A charging pile site selection method considering motor vehicle carbon emissions

Abstract

The present invention discloses a charging pile site selection method considering the carbon emission of motor vehicles, including: step S1: determining the site selection range of the charging pile, clarifying the site selection principle and the number of construction; step S2: obtaining POI data and environmental monitoring data within the site selection range; step S3: filtering out parking lot points of interest from the obtained POI data; step S4: counting POI data within the site selection range; step S5: counting environmental monitoring data within the site selection range, and performing interpolation analysis on different pollutant data of each environmental monitoring data, respectively, to obtain a heat map of different pollutant emissions within the site selection range; step S6: determining different categories of POI and weights of various pollutants according to the site selection target; step S7: combining the number of charging pile constructions, and determining the final site selection of the charging pile from the set of candidate points according to the superimposed layers. The present invention achieves a balance between meeting travel needs and reducing pollution emissions, completes site selection, and maximizes the goal of reducing carbon emissions and tail gas pollution, and plays a role in decision support.

Description

Technical Field

[0001] The present invention relates to the field of traffic environment technology, and in particular to a charging pile site selection method taking into account carbon emissions of motor vehicles. Background Art

[0002] With the continuous improvement of urbanization and motorization, motor vehicle travel has become the first choice for residents, which objectively leads to the rapid growth of carbon emissions from motor vehicles. Carbon emissions in the transportation sector are one of the main factors causing global climate change. Greenhouse gases such as CO2 will bring about a series of environmental problems such as climate warming and ozone layer erosion, and undermine the stability of the ecosystem. At the same time, the gases emitted by motor vehicles also include nitrogen oxides, hydrocarbons, solid suspended particles, etc. These pollutants can cause dizziness, nausea, vomiting, fatigue and other problems. In severe cases, they can also endanger the respiratory system and nervous system, and have a significant impact on human health.

[0003] In 2020, road traffic accounted for about 80% of the carbon emissions of the entire transportation industry. The development of new energy vehicles is considered a good way to reduce road traffic carbon emissions. With the rapid development of the new energy vehicle industry in my country, the construction of new infrastructure such as charging piles should take the lead. How to efficiently select and build charging piles is an issue that needs to be studied urgently. In 2020, the draft for comments on the "New Energy Vehicle Industry Development Plan (2021-2035)" issued by the Ministry of Industry and Information Technology proposed that by 2030, the number of new energy vehicles in my country is expected to reach 64.2 million. According to the construction goal of a 1:1 ratio of cars to piles, there will be a gap of 63 million charging piles in my country in the next ten years, and it is expected to form a charging pile infrastructure construction market of 1.02 trillion yuan. Summary of the invention

[0004] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art and provide a charging pile site selection method that takes into account the carbon emissions of motor vehicles. The method integrates travel hotspot POI data with environmental pollutant monitoring data to guide government departments to give priority to the deployment of charging piles in areas with high travel demand and serious environmental pollution, and guides travelers to choose high-energy vehicles for travel in the above-mentioned areas, thereby minimizing motor vehicle carbon emissions and exhaust pollution while meeting charging needs.

[0005] The technical solution adopted by the present invention to solve the technical problem is: a charging pile site selection method considering the carbon emissions of motor vehicles, the method comprising the following steps:

[0006] Step S1: Determine the site selection scope of charging piles, clarify the site selection principles and construction quantity;

[0007] Step S2: Acquire POI data and environmental monitoring data within the site selection range;

[0008] Step S3: Filter out parking lot points of interest from the acquired POI data, exclude parking lots where charging piles have been deployed, and include the remaining parking lots in the charging pile candidate point set;

[0009] Step S4: Count the POI data within the site selection range, divide the POI into eight categories: residential, commercial and catering, corporate, leisure and scenic spots, education and scientific research, medical care, government agencies, and public transportation, perform kernel density analysis on the POI data by category, and obtain kernel density analysis graphs of POIs of different categories;

[0010] Step S5: Collecting environmental monitoring data within the site selection range, and performing interpolation analysis on different pollutant data of each environmental monitoring data to obtain a heat map of different pollutant emissions within the site selection range;

[0011] Step S6: Determine the weights of different types of POIs and various types of pollutants according to the site selection objectives, and use ArcGIS software to weightedly overlay the POI kernel density analysis map and the pollutant emission heat map, and determine the areas suitable for site selection, relatively suitable for site selection, relatively unsuitable for site selection, and unsuitable for site selection based on the overlaid layers;

[0012] Step S7: Based on the number of charging piles to be built, the final location of the charging piles is determined from the set of candidate points according to the superimposed layers.

[0013] As a further optimization scheme of the tidal lane setting method considering motor vehicle carbon emissions described in the present invention, the site selection range in step S1 should be of appropriate size, generally not smaller than the county range and not larger than the prefecture-level city range.

[0014] As a further optimization scheme for a tidal lane setting method taking into account carbon emissions from motor vehicles as described in the present invention, the POI data acquired in step S2 should include but are not limited to the following contents: name of the point of interest, longitude and latitude, and category of the point of interest; the environmental monitoring data acquired should include but are not limited to the following contents: name of the environmental monitoring equipment, longitude and latitude, monitoring time, and monitoring values ​​of various environmental pollutants such as CO2.

[0015] As a further optimization scheme of the tidal lane setting method considering carbon emissions of motor vehicles described in the present invention, the kernel density calculation formula in step S4 is:

[0016]

[0017] In this formula, h represents the bandwidth, m represents the number of sample points within the bandwidth, and K represents the two-dimensional kernel function.

[0018] As a further optimization scheme for a tidal lane setting method taking into account carbon emissions from motor vehicles described in the present invention, when using ArcGIS for kernel density analysis in step S4, the system automatically calculates the default output pixel size and search radius (bandwidth), and uses a Gaussian kernel function for analysis; in actual application, the output pixel size should be adjusted as needed to ensure that the kernel density analysis graph has good smoothness.

[0019] As a further optimization scheme of the tidal lane setting method considering carbon emissions of motor vehicles described in the present invention, the interpolation analysis in step S5 adopts ordinary Kriging method.

[0020] As a further optimization scheme of the tidal lane setting method considering carbon emissions of motor vehicles described in the present invention, the weighted superposition calculation formula in step S6 is:

[0021]

[0022] Among them, S is the grid value calculated after weighted overlay, α i is the weight of the kernel density analysis graph of the POI of the i-th category, S 1i is the kernel density grid value of the i-th POI, β i is the interpolation graph weight of the i-th type of pollutant, S 2i is the grid value of the i-th type of pollutant.

[0023] Beneficial effects:

[0024] 1. From the perspective of reducing environmental pollution, the present invention integrates environmental monitoring data and POI data showing travel behavior to select the location of charging piles, so as to achieve a balance between meeting travel needs and reducing pollution emissions. While completing the site selection, the goal of reducing carbon emissions and exhaust pollution is achieved to the maximum extent, playing a role in decision support.

[0025] 2. The present invention has the characteristics of low cost, strong practicability, convenient data acquisition and strong operability. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 The figure is a flow chart of the method of the present invention.

[0027] Figure 2 Schematic diagram of alternative charging pile points in an embodiment of the present invention.

[0028] Figure 3 It is a map of suitable site selection areas obtained by weighted superposition of layers in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The method of the present invention is described in detail and completely below in conjunction with the drawings of the specification. The described embodiments are not all examples of the use of the method of the present invention. Based on the embodiments of the device of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative technologies belong to the protection scope of the device of the present invention.

[0030] This embodiment selects the entire area of ​​a certain district in a certain city as the charging pile site selection area, and combines the three types of POI point of interest data of residential, shopping, and company with the three environmental pollutant monitoring data of CO2, nitrogen oxides, and PM2.5 to select the location for the charging pile layout, so as to achieve the purpose of promoting the development of the new energy vehicle industry and reducing exhaust pollutant emissions.

[0031] The site selection of charging piles considering carbon emissions of motor vehicles in this embodiment is performed based on the following method for site selection of charging piles considering carbon emissions of motor vehicles, and the method includes the following contents:

[0032] Step S1, determine the site selection scope of charging piles, clarify the site selection principles and construction quantity;

[0033] Step S2, obtaining POI data and environmental monitoring data within the site selection range;

[0034] Step S3: Filter out parking lots of interest from the acquired POI data, remove parking lots where charging piles have been deployed, and include the remaining parking lots in the charging pile candidate point set, such as Figure 2 As shown;

[0035] Step S4, counting POI data within the site selection range, dividing POI into three categories: residential, commercial, and corporate, performing kernel density analysis on POI data by category, and obtaining kernel density analysis graphs of POIs of different categories;

[0036] Step S5, collecting environmental monitoring data within the site selection range, and performing interpolation analysis on the monitoring data of three environmental pollutants, namely, CO2, nitrogen oxides, and PM2.5, to obtain a heat map of different pollutant emissions within the site selection range;

[0037] Step S6: Determine the weights of different types of POIs and various types of pollutants according to the site selection objectives, and use ArcGIS software to weightedly overlay the POI kernel density analysis map and the pollutant emission heat map, and determine the area suitable for site selection based on the overlaid layers. Figure 3 As shown, the lighter the color, the more suitable the area is for site selection;

[0038] Step S7: Determine the final location of the charging pile from the set of candidate points based on the number of charging piles to be built and the superimposed layers.

[0039] In step S1, the site selection range should be of appropriate size, generally not smaller than the county range and not larger than the prefecture-level city range. In this example, the site selection range is the county range of the entire Tongzhou District.

[0040] In step S2, the obtained POI data includes the following contents: name of the point of interest, longitude and latitude, and category of the point of interest; the obtained environmental monitoring data includes the following contents: name of the environmental monitoring equipment, longitude and latitude, monitoring time, and monitoring values ​​of various environmental pollutants.

[0041] In step S4, the kernel density calculation formula is:

[0042]

[0043] In this formula, h represents the bandwidth, m represents the number of sample points within the bandwidth, and K represents the two-dimensional kernel function.

[0044] In step S4, when using ArcGIS for kernel density analysis, the system automatically calculates the default output pixel size and search radius (bandwidth), and uses the Gaussian kernel function for analysis; in this example, the output pixel size is adjusted to 1.7×10 -3 , to ensure that the kernel density analysis graph has good smoothness.

[0045] In step S5, ordinary Kriging method is used for interpolation analysis.

[0046] In step S6, the weighted superposition calculation formula is:

[0047]

[0048] Among them, S is the grid value calculated after weighted overlay, α i is the weight of the kernel density analysis graph of the POI of the i-th category, S 1i is the kernel density grid value of the i-th POI, β i is the interpolation graph weight of the i-th type of pollutant, S 2i is the grid value of the i-th type of pollutant.

[0049] For those skilled in the art, the device of the present invention is not limited to the exemplary embodiments described above. Any technician familiar with the technical field can replace or change the technical solution and concept of the present invention within the technical scope disclosed by the present invention, and the replacement or change should be covered by the protection scope of the present invention.

Claims

1. A charging pile site selection method considering motor vehicle carbon emissions, It is characterized in that The method comprises the following steps: Step S1: Determine the site selection scope of charging piles, clarify the site selection principles and construction quantity; Step S2: Obtain POI data and environmental monitoring data within the site selection range. The obtained POI data includes: POI name, longitude and latitude, and POI category; the obtained environmental monitoring data includes: environmental monitoring equipment name, longitude and latitude, monitoring time, CO 2 Monitoring values ​​of various environmental pollutants; Step S3: Filter out parking lot points of interest from the acquired POI data, exclude parking lots where charging piles have been deployed, and include the remaining parking lots in the charging pile candidate point set; Step S4: Count the POI data within the site selection range. The POIs are divided into eight categories: residential, commercial and catering, companies and enterprises, leisure attractions, education and scientific research, medical care, government agencies, and public transportation. Kernel density analysis is performed on the POI data by category to obtain kernel density analysis maps of POIs of different categories. When using ArcGIS for kernel density analysis, the system automatically calculates the default output pixel size and search radius, and uses the Gaussian kernel function for analysis. Step S5: Collect environmental monitoring data within the site selection range, perform interpolation analysis on different pollutant data of each environmental monitoring data, and obtain a heat map of different pollutant emissions within the site selection range. The interpolation analysis adopts ordinary Kriging method; Step S6: Determine the weights of different types of POIs and various types of pollutants according to the site selection objectives, and use ArcGIS software to weightedly overlay the POI kernel density analysis map and the pollutant emission heat map. According to the overlaid layers, determine the areas that are suitable for site selection, relatively suitable for site selection, relatively unsuitable for site selection, and unsuitable for site selection. The weighted overlay calculation formula is: Among them, S is the grid value calculated after weighted overlay, α i is the weight of the kernel density analysis graph of the POI of the i-th category, S 1i is the kernel density grid value of the i-th POI, β i is the interpolation graph weight of the i-th type of pollutant, S 2i is the grid value of the pollutant of type i; Step S7: Based on the number of charging piles to be built, the final location of the charging piles is determined from the set of candidate points according to the superimposed layers.

2. A charging pile site selection method considering carbon emissions of motor vehicles according to claim 1, It is characterized in that The site selection scope in step S1 should be of appropriate size, not smaller than the county scope and not larger than the prefecture-level city scope.

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