CN111242788A - Service data processing method and device, storage medium and computer equipment - Google Patents
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Abstract
The invention discloses a business data processing method, a business data processing device, a storage medium and computer equipment, relates to the technical field of information, and mainly aims to solve the problems of low business processing efficiency, low accuracy of business processing results and high labor cost. The method comprises the following steps: acquiring a service data processing request and correspondingly uploaded image information; identifying application user information in the image information and corresponding service detail data to be accounted; judging whether target data meeting the limiting conditions corresponding to the business detail data exist in historical data corresponding to the application user information; if the target data does not exist, judging whether a service type corresponding to the service detail data exists in a preset service type table or not; and if the business type corresponding to the business detail data exists, performing accounting processing on the business detail data according to a preset business processing rule corresponding to the business type. The invention is suitable for processing the service data.
Description
Technical Field
The present invention relates to the field of information technologies, and in particular, to a method and an apparatus for processing service data, a storage medium, and a computer device.
Background
With the continuous development of information technology, a user can apply for handling related services through an internet platform without leaving the home, and a service party performs service processing according to service information uploaded by the user and feeds back a service processing result to the user, thereby bringing convenience to the user.
At present, the processing of user service information is basically completed by service personnel, however, the manual processing mode requires the service personnel to have rich service processing experience, and with the complexity of a service processing flow, it is difficult to ensure that the service personnel do not have errors, so that the labor cost and the time cost are increased, the service processing efficiency is low, and the accuracy of a service processing result is low.
Disclosure of Invention
The invention provides a service processing method, a service processing device, a storage medium and computer equipment, which mainly solve the problems of low service processing efficiency, low accuracy of service processing results and high labor cost.
According to a first aspect of the present invention, a method for processing service data is provided, which includes:
acquiring a service data processing request and correspondingly uploaded image information;
identifying application user information in the image information and corresponding service detail data to be accounted;
judging whether target data meeting the limiting conditions corresponding to the business detail data exist in historical data corresponding to the application user information, wherein the occurrence time point of an event corresponding to the target data is earlier than the acquisition time point of a business corresponding to the business detail data;
if the target data does not exist, judging whether a service type corresponding to the service detail data exists in a preset service type table or not;
and if the business type corresponding to the business detail data exists, performing accounting processing on the business detail data according to a preset business processing rule corresponding to the business type.
Optionally, the identifying the application user information in the image information and the corresponding service detail data to be accounted includes:
identifying the position information and the category information of each target field in the image information by using a preset character detection model;
and identifying the application user information and the service detail data in the target field by using a preset data information identification model according to the position information and the category information.
Optionally, the identifying, by using a preset character detection model, the position information and the category information of each target field in the image information includes:
inputting the image information into a convolutional neural network in the preset character detection model for feature extraction, and determining a feature vector corresponding to the image information;
inputting the feature vector corresponding to the image information into a candidate area network in the preset character detection model for boundary frame extraction, generating a to-be-detected area corresponding to each target field in the image information, and determining the position information of each target field according to each to-be-detected area;
extracting the characteristics of each region to be detected by using the ROI pooling layer in the preset character detection model to obtain characteristic vectors corresponding to each region to be detected;
and classifying the feature vectors corresponding to the regions to be detected by using a support vector machine in the preset character detection model to obtain class information corresponding to the target fields.
Optionally, the performing accounting processing on the service detail data according to a preset service processing rule corresponding to the service category includes:
determining a preset time requirement and an accounting formula corresponding to the service detail data according to the preset service processing rule;
judging whether the time information in the service detail data meets the preset time requirement or not;
and if the preset time requirement is met, performing accounting processing on the service detail data according to the accounting formula.
Optionally, the performing accounting processing on the service detail data according to the accounting formula includes:
sequencing the service detail data meeting the preset time requirement according to the sequence of the time information;
and according to the sequencing sequence of the service detail data, performing accounting processing on the service detail data according to the accounting formula.
Optionally, after the determining whether the service category corresponding to the service detail data exists in the preset service category table, the method further includes:
and if the service type corresponding to the service detail data does not exist, sending prompt information for refusing accounting processing to the service personnel terminal.
According to a second aspect of the present invention, there is provided a service data processing apparatus, comprising:
the acquisition unit is used for acquiring a service data processing request and correspondingly uploaded image information;
the identification unit is used for identifying the application user information in the image information and corresponding service detail data to be accounted;
a first judging unit, configured to judge whether there is target data meeting a restriction condition corresponding to the service detail data in history data corresponding to the application user information, where an occurrence time point of an event corresponding to the target data is earlier than an acquisition time point of a service corresponding to the service detail data;
a second judging unit, configured to judge whether a service category corresponding to the service detail data exists in a preset service category table if the target data does not exist;
and the accounting unit is used for performing accounting processing on the service detail data according to a preset service processing rule corresponding to the service type if the service type corresponding to the service detail data exists.
Optionally, the identification unit is specifically configured to identify position information and category information of each target field in the image information by using a preset character detection model;
the identification unit is further specifically configured to identify the application user information and the service detail data in the target field by using a preset data information identification model according to the location information and the category information.
Optionally, the identification unit includes: an extraction module, a generation module and a classification module,
the extraction module is used for inputting the image information into a convolutional neural network in the preset character detection model for feature extraction, and determining a feature vector corresponding to the image information;
the generating module is configured to input the feature vector corresponding to the image information to a candidate area network in the preset character detection model to perform bounding box extraction, generate to-be-detected areas corresponding to each target field in the image information, and determine position information of each target field according to each to-be-detected area;
the extraction module is further configured to perform feature extraction on each to-be-detected region by using the ROI pooling layer in the preset character detection model to obtain a feature vector corresponding to each to-be-detected region;
and the classification module is used for classifying the feature vectors corresponding to the regions to be detected by using a support vector machine in the preset character detection model to obtain the class information corresponding to the target fields.
Optionally, the accounting unit includes: a determining module, a judging module and an accounting module,
the determining module is used for determining a preset time requirement and an accounting formula corresponding to the service detail data according to the preset service processing rule;
the judging module is used for judging whether the time information in the service detail data meets the preset time requirement or not;
and the accounting module is used for performing accounting processing on the service detail data according to the accounting formula if the service detail data meets the preset time requirement.
Optionally, the accounting module comprises: a sorting submodule and a kernel operator module,
the sequencing submodule is used for sequencing the service detail data meeting the preset time requirement according to the sequence of the time information;
and the operator checking module is used for checking the business detail data according to the sorting sequence of the business detail data and the checking formula.
Optionally, the apparatus further comprises a sending unit,
and the sending unit is used for sending prompt information for refusing accounting processing to the service personnel terminal if the service type corresponding to the service detail data does not exist.
Compared with the current mode of manually processing service data, the service data processing method, the device, the storage medium and the computer equipment can acquire a service data processing request and correspondingly uploaded image information; identifying the application user information in the image information and corresponding service detail data to be accounted; in addition, whether target data meeting the limiting conditions corresponding to the business detail data exists in historical data corresponding to the application user information is judged, wherein the occurrence time point of the event corresponding to the target data is earlier than the acquisition time point of the business corresponding to the business detail data; meanwhile, if the target data does not exist, judging whether a service type corresponding to the service detail data exists in a preset service type table or not; and if the business type corresponding to the business detail data exists, performing accounting processing on the business detail data according to a preset business processing rule corresponding to the business type, so that the business data processing efficiency can be improved, the business processing timeliness is ensured, the accuracy of a business processing result is improved, and the labor cost is reduced.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
The invention will be more clearly understood from the following detailed description, taken with reference to the accompanying drawings, in which:
fig. 1 shows a flowchart of a service data processing method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating another service data processing method according to an embodiment of the present invention;
fig. 3 shows a process diagram of claims responsibility determination provided by the embodiment of the invention;
FIG. 4 is a flow chart illustrating a process for determining whether a bill is payable according to an embodiment of the present invention;
FIG. 5 illustrates a flow chart of bill accounting as provided by an embodiment of the present invention;
fig. 6 is a schematic structural diagram illustrating a service data processing apparatus according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of another service data processing apparatus provided in an embodiment of the present invention;
fig. 8 shows a physical structure diagram of a computer device according to an embodiment of the present invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Embodiments of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known computing systems, environments, and/or configurations that may be suitable for use with the computer system/server include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set top boxes, programmable consumer electronics, network pcs, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above systems, and the like.
The computer system/server may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
As background technology, the current manual service data processing method has high requirements on service processing experience of service personnel, and is difficult to ensure that the service personnel do not have errors, thereby causing low service data processing efficiency, low accuracy of service processing results, and increased labor and time costs.
In order to solve the above problem, an embodiment of the present invention provides a method for processing service data, as shown in fig. 1, where the method includes:
101. and acquiring a service data processing request and correspondingly uploaded image information.
The embodiment of the invention provides a business data processing platform, which can be used for carrying out accounting processing on business detail data and feeding back an accounting result to a business personnel terminal, so that the processing efficiency of the business data is improved, the accuracy of the business processing result is ensured, the workload of the business personnel is reduced, for the embodiment of the invention, an execution main body is the business data processing platform, when the business data processing platform receives a business data processing request, the image information of application materials uploaded by a user can be obtained, and the image information records the application user information and the business detail data, by identifying the image information, the application user information and the service detail data uploaded by the user can be acquired so as to perform accounting processing on the application user information and the service detail data.
102. And identifying the application user information in the image information and corresponding service detail data to be accounted.
The application user information comprises user identity information and application service information, the application service information comprises historical data of a user and the current application data, and the service detail data is bill data corresponding to the application service information. Specifically, when a user initiates a service processing request, corresponding image information is uploaded, the image information records application user information and service detail data, and the application user information and the service detail data in the image information are identified by using a preset image identification algorithm.
103. And judging whether target data meeting the limiting conditions corresponding to the business detail data exist in the historical data corresponding to the application user information.
Wherein the occurrence time point of the event corresponding to the target data is earlier than the acquisition time point of the service corresponding to the service detail data, for the embodiment of the invention, the application user information and the service detail data uploaded or filled by the user may have risks, therefore, before the business detail data is subjected to accounting processing, risk elimination needs to be performed on the application user information and the business detail data of the user, specifically, the application user information includes historical data, whether the historical data is the target data of the business detail data corresponding to the limiting conditions is judged, and the time of the event corresponding to the target data is earlier than the time point of acquiring the service corresponding to the service detail data, if the historical data is the target data of the service detail data corresponding to the limiting conditions, determining that the application user information and the service detail data have risks, and sending prompt information for refusing accounting processing to the service personnel terminal; if the historical data is not the target data of the limiting conditions corresponding to the business detail data, it is determined that no risk exists in the user application information and the business detail data, and accounting processing can be performed on the user application information and the business detail data.
For example, in the insurance claim settlement accounting, the application user information specifically includes user identity information and hospitalization information, wherein the hospitalization information includes historical data of the user and the hospitalization information of the time, the business detail data is the bill data of the hospitalization of the user of the time, the target data specifically has an association relationship with the etiology of the hospitalization information of the user of the time, and the occurrence time is earlier than the historical data of the hospitalization of the user of the time, if the historical data of the user has an association relationship with the etiology of the hospitalization information of the time and the occurrence time of the historical data is earlier than the time point of the bill data of the hospitalization of the time of the user of the time, it is determined that the target data meeting the restriction condition corresponding to the business detail data exists in the historical data of the user of the time, that the bill data of the hospitalization of; if the historical data of the user does not have an association relation with the etiology in the current hospitalization information, it is determined that target data meeting the restriction condition corresponding to the business detail data does not exist in the historical data of the user, that is, the bill data of the user in the hospital does not have a risk, and a claim can be paid.
104. And if the target data does not exist, judging whether a service type corresponding to the service detail data exists in a preset service type table or not.
For the embodiment of the present invention, if there is no target data meeting the restriction condition corresponding to the service detail data in the historical data corresponding to the user information, it is determined that there is no risk in applying for the user information and the service detail data, and the accounting processing can be performed, further, it is necessary to determine whether there is a service category corresponding to the service detail data in the preset service category table, and if so, it is indicated that the service data processing platform can perform the accounting processing on the service detail data in the service category; if the service data does not exist, the service data processing platform cannot perform accounting processing on the service detail data under the service category, and sends prompt information for refusing the accounting processing to the service personnel terminal, wherein the prompt information comprises reason information for refusing the accounting processing by the service data platform, for example, in insurance claim accounting, the service type can be specifically a responsibility type including general medical responsibility, malignant tumor responsibility and the like.
105. And if the business type corresponding to the business detail data exists, performing accounting processing on the business detail data according to a preset business processing rule corresponding to the business type.
For the embodiment of the present invention, if the service category corresponding to the service detail data exists in the preset service category table, the service processing rule corresponding to the service detail data is determined according to the service category, and the accounting processing is performed on the service detail data according to the service processing rule, wherein the service processing rule includes a screening rule and an accounting formula corresponding to the service detail data, specifically, after the service processing rule corresponding to the service detail data is determined, the service detail data is first selected according to the service detail data screening rule in the service processing rule, that is, the service detail data not meeting the requirement is excluded and does not participate in the accounting processing, further, the accounting processing is performed on the service detail data meeting the requirement according to the accounting formula corresponding to the service detail data, so as to obtain the service processing result corresponding to the service detail data, and the service processing result is sent to the service personnel terminal, so that the automatic accounting of the service detail data can be realized through the service data processing platform, the service data processing efficiency is improved, and the workload of service personnel is reduced.
Compared with the current mode of manually processing service data, the service data processing method provided by the embodiment of the invention can acquire a service data processing request and correspondingly uploaded image information; identifying the application user information in the image information and corresponding service detail data to be accounted; in addition, whether target data meeting the limiting conditions corresponding to the business detail data exists in historical data corresponding to the application user information is judged, wherein the occurrence time point of the event corresponding to the target data is earlier than the acquisition time point of the business corresponding to the business detail data; meanwhile, if the target data does not exist, judging whether a service type corresponding to the service detail data exists in a preset service type table or not; and if the business type corresponding to the business detail data exists, performing accounting processing on the business detail data according to a preset business processing rule corresponding to the business type, so that the business data processing efficiency can be improved, the business processing timeliness is ensured, the accuracy of a business processing result is improved, and the labor cost is reduced.
Further, in order to better describe the process of the service processing, as a refinement and an extension of the foregoing embodiment, an embodiment of the present invention provides another service processing method, as shown in fig. 2, where the method includes:
201. and acquiring a service data processing request and correspondingly uploaded image information.
For the embodiment of the present invention, the manner of acquiring the service data processing request and the corresponding uploaded image information is the same as that in step 101, and is not described herein again.
202. And identifying the position information and the category information of each target field in the image information by using a preset character detection model.
For the embodiment of the present invention, the accounting process does not require the user to upload all information in the image information, but only requires the application user information and the service detail data in the target field, so that the target field in the image information uploaded by the user needs to be detected first, specifically, the position information and the category information of each target field in the image information can be identified by using a preset text detection model, and step 202 specifically includes: inputting the image information into a convolutional neural network in the preset character detection model for feature extraction, and determining a feature vector corresponding to the image information; inputting the feature vector corresponding to the image information into a candidate area network in the preset character detection model for boundary frame extraction, generating a to-be-detected area corresponding to each target field in the image information, and determining the position information of each target field according to each to-be-detected area; extracting the characteristics of each region to be detected by using the ROI pooling layer in the preset character detection model to obtain characteristic vectors corresponding to each region to be detected; and classifying the feature vectors corresponding to the regions to be detected by using a support vector machine in the preset character detection model to obtain class information corresponding to the target fields. Wherein, the preset character detection model can be but not limited to a mask-rcnn character detection model, the mask-rcnn character detection model comprises a convolutional neural network, a candidate area network, an ROI pooling layer and a support vector machine, before detecting the position information and the category information of a target field by using the mask-rcnn character detection model, firstly, a preset training set is required to be constructed, specifically, image information uploaded by a large number of users is obtained, each target field is determined according to business requirements, a large amount of image information is labeled according to each determined target field, the labeled large amount of image information is used as the preset training set, the mask-rcnn model is trained according to the preset training set to construct the preset character detection model, further, the image information to be identified is input to the preset character detection model to carry out character detection, and the position information and the category information corresponding to each target field are obtained, for example, the target fields in the image information are "name" and "total amount", the position information and the category information of the fields "name" and "amount" can be identified by using the preset character detection model, the positions of the fields "name" and "amount" in the image information can be determined according to the position information, and meanwhile, whether the detected fields are "name" or "category" can be distinguished according to the category information.
203. And identifying the application user information and the service detail data in the target field by using a preset data information identification model according to the position information and the category information.
For the embodiment of the present invention, after the target field in the image information is recognized by using the preset character detection model, the application user information and the service detail data of the target field need to be recognized, that is, the specific content under the target field is recognized, specifically, the application user information and the service detail data under the target field can be recognized by using the preset data information recognition model, where the preset data information recognition model may be, but is not limited to, an OCR data information recognition model, for example, after the positions of "name" and "amount" in the image information are recognized by using the preset character detection model, further, the specific data information "Xiaoming" and "1000 Yuan" under the target field is recognized by using the preset OCR data information recognition model.
204. And judging whether target data meeting the limiting conditions corresponding to the business detail data exist in the historical data corresponding to the application user information. If yes, go to step 205; if not, go to step 206.
In order to determine whether the service data processing platform has a risk in processing the service detail data, the embodiment of the present invention may determine whether there is target data meeting the restriction condition corresponding to the service detail data in the historical data corresponding to the user application information, and if there is target data meeting the restriction condition corresponding to the service detail data in the historical data, determine that there is a risk in performing accounting processing on the service detail data; if the historical data does not have target data meeting the limiting conditions corresponding to the business detail data, determining that no risk exists in the business detail data, specifically, constructing a preset relational database, wherein the preset relational database stores the target data of the limiting conditions corresponding to the business detail data, searching the preset relational database through the business detail data, determining the target data of the limiting conditions corresponding to the business detail data, further judging whether the historical data in the application user information is the target data, if the historical data is the target data, indicating that the risk exists in the business detail data, and sending prompt information for refusing the accounting processing to a business personnel terminal; and if the historical data is not the target data, the business detail data is verified without risk. For example, in the insurance claim settlement accounting, historical data of a user shows that the user has coronary heart disease, business detail data of the user is bill data of the hospitalization of the user for the current cardiac infarction, a preset relational database is inquired according to the bill data of the hospitalization of the user for the current cardiac infarction, the fact that the myocardial infarction is related to the coronary heart disease can be known, the time of the user suffering from the relevant cardiac disease is earlier than the time of the myocardial infarction, therefore, the historical data of the user is known to be target data, and the risk exists when the bill data of the user for the hospitalization is accounted.
205. And sending prompt information for refusing accounting processing to the service personnel terminal.
206. And if the target data does not exist, judging whether a service type corresponding to the service detail data exists in a preset service type table or not. If yes, go to step 207; if not, go to step 205.
For the embodiment of the invention, if the historical data corresponding to the application user information does not have target data meeting the restriction condition corresponding to the business detail data, a preset business category table is inquired to determine the business category corresponding to the business detail data, the business category related to the business data processing platform is stored in the preset business category table, if the business category corresponding to the business detail data does not exist in the preset business category table, the business data processing platform cannot process the business detail data, and prompt information for refusing accounting processing is sent to a business personnel terminal; and if the service type corresponding to the service detail data exists in the preset service type table, performing accounting processing on the service detail data according to a preset service processing rule corresponding to the service type.
207. And if the business type corresponding to the business detail data exists, performing accounting processing on the business detail data according to a preset business processing rule corresponding to the business type.
For the embodiment of the present invention, if there is a service type corresponding to the service detail data in the preset service type table, the accounting processing is performed on the service detail data according to the preset service processing rule corresponding to the service type, step 207 specifically includes: determining a preset time requirement and an accounting formula corresponding to the service detail data according to the preset service processing rule; judging whether the time information in the service detail data meets the preset time requirement or not; and if the preset time requirement is met, performing accounting processing on the service detail data according to the accounting formula. Further, in order to perform accounting processing on the service detail data according to a time sequence, the performing accounting processing on the service detail data according to the accounting formula includes: sequencing the service detail data meeting the preset time requirement according to the sequence of the time information; and according to the sequencing sequence of the service detail data, performing accounting processing on the service detail data according to the accounting formula. Specifically, different business processing rules correspond to different business detail data screening rules and accounting formulas, wherein the screening rules of the business detail data may specifically be preset time requirements corresponding to the business detail data, and the business detail data whose time information does not meet the preset time requirements in the business detail data is excluded, for example, in insurance claim settlement, the business detail data may specifically be bill data, the preset time requirements may specifically be an accident limit period and a hospitalization extension period, and the bill data which is not in the accident limit period and the hospitalization extension period is not subjected to accounting processing. Further, according to the preset business processing rule, an accounting formula corresponding to the business detail data is determined, and the accounting formula is utilized to perform accounting processing on the business detail data meeting the preset time requirement, for example, in insurance claim settlement accounting, specific business categories can be subsidy responsibility and non-subsidy responsibility, the business processing rules corresponding to different claim responsibility are different, namely the accounting formulas corresponding to different claim responsibility are different, the accounting formula corresponding to the bill data can be determined according to the claim responsibility, and the bill data meeting the requirement under the claim responsibility is accounted according to the accounting formula.
In order to illustrate the specific implementation process of the above embodiment, taking the insurance claim settlement service as an example, the following application scenarios are given, but not limited to the following scenarios:
after a user initiates a claim, the image information corresponding to the claim settlement event is uploaded, the business data processing platform identifies user identity information, hospitalization information and bill data in the image information, then identifies relevant rules according to responsibilities configured by the business data processing platform, and determines the claim responsibility corresponding to the bill data, the relevant rules for responsibilities identification specifically include an insurance type, a claim type, a responsibility code, an accident waiting period, a disease waiting period and a diagnosis type, specifically, a preset business category table can be searched according to the insurance type and the claim type filled by the user, the claim responsibility corresponding to the bill to be paid is determined, the claim responsibility corresponding to different claim types and insurance types are stored in the preset business category table, a relevant flow of the specific claim responsibility judgment is shown in fig. 3, and the claim responsibility can be a general medical responsibility specifically, malignant tumor liability, etc., and further, according to the determined burden, a preset processing rule of the bill to be paid in case of a claim event can be determined, according to the preset processing rule, a screening rule and an accounting formula of the bill to be paid can be determined, the screening rule can be used for filtering the bill to be paid of the user, i.e. determining which bills of the user can be paid, the decision flow of whether the bill is payable is shown in fig. 4, the screening rule of the bill to be paid according to the burden is specifically an outpatient time range, an unexpected limit period, an in-patient extension period, the bills in the outpatient time range, the unexpected limit period and the in-patient extension period are payable bills, so that all bills payable under the burden can be determined, further, the payable bills are accounted by using the determined accounting formula, the accounting flow of the bills is shown in fig. 5, the method comprises the steps of obtaining the security information of a user from an insurance company according to the identity information of the user, sequencing payable bills according to a time sequence, respectively carrying out accounting processing on the bills by using a determined accounting formula and the security information according to the sequencing sequence to obtain an accounting result corresponding to a final claim settlement event, updating the security information of the user according to the accounting result, and feeding the accounting result back to a service staff terminal. Therefore, the business data processing platform provided by the embodiment of the invention can directly obtain the accounting result, greatly lightens the workload of business personnel, and improves the efficiency of insurance claim settlement and the accuracy of the accounting result.
Compared with the current mode of manually processing service data, the another service data processing method provided by the embodiment of the invention can acquire a service data processing request and correspondingly uploaded image information; identifying the application user information in the image information and corresponding service detail data to be accounted; in addition, whether target data meeting the limiting conditions corresponding to the business detail data exists in historical data corresponding to the application user information is judged, wherein the occurrence time point of the event corresponding to the target data is earlier than the acquisition time point of the business corresponding to the business detail data; meanwhile, if the target data does not exist, judging whether a service type corresponding to the service detail data exists in a preset service type table or not; and if the business type corresponding to the business detail data exists, performing accounting processing on the business detail data according to a preset business processing rule corresponding to the business type, so that the business data processing efficiency can be improved, the business processing timeliness is ensured, the accuracy of a business processing result is improved, and the labor cost is reduced.
Further, as a specific implementation of fig. 1, an embodiment of the present invention provides a service data processing apparatus, as shown in fig. 3, where the apparatus includes: an acquisition unit 31, a recognition unit 32, a first judgment unit 33, a second judgment unit 34 and an accounting unit 35.
The obtaining unit 31 may be configured to obtain a service data processing request and corresponding uploaded image information. The acquiring unit 31 is a main functional module in the device for acquiring the service data processing request and the corresponding uploaded image information.
The identifying unit 32 may be configured to identify the application user information in the image information and the corresponding service detail data to be accounted. The identification unit 32 is a main function module in the apparatus that identifies the application user information in the image information and the corresponding service detail data to be accounted, and is also a core module.
The first determining unit 33 may be configured to determine whether there is target data meeting a restriction condition corresponding to the service detail data in the history data corresponding to the application user information. The first determining unit 33 is a main function module of the present apparatus that determines whether there is target data that meets the restriction condition corresponding to the service detail data in the history data corresponding to the application user information.
The second determining unit 34 may be configured to determine whether a service category corresponding to the service detail data exists in a preset service category table if the target data does not exist. The second determining unit 34 is a main function module that determines whether a service category corresponding to the service detail data exists in a preset service category table if the target data does not exist in the apparatus, and is also a core module.
The accounting unit 35 may be configured to perform accounting processing on the service detail data according to a preset service processing rule corresponding to the service type if the service type corresponding to the service detail data exists. The accounting unit 35 is a main function module that performs accounting processing on the service detail data according to a preset service processing rule corresponding to the service type if the service type corresponding to the service detail data exists in the device, and is also a core module.
For the embodiment of the present invention, in order to identify the application user information and the service detail data in the image information, the identifying unit 32 may be specifically configured to identify the position information and the category information of each target field in the image information by using a preset character detection model.
The identifying unit 32 may be further configured to identify, according to the location information and the category information, the application user information and the service detail data in the target field by using a preset data information identification model.
Further, in order to obtain the location information and the category information of each target field, the identifying unit 32 includes: an extraction module 321, a generation module 322 and a classification module 323.
The extracting module 321 may be configured to input the image information to a convolutional neural network in the preset text detection model to perform feature extraction, and determine a feature vector corresponding to the image information.
The generating module 322 may be configured to input the feature vector corresponding to the image information into the candidate area network in the preset text detection model to perform bounding box extraction, generate to-be-detected areas corresponding to each target field in the image information, and determine position information of each target field according to each to-be-detected area.
The extracting module 321 may be further configured to perform feature extraction on each to-be-detected region by using the ROI pooling layer in the preset text detection model, so as to obtain a feature vector corresponding to each to-be-detected region.
The classification submodule 323 may be configured to classify, by using a support vector machine in the preset text detection model, the feature vectors corresponding to the respective regions to be detected, so as to obtain category information corresponding to the respective target fields.
Meanwhile, in order to perform accounting processing on the service detail data, the accounting unit 35 includes: a determination module 351, a judgment module 352, and an accounting module 353.
The determining module 351 may be configured to determine, according to the preset service processing rule, a preset time requirement and an accounting formula corresponding to the service detail data.
The determining module 352 may be configured to determine whether the time information in the service detail data meets a preset time requirement.
The accounting module 353 may be configured to perform accounting processing on the service detail data according to the accounting formula if the service detail data meets the preset time requirement.
Further, in order to calculate the service detail data according to the time sequence, the accounting module 353 includes: a sorting sub-module and an accounting sub-module.
The sorting submodule can be used for sorting the service detail data meeting the preset time requirement according to the sequence of the time information.
The accounting sub-module may be configured to perform accounting processing on the service detail data according to the ordering order of the service detail data and the accounting formula.
For the embodiment of the present invention, the apparatus further includes a sending unit 36, where the sending unit 36 may be configured to send, to the service staff terminal, a prompt message for rejecting accounting processing if the service category corresponding to the service detail data does not exist.
It should be noted that other corresponding descriptions of the functional modules related to the service data processing apparatus provided in the embodiment of the present invention may refer to the corresponding description of the method shown in fig. 1, and are not described herein again.
Based on the methods shown in fig. 1 and fig. 2, correspondingly, the embodiment of the invention further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the methods shown in fig. 1 to fig. 2.
Based on the above embodiments of the method shown in fig. 1 and the apparatus shown in fig. 5, an embodiment of the present invention further provides an entity structure diagram of a computer device, as shown in fig. 7, where the computer device includes: a processor 41, a memory 42, and a computer program stored on the memory 42 and executable on the processor, wherein the memory 42 and the processor 41 are both arranged on a bus 43 such that the processor 41 implements the method as shown in fig. 1-2 when executing the program.
By the technical scheme, the method and the device can acquire the service data processing request and the corresponding uploaded image information; identifying the application user information in the image information and corresponding service detail data to be accounted; in addition, whether target data meeting the limiting conditions corresponding to the business detail data exists in historical data corresponding to the application user information is judged, wherein the occurrence time point of the event corresponding to the target data is earlier than the acquisition time point of the business corresponding to the business detail data; meanwhile, if the target data does not exist, judging whether a service type corresponding to the service detail data exists in a preset service type table or not; and if the business type corresponding to the business detail data exists, performing accounting processing on the business detail data according to a preset business processing rule corresponding to the business type, so that the business data processing efficiency can be improved, the business processing timeliness is ensured, the accuracy of a business processing result is improved, and the labor cost is reduced.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The method of the present invention may be implemented in many ways. For example, the methods of the present invention may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustrative purposes only, and the steps of the method of the present invention are not limited to the order specifically described above unless specifically indicated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as a program recorded in a recording medium, the program including machine-readable instructions for implementing a method according to the present invention. Thus, the present invention also covers a recording medium storing a program for executing the method according to the present invention.
The description of the present invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (14)
1. A service data processing apparatus, comprising:
the acquisition unit is used for acquiring a service data processing request and correspondingly uploaded image information;
the identification unit is used for identifying the application user information in the image information and corresponding service detail data to be accounted;
a first judging unit, configured to judge whether there is target data meeting a restriction condition corresponding to the service detail data in history data corresponding to the application user information, where an occurrence time point of an event corresponding to the target data is earlier than an acquisition time point of a service corresponding to the service detail data;
a second judging unit, configured to judge whether a service category corresponding to the service detail data exists in a preset service category table if the target data does not exist;
and the accounting unit is used for performing accounting processing on the service detail data according to a preset service processing rule corresponding to the service type if the service type corresponding to the service detail data exists.
2. The apparatus of claim 1,
the identification unit is specifically used for identifying the position information and the category information of each target field in the image information by using a preset character detection model;
the identification unit is further specifically configured to identify the application user information and the service detail data in the target field by using a preset data information identification model according to the location information and the category information.
3. The apparatus of claim 2, wherein the identification unit comprises: an extraction module, a generation module and a classification module,
the extraction module is used for inputting the image information into a convolutional neural network in the preset character detection model for feature extraction, and determining a feature vector corresponding to the image information;
the generating module is configured to input the feature vector corresponding to the image information to a candidate area network in the preset character detection model to perform bounding box extraction, generate to-be-detected areas corresponding to each target field in the image information, and determine position information of each target field according to each to-be-detected area;
the extraction module is further configured to perform feature extraction on each to-be-detected region by using the ROI pooling layer in the preset character detection model to obtain a feature vector corresponding to each to-be-detected region;
and the classification module is used for classifying the feature vectors corresponding to the regions to be detected by using a support vector machine in the preset character detection model to obtain the class information corresponding to the target fields.
4. The apparatus of claim 1, wherein the accounting unit comprises: a determining module, a judging module and an accounting module,
the determining module is used for determining a preset time requirement and an accounting formula corresponding to the service detail data according to the preset service processing rule;
the judging module is used for judging whether the time information in the service detail data meets the preset time requirement or not;
and the accounting module is used for performing accounting processing on the service detail data according to the accounting formula if the service detail data meets the preset time requirement.
5. The apparatus of claim 4, wherein the accounting module comprises: a sorting submodule and a kernel operator module,
the sequencing submodule is used for sequencing the service detail data meeting the preset time requirement according to the sequence of the time information;
and the operator checking module is used for checking the business detail data according to the sorting sequence of the business detail data and the checking formula.
6. The apparatus of claim 1, further comprising a transmitting unit,
and the sending unit is used for sending prompt information for refusing accounting processing to the service personnel terminal if the service type corresponding to the service detail data does not exist.
7. A method for processing service data is characterized by comprising the following steps:
acquiring a service data processing request and correspondingly uploaded image information;
identifying application user information in the image information and corresponding service detail data to be accounted;
judging whether target data meeting the limiting conditions corresponding to the business detail data exist in historical data corresponding to the application user information, wherein the occurrence time point of an event corresponding to the target data is earlier than the acquisition time point of a business corresponding to the business detail data;
if the target data does not exist, judging whether a service type corresponding to the service detail data exists in a preset service type table or not;
and if the business type corresponding to the business detail data exists, performing accounting processing on the business detail data according to a preset business processing rule corresponding to the business type.
8. The method according to claim 7, wherein the identifying of the application user information and the corresponding service detail data to be accounted in the image information comprises:
identifying the position information and the category information of each target field in the image information by using a preset character detection model;
and identifying the application user information and the service detail data in the target field by using a preset data information identification model according to the position information and the category information.
9. The method of claim 8, wherein the identifying the location information and the category information of each target field in the image information using a predetermined text detection model comprises:
inputting the image information into a convolutional neural network in the preset character detection model for feature extraction, and determining a feature vector corresponding to the image information;
inputting the feature vector corresponding to the image information into a candidate area network in the preset character detection model for boundary frame extraction, generating a to-be-detected area corresponding to each target field in the image information, and determining the position information of each target field according to each to-be-detected area;
extracting the characteristics of each region to be detected by using the ROI pooling layer in the preset character detection model to obtain characteristic vectors corresponding to each region to be detected;
and classifying the feature vectors corresponding to the regions to be detected by using a support vector machine in the preset character detection model to obtain class information corresponding to the target fields.
10. The method according to claim 7, wherein the performing accounting processing on the service detail data according to a preset service processing rule corresponding to the service category includes:
determining a preset time requirement and an accounting formula corresponding to the service detail data according to the preset service processing rule;
judging whether the time information in the service detail data meets the preset time requirement or not;
and if the preset time requirement is met, performing accounting processing on the service detail data according to the accounting formula.
11. The method according to claim 10, wherein the performing accounting processing on the service detail data according to the accounting formula includes:
sequencing the service detail data meeting the preset time requirement according to the sequence of the time information;
and according to the sequencing sequence of the service detail data, performing accounting processing on the service detail data according to the accounting formula.
12. The method according to claim 7, wherein after the determining whether the service class corresponding to the service detail data exists in a preset service class table, the method further comprises:
and if the service type corresponding to the service detail data does not exist, sending prompt information for refusing accounting processing to the service personnel terminal.
13. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 7 to 12.
14. A computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the computer program realizes the steps of the method of any of claims 7 to 12 when executed by the processor.
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