Charging facility planning method and system, medium, equipment and computer program

Abstract

The invention relates to the field of charging facility planning, and provides a charging facility planning method and system, a medium, equipment and a computer program. The method comprises the following steps: carrying out block division on a to-be-planned region, and designing a weight threshold value of a key index; based on the charging facility related data and the new energy automobile related data of each block, calculating a charging equipment related index and a new energy automobile related index respectively, and determining the weight of each charging equipment related index and the weight of each new energy automobile related index respectively by combining the weight threshold of the key index; calculating social resource related indexes based on the social resource related data of each block, and determining the weight of each social resource related index; obtaining a total weight based on the accumulated sum of the weights of all the charging equipment related indexes, the weights of all the new energy automobile related indexes and the weights of all the social resource related indexes; and performing grade division on the total weight, and obtaining the station building scale of the charging station according to the divided grades.

Description

Technical Field

[0001] The present invention relates to the technical field of charging facility planning, and in particular to a charging facility planning method, system, medium, device and computer program. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Charging facility planning refers to a means of conducting a comprehensive analysis of the location analysis, construction scale analysis, and operation effect of charging facilities. Reasonable planning of charging facilities is of great significance to improving the quality of charging services, enhancing user satisfaction, and promoting the sustainable development of the power industry. At present, the construction of charging facilities has achieved certain results, but there are still some problems and shortcomings. The development of car piles is unbalanced, and the gap between urban and rural development is large; although the enthusiasm for investment and construction of charging facilities in the central urban area is high, the layout is unreasonable, resulting in low equipment utilization and a long investment recovery period; charging stations in scenes such as county towns, national and provincial trunk roads, and townships are "small and scattered" with small traffic and difficulty in attracting social investment. At the same time, the traditional charging facility planning algorithm has problems such as reverse order, insufficient discrimination, and information loss. When the sample set changes, the comprehensive score obtained by the same sample may be quite different. Traditional charging facility planning is not convenient for evaluating a single sample or a small number of samples, because only a comprehensive score is given to a local sample set, which often cannot objectively reflect the actual situation of the sample. Summary of the invention

[0004] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a charging facility planning method, system, medium, device and computer program, which can make accurate analysis of charging facility planning in a relatively objective and comprehensive manner.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A first aspect of the present invention provides a charging facility planning method.

[0007] A charging facility planning method, comprising:

[0008] Obtain data related to charging facilities, new energy vehicles, and social resources;

[0009] Divide the area to be planned into blocks and design weight thresholds for key indicators;

[0010] Based on the charging facility-related data and new energy vehicle-related data of each block, the charging equipment-related indicators and new energy vehicle-related indicators are calculated respectively, and the weight of each charging equipment-related indicator and the weight of each new energy vehicle-related indicator are determined respectively in combination with the weight threshold of the key indicators; based on the social resource-related data of each block, the social resource-related indicators are calculated, and the weight of each social resource-related indicator is determined;

[0011] The total weight is obtained based on the sum of the weights of all charging equipment-related indicators, the weights of all new energy vehicle-related indicators and the weights of all social resource-related indicators. The total weight is divided into levels, and the construction scale of the charging station is obtained according to the divided levels.

[0012] Furthermore, the method for dividing the area to be planned into blocks includes: dividing the area to be planned into blocks of different sizes to obtain blocks of at least two different scales.

[0013] Furthermore, the weight thresholds of the key indicators are designed, including: respectively designing a weight threshold for the car-to-pile ratio within the block, a weight threshold for the number of charging stations within the block, a weight threshold for the number of charging piles within the block, a weight threshold for the average number of daily orders within the block, a weight threshold for the average daily charging volume within the block, a weight threshold for the number of new energy vehicles in the block, a weight threshold for the development trend of new energy vehicles in the block, a weight threshold for the percentage of new energy vehicles in the total vehicles in the block, and a weight threshold for the number of new energy vehicles per thousand people in the block.

[0014] Furthermore, based on the charging facility related data of each block, the charging equipment related indicators are calculated, and the weight of each charging equipment related indicator is determined in combination with the weight threshold of the key indicator; the method includes:

[0015] The car-to-pile ratio is calculated according to the ratio of the number of new energy vehicles to the number of charging piles. If the car-to-pile ratio is greater than the weight threshold of the car-to-pile ratio, the weight of the car-to-pile ratio is the first set value; otherwise, the weight of the car-to-pile ratio is zero.

[0016] Calculate the number of charging stations in use in the block. If the number of charging stations is greater than a weight threshold of the number of charging stations in the block, the weight of the number of charging stations is a first set value; otherwise, the weight of the number of charging stations is zero.

[0017] Calculate the number of charging piles in the block. If the number of charging piles is greater than the weight threshold of the number of charging piles in the block, the weight of the number of charging piles is the first set value; otherwise, the weight of the total number of charging piles is zero;

[0018] Calculate the charging pile availability in the block, and obtain the weight of the charging pile availability according to the first set value × (1-charging pile availability);

[0019] Calculate the average daily order quantity in the block. If the average daily order quantity is greater than the weight threshold of the average daily order quantity in the block, the weight of the average daily order quantity is the first set value. Otherwise, the weight of the average daily order quantity is zero.

[0020] Calculating the time utilization rate of the DC charging pile, and obtaining the weight of the time utilization rate of the DC charging pile according to the product of the time utilization rate of the DC charging pile and the first set value;

[0021] Calculating the capacity utilization rate of the DC charging pile, and obtaining the weight of the capacity utilization rate of the DC charging pile according to the product of the capacity utilization rate of the DC charging pile and the first set value;

[0022] Calculating the time utilization rate of the AC charging pile, and obtaining the weight of the time utilization rate of the AC charging pile according to the product of the time utilization rate of the AC charging pile and the first set value;

[0023] Calculating the capacity utilization rate of the AC charging pile, and obtaining the weight of the capacity utilization rate of the AC charging pile according to the product of the capacity utilization rate of the AC charging pile and the first set value;

[0024] The average daily charge amount is calculated. If the average daily charge amount is greater than the weight threshold of the average daily charge amount in the block, the weight of the average daily charge amount is the first set value. Otherwise, the weight of the average daily charge amount is zero.

[0025] Further, based on the new energy vehicle related data of each block, the new energy vehicle related indicators are calculated, and the weight of each new energy vehicle related indicator is determined in combination with the weight threshold of the key indicator; the method includes:

[0026] According to the number of new energy vehicles registered, the number of new energy vehicles is obtained. If the number of new energy vehicles is greater than the weight threshold of the number of new energy vehicles in the block, the weight of the number of new energy vehicles is the second set value, otherwise, the weight of the number of new energy vehicles is zero;

[0027] According to the ratio of the difference between the number of new energy vehicles this year and last year and the number of new energy vehicles this year, the development trend of new energy vehicles is obtained. If the development trend of new energy vehicles is greater than the weight threshold of the development trend of new energy vehicles in the block, the weight of the development trend of new energy vehicles is the second set value, otherwise, the weight of the development trend of new energy vehicles is zero;

[0028] According to the ratio of the number of new energy vehicles to all vehicles, the proportion of new energy vehicles is obtained. If the proportion of new energy vehicles is greater than the weight threshold of the percentage of new energy vehicles in the total number of vehicles in the block, the weight of the proportion of new energy vehicles is the second set value, otherwise, the weight of the proportion of new energy vehicles is zero;

[0029] Calculate the average number of new energy vehicles per thousand people. If the average number of new energy vehicles per thousand people is greater than the weight threshold of new energy vehicles per thousand people in the block, the weight of the average number of new energy vehicles per thousand people is the second set value; otherwise, the weight of the average number of new energy vehicles per thousand people is zero.

[0030] Furthermore, based on the social resource related data of each block, social resource related indicators are calculated, and the weight of each social resource related indicator is determined; the method includes:

[0031] According to the number of parking lots in each block, calculate the number of parking lots and The product of gets the weight of the number of parking lots;

[0032] According to the number of residential areas in each block, the number of residential areas and The product of , we get the weight of the number of residential areas;

[0033] According to the number of transportation hubs in each block, the number of transportation hubs and The product of , we get the weight of the number of transportation hubs;

[0034] According to the number of gas stations in each block, calculate the number of gas stations and The product of , gets the weight of the number of gas stations;

[0035] According to the number of shopping services in each block, the number of shopping services and The product of , gets the weight of the number of shopping services;

[0036] According to the number of car services in each block, the number of car services and The product of , gets the weight of the number of car services;

[0037] According to the number of companies in each block, the number of companies and enterprises is calculated. The product of , we get the weight of the number of companies;

[0038] According to the number of public facilities in each block, the number of public facilities and The product of , we get the weight of the number of public facilities;

[0039] According to the number of government agencies and social groups in each block, the number of government agencies and social groups is calculated. The product of and is used to obtain the weights of the number of government agencies and social groups;

[0040] According to the number of scientific, educational and cultural organizations in each block, the number of scientific, educational and cultural organizations and The product of , we get the weight of the number of science, education and culture organizations;

[0041] According to the number of catering services in each block, the number of catering services and The product of , we get the weight of the number of catering services;

[0042] According to the number of living service facilities in each block, the number of living service facilities and The product of is used to obtain the weight of the number of living service facilities;

[0043] According to the number of leisure facilities in each block, the number of leisure facilities and The product of , we get the weight of the number of leisure facilities;

[0044] According to the number of medical facilities in each block, the number of medical facilities and The product of is used to obtain the weight of the number of medical facilities;

[0045] According to the number of scenic spots in each block, the number of scenic spots and The product of , we get the weight of the number of scenic spots;

[0046] Among them, N = Σ(index value ≥ 1? Index value: 1), the index values ​​include: the number of parking lots, the number of residential areas, the number of transportation hubs, the number of gas stations, the number of shopping services, the number of car services, the number of companies and enterprises, the number of public facilities, the number of government agencies and social groups, the number of scientific, educational and cultural organizations, the number of catering services, the number of living service facilities, the number of leisure facilities, the number of medical facilities and the number of scenic spots.

[0047] Furthermore, the total weight is graded, and the construction scale of the charging station is obtained according to the graded grades; the method includes:

[0048] The total weight is divided into a first-level weight, a second-level weight and a third-level weight, wherein the first-level weight is greater than or equal to 1 and less than 2, the second-level weight is greater than or equal to 2 and less than 3, and the third-level weight is greater than or equal to 3;

[0049] According to the first level weight, small charging stations are established; according to the second level weight, medium-sized charging stations are established; according to the third level weight, large charging stations are established.

[0050] A second aspect of the present invention provides a charging facility planning system.

[0051] A charging facility planning system, comprising:

[0052] A data acquisition module, which is configured to: acquire charging facility related data, new energy vehicle related data, and social resource related data;

[0053] A partition setting module is configured to: divide the area to be planned into blocks and design weight thresholds of key indicators;

[0054] A weight calculation module, which is configured to: calculate charging equipment related indicators and new energy vehicle related indicators based on the charging facility related data and new energy vehicle related data of each block, and determine the weight of each charging equipment related indicator and the weight of each new energy vehicle related indicator based on the weight threshold of the key indicator; calculate social resource related indicators based on the social resource related data of each block, and determine the weight of each social resource related indicator;

[0055] The planning module is configured as follows: obtaining a total weight based on the sum of the weights of all charging equipment-related indicators, the weights of all new energy vehicle-related indicators, and the weights of all social resource-related indicators; and classifying the total weight, and obtaining the construction scale of the charging station according to the divided levels.

[0056] A third aspect of the present invention provides a computer-readable storage medium.

[0057] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the charging facility planning method as described in the first aspect above.

[0058] A fourth aspect of the present invention provides a computer device.

[0059] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the charging facility planning method as described in the first aspect above are implemented.

[0060] A fifth aspect of the present invention provides a computer program product or a computer program.

[0061] The present invention provides a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the steps in the charging facility planning method described in the first aspect above.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] The present invention provides a charging facility planning method, system, medium, equipment and computer program. The present invention adopts a charging facility planning model, constructs a relatively complete charging facility planning indicator model system from three aspects: charging facilities, new energy vehicles and social resources, inputs data into the indicator model to obtain weights, and forms the charging facility construction scale. Combined with geographic information, distribution network information and construction scale, according to the charging facility construction model, the results of the construction location suggestion, the charging pile quantity suggestion and the charging capacity suggestion are generated; the existing charging facility data is not comprehensive enough, lacks data in the dimensions of business, geography and distribution network, resulting in inaccurate planning, one-sided results, insufficient rationality of construction distribution, information loss and other problems; and accurate planning and reasonable layout of charging facilities are realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0065] Figure 1 is a flow chart of a charging facility planning method shown in the present invention;

[0066] Figure 2 is a flow chart of a charging facility planning method shown in the present invention;

[0067] Figure 3 It is a diagram of the charging facility planning indicator system shown in the present invention. DETAILED DESCRIPTION

[0068] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0069] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0070] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0071] It should be noted that the flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the methods and systems according to various embodiments of the present disclosure. It should be noted that each box in the flowchart or block diagram can represent a module, a program segment, or a part of a code, and the module, program segment, or a part of a code may include one or more executable instructions for implementing the logical functions specified in each embodiment. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the flowchart and / or block diagram, and the combination of boxes in the flowchart and / or block diagram can be implemented using a dedicated hardware-based system that performs a specified function or operation, or can be implemented using a combination of dedicated hardware and computer instructions.

[0072] Embodiment 1

[0073] This embodiment provides a charging facility planning method. This embodiment uses the method applied to a server as an example for illustration. It is understandable that the method can also be applied to a terminal, and can also be applied to a terminal, a server, and a system, and is implemented through the interaction between the terminal and the server. The server can be an independent physical server, or a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communications, middleware services, domain name services, security services CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in this application. In this embodiment, the method includes the following steps:

[0074] Obtain data related to charging facilities, new energy vehicles, and social resources;

[0075] Divide the area to be planned into blocks and design weight thresholds for key indicators;

[0076] Based on the charging facility-related data and new energy vehicle-related data of each block, the charging equipment-related indicators and new energy vehicle-related indicators are calculated respectively, and the weight of each charging equipment-related indicator and the weight of each new energy vehicle-related indicator are determined respectively in combination with the weight threshold of the key indicators; based on the social resource-related data of each block, the social resource-related indicators are calculated, and the weight of each social resource-related indicator is determined;

[0077] The total weight is obtained based on the sum of the weights of all charging equipment-related indicators, the weights of all new energy vehicle-related indicators and the weights of all social resource-related indicators. The total weight is divided into levels, and the construction scale of the charging station is obtained according to the divided levels.

[0078] The present embodiment is described in detail below with reference to the accompanying drawings: Figure 1 , Figure 2 , Figure 3 As shown, the charging facility planning method described in this implementation includes:

[0079] Step 1: Access charging facilities, new energy vehicles and geographic information related systems to obtain the required data, including charging station information, charging pile information, charging gun information, charging order information, new energy vehicle information, charging volume information, population information of various cities, traffic flow information, business information, parking lot information, etc. Obtain data for the past three years.

[0080] Step 2: Data cleaning: missing value processing, outlier value processing, duplicate value processing, data type conversion, etc.

[0081] Step 3: Select the block size: 1 km, 3 km, and 5 km are options.

[0082] Step 4: Select the block size and divide the geography into blocks of the selected side length, dividing the entire province's geographic information into blocks.

[0083] Step 5: Set the key indicator weight threshold.

[0084] The weight thresholds that can be set include:

[0085] The car-to-charging pile ratio (unit: percentage) refers to the ratio of the number of new energy vehicles to charging piles; denoted as TH1.

[0086] The number of charging stations (unit: seat), the weight threshold of the number of charging stations in the area; denoted as TH2.

[0087] The number of charging piles (unit: unit), the weight threshold of the number of charging piles in the area; denoted as TH3.

[0088] The average daily order quantity (unit: piece) refers to the weight threshold of the average daily order quantity; denoted as TH4.

[0089] Average daily charging capacity (unit: kilowatt), the weight threshold of the average daily charging capacity in the area; denoted as TH5.

[0090] The number of new energy vehicles in use (unit: vehicle), the weight threshold of the number of new energy vehicles in the region; denoted as TH6.

[0091] New energy vehicle development trend (unit: percentage), weight threshold of new energy vehicle development trend in the region; denoted as TH7.

[0092] The proportion of new energy vehicles (unit: percentage), the weight threshold of the percentage of new energy vehicles in the total number of vehicles in the region; denoted as TH8.

[0093] The average number of new energy vehicles per thousand people (unit: vehicle), the weight threshold of new energy vehicles per thousand people in the region; denoted as TH9.

[0094] Step 6: Analyze the data related to charging facilities in each block, establish indicators related to charging facilities, and form weighted scores for each indicator.

[0095] Charging facility related indicators include:

[0096] (1) Vehicle-to-charging-pile ratio (unit: percentage), refers to the ratio of the number of new energy vehicles to charging piles; denoted as VTP:

[0097]

[0098] If VTP>TH1, the weight is: 0.125, otherwise the weight is 0.

[0099] (2) Number of charging stations (unit: seat), refers to the number of charging stations in use; denoted as CDZSL:

[0100] CDZSL=∑charging stations in the area

[0101] If CDZSL>TH2, the weight is: 0.125, otherwise the weight is 0.

[0102] (3) Number of charging piles (unit: unit) refers to the total number of existing charging piles; denoted as CDZZSL:

[0103] CDZZSL=∑Number of charging piles in use in regional terminal stations

[0104] If CDZZSL>TH3, the weight is: 0.125, otherwise the weight is 0.

[0105] (4) Charging pile availability rate (unit: percentage), which refers to the percentage of available charging piles to the total number of charging piles; CDZKYL:

[0106]

[0107] The weight is: 0.125×(1-CDZKYL).

[0108] (5) Average daily order quantity (unit: pcs) refers to the average daily order quantity; denoted as RJDDSL:

[0109]

[0110] If RJDDSL>TH4, the weight is: 0.125, otherwise the weight is 0.

[0111] (6) DC charging pile time utilization rate (unit: percentage), refers to the percentage of DC charging pile charging time in a day; denoted as ZLCDZSJLYL:

[0112]

[0113] The weight is: 0.125×ZLCDZSJLYL.

[0114] (7) The capacity utilization rate of the DC charging pile (unit: percentage) refers to the percentage of the charging capacity of the DC charging pile to the rated capacity; denoted as ZLCDZRLLYL:

[0115]

[0116] The weight is: 0.125×ZLCDZRLLYL.

[0117] (8) AC charging pile time utilization rate (unit: percentage), which refers to the percentage of AC charging pile charging time in a day; denoted as, JLCDZSJLYL:

[0118]

[0119] The weight is: 0.125×JLCDZSJLYL.

[0120] (9) Capacity utilization rate of AC charging pile (unit: percentage), which refers to the percentage of the charging capacity of the AC charging pile to the rated capacity; denoted as, JLCDZRLLYL:

[0121]

[0122] The weight is: 0.125×JLCDZRLLYL.

[0123] (10) Average daily charging capacity (unit: kilowatt) refers to the average daily charging capacity of the charging pile; denoted as RJCDL:

[0124]

[0125] If RJCDL>TH5, the weight is: 0.125, otherwise the weight is 0.

[0126] Step 7: Taking blocks as units, analyze the new energy vehicle-related data in each block, establish new energy vehicle-related indicators, and form weighted scores for each indicator.

[0127] New energy vehicle related indicators include:

[0128] (1) Number of new energy vehicles in use (unit: vehicle), denoted as QCBYL:

[0129] QCBYL = Number of new energy vehicles registered

[0130] If QCBYL>TH6, the weight is: 0.25, otherwise the weight is 0.

[0131] (2) Development trend of new energy vehicles (unit: percentage), denoted as, QCFZQS:

[0132]

[0133] If QCFZQS>TH7, the weight is: 0.25, otherwise the weight is 0.

[0134] (3) Proportion of new energy vehicles (unit: percentage), denoted as, QCZB:

[0135]

[0136] If QCBYL>TH8, the weight is: 0.25, otherwise the weight is 0.

[0137] (4) Average number of new energy vehicles per thousand people (unit: vehicle), denoted as, QCQRZYL:

[0138]

[0139] If QCQRZYL>TH9, the weight is: 0.25, otherwise the weight is 0.

[0140] Step 8: Taking blocks as units, analyze and summarize the population information, traffic flow information, business information, and parking lot information of each area, establish relevant indicators, and form weighted scores for each indicator.

[0141] Social resource-related indicators include:

[0142] (1) Parking lot quantity index (unit: parking lot), refers to the number of parking lots in the block; denoted as, TCCZB:

[0143] TCCZB = ∑Number of large parking lots × 3 + ∑Number of medium-sized parking lots × 2 + ∑Number of small parking lots × 1

[0144]

[0145] (2) Residential area quantity index (unit: percentage), refers to the number of residential areas in the block; denoted as, JMZB:

[0146] JMZB=∑Large residential community×3+∑Medium residential community×2+∑General residential community×1

[0147]

[0148] (3) The number of transportation hubs (unit: percentage) refers to the number of transportation hubs in the block; denoted as JTSJZB:

[0149] JTSJZB=∑Number of transportation hubs×3

[0150]

[0151] (4) Gas station quantity index (unit: vehicle), refers to the number of gas stations in the block; denoted as, JYZZB:

[0152] JYZZB=∑Number of gas stations×2

[0153]

[0154] (5) Shopping service quantity index (unit: piece), refers to the number of shopping services in the block; denoted as, GWFWZB:

[0155] GWFWZB=∑Number of shopping service plazas×2

[0156]

[0157] (6) Car service quantity index (unit: piece), refers to the number of car services in the block; denoted as, QCFWZB:

[0158] QCFWZB=∑Number of car services×2

[0159]

[0160] (7) Company quantity index (unit: number), refers to the number of companies in the block; denoted as GSQYZB:

[0161] GSQYZB = ∑ number of large enterprises × 3 + ∑ number of medium-sized enterprises × 2 + ∑ number of general enterprises × 1

[0162]

[0163] (8) Public facilities quantity index (unit: piece), refers to the number of public facilities in the block; denoted as GGSSZB:

[0164] GGSSZB = ∑ number of large public facilities × 3 + ∑ number of medium-sized public facilities × 2 + ∑ number of general public facilities × 1

[0165]

[0166] (9) The number of government agencies and social groups (unit: number) refers to the number of government agencies and social groups in the block; denoted as ZFJGZB:

[0167] ZFJGZB=ΣNumber of mechanisms×3

[0168]

[0169] (10) The number of scientific, educational and cultural organizations (unit: number) refers to the number of scientific, educational and cultural organizations in the block; denoted as WHZZZB:

[0170]

[0171] (11) Catering service quantity index (unit: number), refers to the number of catering services in the block; denoted as, CYFWZB:

[0172] CYFWZB = ∑Number of large restaurants × 3 + ∑Number of medium-sized restaurants × 2 + ∑Number of general restaurants × 1

[0173]

[0174] (12) The number of living service facilities (unit: number) refers to the number of living service facilities in the block; denoted as SHFWZB:

[0175] SHFWZB=ΣNumber of life services×2

[0176]

[0177] (13) The number of leisure facilities (unit: number) refers to the number of leisure facilities in the block; denoted as XXZB:

[0178] XXZB = ΣNumber of large leisure centers × 2 + ΣNumber of medium-sized leisure centers × 1

[0179]

[0180] (14) The number of medical facilities (unit: number) refers to the number of medical facilities in the block; denoted as YLZB:

[0181] YLZB=∑Number of hospitals×3+∑Number of medical services×2

[0182]

[0183] (15) Scenic spot quantity index (unit: number), refers to the number of scenic spots in the block; denoted as, FJMSZB:

[0184] FJMSZB=∑number of five-stars×4+∑number of four-stars×3+∑number of three-stars×2+∑number of others×1

[0185]

[0186] Note: The value of N is as follows: if the social resource related index is greater than or equal to 1, then take the index value; if it is equal to 0, take 1; then sum it up to get the N value. It can be expressed as:

[0187] N = ∑ (index value ≥ 1? Index value: 1)

[0188] Table 1 Calculation examples of social resource related indicators

[0189]

[0190]

[0191] According to the data in Table 1, N is the sum of all values ​​involved in the summation, that is: N = 3 + 7 + 1 + 2 + 1 + 2 + 8 + 1 + 6 + 1 + 10 + 6 + 3 + 2 + 1 = 54

[0192] Table 2 Specific data of social resource related indicators

[0193]

[0194]

[0195] According to Table 2, the sum of the relevant weights of social resources is:

[0196]

[0197] Step 9: Calculate the total weighted score of all indicators in each region. The total score is: Vtotal. The calculation formula is as follows:

[0198] V total = Σ each weight

[0199] Step 10: Classify according to the total score.

[0200] Interval 1: 1.0 ≤ Vtotal < 2.0

[0201] Interval 2: 2.0 ≤ Vtotal < 3.0

[0202] Interval 3: Vtotal ≥ 3.0

[0203] Step 11: According to the classification level and the ratio of vehicles to charging piles, determine the scale of charging facility construction.

[0204] Site scale:

[0205] Zone 1: Small charging station.

[0206] Zone 2: Medium-sized charging station.

[0207] Zone 3: Large charging station.

[0208] Note: A large public DC fast charging station refers to a public DC fast charging station with more than 40 charging parking spaces; a medium-sized public DC fast charging station refers to a public DC fast charging station with 16-39 charging parking spaces; and a small public DC fast charging station refers to a public DC fast charging station with less than 15 charging parking spaces.

[0209] Step 12: The charging facility planning model is fed back into the charging facility planning model according to the formed station construction scale results to verify the correctness of the model and output the model results, including 1. Station location recommendation: Based on the geographic location information, the specific location of the charging station planned by the model is recommended and marked on the map; 2. Charging pile quantity recommendation: Recommend the construction scale of the charging station, plan the number of fast charging piles and slow charging piles, and recommend the rated power of the charging pile configuration; 3. Charging capacity recommendation: According to the station construction scale, calculate the charging pile capacity planned for the station construction and the recommended reported capacity.

[0210] Embodiment 2

[0211] This embodiment provides a charging facility planning system.

[0212] A charging facility planning system, comprising:

[0213] A data acquisition module, which is configured to: acquire charging facility related data, new energy vehicle related data, and social resource related data;

[0214] A partition setting module is configured to: divide the area to be planned into blocks and design weight thresholds of key indicators;

[0215] A weight calculation module, which is configured to: calculate charging equipment related indicators and new energy vehicle related indicators based on the charging facility related data and new energy vehicle related data of each block, and determine the weight of each charging equipment related indicator and the weight of each new energy vehicle related indicator based on the weight threshold of the key indicator; calculate social resource related indicators based on the social resource related data of each block, and determine the weight of each social resource related indicator;

[0216] The planning module is configured as follows: obtaining a total weight based on the sum of the weights of all charging equipment-related indicators, the weights of all new energy vehicle-related indicators, and the weights of all social resource-related indicators; and classifying the total weight, and obtaining the construction scale of the charging station according to the divided levels.

[0217] In some embodiments, the division setting module is further configured to: divide the area to be planned into different sizes to obtain blocks of at least two different scales.

[0218] In some embodiments, the division setting module is also configured to: respectively design the weight threshold of the car-to-pile ratio within the block, the weight threshold of the number of charging stations within the block, the weight threshold of the number of charging piles within the block, the weight threshold of the average daily number of orders within the block, the weight threshold of the average daily charging amount within the block, the weight threshold of the number of new energy vehicles in the block, the weight threshold of the development trend of new energy vehicles in the block, the weight threshold of the percentage of new energy vehicles in the total vehicles in the block, and the weight threshold of new energy vehicles per thousand people in the block.

[0219] In some embodiments, the weight calculation module is further configured to:

[0220] The car-to-pile ratio is calculated according to the ratio of the number of new energy vehicles to the number of charging piles. If the car-to-pile ratio is greater than the weight threshold of the car-to-pile ratio, the weight of the car-to-pile ratio is the first set value; otherwise, the weight of the car-to-pile ratio is zero.

[0221] Calculate the number of charging stations in use in the block. If the number of charging stations is greater than a weight threshold of the number of charging stations in the block, the weight of the number of charging stations is a first set value; otherwise, the weight of the number of charging stations is zero.

[0222] Calculate the number of charging piles in the block. If the number of charging piles is greater than the weight threshold of the number of charging piles in the block, the weight of the number of charging piles is the first set value; otherwise, the weight of the total number of charging piles is zero;

[0223] Calculate the charging pile availability in the block, and obtain the weight of the charging pile availability according to the first set value × (1-charging pile availability);

[0224] Calculate the average daily order quantity in the block. If the average daily order quantity is greater than the weight threshold of the average daily order quantity in the block, the weight of the average daily order quantity is the first set value. Otherwise, the weight of the average daily order quantity is zero.

[0225] Calculating the time utilization rate of the DC charging pile, and obtaining the weight of the time utilization rate of the DC charging pile according to the product of the time utilization rate of the DC charging pile and the first set value;

[0226] Calculating the capacity utilization rate of the DC charging pile, and obtaining the weight of the capacity utilization rate of the DC charging pile according to the product of the capacity utilization rate of the DC charging pile and the first set value;

[0227] Calculating the time utilization rate of the AC charging pile, and obtaining the weight of the time utilization rate of the AC charging pile according to the product of the time utilization rate of the AC charging pile and the first set value;

[0228] Calculating the capacity utilization rate of the AC charging pile, and obtaining the weight of the capacity utilization rate of the AC charging pile according to the product of the capacity utilization rate of the AC charging pile and the first set value;

[0229] The average daily charge amount is calculated. If the average daily charge amount is greater than the weight threshold of the average daily charge amount in the block, the weight of the average daily charge amount is the first set value. Otherwise, the weight of the average daily charge amount is zero.

[0230] In some embodiments, the weight calculation module is further configured to:

[0231] According to the number of new energy vehicles registered, the number of new energy vehicles is obtained. If the number of new energy vehicles is greater than the weight threshold of the number of new energy vehicles in the block, the weight of the number of new energy vehicles is the second set value, otherwise, the weight of the number of new energy vehicles is zero;

[0232] According to the ratio of the difference between the number of new energy vehicles this year and last year and the number of new energy vehicles this year, the development trend of new energy vehicles is obtained. If the development trend of new energy vehicles is greater than the weight threshold of the development trend of new energy vehicles in the block, the weight of the development trend of new energy vehicles is the second set value, otherwise, the weight of the development trend of new energy vehicles is zero;

[0233] According to the ratio of the number of new energy vehicles to all vehicles, the proportion of new energy vehicles is obtained. If the proportion of new energy vehicles is greater than the weight threshold of the percentage of new energy vehicles in the total number of vehicles in the block, the weight of the proportion of new energy vehicles is the second set value, otherwise, the weight of the proportion of new energy vehicles is zero;

[0234] Calculate the average number of new energy vehicles per thousand people. If the average number of new energy vehicles per thousand people is greater than the weight threshold of new energy vehicles per thousand people in the block, the weight of the average number of new energy vehicles per thousand people is the second set value; otherwise, the weight of the average number of new energy vehicles per thousand people is zero.

[0235] In some embodiments, the weight calculation module is further configured to:

[0236] According to the number of parking lots in each block, calculate the number of parking lots and The product of gets the weight of the number of parking lots;

[0237] According to the number of residential areas in each block, the number of residential areas and The product of , we get the weight of the number of residential areas;

[0238] According to the number of transportation hubs in each block, the number of transportation hubs and The product of , we get the weight of the number of transportation hubs;

[0239] According to the number of gas stations in each block, calculate the number of gas stations and The product of , gets the weight of the number of gas stations;

[0240] According to the number of shopping services in each block, the number of shopping services and The product of , gets the weight of the number of shopping services;

[0241] According to the number of car services in each block, the number of car services and The product of , gets the weight of the number of car services;

[0242] According to the number of companies in each block, the number of companies and enterprises is calculated. The product of , we get the weight of the number of companies;

[0243] According to the number of public facilities in each block, the number of public facilities and The product of , we get the weight of the number of public facilities;

[0244] According to the number of government agencies and social groups in each block, the number of government agencies and social groups is calculated. The product of and is used to obtain the weights of the number of government agencies and social groups;

[0245] According to the number of scientific, educational and cultural organizations in each block, the number of scientific, educational and cultural organizations and The product of , we get the weight of the number of science, education and culture organizations;

[0246] According to the number of catering services in each block, the number of catering services and The product of , we get the weight of the number of catering services;

[0247] According to the number of living service facilities in each block, the number of living service facilities and The product of is used to obtain the weight of the number of living service facilities;

[0248] According to the number of leisure facilities in each block, the number of leisure facilities and The product of , we get the weight of the number of leisure facilities;

[0249] According to the number of medical facilities in each block, the number of medical facilities and The product of is used to obtain the weight of the number of medical facilities;

[0250] According to the number of scenic spots in each block, the number of scenic spots and The product of , we get the weight of the number of scenic spots;

[0251] Among them, N = Σ(index value ≥ 1? Index value: 1), the index values ​​include: the number of parking lots, the number of residential areas, the number of transportation hubs, the number of gas stations, the number of shopping services, the number of car services, the number of companies and enterprises, the number of public facilities, the number of government agencies and social groups, the number of scientific, educational and cultural organizations, the number of catering services, the number of living service facilities, the number of leisure facilities, the number of medical facilities and the number of scenic spots.

[0252] In some embodiments, the planning module is further configured to:

[0253] Furthermore, the total weight is graded, and the construction scale of the charging station is obtained according to the graded grades; the method includes:

[0254] The total weight is divided into a first-level weight, a second-level weight and a third-level weight, wherein the first-level weight is greater than or equal to 1 and less than 2, the second-level weight is greater than or equal to 2 and less than 3, and the third-level weight is greater than or equal to 3;

[0255] According to the first level weight, small charging stations are established; according to the second level weight, medium-sized charging stations are established; according to the third level weight, large charging stations are established.

[0256] Embodiment 3

[0257] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the charging facility planning method described in the first embodiment are implemented.

[0258] Embodiment 4

[0259] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the charging facility planning method described in the first embodiment are implemented.

[0260] Embodiment 5

[0261] This embodiment provides a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the steps in the charging facility planning method described in the first embodiment.

[0262] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0263] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0264] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0265] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0266] The above description is only a preferred embodiment of the present invention and is 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 charging facility planning method, characterized in that: include: Obtain data related to charging facilities, new energy vehicles, and social resources; Divide the area to be planned into blocks and design weight thresholds for key indicators; Based on the charging facility-related data and new energy vehicle-related data of each block, the charging equipment-related indicators and new energy vehicle-related indicators are calculated respectively, and the weight of each charging equipment-related indicator and the weight of each new energy vehicle-related indicator are determined respectively in combination with the weight threshold of the key indicators; Based on the social resource-related data of each block, calculate the social resource-related indicators and determine the weight of each social resource-related indicator; The total weight is obtained based on the sum of the weights of all charging equipment related indicators, the weights of all new energy vehicle related indicators, and the weights of all social resource related indicators; The total weight is divided into levels, and the construction scale of the charging station is obtained according to the levels.

2. The charging facility planning method according to claim 1, characterized in that: The method for dividing the area to be planned into blocks includes: dividing the area to be planned into blocks of different sizes to obtain blocks of at least two different sizes.

3. The charging facility planning method according to claim 1, characterized in that: The weight thresholds of the key indicators are designed, including: respectively designing a weight threshold of the car-to-pile ratio within the block, a weight threshold of the number of charging stations within the block, a weight threshold of the number of charging piles within the block, a weight threshold of the average daily number of orders within the block, a weight threshold of the average daily charging volume within the block, a weight threshold of the number of new energy vehicles in the block, a weight threshold of the development trend of new energy vehicles in the block, a weight threshold of the percentage of new energy vehicles in the total vehicles in the block, and a weight threshold of new energy vehicles per thousand people in the block.

4. The charging facility planning method according to claim 3, characterized in that: Based on the charging facility related data of each block, the charging equipment related indicators are calculated, and the weight of each charging equipment related indicator is determined in combination with the weight threshold of the key indicator; the method includes: The vehicle-to-pile ratio is calculated according to the ratio of the number of new energy vehicles to the number of charging piles. If the vehicle-to-pile ratio is greater than the weight threshold of the vehicle-to-pile ratio, the weight of the vehicle-to-pile ratio is the first set value; otherwise, the weight of the vehicle-to-pile ratio is zero. Calculate the number of charging stations in use in the block. If the number of charging stations is greater than the weight threshold of the number of charging stations in the block, the weight of the number of charging stations is a first set value; otherwise, the weight of the number of charging stations is zero. Calculate the number of charging piles in the block. If the number of charging piles is greater than the weight threshold of the number of charging piles in the block, the weight of the number of charging piles is the first set value; otherwise, the weight of the total number of charging piles is zero; Calculate the charging pile availability in the block, and obtain the weight of the charging pile availability according to the first set value × (1-charging pile availability); Calculate the average daily order quantity in the block. If the average daily order quantity is greater than the weight threshold of the average daily order quantity in the block, the weight of the average daily order quantity is the first set value. Otherwise, the weight of the average daily order quantity is zero. Calculating the time utilization rate of the DC charging pile, and obtaining the weight of the time utilization rate of the DC charging pile according to the product of the time utilization rate of the DC charging pile and the first set value; Calculating the capacity utilization rate of the DC charging pile, and obtaining the weight of the capacity utilization rate of the DC charging pile according to the product of the capacity utilization rate of the DC charging pile and the first set value; Calculating the time utilization rate of the AC charging pile, and obtaining the weight of the time utilization rate of the AC charging pile according to the product of the time utilization rate of the AC charging pile and the first set value; Calculating the capacity utilization rate of the AC charging pile, and obtaining the weight of the capacity utilization rate of the AC charging pile according to the product of the capacity utilization rate of the AC charging pile and the first set value; The average daily charge amount is calculated. If the average daily charge amount is greater than the weight threshold of the average daily charge amount in the block, the weight of the average daily charge amount is the first set value. Otherwise, the weight of the average daily charge amount is zero.

5. The charging facility planning method according to claim 3, characterized in that: Based on the new energy vehicle related data of each block, the new energy vehicle related indicators are calculated, and the weight of each new energy vehicle related indicator is determined in combination with the weight threshold of the key indicators; the method includes: According to the number of new energy vehicles registered, the number of new energy vehicles is obtained. If the number of new energy vehicles is greater than the weight threshold of the number of new energy vehicles in the block, the weight of the number of new energy vehicles is the second set value, otherwise, the weight of the number of new energy vehicles is zero; According to the ratio of the difference between the number of new energy vehicles this year and last year and the number of new energy vehicles this year, the development trend of new energy vehicles is obtained. If the development trend of new energy vehicles is greater than the weight threshold of the development trend of new energy vehicles in the block, the weight of the development trend of new energy vehicles is the second set value, otherwise, the weight of the development trend of new energy vehicles is zero; According to the ratio of the number of new energy vehicles to all vehicles, the proportion of new energy vehicles is obtained. If the proportion of new energy vehicles is greater than the weight threshold of the percentage of new energy vehicles in the total number of vehicles in the block, the weight of the proportion of new energy vehicles is the second set value, otherwise, the weight of the proportion of new energy vehicles is zero; Calculate the average number of new energy vehicles per thousand people. If the average number of new energy vehicles per thousand people is greater than the weight threshold of new energy vehicles per thousand people in the block, the weight of the average number of new energy vehicles per thousand people is the second set value; otherwise, the weight of the average number of new energy vehicles per thousand people is zero.

6. The charging facility planning method according to claim 1, characterized in that: Based on the social resource related data of each block, calculate the social resource related indicators and determine the weight of each social resource related indicator; the method includes: According to the number of parking lots in each block, calculate the number of parking lots and The product of gets the weight of the number of parking lots; According to the number of residential areas in each block, the number of residential areas and The product of , we get the weight of the number of residential areas; According to the number of transportation hubs in each block, the number of transportation hubs and The product of , we get the weight of the number of transportation hubs; According to the number of gas stations in each block, calculate the number of gas stations and The product of , gets the weight of the number of gas stations; According to the number of shopping services in each block, the number of shopping services and The product of , gets the weight of the number of shopping services; According to the number of car services in each block, the number of car services and The product of , gets the weight of the number of car services; According to the number of companies in each block, the number of companies and enterprises is calculated. The product of , we get the weight of the number of companies; According to the number of public facilities in each block, the number of public facilities and The product of , we get the weight of the number of public facilities; According to the number of government agencies and social groups in each block, the number of government agencies and social groups is calculated. The product of and is used to obtain the weights of the number of government agencies and social groups; According to the number of scientific, educational and cultural organizations in each block, the number of scientific, educational and cultural organizations and The product of , we get the weight of the number of science, education and culture organizations; According to the number of catering services in each block, the number of catering services and The product of , we get the weight of the number of catering services; According to the number of living service facilities in each block, the number of living service facilities and The product of is used to obtain the weight of the number of living service facilities; According to the number of leisure facilities in each block, the number of leisure facilities and The product of , we get the weight of the number of leisure facilities; According to the number of medical facilities in each block, the number of medical facilities and The product of and is used to obtain the weight of the number of medical facilities; According to the number of scenic spots in each block, the number of scenic spots and The product of , we get the weight of the number of scenic spots; Where N = ∑(index value ≥ 1?index value: 1), the index values ​​include: number of parking lots, number of residential areas, number of transportation hubs, number of gas stations, number of shopping services, number of car services, number of companies and enterprises, number of public facilities, number of government agencies and social groups, number of scientific, educational and cultural organizations, number of catering services, number of living service facilities, number of leisure facilities, number of medical facilities and number of scenic spots; Or, the total weight is graded, and the construction scale of the charging station is obtained according to the graded grades; the method includes: The total weight is divided into a first-level weight, a second-level weight and a third-level weight, wherein the first-level weight is greater than or equal to 1 and less than 2, the second-level weight is greater than or equal to 2 and less than 3, and the third-level weight is greater than or equal to 3; According to the first level weight, small charging stations are established; according to the second level weight, medium-sized charging stations are established; according to the third level weight, large charging stations are established.

7. A charging facility planning system, characterized in that: include: A data acquisition module, which is configured to: acquire charging facility related data, new energy vehicle related data, and social resource related data; A partition setting module is configured to: divide the area to be planned into blocks and design weight thresholds of key indicators; A weight calculation module, which is configured to: calculate charging equipment related indicators and new energy vehicle related indicators based on the charging facility related data and new energy vehicle related data of each block, and determine the weight of each charging equipment related indicator and the weight of each new energy vehicle related indicator in combination with the weight threshold of the key indicator; Based on the social resource-related data of each block, calculate the social resource-related indicators and determine the weight of each social resource-related indicator; A planning module, which is configured to: obtain a total weight based on the cumulative sum of the weights of all charging equipment related indicators, the weights of all new energy vehicle related indicators, and the weights of all social resource related indicators; The total weight is divided into levels, and the construction scale of the charging station is obtained according to the levels.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the charging facility planning method as described in any one of claims 1 to 6 are implemented.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the charging facility planning method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps in the charging facility planning method according to any one of claims 1 to 6 are implemented.

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