CN105069686B - Case automatic testing method and system - Google Patents
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- CN105069686B CN105069686B CN201510497231.2A CN201510497231A CN105069686B CN 105069686 B CN105069686 B CN 105069686B CN 201510497231 A CN201510497231 A CN 201510497231A CN 105069686 B CN105069686 B CN 105069686B
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Abstract
The present invention relates to a kind of case automatic testing method, including: model binding step, rule applying step, rules results filtration step, and testing result generation step.Case automatic testing method according to embodiments of the present invention can detect vehicle insurance Claims Resolution during it is possible that swindle, abnormal activity, and can to vehicle insurance settle a claim during all kinds of business objects detect and control.
Description
Technical field
The present invention relates to a kind of case automatic testing method and system.
Background technology
At present, have, relate to or provide vehicle insurance Claims Resolution business and/or the insurance company of service and other enterprises and mechanism,
Vehicle insurance settle a claim during it is possible that swindle, abnormal activity, and be difficult to vehicle insurance settle a claim during all kinds of business
Object, as the price of man-hour, accessory etc. detects and controls.
Summary of the invention
Technical problem
In view of this, the technical problem to be solved in the present invention is: provide a kind of case automatic testing method and system, it is possible to
Detection vehicle insurance Claims Resolution during it is possible that swindle, abnormal activity, and can to vehicle insurance settle a claim during all kinds of business
Object detects and controls.
Solution
In order to solve above-mentioned technical problem, the invention provides a kind of case automatic testing method, it is characterised in that include
Following steps:
Model binding step, the case model defined in the case object provided client according to sequencing and system is held
Row model is bound, and specifically includes following sub-step:
Serializing/resolve sub-step, for the case provided with XML, JSON or Excel form client provided
Part object is converted to case model；
Unserializing/parsing post processing sub-step, uses the mode identical with searching serializing/analysis program, look for
Unserializing/parsing the post processor of the customization of configuration；And model object identification sub-step, call identification service and carry
Donor program, the field contents extracting character property from the case model object that standard is unitized passes to identify clothes as parameter
Business supplier, identifies that ISP identifies incoming word content, matches the object of definition in system-based data base；
Rule applying step, based on Java Open Framework EasyRules, distributes an independent rule for each rule set
Engine, or become rule execution environment, in same rule set, it is intended that the detection ordering of each detected rule and mutual depending on
The relation of relying, thus according to the object of the accurate definition identified in described model object identification sub-step, carry out finer, accurate
True analysis and judgement；
Rules results filtration step, search whether the running environment of system provides for the rule set currently completed and
Or for the rule application results filter that strictly all rules/rule set is suitable for, if inquiring corresponding filter, then called
Rule application result in described rule applying step is processed by filter；And testing result generation step, complete rule
After then application, rules results are collected and filtered, rule detection result is customized and formats and returns to client, wherein, fixed
The justice composer interface IClaimCheckResponseBuilder of testing result, thinks that all kinds of client provides height to customize
Realization.
Beneficial effect
Case automatic testing method according to embodiments of the present invention can detect during vehicle insurance is settled a claim it is possible that take advantage of
Swindleness, abnormal activity, and all kinds of business objects during vehicle insurance Claims Resolution can be detected and control.
According to below with reference to the accompanying drawings detailed description of illustrative embodiments, the further feature of the present invention and aspect being become
Clear.
Accompanying drawing explanation
The accompanying drawing of the part comprising in the description and constituting description together illustrates the present invention's with description
Exemplary embodiment, feature and aspect, and for explaining the principle of the present invention.
Fig. 1 illustrates the flow process of case automatic testing method.
Detailed description of the invention
Case automatic testing method and the system of the present invention provide a user with the form of Restful Web Services
Vehicle insurance Claims Resolution case detection service.This system includes: the assembly of system-oriented target customer, rules platform, data platform and
Expert's case detecting system.Vehicle insurance is settled a claim case by the assembly of described system-oriented target customer by application case detected rule
Detecting, detected rule is refined during operation by company in the way of artificial or system Intelligent data analysis, writing.This
The interface of the case automatic checkout system definition rule of invention, comprises the input of rule, the execution of rule, the output of rule and rule
Type of organization then.Described rules platform and described data platform, respectively vehicle insurance detected rule provide theoretical, fact basis and
Data are supported.
The detection object of the case automatic checkout system of the present invention is vehicle insurance Claims Resolution case, to this end, described system-oriented mesh
The assembly of mark client contains vehicle insurance Claims Resolution case object unification, standardized definition, i.e. object model.The case of the present invention
Part automatic checkout system provide the detection for vehicle insurance Claims Resolution case analyze all with object defined in described object model and/or
Its subobject comprised is carried out.
The basic structure of described object model is made and is defined as follows:
Case
Insurance company
The number of reporting a case to the security authorities
Report a case to the security authorities information
Survey information
O surveys task<set>
Setting loss information<set>
O repair shop information
■ title
■ qualification
■ type
O information of vehicles
■ vehicle
■ license plate number
■ Vehicle Identify Number
O man-hour<set>
■ title
■ repairs type
■OEM
■ quantity
■ price
O accessory<set>
■ title
■OEM
■ quantity
■ price
O adjuvant<set>
O title
oOEM
O quantity
O price
People hinders information<set>
Policy information<set>
O number of policy
O policy type
O information of vehicles
O risk information<set>
O arranges<set>especially
O history compensation case<set>
O corrects situation<set>
Case photo
O title
O type
O shooting time
O obtains address
The Code Design of case object model has used for reference DynaBean and .NET in Java Object-Oriented Design
The design concept of Dynamic object (ExpandoObject, ElasticObject) under Framework, all of case model
Object all inherits DynaModel type, and it provides and carries in addition to static statement, the particular service word that user provides
The intermediate data fields function produced during section, or case detection.The realization mechanism of DynaModel is for utilizing HashMap
As the storage of elastic field, and unified field is provided to arrange and the API approach of acquisition.The purpose of such design is in order to enough
It is that case object model can accommodate the diversified case object model data collection from each client, and is carried on case
The transitory state data produced during detection.
The case automatic checkout system of the present invention, according to the sequencing in case testing process, comprises following function
Module:
Model binding module
Rule application module
Rules results filtering module
Testing result generation module
Model binding module
When user accesses the case detection service of the case automatic checkout system offer of the present invention, respective difference can be provided
The different case model of case model from the definition of the case automatic checkout system of the present invention.In order to make the case of client
Part enters rule application module thus detects, and the case automatic checkout system of the present invention defines model binding function mould
Block.The case model defined in case object that client is provided by described model binding module according to sequencing and system performs
Following operation:
Serializing/resolve
Unserializing/parsing post processing
Model object identification
Serializing/resolve
Serializing/resolving is the case pair provided with XML, JSON or Excel form client provided
As being converted to the case model that the case automatic checkout system of the present invention defines.Model binding module uses Java EE framework to carry
Confession rely on that the mechanism of injection is embodied as can the two-stage mechanism of customization.When receiving the case detection request of client's transmission and adjusting
When retrieving by case, case automatic checkout system reads the customer information of configuration, uses customer name to utilize Java EE's
CDI Named Qualifier mechanism finds as customization unserializing/analysis program, and calls the case obtaining unitizing
Part model object.
Case automatic checkout system achieves the mode in graphically user face and mates and generate XML serialization/parsing class
Function.Its XML serialization generated/parsing class uses the STAX technology of JXAB under Java EE to resolve XML document, work
Making principle is during convenient XML document, will read the XML object properties through conversion assignment to Java.Data type
Conversion provide the foundation the conversion between initial form, XML element value is enumerated member and is mapped the support mated with Java.
Unserializing/parsing post processing
After serializing/resolving completes, model binding module uses the side identical with searching serializing/analysis program
Formula, look for the unserializing/parsing post processor of the customization of configuration.When searching and getting post processor,
Model binding module is called post processor and unitized case model is carried out post processing, and the content of post processing comprises following
Content:
Case model object structural adjustment, as being similar to the process in Reduce stage in Map/Reduce algorithm；
The special handling of special field, as type is changed, spcial character pruning etc.；
The calculating of data value field, such as accessory, the price in man-hour is based on discount, the calculating of the field such as administration fee.
Model object identification
After completing serializing/parsing and post processing, it is more complete that system has obtained ratio, standardized case model pair
As.In order to more unify accurate data basis to rule application offer afterwards, model binding module is called case and is automatically examined
Identification ISP's program of examining system, the field contents extracting character property from the case model object that standard is unitized is made
Pass to identify ISP for parameter.Identify that ISP identifies incoming word content, match system-based number
According to the object of the definition in storehouse, such as repair shop, branch company, vehicle, accessory.Follow-up rule application module identifies according to these
The object of these accurate definition, can carry out more finely, analyze accurately and judge.
Model object sets architectural framework and is divided into three levels:
Model object identification service organization person
Model object identification ISP
Recognition logic realizes
Model object identification service organization person
Model object identification service organization person can be customization, and definition identifies the scope of object, the knowledge of order
Other organization procedure.When model binding module carries out case model object identification, obtain the model object identification that system default provides
Service organization person, calls its interface API to obtain model object identification ISP's list.Then, model binding module time
Go through and the interface API of calling model Object identifying ISP carries out the identification of model object.
Model object identification ISP
Model object identification ISP is responsible for the identification work of business object in case model object.It operates object
For unitized case object, operation principle is to extract relevant literal field from case object, and it is real to call recognition logic
Existing, the field of word is mated with the data object in system or defined in basic database.Model binding module carries
The identification ISP having supplied business object in following case object realizes:
Branch company of insurance company
Repair shop
Vehicle
Accessory
Man-hour
Adjuvant
Recognition logic realizes
Recognition logic realize provide basis, atomicity, the text analyzing little with case model object dependency and/
Or database enquiry services.Through services such as its text analyzing, database retrievals, model object identification ISP is by case
Literal field in model object is mated with the data object defined in basic database or system.
Rule application module
The rule application module of case automatic checkout system has used for reference the concept of the regulation engine specification of JSR-94, and based on
Java Open Framework EasyRules realizes the application of case detected rule.Rule application module is application case in units of rule set
Part detected rule.Relatedness the most regular according to rule set, or from being abstracted into one group of case inspection that concrete combination is formed
Gauge set then.Case rule application module is that each rule set distributes an independent regulation engine, or becomes rule
Perform environment.In same rule set, need to specify the detection ordering of each detected rule and mutual dependence.
The form Design of case detected rule is based on rule definition in EasyRules framework.Rule application is divided into two rank
Section, first, case object model is estimated by case detected rule, and the basis source of assessment is in operation team in industry
Knowledge accumulation and basic database, the result of rule evaluation is the value of boolean type.For swindle rule, assessment
Whether the case that result meaning value is detected exists the risk of swindle；For price detection case, assessment result means
In case, whether the quotation of business object is higher than the normal level defined in basic database.After rule evaluation completes, rule
According to the behavior of result executing rule of assessment.In case automatic checkout system, the behavior of rule is presented as record leeward
The assessment result of danger or price testing result.After rule has applied all of rule detection, these rule of unified collection
They are returned to client by application result then.
Rules results filtering module
When case automatic detection module completes when each rule set is applied and completes the application of strictly all rules collection, can search
In the running environment of system, if provide for the rule set currently completed and or be suitable for for strictly all rules/rule set
Rule application results filter.If inquiring corresponding filter, then call filter and rule application result is processed.
The application scenarios of rules results filter comprises following a few class:
According to the Maturity of rule, the execution result of rule is screened
Rule is divided into Three Estate according to Maturity by case automatic checkout system: exploitation, and test produces.Production phase
Rules results will be transmitted directly to client, alternatively, client can configure the rule return of test phase, and the development phase advises
Testing result then advises not returning strongly.
According to the testing result of rule, the risk class of case is estimated
According to the risk class coefficient of rule detection result respective rule, assessment calculates the risk class rank of case.
Case testing process controls
According to rule detection result and/or the characteristic of its respective rule of case, assessment case is the need of further
Hand inspection confirms.
The self-defined process of rule set application result
Each rule set can define respective rule detection result filters, enters the testing result in rule set
Row filter or process.
Testing result generation module
Case automatic checkout system, after completing rule application, testing result collection and filtering, needs rule detection
Result customizes and formats and returns to client.Case automatic checkout system defines the composer interface of testing result
IClaimCheckResponseBuilder, thinks that all kinds of client provides the realization that height customizes.Detection knot will returned
When fruit is to customer, case automatic checkout system is searched the testing result composer in runtime environment and is realized, and calls it to obtain
Take the case testing result that can return to client.
Case automatic checkout system acquiescence provides high flexible, can meet the testing result structure of major part customer requirement
Build device to realize.
The execution result (RuleExecutionResult) of rule is converted to by the case testing result composer of acquiescence
Risk object defined in system, or self-defining Risk subclass.Risk object comprises and puies forward risk classifications, risk title, risk
Show the definition of word.Acquiescence realizes being converted to rule detection result (RuleExecutionResult) work of Risk object
The type that realizes of the RuleExecutionResultToRiskMapper interface defined by it completes.
RuleExecutionResultToRiskMapper defines it can be to rule being performed result degree of conversion rank
Enumerate, main level, rule level, the self-defined level of client.Acquiescence realizes searching defined in runtime environment first with CDI mechanism
All RuleExecutionResultToRiskMapper realize.Performing result for each rule, acquiescence realizes first seeking the opinion of
All of RuleExecutionResultToRiskMapper realizes performing rule the degree of conversion of result, chooses enough maximums
Rule is performed result and is converted to the realization of Risk by degree.Get suitably
After RuleExecutionResultToRiskMapper realizes, its conversion method is called in acquiescence realization, rule is performed result and turns
It is changed to Risk object.Risk object after conversion is serialized the most at last, and returns to client.
Case detection service access process
The external interface of the case automatic checkout system of the present invention is Restful Web api interface.Client accesses case
The detection service palpus following process of execution:
Communication link is arranged
In order to ensure the stability of case data confidentiality and service, between client and the service of case automatic checkout system
Communication should be with the SSL HTTP secure connection of encryption, or the dedicated network link setting up Internet service provider's level carries out double
Data communication between method, system.Before accessing case detection service, both sides should consult and appoint communication link scheme.
Model Matching is arranged
The case automatic checkout system detection service of the present invention is case detection model based on self definition.Therefore connecing
Before entering service, both sides need the form of agreement transmission data, case model object structure between JSON or XML, and both sides
And the coupling of field contents.
The testing result form definition that customer can accept
Customer needs to provide it automatically to detect the requirement in terms of rule detection result form and content, the part of the present invention
System is according to requiring that specification realizes the customized solution of testing result.
The case automatic testing method of the present invention comprises the following steps:
Step S201, model binding step.Define in case object client provided according to sequencing and system
Case model performs model binding, concrete following following sub-step:
Serializing/resolve sub-step, for client is provided with XML, JSON or Excel form offer
Case object is converted to the case model of the case automatic checkout system definition of the present invention.
Unserializing/parsing post processing sub-step, uses the mode identical with searching serializing/analysis program, searches
Unserializing/parsing post processor for the customization of configuration.
Model object identification sub-step, calls identification ISP's program, from the case model pair that standard is unitized
As the field contents of middle extraction character property passes to identify ISP as parameter, identify that ISP identifies incoming
Word content, matches the object of definition in system-based data base.
Step S202, rule applying step.Use for reference the concept of the regulation engine specification of JSR-94, based on Java Open Framework
EasyRules realizes the application of case detected rule.In units of rule set, case detection rule are applied in rule applying step
Then.Relatedness the most regular according to rule set, or from being abstracted into the concrete one group of case detected rule combining and being formed
Set.Rule applying step is each rule set distributes an independent regulation engine, or becomes rule execution environment.
In same rule set, need to specify the detection ordering of each detected rule and mutual dependence.According to described model pair
As identifying the object of the accurate definition identified in sub-step, can carry out more finely, analyze accurately and judge.
The form Design of case detected rule is based on rule definition in EasyRules framework.Rule application is divided into two rank
Section, first, case object model is estimated by case detected rule, and the basis source of assessment is in operation team in industry
Knowledge accumulation and basic database, the result of rule evaluation is the value of boolean type.For swindle rule, assessment
Whether the case that result meaning value is detected exists the risk of swindle；For price detection case, assessment result means
In case, whether the quotation of business object is higher than the normal level defined in basic database.After rule evaluation completes, rule
According to the behavior of result executing rule of assessment.The behavior of rule is presented as assessment result or the price detection recording risk
Result.After rule has applied all of rule detection, the unified application result collecting these rules, they are returned
To client.
Step S203, rules results filtration step.Case automatic checkout system complete each rule set application time and complete
When becoming the application of strictly all rules collection, can search in the running environment of system, if provide for the rule set currently completed and
Or the rule application results filter being suitable for for strictly all rules/rule set.If inquiring corresponding filter, then called
Rule application result is processed by filter.The application scenarios of rules results filter comprises following a few class:
According to the Maturity of rule, the execution result of rule is screened
According to the testing result of rule, the risk class of case is estimated
Case testing process controls
The self-defined process of rule set application result
Step S204, testing result generation step.Case automatic checkout system completes rule application, rules results collection
After filtering, need rule detection result is customized and formatted and returns to client.Case automatic checkout system defines
The composer interface IClaimCheckResponseBuilder of testing result, thinks that all kinds of client provides the reality that height customizes
Existing.When returning testing result to customer, case automatic checkout system searches the testing result structure in runtime environment
Build device to realize, call it to obtain the case testing result that can return to client.
Case automatic checkout system acquiescence provides high flexible, can meet the testing result structure of major part customer requirement
Build device to realize.
The execution result (RuleExecutionResult) of rule is converted to by the case testing result composer of acquiescence
Risk object defined in system, or self-defining Risk subclass.Risk object comprises and puies forward risk classifications, risk title, risk
Show the definition of word.Acquiescence realizes being converted to rule detection result (RuleExecutionResult) work of Risk object
The type that realizes of the RuleExecutionResultToRiskMapper interface defined by it completes.
RuleExecutionResultToRiskMapper defines it can be to rule being performed result degree of conversion rank
Enumerate, main level, rule level, the self-defined level of client.Acquiescence realizes searching defined in runtime environment first with CDI mechanism
All RuleExecutionResultToRiskMapper realize.Performing result for each rule, acquiescence realizes first seeking the opinion of
All of RuleExecutionResultToRiskMapper realizes performing rule the degree of conversion of result, chooses enough maximums
Rule is performed result and is converted to the realization of Risk by degree.Get suitably
After RuleExecutionResultToRiskMapper realizes, its conversion method is called in acquiescence realization, rule is performed result and turns
It is changed to Risk object.Risk object after conversion is serialized the most at last, and returns to client.
The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited thereto, and any
Those familiar with the art, in the technical scope that the invention discloses, can readily occur in change or replace, should contain
Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with described scope of the claims.
Claims (4)
1. a case automatic testing method, it is characterised in that comprise the following steps:
Model binding step, the case model defined in the case object provided client according to sequencing and system performs mould
Type is bound, and specifically includes following sub-step:
Serializing/resolve sub-step, for the case pair provided with XML, JSON or Excel form client provided
As being converted to case model；In described serializing/parsing sub-step, it is real that mechanism is injected in the dependence using JavaEE framework to provide
Be now can the two-stage mechanism of customization, when receiving case detection request that client sends and calling case retrieval, case
Automatic checkout system reads the customer information of configuration, uses customer name to utilize the CDI Named Qualifier of JavaEE
Mechanism finds as customization unserializing/analysis program, and calls the case model object obtaining unitizing；
Unserializing/parsing post processing sub-step, uses the mode identical with searching serializing/analysis program, look for configuration
The unserializing/parsing post processor of customization；And model object identification sub-step, call identification ISP
Program, extracts the field contents of character property from the case model object that standard is unitized and passes to identification service as parameter and carry
Donor, identifies that ISP identifies incoming word content, matches the object of definition in system-based data base；
Rule applying step, applies case detected rule, the form Design base of described case detected rule in units of rule set
Rule definition in EasyRules framework, distributes an independent regulation engine for each rule set, or becomes rule execution
Environment, in same rule set, it is intended that the detection ordering of each detected rule and mutual dependence, thus according to described mould
The object of the accurate definition identified in type Object identifying sub-step, carries out more finely, analyzes accurately and judge；Rule knot
Whether really filtration step, search and provide in the running environment of system for the rule set currently completed with or for all rule
The rule application results filter that then/rule set is suitable for, if inquiring corresponding filter, then calls filter to described rule
Rule application result in applying step processes；And testing result generation step, complete rule application, rules results
After collecting and filtering, rule detection result customized and formats and returns to client, wherein, defining the structure of testing result
Build device interface IClaimCheckResponseBuilder, think that all kinds of client provides the realization that height customizes.
Case automatic testing method the most according to claim 1, it is characterised in that: in described serializing/parsing sub-step
In, graphically the mode in user face is mated and generates the function of XML serialization/parsing class, the XML serialization of generation/parsing class
Use the STAX technology of JXAB under JavaEE that XML document is resolved, during convenient XML document, XML warp will be read
Crossing conversion assignment to the object properties of Java, the conversion of data type provides the foundation the conversion between initial form, XML element
Value is enumerated member and is mapped the support mated with Java.
Case automatic testing method the most according to claim 1, it is characterised in that: described unserializing/parsing post processing
Sub-step includes following process:
Utilize the Reduce stage in Map/Reduce algorithm that case model object structure is adjusted；
Special field is carried out type conversion process or spcial character is carried out pruning modes；
Data value field is calculated.
4. a case automatic checkout system, it is characterised in that including:
Model binding module, the case model defined in the case object provided client according to sequencing and system performs mould
Type is bound, and specifically includes following submodule:
Serializing/analyzing sub-module, for the case pair provided with XML, JSON or Excel form client provided
As being converted to case model；Use that JavaEE framework provides rely on the mechanism of injection be embodied as can the two-stage mechanism of customization,
When receiving the case detection request of client's transmission and calling case retrieval, case automatic checkout system reads the visitor of configuration
Family information, uses customer name to utilize the CDI Named Qualifier mechanism of JavaEE to find as customization antitone sequence
Change/analysis program, and call the case model object obtaining unitizing；
Unserializing/parsing post processing submodule, uses the mode identical with searching serializing/analysis program, look for configuration
The unserializing/parsing post processor of customization；And
Model object identification submodule, calls identification ISP's program, carries from the case model object that standard is unitized
The field contents taking character property passes to identify ISP as parameter, in identifying that ISP identifies incoming word
Hold, match the object of definition in system-based data base；
Rule application module, applies case detected rule, the form Design base of described case detected rule in units of rule set
Rule definition in EasyRules framework, distributes an independent regulation engine for each rule set, or becomes rule execution
Environment, in same rule set, it is intended that the detection ordering of each detected rule and mutual dependence, thus according to described mould
The object of the accurate definition identified in type Object identifying submodule, carries out more finely, analyzes accurately and judge；
Rules results filtering module, search system running environment in whether provide for the rule set currently completed and or
The rule application results filter being suitable for for strictly all rules/rule set, if inquiring corresponding filter, then calls filter
Rule application result in described rule application module is processed；And testing result generation module, should completing rule
After collecting by, rules results and filter, rule detection result customized and formats and returns to client, wherein, defining
The composer interface IClaimCheckResponseBuilder of testing result, thinks that all kinds of client provides the reality that height customizes
Existing.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110019655A (en) * | 2017-07-21 | 2019-07-16 | 北京国双科技有限公司 | Precedent case acquisition methods and device |
| CN107657047A (en) * | 2017-10-10 | 2018-02-02 | 民太安财产保险公估股份有限公司 | Insurance Fraud method for detecting and system |
| CN108492195B (en) * | 2018-03-08 | 2020-11-27 | 中国平安人寿保险股份有限公司 | Rule engine package parameter generalization method, equipment and storage medium |
| CN109034734A (en) * | 2018-07-06 | 2018-12-18 | 北京精友世纪软件技术有限公司 | A kind of method and its system of long-range processing vehicle insurance Claims Resolution business |
| CN109191312A (en) * | 2018-08-07 | 2019-01-11 | 阳光财产保险股份有限公司 | A kind of anti-fraud air control method and device of Claims Resolution |
| CN108876642A (en) * | 2018-09-12 | 2018-11-23 | 北京精友世纪软件技术有限公司 | A kind of intelligent air control system of vehicle insurance Claims Resolution |
| CN110334214B (en) * | 2019-07-09 | 2021-05-14 | 四川省广安市人民检察院 | Method for automatically identifying false litigation in case |
| CN110968604A (en) * | 2019-12-05 | 2020-04-07 | 长春嘉诚信息技术股份有限公司 | Method for automatically retrieving illegal operation of internet operation enterprise |
| CN116503182B (en) * | 2023-06-25 | 2023-09-01 | 凯泰铭科技（北京）有限公司 | Method and device for dynamically collecting vehicle insurance person injury data based on rule engine |
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| WO2003083690A1 (en) * | 2002-03-25 | 2003-10-09 | Data Quality Solutions, Inc. | Method and system for enterprise business process management |
| US8027922B2 (en) * | 2003-07-14 | 2011-09-27 | Sprint Communications Company L.P. | Integration infrastructure |
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