CN115936953A - Carbon sink calculation method, electronic device and storage medium - Google Patents
Carbon sink calculation method, electronic device and storage medium Download PDFInfo
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Abstract
The application provides a carbon sink calculation method, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring geographic distribution data of a target area; building a visualization model of the target area based on the geographic distribution data; acquiring carbon emission data of the target area according to the visualization model; calculating a carbon sink for the target area based on the geographic distribution data and the carbon emission data. The method and the device can assist in carbon sink calculation, and improve the accuracy of carbon sink calculation.
Description
Technical Field
The present disclosure relates to the field of environmental protection technologies, and in particular, to a carbon sink calculation method, an electronic device, and a storage medium.
Background
The current carbon sink calculation method has the defects of inaccurate data source, large consumption of data processing method and manpower and material cost, diversified measurement means and the like, and the current mainstream problem of how to ensure the accuracy and the authenticity of the carbon sink data is solved.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a carbon sink calculation method, an electronic device, and a storage medium, which assist in carbon sink calculation and improve the accuracy of carbon sink calculation.
The carbon sink calculation method comprises the following steps: acquiring geographic distribution data of a target area; building a visualization model of the target area based on the geographic distribution data; acquiring carbon emission data of the target area according to the visualization model; calculating a carbon sink for the target area based on the geographic distribution data and the carbon emission data.
The acquiring the geographical distribution data and the carbon emission data of the target area comprises: and acquiring the geographic distribution data acquired by a laser radar system installed in the unmanned aerial vehicle.
Optionally, the geographic distribution data of the target area includes: the three-dimensional terrain, forest structure parameters and leaf area index of the target area.
Optionally, the constructing a visualization model of the target region based on the geographic distribution data includes: and constructing the visual model of the target area by utilizing a three-dimensional modeling technology based on the three-dimensional terrain, the forest structure parameters and the leaf area index.
Optionally, the obtaining carbon emission data of the target region according to the visualization model comprises: and controlling an unmanned aerial vehicle to run according to the navigation of the visual model, and detecting the carbon emission data of a plurality of time nodes of the target area by utilizing a carbon dioxide detector installed in the unmanned aerial vehicle.
Optionally, the calculating a carbon sink for the target area based on the geographic distribution data and the carbon emission data comprises: and inputting the geographical distribution data into a preset carbon storage calculation model to obtain the carbon storage of the target area, and calculating the carbon sink by using the carbon storage and the carbon emission data.
Optionally, the calculating the carbon sink for the carbon emissions using the carbon reserves comprises: let the carbon sink be directly proportional to the carbon reserve and inversely proportional to the carbon emission data.
Optionally, the method further comprises: and displaying the carbon sink of the target area in the visualization model.
The computer-readable storage medium stores at least one instruction that, when executed by a processor, implements the carbon sink calculation method or the carbon sink calculation method.
The electronic device includes a memory and at least one processor, the memory having stored therein at least one instruction that, when executed by the at least one processor, implements the carbon sink calculation method.
Compared with the prior art, the carbon sink calculation method provided by the embodiment of the application acquires the geographic distribution data of the target area; building a visualization model of the target area based on the geographic distribution data; acquiring carbon emission data of the target area according to the visualization model; and calculating the carbon sink of the target area based on the geographic distribution data and the carbon emission data, so that the carbon sink calculation can be assisted, and the carbon sink calculation precision is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a carbon sink calculation method according to an embodiment of the present disclosure.
Fig. 2 is an architecture diagram of an electronic device provided in an embodiment of the present application.
The following detailed description will further illustrate the present application in conjunction with the above-described figures.
Detailed Description
In order that the above objects, features and advantages of the present application can be more clearly understood, a detailed description of the present application will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth to provide a thorough understanding of the present application, and the described embodiments are merely a subset of the embodiments of the present application and are not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
Fig. 1 is a flow chart of a carbon sink calculation method according to a preferred embodiment of the present application.
In this embodiment, the carbon sink calculation method may be applied to an electronic device (e.g., the electronic device 3 shown in fig. 2), where the electronic device is in communication connection with a drone (e.g., the drone 4 shown in fig. 2), for example, the electronic device may be connected through communication means such as radio, wi-Fi, and a 3G/4G/5G network provided by a mobile operator. For vehicles that require carbon sink calculation, the functions of carbon sink calculation provided by the method of the embodiments of the present application may be integrated directly on the electronic device or run on the electronic device in the form of a Software Development Kit (SDK).
As shown in fig. 1, the carbon sink calculation method specifically includes the following steps, and the order of the steps in the flowchart may be changed and some steps may be omitted according to different requirements.
S1, acquiring geographic distribution data of a target area.
In one embodiment, the target area represents an area determined by the user to be subjected to carbon sink calculation, for example, the target area is a forest land designated by the user.
In one embodiment, the obtaining the geographical distribution data and the carbon emission data of the target area comprises: acquiring the geographic distribution data collected by a laser radar (LiDAR) system installed in an unmanned aerial vehicle. Wherein the geographic distribution data of the target area comprises: three-dimensional topography, forest structure parameters, leaf Area Index (LAI) of the target Area.
In one embodiment, to obtain the geographic distribution data, the electronic device may control the drone to fly in a traversal of the target area in response to a user's control operation (e.g., control the drone to descend, ascend) or input instruction. Unmanned aerial vehicle still includes camera device, camera device is used for shooing unmanned aerial vehicle's surrounding environment image, will the environment image transmit extremely electronic equipment. The electronic device further comprises a display device which can be used for presenting the environment image for a user, so that the user can determine the control operation to be executed according to the environment image.
Wherein the drone represents an Unmanned Aerial Vehicle (Drones). The geographic distribution data is acquired by a LiDAR system installed in the drone during flight and the electronic device acquires the geographic distribution data from the LiDAR system.
The LiDAR system is an active remote sensing technology used to acquire parameters such as high-resolution three-dimensional terrain, forest structure parameters, leaf area index, etc. of the target area (e.g., woodland) on multiple spatio-temporal scales. The working principle of the laser radar system comprises the following steps: the information of the size of the reflection energy of the surface of the target ground object, the amplitude, the frequency, the phase and the like of a reflection spectrum is analyzed by measuring the propagation distance of the laser emitted by the sensor between the sensor and the target object, so that the target object is accurately positioned, identified and detected.
In one embodiment, the LiDAR system may acquire a Digital Elevation Model (DEM) of the ground through vegetation canopies, obtain three-dimensional terrain such as a DEM through modeling of LiDAR data, and specifically, include, but are not limited to, height, slope, etc. of the ground of the target area.
In one embodiment, the forest structure parameters include, but are not limited to, tree height, crown width, breast diameter, under-branch height of each tree of the target area, canopy density, etc. of all trees.
In one embodiment, the leaf area index LAI represents the sum of the surface areas of all leaves per unit area of the ground of the target area, and can also be defined as the sum of the areas of all leaves projected downward per unit area, and is used for reflecting the forest canopy photosynthesis capacity and colony growth condition of the target area. The LiDAR system can obtain the LAI with any scale and any position, so that the error caused by the selection of the photographing position by a fisheye lens method is avoided, and the continuous change of the LAI in the vertical direction can be obtained.
And S2, building a visualization model of the target area based on the geographic distribution data.
In one embodiment, said building a visualization model of said target area based on said geo-distribution data comprises: and constructing the visual model of the target area by utilizing a three-dimensional modeling technology based on the three-dimensional terrain, the forest structure parameters and the leaf area index.
In one embodiment, the three-dimensional modeling technique may be implemented by means of techniques existing in the art, and after obtaining the three-dimensional terrain, the forest structure parameters, and the leaf area index, the electronic device constructs the visualization model using three-dimensional production software (e.g., maya).
In one embodiment, the visualization model may also be constructed directly by the lidar system, and the specific principles include: the scanner of the laser radar system emits laser to a target, the distance between a corresponding measured point and the scanner is calculated according to the time difference between the emission and the reception of the laser, then the three-dimensional coordinate of the measured point is calculated in real time according to the stepping angular distance values in the horizontal direction and the vertical direction, the echo intensity value of the laser signal reflected by the ground object is recorded and stored, the data is displayed in the form of an image, the three-dimensional imaging can be realized, and the three-dimensional geometric model and the surface reflection characteristic of the measured object are provided.
And S3, acquiring carbon emission data of the target area according to the visualization model.
In one embodiment, the obtaining carbon emission data of the target region according to the visualization model comprises: and controlling an unmanned aerial vehicle to run according to the navigation of the visual model, and detecting the carbon emission data of a plurality of time nodes of the target area by using a carbon dioxide detector installed in the unmanned aerial vehicle.
In one embodiment, referring to the description in step S1, the drone may fly to avoid obstacles according to the visualization model, for example, fly to avoid trees in a forest land. The drone detects the carbon emission data of the target area while in flight using a carbon dioxide probe.
Specifically, in order to determine the change condition of the carbon emission data in the target area, the unmanned aerial vehicle may be controlled to perform multiple navigation runs in the target area, so as to obtain the carbon emission data corresponding to multiple time nodes through detection. For example, the drone is controlled to navigate in the target area once every other day for a total of five times, obtaining daily carbon emission data for five days.
And S4, calculating the carbon sink of the target area based on the geographic distribution data and the carbon emission data.
In one embodiment, said calculating a carbon sink for said target area based on said geographic distribution data and said carbon emission data comprises: and inputting the geographical distribution data into a preset carbon storage calculation model to obtain the carbon storage of the target area, and calculating the carbon sink by using the carbon storage and the carbon emission data.
In one embodiment, the carbon storage calculation model calculates the carbon storage using the following formula: carbon reserve = carbon reserve of the above ground portion + carbon reserve of the underground portion + carbon reserve of the soil. In other embodiments, the carbon reserves may also take into account the carbon reserves of litter, dead wood.
In one embodiment, the carbon reserve of the aerial part = arbor (tree with a breast diameter greater than or equal to 5 cm) + shrub (tree with a breast diameter less than 5 cm) + herb, and can be calculated according to the biomass expansion factor method. The underground portion has a carbon reserve = underground biomass by carbon content, wherein the underground biomass = aboveground biomass by rhizome ratio, and the aboveground organisms include the trees, shrubs, grasses, and the like. The carbon reserve of the soil may be obtained by multiplying the carbon reserve of the soil per unit area of the target area by the total area of the target area based on a sample survey method.
In one embodiment, said calculating said carbon sink for said carbon emissions using said carbon reserves comprises: let the carbon sink be directly proportional to the carbon reserve and inversely proportional to the carbon emission data. In particular, the carbon sink may be calculated from an existing forestry carbon sink measurement protocol, such as the forestry carbon sink measurement monitoring technical protocol (DB 11/T953-2013).
In one embodiment, the method further comprises: and displaying the carbon sink of the target area in the visualization model. For example, the carbon sink is displayed in the visualization model using three-dimensional columns, wherein different kinds of carbon sinks can be displayed using columns of different colors, for example, brown for soil, and the height of the columns is proportional to the size of the carbon sink.
In one embodiment, the carbon sink calculation method provided by the application acquires geographic distribution data of a target area; building a visualization model of the target area based on the geographic distribution data; acquiring carbon emission data of the target area according to the visualization model; and calculating the carbon sink of the target area based on the geographic distribution data and the carbon emission data, so that the carbon sink calculation can be assisted, and the carbon sink calculation precision is improved.
The carbon sink calculation method of the present application is described in detail in the foregoing fig. 1, and functional modules of a software system for implementing the carbon sink calculation method and a hardware device architecture for implementing the carbon sink calculation method are described below with reference to fig. 2.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
Fig. 2 is a schematic structural diagram of an electronic device according to a preferred embodiment of the present application.
In the preferred embodiment of the present application, the electronic device 3 comprises a memory 31 and at least one processor 32. It will be appreciated by those skilled in the art that the configuration of the electronic device shown in fig. 2 does not constitute a limitation of the embodiments of the present application, and may be a bus-type configuration or a star-type configuration, and that the electronic device 3 may include more or less hardware or software than those shown, or a different arrangement of components.
In some embodiments, the electronic device 3 includes a terminal capable of automatically performing numerical calculation and/or information processing according to instructions set in advance or stored in advance, and the hardware includes but is not limited to a microprocessor, an application specific integrated circuit, a programmable gate array, a digital processor, an embedded device, and the like.
It should be noted that the electronic device 3 is only an example, and other existing or future electronic products, such as those that can be adapted to the present application, should also be included in the scope of protection of the present application, and are included by reference.
In some embodiments, the memory 31 is used to store program codes and various data. For example, the memory 31 may be used to store the carbon sink computing system 30 installed in the electronic device 3, and implement high-speed and automatic access to programs or data during the operation of the electronic device 3. The Memory 31 includes a Read-Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable rewritable Read-Only Memory (Electrically-Erasable Programmable Read-Only Memory (EEPROM)), an optical Read-Only disk (CD-ROM) or other optical disk Memory, a magnetic disk Memory, a tape Memory, or any other computer-readable storage medium capable of carrying or storing data.
In some embodiments, the at least one processor 32 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The at least one processor 32 is a Control Unit (Control Unit) of the electronic device 3, connects various components of the electronic device 3 by using various interfaces and lines, and executes various functions of the electronic device 3 and processes data, such as the function of the carbon sink calculation shown in fig. 1, by running or executing programs or modules stored in the memory 31 and calling data stored in the memory 31.
In some embodiments, the carbon sink computing system 30 is run in the electronic device 3. The carbon sink computing system 30 may comprise a plurality of functional modules comprised of program code segments. Program code for various program segments in the carbon sequestration computing system 30 may be stored in a memory 31 of the electronic device 3 and executed by at least one processor 32 to implement the functionality of the carbon sequestration computation shown in fig. 1.
In this embodiment, the carbon sink computing system 30 may be divided into a plurality of functional modules according to the functions performed by the carbon sink computing system. A module as referred to herein is a series of computer program segments capable of being executed by at least one processor and capable of performing a fixed function and is stored in a memory.
Although not shown, the electronic device 3 may further include a power supply (such as a battery) for supplying power to various components, and preferably, the power supply may be logically connected to the at least one processor 32 through a power management device, so as to implement functions of managing charging, discharging, and power consumption through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure testing circuitry, power converters or inverters, power status indicators, and the like. The electronic device 3 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The integrated unit implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions for causing an electronic device (which may be a server, a personal computer, etc.) or a processor (processor) to execute parts of the methods according to the embodiments of the present application.
The memory 31 has program code stored therein, and the at least one processor 32 can call the program code stored in the memory 31 to perform related functions. The program code stored in the memory 31 may be executed by the at least one processor 32 to perform the functions of the various modules for carbon sink calculation purposes.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or that the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not to denote any particular order.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present application and not for limiting, and although the present application is described in detail with reference to the above preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present application without departing from the spirit and scope of the technical solutions of the present application.
Claims (10)
1. A carbon sink calculation method applied to electronic equipment is characterized by comprising the following steps:
acquiring geographic distribution data of a target area;
building a visualization model of the target area based on the geographic distribution data;
acquiring carbon emission data of the target area according to the visualization model;
calculating a carbon sink for the target area based on the geographic distribution data and the carbon emission data.
2. The method of claim 1, wherein the obtaining the geographic distribution data and the carbon emission data of the target area comprises: and acquiring the geographic distribution data acquired by a laser radar system installed in the unmanned aerial vehicle.
3. The method of claim 2, wherein the geographic distribution data for the target area comprises: the three-dimensional terrain, forest structure parameters and leaf area index of the target area.
4. The method of claim 3, wherein the constructing a visualization model of the target area based on the geo-distribution data comprises:
and constructing the visual model of the target area by utilizing a three-dimensional modeling technology based on the three-dimensional terrain, the forest structure parameters and the leaf area index.
5. The method of claim 1, wherein the obtaining carbon emission data for the target region from the visualization model comprises:
and controlling an unmanned aerial vehicle to run according to the navigation of the visual model, and detecting the carbon emission data of a plurality of time nodes of the target area by utilizing a carbon dioxide detector installed in the unmanned aerial vehicle.
6. The method of claim 1, wherein the calculating the carbon sink for the target area based on the geographic distribution data and the carbon emission data comprises:
and inputting the geographical distribution data into a preset carbon storage calculation model to obtain the carbon storage of the target area, and calculating the carbon sink by using the carbon storage and the carbon emission data.
7. The carbon sink calculation method according to claim 6, wherein the calculating the carbon sink for the carbon emission amount using the carbon storage amount includes: let the carbon sink be directly proportional to the carbon reserve and inversely proportional to the carbon emission data.
8. The method of claim 1, further comprising: and displaying the carbon sink of the target area in the visualization model.
9. A computer-readable storage medium storing at least one instruction which, when executed by a processor, performs a method of carbon sink calculation according to any one of claims 1 to 8.
10. An electronic device comprising a memory and at least one processor, the memory having stored therein at least one instruction that when executed by the at least one processor implements a carbon sink calculation method as claimed in any one of claims 1 to 8.
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Address after: 518000, Building B, Qianhai Economic and Trade Center Phase I, China Merchants Bureau, No. 151 Zimao West Street, Nanshan Street, Qianhai Shenzhen-Hong Kong Cooperation Zone, Shenzhen, Guangdong Province, China 2704A-2709 Applicant after: Shenzhen Qianhai Runcheng Jinjing Double Carbon Technology Co.,Ltd. Address before: 1302, Block A, Zhaobang Technology Center, No. 4433 Dongbin Road, Liwan Community, Nanshan Street, Nanshan District, Shenzhen, Guangdong Province, 518000 Applicant before: Shenzhen Runcheng Jinjing Technology Service Co.,Ltd. |