A method for calculating carbon emissions from unmanned vehicles

Abstract

The present invention discloses a method for calculating carbon emissions of unmanned vehicles, including: dividing the deployment area of ​​unmanned vehicles into several detection areas, deploying an equal number of unmanned vehicles in each detection area; obtaining the carbon emissions of each detection area by the unmanned vehicles at regular intervals; calculating the corresponding value of the carbon emissions of the unmanned vehicles in the detection area according to the carbon emissions of each detection area and the area of ​​the detection area; and reallocating the unmanned vehicles according to the corresponding value of the carbon emissions of the unmanned vehicles in each detection area, and adjusting the allocation according to the position of each detection area and the carbon emissions of each detection area. The present invention can deploy unmanned vehicles according to the specific conditions of the detection area, improve the accuracy of carbon emission calculation and the rationality of resource allocation, so as to solve the problem of unbalanced detection equipment allocation and inaccurate calculation in the existing carbon emission calculation process.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emissions, and in particular to a method for calculating carbon emissions of an unmanned vehicle. Background Art

[0002] Greenhouse gas emissions cause the greenhouse effect and raise global temperatures. While the earth absorbs solar radiation, it also radiates heat to outer space, and its thermal radiation is mainly long-wave infrared rays of 3 to 30 μm. When such long-wave radiation enters the atmosphere, it is easily absorbed by certain gas molecules with larger molecular weight and stronger polarity. Since the energy of infrared rays is relatively low and insufficient to cause the breaking of molecular bonds, no chemical reaction occurs after gas molecules absorb infrared radiation, but only prevent heat from escaping from the earth, which is equivalent to an insulating layer between the earth and outer space, that is, the role of a "greenhouse". Water vapor (H2O), carbon dioxide (CO2), nitrous oxide (N2O), freon, methane (CH4), etc. are the main greenhouse gases in the earth's atmosphere; including those mentioned above: carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs) and sulfur hexafluoride (SF6). Among them, the latter three types of gases have the strongest ability to cause the greenhouse effect, but in terms of the percentage of contribution to global warming, carbon dioxide accounts for the largest proportion due to its higher content.

[0003] In the existing technology, when calculating carbon emissions in a region, the deployment method of carbon emission detection equipment used is too single and cannot be deployed according to the specific conditions in each region. On the one hand, it leads to inaccurate carbon emission detection, and on the other hand, it leads to an unbalanced allocation of detection resources, resulting in a waste of resources. Summary of the invention

[0004] In response to the above-mentioned problems existing in the prior art, the present invention provides a method for calculating carbon emissions of unmanned vehicles, which can deploy unmanned vehicles according to the specific conditions of the detection area, improve the accuracy of carbon emission calculation and the rationality of resource allocation, so as to solve the problems of unbalanced ratio of detection equipment and inaccurate calculation in the existing carbon emission calculation process.

[0005] The present invention discloses a method for calculating carbon emissions of an unmanned vehicle, comprising:

[0006] Step 1: Divide the deployment area of ​​the unmanned vehicle into several detection areas, and deploy an equal number of unmanned vehicles in each detection area;

[0007] Step 2: Obtain the carbon emissions of each detection area regularly through the unmanned vehicle;

[0008] Step 3: Calculate the carbon emission value of the unmanned vehicle in each detection area according to the carbon emission in the detection area and the area of ​​the detection area;

[0009] Step 4: Reassign unmanned vehicles according to the corresponding values ​​of carbon emission unmanned vehicles in each detection area.

[0010] As a further improvement of the present invention, the step 1 specifically comprises:

[0011] Step 11: Divide the deployment area of ​​the unmanned vehicle into n detection areas, and mark them as Sj1 to Sjn in sequence; where n>1, Sj1 is the first detection area, and Sjn is the nth detection area;

[0012] Step 12: Obtain the center position of each detection area respectively, and calculate the distance between the center position of each detection area and the center positions of other detection areas;

[0013] Step 13, respectively obtain the area of ​​each detection area, and mark them as Mj1 to Mjn in sequence; wherein Mj1 is the area of ​​the first detection area, and Mjn is the area of ​​the nth detection area.

[0014] As a further improvement of the present invention, in step 12, obtaining the center position of each detection area includes:

[0015] Step 121, horizontally placing the contour map of each detection area according to a unified placement orientation, setting two parallel lines along the parallel direction of the placement orientation and setting them as parallel calibration lines, placing two parallel lines along the vertical direction of the placement orientation and setting them as vertical calibration lines, the two parallel calibration lines are respectively set on both sides of the placement orientation of the contour map of the detection area in the horizontal direction, and the two vertical calibration lines are respectively set on both sides of the placement orientation of the contour map of the detection area in the vertical direction;

[0016] Step 122, clamping the two horizontal calibration lines and the two vertical calibration lines in a direction close to the contour map of the detection area, so that the two horizontal calibration lines and the two vertical calibration lines are clamped outside the contour map of the detection area, and the inside of the two horizontal calibration lines and the two vertical calibration lines separate a rectangle;

[0017] Step 123, connect the diagonals of the rectangular area. When the intersection of the diagonals is inside the contour map of the detection area, set the intersection of the diagonals as the center position of the detection area; when the intersection of the diagonals is outside the contour map of the detection area, obtain the contour map of the detection area with the largest area on one side of the two diagonals, connect the midpoint of the diagonal line and the vertex of the right-angle side corresponding to the diagonal line, set the connecting line as the second center line, and use the midpoint of the second center line as the center position of the detection area.

[0018] As a further improvement of the present invention, the step 2 specifically comprises:

[0019] Step 21, obtaining the carbon emissions detected by each unmanned vehicle in the detection area within a preset time period, and marking them as Tpw1 to Tpwi in sequence; wherein Tpw1 is the carbon emissions detected by the first unmanned vehicle in the detection area, and Tpwi is the carbon emissions detected by the i-th unmanned vehicle in the detection area;

[0020] Step 22: Sum the carbon emissions detected by each unmanned vehicle in the detection area to obtain the carbon emissions Tpq of the detection area.

[0021] As a further improvement of the present invention, in step 3, the calculation formula for the carbon emission unmanned vehicle corresponding value in the nth detection area is:

[0022] Pwrc=(k1×Tpq) (a1×Mjn)

[0023] Where Pwrc is the corresponding value of the carbon emission unmanned vehicle, Tpq is the carbon emission of the detection area, Mjn is the area of ​​the detection area, k1 is the carbon emission conversion ratio, and a1 is the area conversion ratio.

[0024] As a further improvement of the present invention, the step 4 specifically comprises:

[0025] Step 41: Compare the corresponding value of the carbon emission unmanned vehicles in the detection area with the number of unmanned vehicles already in the detection area, reallocate the excess unmanned vehicles, and fill in the missing unmanned vehicles;

[0026] Step 42, when there is a lack of unmanned vehicles in the detection area, priority is given to allocating from the detection area closest to the center of the detection area and in a state where there are multiple unmanned vehicles. The detection areas with multiple unmanned vehicles will allocate the excess number of unmanned vehicles to the above-mentioned detection areas lacking unmanned vehicles.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] The present invention can obtain the basic parameters of each detection area and provide a reference basis for the subsequent allocation of unmanned vehicles. At the same time, the present invention can re-allocate unmanned vehicles after pre-inspection of each detection area, thereby improving the rationality of the unmanned vehicle allocation and improving the accuracy of carbon emission calculation in each detection area. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A flowchart of a method for calculating carbon emissions of an unmanned vehicle disclosed in an embodiment of the present invention;

[0030] Figure 2 for Figure 1 Flowchart of step 1 in FIG.

[0031] Figure 3 for Figure 1 Flowchart of step 2 in ;

[0032] Figure 4 for Figure 1 Flowchart for step 4 in . DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0034] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0035] like Figure 1 As shown, the present invention provides a method for calculating carbon emissions of an unmanned vehicle, comprising:

[0036] Step 1: Divide the deployment area of ​​the unmanned vehicle into several detection areas, and deploy an equal number of unmanned vehicles in each detection area;

[0037] like Figure 2 As shown, specifically including:

[0038] Step 11: Divide the deployment area of ​​the unmanned vehicle into n detection areas, and mark them as Sj1 to Sjn in sequence; wherein n>1, Sj represents the detection area, 1 to n represent the sequence number of each detection area, Sj1 is the first detection area, and Sjn is the nth detection area; based on this, the present invention can facilitate the subsequent targeted re-proportioning of unmanned vehicles to each area by labeling each detection area;

[0039] Step 12, respectively obtain the center position of each detection area, and calculate the distance between the center position of each detection area and the center position of other detection areas; based on this, the present invention can facilitate the subsequent reallocation of unmanned vehicles according to the principle of proximity by obtaining the centerline position of each detection area, thereby helping to save allocation resources during reallocation; wherein,

[0040] The specific method for obtaining the center position of each detection area includes:

[0041] Step 121, horizontally place the contour map of each detection area according to a unified placement orientation, set two parallel lines along the parallel direction of the placement orientation and set them as parallel calibration lines, place two parallel lines along the vertical direction of the placement orientation and set them as vertical calibration lines, the two parallel calibration lines are respectively set on both sides of the placement orientation of the contour map of the detection area in the horizontal direction, and the two vertical calibration lines are respectively set on both sides of the placement orientation of the contour map of the detection area in the vertical direction; based on this, the present invention can plan the detection area into a rectangle by setting parallel lines on both sides, so as to facilitate the demarcation of the center position of the detection area;

[0042] Step 122, clamping the two horizontal calibration lines and the two vertical calibration lines in a direction close to the contour map of the detection area, so that the two horizontal calibration lines and the two vertical calibration lines are clamped outside the contour map of the detection area, and a rectangle is separated from the inside of the two horizontal calibration lines and the two vertical calibration lines; after the rectangle is separated, it is convenient to find the center position of each detection area later;

[0043] Step 123, connect the diagonals of the rectangular area. When the intersection of the diagonals is inside the contour map of the detection area, set the intersection of the diagonals as the center position of the detection area; when the intersection of the diagonals is outside the contour map of the detection area, obtain the contour map of the detection area with the largest area on one side of the two diagonals, connect the midpoint of the diagonal line and the vertex of the right-angle side corresponding to the diagonal line, set the connecting line as the second center line, and use the midpoint of the second center line as the center position of the detection area.

[0044] Step 13, respectively obtain the area of ​​each detection area, and mark them as Mj1 to Mjn in sequence; wherein Mj represents the area of ​​the detection area, Mj1 is the area of ​​the first detection area, and Mjn is the area of ​​the nth detection area; based on this, the present invention obtains the area of ​​each detection area, which can provide a reference for the subsequent unmanned vehicle ratio, and the allocation according to the area of ​​the detection area can further improve the rationality of the unmanned vehicle ratio.

[0045] Step 2: Obtain the carbon emissions of each detection area regularly through the unmanned vehicle;

[0046] like Figure 3 As shown, specifically including:

[0047] Step 21. Obtain the carbon emissions detected by each unmanned vehicle in the detection area within a preset time period, and mark them in sequence as Tpw1 to Tpwi, where Tpw represents the carbon emissions detected by the unmanned vehicles in the detection area, 1 to i represent the serial number of each unmanned vehicle in the detection area, Tpw1 is the carbon emissions detected by the first unmanned vehicle in the detection area, and Tpwi is the carbon emissions detected by the i-th unmanned vehicle in the detection area; carbon emissions are the most critical parameter for allocating unmanned vehicles. Reasonable allocation of unmanned vehicles can improve the accuracy of carbon emissions calculation.

[0048] Step 22: Substitute the carbon emissions detected by each unmanned vehicle in the detection area into the regional emission formula to calculate the carbon emissions of the detection area.

[0049] The regional emission formula is configured as:

[0050] Tpq=Tpw1+...+Tpwi

[0051] Where Tpq is the carbon emission in the detection area. For example, if the values ​​of Tpw1 to Tpwi are all 1000 units of carbon emission, and i is 10, then the obtained Tpq is 10000 units of carbon emission.

[0052] Step 3: Calculate the carbon emission unmanned vehicle corresponding value of each detection area according to the carbon emission amount of each detection area and the area of ​​the detection area; wherein the calculation formula of the carbon emission unmanned vehicle corresponding value of the nth detection area is:

[0053] Pwrc=(k1×Tpq) (a1×Mjn)

[0054] In the formula, Pwrc is the corresponding value of the carbon emission unmanned vehicle, Tpq is the carbon emission of the detection area, Mjn is the area of ​​the detection area, k1 is the carbon emission conversion ratio, a1 is the area conversion ratio, and k1 and a1 are both greater than zero; among them, the greater the carbon emission, the more unmanned vehicles are deployed, and the larger the area of ​​the detection area, the more unmanned vehicles are deployed.

[0055] Step 4: Reassign the unmanned vehicles according to the corresponding values ​​of the carbon emission unmanned vehicles in each detection area, and adjust the allocation according to the location of each detection area and the carbon emission of each detection area; wherein,

[0056] like Figure 4 As shown, specifically including:

[0057] Step 41: Compare the corresponding value of the carbon emission unmanned vehicles in the detection area with the number of unmanned vehicles already in the detection area, reallocate the excess unmanned vehicles, and fill in the missing unmanned vehicles;

[0058] Step 42, when there is a lack of unmanned vehicles in the detection area, priority is given to allocating from the detection area closest to the center of the detection area and in a state where there are multiple unmanned vehicles. The detection areas with multiple unmanned vehicles will allocate the excess number of unmanned vehicles to the above-mentioned detection areas lacking unmanned vehicles.

[0059] The advantages of the present invention are:

[0060] 1. The present invention divides and marks several detection areas, which are marked as Sj1 to Sjn in sequence, and then obtains the center position of each detection area, and respectively obtains the distance between the center position of each detection area and the center position of other detection areas, and respectively obtains the area of ​​each detection area, which are marked as Mj1 to Mjn in sequence. The basic parameters of each detection area can be obtained, providing a reference basis for the subsequent matching of unmanned vehicles.

[0061] 2. The present invention divides the area where unmanned vehicles are deployed into several detection areas, deploys an equal number of unmanned vehicles in each detection area, and obtains the carbon emissions in each detection area through the unmanned vehicles in a regular basis; the total carbon emissions obtained by the unmanned vehicles in each detection area are processed to obtain the corresponding values ​​of carbon emissions for the unmanned vehicles; the unmanned vehicles are reallocated according to the corresponding values ​​of carbon emissions for the unmanned vehicles, and the allocation is adjusted according to the position of each detection area and the carbon emissions of each detection area. This method can reallocate the unmanned vehicles after pre-inspection of each detection area, thereby improving the rationality of the unmanned vehicle allocation and at the same time improving the accuracy of the carbon emissions calculation for each detection area.

[0062] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for calculating carbon emissions of an unmanned vehicle, characterized in that: include: Step 1: Divide the deployment area of ​​the unmanned vehicle into several detection areas, and deploy an equal number of unmanned vehicles in each detection area; Specifically include: Step 11: Divide the deployment area of ​​the unmanned vehicle into n detection areas, and mark them as Sj1 to Sjn in sequence; where n>1, Sj1 is the first detection area, and Sjn is the nth detection area; Step 12: Obtain the center position of each detection area respectively, and calculate the distance between the center position of each detection area and the center positions of other detection areas; Step 13, respectively obtain the area of ​​each detection area, and mark them as Mj1 to Mjn in sequence; wherein Mj1 is the area of ​​the first detection area, and Mjn is the area of ​​the nth detection area; Step 2: Obtain the carbon emissions of each detection area regularly through the unmanned vehicle; Step 3: Calculate the carbon emission value of the unmanned vehicle in each detection area according to the carbon emission in the detection area and the area of ​​the detection area; Step 4: Reassign unmanned vehicles according to the corresponding values ​​of carbon emission unmanned vehicles in each detection area.

2. The method for calculating carbon emissions of an unmanned vehicle according to claim 1, characterized in that: In step 12, obtaining the center position of each detection area includes: Step 121, horizontally placing the contour map of each detection area according to a unified placement orientation, setting two parallel lines along the parallel direction of the placement orientation and setting them as parallel calibration lines, placing two parallel lines along the vertical direction of the placement orientation and setting them as vertical calibration lines, the two parallel calibration lines are respectively set on both sides of the placement orientation of the contour map of the detection area in the horizontal direction, and the two vertical calibration lines are respectively set on both sides of the placement orientation of the contour map of the detection area in the vertical direction; Step 122, clamping the two horizontal calibration lines and the two vertical calibration lines in a direction close to the contour map of the detection area, so that the two horizontal calibration lines and the two vertical calibration lines are clamped outside the contour map of the detection area, and the inside of the two horizontal calibration lines and the two vertical calibration lines separate a rectangle; Step 123, connect the diagonals of the rectangular area. When the intersection of the diagonals is inside the contour map of the detection area, set the intersection of the diagonals as the center position of the detection area; when the intersection of the diagonals is outside the contour map of the detection area, obtain the contour map of the detection area with the largest area on one side of the two diagonals, connect the midpoint of the diagonal line and the vertex of the right-angle side corresponding to the diagonal line, set the connecting line as the second center line, and use the midpoint of the second center line as the center position of the detection area.

3. The method for calculating carbon emissions of an unmanned vehicle according to claim 1, characterized in that: The step 2 specifically includes: Step 21, obtaining the carbon emissions detected by each unmanned vehicle in the detection area within a preset time period, and marking them as Tpw1 to Tpwi in sequence; wherein Tpw1 is the carbon emissions detected by the first unmanned vehicle in the detection area, and Tpwi is the carbon emissions detected by the i-th unmanned vehicle in the detection area; Step 22: Sum the carbon emissions detected by each unmanned vehicle in the detection area to obtain the carbon emissions Tpq of the detection area.

4. The method for calculating carbon emissions of an unmanned vehicle according to claim 1, characterized in that: In step 3, the calculation formula for the corresponding value of the carbon emission unmanned vehicle in the nth detection area is: Purc=(k1×Tpq) (a1×Mjn) Where Pwrc is the corresponding value of the carbon emission unmanned vehicle, Tpq is the carbon emission of the detection area, Mjn is the area of ​​the detection area, k1 is the carbon emission conversion ratio, and a1 is the area conversion ratio.

5. The method for calculating carbon emissions of an unmanned vehicle according to claim 1, characterized in that: The step 4 specifically includes: Step 41: Compare the corresponding value of the carbon emission unmanned vehicles in the detection area with the number of unmanned vehicles already in the detection area, reallocate the excess unmanned vehicles, and fill in the missing unmanned vehicles; Step 42, when there is a lack of unmanned vehicles in the detection area, priority is given to allocating from the detection area closest to the center of the detection area and in a state where there are multiple unmanned vehicles. The detection areas with multiple unmanned vehicles will allocate the excess number of unmanned vehicles to the above-mentioned detection areas lacking unmanned vehicles.

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