Public charging pile site selection and construction method, system and device considering air pollutants

Abstract

The application discloses a public charging pile site selection and construction method, system and device considering air pollutants, wherein S1 is to determine a charging station site selection range and a charging pile construction quantity; S2 is to divide a plurality of grid areas in combination with a charging pile service range; S3 is to acquire interest point data, environmental monitoring data and road network data in the site selection range, analyze and process the three types of data and calculate a charging facility suitability index; S4 is to acquire traffic flow data and count into each grid area, and the charging pile basic construction quantity in each grid area is calculated in combination with the flow data and an overall target construction vehicle pile ratio; and S5 is to correct and determine the final charging pile construction quantity in each grid area by using the charging facility suitability index. The application can consider charging demand, environmental protection and traffic convenience by using intelligent interconnected multi-source data fusion analysis means for charging facility site selection and construction, the charging pile construction grid areas are divided according to a charging pile service radius, and the grid area level charging pile construction quantity is determined.

Description

Technical Field

[0001] This invention relates to the field of road traffic technology, specifically to a method, system, and device for selecting and constructing public charging stations while considering air pollutants. Background Technology

[0002] The continued growth in car ownership has caused a series of problems, including climate change and air pollution. Developing new energy vehicles is a strategic measure to address climate change and promote green development. Related studies show that approximately 86% of the urban population lives in areas with PM2.5 concentrations exceeding standards, resulting in about 1.8 million deaths annually. Environmental pollution is an urgent issue that cannot be ignored.

[0003] In recent years, my country's charging infrastructure construction has developed rapidly, and it has built the world's largest and most widely distributed charging infrastructure network. However, the proportion of public charging facilities in my country is still relatively small, and some public charging facilities also suffer from low utilization efficiency. At the same time, the site selection and construction of charging facilities cannot meet the requirements of green development, and charging facilities have not effectively guided travelers to choose new energy vehicles, nor have they effectively alleviated air pollution. Therefore, optimizing the site selection and construction of charging facilities is particularly important.

[0004] The following is a comparison with existing technologies:

[0005] In comparison with the technology of patent CN113888044A "A method for selecting the location of charging piles considering carbon emissions from motor vehicles"

[0006] 1. Patent CN113888044A proposes a charging pile site selection method considering vehicle carbon emissions, integrating POI data on travel hotspots with vehicle carbon emission data to achieve an organic combination of charging facility site selection and environmental pollution reduction. However, the proposed method only provides a map of suitable charging pile locations, without specifying where or how many charging piles should be built, and does not complete the work of allocating the number of charging piles, thus belonging to qualitative analysis. This patent proposes a comprehensive method, system, and device for public charging pile site selection and allocation considering air pollutant emissions, and designs a calculation and processing flow for the number of charging piles. It can quantitatively provide the number of charging piles to be built within the study area, and further provides a quantitative analysis scheme based on the completion of charging pile site selection, providing a reference for actual engineering construction.

[0007] 2. In patent CN113888044A, the method for selecting charging pile locations considering vehicle carbon emissions only takes into account POI data and vehicle carbon emission data, without considering the impact of traffic factors on the location and construction of charging piles. To address this issue, this patent obtains traffic flow data from traffic checkpoint equipment to help determine the charging demand in the area; simultaneously, it obtains road network data at all levels, uses the road network data to calculate road network density, and measures the regional traffic accessibility, making the charging pile location and construction process more comprehensive and scientific.

[0008] 3. In patent CN113888044A, the method for selecting charging pile locations considering vehicle carbon emissions does not divide the area into traffic zones or grid areas. The location selection process only considers the overall study area, which may result in the charging piles not covering the construction area to the maximum extent. This patent, in the process of selecting and configuring charging pile locations, divides the entire study area into several grid areas according to the service radius of the charging piles, and calculates and determines the number of charging piles to be configured on a grid area basis. On the one hand, the method described in this patent can ensure that the charging piles deployed within the grid area cover the grid area to the maximum extent, thereby improving the overall coverage rate of charging piles within the entire study area; on the other hand, this patent calculates specific data for charging piles in different grid areas, and compared with existing patents, the method described in this patent can more accurately and meticulously reflect the differences between different small areas within the study area.

[0009] 4. Patent CN113888044A specifies requirements for the type and content of data acquired during the processing of POI and carbon emission data, but it does not provide the underlying principles or only general principles for data processing, without specific operational steps. This patent, however, details the requirements for the type and content of data when processing POI, environmental pollution, traffic flow, and road network data. It provides detailed processing steps for each type of data, including calculation formulas with explanations. For POI data, it specifies that the data should be extracted to a raster and normalized. For environmental pollution data, it analyzes the principles of interpolation analysis and data processing methods. For traffic network data, it clarifies the principle of consistent coordinate systems and provides calculation formulas. This patent provides a more detailed and accurate description of the steps for constructing charging facilities, offering a more practical solution for the site selection and construction of charging piles. Summary of the Invention

[0010] To address the aforementioned technical issues, this invention proposes a method, system, and device for the site selection and construction of public charging stations that considers air pollutants. This method utilizes data from environmental monitoring equipment, traffic checkpoint equipment, and internet interfaces. Through intelligent interconnected multi-source data fusion analysis, it balances the needs of charging demand, environmental protection, and traffic convenience, clearly defining the number of charging stations to be constructed in each area at the grid level. Simultaneously, it emphasizes the environmental benefits of charging facilities, aiming to reduce regional traffic-related air pollution from the perspective of facility planning and construction, thus balancing economic and environmental benefits.

[0011] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0012] A method for site selection and construction of public charging stations considering air pollutant emissions, the method comprising the following steps:

[0013] Step S1: Determine the site selection area for charging stations and the number of charging piles to be built;

[0014] Step S2: Delineate several grid areas based on the service range of the charging piles;

[0015] Step S3: Obtain Point of Interest (POI) data, environmental monitoring data, and road network data within the selected site area. Extract the three types of data to each grid area and analyze and process them. Use the three types of data to represent charging demand, environmental pollution level, and traffic accessibility, respectively, and calculate the charging facility suitability index.

[0016] In step S3, when processing POI data, various types of POI data are extracted to different grid regions and the POI region density is calculated. Then, they are normalized to obtain the charging demand index of different grid regions represented by various types of POI density data.

[0017]

[0018] Among them, DP i Let n be the density of the i-th type of POI. ij The area represents the number of POIs of type i within grid region j. j Let j be the area of ​​the grid region;

[0019] In step S3, when processing environmental monitoring data, since the environmental monitoring data comes from environmental monitoring points, Kriging is used for interpolation analysis and calculation. The Kriging interpolation formula is:

[0020]

[0021] Where Z(x0) is the estimated value at point x0, and λ i It is the optimal coefficient that minimizes the difference between the estimated value and the true value at point x0. The interpolation data of different pollutants are extracted to each grid area and normalized to obtain the environmental pollution index of different grid areas represented by the emission data of various pollutants.

[0022] When processing road network data in step S3, it is important to ensure that the coordinate systems of the road network layer and the raster area layer are consistent. Under the same coordinate system, the road network data is extracted to each raster area, the road network density of each level of road in different raster areas is calculated, and after normalization, the traffic accessibility index of each raster area is obtained by the road network density.

[0023]

[0024] Among them, DR i For road density of level i, l ij Let area be the length of the i-th level road within grid region j. j Let j be the area of ​​the grid region;

[0025] In step S3, the charging facility suitability index is calculated from charging demand, environmental pollution data and traffic network density data. The Delphi method is used to score the importance of various POIs, environmental pollutant indicators and road density at all levels. The average of all expert scores is converted into the weights of various POIs and environmental pollutant indicators according to the ratio. The weighted calculation yields the charging facility suitability index for each traffic community.

[0026] The formula for calculating the suitability index of charging facilities is:

[0027]

[0028] Where T is the charging facility suitability index, αi is the kernel density data weight of the i-th type of POI, and T 1i Let βj be the charging demand value represented by the kernel density of the i-th type of POI, and T be the weight of the emission data of the j-th type of environmental pollutant. 2j For the emission value of Class j environmental pollutants, γ k T represents the density weight of the k-th type of road. 3k This represents the density value for road type k.

[0029] Step S4: Obtain traffic flow data and compile it into each grid area. Combine the traffic flow data with the overall target vehicle-to-charging-pile ratio to calculate the basic charging pile configuration in each grid area.

[0030] In step S4, the basic charging pile configuration for each grid area is calculated from traffic flow data. Based on the target vehicle-to-charging-pile ratio and the number of motor vehicles in the entire study area, the total charging pile configuration S for the entire area is obtained, combined with the traffic flow Q of each grid area. i Calculate the foundation allocation S for charging piles in each grid area. i The calculation formula is as follows:

[0031]

[0032] Step S5: Use the charging facility suitability index to correct and determine the final number of charging piles to be built in each grid area;

[0033] In step S5, the number of charging piles installed in each grid area should be based on the charging facility suitability index T calculated in the preceding steps. i After making corrections, the final charging pile allocation S was calculated. i The calculation formula is as follows:

[0034] .

[0035] As a further improvement to the method of the present invention, the site selection range in step S1 is the county area. In order to ensure the effectiveness and precision of site selection and construction, the site selection range in step S1 should be appropriate, generally the county area.

[0036] As a further improvement to the method of the present invention, the grid area division in step S2 should follow the principle of appropriate size. Urban areas should be divided into square grid areas with a side length of 1km, and suburban and rural areas should be divided into square grid areas with a side length of 3km. Currently, the core service radius of charging piles is 0.9-1.2 kilometers, and that of suburban areas is 3 kilometers. In order to ensure that all charging piles can cover most of the grid area where they are located, it is recommended that urban areas be divided into square grid areas with a side length of 1km, and suburban and rural areas be divided into square grid areas with a side length of 3km.

[0037] As a further improvement to the method of the present invention, when acquiring data in step S3, POI data should be classified and statistically analyzed, including at least the corresponding categories of residential, commercial, industrial, tourism, education, health and public transportation; the acquired POI data should include, but is not limited to, the following: point of interest name, latitude and longitude, point of interest category; the acquired environmental monitoring data should include, but is not limited to, the following: environmental monitoring equipment name, latitude and longitude, monitoring time, monitoring values ​​of various environmental pollutants such as carbon and nitrogen oxides and total suspended particulate matter; the acquired road network data should at least include road name and road grade, and should also be vector location data.

[0038] This invention provides a system corresponding to a method for selecting and allocating public charging stations considering air pollutant emissions, comprising the following modules:

[0039] The charging demand information module is used to obtain real-time Points of Interest (POI) data and assess the degree of charging demand.

[0040] The environmental monitoring module is used to acquire real-time emission data of various air pollutants around the monitoring points to measure the degree of environmental pollution.

[0041] The traffic monitoring module is used to acquire traffic flow data at traffic checkpoints to support the calculation of the required number of charging piles.

[0042] The configuration correction module is used to correct the initial number of charging piles in the area and calculate the number of charging piles in each grid area that simultaneously meets the air emission reduction target, charging demand and traffic convenience.

[0043] This invention provides a corresponding device for a method of selecting and allocating public charging stations considering air pollutant emissions, comprising the following parts:

[0044] Information processing device, including data mining program and API interface, for acquiring and processing POI data;

[0045] Environmental monitoring devices, including air pollution emission detection equipment installed in environmental monitoring stations in the study area, are used to acquire air emission data;

[0046] Video monitoring devices, including traffic checkpoint equipment in the study area, are used to identify traffic flow at intersections and extract popular vehicle routes for site selection reference;

[0047] The configuration correction device includes a charging station suitability index calculation and correction program, which is used to determine the suitable areas for charging stations and the number of charging piles to be configured in each grid area.

[0048] Beneficial effects:

[0049] 1. This invention utilizes multi-source data fusion analysis through intelligent interconnection for charging facility site selection, efficiently integrating and analyzing data from multiple departments such as environment, transportation, and industry and information technology, and comprehensively and deeply considering the impact of charging facility construction on various groups.

[0050] 2. This invention focuses on the environmental benefits of charging facility construction, reduces regional traffic-related air pollution from the perspective of facility planning and construction, and balances the needs of charging demand, environmental protection, and traffic convenience, taking into account both economic and environmental benefits.

[0051] 3. This invention delineates the grid area for charging pile construction based on the service radius of the charging piles, and provides a scheme for determining the number of charging piles to be built at the grid area level. Attached Figure Description

[0052] Figure 1 This is a flowchart of the method of the present invention;

[0053] Figure 2 This is a schematic diagram of the working process of the device of the present invention. Detailed Implementation

[0054] The following is in conjunction with the instruction manual appendix. Figure 1 and 2 The method of the present invention is described in detail and completely. The described embodiments are not exhaustive examples of the method of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive step are within the protection scope of the present invention.

[0055] The method, system, and apparatus for selecting and constructing public charging stations considering air pollutant emissions implemented in this embodiment include:

[0056] Step S1: Determine the site selection area for charging stations and the number of charging piles to be built;

[0057] Step S2: Delineate several grid areas based on the service range of the charging piles;

[0058] Step S3: Obtain point of interest (POI) data, environmental monitoring data, and road network data within the selected site area. Extract the three types of data to each grid area and analyze and process them. Use the three types of data to represent charging demand, environmental pollution level, and traffic accessibility, respectively, and calculate the charging facility suitability index.

[0059] Step S4: Obtain traffic flow data and compile it into each grid area. Combine the traffic flow data with the overall target vehicle-to-charging-pile ratio to calculate the basic charging pile configuration in each grid area.

[0060] Step S5: Use the charging facility suitability index to correct and determine the final number of charging piles to be built in each grid area.

[0061] Furthermore, to ensure the effectiveness and precision of site selection and construction, the site selection scope in step S1 should be appropriate, generally within the county area.

[0062] Furthermore, the grid area division in step S2 should follow the principle of appropriate size. Currently, the service radius of charging piles in the core area is 0.9-1.2 kilometers, and in suburban areas it is 3 kilometers. To ensure that all charging piles can cover most of their respective grid areas, it is recommended that urban areas be divided into square grid areas with a side length of 1 km, and suburban and rural areas into square grid areas with a side length of 3 km. This embodiment falls within the urban area, therefore the grid area is divided into areas of 1 km². 2 A square.

[0063] Furthermore, when acquiring data in step S3, POI data should be categorized and statistically analyzed, including at least residential, commercial, industrial, tourism, educational, health, and public transportation categories. The acquired POI data should include, but is not limited to, the following: point of interest name, latitude and longitude, and point of interest category. The acquired environmental monitoring data should include, but is not limited to, the following: environmental monitoring equipment name, latitude and longitude, monitoring time, and monitoring values ​​of various environmental pollutants such as carbon and nitrogen oxides and total suspended particulate matter. The acquired road network data should at least include road name and road grade, and should be vector location data.

[0064] Furthermore, in step S3, when processing POI data, various types of POI data are extracted to different grid regions and the POI region density is calculated. Then, the data is normalized to obtain the charging demand index of different grid regions represented by various types of POI density data.

[0065]

[0066] Among them, DP i Let n be the density of the i-th type of POI. ij The area represents the number of POIs of type i within grid region j. j Let j be the area of ​​the raster region.

[0067] Furthermore, in step S3, when processing environmental monitoring data, since the environmental monitoring data originates from environmental monitoring points, Kriging is used for interpolation analysis and calculation. The Kriging interpolation formula is:

[0068]

[0069] Where Z(x0) is the estimated value at point x0, and λ i It is the optimal coefficient that minimizes the difference between the estimated value and the true value at point x0. Interpolation data for different pollutants are extracted to each raster region and normalized to obtain the environmental pollution index of different raster regions represented by the emission data of various pollutants.

[0070] Furthermore, when processing road network data in step S3, attention should be paid to ensuring that the coordinate systems of the road network layer and the raster area layer are consistent. Under the same coordinate system, the road network data is extracted to each raster area, the road network density of each level of road in different raster areas is calculated, and after normalization, the traffic accessibility index of each raster area represented by the road network density is obtained.

[0071]

[0072] Among them, DR i For road density of level i, l ij Let area be the length of the i-th level road within grid region j. j Let j be the area of ​​the raster region.

[0073] Furthermore, in step S3, the charging facility suitability index is calculated based on charging demand, environmental pollution data, and traffic network density data. The Delphi method is used to score the importance of various POIs, environmental pollutant indicators, and road density at all levels. The average of all expert scores is then converted proportionally into weights for various POIs and environmental pollutant indicators, and a weighted average is used to calculate the charging facility suitability index for each traffic area.

[0074] The formula for calculating the suitability index of charging facilities is:

[0075]

[0076] Where T is the charging facility suitability index, αi is the kernel density data weight of the i-th type of POI, and T 1i Let βj be the charging demand value represented by the kernel density of the i-th type of POI, and T be the weight of the emission data of the j-th type of environmental pollutant. 2j For the emission value of Class j environmental pollutants, γ k T represents the density weight of the k-th type of road. 3k This represents the density value for the k-th type of road.

[0077] Furthermore, in step S4, the required number of charging piles in each grid area is calculated using traffic flow data. The required number of charging piles S for the entire study area is determined based on the target vehicle-to-charging-pile ratio and the number of motor vehicles, combined with the traffic flow Q for each grid area. i Calculate the foundation allocation S for charging piles in each grid area. i The calculation formula is as follows:

[0078]

[0079] Furthermore, in step S5, the number of charging piles installed in each grid area should be determined based on the charging facility suitability index T calculated in the preceding steps. i After making corrections, the final charging pile allocation S was calculated. i The calculation formula is as follows:

[0080]

[0081] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for site selection and construction of public charging stations considering air pollutant emissions, characterized in that, The method includes the following steps: Step S1: Determine the site selection area for charging stations and the number of charging piles to be built; Step S2: Delineate several grid areas based on the service range of the charging piles; Step S3: Obtain Point of Interest (POI) data, environmental monitoring data, and road network data within the selected site area. Extract the three types of data to each grid area and analyze and process them. Use the three types of data to represent charging demand, environmental pollution level, and traffic accessibility, respectively, and calculate the charging facility suitability index. In step S3, when processing POI data, various types of POI data are extracted to different grid regions and the POI region density is calculated. Then, they are normalized to obtain the charging demand index of different grid regions represented by various types of POI density data. ； Among them, DP i Let n be the density of the i-th type of POI. ij The area represents the number of POIs of type i within grid region j. j Let j be the area of ​​the grid region; In step S3, when processing environmental monitoring data, since the environmental monitoring data comes from environmental monitoring points, Kriging is used for interpolation analysis and calculation. The Kriging interpolation formula is: ； Where Z(x0) is the estimated value at point x0. It is the optimal coefficient that minimizes the difference between the estimated value and the true value at point x0. The interpolation data of different pollutants are extracted to each grid area and normalized to obtain the environmental pollution index of different grid areas represented by the emission data of various pollutants. When processing road network data in step S3, it is important to ensure that the coordinate systems of the road network layer and the raster area layer are consistent. Under the same coordinate system, the road network data is extracted to each raster area, the road network density of each level of road in different raster areas is calculated, and after normalization, the traffic accessibility index of each raster area is obtained by the road network density. ； Among them, DR z For road density of level z, l zj The z-level road length within grid region j, area j Let j be the area of ​​the grid region; In step S3, the charging facility suitability index is calculated from charging demand, environmental pollution data and traffic network density data. The Delphi method is used to score the importance of various POIs, environmental pollutant indicators and road density at all levels. The average of all expert scores is converted into the weights of various POIs and environmental pollutant indicators according to the ratio. The weighted calculation yields the charging facility suitability index for each traffic community. The formula for calculating the suitability index of charging facilities is: ； Where T is the suitability index for charging infrastructure, and α i T represents the kernel density data weights for the i-th type of POI. 1i Let β be the charging demand value represented by the kernel density of the i-th type of POI. t Let T be the weight of the emission data for the t-th type of environmental pollutant. 2t Let γ be the emission value of Class t environmental pollutant. k T represents the density weight of the k-th type of road. 3k This represents the density value for road type k. Step S4: Obtain traffic flow data and compile it into each grid area. Combine the traffic flow data with the overall target vehicle-to-charging-pile ratio to calculate the basic charging pile configuration in each grid area. In step S4, the basic charging pile configuration for each grid area is calculated from traffic flow data. Based on the target vehicle-to-charging-pile ratio and the number of motor vehicles in the entire study area, the total charging pile configuration S for the entire area is obtained, combined with the traffic flow Q of each grid area. i Calculate the foundation allocation S for charging piles in each grid area. i The calculation formula is as follows: ； Step S5: Use the charging facility suitability index to correct and determine the final number of charging piles to be built in each grid area; In step S5, the number of charging piles installed in each grid area should be based on the charging facility suitability index T calculated in the preceding steps. i After making corrections, the final charging pile allocation S was calculated. i The calculation formula is as follows: 。 2. The method for site selection and construction of public charging stations considering air pollutant emissions according to claim 1, characterized in that, In step S1, the site selection area is the county area.

3. The method for site selection and construction of public charging stations considering air pollutant emissions according to claim 1, characterized in that, In step S2, the grid area division should follow the principle of appropriate size. Urban areas should be divided into square grid areas with a side length of 1km, while suburban and rural areas should be divided into square grid areas with a side length of 3km.

4. The method for site selection and construction of public charging stations considering air pollutant emissions according to claim 1, characterized in that, When acquiring data in step S3, POI data should be categorized and statistically analyzed, including at least the corresponding categories of residential, commercial, industrial, tourism, education, health, and public transportation. The acquired POI data should include the following: point of interest name, latitude and longitude, and point of interest category. The acquired environmental monitoring data should include the following: environmental monitoring equipment name, latitude and longitude, monitoring time, and monitoring values ​​of various environmental pollutants such as carbon, nitrogen oxides, and total suspended particulate matter. The acquired road network data should at least include road name and road grade, and should also be vector location data.

5. A system for the site selection and allocation method of public charging piles considering air pollutant emissions according to any one of claims 1-4, characterized in that, Includes the following modules: The charging demand information module is used to obtain real-time Points of Interest (POI) data and assess the degree of charging demand. The environmental monitoring module is used to acquire real-time emission data of various air pollutants around the monitoring points to measure the degree of environmental pollution. The traffic monitoring module is used to acquire traffic flow data at traffic checkpoints to support the calculation of the required number of charging piles. The configuration correction module is used to correct the initial number of charging piles in the area and calculate the number of charging piles in each grid area that simultaneously meets the air emission reduction target, charging demand and traffic convenience.

6. An apparatus for the site selection and allocation method of public charging piles considering air pollutant emissions according to any one of claims 1-4, characterized in that, Includes the following parts: Information processing device, including data mining program and API interface, for acquiring and processing POI data; Environmental monitoring devices, including air pollution emission detection equipment installed in environmental monitoring stations in the study area, are used to acquire air emission data; Video monitoring devices, including traffic checkpoint equipment in the study area, are used to identify traffic flow at intersections and extract popular vehicle routes for site selection reference; The configuration correction device includes a charging station suitability index calculation and correction program, which is used to determine the suitable areas for charging stations and the number of charging piles to be configured in each grid area.

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