CN111340576A

CN111340576A - Abnormal account identification system and method based on electronic invoice

Info

Publication number: CN111340576A
Application number: CN201811558893.6A
Authority: CN
Inventors: 曾庆维; 刘玉霞
Original assignee: SF Technology Co Ltd
Current assignee: SF Technology Co Ltd; SF Tech Co Ltd
Priority date: 2018-12-19
Filing date: 2018-12-19
Publication date: 2020-06-26

Abstract

The application discloses an abnormal account identification system and method based on an electronic invoice, which comprises the following steps: acquiring information of all electronic invoices in a preset time period, wherein the information at least comprises a purchaser name; and traversing, comparing and judging whether each purchaser name comprises a preset keyword, and listing an account number of the freight note corresponding to the electronic invoice comprising the preset keyword as an exception, wherein the account number is at least one of a monthly account number, an account number of an addressee website and an account number of an addressee courier corresponding to the freight note. According to the technical scheme provided by the embodiment of the application, the information in the electronic invoice issued by the client is obtained and judged, whether the situation that a competitor uses the company resource exists or not is determined according to the client information in the electronic invoice, and the abnormal account using the company resource can be effectively found out.

Description

Abnormal account identification system and method based on electronic invoice

Technical Field

The invention relates to the field of abnormal account identification, in particular to an abnormal account identification system and method based on an electronic invoice.

Background

At present, partial competitive products (competitive companies) utilize the dot coverage advantages of some express companies to greatly catch up express items through price fight and market share of silkworm food competitors. After the items are picked up, if the items are within the transportation coverage range of the items (each item has a preferential sending area, the time effect is not much worse than that of a competitor), the items are transported by the items, if the items are outside the transportation coverage range of the items, the items are transported by the competitor, and if any problem occurs in the midway of the items, the items attract clients to claim from the competitor company.

The express delivery carrier does not allow the competitive products to use the resources of the carrier, and does not allow employees to receive the objects of the competitive products, so that it is necessary to find out the account numbers of the competitive products and the corresponding network points for receiving the competitive products. However, the existing competitive goods change the past strategy, and the related information of the paper waybill begins to be hidden (the consignment company, the consignor and the consignor address are not real), so that great difficulty is brought to the check-out work.

Disclosure of Invention

In view of the above-mentioned defects or shortcomings in the prior art, it is desirable to provide an abnormal account identification system and method based on electronic invoices.

In a first aspect, an abnormal account identification system based on an electronic invoice is provided, which includes:

the system comprises an information acquisition unit, a data processing unit and a data processing unit, wherein the information acquisition unit is used for acquiring information of all electronic invoices in a preset time period, and the information at least comprises a purchaser name;

and the comparison unit is used for traversing, comparing and judging whether each purchaser name comprises a preset keyword or not, and listing an account number of the freight note corresponding to the electronic invoice comprising the preset keyword as an exception, wherein the account number is at least one of a monthly account number, an account number of an addressee website and an account number of an addressee courier corresponding to the freight note.

In a second aspect, an abnormal account identification method based on an electronic invoice is provided, which includes the following steps:

acquiring information of all electronic invoices in a preset time period, wherein the information at least comprises a purchaser name;

and traversing, comparing and judging whether each purchaser name comprises a preset keyword, and listing an account number of the freight note corresponding to the electronic invoice comprising the preset keyword as an exception, wherein the account number is at least one of a monthly account number, an account number of an addressee website and an account number of an addressee courier corresponding to the freight note.

According to the technical scheme provided by the embodiment of the application, the information in the electronic invoice issued by the client is obtained and judged, whether the situation that a competitor uses the company resource exists or not is determined according to the client information in the electronic invoice, and the abnormal account using the company resource can be effectively found out.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:

fig. 1 is a schematic structural diagram of an abnormal account identification system based on an electronic invoice according to the present embodiment;

FIG. 2 is a flowchart illustrating an abnormal account identification method based on an electronic invoice according to the present embodiment;

fig. 3 is a schematic structural diagram of an apparatus provided in this embodiment.

Detailed Description

The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

Referring to fig. 1, the present embodiment provides an abnormal account identification system based on an electronic invoice, including: the system comprises an information acquisition unit 10, a data processing unit and a data processing unit, wherein the information acquisition unit is used for acquiring information of all electronic invoices in a preset time period, and the information at least comprises a purchaser name;

the comparison unit 20 is configured to traverse, compare and determine whether each purchaser name includes a preset keyword, and list, as an exception, an account of an invoice corresponding to the electronic invoice that includes the preset keyword, where the account is at least one of a monthly account, an account of an addressee website, and an account of an addressee courier corresponding to the invoice.

In the embodiment, the electronic invoice in the set time period is acquired in the database, and the head-up of the invoice which is about to be issued by the purchaser on the electronic invoice is compared with the set keyword, wherein the database for acquiring the electronic invoice in the embodiment is formed by storing invoice information of each invoicing unit or individual; whether a company name of a competitor exists in the invoicing new header is judged, if yes, the freight bill account number corresponding to the electronic invoice is determined to be an abnormal account number, and the corresponding order is an abnormal order number, wherein the abnormality at least comprises a monthly account number, an addressee website, an addressee courier and the like corresponding to the freight bill, and the account number stealing the company resource can be effectively detected. Therefore, when one company borrows another company resource, whether service packet transfer behaviors exist can be screened out rapidly in a targeted mode. And further screening can be performed on the abnormal result feedback finally screened so as to eliminate errors and irregularly adjust the competitive products according to the service.

Further, the preset keyword is at least one of a competitor company name keyword, a competitor parent company name keyword and a competitor subsidiary company keyword.

In this embodiment, the set keywords are adopted for the billing company to perform determination, and the company name is taken as the keyword, in consideration of the existence of the subsidiary company or the parent company in the company, so that the keyword needs to be set as the competitor company and the parent company or the subsidiary company, thereby ensuring the accuracy of keyword search for the company name.

Further, the system also comprises a storage unit, which is used for storing abnormal account numbers and the keywords.

After the abnormal account is determined, an order corresponding to the abnormal account, even a receiver receiving the abnormal order, and the like are further determined, so that the reason of the abnormal situation is further confirmed, the situation that the company resources are stolen is prevented from happening again, and the abnormal account is saved; and further saving keywords comprising the names of the companies and the names of the corresponding subsidiary companies of the parent company, so that the names of the companies can be directly determined in the subsequent abnormal account number identification process, and more information of the subsidiary companies or the parent company can be supplemented to the storage unit in real time.

Further, the preset keywords comprise keywords obtained through company association graph clustering and/or keywords set by inputting in advance.

In this embodiment, names of buyers in the invoice are compared through the preset keywords, and the names of the artificially set competitor companies are missed, for example, branch companies arranged at different places, subsidiaries with names changed, and the like exist, so that a website of the set associated map of the names of the competitor companies needs to be queried, such as enterprise search, sky search, and the like, associated data of related companies of the webpages can be crawled by a crawler to know the association relationship among the companies, all data in the map are clustered, the data with the common keywords are used for comparison, none of the data are directly taken out for comparison, and the data are classified as abnormal after comparison, which accords with the preset condition.

In the embodiment, whether the name of the buyer on the electronic invoice is normal is determined through keyword comparison, and the keyword is input into the storage unit for storage on one hand, and on the other hand, the identification and judgment of the abnormal account number are performed according to the stored keyword. Further, the information obtaining unit is further configured to obtain all invoices within a predetermined time period, and traverse all invoices to identify and obtain information.

Further, a data capturing unit 30 is included for capturing data related to the company association map in the network. In the embodiment, all the related keywords are obtained through company related map clustering, and further, map data related to a preset company name in a network is captured through a data capture unit, so that the preset keywords are sufficiently supplemented, and the competitor names can be compared as comprehensively as possible.

Further, the system also comprises an exemption setting unit 40, which is used for setting and storing the keywords of exemption judgment, and the comparison unit is free from listing as abnormal when performing traversal comparison and judgment.

In the actual operation process, the situation of a competitor changes in real time, and the situation that the competitive relationship changes occurs, so that an exemption list, namely a white list, can be set, companies which do not have the competitive relationship after the competitive relationship changes are listed in the white list, or companies listed as abnormal can be further screened, and error data which are not abnormal are removed or put into the white list.

In this embodiment, the abnormal account identification generally needs to select an invoice within a predetermined time to determine an abnormal condition, and also needs to identify all information of the acquired invoice, such as a purchaser name, a taxpayer identification number, an invoicing amount, an invoicing time, an invoker, and the like, and store the information.

The system adopts the billing company to search for abnormal conditions, the company can change names in real life, and the company can not search easily if the company changes the names, so that the unique taxpayer identification number which cannot be changed on the current invoice is used as one of judgment standards, and after the information of the abnormal company is stored, the taxpayer identification number can be used for judging the abnormal conditions, thereby increasing the accuracy of the system judgment. Further, with the continuous perfection of the invoice information, other stable information can be adopted to judge the abnormal condition.

As shown in fig. 2, the embodiment further provides an abnormal account identification method based on an electronic invoice, which includes the steps of: acquiring information of all electronic invoices in a preset time period, wherein the information at least comprises a purchaser name;

In the method for identifying the abnormal account number in the embodiment, the electronic invoice is obtained, and the billing company on the electronic invoice is compared with the set keywords, so that whether the keywords same as the competitor exist in the billing company is determined, and the abnormal account number can be determined by judging the competitor according to the real and effective invoice information through the method.

Further, the abnormal account and the keywords are stored.

In this embodiment, after determining an abnormal account, the corresponding abnormal account is stored, so as to facilitate further analysis and confirm the reason for the abnormal condition; and further saving keywords comprising the names of the companies and the names of the corresponding subsidiary companies of the parent company, so that the names of the companies can be directly determined in the subsequent abnormal account number identification process, and more information of the subsidiary companies or the parent company can be supplemented in real time.

In the embodiment, the preset keywords are supplemented, relevant data of relevant companies of the webpages can be crawled by a crawler through querying websites of the set relevant maps of competitor company names, such as enterprise search, sky-eye search and the like, the relevant relations among all companies are known, all data in the maps are clustered, the data with the common keywords are compared, the data without the common keywords are directly taken out for comparison, and the data which accord with the preset condition after comparison are classified as abnormal.

In the embodiment, whether the name of the buyer on the electronic invoice is abnormal is determined through keyword comparison, and the keyword is input to judge the name of the buyer on one hand and is stored on the other hand so as to be convenient for subsequent comparison and use.

Further, the method also comprises the step of capturing data related to the company association map in the network. After the company association graph clustering is inquired, the inquired association graph data is obtained, the preset keywords are sufficiently supplemented, and the competitor names can be comprehensively compared as far as possible.

Further, the method also comprises the following steps: and setting and storing keywords for exemption judgment, and avoiding listing as abnormal when the comparison unit performs traversal comparison and judgment.

In this embodiment, companies that do not have a competitive relationship after the competitive relationship changes are exempted from, and the companies can be screened for abnormalities by setting a white list, and error data that are listed as abnormalities are removed or put into the white list; and timely adjusting and changing the competition relationship.

In this embodiment, the abnormal account identification generally needs to select an invoice within a predetermined time to determine an abnormal condition, and also needs to identify all information of the obtained invoice, such as a purchaser name, a taxpayer identification number, an invoicing amount, an invoicing time, an invoker, and the like, and store the information.

The invention can effectively find out the abnormal users using the company resources by acquiring and judging the information in the electronic invoice issued by the client to determine whether the conditions that the competitor uses the company resources exist.

Fig. 3 shows a schematic structural diagram of an apparatus provided according to an embodiment of the present application.

As shown in fig. 3, as another aspect, the present application also provides an apparatus 300 including one or more Central Processing Units (CPUs) 301 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)302 or a program loaded from a storage section 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the system 300 are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.

The following components are connected to the I/O interface 305: an input portion 306 including a keyboard, a mouse, and the like; an output section 307 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 308 including a hard disk and the like; and a communication section 309 including a network interface card such as a LAN card, a modem, or the like. The communication section 309 performs communication processing via a network such as the internet. A drive 310 is also connected to the I/O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 310 as necessary, so that a computer program read out therefrom is mounted into the storage section 308 as necessary.

In particular, the process described above with reference to fig. 2 may be implemented as a computer software program, according to an embodiment of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing a sorting configuration method. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 309, and/or installed from the removable medium 311. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 501.

It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. 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 of the computer readable storage medium may include, but are not limited to: 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 present invention, 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. In the present invention, however, 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, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. 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.

As yet another aspect, the present application also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus in the above embodiments; or it may be a separate computer readable storage medium not incorporated into the device. The computer-readable storage medium stores one or more programs for use by one or more processors in performing the abnormal account number recognition method described herein.

For example, the electronic device may implement the steps as shown in fig. 2: acquiring information of all electronic invoices in a preset time period, wherein the information at least comprises a purchaser name;

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by a person skilled in the art that the scope of the invention as referred to in the present application is not limited to the embodiments with a specific combination of the above-mentioned features, but also covers other embodiments with any combination of the above-mentioned features or their equivalents without departing from the inventive concept. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims

1. An abnormal account number identification system based on an electronic invoice is characterized by comprising:

2. The electronic invoice-based abnormal account identification system of claim 1, wherein the preset keyword is at least one of a competitor company name keyword, a competitor parent company name keyword, and a competitor subsidiary company keyword.

3. The electronic invoice-based abnormal account identification system according to claim 1 or 2, wherein the preset keywords comprise keywords obtained by company association map clustering and/or comprise keywords set by a preset input.

4. The electronic invoice-based abnormal account identification system according to claim 3, further comprising a data capture unit for capturing data relating to a company association map in a network.

5. The system for identifying abnormal account numbers based on electronic invoices, according to claim 2, further comprising an exemption setting unit for setting and storing keywords for exemption judgment, wherein the comparison unit is free from listing as abnormal when performing traversal comparison and judgment.

6. An abnormal account identification method based on an electronic invoice is characterized by comprising the following steps:

7. The electronic invoice-based abnormal account identification method according to claim 6, wherein the preset keyword is at least one of a competitor company name keyword, a competitor parent company name keyword, and a competitor subsidiary company keyword.

8. The method for identifying abnormal account numbers based on electronic invoices, according to claim 6 or 7, wherein the preset keywords comprise keywords obtained through company association map clustering and/or keywords set through preset input.

9. The method for identifying abnormal account numbers based on electronic invoices, according to claim 8, further comprising capturing data related to company association maps in networks.

10. The method for identifying the abnormal account number based on the electronic invoice of claim 7, further comprising the steps of: and setting and storing keywords for exemption judgment, and avoiding listing as abnormal when the comparison unit performs traversal comparison and judgment.