A multi-park intelligent operation and maintenance method for agricultural and pastoral industry parks

Abstract

This invention discloses a smart operation and maintenance method for multiple agricultural and livestock industrial parks, comprising: constructing a smart operation and maintenance model for each zero-carbon agricultural and livestock park to calculate the total value of ecological agricultural products; analyzing the carbon-energy flow characteristics of the biological derivative chain in each zero-carbon agricultural and livestock park, and establishing an energy-carbon flow analysis model for calculating energy consumption and carbon emissions; calculating the corresponding comprehensive efficiency conversion relationship based on the total value of ecological agricultural products, energy consumption, and carbon emissions in each zero-carbon agricultural and livestock park; determining the multi-park collaborative operation mode based on the comprehensive efficiency conversion relationship of each zero-carbon agricultural and livestock park, and generating a corresponding multi-park smart operation and maintenance strategy; implementing the operation and maintenance and management of each zero-carbon agricultural and livestock park based on the multi-park smart operation and maintenance strategy, calculating the carbon-electric value under the multi-park smart operation and maintenance strategy, and evaluating the effectiveness of multi-park smart operation and maintenance based on the carbon-electric value. This invention can improve the production efficiency of agricultural and livestock industrial parks and reduce operation and maintenance costs.

Description

Technical Field

[0001] This invention relates to the field of multi-park operation and maintenance management of agricultural and livestock industrial parks, and specifically to a smart operation and maintenance method for multi-park agricultural and livestock industrial parks. Background Technology

[0002] Agricultural and pastoral parks are rich in biomass resources, possessing abundant organic waste resources such as agricultural waste and livestock manure. However, the existing installed capacity of biomass power generation in these parks is low, and the utilization of organic waste resources is also low, resulting in the underdevelopment and underutilization of these flexible resources. Therefore, it is urgent to explore the flexible and adjustable resources of agricultural and pastoral parks. Biogas power generation technology, using biomass waste resources as raw materials, has rapid start-up and shutdown characteristics and the ability to quickly adjust power output. Its high flexibility and controllability can quickly supplement power output when the power system experiences sudden failures or other equipment outages. Furthermore, it can be coordinated with other energy systems to participate in grid peak shaving and frequency regulation services through multi-energy synergy, supporting the stable operation of the power system and greatly reducing the pressure on grid operation.

[0003] Zero-carbon agricultural and livestock parks are industrial parks built according to the requirements of zero-carbon industry development, with the main purpose of achieving clean energy power supply, zero carbon emissions, and resource recycling. The applicant found that the energy consumption, carbon emissions, and electricity output of various zero-carbon agricultural and livestock parks differ in actual operation. Some parks may have high energy consumption or carbon emissions, while others have problems with the inability to absorb their electricity output. Therefore, if these parks can be integrated into a smart operation and maintenance system, the production efficiency of agricultural and livestock industrial parks can be improved while reducing operation and maintenance costs. Summary of the Invention

[0004] To address the shortcomings of the existing technologies, the technical problem this invention aims to solve is: how to provide a smart operation and maintenance method for multiple agricultural and livestock industrial parks, capable of constructing smart operation and maintenance models and energy flow-carbon flow analysis models for each zero-carbon agricultural and livestock park to calculate the comprehensive efficiency conversion relationship; simultaneously, based on the comprehensive efficiency conversion relationship of each zero-carbon agricultural and livestock park, determining the collaborative operation mode of multiple parks and generating corresponding smart operation and maintenance strategies for multiple parks; further calculating the carbon value of electricity and evaluating the effectiveness of smart operation and maintenance of multiple parks, thereby improving the production efficiency of agricultural and livestock industrial parks and reducing operation and maintenance costs.

[0005] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0006] Smart operation and maintenance methods for multiple parks in agricultural and livestock industrial parks include:

[0007] S1: Construct a smart operation and maintenance model for each zero-carbon agricultural and livestock park to calculate the total value of ecological agricultural products;

[0008] S2: Analyze the carbon-energy flow characteristics of the biological derivative chain in various agricultural and pastoral zero-carbon parks, and establish an energy-carbon flow analysis model for calculating energy consumption and carbon emissions;

[0009] S3: Calculate the comprehensive efficiency conversion relationship based on the total value of ecological agricultural products, energy consumption, and carbon emissions of each zero-carbon agricultural and livestock park;

[0010] S4: Determine the multi-park collaborative operation mode based on the comprehensive efficiency conversion relationship of each agricultural and pastoral zero-carbon park, and then generate the corresponding multi-park smart operation and maintenance strategy.

[0011] S5: Based on the multi-park smart operation and maintenance strategy, realize the operation and maintenance and management of each agricultural and livestock zero-carbon park, then calculate the carbon value of electricity under the multi-park smart operation and maintenance strategy, and evaluate the effect of multi-park smart operation and maintenance based on the corresponding carbon value of electricity.

[0012] Preferably, the park's smart operation and maintenance model calculates the total value of organic agricultural products through the following steps:

[0013] S101: Use market valuation methods to evaluate the economic benefits of zero-carbon agricultural and livestock parks;

[0014] S102: Evaluate the social benefits of zero-carbon agricultural and livestock parks through questionnaires, key interviews and / or market research;

[0015] S103: Analyze the carbon sequestration and oxygen release capacity of zero-carbon agricultural and pastoral parks using the substitution cost method, and evaluate the ecological benefits of zero-carbon agricultural and pastoral parks;

[0016] S104: Calculate the negative ecological side effects of zero-carbon agricultural and livestock parks using the market value method;

[0017] S105: The economic, social, ecological, and negative ecological side effects of zero-carbon agricultural and livestock parks are weighted and calculated to obtain the total value of the corresponding ecological agricultural products.

[0018] Preferably, the total value of organic agricultural products is determined by the following formula:

[0019] GEP=(k1·EMVP+k2·ERSV+k3·EESV+k4·ECSV)-k5·ESEV;

[0020] In the formula: GEP represents the total value of ecological agricultural products; EMVP represents the economic benefits of zero-carbon agricultural and livestock parks; ERSV represents the ecological support product benefits and ecological culture product benefits in the social benefits of zero-carbon agricultural and livestock parks; ECSV represents the environmental benefits of zero-carbon agricultural and livestock parks; ESEV represents the negative ecological side effects of zero-carbon agricultural and livestock parks; k1, k2, k3, k4, and k5 represent the weights of EMVP, ERSV, EESV, ECSV, and ESEV, respectively.

[0021] Preferably, the energy flow-carbon flow analysis model calculates carbon emissions using the following formula:

[0022] E i =∑(T) in ×δ in );

[0023] E=∑(E i ×ω i );

[0024] In the formula: E i T represents the emission amount of the i-th greenhouse gas; in δ represents the amount of the i-th greenhouse gas emitted from the n-th source; in The emission factor represents the greenhouse gas emissions per unit of activity from a single emission source; E represents total carbon emissions from agriculture; ω i This represents the global warming potential of the i-th greenhouse gas.

[0025] Preferably, the energy flow-carbon flow analysis model calculates energy consumption using the following energy consumption model;

[0026] Energy consumption model:

[0027] 1) Energy consumption model of plant tissue culture

[0028]

[0029] In the formula: E tc The total energy consumption required for plant tissue culture is represented by: μ; the plant growth coefficient is represented by: x; the start time of supplemental lighting is represented by: n; the total number of plants is represented by: μ; and the total duration is represented by: E. l E represents the energy consumption of a single plant in terms of light. th This represents the energy consumption per unit time for temperature and humidity control.

[0030]

[0031] In the formula: E f E represents the total energy consumption required for the aeroponic process of the plant group; w This indicates the energy consumption of a single plant for spraying;

[0032] 2) Energy consumption model for animal husbandry

[0033]

[0034] In the formula: E fc α represents the total energy consumption required for animal growth; α is the animal growth coefficient.

[0035] 3) Energy consumption model for auxiliary lighting

[0036]

[0037] 4) Energy consumption model of physical pest control equipment

[0038]

[0039] 5) Energy consumption model of nitrogen fixation equipment

[0040]

[0041] 6) Energy consumption model of evaporative air coolers

[0042]

[0043] 7) Energy consumption model of electric boilers

[0044]

[0045] 8) Energy consumption model of the dividing machine equipment

[0046]

[0047] 9) Energy consumption model of organic fertilizer equipment

[0048]

[0049] 10) Energy consumption model for wastewater treatment equipment

[0050]

[0051] In the formula: E LED Total energy consumption for auxiliary lighting equipment; P LED For auxiliary lighting equipment power; E PC Total energy consumption of physical pest control equipment; P PC Power of physical pest control equipment; E NF Total energy consumption of nitrogen fixation equipment; P NF Power of nitrogen fixation equipment; E ER Total energy consumption of the evaporative cooler; P ER η is the power of the air cooler; E is the efficiency. EB Total energy consumption of electric boiler; P EB E represents the power of the electric boiler. CMTotal energy consumption of the shunt device; P CM Power of the shunt device; E EC Total energy consumption of organic fertilizer equipment; P EC Power of organic fertilizer equipment; E STE Total energy consumption of wastewater treatment equipment; P STE Power of the wastewater treatment equipment.

[0052] Preferably, the comprehensive efficiency conversion relationship includes the ratio of energy consumption to the total value of ecological agricultural products, i.e., energy efficiency, and the ratio of carbon emissions to the total value of ecological agricultural products, i.e., carbon efficiency.

[0053] Preferred multi-park collaborative operation models include resource sharing and industrial chain cooperation models;

[0054] When the sum of energy efficiency of all zero-carbon agricultural and livestock parks is greater than the sum of carbon efficiency, the multi-park collaborative operation mode is determined to be a resource-sharing mode; when the sum of energy efficiency of all zero-carbon agricultural and livestock parks is less than or equal to the sum of carbon efficiency, the multi-park collaborative operation mode is determined to be a supply chain cooperation mode.

[0055] Preferably, 1) if the multi-park collaborative operation mode is a resource-sharing mode, then the corresponding multi-park smart operation and maintenance strategy includes:

[0056] a. Energy sharing: Renewable energy facilities, including solar photovoltaic, wind power and / or biomass energy, are shared among various zero-carbon agricultural and livestock parks;

[0057] b. Waste resource utilization: Waste treatment facilities are shared among various zero-carbon agricultural and livestock parks, and the waste of one zero-carbon agricultural and livestock park is used as a resource for another zero-carbon agricultural and livestock park.

[0058] c. Water resource management: Water resource management facilities are shared among various zero-carbon agricultural and pastoral parks to optimize water resource allocation and reduce water waste and pollution;

[0059] 2) If the multi-park collaborative operation mode is a supply chain cooperation mode, the corresponding multi-park smart operation and maintenance strategies include:

[0060] a. Supply chain collaboration for agricultural and livestock products: Different zero-carbon agricultural and livestock parks can form cooperative relationships between upstream and downstream of the industrial chain based on their respective resource advantages;

[0061] b. Technology and service sharing: Agricultural, livestock and / or agricultural product processing technologies are shared among the various zero-carbon agricultural and livestock parks, and technical support and services are provided to each other.

[0062] Preferably, a cloud-based management and control platform is built based on a multi-park intelligent operation and maintenance strategy, wherein the functions of the cloud-based management and control platform include:

[0063] 1) Deploy sensors and equipment in each agricultural and livestock zero-carbon park to achieve real-time monitoring and data collection of various agricultural and livestock production facilities and equipment;

[0064] 2) By leveraging big data analytics, we process and analyze the data generated by various zero-carbon agricultural and livestock parks, uncovering the patterns and value behind the data to support decision-making for these parks.

[0065] 3) Construct an intelligent control system based on artificial intelligence technology to realize intelligent control and optimization of agricultural and livestock production facilities and equipment in various zero-carbon agricultural and livestock parks;

[0066] 4) Apply machine learning algorithms and data models to predict and prevent the failure of agricultural and livestock production facilities and equipment in various zero-carbon agricultural and livestock parks.

[0067] Preferably, the carbon value of electricity generated through collaboration among multiple zero-carbon agricultural and livestock parks is assessed through the following steps:

[0068] S501: Calculate the carbon emission reduction of each agricultural and pastoral zero-carbon park under the multi-park smart operation and maintenance strategy, and calculate the total carbon emission reduction.

[0069] S502: Convert the total reduction in carbon emissions into the corresponding value of carbon emissions through carbon market prices or internal cost estimates;

[0070] S503: Calculate the electricity output of each zero-carbon agricultural and pastoral park under the multi-park smart operation and maintenance strategy, and calculate the total electricity output.

[0071] S504: Convert the total amount of electricity output into the corresponding value of electricity output through market prices;

[0072] S505: The carbon emission value and the electricity output value are added together as the carbon-electric value under the multi-park smart operation and maintenance strategy.

[0073] Compared with existing technologies, the intelligent operation and maintenance method for multiple parks in agricultural and pastoral industrial parks in this invention has the following advantages:

[0074] This invention first constructs a smart operation and maintenance model for each zero-carbon agricultural and livestock park. Then, it analyzes the carbon-energy flow characteristics of the biological derivative chain in each park to establish an energy-carbon flow analysis model. Finally, it calculates the comprehensive efficiency conversion relationship based on the total value of ecological agricultural products, energy consumption, and carbon emissions in each zero-carbon agricultural and livestock park. The smart operation and maintenance model, through data collection and analysis of ecological agricultural products within the park, can assist managers in making more scientific and rational decisions. Furthermore, through this model, the park can better achieve coordinated development of ecology, economy, and society, promoting sustainable agricultural and livestock development and thus better achieving the zero-carbon goal. Simultaneously, the energy-carbon flow analysis model, through detailed analysis of the carbon and energy flow characteristics of the biological derivative chain, can clearly understand the carbon emissions and energy consumption of each park during the production process, thereby better managing and controlling the zero-carbon agricultural and livestock parks. By accurately calculating carbon emissions, the park can formulate targeted emission reduction measures to gradually achieve carbon neutrality. Effective management of carbon and energy flows can also ensure that ecological agricultural products obtain sufficient energy and nutrients during growth and processing, thereby improving product quality and enhancing market competitiveness. Finally, by calculating the comprehensive efficiency conversion relationship, we can provide a scientific basis for the sustainable development decision-making of the park. By comparing and analyzing the efficiency differences between different parks, we can identify the bottlenecks and problems that restrict sustainable development, formulate targeted multi-park operation and maintenance solutions, and promote the sustainable development of the park.

[0075] This invention determines a multi-park collaborative operation mode based on the comprehensive efficiency conversion relationship of various zero-carbon agricultural and livestock parks, generates corresponding multi-park smart operation and maintenance strategies, and then implements the operation and management of each zero-carbon agricultural and livestock park based on these strategies. Furthermore, it calculates the carbon value of electricity under these strategies and evaluates the effectiveness of multi-park smart operation and maintenance. The multi-park collaborative operation mode optimizes resource allocation, achieves resource sharing and complementarity, improves overall operational efficiency, helps reduce resource waste, increases production efficiency, and lowers operation and maintenance costs. Simultaneously, the smart operation and maintenance strategies determined based on the comprehensive efficiency conversion relationship help achieve green and low-carbon development in each zero-carbon agricultural and livestock park. By reducing energy consumption and carbon emissions, it promotes resource recycling and contributes to the sustainable development of the entire industrial park. Moreover, by calculating the carbon value of electricity under the multi-park smart operation and maintenance strategy, the economic benefits of the industrial park in terms of energy utilization and carbon emissions can be more accurately assessed. This helps the park formulate more scientific energy management strategies, improve energy utilization efficiency, reduce carbon emission costs, and enhance the carbon value of the entire zero-carbon agricultural and livestock park. Furthermore, management and operation based on a multi-park intelligent operation and maintenance strategy can provide park managers with more comprehensive and accurate data support, helping them make more scientific and reasonable decisions, improving decision-making efficiency and accuracy, and promoting the steady development of the industrial park. Finally, the implementation of a multi-park collaborative operation model and intelligent operation and maintenance strategy helps promote industrial synergy and innovative development among different parks. Through resource sharing, technology exchange, and collaborative innovation, it can drive technological progress and industrial upgrading throughout the entire industrial park. Attached Figure Description

[0076] To make the objectives, technical solutions, and advantages of the invention clearer, the invention will now be described in further detail with reference to the accompanying drawings, wherein:

[0077] Figure 1 A logical flowchart for a multi-park intelligent operation and maintenance method for agricultural and livestock industrial parks;

[0078] Figure 2 This is a schematic diagram illustrating the establishment of an energy flow-carbon flow analysis model. Detailed Implementation

[0079] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but only to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0080] It should be noted that similar reference numerals and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the figures, or the orientation or positional relationship commonly used when the product is in use. They are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third," etc., are only used to distinguish descriptions and should not be construed as indicating or implying relative importance. In addition, the terms "horizontal," "vertical," etc., do not mean that the component is required to be absolutely horizontal or suspended, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted. In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0081] The following detailed explanation illustrates the specific implementation methods:

[0082] Example:

[0083] This embodiment discloses a smart operation and maintenance method for multiple parks in agricultural and pastoral industrial parks.

[0084] like Figure 1As shown, the intelligent operation and maintenance method for multiple parks in agricultural and livestock industrial parks includes:

[0085] S1: Construct a smart operation and maintenance model for each zero-carbon agricultural and livestock park to calculate the total value of ecological agricultural products;

[0086] In this embodiment, the park's intelligent operation and maintenance model can realize incentives for biomass power generation and electricity sales, specifically:

[0087] Improving biomass power generation efficiency: The park's intelligent operation and maintenance model can monitor and manage the operating status of biomass power generation equipment in real time, optimize equipment operating parameters, improve power generation efficiency, reduce energy waste, and thus lower the cost of biomass power generation. This allows biomass power generation companies to participate more competitively in the market and obtain more incentives for biomass power generation.

[0088] Data-driven decision-making: The park's smart operation and maintenance model, through big data analytics and artificial intelligence, can provide accurate data and predictions, helping biomass power generation companies make more scientific operational decisions. This allows biomass power generation companies to better meet market demands, enhance competitiveness, and obtain greater incentives and rewards.

[0089] In conclusion, the smart operation and maintenance model for industrial parks can help biomass power generation manufacturers optimize their operations and management, improve efficiency, and maximize profits, thereby better utilizing biomass power generation incentives and electricity sales incentive policies to achieve a win-win situation of sustainable development and economic benefits.

[0090] Incentives for biomass power generation: These are policies or measures formulated by governments or relevant agencies to encourage biomass energy power generation. These incentives include subsidies, tax breaks, pricing policies, or other forms of support, aimed at promoting the utilization and development of biomass energy to reduce dependence on traditional fossil fuels, lower greenhouse gas emissions, and promote the use of sustainable energy.

[0091] Electricity sales incentives: Electricity sales incentives refer to rewards or incentives provided by governments or energy markets to encourage renewable energy power producers to sell their electricity to the grid. These incentives include fixed subsidies, preferential electricity pricing policies, purchase guarantees, or other forms of support to promote the increase of renewable energy power generation, achieve energy transition goals, and reduce carbon emissions.

[0092] Photovoltaic power generation and biomass power generation have complementary advantages. Photovoltaic power generation mainly relies on solar energy to generate electricity, while biomass power generation can be flexibly adjusted according to needs and is not affected by climate. Through the intelligent management of the park's smart operation and maintenance model, the operation modes of photovoltaic power generation and biomass power generation can be adjusted in real time according to weather forecasts and energy demand, achieving effective complementarity and optimized utilization of energy.

[0093] The synergy between photovoltaic power generation and biomass power generation can achieve energy diversification and sustainable development. With the help of a smart operation and maintenance model for the industrial park, clean energy can be used efficiently, reducing dependence on traditional energy sources, lowering carbon emissions, and promoting the park's energy system towards a more environmentally friendly and sustainable direction.

[0094] Therefore, the application of the park's intelligent operation and maintenance model in photovoltaic power generation and biomass power generation can enable the two to complement each other, improve energy utilization efficiency, reduce costs, and promote sustainable energy development.

[0095] S2: Analyze the carbon-energy flow characteristics of the biological derivative chain in various agricultural and pastoral zero-carbon parks, and establish an energy-carbon flow analysis model for calculating energy consumption and carbon emissions;

[0096] In this embodiment, combining the energy flow-carbon flow analysis model and the market value assessment model allows for a more comprehensive evaluation of the economic and environmental benefits of zero-carbon agricultural and livestock parks. The market value assessment model considers the impact of energy and carbon emissions on the market, assessing the costs and benefits of energy production and utilization, as well as the external costs of carbon emissions, from an economic perspective. Combining the two models provides a better understanding of the relationship between energy and carbon emissions, offering more scientific support and guidance for the sustainable development of zero-carbon agricultural and livestock parks.

[0097] Therefore, establishing an energy flow-carbon flow analysis model and combining it with a market value assessment model to evaluate the energy consumption and carbon emissions of zero-carbon agricultural and pastoral parks is a comprehensive and effective method that helps promote the sustainable development of the parks and optimize energy management.

[0098] S3: Calculate the comprehensive efficiency conversion relationship based on the total value of ecological agricultural products, energy consumption, and carbon emissions of each zero-carbon agricultural and livestock park;

[0099] In this embodiment, the comprehensive efficiency conversion relationship refers to the relationship that comprehensively considers energy conversion efficiency and carbon emission efficiency in energy flow-carbon flow analysis. This relationship reflects the energy loss, carbon emissions, and overall energy utilization efficiency during the energy conversion process. Through the comprehensive efficiency conversion relationship, the overall energy utilization efficiency and carbon emission efficiency can be assessed, guiding energy management and the formulation of emission reduction measures.

[0100] The comprehensive efficiency conversion relationship can guide the energy storage and dispatching of photovoltaic and biomass power generation systems. By rationally designing energy storage systems and intelligent dispatching strategies, flexible complementarity between photovoltaic and biomass power generation systems can be achieved, improving energy utilization efficiency and reducing carbon emissions.

[0101] The integrated efficiency conversion relationship can help optimize the coordination between photovoltaic power generation and biomass power generation systems, improve energy utilization efficiency, reduce carbon emissions, and promote the park's development towards sustainable development.

[0102] Therefore, the overall efficiency conversion relationship plays an important role in the cooperation between photovoltaic power generation and biomass power generation.

[0103] S4: Determine the multi-park collaborative operation mode based on the comprehensive efficiency conversion relationship of each agricultural and pastoral zero-carbon park, and then generate the corresponding multi-park smart operation and maintenance strategy.

[0104] S5: Based on the multi-park smart operation and maintenance strategy, realize the operation and maintenance and management of each agricultural and livestock zero-carbon park, then calculate the carbon value of electricity under the multi-park smart operation and maintenance strategy, and evaluate the effect of multi-park smart operation and maintenance based on the corresponding carbon value of electricity.

[0105] In this embodiment, multiple thresholds can be set, such as: if the carbon value is lower than the first threshold, the effect of smart operation and maintenance in multiple parks is poor; if the carbon value reaches the second threshold, the effect of smart operation and maintenance in multiple parks is medium; if the carbon value reaches the third threshold, the effect of smart operation and maintenance in multiple parks is good; if the carbon value reaches the fourth threshold, the effect of smart operation and maintenance in multiple parks is excellent.

[0106] This invention first constructs a smart operation and maintenance model for each zero-carbon agricultural and livestock park. Then, it analyzes the carbon-energy flow characteristics of the biological derivative chain in each park to establish an energy-carbon flow analysis model. Finally, it calculates the comprehensive efficiency conversion relationship based on the total value of ecological agricultural products, energy consumption, and carbon emissions in each zero-carbon agricultural and livestock park. The smart operation and maintenance model, through data collection and analysis of ecological agricultural products within the park, can assist managers in making more scientific and rational decisions. Furthermore, through this model, the park can better achieve coordinated development of ecology, economy, and society, promoting sustainable agricultural and livestock development and thus better achieving the zero-carbon goal. Simultaneously, the energy-carbon flow analysis model, through detailed analysis of the carbon and energy flow characteristics of the biological derivative chain, can clearly understand the carbon emissions and energy consumption of each park during the production process, thereby better managing and controlling the zero-carbon agricultural and livestock parks. By accurately calculating carbon emissions, the park can formulate targeted emission reduction measures to gradually achieve carbon neutrality. Effective management of carbon and energy flows can also ensure that ecological agricultural products obtain sufficient energy and nutrients during growth and processing, thereby improving product quality and enhancing market competitiveness. Finally, by calculating the comprehensive efficiency conversion relationship, we can provide a scientific basis for the sustainable development decision-making of the park. By comparing and analyzing the efficiency differences between different parks, we can identify the bottlenecks and problems that restrict sustainable development, formulate targeted multi-park operation and maintenance solutions, and promote the sustainable development of the park.

[0107] This invention determines a multi-park collaborative operation mode based on the comprehensive efficiency conversion relationship of various zero-carbon agricultural and livestock parks, generates corresponding multi-park smart operation and maintenance strategies, and then implements the operation and management of each zero-carbon agricultural and livestock park based on these strategies. Furthermore, it calculates the carbon value of electricity under these strategies and evaluates the effectiveness of multi-park smart operation and maintenance. The multi-park collaborative operation mode optimizes resource allocation, achieves resource sharing and complementarity, improves overall operational efficiency, helps reduce resource waste, increases production efficiency, and lowers operation and maintenance costs. Simultaneously, the smart operation and maintenance strategies determined based on the comprehensive efficiency conversion relationship help achieve green and low-carbon development in each zero-carbon agricultural and livestock park. By reducing energy consumption and carbon emissions, it promotes resource recycling and contributes to the sustainable development of the entire industrial park. Moreover, by calculating the carbon value of electricity under the multi-park smart operation and maintenance strategy, the economic benefits of the industrial park in terms of energy utilization and carbon emissions can be more accurately assessed. This helps the park formulate more scientific energy management strategies, improve energy utilization efficiency, reduce carbon emission costs, and enhance the carbon value of the entire zero-carbon agricultural and livestock park. Furthermore, management and operation based on a multi-park intelligent operation and maintenance strategy can provide park managers with more comprehensive and accurate data support, helping them make more scientific and reasonable decisions, improving decision-making efficiency and accuracy, and promoting the steady development of the industrial park. Finally, the implementation of a multi-park collaborative operation model and intelligent operation and maintenance strategy helps promote industrial synergy and innovative development among different parks. Through resource sharing, technology exchange, and collaborative innovation, it can drive technological progress and industrial upgrading throughout the entire industrial park.

[0108] In the specific implementation process, the park's intelligent operation and maintenance model calculates the total value of organic agricultural products through the following steps:

[0109] S101: Evaluate the economic benefits of zero-carbon agricultural and livestock parks using market valuation methods. The target zero-carbon agricultural and livestock parks rely primarily on beef sales for their economic income. Therefore, data on beef product market prices, production costs, and labor inputs are collected and analyzed, and market valuation methods are used to evaluate the economic benefits of zero-carbon agricultural and livestock parks.

[0110] In this embodiment, the economic benefits of zero-carbon agricultural and livestock parks can be assessed using a market valuation method. This method, based on market economy principles and supply and demand, evaluates the economic benefits by analyzing and predicting the future economic returns and costs of the park. Specifically, it includes:

[0111] 1. Define the assessment objectives and scope.

[0112] Determine the specific content and boundaries of the zero-carbon agricultural and livestock park to be assessed, including the park's land, facilities, technology, and products.

[0113] 2. Collect market data

[0114] Collect market data related to the industrial park, including market demand, prices, and competition for agricultural and livestock products. This data can be obtained through market research, industry reports, and government statistics.

[0115] 3. Analyze the economic benefits of the park.

[0116] Based on collected market data, analyze the potential future economic benefits of the park. This includes sales revenue from agricultural products, livestock products, and carbon emission trading revenue (if applicable). The impact of changes in market demand and price fluctuations on revenue will also be considered.

[0117] 4. Assess the costs of the park

[0118] Assess the park's operating costs, including land lease fees, facility construction costs, operating costs, and technology research and development costs. These costs can be estimated based on actual conditions and take into account potential future changes.

[0119] 5. Conduct an economic benefit analysis.

[0120] The economic benefits of the park are calculated by comparing its economic gains with its costs. This can be measured using indicators such as profit margin and return on investment. Simultaneously, sensitivity analysis is conducted to assess the impact of changes in different factors (such as market demand, prices, and policies) on economic benefits.

[0121] S102: Evaluate the social benefits of zero-carbon agricultural and livestock parks through questionnaires, key interviews and / or market research; understand the impact of the construction of zero-carbon agricultural and livestock parks and the improvement of beef products on local communities and residents through various methods such as questionnaires, key interviews and market research, and evaluate the social benefits of zero-carbon agricultural and livestock parks.

[0122] In this embodiment, to assess the social benefits of zero-carbon agricultural and livestock parks, various methods such as questionnaires, key interviews, and / or market research can be combined to collect and analyze data from multiple perspectives, thereby comprehensively evaluating the parks' contributions and impacts on society. Specifically, this includes:

[0123] 1. Design the questionnaire

[0124] First, design a questionnaire for zero-carbon agricultural and livestock industrial parks. The questionnaire can include aspects such as the park's environmental impact, its role in boosting the local economy, changes in residents' quality of life, and job creation. The questionnaire should ensure objectivity and neutrality to obtain accurate and valid data.

[0125] 2. Conduct key interviews

[0126] In addition to questionnaires, targeted interviews can be conducted. Interviewees can be selected from representatives of businesses, residents, and government officials within the park to gain a deeper understanding of their views and feelings regarding the park's social benefits. Interviews can uncover issues more thoroughly and reveal details that might have been overlooked in the questionnaires.

[0127] 3. Conduct market research

[0128] Market research is a crucial tool for assessing the social benefits of zero-carbon agricultural and livestock industrial parks. By collecting information on market demand, prices, and sales channels for products within the park, it's possible to analyze the park's contribution to local economic restructuring and industrial upgrading. Simultaneously, it allows for understanding the park's impact on local employment, tax revenue, and other aspects.

[0129] 4. Data Analysis and Interpretation

[0130] After collecting questionnaire, interview, and survey data, data analysis was conducted. Through statistical and comparative methods, the social benefits of the park in terms of environmental protection, economic development, and social employment were evaluated.

[0131] S103: Analyze the carbon sequestration and oxygen release capacity of zero-carbon agricultural and pastoral parks using the substitution cost method, and evaluate the ecological benefits of zero-carbon agricultural and pastoral parks;

[0132] In this embodiment, the alternative cost method is a commonly used approach to assess ecological benefits. It is based on the assumption of how much cost is required to achieve the same function or benefits as a given ecosystem service. In the context of zero-carbon agricultural and livestock parks, the alternative cost method can be used to assess the ecological benefits brought about by their carbon sequestration and oxygen release capabilities. Specifically, it includes:

[0133] 1. Determine carbon sequestration and oxygen release capacity

[0134] First, it is necessary to determine the carbon sequestration and oxygen release capacity of the zero-carbon agricultural and livestock park. This can be estimated by monitoring factors such as vegetation cover, soil carbon content, and agricultural activities within the park. Carbon sequestration can be estimated by reducing carbon emissions, while oxygen release can be estimated by monitoring the photosynthesis of vegetation.

[0135] 2. Calculate the replacement cost

[0136] Next, calculate the replacement costs required to achieve the same carbon sequestration and oxygen release capacity as a zero-carbon agricultural and livestock park. This includes the costs of investing in other carbon reduction projects or activities such as afforestation. These costs can be determined through market research and estimation.

[0137] 3. Compare cost-benefit ratio

[0138] This study compares the carbon sequestration and oxygen release capacity of zero-carbon agricultural and livestock parks with their substitution costs to analyze cost-effectiveness. If the cost of a zero-carbon agricultural and livestock park is lower than the substitution cost, then its ecological benefits are greater. This indicates that through the construction and management of zero-carbon agricultural and livestock parks, more efficient carbon emission reduction and oxygen release can be achieved.

[0139] 4. Assess environmental value

[0140] In addition to cost-benefit analysis, the environmental value of zero-carbon agricultural and livestock parks can be further assessed. This includes their role in mitigating climate change, protecting biodiversity, and protecting soil and water resources. These values ​​can be estimated through expert evaluation and market research.

[0141] S104: Calculate the negative ecological side effects of zero-carbon agricultural and livestock parks using the market value method; it is necessary to consider the environmental pollution caused by carbon emissions, agricultural film residues, pesticide and fertilizer use during the production process of zero-carbon agricultural and livestock parks.

[0142] In this embodiment, the market value method is used to calculate the negative ecological side effects of the zero-carbon agricultural and livestock park. This requires assessing the potential negative environmental impacts during the park's operation and converting these impacts into corresponding economic losses. The calculation steps are as follows:

[0143] 1. Identify ecological side effects

[0144] First, it is necessary to identify the potential ecological side effects of operating a zero-carbon agricultural and livestock park. These side effects may include soil erosion, water pollution, and biodiversity loss. Ensure that all potential ecological problems are listed in detail.

[0145] 2. Quantifying the negative impact

[0146] For each ecological side effect, its negative impact on the environment and ecosystem needs to be quantified. This may involve assessing the area affected, the number of affected species, the degree of pollution, and other factors.

[0147] 3. Estimate economic losses

[0148] Next, the quantified ecological side effects will be translated into corresponding economic losses. This can be done in the following ways:

[0149] Direct market value method: If the negative impact can directly lead to a loss of market value (such as reduced crop yields, reduced fishery resources, etc.), these losses can be directly estimated.

[0150] Alternative cost approach: If ecological side effects lead to the loss of certain ecosystem services, the cost required to restore these services can be estimated.

[0151] Expert assessment method: For ecological side effects that are difficult to quantify directly, experts in relevant fields can be invited to conduct assessments and provide estimates of economic losses.

[0152] 4. Calculate the total negative benefits

[0153] The total negative ecological impact of the zero-carbon agricultural and livestock park is obtained by summing up the economic losses caused by each ecological side effect.

[0154] S105: The economic, social, ecological, and negative ecological side effects of zero-carbon agricultural and livestock parks are weighted and calculated to obtain the total value of the corresponding ecological agricultural products.

[0155] Specifically, the total value of organic agricultural products is determined using the following formula:

[0156] GEP=(k1·EMVP+k2·ERSV+k3·EESV+k4·ECSV)-k5·ESEV;

[0157] In the formula: GEP represents the total value of ecological agricultural products; EMVP represents the economic benefits of zero-carbon agricultural and livestock parks; ERSV represents the ecological support product benefits and ecological culture product benefits in the social benefits of zero-carbon agricultural and livestock parks; ECSV represents the environmental benefits of zero-carbon agricultural and livestock parks; ESEV represents the negative ecological side effects of zero-carbon agricultural and livestock parks; k1, k2, k3, k4, and k5 represent the weights of EMVP, ERSV, EESV, ECSV, and ESEV, respectively, and the weights of each parameter can be set according to actual needs.

[0158] In the specific implementation process, the flowchart of the energy flow-carbon flow analysis model for agricultural and pastoral parks is as follows: Figure 2As shown in the diagram, firstly, the correlation between energy utilization and carbon emissions is explored by comprehensively modeling carbon and energy flows. This involves identifying relevant factors in the energy-carbon flow model, including collecting data on energy input, flow, and output within the park, and incorporating carbon emission data from relevant subsystems and processes. The relationships between energy input, flow, and output within the park are analyzed, examining the connections between energy consumption and efficiency, and carbon emission characteristics. By analyzing relevant data and relationships, key factors influencing the park's low-carbon operation are identified. These key factors may include the main sources of energy consumption, the main sources of carbon emissions, and energy utilization efficiency. Then, in establishing the energy-carbon flow analysis model, a primary energy-processing-conversion-energy consumption terminal approach is adopted. This method separates energy and carbon emissions into different stages to better understand the energy flow process and the carbon emission generation mechanism. Subsequently, the energy conversion process is embedded, integrating carbon emission calculations with the energy conversion process into the energy-carbon flow analysis model. By considering carbon emissions during the energy conversion process, the carbon emission load of energy utilization can be assessed more accurately. Furthermore, a decoupling analysis of the energy flow-carbon flow model is conducted, including energy conversion analysis: a detailed analysis of the energy conversion process, such as energy processing, conversion, and transportation. By analyzing the energy loss and carbon emission characteristics of each stage, the impact of energy conversion on overall energy utilization and carbon emissions can be determined; and carbon emission calculation analysis: using accurate carbon emission calculation methods, the carbon emissions during the energy conversion process within the park are calculated. This includes carbon emission data for each stage and the accumulation of carbon emissions during energy conversion; finally, energy flow-carbon flow is analyzed, tracking and evaluating energy flow-carbon flow at different stages to comprehensively understand the overall energy flow characteristics and the overall carbon emission situation. Integrating energy flow and carbon flow data for comprehensive analysis explores the correlation between carbon emissions and energy utilization; through carbon-energy coupling modeling, decoupling methods, and decoupling analysis processes, the relationship between energy utilization and carbon emissions within agricultural and pastoral parks can be understood more accurately, providing a scientific basis and decision support for the low-carbon operation and sustainable development of the parks.

[0159] The energy-carbon flow analysis model calculates carbon emissions using the following formula:

[0160] E i =∑(T) in ×δ in );

[0161] E=∑(E i ×ω i );

[0162] In the formula: E i T represents the emission amount of the i-th greenhouse gas; in δ represents the amount of the i-th greenhouse gas emitted from the n-th source; inThe emission factor represents the greenhouse gas emissions per unit of activity from a single emission source; E represents total carbon emissions from agriculture; ω i This represents the global warming potential of the i-th greenhouse gas.

[0163] The energy flow-carbon flow analysis model calculates energy consumption using the following energy consumption model;

[0164] Energy consumption model:

[0165] 1) Energy consumption model of plant tissue culture

[0166]

[0167] In the formula: E tc The total energy consumption required for the plant tissue culture process is represented by: μ; the plant growth coefficient is represented by: x; the start time of supplemental lighting is represented by: n; the total number of plants is represented by: z; and the total duration is represented by: E. l E represents the energy consumption of a single plant in terms of light. th This represents the energy consumption per unit time for temperature and humidity control.

[0168]

[0169] In the formula: E f E represents the total energy consumption required for the aeroponic process of the plant group; w This indicates the energy consumption of a single plant during spraying;

[0170] 2) Energy consumption model for animal husbandry

[0171]

[0172] In the formula: E fc α represents the total energy consumption required for animal growth; α is the animal growth coefficient.

[0173] 3) Energy consumption model for auxiliary lighting

[0174]

[0175] 4) Energy consumption model of physical pest control equipment

[0176]

[0177] 5) Energy consumption model of nitrogen fixation equipment

[0178]

[0179] 6) Energy consumption model of evaporative air coolers

[0180]

[0181] 7) Energy consumption model of electric boilers

[0182]

[0183] 8) Energy consumption model of the dividing machine equipment

[0184]

[0185] 9) Energy consumption model of organic fertilizer equipment

[0186]

[0187] 10) Energy consumption model for wastewater treatment equipment

[0188]

[0189] In the formula: E LED Total energy consumption for auxiliary lighting equipment; P LED For auxiliary lighting equipment power; E PC Total energy consumption of physical pest control equipment; P PC Power of physical pest control equipment; E NF Total energy consumption of nitrogen fixation equipment; P NF Power of nitrogen fixation equipment; E ER Total energy consumption of the evaporative cooler; P ER η is the power of the air cooler; E is the efficiency. EB Total energy consumption of electric boiler; P EB E represents the power of the electric boiler. CM Total energy consumption of the shunt device; P CM Power of the shunt device; E EC Total energy consumption of organic fertilizer equipment; P EC Power of organic fertilizer equipment; E STE Total energy consumption of wastewater treatment equipment; P STE Power of the wastewater treatment equipment.

[0190] In the specific implementation process, the comprehensive efficiency conversion relationship includes the ratio of energy consumption to the total value of ecological agricultural products, i.e., energy efficiency, and the ratio of carbon emissions to the total value of ecological agricultural products, i.e., carbon efficiency.

[0191] In practice, the multi-park collaborative operation model includes a resource sharing model and an industrial chain cooperation model.

[0192] When the sum of energy efficiency of all zero-carbon agricultural and livestock parks is greater than the sum of carbon efficiency, the multi-park collaborative operation mode is determined to be a resource-sharing mode; when the sum of energy efficiency of all zero-carbon agricultural and livestock parks is less than or equal to the sum of carbon efficiency, the multi-park collaborative operation mode is determined to be a supply chain cooperation mode.

[0193] Specifically:

[0194] 1) If the multi-park collaborative operation mode is a resource-sharing mode, the corresponding multi-park smart operation and maintenance strategies include:

[0195] a. Energy sharing: Renewable energy facilities, including solar photovoltaic, wind power and / or biomass energy, are shared among various zero-carbon agricultural and pastoral parks in order to improve energy efficiency and reduce energy waste.

[0196] b. Waste resource utilization: Waste treatment facilities are shared among various zero-carbon agricultural and livestock parks, and the waste of one zero-carbon agricultural and livestock park is used as a resource for another zero-carbon agricultural and livestock park. For example, livestock and poultry manure can be used as organic fertilizer or raw material for biomass energy.

[0197] c. Water resource management: Water resource management facilities are shared among various agricultural and livestock zero-carbon parks to optimize water resource allocation and reduce water waste and pollution.

[0198] 2) If the multi-park collaborative operation mode is a supply chain cooperation mode, the corresponding multi-park smart operation and maintenance strategies include:

[0199] a. Supply chain collaboration for agricultural and livestock products: Different zero-carbon agricultural and livestock parks can form upstream and downstream cooperative relationships based on their respective resource advantages. For example, one zero-carbon agricultural and livestock park focuses on planting, while another zero-carbon agricultural and livestock park is responsible for processing and sales.

[0200] b. Technology and service sharing: Agricultural, livestock and / or agricultural product processing technologies are shared among the various zero-carbon agricultural and livestock parks, and technical support and services are provided to each other.

[0201] In the specific implementation process, a cloud-based management and control platform is built based on the multi-park smart operation and maintenance strategy. The functions of the cloud-based management and control platform include:

[0202] 1) Deploy sensors and equipment in various agricultural and livestock zero-carbon parks to achieve real-time monitoring and data collection of various agricultural and livestock production facilities and equipment; the data includes soil moisture, climate conditions, breeding environment, etc., and the equipment status can be remotely monitored and managed through Internet of Things devices.

[0203] In this embodiment, the specific needs and objectives of the agricultural and livestock industrial park are first determined, including requirements for monitoring equipment, data management, and intelligent decision-making. The overall architecture and functional modules of the cloud-based management platform are designed, defining the relationships and data flows between the modules. A database structure is designed to store the collected data and ensure its security and reliability.

[0204] 2) By leveraging big data analytics, the data generated by various zero-carbon agricultural and livestock parks is processed and analyzed to uncover the patterns and value behind the data, providing support for decision-making in these parks. This includes optimizing agricultural and livestock production processes, predicting market demand, and reducing costs through data analysis.

[0205] In this embodiment, a data processing and analysis module is developed to process, clean, and analyze the collected data to extract useful information. A data visualization module is also developed to display the analysis results in the form of charts, reports, etc., to help users intuitively understand the park's operation.

[0206] 3) Construct an intelligent control system based on artificial intelligence technology to realize intelligent control and optimization of agricultural and livestock production facilities and equipment in various zero-carbon agricultural and livestock parks; the intelligent control system realizes automated regulation to improve production efficiency and reduce energy consumption; through intelligent monitoring and control, it optimizes the park's energy consumption, including electricity and water resources; and by adopting energy-saving technologies and renewable energy, it reduces the park's energy costs, reduces carbon emissions, and achieves sustainable development.

[0207] In this embodiment, an intelligent algorithm model is developed for intelligent decision support functions such as equipment status prediction, fault diagnosis, and optimized scheduling. Combining the algorithm model with data analysis results, intelligent control and optimization of equipment are achieved, improving equipment utilization and production efficiency. System testing is conducted on the cloud-based management platform to verify the normal operation and performance of each functional module.

[0208] 4) Apply machine learning algorithms and data models to predict and prevent equipment failures in agricultural and livestock production facilities within various zero-carbon agricultural and livestock parks. This includes monitoring equipment operating status and analyzing data to detect potential equipment failures early, reducing downtime and improving equipment reliability; advocating green production concepts and promoting circular agriculture and ecological farming; and achieving efficient resource utilization and environmental protection through intelligent operation and maintenance methods, thereby promoting the sustainable development of the parks.

[0209] In this embodiment, the cloud-based management platform is deployed in the production environment to ensure its stable operation. The operations team is responsible for the platform's daily monitoring, maintenance, and updates, ensuring its continuous operation and performance optimization. User feedback is collected to continuously optimize platform functionality and user experience, ensuring the platform meets user needs.

[0210] In this embodiment, the cloud-based management and control platform is a centralized management and monitoring system based on cloud computing technology, used to achieve remote monitoring, data management, analysis, and decision support for multiple devices, systems, or parks. Through the cloud-based management and control platform, users can achieve centralized management of devices and systems distributed in different locations, improve operational efficiency, reduce costs, and support intelligent decision-making and optimization.

[0211] Cloud-based management platforms can help reduce electricity purchases in several ways, including the following:

[0212] 1. Energy Monitoring and Management: The cloud-based management platform can monitor the park's energy consumption in real time, including the use of electricity, gas, water, and other energy sources. By monitoring and analyzing energy data, abnormal energy usage or waste can be detected, allowing for timely adjustments to reduce unnecessary energy consumption and lower electricity purchases.

[0213] 2. Optimized Energy Dispatch: The cloud-based management platform can formulate reasonable energy dispatch strategies based on real-time energy data and demand forecasts. By optimizing equipment operation modes and adjusting energy supply plans, it achieves rational utilization and allocation of energy, minimizing energy consumption and reducing electricity purchase needs.

[0214] 3. Equipment Status Monitoring and Maintenance: The cloud-based management platform can monitor the operating status of equipment in the park in real time, detect equipment failures or anomalies in advance, and take preventive maintenance measures to ensure efficient and stable equipment operation. By reducing equipment failures and improving equipment utilization, energy waste can be reduced and electricity purchase demand can be lowered.

[0215] 4. Intelligent Energy Management: The cloud-based management platform, combining artificial intelligence and big data analytics, enables intelligent energy management. By learning from and analyzing historical energy data, the platform can predict future energy demand, provide intelligent energy dispatching solutions, optimize energy utilization efficiency, reduce energy consumption, and thus reduce electricity purchases.

[0216] 5. Renewable Energy Integration: The cloud-based management platform can integrate multiple energy sources, including renewable energy such as solar and wind power. Through intelligent scheduling and management, the platform can optimize the utilization of renewable energy, improve its own absorption capacity, reduce dependence on the traditional power grid, and reduce electricity purchases.

[0217] In summary, cloud-based management platforms can help parks reduce energy consumption and optimize energy efficiency through real-time monitoring, intelligent scheduling, equipment management, and renewable energy integration, thereby reducing electricity purchases, lowering energy costs, and improving the park's sustainable development level.

[0218] In the specific implementation process, the carbon value of electricity under the collaboration of multiple zero-carbon agricultural and livestock parks is evaluated through the following steps:

[0219] S501: Calculate the carbon emission reduction of each agricultural and pastoral zero-carbon park under the multi-park smart operation and maintenance strategy, and calculate the total carbon emission reduction.

[0220] S502: Convert the total reduction in carbon emissions into the corresponding value of carbon emissions through carbon market prices or internal cost estimates;

[0221] In this embodiment, the total reduction in carbon emissions is converted into corresponding carbon emission value, which can typically be achieved through two methods: one is by utilizing carbon market prices, and the other is through internal cost estimation. Both methods are based on the premise that carbon emissions have economic value and that reducing carbon emissions can bring positive environmental benefits.

[0222] Specifically:

[0223] 1) The carbon market is an environmental economic policy tool that uses market mechanisms to control and reduce greenhouse gas emissions. In the carbon market, carbon emission rights become a commodity, and their price is determined by market supply and demand. Companies can legally emit a certain amount of carbon dioxide by purchasing carbon emission rights, or they can save on the cost of purchasing carbon emission rights by reducing emissions, or they can generate revenue by selling excess carbon emission rights. Assuming a certain industrial park operates in a carbon market and reduces its carbon emissions by 1000 tons of carbon dioxide equivalent (tCO2e), and the current market carbon price is 10 yuan per ton, then the economic value gained by the company through reducing carbon emissions is 1000 tons × 10 yuan / ton = 10000 yuan.

[0224] 2) If a company is not participating in the carbon market, or wants to assess the economic value of its carbon emissions from a broader perspective, it can use internal cost estimation. This method typically involves a cost analysis of the inputs required to reduce carbon emissions, such as technology, equipment, and labor. For example, an industrial park might need to invest in more efficient energy equipment or improve production processes to reduce carbon emissions. The costs of these investments can be considered as the internal costs of reducing carbon emissions. By comparing internal costs with potential carbon market benefits, companies can assess the economic feasibility of reducing carbon emissions.

[0225] S503: Calculate the electricity output of each zero-carbon agricultural and pastoral park under the multi-park smart operation and maintenance strategy, and calculate the total electricity output.

[0226] S504: Convert the total amount of electricity output into the corresponding value of electricity output through market prices;

[0227] In this embodiment, the total electricity output is converted into the corresponding electricity output value, typically by referencing electricity market prices. The electricity market is a market where buyers and sellers trade electricity, and its prices are influenced by various factors, including supply and demand, energy type, geographical location, and seasonal demand.

[0228] In the electricity market, electricity prices are typically measured in kilowatt-hours (kWh) or megawatt-hours (MWh). Businesses can estimate the economic value of their electricity output by multiplying their total output (in kWh or MWh) by the current market price. For example, suppose a power plant generates 10,000 kWh of electricity in a month, and the current market price is 0.1 yuan per kWh. Then, the economic value this power plant gains from selling electricity would be 10,000 kWh × 0.1 yuan / kWh = 1,000 yuan.

[0229] S505: The carbon emission value and the electricity output value are added together as the carbon-electric value under the multi-park smart operation and maintenance strategy.

[0230] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit the technical solutions. Those skilled in the art should understand that any modifications or equivalent substitutions to the technical solutions of the present invention without departing from the spirit and scope of the present invention should be covered within the scope of the claims of the present invention.

Claims

1. A method for intelligent operation and maintenance of multiple parks in agricultural and pastoral industrial parks, characterized in that, include: S1: Construct a smart operation and maintenance model for each zero-carbon agricultural and livestock park to calculate the total value of ecological agricultural products; S2: Analyze the carbon-energy flow characteristics of the biological derivative chain in various agricultural and pastoral zero-carbon parks, and establish an energy-carbon flow analysis model for calculating energy consumption and carbon emissions; S3: Calculate the comprehensive efficiency conversion relationship based on the total value of ecological agricultural products, energy consumption, and carbon emissions of each zero-carbon agricultural and pastoral park; the comprehensive efficiency conversion relationship includes the ratio of energy consumption to the total value of ecological agricultural products, i.e., energy efficiency, and the ratio of carbon emissions to the total value of ecological agricultural products, i.e., carbon efficiency. S4: Determine the multi-park collaborative operation mode based on the comprehensive efficiency conversion relationship of each agricultural and pastoral zero-carbon park, and then generate the corresponding multi-park smart operation and maintenance strategy. S5: Based on the multi-park smart operation and maintenance strategy, realize the operation and maintenance and management of each agricultural and livestock zero-carbon park, then calculate the carbon value of electricity under the multi-park smart operation and maintenance strategy, and evaluate the effect of multi-park smart operation and maintenance based on the corresponding carbon value of electricity.

2. The intelligent operation and maintenance method for multiple parks in agricultural and pastoral industrial parks as described in claim 1, characterized in that: In step S1, the park's smart operation and maintenance model calculates the total value of organic agricultural products through the following steps: S101: Use market valuation methods to evaluate the economic benefits of zero-carbon agricultural and livestock parks; S102: Evaluate the social benefits of zero-carbon agricultural and livestock parks through questionnaires, key interviews and / or market research; S103: Analyze the carbon sequestration and oxygen release capacity of zero-carbon agricultural and pastoral parks using the substitution cost method, and evaluate the ecological benefits of zero-carbon agricultural and pastoral parks; S104: Calculate the negative ecological side effects of zero-carbon agricultural and livestock parks using the market value method; S105: The economic, social, ecological, and negative ecological side effects of zero-carbon agricultural and livestock parks are weighted and calculated to obtain the total value of the corresponding ecological agricultural products.

3. The intelligent operation and maintenance method for multiple parks in agricultural and pastoral industrial parks as described in claim 2, characterized in that: In step S105, the total value of organic agricultural products is calculated using the following formula: GEP=(k1·EMVP+k2·ERSV+k3·EESV+k4·ECSV)-k5·ESEV; In the formula: GEP represents the total value of ecological agricultural products; EMVP represents the economic benefits of zero-carbon agricultural and livestock parks; ERSV represents the ecological support product benefits in the social benefits of zero-carbon agricultural and livestock parks; ECSV represents the environmental benefits of zero-carbon agricultural and livestock parks; ESEV represents the negative ecological side effects of zero-carbon agricultural and livestock parks; k1, k2, k3, k4, and k5 represent the weights of EMVP, ERSV, EESV, ECSV, and ESEV, respectively.

4. The intelligent operation and maintenance method for multiple parks in agricultural and pastoral industrial parks as described in claim 1, characterized in that: The energy-carbon flow analysis model calculates carbon emissions using the following formula: E i =∑(T ij ×δ ij ); E=∑(E i ×ω i ); In the formula: E i T represents the emission amount of the i-th greenhouse gas; ij δ represents the amount of the i-th greenhouse gas emitted from the j-th source; ij The emission factor represents the greenhouse gas emissions per unit of activity from a single emission source; E represents total carbon emissions from agriculture; ω i This represents the global warming potential of the i-th greenhouse gas.

5. The intelligent operation and maintenance method for multiple parks in agricultural and pastoral industrial parks as described in claim 1, characterized in that: The energy flow-carbon flow analysis model calculates energy consumption using the following energy consumption model; Energy consumption model: 1) Energy consumption model of plant tissue culture In the formula: E tc The total energy consumption required for the plant tissue culture process is represented by: μ; the plant growth coefficient is represented by: x; the start time of supplemental lighting is represented by: n; the total number of plants is represented by: z; and the total duration is represented by: E. l E represents the energy consumption of a single plant in terms of light. th This represents the energy consumption per unit time for temperature and humidity control. In the formula: E f E represents the total energy consumption required for the aeroponic process of the plant group; w This indicates the energy consumption of a single plant for spraying; 2) Energy consumption model for animal husbandry In the formula: E fc α represents the total energy consumption required for animal growth; α is the animal growth coefficient. 3) Energy consumption model for auxiliary lighting 4) Energy consumption model of physical pest control equipment 5) Energy consumption model of nitrogen fixation equipment 6) Energy consumption model of evaporative air coolers 7) Energy consumption model of electric boilers 8) Energy consumption model of the dividing machine equipment 9) Energy consumption model of organic fertilizer equipment 10) Energy consumption model for wastewater treatment equipment In the formula: E LED Total energy consumption for auxiliary lighting equipment; P LED For auxiliary lighting equipment power; E PC Total energy consumption of physical pest control equipment; P PC Power of physical pest control equipment; E NF Total energy consumption of nitrogen fixation equipment; P NF Power of nitrogen fixation equipment; E ER Total energy consumption of the evaporative cooler; P ER η is the power of the air cooler; E is the efficiency. EB Total energy consumption of electric boiler; P EB E represents the power of the electric boiler. CM Total energy consumption of the shunt device; P CM Power of the shunt device; E EC Total energy consumption of organic fertilizer equipment; P EC Power of organic fertilizer equipment; E STE Total energy consumption of wastewater treatment equipment; P STE Power of the wastewater treatment equipment.

6. The intelligent operation and maintenance method for multiple parks in agricultural and pastoral industrial parks as described in claim 1, characterized in that: In step S4, the multi-park collaborative operation mode includes a resource sharing mode and an industrial chain cooperation mode; When the sum of energy efficiency of all zero-carbon agricultural and livestock parks is greater than the sum of carbon efficiency, the multi-park collaborative operation mode is determined to be a resource-sharing mode; when the sum of energy efficiency of all zero-carbon agricultural and livestock parks is less than or equal to the sum of carbon efficiency, the multi-park collaborative operation mode is determined to be a supply chain cooperation mode.

7. The intelligent operation and maintenance method for multiple parks in agricultural and pastoral industrial parks as described in claim 6, characterized in that: In step S4: 1) If the multi-park collaborative operation mode is a resource-sharing mode, then the corresponding multi-park smart operation and maintenance strategy includes: a. Energy sharing: Renewable energy facilities, including solar photovoltaic, wind power and / or biomass energy, are shared among various zero-carbon agricultural and livestock parks; b. Waste resource utilization: Waste treatment facilities are shared among various zero-carbon agricultural and livestock parks, and the waste of one zero-carbon agricultural and livestock park is used as a resource for another zero-carbon agricultural and livestock park. c. Water resource management: Water resource management facilities are shared among various zero-carbon agricultural and pastoral parks to optimize water resource allocation and reduce water waste and pollution; 2) If the multi-park collaborative operation mode is a supply chain cooperation mode, the corresponding multi-park smart operation and maintenance strategies include: a. Supply chain collaboration for agricultural and livestock products: Different zero-carbon agricultural and livestock parks can form cooperative relationships between upstream and downstream of the industrial chain based on their respective resource advantages; b. Technology and service sharing: Agricultural, livestock and / or agricultural product processing technologies are shared among the various zero-carbon agricultural and livestock parks, and technical support and services are provided to each other.

8. The intelligent operation and maintenance method for multiple parks in agricultural and pastoral industrial parks as described in claim 1, characterized in that: In step S4, a cloud-based management and control platform is built based on the multi-campus smart operation and maintenance strategy. The functions of the cloud-based management and control platform include: 1) Deploy sensors and equipment in each agricultural and livestock zero-carbon park to achieve real-time monitoring and data collection of various agricultural and livestock production facilities and equipment; 2) By leveraging big data analytics, we process and analyze the data generated by various zero-carbon agricultural and livestock parks, uncovering the patterns and value behind the data to support decision-making for these parks. 3) Construct an intelligent control system based on artificial intelligence technology to realize intelligent control and optimization of agricultural and livestock production facilities and equipment in various zero-carbon agricultural and livestock parks; 4) Apply machine learning algorithms and data models to predict and prevent the failure of agricultural and livestock production facilities and equipment in various zero-carbon agricultural and livestock parks.

9. The intelligent operation and maintenance method for multiple parks in agricultural and pastoral industrial parks as described in claim 1, characterized in that: In step S5, the carbon value of electricity generated through collaboration among multiple zero-carbon agricultural and livestock parks is evaluated through the following steps: S501: Calculate the carbon emission reduction of each agricultural and pastoral zero-carbon park under the multi-park smart operation and maintenance strategy, and calculate the total carbon emission reduction. S502: Convert the total reduction in carbon emissions into the corresponding value of carbon emissions through carbon market prices or internal cost estimates; S503: Calculate the electricity output of each zero-carbon agricultural and pastoral park under the multi-park smart operation and maintenance strategy, and calculate the total electricity output. S504: Convert the total amount of electricity output into the corresponding value of electricity output through market prices; S505: The carbon emission value and the electricity output value are added together as the carbon-electric value under the multi-park smart operation and maintenance strategy.

Images