CN109615336A - Business approval method, apparatus, computer equipment and storage medium - Google Patents
Business approval method, apparatus, computer equipment and storage medium Download PDFInfo
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- 238000005070 sampling Methods 0.000 claims description 198
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Abstract
This application involves a kind of business approval method, apparatus, computer equipment and storage mediums.This method is related to Business Process Optimizing, comprising: receives business request information, and according to the type of service of business request information, inquires preset pre- examination & approval model, pre- model of examining constructs to obtain according to the pre- examination & approval rule that partial service examines rule composition；Pre- examination & approval parameter is extracted from business request information, and will be examined in advance in the pre- examination & approval model of parameter input, and pre- approval results are obtained；When the type of pre- approval results is full examination & approval, preset full examination & approval model is inquired according to type of service, full model of examining constructs to obtain according to whole business approval rules；Full examination & approval parameter is extracted from business request information, and will be examined entirely in the full examination & approval model of parameter input, and full approval results are obtained；The business approval of business request information is obtained according to full approval results as a result, and carrying out corresponding review operation according to business approval result.It being capable of business approval efficiency and accuracy using this method.
Description
Technical field
This application involves field of computer technology, more particularly to a kind of business approval method, apparatus, computer equipment and
Storage medium.
Background technique
With technical development of computer, electronic office system is widely used, the Business Stream of various businesses system
Journey can be realized by electronic office system and be handled on line, such as business application, business approval etc., greatly improve each industry
The treatment effeciency for process of being engaged in, facilitates the Working Life of people.
However, the business approval of current operation system is handled, need by the approving person of profession manually to copending industry
Business request is verified and confirmed, and corresponding decision is finally made, and examines low efficiency, and business approval processing is by approving person individual
Factor influences greatly, and the accuracy of approval decisionmaking is limited.
Summary of the invention
Based on this, it is necessary to which in view of the above technical problems, providing a kind of can be improved business approval efficiency and accuracy
Business approval method, apparatus, computer equipment and storage medium.
A kind of business approval method, which comprises
Business request information is received, and according to the type of service of business request information, inquires preset pre- examination & approval model, in advance
Examination & approval model constructs to obtain according to the pre- examination & approval rule that partial service examines rule composition；
Pre- examination & approval parameter is extracted from business request information, and will be examined in advance in the pre- examination & approval model of parameter input, is obtained pre-
Approval results；
When the type of pre- approval results is full examination & approval, preset full examination & approval model is inquired according to type of service, it is complete to examine
Model constructs to obtain according to whole business approval rules；
Full examination & approval parameter is extracted from business request information, and will be examined entirely in the full examination & approval model of parameter input, is obtained complete
Approval results；
The business approval of business request information is obtained according to full approval results as a result, and carrying out pair according to business approval result
The review operation answered.
In one of the embodiments, according to the type of service of business request information, preset pre- examination & approval model, packet are inquired
It includes:
Message key is extracted from business request information；
Inquire preset type of service list；
According to message key and type of service list, the type of service of business request information is determined；
From preset pre- examination & approval model library, pre- examination & approval model corresponding with type of service is inquired.
In one of the embodiments, in the type of service according to business request information, preset pre- examination & approval model is inquired
Before, further includes:
It determines the corresponding operation system of type of service, and obtains the business approval rule and history service number of operation system
According to；
It obtains examining model entirely according to business approval rule and the training of history service data；
Pre- examination & approval rule is extracted from business approval rule, pre- examination & approval rule includes identity information examination & approval rule, reference letter
Breath examination & approval rule and business information examination & approval rule；
According to identity information examination & approval rule, reference information examination & approval rule, business information examination & approval rule and history service data
Training obtains pre- examination & approval model.
It will be examined in advance in the pre- examination & approval model of parameter input in one of the embodiments, after obtaining pre- approval results, also
Include:
When the type of pre- approval results is sampling observation examination & approval, business request information is imported in preset request sampling observation pond；
Strategy is examined according to preset sampling observation, business request information is extracted from request sampling observation pond and carries out sampling observation examination & approval place
Reason obtains sampling observation approval results；
It is that examination & approval are obstructed out-of-date when inspecting approval results by random samples, the type of pre- approval results is switched to full examination & approval, and enter root
Preset full examination & approval model is inquired according to type of service；Otherwise, business approval result is obtained according to sampling observation approval results.
Strategy is examined according to preset sampling observation in one of the embodiments, extracts service request from request sampling observation pond
Message carries out sampling observation examination & approval
Preset sampling observation examination & approval strategy is inquired, sampling observation examination & approval strategy includes sampling observation trigger condition, sampling observation extraction condition and pumping
Examine number condition；
When detect meet sampling observation trigger condition when, according to sampling observation extraction condition and sampling observation number condition from request inspect by random samples pond
Middle extraction business request information；
Business request information is sent to preset sampling observation approval node, carries out sampling observation examination & approval processing.
Carrying out corresponding review operation according to business approval result in one of the embodiments, includes:
When business approval result is that examination & approval pass through, generates examination & approval and pass through prompting message；
Examination & approval are issued by prompting message, and business processing is carried out according to business request information.
Carrying out corresponding review operation according to business approval result in one of the embodiments, includes:
When business approval result is to examine obstructed out-of-date, the determining unacceptable rejection examination & approval parameter of examination & approval；
And examination & approval rejection prompting message is generated according to examination & approval parameter is rejected；
It issues examination & approval and rejects prompting message.
A kind of business approval device, described device include:
Pre- examination & approval pattern query module, for receiving business request information, and according to the type of service of business request information,
Preset pre- examination & approval model is inquired, pre- model of examining constructs to obtain according to the pre- examination & approval rule that partial service examines rule composition；
Preliminary hearing batch processing module for extracting pre- examination & approval parameter from business request information, and will examine parameter input in advance
In pre- examination & approval model, pre- approval results are obtained；
Full examination & approval pattern query module, for being inquired according to type of service when the type of pre- approval results is full examination & approval
Preset full examination & approval model, full model of examining construct to obtain according to whole business approval rules；
Full examination & approval processing module for extracting full examination & approval parameter from business request information, and will examine parameter input entirely
In full examination & approval model, full approval results are obtained；
Business approval result obtains module, for obtaining the business approval knot of business request information according to full approval results
Fruit, and corresponding review operation is carried out according to business approval result.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
Device performs the steps of when executing the computer program
Business request information is received, and according to the type of service of business request information, inquires preset pre- examination & approval model, in advance
Examination & approval model constructs to obtain according to the pre- examination & approval rule that partial service examines rule composition；
Pre- examination & approval parameter is extracted from business request information, and will be examined in advance in the pre- examination & approval model of parameter input, is obtained pre-
Approval results；
When the type of pre- approval results is full examination & approval, preset full examination & approval model is inquired according to type of service, it is complete to examine
Model constructs to obtain according to whole business approval rules；
Full examination & approval parameter is extracted from business request information, and will be examined entirely in the full examination & approval model of parameter input, is obtained complete
Approval results；
The business approval of business request information is obtained according to full approval results as a result, and carrying out pair according to business approval result
The review operation answered.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
Business request information is received, and according to the type of service of business request information, inquires preset pre- examination & approval model, in advance
Examination & approval model constructs to obtain according to the pre- examination & approval rule that partial service examines rule composition；
Pre- examination & approval parameter is extracted from business request information, and will be examined in advance in the pre- examination & approval model of parameter input, is obtained pre-
Approval results；
When the type of pre- approval results is full examination & approval, preset full examination & approval model is inquired according to type of service, it is complete to examine
Model constructs to obtain according to whole business approval rules；
Full examination & approval parameter is extracted from business request information, and will be examined entirely in the full examination & approval model of parameter input, is obtained complete
Approval results；
The business approval of business request information is obtained according to full approval results as a result, and carrying out pair according to business approval result
The review operation answered.
Above-mentioned business approval method, apparatus, computer equipment and storage medium, correspond to service class according to business request information
The preset pre- examination & approval model of type is examined in advance, when pre- approval results are full examination & approval, according to preset full examination & approval model to industry
Business request message is examined entirely, obtains the business approval of business request information according to full approval results as a result, and being corresponded to
Review operation, thus realize business approval processing.During business approval, by pre-set pre- examination & approval model and
Full examination & approval model carries out business approval processing and improves business approval efficiency without the direct participation of approving person, avoid simultaneously
Influence of approving person's individual factor to approval results, improves the accuracy of business approval.
Detailed description of the invention
Fig. 1 is the application scenario diagram of business approval method in one embodiment；
Fig. 2 is the flow diagram of business approval method in one embodiment；
Fig. 3 is the flow diagram of sampling observation examination & approval processing step in one embodiment；
Fig. 4 is the flow diagram of business approval method in another embodiment；
Fig. 5 is the structural block diagram of business approval device in one embodiment；
Fig. 6 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Business approval method provided by the present application, can be applied in application environment as shown in Figure 1.Wherein, terminal 102
It is communicated with server 104 by network by network.Terminal 120 sends business request information to server 104, with request
Business service, server 104 correspond to the preset pre- examination & approval model of type of service according to the business request information received and carry out in advance
Examination & approval examine business request information according to preset full examination & approval model when pre- approval results are full examination & approval entirely, according to
Full approval results obtain the business approval of business request information as a result, and carry out corresponding review operation, to realize business
Examination & approval processing.Wherein, terminal 102 can be, but not limited to be various personal computers, laptop, smart phone, plate electricity
Brain and portable wearable device, server 104 can use the server of the either multiple server compositions of independent server
Cluster is realized.
In one embodiment, as shown in Fig. 2, providing a kind of business approval method, it is applied in Fig. 1 in this way
It is illustrated for server 104, comprising the following steps:
Step S201: receiving business request information, and according to the type of service of business request information, inquires preset preliminary hearing
Model is criticized, pre- model of examining constructs to obtain according to the pre- examination & approval rule that partial service examination & approval rule forms.
For each operation system, the business request information uploaded by terminal 102 can be related to a variety of different business clothes
Business, such as debt-credit service, lease service, account service etc., and for different business services, different examination & approval can be corresponded to and wanted
It asks.It is specific, for the business request information of insuring that terminal uploads, various insurance kinds of insuring to be related to as in insurance system,
Such as property insurance, medical insurance, life insurance and vehicle insurance, the examination & approval for property insurance then need to refer to the economic information of warrantee, doctor
It treats danger and needs to refer to medical information and health status information of warrantee etc..
In the present embodiment, server 104 receives the business request information that terminal 102 uploads, which is used for
Corresponding business service is requested to operation system.The business request information of different service types needs to be advised according to different examination & approval
It is then examined, specifically, server 104 determines the type of service of the business request information, and is inquired according to its type of service
Preset pre- examination & approval model.Wherein, examination & approval model constructs to obtain according to the pre- examination & approval rule that partial service examines rule composition in advance.
Generally, it when carrying out business approval to business request information, needs to refer to corresponding various businesses examination & approval rule and is verified
Confirmation, and according to the comprehensive progress decision examination & approval of result are verified and confirmed, to realize effective risk control, it is ensured that the accuracy of examination & approval.
In the present embodiment, from business approval rule, rule is examined according to actual pre- examination & approval requirement extract partial service, forms preliminary hearing
Batch rule, and pre- examination & approval model is obtained according to pre- examination & approval rule building, pre- model of examining can be to pass through artificial log on
The pre- examination & approval rule of algorithm training obtains.Pre- examination & approval model can carry out preliminary pre- examination & approval to business request information, reduce examination & approval
The complexity of rule, can effectively improve examination & approval efficiency.
Step S203: extracting pre- examination & approval parameter from business request information, and will examine the pre- examination & approval model of parameter input in advance
In, obtain pre- approval results.
After obtaining pre- examination & approval model, pre- examination & approval parameter is extracted from business request information, pre- parameter of examining is pre- examination & approval mould
Various parameters needed for the input vector of type.It will examine in the pre- examination & approval model of parameter input, be exported by the pre- examination & approval model in advance
To the pre- approval results of business request information.Pre- examination & approval model is to be examined to advise according to partial service according to actual pre- examination & approval demand
The pre- examination & approval rule building then formed, preliminary preliminary hearing batch processing can be carried out to business request information, it can be quickly right
Business request information carries out a degree of examination & approval and distinguishes, and improves the efficiency of business approval processing.
Step S205: when the type of pre- approval results is full examination & approval, preset full examination & approval mould is inquired according to type of service
Type, full model of examining construct to obtain according to whole business approval rules.
It is that rule composition is examined with reference to partial service by examining preliminary hearing batch processing of the model to business request information in advance
The business approval processing that carries out of pre- examination & approval rule, corresponding obtained different pre- examination & approval are as a result, corresponding examination & approval can be carried out
Processing.For example, the type of pre- approval results can be, but not limited to include that full examination & approval, sampling observation examination & approval, pre- examination & approval pass through and examine in advance
Do not pass through, wherein the type of pre- approval results is full examination & approval, is demonstrated the need for according to whole business approval rules to service request
Message carries out further full approval；Sampling observation examination & approval show that preliminary hearing batch can pass through, can be to business request information according to default
Sampling observation examination & approval strategy inspected by random samples.The type of pre- approval results can carry out progressive division setting in practical application request,
Such as be set as successively examining entirely, inspect examination & approval by random samples and pre- examination & approval pass through, pass through degree with show pre- examination & approval.
In the present embodiment, after obtaining pre- approval results, the type of the pre- approval results is determined, when the type of pre- approval results
When to examine entirely, inquire corresponding with the type of service of business request information preset full examination & approval model, this examine full model according to
Whole business approval rules construct to obtain.Compared to pre- examination & approval model, full model of examining is constructed according to whole business approval rules
Obtain, specifically can whole business approval rules trained and obtain by neural network algorithm, be related to all business approvals
The accuracy of rule, business approval is high, it can be ensured that the air control effect of approval decisionmaking.
Step S207: extracting full examination & approval parameter from business request information, and will examine the full examination & approval model of parameter input entirely
In, obtain full approval results.
It obtains after examining model entirely, full examination & approval parameter is extracted from business request information, examination & approval parameter is full examination & approval model
Input vector needed for various parameters, such as name, ID card No., phone number, account information, economic situation data,
Examination & approval parameter needed for the business approvals such as physiological health data.It will examine entirely in the full examination & approval model of parameter input, by examining mould entirely
Type exports to obtain full approval results.Full examination & approval model is based on whole business approval rules and is examined comprehensively business request information
Batch, the examination & approval being related to are wide, examination & approval degree is deep, and accuracy is high, it can be ensured that the air control effect of approval decisionmaking.
Step S209: the business approval of business request information is obtained according to full approval results as a result, and according to business approval
As a result corresponding review operation is carried out.
It obtains examining model entirely and export after obtaining full approval results, obtain business request information according to the full approval results
Business approval is as a result, for example, can be directly using the full approval results as the business approval result of business request information.Obtain industry
It is engaged in after the business approval result of request message, carries out corresponding review operation according to the business approval result.For example, business approval
When as a result passing through for examination & approval, the business request information can be responded, to provide corresponding business service for terminal 102；If examination & approval
It is obstructed out-of-date, then it generates examination & approval and rejects prompting message and be issued to terminal 102, to inform the business approval knot of terminal 102
Fruit.
In above-mentioned business approval method, the preset pre- examination & approval model of type of service is corresponded to according to business request information and is carried out in advance
Examination & approval examine business request information according to preset full examination & approval model when pre- approval results are full examination & approval entirely, according to
Full approval results obtain the business approval of business request information as a result, and carry out corresponding review operation, to realize business
Examination & approval processing.During business approval, carried out at business approval by pre-set pre- examination & approval model and full examination & approval model
Reason, without the direct participation of approving person, improves business approval efficiency, while avoiding approving person's individual factor to examination & approval
As a result influence improves the accuracy of business approval.
In one embodiment, according to the type of service of business request information, preset pre- examination & approval model is inquired, comprising:
Message key is extracted from business request information；Inquire preset type of service list；According to message key and service class
Type list determines the type of service of business request information；From preset pre- examination & approval model library, inquire corresponding with type of service
Pre- examination & approval model.
The business request information that terminal 102 uploads includes field information relevant to the service of institute's requested service, according to the word
Segment information can determine its corresponding type of service, so as to inquire corresponding pre- examination & approval model according to type of service.This reality
Apply in example, message key extracted from business request information, can use keyword extraction algorithm, as TextRank algorithm from
Message key relevant to business service is extracted in business request information.Inquire preset type of service list, the service class
Type list has recorded the corresponding business keyword of each type of service.According to the message key and industry extracted in business request information
Service type list determines the type of service of business request information, specifically, will record in message key and type of service list
The corresponding business keyword of each type of service carry out character match, using the consistent type of service of character match as service request
The type of service of message.After the type of service for determining business request information, preset pre- examination & approval model library is inquired, and according to the industry
Service type obtains corresponding pre- examination & approval model, the industry of pre- the examination & approval model and business request information of acquisition from pre- examination & approval model library
Service type is corresponding, meets the needs of carrying out business approval to the business request information, it can be ensured that the specific aim of business approval mentions
The accuracy of high business approval.
In one embodiment, it in the type of service according to business request information, inquires before preset pre- examination & approval model,
Further include: it determines the corresponding operation system of type of service, and obtains the business approval rule and history service data of operation system；
It obtains examining model entirely according to business approval rule and the training of history service data；Pre- examination & approval rule are extracted from business approval rule
Then, pre- examination & approval rule includes identity information examination & approval rule, reference information examination & approval rule and business information examination & approval rule；According to identity
Information examination & approval rule, reference information examination & approval rule, business information examination & approval rule and the training of history service data obtain pre- examination & approval mould
Type.
Before the pre- examination & approval model of inquiry and full examination & approval model, need according to each business approval rule according to pre- examination & approval demand and
Full examination & approval demand carries out model training.Specifically, it is determined that the corresponding operation system of type of service, and from corresponding operation system
Obtain business approval rule and history service data.Wherein, business approval rule is examined for the business for the type of service
The examination & approval parameter verified when batch processing, for example, the age, native place, service-user cell-phone number net the time, communication condition,
Consumer behavior, law court are broken one's promise situation, people's row reference information, blacklist, social data etc.；History service data can be business system
The historical data of each service-user in system, can using the history service data as training data, in conjunction with business approval rule into
Row model training.
In the present embodiment, obtain examining model entirely according to business approval rule and the training of history service data.Specific implementation
When, history service data can be divided into training sample set and test sample collection, model training is carried out by training sample set,
It is tested by the model that test sample collection obtains training, to obtain the full examination & approval model of meet demand.Full examination & approval model
Full approval is carried out to business request information based on whole business approval rules, the examination & approval being related to are wide, examination & approval degree is deep, accuracy
It is high, it can be ensured that the air control effect of approval decisionmaking.
For examining model in advance, rule can be examined in advance according to actual pre- examination & approval requirement extract from business approval rule
Then, and according to the regular history service data training of the pre- examination & approval it obtains.Specifically, examination & approval rule can be, but not limited to include body in advance
Part information examination & approval rule, reference information examination & approval rule and business information examine rule.Wherein, identity information examination & approval rule for pair
Identity category information carries out verification examination & approval, such as age, native place, physiological characteristic recognition result；Reference information examination & approval rule for pair
Service-user reference category information carries out verification examination & approval, such as risk control parameter, blacklist number；Business information examination & approval rule is used for
Verification examination & approval are carried out to traffic class information, such as whether meeting business application condition etc..Regular according to obtained identity information examination & approval,
Reference information examination & approval rule and business information examination & approval rule and the training of history service data obtain the pre- examination & approval model.Pre- examination & approval
Model can carry out preliminary pre- examination & approval to business request information, reduce the complexity of examination & approval rule, can effectively improve examination & approval
Efficiency.
In one embodiment, it will examine in the pre- examination & approval model of parameter input, after obtaining pre- approval results, also wrap in advance
It includes: when the type of pre- approval results is examined for sampling observation, business request information being imported in preset request sampling observation pond；According to pre-
If sampling observation examine strategy, from request sampling observation pond in extract business request information carry out sampling observation examination & approval processing, obtain sampling observation examination & approval
As a result；It is that examination & approval are obstructed out-of-date when inspecting approval results by random samples, the type of pre- approval results is switched to full examination & approval, and enter according to industry
Service type inquires preset full examination & approval model；Otherwise, business approval result is obtained according to sampling observation approval results.
For examining the different pre- examination & approval of model output in advance as a result, can carry out corresponding to different examination & approval processing.Preliminary hearing
It includes full examination & approval that the type for criticizing result, which can be, but not limited to, sampling observation examination & approval, examination & approval pass through and examine in advance and do not pass through in advance.This implementation
In example,
After business request information to be imported to request sampling observation pond, server 104 is tactful according to preset sampling observation examination & approval, from asking
It asks extraction business request information in sampling observation pond to carry out sampling observation examination & approval processing, obtains sampling observation approval results.Wherein, sampling observation examination & approval strategy
It may include sampling observation trigger condition, inspected by random samples for determining when, can also include sampling observation extraction condition and sampling observation number
Condition, when meeting sampling observation trigger condition, server 104 is taken out according to sampling observation extraction condition and sampling observation number condition from request
Corresponding business request information is extracted in inspection pond and carries out sampling observation examination & approval processing, obtains sampling observation approval results.
If inspecting approval results by random samples is that examination & approval are obstructed out-of-date, show that discovery needs progress further in sampling observation examination & approval processing
It verifies and confirms, then the type of pre- approval results is switched to full examination & approval, and enter and preset full examination & approval are inquired according to type of service
Model, to carry out full examination & approval processing to the business request information.In addition, if sampling observation approval results are that sampling observation passes through, it can be with
Directly business approval result is obtained by sampling observation approval results.Wherein, sampling observation is by may include that business request information is drawn into
And after carrying out sampling observation examination & approval processing, sampling observation approval results are that sampling observation passes through, or examine strategy according to the sampling observation, business is asked
It asks message not to be drawn into, and defaults it and pass through for sampling observation.By carrying out sampling observation processing to business request information, can be improved pre-
Examine the accuracy of processing, it is ensured that business approval risk control effect.
In one embodiment, as shown in figure 3, the step of sampling observation examination & approval are handled, i.e., examine strategy according to preset sampling observation,
It extracts business request information from request sampling observation pond and inspect by random samples examining and include:
Step S301: the preset sampling observation examination & approval strategy of inquiry, it includes sampling observation trigger condition, sampling observation extraction that strategy is examined in sampling observation
Condition and sampling observation number condition.
For different 104 resources of server, it can be correspondingly arranged different sampling observation examination & approval strategies, with rationally and effectively sharp
Sampling observation examination & approval processing is carried out with resource.In the present embodiment, sampling observation examination & approval strategy include sampling observation trigger condition, sampling observation extraction condition and
Inspect number condition by random samples.Wherein, sampling observation trigger condition can be periodic triggers, such as carry out sampling observation according to the preset sampling observation period and examine
Batch processing, or quantitative triggering, as met when the number for detecting business request information to be inspected by random samples in request sampling observation pond
Triggering sampling observation when inspecting amount threshold by random samples, triggering sampling observation when being specifically as follows reach request sampling observation pond maximum capacity 85%.Sampling observation
Extraction condition is the rule of business request information to be extracted from request sampling observation pond, such as can extract for simple randomization, odevity
Serial number extraction etc.；Sampling observation number condition is to need to extract the number of business request information from request sampling observation pond, such as can take out
Take 20%, 1/3 or other quantitative numbers.
Step S303: when detect meet sampling observation trigger condition when, according to sampling observation extraction condition and sampling observation number condition from
Request sampling observation extracts business request information in pond.
After obtaining sampling observation examination & approval strategy, server 104 detects whether to meet sampling observation trigger condition, inspects triggering item by random samples when meeting
When part, triggering sampling observation examination & approval processing is extracted business from request sampling observation pond according to sampling observation extraction condition and sampling observation number condition and is asked
Seek message.For example, randomly selecting 20% business request information as business request information to be inspected by random samples from request sampling observation pond
Carry out sampling observation examination & approval processing.
Step S305: being sent to preset sampling observation approval node for business request information, carries out sampling observation examination & approval processing.
After extraction obtains business request information in request sampling observation pond, preset sampling observation approval node is sent it to, into
Row sampling observation examination & approval processing.Inspecting approval node by random samples can be artificial approval node, and business request information is sent to artificial examination & approval section
Point is carried out sampling observation examination & approval processing by the approving person of profession, is inspected by random samples with the preliminary hearing batch processing result to pre- examination & approval model, really
Protect the accuracy of business approval.
In one embodiment, carrying out corresponding review operation according to business approval result includes: when business approval result
When passing through for examination & approval, generates examination & approval and pass through prompting message；Examination & approval are issued by prompting message, and are carried out according to business request information
Business processing.
After obtaining business approval result, corresponding review operation is executed according to the business approval result, such as responds service request
Message carries out business processing, or rejects etc. business request information.Specifically, when business approval result is that examination & approval pass through
When, generate and issue examination & approval by prompting message, the examination & approval 102 business approval of prompt terminal is used for by prompting message as a result,
And corresponding business processing is carried out according to business request information, corresponding business form is such as obtained, business form is issued to end
End 102 promotes operation flow etc..
In one embodiment, carrying out corresponding review operation according to business approval result includes: when business approval result
It is obstructed out-of-date to examine, determine that examining unacceptable rejection examines parameter；And it is mentioned according to examination & approval parameter generation examination & approval rejection is rejected
Show message；It issues examination & approval and rejects prompting message.
On the other hand, if business approval result is that examination & approval do not pass through, show the business request information that terminal uploads face to face
It is unsatisfactory for corresponding business approval rule, corresponding business service can not be provided.At this point it is possible to determine that unacceptable reject of examination & approval is examined
Parameter is criticized, and examination & approval are generated according to rejection examination & approval parameter and reject prompting message, rejection prompting message will be finally examined and be issued to
Terminal 102, to notify 102 business approval result of terminal and corresponding rejection cause, so that terminal 102 can fully understand business
The examination & approval processing result of request message.
In one embodiment, as shown in figure 4, providing a kind of business approval method, comprising the following steps:
Step S401: business request information is received, and extracts message key from business request information；
Step S402: preset type of service list is inquired；
Step S403: according to message key and type of service list, the type of service of business request information is determined；
Step S404: from preset pre- examination & approval model library, pre- examination & approval model corresponding with type of service is inquired；
Step S405: extracting pre- examination & approval parameter from business request information, and will examine the pre- examination & approval model of parameter input in advance
In, obtain pre- approval results.
Server 104 receives the business request information that terminal 102 uploads, and the business request information to operation system for asking
Seek corresponding business service.The type of service of the business request information is determined, specifically by message key and preset service class
It is recorded in type list, the corresponding business keyword of each type of service carries out character match, by the consistent service class of character match
Type of service of the type as business request information, and inquiry is corresponding with the type of service pre- from preset pre- examination & approval model library
Model is examined, preliminary hearing batch processing is carried out to business request information by the pre- examination & approval model.
Step S406: judging the type of pre- approval results, when the type of pre- approval results is full examination & approval, executes step
S407；When the type of pre- approval results is sampling observation examination & approval, step S410 is executed.
Step S407: preset full examination & approval model is inquired according to type of service, full model of examining is according to whole business approvals
Rule building obtains；
Step S408: extracting full examination & approval parameter from business request information, and will examine the full examination & approval model of parameter input entirely
In, obtain full approval results；
Step S409: the business approval of business request information is obtained according to full approval results as a result, and according to business approval
As a result corresponding review operation is carried out.
It is that rule composition is examined with reference to partial service by examining preliminary hearing batch processing of the model to business request information in advance
The business approval processing that carries out of pre- examination & approval rule, corresponding obtained different pre- examination & approval are as a result, corresponding examination & approval can be carried out
Processing.After obtaining pre- approval results, the type of the pre- approval results is determined, when the type of pre- approval results is full examination & approval, look into
Preset full examination & approval model corresponding with the type of service of business request information is ask, this is examined model entirely and advises according to whole business approvals
Then building obtains.Compared to pre- examination & approval model, full model of examining constructs to obtain according to whole business approval rules, specifically can be complete
Business approval rule in portion's is obtained by neural network algorithm training, is related to all business approval rules, business approval
Accuracy is high, it can be ensured that the air control effect of approval decisionmaking.
After obtaining business approval result, corresponding review operation is executed according to the business approval result, such as responds service request
Message carries out business processing, or rejects etc. business request information.When business approval result is that examination & approval pass through, generate simultaneously
Examination & approval are issued by prompting message, the examination & approval are by prompting message for 102 business approval of prompt terminal as a result, and according to business
Request message carries out corresponding business processing, such as obtains corresponding business form, and business form is issued to terminal 102 and promotes industry
Process of being engaged in etc..If business approval result is that examination & approval do not pass through, show that business request information that terminal face to face uploads is unsatisfactory for pair
The business approval rule answered, can not provide corresponding business service.Parameter is examined at this point it is possible to determine and examine unacceptable rejection,
And parameter is examined according to the rejection and generates examination & approval rejection prompting message, prompting message finally is rejected into examination & approval and is issued to terminal 102,
To notify 102 business approval result of terminal and corresponding rejection cause, so that terminal 102 can fully understand business request information
Examination & approval processing result.
Step S410: business request information is imported in preset request sampling observation pond；
Step S411: examining strategy according to preset sampling observation, extracts business request information from request sampling observation pond and is taken out
Batch processing is examined, sampling observation approval results are obtained；
Step S412: judge to inspect whether approval results do not pass through by random samples, if so, thening follow the steps S413；Otherwise, step is executed
S410。
Step S413: the type of pre- approval results is switched to full examination & approval, and return step S407.
Step S414: business approval result is obtained according to sampling observation approval results.
When the type of pre- approval results is sampling observation examination & approval, sampling observation examination & approval are carried out to business request information and are handled, and according to
Sampling observation approval results obtain business approval result.Specifically, when the type of pre- approval results is sampling observation examination & approval, by service request
Message imports in preset request sampling observation pond, and type of the request sampling observation pond for storing pre- approval results is each industry of sampling observation examination & approval
Business request message, and sampling observation processing is carried out by each business request information in 104 pairs of server request sampling observation ponds, and according to sampling observation
Approval results carry out corresponding processing.
It should be understood that although each step in the flow chart of Fig. 2-4 is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 2-4
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately
It executes.
In one embodiment, as shown in figure 5, providing a kind of business approval device, comprising: pre- examination & approval pattern query mould
Block 501, preliminary hearing batch processing module 503, full examination & approval pattern query module 505, full examination & approval processing module 507 and business approval result
Obtain module 509, in which:
Pre- examination & approval pattern query module 501, for receiving business request information, and according to the service class of business request information
Type, inquires preset pre- examination & approval model, and pre- model of examining is constructed according to the pre- examination & approval rule that partial service examines rule composition
It arrives；
Preliminary hearing batch processing module 503, for extracting pre- examination & approval parameter from business request information, and it is defeated to examine in advance parameter
Enter in pre- examination & approval model, obtains pre- approval results；
Full examination & approval pattern query module 505, for being looked into according to type of service when the type of pre- approval results is full examination & approval
Preset full examination & approval model is ask, full model of examining constructs to obtain according to whole business approval rules；
Full examination & approval processing module 507, for extracting full examination & approval parameter from business request information, and it is defeated to examine full parameter
Enter in full examination & approval model, obtains full approval results；
Business approval result obtains module 509, for obtaining the business approval of business request information according to full approval results
As a result, and carrying out corresponding review operation according to business approval result.
In one embodiment, examination & approval pattern query module 501 includes keyword extraction unit, the inquiry of type of service table in advance
Unit, type of service true ground unit and pre- examination & approval pattern query unit, in which: keyword extraction unit is used for from service request
Message key is extracted in message；Type of service table query unit, for inquiring preset type of service list；Type of service is true
Ground unit, for determining the type of service of business request information according to message key and type of service list；Pre- examination & approval model
Query unit, for inquiring pre- examination & approval model corresponding with type of service from preset pre- examination & approval model library.
It in one embodiment, further include that training data obtains module, examines model training module, pre- examination & approval rule entirely really
Cover half block and pre- examination & approval model training module, in which: training data obtains module, for determining the corresponding business system of type of service
System, and obtain the business approval rule and history service data of operation system；Full examination & approval model training module, for according to business
Examination & approval rule and the training of history service data obtain examining model entirely；It is pre- to examine regular determining module, for being advised from business approval
Pre- examination & approval rule is extracted in then, pre- examination & approval rule includes identity information examination & approval rule, reference information examination & approval rule and business information
Examination & approval rule；Pre- examination & approval model training module, for being believed according to identity information examination & approval rule, reference information examination & approval rule, business
Breath examination & approval rule and the training of history service data obtain pre- examination & approval model.
It in one embodiment, further include sampling observation pond import modul, sampling observation examination & approval processing module and sampling observation approval results mould
Block, in which: sampling observation pond import modul, for when the type of pre- approval results is sampling observation examination & approval, business request information to be imported
In preset request sampling observation pond；Sampling observation examination & approval processing module, for examining strategy according to preset sampling observation, from request sampling observation pond
It extracts business request information and carries out sampling observation examination & approval processing, obtain sampling observation approval results；Approval results module is inspected by random samples, for when sampling observation
Approval results are that examination & approval are obstructed out-of-date, the type of pre- approval results are switched to full examination & approval, and enter and inquire according to type of service
Preset full examination & approval model；Otherwise, business approval result is obtained according to sampling observation approval results.
In one embodiment, sampling observation examination & approval processing module includes sampling observation policy lookup unit, request message extracting unit
Processing unit is examined with sampling observation, in which: sampling observation policy lookup unit, for inquiring preset sampling observation examination & approval strategy, sampling observation examination & approval
Strategy includes sampling observation trigger condition, sampling observation extraction condition and sampling observation number condition；Request message extracting unit is detected for working as
When meeting sampling observation trigger condition, service request is extracted from request sampling observation pond according to sampling observation extraction condition and sampling observation number condition and is disappeared
Breath；Sampling observation examination & approval processing unit carries out at sampling observation examination & approval for business request information to be sent to preset sampling observation approval node
Reason.
In one embodiment, it includes passing through prompt unit and Service Processing Unit that business approval result, which obtains module 509,
Wherein: by prompt unit, for generating examination & approval and passing through prompting message when business approval result is that examination & approval pass through；At business
Unit is managed, carries out business processing for issuing examination & approval by prompting message, and according to business request information.
In one embodiment, it is single including rejection parameter acquiring unit, rejection prompt to obtain module 509 for business approval result
Member and rejection prompt issuance unit, in which: parameter acquiring unit is rejected, it is obstructed out-of-date to examine for working as business approval result,
Determine that examining unacceptable rejection examines parameter；Prompt unit is rejected, be used for and is rejected according to examination & approval parameter generation examination & approval are rejected
Prompting message；Prompt issuance unit is rejected, rejects prompting message for issuing examination & approval.
Specific about business approval device limits the restriction that may refer to above for business approval method, herein not
It repeats again.Modules in above-mentioned business approval device can be realized fully or partially through software, hardware and combinations thereof.On
Stating each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also store in a software form
In memory in computer equipment, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 6.The computer equipment includes processor, memory and the network interface connected by system bus.
Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory of the computer equipment includes non-easy
The property lost storage medium, built-in storage.The non-volatile memory medium is stored with operating system and computer program.The built-in storage
Operation for operating system and computer program in non-volatile memory medium provides environment.The network of the computer equipment connects
Mouth with external terminal by network connection for being communicated.To realize that a kind of business is examined when the computer program is executed by processor
The method of criticizing.
It will be understood by those skilled in the art that structure shown in Fig. 6, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, which is stored with
Computer program, the processor perform the steps of when executing computer program
Business request information is received, and according to the type of service of business request information, inquires preset pre- examination & approval model, in advance
Examination & approval model constructs to obtain according to the pre- examination & approval rule that partial service examines rule composition；
Pre- examination & approval parameter is extracted from business request information, and will be examined in advance in the pre- examination & approval model of parameter input, is obtained pre-
Approval results；
When the type of pre- approval results is full examination & approval, preset full examination & approval model is inquired according to type of service, it is complete to examine
Model constructs to obtain according to whole business approval rules；
Full examination & approval parameter is extracted from business request information, and will be examined entirely in the full examination & approval model of parameter input, is obtained complete
Approval results；
The business approval of business request information is obtained according to full approval results as a result, and carrying out pair according to business approval result
The review operation answered.
In one embodiment, it is also performed the steps of from business request information when processor executes computer program
Extract message key；Inquire preset type of service list；According to message key and type of service list, the business of determination is asked
Seek the type of service of message；From preset pre- examination & approval model library, pre- examination & approval model corresponding with type of service is inquired.
In one embodiment, it is corresponding that determining type of service is also performed the steps of when processor executes computer program
Operation system, and obtain the business approval rule and history service data of operation system；According to business approval rule and history
Business datum training obtains examining model entirely；Pre- examination & approval rule is extracted from business approval rule, pre- examination & approval rule includes identity
Information examination & approval rule, reference information examination & approval rule and business information examination & approval rule；According to identity information examination & approval rule, reference information
Examination & approval rule, business information examination & approval rule and the training of history service data obtain pre- examination & approval model.
In one embodiment, the class when pre- approval results is also performed the steps of when processor executes computer program
When type is sampling observation examination & approval, business request information is imported in preset request sampling observation pond；Strategy is examined according to preset sampling observation, from
Business request information is extracted in request sampling observation pond and carries out sampling observation examination & approval processing, obtains sampling observation approval results；When sampling observation approval results
It is obstructed out-of-date to examine, the type of pre- approval results is switched to full examination & approval, and enter preset complete according to type of service inquiry
Examine model；Otherwise, business approval result is obtained according to sampling observation approval results.
In one embodiment, inquiry preset sampling observation is also performed the steps of when processor executes computer program to examine
Strategy is criticized, sampling observation examination & approval strategy includes sampling observation trigger condition, sampling observation extraction condition and sampling observation number condition；It is taken out when detecting to meet
When examining trigger condition, business request information is extracted from request sampling observation pond according to sampling observation extraction condition and sampling observation number condition；It will
Business request information is sent to preset sampling observation approval node, carries out sampling observation examination & approval processing.
In one embodiment, it also performs the steps of when processor executes computer program when business approval result is
When examination & approval pass through, generates examination & approval and pass through prompting message；Examination & approval are issued by prompting message, and industry is carried out according to business request information
Business processing.
In one embodiment, it also performs the steps of when processor executes computer program when business approval result is
It is obstructed out-of-date to examine, and determines that examining unacceptable rejection examines parameter；And examination & approval rejection prompt is generated according to examination & approval parameter is rejected
Message；It issues examination & approval and rejects prompting message.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Business request information is received, and according to the type of service of business request information, inquires preset pre- examination & approval model, in advance
Examination & approval model constructs to obtain according to the pre- examination & approval rule that partial service examines rule composition；
Pre- examination & approval parameter is extracted from business request information, and will be examined in advance in the pre- examination & approval model of parameter input, is obtained pre-
Approval results；
When the type of pre- approval results is full examination & approval, preset full examination & approval model is inquired according to type of service, it is complete to examine
Model constructs to obtain according to whole business approval rules；
Full examination & approval parameter is extracted from business request information, and will be examined entirely in the full examination & approval model of parameter input, is obtained complete
Approval results；
The business approval of business request information is obtained according to full approval results as a result, and carrying out pair according to business approval result
The review operation answered.
In one embodiment, it also performs the steps of when computer program is executed by processor from business request information
Middle extraction message key；Inquire preset type of service list；According to message key and type of service list, business is determined
The type of service of request message；From preset pre- examination & approval model library, pre- examination & approval model corresponding with type of service is inquired.
In one embodiment, determining type of service pair is also performed the steps of when computer program is executed by processor
The operation system answered, and obtain the business approval rule and history service data of operation system；According to business approval rule and go through
The training of history business datum obtains examining model entirely；Pre- examination & approval rule is extracted from business approval rule, pre- examination & approval rule includes body
Part information examination & approval rule, reference information examination & approval rule and business information examine rule；According to identity information examination & approval rule, reference letter
Breath examination & approval rule, business information examination & approval rule and the training of history service data obtain pre- examination & approval model.
In one embodiment, it also performs the steps of when computer program is executed by processor when pre- approval results
When type is sampling observation examination & approval, business request information is imported in preset request sampling observation pond；Strategy is examined according to preset sampling observation,
Business request information is extracted from request sampling observation pond and carries out sampling observation examination & approval processing, obtains sampling observation approval results；When sampling observation examination & approval knot
Fruit is that examination & approval are obstructed out-of-date, and the type of pre- approval results is switched to full examination & approval, and is entered preset according to type of service inquiry
Full examination & approval model；Otherwise, business approval result is obtained according to sampling observation approval results.
In one embodiment, inquiry preset sampling observation is also performed the steps of when computer program is executed by processor
Examination & approval strategy, sampling observation examination & approval strategy include sampling observation trigger condition, sampling observation extraction condition and sampling observation number condition；Meet when detecting
When inspecting trigger condition by random samples, business request information is extracted from request sampling observation pond according to sampling observation extraction condition and sampling observation number condition；
Business request information is sent to preset sampling observation approval node, carries out sampling observation examination & approval processing.
In one embodiment, it also performs the steps of when computer program is executed by processor when business approval result
When passing through for examination & approval, generates examination & approval and pass through prompting message；Examination & approval are issued by prompting message, and are carried out according to business request information
Business processing.
In one embodiment, it also performs the steps of when computer program is executed by processor when business approval result
It is obstructed out-of-date to examine, determine that examining unacceptable rejection examines parameter；And it is mentioned according to examination & approval parameter generation examination & approval rejection is rejected
Show message；It issues examination & approval and rejects prompting message.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of business approval method, which comprises
Business request information is received, and according to the type of service of the business request information, inquires preset pre- examination & approval model, institute
Pre- examination & approval model is stated to construct to obtain according to the pre- examination & approval rule that partial service examines rule composition；
Pre- examination & approval parameter is extracted from the business request information, and the pre- examination & approval parameter is inputted into the pre- examination & approval model
In, obtain pre- approval results；
When the type of the pre- approval results is full examination & approval, preset full examination & approval model, institute are inquired according to the type of service
Full examination & approval model is stated to construct to obtain according to whole business approval rules；
Full examination & approval parameter is extracted from the business request information, and the full examination & approval parameter is inputted into the full examination & approval model
In, obtain full approval results；
The business approval of the business request information is obtained according to the full approval results as a result, and according to the business approval knot
Fruit carries out corresponding review operation.
2. the method according to claim 1, wherein the type of service according to the business request information,
Inquire preset pre- examination & approval model, comprising:
Message key is extracted from the business request information；
Inquire preset type of service list；
According to the message key and the type of service list, the type of service of the business request information is determined；
From preset pre- examination & approval model library, pre- examination & approval model corresponding with the type of service is inquired.
3. the method according to claim 1, wherein in the service class according to the business request information
Type is inquired before preset pre- examination & approval model, further includes:
It determines the corresponding operation system of the type of service, and obtains the business approval rule and history service of the operation system
Data；
The full examination & approval model is obtained according to the business approval rule and history service data training；
The pre- examination & approval rule is extracted from the business approval rule, the pre- examination & approval rule includes identity information examination & approval rule
Then, reference information examination & approval rule and business information examination & approval rule；
According to identity information examination & approval rule, the reference information examine rule, the business information examines rule and described
The training of history service data obtains the pre- examination & approval model.
4. the method according to claim 1, wherein described input the pre- examination & approval mould for the pre- examination & approval parameter
In type, after obtaining pre- approval results, further includes:
When the type of the pre- approval results is sampling observation examination & approval, the business request information is imported into preset request and inspects pond by random samples
In；
Strategy is examined according to preset sampling observation, the business request information is extracted from request sampling observation pond and carries out sampling observation examination & approval
Processing obtains sampling observation approval results；
When the sampling observation approval results be examine it is obstructed out-of-date, the type of the pre- approval results is switched to full examination & approval, is gone forward side by side
Enter and preset full examination & approval model is inquired according to the type of service；Otherwise, the business is obtained according to the sampling observation approval results
Approval results.
5. according to the method described in claim 4, it is characterized in that, it is described according to preset sampling observation examine strategy, asked from described
It asks to extract the business request information in sampling observation pond and inspect by random samples examining and includes:
Preset sampling observation examination & approval strategy is inquired, the sampling observation examination & approval strategy includes sampling observation trigger condition, sampling observation extraction condition and pumping
Examine number condition；
When detect meet the sampling observation trigger condition when, according to the sampling observation extraction condition and the sampling observation number condition from institute
It states in request sampling observation pond and extracts the business request information；
The business request information is sent to preset sampling observation approval node, carries out sampling observation examination & approval processing.
6. according to claim 1 to method described in 5 any one, which is characterized in that described according to the business approval result
Carrying out corresponding review operation includes:
When the business approval result is that examination & approval pass through, generates examination & approval and pass through prompting message；
It issues the examination & approval and carries out business processing by prompting message, and according to the business request information.
7. according to the method described in claim 6, it is characterized in that, described carry out corresponding examine according to the business approval result
Batch operation includes:
When the business approval result is to examine obstructed out-of-date, the determining unacceptable rejection examination & approval parameter of examination & approval；
And parameter is examined according to the rejection and generates examination & approval rejection prompting message；
It issues the examination & approval and rejects prompting message.
8. a kind of business approval device, which is characterized in that described device includes:
Pre- examination & approval pattern query module, for receiving business request information, and according to the type of service of the business request information,
Preset pre- examination & approval model is inquired, the pre- examination & approval model is constructed according to the pre- examination & approval rule that partial service examines rule composition
It arrives；
Preliminary hearing batch processing module, for extracting pre- examination & approval parameter from the business request information, and by the pre- examination & approval parameter
It inputs in the pre- examination & approval model, obtains pre- approval results；
Full examination & approval pattern query module, for when the type of the pre- approval results is full examination & approval, according to the type of service
Preset full examination & approval model is inquired, the full examination & approval model constructs to obtain according to whole business approval rules；
Full examination & approval processing module, for extracting full examination & approval parameter from the business request information, and by the full examination & approval parameter
It inputs in the full examination & approval model, obtains full approval results；
Business approval result obtains module, for obtaining the business approval of the business request information according to the full approval results
As a result, and carrying out corresponding review operation according to the business approval result.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110147934A (en) * | 2019-04-17 | 2019-08-20 | 深圳壹账通智能科技有限公司 | Service request processing method, device, computer equipment and storage medium |
| CN111210338A (en) * | 2019-12-31 | 2020-05-29 | 广东华兴银行股份有限公司 | Credit business credit granting approval method, system, background server and storage medium |
| CN111709716A (en) * | 2020-06-18 | 2020-09-25 | 北京同邦卓益科技有限公司 | Data approval method, device, equipment and storage medium |
| CN112200656A (en) * | 2020-09-17 | 2021-01-08 | 中国建设银行股份有限公司 | On-line pre-approval method, device, medium and electronic equipment for house loan |
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