CN110705235A - Information input method and device for business handling, storage medium and electronic equipment - Google Patents
Information input method and device for business handling, storage medium and electronic equipment Download PDFInfo
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- CN110705235A CN110705235A CN201910853975.1A CN201910853975A CN110705235A CN 110705235 A CN110705235 A CN 110705235A CN 201910853975 A CN201910853975 A CN 201910853975A CN 110705235 A CN110705235 A CN 110705235A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application relates to a method, a device, a storage medium and electronic equipment for inputting information for service handling, belonging to the technical field of service process optimization, wherein the method comprises the following steps: receiving a plurality of scanning files uploaded by a user and used for a target service; performing service association on the plurality of scanning files and a plurality of target service nodes of the target service respectively to obtain a service association relation of each scanning file; acquiring a preset information input template corresponding to each business incidence relation; acquiring the service attribute of the service incidence relation corresponding to each preset information entry template in the target service, and reconstructing the preset information entry template according to the service attribute to obtain the information entry template of each scanning file; and acquiring target input information of each scanning file according to each information input template, and inputting a target input position. The method and the device can automatically, accurately and efficiently collect and input the information of the corresponding node according to different service nodes to a certain extent.
Description
Technical Field
The application relates to the technical field of business process optimization, in particular to a business handling information input method and device, a storage medium and electronic equipment.
Background
The information input is a process of inputting information required by various services to a specified position in a service handling process, different information is generally input at different service nodes in the process of handling a certain service, and different information is input at different service content parts of the same service node.
At present, in the process of handling a service, when information entry is required, due to the diversity of information requirements, for example, different information needs to be entered at different service nodes of the service in many cases, and different information needs to be entered at different service contents of the same service node. This can cause difficulties in information retrieval and retrieval. Therefore, in the prior art, when information of a certain service is recorded, the information is inconvenient to obtain, and the recording efficiency is low and the error rate is high.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present application and therefore may include information that does not constitute prior art known to a person of ordinary skill in the art.
Disclosure of Invention
The application aims to provide an information input scheme for business handling, and then the information of corresponding nodes is automatically, accurately and efficiently acquired and input according to different business nodes at least to a certain extent.
According to one aspect of the application, an information entry method for business handling is provided, which comprises the following steps:
receiving a plurality of scanning files uploaded by a user and used for a target service;
performing service association on the plurality of scanning files and a plurality of target service nodes of the target service respectively to obtain a service association relation of each scanning file;
acquiring a preset information input template corresponding to each business incidence relation according to the business incidence relation of each scanning file;
acquiring the service attribute of the service incidence relation corresponding to each preset information input template in the target service, and reconstructing the preset information input template according to the service attribute to obtain the information input template of the scanning file corresponding to each service incidence relation;
and acquiring target input information of the scanning file corresponding to each information input template according to each information input template, and inputting a target input position.
In an exemplary embodiment of the present application, the performing service association between the multiple scan files and multiple target service nodes of the target service respectively to obtain a service association relationship of each scan file includes:
acquiring a plurality of target service node information needing information input through a scanning file in the target service;
and respectively carrying out service association on the plurality of scanning files and the plurality of target service nodes according to the plurality of target service node information to obtain a service association relation of each scanning file.
In an exemplary embodiment of the present application, the performing, according to the information of the target service nodes, service association between the plurality of scan files and the plurality of target service nodes, to obtain a service association relationship of each scan file includes:
respectively acquiring the keywords of each scanning file;
respectively acquiring a service key word of each target service node from the information of the plurality of target service nodes;
respectively comparing the keywords of each scanned file with the service keywords of each target service node to obtain service keywords related to the keywords of each scanned file;
and acquiring the business association relation of each scanned file according to the business keywords associated with the keywords of each scanned file.
In an exemplary embodiment of the application, the respectively obtaining the keywords of each of the scan files includes:
recognizing characters of each scanning file through optical characters;
and comparing the preset keywords with the characters of each scanned file to obtain the keywords of each scanned file.
In an exemplary embodiment of the present application, the obtaining a business association relationship of each scanned file according to a business keyword associated with the keyword of each scanned file includes:
acquiring a related target service node of each scanning file according to the service keyword related to the keyword of each scanning file;
and taking the association relation between each scanning file and the corresponding associated target service node as the service association relation of each scanning file.
In an exemplary embodiment of the present application, the acquiring, according to each information entry template, target entry information of a scan file corresponding to each information entry template, and entering a target entry position includes:
acquiring target input information of the scanning file corresponding to each information input template according to each information input template;
acquiring an information input position associated with each information input template as a target input position of target input information of the scanning file corresponding to each information input template;
and inputting the target input information of the scanning file corresponding to each information input template into a target input position.
In one exemplary embodiment of the present application, obtaining an information entry location associated with each of the information entry templates comprises:
acquiring the identification of each information input template;
and based on the identification, searching the identification from a preset position comparison table to obtain an information entry position corresponding to the identification.
According to one aspect of the application, an information input device for business transaction is provided, which is characterized by comprising:
the receiving module is used for receiving a plurality of scanning files which are uploaded by a user and used for target business;
the association module is used for respectively carrying out service association on the plurality of scanning files and a plurality of target service nodes of the target service to obtain a service association relation of each scanning file;
the acquisition module is used for acquiring a preset information input template corresponding to each business incidence relation according to the business incidence relation of each scanning file;
the reconstruction module is used for acquiring the service attribute of the service incidence relation corresponding to each preset information input template in the target service, reconstructing the preset information input template according to the service attribute, and acquiring the information input template of the scanning file corresponding to each service incidence relation;
and the input module is used for acquiring target input information of the scanning file corresponding to each information input template according to each information input template and inputting a target input position.
According to one aspect of the application, there is provided a computer-readable storage medium having a business-transacted information entry program stored thereon, wherein the business-transacted information entry program, when executed by a processor, implements the method of any of the above.
According to an aspect of the present application, there is provided an electronic device, comprising:
a processor; and
the memory is used for storing the information input program for the business transaction of the processor; wherein the processor is configured to perform any of the methods described above via an information entry program performing the business transaction.
The application relates to an information input method and device for service handling, which comprises the steps of firstly, receiving a plurality of scanning files which are uploaded by a user and used for target services; the information acquisition source can be conveniently uploaded by scanning the file. Then, respectively carrying out service association on the plurality of scanning files and a plurality of target service nodes of the target service to obtain a service association relation of each scanning file; therefore, the scanning file of the service information source required by each service node, namely the service association relation, can be accurately acquired. Further, acquiring a preset information input template corresponding to each business incidence relation according to the business incidence relation of each scanning file; namely, an algorithm template corresponding to each business incidence relation and used for crawling information from the scanned file is obtained. Then, acquiring the service attribute of the service incidence relation corresponding to each preset information input template in the target service, and reconstructing the preset information input template according to the service attribute to obtain the information input template of the scanning file corresponding to each service incidence relation; the method comprises the steps of performing algorithm reconstruction on a preset information entry template according to the attribute of information to be acquired in a corresponding service node according to each service association relationship, namely adjusting the coefficient of the algorithm template and the like to obtain the information entry template. And then according to each information entry template, acquiring target entry information of the scanning file corresponding to each information entry template, and entering a target entry position. Therefore, the service information of different service contents of each service node can be automatically, accurately and efficiently acquired based on the service association relation, and the service handling efficiency is effectively improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 schematically shows a flow chart of a method of information entry for business transactions.
Fig. 2 schematically shows an exemplary application scenario of an information entry method for business handling.
Fig. 3 schematically shows a flowchart of a service association relationship obtaining method.
Fig. 4 schematically shows a block diagram of a business transaction information entry device.
Fig. 5 schematically shows an example block diagram of an electronic device for implementing the above-described information entry method for transaction processing.
Fig. 6 schematically illustrates a computer-readable storage medium for implementing the above-described information entry method for business transaction.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present application.
Furthermore, the drawings are merely schematic illustrations of the present application and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
In the present exemplary embodiment, a service transacted information entry method is first provided, and the service transacted information entry method may be executed on a server, or may also be executed on a server cluster or a cloud server, and the like. Referring to fig. 1, the information entry method for transaction processing may include the following steps:
step S110, receiving a plurality of scanning files uploaded by a user and used for target business;
step S120, respectively performing service association on the plurality of scanning files and a plurality of target service nodes of the target service to obtain a service association relation of each scanning file;
step S130, acquiring a preset information input template corresponding to each business incidence relation according to the business incidence relation of each scanning file;
step S140, acquiring the service attribute of the service incidence relation corresponding to each preset information input template in the target service, and reconstructing the preset information input template according to the service attribute to obtain the information input template of the scanning file corresponding to each service incidence relation;
and S150, acquiring target input information of the scanning file corresponding to each information input template according to each information input template, and inputting a target input position.
In the information input method for service handling, firstly, a plurality of scanning files for target service uploaded by a user are received; the information acquisition source can be conveniently uploaded by scanning the file. Then, respectively carrying out service association on the plurality of scanning files and a plurality of target service nodes of the target service to obtain a service association relation of each scanning file; therefore, the scanning file of the service information source required by each service node, namely the service association relation, can be accurately acquired. Further, acquiring a preset information input template corresponding to each business incidence relation according to the business incidence relation of each scanning file; namely, an algorithm template corresponding to each business incidence relation and used for crawling information from the scanned file is obtained. Then, acquiring the service attribute of the service incidence relation corresponding to each preset information input template in the target service, and reconstructing the preset information input template according to the service attribute to obtain the information input template of the scanning file corresponding to each service incidence relation; the method comprises the steps of performing algorithm reconstruction on a preset information entry template according to the attribute of information to be acquired in a corresponding service node according to each service association relationship, namely adjusting the coefficient of the algorithm template and the like to obtain the information entry template. And then according to each information entry template, acquiring target entry information of the scanning file corresponding to each information entry template, and entering a target entry position. Therefore, the service information of different service contents of each service node can be automatically, accurately and efficiently acquired based on the service association relation, and the service handling efficiency is effectively improved.
Hereinafter, each step in the above-described information entry method for business transaction in the present exemplary embodiment will be explained and explained in detail with reference to the drawings.
In step S110, a plurality of scan files uploaded by a user for a target service are received.
In the embodiment of the present example, referring to fig. 2, a server 201 receives a plurality of scan files for a target service uploaded to a server 202 by a user. This allows information to be retrieved from multiple scan files by the server 201 in subsequent steps, depending on the transaction. It is understood that, in the subsequent steps, if conditions allow, the server 202 may also obtain information from a plurality of scanned files according to the business transaction condition. The server 201 may be any device having a processing capability, such as a computer, a microprocessor, etc., without any specific limitation, and the server 202 may be any device having an instruction sending capability and a data storage capability, such as a mobile phone, a computer, etc., without any specific limitation.
The target service is a service that the user wants to handle, such as an insurance application service or an insurance claim settlement service. The plurality of scanning files for the target service are scanning files which are set according to service requirements of the target service and need to be uploaded, for example, a plurality of scanning files for information entry required by all service processes when insurance claims are transacted, wherein all service processes are processes for completing transacting of nodes such as application nodes, verification nodes and auditing nodes. By receiving a plurality of scanning files of user target service uploaded by a user as information sources, target information can be conveniently obtained in subsequent steps, and the information input efficiency is effectively ensured.
In step S120, the multiple scan files are respectively associated with multiple target service nodes of the target service, so as to obtain a service association relationship of each scan file.
In the embodiment of the present example, the service association is a process of determining a service node for which the scan file is used and an association relationship with a specific service content item in the service node. The plurality of scanning files are respectively associated with the target service node of the target service, so that the service content item of the service node associated with each scanning file, namely the service association relation of each scanning file, can be obtained. For example, the bank card scan file is associated with a bank card number entry of the payment node. In an example, the service association method may be that the scanned files are used as input data and target service identification data, and the machine learning model trained in advance is input to obtain the service association relationship of each scanned file.
In an implementation manner of this example, performing service association between the multiple scan files and multiple target service nodes of the target service, respectively, to obtain a service association relationship of each scan file includes:
acquiring a plurality of target service node information needing information input through a scanning file in the target service;
and respectively carrying out service association on the plurality of scanning files and the plurality of target service nodes according to the plurality of target service node information to obtain a service association relation of each scanning file.
The target service typically includes a plurality of service nodes, only some of which may be entered via scanned files, and others of which include those that do not require or require manual entry of information. For example, the situation description node requires the user to manually fill in information when entering insurance claim information. The method comprises the steps of obtaining a plurality of target service node information needing to be subjected to information input through a scanning file in a target service, wherein the plurality of target service nodes needing to be subjected to information input through the scanning file can be preset, and then respectively carrying out service association on the plurality of scanning files and the plurality of target service nodes according to the plurality of target service node information to obtain a service association relation of each scanning file. Therefore, the time of service association can be effectively saved, and the efficiency of service association is improved.
In an embodiment of this example, referring to fig. 3, performing service association on the multiple scan files and the multiple target service nodes according to the multiple target service node information, to obtain a service association relationship of each scan file, includes:
step 310, respectively obtaining the keywords of each scanning file;
step 320, obtaining a service keyword of each target service node from the information of the plurality of target service nodes respectively;
step 330, comparing the keywords of each scanned file with the service keywords of each target service node to obtain service keywords associated with the keywords of each scanned file;
step 340, obtaining the business association relation of each scanned file according to the business keyword associated with the keyword of each scanned file.
The keywords of each scanned document are keywords such as a document name obtained from the scanned document, for example, the keywords of the scanned document of the identification card may be an "identification card". The obtaining method may be that image recognition is performed to compare the scanned file sample image with a scanned file sample image stored in a database in advance, and when the similarity between the scanned file and the scanned file sample exceeds a predetermined threshold, a keyword corresponding to the scanned file sample is used as a keyword of the corresponding scanned file.
The service key words of each target service node are preset service content key words of the service node, for example, when an identity card number needs to be filled in a certain service node, the key words are set as follows: an "identity card number", wherein the service key of each service node may be at least one, e.g., 1-5, etc. Each target service node has corresponding target service node information, the target service node information is stored in a database in advance, and the service key words of the target service nodes can be searched from each target service node information.
Then, the keyword of each scanned file is compared with the service keyword of each target service node, so as to obtain the service keyword associated with the keyword of each scanned file, and further obtain the service association relationship of each scanned file, for example, the identity card scanning component can obtain the service association relationship "identity card-identity card number", "identity card-identity card address", and the like. Therefore, the incidence relation between the target information and the target service content in each scanning file, namely the service incidence relation, can be accurately obtained.
In an embodiment of this example, the obtaining the keywords of each scan file separately includes:
recognizing characters of each scanning file through optical characters;
and comparing the preset keywords with the characters of each scanned file to obtain the keywords of each scanned file.
The text content on each scanned file can be accurately acquired through optical character recognition, and then the keywords of each scanned file can be accurately acquired through comparing the preset keywords with the text of each scanned file. For example, a character including several characters of a license can be obtained by scanning the license scanner, and then the keyword "license" of the license scanner can be accurately obtained by comparing the preset keyword "license".
In an implementation manner of this example, obtaining the business association relationship of each scanned file according to the business keyword associated with the keyword of each scanned file includes:
acquiring a related target service node of each scanning file according to the service keyword related to the keyword of each scanning file;
and taking the association relation between each scanning file and the corresponding associated target service node as the service association relation of each scanning file.
A service node may be associated with multiple scan files, and each scan file may be associated with multiple service nodes, for example, two service nodes may need to enter a user name. According to the business keywords associated with the keywords of each scanned file, the associated target business node of each scanned file can be accurately obtained, and further, the association relationship between each scanned file and the corresponding associated target business node, namely the business association relationship of each scanned file, is obtained. For example, the identity card scanning component can obtain the business association relationship "identity card-identity card number", "identity card-identity card address", and the like. Therefore, the incidence relation between the target information and the target service content in each scanning file, namely the service incidence relation, can be accurately obtained. The accuracy of the information input of the scanned file can be effectively ensured through the incidence relation.
In step S130, according to the service association relationship of each scanned file, a preset information entry template corresponding to each service association relationship is obtained.
In the embodiment of the present example, the preset information entry template is a preset information entry algorithm template corresponding to each business association relationship and used for acquiring target entry information from a scanned file, where the algorithm template includes, for example, an algorithm template that first acquires a boundary contour of a scanned image of, for example, an identification card in the scanned file through a contour contrast recognition algorithm, then acquires a local image by locating a target position in the scanned image, and finally recognizes characters of the local image of the book through optical characters. Each scan file may include multiple business associations, but each business association is unique. Therefore, the preset information entry template corresponding to each business incidence relation of each scanning file can be accurately obtained, and further the target entry information can be accurately obtained in the subsequent steps.
In step S140, a service attribute of the service association relationship corresponding to each preset information entry template in the target service is obtained, and the preset information entry template is reconstructed according to the service attribute, so as to obtain an information entry template of the scan file corresponding to each service association relationship.
In the embodiment of the present example, since the preset information entry template is an algorithm template, information in the scanned file may be acquired, but the entry information corresponding to the target service is lacking, for example, an identity card number needs to be entered at a certain service node while the identity card number needs to be superimposed with other information, or certain collected information needs to be preprocessed into information required by the current target service. The service attribute is the input information required by the service association relation in the target service.
And acquiring the service attribute of the service incidence relation corresponding to each preset information input template in the target service, and reconstructing the preset information input template according to the service attribute, namely combining the preset information input template with a preset reconstruction function and the like corresponding to the service attribute of the service incidence relation of the current target service to form the information input template suitable for the current target service. The business attributes of the same business incidence relation corresponding to different target businesses may be different, so that the corresponding information entry templates can be flexibly obtained according to different businesses, and further the required entry information can be accurately and efficiently obtained in the subsequent steps.
In step S150, according to each information entry template, target entry information of the scan file corresponding to each information entry template is acquired, and a target entry position is entered.
In the embodiment of the example, each information entry template can acquire corresponding entry information from a corresponding scan file, so that the information can be accurately entered into an entry position corresponding to the target entry information after the target entry information is acquired. The business incidence relation corresponding to each information input template is associated with an input position in advance, and then the input position corresponding to the target input information can be accurately obtained according to the input information template, and further the target input information is accurately input into the target input position. Therefore, the information input can be conveniently and accurately realized only by uploading the scanning file required by the service at one time according to the preset requirement before the service is handled, and the efficiency of the information input is effectively ensured.
In an embodiment of this example, acquiring, according to each information entry template, target entry information of a scan file corresponding to each information entry template, and entering a target entry location, includes:
acquiring target input information of the scanning file corresponding to each information input template according to each information input template;
acquiring an information input position associated with each information input template as a target input position of target input information of the scanning file corresponding to each information input template;
and inputting the target input information of the scanning file corresponding to each information input template into a target input position.
In one embodiment of this example, obtaining an information entry location associated with each of the information entry templates comprises:
acquiring the identification of each information input template;
and based on the identification, searching the identification from a preset position comparison table to obtain an information entry position corresponding to the identification.
The identification of the information input template is an identity label added in advance for each information input template; and the preset position comparison table is configured with the association relationship between each identifier and the input position information. Based on the identification, the identification is searched from a preset position comparison table, and the information entry position corresponding to the identification can be obtained.
In an embodiment of this example, after the obtaining, according to each of the information entry templates, target entry information of the scan file corresponding to each of the information entry templates and entering a target entry location, the method further includes:
and respectively storing all the scanning files in the storage positions associated with the business association relation corresponding to each scanning file.
Therefore, the scanned file can be used as a file backup and accurately stored in association with the target service.
In an embodiment of this example, before receiving a plurality of scan files for a target service uploaded by a user, the method further includes:
when it is monitored that a user triggers a target service, a scanned file uploading prompt of the target service is sent to the user, so that the user uploads a plurality of scanned files required for handling the target service according to the uploading prompt.
The scanned file uploading prompt of the target service comprises the requirements of the target service on the scanned file which needs to be uploaded and can be used for information input, a corresponding file format and the like; when the condition that the user triggers the target service is monitored, a scanned file uploading prompt of the target service is sent to the user, the user can be guaranteed to upload the scanned file meeting the requirement at one time, and the information input efficiency is effectively guaranteed.
The application also provides an information input device for business handling. Referring to fig. 4, the information entry device for business transaction may include a receiving module 410, an associating module 420, an obtaining module 430, a reconstructing module 440, and an entry module 450. Wherein:
the receiving module 410 may be configured to receive a plurality of scan files uploaded by a user for a target service;
the association module 420 may be configured to perform service association on the multiple scan files and multiple target service nodes of the target service, respectively, to obtain a service association relationship of each scan file;
the obtaining module 430 may be configured to obtain a preset information entry template corresponding to each service incidence relation according to the service incidence relation of each scanned file;
the reconstruction module 440 may be configured to obtain a service attribute of a service association relationship corresponding to each preset information entry template in the target service, and reconstruct the preset information entry template according to the service attribute to obtain an information entry template of a scan file corresponding to each service association relationship;
the entry module 450 may be configured to obtain, according to each information entry template, target entry information of the scan file corresponding to each information entry template, and enter a target entry position.
The specific details of each module in the information entry device for business transaction have been described in detail in the corresponding information entry method for business transaction, and therefore are not described herein again.
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 application. 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 herein 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. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.
In an exemplary embodiment of the present application, there is also provided an electronic device capable of implementing the above method.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 500 according to this embodiment of the invention is described below with reference to fig. 5. The electronic device 500 shown in fig. 5 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the electronic device 500 is embodied in the form of a general purpose computing device. The components of the electronic device 500 may include, but are not limited to: the at least one processing unit 510, the at least one memory unit 520, and a bus 530 that couples various system components including the memory unit 520 and the processing unit 510.
Wherein the storage unit stores program code that is executable by the processing unit 510 to cause the processing unit 510 to perform steps according to various exemplary embodiments of the present invention as described in the above section "exemplary methods" of the present specification. For example, the processing unit 510 may execute step S110 as shown in fig. 1: receiving a plurality of scanning files uploaded by a user and used for a target service; s120: performing service association on the plurality of scanning files and a plurality of target service nodes of the target service respectively to obtain a service association relation of each scanning file; step S130: acquiring a preset information input template corresponding to each business incidence relation according to the business incidence relation of each scanning file; step S140: acquiring the service attribute of the service incidence relation corresponding to each preset information input template in the target service, and reconstructing the preset information input template according to the service attribute to obtain the information input template of the scanning file corresponding to each service incidence relation; step S150: and acquiring target input information of the scanning file corresponding to each information input template according to each information input template, and inputting a target input position.
The memory unit 520 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM)5201 and/or a cache memory unit 5202, and may further include a read only memory unit (ROM) 5203.
Storage unit 520 may also include a program/utility 5204 having a set (at least one) of program modules 5205, such program modules 5205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Bus 530 may be one or more of any of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 500 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a client to interact with the electronic device 500, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 500 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 550. Also, the electronic device 500 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 560. As shown, the network adapter 560 communicates with the other modules of the electronic device 500 over the bus 530. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
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. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) execute the method according to the embodiments of the present application.
In an exemplary embodiment of the present application, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
Referring to fig. 6, a program product 600 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a 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.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A 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 readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.
A computer readable signal medium may include a propagated data signal with 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 readable signal medium may also be any readable medium that is not a 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 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.
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, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the client computing device, partly on the client device, as a stand-alone software package, partly on the client computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the client computing device over any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., over the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
Claims (10)
1. A business transaction information input method is characterized by comprising the following steps:
receiving a plurality of scanning files uploaded by a user and used for a target service;
performing service association on the plurality of scanning files and a plurality of target service nodes of the target service respectively to obtain a service association relation of each scanning file;
acquiring a preset information input template corresponding to each business incidence relation according to the business incidence relation of each scanning file;
acquiring the service attribute of the service incidence relation corresponding to each preset information input template in the target service, and reconstructing the preset information input template according to the service attribute to obtain the information input template of the scanning file corresponding to each service incidence relation;
and acquiring target input information of the scanning file corresponding to each information input template according to each information input template, and inputting a target input position.
2. The method according to claim 1, wherein the performing service association between the plurality of scan files and a plurality of target service nodes of the target service respectively to obtain a service association relationship of each scan file comprises:
acquiring a plurality of target service node information needing information input through a scanning file in the target service;
and respectively carrying out service association on the plurality of scanning files and the plurality of target service nodes according to the plurality of target service node information to obtain a service association relation of each scanning file.
3. The method according to claim 2, wherein the performing service association between the plurality of scan files and the plurality of target service nodes according to the information of the plurality of target service nodes to obtain a service association relationship of each scan file comprises:
respectively acquiring the keywords of each scanning file;
respectively acquiring a service key word of each target service node from the information of the plurality of target service nodes;
respectively comparing the keywords of each scanned file with the service keywords of each target service node to obtain service keywords related to the keywords of each scanned file;
and acquiring the business association relation of each scanned file according to the business keywords associated with the keywords of each scanned file.
4. The method according to claim 3, wherein the obtaining the keywords of each of the scan files respectively comprises:
recognizing characters of each scanning file through optical characters;
and comparing the preset keywords with the characters of each scanned file to obtain the keywords of each scanned file.
5. The method according to claim 3, wherein the obtaining the business association relationship of each scanned file according to the business keyword associated with the keyword of each scanned file comprises:
acquiring a related target service node of each scanning file according to the service key word related to the key word of each scanning file;
and taking the association relation between each scanning file and the corresponding associated target service node as the service association relation of each scanning file.
6. The method according to claim 1, wherein said obtaining, according to each of said information entry templates, target entry information for the scan file corresponding to each of said information entry templates and entering a target entry location comprises:
acquiring target input information of the scanning file corresponding to each information input template according to each information input template;
acquiring an information input position associated with each information input template as a target input position of target input information of the scanning file corresponding to each information input template;
and inputting the target input information of the scanning file corresponding to each information input template into a target input position.
7. The method of claim 1, wherein obtaining an information entry location associated with each of the information entry templates comprises:
acquiring the identification of each information input template;
and based on the identification, searching the identification from a preset position comparison table to obtain an information entry position corresponding to the identification.
8. An information entry device for business transaction, comprising:
the receiving module is used for receiving a plurality of scanning files which are uploaded by a user and used for target business;
the association module is used for respectively carrying out service association on the plurality of scanning files and a plurality of target service nodes of the target service to obtain a service association relation of each scanning file;
the acquisition module is used for acquiring a preset information input template corresponding to each business incidence relation according to the business incidence relation of each scanning file;
the reconstruction module is used for acquiring the service attribute of the service incidence relation corresponding to each preset information input template in the target service, reconstructing the preset information input template according to the service attribute, and acquiring the information input template of the scanning file corresponding to each service incidence relation;
and the input module is used for acquiring target input information of the scanning file corresponding to each information input template according to each information input template and inputting a target input position.
9. A computer-readable storage medium having a business-transacted information entry program stored thereon, wherein the business-transacted information entry program, when executed by a processor, implements the method of any one of claims 1-7.
10. An electronic device, comprising:
a processor; and
the memory is used for storing the information input program for the business transaction of the processor; wherein the processor is configured to perform the method of any of claims 1-7 via an information entry program performing the business transaction.
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