Automobile battery recovery network site selection method, device and equipment and storage medium

Abstract

The invention discloses an automobile battery recovery network site selection method, device and equipment and a storage medium, and relates to the field of data processing.The method comprises the steps that firstly, based on obtained bottom layer parameters and network site screening parameters, target existing service network sites meeting network site screening conditions are screened out from all existing service network sites in a site selection planning area; the service provider strength index and the customer convenience index are used as scoring indexes, and each target existing service network is scored according to parameters related to the scoring indexes in the bottom layer parameters; and finally, sorting the target existing service websites according to a sequence of scores from high to low, and taking a preset planned number of target existing service websites which are sorted in the front as recommended automobile battery recovery websites, thereby intelligently and finely finishing site selection of the automobile battery recovery websites, improving site selection efficiency, and improving the site selection accuracy of the automobile battery recovery websites. And blind point selection and resource waste are avoided.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a method, device, equipment and storage medium for selecting a site for an automobile battery recycling network. Background Art

[0002] With the surge in sales of new energy vehicles, a large number of new energy vehicle power batteries are facing retirement, and battery recycling has become an important field. At present, the site selection of automobile battery recycling outlets mostly relies on manual offline inspections. Due to the limitations of resources, time and subjective judgment, it is difficult to fully take into account market demand, traffic conditions and cost-effectiveness, resulting in high site selection costs, long time consumption, low efficiency and difficulty in predicting market changes and competitive situations when selecting automobile battery recycling outlets. Therefore, a more scientific and effective method is needed to achieve the site selection of automobile battery recycling outlets. Summary of the invention

[0003] The purpose of the present invention is to provide a method for site selection of automobile battery recycling outlets, which can complete the site selection of automobile battery recycling outlets in a more intelligent and refined manner, improve site selection efficiency, and avoid blind site selection and waste of resources.

[0004] In order to solve the above technical problems, the present invention provides a method for selecting a site for an automobile battery recycling network, comprising:

[0005] Based on the obtained underlying parameters and the network point screening parameters, determine the target existing service network points that meet the network point screening conditions corresponding to the network point screening parameters among the existing service network points in the site selection planning area;

[0006] For each of the target existing service outlets, the preset service provider strength index and customer convenience index are used as scoring indicators, and the score of the target existing service outlet is determined according to the parameters of the target existing service outlet recorded in the underlying parameters and related to the scoring indicators;

[0007] The target existing service outlets are sorted in descending order according to the score, and a preset planned number of target existing service outlets with the highest ranking are used as recommended automobile battery recycling outlets.

[0008] Optionally, the network point screening parameters include a service radius of an existing service network point and an automobile customer weight determined according to each automobile customer covered within the service radius of the existing service network point;

[0009] The network point screening condition includes that the actual service radius of the existing service network point is greater than the service radius and the actual automobile customer weight of the existing service network point is greater than the automobile customer weight.

[0010] Optionally, determining the automobile customer weight according to automobile customers covered within the service radius of the existing service outlets includes:

[0011] Determine the customer type of each automobile customer within the service radius of the existing service outlets, wherein the customer type includes commercial vehicles and passenger vehicles;

[0012] For each automobile customer, the customer weight corresponding to the automobile customer is determined according to the corresponding relationship between the customer type and the customer weight; wherein the customer weight corresponding to the commercial vehicle is different from the customer weight corresponding to the passenger vehicle;

[0013] The automobile customer weight corresponding to the existing service outlets is determined based on the customer weight of each automobile customer within the service radius of the existing service outlets.

[0014] Optionally, the service provider strength indicator includes any one or a combination of multiple items of the enterprise nature, years of operation, and customer acquisition capability of the target existing service outlets;

[0015] Among them, the years of operation and the customer acquisition capabilities are positively correlated with the scores of the target existing service outlets.

[0016] Optionally, the customer convenience index includes any one or a combination of multiple items of customer coverage of the target existing service outlets, average customer distance, and customer service satisfaction;

[0017] Among them, the customer coverage and the customer service satisfaction are both positively correlated with the score of the target existing service outlets, and the average customer distance is negatively correlated with the score of the target existing service outlets.

[0018] Optionally, the customer coverage of the target existing service outlet is determined according to the automobile customers covered by the target existing service outlet, the customer types corresponding to the automobile customers, and the correspondence between the preset customer types and customer weights;

[0019] The customer types include commercial vehicles and passenger cars, and the customer weight corresponding to the commercial vehicles is different from the customer weight corresponding to the passenger cars.

[0020] Optionally, after taking the preset planned number of target existing service outlets ranked first as recommended automobile battery recycling outlets, the method further includes:

[0021] The automobile customers, existing service outlets, existing battery recycling outlets, recommended automobile battery recycling outlets and the service radius of the recommended automobile battery recycling outlets within the site selection planning area are displayed on the same map.

[0022] In order to solve the above technical problems, the present invention also provides a device for selecting a site for a car battery recycling network, comprising:

[0023] A screening module, for determining, based on the obtained underlying parameters and the network screening parameters, target existing service network points that meet the network screening conditions corresponding to the network screening parameters among the existing service network points in the site selection planning area;

[0024] A scoring module, for determining the score of each target existing service outlet, using a preset service provider strength index and a customer convenience index as scoring indicators, and according to the parameters of the target existing service outlet recorded in the underlying parameters and related to the scoring indicators;

[0025] The recycling outlet recommendation module is used to sort the target existing service outlets in descending order of scores, and use a preset number of target existing service outlets with the highest scores as recommended automobile battery recycling outlets.

[0026] In order to solve the above technical problems, the present invention also provides a site selection device for automobile battery recycling network points, comprising:

[0027] Memory for storing computer programs;

[0028] A processor is used to implement the steps of any of the above-mentioned methods for selecting a site for a car battery recycling network when executing the computer program.

[0029] In order to solve the above technical problems, the present invention also provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any of the above-mentioned methods for selecting a site for a car battery recycling network are implemented.

[0030] The beneficial effects of the present invention are that it provides a method, device, equipment and storage medium for selecting a site for an automobile battery recycling outlet. First, based on the obtained underlying parameters and outlet screening parameters, target existing service outlets that meet the outlet screening conditions are screened out from the existing service outlets in the site selection planning area; the service provider strength index and the customer convenience index are used as scoring indicators, and each target existing service outlet is scored separately according to the parameters related to the scoring indicators in the underlying parameters; finally, the target existing service outlets are sorted in order from high to low according to the score, and a preset planned number of target existing service outlets with the highest ranking are used as recommended automobile battery recycling outlets, thereby completing the site selection of automobile battery recycling outlets in an intelligent and refined manner, improving the site selection efficiency, and avoiding blind site selection and waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] 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.

[0032] Figure 1 A first flow chart of a method for selecting a site for an automobile battery recycling network provided by the present invention;

[0033] Figure 2 A second flow chart of a method for selecting a site for an automobile battery recycling network provided by the present invention;

[0034] Figure 3 A schematic diagram of an automobile battery recycling network provided by the present invention;

[0035] Figure 4 A schematic diagram of the structure of a site selection device for automobile battery recycling network points provided by the present invention;

[0036] Figure 5 A structural schematic diagram of a site selection device for an automobile battery recycling site provided by the present invention. DETAILED DESCRIPTION

[0037] The core of the present invention is to provide a method for site selection of automobile battery recycling outlets, which can complete the site selection of automobile battery recycling outlets in a more intelligent and refined manner, improve site selection efficiency, and avoid blind site selection and waste of resources.

[0038] 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.

[0039] Please refer to Figure 1 , Figure 1 The present invention provides a first flow chart of a method for selecting a site for an automobile battery recycling network, the method comprising:

[0040] Step 101: Based on the obtained underlying parameters and network point screening parameters, determine the target existing service network points that meet the network point screening conditions corresponding to the network point screening parameters among the existing service network points in the site selection planning area.

[0041] When selecting the site for automobile battery recycling outlets, the present invention selects target existing service outlets suitable for transformation or additional battery recycling business from existing service outlets (i.e., service outlets that have been built to provide automobile after-sales services before determining automobile battery recycling outlets), thereby making full use of the core advantages of existing service outlets such as site resources, professional technical teams, and a solid customer base. By sharing resources with target existing service outlets, the layout and expansion of automobile battery recycling outlets are accelerated, and the rapid start-up and steady growth of automobile battery recycling business are achieved.

[0042] When selecting the site for automobile battery recycling outlets, the present invention first obtains the underlying parameters and outlet screening parameters. Among them, the underlying parameters provide basic data support for realizing the site selection of automobile battery recycling outlets, including but not limited to recording the existing service outlets included in the site selection planning area, the service radius of each existing service outlet and the automobile customers it covers, and the outlet work orders of each service outlet. The underlying parameters can be updated according to a certain period. The outlet screening parameters are equivalent to the constraints for selecting the target existing service outlets from the existing service outlets, and the outlet screening parameters can be modified each time the site selection of automobile battery recycling outlets is performed.

[0043] The underlying parameters, network point screening parameters, and the network point screening conditions corresponding to the network point screening parameters will be introduced in detail later, so they will not be elaborated here.

[0044] Step 102: for each target existing service outlet, the preset service provider strength index and customer convenience index are used as scoring indexes, and the score of the target existing service outlet is determined according to the parameters related to the scoring index of the target existing service outlet recorded in the underlying parameters.

[0045] The present invention also constructs a complete set of scoring criteria, including service provider strength indicators from the perspective of major customers and customer convenience indicators from the perspective of minor customers. By comprehensively examining and quantitatively evaluating the parameters related to the service provider strength indicators and customer convenience indicators, the existing service outlets of each target are scored, and the recommended automobile battery recycling outlets are selected according to the scores. The above steps not only ensure the objectivity and fairness of the site selection of automobile battery recycling outlets, but also lay the foundation for the scientific site selection of automobile battery recycling outlets.

[0046] The above service provider strength indicators and customer convenience indicators can be set according to actual needs.

[0047] For example, the service provider strength index may include any one or a combination of the target existing service outlet's corporate nature, business years, and customer acquisition capabilities. The longer the business years and the higher the customer acquisition capabilities, the better the technical capabilities and customer base of the target service outlet. Therefore, in the present invention, the business years and customer acquisition capabilities of the target existing service outlet are positively correlated with the score of the target existing service outlet.

[0048] In addition, the service provider strength indicators may also include the social reputation, technical capabilities and industry experience of the target existing service outlets. After the above indicators are quantified according to certain standards, they can all be used to score the target existing service outlets. This application does not make any special limitations on this.

[0049] For example, the customer convenience index may include any one or more combinations of the customer coverage, average customer distance, and customer service satisfaction of the target existing service outlet. The higher the customer coverage and the higher the customer satisfaction, the better the customer base and technical capabilities of the target service outlet. Therefore, the customer coverage and customer service satisfaction are positively correlated with the score of the target existing service outlet. The average customer distance refers to the average distance between the target service outlet and all automobile customers covered within its service radius. The smaller the average customer distance, the higher the convenience of the target existing service outlet. Therefore, the average customer distance is negatively correlated with the score of the target existing service outlet.

[0050] In addition, the above customer coverage can be determined based on the automobile customers covered by the target existing service outlets, the customer types corresponding to the automobile customers, and the correspondence between the pre-set customer types and customer weights. In addition, the customer types include commercial vehicles and passenger vehicles, and the customer weights corresponding to commercial vehicles are different from the customer weights corresponding to passenger vehicles. For example, the sum of the customer weights of all automobile customers covered by the target existing service outlets is used as the customer coverage of the target existing service outlets.

[0051] The underlying parameters in the present invention record parameters related to the scoring indicators of each existing service outlet. When determining the score of a target existing service outlet, the score of the target existing service outlet can be determined based on the parameters related to the scoring indicators of the target existing service outlet recorded in the underlying parameters.

[0052] The present invention does not specifically limit the specific method for implementing the scoring of the target existing service outlets. For example, a site selection model with a rule algorithm is pre-trained, and the site selection model can perform statistical calculations on the parameters input to the site selection model based on the formulated scoring indicators to obtain a scoring result. Therefore, by inputting the parameters related to the scoring indicators of the target existing service outlets into the above-mentioned site selection model, the score of the target existing service outlets can be automatically determined, thereby improving the precision and accuracy of the site selection of the automobile battery recycling outlets.

[0053] Step 103: sort the target existing service outlets in descending order of scores, and use a preset number of target existing service outlets with the highest scores as recommended automobile battery recycling outlets.

[0054] The present invention predetermines a preset planning quantity, that is, the number of automobile battery recycling outlets expected to be built in the site selection planning area. The preset planning quantity can be set according to actual conditions.

[0055] After determining the score of each target existing service outlet, sort each target existing service outlet according to the score, and select a preset number of target existing service outlets with higher scores as recommended automobile battery recycling outlets to ensure that the recommended automobile battery recycling outlets have core advantages such as high site resources, professional technical team and solid customer base.

[0056] In summary, the method for site selection of automobile battery recycling outlets provided by the present invention first selects target existing service outlets that meet the outlet screening conditions from the existing service outlets in the site selection planning area based on the obtained underlying parameters and outlet screening parameters. Then, the service provider strength index and customer convenience index are used as scoring indicators, and each target existing service outlet is scored separately according to the parameters related to the scoring indicators in the underlying parameters. Finally, the target existing service outlets are sorted in order from high to low, and the preset planned number of target existing service outlets with the top rankings are used as recommended automobile battery recycling outlets, thereby completing the site selection of automobile battery recycling outlets in an intelligent and refined manner. It solves the problems of inefficiency and resource mismatch in traditional offline site selection, improves the accuracy and efficiency of site selection, and provides strong support for the development of the recycling market for new energy vehicle batteries.

[0057] The following is a detailed introduction to the process of selecting target existing service outlets from existing service outlets within the site selection planning area.

[0058] As an optional embodiment, the network point screening parameters include the service radius of the existing service network point and the car customer weight determined according to each car customer covered within the service radius of the existing service network point. Adaptively, the network point screening conditions include that the actual service radius of the existing service network point is greater than the service radius and the actual car customer weight of the existing service network point is greater than the car customer weight.

[0059] Considering that the service radius and the car customer weight determined by each car customer covered within the service radius of the existing service outlets can reflect the car customer coverage of the outlets to a certain extent, this embodiment introduces the service radius and car customer weight as restriction conditions when screening target existing service outlets, ensuring that the subsequently determined car battery recycling outlets can cover more car customers and achieve the site selection goal of maximizing customer coverage. Specifically, the existing service outlets in the site selection planning area whose actual service radius is greater than the service radius specified in the outlet screening parameters and whose actual car customer weight is greater than the car customer weight specified in the outlet screening parameters are used as target existing service outlets.

[0060] Please refer to Figure 3 , Figure 3 This is a schematic diagram of an automobile battery recycling network provided by the present invention. The automobile recycling network is selected from various existing service networks. Figure 3 Where L1 is the actual service radius of the automobile battery recycling outlets, and the actual service radius of the automobile battery recycling outlets is greater than the service radius specified by the outlet screening parameters.

[0061] As an optional embodiment, the automobile customer weight is determined according to the automobile customers covered within the service radius of the existing service outlets, including:

[0062] Determine the customer types of each automobile customer within the service radius of the existing service outlets, including commercial vehicles and passenger vehicles;

[0063] For each automobile customer, the customer weight corresponding to the automobile customer is determined according to the corresponding relationship between the customer type and the customer weight; wherein the customer weight corresponding to the commercial vehicle is different from the customer weight corresponding to the passenger vehicle;

[0064] The automobile customer weight corresponding to the existing service outlets is determined based on the customer weight of each automobile customer within the service radius of the existing service outlets.

[0065] In order to further improve the accuracy and foresight of the site selection decision of automobile battery recycling outlets, a customer weight allocation mechanism is introduced in this embodiment. By carefully analyzing the demand characteristics and influence of different types of automobile customers, customer weights are tailored for automobile customers of different customer types, and different customer weights correspond to different customer types of automobile customers. Ensure that the site selection decision of automobile battery recycling outlets can not only closely fit the core needs of the current business, but also flexibly respond to the dynamic changes of the future market. The implementation of this mechanism not only optimizes resource allocation, but also enhances the market adaptability and competitiveness of the site selection decision of automobile battery recycling outlets.

[0066] In this embodiment, customer types are mainly divided into commercial vehicles and passenger cars. The customer weights corresponding to commercial vehicles and passenger cars can be calculated based on factors such as customer churn rate level and industry lead transaction conversion rate, which are not limited in the present invention.

[0067] The present invention does not specifically limit the specific implementation method of determining the automobile customer weight corresponding to the existing service outlet based on the customer weight of each automobile customer within the service radius of the existing service outlet. For example, the sum of the customer weights of each automobile customer is used as the automobile customer weight corresponding to the existing service outlet.

[0068] In addition, in order to facilitate users to intuitively verify the rationality and accuracy of the site selection of automobile battery recycling outlets, the present invention, after selecting a preset number of target existing service outlets with a higher ranking as recommended automobile battery recycling outlets, also uses a visual method to display automobile customers, existing service outlets, existing battery recycling outlets, recommended automobile battery recycling outlets and the service radius of the recommended automobile battery recycling outlets within the site selection planning area on the same map.

[0069] If there are deviations in the site selection of automobile battery recycling outlets, the site selection model with rule-based algorithm mentioned above can be adjusted and optimized, such as adjusting the service provider strength index, customer convenience index, and customer weight.

[0070] The following is a detailed description of the underlying parameters required to determine the automotive battery recycling outlets.

[0071] The underlying parameters provide basic data support for the site selection of automobile battery recycling outlets, including but not limited to recording the existing service outlets included in the site selection planning area, the service radius of each existing service outlet and the automobile customers it covers, and the outlet work orders of each service outlet.

[0072] The underlying parameters also include parameters related to the scoring indicators of each existing service outlet, so that when determining the score of the target existing service outlet, the score of the target existing service outlet can be determined based on the parameters related to the scoring indicators of the target existing service outlet recorded in the underlying parameters. Taking the service provider strength indicators mentioned in the previous article as an example, including the nature of the enterprise, years of operation, customer acquisition capabilities, social reputation, technical capabilities and industry experience of the target existing service outlet, as appropriate, the nature of the enterprise, years of operation, customer acquisition capabilities, social reputation, technical capabilities and industry experience of each existing service outlet should be counted in advance and recorded in the underlying parameters. Similarly, taking the customer convenience indicators mentioned in the previous article as an example, including the customer coverage, average customer distance and customer service satisfaction of the target existing service outlet, the customer coverage, average customer distance and customer service satisfaction of each existing service outlet should be counted in advance and recorded in the underlying parameters.

[0073] After determining the required underlying parameters, the acquisition and preprocessing of the underlying parameters are also involved.

[0074] For the acquisition of underlying parameters, external data can be obtained in real time or regularly through technical means such as API (Application Programming Interface), data sharing platform, web crawler, etc., including scrap factories, social repair shops, bus and taxi companies, etc., and the number of new energy vehicles. Internal data can be obtained by importing files, such as existing service outlets, existing customers, outlet work orders, etc. At the same time, a data quality monitoring mechanism should be established to regularly evaluate the accuracy and completeness of the data, and problems found should be promptly handled and corrected to ensure that the data quality meets the analysis requirements.

[0075] For the preprocessing of the underlying parameters, the data obtained in the previous step needs to be cleaned, including removing duplicate records, correcting erroneous data, processing missing values, etc., to ensure the accuracy and consistency of the data; perform data conversion, such as data type conversion, data standardization, etc., to make the data suitable for subsequent analysis and algorithm processing; perform data integration, merge and integrate data from different sources to form a complete data set for subsequent site selection analysis.

[0076] Please refer to Figure 4 , Figure 4 A schematic diagram of a site selection device for a car battery recycling network provided by the present invention, the device comprising:

[0077] A screening module 401 is used to determine, based on the obtained underlying parameters and the network screening parameters, a target existing service network point that satisfies the network screening condition corresponding to the network screening parameter among the existing service networks in the site selection planning area;

[0078] Scoring module 402, for determining the score of each target existing service outlet, using the preset service provider strength index and customer convenience index as scoring indexes, and according to the parameters of the target existing service outlet recorded in the underlying parameters that are related to the scoring indexes;

[0079] The recycling network point recommendation module 403 is used to sort the target existing service network points in descending order of scores, and use a preset number of target existing service network points with the highest scores as recommended automobile battery recycling network points.

[0080] For a detailed introduction to the device for selecting a site for a car battery recycling site provided by the present invention, please refer to the embodiment of the method for selecting a site for a car battery recycling site, which will not be elaborated in this application.

[0081] Please refer to Figure 5 , Figure 5A schematic diagram of a site selection device for an automobile battery recycling network provided by the present invention, the device comprising:

[0082] Memory 501, used for storing computer programs;

[0083] The processor 502 is configured to implement any of the steps of the above-mentioned method for selecting a site for a car battery recycling network when executing a computer program.

[0084] For a detailed introduction to the site selection device for automobile battery recycling network points provided by the present invention, please refer to the embodiment of the site selection method for automobile battery recycling network points described above, and the present invention will not be elaborated herein.

[0085] 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 a car battery recycling network are implemented.

[0086] 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 a car battery recycling network, and the present invention will not be elaborated herein.

[0087] 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.

[0088] 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 automobile battery recycling network, characterized in that: include: Based on the obtained underlying parameters and the network point screening parameters, determine the target existing service network points that meet the network point screening conditions corresponding to the network point screening parameters among the existing service network points in the site selection planning area; For each of the target existing service outlets, the preset service provider strength index and customer convenience index are used as scoring indexes, and the score of the target existing service outlet is determined according to the parameters of the target existing service outlet recorded in the underlying parameters and related to the scoring indexes; The target existing service outlets are sorted in descending order according to the score, and a preset planned number of target existing service outlets with the highest ranking are used as recommended automobile battery recycling outlets.

2. The method for selecting a site for an automobile battery recycling network as claimed in claim 1, characterized in that: The network point screening parameters include the service radius of the existing service network points and the automobile customer weight determined according to each automobile customer covered within the service radius of the existing service network points; The network point screening condition includes that the actual service radius of the existing service network point is greater than the service radius and the actual automobile customer weight of the existing service network point is greater than the automobile customer weight.

3. The method for selecting a site for an automobile battery recycling network as claimed in claim 2, characterized in that: Determining the automobile customer weight according to the automobile customers covered within the service radius of the existing service outlets includes: Determine the customer type of each automobile customer within the service radius of the existing service outlets, wherein the customer type includes commercial vehicles and passenger vehicles; For each automobile customer, the customer weight corresponding to the automobile customer is determined according to the corresponding relationship between the customer type and the customer weight; wherein the customer weight corresponding to the commercial vehicle is different from the customer weight corresponding to the passenger vehicle; The automobile customer weight corresponding to the existing service outlets is determined based on the customer weight of each automobile customer within the service radius of the existing service outlets.

4. The method for selecting a site for an automobile battery recycling network as claimed in claim 1, characterized in that: The service provider strength index includes any one or a combination of the target existing service outlets’ corporate nature, years of operation, and customer acquisition capabilities; Among them, the years of operation and the customer acquisition capabilities are positively correlated with the scores of the target existing service outlets.

5. The method for selecting a site for an automobile battery recycling network as claimed in claim 1, characterized in that: The customer convenience index includes any one or a combination of multiple of the customer coverage of the target existing service outlets, the average distance of customers, and customer service satisfaction; Among them, the customer coverage and the customer service satisfaction are both positively correlated with the score of the target existing service outlets, and the average customer distance is negatively correlated with the score of the target existing service outlets.

6. The method for selecting a site for an automobile battery recycling network as claimed in claim 5, characterized in that: The customer coverage of the target existing service outlet is determined according to the automobile customers covered by the target existing service outlet, the customer types corresponding to the automobile customers, and the correspondence between the preset customer types and customer weights; The customer types include commercial vehicles and passenger cars, and the customer weight corresponding to the commercial vehicles is different from the customer weight corresponding to the passenger cars.

7. The method for selecting a site for an automobile battery recycling network as claimed in claim 1, characterized in that: After the preset planned number of target existing service outlets ranked first are used as recommended automobile battery recycling outlets, the method further includes: The automobile customers, existing service outlets, existing battery recycling outlets, recommended automobile battery recycling outlets and the service radius of the recommended automobile battery recycling outlets within the site selection planning area are displayed on the same map.

8. A device for selecting a site for a car battery recycling network, characterized in that: include: A screening module, for determining, based on the obtained underlying parameters and the network screening parameters, target existing service network points that meet the network screening conditions corresponding to the network screening parameters among the existing service network points in the site selection planning area; A scoring module, for determining the score of each target existing service outlet, using a preset service provider strength index and a customer convenience index as scoring indicators, and according to the parameters of the target existing service outlet recorded in the underlying parameters and related to the scoring indicators; The recycling outlet recommendation module is used to sort the target existing service outlets in descending order of scores, and use a preset number of target existing service outlets with the highest scores as recommended automobile battery recycling outlets.

9. A site selection device for automobile battery recycling 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 automobile battery recycling network 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 automobile battery recycling network as claimed in any one of claims 1 to 7.

Images