CN111126741A

CN111126741A - Method and device for distributing claims cases based on surveyor portrait, computer equipment and storage medium

Info

Publication number: CN111126741A
Application number: CN201910969944.2A
Authority: CN
Inventors: 张小松; 程春霞
Original assignee: Ping An Property and Casualty Insurance Company of China Ltd
Current assignee: Ping An Property and Casualty Insurance Company of China Ltd
Priority date: 2019-10-12
Filing date: 2019-10-12
Publication date: 2020-05-08

Abstract

The embodiment of the application provides a method and a device for distributing claims based on surveyor drawings, computer equipment and a storage medium. The method comprises the following steps: determining a tag value for each tag in the surveyor representation based on the acquired surveyor's information and claims record data to form a surveyor representation; classifying the surveyors according to the surveyor figures to obtain the grade classes of the surveyors; if a claim settlement request is received, acquiring a claim settlement identifier in the claim settlement request; determining a class matched with the claim identification according to the claim identification; a target investigator is determined from the plurality of investigators of the determined class category and a claim request is sent to the target investigator. According to the embodiment of the application, the exploratory staff is comprehensively understood and analyzed in a user portrait mode and classified, so that classification is accurate, and the claim settlement cases are distributed according to classified grade categories, so that the claim settlement cases can be distributed fairly, reasonably and efficiently.

Description

Method and device for distributing claims cases based on surveyor portrait, computer equipment and storage medium

Technical Field

The application relates to the technical field of data processing, in particular to a method and a device for allocating claim settlement cases based on surveyor drawings, computer equipment and a storage medium.

Background

In the insurance industry, such as automobile insurance, property insurance, etc., when claims are required and field exploration is required, the claims cases are usually distributed according to the positions of the surveyors, for example, the claims cases are distributed to the surveyors near the exploration site to carry out the field exploration. The method for distributing the claim cases is single, only a few simple factors such as position factors and the like are considered, and other influence factors are not considered, so that unreasonable distribution of the claim cases exists, and the claim progress is delayed. Meanwhile, the insurance claim settlement flow gradually goes from offline to online processing, the condition of each claim case and the information of each surveyor are more and more recorded into the database, and the data are not really utilized to optimize the distribution of the claim cases, so that the data are wasted.

Disclosure of Invention

The embodiment of the application provides a method and a device for distributing claim cases based on surveyor figures, computer equipment and a storage medium, and the method and the device can distribute the claim cases fairly, reasonably and efficiently.

In a first aspect, an embodiment of the present application provides a method for assigning claims based on a surveyor drawing, including:

acquiring information of surveyors and claim settlement record data related to the surveyors in the claim settlement process; acquiring a label corresponding to a preset surveyor portrait; determining the label value of each label according to the information of the surveyor and the claim settlement record data; forming the surveyor representation from the tags and corresponding tag values; classifying the surveyors according to the surveyor portrait and a preset grade category range to obtain the grade categories of the surveyors; if a claim settlement request is received, obtaining a claim settlement identifier in the claim settlement request, wherein the claim settlement identifier represents the importance degree of a claim settlement case corresponding to the claim settlement request; determining a class matched with the claim identification according to the claim identification; and determining a target surveyor from the plurality of surveyors in the determined grade category according to a preset rule, and sending the claim settlement request to the target surveyor.

In a second aspect, an embodiment of the present invention provides an apparatus for assigning claims based on surveyor's figure, where the apparatus for assigning claims based on surveyor's figure includes corresponding units for performing the method according to the first aspect.

In a third aspect, an embodiment of the present invention provides a computer device, where the computer device includes a memory and a processor connected to the memory;

the memory is adapted to store a computer program and the processor is adapted to execute the computer program stored in the memory to perform the method of the first aspect.

In a fourth aspect, the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the method according to the first aspect.

According to the embodiment of the application, the label value of each label is calculated according to the information of the surveyor, the claim record data related to the surveyor in the claim process and the preset labels, so that a surveyor portrait is formed, the surveyor is classified according to the surveyor portrait so as to obtain the class of the surveyor, when the claim cases are distributed, a matched class is determined according to the identification information of the claim cases, and a target surveyor is determined from the matched class so as to distribute the claim cases to the target surveyor. The embodiment of the application carries out comprehensive understanding and analysis to the investigator through the mode that the user drawed portrait, and the user drawed portrait can be more comprehensive description investigator, again according to the investigator drawingness carries out the classification to the investigator for it is comparatively accurate to classify, again carries out the distribution of claim case according to categorised grade classification, so, can just, rationally, realize the distribution of claim case high-efficiently, make the investigator who handles the claim case at present all be the best match investigator.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic flow chart illustrating a method for assigning claims based on a surveyor's figure according to an embodiment of the present application;

FIG. 1a is a label value of four labels corresponding to a surveyor's ability, according to an embodiment of the present disclosure;

FIG. 2 is a sub-flowchart of a method for assigning claims based on a surveyor's figure according to an embodiment of the present application;

FIG. 3 is a flowchart illustrating a method for assigning claims cases based on surveyor's figures according to another embodiment of the present application;

FIG. 4 is a schematic block diagram of an apparatus for assigning claims based on a surveyor's figure according to an embodiment of the present application;

fig. 5 is a schematic block diagram of a tag value determination unit provided in an embodiment of the present application;

FIG. 6 is a schematic block diagram of an apparatus for assigning claims based on a surveyor's figure according to another embodiment of the present application;

fig. 7 is a schematic block diagram of a computer device provided by an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Fig. 1 is a schematic flowchart of a method for assigning claims based on a surveyor's figure according to an embodiment of the present application. As shown in fig. 1, the method includes S101-S108.

S101, acquiring information of surveyors and claim settlement record data related to the surveyors in the claim settlement process.

The information of the surveyor and the claims record data related to the surveyor in the claims process can be stored in a database and acquired from the database; or may be stored in other terminals, obtained from other terminals, etc.; or may be stored and acquired in the local computer. The information of the surveyor includes basic information of the surveyor (such as name, gender, graduate colleges, working experience, qualification on duty, etc.), character information (such as patience, positive degree, relationship with coworkers, etc.), behavior information (such as credit, petty loan, number of credit cards, car loan, house loan, type of driver's license, time of obtaining driver's license, etc.), etc. The data of the claim records related to the claimant in the claim process comprise detailed information of a survey place, survey time, a survey range, each flow of a claim case survey operation and the like.

S102, obtaining the preset label corresponding to the surveyor portrait.

The labels corresponding to the surveyor's figure are divided into multiple levels. For example, the labels corresponding to the surveyor figures comprise basic information, character features, behavior features, complaints, services, workload, timeliness, work quality and the like of the surveyor. The basic information of the surveyor includes the name of the institution (the name of the institution to which the surveyor belongs), the institution code, the name of the surveyor, the sex, the household address, the native place, the region, the highest academic calendar, the graduate college, the specialty, the admission date, the work experience, the post qualification and other labels. The character features comprise labels of the degree of patience, the degree of aggressiveness, the relation with colleagues and the like. The behavior characteristics comprise labels of credit, petty loans, credit card quantity, vehicle loan, house loan, type of obtained driving license, time of obtaining the driving license, actual driving time, driving frequency, whether a vehicle is in the practice period or not, whether a vehicle is in the name or not, whether the vehicle is hung and sold, achromatopsia, nyctalopia, investigation vehicle stop rate, investigation vehicle average violation of regulations, investigation vehicle network breaking rate, investigation vehicle average fuel charge, investigation vehicle hundred kilometers fuel consumption, investigation vehicle average insurance ride number, violation of regulations and the like. Complaints include complaint volume (3A) labels. The services include NPS, NPS boost rate, etc. tags. The workload comprises the labels of workload, repayment amount, loss case amount, target loss amount, loss amount of the three, and the like. The time efficiency comprises the labels of survey time length, shooting time length, survey completion time length, work receiving and dispatching time length, damage assessment time length, photo uploading completion time length, target damage assessment completion time length, target vehicle quotation dwell time length, claim case settlement rate (3A), self-service factory case processing settlement rate and the like. The working quality comprises labels of the number of vehicle-mounted parts, insurance responsibility accuracy, standard part utilization rate, part repair rate, repairable part replacement rate, vehicle-mounted part charge, vehicle-mounted working hour charge, case average calculation waiting time, vehicle-mounted damage setting waiting time, vehicle-mounted damage setting processing time, vehicle-mounted damage setting auditing time, number of parts result rate, 4S shop maintenance ratio (number of parts), 4S shop maintenance ratio (amount of money) and the like. The above labels are merely exemplary for ease of understanding.

The labels corresponding to the surveyor portrait can be stored in a database, and the labels corresponding to the preset surveyor portrait are obtained from the database; the method can also be stored in a preset directory of the local computer, and a preset label corresponding to the surveyor portrait is obtained from the preset directory of the local computer; or storing in other terminal, and obtaining the label corresponding to the pre-set surveyor portrait from other terminal.

And S103, determining the label value of each label according to the information of the surveyor and the claim settlement record data.

The preset labels corresponding to surveyor figures comprise labels which can directly acquire corresponding data from a database as label values, such as organization names (names of organizations to which surveyors belong), organization codes, names, sexes, highest scholastic calendars and the like; the labels are also required to calculate a certain result through corresponding data, such as the settlement rate (3A) of claims, the stop rate of the survey vehicle and the like.

In an embodiment, as shown in FIG. 2, step S103 includes the following steps S1031-S1034.

And S1031, acquiring a determining mode corresponding to the label value of each label, wherein the determining mode comprises direct acquisition and formula calculation.

The determination method corresponding to the tag value of each tag is stored in a database or a document, for example, the database has a plurality of records, and each record includes information such as a tag name, a tag value determination method, a field corresponding to the tag value, and a tag value calculation formula.

And S1032, if the determination mode corresponding to the tag value is direct acquisition, directly acquiring field data corresponding to the tag from the information of the surveyor and the claim settlement record data as the tag value corresponding to the tag.

And if the determination mode corresponding to the tag value is direct acquisition, acquiring a field corresponding to the tag value, acquiring data corresponding to the field from the information of the surveyor and the claim settlement record data, and taking the data corresponding to the field as the tag value corresponding to the tag. If the determination method corresponding to the tag value obtained from the database is direct obtaining for the tag of "number of credit cards", the field corresponding to the tag value is obtained, and if the data corresponding to the field corresponding to the tag value is obtained from the database, for example, "5" (5 credit cards), 5 is taken as the data corresponding to the tag.

And S1033, if the determination mode corresponding to the tag value is formula calculation, acquiring a calculation formula of the tag value, and acquiring field data related to the calculation formula from the information of the surveyor and the claim settlement record data.

And if the determination mode corresponding to the tag value is formula calculation, acquiring fields corresponding to the tag value and a calculation formula of the tag value, wherein the fields corresponding to the tag value comprise all fields related in the calculation formula, and acquiring data corresponding to all the fields related in the calculation formula from the information of the surveyor and the claim settlement data. If the complaint amount (3A) is labeled, the corresponding calculation formula is as follows: CEILING ([ coefficient of responsibility ]. about [ complaint amount ]). The responsibility coefficient and the complaint quantity are fields related in a calculation formula, and data corresponding to the responsibility coefficient and the complaint quantity fields are obtained from a database so as to calculate a label value of a label of the complaint quantity (3A). For example, the claim case settlement rate (3A) label corresponds to the following calculation: the number of the settled claims in the statistical period/(the number of the cases of the pending claims in the statistical period + the number of the cases settled in the statistical period) is multiplied by 100%. The number of the settled claims, the number of the pending claims and the number of the settled cases are fields related in a calculation formula, and data corresponding to the number of the settled claims in the statistical period, the number of the pending claims in the statistical period and the number of the settled cases in the statistical period are obtained from a database.

S1034, calculating the label value of the label according to the calculation formula and the field data related in the calculation formula. And bringing the data corresponding to the fields involved in the calculation formula into the calculation formula to calculate the label value corresponding to the label.

This embodiment defines that the tag value of each tag is determined according to the determination manner of the tag value of each tag. As such, the tag value of each tag is determined according to different ways.

And S104, forming the surveyor portrait according to the labels and the corresponding label values.

The surveyor's figure may include each tag and its corresponding tag value, or may include only a portion of the tags and a portion of the tag values. Thus, the surveyor's picture may reflect a surveyor's information from some aspect or the whole, and preferably, the surveyor's picture reflects a surveyor's information from the whole.

For example, surveyor's ability to work can be measured from four tags: the service, workload, working quality and timeliness of the label are obtained from the calculation formulas of the corresponding label values, and the label values corresponding to the service, workload, working quality and timeliness of the four labels can be obtained through the calculation formulas. Assuming that the surveyor's working capacity is 30% of the service label, 25% of the aging label, 20% of the working quality label and 25% of the workload label, it can be understood that if the working capacity is 100 points, the service label is full 30, the aging label is full 25, the working quality label is full 20 and the workload label is full 25. And calculating and converting the label values corresponding to the four calculated labels of the service, the workload, the working quality and the aging so as to respectively obtain the scores of the four labels of the service, the workload, the working quality and the aging corresponding to the surveyor. For example, for the service tag, the score of the service tag is calculated according to the ratio of the calculated service tag value of the surveyor to the calculated highest service tag value of all surveyors and the full score corresponding to the service tag. Such as a calculated survey crew service tag of 16.5 points. As shown in fig. 1a, the label values of four labels are calculated for the worker's working ability. Wherein the light colored portion is the label value score for month 2 and the dark colored portion is the label paper score for month 1. Wherein, the service label of 2 months is 16.5 minutes, the time efficiency label is 19 minutes, the work quality label is 13 minutes, and the workload label is 23 minutes. It should be noted that the illustration in this paragraph is only one example, and that the illustration shown in FIG. 1a is also only one example. Or the surveyed staff working capacity can be used as a label, and the label value of the working capacity label is calculated, so that the label value can be directly obtained.

If the surveyor is average to the time limit in the current month, the statistical average can be carried out according to the time limit label value of the surveyor in the current month so as to obtain the average time limit of the surveyor in the current month. Or the average time to be saved is taken as a label, and the label value corresponding to the label of the average time to be saved is directly obtained.

The data such as the surveyor's current month record data, 1 day record quantity, 7 day record quantity, and all record quantities are expressed by the number of pieces.

For example, the aging data of the case in the current month of the surveyor, such as the case settlement ratio of 1 day, the case settlement ratio of 1-5 days, the case settlement ratio of 5-10 days, the case settlement ratio of more than 10 days, and the like.

For example, the data of the amount of money to be settled in the current month by the surveyor, such as the data of the occupation ratio corresponding to 0-5k, the occupation ratio corresponding to 5k-10k, the occupation ratio corresponding to 10k-30k, the occupation ratio corresponding to more than 30k, and the like.

The above data are only for illustrating the images of the surveyors that can be obtained, and do not constitute the survey of the surveyors; l defining the image. The surveyor's picture may also include more data, such as the surveyor's data of the work in the month, including the work assignment amount on site, the remote survey amount, the direct claims amount, etc.

For example, in one embodiment, all of the above mentioned data constitute the surveyor's picture, such that the surveyor's picture includes the surveyor's working ability, the surveyor's average time to live in the month, the surveyor's current month settlement data, the surveyor's current month case aging data, the surveyor's current month settlement amount data, the surveyor's current month work data, etc.; alternatively, in one embodiment, the related portion of data constitutes the surveyor's picture, such as the surveyor's ability to work, the surveyor's average to age in the month, the surveyor's settlement data in the month, and the like. Preferably, all of the data referred to above constitutes the surveyor's picture.

And S105, classifying the surveyors according to the surveyor portrait to obtain the grade classes of the surveyors.

In one embodiment, the surveyor's rank categories may be divided by a composite score of the surveyor's work ability. Thus, step S105 includes: acquiring a preset grade category range; calculating the comprehensive score of the surveyor according to the label and the label value in the surveyor portrait and a preset label factor; and classifying the surveyors according to the comprehensive scores and the preset grade category range of the surveyors so as to obtain the grade categories of the surveyors.

The preset grade categories have different setting modes, for example, the surveyors are classified into A, B and C. If the surveyors can be divided according to regions, the surveyors are classified in each region; the surveyors may be divided according to their organization, graded within each organization, etc. Each preset grade category is corresponding to a range value, such as the range value of A grade is [0.9-1] or [90-100], the range value of B grade is [0.8-0.9] or [80-90], and the like. The specific preset grade category can be set in different ways according to different application scenes, and the range data corresponding to each preset grade category can also be different according to different application scenes.

The method comprises the steps of firstly obtaining a calculation formula of the comprehensive score of the work capacity of the surveyor, and calculating the comprehensive score of the work capacity of the surveyor according to the labels, the label values and the preset label factors related in the calculation formula. If the comprehensive score calculation formula of the work capacity of the surveyor is as follows: the integrated score is tag 1 normalized value tag factor 1+ tag 2 normalized value tag factor 2+ tag 3 normalized value tag factor 3+ tag 4 normalized value tag factor 4. The normalized values of the tag 1, the tag 2, the tag 3 and the tag 4 are normalized values of the tag 1, the tag 2, the tag 3 and the tag 4. If the tag 1 is in service, the tag 2 is in workload, the tag 3 is in working quality, the tag 4 is in aging, etc., and the tag factors are 0.3, 0.25, 0.2, 0.25, etc., respectively. Here, if the tag value itself is a value between [0,1], the normalized value is itself, and it can also be understood that normalization is not required. In other embodiments, the calculation formula of the comprehensive score of the work ability of the surveyor may also be calculated in other manners, for example, label 1 is service, label 2 is workload, label 3 is work quality, label 4 is aging, and the comprehensive score of the work ability of the surveyor is set as: the composite score is the score for tag 1+ the score for tag 2+ the score for tag 3+ the score for tag 4. The comprehensive scores corresponding to the surveyor's ability in FIG. 1a are: 16.5+19+23+13 equals 71.5. And after the comprehensive score of the working capacity of the surveyor is calculated, classifying the surveyor according to the comprehensive score of the working capacity of the surveyor and a preset grade category range to obtain the grade category of the surveyor, wherein if the comprehensive score of the working capacity of a certain surveyor is 0.93, and the grade category corresponding to [0.9-1] in the preset grade category range is A, the grade category of the surveyor is A.

In one embodiment, the surveyors' rank categories may be divided by their average to best time.

In one embodiment, the surveyors 'grade categories and the like may be divided according to the surveyors' current monthly settlement data. Specifically, the classification of the surveyor's grade according to the current month record data of the surveyor is similar to the classification of the surveyor's grade according to the comprehensive score of the surveyor's working ability, and will not be described herein again.

In other embodiments, the surveyor's rank categories may be divided based on other data as well.

The grade categories of the surveyors can be divided according to all the data, such as the average to the validity of the surveyors, the current month plan data of the surveyors and the like according to the comprehensive scores of the working capacity of the surveyors, and the grade categories of the surveyors are calculated according to a certain proportion by all the data; or the grades of the surveyors can be classified according to the partial data, such as the grades of the surveyors according to the comprehensive scores of the working capacity of the surveyors, the average to the validity of the surveyors and the like. Preferably, the surveyor's class is classified according to all the data mentioned above.

In one embodiment, step S105 includes: and inputting the surveyor portrait into a preset random forest model, and classifying the surveyor through the preset random forest model to obtain the grade category of the surveyor. Wherein, the surveyor portrait includes the corresponding label and label value of the surveyor.

In this embodiment, prior to inputting the surveyor representation into the preset random forest model, the method further comprises: and training a preset random forest model. Wherein, training the random forest model that predetermines includes: acquiring training data of a plurality of surveyors before the current statistical period, wherein the training data of the plurality of surveyors comprises the class of the surveyors, information of the surveyors and claim settlement record data related to the surveyors in the claim settlement process; and training the random forest through the training data to obtain a preset random forest model.

S106, if a claim settlement request is received, a claim settlement identifier in the claim settlement request is obtained, and the claim settlement identifier represents the importance degree of a claim case corresponding to the claim settlement request.

Wherein the claim settlement request is triggered by a user, such as a client/investigator or. The claim request can be triggered in a variety of ways. Such as a client triggering by voice, etc. The claim settlement request comprises a claim settlement identifier and further comprises information such as a claim settlement requester, a claim settlement channel source, a claim settlement involved amount and a claim settlement place, and if the claim settlement requester is a preset client, or the claim settlement channel source is from the preset channel, or the claim settlement involved amount is higher than a preset case of preset amount, the importance degree of the claim settlement identifier is high. The preset channels include a relay channel and the like, and the relay channel means that the complaint case may involve multi-party engagement. The preset client is a special client and the like, such as a special user like an organization leader. The higher the amount of the claim related item, the higher the importance of the claim case. The degree of importance may also include normal, low, etc. For example, the claim identification can be represented by 1, 2, 3, etc. (also can be represented by other identifications), wherein 1 represents that the importance degree of the claim case corresponding to the claim request is the highest, and 2 represents that the importance degree is less than 1, etc.

S107, determining a class matched with the claim identification according to the claim identification.

The matching of the highest degree of importance and the highest class of the claims identification, and the matching of the second highest degree of importance and the second highest class of the claims identification. Thus, a class of the grade matched with the matching identification is determined according to the importance degree in the claim identification. It is understood that a matching rating class is determined according to the importance of the claim case, such that claim cases with higher importance match with higher rating classes. A higher rank class means a higher capacity of the surveyor.

S108, determining a target surveyor from the plurality of surveyors of the determined grade categories according to a preset rule, and sending the claim settlement request to the target surveyor.

Such as a target surveyor from a plurality of surveyors based on a combination of location of claims, case assignment of surveyors in the determined class category, and the like. For example, a surveyor who is close to the location of the claim and does not currently have a case or is close to the case processing, has a matching sum of cases, and has a matching speed of case processing is selected from the surveyors in the determined class, the surveyor is used as a target surveyor, and the claim request is sent to the target surveyor, so that the claim case corresponding to the claim request is processed as soon as possible. The claim settlement request can be sent to a terminal where a target investigator is located, such as a mobile phone terminal, specifically, sent through short messages/WeChat/mails and the like, or sent to a system account corresponding to the target investigator, and the information of the claim settlement request can be obtained after the target investigator logs in; or the request can be sent to the terminal where the target surveyor is located, and meanwhile, the claim settlement request is sent to the system account corresponding to the target surveyor.

The embodiment of the application carries out comprehensive understanding and analysis to the investigator through the mode that the user drawed portrait, and the user drawed portrait can be more comprehensive description investigator, again according to the investigator drawingness carries out the classification to the investigator for it is comparatively accurate to classify, again carries out the distribution of claim case according to categorised grade classification, so, can just, rationally, realize the distribution of claim case high-efficiently, make the investigator who handles the claim case at present all be the best match investigator.

In an embodiment, after step S104, the method further comprises: and if a surveyor portrait checking request is received, searching the surveyor portrait corresponding to the surveyor identification information according to the surveyor identification information in the checking request and visually displaying.

The checking request includes surveyor identification information, wherein the surveyor identification information may be information such as name/number of the surveyor. The surveyor portrait can be viewed and visually displayed through a viewing request. Therefore, all information of the surveyor can be clearly found through visual display, and the user experience is improved.

In an embodiment, after step S105, the method further comprises: and determining the performance grade of the surveyor according to the grade category of the surveyor, and calculating the performance of the surveyor according to the performance grade of the surveyor so as to realize the performance management of the surveyor.

The surveyor portrait can carry out comprehensive understanding and analysis to the surveyor, and the grade category of survey person is confirmed according to the surveyor portrait for categorised more accurate, improve the accuracy of classification result, so, improve performance management's precision, degree of accuracy and efficiency.

Fig. 3 is a flowchart illustrating a method for assigning claims based on a surveyor's figure according to another embodiment of the present application. As shown in fig. 3, the method comprises the following steps S201-S214. This embodiment differs from the embodiment shown in fig. 1 in that: steps S206-S211 are added. Steps S201 to S205 and steps S212 to S214 correspond to steps S101 to S108 in the embodiment shown in fig. 1 one to one, and are not described herein again. Differences of this embodiment from the embodiment shown in fig. 1 will be described in detail below.

S206, detecting whether the preset time is reached.

In one embodiment, the information of the surveyor and the claims record data related to the surveyor in the claims process obtained in the previous time are recorded, the time of the surveyor portrait and the class of the surveyor is determined according to the obtained information of the surveyor and the claims record data related to the surveyor in the claims process, and the recorded time is added with a preset time interval to determine the preset time. Thus, it can be understood that the surveyor's portrait and the surveyor's level category are updated at preset time intervals. In other embodiments, it is detected whether a preset time is reached, which is some predetermined time, such as weekly every week, etc. Thus, it can be understood that the surveyor's portrait and the surveyor's level category are updated at predetermined times.

And S207, acquiring the latest information of the surveyor and the latest claim settlement record data related in the claim settlement process if the preset time is reached. And acquiring the latest information of the surveyor and the latest claims record data related in the claims process from the database.

And S208, comparing the information and the claim settlement record data of the surveyor obtained last time with the latest information and the latest claim settlement record data of the surveyor to obtain updated data.

Wherein the update data refers to data different from data acquired last time. If the information of the vehicle credit acquired last time is none, and the information of the vehicle credit in the latest information of the surveyor is yes, the updating data comprises the information of the vehicle credit, and the information of the vehicle credit is yes. If the number of the claims that have been settled within the statistical period obtained in the previous time is M and the number of the claims that have been settled within the statistical period in the latest claims record data is N, the update data includes the number of the claims that have been settled within the statistical period, which is N.

S209, updating the label value of the label related to the updating data according to the updating data.

If the update data includes the number of claims settled within the statistical period, then the tag associated with the number of claims settled within the statistical period is the claim settlement rate (3A), then the tag value of the claim settlement rate (3A) tag is updated based on the number of claims settled within the statistical period in the update data.

S210, updating the surveyor portrait according to the updated tag value.

And S211, updating the grade category of the surveyor according to the updated surveyor portrait.

Specifically, the manner of updating the surveyor's portrait and the surveyor's level category is described above and will not be described herein.

The embodiment realizes the updating of the surveyor portrait and the updating of the surveyor grade category, and ensures that the surveyor portrait represents the latest information of the surveyor, and the surveyor grade category is also obtained according to the latest information of the surveyor. Thus, the accuracy of the surveyor portrait and the surveyor grade category is improved.

Fig. 4 is a schematic block diagram of an apparatus for assigning claims based on a surveyor's figure according to an embodiment of the present application. The device comprises a unit corresponding to the method for allocating claims based on the surveyor drawing, which is described in the figure 1. As shown in fig. 4, the claim case distribution apparatus 100 based on a surveyor's figure includes a data acquisition unit 101, a tag acquisition unit 102, a tag value determination unit 103, a figure determination unit 104, a classification unit 105, a request receiving unit 106, a ranking determination unit 107, and a request transmitting unit 108.

The data acquisition unit 101 is used for acquiring information of surveyors and claim record data related to the survey clerks in the claim process.

The tag obtaining unit 102 is configured to obtain a tag corresponding to a pre-set surveyor figure.

A tag value determination unit 103, configured to determine a tag value of each tag according to the information of the surveyor and the claim record data.

A portrait determination unit 104 for forming the surveyor portrait from the tags and corresponding tag values.

A classification unit 105, configured to classify the surveyor according to the surveyor drawing to obtain a class of the surveyor.

The request receiving unit 106 is configured to, if a claim settlement request is received, obtain a claim settlement identifier in the claim settlement request, where the claim settlement identifier represents an importance degree of a claim settlement case corresponding to the claim settlement request.

And the grade determining unit 107 is used for determining a grade category matched with the claim identification according to the claim identification.

And the request sending unit 108 is used for determining a target surveyor from the plurality of surveyors in the determined grade category according to a preset rule, and sending the claim settlement request to the target surveyor.

In one embodiment, as shown in fig. 5, the tag value determination unit 103 includes a manner acquisition unit 1031, a tag value acquisition determination unit 1032, a formula field acquisition unit 1033, and a tag value calculation unit 1034.

A manner obtaining unit 1031, configured to obtain a determination manner corresponding to the tag value of each tag, where the determination manner includes direct obtaining and formula calculation.

The tag value obtaining and determining unit 1032 is configured to, if the determination manner corresponding to the tag value is direct obtaining, directly obtain, from the information of the surveyor and the claim settlement record data, field data corresponding to the tag as the tag value corresponding to the tag.

A formula field obtaining unit 1033, configured to obtain a calculation formula of the tag value if the determination manner corresponding to the tag value is formula calculation, and obtain field data related to the calculation formula from the information of the surveyor and the claim data.

A tag value calculating unit 1034, configured to calculate a tag value of the tag according to the calculation formula and the field data involved in the calculation formula.

In one embodiment, the classification unit 105 includes a grade acquisition unit, a score calculation unit, and a grade classification unit. The device comprises a grade acquisition unit, a grade classification unit and a grade classification unit, wherein the grade acquisition unit is used for acquiring a preset grade classification range. And the score calculating unit is used for calculating the comprehensive score of the surveyor according to the label and the label value in the surveyor portrait and a preset label factor. And the grade classification unit is used for classifying the surveyors according to the comprehensive scores and the preset grade range of the surveyors so as to obtain the grade classes of the surveyors.

In an embodiment, the classification unit 105 comprises a model classification unit. The model classification unit is used for inputting the surveyor portrait into a preset random forest model and classifying the surveyor through the preset random forest model so as to obtain the grade category of the surveyor. In an embodiment, the apparatus further comprises a model training unit. The model training unit is used for training a preset random forest model.

In an embodiment, the apparatus further comprises a portrait viewing unit. The portrait viewing unit is used for searching the surveyor portrait corresponding to the surveyor identification information according to the surveyor identification information in the viewing request and visually displaying the surveyor portrait if the surveyor portrait viewing request is received.

In one embodiment, the apparatus further comprises: and a performance management unit. The performance management unit is used for determining the performance level of the surveyor according to the level category of the surveyor and calculating the performance of the surveyor according to the performance level of the surveyor so as to realize the performance management of the surveyor.

Fig. 6 is a schematic block diagram of an apparatus for assigning claims based on a surveyor's figure according to another embodiment of the present application. The device comprises a unit corresponding to the method for allocating claims based on the surveyor drawing, which is described in the above fig. 3. As shown in fig. 6, the claim case distribution apparatus 200 based on a surveyor's figure includes a data acquisition unit 201, a tag acquisition unit 202, a tag value determination unit 203, a figure determination unit 204, a classification unit 205, a time detection unit 206, an update data acquisition unit 207, a comparison unit 208, a tag value update unit 209, a figure update unit 210, a classification update unit 211, a request receiving unit 212, a ranking determination unit 213, and a request transmission unit 214. This embodiment differs from the embodiment shown in fig. 4 in that: a time detection unit 206, an update data acquisition unit 207, a comparison unit 208, a tag value update unit 209, a portrait update unit 210, and a classification update unit 211 are added. Other units correspond to the units shown in fig. 4 one to one, and are not described herein again. The differences will be described in detail below.

The time detection unit 206 is configured to detect whether a preset time is reached.

And the updating data acquisition unit 207 is used for acquiring the latest information of the surveyor and the latest claim settlement data related in the claim process if the preset time is reached.

The comparing unit 208 is configured to compare the information and the claim record data of the surveyor, which are obtained last time, with the latest information and the latest claim record data of the surveyor, so as to obtain updated data.

A tag value updating unit 209, configured to update the tag value of the tag related to the update data according to the update data.

A sketch updating unit 210 for updating the surveyor sketch according to the updated tag value.

A classification updating unit 211, configured to update the classification category of the surveyor according to the updated surveyor figure.

It should be noted that, as will be clear to those skilled in the art, specific implementation processes of the above apparatus and each unit may refer to corresponding descriptions in the foregoing method embodiments, and for convenience and brevity of description, no further description is provided herein.

The above-described apparatus may be implemented in the form of a computer program which is executable on a computer device as shown in fig. 7.

Fig. 7 is a schematic block diagram of a computer device according to an embodiment of the present application. The device is a terminal or the like, such as a desktop computer, a mobile phone, a PAD, etc. used by a developer. The device 100 includes a processor 102, memory, and a network interface 103 connected by a system bus 101, where the memory may include a non-volatile storage medium 104 and an internal memory 105.

The non-volatile storage medium 104 may store an operating system 1041 and computer programs 1042. The computer program 1042 stored in the nonvolatile storage medium can realize the method of assigning claims based on a surveyor's figure as described above when executed by the processor 102. The processor 102 is used to provide computing and control capabilities that support the operation of the overall device 100. The internal memory 105 provides an environment for running a computer program in the non-volatile storage medium, and when the computer program is executed by the processor 102, the processor 102 may execute the method for assigning claims based on a surveyor's figure as described in the above terminal. The network interface 103 is used for network communication. It will be appreciated by those skilled in the art that the configurations shown in the figures are block diagrams of only some of the configurations relevant to the present application, and do not constitute a limitation on the devices to which the present application may be applied, and that a particular device may include more or less components than those shown in the figures, or may combine certain components, or have a different arrangement of components.

The processor 102 is configured to run a computer program stored in a memory to implement any of the embodiments of the method for assigning claims based on a surveyor's figure.

It should be understood that, in the embodiment of the present application, the Processor 102 may be a Central Processing Unit (CPU), and the Processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

It will be understood by those skilled in the art that all or part of the flow of the method implementing the above embodiments may be implemented by a computer program instructing associated hardware. The computer program may be stored in a storage medium, which may be a computer-readable storage medium. The computer program is executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.

Accordingly, the present application also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program which, when executed by a processor, implements any of the embodiments of the method for assigning claims cases based on a surveyor's figure described above.

The storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, which can store various computer readable storage media.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and the division of the unit is only one logical function division, and other division manners may be available in actual implementation. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for assigning claims cases based on surveyor figures, the method comprising:

acquiring information of surveyors and claim settlement record data related to the surveyors in the claim settlement process;

acquiring a label corresponding to a preset surveyor portrait;

determining the label value of each label according to the information of the surveyor and the claim settlement record data;

forming the surveyor representation from the tags and corresponding tag values;

classifying the surveyors according to the surveyor portrait to obtain the grade classes of the surveyors;

if a claim settlement request is received, obtaining a claim settlement identifier in the claim settlement request, wherein the claim settlement identifier represents the importance degree of a claim settlement case corresponding to the claim settlement request;

determining a class matched with the claim identification according to the claim identification;

and determining a target surveyor from the plurality of surveyors in the determined grade category according to a preset rule, and sending the claim settlement request to the target surveyor.

2. The method of claim 1, wherein determining a tag value for each tag from the survey clerk's information and claims record data comprises:

acquiring a determining mode corresponding to the label value of each label, wherein the determining mode comprises direct acquisition and formula calculation;

if the determination mode corresponding to the label value is direct acquisition, directly acquiring field data corresponding to the label from the information of the surveyor and the claim settlement record data as the label value corresponding to the label;

if the determination mode corresponding to the tag value is formula calculation, acquiring a calculation formula of the tag value, and acquiring field data related to the calculation formula from the information of the surveyor and the claim settlement record data;

and calculating the label value of the label according to the calculation formula and the field data involved in the calculation formula.

3. The method of claim 1, further comprising:

detecting whether a preset time is reached;

if the preset time is reached, acquiring the latest information of the surveyor and the latest claims record data related in the claims processing;

comparing the information and the claim settlement record data of the surveyor obtained last time with the latest information and the latest claim settlement record data of the surveyor to obtain updated data;

updating the tag value of the tag related to the update data according to the update data;

updating the surveyor representation according to the updated tag values; and

and updating the grade category of the surveyor according to the updated surveyor portrait.

4. The method of claim 1, wherein said classifying said surveyor based on said surveyor representation to obtain a rank class of said surveyor comprises:

acquiring a preset grade category range;

calculating the comprehensive score of the surveyor according to the label and the label value in the surveyor portrait and a preset label factor;

and classifying the surveyors according to the comprehensive scores and the preset grade category range of the surveyors so as to obtain the grade categories of the surveyors.

5. The method of claim 1, wherein said classifying said surveyor based on said surveyor representation to obtain a rank class of said surveyor comprises:

and inputting the surveyor portrait into a preset random forest model, and classifying the surveyor through the preset random forest model to obtain the grade category of the surveyor.

6. The method of claim 1, wherein after said classifying said surveyor from said surveyor representation to obtain a rank class of said surveyor, said method further comprises:

and determining the performance grade of the surveyor according to the grade category of the surveyor, and calculating the performance of the surveyor according to the performance grade of the surveyor so as to realize the performance management of the surveyor.

7. The method of claim 1, wherein after said forming said surveyor representation from each tag and corresponding tag value, said method further comprises:

and if a surveyor portrait checking request is received, searching the surveyor portrait corresponding to the surveyor identification information according to the surveyor identification information in the checking request and visually displaying.

8. An apparatus for distributing claims based on surveyor's figure, the apparatus comprising:

the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring information of surveyors and claim settlement record data related to the surveyors in the claim settlement process;

the system comprises a label acquisition unit, a label acquisition unit and a label display unit, wherein the label acquisition unit is used for acquiring a label corresponding to a preset surveyor portrait;

a tag value determination unit for determining a tag value of each tag according to the information of the surveyor and the claim record data;

a portrait determination unit for forming the surveyor portrait from the tags and corresponding tag values;

the classification unit is used for classifying the surveyors according to the surveyor pictures to obtain the grade classes of the surveyors;

the request receiving unit is used for acquiring a claim settlement identifier in a claim settlement request if the claim settlement request is received, wherein the claim settlement identifier represents the importance degree of a claim settlement case corresponding to the claim settlement request;

the grade determining unit is used for determining a grade category matched with the claim identification according to the claim identification;

and the request sending unit is used for determining a target surveyor from a plurality of surveyors of the determined grade categories according to a preset rule and sending the claim settlement request to the target surveyor.

9. A computer device, comprising a memory, and a processor coupled to the memory;

the memory is used for storing a computer program; the processor is configured to execute a computer program stored in the memory to perform the method of any of claims 1-7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the method according to any one of claims 1-7.