CN105069686A - Case automatic detection method and system - Google Patents
Case automatic detection method and system Download PDFInfo
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- CN105069686A CN105069686A CN201510497231.2A CN201510497231A CN105069686A CN 105069686 A CN105069686 A CN 105069686A CN 201510497231 A CN201510497231 A CN 201510497231A CN 105069686 A CN105069686 A CN 105069686A
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Abstract
The present invention relates to a case automatic detection method which comprises: a model binding step, a rule applying step, a rule result filtering step and a detection result generating step. According to the case automatic detection method disclosed by the embodiment of the present invention, the fraud non-standard behaviors which possibly occur in the automobile insurance claim settlement process can be detected and each type of service objects in the automobile insurance claim settlement can be detected and controlled.
Description
Technical field
The present invention relates to a kind of case automatic testing method and system.
Background technology
At present, the insurance company having, relate to or provide vehicle insurance to settle a claim business and/or service and other enterprises and mechanism, swindle, abnormal activity may be there is in vehicle insurance Claims Resolution process, and be difficult to all kinds of business objects in vehicle insurance Claims Resolution process, the price as man-hour, accessory etc. carries out detection and control.
Summary of the invention
technical matters
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, can detect in vehicle insurance Claims Resolution process and may occur swindle, abnormal activity, and detection and control can be carried out to all kinds of business objects in vehicle insurance Claims Resolution process.
solution
In order to solve the problems of the technologies described above, the invention provides a kind of case automatic testing method, it is characterized in that, comprise the following steps:
Model binding step, the case model execution model binding defined in the case object provided client according to sequencing and system, specifically comprises following sub-step:
Serializing/parsing sub-step, for the case object provided with XML, JSON or Excel form client provided is converted to case model;
Unserializing/parsing aftertreatment sub-step, adopts the mode identical with searching serializing/analysis program, look for the unserializing/parsing post processor of the customization of configuration; And model object recognin step, call and identify ISP's program, the field contents extracting character property from the case model object that standard unitizes is given as Parameter transfer and is identified ISP, identify that ISP identifies the word content imported into, match the object of the definition in system-based database;
Rule applying step, based on Java Open Framework EasyRules, for each rule set distributes an independently regulation engine, or become regular execution environment, in same rule set, specify the detection ordering of each detected rule and mutual dependence, thus according to the object of the accurate definition identified in described model object recognin step, carry out meticulousr, analyze and judge accurately;
Rules results filtration step, whether provide in the running environment of seeking system for the current rule set completed and or for strictly all rules/rule set be suitable for regular application result filtrator, if inquire corresponding filtrator, then call filtrator and the regular application result in described regular applying step is processed; And testing result generation step, after completing rule application, rules results collection and filtering, rule detection result is customized and formats and return to client, wherein, define the composer interface IClaimCheckResponseBuilder of testing result, think that all kinds of client provides the realization highly customized.
beneficial effect
Can detect in vehicle insurance Claims Resolution process according to the case automatic testing method of the embodiment of the present invention and may occur swindle, abnormal activity, and detection and control can be carried out to all kinds of business objects in vehicle insurance Claims Resolution process.
According to below with reference to the accompanying drawings to detailed description of illustrative embodiments, further feature of the present invention and aspect will become clear.
Accompanying drawing explanation
Comprise in the description and form the accompanying drawing of a part for instructions and instructions together illustrates exemplary embodiment of the present invention, characteristic sum aspect, and for explaining principle of the present invention.
Fig. 1 illustrates the flow process of case automatic testing method.
Embodiment
Case automatic testing method of the present invention and system provide vehicle insurance Claims Resolution case to detect service with the form of RestfulWebServices to user.This system comprises: the assembly of system-oriented target customer, rules platform, data platform and expert's case detection system.The assembly of described system-oriented target customer is detected vehicle insurance Claims Resolution case by application case detected rule, and detected rule is refined in mode that is artificial or system intelligence data analysis in operation process by company, writing.The interface of case automatic checkout system definition rule of the present invention, comprises the input of rule, regular execution, the output of rule and the organizational form of rule.Described rules platform and described data platform, be respectively vehicle insurance detected rule and provide theory, fact basis and Data support.
The detected object of case automatic checkout system of the present invention is vehicle insurance Claims Resolution case, and for this reason, the assembly of described system-oriented target customer contains unified to vehicle insurance Claims Resolution case object, standardized definition, i.e. object model.The object that case automatic checkout system of the present invention provides the detection for vehicle insurance Claims Resolution case to analyze all to define with described object model and/or its subobject comprised carry 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
To report a case to the security authorities information
Survey information
O surveys task < and gathers >
Setting loss information < gathers >
O maintenance depot information
■ title
■ qualification
■ type
O information of vehicles
■ vehicle
■ license plate number
■ Vehicle Identify Number
O < in man-hour gathers >
■ title
■ repairs type
■OEM
■ quantity
■ price
O accessory < gathers >
■ title
■OEM
■ quantity
■ price
O auxiliary material < gathers >
O title
oOEM
O quantity
O price
People hinders information < and gathers >
Policy information < gathers >
O number of policy
O policy type
O information of vehicles
O risk information < gathers >
O arranges < especially and gathers >
O history compensation case < gathers >
O corrects situation < and gathers >
Case photo
O title
O type
O shooting time
O obtains address
The Code Design of case object model has used for reference the design concept of Dynamic object (ExpandoObject, ElasticObject) under DynaBean and .NETFramework in Java Object-Oriented Design, all case model objects all inherit DynaModel type, which provide and carry except static statement, the particular service field that user provides, or the intermediate data fields function produced in case testing process.The realization mechanism of DynaModel is utilize HashMap as the storage of elasticity field, and provides the API method that unified field arranges and obtains.The object of such design in order to be enough the diversified case object model data collection that case object model can hold from each client, and is carried on the transitory state data produced in case testing process.
Case automatic checkout system of the present invention, according to the sequencing in case testing process, comprises following functional module:
Model binding module
Rule application module
Rules results filtering module
Testing result generation module
model binding module
When the case that user accesses case automatic checkout system of the present invention to be provided detects service, case models different, different from the case model that case automatic checkout system of the present invention defines separately can be provided.In order to the case of client can be made to enter rule application module thus detect, case automatic checkout system of the present invention defines model binding function module.The case model defined in the case object that described model binding module provides client according to sequencing and system performs following operation:
Serializing/parsing
Unserializing/parsing aftertreatment
Model object identification
serializing/parsing
Serializing/resolving is converted to the case model of case automatic checkout system of the present invention definition for the case object provided with XML, JSON or Excel form client provided.The dependence that model binding module uses JavaEE framework to provide injects that mechanism is embodied as can the two-stage mechanism of customization.When the case detection receiving client's transmission is asked and is called case retrieval, case automatic checkout system reads the customer information of configuration, use customer name to utilize the CDINamedQualifier mechanism of JavaEE to find as customization unserializing/analysis program, and call the case model object obtaining unitizing.
Case automatic checkout system achieves to mate in the mode in graphical user face and to generate the function of XML serializing/parsing class.Under its XML serializing generated/parsing class employing JavaEE, the STAX technology of JXAB is resolved XML document, and principle of work is in convenient XML document process, will read XML through the object properties of conversion assignment to Java.The conversion that the conversion of data type provides the foundation between initial form, XML element value and Java enumerate member and map the support of mating.
unserializing/parsing aftertreatment
After serializing/resolving completes, model binding module adopts the mode identical with searching serializing/analysis program, look for the unserializing/parsing post processor of the customization of configuration.When searching and get post processor, model binding module is called post processor and is carried out aftertreatment to unitized case model, and the content of aftertreatment comprises following content:
The structural adjustment of case model object, as being similar to the process in Reduce stage in Map/Reduce algorithm;
The special processing of special field, as type conversion, special character pruning etc.;
The calculating of data value field, as accessory, the price in man-hour based on discount, the calculating of the fields such as overhead cost.
model object identification
After completing serializing/parsing and aftertreatment, system obtains more complete, standardized case model object.More unified accurate data basis is provided in order to give the application of rule afterwards, model binding module calls the identification ISP program of case automatic checkout system, and the field contents extracting character property from the case model object that standard unitizes is given as Parameter transfer and identified ISP.Identify that ISP identifies the word content imported into, match the object of the definition in system-based database, as maintenance depot, branch office, vehicle, accessory.The object of these accurate definition that follow-up rule application module identifies according to these, can carry out meticulousr, analyze and judge accurately.
Model object sets architectural framework and is divided into three levels:
Model object identification Servers Organization person
Model object identification ISP
Recognition logic realizes
model object identification Servers Organization person
Model object identification Servers Organization person can be customization, and definition identifies the scope of object, the identification organization procedure of order.When model binding module carries out the identification of case model object, obtain the model object identification Servers Organization person that system default provides, call its interface API to obtain model object identification ISP list.Then, model binding module traversal the interface API of calling model Object identifying ISP carry 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.Its operand is unitized case object, and principle of work is extract relevant literal field from case object, and calls recognition logic realization, the field of word is mated with the data object defined in system or in basic database.The identification ISP that model binding module provides business object in following case object realizes:
Branch office of insurance company
Maintenance depot
Vehicle
Accessory
Man-hour
Auxiliary material
recognition logic realizes
Recognition logic realization provides basis, atomicity, the text analyzing little with case model object correlativity and/or database enquiry services.Through its text analyzing, the services such as database retrieval, the literal field in case model object is mated with the data object defined in basic database or system by model object identification ISP.
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 realizes the application of case detected rule based on Java Open Framework EasyRules.Rule application module applies case detected rule in units of rule set.Rule set is according to relevance regular separately, or from being abstracted into the set of the one group of case detected rule be specifically combined to form.Case rule application module is that each rule set distributes an independently regulation engine, or becomes regular execution 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 stages, and first, case detected rule is assessed case object model, and the basis source of assessment is in the knowledge accumulation in industry of operation team and basic database, and the result of rule evaluation is the value of boolean type.For swindle rule, whether the case that assessment result meaning value is detected exists the risk of swindle; Detect for case for price, assessment result means that whether the quotation of business object in case is higher than the normal level defined in basic database.After rule evaluation completes, the behavior of the result executing rule of the assessment of regular basis.In case automatic checkout system, the behavior of rule is presented as the assessment result or price testing result of recording risk.After rule has applied all rule detection, they have been returned to client by the application result of unified these rules of collection.
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 seeking system running environment in, whether provide for the current rule set completed and or for strictly all rules/rule set be suitable for regular application result filtrator.If inquire corresponding filtrator, then call filtrator and regular application result is processed.The application scenarios of rules results filtrator comprises following a few class:
The execution result of degree of ripeness to rule according to rule screens
Rule is divided into Three Estate according to degree of ripeness by case automatic checkout system: exploitation, and test is produced.The rules results of production phase directly will send to client, and alternatively, client can configure and the rule of test phase be returned, and the testing result of development phase rule advises not returning strongly.
The risk class of testing result to case according to rule is assessed
According to the risk class coefficient of rule detection result respective rule, the risk class rank of evaluates calculation case.
Case testing process controls
According to the rule detection result of case and/or the characteristic of its respective rule, assessment case confirms the need of further hand inspection.
The self-defined process of rule set application result
Each rule set can define respective rule detection result filters, screens the testing result in rule set or processes.
testing result generation module
Case automatic checkout system, after completing rule application, testing result collection and filtering, needs rule detection result customized and format and return to client.Case automatic checkout system defines the composer interface IClaimCheckResponseBuilder of testing result, thinks that all kinds of client provides the realization highly customized.When returning testing result to customer, the testing result composer that case automatic checkout system is searched in runtime environment will realize, and call it to obtain the case testing result that can return to client.
Case automatic checkout system acquiescence provides high flexible, and the testing result composer that can meet most of customer requirement realizes.
The execution result (RuleExecutionResult) of rule is converted to the Risk object defined in system by the case testing result composer of acquiescence, or self-defining Risk subclass.Risk object comprises the definition to risk classifications, risk title, indicating risk word.The type that realizes that acquiescence realizes the RuleExecutionResultToRiskMapper interface work that rule detection result (RuleExecutionResult) is converted to Risk object defined by it completes.RuleExecutionResultToRiskMapper defines it can to can enumerating regular execution result degree of conversion rank, main level, regular level, the self-defined level of client.Acquiescence realizes first utilizing CDI mechanism to search all RuleExecutionResultToRiskMapper defined in runtime environment and realizes.For each regular execution result, acquiescence realizes first seeking the opinion of all degree of conversion of RuleExecutionResultToRiskMapper realization to regular execution result, chooses enough realizations at utmost regular execution result being converted to Risk.After getting suitable RuleExecutionResultToRiskMapper realization, its conversion method is called in acquiescence realization, and regular execution result is converted to Risk object.Risk object after conversion the most at last by serializing, and returns to client.
case detects service access process
The external interface of case automatic checkout system of the present invention is RestfulWebAPI interface.Client accesses case and detects the following process of service palpus execution:
Communication link is arranged
In order to ensure the stability of case data confidentiality and service, client communicates between serving with case automatic checkout system should with the SSLHTTP secure connection encrypted, or the dedicated network link setting up Internet service provider's level carries out the data communication between both sides' system.Before access case detects service, both sides should consult and appoint communication link scheme.
Model Matching is arranged
It is the case detection model defined based on self that case automatic checkout system of the present invention detects service.Therefore, before access service, both sides need the form of arranging transmission data, JSON or XML, and the coupling of case model object structure and field contents between both sides.
The testing result form definition that customer can accept
Customer needs to provide it to the requirement of rule detection result form and content aspect, and of the present invention automatic checkout system is according to requiring that specification realizes the customized solution of testing result.
Case automatic testing method of the present invention comprises the following steps:
Step S201, model binding step.The case model execution model binding defined in case object client provided according to sequencing and system, concrete following following sub-step:
Serializing/parsing sub-step, for the case object provided with XML, JSON or Excel form client provided is converted to the case model of case automatic checkout system of the present invention definition.
Unserializing/parsing aftertreatment sub-step, adopts the mode identical with searching serializing/analysis program, look for the unserializing/parsing post processor of the customization of configuration.
Model object recognin step, call and identify ISP's program, the field contents extracting character property from the case model object that standard unitizes is given as Parameter transfer and is identified ISP, identify that ISP identifies the word content imported into, match the object of the definition in system-based database.
Step S202, regular applying step.Use for reference the concept of the regulation engine specification of JSR-94, realize the application of case detected rule based on Java Open Framework EasyRules.In units of rule set, case detected rule is applied in regular applying step.Rule set is according to relevance regular separately, or from being abstracted into the set of the one group of case detected rule be specifically combined to form.In regular applying step, distribute an independently regulation engine for each rule set, or become regular execution environment.In same rule set, need to specify the detection ordering of each detected rule and mutual dependence.According to the object of the accurate definition identified in described model object recognin step, can carry out meticulousr, analyze and judge accurately.
The form Design of case detected rule is based on rule definition in EasyRules framework.Rule application is divided into two stages, and first, case detected rule is assessed case object model, and the basis source of assessment is in the knowledge accumulation in industry of operation team and basic database, and the result of rule evaluation is the value of boolean type.For swindle rule, whether the case that assessment result meaning value is detected exists the risk of swindle; Detect for case for price, assessment result means that whether the quotation of business object in case is higher than the normal level defined in basic database.After rule evaluation completes, the behavior of the result executing rule of the assessment of regular basis.The behavior of rule is presented as the assessment result or price testing result of recording risk.After rule has applied all rule detection, they have been returned to client by the application result of unified these rules of collection.
Step S203, rules results filtration step.When case automatic checkout system completes when each rule set is applied and completes the application of strictly all rules collection, can seeking system running environment in, whether provide for the current rule set completed and or for strictly all rules/rule set be suitable for regular application result filtrator.If inquire corresponding filtrator, then call filtrator and regular application result is processed.The application scenarios of rules results filtrator comprises following a few class:
The execution result of degree of ripeness to rule according to rule screens
The risk class of testing result to case according to rule is assessed
Case testing process controls
The self-defined process of rule set application result
Step S204, testing result generation step.Case automatic checkout system, after completing rule application, rules results collection and filtering, needs rule detection result customized and format and return to client.Case automatic checkout system defines the composer interface IClaimCheckResponseBuilder of testing result, thinks that all kinds of client provides the realization highly customized.When returning testing result to customer, the testing result composer that case automatic checkout system is searched in runtime environment will realize, and call it to obtain the case testing result that can return to client.
Case automatic checkout system acquiescence provides high flexible, and the testing result composer that can meet most of customer requirement realizes.
The execution result (RuleExecutionResult) of rule is converted to the Risk object defined in system by the case testing result composer of acquiescence, or self-defining Risk subclass.Risk object comprises the definition to risk classifications, risk title, indicating risk word.The type that realizes that acquiescence realizes the RuleExecutionResultToRiskMapper interface work that rule detection result (RuleExecutionResult) is converted to Risk object defined by it completes.RuleExecutionResultToRiskMapper defines it can to can enumerating regular execution result degree of conversion rank, main level, regular level, the self-defined level of client.Acquiescence realizes first utilizing CDI mechanism to search all RuleExecutionResultToRiskMapper defined in runtime environment and realizes.For each regular execution result, acquiescence realizes first seeking the opinion of all degree of conversion of RuleExecutionResultToRiskMapper realization to regular execution result, chooses enough realizations at utmost regular execution result being converted to Risk.After getting suitable RuleExecutionResultToRiskMapper realization, its conversion method is called in acquiescence realization, and regular execution result is converted to Risk object.Risk object after conversion the most at last by serializing, and returns to client.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; change can be expected easily or replace, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of described claim.
Claims (5)
1. a case automatic testing method, is characterized in that, comprises the following steps:
Model binding step, the case model execution model binding defined in the case object provided client according to sequencing and system, specifically comprises following sub-step:
Serializing/parsing sub-step, for the case object provided with XML, JSON or Excel form client provided is converted to case model;
Unserializing/parsing aftertreatment sub-step, adopts the mode identical with searching serializing/analysis program, look for the unserializing/parsing post processor of the customization of configuration; And model object recognin step, call and identify ISP's program, the field contents extracting character property from the case model object that standard unitizes is given as Parameter transfer and is identified ISP, identify that ISP identifies the word content imported into, match the object of the definition in system-based database;
Rule applying step, based on Java Open Framework EasyRules, for each rule set distributes an independently regulation engine, or become regular execution environment, in same rule set, specify the detection ordering of each detected rule and mutual dependence, thus according to the object of the accurate definition identified in described model object recognin step, carry out meticulousr, analyze and judge accurately;
Rules results filtration step, whether provide in the running environment of seeking system for the current rule set completed and or for strictly all rules/rule set be suitable for regular application result filtrator, if inquire corresponding filtrator, then call filtrator and the regular application result in described regular applying step is processed; And testing result generation step, after completing rule application, rules results collection and filtering, rule detection result is customized and formats and return to client, wherein, define the composer interface IClaimCheckResponseBuilder of testing result, think that all kinds of client provides the realization highly customized.
2. case automatic testing method according to claim 1, it is characterized in that: in described serializing/parsing sub-step, the dependence using JavaEE framework to provide injects that mechanism is embodied as can the two-stage mechanism of customization, when the case detection receiving client's transmission is asked and is called case retrieval, case automatic checkout system reads the customer information of configuration, use customer name to utilize the CDINamedQualifier mechanism of JavaEE to find as customization unserializing/analysis program, and call the case model object obtaining unitizing.
3. case automatic testing method according to claim 1, it is characterized in that: in described serializing/parsing sub-step, mate in the mode in graphical user face and generate the function of XML serializing/parsing class, under the XML serializing generated/parsing class employing JavaEE, the STAX technology of JXAB is resolved XML document, in convenient XML document process, to XML be read through the object properties of conversion assignment to Java, the conversion that the conversion of data type provides the foundation between initial form, XML element value and Java enumerate member and map the support of mating.
4. case automatic testing method according to claim 1, is characterized in that: described unserializing/parsing aftertreatment sub-step comprises following process:
The Reduce stage in Map/Reduce algorithm is utilized to adjust case model object structure;
Type conversion process is carried out to special field or pruning modes is carried out to special character;
Data value field is calculated.
5. a case automatic checkout system, is characterized in that, comprising:
Model binding module, the case model execution model binding defined in the case object provided client according to sequencing and system, specifically comprises following submodule:
Serializing/analyzing sub-module, for the case object provided with XML, JSON or Excel form client provided is converted to case model;
Unserializing/parsing aftertreatment submodule, adopts the mode identical with searching serializing/analysis program, look for the unserializing/parsing post processor of the customization of configuration; And
Model object recognin module, call and identify ISP's program, the field contents extracting character property from the case model object that standard unitizes is given as Parameter transfer and is identified ISP, identify that ISP identifies the word content imported into, match the object of the definition in system-based database;
Rule application module, based on Java Open Framework EasyRules, for each rule set distributes an independently regulation engine, or become regular execution environment, in same rule set, specify the detection ordering of each detected rule and mutual dependence, thus according to the object of the accurate definition identified in described model object recognin module, carry out meticulousr, analyze and judge accurately;
Rules results filtering module, whether provide in the running environment of seeking system for the current rule set completed and or for strictly all rules/rule set be suitable for regular application result filtrator, if inquire corresponding filtrator, then call filtrator and the regular application result in described rule application module is processed; And testing result generation module, after completing rule application, rules results collection and filtering, rule detection result is customized and formats and return to client, wherein, define the composer interface IClaimCheckResponseBuilder of testing result, think that all kinds of client provides the realization highly customized.
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| 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 |
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| CN110334214A (en) * | 2019-07-09 | 2019-10-15 | 四川省广安市人民检察院 | A kind of method of false lawsuit in automatic identification case |
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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 |
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| CN108492195A (en) * | 2018-03-08 | 2018-09-04 | 中国平安人寿保险股份有限公司 | Extensive method, equipment and storage medium are joined by a kind of entering for regulation engine packet |
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| 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 |
| CN110334214A (en) * | 2019-07-09 | 2019-10-15 | 四川省广安市人民检察院 | A kind of method of false lawsuit in automatic identification case |
| 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 |
| CN116503182A (en) * | 2023-06-25 | 2023-07-28 | 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 |
| 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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