A method for resource utilization of agricultural waste based on EOD model

Abstract

The invention discloses a method for resource utilization of agricultural waste based on an EOD model, which specifically relates to the technical field of resource utilization, and specifically includes determining that random stacking and improper disposal of straw are environmental problems, and resource utilization of straw is a related industry. Based on the spatial distribution of cultivated land resources in the county, the location of a straw collection and storage center is determined in consideration of cultivated land and traffic location information, a production plant for preparing methanol from straw is built near the collection and storage center, straw off the field is uniformly bundled and collected and transported to the collection and storage center, the straw is aired and dried at the collection and storage center to reach a dry state, the dried straw is transported to a raw material yard of a methanol production plant, and green methanol is produced through processes such as crushing, gasification, desulfurization and decarbonization, gas compression, and methanol synthesis. The invention solves the harm to the environment caused by random stacking and direct incineration of straw, realizes the internalization of external economic efficiency of straw management, and provides a new model and a new path for resource utilization of agricultural waste.

Description

Technical Field

[0001] The present invention relates to the technical field of resource utilization, and more specifically, to a method for resource utilization of agricultural waste based on an EOD model. Background Art

[0002] Based on the EOD model, we first identify the random dumping and improper treatment of agricultural waste as ecological and environmental problems, and take the resource utilization of agricultural waste as the industrial content. The two are deeply integrated, and the industry income feeds back to the overall project investment, so that the project can achieve financial self-balancing.

[0003] In the later stage, a market player will implement the two as a whole. The implementing player will air and dry the straw at the agricultural straw collection and storage point and then transport it to the agricultural organic waste methanol production plant. After the straw is crushed by the equipment, it is mixed with oxygen in proportion under high temperature conditions. After gasification, purification, synthesis, air separation, synthesis, distillation and other processes, it is made into green methanol. This effectively solves the problem of environmental pollution caused by random stacking and direct incineration of straw, realizes the high-value utilization of straw, and promotes the development of a circular economy. However, in the process of collecting and storing straw, it is not easy to choose a suitable straw collection and storage center to ensure the convenience of straw transportation. In addition, in the process of processing straw to prepare green methanol, there is a tendency for too much or too little straw to occur, which cannot guarantee the effective utilization of straw resources.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method for resource utilization of agricultural waste based on the EOD model to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for resource utilization of agricultural waste based on the EOD model comprises the following steps:

[0008] S1: Take the resource utilization of agricultural waste as an EOD-related industry, plan and implement the project according to the EOD project implementation process, and integrate ecological environment governance and related industries as a whole project for implementation;

[0009] S2: The implementing entity shall evaluate the rationality of the location of the straw collection and storage center based on the spatial distribution of cultivated land resources in the county and by considering the cultivated land location information and traffic location information;

[0010] S3: Build a production plant for producing methanol from agricultural organic waste near the straw collection and storage center, and equip it with methanol production equipment;

[0011] S4: The straws off the field are uniformly bundled and collected and transported to the straw collection and storage center, where they are air-dried and dried to a dry state, and then transported to the raw material yard of the methanol production plant;

[0012] S5: Obtain the amount of straw transported to the straw collection and storage center and the amount of straw transported to the raw material yard of the methanol production plant, conduct a comprehensive analysis based on the current straw collection amount information and the expected future straw collection amount information, and determine whether manual straw drying is required;

[0013] S6: The straw is transported to relevant production equipment to produce green methanol through processes such as crushing, gasification, desulfurization and decarbonization, gas compression, and methanol synthesis.

[0014] In a preferred implementation, the project is planned and implemented according to the EOD project implementation process, including:

[0015] Based on the EOD model, the project organization is determined, with the random stacking and improper treatment of various types of agricultural waste as the environmental issues of the EOD project, and the resource utilization of back-end organic waste as the project-related industry;

[0016] The organizing entity shall conduct an overall analysis of the project, prepare an implementation plan, conduct market testing, organize evaluation and demonstration, and determine the project implementation entity through a competitive manner. After the project contract is signed, the implementing entity shall carry out related work such as overall project establishment, fund raising, financing matching, construction and operation, to ensure that ecological environmental governance and related industries are implemented as an integrated project by one market entity, with the investment and benefit entities being consistent.

[0017] In a preferred embodiment, considering the location information of cultivated land includes:

[0018] The cultivated land location information is represented by the cultivated land coverage coefficient and the cultivated land connectivity coefficient. The logic for obtaining the cultivated land coverage coefficient is as follows: obtaining the total number of pixels within the radiation range of the straw collection and storage center, obtaining the number of pixels identified as cultivated land within the radiation range of the straw collection and storage center, and calculating the cultivated land coverage coefficient by comparing the total number of pixels within the radiation range of the straw collection and storage center with the number of pixels identified as cultivated land within the radiation range of the straw collection and storage center.

[0019] The logic for obtaining the cultivated land connectivity coefficient is as follows: determine the pixel position coordinates of the straw collection and storage center, obtain the pixel coordinates of different cultivated lands, use Euclidean distance to calculate the distance from the theoretical cultivated land to the straw collection and storage center, obtain the distance from the actual cultivated land to the straw collection and storage center, and calculate the cultivated land connectivity coefficient by comparing the distance from the theoretical cultivated land to the straw collection and storage center with the distance from the actual cultivated land to the straw collection and storage center.

[0020] In a preferred embodiment, traffic location information is considered, including:

[0021] The traffic location information is represented by a road density deviation coefficient, and the logic for obtaining the road density deviation coefficient is as follows: obtain the number of main roads, secondary roads and branches within the radiation range of the actual straw collection and storage center, and set a threshold value for the number of main roads, secondary roads and branches within the radiation range of the straw collection and storage center under an ideal state; compare the threshold value for the number of main roads, secondary roads and branches under an ideal state with the actual number of main roads, secondary roads and branches to obtain the deviation in the number of main roads, secondary roads and branches; compare the deviation in the number of main roads, secondary roads and branches with the threshold value for the number of main roads, secondary roads and branches within the radiation range of the straw collection and storage center under an ideal state to calculate the road density deviation coefficient.

[0022] In a preferred embodiment, evaluating the rationality of the location of the straw storage center includes:

[0023] Through comprehensive analysis of the location information and traffic location information, the cultivated land coverage coefficient, cultivated land connectivity coefficient and road density deviation coefficient are used to establish a data analysis model to generate a location evaluation coefficient.

[0024] Set a location evaluation coefficient threshold, and compare the location evaluation coefficient with the location evaluation coefficient threshold. If the location evaluation coefficient is greater than the location evaluation coefficient threshold, it means that the straw collection and storage center can be set at the selected location. If the location evaluation coefficient is less than the location evaluation coefficient threshold, it means that the location of the straw collection and storage center is poor and needs to be reselected.

[0025] In a preferred embodiment, the current straw collection amount information includes:

[0026] The current straw collection amount information is represented by the straw accumulation excess coefficient. The acquisition logic of the straw accumulation excess coefficient is as follows: according to the historical records of straw collection by the straw collection and storage center, the weight of straw collected at different monitoring points within the monitoring interval is determined, and the weight change of newly added straw at different time points is obtained;

[0027] The linear regression analysis tool is used to fit the data of monitoring point time and added straw weight to obtain the functional relationship between time and added straw weight;

[0028] Obtain the weight of straw output to the methanol production plant at different monitoring points within the monitoring interval, and obtain the functional relationship between time and output straw weight;

[0029] Set the threshold for the weight of newly added straw and the threshold for the weight of the first output straw, compare the functional relationship between time and the weight of newly added straw with the threshold for the weight of newly added straw, determine the time period when abnormal weight of newly added straw occurs, and compare the functional relationship between time and the weight of output straw with the threshold for the first output straw weight, determine the time period when normal weight of output straw occurs, and calculate the excess coefficient of straw accumulation by the formula.

[0030] In a preferred embodiment, the estimated future straw collection amount information includes:

[0031] The information on the expected amount of straw collected in the future is represented by a straw concealment safety factor, and the logic for obtaining the straw concealment safety factor is as follows: setting a second output straw weight threshold, obtaining meteorological characteristic data recorded by a straw collection and storage center and corresponding data on the weight of completed dried straw, wherein the meteorological characteristic data include average humidity, average temperature, and average wind speed, constructing a neural network model, using the meteorological characteristic data in the historical data of the straw storage center as input data for model training, and using the weight of completed dried straw as output data for model training, inputting meteorological characteristics of a future monitoring period at a meteorological station into the trained neural network model, obtaining predicted weight of completed dried straw, comparing the predicted weight of completed dried straw with the second output straw weight threshold, and calculating the straw concealment safety factor.

[0032] In a preferred embodiment, determining whether manual drying of the straw is required includes:

[0033] A mathematical analysis model is established for the excess coefficient of straw accumulation and the safety coefficient of straw concealment to generate a drying assessment coefficient.

[0034] A drying assessment coefficient threshold is set, and the drying assessment coefficient is compared with the drying assessment coefficient threshold. If the drying assessment coefficient is greater than the drying assessment coefficient threshold, the straw is dried by artificial airing; if the drying assessment coefficient is less than the drying assessment coefficient threshold, the straw is dried by natural airing.

[0035] Technical effects and advantages of the present invention:

[0036] 1. The present invention is based on the EOD model. The ecological environment-oriented development (EOD) model is an important exploration to implement the "two mountains" concept and promote the realization of the value of ecological products. It is an innovative practice to achieve the integration and symbiosis of protection and development. It plays an important role in promoting the development of green industries and strengthening ecological and environmental protection investment and financing. The core essence of EOD is to take ecology as the basis, improve quality and efficiency; deep integration, mutual conditions; value-added feedback, project balance; market operation, integrated implementation; this provides a new model and new path for the resource utilization of agricultural waste;

[0037] 2. The present invention evaluates the location of the straw collection and storage center through comprehensive analysis of the location information and traffic location information to ensure the rationality of the location and traffic convenience, which helps to find the most suitable location for building the straw collection and storage center, thereby improving the utilization efficiency of straw resources and the convenience of transportation;

[0038] 3. The present invention ensures that the amount of straw in the straw collection and storage center does not exceed a certain amount by comprehensively considering the current straw collection amount information and the expected future straw collection amount information of the straw collection and storage center, which helps the straw collection and storage center to control the current and future straw collection amount within an appropriate range, avoids the situation of too much or too little straw, and ensures the effective utilization of straw resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0040] Figure 1 The present invention is a schematic flow chart of a method for resource utilization of agricultural waste based on the EOD model. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Example 1

[0043] The present invention provides Figure 1 The flowchart of a method for resource utilization of agricultural waste based on the EOD model shown in FIG. 1 specifically includes the following steps:

[0044] S1: Take the resource utilization of agricultural waste as an EOD-related industry, plan and implement the project according to the EOD project implementation process, and integrate ecological environment governance and related industries as a whole project for implementation;

[0045] S2: The implementing entity shall evaluate the rationality of the location of the straw collection and storage center based on the spatial distribution of cultivated land resources in the county and by considering the cultivated land location information and traffic location information;

[0046] S3: Build a production plant for producing methanol from agricultural organic waste near the straw collection and storage center, and equip it with methanol production equipment;

[0047] S4: The straws off the field are uniformly bundled and collected and transported to the straw collection and storage center, where they are air-dried and dried to a dry state, and then transported to the raw material yard of the methanol production plant;

[0048] S5: Obtain the amount of straw transported to the straw collection and storage center and the amount of straw transported to the raw material yard of the methanol production plant, conduct a comprehensive analysis based on the current straw collection amount information and the expected future straw collection amount information, and determine whether manual straw drying is required;

[0049] S6: The straw is transported to relevant production equipment to produce green methanol through processes such as crushing, gasification, desulfurization and decarbonization, gas compression, and methanol synthesis.

[0050] The project is planned and implemented according to the EOD project implementation process, including:

[0051] First, in the project planning stage, the project organization should be determined first, and the organization should establish a working mechanism and organize relevant departments to carry out project planning, with the random dumping of agricultural waste, which has a greater impact on the environment, as the key environmental issue, and the utilization of agricultural waste resources as the related industry. The content of ecological environment governance meets the principles of public welfare, accuracy, feasibility, and certainty, and the related industries meet the conditions of large development space, good market expectations, good project returns, and strong feedback capabilities. The content of ecological environment governance and related industries is deeply integrated, and an upstream and downstream industrial chain relationship is formed, which is mutually conditional.

[0052] Second, during the design phase, we should conduct a balance analysis of project funds, clarify the project construction content and operation plan, and continuously optimize and adjust the content to ensure that the project funds can be self-balanced without relying on capital investment. According to the project content and relevant requirements, we should prepare an implementation plan and conduct market testing. During the preparation process, we should continuously improve the quality of the implementation plan. After the plan is completed, we should organize an evaluation and demonstration.

[0053] The third is the subject determination stage. The project implementation subject should be determined through a competitive approach and meet the requirements of relevant laws, regulations and normative documents. After the project implementation subject is determined in accordance with laws and regulations, the project organization and implementation subject shall sign the EOD project contract.

[0054] Fourth, the project implementation stage. The project implementation entity shall carry out the overall project establishment of the EOD project in accordance with the relevant provisions of the approval or filing of enterprise investment projects, and then carry out the project implementation process such as fund raising, financing matching, investment construction, and operation management in accordance with laws and regulations. The implementation entity shall ensure that ecological environment governance and related industries are implemented as an integrated project.

[0055] Fifth, during the evaluation and supervision stage, the project organizers and implementers should strengthen project evaluation, promptly rectify problems, and analyze and summarize the results. During the implementation process, all participants should strictly observe integrity and self-discipline, disclose relevant information in a timely manner, and consciously accept supervision and inspection of the project by relevant departments.

[0056] Based on the spatial distribution of cultivated land resources in the county, by using remote sensing technology or geographic information system (GIS), the spatial distribution data of cultivated land resources in the county are obtained, showing the distribution of each cultivated land, and the spatial distribution data of cultivated land resources in the county are presented in the form of pixels. Each pixel represents a piece of land and is classified as cultivated land or non-cultivated land;

[0057] It should be noted that the classification of cultivated land and non-cultivated land can be achieved through the characteristics of remote sensing images and land object classification methods. Usually, the pixel classification method is used to assign each pixel (pixel) in the remote sensing image to a different category. In the embodiment, the cultivated land is defaulted to cultivated land planted with straw.

[0058] All cultivated land is represented in the form of pixels, and all cultivated land pixel points in the area near the straw collection and storage center are statistically counted. For each pixel point, it is determined whether it belongs to the cultivated land category. If so, the count is increased by one. Based on the calculated number of cultivated land pixel points, the distribution of cultivated land near the collection and storage center is analyzed to determine the location information of cultivated land around the straw collection and storage center.

[0059] The radiation range of a straw collection and storage center is set, which affects the cultivated land within a certain range around it. The cultivated land within the radiation range of the straw collection and storage center is regarded as the service scope of the center. The radiation range of a straw collection and storage center is usually set by professional staff, mainly considering the convenience and cost-effectiveness of straw transportation.

[0060] The straw collection and storage center needs to ensure that it covers enough arable land, mainly for the following reasons:

[0061] One of the main functions of the straw collection and storage center is to collect and store straw for subsequent resource utilization, such as biomass energy production or soil improvement. If the collection and storage center cannot cover enough arable land, it will not be able to ensure a sufficient source of straw, resulting in the collection and storage center's operation being insufficient to meet production needs;

[0062] Straw is a potential resource that can be used to produce biomass energy and make organic fertilizer. If the area of ​​cultivated land covered by the straw collection and storage center is small, the resource utilization efficiency of the straw will be limited, resulting in some straw being unable to be effectively utilized, causing a waste of resources.

[0063] If the area of ​​cultivated land covered is sufficient, the transportation cost of straw will be relatively low because the distance is short and the transportation efficiency is high. However, if the area of ​​cultivated land covered by the collection and storage center is limited, the straw may need to be transported over long distances, which increases the transportation cost.

[0064] When setting up a straw collection and storage center, it is also necessary to consider the traffic location information of the straw collection and storage center to ensure that the straw transportation is more convenient and that the biomass energy can be conveniently transported after the straw is subsequently converted into biomass energy. In particular, when considering transporting agricultural waste from different regions to the straw collection and storage center, it is necessary to consider the traffic convenience of the straw collection and storage center;

[0065] The cultivated land location information is represented by the cultivated land coverage coefficient and the cultivated land connectivity coefficient. The acquisition logic of the cultivated land coverage coefficient is as follows: obtain the total number of pixel points within the radiation range of the straw collection and storage center, and mark the total number of pixel points within the radiation range of the straw collection and storage center as: XS all , obtain the number of pixels identified as cultivated land within the radiation range of the straw storage center, and mark the number of pixels identified as cultivated land as: XS gd The cultivated land coverage coefficient is calculated by comparing the total number of pixel points within the radiation range of the straw collection and storage center with the number of pixel points identified as cultivated land within the radiation range of the straw collection and storage center. The calculation formula of the cultivated land coverage coefficient is: Among them, FG gd is the cultivated land coverage coefficient.

[0066] The larger the cultivated land coverage coefficient is, the higher the proportion of cultivated land within the straw collection and storage center to the total area is. Therefore, more straw may be produced. The collection and storage center is more likely to obtain sufficient straw supply in such areas, straw collection is more convenient, and it means that agricultural activities in the area are more active and the straw supply is relatively stable.

[0067] The logic for obtaining the connectivity coefficient of cultivated land is as follows: determine the pixel position coordinates of the straw collection and storage center, obtain the pixel coordinates of different cultivated lands, and use the Euclidean distance to calculate the distance from the theoretical cultivated land to the straw collection and storage center. The calculation formula is: Among them, JL ll is the sum of the distances from the pixel points of the cultivated land to the pixel points of the straw storage center within the radiation range of the straw storage center, ω is the scale of the map in the pixel coordinate system, i = 1, 2, 3, ..., I, I is a positive integer, i is the number of the pixel point of the cultivated land, x i is the horizontal coordinate of the pixel point of the ith cultivated land, x z is the horizontal coordinate of the pixel point at the straw storage center, y i is the vertical coordinate of the pixel point of the i-th cultivated land, y z The vertical coordinate of the pixel point at the straw storage center;

[0068] Get the distance from the actual cultivated land to the straw storage center, and mark the distance from the actual cultivated land to the straw storage center as: JL sj By comparing the distance from theoretical cultivated land to the straw storage center with the distance from actual cultivated land to the straw storage center, the cultivated land connectivity coefficient is calculated. The calculation formula of the cultivated land connectivity coefficient is: Among them, LT gd is the cultivated land connectivity coefficient;

[0069] It should be noted that in actual situations, it is almost impossible for cultivated land to be directly connected to a straw collection and storage center. Especially when there are rivers, hillsides, canyons and other terrains that cannot be directly crossed within the radiation range of the straw collection and storage center, it is necessary to take a detour to transport the straw to the straw collection and storage center. Therefore, the actual distance from the cultivated land to the straw collection and storage center needs to be evaluated on-site by professional staff.

[0070] The larger the cultivated land connectivity coefficient, the more convenient the transportation between cultivated lands, the more convenient the collection and transportation of agricultural products such as straw, and the less restricted the cultivated land is by geographical space.

[0071] The traffic location information is represented by the road density deviation coefficient. The logic for obtaining the road density deviation coefficient is as follows: obtain the number of main roads, secondary roads and branches within the radiation range of the actual straw collection and storage center, and set the number threshold of the main roads, secondary roads and branches within the radiation range of the straw collection and storage center under ideal conditions. The number threshold of the main roads, secondary roads and branches within the radiation range of the straw collection and storage center under ideal conditions is marked as: ZG sl , CG sl , ZL sl By comparing the threshold of the number of main roads, secondary roads and branches in the ideal state with the actual number of main roads, secondary roads and branches, the number deviation of main roads, secondary roads and branches is obtained. The number deviation of main roads, secondary roads and branches is compared with the threshold of the number of main roads, secondary roads and branches within the radiation range of the straw collection and storage center in the ideal state, and the road density deviation coefficient is calculated. The calculation formula of the road density deviation coefficient is: Among them, DL pc is the road density deviation coefficient, ZG pc is the number deviation of the main roads, CG pc is the number deviation of secondary roads, ZL pc is the number deviation of branches.

[0072] The smaller the road density deviation coefficient, the denser the transportation network and the more diversified the transportation routes, which means that there are more transportation options for transporting agricultural waste and agricultural waste from more directions can be transported more conveniently.

[0073] Through comprehensive analysis of the location information and traffic location information, the cultivated land coverage coefficient, cultivated land connectivity coefficient and road density deviation coefficient are used to establish a data analysis model to generate a location evaluation coefficient. The calculation formula of the location evaluation coefficient is: Among them, PG wz is the position evaluation coefficient, α 1 , α 2 , α 3 is the proportional coefficient of cultivated land coverage coefficient, cultivated land connectivity coefficient and road density deviation coefficient, α 1 , α 2 , α 3 Greater than 0.

[0074] It can be seen from the formula that the larger the cultivated land coverage coefficient and the cultivated land connectivity coefficient and the smaller the road density deviation coefficient, the larger the location evaluation coefficient is, which means the location of the straw collection and storage center is more suitable; the smaller the cultivated land coverage coefficient and the cultivated land connectivity coefficient and the larger the road density deviation coefficient is, the smaller the location evaluation coefficient is, which means the location of the straw collection and storage center is more inappropriate.

[0075] Set a location evaluation coefficient threshold, and compare the location evaluation coefficient with the location evaluation coefficient threshold. If the location evaluation coefficient is greater than the location evaluation coefficient threshold, it means that the straw collection and storage center can be set at the selected location. If the location evaluation coefficient is less than the location evaluation coefficient threshold, it means that the location of the straw collection and storage center is poor and needs to be reselected.

[0076] This embodiment evaluates the location of the straw collection and storage center through a comprehensive analysis of the location information and traffic location information to ensure the rationality of the location and traffic convenience, which helps to find the most suitable location for building the straw collection and storage center, thereby improving the utilization efficiency of straw resources and the convenience of transportation.

[0077] Example 2

[0078] The above embodiment obtains a suitable location for building a straw collection and storage center, builds an agricultural organic waste methanol production plant near the straw collection and storage center, transports the dry straw from the straw collection and storage center to the methanol plant, and produces green methanol through a variety of process flows.

[0079] A methanol production plant for agricultural organic waste will be built near the straw collection and storage center. The equipment required for the methanol plant includes a gasification device for straw particles, a black ash water treatment device, a carbon dioxide compression device, a methanol synthesis reactor and other equipment.

[0080] The straw off the field is uniformly baled, collected and transported to the straw collection and storage center, where it is uniformly dried in the sun. The drying methods include natural drying and artificial drying. Because the methanol plant needs to use dry straw as raw material, the straw collection and storage center needs to comprehensively consider the straw processing rate and the straw collection rate to determine the drying method to be used.

[0081] Among them, the advantages of natural drying include saving energy and cost, but it is easily affected by weather factors, resulting in a slower drying process. When the methanol plant processes straw at a faster rate, there is a tendency for supply to exceed demand. The advantages of artificial drying include faster drying speed and no impact from weather, but it increases costs and consumes a certain amount of energy.

[0082] Therefore, by conducting a comprehensive analysis of the amount of straw transported to the straw collection and storage center and the amount of straw transported to the raw material yard of the methanol production plant, we can obtain information on the current straw collection volume and the expected future straw collection volume to determine whether manual straw drying is required.

[0083] The current straw collection amount information is represented by the straw accumulation excess coefficient. The acquisition logic of the straw accumulation excess coefficient is as follows: according to the historical records of straw collection by the straw collection and storage center, the weight of straw collected at different monitoring points within the monitoring interval is determined, and the weight change of newly added straw at different time points is obtained;

[0084] It should be noted that the monitoring interval is a longer period of time, which can reflect the changes in straw weight at different monitoring points of straw. The monitoring interval can be set to one week, one month, etc. The monitoring point is a certain moment, and a monitoring point is set after an average of a shorter period of time. The weight of the newly added straw can be reflected from the previous monitoring point to the next monitoring point.

[0085] Since the time interval of the monitoring point is fixed and the weight of the newly added straw is variable, the data of the monitoring point time and the weight of the newly added straw are fitted by using a linear regression analysis tool to obtain the functional relationship between the time and the weight of the newly added straw, and the functional relationship between the time and the weight of the newly added straw is marked as: XZ(t);

[0086] It should be noted that the weight of additional straw may vary in different time periods due to factors such as weather and traffic, so the functional relationship between monitoring point time and straw weight may fluctuate.

[0087] Using the same method as above, the weight of straw output to the methanol production plant at different monitoring points within the monitoring interval is obtained, that is, the weight of straw after the straw drying is completed, and the functional relationship between time and output straw weight is obtained, and the functional relationship between time and output straw weight is marked as: SC(t);

[0088] Set a new straw weight threshold and a first output straw weight threshold. The new straw weight threshold indicates the limit of the weight of new straw that can be received by the straw collection and storage center. When the weight of new straw at the straw collection and storage center exceeds the new straw weight threshold, straw may accumulate at the straw collection and storage center. When the output straw weight is lower than the first output straw weight threshold, straw may also accumulate at the straw collection and storage center.

[0089] The functional relationship between time and additional straw weight is compared with the additional straw weight threshold to determine the time period of abnormal additional straw weight. The functional relationship between time and output straw weight is compared with the first output straw weight threshold to determine the time period of normal output straw weight. The excess straw accumulation coefficient is calculated using the following formula: Among them, JL jg is the excess coefficient of straw accumulation, t a ~t b is the time period of abnormally increased straw weight, t c ~t d The time period for normal straw output weight;

[0090] It can be seen from the formula that the larger the excess straw accumulation coefficient is, the longer the time period of abnormally increased straw weight may be, the higher the increased straw weight may be, the shorter the time period of normal straw output weight may be, and the less the output straw weight may be. This means that the accumulated straw weight in the straw collection and storage center is gradually increasing. Because the area of ​​the straw collection and storage center is limited, it is easy to encounter the situation where straw cannot be collected. Therefore, it may be necessary to adopt artificial drying to obtain dry straw to avoid straw accumulation.

[0091] The amount of straw collected fluctuates and is not easy to predict, but by using natural drying to process the straw, the weight of the dried straw can be predicted through meteorological characteristic data. Therefore, when the predicted weight of the dried straw is lower than the second output straw weight threshold, artificial drying is needed in time to increase the output weight of the straw.

[0092] It should be noted that the second output straw weight threshold is used to evaluate the predicted completed dry straw weight. If the predicted completed dry straw weight is greater than the second output straw weight threshold, it means that the method of obtaining dry straw through natural drying in the future is better, and it may not be necessary to use artificial drying in advance to process the straw. If the predicted completed dry straw weight is less than the second output straw weight threshold, it means that the method of obtaining dry straw through natural drying in the future is poor, and it may be necessary to use artificial drying in advance to process the straw.

[0093] The expected amount of straw collected in the future is represented by the straw concealment safety factor. The logic for obtaining the straw concealment safety factor is as follows: the straw collection and storage center records meteorological characteristic data and corresponding data on the weight of the completed dried straw, wherein the meteorological characteristic data includes average humidity, average temperature, and average wind speed, and the meteorological characteristic data is marked as: t jc is the monitoring period;

[0094] It should be noted that the average humidity, average temperature and average wind speed are average values ​​within the monitoring period. The monitoring period is usually a longer period of time to fully consider the impact of meteorological conditions on straw drying. Generally speaking, the straw drying process takes a long time, especially in an environment with high humidity or low temperature. Therefore, a longer period of time is selected to monitor the meteorological characteristic data, and the meteorological characteristic data for the future monitoring period is provided by the meteorological station.

[0095] A neural network model was constructed, and the meteorological characteristic data in the historical data of the straw storage center was used as the input data for model training. The completed dry straw weight was used as the output data for model training. The meteorological characteristics of the future monitoring period in the meteorological station were input into the trained neural network model to obtain the predicted completed dry straw weight, and the predicted completed dry straw weight was marked as:

[0096] The predicted dry straw weight is compared with the second output straw weight threshold to calculate the straw concealment safety factor. The calculation formula is: Among them, YN aq is the safety factor of straw concealment, YZ 2 is the second output straw weight threshold;

[0097] The smaller the safety factor of straw concealment, the more favorable the future weather is for straw drying. It is predicted that the weight of dry straw will be heavier, indicating that natural drying may be able to meet the needs of the methanol plant and that the large amount of collected straw may not lead to the accumulation of straw in the straw storage center.

[0098] A mathematical analysis model is established for the excess straw accumulation coefficient and the straw concealment safety coefficient to generate the drying assessment coefficient. The calculation formula for the drying assessment coefficient is: Among them, PG gz is the drying evaluation coefficient, β 1 , β 2 is the proportional coefficient of excess straw accumulation coefficient and straw concealment safety coefficient, β 1 , β 2 Greater than 0.

[0099] A drying assessment coefficient threshold is set, and the drying assessment coefficient is compared with the drying assessment coefficient threshold. If the drying assessment coefficient is greater than the drying assessment coefficient threshold, the straw is dried by artificial drying to ensure that the straw does not accumulate excessively. If the drying assessment coefficient is less than the drying assessment coefficient threshold, the straw is dried by natural drying.

[0100] The dried straw is transported to relevant production equipment and green methanol is produced through processes such as crushing, gasification, desulfurization and decarbonization, gas compression, and methanol synthesis, including:

[0101] The straw needs to go through a crushing process to break it into granular materials suitable for subsequent processing, so as to increase its surface area and facilitate the subsequent gasification reaction;

[0102] The crushed straw particles undergo a gasification reaction to convert organic matter into syngas;

[0103] Synthesis gas usually contains impurities such as sulfide and carbon dioxide, which need to be desulfurized and decarbonized to ensure the effect of the subsequent methanol synthesis reaction and the life of the catalyst;

[0104] The desulfurized and decarbonized synthesis gas needs to be compressed to increase its pressure and density to facilitate the subsequent methanol synthesis reaction;

[0105] The synthesis gas undergoes a methanol synthesis reaction through the action of a catalyst to produce methanol.

[0106] Throughout the entire process, various parameters need to be strictly controlled to ensure the operating efficiency and product quality of each link. At the same time, attention should be paid to energy utilization efficiency and environmental protection, and waste emissions should be minimized to achieve green and sustainable production.

[0107] This embodiment ensures that the amount of straw in the straw collection and storage center does not exceed a certain amount by comprehensively considering the current straw collection amount information and the expected future straw collection amount information of the straw collection and storage center. This helps the straw collection and storage center to control the current and future straw collection amount within an appropriate range, avoids too much or too little straw, and ensures the effective utilization of straw resources.

[0108] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0109] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0110] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0111] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0112] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0113] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0114] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for resource utilization of agricultural waste based on EOD mode, characterized in that: The following steps are involved: S1: The random stacking and improper disposal of agricultural straw are included in the content of ecological environment governance, and the resource utilization of agricultural straw is included in the EOD related industry. The ecological environment governance and related industries are integrated and implemented as a whole project; S2: The implementing entity shall evaluate the rationality of the location of the straw collection and storage center based on the spatial distribution of cultivated land resources in the county and by considering the cultivated land location information and traffic location information; S3: Build a production plant for producing methanol from agricultural organic waste near the straw collection and storage center, and equip it with methanol production equipment; S4: The straws off the field are uniformly bundled and collected and transported to the straw collection and storage center, where they are air-dried and dried to a dry state, and then transported to the raw material yard of the methanol production plant; S5: Obtain the amount of straw transported to the straw collection and storage center and the amount of straw transported to the raw material yard of the methanol production plant, conduct a comprehensive analysis based on the current straw collection amount information and the expected future straw collection amount information, and determine whether manual straw drying is required; S6: transport the straw to relevant production equipment, and produce green methanol through crushing, gasification, desulfurization and decarbonization, gas compression, and methanol synthesis process; Consider the location information of cultivated land, including: The cultivated land location information is represented by the cultivated land coverage coefficient and the cultivated land connectivity coefficient. The logic for obtaining the cultivated land coverage coefficient is as follows: obtaining the number of pixels identified as cultivated land within the radiation range of the straw collection and storage center, and calculating the cultivated land coverage coefficient by comparing the total number of pixels within the radiation range of the straw collection and storage center with the number of pixels identified as cultivated land within the radiation range of the straw collection and storage center. The logic for obtaining the connectivity coefficient of the cultivated land is as follows: determining the pixel position coordinates of the straw collection and storage center, obtaining the pixel coordinates of different cultivated lands, using the Euclidean distance to calculate the distance from the theoretical cultivated land to the straw collection and storage center, obtaining the distance from the actual cultivated land to the straw collection and storage center, and calculating the connectivity coefficient of the cultivated land by comparing the distance from the theoretical cultivated land to the straw collection and storage center with the distance from the actual cultivated land to the straw collection and storage center; Consider traffic location information, including: The traffic location information is represented by a road density deviation coefficient, and the logic for obtaining the road density deviation coefficient is as follows: obtaining the number of main roads, secondary roads and branches within the radiation range of the actual straw collection and storage center, and setting a threshold value for the number of main roads, secondary roads and branches within the radiation range of the straw collection and storage center under an ideal state, and comparing the threshold value for the number of main roads, secondary roads and branches under an ideal state with the number of actual main roads, secondary roads and branches to obtain the deviation of the number of main roads, secondary roads and branches, and comparing the deviation of the number of main roads, secondary roads and branches with the threshold value for the number of main roads, secondary roads and branches within the radiation range of the straw collection and storage center under an ideal state, and calculating the road density deviation coefficient; Assess the rationality of the location of the straw collection and storage center, including: Through comprehensive analysis of the location information and traffic location information, the cultivated land coverage coefficient, cultivated land connectivity coefficient and road density deviation coefficient are used to establish a data analysis model to generate a location evaluation coefficient. A position evaluation coefficient threshold is set, and the position evaluation coefficient is compared with the position evaluation coefficient threshold. If the position evaluation coefficient is greater than the position evaluation coefficient threshold, it indicates that the straw collection and storage center can be set at the selected position. If the position evaluation coefficient is less than the position evaluation coefficient threshold, it indicates that the position of the straw collection and storage center is poor and a new position needs to be selected. Information on the current amount of straw collected, including: The current straw collection amount information is represented by the straw accumulation excess coefficient. The acquisition logic of the straw accumulation excess coefficient is as follows: according to the historical records of straw collection by the straw collection and storage center, the weight of straw collected at different monitoring points within the monitoring interval is determined, and the weight change of newly added straw at different time points is obtained; The linear regression analysis tool is used to fit the data of monitoring point time and added straw weight to obtain the functional relationship between time and added straw weight; Obtain the weight of straw output to the methanol production plant at different monitoring points within the monitoring interval, and obtain the functional relationship between time and output straw weight; Set the threshold for the weight of newly added straw and the threshold for the weight of the first output straw, compare the functional relationship between time and the weight of newly added straw with the threshold for the weight of newly added straw, determine the time period when abnormal weight of newly added straw occurs, and compare the functional relationship between time and the weight of output straw with the threshold for the first output straw weight, determine the time period when normal weight of output straw occurs, and calculate the excess coefficient of straw accumulation by the formula.

2. The method for resource utilization of agricultural waste based on the EOD model according to claim 1 is characterized in that: Plan and implement the project according to the EOD project implementation process, including: Based on the EOD model, the random stacking and improper disposal of regional agricultural straw are taken as the environmental issues of the EOD project, and the resource utilization of back-end organic waste is taken as the project-related industry; formulate the EOD project implementation plan, conduct market testing, organize and carry out evaluation and demonstration, and determine the project implementation entity through a competitive method. After the project contract is signed, the implementation entity will carry out the overall project establishment, fund raising, financing matching, construction and operation work for the project, ensuring that the ecological environment governance and related industries are implemented as an integrated project by a market entity, and the investment and income entities are consistent.

3. The method for resource utilization of agricultural waste based on the EOD model according to claim 1 is characterized in that: Information on the expected amount of straw collected in the future, including: The information on the expected amount of straw collected in the future is represented by a straw concealment safety factor, and the logic for obtaining the straw concealment safety factor is as follows: setting a second output straw weight threshold, obtaining meteorological characteristic data recorded by a straw collection and storage center and corresponding data on the weight of completed dried straw, wherein the meteorological characteristic data include average humidity, average temperature, and average wind speed, constructing a neural network model, using the meteorological characteristic data in the historical data of the straw storage center as input data for model training, and using the weight of completed dried straw as output data for model training, inputting meteorological characteristics of a future monitoring period at a meteorological station into the trained neural network model, obtaining predicted weight of completed dried straw, comparing the predicted weight of completed dried straw with the second output straw weight threshold, and calculating the straw concealment safety factor.

4. The method for resource utilization of agricultural waste based on the EOD model according to claim 1 is characterized in that: Determine whether manual drying of the straw is required, including: A mathematical analysis model is established for the excess coefficient of straw accumulation and the safety coefficient of straw concealment to generate a drying assessment coefficient. A drying assessment coefficient threshold is set, and the drying assessment coefficient is compared with the drying assessment coefficient threshold. If the drying assessment coefficient is greater than the drying assessment coefficient threshold, the straw is dried by artificial airing; if the drying assessment coefficient is less than the drying assessment coefficient threshold, the straw is dried by natural airing.

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