CN111126739A

CN111126739A - Shared automobile service work order scheduling management method, server, system and storage medium

Info

Publication number: CN111126739A
Application number: CN201910575545.8A
Authority: CN
Inventors: 叶舟; 周人杰; 刘涛; 李敏; 孟格思
Original assignee: Beijing Didi Infinity Technology and Development Co Ltd
Current assignee: Beijing Didi Infinity Technology and Development Co Ltd
Priority date: 2019-06-28
Filing date: 2019-06-28
Publication date: 2020-05-08
Anticipated expiration: 2039-06-28
Also published as: CN111126739B

Abstract

The invention discloses a shared automobile service work order scheduling management method, a server, a system and a storage medium. The scheduling method comprises the following steps: acquiring a work order as a work order to be calculated, and performing completion on the work order to be calculated with fields needing to be completed according to supply and demand prediction of a station; and calculating the work order price and the estimated time length of the work order to be calculated to obtain a pricing work order, and displaying the pricing work order to a salesman terminal. According to the invention, the shared automobile service work order dispatching server completes and calculates the work order, and the shared automobile service work order management server displays the work order to the operator terminal, so that a self-service dispatcher and a crowdsourcing dispatcher can execute the work order in an order-grabbing mode, and not only can the flexibility of the work order executed by the dispatcher be ensured, but also the completion rate of the work order can be ensured.

Description

Shared automobile service work order scheduling management method, server, system and storage medium

Technical Field

The invention relates to the technical field of vehicle correlation, in particular to a shared automobile service work order scheduling management method, a server, a system and a storage medium.

Background

Shared car has brought very big facility for the user since birth, compares special express bus cheaper, compares public transit bicycle more swiftly, what gradually was used by the user. With the advent of the Internet plus economy, numerous new industries and new business models are emerging, online and offline can be further combined, and new values are continuously created. The urban traffic form is not optimistic in time, the utilization rate of private cars is extremely low, the use time periods are too overlapped, and the urban traffic jam is caused to a great extent. Except for the peak on duty and off duty, the utilization rate of the vehicle is very low in other time periods. Compared with a household automobile, the shared automobile has higher use frequency, and the automobile is rarely left idle for a long time. The automobile is recycled, so that the travel which needs to be finished by a plurality of automobiles originally can be finished by only one shared automobile. The shared automobile not only reduces the living cost of users, but also reduces the road use pressure.

However, the daily vehicle demand of the shared vehicle users is wave valley-shaped, and is divided into early peak, late peak, flat peak and night, and meanwhile, holidays and weekends also serve as peak demand periods of the users, if only fixed self-service dispatchers are adopted, more fixed cost needs to be paid every day, the user demand in the peak period cannot be effectively met, and the human efficiency is difficult to maximize. The crowdsourcing mode can realize peak clipping and valley filling, and the third party manpower is utilized to supplement and schedule capacity during the peak period, so that the pressure that the demand of a user cannot be met in the peak period and a key area is relieved. In the crowdsourcing mode, part of the part-time dispatchers pay according to the actual paying bill without paying fixed cost, so that the labor cost can be effectively reduced.

However, the inventor finds that the conventional scheduling system cannot realize scheduling under the condition that a self-service scheduler and a crowdsourcing scheduler coexist in the process of realizing the invention. The scheduling system comprises the generation of work orders, the destination recommendation of the work orders and the pricing of the work orders. Meanwhile, the scheduling system relates to personnel information management, work order pricing, transport capacity monitoring, personnel monitoring and the like at present, and how to interact data among the systems and operate efficiently is a technical difficulty.

The existing dispatching system only supports self-operation dispatchers, cannot adapt to the working mode that crowdsourcing personnel press the day and divide the area, has weak management on the personnel under the line, and cannot ensure the order completion rate of work orders.

Disclosure of Invention

Therefore, it is necessary to provide a shared automobile service work order scheduling management method, a server, a system and a storage medium for solving the technical problem that the prior art is not suitable for crowdsourcing dispatchers.

The invention provides a shared automobile service work order scheduling method, which comprises the following steps:

acquiring a work order as a work order to be calculated, and performing completion on the work order to be calculated with fields needing to be completed according to supply and demand prediction of a station;

and calculating the work order price and the estimated time length of the work order to be calculated to obtain a pricing work order, and displaying the pricing work order to a salesman terminal.

Further, the acquiring the work order as the work order to be calculated specifically includes:

acquiring a work order generated based on supply and demand prediction as a work order to be calculated; and/or

And acquiring the work order needing to be filled with the fields from the shared automobile service work order management server as the work order to be calculated.

Further, the acquiring the work order requiring the completion of the field from the shared automobile service work order management server as the work order to be calculated specifically includes:

and responding to the real-time work order calculation request, and acquiring the real-time work order needing to be completed as the work order to be calculated from the shared automobile service work order management server.

and acquiring the non-real-time work order needing to be completed as the work order to be calculated from the shared automobile service work order management server at preset intervals.

Still further, the method is characterized in that the completion of the work orders to be calculated, for which the completion field exists, is performed according to supply and demand prediction of the station, and specifically includes:

and (3) completing the work orders to be calculated, which have fields needing to be completed in the starting station field and/or the terminal station field, according to supply and demand prediction of the stations.

Still further, still include:

obtaining a historical work order from a shared automobile service work order management server at regular time, and screening the historical work order according to supply and demand prediction of a station to obtain a failure work order;

and sending failure information comprising the failure work order to the shared automobile service work order management server, and deleting the failure work order by the shared automobile service work order management server according to the failure information.

The invention provides a shared automobile service work order management method, which comprises the following steps:

receiving a pricing work order from a shared automobile service work order scheduling server, wherein the pricing work order is obtained by the shared automobile service work order scheduling server and is used as a work order to be calculated, the work order to be calculated with fields needing to be completed is completed according to supply and demand prediction of a station, and the pricing work order is sent after the work order price and the estimated time length of the work order to be calculated are calculated;

and displaying the pricing work sheet to a salesman terminal.

Further, prior to the receiving the pricing work order from the shared automotive business work order scheduling server, the method further comprises:

responding to a real-time work order generation request of an operator terminal, generating a real-time work order needing field completion, sending a real-time work order calculation request to the shared automobile service work order scheduling server, and acquiring the real-time work order as a work order to be calculated after the real-time work order calculation request is responded by the shared automobile service work order scheduling server.

Further, the displaying the pricing work sheet to the salesperson terminal specifically includes:

and responding to the real-time access of the operator terminal, and displaying the pricing work order generated by the real-time work order to the operator terminal.

responding to a non-real-time work order generation request of a shared automobile service work order scheduling server, and sending a non-real-time work order needing field completion to the shared automobile service work order scheduling server, wherein the non-real-time work order is acquired by the shared automobile service work order scheduling server and then is used as a work order to be calculated.

and responding to the timing access of the operator terminal, and displaying the pricing work order generated by the non-real-time work order to the operator terminal.

Still further, still include:

and deleting the failure work order in response to failure information including the failure work order sent by the shared automobile service work order scheduling server, wherein the failure work order is obtained by obtaining a historical work order for the shared automobile service work order scheduling server at regular time and screening the historical work order according to supply and demand prediction of a station.

The invention provides a shared automobile service work order scheduling server, which comprises:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the one processor to cause the at least one processor to:

Still further, the processor is further capable of:

The invention provides a shared automobile service work order management server, which comprises:

and displaying the pricing work sheet to a salesman terminal.

Further, prior to the receiving the pricing work order from the shared automotive business work order scheduling server, the processor is further capable of:

Still further, the processor is further capable of:

The invention provides a shared automobile service work order scheduling management system which comprises the shared automobile service work order scheduling server, the shared automobile service work order scheduling server and a salesman terminal, wherein the shared automobile service work order scheduling server is in communication connection with the shared automobile service work order management server, and the shared automobile service work order management server is in communication connection with the salesman terminal.

The present invention provides a storage medium storing computer instructions for performing all the steps of the shared automotive business work order scheduling method as described above when the computer executes the computer instructions.

The present invention provides a storage medium storing computer instructions for performing all the steps of the shared automotive business work order management method as described above when the computer executes the computer instructions.

According to the invention, the shared automobile service work order dispatching server completes and calculates the work order, and the shared automobile service work order management server displays the work order to the operator terminal, so that a self-service dispatcher and a crowdsourcing dispatcher can execute the work order in an order-grabbing mode, and not only can the flexibility of the work order executed by the dispatcher be ensured, but also the completion rate of the work order can be ensured.

Drawings

FIG. 1 is a flowchart illustrating a method for scheduling a shared vehicle service work order according to an embodiment of the present invention;

FIG. 2 is a flowchart illustrating a method for scheduling a shared vehicle service work order according to a second embodiment of the present invention;

FIG. 3 is a flowchart illustrating a method for sharing a work order of a vehicle service according to a third alternative embodiment of the present invention;

FIG. 4 is a flowchart illustrating a method for managing a shared automotive business work order according to the present invention;

FIG. 5 is a flowchart illustrating a method for managing a shared vehicle service work order according to the present invention;

fig. 6 is a schematic diagram of a hardware structure of a shared automobile service work order scheduling server according to a sixth embodiment of the present invention;

fig. 7 is a schematic diagram of a hardware structure of a shared automobile service work order management server according to a ninth embodiment of the present invention;

fig. 8 is a system for scheduling and managing shared vehicle service work orders according to the preferred embodiment of the present invention.

Detailed Description

The invention is described in further detail below with reference to the figures and specific examples.

Example one

Fig. 1 is a flowchart illustrating a method for scheduling a shared vehicle service work order according to an embodiment of the present invention, including:

s101, acquiring a work order as a work order to be calculated, and completing the work order to be calculated with fields needing to be completed according to supply and demand prediction of a station;

and S102, calculating the work order price and the estimated time length of the work order to be calculated to obtain a pricing work order, sending the pricing work order to a shared automobile service work order management server, and displaying the pricing work order to an operator terminal or directly displaying the pricing work order to the operator terminal by the shared automobile service work order management server.

Specifically, the present embodiment is used for a shared automobile service work order scheduling server, wherein in step S101, for the obtained work order to be calculated, the work order to be calculated, in which the field to be completed exists, is completed according to the supply and demand prediction of the station. The supply and demand forecasting method has the advantages that vehicle supply and demand scheduling decision support is provided through forecasting the dimension supply and demand relation of the station, and the problems of insufficient supply and lack of parking spaces are solved. The completed work order to be calculated has complete work order information. Therefore, after calculating the work order price and the estimated time length for the work order to be calculated in step S102, the pricing work order is obtained, and the pricing work order is sent to the shared automobile service work order management server. And the shared automobile service work order management server displays the complete valuation work order to the operator terminal. Whether the operator is self-service or crowdsourced, the complete pricing work order can be obtained through the operator terminal, and the work order is executed by adopting a form-robbing mode.

Example two

Fig. 2 is a flowchart illustrating a shared vehicle service work order scheduling method according to a second embodiment of the present invention, including:

step S201, acquiring a work order generated based on supply and demand prediction as a work order to be calculated.

Step S202, obtaining the work order needing to complete the field from the shared automobile service work order management server as the work order to be calculated.

And step S203, completing the work orders to be calculated with the fields needing to be completed according to the supply and demand forecast of the field station.

In one embodiment, the work orders to be calculated, which need to be completed in the field of the starting station and/or the field of the terminal station, are completed according to the supply and demand forecast of the stations.

Step S204, calculating the work order price and the estimated time length of the work order to be calculated to obtain a pricing work order, sending the pricing work order to a shared automobile service work order management server, and displaying the pricing work order to a waiter terminal by the shared automobile service work order management server.

And S205, acquiring a historical work order from the shared automobile service work order management server at regular time, and screening the historical work order according to supply and demand prediction of a station to obtain a failure work order.

Step S206, failure information including the failure work order is sent to the shared automobile service work order management server, and the shared automobile service work order management server deletes the failure work order according to the failure information.

Specifically, the work orders to be calculated in this embodiment are divided into two types, the first type is a work order generated based on supply and demand prediction, and is executed in step S201. Preferably, the algorithm generates two types of work orders based on supply and demand forecasts: one is a station backlog work order, namely based on supply and demand prediction, the work order is generated by judging that too many shared automobiles in the station are too many, and a dispatcher dispatches the too many shared automobiles to other stations. The other is a work order with strong demand prediction, namely, based on the supply and demand prediction, the shortage of the shared automobile in the station is judged, the work order needs to be generated, and a dispatcher dispatches the shared automobile to the station from other stations.

The work order to be calculated of another type is acquired from the shared automobile service work order management server and executed in step S202. The execution order of step S201 and step S202 may be exchanged or executed synchronously.

In the embodiment, the algorithm work order generated by calculation and the service work order acquired from the shared automobile service work order management server are calculated in a unified manner, so that the supply and demand prediction is met, and the actual service requirement is met.

On the other hand, the completion field of the present embodiment is a start site field and/or an end site field. The shared automobile service work order is used for dispatching a shared automobile by an operator, so that a starting station and an end station need to be filled in the work order so as to enable the operator to dispatch the shared automobile from the starting station to the end station.

In the embodiment, the field completion is independent of the shared automobile service work order management server, and the shared automobile service work order scheduling server determines the starting station and the terminal station of the work order according to supply and demand prediction, so that service and calculation decoupling is realized.

On the other hand, in view of the fact that the supply and demand of each station are dynamically changed, backlog phenomenon of the station A in the last hour is likely to occur, a vehicle needs to be called out, the station A in the next hour has no backlog, if a work order M for calling out the vehicle is created for the station A in the last hour and the work order M is not received all the time, the work order M needs to be cancelled in the next hour according to the actual situation of the station, therefore, it needs to judge which scheduling work orders corresponding to the vehicles are invalid and need to be cancelled, a message queue tells a shared automobile service work order management server, and the shared automobile service work order management server cancels the work orders by changing the state of the work orders.

Preferably, for a work order which is completed or cancelled, the shared automobile service work order scheduling server needs to be informed, and the vehicle corresponding to the work order is released and can participate in the scheduling candidate vehicle set again; therefore, when the work order is finished or cancelled by the business rule, the state of the corresponding work order in the business work order auxiliary table can be modified in a callback function mode.

EXAMPLE III

Fig. 3 is a flowchart illustrating a shared vehicle service work order scheduling method according to a third embodiment of the present invention, including:

step S301, acquiring a work order generated based on supply and demand prediction as a work order to be calculated;

step S302, responding to a real-time work order calculation request, and acquiring a real-time work order needing to complete fields from the shared automobile service work order management server as a work order to be calculated;

step S303, acquiring a non-real-time work order needing to complete fields from the shared automobile service work order management server as a work order to be calculated at preset intervals;

step S304, completing the work orders to be calculated with the fields needing to be completed according to supply and demand forecast of the station;

step S305, calculating the work order price and the estimated time length of the work order to be calculated to obtain a pricing work order, sending the pricing work order to a shared automobile service work order management server, and displaying the pricing work order to a waiter terminal by the shared automobile service work order management server.

Specifically, the work orders generated by the shared automobile service work order management server are divided into two types, one type is a real-time work order requiring a real-time request to return a result, for example, the work order is charged up, a dispatcher manually triggers a charging completion button on a service staff terminal, and the generated work order is triggered. This type of work order is executed in real time by step S302. Another category is that which does not require real-time requests to return results, such as work orders for overtaking vehicles, work orders sent to charge, etc. The job ticket is acquired at preset intervals in step S303.

The embodiment realizes the management response of the real-time work order and the non-real-time work order, so that the management response of the work order is more flexible.

Example four

Fig. 4 is a flowchart illustrating a method for managing a shared work order of an automobile service according to the present invention, which includes:

step S401, receiving a pricing work order from a shared automobile service work order scheduling server, wherein the pricing work order is obtained by the shared automobile service work order scheduling server and is used as a work order to be calculated, the work order to be calculated with fields needing to be completed is completed according to supply and demand prediction of a station, and the pricing work order is sent after the work order price and the estimated time length of the work order to be calculated are calculated;

and S402, displaying the pricing worksheet to a salesman terminal.

Specifically, the embodiment is applied to a shared automobile service work order management server, wherein step S401 receives a pricing work order from a shared automobile service work order scheduling server, and the pricing work order is obtained by calculating a work order price and an estimated time length for the work order to be calculated after fields in the pricing work order are completed by the shared automobile service work order scheduling server according to supply and demand prediction of a station. The supply and demand forecasting method has the advantages that vehicle supply and demand scheduling decision support is provided through forecasting the dimension supply and demand relation of the station, and the problems of insufficient supply and lack of parking spaces are solved. The pricing work order has complete work order information, work order price and pre-estimated time length. Accordingly, the complete invoiced work order is presented to the clerk terminal at step S402. Whether the operator is self-service or crowdsourced, the complete pricing work order can be obtained through the operator terminal, and the work order is executed by adopting a form-robbing mode.

EXAMPLE five

Fig. 5 is a flowchart illustrating a method for managing a shared work order of an automobile service according to the present invention, which includes:

step S501, responding to a real-time work order generation request of an operator terminal, generating a real-time work order needing field completion, sending a real-time work order calculation request to the shared automobile service work order scheduling server, and acquiring the real-time work order as a work order to be calculated after the real-time work order calculation request is responded by the shared automobile service work order scheduling server;

step S502, responding to a non-real-time work order generation request of a shared automobile service work order scheduling server, and sending a non-real-time work order needing field completion to the shared automobile service work order scheduling server, wherein the non-real-time work order is acquired by the shared automobile service work order scheduling server and then is used as a work order to be calculated;

step S503, receiving a pricing work order from a shared automobile service work order scheduling server, wherein the pricing work order is obtained by the shared automobile service work order scheduling server as a work order to be calculated, the work order to be calculated with fields needing to be completed is completed according to supply and demand forecast of a station, and the pricing work order is sent after the work order price and the estimated time length of the work order to be calculated are calculated;

step S504, respond to the real-time visit of the terminal station of the business, show the valuation work order that the said real-time work order produces to the terminal station of business;

step S505, responding to the timing access of the operator terminal, displaying the pricing work order generated by the non-real-time work order to the operator terminal;

and S506, responding to failure information including a failure work order sent by the shared automobile service work order scheduling server, deleting the failure work order, obtaining a historical work order for the shared automobile service work order scheduling server at regular time by the failure work order, and screening the historical work order according to supply and demand prediction of a station to obtain the historical work order.

Specifically, the work orders are divided into two types, one type is a real-time work order requiring a real-time request to return a result, for example, the work order is generated by charging up, and a dispatcher manually triggers a charging completion button on a salesman terminal to trigger the work order. This type of work order is executed in real time by step S501. Another category is that which does not require real-time requests to return results, such as work orders for overtaking vehicles, work orders sent to charge, etc. The job ticket is responded every preset interval by step S502.

On the other hand, in view of the fact that the supply and demand of each station are dynamically changed, backlog phenomenon of the station A in the last hour is likely to occur, a vehicle needs to be called out, the station A in the next hour has no backlog, if a work order M for calling out the vehicle is created for the station A in the last hour and the work order M is not received all the time, the work order M needs to be cancelled in the next hour according to the actual situation of the station, therefore, a shared automobile service work order scheduling server needs to judge which scheduling work orders corresponding to the vehicles fail and cancel the work orders, the shared automobile service work order management server tells the shared automobile service work order management server through a message queue, and the shared automobile service work order management server cancels the work orders by changing the state of the work orders.

EXAMPLE six

Fig. 6 is a schematic diagram of a hardware structure of a shared automotive service work order scheduling server according to a sixth embodiment of the present invention, including:

at least one processor 601; and the number of the first and second groups,

a memory 602 communicatively coupled to the at least one processor 601; wherein the content of the first and second substances,

the memory 602 stores instructions executable by the one processor to cause the at least one processor to:

and calculating the work order price and the estimated time length of the work order to be calculated to obtain a pricing work order, sending the pricing work order to a shared automobile service work order management server, and displaying the pricing work order to a waiter terminal by the shared automobile service work order management server.

In fig. 6, one processor 602 is taken as an example.

The server may further include: an input device 603 and an output device 604.

The processor 601, the memory 602, the input device 603, and the display device 604 may be connected by a bus or other means, and are illustrated as being connected by a bus.

The memory 602, serving as a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the shared automobile service work order scheduling method in the embodiments of the present application, for example, the method flows shown in fig. 1 to 3. The processor 601 executes various functional applications and data processing by running nonvolatile software programs, instructions and modules stored in the memory 602, that is, implements the shared automobile service work order scheduling method in the foregoing embodiments.

The memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the shared automobile service work order scheduling method, and the like. Further, the memory 602 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 602 optionally includes memory located remotely from the processor 601, and these remote memories may be connected over a network to a device that performs the shared automotive business work order scheduling method. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 603 may receive input user clicks and generate signal inputs related to user settings and functional controls for the shared automotive service work order scheduling method. The display device 604 may include a display screen or the like.

The shared automotive business work order scheduling method of any of the above method embodiments is performed when the one or more modules are stored in the memory 602 and executed by the one or more processors 601.

EXAMPLE seven

A seventh embodiment of the present invention provides a shared automotive service work order scheduling server, including:

at least one processor; and the number of the first and second groups,

and acquiring a work order generated based on supply and demand prediction as a work order to be calculated.

And completing the work orders to be calculated with the fields needing to be completed according to the supply and demand forecast of the station.

And acquiring a historical work order from the shared automobile service work order management server at regular time, and screening the historical work order according to supply and demand prediction of a station to obtain a failure work order.

Example eight

An eighth embodiment of the present invention provides a shared automotive service work order scheduling server, including:

at least one processor; and the number of the first and second groups,

acquiring a work order generated based on supply and demand prediction as a work order to be calculated;

responding to a real-time work order calculation request, and acquiring a real-time work order needing to be completed as a work order to be calculated from the shared automobile service work order management server;

acquiring a non-real-time work order needing to complete fields from the shared automobile service work order management server as a work order to be calculated at intervals of preset intervals;

completing the work orders to be calculated with fields needing to be completed according to supply and demand prediction of the station;

Example nine

Fig. 7 is a schematic diagram of a hardware structure of a shared automotive service work order management server according to a ninth embodiment of the present invention, including:

at least one processor 701; and the number of the first and second groups,

a memory 702 communicatively coupled to the at least one processor 701; wherein the content of the first and second substances,

the memory 702 stores instructions executable by the one processor to cause the at least one processor to:

and displaying the pricing work sheet to a salesman terminal.

In fig. 7, one processor 702 is taken as an example.

The server may further include: an input device 703 and an output device 704.

The processor 701, the memory 702, the input device 703 and the display device 704 may be connected by a bus or other means, and are illustrated as being connected by a bus.

The memory 702, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the shared automobile service work order scheduling method in the embodiments of the present application, for example, the method flows shown in fig. 4 to 5. The processor 701 executes various functional applications and data processing by running the nonvolatile software programs, instructions and modules stored in the memory 702, that is, implements the shared automobile service work order management method in the above-described embodiment.

The memory 702 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the shared automobile service work order management method, and the like. Further, the memory 702 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 702 may optionally include memory located remotely from the processor 701, and these remote memories may be connected over a network to a device that performs the shared automotive business work order management method. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 703 may receive input user clicks and generate signal inputs related to user settings and functional controls for the shared automotive business work order management method. Display device 704 may include a display screen or the like.

The shared automotive business work order management method of any of the above method embodiments is performed when the one or more modules are stored in the memory 702 and executed by the one or more processors 701.

Example ten

A tenth embodiment of the present invention provides a shared vehicle service work order management server, including:

at least one processor; and the number of the first and second groups,

responding to a real-time work order generation request of a salesman terminal, generating a real-time work order needing field completion, sending a real-time work order calculation request to the shared automobile service work order scheduling server, and acquiring the real-time work order as a work order to be calculated after the real-time work order calculation request is responded by the shared automobile service work order scheduling server;

responding to a non-real-time work order generation request of a shared automobile service work order scheduling server, and sending a non-real-time work order of a field to be completed to the shared automobile service work order scheduling server, wherein the non-real-time work order is acquired by the shared automobile service work order scheduling server and then is used as a work order to be calculated;

responding to real-time access of an operator terminal, and displaying a pricing work order generated by the real-time work order to the operator terminal;

responding to the timing access of the operator terminal, and displaying the pricing work order generated by the non-real-time work order to the operator terminal;

An eleventh embodiment of the present invention provides a shared automobile service work order scheduling management system, including the shared automobile service work order scheduling server and the shared automobile service work order scheduling server, where the shared automobile service work order scheduling server is in communication connection with the shared automobile service work order scheduling server.

Fig. 8 shows a shared automobile service work order scheduling management system according to a preferred embodiment of the present invention, which includes the aforementioned shared automobile service work order scheduling server 81, the aforementioned shared automobile service work order management server 82, and a service operator terminal 83, where the shared automobile service work order scheduling server 81 is in communication connection with the shared automobile service work order management server 82, and the shared automobile service work order management server 82 is in communication connection with the service operator terminal 83.

Specifically, the shared automotive service work order scheduling server 81 preferably employs a scheduling algorithm engine system, and the shared automotive service work order management server 82 preferably employs a B-side service work order system. The attendant terminal 83 is preferably a mobile terminal that may be communicatively coupled to the shared automotive business order management server 82 via a dispatch Application (APP) therein.

Among them, the operator terminal 83 is preferably configured to:

the dispatcher can see the basic information and various states of all work orders through the attendant terminal 83. Self-service personnel information and crowdsourcing personnel information acquisition: the personnel information is online through the personnel management system, and the functions of the personnel information comprise the functions of personnel admission, registration, sign-in, wage settlement and the like, so that the personnel information of the dispatcher can be obtained.

The shared automotive service work order dispatch server 81 is communicatively coupled to a common database module 84. The common database module 84 includes:

the database 841 is preferably a hive database.

Station information acquisition device 842: the station information is obtained by crawling Point of Interest (POI) data of a map, and the data of the cooperative stations are recorded through a system, so that the number of parking spaces and the charging rule of the cooperative stations in cooperation of each station can be known.

Power station information acquisition device 843: the power station information is obtained by crawling map POI data, and a dispatcher can report the use condition of the charging pile of each power station through a dispatching APP, so that the information of which power piles are available and which power piles are unavailable can be obtained.

Vehicle capture device 844: a Telematics (Telematics BOX, T-Box) is mounted on the vehicle to acquire positioning information, a driving track and the like of the vehicle.

A worksheet table: for recording work orders.

The shared automotive business work order scheduling server 81 preferably includes a supply and demand forecasting module 811, a work order recommendation module 812, a pricing module 813, a rule checking module 814, an algorithm ordering module 815, and a historical work order validity diagnostic module 816, wherein:

supply and demand prediction module 811: by predicting the dimension supply and demand relationship of the station, the vehicle supply and demand scheduling decision support is provided, and the problems of insufficient supply and lack of parking spaces are solved.

Work order recommendation module 812: and accumulating the generated work orders which do not need to return results in real time for 5min, and performing optimization matching recommendation of the whole city, so that the method not only supports the business rule to generate the work orders (known starting points or end points), but also compatibly supports the algorithm to predict the generated work orders. The work orders are divided into work orders needing to return results in real time and work orders needing not to return results in real time. The real-time work order needs to return a result work order in real time, and the real-time work order request is sent, so that quick response is guaranteed. And polling every 5 minutes for the work orders which do not need to return results in real time, and carrying out global optimization.

Pricing module 813: and reasonable and competitive work order pricing is given to the prediction of the navigation time and distance of all work orders.

Rule checking module 814: and (5) carrying out risk control, and carrying out strategy bottom-finding on the reasonability of the work order.

The algorithm order module 815: the algorithm generates two types of work orders based on supply and demand prediction: one is a station backlog work order, and the other is a strong demand forecast work order; and after the required fields are calculated by the produced work orders through the recommending module and the pricing module, marking the work orders as work orders to be created by the algorithm, and then informing the B-end service system through a message queue of the algorithm output result.

Historical work order validity diagnosis module 816: in view of the fact that the supply and demand of each station are dynamically changed, backlog phenomenon of the station A in the last hour is likely to occur, a vehicle needs to be called out, the station A in the next hour has no backlog, if a work order M for calling out the vehicle is created for the station A in the last hour and the work order M is not received all the time, the work order M needs to be cancelled in the next hour according to the actual situation of the station, therefore, the historical work order validity diagnosis module 815 judges which scheduling work orders corresponding to the vehicles fail and needs to be cancelled, and informs a business work order system through a message queue, and the business work order system cancels the work orders by changing the state of the work orders.

The shared automotive business work order management server 82 includes a business work order auxiliary table 821, a business work order table 822.

Overview of the Interactive logic between systems:

the work orders generated by the B-end service system are divided into two types: one is that a real-time request is required to return a result, such as a work order for returning a vehicle after charging; the other type does not need to request the return result in real time, such as a work order of an overtime vehicle, a work order sent to charge and the like; the work orders needing real-time request return results in the work orders generated by the service rules are notified to the algorithm engine system through the real-time work order request queue MQ1, the results are calculated by the recommendation module of the algorithm, then the price and the estimated duration of the work orders are calculated by the pricing module, and finally the work orders are written into the algorithm output result queue MQ2 of the algorithm output results to be consumed by the system B; secondly, aiming at the work orders which are generated by the business rules and do not need to return results in real time, the algorithm engine system inquires a work order table every five minutes, screens out the work orders which need to complete fields, and writes the results into a message queue of the algorithm output results for consumption of a system B after the algorithm engine calculates the needed fields.

The algorithm generates two types of work orders based on supply and demand prediction: one is a station backlog work order, and the other is a strong demand forecast work order; and after the required fields are calculated by the produced work orders through the recommending module and the pricing module, marking the work orders as work orders to be created by the algorithm, and then informing the B-end service system through a message queue of the algorithm output result.

For the message queue of the algorithm output result, storing the received information into a service work order auxiliary table, wherein the table comprises a work order to be created by the algorithm and a work order of fields required to be supplemented by the service; when a user initiates a request or scans the auxiliary table every minute, work order records which need to be created and are not created are written into the service table, the work order association auxiliary table which needs to supplement fields is displayed on the dispatcher APP, and when the work order is received by the dispatcher, the associated fields are durably written into the service work order table.

In view of the fact that the supply and demand of each station are dynamically changed, backlog phenomenon of the station A in the last hour is likely to occur, a vehicle needs to be called out, the station A in the next hour has no backlog, if a work order M for calling out the vehicle is created for the station A in the last hour and the work order M is not received all the time, the work order M needs to be cancelled in the next hour according to the actual situation of the station, therefore, an algorithm needs to judge which scheduling work orders corresponding to the vehicles are invalid and need to be cancelled, a service work order system is informed through a message queue, and the service work order system cancels the work orders by changing the state of the work orders.

For a work order which is completed or cancelled, an algorithm engine system needs to be informed, and a vehicle corresponding to the work order is released and can participate in the dispatching candidate vehicle set again; therefore, when the work order is finished or cancelled by the business rule, the state of the corresponding work order in the business work order auxiliary table is modified in a callback function mode.

Information of stations, power stations, work orders, dispatchers and the like is needed to be used in the whole system, part of the data is stored in a hive database (such as station and power station data), and part of the data is stored in a mysql table, such as dispatcher and work order information, so that the Mybatis framework is preferably adopted to realize the linkage and data reading and writing of the database, the output data of an order (i.e. work order decision) module under the algorithm is stored in a redis cache, and the output data is updated every 20 minutes for the recommendation module to use; three places in the whole system need to be realized through distributed timing tasks, and the first place is that a demand forecasting module needs to be triggered regularly every 1 hour to forecast demand once; the second place is an algorithm ordering module which needs to be scheduled once every 20 minutes; the third is the destination recommendation module, scheduled every 5 minutes. The whole system is distributed, so the technical scheme adopted by the timing task is a distributed scheduling Elastic-Job framework, and the main design concept of the Elastic-joba is a decentralized distributed timing scheduling framework. But the database has no distributed coordination function, so that the flexible capacity expansion and data fragmentation are added on the basis of a high-availability scheme, so that the resources of the distributed server are utilized to a greater extent. The timing tasks are managed and scheduled in a cluster mode, distributed deployment is adopted, high availability of the system is guaranteed, and fault tolerance is improved.

An example of an application of the present invention is as follows:

after the vehicle is charged completely, a dispatcher triggers a work order on a terminal APP, then work order information is input into a business work order system, the dispatching algorithm system is informed in a message queue mode, modeling optimization is carried out on the problem by the dispatching algorithm system, a starting station is selected to be close to a target station, and a destination recommended for the vehicle work order is calculated; and after the starting station and the target station of the work order are known, calculating the navigation distance and the estimated duration, pricing the work order according to the navigation distance and the estimated duration, and returning to the service work order system for work order display after price output. Secondly, when a dispatcher really makes an order, the transport capacity needs to be effectively monitored so as to timely diagnose which area needs the transport capacity and which area overflows the transport capacity; meanwhile, the method is also an evaluation for the personal work of the dispatcher, which needs to issue salaries according to the condition of the finished order of the dispatcher, and make effective strategies for the price of the worksheet and the management of personnel according to the updating and keeping conditions of the dispatcher. All the above systems rely on the support of basic data and dynamic data, and need to collect and store information of self-service personnel, information of crowdsourcing personnel, dynamic information of stations, dynamic information of power stations and dynamic information of vehicles, and get through data links by technical means, and can support a scheduling algorithm system to perform global optimization. Thereby enabling the crowdsourcing scheduling system to operate normally.

A twelfth embodiment of the present invention provides a storage medium storing computer instructions for performing all the steps of the shared automobile service work order scheduling method as described above when the computer executes the computer instructions.

A thirteenth embodiment of the present invention provides a storage medium storing computer instructions for performing all the steps of the shared automotive business work order management method as described above when executed by a computer.

The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A shared automobile service work order scheduling method is characterized by comprising the following steps:

2. The method for scheduling the shared automobile service work order according to claim 1, wherein the obtaining of the work order as the work order to be calculated specifically comprises:

3. The method for scheduling the shared automobile service work order according to claim 2, wherein the step of obtaining the work order requiring the completion field from the shared automobile service work order management server as the work order to be calculated specifically comprises:

4. The method for scheduling the shared automobile service work order according to claim 2, wherein the step of obtaining the work order requiring the completion field from the shared automobile service work order management server as the work order to be calculated specifically comprises:

5. The method for scheduling the shared automobile service work order according to any one of claims 1 to 4, wherein the completion of the work order to be calculated, for which the field to be completed exists, is performed according to supply and demand prediction of a station, and specifically comprises:

6. The shared automotive service work order scheduling method of any one of claims 1 to 4, further comprising:

7. A method for managing a shared automobile service work order is characterized by comprising the following steps:

and displaying the pricing work sheet to a salesman terminal.

8. The shared automotive service work order management method of claim 7, wherein prior to said receiving a pricing work order from the shared automotive service work order scheduling server, the method further comprises:

9. The method for managing the shared automobile service work order according to claim 8, wherein the displaying the pricing work order to a service staff terminal specifically comprises:

10. The shared automotive service work order management method of claim 7, wherein prior to said receiving a pricing work order from the shared automotive service work order scheduling server, the method further comprises:

11. The method for managing the shared automobile service work order according to claim 10, wherein the displaying the pricing work order to a service staff terminal specifically comprises:

12. The method of shared automotive business work order management of claim 7, further comprising:

13. A shared automotive business work order dispatch server, comprising:

at least one processor; and the number of the first and second groups,

14. The shared automotive service work order scheduling server of claim 13, wherein the obtaining of the work order as the work order to be calculated specifically comprises:

15. The shared automotive service work order scheduling server of claim 14, wherein the obtaining of the work order requiring the completion field from the shared automotive service work order management server as the work order to be calculated specifically comprises:

16. The shared automotive service work order scheduling server of claim 14, wherein the obtaining of the work order requiring the completion field from the shared automotive service work order management server as the work order to be calculated specifically comprises:

17. The shared automotive service work order scheduling server according to any one of claims 13 to 16, wherein the completion of the work orders to be calculated for which the completion-required field exists is performed according to supply and demand forecast of the station, specifically comprising:

18. The shared automotive service work order dispatch server of any one of claims 13 to 16, wherein the processor is further capable of:

19. A shared automotive business work order management server, comprising:

and displaying the pricing work sheet to a salesman terminal.

20. The shared automotive service work order management server of claim 19, wherein prior to said receiving a pricing work order from the shared automotive service work order scheduling server, the processor is further capable of:

21. The shared automotive business work order management server of claim 20, wherein the presenting the pricing work order to a clerk terminal specifically comprises:

22. The shared automotive service work order dispatch server of claim 19, wherein prior to said receiving a pricing work order from the shared automotive service work order dispatch server, the processor is further capable of:

23. The shared automotive business worksheet scheduling server of claim 22, wherein the presenting of the pricing worksheet to a clerk terminal comprises:

24. The shared automotive business work order management server of claim 19, wherein the processor is further capable of:

25. A shared automotive service work order scheduling management system, comprising the shared automotive service work order scheduling server according to any one of claims 13 to 18, the shared automotive service work order scheduling server according to any one of claims 19 to 24, and an attendant terminal, wherein the shared automotive service work order scheduling server is in communication connection with the shared automotive service work order management server, and the shared automotive service work order management server is in communication connection with the attendant terminal.

26. A storage medium storing computer instructions for performing all the steps of the method of shared automotive business work order scheduling in accordance with any one of claims 1 to 6 when executed by a computer.

27. A storage medium storing computer instructions for performing all the steps of the method of shared automotive business work order management of any one of claims 7 to 12 when executed by a computer.