A site selection method for overseas automobile after-sales service outlets and related components

Abstract

The present invention discloses a site selection method and related components for overseas automobile after-sales service outlets, which relate to the field of data processing technology. First, the business nature of the automobile served by the automobile after-sales service outlet to be sited is determined, and differentiated site selection strategies are implemented for automobiles of different business natures. For energy storage business, candidate points for after-sales service of energy storage business are clustered, and the cluster points with the largest customer coverage are used as energy storage automobile after-sales service outlets; for commercial business, commercial business after-sales service outlets are clustered, and the cluster points with the largest customer coverage are used as commercial automobile after-sales service outlets to achieve maximum coverage of automobile customers. For passenger business, the lowest operating cost is selected from energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets as passenger automobile after-sales service outlets, thereby reducing cost expenditure while providing after-sales service. Site selection is more intelligent and accurate, and site selection efficiency is improved and site selection cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a site selection method for overseas automobile after-sales service outlets and related components. Background Art

[0002] With the rapid development of the overseas new energy vehicle market, higher requirements have been put forward for the after-sales service of new energy vehicles. At present, the site selection of overseas new energy vehicle after-sales service outlets mostly relies on manual offline inspections. This method has the problems of high site selection cost, low efficiency, and difficulty in accurately predicting market changes and competitive situations. Therefore, a more scientific and effective method is needed to complete the site selection of overseas automobile after-sales service outlets. Summary of the invention

[0003] The purpose of the present invention is to provide a site selection method and related components for overseas automobile after-sales service outlets, which can complete the site selection of overseas automobile after-sales service outlets more intelligently and accurately, improve site selection efficiency, and reduce site selection costs.

[0004] In order to solve the above technical problems, the present invention provides a method for selecting a site for an overseas automobile after-sales service outlet, comprising:

[0005] Determine the business nature of the automobiles served by the automobile after-sales service outlets to be selected, which business nature includes energy storage business, commercial business and passenger business;

[0006] When the nature of the business is the energy storage business, based on the obtained underlying parameters and target network point constraint parameters, the candidate points for after-sales service of the energy storage business in the site selection planning area are clustered to obtain cluster points, the customer coverage of each cluster point is determined, and the cluster point with the largest customer coverage is used as the energy storage automobile after-sales service network point;

[0007] When the nature of the business is the commercial business, based on the obtained underlying parameters and target network point constraint parameters, the candidate points for after-sales service of the commercial business in the site selection planning area are clustered to obtain cluster points, the customer coverage of each cluster point is determined, and the cluster point with the largest customer coverage is used as the commercial automobile after-sales service network point;

[0008] When the nature of the business is the passenger business, the operating costs of the energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets within the site selection planning area are determined based on the obtained underlying parameters, and the automobile after-sales service outlet with the lowest operating cost is used as the passenger automobile after-sales service outlet.

[0009] Optionally, when the nature of the business is the energy storage business, clustering the energy storage business after-sales service candidate points within the site selection planning area to obtain cluster points includes:

[0010] Determine all the electric power energy enterprises located in the site selection planning area recorded in the underlying parameters, and cluster the electric power energy enterprises in the site selection planning area using a genetic algorithm and a clustering algorithm to obtain the clustering points.

[0011] Optionally, when the nature of the business is the commercial business, clustering the commercial business after-sales service candidate points within the site selection planning area to obtain cluster points includes:

[0012] All the auto repair shops located in the site selection planning area recorded in the bottom-level parameters are determined, and the auto repair shops in the site selection planning area are clustered using a genetic algorithm and a clustering algorithm to obtain the clustering points.

[0013] Optionally, determining the customer coverage of each cluster point includes:

[0014] For each cluster point, the service radius recorded in the target network point constraint parameter is used as the service radius of the cluster point and the service range of the cluster point is determined, and all automobile customers covered within the service range of the cluster point recorded in the underlying parameters are determined;

[0015] Determine the customer coverage of the cluster point based on all automobile customers covered within the service range of the cluster point, the customer type corresponding to each automobile customer, and the correspondence between the customer type and the customer weight recorded in the constraint parameters of the target network point;

[0016] Among them, the customer types include passenger cars, commercial vehicles and energy storage vehicles, and the customer weights corresponding to the passenger cars, the customer weights corresponding to the commercial vehicles and the customer weights corresponding to the energy storage vehicles are different from each other.

[0017] Optionally, the determining of the operating costs of energy storage vehicle after-sales service outlets and commercial vehicle after-sales service outlets within the site selection planning area based on the obtained underlying parameters includes:

[0018] For each energy storage vehicle after-sales service outlet, the sum of the logistics cost corresponding to the energy storage vehicle after-sales service outlet recorded in the underlying parameters and the actual cost borne by the single store is used as the operating cost of the energy storage vehicle after-sales service outlet;

[0019] For each commercial vehicle after-sales service outlet, the sum of the logistics cost corresponding to the commercial vehicle after-sales service outlet recorded in the underlying parameters and the actual cost borne by the single store is used as the operating cost of the commercial vehicle after-sales service outlet;

[0020] Among them, the actual costs borne by the single store include any one or a combination of multiple of the costs of replacing and repairing car batteries, the rent of the single store, and the wages of the single store employees.

[0021] Optionally, after using the clustering point with the largest customer coverage as the energy storage vehicle after-sales service outlet, using the clustering point with the largest customer coverage as the commercial vehicle after-sales service outlet, and using the vehicle after-sales service outlet with the lowest operating cost as the passenger vehicle after-sales service outlet, the method further includes:

[0022] The energy storage vehicle after-sales service outlets and their service radius, the commercial vehicle after-sales service outlets and their service radius, the passenger vehicle after-sales service outlets and their service radius, and the vehicle customers within the site selection planning area are all displayed on the same map.

[0023] Optionally, after obtaining the underlying parameters, also include:

[0024] Preprocessing the obtained underlying parameters, wherein the preprocessing includes data cleaning, data type conversion, and data integration of the underlying parameters;

[0025] The preprocessed underlying parameters are used as new underlying parameters, and the step of clustering the energy storage business after-sales service candidate points within the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters when the nature of the business is the energy storage business, or clustering the commercial business after-sales service candidate points within the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters when the nature of the business is the commercial business, or determining the operating costs of the energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets within the site selection planning area based on the obtained underlying parameters when the nature of the business is the passenger business.

[0026] In order to solve the above technical problems, the present invention also provides a site selection device for overseas automobile after-sales service outlets, comprising:

[0027] A business nature determination module, used to determine the business nature of the automobile served by the automobile after-sales service outlet to be selected, the business nature including energy storage business, commercial business and passenger business; triggering the energy storage outlet determination module when the business nature is the energy storage business, triggering the commercial outlet determination module when the business nature is the commercial business, and triggering the passenger outlet determination module when the business nature is the passenger business;

[0028] The energy storage network point determination module is used to cluster the energy storage business after-sales service candidate points in the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters, determine the customer coverage of each cluster point, and use the cluster point with the largest customer coverage as the energy storage automobile after-sales service network point;

[0029] The commercial network point determination module is used to cluster the commercial business after-sales service candidate points in the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters, determine the customer coverage of each cluster point, and use the cluster point with the largest customer coverage as the commercial automobile after-sales service network point;

[0030] The passenger outlet determination module is used to determine the operating costs of energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets within the site selection planning area based on the obtained underlying parameters, and to select the automobile after-sales service outlet with the lowest operating cost as the passenger automobile after-sales service outlet.

[0031] In order to solve the above technical problems, the present invention also provides a site selection device for overseas automobile after-sales service outlets, including:

[0032] Memory for storing computer programs;

[0033] A processor is used to implement the steps of any of the above-mentioned methods for selecting a location for an overseas automobile after-sales service outlet when executing the computer program.

[0034] In order to solve the above technical problems, the present invention also provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned methods for selecting a site for an overseas automobile after-sales service outlet are implemented.

[0035] The beneficial effect of the present invention is that it provides a site selection method and related components for overseas automobile after-sales service outlets. First, the business nature of the automobiles served by the automobile after-sales service outlets to be selected is determined, and differentiated site selection strategies are implemented for automobiles of different business natures. For energy storage business, the candidate points for after-sales service of energy storage business are clustered, and the cluster points with the largest customer coverage are used as energy storage automobile after-sales service outlets; for commercial business, the commercial business after-sales service outlets are clustered, and the cluster points with the largest customer coverage are used as commercial automobile after-sales service outlets to achieve maximum coverage of automobile customers. For passenger business, the ones with the lowest operating costs are selected from energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets as passenger automobile after-sales service outlets, thereby reducing cost expenditure while providing after-sales services. Site selection is more intelligent and accurate, and site selection efficiency is improved and site selection costs are reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the prior art and the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 A first flow chart of the method for selecting a site for an overseas automobile after-sales service outlet provided by the present invention;

[0038] Figure 2 A second flow chart of the method for selecting a site for an overseas automobile after-sales service outlet provided by the present invention;

[0039] Figure 3 A schematic diagram of the structure of the device for selecting a site for overseas automobile after-sales service outlets provided by the present invention;

[0040] Figure 4 A schematic structural diagram of the site selection equipment for overseas automobile after-sales service outlets provided by the present invention. DETAILED DESCRIPTION

[0041] The core of the present invention is to provide a site selection method and related components for overseas automobile after-sales service outlets, which can complete the site selection of overseas automobile after-sales service outlets more intelligently and accurately, improve site selection efficiency, and reduce site selection costs.

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Please refer to Figure 1 , Figure 1 A first flow chart of a method for selecting a site for an overseas automobile after-sales service outlet provided by the present invention, the method comprising:

[0044] Step 101, determine the business nature of the automobiles served by the automobile after-sales service outlet to be selected, the business nature includes energy storage business, commercial business and passenger business; when the business nature is energy storage business, proceed to step 102; when the business nature is commercial business, proceed to step 103; when the business nature is passenger business, proceed to step 104.

[0045] The present invention conducts an in-depth analysis of the overseas new energy vehicle after-sales service business. By deeply understanding various aspects of business operations, including business processes, key indicators, user behavior, and market demand, the location of overseas automobile after-sales service outlets is determined according to the business nature of the automobiles served by the automobile after-sales service outlets to be selected, and the location selection goal of maximizing coverage of automobile customers is achieved.

[0046] First, the present invention implements a differentiated site selection strategy. In overseas markets, the customer groups of energy storage business, commercial business and passenger business are quite different, so it is necessary to plan the layout of service outlets separately. Among them, energy storage business is a core business in overseas markets, commercial business is a business that grows rapidly in the short term, and needs to be focused on; passenger business has a relatively small number of existing cars, and the business growth rate will not be too fast in the short term, so forward-looking layout is sufficient.

[0047] Step 102: Based on the obtained underlying parameters and target network point constraint parameters, the candidate energy storage business after-sales service points in the site selection planning area are clustered to obtain cluster points, the customer coverage of each cluster point is determined, and the cluster point with the largest customer coverage is used as the energy storage vehicle after-sales service network point.

[0048] Step 103: Based on the obtained underlying parameters and target network point constraint parameters, the candidate points for commercial business after-sales service in the site selection planning area are clustered to obtain cluster points, the customer coverage of each cluster point is determined, and the cluster point with the largest customer coverage is used as the commercial vehicle after-sales service network point.

[0049] Please refer to Figure 2 , Figure 2 The second flow chart of the site selection method for overseas automobile after-sales service outlets provided by the present invention. Based on the above content, for energy storage business, firstly, based on the underlying parameters, the candidate points for after-sales service of energy storage business included in the site selection planning area are determined, and the above candidate points for after-sales service of energy storage business can be electric energy enterprises in the site selection planning area. Then, these after-sales service outlets of energy storage business are clustered to obtain clustering points, for example, by using genetic algorithm and clustering algorithm (including but not limited to K-means clustering algorithm) to cluster the electric energy enterprises in the site selection planning area to obtain the above clustering points.

[0050] Similarly, for commercial business, it is also necessary to first determine the commercial business after-sales service candidate points included in the site selection planning area based on the underlying parameters. The commercial business after-sales service candidate points can be auto repair shops in the site selection planning area. Then, these commercial business after-sales service candidate points are clustered to obtain cluster points, for example, by clustering the auto repair shops in the site selection planning area through genetic algorithms and clustering algorithms (including but not limited to K-means clustering algorithms) to obtain the above cluster points.

[0051] The above process of determining clustering points integrates genetic algorithms and clustering algorithms (including but not limited to K-means clustering algorithms). By combining the global search and adaptability of genetic algorithms with the efficient clustering capabilities of clustering algorithms, it provides powerful data processing and analysis capabilities for the site selection of overseas automobile after-sales service outlets, helps to more accurately identify service demand hotspots, and promotes the site selection of overseas automobile after-sales service outlets to move towards intelligence and refinement.

[0052] For energy storage business and commercial business, when selecting corresponding automobile after-sales service outlets, the maximum coverage of automobile customers should be achieved. Therefore, after obtaining the clustering points corresponding to the energy storage business and the commercial business, the present invention needs to determine the customer coverage of each clustering point, and use the clustering point with the largest customer coverage as the energy storage automobile after-sales service outlet / commercial automobile after-sales service outlet. The specific method of determining the coverage of each clustering point will be introduced in the subsequent embodiments, which will not be repeated here.

[0053] Step 104: Determine the operating costs of energy storage automobile after-sales service outlets and commercial vehicle after-sales service outlets within the site selection planning area based on the obtained underlying parameters, and select the automobile after-sales service outlet with the lowest operating cost as the passenger car after-sales service outlet.

[0054] Compared with the energy storage business and commercial business, the location selection of automobile after-sales service outlets for the passenger business adopts a different location selection logic. The automobile after-sales service outlets with the lowest operating costs are selected from the existing energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets as passenger automobile after-sales service outlets. The after-sales service of the passenger business is superimposed on the after-sales service of the energy storage business and the commercial business to share the cost. The specific method of determining the operating costs of the energy storage automobile after-sales service outlets and the commercial automobile after-sales service outlets in the site selection planning area will be introduced in the subsequent embodiments and will not be repeated here.

[0055] It should also be noted that the executor of the overseas automobile after-sales service outlet site selection method provided by the present invention can be a site selection model pre-trained in the processor. When the site selection of overseas automobile after-sales service outlets needs to be completed, the business nature, underlying parameters and target outlet constraint parameters of the automobile served by the automobile after-sales service outlet to be selected are input into the site selection model, and the site selection model automatically executes the above steps.

[0056] In summary, the present invention provides a method for selecting a site for overseas automobile after-sales service outlets. First, the business nature of the automobiles served by the automobile after-sales service outlets to be selected is determined, and differentiated site selection strategies are implemented for automobiles of different business natures. For energy storage business, candidate points for after-sales service of energy storage business are clustered, and the cluster points with the largest customer coverage are used as energy storage automobile after-sales service outlets; for commercial business, commercial business after-sales service outlets are clustered, and the cluster points with the largest customer coverage are used as commercial automobile after-sales service outlets to achieve maximum coverage of automobile customers. For passenger business, the ones with the lowest operating costs are selected from energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets as passenger automobile after-sales service outlets, thereby reducing cost expenditure while providing after-sales services. Site selection is more intelligent and accurate, and site selection efficiency is improved and site selection costs are reduced.

[0057] Based on the above embodiments:

[0058] As an optional embodiment, determining the customer coverage of each cluster point includes:

[0059] For each cluster point, the service radius recorded in the target network point constraint parameters is used as the service radius of the cluster point and the service range of the cluster point is determined, and all automobile customers covered within the service range of the cluster point recorded in the underlying parameters are determined;

[0060] Determine the customer coverage of the cluster point based on all automobile customers covered within the service scope of the cluster point, the customer type corresponding to each automobile customer, and the correspondence between the customer type and the customer weight recorded in the constraint parameters of the target network point;

[0061] Among them, customer types include passenger cars, commercial vehicles and energy storage vehicles, and the customer weights corresponding to passenger cars, the customer weights corresponding to commercial vehicles and the customer weights corresponding to energy storage vehicles are different.

[0062] In this embodiment, a customer weight allocation mechanism is introduced when determining the customer coverage of each cluster point, and different customer types of automobile customers have different corresponding customer weights, so that different customer types of automobile customers have different influences on the location selection of automobile after-sales service outlets, thereby ensuring that the energy storage automobile after-sales service outlets and commercial vehicle after-sales service outlets finally determined can not only meet current business needs, but also flexibly adapt to market changes and achieve optimal allocation of resources.

[0063] Specifically, the service radius of each cluster point is the service radius recorded in the target network point constraint parameters. The value of the service radius is set according to the actual situation, and the present invention does not specifically limit this. The present invention pre-counts all the car customers included in the site selection planning area and the customer types corresponding to each car customer, and records them in the underlying parameters. Therefore, all the car customers covered within the service range of each cluster point and the customer types corresponding to each car customer can be determined by the underlying parameters. The correspondence between customer type and customer weight can be pre-specified in the target network point constraint parameters.

[0064] This embodiment does not specifically limit the specific implementation method for calculating customer coverage. For example, the customer types of all automobile customers covered by the cluster point can be determined first, and then the customer weights of each automobile customer can be determined according to the corresponding relationship between the customer type and the customer weight, and finally the sum of the customer weights of all automobile customers covered by the cluster point is used as the customer coverage of the cluster point.

[0065] As an optional embodiment, the operating costs of energy storage vehicle after-sales service outlets and commercial vehicle after-sales service outlets within the site selection planning area are determined based on the obtained underlying parameters, including:

[0066] For each energy storage vehicle after-sales service outlet, the sum of the logistics cost corresponding to the energy storage vehicle after-sales service outlet recorded in the underlying parameters and the actual cost borne by the single store is used as the operating cost of the energy storage vehicle after-sales service outlet;

[0067] For each commercial vehicle after-sales service outlet, the sum of the logistics cost corresponding to the commercial vehicle after-sales service outlet recorded in the underlying parameters and the actual cost borne by the single store is used as the operating cost of the commercial vehicle after-sales service outlet;

[0068] Among them, the actual costs borne by a single store include any one or a combination of the cost of replacing and repairing car batteries, the rent of a single store, and the wages of employees in a single store.

[0069] In this embodiment, the logistics costs and actual costs borne by a single store of the candidate energy storage business after-sales service points and commercial business after-sales service points included in the site selection planning area are counted in advance and recorded in the underlying parameters. Therefore, when determining the operating costs of energy storage vehicle after-sales service outlets or commercial vehicle after-sales service outlets, the sum of the corresponding logistics costs and the actual costs borne by a single store recorded in the underlying parameters is sufficient. The actual costs borne by a single store include any one or more of the cost of replacing and repairing car batteries, the rent of a single store, and the wages of employees in a single store.

[0070] As an optional embodiment, after using the clustering point with the largest customer coverage as the energy storage vehicle after-sales service outlet, using the clustering point with the largest customer coverage as the commercial vehicle after-sales service outlet, and using the vehicle after-sales service outlet with the lowest operating cost as the passenger vehicle after-sales service outlet, the method further includes:

[0071] Energy storage vehicle after-sales service outlets and their service radius, commercial vehicle after-sales service outlets and their service radius, passenger vehicle after-sales service outlets and their service radius, and automobile customers within the site selection planning area are all displayed on the same map.

[0072] In this embodiment, energy storage vehicle after-sales service outlets and their service radius, commercial vehicle after-sales service outlets and their service radius, passenger vehicle after-sales service outlets and their service radius, and automobile customers within the site selection planning area are displayed on the same map in a visualized manner, so that users can intuitively verify the rationality and accuracy of the site selection of energy storage vehicle after-sales service outlets, commercial vehicle after-sales service outlets, and passenger vehicle after-sales service outlets.

[0073] In addition, during the stage of developing and debugging the site selection model, the method provided in this embodiment can also be used to verify whether there are any problems or deviations in the automobile after-sales service outlets determined by the site selection model. If there are problems such as the location of the automobile after-sales service outlets being too concentrated or the service radius coverage being insufficient, the algorithm used in the site selection model can be adjusted and optimized as necessary, such as adjusting the parameters of the genetic algorithm, optimizing the automobile customer clustering strategy of the K-means clustering algorithm, etc., until the automobile after-sales service outlets determined by the site selection model meet the requirements.

[0074] As an optional embodiment, after obtaining the underlying parameters, the following steps are further included:

[0075] Preprocess the obtained underlying parameters, including data cleaning, data type conversion and data integration;

[0076] The preprocessed underlying parameters are used as new underlying parameters, and the step of clustering the candidate points for after-sales service of energy storage business in the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters when the nature of the business is energy storage business, or clustering the candidate points for after-sales service of commercial business in the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters when the nature of the business is commercial business, or determining the operating costs of energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets in the site selection planning area based on the obtained underlying parameters when the nature of the business is passenger business.

[0077] For the underlying parameters involved in determining overseas automobile after-sales service outlets, it is necessary to determine the source and acquisition method of the parameters, evaluate the reliability and accuracy of the parameters, and formulate a parameter collection plan (including the time, frequency and collection channels of parameter collection, etc.); for the collected parameters, it is also necessary to complete preprocessing including data cleaning, data type conversion and data integration (including but not limited to data cleaning, removal of noise and abnormal parameters, unified data format, etc.), so as to ensure the quality and accuracy of the underlying parameters obtained.

[0078] Specifically, in the acquisition stage of the underlying parameters, such as potential customers, auto repair shops, electric power companies, and car ownership in the underlying parameters, they can be obtained in real time or regularly through technical means such as API (Application Programming Interface), data sharing platforms, and web crawlers. The candidate points for after-sales service of energy storage business, candidate points for after-sales service of commercial business, and car customers in the underlying parameters can be obtained by importing files. The service radius and customer weight are given initial values ​​based on the industry standards and based on the existing business data and business goals, and support on-demand adjustments and changes during operations. At the same time, a data quality monitoring mechanism is established to regularly evaluate the accuracy and completeness of the underlying parameters obtained, and to process and correct them in a timely manner to ensure that the quality of the underlying parameters meets the analysis requirements.

[0079] The preprocessing stage of the underlying parameters involves data cleaning of the acquired underlying parameters, including removing duplicate records, correcting erroneous data, processing missing values, etc., to ensure the accuracy and consistency of the data; performing data conversion, such as data type conversion, data standardization, etc., to make the data suitable for subsequent analysis and algorithm processing; performing data integration, merging and integrating data from different sources to form a complete data set for subsequent site selection analysis.

[0080] Please refer to Figure 3 , Figure 3 A schematic diagram of the structure of a site selection device for overseas automobile after-sales service outlets provided by the present invention, the device comprising:

[0081] The business nature determination module 301 is used to determine the business nature of the automobiles served by the automobile after-sales service outlet to be selected, and the business nature includes energy storage business, commercial business and passenger business; when the business nature is energy storage business, the energy storage outlet determination module is triggered, when the business nature is commercial business, the commercial outlet determination module is triggered, and when the business nature is passenger business, the passenger outlet determination module is triggered;

[0082] The energy storage network point determination module 302 is used to cluster the energy storage business after-sales service candidate points in the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters, determine the customer coverage of each cluster point, and use the cluster point with the largest customer coverage as the energy storage automobile after-sales service network point;

[0083] The commercial network point determination module 303 is used to cluster the commercial business after-sales service candidate points in the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters, determine the customer coverage of each cluster point, and use the cluster point with the largest customer coverage as the commercial automobile after-sales service network point;

[0084] The passenger outlet determination module 304 is used to determine the operating costs of energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets within the site selection planning area based on the obtained underlying parameters, and to select the automobile after-sales service outlet with the lowest operating cost as the passenger automobile after-sales service outlet.

[0085] For a detailed introduction to the site selection device for overseas automobile after-sales service outlets provided by the present invention, please refer to the embodiment of the site selection method for overseas automobile after-sales service outlets described above, which will not be elaborated in this application.

[0086] Please refer to Figure 4 , Figure 4 A schematic diagram of the structure of the site selection device for overseas automobile after-sales service outlets provided by the present invention, the device comprises:

[0087] Memory 401, used for storing computer programs;

[0088] The processor 402 is used to implement the steps of any of the above-mentioned methods for selecting a location for an overseas automobile after-sales service outlet when executing a computer program.

[0089] For a detailed introduction to the site selection equipment for overseas automobile after-sales service outlets provided by the present invention, please refer to the embodiment of the site selection method for overseas automobile after-sales service outlets described above, and this application will not elaborate on it here.

[0090] The present invention also provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of any of the above-mentioned methods for selecting a location for an overseas automobile after-sales service outlet are implemented.

[0091] For a detailed introduction to the storage medium provided by the present invention, please refer to the above-mentioned embodiment of the method for selecting a site for overseas automobile after-sales service outlets, which will not be elaborated in this application.

[0092] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. It should also be noted that in this specification, relational terms such as first and second, etc. 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, 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, article or device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the presence of other identical elements in the process, article or device including the elements.

[0093] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for selecting a site for an overseas automobile after-sales service outlet, characterized in that: include: Determine the business nature of the automobiles served by the automobile after-sales service outlets to be selected, which business nature includes energy storage business, commercial business and passenger business; When the nature of the business is the energy storage business, based on the obtained underlying parameters and target network point constraint parameters, the candidate points for after-sales service of the energy storage business in the site selection planning area are clustered to obtain cluster points, the customer coverage of each cluster point is determined, and the cluster point with the largest customer coverage is used as the energy storage automobile after-sales service network point; When the nature of the business is the commercial business, based on the obtained underlying parameters and target network point constraint parameters, the candidate points for after-sales service of the commercial business in the site selection planning area are clustered to obtain cluster points, the customer coverage of each cluster point is determined, and the cluster point with the largest customer coverage is used as the commercial automobile after-sales service network point; When the nature of the business is the passenger business, the operating costs of the energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets within the site selection planning area are determined based on the obtained underlying parameters, and the automobile after-sales service outlet with the lowest operating cost is used as the passenger automobile after-sales service outlet.

2. The method for selecting a location for an overseas automobile after-sales service outlet as claimed in claim 1, characterized in that: When the nature of the business is the energy storage business, clustering the energy storage business after-sales service candidate points within the site selection planning area to obtain cluster points includes: Determine all the electric power energy enterprises located in the site selection planning area recorded in the underlying parameters, and cluster the electric power energy enterprises in the site selection planning area using a genetic algorithm and a clustering algorithm to obtain the clustering points.

3. The method for selecting a location for an overseas automobile after-sales service outlet as claimed in claim 1, characterized in that: When the nature of the business is the commercial business, clustering the commercial business after-sales service candidate points in the site selection planning area to obtain cluster points includes: All the auto repair shops located in the site selection planning area recorded in the bottom-level parameters are determined, and the auto repair shops in the site selection planning area are clustered using a genetic algorithm and a clustering algorithm to obtain the clustering points.

4. The method for selecting a location for an overseas automobile after-sales service outlet as claimed in claim 1, characterized in that: Determining the customer coverage of each cluster point includes: For each cluster point, the service radius recorded in the target network point constraint parameter is used as the service radius of the cluster point and the service range of the cluster point is determined, and all automobile customers covered within the service range of the cluster point recorded in the underlying parameters are determined; Determine the customer coverage of the cluster point based on all automobile customers covered within the service range of the cluster point, the customer type corresponding to each automobile customer, and the correspondence between the customer type and the customer weight recorded in the constraint parameters of the target network point; Among them, the customer types include passenger cars, commercial vehicles and energy storage vehicles, and the customer weights corresponding to the passenger cars, the customer weights corresponding to the commercial vehicles and the customer weights corresponding to the energy storage vehicles are different from each other.

5. The method for selecting a location for an overseas automobile after-sales service outlet as claimed in claim 1, characterized in that: The operation costs of energy storage vehicle after-sales service outlets and commercial vehicle after-sales service outlets within the site selection planning area are determined based on the obtained underlying parameters, including: For each energy storage vehicle after-sales service outlet, the sum of the logistics cost corresponding to the energy storage vehicle after-sales service outlet recorded in the underlying parameters and the actual cost borne by the single store is used as the operating cost of the energy storage vehicle after-sales service outlet; For each commercial vehicle after-sales service outlet, the sum of the logistics cost corresponding to the commercial vehicle after-sales service outlet recorded in the underlying parameters and the actual cost borne by the single store is used as the operating cost of the commercial vehicle after-sales service outlet; Among them, the actual costs borne by the single store include any one or a combination of multiple of the costs of replacing and repairing car batteries, the rent of the single store, and the wages of the single store employees.

6. The method for selecting a location for an overseas automobile after-sales service outlet as claimed in claim 1, characterized in that: After the clustering points with the largest customer coverage are used as energy storage vehicle after-sales service outlets, the clustering points with the largest customer coverage are used as commercial vehicle after-sales service outlets, and the vehicle after-sales service outlets with the lowest operating costs are used as passenger vehicle after-sales service outlets, it also includes: The energy storage vehicle after-sales service outlets and their service radius, the commercial vehicle after-sales service outlets and their service radius, the passenger vehicle after-sales service outlets and their service radius, and the vehicle customers within the site selection planning area are all displayed on the same map.

7. The method for selecting a location for an overseas automobile after-sales service outlet as claimed in claim 1, characterized in that: After obtaining the underlying parameters, it also includes: Preprocessing the obtained underlying parameters, wherein the preprocessing includes data cleaning, data type conversion, and data integration of the underlying parameters; The preprocessed underlying parameters are used as new underlying parameters, and the step of clustering the energy storage business after-sales service candidate points within the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters when the nature of the business is the energy storage business, or clustering the commercial business after-sales service candidate points within the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters when the nature of the business is the commercial business, or determining the operating costs of the energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets within the site selection planning area based on the obtained underlying parameters when the nature of the business is the passenger business.

8. A device for selecting a site for an overseas automobile after-sales service outlet, characterized in that: include: A business nature determination module, used to determine the business nature of the automobile served by the automobile after-sales service outlet to be selected, the business nature including energy storage business, commercial business and passenger business; triggering the energy storage outlet determination module when the business nature is the energy storage business, triggering the commercial outlet determination module when the business nature is the commercial business, and triggering the passenger outlet determination module when the business nature is the passenger business; The energy storage network point determination module is used to cluster the energy storage business after-sales service candidate points in the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters, determine the customer coverage of each cluster point, and use the cluster point with the largest customer coverage as the energy storage automobile after-sales service network point; The commercial network point determination module is used to cluster the commercial business after-sales service candidate points in the site selection planning area to obtain cluster points based on the obtained underlying parameters and target network point constraint parameters, determine the customer coverage of each cluster point, and use the cluster point with the largest customer coverage as the commercial automobile after-sales service network point; The passenger outlet determination module is used to determine the operating costs of energy storage automobile after-sales service outlets and commercial automobile after-sales service outlets within the site selection planning area based on the obtained underlying parameters, and to select the automobile after-sales service outlet with the lowest operating cost as the passenger automobile after-sales service outlet.

9. A site selection device for overseas automobile after-sales service outlets, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the method for selecting a site for an overseas automobile after-sales service outlet as claimed in any one of claims 1 to 7 when executing the computer program.

10. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for selecting a site for an overseas automobile after-sales service outlet as claimed in any one of claims 1 to 7.

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