Carbon sequestration measuring and calculating method and system for increasing carbon sequestration and sequestration increasing effect

Abstract

The invention discloses a carbon sink measuring and calculating method and system for improving the carbon sequestration and sink increasing effect, the carbon sink measuring and calculating method is used for a garden area, and the carbon sink measuring and calculating method comprises the following steps: establishing a three-dimensional garden model of the garden area; dividing the three-dimensional garden model into a plurality of area modules; acquiring environment data of each area module; matching at least one vegetation type for a target area module; according to the environment data and the vegetation carbon sink data, obtaining a planting mode of each vegetation type in the target area module; and generating a vegetation model in the target area module according to the planting mode, and calculating carbon sink amount data of the planting mode. According to the method, the carbon sequestration and sink increasing efficiency of the garden area can be improved, meanwhile, modeling output is conducted in a visual mode, a user can conveniently maintain the garden, and the carbon sink efficiency and the garden beautifying effect are both considered.

Description

Technical Field

[0001] The present invention relates to a carbon sink calculation method and system for increasing the carbon fixation and sink effects. Background Art

[0002] Carbon sinks are processes that absorb and store carbon from the atmosphere, usually through plants, trees, and oceans. These natural or artificial carbon sinks can help reduce carbon concentrations in the atmosphere and help mitigate climate change. Carbon sinks play an important role in addressing climate change and reducing greenhouse gas emissions.

[0003] The benefits of carbon sequestration include:

[0004] 1. Mitigation of climate change: Carbon sinks help reduce the concentration of carbon dioxide in the atmosphere, thereby reducing greenhouse gas emissions and helping to mitigate the speed and extent of climate change.

[0005] 2. Ecological protection: Carbon sink projects such as forest, wetland and ocean protection can promote the maintenance of biodiversity and the restoration of ecosystems, which helps protect the natural environment.

[0006] 3. Renewable energy: Some carbon sink projects can also be combined with renewable energy, such as biomass energy and biofuels, to provide support for the development of clean energy.

[0007] 4. Economic development: Carbon sequestration projects can drive the development of related industries, create jobs, promote economic growth, and provide economic and social benefits to the community.

[0008] Carbon sinks are of great significance and benefit to climate change, ecological protection, renewable energy and economic development.

[0009] The existing garden areas have the defects of small carbon sequestration capacity and low level of intelligence. Summary of the invention

[0010] The technical problem to be solved by the present invention is to overcome the defects of small carbon sink amount and low intelligence level in garden areas in the prior art, and to provide a carbon sink measurement method and system for increasing carbon sink efficiency in garden areas, which can improve the carbon sink efficiency and output in a visual way, and facilitate users to maintain the garden, taking into account both carbon sink efficiency and garden beautification effect.

[0011] The present invention solves the above technical problems through the following technical solutions:

[0012] A carbon sink calculation method for increasing carbon fixation and sink effects, characterized in that the carbon sink calculation method is used in a garden area, and the carbon sink calculation method includes:

[0013] Establishing a three-dimensional garden model of the garden area;

[0014] Dividing the three-dimensional garden model into a number of area modules;

[0015] Obtain environmental data for each regional module;

[0016] For a target area module, matching at least one vegetation type according to environmental data and vegetation carbon sink data;

[0017] Obtain the planting method of each vegetation type in the target area module;

[0018] A vegetation model is generated in the target area module according to the planting method, and carbon sequestration data of the planting method is calculated.

[0019] Preferably, the carbon sink calculation method includes:

[0020] For a target area module, selecting a number of vegetation types matching the target area module;

[0021] Obtaining planting methods that match vegetation types based on environmental data;

[0022] Use artificial intelligence technology to obtain the optimal solution for planting methods;

[0023] A vegetation model is generated in the target area module according to the optimal solution of the planting method, and the carbon sequestration data of the planting method is calculated.

[0024] Preferably, the formula for calculating the carbon sequestration data of the planting method includes:

[0025]

[0026] Among them, E is the carbon sink, X i is the adjustment coefficient of each environmental data, a i is the proportion of the adjustment coefficient, Y j is the carbon sequestration capacity of each vegetation, b j is the planting quantity, and f(Z) is the adjustment amount of the planting method.

[0027] Preferably, the adjustment amount of the planting method is obtained according to at least one of the following parameters:

[0028] Vegetation type, age, planting density, vegetation combination, and soil quality.

[0029] Preferably, the method of obtaining the optimal solution of the planting method by using artificial intelligence technology includes:

[0030] Environmental data and the carbon sequestration capacity of vegetation are used as inputs to artificial intelligence technology to obtain the optimal solution for planting methods.

[0031] Preferably, the carbon sink calculation method includes:

[0032] Obtain a remote sensing inversion image set;

[0033] For each image in the remote sensing inversion image set, the image area is divided according to the vegetation type;

[0034] For each image area, image sub-areas are divided according to carbon sequestration amount;

[0035] Use the image information of remote sensing inversion images to obtain environmental data for each image sub-area;

[0036] The artificial intelligence technology is trained using the image sub-region, the carbon sink amount corresponding to the image sub-region, and the environmental data corresponding to the image sub-region as training samples.

[0037] Preferably, the carbon sink calculation method includes:

[0038] Rendering the vegetation model in the target area module;

[0039] Output the target area module with vegetation model.

[0040] Preferably, the carbon sink calculation method includes:

[0041] Get control instructions for vegetation models;

[0042] Adjust the position and size of the vegetation model according to the control instruction;

[0043] Calculate the carbon sequestration data of the current planting pattern in the target area module;

[0044] Output the vegetation model and carbon sequestration data of the current planting pattern in the target area module.

[0045] Preferably, for a regional module, the environmental data is environmental data of the regional module in an actual environment, and the environmental data includes at least one of the following data:

[0046] The latitude and longitude, size, daylighting, time, temperature, boundary location, and surface shape data of the regional module.

[0047] The present invention also provides a carbon sink calculation system for increasing the carbon fixation and sink effect, which is characterized in that the carbon sink calculation system is used to implement the carbon sink calculation method for increasing the carbon fixation and sink effect as described above.

[0048] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present invention.

[0049] The positive and progressive effects of the present invention are:

[0050] The present invention can improve the carbon sequestration and sink efficiency of the garden area, and at the same time, output the model in a visual manner, which is convenient for users to maintain the garden, taking into account both the carbon sink efficiency and the garden beautification effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a flow chart of the carbon sink calculation method according to Example 1 of the present invention.

[0052] Figure 2 This is another flow chart of the carbon sink calculation method of Example 1 of the present invention. DETAILED DESCRIPTION

[0053] The present invention is further described below by way of examples, but the present invention is not limited to the scope of the examples.

[0054] Example 1

[0055] This embodiment provides a carbon sink calculation system for increasing the carbon fixation and sink effect. The carbon sink calculation system includes a processor, and the processor can be a mobile terminal, a desktop computer, a laptop computer, or a server with computing power.

[0056] The processor is used to:

[0057] A three-dimensional garden model of the garden area is established. The three-dimensional garden model can be obtained based on a two-dimensional engineering drawing or drawn based on actual measurements. The actual measurement methods include laser radar scanning, total station point modeling, etc.

[0058] The three-dimensional garden model is divided into a number of area modules, and the area modules can be divided according to walking paths, or the boundaries of grasslands and forest areas.

[0059] Acquire environmental data of each regional module, which may include the longitude and latitude of the regional module, i.e., the location of the regional module; size, i.e., the area of ​​the regional module; daylighting, which may be estimated by longitude and latitude and altitude; time, such as the season; temperature; boundary positioning, and surface shape data of the regional module, which may acquire the terrain and topography of the regional module, and may further deduce information such as daylighting and air circulation.

[0060] For a target area module, at least one vegetation type is matched, and the vegetation type can be matched according to environmental data and vegetation carbon sink data;

[0061] The planting method of each vegetation type in the target area module is obtained based on environmental data and vegetation carbon sink data. The planting method needs to consider parameters such as vegetation type, age, planting density, vegetation combination, soil quality, etc. for imaging carbon sink effects.

[0062] A vegetation model is generated in the target area module according to the planting method, and carbon sequestration data of the planting method is calculated.

[0063] This embodiment can obtain a visualized planting pattern model, so that designers can view the actual gardening effect while improving carbon sequestration, which is convenient for construction and rectification.

[0064] The specific effect can be that after dragging the position of a certain vegetation and modifying the planting method model, the change in carbon sink amount is displayed at the same time, thereby achieving the function of visual adjustment.

[0065] Furthermore, the processor is used for:

[0066] For a target area module, selecting a number of vegetation types matching the target area module;

[0067] Obtaining planting methods that match vegetation types based on environmental data;

[0068] Use artificial intelligence technology to obtain the optimal solution for planting methods;

[0069] A vegetation model is generated in the target area module according to the optimal solution of the planting method, and the carbon sequestration data of the planting method is calculated.

[0070] Specifically, the formula for calculating the carbon sequestration data of the planting method includes:

[0071]

[0072] Among them, E is the carbon sink, X i is the adjustment coefficient of each environmental data, a i is the proportion of the adjustment coefficient, Y j is the carbon sequestration capacity value of each vegetation. In this embodiment, the carbon sequestration capacity value of one vegetation is used to represent it. j is the planting quantity, and f(Z) is the adjustment amount of the planting method.

[0073] The adjustment amount of the planting method is obtained according to at least one of the following parameters:

[0074] Vegetation type, age, planting density, vegetation combination pattern, soil quality;

[0075] Z can represent a variety of parameters that affect carbon sequestration.

[0076] Furthermore, the processor is used for:

[0077] Environmental data and the carbon sequestration capacity of vegetation are used as inputs to artificial intelligence technology to obtain the optimal solution for planting methods.

[0078] Specifically, the processor is used for:

[0079] Obtain a remote sensing inversion image set;

[0080] For each image in the remote sensing inversion image set, the image area is divided according to the vegetation type;

[0081] For each image area, image sub-areas are divided according to carbon sequestration amount;

[0082] Use the image information of remote sensing inversion images to obtain environmental data for each image sub-area;

[0083] The artificial intelligence technology is trained using the image sub-region, the carbon sink amount corresponding to the image sub-region, and the environmental data corresponding to the image sub-region as training samples.

[0084] The processor is further configured to:

[0085] Rendering the vegetation model in the target area module;

[0086] Output the target area module with vegetation model.

[0087] The processor is further configured to:

[0088] Get control instructions for vegetation models;

[0089] Adjust the position and size of the vegetation model according to the control instruction;

[0090] Calculate the carbon sequestration data of the current planting pattern in the target area module;

[0091] Output the vegetation model and carbon sequestration data of the current planting pattern in the target area module.

[0092] For a regional module, the environmental data is the environmental data of the regional module in the actual environment, and the environmental data includes at least one of the following data:

[0093] The latitude and longitude, size, daylighting, time, temperature, boundary location, and surface shape data of the regional module.

[0094] See also Figure 1 , using the above-mentioned carbon sink calculation system for increasing carbon sequestration and sink effects, this embodiment also provides a carbon sink calculation method for increasing carbon sequestration and sink effects, the carbon sink calculation method is used in a garden area, and the carbon sink calculation method includes:

[0095] Step 100, establishing a three-dimensional garden model of the garden area;

[0096] Step 101, dividing the three-dimensional garden model into a plurality of area modules;

[0097] Step 102, obtaining environmental data of each regional module;

[0098] Step 103: For a target area module, match at least one vegetation type according to environmental data and vegetation carbon sink data;

[0099] Step 104, obtaining the planting method of each vegetation type in the target area module;

[0100] Step 105: Generate a vegetation model in the target area module according to the planting method, and calculate the carbon sequestration data of the planting method.

[0101] See also Figure 2 In the carbon sink calculation method, after step 102, the following steps are further included:

[0102] Step 200: for a target area module, select a number of vegetation types matching the target area module;

[0103] Step 201: Acquire a planting method of a matching vegetation type according to environmental data;

[0104] Step 202: using artificial intelligence technology to obtain the optimal solution for the planting method;

[0105] Step 203: Generate a vegetation model in the target area module according to the optimal solution of the planting method, and calculate the carbon sequestration data of the planting method.

[0106] The formula for calculating the carbon sequestration data of the planting method includes:

[0107]

[0108] Among them, E is the carbon sink, X i is the adjustment coefficient of each environmental data, a i is the proportion of the adjustment coefficient, Y j is the carbon sequestration capacity of each vegetation, b j is the planting quantity, and f(Z) is the adjustment amount of the planting method.

[0109] The adjustment amount of the planting method is obtained according to at least one of the following parameters:

[0110] Vegetation type, age, planting density, vegetation combination, and soil quality.

[0111] Wherein, the step of obtaining the optimal solution of the planting method by using artificial intelligence technology (the step 202) includes:

[0112] Environmental data and the carbon sequestration capacity of vegetation are used as inputs to artificial intelligence technology to obtain the optimal solution for planting methods.

[0113] The training of the artificial intelligence technology includes:

[0114] Obtain a remote sensing inversion image set;

[0115] For each image in the remote sensing inversion image set, the image area is divided according to the vegetation type;

[0116] For each image area, image sub-areas are divided according to carbon sequestration amount;

[0117] Use the image information of remote sensing inversion images to obtain environmental data for each image sub-area;

[0118] The artificial intelligence technology is trained using the image sub-region, the carbon sink amount corresponding to the image sub-region, and the environmental data corresponding to the image sub-region as training samples.

[0119] Furthermore, the carbon sink calculation method includes:

[0120] Rendering the vegetation model in the target area module;

[0121] Output the target area module with vegetation model.

[0122] Specifically, the carbon sink calculation method includes:

[0123] Get control instructions for vegetation models;

[0124] Adjust the position and size of the vegetation model according to the control instruction;

[0125] Calculate the carbon sequestration data of the current planting pattern in the target area module;

[0126] Output the vegetation model and carbon sequestration data of the current planting pattern in the target area module.

[0127] For a regional module, the environmental data is the environmental data of the regional module in the actual environment, and the environmental data includes at least one of the following data:

[0128] The latitude and longitude, size, daylighting, time, temperature, boundary location, and surface shape data of the regional module.

[0129] Although the specific embodiments of the present invention are described above, those skilled in the art should understand that these are only examples, and the protection scope of the present invention is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but these changes and modifications all fall within the protection scope of the present invention.

Claims

1. A carbon sink calculation method for increasing carbon sequestration and sink effects, characterized in that: The carbon sink calculation method is used in a garden area, and the carbon sink calculation method includes: Establishing a three-dimensional garden model of the garden area; Dividing the three-dimensional garden model into a number of area modules; Obtain environmental data for each regional module; For a target area module, matching at least one vegetation type; Obtain the planting method of each vegetation type in the target area module based on environmental data and vegetation carbon sink data; A vegetation model is generated in the target area module according to the planting method, and carbon sequestration data of the planting method is calculated.

2. The carbon sink calculation method for increasing carbon sequestration and sink effects according to claim 1, characterized in that: The carbon sink calculation method includes: For a target area module, selecting a number of vegetation types matching the target area module; Obtaining planting methods that match vegetation types based on environmental data; Use artificial intelligence technology to obtain the optimal solution for planting methods; A vegetation model is generated in the target area module according to the optimal solution of the planting method, and the carbon sequestration data of the planting method is calculated.

3. The carbon sink calculation method for increasing carbon sequestration and sink effect according to claim 2, characterized in that: The formula for calculating the carbon sequestration data of the planting method includes: Among them, E is the carbon sink, X i is the adjustment coefficient of each environmental data, a i is the proportion of the adjustment coefficient, Y j is the carbon sequestration capacity of each vegetation, b j is the planting quantity, and f(Z) is the adjustment amount of the planting method.

4. The carbon sink calculation method for increasing carbon sequestration and sink effects according to claim 3, characterized in that: The adjustment amount of the planting method is obtained according to at least one of the following parameters: Vegetation type, age, planting density, vegetation combination, and soil quality.

5. The carbon sink calculation method for increasing carbon sequestration and sink effect according to claim 2, characterized in that: The method of using artificial intelligence technology to obtain the optimal solution for the planting method includes: Environmental data and the carbon sequestration capacity of vegetation are used as inputs to artificial intelligence technology to obtain the optimal solution for planting methods.

6. The carbon sink calculation method for increasing carbon sequestration and sink effects according to claim 5, characterized in that: The carbon sink calculation method includes: Obtain a remote sensing inversion image set; For each image in the remote sensing inversion image set, the image area is divided according to the vegetation type; For each image area, image sub-areas are divided according to carbon sequestration amount; Use the image information of remote sensing inversion images to obtain environmental data for each image sub-area; The artificial intelligence technology is trained using the image sub-region, the carbon sink amount corresponding to the image sub-region, and the environmental data corresponding to the image sub-region as training samples.

7. The carbon sink calculation method for increasing carbon sequestration and sink effects according to claim 1, characterized in that: The carbon sink calculation method includes: Rendering the vegetation model in the target area module; Output the target area module with vegetation model.

8. The carbon sink calculation method for increasing carbon sequestration and sink effects according to claim 1, characterized in that: The carbon sink calculation method includes: Get control instructions for vegetation models; Adjust the position and size of the vegetation model according to the control instruction; Calculate the carbon sequestration data of the current planting pattern in the target area module; Output the vegetation model and carbon sequestration data of the current planting pattern in the target area module.

9. The carbon sink calculation method for increasing carbon sequestration and sink effects according to claim 1, characterized in that: For a regional module, the environmental data is the environmental data of the regional module in the actual environment, and the environmental data includes at least one of the following data: The latitude and longitude, size, daylighting, time, temperature, boundary location, and surface shape data of the regional module.

10. A carbon sink calculation system for increasing carbon sequestration and sink effects, characterized in that: The carbon sink calculation system is used to implement the carbon sink calculation method for increasing the carbon fixation and sink effect as described in any one of claims 1 to 9.

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