Synergistic carbon and nitrogen reducing, controlling and recycling system for livestock and poultry breeding

Abstract

The invention relates to the technical field of livestock and poultry breeding, and discloses a livestock and poultry breeding carbon nitrogen collaborative reduction control and recycling system, which comprises a whole-chain data sensing module, a data driving prediction module and a dynamic adjustment adaptation module, and is characterized in that the whole-chain data sensing module is used for deploying an intelligent sensor by adopting a wireless sensing node in a livestock and poultry breeding area; the method comprises the following steps: monitoring the whole chain, acquiring whole chain monitoring data, predicting carbon nitrogen emission, a resource value coefficient and a carbon nitrogen emission reduction capability index based on the whole chain monitoring data through a data driving prediction module, and outputting a dynamic optimization adjustment scheme based on a prediction result of the data driving prediction module through a dynamic adjustment adaptation module. According to the system, a full-chain solution scheme from data support to quantitative evaluation to precise regulation and control is constructed, the goal of carbon and nitrogen collaborative reduction and control is achieved, the manure resource utilization efficiency is improved, the pressure of agricultural non-point source pollution and environmental compliance is relieved, and the breeding system is promoted to be transformed to the green sustainable direction.

Description

Technical Field

[0001] This invention relates to the field of livestock and poultry breeding technology, specifically to a system for the coordinated reduction and resource utilization of carbon and nitrogen in livestock and poultry breeding. Background Technology

[0002] Livestock and poultry farming is a core component of agricultural production and a crucial link between crop farming and food processing. Through the artificial breeding of breeds of pigs, cattle, sheep, and poultry, feed resources are transformed into high-quality products such as meat, eggs, milk, and fur, providing humans with basic food sources rich in protein and minerals. Simultaneously, it supports the development of related industries such as food processing, bio-fertilizers, and pharmaceutical raw materials. As an industry with both economic and social value, modern livestock and poultry farming has upgraded from traditional free-range farming to a large-scale, standardized, and intelligent production system. It integrates multiple disciplines such as genetic breeding, nutritional formulation, disease prevention and control, and environmental regulation. This not only ensures a stable supply and quality safety of livestock and poultry products, meeting the needs of residents' evolving dietary structures, but also achieves the reduction and harmless treatment of livestock waste through manure resource utilization and ecological circular farming models, promoting a virtuous cycle in the agricultural ecosystem. It is a vital support for ensuring national food security, promoting rural industrial revitalization, and improving the overall benefits of agriculture.

[0003] Existing livestock farming systems lack comprehensive monitoring of carbon and nitrogen emissions, making it impossible to accurately quantify emission intensity. Furthermore, most farms focus only on single pollutants and lack a comprehensive assessment of farmland's consumption capacity, resulting in "unfounded and blind control" of carbon and nitrogen emissions. Manure treatment is disconnected from farmland absorption, leading to either excessive application of organic fertilizers far exceeding farmland's carrying capacity, exacerbating soil ammonia volatilization and spreading nitrogen pollution from surface runoff, or insufficient application resulting in an imbalance of carbon and nitrogen nutrients in the soil and low resource utilization efficiency. Ultimately, the goal of coordinated carbon and nitrogen reduction and control cannot be achieved, resulting in waste of manure resources and exacerbating agricultural non-point source pollution and environmental compliance pressures. Summary of the Invention

[0004] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides a system for the coordinated reduction and resource utilization of carbon and nitrogen in livestock and poultry farming. It features the coordinated operation of three modules: full-chain data perception, data-driven prediction, and dynamic adjustment and adaptation. This system constructs a complete solution from data support to quantitative assessment to precise control, achieving the goal of coordinated carbon and nitrogen reduction and control, improving the efficiency of manure resource utilization, alleviating agricultural non-point source pollution and environmental compliance pressures, and promoting the transformation of the farming system towards green and sustainable development.

[0005] (II) Technical Solution To achieve the above objectives, the present invention provides the following technical solution: a system for coordinated reduction and resource utilization of carbon and nitrogen in livestock and poultry farming, comprising a full-chain data sensing module, a data-driven prediction module, and a dynamic adjustment and adaptation module; The full-chain data sensing module is used to deploy smart sensors using wireless sensing nodes within the livestock and poultry breeding area and acquire full-chain monitoring data. The data-driven prediction module predicts carbon and nitrogen emissions, resource value coefficient, and carbon and nitrogen emission reduction capacity index based on full-chain monitoring data. The dynamic adjustment and adaptation module outputs a dynamic optimization and adjustment scheme based on the prediction results of the data-driven prediction module.

[0006] Preferably, the full-chain data sensing module includes a sensing deployment unit, a data integration unit, and a data storage unit; The sensor deployment unit is used to deploy a multi-source sensor network in livestock sheds, manure storage ponds, manure treatment workshops, and supporting farmland in the breeding farm. The data integration unit is used to connect a multi-source sensor network with IoT technology to realize the real-time acquisition of monitoring data across the entire chain, and to upload the monitoring data to the data storage unit in real time after preprocessing the data through the edge gateway. The data storage unit will collect the pre-processed data from the data integration unit into a full-chain monitoring data set, and store it with numbers. It will also reserve a data interface to support integration with the existing management platform of the farm.

[0007] Preferably, the full-chain monitoring data set includes a livestock housing environment monitoring data set, a manure treatment monitoring data set, and a farmland monitoring data set.

[0008] Preferably, the livestock housing environmental monitoring data set includes livestock housing methane concentration, livestock housing ventilation volume, stocking density, feed consumption, livestock housing ammonia concentration, livestock housing temperature, and livestock housing humidity; The monitoring data set for manure treatment includes biogas production, organic fertilizer production, total nitrogen content of organic fertilizer, and total carbon content of organic fertilizer; The farmland monitoring data set includes soil organic carbon, soil ammonia volatilization, and total nitrogen in surface runoff.

[0009] Preferably, the carbon and nitrogen emissions include both carbon emissions and nitrogen emissions, and the formula for calculating the carbon emissions is as follows: ; In the formula, Represents carbon emissions. Represents the methane concentration in livestock housing. Represents the ventilation volume of the livestock shed. Represents the monitoring period. The conversion coefficient representing methane concentration emissions. Represents stocking density, Represents feed consumption. Represents the environmental correction factor for carbon emissions. The coefficient representing the conversion of methane to carbon dioxide equivalents; The formula for calculating the nitrogen emissions is as follows: ; In the formula, Represents nitrogen emissions. Represents the ammonia concentration in the livestock house. Represents the ventilation volume of the livestock shed. Represents the monitoring period. Represents the ammonia correction factor. The conversion coefficient representing ammonia concentration emissions. Represents stocking density, This represents the amount of feed consumed. This represents the nitrogen content of the feed. This represents the rate at which feed nitrogen is converted into ammonia through volatilization. This represents the nitrogen emission ratio coefficient.

[0010] Preferably, the carbon emission environmental correction factor The calculation formula is: ; In the formula, Represents the temperature of the livestock shed. Represents the baseline temperature of the livestock shed. Represents the temperature influence coefficient. Represents the humidity of the livestock shed. Represents the baseline humidity in livestock housing. Represents the influence coefficient of humidity; The ammonia correction factor The calculation formula is: ; In the formula, Represents the ammonia correction factor. The coefficient representing the influence of livestock building ventilation. Represents the ventilation volume of the livestock shed. Represents the temperature of the livestock shed. Represents the baseline temperature of the livestock shed. This represents the temperature influence coefficient.

[0011] Preferably, the formula for calculating the resource value coefficient is as follows: ; In the formula, The coefficient representing the resource utilization value and the weight representing the value of biogas power generation are shown. Represents biogas production. Represents biogas power generation efficiency. Represents the on-grid electricity price. Represents the daily cost of treating sewage. The weight representing the nutrient value of organic fertilizer. Represents organic fertilizer production. Represents the total nitrogen content of organic fertilizer. The market price of nitrogen as a representative unit. This represents the total carbon content of organic fertilizer. The market price of carbon products represented by the unit.

[0012] Preferably, the formula for calculating the carbon and nitrogen emission reduction capacity index is as follows: ; In the formula, Represents soil organic carbon. Represents the basic value of soil organic carbon. Weights representing carbon emission reduction capabilities Represents soil ammonia volatilization. Represents the baseline value of soil ammonia volatilization. The weight representing soil ammonia volatilization. Represents total nitrogen in surface runoff. Represents the baseline value of total nitrogen in surface runoff. The weight representing total nitrogen in surface runoff; , .

[0013] Preferably, the dynamic adjustment and adaptation module is internally configured with carbon emission threshold, nitrogen emission threshold, resource value coefficient threshold, and carbon and nitrogen emission reduction capacity index threshold. The carbon emission, nitrogen emission, resource value coefficient, and carbon and nitrogen emission reduction capacity index are compared with the carbon emission threshold, nitrogen emission threshold, resource value coefficient threshold, and carbon and nitrogen emission reduction capacity index threshold to determine whether a dynamic optimization and adjustment scheme needs to be implemented.

[0014] Preferably, the implementation of the dynamic optimization and adjustment scheme is specifically as follows: When carbon emissions exceed the carbon emission threshold, it indicates excessive methane emissions from livestock houses. In such cases, it is necessary to prioritize the regulation of the livestock house environment and simultaneously optimize the stocking density and feed formulation. When nitrogen emissions exceed the nitrogen emission threshold, it indicates severe ammonia volatilization in livestock houses. In such cases, it is necessary to prioritize increasing ventilation to dilute ammonia and controlling temperature to suppress volatilization. When the resource value coefficient is less than the resource value coefficient threshold, it means that the resource utilization benefits are insufficient. Priority should be given to increasing biogas production and the total nitrogen and total carbon content of organic fertilizer, while simultaneously optimizing the manure treatment process. When the carbon and nitrogen emission reduction capacity index is less than the threshold, it indicates that the emission reduction effect of farmland is poor and the amount of manure applied needs to be optimized, while soil conditioning should be carried out.

[0015] Compared with existing technologies, this invention provides a system for the coordinated reduction and resource utilization of carbon and nitrogen in livestock and poultry farming, which has the following beneficial effects: This invention first deploys a multi-source sensor network in livestock sheds, manure treatment workshops, and supporting farmland using a full-chain data sensing module. Combined with IoT technology, it achieves real-time collection of monitoring data across the entire chain, solving the problems of traditional livestock farming lacking full-chain monitoring of carbon and nitrogen emissions and the inability to accurately quantify emission intensity. This provides a comprehensive and traceable data foundation for subsequent accounting and control. Then, data-driven prediction calculates carbon and nitrogen emissions, resource value coefficients, and carbon and nitrogen emission reduction capacity indices, transforming scattered monitoring data into precisely quantifiable evaluation indicators. This clarifies the evaluation standards for resource recovery benefits and farmland emission reduction effects, breaking away from the limitations of single-pollution approaches. The limitations of traditional pest control led to the development of a carbon-nitrogen synergy evaluation system. Finally, by dynamically adjusting and adapting the module to compare preset threshold indicators with corresponding indicators, the system automatically identifies shortcomings in areas such as methane emissions from livestock sheds, ammonia volatilization, resource utilization benefits, and farmland emission reduction. It then outputs targeted optimization solutions, effectively addressing the disconnect between manure treatment and farmland disposal. This avoids non-point source pollution caused by excessive organic fertilizer application or resource waste caused by insufficient application, achieving the goal of synergistic carbon-nitrogen reduction and control, improving the efficiency of manure resource utilization, alleviating agricultural non-point source pollution and environmental compliance pressures, and promoting the transformation of the livestock system towards green and sustainable development. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the system of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 The system for coordinated reduction and resource utilization of carbon and nitrogen in livestock and poultry farming includes a full-chain data sensing module, a data-driven prediction module, and a dynamic adjustment and adaptation module. The full-chain data sensing module includes a sensing deployment unit, a data integration unit, and a data storage unit; The sensor deployment unit is used to deploy a multi-source sensor network in livestock sheds, manure storage ponds, manure treatment workshops, and supporting farmland in livestock farms; The data integration unit is used to connect a multi-source sensor network with IoT technology to achieve real-time acquisition of monitoring data across the entire chain. After preprocessing the monitoring data through the edge gateway, the data is uploaded to the data storage unit in real time. The data storage unit collects the pre-processed data from the data integration unit into a full-chain monitoring data set, which is then numbered and stored. It also reserves a data interface to support integration with the farm's existing management platform. The full-chain monitoring data set includes livestock housing environment monitoring data set, manure treatment monitoring data set, and farmland monitoring data set. The livestock housing environment monitoring data set includes livestock housing methane concentration, livestock housing ventilation volume, stocking density, feed consumption, livestock housing ammonia concentration, livestock housing temperature, and livestock housing humidity. The manure treatment monitoring data set includes biogas production, organic fertilizer production, total nitrogen content of organic fertilizer, and total carbon content of organic fertilizer. The farmland monitoring data set includes soil organic carbon, soil ammonia volatilization, and total nitrogen in surface runoff. The full-chain data perception module provides basic reference data for the coordinated management of carbon and nitrogen in livestock and poultry farming through multi-scenario sensor deployment, real-time integrated preprocessing, and standardized storage docking. It realizes comprehensive and seamless monitoring of key indicators across the entire chain, ensuring data timeliness and accuracy. It provides comprehensive, accurate, and traceable data support for subsequent assessments of carbon and nitrogen emissions, resource value coefficients, and carbon and nitrogen emission reduction capacity indices. It solves the problems of incomplete monitoring and low data utilization in traditional farming data from the source, and lays a solid data foundation for the formulation of dynamic optimization and adjustment plans for the system. The data-driven prediction module predicts carbon and nitrogen emissions, resource value coefficients, and carbon and nitrogen emission reduction capacity indices based on full-chain monitoring data. Carbon and nitrogen emissions include both carbon and nitrogen emissions. The formula for calculating carbon emissions is: ; In the formula, Represents carbon emissions. Represents the methane concentration in livestock housing. Represents the ventilation volume of the livestock shed. Represents the monitoring period. The conversion coefficient representing methane concentration emissions. Represents stocking density, Represents feed consumption. Represents the environmental correction factor for carbon emissions. The coefficient representing the conversion of methane to carbon dioxide equivalents; in, It represents the actual mass of methane diffused into the air, calculated by combining methane concentration, ventilation volume, and time, reflecting the real-time emission status. This represents methane that has not been fully diffused. Methane is produced through intestinal fermentation linked to feed consumption. Combined with stocking density, the population emission effect is amplified, while the environmental impact on fermentation and volatilization is corrected. Carbon emission environmental correction factor The calculation formula is: ; In the formula, Represents the temperature of the livestock shed. Represents the baseline temperature of the livestock shed. Represents the temperature influence coefficient. Represents the humidity of the livestock shed. Represents the baseline humidity in livestock housing. Represents the influence coefficient of humidity; The formula for calculating nitrogen emissions is: ; In the formula, Represents nitrogen emissions. Represents the ammonia concentration in the livestock house. Represents the ventilation volume of the livestock shed. Represents the monitoring period. Represents the ammonia correction factor. The conversion coefficient representing ammonia concentration emissions. Represents stocking density, This represents the amount of feed consumed. This represents the nitrogen content of the feed. This represents the rate at which feed nitrogen is converted into ammonia through volatilization. Represents the nitrogen emission ratio coefficient; in, This represents the mass of ammonia gas that evaporates in real time, calculated using ammonia concentration and ventilation volume. The representative calculates the total nitrogen intake of livestock and poultry by measuring feed consumption and nitrogen content, and then combines the volatility and proportionality coefficient to reflect the volatility potential of nitrogen in feces and urine. At the same time, the group emission effect is amplified by the stocking density. Ammonia correction factor The calculation formula is: ; In the formula, Represents the ammonia correction factor. The coefficient representing the influence of livestock building ventilation. Represents the ventilation volume of the livestock shed. Represents the temperature of the livestock shed. Represents the baseline temperature of the livestock shed. Represents the temperature influence coefficient; in, This represents the dilution and suppression effect of ventilation volume on nitrogen emissions; This represents the promoting effect of temperature on nitrogen emissions; The carbon emission formula integrates measured data such as methane concentration and ventilation volume in livestock houses, combined with temperature and humidity correction terms, to accurately capture the dual emission contributions of intestinal fermentation and methane diffusion. The nitrogen emission formula links parameters such as ammonia concentration, stocking density, and feed nitrogen content to quantify the combined nitrogen loss from real-time volatilization and potential volatilization, providing a precise quantitative basis for the coordinated reduction and control of carbon and nitrogen, and enabling emission reduction measures to be targeted at the core emission links. The formula for calculating the resource value coefficient is: ; In the formula, The coefficient representing the resource utilization value and the weight representing the value of biogas power generation are shown. Represents biogas production. Represents biogas power generation efficiency. Represents the on-grid electricity price. Represents the daily cost of treating sewage. The weight representing the nutrient value of organic fertilizer. Represents organic fertilizer production. Represents the total nitrogen content of organic fertilizer. The market price of nitrogen as a representative unit. This represents the total carbon content of organic fertilizer. The market price of carbon products represented by the unit; in, This represents the total economic benefit of daily biogas power generation. Represents the resource value of biogas power generation. This represents the total nutrient value of the organic fertilizer produced daily. This represents the resource value of organic fertilizer nutrients; The resource value coefficient integrates measured data such as biogas production, organic fertilizer production, and nutrient content in the manure treatment process, combined with industry-standard parameters and market prices, to quantify the direct economic benefits of biogas power generation and the nutrient resource value of organic fertilizer. Based on the daily manure treatment cost, a comprehensive value coefficient is formed through scientific weighting, allowing farms to intuitively perceive the actual benefits of resource utilization. The formula for calculating the carbon and nitrogen emission reduction capacity index is: ; In the formula, Represents soil organic carbon. Represents the basic value of soil organic carbon. Weights representing carbon emission reduction capabilities Represents soil ammonia volatilization. Represents the baseline value of soil ammonia volatilization. The weight representing soil ammonia volatilization. Represents total nitrogen in surface runoff. Represents the baseline value of total nitrogen in surface runoff. The weight representing total nitrogen in surface runoff; , ; in, The carbon reduction capacity of farmland Represents the nitrogen emission reduction capacity of farmland; The carbon and nitrogen emission reduction capacity index integrates key monitoring data such as soil organic carbon, soil ammonia volatilization, and total nitrogen in surface runoff. It uses the logic of comparing measured values ​​with benchmark values ​​to quantify the carbon sequestration capacity and nitrogen loss control effect of farmland in different dimensions. Then, through reasonable weight allocation, a comprehensive index is formed, which not only intuitively reflects the emission reduction effect of farmland terminals, but also accurately identifies shortcomings, thus achieving accurate quantification and scientific evaluation of the synergistic carbon and nitrogen emission reduction effect. The dynamic adjustment and adaptation module has internally set thresholds for carbon emissions, nitrogen emissions, resource value coefficient, and carbon and nitrogen emission reduction capacity index. It compares carbon emissions, nitrogen emissions, resource value coefficient, and carbon and nitrogen emission reduction capacity index with each threshold to determine whether a dynamic optimization adjustment scheme needs to be implemented. Specifically: When carbon emissions exceed the carbon emission threshold, it indicates excessive methane emissions from livestock houses. In such cases, it is necessary to prioritize the regulation of the livestock house environment and simultaneously optimize the stocking density and feed formulation. When nitrogen emissions exceed the nitrogen emission threshold, it indicates severe ammonia volatilization in livestock houses. In such cases, it is necessary to prioritize increasing ventilation to dilute ammonia and controlling temperature to suppress volatilization. When the resource value coefficient is less than the resource value coefficient threshold, it means that the resource utilization benefits are insufficient. Priority should be given to increasing biogas production and the total nitrogen and total carbon content of organic fertilizer, while simultaneously optimizing the manure treatment process. When the carbon and nitrogen emission reduction capacity index is less than the carbon and nitrogen emission reduction capacity index threshold, it means that the emission reduction effect of farmland is poor and the amount of manure applied needs to be optimized, while soil conditioning is carried out at the same time. The dynamic adjustment and adaptation module compares carbon emissions, nitrogen emissions, resource value coefficient, and carbon and nitrogen emission reduction capacity index with preset thresholds to quickly identify shortcomings in key aspects such as methane emissions from livestock houses, ammonia volatilization, resource utilization benefits, and farmland emission reduction effects. It clarifies the criteria for determining whether regulation is needed and ensures precise regulation direction and implementable measures through priority classification and full-chain collaborative measures, comprehensively achieving coordinated carbon and nitrogen reduction and resource utilization in livestock and poultry farming.

[0019] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A livestock and poultry breeding carbon and nitrogen synergistic reduction and resource system, characterized in that, The full-chain data perception module, the data-driven prediction module, and the dynamic adjustment and adaptation module are comprised. The full-chain data perception module is configured to deploy intelligent sensors in the livestock and poultry breeding area by using wireless sensing nodes and to obtain full-chain monitoring data. The data-driven prediction module is configured to predict carbon and nitrogen emissions, resource value coefficients, and carbon and nitrogen emission reduction capacity indexes based on the full-chain monitoring data. The dynamic adjustment and adaptation module is configured to output a dynamic optimization adjustment scheme based on the prediction results of the data-driven prediction module.

2. The livestock and poultry breeding carbon and nitrogen synergistic reduction and resource system according to claim 1, characterized in that, The full-chain data perception module comprises a sensing deployment unit, a data integration unit, and a data storage unit. The sensing deployment unit is configured to deploy a multi-source sensor network in livestock houses, manure storage pools, manure treatment workshops, and supporting farmland in the breeding farm. The data integration unit is configured to connect the multi-source sensor network by using Internet of Things technology to realize real-time collection of full-chain monitoring data, and to upload the monitoring data to the data storage unit after data preprocessing by an edge gateway. The data storage unit stores the full-chain monitoring data set composed of the data preprocessed by the data integration unit, and reserves a data interface to support docking with an existing management platform of the breeding farm.

3. The livestock and poultry breeding carbon and nitrogen synergistic reduction and resource system according to claim 2, characterized in that, The full-chain monitoring data set comprises livestock house environment monitoring data, manure treatment monitoring data, and farmland monitoring data.

4. The livestock and poultry breeding carbon and nitrogen synergistic reduction and resource system according to claim 3, characterized in that, The livestock house environment monitoring data set comprises livestock house methane concentration, livestock house ventilation volume, breeding density, feed consumption, livestock house ammonia concentration, livestock house temperature, and livestock house humidity. The manure treatment monitoring data set comprises biogas production, organic fertilizer production, total nitrogen content of organic fertilizer, and total carbon content of organic fertilizer. The farmland monitoring data set comprises soil organic carbon, soil ammonia volatilization, and total nitrogen of surface runoff.

5. The livestock and poultry breeding carbon and nitrogen synergistic reduction and resource system according to claim 4, characterized in that, The carbon emission amount and the nitrogen emission amount, the calculation formula of the carbon emission amount is: ； In the formula, represents carbon emission, represents methane concentration in the livestock house, represents ventilation amount of the livestock house, represents monitoring period, represents methane concentration emission conversion coefficient, represents breeding density, represents feed consumption, represents carbon emission environment correction coefficient, represents coefficient for converting methane into carbon dioxide equivalent; The calculation formula of the nitrogen emission amount is: ； In the formula, Represents nitrogen emissions. Represents the ammonia concentration in the livestock house. Represents the ventilation volume of the livestock shed. Represents the monitoring period. Represents the ammonia correction factor. The conversion coefficient representing ammonia concentration emissions. Represents stocking density, This represents the amount of feed consumed. This represents the nitrogen content of the feed. This represents the rate at which feed nitrogen is converted into ammonia through volatilization. This represents the nitrogen emission ratio coefficient.

6. The livestock and poultry breeding carbon and nitrogen synergistic reduction and resource system according to claim 5, characterized in that, The carbon emission environmental correction coefficient The calculation formula is: ； In the formula, represents the temperature of the livestock house, represents the reference temperature of the livestock house, represents the temperature influence coefficient, represents the humidity of the livestock house, represents the reference humidity of the livestock house, represents the humidity influence coefficient; The ammonia correction coefficient The calculation formula is: ； In the formula, represents an ammonia correction coefficient, represents a livestock house ventilation influence coefficient, represents a livestock house ventilation, represents a livestock house temperature, represents a livestock house reference temperature, represents a temperature influence coefficient.

7. The livestock and poultry breeding carbon and nitrogen synergistic reduction and resource system according to claim 4, characterized in that, The calculation formula of the resource value coefficient is: ； In the formula, represents the resource value coefficient, represents the weight of biogas power generation value, represents the biogas yield, represents the biogas power generation efficiency, represents the on-grid electricity price, represents the daily treatment cost of fecal pollution, represents the weight of organic fertilizer nutrient value, represents the organic fertilizer yield, represents the total nitrogen content of organic fertilizer, represents the market price of unit nitrogen, represents the total carbon content of organic fertilizer, represents the market price of unit carbon.

8. The livestock and poultry breeding carbon and nitrogen synergistic reduction and resource system according to claim 4, characterized in that, The calculation formula of the carbon and nitrogen emission reduction capacity index is: ； In the formula, represents the soil organic carbon, represents the soil organic carbon base value, represents the weight of carbon emission reduction capacity, represents the soil ammonia volatilization, represents the soil ammonia volatilization base value, represents the weight of soil ammonia volatilization, represents the total nitrogen of surface runoff, represents the total nitrogen of surface runoff base value, represents the weight of total nitrogen of surface runoff; ， 。 9. The livestock and poultry breeding carbon and nitrogen synergistic reduction and resource system according to claim 8, characterized in that, The dynamic adjustment and adaptation module is internally provided with carbon emission amount threshold, nitrogen emission amount threshold, resource value coefficient threshold, and carbon and nitrogen emission reduction capacity index threshold, and the carbon emission amount, the nitrogen emission amount, the resource value coefficient, and the carbon and nitrogen emission reduction capacity index are compared with the carbon emission amount threshold, the nitrogen emission amount threshold, the resource value coefficient threshold, and the carbon and nitrogen emission reduction capacity index threshold to determine whether the dynamic optimization adjustment scheme needs to be implemented.

10. The livestock and poultry breeding carbon and nitrogen synergistic reduction and resource system according to claim 9, characterized in that, The implementation of the dynamic optimization adjustment scheme specifically includes: When the carbon emission amount is greater than the carbon emission amount threshold, it represents that the livestock house methane emission is excessive, and the livestock house environment needs to be controlled first, and the breeding density and the feed formula need to be optimized simultaneously. When the nitrogen emission amount is greater than the nitrogen emission amount threshold, it represents that the livestock house ammonia volatilization is serious, and the ventilation volume needs to be increased to dilute the ammonia, and the temperature needs to be controlled to inhibit volatilization. When the resource value coefficient is less than the resource value coefficient threshold, it represents that the resource utilization benefit is insufficient, and the biogas production and the total nitrogen and total carbon content of organic fertilizer need to be improved, and the manure treatment process needs to be optimized simultaneously. When the carbon and nitrogen emission reduction capacity index is less than the carbon and nitrogen emission reduction capacity index threshold, it represents that the farmland emission reduction effect is poor, and the manure application amount needs to be optimized, and soil conditioning needs to be performed simultaneously.

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