CN111489101A

CN111489101A - Order auditing method, device, equipment and medium based on big data

Info

Publication number: CN111489101A
Application number: CN202010344051.1A
Authority: CN
Inventors: 蔡俊; 苏楠; 王凡; 姚春雨; 刘志明
Original assignee: Haohuo Kunshan Network Technology Co ltd
Current assignee: Haohuo Kunshan Network Technology Co ltd
Priority date: 2020-04-27
Filing date: 2020-04-27
Publication date: 2020-08-04

Abstract

The invention discloses an order auditing method, device, equipment and medium based on big data. Wherein the method comprises the following steps: when an order generation event in a database is detected, specific order data in the order are obtained; matching the order data with wind control data preset in an order service module to determine the wind control level of the order; and determining an auditing result of the order according to the wind control level. The order auditing method based on the big data provided by the embodiment of the invention provides an automatic order wind control auditing method, and improves the efficiency and accuracy of order auditing.

Description

Order auditing method, device, equipment and medium based on big data

Technical Field

The embodiment of the invention relates to the technical field of computers, in particular to an order auditing method, device, equipment and medium based on big data.

Background

With the progress and development of society, the scene of flexible employment is more and more common, the uncertain duration of employment and the diversification of the employment types become the main characteristics of the flexible employment.

In many existing employment scenarios, commission is issued to workers respectively by financial staff of different employment units according to the employment duration and the employment types of the workers. However, because the data volume of the commission order is huge, the commission order data is audited in a manual mode, errors are easy to occur, the efficiency is low, and the interests of both workers and enterprises are damaged if errors occur.

Disclosure of Invention

The invention provides an order auditing method, device, equipment and medium based on big data, which are used for realizing automatic wind control auditing of orders and ensuring the safety of the orders.

In a first aspect, an embodiment of the present invention provides an order auditing method based on big data, including:

when an order generation event in a database is detected, specific order data in the order are obtained;

matching the order data with wind control data preset in an order service module to determine the wind control level of the order;

and determining an auditing result of the order according to the wind control level.

In a second aspect, an embodiment of the present invention further provides an order auditing apparatus based on big data, including:

the acquisition module is used for acquiring specific order data in the order when an order generation event in a database is detected;

the wind control level determining module is used for matching the order data with wind control data preset in the order service module and determining the wind control level of the order;

and the auditing result determining module is used for determining the auditing result of the order according to the wind control level.

In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement a big data based order review method as in any of the embodiments of the present invention.

In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a big data-based order auditing method according to any one of the embodiments of the present invention.

According to the method and the device, when an order generation event in a database is detected, specific order data in the order are obtained, the order data are matched with the preset wind control data in the order service module, the wind control level of the order is determined, and then an order auditing result is determined according to the wind control level. The technical scheme of the embodiment of the invention provides an automatic order auditing method, and the efficiency and the accuracy of order auditing are improved.

Drawings

Fig. 1 is a flowchart of an order auditing method based on big data according to an embodiment of the present invention;

fig. 2 is a flowchart of an order auditing method based on big data according to a second embodiment of the present invention;

fig. 3 is a schematic structural diagram of an order auditing apparatus based on big data according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

Example one

Fig. 1 is a flowchart of an order auditing method based on big data according to an embodiment of the present invention, where the embodiment is applicable to auditing an order, and typically, the method is applicable to performing a wind-controlled audit on a commission order under a flexible employment platform. The method can be executed by an order auditing device based on big data, and specifically comprises the following steps, with reference to fig. 1:

s110, when an order generation event in the database is detected, specific order data in the order are obtained.

In this embodiment, the generation, the review, the storage and other operations of the order can be completed by the server, and the order creation in this embodiment can be applied to a software platform for "flexible employment" and is used for online wage distribution for the free creators by the employment enterprise.

The order can be a commission order generated by the platform, the commission order can be generated according to an acceptance item of the enterprise user, and further, the acceptance can be divided into two modes, namely, the first mode is that the enterprise user imports order details and then generates the order; second, the enterprise user imports the completed task and then generates an order. The orders generated by the two modes need to be subjected to wind control examination and verification so as to ensure the safety of transaction data.

The specific order data may be financial data related to fund transactions, data related to identity information, and the like. For example, data such as the type of user created and the amount of commission in the order may be included. In this embodiment, the generated orders are all stored in the database, and each generated order generates unique identification information correspondingly. And when detecting that a new order is generated in the database, extracting the specific order data in the order according to a preset extraction rule so as to carry out automatic wind control examination on the order subsequently.

And S120, matching the order data with wind control data preset in the order service module to determine the wind control level of the order.

The wind control data is used for determining the wind control level of the order data and can be set according to actual requirements. For example, the wind control data may include identity information of the user in the order data, such as an employer or an individual industrial business; the wind control data may be data such as the amount of a commission in the order data.

For example, if the preset wind control data sets that the corresponding wind control level is the secondary wind control when the identity of the employer is a special person, i.e., a legal person, a shareholder or a black house, the wind control level of the order can be determined to be the secondary wind control if the order data is matched with the wind control data.

In the embodiment, different risk data can be customized according to different auditing requirements, and the wind control data is stored in the order service module in advance, so that wind control auditing of the order is facilitated.

And S130, determining an order auditing result according to the wind control level.

In this embodiment, different wind control levels correspond to different auditing results, and when the wind control level of an order is smaller, it indicates that the risk of the order is smaller, and the order can pass auditing; when the wind control level of the order is higher, the order risk is higher, the order data has some irregular problems, and the order audit cannot pass or needs to be secondarily audited.

Specifically, determining an order audit result according to the wind control level includes:

if the wind control level is less than or equal to a first wind control level threshold value, the order is approved;

if the wind control level is greater than or equal to a second wind control level threshold value, the order audit is not passed;

if the wind control level is greater than a first wind control level threshold value and less than a second wind control threshold value, automatically backing up the order data to a preset manual review folder for manual secondary review;

updating the order audit state in the database;

wherein the first wind control level threshold is less than a second wind control level threshold.

For example, the wind control level may be divided into five levels according to the order of the risk values from large to small, and when the risk value is level 1, it indicates that the risk value of the order is small at this time, and the order is approved; when the wind control level is 5, the risk value of the order is large at the moment, the order cannot be audited, and settlement is forbidden; when the wind control level is between the 1 st level and the 5 th level, the order data can be automatically backed up to a preset manual review folder for manual secondary review confirmation.

According to the technical scheme of the embodiment of the invention, when an order generation event in the database is detected, specific order data in the order are obtained, the order data are matched with the preset wind control data in the order service module, the wind control level of the order is determined, and then the auditing result of the order is determined according to the wind control level. The technical scheme of the embodiment of the invention provides an automatic order auditing method, and the efficiency and the accuracy of order auditing are improved.

Example two

Fig. 2 is a flowchart of an order auditing method based on big data according to a second embodiment of the present invention, where in the second embodiment of the present invention, S120 is further refined on the basis of the above-mentioned embodiment, that is, the type of business owner to which the user in the order belongs is determined according to the user data information in the order data; matching the order data with the wind control data associated with the corresponding business owner type to determine the wind control level of the order; wherein the wind control levels comprise at least two wind control levels with different risk values. Referring to fig. 2, the method may specifically include:

s210, when an order generation event in the database is detected, specific order data in the order are obtained.

S220, determining the type of the business owner to which the user belongs in the order according to the user data information in the order data.

The business owner type is different registered user types in the flexible employment software platform, and comprises user types of individual industrial businesses, employers and the like in different regions. The preset risk data corresponding to different user types are different, so after the order data are obtained, the type of the business industry main body to which the user belongs in the order is determined according to the user data information in the order data.

And S230, matching the order data with the wind control data associated with the corresponding business owner type, and determining the wind control level of the order.

Specifically, the wind control data corresponding to different business owners are different. For example, if the business entity is an employer, the corresponding wind control data may include data such as the aggregate settlement amount, the accumulated number of settlement customers, the number of batch settlements of the employer; if the business subject is an individual industrial and commercial business, the corresponding wind control data may include monthly accumulated commission of the individual industrial and commercial business, age information of the user, and the like.

For example, if the user data type in the current order data indicates that the current user is an individual industrial company, matching other order data in the order data with the associated risk data of the individual industrial company, and if the monthly cumulative commission in the current order data is matched with the monthly cumulative commission order with a higher risk value in the risk data, determining that the wind control level of the current order data is higher and the current order has a higher risk.

And S240, determining an order auditing result according to the wind control level.

According to the technical scheme of the embodiment of the invention, the type of the business owner of the user in the order is determined through the user data information in the order data, the order data is matched with the wind control data associated with the corresponding business owner type, and the wind control level of the order is determined.

Further, on the basis of the above embodiment, after S240, the method further includes:

and generating a notification instruction according to the order auditing result, and sending the notification instruction to a user.

In this embodiment, after the order audit is completed, the corresponding generated notification instruction is returned to the user, so as to notify the user of the order audit result in time. Furthermore, if the current order audit is not passed, the high-risk data and the audit result in the order data can be returned to the user together, so that the user can conveniently re-verify the corresponding order data and correct the order data.

EXAMPLE III

Fig. 3 is a schematic structural diagram of an order auditing apparatus based on big data according to a third embodiment of the present invention, which is capable of executing an order auditing method based on big data according to any one of the embodiments of the present invention. Referring to fig. 3, the apparatus may specifically include:

an obtaining module 310, configured to obtain specific order data in an order when an order generation event in a database is detected;

the wind control level determining module 320 is configured to match the order data with wind control data preset in the order service module, and determine a wind control level of the order;

and the auditing result determining module 330 is used for determining the auditing result of the order according to the wind control level.

Specifically, the wind control level determining module 320 is specifically configured to:

determining the type of a business owner to which the user belongs in the order according to user data information in the order data;

matching the order data with the wind control data associated with the corresponding business owner type to determine the wind control level of the order;

wherein the wind control levels comprise at least two wind control levels with different risk values.

The audit result determining module 330 is specifically configured to:

updating the order audit state in the database;

Optionally, the apparatus further comprises: and the instruction issuing module is used for generating a notification instruction according to the checking result of the order and sending the notification instruction to the user.

The order auditing device based on big data provided by the embodiment of the invention can execute the order auditing method based on big data provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.

Example four

Fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention. Fig. 4 illustrates a block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention. The device 12 shown in fig. 4 is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present invention.

As shown in FIG. 4, device 12 is in the form of a general purpose computing device. The components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.

Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

Device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by device 12 and includes both volatile and nonvolatile media, removable and non-removable media.

The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.

Device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the device 12, and/or any device (e.g., network card, modem, etc.) that enables the device 12 to communicate with one or more other computing devices, such communication may occur via input/output (I/O) interfaces 22. furthermore, device 12 may also communicate with one or more networks (e.g., local area network (L AN), Wide Area Network (WAN) and/or a public network, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with the other modules of device 12 via bus 18. it should be understood that, although not shown, other hardware and/or software modules may be used in conjunction with device 12, including, but not limited to, microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

The processing unit 16 executes programs stored in the system memory 28 to execute various functional applications and data processing, for example, to implement a big data based order auditing method provided by the embodiment of the present invention.

EXAMPLE five

An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a big data-based order auditing method as described in any of the above embodiments, where the method includes:

Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including AN object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. An order auditing method based on big data is characterized by comprising the following steps:

2. The method of claim 1, wherein matching the order data with preset wind control data in an order service module to determine a wind control level of the order comprises:

3. The method of claim 1, wherein determining an order audit result based on the wind level comprises:

updating the order audit state in the database;

4. The method of claim 3, further comprising, after determining an audit result for the order based on the wind control level:

5. An order auditing device based on big data is characterized by comprising:

6. The apparatus of claim 5, wherein the wind control level determination module is specifically configured to:

7. The apparatus according to claim 5, wherein the audit result determining module is specifically configured to:

updating the order audit state in the database;

8. The apparatus of claim 7, further comprising:

and the instruction issuing module is used for generating a notification instruction according to the checking result of the order and sending the notification instruction to the user.

9. An apparatus, characterized in that the apparatus comprises:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement a big data based order review method as recited in any of claims 1-4.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a big data based order auditing method according to any one of claims 1-4.