devices, tablet devices, multi-processor devices, and distributed computing environments that include any of the above. The present application provides a farm waste gas purification solution that can be applied to various waste gas treatment systems and various computer terminals or smart terminals. The execution entity can be the processor or server of the computer terminal or smart terminal.

[0032] The following combination Figure 1 , introduces the process of the fattening pig breeding intelligent management system given in the embodiment of this application, such as Figure 1 As shown, the process can include the following steps:

[0033] Step S101: determining a distributed environmental information perception network of a target farm based on the type of the target farm.

[0034] Specifically, in the actual application process, the current livestock and poultry farming industry is constantly developing in the direction of scale and intensification. In order to improve land utilization, many farms choose to carry out intensive farming.

[0035] For example, in pig farming, some farms use multi-story piggeries. In practice, biological methods have long reaction times and are easy to maintain, but they occupy a large area, have low purification efficiency, and can easily clog pipes with biomolecules and proteins. Chemical methods have a shorter reaction time, offer efficient and controllable deodorization and ammonia removal, are more stable, and require less space. However, they consume significant amounts of electricity and water, and rely primarily on manual control. Furthermore, multi-story piggeries have high stocking densities and high ammonia concentrations within them, placing high demands on the purification system. Therefore, while ensuring proper ventilation in multi-story piggeries, the stability, efficiency, and energy consumption of the exhaust gas purification system must be considered.

[0036] Therefore, in order to build a more efficient and low-energy end-of-pipe exhaust gas purification solution for farms, a comprehensive understanding of the farm environment is required. Different types of farms have different environments. Therefore, in order to better understand the environmental information of the target farm, a distributed environmental information perception network for the target farm can be determined based on the type of the target farm. For example, in actual applications, large-scale farms have a large number of live pigs, large pig houses with large areas and large numbers, and the amount of exhaust gas generated is large and the composition is complex. A large number of sensors need to be arranged at multiple key locations to fully perceive the exhaust gas concentration, temperature, humidity and other information discharged by the farm, so as to achieve accurate monitoring and control of the exhaust gas conditions in the entire breeding area. Small farms, on the other hand, are smaller in scale and generate relatively less exhaust gas, so the layout of the perception network can be relatively simplified. Only sensors need to be set up in key locations to meet the basic monitoring needs of the farm exhaust gas purification system.

[0037] Furthermore, in intensive farming models, farms have high livestock densities, generating more waste gas per unit area and requiring stricter environmental control. In this case, densely deployed sensors are needed to monitor environmental parameters within the farm in real time, enabling timely adjustment of the operating parameters of waste gas purification equipment. In contrast, in ecological farming models, farms have ample room for livestock to move around, and waste gas emissions are relatively dispersed. The layout of the sensing network should consider factors such as the farm's topography and vegetation distribution, with a focus on monitoring areas surrounding the farm and waste gas outlets to ensure that waste gas emissions meet environmental requirements while protecting the ecological environment. For example, different livestock breeds vary in their physiological characteristics, growth rates, and feed conversion rates, resulting in varying adaptability to the environment and waste gas production. For example, in pig farms, some lean pigs grow quickly and have a high metabolism, potentially producing waste gas with high levels of harmful gases such as ammonia and hydrogen sulfide. This requires more precise environmental information sensing to optimize the waste gas purification system. However, local breeds of pigs may have strong adaptability to the local environment and different characteristics of waste gas generation. The setting of the environmental information perception network should be adjusted according to their specific circumstances to achieve efficient waste gas treatment.

[0038] For example, breeding pig farms have more stringent environmental requirements. To ensure the health and reproductive performance of breeding pigs, precise control of environmental parameters such as temperature, humidity, and air quality is required. Therefore, a distributed environmental information perception network must be more dense and precise, monitoring not only exhaust gas indicators but also other environmental factors related to breeding. In contrast, commercial pig farms focus more on growth rate and breeding efficiency. Their environmental information perception focuses on meeting the basic growth needs of pigs and complying with environmental emission standards, and the perception network configuration will be different.

[0039] In actual application, after determining the distributed environmental information perception network of the target farm, different types of sensors can be deployed at each node based on the distributed environmental 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 at the target farm:

[0040] Temperature and humidity sensors can be deployed to monitor the temperature and humidity within the target farm. In practice, excessively high or low temperatures can affect the growth, feed conversion rate, and immunity of farmed animals, while inappropriate humidity can lead to disease infection and stress reactions. For example, a DHT11 digital temperature and humidity sensor can be deployed to convert detected temperature and humidity data into digital signals that can be easily read and processed by a microcontroller.

[0041] Air quality sensors can be deployed to monitor the concentrations of harmful gases such as ammonia, hydrogen sulfide, and carbon dioxide within target farms. Excessive concentrations of these gases can irritate the respiratory tracts of farmed animals, reduce their resistance, and cause respiratory illnesses. They can also affect the work environment and health of farm workers. For example, the MQ-135 gas sensor can be deployed, which has high sensitivity to harmful gases such as ammonia and hydrogen sulfide and can quickly and accurately detect changes in gas concentrations.

[0042] Light sensors can be deployed to monitor light intensity and duration within the target farm. Appropriate lighting significantly impacts the growth, reproduction, and behavior of farmed animals. For example, appropriate lighting can promote estrus in sows and improve the immunity and growth rate of piglets. For example, the BH1750FVI digital light sensor can be deployed. It offers high precision and low power consumption, accurately measuring ambient light intensity and transmitting this data to the control system.

[0043] Liquid level sensors can be deployed to monitor the water intake and urination of farmed animals. Water level sensors can also be deployed to monitor the water level of farmed animals, ensuring they always have sufficient clean drinking water. Water shortages can affect their feeding, digestion, and growth, and in severe cases, can be life-threatening. For example, a hydrostatic water level sensor can be deployed. This commonly used sensor calculates the water level by measuring water pressure, offering high accuracy and stability.

[0044] Feed weight sensors can be deployed to monitor feed levels in real time, allowing for timely replenishment and ensuring a stable feed supply for animals, preventing feed shortages from impacting their growth and development. Furthermore, assessing an animal's diet can be used to assess its excretion. For example, a common feed weight sensor can be deployed, using a strain gauge load cell. This sensor measures weight based on the principle that a strain gauge deforms under force, resulting in a change in resistance. It offers high accuracy and reliability.

[0045] Video surveillance sensors can be deployed to monitor the behavior and health of farm animals in real time, as well as the overall condition of the target farm. This allows for timely detection of abnormal behavior, such as illness or aggression, and helps managers better understand the operations of the target farm. For example, network HD cameras, a common video surveillance device in farms, can be deployed. They enable remote, real-time monitoring, include night vision and motion detection, and can transmit surveillance footage to devices such as mobile phones and computers.

[0046] pH sensors can also be deployed to measure the pH of various liquids within the target farm. Based on the Nernst equation, pH sensors typically consist of a sensitive membrane that selectively responds to hydrogen ions and a reference electrode. When the sensitive membrane comes into contact with the solution being measured, hydrogen ions in the solution exchange with the hydration layer on the membrane's surface, creating a potential difference across the membrane. This potential difference is related to the activity of hydrogen ions in the solution. Using the Nernst equation, this potential difference is converted to a corresponding pH value, enabling measurement of the solution's pH. For example, pH monitoring can be used in drinking water, wastewater, and pig urine. For example, monitoring the pH of drinking water is crucial in pig farming, as maintaining an appropriate pH range (typically 6.5-8.5) helps ensure water quality and pig health. Excessively acidic or alkaline water can affect the pig's digestive system, weakening its immune system and making it more susceptible to disease. Furthermore, monitoring the pH of pig urine can provide a glimpse into the pig's health, as certain diseases can cause abnormal urine pH. Common glass electrode pH sensors offer advantages such as high measurement accuracy and good stability, and are widely used to measure the pH value of various liquids. Antimony electrode pH sensors are also suitable for pH measurement in special environments, such as those with high temperatures and high salt concentrations.

[0047] EC sensors (EC, short for electrical conductivity) can also be deployed. EC sensors are primarily used to measure the conductivity of solutions, which reflects the electrolyte content in the solution. EC sensors use electrodes to measure the current in the solution. When current flows through the solution, ions in the solution carry their charge and move, generating conductivity. EC sensors measure the resistance between two electrodes and convert this resistance to conductivity based on factors such as the solution temperature and the electrode constant. To improve measurement accuracy, some EC sensors use a four-electrode structure to eliminate the effects of electrode polarization and solution resistance. For example, in pig farms, EC sensors can be used to monitor the conductivity of drinking water, feed solutions, and wastewater. By monitoring the conductivity of drinking water, we can determine the content of dissolved minerals, salts, and other electrolytes in the water, and assess its purity and quality. High conductivity may indicate excessive impurities or salts, making it unsuitable for pigs. Low conductivity may indicate a lack of essential minerals. For feed solutions, monitoring conductivity can help determine feed dissolution and nutrient content. In wastewater treatment, conductivity serves as a key indicator, reflecting the pollutant content and treatment effectiveness. Commonly used are inductive EC sensors, which employ a non-contact measurement method. Using an inductive coil to generate an alternating magnetic field, this induces a current in the solution, thereby measuring the conductivity of the solution. These sensors offer advantages such as pollution and corrosion resistance, making them suitable for conductivity measurements in a variety of complex environments. Alternatively, electrode-type EC sensors, which measure by directly inserting electrodes into the solution, offer high accuracy and fast response times, making them widely used for conductivity measurement in laboratories and industrial production.

[0048] Step S102: collecting environmental parameters of the target farm based on the distributed environmental information perception network of the target farm.

[0049] Specifically, in actual application, the waste gas purification process of pig farms faces some pain points that need to be solved. For example, pig farms need to ensure the breeding environment in the house while scientifically deodorizing and removing waste gas. However, in actual application, it mainly relies on manual control, which is not efficient and consumes a lot of electricity, water resources, deodorants, etc.

[0050] Therefore, in order to build a more scientific, energy-saving and efficient farm waste gas treatment plan, it is necessary to fully and accurately understand the actual situation of the farm. Therefore, after determining the distributed environmental information perception network of the target farm, we can consider collecting the environmental parameters of the target farm based on the distributed environmental information perception network of the target farm, so that we can refer to the environment of the target farm to construct a waste gas purification treatment plan that better matches the target farm.

[0051] Among them, the environmental parameters of the target farm may include temperature, relative humidity, ammonia concentration, carbon dioxide concentration, hydrogen sulfide concentration, formaldehyde concentration, and inhalable particulate matter (PM2.5 / PM10).

[0052] Through the sensors in the distributed environmental information perception network, the concentration and composition of waste gases, such as ammonia, hydrogen sulfide, carbon dioxide, and volatile organic compounds, can be monitored in real time within target farms and at exhaust outlets. The concentration and composition of waste gases vary with different breeding stages, seasons, and feeding management methods. For example, in pig farms, ammonia concentrations can rise significantly in winter when piggeries are poorly ventilated. Accurately understanding this data helps determine the treatment capacity of waste gas purification equipment and tailor the purification process.

[0053] Furthermore, the distributed environmental information perception network can continuously collect data over a long period of time, thereby analyzing the patterns of waste gas emissions from farms. For example, waste gas emissions may increase during certain time periods each day after pigs eat and move around. Understanding these emission patterns can rationally schedule the operating hours of waste gas purification equipment, improve its operating efficiency, and reduce energy consumption and operating costs. Based on the collected environmental parameters of the target farm, such as temperature and humidity, the waste gas purification equipment can be regulated in real time. For example, certain purification equipment performs better under suitable temperature and humidity conditions. By using the information fed back by the distributed environmental information perception network of the target farm, the operating parameters of the target farm's waste gas treatment equipment can be adjusted in a timely manner to ensure that it operates under optimal conditions and improve waste gas purification efficiency.

[0054] Furthermore, continuous monitoring of environmental parameters helps promptly detect potential malfunctions in the exhaust gas purification system. If exhaust gas concentrations in a particular area rise abnormally or equipment operating parameters deviate from normal ranges, the distributed environmental information perception network can quickly issue an alarm, prompting staff to promptly troubleshoot the problem. This can prevent equipment failures from causing substandard exhaust emissions and potentially harming the environment and pig health.

[0055] In practice, environmental protection authorities have strict standards and requirements for waste gas emissions from farms. Environmental parameters collected through a distributed environmental information perception network at target farms can ensure that waste gas purification solutions comply with relevant regulations and standards, ensuring that waste gas emissions meet standards and avoiding penalties and environmental disputes caused by non-compliant emissions. Furthermore, environmental parameters within target farms have a significant impact on the growth, development, and health of the animals. Collecting these environmental parameters not only optimizes waste gas purification solutions but also improves air quality at the target farms, providing a favorable living environment for the animals, reducing the incidence of respiratory diseases, and improving farming efficiency.

[0056] As farms grow and their scale and methods change, waste gas emissions will also change accordingly. Using a distributed environmental information sensing network for target farms, collecting environmental parameters from these farms provides data support for adjusting and optimizing waste gas purification solutions. For example, when a farm increases its number of animals, the collected information on increased waste gas concentrations can be used to promptly add purification equipment or adjust purification processes to ensure effective purification.

[0057] Long-term accumulation of environmental parameter data helps farms make long-term plans and decisions. Based on the distributed environmental information perception network of the target farm, the environmental parameters of the target farm can be collected and analyzed through historical data to understand the trends and changes in the farm's waste gas emissions. This provides a scientific basis for future upgrades to breeding facilities, improvements to waste gas treatment technologies, and adjustments to site layouts, thereby achieving sustainable development of the farm. In actual application, based on the environmental parameters of the target farm and the sewage discharge requirements of the target farm, the process of establishing and launching the waste gas purification platform for the target farm can include the following steps:

[0058] Step S1021: Determine the waste gas emission pattern of the target farm based on the environmental parameters of the target farm.

[0059] Specifically, when establishing a waste gas purification platform for a farm, the environmental parameters of the target farm can provide feedback on the farm's waste gas emission patterns. Understanding these patterns is crucial for building the waste gas purification platform. By analyzing waste gas concentration, flow rate, and other environmental parameters within the target farm, we can determine the amount of waste gas generated by the farm at different time periods. For example, high stocking density and poor ventilation may increase waste gas generation. Based on this data, the treatment capacity of the waste gas purification platform can be rationally designed to ensure sufficient treatment capacity to handle peak waste gas emissions and avoid substandard waste gas treatment due to insufficient treatment capacity. Different waste gas emission patterns require different treatment processes. For example, if the emission pattern indicates high concentrations of odorous gases such as ammonia and hydrogen sulfide in the waste gas, and the emissions are relatively stable, more targeted treatment processes such as biological filtration and chemical scrubbing may be selected. However, if the waste gas contains high levels of volatile organic compounds and the emissions fluctuate significantly, processes such as activated carbon adsorption and catalytic combustion may be necessary. Selecting the appropriate treatment process based on the waste gas emission pattern can improve treatment efficiency and reduce treatment costs. After understanding the waste gas emission patterns of the farm, the operating parameters of the farm's waste gas purification platform can be optimized according to the waste gas characteristics at different time periods. For example, during periods when the waste gas emission concentration of the farm is high, the dosage of treatment agents can be increased, the reaction temperature can be raised, or the treatment time can be extended; when the emission concentration is low, the operating parameters can be appropriately lowered to save energy and agent consumption and achieve precise treatment. The waste gas emission patterns of the farm will also affect the operating load and degree of wear of the equipment. Based on the emission patterns, the maintenance time of the equipment can be reasonably arranged. For example, if the equipment is inspected and maintained during the low-emission period, it 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.

[0060] Environmental protection departments have strict standards and regulatory requirements for waste gas emissions from farms. By understanding the waste gas emission patterns of farms and designing and operating waste gas purification platforms in a targeted manner, it is possible to ensure that farms meet environmental emission standards at all times and avoid penalties for substandard emissions. Clarifying the waste gas emission patterns of farms and recording relevant environmental parameters can provide accurate data support for environmental supervision. This data can be used to prove the effectiveness of the farm's waste gas control measures and also help environmental protection departments accurately assess and regulate regional environmental quality. Therefore, in order to better construct waste gas purification measures that meet the needs of the target farm, the waste gas emission patterns of the target farm can be determined based on the environmental parameters of the target farm. This allows the waste gas purification platform model that meets the needs of the target farm to be determined based on the waste gas emission patterns of the target farm.

[0061] Step S1022: Determine the waste gas purification platform model of the target farm based on the waste gas emission pattern of the target farm, the sewage discharge demand of the target farm, and the structural parameters of the target farm.

[0062] Specifically, the waste gas emission patterns of the target farms reflect the amount of waste gas generated, concentration changes, and emission time characteristics. Based on this information, the required treatment capacity of the waste gas purification platform can be determined in combination with the pollutant emission standards specified in the sewage discharge requirements.

[0063] For example, if the target farm has a large amount of waste gas emissions and a high pollutant concentration, and the sewage discharge requirements require strict emission standards, it is necessary to design a waste gas purification platform model with strong processing capacity and high purification efficiency to ensure that the waste gas can be effectively treated and meet environmental protection requirements.

[0064] In practice, different waste gas emission patterns and discharge requirements are suitable for different treatment processes. For example, for waste gas containing high concentrations of malodorous gases such as ammonia and hydrogen sulfide, and with stable emissions, biological deodorization may be more suitable; while for waste gas containing multiple volatile organic compounds with large concentration fluctuations, a combined process such as adsorption-catalytic combustion may be required. Furthermore, the specific pollutant indicators in the discharge requirements will also influence the choice of treatment process.

[0065] Secondly, factors such as the farm's building layout and regional distribution will also affect the farm's exhaust gas purification plan. In actual application, the farm's structural parameters include building layout, breeding area distribution, ventilation system settings, etc. These factors will affect the collection and transportation methods of exhaust gas, as well as the installation location and space requirements of the exhaust gas purification platform. For example, if the farm is a multi-story building, it is necessary to consider how to efficiently collect exhaust gas from each floor and transport it to the purification platform; if the farm has limited space, it is necessary to select an exhaust gas purification platform model with a small footprint and compact layout to ensure that it can be reasonably installed within the farm and does not affect normal breeding production activities.

[0066] For example, the structure of a farm affects the flow characteristics of internal airflow, and airflow organization is crucial to the collection and treatment of exhaust gases. Based on the farm's structural parameters, a rational airflow organization scheme can be designed to ensure smooth entry of exhaust gases into the purification platform and sufficient contact with the treatment medium during the treatment process, thereby improving treatment efficiency. For example, by adjusting the position and size of vents and installing guide plates, the flow path of exhaust gases within the farm can be optimized to better meet the operational requirements of the exhaust gas purification platform.

[0067] Therefore, when determining the waste gas emission regularity value of the target farm, the waste gas purification platform model of the target farm can be determined based on the waste gas emission regularity of the target farm, the pollution discharge demand of the target farm, and the structural parameters of the target farm. By comprehensively considering the waste gas emission regularity and pollution discharge demand of the target farm, the waste gas treatment process that is most suitable for the target farm can be selected, and then the waste gas purification platform model corresponding to the target farm can be determined.

[0068] By comprehensively considering the waste gas emission patterns, sewage discharge requirements and farm structural parameters of the target farm, the most economical waste gas purification platform model can be selected while meeting the waste gas treatment requirements.

[0069] For example, if a target farm's waste gas emissions exhibit a certain periodicity, a purification platform can be selected that can flexibly adjust its operating mode based on the emission cycle. This allows it to reduce operating power when emissions are low, saving energy and operating costs. Furthermore, rationally planning the waste gas collection and transportation system based on the farm's structure can reduce pipeline length and equipment investment costs.

[0070] Determining the exhaust gas purification platform model based on the actual conditions of the target farm can help improve the convenience of operation and management. For example, based on the farm's staffing and management level, a simple-to-use, highly automated purification platform can be selected to facilitate daily operation and maintenance. Based on the farm's location and climatic conditions, equipment and processes suitable for the local environment can be selected to reduce equipment failures and operational instability caused by environmental factors, ensuring the long-term stable operation of the exhaust gas purification platform.

[0071] Step S1023: Based on the waste gas purification platform model of the target farm, establish and start the waste gas purification platform of the target farm.

[0072] Specifically, in practical application, the waste gas purification platform model provides comprehensive guidance and basis for the construction and operation of the actual platform. The waste gas purification platform model for the target farm is constructed based on in-depth research on the waste gas emission patterns of the target farm. It clarifies key design parameters such as the treatment capacity and treatment efficiency required for the waste gas purification platform of the target farm. For example, the waste gas purification platform model for the target farm will determine the scale and treatment process of the waste gas purification equipment of the target farm based on the type, concentration, and emission flow of pollutants in the waste gas of the target farm, such as selecting an appropriate activated carbon adsorption device or biofilter, to ensure that the waste gas purification platform of the target farm can effectively treat the waste gas generated by the target farm. The waste gas purification platform model for the target farm can also determine the design requirements of the waste gas collection system of the target farm, including the shape, size, and location of the gas collection hood, as well as the layout and diameter of the ventilation duct, to ensure that the waste gas can be efficiently collected from the breeding area and transported to the waste gas purification platform of the target farm for treatment.

[0073] According to 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.

[0074] In actual application, different treatment processes and equipment are suitable for different exhaust gas characteristics. The exhaust 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 exhaust gas purification platform model of the target farm shows that the exhaust gas contains a large amount of volatile organic compounds, catalytic combustion equipment may be selected for treatment. At the same time, the exhaust gas purification platform model of the target farm will also guide the reasonable layout of the exhaust gas purification equipment of the target farm within the target farm. Taking into account factors such as the spatial structure of the target farm, the direction of airflow, and the convenience of operation and maintenance, the exhaust gas purification platform model of the target farm will plan the optimal installation location of each device, so that the exhaust gas purification system of the entire target farm is compact and efficient, and does not affect the normal production activities of the target farm.

[0075] The target farm's waste gas purification platform model can simulate its operation under different operating conditions, thereby formulating corresponding operation and control strategies. For example, based on the cyclical or seasonal changes in the target farm's waste gas emissions, the target farm's waste gas purification platform model can provide equipment operating parameter adjustment plans for different time periods. For example, the model can increase the operating power of the treatment equipment during peak waste gas emission periods and appropriately reduce energy consumption during low emission periods to achieve energy-saving operation.

[0076] The target farm's waste gas purification platform model also provides a basis for the design of an automated control system, enabling real-time monitoring and automatic control of the target farm's waste gas purification platform. Sensors monitor waste gas emission parameters and the operating status of the purification equipment in real time. Based on the control logic preset in the target farm's waste gas purification platform model, the equipment's operating parameters are automatically adjusted to ensure that the target farm's waste gas purification platform is always in optimal operating condition, guaranteeing the stability and reliability of the target farm's waste gas treatment results.

[0077] Before establishing and launching a target farm's waste gas purification platform, the target farm's waste gas purification platform model can be used to evaluate and optimize its performance. By simulating different operating conditions and parameter settings, the target farm's waste gas purification platform's treatment effectiveness, energy consumption, equipment lifespan, and other indicators can be predicted. This allows for early identification of potential problems and optimization of the target farm's waste gas purification platform model.

[0078] For example, if the exhaust gas purification platform model for a target farm predicts that exhaust gas treatment may not meet standards in certain situations, timely adjustments can be made to the treatment process or equipment parameters. If energy consumption is found to be excessively high, operational strategies or equipment selection can be optimized to reduce energy consumption. This allows the exhaust gas purification platform for a target farm to be continuously refined before actual construction and operation, enhancing its performance and economic efficiency.

[0079] Therefore, after determining the waste gas purification platform model of the target farm based on the waste gas emission patterns of the target farm, the pollution discharge requirements of the target farm, and the structural parameters of the target farm, the waste gas purification platform of the target farm is further established and started based on the waste gas purification platform model of the target farm to purify the waste gas discharged from the target farm.

[0080] Step S103: establishing and starting a waste gas purification platform for the target farm based on the environmental parameters of the target farm and the sewage discharge requirements of the target farm.

[0081] Specifically, from the above introduction, it can be seen that the present application can continuously collect environmental information of the target farm through a distributed environmental information perception network. By analyzing the environmental information of the target farm, the environmental conditions of the target farm can be understood, and the types, concentrations and emission patterns of pollutants in the farm's exhaust gas can be clarified, such as ammonia, hydrogen sulfide, volatile organic compounds, etc.

[0082] In practice, different farms have varying environmental parameters and wastewater treatment requirements due to factors such as breeding type, scale, process, and geographic location. For example, the composition and concentration of waste gas produced by pig farms and chicken farms differ, and large farms emit greater wastewater than small farms. The waste gas purification platform, developed based on these differences, can meet the individual needs of each farm and ensure that the purification effect meets actual requirements.

[0083] For example, after determining the types, concentrations, and emission patterns of pollutants in farm waste gas, such as ammonia, hydrogen sulfide, and volatile organic compounds, and combining them with the pollution discharge needs of the target farm, the specific purification targets and treatment scale can be determined, so that the waste gas purification platform can effectively treat these specific pollutants, achieve precise governance, improve purification efficiency, and reduce pollution to the environment.

[0084] Furthermore, once 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 technology and equipment for the target farm can be selected. For example, for the treatment of high-concentration ammonia, 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 the blind selection of technology and equipment, achieve the rational use of resources, and reduce construction and operating costs. Furthermore, 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 recovery system can be rationally designed to convert the heat energy in the waste gas into other uses, such as heating or hot water supply for the farm, thereby improving energy utilization efficiency and reducing energy waste.

[0085] Furthermore, with increasingly stringent environmental regulations, relevant departments require farms to comply with relevant waste gas emission standards. By establishing a waste gas purification platform based on environmental parameters and pollution discharge requirements, we can ensure that farms' waste gas emissions meet standards, avoid penalties or closures due to environmental issues, and ensure the sustainable operation of farms. Good environmental management helps enhance the social image of farms and strengthen consumer trust in their products.

[0086] Therefore, after determining the environmental parameters of the target farm, we can establish and start the waste gas purification platform of the target farm based on the environmental parameters of the target farm and the pollution discharge needs of the target farm. We can establish an efficient waste gas purification platform so that we can better treat the waste gas discharged by the target farm and reduce the impact of the waste gas on the surrounding environment and residents. This reflects the farm's emphasis on environmental protection, is beneficial to the long-term development of the enterprise, and achieves a win-win situation of economic and environmental benefits.

[0087] Step S104 , sensing the state parameters of the waste gas purification platform of the target farm and the real-time environmental parameters of the target farm in real time.

[0088] Specifically, after establishing the waste gas purification platform of the target farm, the waste gas purification platform of the target farm can be started to treat the waste gas discharged from the target farm. In order to ensure the waste gas treatment effect of the target farm, ensure the normal operation of the equipment, and achieve a dynamic balance between the environment and production, after starting the waste gas purification platform of the target farm, it is also necessary to perceive the state parameters of the waste gas purification platform of the target farm and the real-time environmental parameters of the target farm in real time. In order to timely understand the waste gas emission situation, compare it with the emission standards, and determine 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, the treatment process or equipment parameters can be adjusted in time to ensure that the waste gas is always discharged in compliance with the standards, avoiding environmental pollution and related penalties.

[0089] By monitoring the exhaust gas purification platform's status parameters at the target farm, such as reaction temperature, catalyst activity, and equipment operating power, combined with real-time environmental parameters such as changes in exhaust gas composition and concentration, the efficiency of the current treatment process can be analyzed. Based on this information, the treatment process can be optimized, such as by adjusting the dosage of reagents or changing the reaction time, to improve exhaust gas purification effectiveness and reduce residual pollutants. Furthermore, real-time monitoring of the exhaust gas purification platform's status parameters allows management to promptly understand the equipment's operating status. For example, by monitoring equipment parameters such as pressure, vibration, and temperature, problems such as blockage, wear, and overheating can be detected in advance. Once an anomaly is detected, prompt maintenance measures can be taken to prevent equipment failure from interrupting exhaust gas treatment or reducing effectiveness. Equipment operating modes and maintenance plans can be appropriately adjusted based on the equipment's operating status parameters. For example, avoiding equipment operation under overload or abnormal operating conditions and performing timely maintenance and repairs can reduce equipment wear, extend its service life, and reduce replacement and repair costs.

[0090] During actual application, the production activities of the target farm may change, such as adjustments to the scale of farming, changes to the species being farmed, or changes to the feed formula. These changes can lead to changes in the amount and composition of waste gas generated. Real-time sensing of environmental parameters allows for timely understanding of these changes, allowing the exhaust gas purification platform's operating parameters to be adjusted accordingly, ensuring that it consistently adapts to the farm's production changes and ensuring that the exhaust gas treatment effect is not affected by production adjustments. Changes in external environmental conditions such as temperature, humidity, and air pressure can also have a certain impact on the exhaust gas treatment effect. Furthermore, the surrounding environment's requirements for farm exhaust gas emissions may also change with adjustments to environmental protection policies. Real-time monitoring of environmental parameters helps farms respond to these external changes promptly and make necessary adjustments to the exhaust gas purification platform to meet environmental requirements and achieve the coordinated development of the environment and production.

[0091] 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, a preset control mechanism is used to control the operation of the waste gas purification platform of the target farm to treat the waste gas generated by the target farm.

[0092] Specifically, when starting the waste gas purification platform to treat the waste gas from the farm, in order to ensure the treatment effect of the waste gas and meet the emission standards and maintain 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 perceive the state parameters of the waste gas purification platform and the real-time environmental parameters of the target farm in real time, 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.

[0093] A pre-set control mechanism automatically adjusts the purification platform's operating parameters based on real-time environmental parameters, such as the concentration, type, and flow rate of pollutants in the exhaust gas, as well as the platform's operating parameters, such as equipment operating temperature, pressure, and catalyst activity. When pollutant concentrations in the exhaust gas rise, the control mechanism can increase the amount of treatment agent, raise the reaction temperature, or extend the treatment time to maintain stable treatment efficiency and ensure that the treated exhaust gas meets emission standards.

[0094] In practice, farm production activities and environmental conditions are constantly changing, leading to changes in the amount and composition of waste gas. For example, expanding farm scale can increase waste gas emissions, while seasonal changes can affect the concentration of certain components in waste gas. By sensing environmental parameters in real time and utilizing pre-set control mechanisms, the waste gas purification platform can quickly adapt to these changes, preventing degradation of treatment effectiveness due to fluctuations in environmental parameters.

[0095] The control mechanism rationally regulates the equipment based on the exhaust gas purification platform's status parameters. For example, if the equipment's operating temperature is too high, the control mechanism activates the cooling system to prevent damage from overheating, extending the equipment's service life and ensuring stable performance. By monitoring equipment parameters such as pressure and vibration in real time, the control mechanism can promptly identify potential equipment anomalies. Once an anomaly is detected, the control mechanism can take appropriate measures, such as reducing the equipment's operating load and issuing an alarm, to prevent equipment failure and reduce downtime and economic losses caused by equipment maintenance.

[0096] A preset control mechanism based on real-time parameters enables precise resource allocation. Based on the actual exhaust gas conditions, the consumption of treatment agents, energy, and other resources can be precisely controlled to avoid resource waste. For example, when the exhaust gas pollutant concentration is low, appropriately reducing the amount of agent added can both ensure treatment effectiveness and reduce agent costs.

[0097] The control mechanism optimizes the equipment's operating mode and reduces energy consumption based on changes in exhaust gas flow and composition. For example, when exhaust gas flow is low, the equipment's operating power can be appropriately reduced to achieve energy conservation and emission reduction goals, thereby improving the farm's overall economic and environmental benefits. The pre-set control mechanism records the exhaust gas purification platform's operating parameters and relevant data from the treatment process. This data not only helps the farm manage and optimize its own exhaust gas treatment, but also facilitates supervision and inspection by environmental regulators, enabling data traceability and improving the farm's environmental management capabilities.

[0098] For example, in actual application, we can select four indicators, namely resources, economic costs, environmental impact and technical factors, based on the theory of hierarchical classification models, combine the waste gas emission model and the requirements of waste gas purification guidelines, take chemical decomposition and biological filtration as decision-making objects, and establish a hierarchical classification model for waste gas purification technology decision-making. Build a waste gas purification test platform, carry out purification parameter operation test tests on reaction materials such as concentrated sulfuric acid, citric acid and beneficial bacteria metabolites, and explore the physical and chemical reaction characteristics of waste gas components during the purification process. To ensure the reliable operation of the purification system, establish a reasonable process control strategy to control the drip density, conductivity and pH value of the washing liquid. Based on the relationship between the waste gas purification efficiency and the liquid-to-gas ratio, the appropriate drip density can be determined to achieve a suitable liquid-to-gas ratio.

[0099] Conductivity typically measures the total amount of ammonia, nitrite, and nitrate in a liquid. By controlling the conductivity of the scrubbing liquid to keep it below the maximum solubility of ammonium sulfate, the scrubbing liquid's absorption efficiency for pollutants like ammonia can be ensured. The acidity of the scrubbing liquid, or its pH, not only affects ammonia absorption but also the composition of other pollutants during the purification process. Therefore, the pH range of the scrubbing liquid must be appropriately controlled based on the characteristics of the purification method.

[0100] A hierarchical structure for piggery waste gas purification decision-making was established. The importance of factors influencing waste gas purification technology decisions was qualitatively analyzed. An attribute judgment matrix was constructed to calculate their relative attribute weights. Using the top layer as the criteria, an attribute judgment matrix was constructed at the criterion level, and relative weights were calculated. Using the intermediate layers as the criteria, an attribute judgment matrix was constructed at the solution level, and relative weights were calculated. Finally, the combined weight of the waste gas purification solution relative to the objective was calculated, and a decision was made based on the given conditions.

[0101] For example, in the experiment, an adaptive control system structure suitable for the target farm can be constructed as Figure 2 As shown, a sensor network can be used to collect environmental data through multi-sensor fusion. For example, a wireless multi-point, multi-source remote monitoring system for piggery environments can be used. Multiple slave nodes distributed across the piggery collect data in real time, and comprehensive analysis can be performed to determine the true environmental status. In this step, a wireless sensor network data fusion model can be designed to integrate and process the collected data.

[0102] System data can be fused using a hybrid approach combining an adaptive weighting algorithm and the DS (Dempster Shafer) evidence theory fusion algorithm. First, data from each wireless sensor network collection node is preprocessed and sent to the sensor network's coordinator node. The coordinator node then uses an adaptive weighting algorithm to perform data-level fusion on the data from each collection node. The fused data of different types is then sent to the control center in groups. DS evidence theory is then used for decision-level fusion, guiding control decisions through comprehensive analysis of various environmental parameters.

[0103] For example, in the experiment, a pig house exhaust gas purification system structure diagram can be constructed, such as Figure 3 As shown in the figure, the system is based on a sensor network and uses multi-sensor fusion to collect state parameters during the exhaust gas purification process. Based on the exhaust gas composition emission model at each stage, the system calculates the minimum effective mass transfer contact time. Through an automatic control system, optimal control parameter matching is achieved under different gas concentrations.

[0104] Combining the advantages of genetic algorithms (GAs)—fast, randomized, and globally convergent—with the parallel, positive feedback mechanism, and high solution efficiency of ant colony algorithms, an adaptive multi-objective ant colony genetic algorithm was designed. By monitoring multiple sources of information, including wind speed over the curtains and the pH and EC values ​​of the washing liquid, a self-optimizing control model for piggery exhaust gas purification was established with the goal of controlling water, electricity, and deodorant consumption and improving exhaust gas purification efficiency. Using an adaptive multi-objective ant colony genetic algorithm, this algorithm solves multi-constraint and multi-objective optimization problems, coordinates piggery environmental control and ventilation, eliminates system coupling effects, and optimizes exhaust gas purification.

[0105] From the above introduction, it can be seen that when it is necessary to purify the exhaust gas discharged from the target farm, the method provided in the embodiment of the present application can be combined with the centralized ventilation structural characteristics and exhaust gas emission characteristics of the farm. On the basis of achieving efficient purification of the exhaust gas from the farm, it takes into account the initial investment cost and operation and maintenance costs of the exhaust gas treatment of the farm. It has the advantages of efficient purification and low energy consumption, and is of great significance to the optimal design of the livestock and poultry breeding exhaust gas purification spray system and the selection of supporting equipment.

[0106] As can be seen from the above description, the method provided in the embodiment of the present application can determine the waste gas emission pattern of the target farm based on the environmental parameters of the target farm. The following describes the process, which may include the following:

[0107] Step S201 , analyzing the environmental parameters of the target farm to determine the exhaust gas components emitted by the target farm, the concentration parameters of the pollutants, the temperature change of the target farm, and the wind speed passing through the curtain of the target farm.

[0108] Specifically, different livestock species, feed types, and farming environments result in different components in farm exhaust. For example, exhaust from livestock and poultry farms typically contains ammonia, hydrogen sulfide, volatile organic compounds (VOCs), and particulate matter. Identifying exhaust gas composition helps select appropriate exhaust gas treatment technologies and equipment. Different pollutants require different treatment methods. For example, ammonia is best treated with acidic absorbents, while hydrogen sulfide can be removed through oxidation.

[0109] The concentration of pollutants in exhaust gas directly impacts the impact on the environment and human health, and also determines the difficulty and cost of exhaust gas treatment. High pollutant concentrations require more efficient treatment processes and larger equipment to ensure that emissions meet environmental standards. Understanding the changing patterns of pollutant concentrations can also help optimize the operating parameters of exhaust gas treatment equipment, adjusting the intensity of the treatment process based on concentration levels to achieve energy conservation, emission reduction, and lower operating costs.

[0110] Temperature has a significant impact on the emission and diffusion of waste gases. On the one hand, rising temperatures accelerate the metabolism of livestock and poultry, leading to increased respiratory rates and, consequently, faster waste gas emissions. On the other hand, temperature changes can affect the physical and chemical properties of pollutants in waste gases, thereby affecting their diffusion and transport in the atmosphere. For example, at high temperatures, volatile organic compounds evaporate more rapidly, making the waste gases more susceptible to the formation of secondary pollutants such as ozone. Furthermore, temperature can affect the performance of waste gas treatment equipment. For example, the activity of microorganisms in biological treatment processes is sensitive to temperature, requiring operational parameters to be adjusted accordingly.

[0111] The wind speed over the curtain determines the speed of air circulation within the farm and the efficiency of exhaust gas discharge. An appropriate wind speed over the curtain helps to promptly discharge exhaust gas from the farm, reducing its accumulation indoors and improving the farming environment. It also affects the pattern and range of exhaust gas diffusion. If the wind speed is too high, exhaust gas may be discharged into the surrounding environment without being fully treated, affecting the surrounding air quality. If the wind speed is too low, exhaust gas will accumulate near the farm, increasing the impact of odor and pollutants on surrounding residents. Furthermore, the wind speed over the curtain is closely related to the design and operating costs of the farm's ventilation system and requires reasonable adjustment and optimization based on actual conditions.

[0112] Therefore, in order to understand the waste gas emission patterns of the target farms, it is necessary to analyze the environmental parameters of the target farms, determine the waste gas components emitted by the target farms, the concentration parameters of pollutants, the temperature changes of the target farms, and the wind speed passing through the curtains of the target farms.

[0113] Step S202: establishing a dynamic accumulation model of the target farm based on the exhaust gas components and pollutant concentration parameters emitted by the target farm, the temperature change of the target farm, and the wind speed passing through the curtain of the target farm.

[0114] Specifically, in actual application, the pattern of waste gas emissions is related to waste gas composition, pollutant concentration, and the temperature and humidity of the farm. Furthermore, the waste gas composition and pollutant concentrations emitted by farms are not fixed and are affected by factors such as the scale of farming, feeding methods, and season. For example, as the number of farmed animals increases or the composition of feed changes, the concentration of pollutants such as ammonia and hydrogen sulfide in the waste gas may increase. Understanding the waste gas composition and pollutant concentration parameters emitted by the target farm, the temperature changes at the target farm, and the wind speed over the curtain at the target farm can provide real-time information on the waste gas emissions of the target farm at different points in time.

[0115] Therefore, to better understand the waste gas emission patterns of target farms, a dynamic accumulation model can be established for the target farm based on its waste gas composition and pollutant concentration parameters, temperature fluctuations at the target farm, and wind speed over the target farm. This dynamic accumulation model can predict the diffusion and accumulation of waste gas emissions from the farm in the surrounding environment and assess its impact on surrounding air quality, soil, water bodies, and other environmental factors. For example, the dynamic accumulation model can simulate the concentration distribution of waste gas pollutants within a certain range under different meteorological conditions, providing a scientific basis for determining the safe protection distance between the farm and sensitive areas such as residential areas and water sources. The dynamic accumulation model can predict waste gas composition and concentration changes to ensure that waste gas treatment equipment is operating efficiently and improve pollutant removal efficiency. The dynamic accumulation model can provide farms with detailed waste gas emission data and reports, helping them demonstrate their environmental compliance and respond to supervision and inspections by environmental protection authorities.

[0116] Among them, the dynamic accumulation model of the target farm is trained using the exhaust gas components and pollutant concentration parameters of the training farm, the temperature changes of the training farm, and the wind speed through the curtain of the training farm as training samples, and the exhaust gas emission patterns of the training farm as sample labels.

[0117] In actual applications, farm ammonia concentration, ventilation speed, initial pH of the pickling solution, nozzle pressure, nozzle rated aperture, and nozzle atomization angle can also be selected as input values, with exhaust gas purification efficiency as the predicted output. System data is fused using a hybrid adaptive weighting algorithm and the Dempster Shafer (DS) evidence theory fusion algorithm. During model training, the collected data is first divided into 80% for training and 20% for testing. The model is trained on the training set, using an adaptive weighting strategy to dynamically adjust the weights of input features. The DS evidence theory fusion algorithm is then applied to integrate multi-source data to enhance model robustness. After training, model performance is evaluated on the test set, using mean squared error and mean absolute error metrics to ensure that prediction capabilities meet actual requirements. Based on the evaluation results, model parameters are adjusted and optimized, and multiple rounds of iterations are performed to achieve optimal results.

[0118] Step S203 , analyzing the environmental parameters of the target farm through the dynamic accumulation model of the target farm, and extracting the spatiotemporal characteristic information of the waste gas emission of the target farm.

[0119] Specifically, as can be seen from the above introduction, various environmental parameter data of the target farm include but are not limited to exhaust gas components, pollutant concentrations, temperature, wind speed over the curtain, etc. at different time points. If this 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 process of exhaust gas generation, diffusion, accumulation and emission to the external environment within the farm based on the set algorithm and parameter relationship. During the simulation process, taking into account the changes in time factors, the dynamic accumulation model of the target farm will dynamically calculate the exhaust gas-related parameters at various locations within the farm at different times, thereby obtaining the change pattern of exhaust gas emissions over time.

[0120] Combined with farm structural parameters and geographic information, the dynamic accumulation model for a target farm can analyze the distribution of waste gas across different areas of the farm. For example, by simulating the distribution of waste gas concentrations at different locations, high- and low-concentration areas within the farm can be identified, as well as the primary paths and directions of waste gas diffusion. This helps understand the spatial propagation characteristics of waste gas and provides a basis for the optimal placement of waste gas collection and treatment equipment.

[0121] Furthermore, by analyzing the time series data output by the dynamic accumulation model for the target farm, we can extract temporal characteristics of waste gas emissions. This allows us to observe cyclical patterns in waste gas emissions, such as whether there are diurnal differences or seasonal variations. We can also analyze the peaks and valleys of waste gas emissions at different time points, as well as the causes and influencing factors of these extreme values. For example, we might find that during high temperatures in the summer, waste gas emission concentrations peak at specific times of the day due to the accelerated metabolism of livestock and poultry.

[0122] Based on the results of spatial and time series analysis, we can summarize the spatiotemporal characteristics of waste gas emissions from target farms. This information can include key emission time periods, the location and extent of high-concentration emission areas, and seasonal and weather-related variations in waste gas emissions. By understanding this information, we can fully understand the waste gas emission behavior of target farms, providing strong support for the development of targeted waste gas control measures and environmental management strategies.

[0123] Step S204: determining the waste gas emission pattern of the target farm based on the spatiotemporal characteristic information of the waste gas emission of the target farm.

[0124] Specifically, the spatiotemporal characteristic information of waste gas emissions from the target farms can comprehensively reflect the temporal variation pattern and spatial distribution characteristics of waste gas emissions. Based on this information, the waste gas emission pattern can be accurately determined. Therefore, after extracting the spatiotemporal characteristic information of waste gas emissions from the target farms, the periodic characteristics of emissions can be discovered by analyzing the time series data of waste gas emissions.

[0125] For example, livestock farms may experience diurnal or weekly variations in waste gas emissions due to factors such as livestock and poultry's sleep patterns, feeding schedules, and ventilation system operation times. For example, turning on ventilation equipment at a fixed time each day will result in peak waste gas concentrations during that time. Understanding this periodic pattern can help determine the underlying pattern of waste gas emissions over time. Seasonal factors significantly influence waste gas emissions from livestock farms. Seasonal variations in livestock growth rates, feed intake, water consumption, and metabolic rates can lead to variations in waste gas production and concentrations. Furthermore, seasonal variations can affect ventilation conditions and atmospheric diffusion capacity. For example, during high temperatures in summer, livestock and poultry experience increased respiratory rates, potentially increasing waste gas emissions. Furthermore, due to strong atmospheric convection, waste gas diffusion is relatively rapid. In contrast, in winter, waste gas emissions may decrease, but due to the greater stability of the atmosphere, waste gas accumulation is more likely. Analyzing the spatiotemporal characteristics of waste gas emissions across different seasons can clarify the patterns of seasonal variations in waste gas emissions.

[0126] Different areas within a farm serve different functions, such as breeding areas, feed storage areas, and manure handling areas. These areas are all sources of waste gas emissions. Spatial characteristic information can be used to determine the location and relative strength of each emission source, understanding the contribution of different areas to overall waste gas emissions. For example, the breeding area may be the primary source of pollutants such as ammonia and hydrogen sulfide, while the manure handling area may produce more volatile organic compounds. Clarifying the spatial distribution of emission sources helps to understand the source patterns of waste gas emissions. The diffusion path and range of waste gas within a farm and the surrounding environment are influenced by various factors, such as ventilation patterns, topography, and building layout. Analyzing spatial characteristic information can reveal the diffusion direction and impact area of ​​waste gas under different wind directions and speeds. For example, waste gas concentrations are relatively high in areas downwind of the prevailing wind direction, and the impact area is also larger. Understanding the diffusion path and range of waste gas is crucial for assessing its impact on the surrounding environment and determining protective distances.

[0127] For example, in actual experiments, taking the piggery of a certain scale pig farm as an example, the study found that when fresh air enters the piggery breeding environment and transfers heat and mass to become exhaust gas, there is an obvious accumulation of ambient temperature, such as Figure 4 Pollutants such as ammonia, hydrogen sulfide, and air particulate matter in pig houses also have certain accumulation patterns. By establishing a temporal and spatial series accumulation model for pig house exhaust gas components, we can reveal the cumulative change patterns between exhaust gas components and the breeding environment. This can provide a basis for the subsequent design of exhaust gas purification units and a reference for the optimization design of pig house ventilation structures to ensure animal welfare.

[0128] Secondly, if Figure 4 As shown in part c, how to design the exhaust gas purification unit, establish the mathematical model of the exhaust gas purification unit, and determine the key structural parameters to ensure the ventilation needs of the breeding environment in the house and efficiently purify the exhaust gas are scientific problems that need to be solved in the application of the pig house exhaust gas purification industry.

[0129] like Figure 4The exhaust gas purification system in the shed shown here dynamically adjusts based on feedback from internal and external detectors. The system is equipped with various sensors, such as ammonia, temperature and humidity, and carbon dioxide, to monitor air quality in the sheds in real time and transmit this data to a central control system via Zigbee wireless transmission technology. The system uses a built-in algorithm to analyze current environmental conditions and compare them with preset standards, automatically determining whether to initiate or adjust the exhaust gas treatment process. When exhaust gas concentration exceeds a set threshold, the system increases the deodorant spray rate, and decreases it when concentration decreases, thereby conserving resources. The operating frequency of the scrubber pump and circulating water pump also adjusts based on exhaust gas conditions, dynamically adjusting the number and operating mode of the deodorizing equipment, optimizing treatment efficiency and saving deodorant, water, and electricity.

[0130] From the scheme introduced above, it can be seen that this application can determine the spatiotemporal characteristic information of the waste gas emissions of the target farm based on the environmental parameters of the target farm. This information covers the key elements in both time and space dimensions. Through in-depth analysis and summary of this information, the waste gas emission patterns of the target farm can be comprehensively and accurately determined, providing a scientific basis for subsequent waste gas treatment and environmental management.

[0131] As can be seen from the above introduction, this application can determine the waste gas purification platform model of the target farm based on the waste gas emission pattern of the target farm, the sewage discharge requirements of the target farm, and the structural parameters of the target farm. The following describes the process, which may include the following:

[0132] Step S301: Based on the sewage discharge requirements of the target farm, the waste gas emission pattern of the target farm and the structural parameters of the target farm are analyzed to determine a treatment strategy for purifying the waste gas of the target farm.

[0133] Specifically, different regions have strict environmental protection standards for waste gas emissions from farms. The farm's pollution discharge needs, waste gas emission patterns, and farm structure will all affect the waste gas purification measures for the farm. In order to better treat the waste gas from the target farm, the waste gas emission patterns and structural parameters of the target farm can be analyzed based on the pollution discharge needs of the target farm, and a treatment strategy for purifying the waste gas from the target farm can be determined. By analyzing the waste gas emission patterns based on the farm's pollution discharge needs, we can accurately understand whether the emission concentrations and emissions of various pollutants in the farm's waste gas meet the standards, thereby formulating targeted treatment strategies to ensure that waste gas emissions meet environmental protection requirements and avoid fines or other environmental problems caused by illegal emissions. By continuously analyzing waste gas emission patterns, we can timely grasp the pollution discharge status of the farm under the new policy, adjust the treatment strategy according to the policy, and ensure that the farm always maintains compliance operations. Analyzing waste gas emission patterns can help us understand the amount of pollutants produced and the peak emission levels. Combined with farm structural parameters, such as the scale of farming and building layout, we can determine the appropriate scale of waste gas treatment equipment and treatment processes to match treatment capacity with emission requirements, avoiding waste of resources due to overly large equipment or poor treatment results due to undersized equipment. Different waste gas emission patterns and farm structures will affect how waste gas is collected and treated. For example, if the farm buildings are relatively dispersed, a distributed waste gas collection system may be required. If the concentration of a certain pollutant in the waste gas is high, a dedicated treatment step for that pollutant can be added to the treatment process, thereby optimizing the treatment process and improving treatment efficiency.

[0134] After understanding the patterns and structural parameters of waste gas emissions, it is also possible to select the most economical and effective treatment technology. For waste gas with low emission concentrations and relatively simple components, simpler and lower-cost treatment methods, such as biological filtration, can be used; while for waste gas with high concentrations and complex components, a combination of treatment technologies may be required. However, through precise analysis, over-treatment can be avoided and costs can be reduced. Based on the patterns of waste gas emissions and the structure of the farm, it is possible to recycle the resources in the waste gas. For example, the waste gas generated by some farms contains a certain amount of heat energy or recyclable substances. Through the rational design of treatment strategies, these resources can be recycled, which not only reduces pollution but also reduces the operating costs of the farm, achieving a win-win situation in economic and environmental benefits.

[0135] Analyzing waste gas emission patterns and structural parameters helps determine the distribution of waste gas within a farm. By developing appropriate treatment strategies, we can effectively reduce waste gas concentrations within the breeding area, improve the breeding environment, mitigate the impact of waste gas on livestock and poultry health, and increase breeding efficiency. Farm workers spend long hours working in a breeding environment, and excessive waste gas concentrations can pose a health risk to them. Determining treatment strategies based on waste gas emission patterns and structural parameters can ensure air quality within the farm, protect the health of workers, and reduce potential costs associated with occupational health issues.

[0136] Step S302 , based on the environmental parameters of the target farm, the structural parameters of the target farm and the waste gas treatment strategy of the target farm, determine the airflow structural parameters, fluid structural parameters and filler structural parameters of the waste gas purification platform model of the target farm.

[0137] Specifically, the temperature and humidity of a farm can affect the physical properties and diffusion characteristics of waste gas. For example, in high-temperature and high-humidity environments, the high moisture content in the waste gas can affect the interaction between the gas and the purification material during the purification process. When determining the airflow structure parameters, the effect of temperature on gas viscosity and density must be considered to ensure appropriate gas flow rate and flow rate to ensure effective purification. Furthermore, when humidity is high, the packing structure parameters selected should take into account its moisture resistance and water handling capacity to prevent moisture absorption, which may affect the performance of the packing.

[0138] Local meteorological conditions, such as wind direction and speed, also determine the direction and speed of exhaust gas diffusion around the farm. If the wind frequently blows in a certain direction, the exhaust gas purification platform's airflow structure parameter design should consider how to utilize this wind direction to effectively diffuse the purified gas and avoid secondary pollution to the farm and surrounding environment. Furthermore, varying wind speeds require adjustments to the airflow outlet velocity and flow rate to ensure that the exhaust gas is effectively discharged and thoroughly mixed and diluted with the outside air.

[0139] On the other hand, the scale of the farm determines the amount of waste gas generated and the distribution of emission sources. Large farms may require multiple waste gas purification platforms or larger-scale treatment facilities. The airflow structure parameters should be designed according to the size and shape of the farming area to ensure effective collection and treatment of waste gas. The layout of the farm, such as the arrangement and spacing of the breeding houses, affects the collection method and airflow direction of the waste gas. For example, if the spacing between the breeding houses is small, the airflow structure parameters should be designed to avoid interference between the exhaust gases during the collection process. At the same time, the appropriate flow structure parameters should be determined based on the ventilation system design within the house to ensure that the waste gas can be smoothly transported from the breeding house to the purification platform.

[0140] The farm's architectural structure, such as roof type and wall materials, has a certain impact on the accumulation and emission of exhaust gases. If the roof is well-ventilated and open, exhaust gases can be discharged naturally more easily. However, the design of the purification platform also needs to consider how to integrate this natural ventilation and adjust the airflow structure parameters to improve purification efficiency. For farms with special insulation or ventilation wall designs, the location and number of exhaust gas collection ports should be determined based on these characteristics. This in turn affects the selection of fluid structure parameters and packing structure parameters to ensure that exhaust gases can efficiently enter the purification platform and be effectively treated.

[0141] On the other hand, different waste gas treatment processes have different requirements for airflow, fluid, and filler structural parameters. For example, when using a biofilter to treat waste gas, it is necessary to determine the appropriate airflow velocity and residence time based on the working principle of the biofilter and the conditions for microbial growth, which determines the airflow structural parameters. At the same time, it is necessary to select fillers suitable for microbial attachment and growth, and their structural parameters such as porosity and specific surface area must meet the survival and metabolic needs of microorganisms. If activated carbon adsorption is used, the airflow structural parameters must ensure that the gas can fully contact the activated carbon, the fluid structural parameters must take into account the replacement and regeneration methods of the adsorbent, and the filler structural parameters are mainly designed around the characteristics of the activated carbon to achieve the best adsorption effect.

[0142] On the other hand, clear treatment objectives and emission standards also determine the parameter design of the purification platform model. If the concentration of a certain pollutant in the exhaust gas is required to be reduced to a specific level, it is necessary to control the gas residence time and flow rate within the purification equipment by adjusting the airflow structure parameters based on the nature of the pollutant and the treatment process to ensure that the pollutant has sufficient time to react with the purification material or be adsorbed. The fluid structure parameters must ensure that the purifier or circulating fluid is evenly distributed and fully contacts the exhaust gas, while the packing structure parameters must optimize its performance and improve the removal efficiency of the target pollutant to meet the treatment objectives and emission standards.

[0143] Therefore, after determining the waste gas treatment strategy for the target farm, the airflow structure parameters, fluid structure parameters, and filler structure parameters of the waste gas purification platform model of the target farm can be determined based on the environmental parameters of the target farm, the 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 based on this information.

[0144] Step S303 : determining the waste gas purification platform model of the target farm based on the airflow structure parameters, fluid structure parameters, and filler structure parameters of the waste gas purification platform model of the target farm.

[0145] Specifically, the exhaust gas purification platform model can be used to simulate and predict exhaust gas flow, mass transfer, and reaction processes within the purification platform. Airflow, fluid, and packing structure parameters are crucial components of the exhaust gas purification platform model and directly impact the effectiveness and efficiency of exhaust gas purification. For example, airflow structure parameters such as wind speed, wind direction, and airflow distribution determine the flow path and residence time of exhaust gas within the purification platform. A reasonable airflow structure can evenly distribute exhaust gas within the purification platform, avoiding short-circuits or dead zones, ensuring sufficient contact between exhaust gas and the purification medium, and providing optimal conditions for subsequent purification processes. An appropriate airflow velocity helps facilitate mass transfer between pollutants in the exhaust gas and the purification medium. For example, during adsorption, a suitable airflow velocity allows pollutant molecules to diffuse rapidly onto the adsorbent surface, improving adsorption efficiency. During chemical reactions, good airflow distribution ensures sufficient mixing of reactants, accelerating the reaction rate and thus impacting purification effectiveness.

[0146] For example, fluid structure parameters primarily relate to the flow characteristics of the liquid during the purification process, such as liquid velocity, flow rate, and spray pattern. For waste gas purification platforms that utilize wet purification processes, such as spray towers and wet scrubbers, fluid structure parameters determine the uniformity of liquid distribution within the equipment and the contact area with the waste gas. Uniform liquid distribution allows pollutants in the waste gas to fully absorb and neutralize the liquid, improving purification efficiency. Reasonable fluid structure parameters can enhance the mass transfer between the gas and liquid phases. By adjusting parameters such as the liquid spray angle and flow rate, gas-liquid contact can be more complete, increasing the mass transfer rate of pollutants at the gas-liquid interface and thus improving the ability to remove pollutants from the waste gas. For example, in the purification of acidic waste gas, optimizing the fluid structure parameters to ensure full contact between the alkaline absorption liquid and the acidic waste gas can effectively improve the absorption of the acidic gas.

[0147] Packing structural parameters include the type, shape, size, porosity, specific surface area, etc. As a key component in the waste gas purification platform, the packing can provide a huge surface area for reactions such as gas-liquid mass transfer, adsorption, and catalysis. Different types of packing have different structural characteristics and performance. Selecting the appropriate packing structural parameters can increase the contact area between the waste gas and the purification medium and improve reaction efficiency. For example, in a biological filter, the use of packing with large porosity and high specific surface area is conducive to 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 airflow and fluid within the purification platform. The appropriate packing shape and size can make the airflow and fluid more uniform when passing through the packing layer, avoiding local flow rates that are too high or too low. This helps to improve the processing efficiency of the entire purification platform and reduce the differences in purification effect caused by uneven distribution of airflow or fluid.

[0148] Based on the airflow structure parameters, fluid structure parameters, and filler structure parameters of the target farm's waste gas purification platform model, the waste gas purification process within the purification platform can be described and predicted more accurately, thereby determining the target farm's waste gas purification platform model and providing a theoretical basis for the design, optimization, and operation of waste gas purification equipment. In order to construct a waste gas purification solution suitable for the target farm, the target farm's waste gas purification platform model can be determined based on the airflow structure parameters, fluid structure parameters, and filler structure parameters of the target farm's waste gas purification platform model, so that a waste gas purification solution suitable for the target farm can be constructed based on the target farm's waste gas purification platform model.

[0149] It can be seen from the technical solution introduced above that the method provided in the embodiment of the present application can determine the waste gas purification platform model of the target farm based on the waste gas emission rules 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 solution suitable for the target farm can be constructed based on the waste gas purification platform model of the target farm.

[0150] From the above introduction, it can be seen that this application can establish an exhaust gas purification platform for the target farm based on the exhaust gas purification platform model of the target farm. The following describes the process, which may include the following:

[0151] Step S401 , determining the fan installation position of the target farm and the flow field distribution structure of the airflow 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.

[0152] Specifically, the target farm's fan installation location and the flow field distribution structure of the airflow within the fan purification chamber are crucial for the farm's environmental control and waste gas treatment. The airflow structure parameters of the waste gas purification platform model specify the airflow velocity, flow rate, and direction entering the purification platform. To ensure that waste gas from the farm enters the purification platform smoothly according to design requirements, the fan installation location must be determined based on these parameters. For example, if the waste gas purification platform requires a specific inlet airflow velocity, the fan should be installed in a location that can generate airflow at that velocity, typically at the end of the exhaust gas collection duct or near the exhaust gas purification platform inlet, to ensure that the waste gas is transported to the exhaust gas purification platform at an appropriate speed for treatment. The airflow structure parameters also include the distribution of airflow within the purification chamber. By analyzing these parameters, we can understand the airflow velocity and pressure distribution at different locations within the purification chamber. To achieve uniform airflow distribution and avoid airflow short-circuiting or localized vortices that are detrimental to waste gas purification, the fan installation location must be adjusted based on the flow field distribution structure. For example, in the purification room of some large farms, it may be necessary to install multiple fans and distribute them in different positions according to the requirements of the airflow structure parameters to ensure uniform and stable airflow in the entire purification room and improve the exhaust gas purification efficiency.

[0153] On the other hand, farm structural parameters include the size, shape, and layout of the farm sheds, as well as the location of passageways, doors, and windows. The fan installation location must consider the overall layout of the farm to ensure efficient collection and transport of exhaust gases without disrupting production or personnel operations. For example, in a long farm shed, fans may be installed at either end or on the side to evenly extract exhaust gases from within. Farms with multiple breeding areas require strategic fan placement based on the location and exhaust gas volume of each area, ensuring smooth collection and delivery of exhaust gases from different areas to the purification platform. The farm's building structure, such as the material and shape of the walls and roof, also affects airflow. These factors should be considered when determining the fan installation location and airflow distribution structure. For example, if the farm has a well-ventilated sloping roof, the fan installation location can leverage the roof's ventilation advantages to direct exhaust gases upwards for discharge, while also creating a suitable airflow path within the farm. In farms with insulated walls or specialized ventilation designs, the fan's location and airflow distribution must be coordinated with the wall's ventilation system to ensure smooth and stable airflow.

[0154] Therefore, in order to establish an exhaust gas purification platform suitable for the target farm, the fan installation position of the target farm and the flow field distribution structure of the airflow in the fan purification room can be determined based on the airflow structure parameters of the exhaust gas purification platform model of the target farm and the structural parameters of the target farm. By comprehensively considering the airflow structure parameters of the exhaust gas purification platform model of the target farm and the structural parameters of the farm, the fan installation position and the flow field distribution structure of the airflow in the fan purification room can be scientifically and reasonably determined, thereby realizing the effective collection and treatment of the farm exhaust and good control of the indoor environment.

[0155] Step S502 : determining a detergent flow configuration strategy for the waste gas purification platform of the target farm based on the fluid structure parameters of the waste gas purification platform model of the target farm and the structure parameters of the target farm.

[0156] Specifically, in actual application, the detergent flow configuration of the exhaust gas purification platform also needs to be set according to the actual conditions of the target farm. The liquid flow rate, flow rate, spray mode, etc. in the fluid structure parameters of the exhaust gas purification platform model determine the flow characteristics and distribution of the detergent within the exhaust gas purification platform. In order to ensure that the pollutants in the exhaust gas fully contact and react with the detergent, it is necessary to determine the appropriate detergent flow rate based on 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 exhaust gas not being able to fully contact the detergent, affecting the purification effect; while too high a flow rate may cause problems such as flooding, which is also not conducive to exhaust gas purification. Therefore, the detergent flow rate should be calculated and configured based on the appropriate liquid flow rate range specified in the fluid structure parameters to ensure that the gas and liquid phases can fully contact each other within the purification platform and improve the removal efficiency of pollutants.

[0157] Different waste gas pollutants require specific mass transfer and chemical reactions with detergents to be effectively removed. Fluid structure parameters affect the rates of these mass transfer and reaction processes. For example, when absorbing acidic waste gas, the required detergent flow rate needs to be calculated 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. This ensures that there is sufficient alkaline detergent to react with the acidic waste gas to neutralize it, allowing the acidic pollutants in the waste gas to be fully absorbed and converted into harmless substances. If the detergent flow rate is insufficient and the stoichiometric relationship of the reaction cannot be met, the waste gas purification will be incomplete.

[0158] The structural parameters of the target farm include the area of ​​the breeding sheds, the number of pigs, and the ventilation system. These factors directly affect the amount of waste gas generated by the farm. Generally speaking, larger farms generate more waste gas, requiring a corresponding increase in the detergent flow rate to treat more waste gas. For example, compared to a small chicken farm, a large pig farm has a larger breeding shed area and a larger number of pigs, generating a much larger amount of waste gas. Therefore, the required detergent flow rate for its waste gas purification platform will be greater than that of a chicken farm. By analyzing the farm's structural parameters, we can roughly estimate the amount of waste gas generated. Based on the waste gas purification requirements, we can then determine the detergent flow rate configuration to ensure that the detergent can meet the needs of treating all the farm's waste gas.

[0159] The farm's structural layout will also affect the installation location and space size of the exhaust gas purification platform, which in turn affects the detergent flow configuration. If the exhaust gas purification equipment is installed in a limited space, it may not be able to accommodate a large-capacity detergent storage and supply system. It is necessary to optimize the detergent flow configuration, select more efficient detergents, or adopt a more reasonable spray method to reduce detergent usage while ensuring the purification effect. At the same time, the farm's structure may also affect the layout of the detergent delivery pipeline. If the pipeline is long or has many bends, it will increase fluid resistance. In this case, it is necessary to appropriately adjust the detergent flow and pressure to ensure that the detergent can smoothly reach the various spray points of the purification platform, achieving uniform spraying and efficient purification.

[0160] 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.

[0161] Step S503 , 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 based on the filler structure parameters of the waste gas purification platform model of the target farm and the structural parameters of the target farm.

[0162] Specifically, the packing structural parameters of the exhaust gas purification platform model include packing type, shape, size, specific surface area, porosity, and other factors. Different packing materials have different physical and chemical properties, suiting different exhaust gas purification requirements. For example, activated carbon packing has a large specific surface area and adsorption capacity, making it suitable for adsorbing organic waste gases; while ceramic packing has excellent corrosion resistance and chemical stability and is often used to treat acidic or alkaline waste gases. Based on the packing performance requirements in the packing structural parameters, such as adsorption, catalytic performance, and mass transfer performance, appropriate packing materials can be selected to ensure that the exhaust gas purification platform can effectively remove target pollutants. The packing structural parameters affect the flow resistance and mass transfer efficiency of exhaust gas within the purification platform. For example, the porosity of the packing determines the resistance of gas passing through the packing layer. If the porosity is low and the gas flow resistance is high, a higher fan power is required to push the exhaust gas through. This may also affect the overall structural design of the purification platform, requiring an increase in the platform height or diameter to reduce gas flow rate and reduce 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 exhaust gas purification effect.

[0163] The structural parameters of the target farm reflect the scale of the farm, the type of livestock, and the characteristics of waste gas generation. Larger farms typically generate more waste gas, necessitating a larger waste gas purification platform to treat it. For example, large farms may require multiple purification towers connected in parallel or series, or large, integrated purification equipment, to handle the large volumes of waste gas they produce. Furthermore, the composition and concentration of waste gas generated by different livestock species vary, which influences the choice of filler material and the structural design of the purification platform. For example, the waste gas from a chicken farm may contain a high concentration of ammonia, necessitating the selection of filler materials that effectively absorb or decompose ammonia, such as acidic fillers or fillers with catalytic oxidation properties. Appropriate structures should also be designed to enhance gas-liquid contact and reaction. Factors such as the farm's building structure, site size, and layout limit the installation location and available space for the waste gas purification platform. If space is limited on a farm, a compact and efficient purification platform structure must be designed, with appropriate filler materials and layout to achieve optimal purification within the confined space. For example, a multi-layered filler bed or new, high-efficiency fillers can be used to reduce the footprint of the purification platform. On the other hand, if a farm has ample space, there is more flexibility in designing the purification platform, but coordination with the surrounding environment and overall aesthetics must also be considered. Furthermore, factors such as the farm's ventilation system and the location of exhaust outlets will affect the structure and size of the purification platform. It is important to ensure that the exhaust purification platform is compatible with the farm's overall ventilation and exhaust collection systems, allowing exhaust gas to flow smoothly into the platform for treatment.

[0164] Therefore, in order to achieve the best match between the exhaust gas purification system and the actual situation of the farm and achieve the purpose of efficient and stable exhaust gas treatment, the material filling the exhaust gas purification platform of the target farm and the structure and size of the exhaust gas purification platform of the target farm can be determined based on the filler structure parameters of the exhaust gas purification platform model of the target farm and the structural parameters of the target farm.

[0165] Step S504 : Building the waste gas purification platform of the target farm according to the material of the waste gas purification platform of the target farm and the structure and size of the waste gas purification platform of the target farm.

[0166] Specifically, the materials used to fill the target farm's waste gas purification platform, as well as its structure and dimensions, are key factors in its construction. Understanding the materials, structure, and dimensions of the target farm's waste gas purification platform provides a concrete material foundation and design basis for its construction. Furthermore, the filler material's corrosion resistance, wear resistance, and stability affect the platform's service life and maintenance costs. The structural design of the waste gas purification platform determines the overall structure of the equipment, including airflow channels, the layout of the packing layers, and the location of inlets and outlets. A sound structural design ensures uniform distribution of waste gas within the platform, ensuring sufficient contact with the filler material and improving purification efficiency. The platform's dimensions are determined based on the target farm's waste gas generation and site conditions. The platform must have sufficient processing capacity to treat all waste gas generated by the farm and meet environmental protection requirements. The platform's dimensions must also adapt to the farm's space to ensure the equipment can be properly installed and operated without disrupting other farm activities.

[0167] In order to select appropriate materials in a targeted manner, design a reasonable platform structure and size, and thus establish an exhaust gas purification platform that meets the actual needs of the target farm and realize the effective treatment of the exhaust gas from the farm, the exhaust gas purification platform of the target farm can be established based on the materials filling the exhaust gas purification platform of the target farm and the structure and size of the exhaust gas purification platform of the target farm, so as to realize the effective treatment of the exhaust gas from the farm.

[0168] From the above, it can be seen that the present application can establish a waste gas purification platform for the target farm based on the waste gas purification platform model of the target farm, so as to achieve effective treatment of the waste gas from the farm.

[0169] From the above introduction, it can be seen that the waste gas purification platform of the target farm constructed in this application may include: a pressure chamber, a chemical decomposition chamber, a first biological filtration chamber and a second biological filtration chamber; wherein, the pressure chamber is connected to the waste gas outlet of the target farm and the chemical decomposition chamber, and is responsible for evenly mixing the waste gas pollutants of the target farm, and reducing the wind speed of the waste gas discharged from the target farm so that the waste gas discharged from the target farm can be fully mixed and then discharged into the chemical decomposition chamber.

[0170] The chemical decomposition chamber is responsible for performing acid washing and spraying treatment on the waste gas discharged from the pressure chamber, and 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 filter chamber again; wherein, the process of the chemical decomposition chamber performing acid washing and spraying treatment on the waste gas discharged from the pressure chamber may 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 to spray the acid solution in the acid solution pool into the filler of the waste gas purification platform of the target farm to remove ammonia in the waste gas discharged from the target farm; in the process of removing ammonia from 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 a preset first threshold value, the water pump is started to add concentrated acid of 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 continues to remove ammonia from the waste gas discharged from the target farm.

[0171] The preset first threshold value may be set to 4.5, and the preset concentration may be set to [30%, 80%].

[0172] In the chemical decomposition chamber, ammonia is absorbed in a dilute acidic solution and converted into reduced ammonium ions through a chemical reaction. The reaction equation involved is as follows:

[0173] (1)

[0174] (2)

[0175] Equation (1) represents the equilibrium reaction of ammonia solubility in acidic solution. This equation describes the solubility of ammonia in water, where H is the Henry's law constant, which is , which has a higher solubility than other gases. Carbon dioxide, methane and hydrogen sulfide are 、 and The H value of Equation (2) is the equilibrium constant Equal to forward and backward The ratio of the reaction rate constants.

[0176] (3)

[0177] Equation (3) better describes the relationship between the reaction rate and 、 and The equilibrium constant Can be used as The reciprocal of the acid dissociation constant was deduced, and the value at 298.15K (25°C) was 1.78×109, which was favorable for the backward reaction.

[0178] 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 value 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 [30%, 80%] concentrated acid solution to the acid solution pool to lower the pH value of the acid solution in the acid solution pool to ensure that the acid solution has the ability to neutralize ammonia.

[0179] The first biological filter chamber is connected to the chemical decomposition chamber and the second biological filter chamber; wherein, the first biological filter chamber and the second biological filter chamber both include biological solutions; the first biological filter chamber is responsible for secondary purification of the waste gas discharged from the chemical decomposition chamber, using the microorganisms in the biological solution to perform the first decomposition of organic pollutants in the waste gas discharged from the chemical decomposition chamber and then discharge it to the second biological decomposition chamber; the second biological decomposition chamber then decomposes the organic pollutants in the waste gas discharged from the first biological decomposition chamber again and discharges the resulting gas to the outside.

[0180] Microbial degradation technology is used for washing. A large number of known advantageous bacterial species can be utilized, such as photosynthetic bacteria. These species have low requirements for the composition and content of pollutants in specific wastewater, waste gas, waste residue, etc., and possess a variety of high-purification microorganisms. They can effectively improve the biodegradability of pollutants and increase the removal rate of chemical oxygen demand (COD), ammonia nitrogen, total phosphorus, and toxic and hazardous substances. At the same time, they have the advantages of low sludge volume, short startup time, high operational stability and impact resistance, safety, harmlessness, and easy use and maintenance.

[0181] (4)

[0182] Equation (4) describes the process of hydrogen sulfide and carbon dioxide being broken down by photosynthetic sulfur bacteria (hv). There are many other dominant bacterial species similar to photosynthetic bacteria, including EM bacteria and nitrifying bacteria. Under controlled conditions for bacterial survival and reproduction, biological water washing can remove most of the waste gas components generated in livestock farms. The biological filtration process involves microbial degradation of waste gas. Dominant bacterial species can attach to wet curtains through slowly flowing water, degrading ammonia, hydrogen sulfide, and nitrite contained in the air at the end of livestock and poultry farming operations.

[0183] After testing, this application takes the exhaust gas purification treatment of pig houses as an example to introduce the process of building a pig house exhaust gas purification treatment platform. Figure 5 As shown in the figure, the key structural parameters of the exhaust gas purification system mainly include the wind speed passing through the curtain, the airflow structure, the fluid structure, and the packing material. Among them, the airflow structure can include the fan parameters and the airflow 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 room. The design of the fluid structure mainly considers the uniform distribution of the washing liquid in the washing liquid flow configuration, and the precise control of the droplet diameter and the spraying range. In the actual application process, it is mainly based on the porosity of the packing structure, comprehensively considering the relationship between the packing structure size and the airflow velocity, minimum mass transfer effective contact time, and pressure drop in the packing to determine the material, structure and size of the packing.

[0184] In this experiment, the packing size (length, width and height) of the pig house exhaust gas purification test platform was set to 680mm*680mm*150mm, and the diameter of the hexagonal through hole was 25mm. At this time, the gas flow rate in the packing was 1m / s, and the pressure drop before and after was about 10Pa.

[0185] For example, Figure 5 Taking the piggery exhaust gas purification process shown in the figure as an example, exhaust gas from the piggery enters a pressure chamber (area ②), where a fan promotes mixing of the exhaust gas and reduces the wind speed to facilitate entry into the subsequent purification stage. The exhaust gas then enters a chemical decomposition chamber (area ③), where an acid solution reacts with the ammonia in the exhaust gas, converting most of the ammonia into ammonium ions and solidifying them in a solution. The solution is then transferred to a waste liquid recovery tank. After treatment in the chemical decomposition chamber, the exhaust gas enters biological filtration chamber 1 (area ④) and biological filtration chamber 2 (area ⑤). Specific microorganisms in the biological solution decompose the organic pollutants in the exhaust gas. The resulting waste liquid is returned to the biological solution tank, further reducing the concentration of harmful components in the gas, and ultimately, the clean gas is discharged into the environment.

[0186] In actual application, the spatiotemporal accumulation model of piggery exhaust gas components can be combined with theoretical analysis and experimental testing to study the coupling correlation mechanism of factors such as the wind speed through the curtain, airflow organization, filler structure, and spraying method of the exhaust gas purification unit on the exhaust gas purification efficiency and ventilation resistance. A mathematical model of the exhaust gas purification unit can be established to determine the key structural parameters of the pig farm exhaust gas purification unit, thereby improving the exhaust gas purification efficiency while ensuring the ventilation requirements of the piggery. Among them, the coupling correlation mechanism can be expressed as a mathematical model relationship between various parameters. Using the self-optimizing piggery exhaust gas purification control model, the optimal solution is calculated, that is, the fan speed, filler size structure, and spray rate parameters are adjusted to maximize the exhaust gas purification efficiency while meeting the ventilation requirements of the piggery.

[0187] For example, based on the above-mentioned scheme, the present application can be constructed as follows Figure 6 The intelligent pig house exhaust gas purification system shown in Figure 6 The intelligent pig house exhaust gas purification system shown includes two working modes: energy-saving mode and high-efficiency mode. The system can realize intelligent treatment of exhaust gas discharged from the pig house in a more efficient and energy-saving manner, and can also provide early warning of failures in various components.

[0188] The deodorant tank stores the deodorant needed to treat exhaust gas, while the deodorant pump pumps it to the reservoir. In the reservoir, clean water and wastewater are mixed, and a scrubbing pump delivers the deodorant mixture to the scrubbing equipment to remove harmful components from the exhaust gas. The treated wastewater is then directed to a sedimentation tank, where solid impurities settle. The clean water is then returned to the system for reuse via a circulation pump, forming a closed-loop system. The reservoir not only adds clean water but also stores treated wastewater. The wastewater tank collects wastewater generated during the treatment process, which is then pumped to the reservoir via a wastewater pump. The sewage pump pumps wastewater from the sedimentation tank to the sewage tank, which collects any remaining wastewater for further treatment. During system operation, a stop valve controls the spraying of the deodorant, ensuring effective treatment at the appropriate time and under the appropriate conditions. In high-efficiency mode, the entire system ensures optimal treatment results through real-time monitoring and automatic adjustments. In energy-saving mode, the system uses pressure sensors, pH sensors and conductivity sensors to monitor the status of waste gas and wastewater in real time, automatically adjusting the supply of deodorant and the operating frequency of the pump, thereby reducing energy consumption and avoiding full operation when the pig house load is low.

[0189] In actual application, after determining the pig type, number of pigs, installation conditions of the purification platform in the pig farm, and fan parameters, the method of this application can be used to calculate the overall size of the purification space, the specifications of the control room, the layout of the air inlet, the layout of the exhaust port, the size of the pressure chamber, the size of each level of filter screen, the gap size, the water tank size, the air diversion equipment, the nozzle selection, the nozzle layout, and the pump selection; the annual power consumption, annual water consumption, annual acid consumption and exhaust gas purification efficiency of the pig farm's purification treatment can also be analyzed.

[0190] From the above introduction, it can be seen that this application can effectively carry out intelligent and effective waste gas purification 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 be combined with the structural characteristics of the centralized ventilation type of the farm and the waste gas emission characteristics. On the basis of achieving efficient purification of the waste gas of the farm, it takes into account the initial investment cost and operation and maintenance costs of the waste gas treatment of the farm. It has the advantages of high efficiency purification and low energy consumption, which is of great significance to the optimization design of the waste gas purification spray system for livestock and poultry farming and the selection of supporting equipment.

[0191] The following describes the farm waste gas treatment device provided in the embodiment of the present application. The farm waste gas treatment device described below and the farm waste gas treatment described above can be referenced to each other.

[0192] See also Figure 7 , Figure 7 This is a schematic diagram of the structure of a farm waste gas treatment device disclosed in the embodiment of this application. Figure 7 As shown, the farm waste gas treatment device may include: a determination unit 101, used to determine the distributed environmental information perception network of the target farm according to the type of the target farm; a collection unit 102, used to collect the environmental parameters of the target farm based on the distributed environmental information perception network of the target farm; a construction unit 103, used to establish and start 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; a perception unit 104, used to perceive the state parameters of the waste gas purification platform of the target farm and the real-time environmental parameters of the target farm in real time; a purification unit 105, used to control the operation of the waste gas purification platform 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, using a preset control mechanism to treat the waste gas generated by the target farm.

[0193] From the above introduction, it can be seen that this application can effectively carry out intelligent and effective waste gas purification 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 be combined with the structural characteristics of the centralized ventilation type of the farm and the waste gas emission characteristics. On the basis of achieving efficient purification of the waste gas of the farm, it takes into account the initial investment cost and operation and maintenance costs of the waste gas treatment of the farm. It has the advantages of high efficiency purification and low energy consumption, which is of great significance to the optimization design of the waste gas purification spray system for livestock and poultry farming and the selection of supporting equipment.

[0194] Among them, the specific treatment process of each unit included in the above-mentioned farm waste gas treatment device can refer to the relevant introduction of the farm waste gas treatment method part above, and will not be repeated here.

[0195] The farm waste gas treatment device provided in the embodiment of the present application can be applied to farm waste gas treatment equipment, such as terminals: mobile phones, computers, etc. Optionally, Figure 8 The hardware structure diagram of the farm waste gas treatment equipment is shown. 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 embodiment of the present application, the number of processor 1, communication interface 2, memory 3 and communication bus 4 is at least one, and the processor 1, communication interface 2 and memory 3 communicate 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 embodiment of the present application; the memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), 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 flow in the aforementioned terminal farm waste gas treatment solution.

[0196] An embodiment of the present application also provides a readable storage medium, which can store a program suitable for execution by a processor, and the program is used to: implement various processing processes of the aforementioned terminal in the farm waste gas treatment solution.

[0197] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only 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 terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0198] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0199] The above description of the disclosed embodiments is intended to enable those skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. The various embodiments may be combined with one another. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for treating waste gas from a farm, characterized in that: include: Determining a distributed environmental information perception network for the target farm based on the type of the target farm; Collecting environmental parameters of the target farm based on the distributed environmental information perception network of the target farm; Analyze the environmental parameters of the target farm to determine the exhaust gas components, pollutant concentration parameters, temperature changes of the target farm, and wind speed over the target farm; Based on the exhaust gas components and concentration parameters of pollutants emitted by the target farm, the temperature changes of the target farm, and the wind speed passing through the curtain of the target farm, a dynamic accumulation model of the target farm is established, wherein the dynamic accumulation model of the target farm is trained using the exhaust gas components and concentration parameters of pollutants of the training farm, the temperature changes of the training farm, and the wind speed passing through the curtain of the training farm as training samples, and the exhaust gas emission pattern of the training farm as sample labels; Analyzing the environmental parameters of the target farm through the dynamic accumulation model of the target farm, and extracting the spatiotemporal characteristic information of the waste gas emission of the target farm; Determining the waste gas emission pattern of the target farm based on the spatiotemporal characteristic information of the waste gas emission of the target farm; Determining an exhaust gas purification platform model for the target farm based on the exhaust gas emission pattern of the target farm, the sewage discharge requirements of the target farm, and the structural parameters 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; Real-time perception of 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, a preset control mechanism is used to control the operation of the waste gas purification platform of the target farm to treat the waste gas generated by the target farm.

2. The method according to claim 1, characterized in that The step of determining the waste gas purification platform model of the target farm based on the waste gas emission pattern of the target farm, the sewage discharge demand of the target farm, and the structural parameters of the target farm includes: Based on the sewage discharge requirements of the target farm, analyzing the waste gas emission pattern of the target farm and the structural parameters of the target farm, and determining a treatment strategy for purifying the waste gas of the target farm; Determining the airflow structure parameters, fluid structure parameters, and filler structure parameters of the waste gas purification platform model of the target farm based on the environmental parameters of the target farm, the structural parameters of the target farm, and the waste gas treatment strategy of the target farm; The waste gas purification platform model of the target farm is determined based on the airflow structure parameters, fluid structure parameters, and filler structure parameters of the waste gas purification platform model of the target farm.

3. The method according to claim 2, characterized in that Based on the waste gas purification platform model of the target farm, the waste gas purification platform of the target farm is established, including: Determine the fan installation position of the target farm and the flow field distribution structure of the airflow 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; Determining a detergent flow configuration strategy for the waste gas purification platform of the target farm 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; Determining the material 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, based on the filler structural parameters of the waste gas purification platform model of the target farm and the structural parameters of the target farm; The waste gas purification platform of the target farm is established according to the material 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.

4. The method according to claim 3, characterized in that The waste gas purification platform constructed for the target farm includes: a pressure chamber, a chemical decomposition chamber, a first biological filtration chamber and a second biological filtration chamber; The pressure chamber is connected to the exhaust outlet of the target farm and the chemical decomposition chamber, and is responsible for evenly mixing the exhaust pollutants from the target farm and reducing the wind speed of the exhaust gas discharged from the target farm so that the exhaust gas discharged from the target farm is fully mixed before being discharged into the chemical decomposition chamber. The chemical decomposition chamber is responsible for performing acid spray treatment on the waste gas discharged from the pressure chamber, and 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 again to the first biological filtration chamber; The first biological filtration chamber is connected to the chemical decomposition chamber and the second biological filtration chamber; wherein the first biological filtration chamber and the second biological filtration chamber both contain biological solution; The first biological filter chamber is responsible for secondary purification of the waste gas discharged from the chemical decomposition chamber. The organic pollutants in the waste gas discharged from the chemical decomposition chamber are decomposed for the first time by the microorganisms in the biological solution and then discharged to the second biological filter chamber. The second biological filter chamber then decomposes the organic pollutants in the waste gas discharged from the first biological filter chamber again and discharges the obtained gas to the outside.

5. The method according to claim 4, characterized in that The process of the chemical decomposition chamber performing acid spraying treatment on the waste gas discharged from the pressure chamber includes: When the pressure chamber discharges the waste gas to be treated to the chemical decomposition chamber, the water spray valve is activated to spray the acid solution in the acid solution pool onto the filler of the waste gas purification platform of the target farm to remove ammonia in the waste gas discharged from the target farm; 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 value, a water pump is started to add concentrated acid of a preset concentration into 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 removes ammonia from the exhaust gas discharged from the target farm.

6. A farm waste gas treatment device, using the farm waste gas treatment method according to claim 1, characterized in that: The device includes: A first determining unit is configured to determine a distributed environmental information perception network of a target farm based on the type of the target farm; A collection unit, configured to collect environmental parameters of the target farm based on the distributed environmental information perception network of the target farm; A construction unit, configured to establish and start an exhaust gas purification platform for the target farm based on the environmental parameters of the target farm and the sewage discharge requirements of the target farm; A sensing unit, configured to sense in real time the state parameters of the waste gas purification platform of the target farm and the real-time environmental parameters of the target farm; The purification unit is used to control the operation of the waste gas purification platform 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, using a preset control mechanism to treat the waste gas generated by the target farm.

7. A farm waste gas treatment equipment, characterized in that: include: one or more processors, and memory; The memory stores computer-readable instructions, which, when executed by the one or more processors, implement the steps of the farm waste gas treatment method according to any one of claims 1 to 5.

8. A readable storage medium, characterized in that: The readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, the one or more processors implement the steps of the farm waste gas treatment method as described in any one of claims 1 to 5.

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