Insurance policy data change track monitoring method and device, equipment and medium

Abstract

The invention relates to the technical field of data processing, and discloses an insurance policy data change track monitoring method, which comprises the following steps: constructing an insurance policy data model according to an insurance policy service link; triggering a data snapshot corresponding to the insurance policy data model according to a workflow of an insurance policy service link to obtain an insurance policy data object; detecting a data change field in the insurance policy data object, and identifying insurance policy change data of the insurance policy data model according to the data change field; determining a data position of the insurance policy change data in the insurance policy data model, and generating an insurance policy change model according to the data position; and performing change data rendering on the insurance policy change model to obtain an insurance policy track change model. The invention further provides an insurance policy data change track monitoring device, computer equipment and a storage medium. According to the invention, the accuracy and efficiency of policy data change track monitoring can be improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, device, equipment and medium for monitoring the change trajectory of insurance policy data. Background Art

[0002] Recording policy data change trajectories is a very important issue in the insurance industry. The industry usually records data change trajectories by adding triggers at the database level, monitoring data changes, and then recording them in the change trajectory table. However, this method is highly complex, labor-intensive, and has a long processing link, which is also prone to errors.

[0003] Existing solutions are generally based on traditional business databases. The incremental data in the business database is written into text files, processed using traditional ETL tools, and then merged with the stock data, and finally summarized for front-end report presentation. However, with the gradual development of the business, the amount of data on the source data side of the database increases year by year, the query efficiency becomes slower and slower, and the frequency and risk of unloading data errors are increasing. At the same time, it is impossible to achieve real-time data statistics in the true sense, and it is impossible to meet the real-time monitoring needs of the change trajectory of insurance policy data. Therefore, how to improve the accuracy and efficiency of monitoring the change trajectory of insurance policy data has become an urgent problem to be solved. Summary of the invention

[0004] The present invention provides a method, device, equipment and medium for monitoring the change trajectory of insurance policy data, the main purpose of which is to solve the problem of poor accuracy and efficiency in the existing monitoring of the change trajectory of insurance policy data.

[0005] To achieve the above-mentioned purpose, the present invention provides a method for monitoring the change trajectory of insurance policy data, comprising:

[0006] Obtaining an insurance policy business link, and building an insurance policy data model according to the insurance policy business link;

[0007] Triggering a data snapshot corresponding to the insurance policy data model according to the workflow of the insurance policy business link to obtain an insurance policy data object of the insurance policy data model;

[0008] Detecting a data change field in the insurance policy data object, and identifying the insurance policy change data of the insurance policy data model according to the data change field;

[0009] Determine the data position of the policy change data in the policy data model, and generate the policy change model according to the data position;

[0010] The insurance policy change model is subjected to change data rendering to obtain an insurance policy trajectory change model.

[0011] Optionally, constructing the insurance policy data model according to the insurance policy business link includes:

[0012] Determine the connection relationship between the insurance policy data model node and the insurance policy model data node according to the insurance policy business link;

[0013] Extracting the node code component corresponding to each of the policy model nodes in the pre-built database;

[0014] The node code components are spliced ​​according to the connection relationship to obtain the insurance policy data model.

[0015] Optionally, triggering a data snapshot corresponding to the policy data model according to the workflow of the policy business link to obtain the policy data object of the policy data model includes:

[0016] monitoring the policy status of the policy data model;

[0017] When the policy status changes, triggering a data snapshot of the policy data model;

[0018] The data snapshots are collected to obtain the policy data object of the policy data model.

[0019] Optionally, detecting a data change field in the insurance policy data object includes:

[0020] Reading the policy data of adjacent data snapshots in the policy data object respectively;

[0021] Calling a pre-built data comparison method according to the data type of the insurance policy data;

[0022] The data comparison method is used to perform data consistency comparison on the data attribute fields, and the data change fields are determined according to the consistency comparison results.

[0023] Optionally, determining the data location of the policy change data in the policy data model includes:

[0024] Identify the target node code component corresponding to the policy change data in the policy data model;

[0025] Performing field identification on the data model of the target node code component to obtain data fields of the data model;

[0026] The data position of the policy change data in the policy data model is determined according to the position of the data field in the data model.

[0027] Optionally, generating a policy change model according to the data location includes:

[0028] Invoking a pre-built data binding technology according to the insurance policy data model;

[0029] The data binding technology is used to bind the policy transformation data to the data position corresponding to the policy data model to obtain the policy change model.

[0030] Optionally, rendering the change data of the insurance policy change model to obtain the insurance policy track change model includes:

[0031] identifying change data in the policy change model;

[0032] Extracting binding elements from the policy change model according to the change data to obtain change data elements;

[0033] The insurance policy change model is rendered element by element according to the transformed data elements to obtain the insurance policy trajectory change model.

[0034] In order to solve the above problem, the present invention further provides a device for monitoring the change trajectory of insurance policy data, the device comprising:

[0035] A policy data model building module, used to obtain a policy business link and build a policy data model according to the policy business link;

[0036] A policy data object acquisition module, configured to trigger a data snapshot corresponding to the policy data model according to the workflow of the policy business link, and obtain the policy data object of the policy data model;

[0037] A policy change data identification module, used to detect the data change field in the policy data object, and identify the policy change data of the policy data model according to the data change field;

[0038] A policy change model generating module, used to determine the data position of the policy change data in the policy data model, and generate the policy change model according to the data position;

[0039] The insurance policy trajectory change model rendering module is used to render the change data of the insurance policy change model to obtain the insurance policy trajectory change model.

[0040] In order to solve the above problem, the present invention further provides a computer device, the computer device comprising:

[0041] at least one processor;

[0042] and, a memory communicatively coupled to the at least one processor;

[0043] Wherein, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned method for monitoring the change trajectory of insurance policy data.

[0044] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one computer program is stored. The at least one computer program is executed by a processor in a computer device to implement the above-mentioned method for monitoring the change trajectory of insurance policy data.

[0045] The embodiment of the present invention constructs a policy data model through a policy business link, triggers a data snapshot corresponding to the policy data model according to the workflow, can quickly save a data copy of the policy data model, and improve the monitoring efficiency of the subsequent determination of the change trajectory of the policy data model; identifies policy change data according to the data change field in the policy data object, can monitor changes in policy data at the data layer, and the logical processing link is short, which can improve the efficiency and accuracy of monitoring the change trajectory of policy data; generates a policy change model according to the policy change data and renders the change data, can fully view the global change trajectory of the policy data, and effectively improve the accuracy of monitoring the change trajectory of the policy data. Therefore, the monitoring method, device, computer equipment and computer-readable storage medium for the change trajectory of policy data proposed in the present invention can solve the problem of poor accuracy and efficiency of existing monitoring of the change trajectory of policy data. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of a flow chart of a method for monitoring the change trajectory of insurance policy data provided by an embodiment of the present invention;

[0047] Figure 2 A schematic diagram of a process for constructing an insurance policy data model provided by an embodiment of the present invention;

[0048] Figure 3 A schematic diagram of a process for detecting data change fields in an insurance policy data object provided by an embodiment of the present invention;

[0049] Figure 4 A functional module diagram of a device for monitoring the change trajectory of insurance policy data provided by an embodiment of the present invention;

[0050] Figure 5 is a schematic diagram of a structure of a computer device in one embodiment of the present invention;

[0051] Figure 6 It is another structural schematic diagram of a computer device in one embodiment of the present invention.

[0052] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0053] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0054] The embodiment of the present application provides a method for monitoring the trajectory of changes in insurance policy data. The execution subject of the method for monitoring the trajectory of changes in insurance policy data includes but is not limited to at least one of the computer devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for monitoring the trajectory of changes in insurance policy data can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0055] Reference Figure 1 FIG. 1 is a flow chart of a method for monitoring the change trajectory of insurance policy data provided by an embodiment of the present invention. In this embodiment, the method for monitoring the change trajectory of insurance policy data includes:

[0056] S1. Obtain an insurance policy business link, and construct an insurance policy data model based on the insurance policy business link.

[0057] In the embodiment of the present invention, the insurance policy business link refers to the entire process from sales, underwriting, insurance to claims service in the insurance field. Through the complete insurance policy business link, the data in the insurance policy can be determined and the insurance policy data model can be constructed more comprehensively.

[0058] In the embodiment of the present invention, refer to Figure 2 As shown, the construction of the insurance policy data model according to the insurance policy business link includes:

[0059] S21, determining the connection relationship between the insurance policy data model node and the insurance policy model data node according to the insurance policy business link;

[0060] S22. Extracting the node code component corresponding to each of the insurance policy model nodes from the pre-built database;

[0061] S23. Connect the node code components according to the connection relationship to obtain a policy data model.

[0062] In an embodiment of the present invention, the policy data node is the data structure contained in the policy data model and the information that needs to be entered in the policy data model. For example, the principal insured, the policyholder, the policy contact information, etc. are respectively used as a separate policy model node, wherein each data node may also include specific policy information. For example, the principal insured's information such as certificate type, certificate number, name, etc. may be set under the principal insured node to improve the policy data model.

[0063] Furthermore, developers can pre-formulate a standard policy data model, and split the standard policy data model into multiple policy model nodes. For each policy model node, write one or more code files to obtain the node code corresponding to each policy data node, and can write the corresponding node component based on the node code. At the same time, a policy model node can have different node codes, and different code files correspond to different node code components. Therefore, the node code components can be matched according to the connection relationship between each policy model node.

[0064] Among them, the policy data model is a front-end interface that can be displayed on the front end. Each node code component can display a part of the policy data model. The policy data model can be displayed on the interface used by users to intuitively show the structure of the policy data and the subsequent change trajectory of the policy data.

[0065] Specifically, the connection relationship refers to the mutual connection and dependency between the insurance policy businesses corresponding to the data model nodes, for example, the mutual connection and dependency between insurance products, services, risk factors, claims processing, etc. The connection relationship helps enterprises understand the composition of the insurance policy data model to obtain a more accurate insurance policy data model. Specifically, the connection relationship can be determined according to the execution order of the business in the insurance policy business link.

[0066] S2. Trigger a data snapshot corresponding to the insurance policy data model according to the workflow of the insurance policy business link to obtain the insurance policy data object of the insurance policy data model.

[0067] In an embodiment of the present invention, the workflow of the insurance policy business link is the process of organizing and executing each business in the insurance policy business link. The workflow may include multiple participants (such as employees, departments, devices, etc.) and may span different geographical locations and organizational levels. The workflow will include insurance policy model data corresponding to different states in the insurance policy business link, for example, the insurance policy data when the user fills in the insurance policy business model for the first time.

[0068] Furthermore, a data snapshot is a static copy or record of the policy data model at a specific point in time. The data snapshot provides an instant data view. The data snapshot is a copy of the data captured at a specific point in time, reflecting the data status at that moment, that is, when the policy status of the policy data model changes, the data snapshot of the policy data model is retained.

[0069] In detail, data snapshots have different snapshot implementation methods on different devices and platforms, such as HDFS snapshots, Spark RDD snapshots, and Cloudera Snapshot Manager. Through data snapshots, you can create consistent disk snapshots and achieve a data recovery point objective (RPO) of minutes, so that you can quickly recover data when data is lost or damaged.

[0070] In the embodiment of the present invention, triggering the data snapshot corresponding to the insurance policy data model according to the workflow of the insurance policy business link to obtain the insurance policy data object of the insurance policy data model includes:

[0071] monitoring the policy status of the policy data model;

[0072] When the policy status changes, triggering a data snapshot of the policy data model;

[0073] The data snapshots are collected to obtain the policy data object of the policy data model.

[0074] In an embodiment of the present invention, the policy status is the status of the policy data model at different time points, reflecting the entire business cycle of the policy corresponding to the policy data model from purchase to termination or end, that is, when the policy data model changes, the policy status also changes accordingly. Therefore, when the policy status changes, a data snapshot is triggered to expressly obtain a data copy of the policy data model for subsequent determination of the change trajectory of the policy data model.

[0075] Specifically, the trigger logic can be embedded in the policy data model. That is, when the policy data model is constructed, the logic of data snapshot triggering can be embedded in the code corresponding to the policy data model. When a specific operation (such as data modification of the policy data model) occurs, the creation of the data snapshot is automatically triggered and stored to obtain the policy data object.

[0076] In an embodiment of the present invention, there may be multiple data snapshots of the insurance policy data model, and the data snapshots are stored in a preset storage space, such as a pre-built database, etc., to facilitate subsequent detection of data change fields in the insurance policy data object.

[0077] S3. Detect the data change field in the insurance policy data object, and identify the insurance policy change data of the insurance policy data model according to the data change field.

[0078] In an embodiment of the present invention, there may be different types of data fields in the insurance policy data object, for example, string type, object type, etc. By changing the data fields, all the changed fields between two adjacent data snapshots of the insurance policy data model can be identified, and then the changed data in the insurance policy data model can be determined.

[0079] In the embodiment of the present invention, refer to Figure 3 As shown, the detecting of the data change field in the insurance policy data object includes:

[0080] S31, respectively reading the insurance policy data of adjacent data snapshots in the insurance policy data object;

[0081] S32, calling a pre-built data comparison method according to the data type of the insurance policy data;

[0082] S33: Perform data consistency comparison on the data attribute fields using the data comparison method, and determine the data change fields according to the consistency comparison result.

[0083] In an embodiment of the present invention, the data attribute field is a data field that describes the business attributes of the policy data, for example, data fields corresponding to the primary insured, the policyholder, policy contact, etc. The data corresponding to each policy business in the policy data is identified through the data attribute field, and then the data change field in which data changes have occurred can be detected by comparing the consistency of the data attribute fields between adjacent data snapshots.

[0084] Furthermore, a general Java Script method can be defined in advance for fields of different data types (string type, object type, etc.) to detect fields that have changed between two adjacent data snapshots, that is, to perform data consistency comparison on data attribute fields, wherein two adjacent data snapshots are data snapshots with adjacent timestamps of the data snapshots, thereby determining the change trajectory of the policy data.

[0085] Among them, Java Script method refers to the implementation of a function in the context of an object. Functions in Java Script can be called as methods of an object, can accept parameters and perform different operations based on the type or value of the parameters. For example, you can create a method to obtain the value of a specific field in an object and compare whether specific fields of two objects are equal. You can detect fields that have changed between data snapshots and obtain data change fields.

[0086] In an embodiment of the present invention, all data change fields in the policy data model are counted to obtain policy change data, and the policy change data can be stored in a pre-built change collector for subsequent data binding to reflect changes in the policy data model to obtain policy change data, wherein the change collector is a design pattern or tool for collecting or monitoring the amount of data that has changed in the policy data model.

[0087] Furthermore, the data change field may be the timestamp of each change in the policy status in the policy data model, specific policy information, customer information, product information, etc., for example, changes in fields such as the date of birth of the primary insured.

[0088] In an embodiment of the present invention, data change fields are detected by a predefined method, so that changes in policy data can be monitored at the data layer, performance issues in a high-concurrency environment can be resolved, and the efficiency of monitoring policy data change trajectories can be improved. At the same time, the logical processing link of the data change field is shorter, which can resolve the problem of low accuracy in monitoring policy data change trajectories.

[0089] S4. Determine the data position of the policy change data in the policy data model, and generate a policy change model according to the data position.

[0090] In an embodiment of the present invention, the data position is the position of the changed policy data in the policy data model. For example, if the birth date of the principal insured changes, the policy change data of the birth date of the principal insured should be bound to the data position of the birth date of the principal insured in the policy data model to locate the change trajectory of the policy data.

[0091] In the embodiment of the present invention, determining the data location of the insurance policy change data in the insurance policy data model includes:

[0092] Identify the target node code component corresponding to the policy change data in the policy data model;

[0093] Performing field identification on the data model of the target node code component to obtain data fields of the data model;

[0094] The data position of the policy change data in the policy data model is determined according to the position of the data field in the data model.

[0095] In an embodiment of the present invention, the target node code component is the node code component corresponding to the policy change data, which can be determined by the policy model node corresponding to the field of the policy change data. Through the data model in the target node code component, the code level for data binding of the target node code component can be determined, and then the data position of the policy change data in the policy data model can be determined, wherein the data model defines the type, attribute, behavior of the target node code component data and the relationship with other data models. According to the data attribute represented by each field in the data model, the data field for data binding of the data model can be determined, and then the position of the data field in the data model is used as the data position of the policy change data in the policy data model.

[0096] In the embodiment of the present invention, the policy change model binds the policy transformation data to the corresponding position of the policy data model to ensure the real-time and accuracy of the display of the policy change data.

[0097] In the embodiment of the present invention, generating the policy change model according to the data location includes:

[0098] Invoking a pre-built data binding technology according to the insurance policy data model;

[0099] The data binding technology is used to bind the policy transformation data to the data position corresponding to the policy data model to obtain the policy change model.

[0100] In an embodiment of the present invention, the data binding technology is determined according to the overall framework of the policy data model. For example, React uses state or props, Vue.js uses data or v-model, Angular uses @Input() or [(ngModel)], etc. The data binding technology can be used to bind the policy change data to the data position corresponding to the policy data model to obtain a policy change model that displays the form changes. For example, the data change of the main insured's date of birth can be displayed in the policy change model, from 1992-03-14 to 1993-03-19, and the trajectory of the policy data change can be displayed intuitively.

[0101] S5. Render the change data of the insurance policy change model to obtain an insurance policy trajectory change model.

[0102] In an embodiment of the present invention, data rendering is to add a global display style to the policy change data, and highlight the changed data fields through color, bold font or other visual elements, so that users can more intuitively view the trajectory of the entire policy data change content.

[0103] In the embodiment of the present invention, rendering the change data of the insurance policy change model to obtain the insurance policy track change model includes:

[0104] identifying change data in the policy change model;

[0105] Extracting binding elements from the policy change model according to the change data to obtain change data elements;

[0106] The insurance policy change model is rendered element by element according to the transformed data elements to obtain the insurance policy trajectory change model.

[0107] In an embodiment of the present invention, the changed data is the data that has been transformed in the policy change model, that is, the policy change data. The binding element extraction is to extract the elements that perform data processing in the policy transformation model. For example, policy nodes such as the primary insured, the policyholder, and the policy contact information can be used as transformation data elements. The model elements corresponding to the changed data in the policy change model can be obtained through the binding element extraction, and then the data bound to the model elements can be rendered to obtain the policy trajectory change model.

[0108] In the embodiment of the present invention, element rendering is to draw the visual elements such as text, color, border, shadow, etc. of each element, including transforming the color, font size, font thickness, etc. of the policy change data contained in the data element.

[0109] Furthermore, element rendering can be achieved by changing the color, font size, font thickness, etc. of the policy change data to highlight the changed data, allowing users to more intuitively view the change trajectory of the entire policy data. Specifically, the color, font and other visual characteristics of the policy change data can be controlled by adding CSS (Cascading Style Sheets) styles to obtain the policy trajectory change model after change rendering.

[0110] Furthermore, the policy trajectory change model can intuitively display the change trajectory of policy data in a policy data model, completely retaining the complete policy data at all policy status change moments, and through change data rendering, the global change trajectory of policy data can be clearly and completely viewed, which can improve the accuracy of policy data change trajectory monitoring.

[0111] like Figure 4 , which is a functional module diagram of a device for monitoring the change trajectory of insurance policy data provided by an embodiment of the present invention.

[0112] The monitoring device 100 for the change trajectory of insurance policy data of the present invention can be installed in a computer device. According to the functions to be implemented, the monitoring device 100 for the change trajectory of insurance policy data can include an insurance policy data model building module 101, an insurance policy data object acquisition module 102, an insurance policy change data identification module 103, an insurance policy change model generation module 104, and an insurance policy trajectory change model rendering module 105. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by a processor of a computer device and can complete fixed functions, which are stored in the memory of the computer device.

[0113] In this embodiment, the functions of each module / unit are as follows:

[0114] The insurance policy data model building module 101 is used to obtain an insurance policy business link and build an insurance policy data model according to the insurance policy business link;

[0115] The policy data object acquisition module 102 is used to trigger the data snapshot corresponding to the policy data model according to the workflow of the policy business link to obtain the policy data object of the policy data model;

[0116] The policy change data identification module 103 is used to detect the data change field in the policy data object, and identify the policy change data of the policy data model according to the data change field;

[0117] The insurance policy change model generating module 104 is used to determine the data position of the insurance policy change data in the insurance policy data model, and generate the insurance policy change model according to the data position;

[0118] The insurance policy trajectory change model rendering module 105 is used to render the change data of the insurance policy change model to obtain the insurance policy trajectory change model.

[0119] In detail, each module described in the monitoring device 100 for monitoring the change trajectory of insurance policy data in the embodiment of the present invention is used in the same manner as described above. Figures 1 to 3 The same technical means are used as the method for monitoring the change trajectory of insurance policy data described in , and can produce the same technical effects, so they will not be repeated here.

[0120] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 5As shown. The computer device includes a processor, a memory, a network interface and a database connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile and / or volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external client via a network connection. When the computer program is executed by the processor, it realizes the functions or steps of a service-side method for monitoring the change trajectory of insurance policy data.

[0121] In one embodiment, a computer device is provided. The computer device may be a client, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external server via a network connection. When the computer program is executed by the processor, it implements the functions or steps on the client side of a method for monitoring the change trajectory of insurance policy data

[0122] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0123] Obtaining an insurance policy business link, and building an insurance policy data model according to the insurance policy business link;

[0124] Triggering a data snapshot corresponding to the insurance policy data model according to the workflow of the insurance policy business link to obtain an insurance policy data object of the insurance policy data model;

[0125] Detecting a data change field in the insurance policy data object, and identifying the insurance policy change data of the insurance policy data model according to the data change field;

[0126] Determine the data position of the policy change data in the policy data model, and generate the policy change model according to the data position;

[0127] The insurance policy change model is subjected to change data rendering to obtain an insurance policy trajectory change model.

[0128] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0129] Obtaining an insurance policy business link, and building an insurance policy data model according to the insurance policy business link;

[0130] Triggering a data snapshot corresponding to the insurance policy data model according to the workflow of the insurance policy business link to obtain an insurance policy data object of the insurance policy data model;

[0131] Detecting a data change field in the insurance policy data object, and identifying the insurance policy change data of the insurance policy data model according to the data change field;

[0132] Determine the data position of the policy change data in the policy data model, and generate the policy change model according to the data position;

[0133] The insurance policy change model is subjected to change data rendering to obtain an insurance policy trajectory change model.

[0134] It should be noted that the above functions or steps that can be implemented by the computer-readable storage medium or computer device can refer to the relevant descriptions on the server side and the client side in the aforementioned method embodiment. To avoid repetition, they will not be described one by one here.

[0135] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0136] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0137] If software tools or components not owned by the patent applicant appear in the embodiments of the present application, they are merely used to illustrate that a wide range of software tools or components can be selected during the actual implementation of the technical solution disclosed in the present application, and do not mean that the patent applicant actually used these example software tools or components; the above-mentioned embodiments are only used to illustrate the technical solution of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for monitoring the change trajectory of insurance policy data, characterized in that: The method comprises: Obtaining an insurance policy business link, and building an insurance policy data model according to the insurance policy business link; Triggering a data snapshot corresponding to the insurance policy data model according to the workflow of the insurance policy business link to obtain an insurance policy data object of the insurance policy data model; Detecting a data change field in the insurance policy data object, and identifying the insurance policy change data of the insurance policy data model according to the data change field; Determine the data position of the policy change data in the policy data model, and generate the policy change model according to the data position; The insurance policy change model is subjected to change data rendering to obtain an insurance policy trajectory change model.

2. The method for monitoring the change trajectory of insurance policy data according to claim 1, characterized in that: The constructing of the insurance policy data model according to the insurance policy business link includes: Determine the connection relationship between the insurance policy data model node and the insurance policy model data node according to the insurance policy business link; Extracting the node code component corresponding to each of the policy model nodes in the pre-built database; The node code components are spliced ​​according to the connection relationship to obtain the insurance policy data model.

3. The method for monitoring the change trajectory of insurance policy data according to claim 1, characterized in that: The triggering of the data snapshot corresponding to the insurance policy data model according to the workflow of the insurance policy business link to obtain the insurance policy data object of the insurance policy data model includes: monitoring the policy status of the policy data model; When the policy status changes, triggering a data snapshot of the policy data model; The data snapshots are collected to obtain the policy data object of the policy data model.

4. The method for monitoring the change trajectory of insurance policy data according to claim 1, characterized in that: The detecting of the data change field in the insurance policy data object comprises: Reading the policy data of adjacent data snapshots in the policy data object respectively; Calling a pre-built data comparison method according to the data type of the insurance policy data; The data comparison method is used to perform data consistency comparison on the data attribute fields, and the data change fields are determined according to the consistency comparison results.

5. The method for monitoring the change trajectory of insurance policy data according to claim 1, characterized in that: Determining the data location of the policy change data in the policy data model includes: Identify the target node code component corresponding to the policy change data in the policy data model; Performing field identification on the data model of the target node code component to obtain data fields of the data model; The data position of the policy change data in the policy data model is determined according to the position of the data field in the data model.

6. The method for monitoring the change trajectory of insurance policy data according to claim 1, characterized in that: Generating the policy change model according to the data location includes: Invoke pre-built data binding technology according to the insurance policy data model; The data binding technology is used to bind the policy transformation data to the data position corresponding to the policy data model to obtain the policy change model.

7. The method for monitoring the change trajectory of insurance policy data according to claim 1, characterized in that: The step of rendering the change data of the insurance policy change model to obtain the insurance policy track change model includes: identifying change data in the policy change model; Extracting binding elements from the policy change model according to the change data to obtain change data elements; The insurance policy change model is rendered element by element according to the transformed data elements to obtain the insurance policy trajectory change model.

8. A device for monitoring the change trajectory of insurance policy data, characterized in that: The device comprises: A policy data model building module, used to obtain a policy business link and build a policy data model according to the policy business link; A policy data object acquisition module, used to trigger a data snapshot corresponding to the policy data model according to the workflow of the policy business link, and obtain the policy data object of the policy data model; A policy change data identification module, used to detect the data change field in the policy data object, and identify the policy change data of the policy data model according to the data change field; A policy change model generating module, used to determine the data position of the policy change data in the policy data model, and generate the policy change model according to the data position; The insurance policy trajectory change model rendering module is used to render the change data of the insurance policy change model to obtain the insurance policy trajectory change model.

9. A computer device, characterized in that: The computer device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; Wherein, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for monitoring the change trajectory of insurance policy data as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for monitoring the change trajectory of insurance policy data as described in any one of claims 1 to 7 is implemented.

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