CN112766820A

CN112766820A - Data processing method and device, server device and storage medium

Info

Publication number: CN112766820A
Application number: CN202110199747.4A
Authority: CN
Inventors: 林求; 路裕; 赵柏敏; 白玉华; 谢强
Original assignee: Beijing Didi Infinity Technology and Development Co Ltd
Current assignee: Beijing Didi Infinity Technology and Development Co Ltd
Priority date: 2021-02-22
Filing date: 2021-02-22
Publication date: 2021-05-07

Abstract

The embodiment of the application provides a data processing method and device, server equipment and a storage medium, and relates to the technical field of data processing. The data processing method is applied to server-side equipment, the server-side equipment is in communication connection with client-side equipment, the server-side equipment records state information of a plurality of stations, and the data processing method comprises the following steps: firstly, acquiring demand information of a vehicle to be maintained, which is sent by client equipment; and secondly, selecting a target station meeting a preset matching condition from the plurality of stations according to the state information and the demand information of the plurality of stations, and sending the position of the target station to the client equipment. By the method, stations can be recommended to the vehicle according to the vehicle maintenance requirements and the station states, and the problems that in the prior art, the busy and idle degrees of all stations of a shop are estimated by manually and regularly patrolling and examining, stations are recommended to the vehicle to be maintained directly according to the estimated busy and idle degrees, station resources are wasted, and the efficiency of data processing is low are solved.

Description

Data processing method and device, server device and storage medium

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a data processing method and apparatus, a server device, and a storage medium.

Background

In the prior art, a method for identifying busy and idle states of a maintenance store is mainly characterized in that all stations of the store are periodically inspected manually to estimate busy and idle degrees, and stations are directly recommended to a vehicle to be maintained according to the estimated busy and idle degrees, so that station resources are easily wasted, and the problem of low data processing efficiency exists.

Disclosure of Invention

In view of the above, an object of the present application is to provide a data processing method and apparatus, a server device and a storage medium, so as to solve the problems in the prior art.

In order to achieve the above purpose, the embodiment of the present application adopts the following technical solutions:

in a first aspect, the present application provides a data processing method, which is applied to a server device, where the server device is in communication connection with a client device, and the server device records state information of multiple stations, where the data processing method includes:

acquiring demand information of a vehicle to be maintained, which is sent by the client equipment;

and selecting a target station meeting a preset matching condition from the plurality of stations according to the state information and the demand information of the plurality of stations, and sending the position of the target station to the client equipment.

In an optional embodiment, the state information includes an idle state, the target workstation includes a target idle workstation in the idle state, and the step of selecting the target workstation meeting a preset matching condition from the plurality of workstations according to the state information of the plurality of workstations and the requirement information includes:

judging whether the state information of the stations has an idle state or not;

and if so, sequencing the idle station set according to the state information and the requirement information to obtain a target idle station meeting a preset matching condition, wherein the idle station set is obtained by selecting an idle station from the stations.

In an optional embodiment, the step of obtaining a target idle station meeting a preset matching condition by performing sorting processing on an idle station set according to the state information and the demand information includes:

calculating according to the position information of the vehicle to be maintained and the position information of the maintenance stores where the stations are located to obtain the distances from the vehicle to be maintained to the maintenance stores where the stations are located;

and sequencing the idle station set according to the distance from the vehicle to be maintained to a maintenance store where the stations are located, and taking the idle station with the minimum distance as a target idle station.

In an optional embodiment, the data processing method further includes:

acquiring service recommendation information of other stations in the idle station set;

and sending the service recommendation information of the other stations to the client equipment.

In an optional embodiment, the status information includes a repair status, the target workstations include a target repair workstation in a repair status, and the data processing method further includes:

when the state information of the stations does not have an idle state, sequencing a maintenance station set according to the state information and the requirement information to obtain a target maintenance station meeting a preset matching condition, wherein the maintenance station set is obtained by selecting a station in a maintenance state from the stations;

and carrying out time prediction processing on the target maintenance station to obtain the predicted end time of the target maintenance station, and sending the predicted end time of the target maintenance station to the client equipment.

In a second aspect, the present application provides a data processing apparatus, which is applied to a server device, where the server device is in communication connection with a client device, and the server device records state information of a plurality of stations, where the data processing apparatus includes:

the information acquisition module is used for acquiring the demand information of the vehicle to be maintained, which is sent by the client equipment;

and the station selection module is used for selecting a target station meeting a preset matching condition from the stations according to the state information and the demand information of the stations and sending the position of the target station to the client equipment.

In a third aspect, the present application provides a data processing system, including a server device and a client device that are in communication connection, where the client device sends demand information of a vehicle to be repaired to the server device;

the server side equipment records state information of a plurality of stations, selects a target station meeting a preset matching condition from the stations according to the state information of the stations and the requirement information, and sends the position of the target station to the client side equipment.

In a fourth aspect, the present application provides a server device, which includes a memory and a processor, where the processor is configured to execute an executable computer program stored in the memory to implement the data processing method described in any one of the foregoing embodiments.

In a fifth aspect, the present application provides a storage medium having a computer program stored thereon, the program, when executed, implementing the steps of the data processing method of any one of the preceding embodiments.

In a sixth aspect, the present application provides a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the method of any one of the preceding embodiments.

According to the data processing method and device, the server side equipment and the storage medium, the target station meeting the preset matching conditions is selected from the multiple stations according to the recorded state information of the multiple stations and the demand information of the vehicle to be maintained, the position of the target station is sent to the client side equipment, the station is recommended to the vehicle according to the vehicle maintenance demand and the station state, the problem that in the prior art, the busy and idle degrees of all stations of an office shop are estimated by manually polling at regular time, the station is recommended to the vehicle to be maintained directly according to the estimated busy and idle degrees, station resources are wasted, and the efficiency of data processing is low is solved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a block diagram of a data processing system according to an embodiment of the present disclosure.

Fig. 2 is a block diagram of a server device according to an embodiment of the present disclosure.

Fig. 3 is a schematic flowchart of a data processing method according to an embodiment of the present application.

Fig. 4 is another block diagram of a data processing system according to an embodiment of the present application.

Fig. 5 is another schematic flow chart of the data processing method according to the embodiment of the present application.

Fig. 6 is another schematic flow chart of the data processing method according to the embodiment of the present application.

Fig. 7 is a scene schematic diagram of a data processing method according to an embodiment of the present application.

Fig. 8 is another schematic flow chart of a data processing method according to an embodiment of the present application.

Fig. 9 is another schematic flow chart of a data processing method according to an embodiment of the present application.

Fig. 10 is another schematic flow chart of a data processing method according to an embodiment of the present application.

Fig. 11 is another schematic flow chart of a data processing method according to an embodiment of the present application.

Fig. 12 is another schematic flow chart of a data processing method according to an embodiment of the present application.

Fig. 13 is another schematic flow chart of a data processing method according to an embodiment of the present application.

Fig. 14 is a block diagram of a data processing apparatus according to an embodiment of the present application.

Icon: 10-a data processing system; 100-a server device; 110-a network port; 120-a first processor; 130-a communication bus; 140-a first memory; 150-interface; 200-a client device; 1400-a data processing apparatus; 1410-an information acquisition module; 1420-station selection module.

Detailed Description

In order to improve at least one of the above technical problems proposed by the present application, embodiments of the present application provide a data processing method and apparatus, a server device, and a storage medium, and the following describes technical solutions of the present application through possible implementation manners.

The defects of the above solutions are the results of the inventor after practice and careful study, and therefore, the discovery process of the above problems and the solution proposed by the present application to the above problems should be the contribution of the inventor to the present application in the process of the present application.

For purposes of making the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.

In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

In order to enable a person skilled in the art to make use of the present disclosure, the following embodiments are given. It will be apparent to those skilled in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the application. Applications of the system or method of the present application may include web pages, plug-ins for browsers, client terminals, customization systems, internal analysis systems, or artificial intelligence robots, among others, or any combination thereof.

It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

FIG. 1 is a block diagram of a data processing system 10 that provides one possible implementation of data processing system 10, according to an embodiment of the present disclosure, where data processing system 10 may be an online transportation service platform for transportation services such as taxi, designated driving service, express, carpool, bus service, driver rental, or regular bus service, or any combination thereof. Referring to FIG. 1, the data processing system 10 may include a server device 100 and a client device 200 communicatively coupled.

The client device 200 sends the demand information of the vehicle to be maintained to the server device 100, the server device 100 selects a target station meeting preset matching conditions from the multiple stations according to the demand information and the state information of the multiple stations, and sends the position of the target station to the client device 200, so that the client device 200 guides the vehicle to be maintained to the target station for maintenance.

It should be noted that, the workstations mentioned in the embodiments of the present application are workstations in a physical store that provides vehicle maintenance service, and the status information may represent relevant information of the status of the workstations, and may include, but is not limited to, information of an idle status or a busy status, location information of a maintenance store where the workstations are located, and the like. The demand information may represent information related to the demand of the vehicle to be serviced, and may include, but is not limited to, information about a service item, a service time, and a location of the vehicle to be serviced.

Fig. 2 illustrates a schematic diagram of exemplary hardware and software components of a server device 100 that may implement the concepts of the present application, according to some embodiments of the present application. The server device 100 may include a network port 110 connected to a network, one or more first processors 120 for executing program instructions, a communication bus 130, and a first memory 140 of a different form, such as a disk, ROM, or RAM, or any combination thereof. Illustratively, the server device 100 may also include program instructions stored in ROM, RAM, or other types of non-transitory storage media, or any combination thereof. The method of the present application may be implemented in accordance with these program instructions. The server device 100 may further include an Input/Output (I/O) interface 150 with other Input/Output devices (e.g., keyboard, display screen).

In some embodiments, the first processor 120 may process information and/or data related to data processing to perform one or more functions described herein. In some embodiments, the first processor 120 may include one or more processing cores (e.g., a single-core processor (S) or a multi-core processor (S)). Merely by way of example, the first Processor 120 may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a Reduced Instruction Set computer (Reduced Instruction Set Computing, RISC), a microprocessor, or the like, or any combination thereof.

The first processor 120 in the server device 100 may be a general-purpose computer or a computer of set purpose, both of which may be used to implement the data processing method of the present application. Although only a single computer is shown, for convenience, the functions described herein may be implemented in a distributed fashion across multiple similar platforms to balance processing loads.

For ease of illustration, only one processor is depicted in the server device 100. However, it should be noted that the server device 100 in the present application may also include multiple processors, and thus, the steps performed by one processor described in the present application may also be performed by multiple processors in combination or individually. For example, if the processor of the server device 100 executes step a and step B, it should be understood that step a and step B may also be executed by two different processors together or executed in one processor separately. For example, a first processor performs step A and a second processor performs step B, or both a first processor and a second processor perform steps A and B.

The network may be used for the exchange of information and/or data. In some embodiments, one or more components in the server device 100 may send information and/or data to other components. For example, the server device 100 may acquire the signal via a network. Merely by way of example, the Network may include a Wireless Network, a telecommunications Network, an intranet, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a bluetooth Network, a ZigBee Network, or a Near Field Communication (NFC) Network, among others, or any combination thereof.

In some embodiments, the network may include one or more network access points. For example, the network may include wired or wireless network access points, such as base stations and/or network switching nodes, through which one or more components of server device 100 may connect to the network to exchange data and/or information.

Fig. 3 shows one of flowcharts of a data processing method provided in an embodiment of the present application, where the method is applicable to the server device 100 shown in fig. 1 and is executed by the server device 100 in fig. 1, and the server device 100 records state information of a plurality of workstations. It should be understood that, in other embodiments, the order of some steps in the data processing method of this embodiment may be interchanged according to actual needs, or some steps may be omitted or deleted. The flow of the data processing method shown in fig. 3 is described in detail below.

In step S310, the requirement information of the vehicle to be repaired sent by the client device 200 is acquired.

Step S320, selecting a target workstation meeting a preset matching condition from the plurality of workstations according to the state information and the requirement information of the plurality of workstations, and sending the position of the target workstation to the client device 200.

According to the method, the target station meeting the preset matching condition is selected from the multiple stations according to the recorded state information of the multiple stations and the demand information of the vehicle to be maintained, and the position of the target station is sent to the client device, so that the station is recommended to the vehicle according to the vehicle maintenance demand and the station state, and the problems that in the prior art, the busy and idle degrees of all stations of a shop are estimated by manual regular inspection, the station is directly recommended to the vehicle to be maintained according to the estimated busy and idle degrees, the station resources are wasted, and the data processing efficiency is low are solved.

For the state information, it should be noted that the specific manner of acquiring the state information is not limited, and may be set according to the actual application requirements. For example, in an alternative example, the data processing system 10 provided in the embodiment of the present application may include a server device 100, a client device 200, and a data acquisition device, where the server device 100 may have a structure shown in fig. 2, the client device 200 is used to acquire requirement information of a vehicle to be repaired, the data acquisition device is used to acquire status information of a work station, and the server device 100, the client device 200, and the data acquisition device may be connected through a wireless network or a mobile communication network. That is to say, the data acquisition device may be arranged in each maintenance store to acquire images of all stations of the maintenance store, perform image recognition on the acquired images to obtain state information of the stations, and transmit the state information of the stations to the server device 100 for storage. With reference to fig. 4, the maintenance shop 1 is provided with a data acquisition device-1, which can acquire images of the stations 1-a, 1-B, 1-C, 1-D, 1-E and 1-F for image recognition to obtain status information of the stations; the maintenance shop 2 is provided with data acquisition equipment-2 which can acquire images of the stations 2-A, 2-B, 2-C, 2-D, 2-E and 2-F for image recognition to obtain state information of the stations; the maintenance store 3 is provided with a data acquisition device-3 which can acquire images of the stations 3-A, 3-B, 3-C, 3-D, 3-E and 3-F for image recognition to obtain state information of the stations.

It is understood that the data collection device and the server device 100 may be different devices or the same device. That is, when the data acquisition device and the server device 100 are the same device, the server device 100 may acquire an image of a workstation, and perform image recognition on the acquired image to obtain status information of the workstation. The data acquisition equipment can be specifically set as a camera.

For another example, in another alternative example, the server device 100 may obtain the status information of the workstations through other devices, the user may input the status information of all the workstations on the other devices, and the other devices forward the status information to the server device 100.

For step S310, it should be noted that the specific type of the client device 200 is not limited, and may be set according to the actual application requirement. For example, in an alternative example, the client device 200 may be an on-board device on a vehicle to be repaired, and the user reports the requirement information through the on-board device.

For another example, in another alternative example, the client device 200 may be a handheld device such as a mobile phone of the user, and the user may input the requirement information through the handheld device, and the handheld device sends the requirement information to the server device 100.

For step S320, it should be noted that the specific manner of selecting the target station is not limited, and may be set according to the actual application requirement. For example, in an alternative example, the status information includes an idle status, the target workstation includes a target idle workstation in the idle status, and step S320 may include the step of determining whether the workstation has an idle status. Therefore, on the basis of fig. 3, fig. 5 is a schematic flowchart of another data processing method provided in the embodiment of the present application, and referring to fig. 5, step S320 may include:

step S321, determining whether the state information of the plurality of workstations has an idle state.

In this embodiment of the application, when the state information of the plurality of workstations has an idle state, it is determined that the workstations have the idle state, and step S322 is executed; and when the state information of the plurality of workstations does not have an idle state, judging that all workstations are in a busy state.

And step S322, sequencing the idle station set according to the state information and the demand information to obtain a target idle station meeting the preset matching condition.

The idle station set is obtained by selecting stations in an idle state from a plurality of stations.

For step S321, it should be noted that the specific manner for determining whether the idle state exists is not limited, and the idle state may be set according to the actual application requirement. For example, in an alternative example, the server-side device 100 may detect the status information of all the workstations in real time to determine whether an idle status exists.

For another example, in another alternative example, the server device 100 may detect the state information of the workstation multiple times within a certain period, and determine that the workstation is in the idle state if the state information of the workstation detected multiple times within the period is all in the idle state. For example, the state information of the station can be detected every 10 seconds within 1 minute, and if the stations are detected to be in the idle state, the station can be considered to be in the idle state, so that the misjudgment of the state information of the station is avoided, and the detection reliability is improved.

For step S322, it should be noted that the specific manner of performing the sorting process is not limited, and may be set according to the actual application requirement. For example, in an alternative example, when the set of idle workstations includes only one idle slot, one idle workstation can be directly used as the target idle workstation.

For another example, in another alternative example, the requirement information includes position information of the vehicle to be repaired, the status information includes position information of a repair shop where the workstation is located, and the step S322 may include a step of performing the sorting process according to a distance from the vehicle to be repaired to the repair shop where the workstation is located. Therefore, on the basis of fig. 5, fig. 6 is a schematic flowchart of another data processing method provided in the embodiment of the present application, and referring to fig. 6, step S322 may include:

step S3221, calculating according to the position information of the vehicle to be maintained and the position information of the maintenance stores where the plurality of workstations are located, to obtain the distances from the vehicle to be maintained to the maintenance stores where the plurality of workstations are located.

Step S3222, sorting the idle work station set according to the distance from the vehicle to be maintained to a maintenance store where the work stations are located, and taking the idle work station with the minimum distance as a target idle work station.

When the distances from the vehicle to be maintained to the maintenance stores where the stations are located are calculated, the linear distance from the vehicle to be maintained to the maintenance stores may be calculated, or the passing distance from the vehicle to be maintained to the maintenance stores in the actual roads may be calculated, where the passing distance may be obtained by sequentially connecting the total distances from the vehicle to be maintained to the roads of the maintenance stores in the actual map, and the roads with small traffic flow and no traffic jam may be selected for connection according to the traffic jam condition of the roads in the actual map. After the distances from the vehicle to be maintained to the maintenance stores where the stations are located are obtained, if the number of the idle stations away from the minimum maintenance store is more than one, the idle station in any maintenance store with the minimum distance can be used as a target idle station, that is, the vehicle to be maintained can be maintained to any idle station in the maintenance store with the minimum distance; and the distance from the vehicle to be repaired to each idle station in the store with the minimum distance can be calculated, and the station with the minimum distance is taken as a target idle station.

With reference to fig. 7, the vehicle to be maintained may be a vehicle a, the idle stations may include stations 1-F of the maintenance store 1, stations 2-D and 2-E of the maintenance store 2, and stations 3-B, 3-D and 3-E of the maintenance store 3, and with reference to fig. 4, the state information of the stations may be obtained by the data acquisition device in the form of the data processing system 10 provided in fig. 4, and then pushed to the server device 100, and the server device 100 filters the state information of the stations to obtain the idle stations. Then, the distance from the vehicle A to the maintenance store 1 where the stations 1-F are located is 10 kilometers, the distance from the vehicle A to the maintenance stores 2 where the stations 2-D and 2-E are located is 6 kilometers, the distance from the vehicle A to the maintenance stores 3 where the stations 3-B, 3-D and 3-E are located is 13 kilometers, and the maintenance store with the smallest distance is the maintenance store 2. The station 2-D and the station 2-E of the maintenance shop 2 can be used as target idle stations, and the vehicle A can go to any one of the station 2-D and the station 2-E for maintenance; the distance from the vehicle A to the stations 2-D is calculated to be 6.2 kilometers, the distance from the vehicle A to the stations 2-E is calculated to be 6.1 kilometers, the station with the minimum distance is the station 2-E, and the station 2-E can be used as a target idle station.

Further, after step S322, the data processing method provided in this embodiment of the present application may further include a step of recommending other workstations in the idle workstation set according to the service recommendation information. Therefore, on the basis of fig. 5, fig. 8 is a schematic flowchart of another data processing method provided in the embodiment of the present application, referring to fig. 8, step S320 may further include:

and step S323, acquiring service recommendation information of other stations in the idle station set.

In step S324, the service recommendation information of the other workstations is sent to the client device 200.

Optionally, the specific type of the service recommendation information is not limited, and may be set according to the actual application requirement. For example, the service recommendation information may include, but is not limited to, red envelope, coupons, etc. for attracting a driver of the vehicle to be serviced to a station where the service recommendation information is provided for servicing. It should be noted that, when a target idle station is selected from the idle station set, there may be a situation that after the sequencing processing is performed for multiple times, some idle stations are sequenced all the way forward and always used as target idle stations to attract the vehicle to be maintained to go to maintenance, and other idle stations are sequenced all the way backward and cannot be used as target idle stations to attract the vehicle to be maintained to go to maintenance, so as to avoid resource waste and improve the efficiency of station scheduling, service recommendation information may be set for idle stations sequenced all the way backward to attract drivers of the vehicle to be maintained.

For example, the idle station set may include an idle station 1, an idle station 2, and an idle station 3, after the first sorting process, the idle station 1, the idle station 2, and the idle station 3 are arranged in sequence, and the idle station 1 is used as a target idle station; after the second sorting treatment, sequentially arranging an idle station 2, an idle station 1 and an idle station 3, and taking the idle station 2 as a target idle station; after the third sorting processing, the idle station 1, the idle station 2 and the idle station 3 are arranged in sequence, and the idle station 1 is used as a target idle station. It can be understood that in the three sorting processes, the sorting of the idle work stations 3 is the last, the idle work stations 3 are left empty for three times, and at the moment, the idle work stations 3 can be provided with red packages or coupons to attract drivers to maintain.

Optionally, the setting mode of the service recommendation information is not limited, and the setting can be performed according to the actual application requirements. For example, in an alternative example, the manual setting may be performed by an operator in the background of the server device 100.

For another example, in another alternative example, the server device 100 may automatically set a corresponding red packet or coupon according to an idle duration of the idle workstation (a duration representing that the idle workstation is not a target idle workstation), where the longer the idle duration, the larger the red packet amount, and the higher the discount of the coupon.

It should be noted that, after step S321, when the state information of the multiple workstations does not have an idle state, it is determined that all workstations are in a busy state, the state information includes a maintenance state, and the target workstations include target maintenance workstations in a maintenance state. Therefore, on the basis of fig. 5, fig. 9 is a schematic flowchart of another data processing method provided in the embodiment of the present application, and referring to fig. 9, the data processing method may further include:

and step S325, sequencing the maintenance station set according to the state information and the demand information to obtain a target maintenance station meeting the preset matching condition.

The maintenance station set is obtained by selecting stations in a maintenance state from a plurality of stations.

Step S326, performs time prediction processing on the target maintenance station to obtain the predicted end time of the target maintenance station, and sends the predicted end time of the target maintenance station to the client device 200.

For step S325, it should be noted that the specific manner of performing the sorting process is not limited, and may be set according to the actual application requirement. For example, in an alternative example, the requirement information includes position information of the vehicle to be repaired, the status information includes position information of a repair shop where the work station is located, and the step S325 may include a step of performing sorting processing according to the waiting time period. Therefore, on the basis of fig. 9, fig. 10 is a schematic flowchart of another data processing method provided in the embodiment of the present application, and referring to fig. 10, step S325 may include:

step S3251, calculating according to the position information of the vehicle to be maintained and the position information of the maintenance stores where the stations are located, and obtaining the distance from the vehicle to be maintained to the maintenance stores where the stations are located.

Step S3252, calculating the waiting time of the vehicle to be maintained to the maintenance stores of the plurality of work stations according to the distance between the vehicle to be maintained and the maintenance stores of the plurality of work stations.

And S3253, sorting the maintenance station set according to the waiting time of the vehicle to be maintained to a maintenance store where a plurality of stations are located, and taking the maintenance station with the shortest waiting time as a target maintenance station.

It should be noted that, when the waiting time from the vehicle to be maintained to the maintenance store where the multiple stations are located is calculated, the waiting time may be calculated according to the distance from the vehicle to be maintained to the maintenance store and a fixed average speed, or may be calculated according to the number of roads from the vehicle to be maintained to the maintenance store and the highest speed limit on each road. After the waiting time of the vehicle to be maintained to the maintenance shop where the stations are located is obtained, if the number of the maintenance stations of the maintenance shop with the shortest waiting time is more than one, the maintenance station in any maintenance shop with the shortest waiting time can be used as the target maintenance station, that is, the vehicle to be maintained can wait for maintenance to any maintenance station in the maintenance shop with the shortest waiting time; and calculating the waiting time of the vehicle to be maintained to each maintenance station in the store with the shortest waiting time, and taking the station with the shortest waiting time as a target maintenance station.

Further, it should be noted that, in some special cases, for example, the workstations in the current idle state are damaged and cannot be repaired, or in order to improve the operating efficiency of the workstations in the current repair state, even if there are workstations in the idle state, the target repair workstation can be selected from the workstations in the current repair state. With reference to fig. 7, stations 1-a, 1-B, 1-C, 1-D, and 1-E of the service shop 1 and stations 2-a, 2-B, 2-C, and 2-F of the service shop 2 may be selected as a service station set, the vehicle to be serviced may be the vehicle a, the average speed may be 50 km/h, the waiting time from the vehicle a to the service shop 1 is 0.2 h calculated according to the distance 10 km and the average speed from the vehicle a to the service shop 1 where the stations 1-a, 1-B, 1-C, 1-D, and 1-E are located, the waiting time from the vehicle a to the service shop 1 is 0.2 h calculated according to the distance 12 km and the average speed from the vehicle a to the service shop 2 where the stations 2-a, 2-B, 2-C, and 2-F are located, the maintenance shop with the shortest waiting time is the maintenance shop 1. Stations 1-A, 1-B, 1-C, 1-D and 1-E of the maintenance store 1 can be used as target maintenance stations, and the vehicle A can go to any one of the stations 1-A, 1-B, 1-C, 1-D and 1-E to wait for maintenance; and the waiting time of the vehicle A to the stations 1-A, 1-B, 1-C, 1-D and 1-E can be respectively calculated, and the station with the shortest waiting time can be used as a target maintenance station.

In step S326, it should be noted that the step of performing the time prediction process is not limited, and may be set according to the actual application requirement. For example, in an alternative example, step S326 may include the step of making a prediction based on a repair order. Therefore, on the basis of fig. 9, fig. 11 is a schematic flowchart of another data processing method provided in the embodiment of the present application, and referring to fig. 11, step S326 may include:

and step S3261, obtaining a maintenance work order of the target maintenance station.

Wherein the repair order includes a repair item and a repair start time.

And step S3262, predicting the target maintenance station according to the maintenance items and the maintenance starting time to obtain the predicted ending time of the target maintenance station.

In detail, the same maintenance items generally have the same maintenance time, the corresponding maintenance time can be obtained after the maintenance items are obtained, and the predicted end time can be obtained by adding the maintenance time and the maintenance start time. For example, in an alternative example, the service item of the target service station may be a car wash item, the service time of the car wash item is generally 30 minutes, the service start time may be 9 o 'clock and 30 minutes, and the predicted end time may be 10 o' clock.

It should be noted that, when the demand information is not received, the server device 100 records a historical maintenance record of the vehicle to be maintained, where the historical maintenance record includes historical maintenance items and historical maintenance time, and the data processing method provided in the embodiment of the present application may further include a step of predicting the demand information. Therefore, on the basis of fig. 3, fig. 12 is a schematic flowchart of another data processing method provided in the embodiment of the present application, and referring to fig. 12, the data processing method may further include:

and step S330, predicting the vehicle to be maintained according to the historical maintenance items and the historical maintenance time to obtain the predicted demand information of the vehicle to be maintained.

Step S340, the position of the workstation in the idle state is sent to the client device 200 based on the predicted demand information.

In detail, the maintenance requirement of the vehicle to be maintained has a certain periodicity, and the second maintenance service is performed a certain time after the first maintenance service is performed, so that the time of the next maintenance can be estimated according to the items and time of the last maintenance. For example, the vehicle to be maintained may be the vehicle C, the vehicle C generally performs maintenance service once a year to a maintenance store, that is, the historical maintenance item may be the maintenance service, when the historical maintenance time is 2020, 10, month and 11 days, it may be predicted that the vehicle C will arrive at the store for maintenance in 2021, 10, month and 11 days, and the idle work station in 2021, 10, month and 11 days may be recommended to the vehicle C.

Further, after step S320, the data processing method provided in the embodiment of the present application may further include a step of updating the state information of the target workstation according to the feedback information. Therefore, on the basis of fig. 3, fig. 13 is a schematic flowchart of another data processing method provided in the embodiment of the present application, and referring to fig. 13, the data processing method may further include:

step S350, obtaining feedback information of the client device 200 to the target workstation.

And step S360, updating the state information of the target station according to the feedback information.

It should be noted that after the position of the target station is sent to the client device 200, the vehicle to be maintained may reach the target station for maintenance according to guidance of the client device 200, and a situation that the state information of the target station received by the client device 200 is inconsistent with the state information of the vehicle to be maintained when the vehicle to be maintained actually reaches the target station may occur, for example, the state information of the target station received by the client device 200 is an idle state, and the actual state of the vehicle to be maintained when the vehicle to be maintained reaches the target station is a maintenance state, and at this time, a driver of the vehicle to be maintained may report the actual state information of the target station through the client device 200 for feedback, so as to improve reliability of scheduling and avoid waste of resources. Further, the server device 100 may reselect a new target workstation according to the requirement information of the vehicle to be repaired and the status information of the plurality of workstations, and send the position of the new target workstation to the client device 200.

One of the reasons for the above situations may be that target stations of a plurality of vehicles to be maintained are the same station, the server device 100 simultaneously sends the positions of the target stations to the client devices 200 corresponding to the plurality of vehicles to be maintained, when the vehicle to be maintained reaches the target station, the previous vehicle to be maintained has reached the target station and starts to be maintained, and the state of the target station changes from the idle state to the maintenance state. Therefore, in order to avoid the above problem, the server device 100 may count the corresponding relationship between the target station and the vehicle to be serviced, and when the target stations corresponding to a plurality of vehicles to be serviced are the same station, may send only the position of the target station to the client device 200 corresponding to one vehicle to be serviced.

With reference to fig. 7, in an alternative example, the vehicle to be repaired may include a vehicle a and a vehicle B, where target stations corresponding to the vehicle a and the vehicle B are stations 2-E of the repair shop 2, the distance from the vehicle a to the stations 2-E is 6.1 km calculated according to the position information of the vehicle a and the stations 2-E, the distance from the vehicle B to the stations 2-E is 7.1 km calculated according to the position information of the vehicle B and the stations 2-E, and the distance from the vehicle a to the stations 2-E is closer, so as to avoid waste of resources, the positions of the stations 2-E may be sent to the client device 200 corresponding to the vehicle a closer to the station 2-E.

Further, in another alternative example, the target stations corresponding to the vehicles D and E are station a, the positions of the station a can be simultaneously sent to the client devices 200 corresponding to the vehicles D and E, the drivers of the vehicles D and E can make an appointment or confirm processing on the station a through the client devices 200, and the service-side device 100 can assign the station a to the vehicle to be repaired which is reserved in advance.

With reference to fig. 14, an embodiment of the present application further provides a data processing apparatus 1400, where the functions implemented by the data processing apparatus 1400 correspond to the steps executed by the foregoing method. The data processing apparatus 1400 may be understood as a processor of the server device 100, or may be understood as a component that is independent from the server device 100 or the processor and implements the functions of the present application under the control of the server device 100. Data processing apparatus 1400 may include, among other things, an information acquisition module 1410 and a workstation selection module 1420.

The information obtaining module 1410 is configured to obtain the requirement information of the vehicle to be repaired, which is sent by the client device 200. In this embodiment of the application, the information obtaining module 1410 may be configured to perform step S310 shown in fig. 3, and for related content of the information obtaining module 1410, reference may be made to the foregoing description of step S310.

And the station selecting module 1420 is configured to select a target station meeting a preset matching condition from the multiple stations according to the state information and the requirement information of the multiple stations, and send the position of the target station to the client device 200. In the embodiment of the present application, the workstation selection module 1420 may be configured to perform step S320 shown in fig. 3, and reference may be made to the description of step S320 regarding the workstation selection module 1420.

In addition, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program performs the steps of the data processing method. In particular, the storage medium can be a general-purpose storage medium, such as a removable disk, a hard disk, etc., and the computer program on the storage medium can be executed to perform the method of any of the above embodiments when executed.

Embodiments of the present application also provide a computer program product, which includes a computer program/instruction, and when executed by a processor, the computer program/instruction implements the steps of the method of any of the above embodiments.

To sum up, according to the data processing method and device, the server device and the storage medium provided by the embodiment of the application, the target station meeting the preset matching condition is selected from the multiple stations according to the recorded state information of the multiple stations and the demand information of the vehicle to be maintained, and the position of the target station is sent to the client device, so that the station is recommended to the vehicle according to the vehicle maintenance demand and the station state, the problem that in the prior art, the busy degree of all stations of an office shop is estimated by manually polling at regular time, the station is recommended to the vehicle to be maintained directly according to the estimated busy degree, the station resources are wasted, and the efficiency of data processing is low is solved.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

The embodiment of the application discloses a TS1 data processing method, which is applied to server-side equipment, wherein the server-side equipment is in communication connection with client-side equipment, the server-side equipment records state information of a plurality of stations, and the data processing method comprises the following steps:

and selecting a target station meeting a preset matching condition from the plurality of stations according to the state information and the demand information of the plurality of stations, and sending the position of the target station to client equipment.

Ts2. the data processing method according to TS1, wherein the status information includes an idle status, the target workstation includes a target idle workstation in an idle status, and the step of selecting a target workstation meeting a preset matching condition from the plurality of workstations according to the status information of the plurality of workstations and the requirement information includes:

judging whether the state information of the stations has an idle state or not;

The ts3. the data processing method according to TS2, where the demand information includes location information of the vehicle to be serviced, the state information includes location information of a service shop where the workstation is located, and the step of performing sorting processing on the idle workstation set according to the state information and the demand information to obtain a target idle workstation meeting a preset matching condition includes:

Ts4. the data processing method of TS2, further comprising:

Ts5. the data processing method of TS2, the status information including a repair status, the target workstation including a target repair workstation in a repair status, the data processing method further comprising:

Ts6. as in TS5, the step of performing time prediction processing on the target repair station to obtain the predicted end time of the target repair station includes:

acquiring a maintenance work order of the target maintenance station, wherein the maintenance work order comprises maintenance items and maintenance starting time;

and predicting the target maintenance station according to the maintenance items and the maintenance starting time to obtain the predicted ending time of the target maintenance station.

The ts7, as set forth in TS5, the data processing method includes the step of obtaining the target maintenance station meeting the preset matching condition by sorting the maintenance station set according to the state information and the demand information, where the demand information includes the position information of the vehicle to be maintained, and the state information includes the position information of the maintenance store where the station is located, and the step of:

calculating the waiting time from the vehicle to be maintained to the maintenance stores where the stations are located according to the distance from the vehicle to be maintained to the maintenance stores where the stations are located;

and sequencing the maintenance station set according to the waiting time of the vehicle to be maintained to a maintenance store where the stations are located, and taking the maintenance station with the shortest waiting time as a target maintenance station.

Ts8, the data processing method as in TS1, wherein the service-side device records a historical repair record of the vehicle to be repaired, the historical repair record includes historical repair items and historical repair time, and the data processing method further includes:

predicting the vehicle to be maintained according to the historical maintenance items and the historical maintenance time to obtain the predicted demand information of the vehicle to be maintained;

and sending the position of the station in the idle state to the client equipment based on the predicted demand information.

Ts9. the data processing method of TS1, further comprising:

acquiring feedback information of the client equipment to the target station;

and updating the state information of the target station according to the feedback information.

The ts10 is a data processing apparatus applied to a server device, where the server device is in communication connection with a client device, and the server device records state information of a plurality of stations, and the data processing apparatus includes:

and the station selection module is used for selecting a target station meeting a preset matching condition from the stations according to the state information and the demand information of the stations and sending the position of the target station to client equipment.

The TS11. the data processing system comprises a server device and a client device which are in communication connection, wherein the client device sends the demand information of a vehicle to be maintained to the server device;

Ts12. a server device comprising a memory and a processor for executing an executable computer program stored in the memory for implementing the data processing method of any one of TS 1-9.

Ts13. a storage medium having stored thereon a computer program which, when executed, carries out the steps of the data processing method of any one of TS 1-9.

Ts14. a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the method of any one of the TS 1-9.

Claims

1. A data processing method is applied to server-side equipment, the server-side equipment is in communication connection with client-side equipment, the server-side equipment records state information of a plurality of stations, and the data processing method comprises the following steps:

2. The data processing method of claim 1, wherein the status information includes an idle status, the target workstation includes a target idle workstation in the idle status, and the step of selecting the target workstation meeting a preset matching condition from the plurality of workstations according to the status information of the plurality of workstations and the requirement information comprises:

judging whether the state information of the stations has an idle state or not;

3. The data processing method of claim 2, wherein the demand information includes position information of the vehicle to be maintained, the state information includes position information of a maintenance store where the workstation is located, and the step of performing sorting processing on the idle workstation set according to the state information and the demand information to obtain a target idle workstation meeting a preset matching condition includes:

4. The data processing method of claim 2, wherein the data processing method further comprises:

5. The data processing method of claim 2, wherein the status information includes a repair status, the target workstation includes a target repair workstation in a repair status, the data processing method further comprising:

6. A data processing device is applied to server-side equipment, the server-side equipment is in communication connection with client-side equipment, the server-side equipment records state information of a plurality of stations, and the data processing device comprises:

7. The data processing system is characterized by comprising a server device and a client device which are in communication connection, wherein the client device sends the requirement information of a vehicle to be maintained to the server device;

8. A server device comprising a memory and a processor, the processor being configured to execute an executable computer program stored in the memory to implement the data processing method of any one of claims 1 to 5.

9. A storage medium, characterized in that a computer program is stored thereon, which when executed performs the steps of the data processing method of any one of claims 1-5.

10. A computer program product comprising computer programs/instructions which, when executed by a processor, carry out the steps of the method according to any one of claims 1 to 5.