Charging station non-electric service demand evaluation and function configuration method

Abstract

The invention relates to a charging station non-electric service demand evaluation and function configuration method, and belongs to the field of new energy automobile supporting facility evaluation. The problem that at present, an existing charging station lacks a scientific and systematic method in the aspect of non-electric service function configuration is solved. According to the invention, data is obtained through multiple channels, and surrounding conditions and customer demands are analyzed for different types of charging stations. Related numerical values are calculated to evaluate the market, a non-electric service function is configured, and a dynamic mechanism is established. The service quality and the operation efficiency of the charging station are improved, diversified requirements are met, and development of new energy automobile supporting facilities is promoted.

Description

Technical Field

[0001] The invention relates to a method for evaluating non-electric service demand and configuring functions of a charging station, and belongs to the field of evaluation of supporting facilities for new energy vehicles. Background Art

[0002] With the rapid development of the electric vehicle market, the number of charging stations is increasing. However, there are many problems in the configuration of non-electric service functions of charging stations, which seriously affects the service quality and market competitiveness of charging stations.

[0003] Charging stations lack effective ways to understand and accurately judge the non-electric service needs of surrounding customers. In actual operations, due to the failure to fully consider the diversity and personalized needs of surrounding customer groups, there is a large deviation between the non-electric services provided and actual needs. For example, charging stations in some commercial areas may over-configure services related to residents' daily needs, while ignoring business customers' needs for quick office and business social venues; while charging stations near residential areas may fail to provide services that meet residents' basic needs such as daily shopping and leisure. This inaccurate demand identification makes it difficult for charging stations' non-electric services to attract customers and has low utilization rates.

[0004] When planning and adding non-electric services, charging stations lack scientific and systematic methods to evaluate the saturation of the surrounding market for various business formats. Without clear quantitative indicators and analytical methods, it is difficult for charging stations to determine whether a certain non-electric service has reached market saturation in a specific area. This can easily lead to blind follow-up investment. For example, if the number of convenience stores in a certain area is already saturated, adding convenience store services will not only waste resources, but may also intensify market competition, reduce the profit margins of service providers, and even affect the operating efficiency of the entire charging station.

[0005] The current configuration of non-electric service functions of charging stations is mostly based on experience or subjective judgment, lacking rigorous scientific analysis as support. There are significant differences in the demand for non-electric services among charging stations of different types and sizes, as well as customer groups with different consumption levels and demand characteristics, but these factors are not fully considered in the actual configuration process. For example, charging stations in large highway service areas are completely different from small community charging stations in terms of customer flow, dwell time, consumer demand, etc., and targeted non-electric services should be provided. However, the existing configuration methods often cannot accurately match these differences, resulting in the inability to effectively meet customer expectations in the setting of service functions, reducing customer satisfaction and loyalty.

[0006] In summary, existing charging stations urgently need a scientific and systematic method for configuring non-electric service functions to accurately identify demand, evaluate market saturation, and achieve reasonable configuration of functions to adapt to market development and changes in customer needs and enhance their comprehensive competitiveness. The present invention is an innovative solution proposed based on this background. Summary of the invention

[0007] The present invention proposes a method for evaluating the demand for non-electrical services and configuring functions of a charging station, so as to solve the problem that there is no scientific and systematic method to implement the configuration of non-electrical service functions of existing charging stations.

[0008] A method for evaluating non-electrical service demand and configuring functions of a charging station, the method comprising the following steps:

[0009] S1. Acquire target customer data within a preset range around the charging station, wherein the target customer data includes electric vehicle related data, population data, and point of interest data;

[0010] S2. Calculate the total number of reachable customers based on the target customer data;

[0011] S3. Select a representative and comparable analysis area, and calculate the standard value of "number of stores per 10,000 people" based on the total population and number of stores in the selected analysis area;

[0012] S4. Estimate the theoretical demand quantity of a specific business format based on the standard value of "number of stores per 10,000 people" and the total number of people that can be reached;

[0013] S5. Collect supply data of existing non-electric business formats around charging stations and compare it with theoretical demand quantity to evaluate market saturation;

[0014] S6. Summarize the service setting characteristics of each type of charging station based on its type, scale and customer group characteristics;

[0015] S7. Based on customer needs and site characteristics, recommend and configure non-electric service functions for charging stations.

[0016] Furthermore, in S1, obtaining target customer data includes the following steps:

[0017] S11, obtaining electric vehicle related data within a preset range around the charging station through a map navigation platform, wherein the electric vehicle related data includes location information, driving trajectory data, and travel habit data of the electric vehicle owner;

[0018] S12. Combining official census data with regional population dynamics monitoring data to obtain population data, the population data including population size distribution, age structure distribution, and population mobility trend data;

[0019] S13. Use a commercial geographic information system or related data platform to obtain point of interest data, where the point of interest data includes the type, quantity, scale and business hours of surrounding commercial facilities, where the types of commercial facilities at least include convenience stores, restaurants, car service stores and leisure and entertainment venues.

[0020] Further, S2 includes the following steps:

[0021] S21. Screening and analyzing electric vehicle related data obtained from the map navigation platform to determine the number of charging vehicle customers within a preset range around the charging station, wherein the screening conditions include records of vehicles being in the vicinity of the charging station within a preset time period and having charging behavior or charging demand characteristics;

[0022] S22. According to the population distribution information and the geographic area in the population data, combined with the geographic area, the number of residents or working people within the vicinity who can be reached by foot is estimated through a preset population density calculation model, that is, the number of surrounding walking customers, wherein the number of surrounding walking customers is calculated according to the following formula;

[0023]

[0024] Where n is the number of sub-areas into which the geographical area around the charging station is divided;

[0025] P i is the population of the ith sub-region, obtained from the population distribution information in the population data obtained in S1;

[0026] A i，可达 It is the area that people can reach on foot in the ith sub-area after considering the geographical terrain and transportation convenience;

[0027] A i，总 is the total area of ​​the th sub-region;

[0028] T i Represents the terrain characteristic parameters of the i-th sub-area;

[0029] G i represents the transportation convenience parameter of the ith sub-area;

[0030] f(T i , G i ) is an adjustment function that comprehensively considers the impact of terrain and traffic convenience on people's walking accessibility.

[0031] S23. Add the determined number of charging car customers and the estimated number of surrounding walking customers to obtain the total number of reachable people, calculated by the following formula: total number of reachable people = number of charging car customers + number of surrounding walking customers, where the calculations of the number of charging car customers and the number of surrounding walking customers are both accurate to integers.

[0032] Furthermore, in S3, the following steps are included:

[0033] S31. Select a representative analysis area;

[0034] S32. Calculate the standard value of “number of stores per 10,000 people” according to the total population of the analysis area and the number of stores in the area, using the following formula:

[0035]

[0036] This formula can be used to determine how many stores of a specific business format should be set up per 10,000 people.

[0037] Furthermore, in S4, the following steps are included:

[0038] S41. Based on the standard value of “number of stores per 10,000 people” calculated in the previous stage, apply it to the total number of people that can be reached within the target range to estimate the theoretical demand for a specific business format in the area;

[0039] S42, based on the extracted key attribute information and the calculated standard value of "number of stores per 10,000 people" and the total number of people that can be reached, use the following formula to calculate the theoretical demand for convenience stores in a specific format:

[0040]

[0041] Among them, the correlation coefficient between this business format and other business formats is determined based on historical market data and industry experience, with a value range of 0-1, and the accuracy of the calculation result is ensured to be consistent with the original data, and the final result is accurate to one decimal place.

[0042] Furthermore, in S5,

[0043] S51. Obtain a list of merchants within 0.5 to 2 kilometers of the charging station through the local business management agency, select merchants that provide non-electric services, and determine the existing supply quantity;

[0044] S52. Compare the theoretical demand quantity of convenience stores calculated by S42 with the existing supply quantity. If the theoretical demand quantity of convenience stores is greater than the existing supply quantity of convenience stores, it means that there is potential demand in the market and non-electrical service functions can be added; if the theoretical demand quantity is less than or equal to the existing supply quantity, it indicates that the market has become saturated and the necessity of adding non-electrical service functions is low.

[0045] Furthermore, in S6, the following steps are included:

[0046] S61. In addition to charging stations at highway service areas and urban public charging stations, charging stations around scenic spots should provide souvenir retail services related to the characteristics of the scenic spots, fast food services, and comfortable rest areas for tourists to take a short break and pack their luggage, in view of tourists' touring rhythm and consumption psychology. At the same time, tourist information consultation points should be set up to provide tourists with scenic spot guides and ticket booking value-added services;

[0047] S62. Charging stations at transportation hubs should be equipped with luggage storage services, grab-and-go food and beverage sales areas, and electronic devices or service desks that provide real-time transportation information inquiries, as passengers have limited time to transfer and have a lot of luggage;

[0048] S63. In addition to the diversified service functions of large charging stations, extra-large charging stations reserve sufficient space for hosting small commercial activities or industry exhibitions. At the same time, according to the changes in customer flow in different seasons and time periods, the opening hours and resource allocation of service function areas are dynamically adjusted; during the peak travel period during holidays, catering service personnel and food reserves are increased to ensure that service quality is not affected by the sharp increase in customer flow;

[0049] S64. Micro charging stations are set up in small communities, remote villages or temporary activity venues. Such charging stations serve a small number of fixed customers in the surrounding area or temporary emergency charging needs. The service functions focus on the most basic charging services and simple safety facilities. At the same time, they provide limited non-electric services through cooperation with surrounding small businesses.

[0050] S65. According to the age of customers, the consumption habits of young customers tend to be digital and fashionable, while the elderly customers pay attention to traditional manual services and easy-to-understand operation instructions. In the design of service facilities, large fonts are used to simplify the operation process and special service personnel are equipped to provide assistance.

[0051] S66. Aiming at different professional customers, we provide business customers with quiet, independent office space and high-speed and stable network environment so that they can handle work affairs during the charging process; we provide manual laborers with affordable meals and sufficient rest facilities to restore their physical strength.

[0052] Furthermore, in S7, the following steps are included:

[0053] S71, constructing a database containing a wealth of non-electrical service function options, wherein the functions in the database are classified and stored according to different categories;

[0054] S72. Based on the analysis results of the service demand characteristics obtained in S66, the functions in the database are screened. For charging stations whose main customer groups are residents and office workers, if the analysis results show that customers have high demands for life convenience and catering services, convenience stores, fast food restaurants and coffee bars are screened from the life service category and leisure and entertainment category. If the charging station is located in a science and technology park, office building or business center, and the customer has strong business office needs, conference room, high-speed network access service and business negotiation area functions are selected from the business office category.

[0055] S73. Consider the spatial layout and actual available area of ​​the charging station, reasonably arrange and optimize the selected functions. For small charging stations with limited space, give priority to equipment or services with small footprint and high functional integration. For large charging stations with more ample space, set up relatively independent functional areas, and ensure that customers can use these non-electric service functions conveniently during the charging process through reasonable channel design and sign guidance.

[0056] S74. Allocate corresponding service resources according to the prediction of customer traffic and peak usage period;

[0057] S75. Establish a dynamic monitoring and feedback mechanism for service functions, collect customer feedback on non-electrical service functions through customer evaluation systems and service usage data statistics. If it is found that the usage rate of a certain function is low or customer satisfaction is not high, adjust or replace the function in a timely manner; if customers generally reflect that the quality of catering services needs to be improved, replace catering suppliers or adjust the menu in a timely manner;

[0058] S76. Regularly conduct research and analysis on market demand and industry development trends, optimize and upgrade non-electric service functions based on new market changes and customer demand dynamics, and if new value-added service demands related to new energy vehicles emerge in the market, promptly incorporate these functions into the charging station service system.

[0059] A storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned method for evaluating and configuring the non-electric service demand of a charging station.

[0060] A computer device comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the above-mentioned method for evaluating non-electric service demand and configuring functions of a charging station.

[0061] Beneficial effects of the present invention: The method for evaluating and configuring the non-electric service demand of a charging station of the present invention integrates data from multiple channels and can fully understand the situation around the charging station. For different types of charging stations, such as charging stations in residential areas, office buildings, around scenic spots, and transportation hubs, analysis is conducted based on their characteristics to meet the needs of various customers. Through scientific calculation and comparative evaluation, an accurate basis is provided for the configuration of non-electric service functions. At the same time, the service demand characteristics are analyzed according to different factors, non-electric service functions are reasonably configured, and a dynamic mechanism is established to maintain competitiveness. This method can improve the service quality and operational efficiency of charging stations, meet diversified needs, and promote sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 The present invention is a method flow chart of a method for evaluating non-electric service demand and configuring functions of a charging station. DETAILED DESCRIPTION

[0063] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] Reference Figure 1 As shown, a method for evaluating the demand for non-electrical services and configuring functions of a charging station is provided, and the method for evaluating the demand for non-electrical services and configuring functions of a charging station comprises the following steps:

[0065] S1. Acquire target customer data within a preset range around the charging station, wherein the target customer data includes electric vehicle related data, population data, and point of interest data;

[0066] S2. Calculate the total number of reachable customers based on the target customer data;

[0067] S3. Select a representative and comparable analysis area, and calculate the standard value of "number of stores per 10,000 people" based on the total population and number of stores of each type in the selected analysis area;

[0068] S4. Estimate the theoretical demand quantity of a specific business format based on the standard value of "number of stores per 10,000 people" and the total number of people that can be reached;

[0069] S5. Collect supply data of existing non-electric business formats around charging stations and compare it with theoretical demand quantity to evaluate market saturation;

[0070] S6. Summarize the service setting characteristics of each type of charging station based on its type, scale and customer group characteristics;

[0071] S7. Based on customer needs and site characteristics, recommend and configure non-electrical service functions for charging stations.

[0072] Furthermore, in S1, obtaining target customer data includes the following steps:

[0073] S11, obtaining electric vehicle related data within a preset range around the charging station through a map navigation platform, wherein the electric vehicle related data includes location information, driving trajectory data, and travel habit data of the electric vehicle owner;

[0074] S12. Combining official census data with regional population dynamics monitoring data to obtain population data, the population data including population size distribution, age structure distribution, and population mobility trend data;

[0075] S13. Use a commercial geographic information system or related data platform to obtain point of interest data, where the point of interest data includes the type, quantity, scale and business hours of surrounding commercial facilities, where the types of commercial facilities at least include convenience stores, restaurants, car service stores and leisure and entertainment venues.

[0076] Specifically, for charging stations in residential areas, focus on analyzing the impact of parameters such as the number of households and permanent population in population distribution, as well as the proportion of the elderly and children in the age structure distribution on the demand for non-electric services. For example, if the proportion of the elderly is high, there may be a greater demand for services such as medical emergency facilities and convenient shopping. Combined with the number and scale of convenience stores and small supermarkets in surrounding commercial facilities, assess the degree to which residents' daily shopping needs are met, and then determine whether it is necessary to add corresponding non-electric service functions.

[0077] For office charging stations, consider the types and numbers of restaurants, coffee bars, etc. in surrounding commercial facilities, as well as the travel patterns of office workers in population mobility trend data. Determine the degree of demand for functions such as fast food and business negotiation areas based on office workers' working hours and consumption habits. For example, if there are few restaurants around the office building and office workers have a short lunch break, the demand for fast food delivery services may be high.

[0078] For charging stations around scenic spots, analyze the flow and seasonal changes of tourists in population flow trend data. Combined with the number and type of souvenir shops, specialty restaurants, etc. in surrounding commercial facilities, determine the demand for non-electric services related to the characteristics of the scenic spot. For example, if the number of tourists in the scenic spot increases significantly during the peak tourist season, the demand for fast food services, rest areas, etc. will also increase accordingly.

[0079] For charging stations at transportation hubs, determine the demand for grab-and-go food and beverages, efficient and convenient luggage storage services, etc. based on the transfer time and flow of passengers in population mobility trend data, as well as the size and number of food and beverage sales areas and luggage storage services in surrounding commercial facilities. For example, if the transfer time of passengers at a transportation hub is tight, there will be a high demand for fast charging and convenient shopping services.

[0080] Furthermore, in S2, the following steps are included:

[0081] S21. Screening and analyzing electric vehicle related data obtained from the map navigation platform to determine the number of charging vehicle customers within a preset range around the charging station, wherein the screening conditions include records of vehicles being in the vicinity of the charging station within a preset time period and having charging behavior or charging demand characteristics;

[0082] S22. According to the population distribution information and the geographic area in the population data, combined with the geographic area, the number of residents or working people within the vicinity who can be reached by foot is estimated through a preset population density calculation model, that is, the number of surrounding walking customers, wherein the number of surrounding walking customers is calculated according to the following formula;

[0083]

[0084] Where n is the number of sub-areas into which the geographical area around the charging station is divided;

[0085] P i is the population of the ith sub-region, obtained from the population distribution information in the population data obtained in S1;

[0086] A i，可达 It is the area that people can reach on foot in the ith sub-region after considering the geographical terrain and traffic convenience. Its calculation may require the use of geographic information system (GIS) data and traffic network analysis. For example, the effective area where people can actually walk to the charging station can be determined based on factors such as terrain slope and road accessibility.

[0087] A i，总 is the total area of ​​the th sub-region;

[0088] T i Represents the terrain characteristic parameters of the i-th sub-area, such as slope, altitude change, etc. These parameters affect the difficulty of walking and can be quantified by geographic terrain data;

[0089] G i represents the traffic convenience parameters of the ith sub-region, such as road density, public transportation station distribution, etc., which can be determined through traffic network data and related analysis;

[0090] f(T i , Gi ) is an adjustment function that comprehensively considers the impact of terrain and traffic convenience on pedestrian accessibility. For example, it can be a nonlinear function based on experience or research. When the terrain is complex or the traffic is inconvenient, f(T i , G i ) will decrease, thus reducing the calculated number of surrounding walking customers;

[0091] S23. Add the determined number of charging car customers and the estimated number of surrounding walking customers to obtain the total number of reachable people, calculated by the following formula: total number of reachable people = number of charging car customers + number of surrounding walking customers, where the calculations of the number of charging car customers and the number of surrounding walking customers are both accurate to integers.

[0092] Furthermore, in S3, the following steps are included:

[0093] S31. Select a representative analysis area;

[0094] S32. Calculate the standard value of “number of stores per 10,000 people” according to the total population of the analysis area and the number of stores in the area, using the following formula:

[0095]

[0096] Through this formula, we can determine how many stores of a specific business format should be set up per 10,000 people.

[0097] Specifically, during the calculation process, for different types of charging stations, the specific considerations are as follows:

[0098] For charging stations in residential areas, if there are large supermarkets or shopping malls nearby, the weight of small commercial facilities such as convenience stores can be appropriately reduced when calculating the standard value of "number of stores per 10,000 people", because residents may be more inclined to go to large shopping places for centralized shopping.

[0099] For office building charging stations, the focus is on the number and scale of surrounding catering establishments, coffee bars, and other formats, as well as the spending power and time constraints of office workers. For example, if there are many catering establishments around the office building but the prices are high, the standard value of "number of stores per 10,000 people" for affordable catering formats can be appropriately increased.

[0100] For charging stations around scenic spots, the standard value of "number of stores per 10,000 people" for souvenir shops, specialty restaurants and other formats will be adjusted according to the tourist flow and seasonal changes in the scenic spots. During the peak tourist season, the standard value for these formats can be appropriately increased to meet the needs of tourists.

[0101] For charging stations at transportation hubs, the standard value of "number of stores per 10,000 people" for food and beverage sales areas, luggage storage services, and other formats will be adjusted in consideration of passengers' transfer time and consumption needs. For example, if the passenger flow at a transportation hub is large and the transfer time is tight, the standard value for grab-and-go food and beverage sales areas can be appropriately increased.

[0102] Furthermore, in S4, the following steps are included:

[0103] S41. Based on the standard value of "number of stores per 10,000 people" calculated in the previous stage, it can be applied to the total number of people within the target range to estimate the theoretical demand for a specific business format in the area;

[0104] S42, based on the extracted key attribute information and the calculated standard value of "number of stores per 10,000 people" and the total number of people that can be reached, use the following formula to calculate the theoretical demand for convenience stores in a specific format:

[0105]

[0106] Among them, the correlation coefficient between this business format and other business formats is determined based on historical market data and industry experience, with a value range of 0-1, and the accuracy of the calculation result is ensured to be consistent with the original data, and the final result is accurate to one decimal place.

[0107] Specifically, for different types of charging stations, when calculating the theoretical demand quantity for a specific business format, the specific factors to be considered are as follows:

[0108] For charging stations in residential areas, if most residents are families, the theoretical demand for daily necessities, food and other formats in convenience stores can be appropriately increased. At the same time, considering the consumption habits and travel methods of residents, if the surrounding public transportation is convenient, residents may be more inclined to buy daily necessities while going out, in which case the theoretical demand for convenience stores can be appropriately reduced.

[0109] For office charging stations, the theoretical demand for coffee bars, fast-food restaurants and other formats can be increased based on the working hours and consumption needs of office workers. For example, if there are fewer dining options around the office building and office workers have a short lunch break, the theoretical demand for fast-food restaurants can be appropriately increased.

[0110] For charging stations around scenic spots, the theoretical demand for souvenir shops, specialty restaurants and other formats is determined based on the tourist flow and consumption characteristics of the scenic spot. During the peak tourist season, tourists have a greater demand for specialty souvenirs and fast food restaurants, so the theoretical demand for these formats can be appropriately increased.

[0111] For charging stations at transportation hubs, the theoretical demand for food and beverage sales areas, luggage storage services, etc. is determined by considering the transfer time and consumption needs of passengers. If the passenger flow at the transportation hub is large and the transfer time is tight, the demand for grab-and-go food and beverages and efficient and convenient luggage storage services is high, and the theoretical demand for these businesses can be appropriately increased.

[0112] Furthermore, in S5,

[0113] S51. Obtain a list of merchants within 0.5-2 km of the charging station through the local business management agency, and select non-electrical merchants as the existing supply quantity of convenience stores;

[0114] S52. Compare the theoretical demand quantity of convenience stores calculated by S42 with the existing supply quantity of the convenience stores. If the theoretical demand quantity of convenience stores is greater than the existing supply quantity of convenience stores, it means that there is potential demand in the market and non-electrical functions can be added in this area. If the theoretical demand quantity of convenience stores is less than or equal to the existing supply quantity of convenience stores, it indicates that the market has become saturated and the necessity of adding non-electrical functions is low.

[0115] Specifically, for different types of charging stations, the specific factors to consider when evaluating market saturation are as follows:

[0116] For charging stations in residential areas, if there are a large number of existing convenience stores but the service quality is not high, the market saturation can be re-evaluated in combination with residents' feedback and consumption needs. For example, if residents are not satisfied with the product variety and business hours of existing convenience stores, there may still be potential demand even if there is a large number of existing supplies, and it can be considered to introduce new convenience store brands or optimize the services of existing convenience stores.

[0117] For office charging stations, considering the consumption habits and time constraints of office workers, if there are many existing catering places but the prices are high or the tastes are single, it can be considered that the market is not fully saturated, and it is necessary to introduce new catering formats or optimize existing catering services.

[0118] For charging stations around scenic spots, the market saturation situation should be dynamically evaluated based on the seasonal changes of the scenic spots and the flow of tourists. During the peak tourist season, even if there are a large number of existing souvenir shops and catering places, there may still be potential demand due to the surge in tourist demand.

[0119] For charging stations at transportation hubs, based on passengers' transfer time and consumption needs, if the layout of the existing food and beverage sales area is unreasonable or the service efficiency is low, it can be considered that the market is not fully saturated and optimization and improvement are necessary.

[0120] Furthermore, in S6, the following steps are included:

[0121] S61. In addition to charging stations at highway service areas and urban public charging stations, charging stations around scenic spots should focus on providing souvenir retail services related to the characteristics of the scenic spots, fast food services, and comfortable rest areas for tourists to take a short break and pack their luggage, in view of tourists' touring rhythm and consumption psychology. At the same time, tourist information consultation points should be set up to provide tourists with value-added services such as scenic spot guides and ticket reservations;

[0122] S62. Charging stations at transportation hubs should be equipped with efficient and convenient luggage storage services, grab-and-go food and beverage sales areas, and electronic equipment or service desks that provide real-time traffic information in order to meet passengers' charging and basic living needs during their short stays and reduce their travel and inconvenience.

[0123] S63. In addition to the diversified service functions of large charging stations, extra-large charging stations should also reserve sufficient space for hosting small business activities or industry exhibitions, such as new energy vehicle product displays and charging technology exchange activities, to enhance the comprehensive influence and commercial value of the charging stations. At the same time, according to the changes in customer flow in different seasons and time periods, dynamically adjust the opening hours and resource allocation of service function areas. For example, during the high temperature period in summer, appropriately expand the rest area and increase refrigeration equipment; during the peak travel period during holidays, increase catering service staff and food reserves to ensure that service quality is not affected by the sharp increase in customer flow.

[0124] S64. Micro charging stations are usually set up in small communities, remote villages or temporary activity venues. Such charging stations mainly serve a small number of fixed customers in the surrounding area or temporary emergency charging needs. Service functions should focus on the most basic charging services and simple safety facilities, such as setting up awnings and equipping basic fire-fighting equipment. At the same time, limited non-electric services can be provided by cooperating with surrounding small businesses, such as setting up charging fee collection points in nearby grocery stores or providing simple repair tool borrowing services, so as to reduce operating costs and meet the basic needs of customers.

[0125] S65. Based on the consumption habits of customers according to their age groups, young customers may prefer digital and fashionable service experiences, such as smart self-service devices that support mobile payments, charging terminals in rest areas that provide online entertainment content, etc.; while older customers pay more attention to traditional manual services and easy-to-understand operating instructions. In the design of service facilities, larger fonts should be used for logos, simplified operating procedures, and dedicated service personnel should be provided to provide assistance.

[0126] S66. For different professional customers, business customers may need a quiet, independent office space and a high-speed and stable network environment to handle work affairs during the charging process; while manual laborers may need more affordable meals and sufficient rest facilities to restore their physical strength. By collecting customer occupational information and consumption behavior data, a customer portrait model is established to accurately analyze the non-electric service demand characteristics of different professional customer groups and provide highly personalized solutions for the functional configuration of charging stations. Specifically, for different types of charging stations, when analyzing the service demand characteristics, the specific considerations are as follows:

[0127] For charging stations in residential areas, the age level and living habits of residents should be taken into consideration. If there are many elderly people in the community, traditional manual service facilities can be added, such as setting up a special service consultation desk to provide charging guidance and non-electrical service introductions for the elderly. At the same time, according to the daily consumption needs of residents, commercial facilities such as convenience stores and small supermarkets can be configured to meet the basic living needs of residents.

[0128] For office charging stations, we provide quiet, independent office space and high-speed and stable network environment to meet the needs of business customers. For example, we set up a special business negotiation area equipped with comfortable desks and chairs, charging ports and high-speed network to meet the needs of business customers to handle work affairs during charging.

[0129] For charging stations around scenic spots, souvenir retail services, fast food services and comfortable rest areas related to the characteristics of the scenic spots are provided according to tourists' touring rhythm and consumption psychology. For example, special souvenir shops are set up at charging stations around scenic spots to sell souvenirs and cultural products related to the scenic spots; fast food services are provided to meet tourists' dietary needs during the tour; comfortable rest areas are set up with charging ports and rest facilities to facilitate tourists to take a short break and pack their luggage.

[0130] For charging stations at transportation hubs, consider the transfer time and luggage carrying situation of passengers, and provide efficient and convenient luggage storage services, grab-and-go food and beverage sales areas, and real-time traffic information query equipment. For example, large luggage storage cabinets are set up at charging stations at transportation hubs to facilitate passengers to store their luggage; food and beverage sales areas are set up to provide grab-and-go food and beverages; real-time traffic information query equipment is installed to provide passengers with flight, train, bus and other transportation information to facilitate passengers to arrange their itineraries.

[0131] Furthermore, S7 includes the following steps:

[0132] S71, constructing a database containing a wealth of non-electrical service function options, wherein the functions in the database are classified and stored according to different categories;

[0133] S72. Based on the analysis results of the service demand characteristics obtained in S66, the functions in the database are screened. For charging stations whose main customer groups are residents and office workers, if the analysis results show that customers have high demands for life convenience and catering services, convenience stores, fast-food restaurants, coffee bars and other functions are preferentially screened from the life service category and leisure and entertainment category; if the charging station is located in a science and technology park or business center, and customers have strong business office needs, conference rooms, high-speed network access services, business negotiation areas and other functions are preferentially selected from the business office category;

[0134] S73. Consider the spatial layout and actual available area of ​​the charging station, and rationally layout and optimize the selected functions. For small charging stations with limited space, give priority to equipment or services with small footprint and high functional integration, such as combined self-service vending machines (which can sell food, beverages, daily necessities, etc. at the same time), multi-functional charging and resting seats (with integrated charging ports, massage functions, small tables, etc.); for large charging stations with more space, relatively independent functional areas can be set up, such as creating special dining areas, leisure areas, office areas, etc., and through reasonable channel design and sign guidance, ensure that customers can conveniently use these non-electric service functions during the charging process;

[0135] S74. Configure corresponding service resources based on the forecast of customer flow and peak usage hours. If a charging station has a large customer flow from 5:00 to 8:00 p.m. on weekdays and all day on weekends, increase the number of chefs and service staff, extend business hours, and enrich the food supply for catering services; for charging equipment, reasonably arrange the proportion of charging piles with different power, and ensure that fast charging piles have a high availability rate during peak hours to meet customers' charging needs and non-electric service needs, improve customer satisfaction and charging station operation efficiency;

[0136] S75. Establish a dynamic monitoring and feedback mechanism for service functions, and collect customer feedback on non-electric service functions through customer evaluation systems, service usage data statistics, etc. If it is found that the usage rate of a certain function is low or customer satisfaction is not high, adjust or replace the function in a timely manner. For example, if a children's play area set up in a charging station is rarely used by customers, consider transforming it into a quiet reading area or adding some leisure facilities suitable for adults; if customers generally reflect that the quality of catering services needs to be improved, replace catering suppliers or adjust the menu in a timely manner;

[0137] S76. Regularly (e.g. quarterly or semi-annually) conduct research and analysis on market demand and industry development trends, and optimize and upgrade non-electric service functions based on new market changes and customer demand dynamics. With the continuous development and popularization of new energy vehicle technology, if new value-added service demands related to new energy vehicles emerge in the market (such as battery testing and maintenance training, autonomous driving technology experience, etc.), promptly incorporate these functions into the service system of charging stations to maintain the competitiveness and attractiveness of charging stations. Specifically,

[0138] A storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned forward modeling prediction method for bubble pulsation pressure sub-waves in shallow waters.

[0139] A computer device comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the above-mentioned forward modeling prediction method for bubble pulsation pressure sub-waves in shallow waters.

[0140] The method for evaluating the demand for non-electric services and configuring functions of charging stations of the present invention first obtains target customer data, including electric vehicle-related data, population data and point of interest data, through comprehensive use of multiple channels such as map navigation platforms, official census data and commercial geographic information systems, so as to fully and accurately understand the actual situation around the charging station, and provide a solid data foundation for subsequent analysis and decision-making. For different types of charging stations, such as residential areas, office buildings, scenic areas and transportation hub charging stations, targeted analysis is conducted according to their specific population characteristics, commercial facility distribution and customer consumption habits. Charging stations in residential areas can better meet the daily needs of residents, provide convenient shopping, medical emergency and other services, and improve the quality of life of residents; office building charging stations can meet the work and life needs of office workers, provide comfortable office space, fast food and other services, and improve work efficiency; charging stations around scenic spots combine tourists' tour rhythm and consumption psychology, provide special souvenir retail, fast food and comfortable rest area and other services to enhance tourists' experience; transportation hub charging stations consider passengers' transfer time and luggage carrying conditions, provide efficient luggage storage, buy-and-go food and beverage sales areas and real-time traffic information query equipment and other services to reduce passengers' running around and inconvenience. When calculating the total number of people who can be reached, the standard value of "10,000 stores" and the theoretical demand quantity of a specific format, various factors are fully considered to make the calculation results more scientific and reasonable. At the same time, by collecting the supply data of existing non-electric formats around the charging station and comparing it with the theoretical demand quantity, the market saturation can be accurately assessed, providing an accurate basis for the configuration of non-electric service functions of the charging station. In addition, the present invention also analyzes the service demand characteristics according to the type, scale and customer consumption habits of different charging stations, and recommends and configures non-electric service functions for the charging station based on this. By building a rich database of non-electric service function options and conducting reasonable screening, layout and optimal configuration, it is possible to fully utilize the spatial resources of the charging station and meet the needs of different customer groups. At the same time, by establishing a dynamic monitoring and feedback mechanism and regularly investigating and analyzing market demand and industry development trends, it is possible to timely adjust and upgrade non-electric service functions and maintain the competitiveness and attractiveness of the charging station. In summary, the method of the present invention can effectively improve the service quality and operational efficiency of the charging station, meet the diverse needs of different customer groups, and provide strong support for the sustainable development of the charging station.

[0141] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In addition, "front", "back", "left", "right", "upper" and "lower" in this article are all referenced to the placement state shown in the accompanying drawings.

[0142] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating non-electrical service demand and configuring functions of a charging station, characterized in that: The method for evaluating the non-electrical service demand and configuring the functions of the charging station comprises the following steps: S1. Acquire target customer data within a preset range around the charging station, wherein the target customer data includes electric vehicle related data, population data, and point of interest data; S2. Calculate the total number of reachable customers based on the target customer data; S3. Select a representative and comparable analysis area, and calculate the standard value of "number of stores per 10,000 people" based on the total population and number of stores in the selected analysis area; S4. Estimate the theoretical demand quantity of a specific business format based on the standard value of "number of stores per 10,000 people" and the total number of people that can be reached; S5. Collect supply data of existing non-electric business formats around charging stations and compare it with theoretical demand quantity to evaluate market saturation; S6. Summarize the service setting characteristics of each type of charging station based on its type, scale and customer group characteristics; S7. Based on customer needs and site characteristics, recommend and configure non-electrical service functions for charging stations.

2. The method for evaluating and configuring the non-electrical service demand of a charging station according to claim 1, characterized in that: In S1, obtaining target customer data includes the following steps: S11, obtaining electric vehicle related data within a preset range around the charging station through a map navigation platform, wherein the electric vehicle related data includes location information, driving trajectory data, and travel habit data of the electric vehicle owner; S12. Combining official census data with regional population dynamics monitoring data to obtain population data, the population data including population size distribution, age structure distribution, and population mobility trend data; S13. Use a commercial geographic information system or related data platform to obtain point of interest data, where the point of interest data includes the type, quantity, scale and business hours of surrounding commercial facilities, where the types of commercial facilities at least include convenience stores, restaurants, car service stores and leisure and entertainment venues.

3. The method for evaluating and configuring the non-electrical service demand of a charging station according to claim 1, characterized in that: In S2, the following steps are included: S21. Screening and analyzing electric vehicle related data obtained from the map navigation platform to determine the number of charging vehicle customers within a preset range around the charging station, wherein the screening conditions include records of vehicles being in the vicinity of the charging station within a preset time period and having charging behavior or charging demand characteristics; S22. According to the population distribution information and the geographic area in the population data, the number of residents or working people within walking distance is estimated through a preset population density calculation model, that is, the number of surrounding walking customers, and the number of surrounding walking customers is calculated according to the following formula; Where n is the number of sub-areas into which the geographical area around the charging station is divided; P i is the population of the ith sub-region, obtained from the population distribution information in the population data obtained in S1; A i,可达 It is the area that people can reach on foot in the ith sub-area after considering the geographical terrain and transportation convenience; A i,总 is the total area of ​​the th sub-region; T i Represents the terrain characteristic parameters of the i-th sub-area; G i represents the transportation convenience parameter of the ith sub-area; f(T i ,G i ) is an adjustment function that comprehensively considers the impact of terrain and transportation convenience on people's walking accessibility; S23. Add the determined number of charging car customers and the estimated number of surrounding walking customers to obtain the total number of reachable people, calculated by the following formula: total number of reachable people = number of charging car customers + number of surrounding walking customers, where the calculations of the number of charging car customers and the number of surrounding walking customers are both accurate to integers.

4. The method for evaluating and configuring the non-electrical service demand of a charging station according to claim 1, characterized in that: In S3, the following steps are included: S31. Select a representative analysis area; S32. Calculate the standard value of "number of stores per 10,000 people" according to the total population of the analysis area and the number of stores in the area, using the following formula: This formula can be used to determine how many stores of a specific business format should be set up per 10,000 people.

5. The method for evaluating and configuring the non-electrical service demand of a charging station according to claim 1, characterized in that: In S4, the following steps are included: S41. The standard value of "number of stores per 10,000 people" calculated in the previous stage is applied to the total number of people within the target range to estimate the theoretical demand for a specific business format in the area; S42, based on the extracted key attribute information, the standard value of "number of stores per 10,000 people" and the total number of available people, use the following formula to calculate the theoretical demand for convenience stores in a specific format: Among them, the correlation coefficient between this business format and other business formats is determined based on historical market data and industry experience, with a value range of 0-1, and the accuracy of the calculation result is ensured to be consistent with the original data, and the final result is accurate to one decimal place.

6. The method for evaluating and configuring the non-electrical service demand of a charging station according to claim 1, characterized in that: In S5, S51. Obtain a list of merchants within 0.5 to 2 kilometers of the charging station through the local business management agency, select merchants that provide non-electric services, and determine the existing supply quantity; S52. Compare the theoretical demand quantity of convenience stores calculated by S42 with the existing supply quantity. If the theoretical demand quantity of convenience stores is greater than the existing supply quantity of convenience stores, it means that there is potential demand in the market and non-electrical service functions can be added; if the theoretical demand quantity is less than or equal to the existing supply quantity, it indicates that the market has become saturated and the necessity of adding non-electrical service functions is low.

7. The method for evaluating and configuring the non-electrical service demand of a charging station according to claim 1, characterized in that: In S6, the following steps are included: S61. In addition to charging stations at highway service areas and urban public charging stations, charging stations around scenic spots should provide souvenir retail services related to the characteristics of the scenic spots, fast food services, and comfortable rest areas for tourists to take a short break and pack their luggage, in view of tourists' touring rhythm and consumption psychology. At the same time, tourist information consultation points should be set up to provide tourists with scenic spot guides and ticket booking value-added services; S62. Charging stations at transportation hubs should be equipped with luggage storage services, grab-and-go food and beverage sales areas, and electronic devices or service desks that provide real-time transportation information inquiries, as passengers have limited time to transfer and have a lot of luggage; S63. In addition to the diversified service functions of large charging stations, extra-large charging stations reserve sufficient space for hosting small commercial activities or industry exhibitions. At the same time, according to the changes in customer flow in different seasons and time periods, the opening hours and resource allocation of service function areas are dynamically adjusted; during the peak travel period during holidays, catering service personnel and food reserves are increased to ensure that service quality is not affected by the sharp increase in customer flow; S64. Micro charging stations are set up in small communities, remote villages or temporary activity venues. Such charging stations serve a small number of fixed customers in the surrounding area or temporary emergency charging needs. The service functions focus on the most basic charging services and simple safety facilities. At the same time, they provide limited non-electric services through cooperation with surrounding small businesses. S65. According to the age of customers, the consumption habits of young customers tend to be digital and fashionable, while the elderly customers pay attention to traditional manual services and easy-to-understand operation instructions. In the design of service facilities, large fonts are used to simplify the operation process and special service personnel are equipped to provide assistance. S66. Aiming at different occupational customers, business customers are equipped with quiet, independent office space and high-speed and stable network environment so that they can handle work affairs during the charging process; manual laborers are equipped with affordable meals and sufficient rest facilities to restore their physical strength. By collecting customer occupational information and consumption behavior data, a customer portrait model is established to accurately analyze the non-electric service demand characteristics of different occupational customer groups, providing highly personalized solutions for the functional configuration of charging stations.

8. The method for evaluating and configuring the non-electrical service demand of a charging station according to claim 7, characterized in that: In S7, the following steps are included: S71, constructing a database containing a wealth of non-electrical service function options, wherein the functions in the database are classified and stored according to different categories; S72. Based on the analysis results of the service demand characteristics obtained in S66, the functions in the database are screened. For charging stations whose main customer groups are residents and office workers, if the analysis results show that customers have high demands for life convenience and catering services, convenience stores, fast food restaurants and coffee bars are screened from the life service category and leisure and entertainment category. If the charging station is located in a science and technology park, office building or business center, and the customer has strong business office needs, conference room, high-speed network access service and business negotiation area functions are selected from the business office category. S73. Consider the spatial layout and actual available area of ​​the charging station, reasonably arrange and optimize the selected functions. For small charging stations with limited space, give priority to equipment or services with small footprint and high functional integration. For large charging stations with more ample space, set up relatively independent functional areas, and ensure that customers can use these non-electric service functions conveniently during the charging process through reasonable channel design and sign guidance. S74. Allocate corresponding service resources according to the prediction of customer traffic and peak usage period; S75. Establish a dynamic monitoring and feedback mechanism for service functions, collect customer feedback on non-electrical service functions through customer evaluation systems and service usage data statistics. If it is found that the usage rate of a certain function is low or customer satisfaction is not high, adjust or replace the function in a timely manner; if customers generally reflect that the quality of catering services needs to be improved, replace catering suppliers or adjust the menu in a timely manner; S76. Regularly conduct research and analysis on market demand and industry development trends, optimize and upgrade non-electric service functions based on new market changes and customer demand dynamics, and if new value-added service demands related to new energy vehicles emerge in the market, promptly incorporate these functions into the charging station service system.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a charging station non-electric service demand assessment and function configuration method as described in any one of claims 1 to 8 is implemented.

10. A computer device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement a method for evaluating and configuring the non-electric service demand of a charging station as described in any one of claims 1 to 8.

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