Repair information determination method and device, equipment, storage medium and program product

Abstract

The invention provides a repair pushing information determination method and device, equipment, a storage medium and a program product. The method comprises the steps that first attribute data and a pushing and repairing process of a fault vehicle are obtained, the pushing and repairing process comprises a plurality of process nodes, an execution sequence exists between the process nodes, and different process nodes correspond to different initial pushing and repairing data and attribute matching data; sequentially matching the first attribute data with corresponding attribute matching data in each process node in the pushing and repairing process according to the execution sequence so as to determine a target process node corresponding to the successfully matched target attribute matching data; and determining target push repair data of the fault vehicle according to the initial push repair data corresponding to the target process node. According to the method provided by the invention, the accuracy of the second repair pushing information can be improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method, device, equipment, storage medium and program product for determining recommended repair information. Background Art

[0002] When a vehicle breaks down, the relevant agency can provide recommended repair shops for customers to choose from. In the relevant repair recommendation method, the corresponding repair shop is generally provided to the customer based on the vehicle's fault location and insurance.

[0003] However, different vehicles have different insurance or vehicle conditions, and are willing to accept different recommended repair plans. For example, some vehicles have faults but have agreed repair shops, so the specific repair shops should be recommended. In other cases, some vehicles are on the blacklist and should not be recommended for repair. If recommended repair information is provided to customers only based on the fault location and insurance of the vehicle, the accuracy of the recommended repair information is low and it may not be able to adapt to meet the needs of different customers, thus resulting in failure of recommended repairs. Summary of the invention

[0004] The present application provides a method, device, equipment, storage medium and program product for determining recommended repair information, so as to solve the problem of low accuracy of recommended repair information.

[0005] In a first aspect, the present application provides a method for determining recommended repair information, comprising:

[0006] Acquire first attribute data and a recommended repair process of the faulty vehicle, wherein the recommended repair process includes a plurality of process nodes, each process node has an execution order, and different process nodes correspond to different initial recommended repair data and attribute matching data;

[0007] Matching the first attribute data with the corresponding attribute matching data in each process node in the recommended repair process in sequence according to the execution order to determine the target process node corresponding to the successfully matched target attribute matching data;

[0008] The target recommended repair data of the faulty vehicle is determined according to the initial recommended repair data corresponding to the target process node.

[0009] In an implementable manner, the multiple process nodes include a first process node, the initial recommended repair data corresponding to the first process node is empty, the attribute matching data corresponding to the first process node includes first attribute matching data, the first attribute data matches the first attribute matching data, and the target process node is the first process node;

[0010] The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes:

[0011] It is determined that the target recommended repair data is empty.

[0012] In an implementable manner, the plurality of process nodes include a second process node, the initial recommended repair data corresponding to the second process node includes a first repair shop, the attribute matching data corresponding to the second process node includes second attribute matching data, the first attribute data matches the second attribute matching data, and the target process node is the second process node;

[0013] The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes:

[0014] Matching a repair shop with maintenance authority for the faulty vehicle among the first repair shops to determine a first target repair shop;

[0015] The first target repair shop is determined as the target recommended repair data.

[0016] In an implementable manner, the multiple process nodes include a third process node, the initial recommended repair data corresponding to the third process node includes a second repair shop and a third repair shop, the attribute matching data corresponding to the third process node includes a first vehicle model, the first attribute data includes a faulty vehicle model of the faulty vehicle, the faulty vehicle model matches the first vehicle model, and the target process node is the third process node;

[0017] The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes:

[0018] Matching a repair shop with maintenance authority for the first vehicle model among the second repair shops to determine a second initial target repair shop;

[0019] If the second initial target repair shop receives the insurance data of the faulty vehicle, determining the second initial target repair shop as the target recommended repair data;

[0020] If the second initial target repair shop receives the insurance data of the faulty vehicle, a repair shop having maintenance authority for the first vehicle model is matched among the third repair shops to determine the target recommended repair data.

[0021] In an implementable manner, the plurality of process nodes include a fourth process node, the initial recommended repair data corresponding to the fourth process node includes a fifth repair shop, the attribute matching data corresponding to the fourth process node includes at least one preset insurance policy institution, the attribute matching data corresponding to the fourth process node includes a target insurance policy institution corresponding to the insurance policy of the faulty vehicle, the target insurance policy institution matches the at least one preset insurance policy institution, and the target process node is the fourth process node;

[0022] The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes:

[0023] Matching the repair shop corresponding to the target insurance policy institution among the fifth repair shops to determine an initial first repair shop;

[0024] A repair shop among the initial first repair shops having the repair authority for the faulty vehicle is determined as the target recommended repair data.

[0025] In an implementable manner, the multiple process nodes include a fifth process node, the initial recommended repair data corresponding to the fifth process node is a sixth repair shop, the attribute matching data corresponding to the fifth process node includes third attribute matching data, the first attribute data matches the third attribute matching data, and the target process node is the fifth process node;

[0026] The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes:

[0027] Matching the sixth repair shop with a repair shop that repairs the faulty vehicle within a preset time period, and / or matching the sixth repair shop with a repair shop that is within a preset distance range of the faulty vehicle to determine an initial first repair shop;

[0028] configuring a corresponding weight for each repair shop in the initial first repair shop, so as to determine a score for each repair shop in the initial first repair shop based on the corresponding weight configured for each repair shop in the initial first repair shop;

[0029] Based on the score of each repair shop in the initial first repair shop, target recommended repair data is determined.

[0030] In an implementable manner, the plurality of process nodes include a sixth process node, the attribute matching data corresponding to the sixth process node includes at least one preset insurance policy, the initial recommended repair data corresponding to the sixth process node is a preset repair shop corresponding to each preset insurance policy, different insurance policies correspond to preset repair shops, the first attribute data includes a target insurance policy for the faulty vehicle, the target insurance policy matches the at least one preset insurance policy, and the target process node is the sixth process node;

[0031] The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes:

[0032] Matching a target preset repair shop corresponding to the target insurance policy among the preset repair shops;

[0033] If the number of the target preset repair shop is one, determining the target preset repair shop as the target recommended repair data;

[0034] If there are multiple target preset repair shops, the repair shops corresponding to the preset insurance policies of commercial insurance policies among the target preset repair shops are determined as the target recommended repair data.

[0035] In a second aspect, the present application provides a device for determining recommended repair information, including: a data acquisition module, for acquiring first attribute data of a faulty vehicle and a recommended repair process, wherein the recommended repair process includes a plurality of process nodes, each process node has an execution order, and different process nodes correspond to different initial recommended repair data and attribute matching data;

[0036] A node determination module, used for matching the first attribute data with the corresponding attribute matching data in each process node in the recommended repair process in sequence according to the execution order, so as to determine the target process node corresponding to the successfully matched target attribute matching data;

[0037] The recommended repair data determination module is used to determine the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node.

[0038] In a third aspect, the present application provides an electronic device, comprising: a processor and a memory; the memory is used to store instructions; the processor is used to execute the instructions in the memory, so that the electronic device executes the method described in the first aspect.

[0039] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method described in the first aspect.

[0040] In a fifth aspect, the present application provides a computer program product, including a computer program, which implements the method described in the first aspect when executed by a processor.

[0041] The method, device, equipment, storage medium and program product for determining recommended repair information provided by the present application, by setting a recommended repair process, the recommended repair process has multiple process nodes, different nodes are set with different attribute matching data and initial recommended repair data, and the execution order between the process nodes is set, so that when a faulty vehicle occurs, it is directly determined based on the execution order whether the first attribute data of the faulty vehicle and the attribute matching data of each process node are successful, so as to determine the target process node that is more suitable for the faulty vehicle, so as to accurately match the target recommended repair data of the faulty vehicle according to the corresponding initial recommended repair data in the target process node, and the target recommended repair data can adapt to different situations of the faulty vehicle, improve the accuracy of the target recommended repair data, and improve customer satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0043] Figure 1 This is an implementation scenario diagram shown for an exemplary embodiment;

[0044] Figure 2 A flowchart of a method for determining recommended repair information is shown as an exemplary embodiment;

[0045] Figure 3 A structural diagram of a push repair process is shown as an exemplary embodiment;

[0046] Figure 4 The structure diagram of a device for determining recommended repair information is shown as an exemplary embodiment;

[0047] Figure 5 The present invention is a block diagram of an electronic device showing an exemplary embodiment.

[0048] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0049] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0050] It should be noted that the attribute information of the faulty vehicle, the information of the repair shop and other data involved in this application (including but not limited to data used for analysis, stored data, displayed data, etc.) are all information and data understood and authorized by the relevant users or fully authorized by all parties, and the collection, use, processing, transmission, provision, disclosure and application of the relevant data comply with the laws, regulations and standards of the relevant countries and regions, take necessary confidentiality measures, do not violate public order and good morals, and comply with the principles of legality, legitimacy and necessity.

[0051] The present embodiment provides a method, device, apparatus, storage medium and program product for determining recommended repair information, aiming to solve the problem of low accuracy of recommended repair information.

[0052] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0053] The method for determining recommended repair information provided by the present application can be implemented in any electronic device with data processing capabilities, or in a recommended repair information determination system. It should be noted that the recommended repair information determination system can be deployed separately on an electronic device in any environment (for example, separately deployed on an edge server in an edge environment), or can be deployed entirely in a cloud environment, or can be deployed in a distributed manner in different environments.

[0054] For example, the repair information determination system can be logically divided into multiple parts, each with different functions. The various parts of the repair information determination system can be deployed in any two or three of the electronic device (located on the user side, such as the client), the edge environment, and the cloud environment. The edge environment is an environment that includes a collection of edge electronic devices that are close to the electronic device. The edge electronic devices include: edge servers, edge stations with computing power, etc. The various parts of the repair information determination system deployed in different environments or devices work together to realize the functions of the data processing platform.

[0055] It should be understood that this application does not make any restrictive division on which parts of the repair information determination system are deployed and in what specific environment. In actual application, it can be adaptively deployed according to the computing power of the electronic device, the resource availability of the edge environment and the cloud environment, or the specific application requirements.

[0056] like Figure 1 1 is an implementation scenario diagram showing an exemplary embodiment. The recommended repair information determination system corresponding to the implementation scenario includes a client 10 and a server 11. The client 10 and the server 11 are connected via network communication.

[0057] The execution subject of the method of the embodiment of the present application is the server 11, and the client 10 can receive and obtain the first attribute data of the faulty vehicle. The client 10 sends the fault location and faulty vehicle information of the faulty vehicle to the server 11 through the network. The server 11 determines the recommended repair information, obtains the target recommended repair data, and can feed back the target recommended repair data to the client 10 through the network. The client 10 has a graphic user interface, and the target recommended repair data can be displayed on the graphic user interface.

[0058] In some embodiments, after receiving the fault location and faulty vehicle information of the faulty vehicle, the server 11 obtains a recommended repair process, which includes multiple process nodes. There is an execution order between each process node, and different process nodes correspond to different initial recommended repair data and attribute matching data. The first attribute data is matched with the corresponding attribute matching data in each process node in the recommended repair process in sequence according to the execution order to determine the target process node corresponding to the successfully matched target attribute matching data; the target recommended repair data of the faulty vehicle is determined according to the corresponding initial recommended repair data of the target process node.

[0059] It is understandable that the repair information determination device can be arranged at Figure 1 In the server 11, but the example shown in this embodiment Figure 1 The implementation environment shown is only exemplary. In other embodiments, the method for determining recommended repair information may also be applied to other implementation environments, and the device for determining recommended repair information may also be set in other structures in other implementation environments, which is not specifically limited here.

[0060] In this embodiment, the client 10 is an electronic device on the user side, which can be a wired terminal with a visualization structure or a wireless terminal. In other embodiments, the terminal can be an electronic device with a visualization structure such as a mobile phone, a computer, a tablet, and a vehicle-mounted device.

[0061] The server 11 can be an edge environment and a cloud environment, such as a physical server, a server cluster, and a cloud server, etc., and no specific limitations are made here.

[0062] Figure 2 A flowchart of a method for determining recommended repair information is shown as an exemplary embodiment, and is applied to Figure 1 The server 11 in Figure 2 As shown, the method includes steps S210 to S270, which are described in detail as follows:

[0063] Step S210: Acquire the first attribute data and the recommended repair process of the faulty vehicle. The recommended repair process includes a plurality of process nodes. There is an execution order between each process node. Different process nodes correspond to different initial recommended repair data and attribute matching data.

[0064] In some embodiments, the faulty vehicle sends a fault message, the user corresponding to the faulty vehicle is protected, and the first attribute data can be matched through the identification of the faulty vehicle (such as a license plate, etc.) or the identification of the user corresponding to the faulty vehicle.

[0065] In this implementation, the first attribute data of the faulty vehicle may include the model of the faulty vehicle, the cause of the fault, the location of the fault, the fault condition, the insurance policy data, the repair shop with historical repairs, the time of reporting the fault, etc., without specific restrictions here.

[0066] The recommendation and repair process includes multiple process nodes. There is an execution order between each process node. Different process nodes correspond to different initial recommendation and repair data and attribute matching data.

[0067] The initial recommended repair data is the recommended repair shop, and the attribute matching data is used to determine whether the faulty vehicle matches the corresponding process node.

[0068] The recommended repair process node is a preset process node. The number of process nodes in the recommended repair process node may not be limited, such as 2 or more. The execution order between the process nodes may not be limited and may be set according to experience parameters.

[0069] In this embodiment, the first attribute data and the recommended repair process of the faulty vehicle are obtained, and then target recommended repair data can be determined for the faulty vehicle. The target recommended repair data is the repair shop recommended for the faulty vehicle.

[0070] Step S230: matching the first attribute data with the corresponding attribute matching data in each process node in the recommended repair process in sequence, to determine the target process node corresponding to the successfully matched target attribute matching data.

[0071] In this embodiment, the first attribute data is matched with the corresponding attribute matching data in each process node in the recommended repair process. If the match is successful, the target process node corresponding to the successfully matched target attribute matching data is matched.

[0072] For example, in one embodiment, the repair process includes three process nodes, and the corresponding execution orders are process node 1, process node 2 and process node 3, respectively. The first attribute data is matched with the attribute matching data of process node 1. If the match is unsuccessful, the first attribute data is matched with the attribute matching data of process node 2. If the match is successful, process node 2 is determined as the target process node.

[0073] In some embodiments, if a target process node is determined, and the corresponding initial repair data of the target process node is not empty, and the target repair data matched by the corresponding initial repair data of the target process node is empty, the first attribute data can be matched with the corresponding attribute matching data in the next process node located in the execution order of the current target process node, and the next target process node can be determined.

[0074] Step S250: determining target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node.

[0075] In this embodiment, for each process node, there is corresponding initial recommended repair data, and each process node may have a corresponding method of matching target recommended repair data. After determining the target process node, the target recommended repair data of the faulty vehicle can be matched in the corresponding initial recommended repair data of the target process node based on the corresponding initial recommended repair data and the first attribute data of the target process node.

[0076] The embodiment of the present application sets up a repair recommendation process, in which there are multiple process nodes, different nodes are set with different attribute matching data and initial repair recommendation data, and the execution order between the process nodes is set, so that when a faulty vehicle occurs, it is directly determined based on the execution order whether the first attribute data of the faulty vehicle and the attribute matching data of each process node are successful, so as to determine the target process node that is more suitable for the faulty vehicle, so as to accurately match the target repair recommendation data of the faulty vehicle according to the corresponding initial repair recommendation data in the target process node, and the target repair recommendation data can adapt to different situations of the faulty vehicle, improve the accuracy of the target repair recommendation data, and improve customer satisfaction.

[0077] Figure 3 It is a structural diagram of a repair process shown as an exemplary embodiment. The repair process includes 6 process nodes, which are the first process node, the second process node, the third process node, the fourth process node, the fifth process node and the sixth process node in the order of execution.

[0078] Understandably, Figure 3 The recommended repair process is exemplary. In other embodiments, there may be other numbers of process nodes or different execution orders between other multiple process nodes.

[0079] In one embodiment, the initial recommended repair data corresponding to the first process node is empty, and the attribute matching data corresponding to the first process node includes first attribute matching data. The first process node is used to determine whether the faulty vehicle does not need to be repaired. If the first attribute data matches the first attribute matching data, the target process node is the first process node. At this time, the initial recommended repair data is empty, and it can be determined that the target recommended repair data is empty.

[0080] In some embodiments, the first attribute matching data may include one or more of a preset vehicle model, a preset time interval, a preset claim category, a preset fault event, and a preset vehicle status. The preset time interval is the interval between the fault time and the fault reporting time. If the first attribute data matches the first attribute matching data, the target process node is the first process node.

[0081] In this embodiment, if the model of the faulty vehicle in the first attribute data is a preset model, the target process node is the first process node.

[0082] The preset vehicle type can be set by yourself, such as including one or more of a passenger car, a minibus, a bus, a truck, a special vehicle, a motorcycle, a tractor, etc.

[0083] In this embodiment, if the interval between the fault time and the fault reporting time of the faulty vehicle in the first attribute data is greater than the preset time interval, the target process node is the first process node.

[0084] The preset time interval can be set by yourself, such as 5 hours, 12 hours, etc., indicating that the faulty vehicle is a supplementary report.

[0085] In this embodiment, if the fault event of the faulty vehicle in the first attribute data is a preset fault event, the target process node is the first process node.

[0086] Preset fault events can be set by yourself, such as including one or more of the insured vehicle loss, glass breakage accident, etc.

[0087] In this embodiment, if the claim category of the faulty vehicle in the first attribute data is a preset claim category, the target process node is the first process node.

[0088] The preset claim categories can be set by yourself, such as one or more of mutual collision claims, salvage claims, difficult claims, hit-and-run claims, internal agency claims, external agency claims, mutual collision self-compensation claims, subrogation claims, two-car collision one-party full liability claims, two-car collision both-party full liability claims, etc.

[0089] In this embodiment, if the vehicle state of the faulty vehicle in the first attribute data is a preset vehicle state, the target process node is the first process node.

[0090] The preset vehicle status can be set by yourself, such as including repaired in the store, etc.

[0091] In some embodiments, the vehicle status of the faulty vehicle is that it has been repaired in a shop, and it is also possible to determine whether the repair shop where the faulty vehicle is located is an insured repair shop, and determine the type of the repair shop.

[0092] In some embodiments, the first attribute matching data may also include a preset insurance status, which may include no vehicle damage insurance, no insurance repair shop terms, etc. When the first attribute data matches the first attribute matching data, it means that the faulty vehicle has no vehicle damage insurance, or there is no function of providing recommended repairs.

[0093] In some embodiments, the first attribute matching data may also include preset fault events, such as faults caused by illegal or criminal events.

[0094] In some embodiments, the first attribute matching data may also include a preset user identifier, which is used to identify the identifier of a user who has preset a setting that does not require repair data. The user may be the insurer of the faulty vehicle, or the user of the faulty vehicle.

[0095] In some embodiments, the first attribute matching data may also include a preset service life. When the service life of the faulty vehicle exceeds the preset service life, the first attribute data is matched with the first attribute matching data, and the target process node is the first process node. The value of the preset service life can be set by oneself, such as 5 years, 10 years, etc.

[0096] In some embodiments, the first attribute matching data may further include a preset fault environment, which may include one or more of heavy rain, driving / dynamic falling water, parking, static flooding, etc.

[0097] In some embodiments, the plurality of process nodes include a second process node, the initial recommended repair data corresponding to the second process node includes a first repair shop, and the attribute matching data corresponding to the second process node includes second attribute matching data.

[0098] The second process node is used to determine whether the faulty vehicle needs to be sent for centralized repair.

[0099] If the first attribute data matches the second attribute matching data, the target process node is the second process node, and a repair shop with maintenance authority for the faulty vehicle is matched in the first repair shop to determine the first target repair shop; the first target repair shop is determined as the target recommended repair data.

[0100] The initial recommended repair data corresponding to the centralized repair includes the first repair shop.

[0101] The second attribute matching data may include one or more of a preset vehicle model code, a preset insurance agency, a preset vehicle type, a preset repair brand, a preset vehicle value, etc. The numerical values ​​corresponding to each indicator of the second attribute matching data can be set by oneself, and no specific restrictions are made here. For example, one or more preset vehicle model codes can be set by oneself, and one or more preset repair brands can be set by oneself.

[0102] The target process node can be determined to be the second process node only when all data in the first attribute data and the second attribute matching data match.

[0103] The first repair shop may include all resources and public resources. The target process node is determined to be the second process node. It is judged whether the repair shop in the first repair shop in the public resources that has the authority to repair the faulty vehicle only accepts the insurance resources. If the shop only accepts the insurance resources, the centralized determination of the first target repair shop by the public resources fails. The repair shop in the first repair shop in the full resources that has the authority to repair the faulty vehicle is determined as the first target repair shop. The full resources do not need to consider whether the recommended repair shop only accepts the insurance resource status.

[0104] In this implementation, the parameters corresponding to the second attribute matching data can be configured for the same insurance institution and the same brand.

[0105] In some embodiments, different second attribute matching data may correspond to different regions, which is not specifically limited here.

[0106] The initial recommended repair data corresponding to the third process node includes the second repair shop and the third repair shop, the attribute matching data corresponding to the third process node includes the first vehicle model, and the first attribute data includes the faulty vehicle model of the faulty vehicle.

[0107] The third process node corresponds to special promotion and repair.

[0108] In this embodiment, the second repair shop is a repair shop for common resources in the third process node, and the third repair shop is a repair shop for all resources in the third process node.

[0109] A repair shop with maintenance authority for the first vehicle model is matched in the second repair shop to determine a second initial target repair shop; if the second initial target repair shop receives the insurance data of the faulty vehicle, the second initial target repair shop is determined as the target recommended repair data; if the second initial target repair shop receives the insurance data of the faulty vehicle, a repair shop with maintenance authority for the first vehicle model is matched in the third repair shop to determine the target recommended repair data.

[0110] The first vehicle type may include vehicles such as buses, trucks, etc.

[0111] In this embodiment, matching a repair shop with maintenance authority for the first vehicle model is one matching method. In other embodiments, other matching methods can be added on this basis, such as matching a repair shop that is close to the fault location of the faulty vehicle and has maintenance authority to determine it as the second initial target repair shop. The method of matching the second initial target repair shop in the second repair shop or matching the target recommended repair data in the third repair shop is not limited here.

[0112] In this embodiment, the matching methods for matching the second initial target repair shop in the second repair shop or matching the target recommended repair data in the third repair shop corresponding to different areas may be the same or different.

[0113] In one embodiment, the plurality of process nodes include a fourth process node, and the initial recommended repair data corresponding to the fourth process node includes a fifth repair shop.

[0114] The fourth process node is the underwriting and repair method.

[0115] The attribute matching data corresponding to the fourth process node includes at least one preset insurance policy agency, and the attribute matching data corresponding to the fourth process node includes a target insurance policy agency corresponding to the insurance policy of the faulty vehicle, and the target insurance policy agency matches at least one preset insurance policy agency.

[0116] The target process node is the fourth process node, and the repair shop corresponding to the target insurance policy institution is matched in the fifth repair shop to determine the initial first repair shop; the repair shop in the initial first repair shop that has the repair authority for the faulty vehicle is determined as the target recommended repair data.

[0117] In this embodiment, insurance repair can be promoted for the preset insurance policy institution.

[0118] After the match is successful, the repair shop corresponding to the target insurance policy institution corresponding to the faulty vehicle can be matched in the fifth repair shop to obtain the initial first repair shop. It can be understood that the effective status of the initial first repair shop can also be determined, and the repair shops in the initial first repair shop that are in an invalid state can be screened out to obtain the screened-out initial first repair shop, and then the repair shops in the screened-out initial first repair shop that have the repair authority for the faulty vehicle can be determined as the target recommended repair data.

[0119] In some embodiments, the plurality of process nodes include a fifth process node, the initial recommended repair data corresponding to the fifth process node is a sixth repair shop, and the attribute matching data corresponding to the fifth process node includes third attribute matching data.

[0120] The fifth process node is a node for performing repairs based on the status of the faulty vehicle.

[0121] The first attribute data matches the third attribute matching data, the target process node is the fifth process node, and the repair shop that repairs the faulty vehicle within a preset time period is matched in the sixth repair shop, and / or, the repair shop located within a preset distance range of the faulty vehicle is matched in the sixth repair shop to determine the initial first repair shop; a corresponding weight is configured for each repair shop in the initial first repair shop to determine the score of each repair shop in the initial first repair shop based on the corresponding weight configured for each repair shop in the initial first repair shop; based on the score of each repair shop in the initial first repair shop, the target recommended repair data is determined.

[0122] In this embodiment, the third attribute matching data may not exist, that is, if the corresponding target process node is matched before the fifth process node, the fifth process node can be directly determined as the target process node. Of course, the third attribute matching data may exist.

[0123] In some embodiments, the user may pre-select to match based on historical recommended repair data and / or select to match based on region to recommend repair data.

[0124] In some embodiments, if the user does not pre-select, the default setting is to match based on historical recommended data and / or to select matching based on region.

[0125] In some embodiments, the historical repair data is matched to a repair shop in the sixth repair shop that repairs the faulty vehicle within a preset time period. The preset time period may be 2 years or 3 years, and there is no specific limitation here.

[0126] In some embodiments, after the repair shops that match the faulty vehicle within a preset time period are obtained as the initial first repair shops, further screening can be performed among the initial first repair shops to obtain the screened initial first repair shops, and corresponding weights are configured for each repair shop in the screened initial first repair shops, so as to determine the scores of each repair shop in the screened initial first repair shops based on the corresponding weights configured for each repair shop in the screened initial first repair shops; and target recommended repair data is determined based on the scores of each repair shop in the screened initial first repair shops.

[0127] For example, if the repair shop where the faulty vehicle was repaired within 2 years is determined as the initial first repair shop, one or more repair shops with the largest number of repairs at the initial first repair shop will be determined as the initial first repair shop after screening; if the number of repairs at each initial first repair shop is the same, the repair shop with the most recent repair among the initial first repair shops will be determined as the initial first repair shop after screening; if no maintenance record of the vehicle is found within 2 years, the initial first repair shop within 3 years will be searched for.

[0128] In some embodiments, the insurance shop information list of the faulty vehicle can be determined based on the vehicle's frame number. If it is determined that the faulty vehicle currently has insurance policy information and an insurance shop, the sixth repair shop is matched with a repair shop that has repaired the faulty vehicle within a preset time period. If it is determined that the faulty vehicle currently has no insurance policy information or no insurance shop, the repair shop matched in the sixth repair shop that has repaired the faulty vehicle within a preset time period is empty.

[0129] In some embodiments, if the faulty vehicle currently has insurance policy information and an underwriting shop, and the underwriting shop is valid (the recommended repair code is matched according to the returned underwriting shop code. If a match is found, and the shop configured with the recommended repair code is valid and the shop accepts public resource repair recommendations, then it is valid), then the contracted shop can be directly determined as the initial first repair shop.

[0130] It can be understood that if the number of the initial first repair shops is zero, the first attribute data can be directly matched with the attribute matching data corresponding to the next process node in the execution order.

[0131] In some embodiments, the area matching is based on matching a repair shop within a preset distance range of the faulty vehicle in the sixth repair shop to determine the initial first repair shop, and the preset distance range can be set by oneself, such as 2 kilometers, 5 kilometers, etc.

[0132] In other embodiments, the repair shops matched in the sixth repair shop that are located within a preset distance range of the faulty vehicle can be sorted according to the distance from the location of the faulty vehicle, and one or more initial first repair shops that are close to the location of the faulty vehicle are determined as the screened initial first repair shops.

[0133] It can be understood that the initial first repair shop is a repair shop that has the authority to repair faulty vehicles.

[0134] In this embodiment, the weight of each repair shop in the initial first repair shop can be determined based on one or more indicators of four calculation bases, namely, historical repair amount + newly estimated loss amount, historical number of repair items + newly estimated loss number, historical amount sent for repair + newly estimated loss amount, and historical number of items sent for repair + newly estimated loss number.

[0135] If (historical repair amount + new estimated loss amount) is used as the indicator, the weight = (historical repair amount + new estimated loss amount) / repair shop share.

[0136] The statistical method for the number of historical repairs is: if the current repair business has been sent for repair but the damage has not been determined, the number of pieces will be recorded in the repair shop; if the current repair business has been determined, the number of pieces will be recorded in the damage determination shop. The statistical period is one month.

[0137] The method for counting the number of repair items in history is as follows: regardless of whether the current repair business is assessed as damaged, the number of items is directly recorded at the repair shop, and the statistical period is one month.

[0138] The statistical method for historical repair amounts or historical repair amounts is: if the current repair business has been assessed, the total assessed amount will be counted; if the damage has been assessed and the assessed amount is 0, this business will not be counted; if the damage has not been assessed, the estimated loss amount will be counted; if the investigation has not been carried out, the reported loss amount will be counted; the statistical period is one month.

[0139] The value of the historical repair amount or the historical repair amount can be set with upper and lower limits. If it is lower than the lower limit, the historical repair amount or the historical repair amount is determined as the lower limit. If it exceeds the upper limit, the historical repair amount or the historical repair amount is determined as the upper limit.

[0140] In one embodiment, if the share of any repair shop in the share of repair shops corresponding to a certain model changes (except when the share of the repair shop changes to 0), the statistical period of the historical repair amount or historical repair amount or historical number of repair pieces or historical number of repair pieces for a month is from the change date to the day before the current date (the interval between the change date and the current date is less than 30 days). For example: the current date is November 23, 2017, if the share of any repair shop under a certain strategy is changed on October 29, 2017, then the statistical period of the historical repair amount or historical repair amount or historical number of repair pieces or historical number of repair pieces is the number or amount from October 29 to November 22, 2017.

[0141] New estimated loss amount: The estimated loss amount of the vehicle model sent for repair on the same day. The new estimated loss amount can also be set with upper and lower limits. If it is lower than the lower limit, the historical repair amount or the historical repair amount is determined as the lower limit. If it exceeds the upper limit, the historical repair amount or the historical repair amount is determined as the upper limit.

[0142] New number of estimated damages: the number of vehicle types sent for repair on the same day.

[0143] Repair shop share: The repair shop share configuration is performed. The share is set according to the repair area and the share of the repair brand in each repair shop. There is no control on the total share. If no share is set, it is calculated on average.

[0144] In some embodiments, the same initial value may be configured for each repair shop in the initial first repair shop, and the score of each repair shop in the initial first repair shop may be determined by the corresponding initial value and weight.

[0145] Based on the scores of each repair shop in the initial first repair shop, one or more repair shops with high scores may be selected as target recommended repair data.

[0146] In some embodiments, the attribute matching data corresponding to the sixth process node includes at least one preset insurance policy, and the initial recommended repair data corresponding to the sixth process node is the preset repair shop corresponding to each preset insurance policy, and different insurance policies correspond to preset repair shops.

[0147] The sixth process node is to recommend repairs based on the insurance policy.

[0148] The first attribute data includes a target insurance policy for the faulty vehicle, the target insurance policy matches at least one preset insurance policy, the target process node is the sixth process node, and the target preset repair shop corresponding to the target insurance policy is matched among the preset repair shops; if the number of target preset repair shops is one, the target preset repair shop is determined as the target recommended repair data; if the number of target preset repair shops is multiple, the repair shop among the target preset repair shops whose corresponding preset insurance policy is a commercial insurance policy is determined as the target recommended repair data.

[0149] In this embodiment, one preset insurance policy can only correspond to one preset repair shop, but one preset repair shop can correspond to multiple preset insurance policy numbers, and the preset insurance policy and the insurance policy of the faulty vehicle can be matched through the corresponding insurance policy numbers.

[0150] In this way, the corresponding target preset repair shop can be matched according to the insurance policy number of the faulty vehicle.

[0151] In some embodiments, if there are multiple target preset repair shops, it means that the faulty vehicle may have multiple types of auto insurance, such as commercial insurance and compulsory traffic insurance. The repair shop whose corresponding preset policy is a commercial policy among the target preset repair shops is determined as the target recommended repair data.

[0152] In some embodiments, if the faulty vehicle cannot match the target process node in each process node in the recommended repair process, or the target recommended repair data obtained by the matched target process node is empty, the target recommended repair data can also be determined by manually obtaining the repair shop.

[0153] The embodiment of the present application proposes a method for determining recommended repair information. Multiple process nodes can be set. Different process nodes can match the attribute data of the faulty vehicle to determine the target process node applicable to the faulty vehicle. The target recommended repair data can be determined by the target process node corresponding to the initial recommended repair data. The method can adapt to different scenarios of the faulty vehicle and improve the user's satisfaction with the recommended repair results.

[0154] Figure 4 FIG. 4 is a structural diagram of a device for determining recommended repair information according to an exemplary embodiment. The device for determining recommended repair information 400 includes:

[0155] The data acquisition module 410 is used to acquire the first attribute data and the recommended repair process of the faulty vehicle, wherein the recommended repair process includes a plurality of process nodes, each process node has an execution order, and different process nodes correspond to different initial recommended repair data and attribute matching data;

[0156] The node determination module 430 is used to sequentially match the first attribute data with the corresponding attribute matching data in each process node in the recommended repair process in the execution order to determine the target process node corresponding to the successfully matched target attribute matching data;

[0157] The recommended repair data determination module 450 is used to determine the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node.

[0158] In an implementable manner, the plurality of process nodes include a first process node, the initial recommended repair data corresponding to the first process node is empty, the attribute matching data corresponding to the first process node includes first attribute matching data, the first attribute data matches the first attribute matching data, and the target process node is the first process node; the recommended repair data determination module includes:

[0159] The first recommended repair data determining unit is used to determine that the target recommended repair data is empty.

[0160] In one implementable manner, the plurality of process nodes include a second process node, the initial recommended repair data corresponding to the second process node includes a first repair shop, the attribute matching data corresponding to the second process node includes second attribute matching data, the first attribute data matches the second attribute matching data, and the target process node is the second process node; the recommended repair data determination module includes:

[0161] A first repair shop determining unit, configured to match a repair shop with repair authority for the faulty vehicle in the first repair shop to determine a first target repair shop;

[0162] The second recommended repair data determining unit is used to determine the first target repair shop as the target recommended repair data.

[0163] In an implementable manner, the plurality of process nodes include a third process node, the initial recommended repair data corresponding to the third process node includes a second repair shop and a third repair shop, the attribute matching data corresponding to the third process node includes a first vehicle model, the first attribute data includes a faulty vehicle model of the faulty vehicle, the faulty vehicle model matches the first vehicle model, and the target process node is the third process node; the recommended repair data determination module includes:

[0164] A second repair shop determining unit is used to match a repair shop with maintenance authority for the first vehicle model in the second repair shop to determine a second initial target repair shop;

[0165] a third recommended repair data determining unit, configured to determine the second initial target repair shop as the target recommended repair data if the second initial target repair shop receives the insurance data of the faulty vehicle;

[0166] The fourth recommended repair data determining unit is used to match a repair shop with maintenance authority for the first vehicle model in the third repair shop to determine target recommended repair data if the second initial target repair shop receives the insurance data of the faulty vehicle.

[0167] In an implementable manner, the plurality of process nodes include a fourth process node, the initial recommended repair data corresponding to the fourth process node includes a fifth repair shop, the attribute matching data corresponding to the fourth process node includes at least one preset insurance policy agency, the attribute matching data corresponding to the fourth process node includes a target insurance policy agency corresponding to the insurance policy of the faulty vehicle, the target insurance policy agency matches at least one preset insurance policy agency, and the target process node is the fourth process node; the recommended repair data determination module includes:

[0168] A third repair shop determining unit, configured to match a repair shop corresponding to a target insurance policy institution in the fifth repair shop to determine an initial first repair shop;

[0169] The fifth recommended repair data determining unit is used to determine a repair shop having repair authority for the faulty vehicle among the initial first repair shops as the target recommended repair data.

[0170] In an implementable manner, the plurality of process nodes include a fifth process node, the initial recommended repair data corresponding to the fifth process node is a sixth repair shop, the attribute matching data corresponding to the fifth process node includes third attribute matching data, the first attribute data matches the third attribute matching data, and the target process node is the fifth process node; the recommended repair data determination module includes:

[0171] a fourth repair shop determining unit, configured to match a repair shop that repairs the faulty vehicle within a preset time period in the sixth repair shop, and / or to match a repair shop that is located within a preset distance range of the faulty vehicle in the sixth repair shop, so as to determine an initial first repair shop;

[0172] a score determination unit, configured to configure a corresponding weight for each repair shop in the initial first repair shop, so as to determine a score for each repair shop in the initial first repair shop based on the corresponding weight configured for each repair shop in the initial first repair shop;

[0173] The sixth recommended repair data determining unit is configured to determine target recommended repair data based on the score of each repair shop in the initial first repair shops.

[0174] In an implementable manner, the plurality of process nodes include a sixth process node, the attribute matching data corresponding to the sixth process node includes at least one preset insurance policy, the initial recommended repair data corresponding to the sixth process node is a preset repair shop corresponding to each preset insurance policy, different insurance policies correspond to preset repair shops, the first attribute data includes a target insurance policy of the faulty vehicle, the target insurance policy matches at least one preset insurance policy, and the target process node is the sixth process node; the recommended repair data determination module includes:

[0175] a fifth repair shop determination unit, configured to match a target preset repair shop corresponding to the target insurance policy among the preset repair shops;

[0176] a seventh recommended repair data determining unit, configured to determine the target preset repair shop as the target recommended repair data if the number of the target preset repair shop is one;

[0177] The eighth recommended repair data determining unit is configured to determine, if there are multiple target preset repair shops, a repair shop whose corresponding preset insurance policy is a commercial insurance policy among the target preset repair shops as the target recommended repair data.

[0178] The device for determining recommended repair information provided in this embodiment can be used to execute the above-mentioned method for determining recommended repair information. Its implementation principle and technical effects are similar and will not be described in detail in this embodiment.

[0179] Figure 5 A block diagram of an electronic device is shown as an exemplary embodiment. Figure 5 The electronic device 500 may include: a processor 51 and a memory 52, wherein the processor 51 and the memory 52 can communicate; illustratively, the processor 51 and the memory 52 communicate via a communication bus 53, the memory 52 is used to store instructions, and the processor 51 is used to call the instructions in the memory to execute the method for determining the recommended repair information shown in any of the above method embodiments.

[0180] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the method disclosed in the present application may be directly implemented as being executed by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.

[0181] The present application provides a computer-readable storage medium, on which computer-executable instructions are stored; when the computer-executable instructions are executed by a processor, they are used to implement a method for determining recommended repair information as in any of the above embodiments.

[0182] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the above-mentioned method for determining recommended repair information is implemented.

[0183] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0184] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for determining recommended repair information, characterized in that: include: Acquire first attribute data and a recommended repair process of the faulty vehicle, wherein the recommended repair process includes a plurality of process nodes, each process node has an execution order, and different process nodes correspond to different initial recommended repair data and attribute matching data; Matching the first attribute data with the corresponding attribute matching data in each process node in the recommended repair process in sequence according to the execution order to determine the target process node corresponding to the successfully matched target attribute matching data; The target recommended repair data of the faulty vehicle is determined according to the initial recommended repair data corresponding to the target process node.

2. The method according to claim 1, characterized in that The multiple process nodes include a first process node, the initial recommended repair data corresponding to the first process node is empty, the attribute matching data corresponding to the first process node includes first attribute matching data, the first attribute data matches the first attribute matching data, and the target process node is the first process node; The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes: It is determined that the target recommended repair data is empty.

3. The method according to claim 1, characterized in that The multiple process nodes include a second process node, the initial recommended repair data corresponding to the second process node includes a first repair shop, the attribute matching data corresponding to the second process node includes second attribute matching data, the first attribute data matches the second attribute matching data, and the target process node is the second process node; The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes: Matching a repair shop with maintenance authority for the faulty vehicle among the first repair shops to determine a first target repair shop; The first target repair shop is determined as the target recommended repair data.

4. The method according to claim 1, characterized in that The multiple process nodes include a third process node, the initial recommended repair data corresponding to the third process node includes a second repair shop and a third repair shop, the attribute matching data corresponding to the third process node includes a first vehicle model, the first attribute data includes a faulty vehicle model of the faulty vehicle, the faulty vehicle model matches the first vehicle model, and the target process node is the third process node; The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes: Matching a repair shop with maintenance authority for the first vehicle model among the second repair shops to determine a second initial target repair shop; If the second initial target repair shop receives the insurance data of the faulty vehicle, determining the second initial target repair shop as the target recommended repair data; If the second initial target repair shop receives the insurance data of the faulty vehicle, a repair shop having maintenance authority for the first vehicle model is matched among the third repair shops to determine the target recommended repair data.

5. The method according to claim 1, characterized in that The multiple process nodes include a fourth process node, the initial recommended repair data corresponding to the fourth process node includes a fifth repair shop, the attribute matching data corresponding to the fourth process node includes at least one preset insurance policy institution, the attribute matching data corresponding to the fourth process node includes a target insurance policy institution corresponding to the insurance policy of the faulty vehicle, the target insurance policy institution matches the at least one preset insurance policy institution, and the target process node is the fourth process node; The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes: Matching the repair shop corresponding to the target insurance policy institution among the fifth repair shops to determine an initial first repair shop; A repair shop among the initial first repair shops having the repair authority for the faulty vehicle is determined as the target recommended repair data.

6. The method according to claim 1, characterized in that The multiple process nodes include a fifth process node, the initial recommended repair data corresponding to the fifth process node is a sixth repair shop, the attribute matching data corresponding to the fifth process node includes third attribute matching data, the first attribute data matches the third attribute matching data, and the target process node is the fifth process node; The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes: Matching the sixth repair shop with a repair shop that repairs the faulty vehicle within a preset time period, and / or matching the sixth repair shop with a repair shop that is within a preset distance range of the faulty vehicle to determine an initial first repair shop; configuring a corresponding weight for each repair shop in the initial first repair shop, so as to determine a score for each repair shop in the initial first repair shop based on the corresponding weight configured for each repair shop in the initial first repair shop; Based on the score of each repair shop in the initial first repair shop, target recommended repair data is determined.

7. The method according to claim 1, characterized in that The multiple process nodes include a sixth process node, the attribute matching data corresponding to the sixth process node includes at least one preset insurance policy, the initial recommended repair data corresponding to the sixth process node is a preset repair shop corresponding to each preset insurance policy, and different insurance policies correspond to preset repair shops, the first attribute data includes a target insurance policy for the faulty vehicle, the target insurance policy matches the at least one preset insurance policy, and the target process node is the sixth process node; The determining the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node includes: Matching a target preset repair shop corresponding to the target insurance policy among the preset repair shops; If the number of the target preset repair shop is one, determining the target preset repair shop as the target recommended repair data; If there are multiple target preset repair shops, the repair shops corresponding to the preset insurance policies of commercial insurance policies among the target preset repair shops are determined as the target recommended repair data.

8. A device for determining recommended repair information, characterized in that: include: A data acquisition module is used to acquire first attribute data of the faulty vehicle and a recommended repair process, wherein the recommended repair process includes a plurality of process nodes, each process node has an execution order, and different process nodes correspond to different initial recommended repair data and attribute matching data; A node determination module, used for matching the first attribute data with the corresponding attribute matching data in each process node in the recommended repair process in sequence according to the execution order, so as to determine the target process node corresponding to the successfully matched target attribute matching data; The recommended repair data determination module is used to determine the target recommended repair data of the faulty vehicle according to the initial recommended repair data corresponding to the target process node.

9. An electronic device, characterized in that: The electronic device comprises: a processor and a memory; the memory is used to store instructions; the processor is used to execute the instructions in the memory, so that the electronic device executes the method as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

11. A computer program product, characterized in that The method comprises a computer program, which implements the method according to any one of claims 1 to 7 when being executed by a processor.

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