Internet insurance policy traceable management method and device, equipment and storage medium
Through big data management technology, the problem of low manual management efficiency of insurance institutions is solved, efficient and reliable management of Internet insurance policies is realized, and the problem of lost orders and frame rate problems are discovered and handled in a timely manner, and regulatory requirements are met.
Patent Information
- Application Number
- CN202411259142.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-09
- Publication Date
- 2024-12-13
AI Technical Summary
In the prior art, insurance institutions have low traceability management of Internet insurance policies through manual methods and are low in reliability, making it difficult to effectively monitor and deal with lost orders and frame rate problems, resulting in the inability to meet regulatory requirements.
Big data management technology is used to generate an insurance policy management database, filter and monitor initial insurance orders, establish a target insurance order database, and issue prompt alarm signals based on monitoring results to realize automated management and real-time monitoring.
It improves the traceable management reliability of Internet insurance policies, improves management efficiency and accuracy, promptly discovers and deals with lost orders and frame rate problems, meets regulatory requirements, and avoids policy loss problems caused by missing data.
Smart Images

Figure CN119127958A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of data analysis technology, which is applied to the field of financial technology business, and in particular to a traceable management method, device, equipment and storage medium for Internet insurance policies. Background Art
[0002] With the rapid development of digital financial services, insurance sales through the Internet have become the mainstream today. Under the supervision and requirements of relevant departments, Internet insurance sales require each insurance company to meet the requirements of traceable management of Internet insurance sales behavior. Traceable Internet insurance sales behavior means that insurance institutions record and save the transaction behavior of selling insurance products on their own network platforms through sales page management and sales process records, so that they can be checked. Insurance institutions are also required to effectively monitor all processes and operational links of traceable management of sales behavior, that is, they need to conduct quality inspections and do a good job of traceable quality control, mainly including loss rate control and frame loss rate control. If the insurance institution does not do a good job of quality inspection, there will be a large-scale loss of orders or the regulator requires the insurance institution to provide quality inspection data support, and the insurance institution cannot provide it, it will be notified by the regulator, and serious cases will be suspended.
[0003] At present, insurance institutions in the industry basically conduct quality inspections manually, and regularly sample and inspect a small number of insurance policies sold on self-operated online platforms. First, confirm whether the insurance policy has a retrospective video. If there is no retrospective video, it means that the retrospective video of the insurance policy is lost, that is, the policy is lost. Then confirm whether the retrospective video content of the insurance policy is lost. If part of the insurance page is lost or part of the content of the insurance page is missing, it is a frame loss. However, manual retrospective management of insurance policies is low in frequency and efficiency, that is, the reliability of manual retrospective management of insurance policies is low. Therefore, how to improve the reliability of retrospective management of Internet insurance policies in digital financial services has become a technical problem that needs to be solved urgently. Summary of the invention
[0004] The present application provides a method, apparatus, device and storage medium for traceable management of Internet insurance policies to improve the reliability of traceable management of Internet insurance policies in digital financial services.
[0005] In a first aspect, the present application provides a method for traceable management of Internet insurance policies, the method comprising:
[0006] Generate an insurance policy management database based on at least one initial insurance order and the insurance details of each initial insurance order;
[0007] Screening each of the initial insurance orders in the policy management database using big data management technology, and establishing a target insurance order database based on the screening results;
[0008] The target insurance order library is monitored, monitoring results are generated, and prompt alarm signals are issued according to the monitoring results.
[0009] In a second aspect, the present application further provides a traceable management device for an Internet insurance policy, the device comprising:
[0010] An insurance policy management database generating module, used to generate an insurance policy management database based on at least one initial insurance order and insurance details of each initial insurance order;
[0011] A target insurance order database establishment module is used to screen each of the initial insurance orders in the insurance policy management database through big data management technology, and establish a target insurance order database according to the screening results;
[0012] The monitoring module is used to monitor the target insurance order library, generate monitoring results, and issue a prompt alarm signal according to the monitoring results.
[0013] In a third aspect, the present application also provides a computer device, comprising a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and implement the traceable management method of Internet insurance policies as described above when executing the computer program.
[0014] In a fourth aspect, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements the traceable management method of Internet insurance policies as described above.
[0015] The present application discloses a traceable management method, device, equipment and storage medium for an Internet insurance policy. The traceable management method for the Internet insurance policy includes generating an insurance policy management database based on at least one initial insurance order and the insurance details of each initial insurance order; screening each initial insurance order in the insurance policy management database through big data management technology, and establishing a target insurance order library based on the screening results; monitoring the target insurance order library, generating monitoring results, and issuing a prompt alarm signal based on the monitoring results. Through the above-mentioned method, the present application can automatically manage insurance orders through the insurance policy management database, improve management efficiency and accuracy, and through big data management technology, can monitor the status and changes of insurance orders in real time, timely discover problems in target orders, and issue prompt alarm signals based on monitoring results, which can remind business personnel to promptly handle related matters of traceable management, thereby improving the reliability of traceable management of Internet insurance policies in digital financial services. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0017] Figure 1 It is a schematic flow chart of a traceable management method for an Internet insurance policy provided in the first embodiment of the present application;
[0018] Figure 2 is a schematic flow chart of a traceable management method for an Internet insurance policy provided in the second embodiment of the present application;
[0019] Figure 3 A schematic block diagram of a traceable management device for an Internet insurance policy provided in an embodiment of the present application;
[0020] Figure 4 A schematic block diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0021] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0022] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.
[0023] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.
[0024] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0025] The embodiments of the present application provide a method, device, equipment and storage medium for the traceable management of Internet insurance policies. Among them, the traceable management method of the Internet insurance policy can be applied to the server. Through the insurance policy management database, the insurance orders can be automatically managed to improve the management efficiency and accuracy. Through the big data management technology, the status and changes of the insurance orders can be monitored in real time, and the problems in the target orders can be discovered in time. According to the monitoring results, a prompt alarm signal can be issued to remind the business personnel to deal with the relevant matters of the traceable management in time, thereby improving the reliability of the traceable management of Internet insurance policies in digital financial services. Among them, the server can be an independent server or a server cluster.
[0026] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.
[0027] See also Figure 1 , Figure 1 This is a schematic flow chart of a traceable management method for an Internet insurance policy provided by the first embodiment of the present application. The traceable management method for an Internet insurance policy can be applied to a server, and can be used to automatically manage insurance orders through an insurance policy management database to improve management efficiency and accuracy. Through big data management technology, the status and changes of insurance orders can be monitored in real time, and problems in target orders can be discovered in a timely manner. According to the monitoring results, a prompt alarm signal can be issued to remind business personnel to handle relevant matters of traceable management in a timely manner, thereby improving the reliability of traceable management of Internet insurance policies in digital financial services.
[0028] like Figure 1 As shown, the traceable management method of the Internet insurance policy specifically includes steps S10 to S30.
[0029] Step S10: Generate an insurance policy management database based on at least one initial insurance order and the insurance details of each initial insurance order;
[0030] Specifically, through the policy status information in the policy management database, it can be determined whether the policy has taken effect or expired, thereby determining whether the policy is lost.
[0031] By comparing the policy records in the policy core system and the policy information in the policy management database, it can be determined whether the policy has been issued and uploaded to the policy management database.
[0032] Step S20: screening each of the initial insurance orders in the insurance policy management database by using big data management technology, and establishing a target insurance order database according to the screening results;
[0033] Specifically, by monitoring the order flow process, it is possible to promptly discover at which stage the policy has a problem, thereby determining whether the policy has been lost.
[0034] Through the Linkdo task, the big data platform is automatically synchronized every day, and the computing power of the big data platform is used to automatically screen out the policy numbers of commercial insurance products sold on the self-operated network platform for natural persons. Then, by comparing these policy numbers with the insurance details of the policies, the policy numbers with empty insurance details are screened out, and the screening results are written into the target insurance order database.
[0035] In addition, an exception handling mechanism can be established to promptly handle and resolve target insurance orders to avoid policy loss due to abnormal circumstances.
[0036] Step S30: monitor the target insurance order database, generate monitoring results, and issue a prompt alarm signal according to the monitoring results.
[0037] In one embodiment, through big data management technology, monitoring alarms are configured to monitor whether the target insurance order database has incremental data every day. If there is incremental data, a lost order alarm email is automatically sent. The system liaisons of each channel receive the alarm email to verify the reason for the lost order. If it is a system problem, it is rectified in time. If it is a fake order behavior, it is blocked in time.
[0038] By real-time monitoring of the target insurance order database, incremental data can be discovered in a timely manner, and lost order warning emails can be automatically sent to improve response speed and efficiency. In addition to sending lost order warning emails, the system contact persons of each channel can also be notified by SMS, phone, etc. to ensure that the data in the target insurance order database can be analyzed in a timely manner, the reasons and patterns of lost orders can be discovered, and decision support can be provided to insurance companies.
[0039] This embodiment discloses a traceable management method, device, equipment and storage medium for an Internet insurance policy. The traceable management method for the Internet insurance policy includes generating an insurance policy management database based on at least one initial insurance order and the insurance details of each initial insurance order; screening each initial insurance order in the insurance policy management database through big data management technology, and establishing a target insurance order library based on the screening results; monitoring the target insurance order library, generating monitoring results, and issuing a prompt alarm signal based on the monitoring results. Through the above-mentioned method, this application can automatically manage insurance orders through the insurance policy management database, improve management efficiency and accuracy, and through big data management technology, can monitor the status and changes of insurance orders in real time, timely discover problems in target orders, and issue prompt alarm signals based on monitoring results, which can remind business personnel to promptly handle related matters of traceable management, thereby improving the reliability of traceable management of Internet insurance policies in digital financial services.
[0040] See also Figure 2 , Figure 2 This is a schematic flow chart of a traceable management method for an Internet insurance policy provided in the second embodiment of the present application. The traceable management method for an Internet insurance policy can be applied to a server, and can be used to automatically manage insurance orders through an insurance policy management database to improve management efficiency and accuracy. Through big data management technology, the status and changes of insurance orders can be monitored in real time, and problems in target orders can be discovered in a timely manner. According to the monitoring results, a prompt alarm signal can be issued to remind business personnel to handle relevant matters of traceable management in a timely manner, thereby improving the reliability of traceable management of Internet insurance policies in digital financial services.
[0041] based on Figure 1 The embodiment shown, this embodiment Figure 2 As shown, step S20 includes step S201 to step S202.
[0042] Step S201: Perform field value detection on the insurance details data in each of the initial insurance orders by using the big data management technology to generate a field value detection result;
[0043] Step S202: Filter out the target insurance order from each of the initial insurance orders according to the field value detection result, and establish the target insurance order library according to each of the target insurance orders.
[0044] In one embodiment, the field values of the insurance details data are detected through big data management technology to determine whether there is blank data. Based on the field value detection results, insurance orders with blank data are screened out from the initial insurance orders as target insurance orders. According to actual business needs and market changes, the detection strategy is continuously optimized to improve the accuracy and efficiency of detection.
[0045] According to the selected target insurance orders, a target insurance order library is established for subsequent monitoring and management. When blank data is found, the business personnel are notified to handle it in time to ensure the accuracy and completeness of the data. By conducting multi-dimensional analysis on the data in the target insurance order library, the causes and patterns of blank data can be found, providing decision support for insurance companies.
[0046] This embodiment discloses a traceable management method, device, equipment and storage medium for Internet insurance policies. The traceable management method for Internet insurance policies includes generating an insurance policy management database based on at least one initial insurance order and the insurance details of each initial insurance order; performing field value detection on the insurance details in each initial insurance order through the big data management technology to generate a field value detection result; screening out the target insurance order from each initial insurance order according to the field value detection result, and establishing the target insurance order library according to each target insurance order; monitoring the target insurance order library, generating a monitoring result, and issuing a prompt alarm signal according to the monitoring result. Through the above-mentioned method, the present application realizes comprehensive management and monitoring of insurance orders, timely discovers and solves problems existing in the traceable management of insurance orders, and improves the business efficiency and service quality of insurance companies. At the same time, by analyzing and mining the insurance policy data, it assists business personnel in timely handling the relevant matters of traceable management, and improves the reliability of traceable management of Internet insurance policies in digital financial services.
[0047] based on Figure 2 In the embodiment shown, in this embodiment, step S202 includes:
[0048] Determine the initial insurance order having at least one blank detail in the field value detection result as a data-missing order;
[0049] The target insurance policy is determined based on the order source of the data-missing order.
[0050] In one embodiment, the field values of the insurance details data are detected by big data management technology to determine whether there is blank data. If there is at least one blank detail, the initial insurance order is determined as a data-missing order. The target insurance policy is determined based on the order source of the data-missing order. For example, if the data-missing order comes from a specific channel or platform, then the insurance policy on the channel or platform is the target insurance policy.
[0051] Based on the screened target policies, a target policy database is established for subsequent monitoring and management. Once data missing is found, the business personnel will be notified in a timely manner to handle it, ensure the accuracy and completeness of the data, and realize traceable management of insurance orders.
[0052] This embodiment discloses a traceable management method, device, equipment and storage medium for Internet insurance policies. The traceable management method for Internet insurance policies includes generating an insurance policy management database based on at least one initial insurance order and the insurance details data of each initial insurance order; performing field value detection on the insurance details data in each initial insurance order through the big data management technology to generate a field value detection result; determining the initial insurance order with at least one blank detail in the field value detection result as a data missing order; determining the target insurance policy based on the order source of the data missing order, and establishing the target insurance order library according to each target insurance order; monitoring the target insurance order library, generating a monitoring result, and issuing a prompt alarm signal according to the monitoring result. Through the above method, this application can provide decision support for insurance companies through analysis and mining of insurance policy data, helping insurance companies to better understand market demand and changes, optimize products and services, and improve market competitiveness. In addition, by real-time monitoring of the target insurance order library, problems can be discovered and handled in a timely manner to avoid the problem of policy loss caused by data loss and protect the rights and interests of customers. Improves the reliability of traceable management of Internet insurance policies in digital financial services.
[0053] In a more preferred embodiment, determining the target insurance policy based on the order source of the data-missing order includes:
[0054] If the order source of the data-missing order is an Internet self-operated platform, the data-missing order will be determined as the target insurance policy.
[0055] In one embodiment, if the data-missing order comes from an Internet self-operated platform, the order is determined as a target policy, and a target policy database is established based on the screened target policies for subsequent monitoring and management.
[0056] Carry out real-time monitoring of the target policy database. Once data missing is found, notify the business personnel in time to handle it, track and provide feedback on the processing results to ensure that the data missing problem is resolved in a timely manner and ensure the accuracy and completeness of the data.
[0057] Through real-time monitoring and management of insurance policies on the Internet self-operated platform, problems can be discovered and handled in a timely manner, avoiding the loss of policies due to missing data and protecting the rights and interests of customers.
[0058] This embodiment discloses a traceable management method, device, equipment and storage medium for Internet insurance policies. The traceable management method for Internet insurance policies includes generating an insurance policy management database based on at least one initial insurance order and the insurance details data of each initial insurance order; performing field value detection on the insurance details data in each initial insurance order through the big data management technology to generate a field value detection result; determining the initial insurance order with at least one blank detail in the field value detection result as a data missing order; if the order source of the data missing order is an Internet self-operated platform, then determining the data missing order as the target insurance policy, and establishing the target insurance order library according to each target insurance order; monitoring the target insurance order library, generating monitoring results, and issuing a prompt alarm signal according to the monitoring results. In the above manner, this application improves the business efficiency and service quality of insurance companies by comprehensively managing and monitoring insurance orders, timely discovering and solving existing problems. In addition, through real-time monitoring and management of insurance policies on the Internet self-operated platform, problems can be discovered and handled in a timely manner, avoiding the loss of insurance policies due to missing data, and improving the reliability of traceable management of Internet insurance policies in digital financial services.
[0059] In a more preferred embodiment, determining the target insurance policy based on the order source of the data-missing order further includes:
[0060] If the order source of the data-missing order is an offline platform or a third-party platform, the data-missing order is determined as an insurance order to be reviewed;
[0061] The insurance order to be reviewed is sent to an offline review module, and the target insurance policy is determined through the offline review module.
[0062] In one embodiment, if the order with missing data comes from an offline platform or a third-party platform, the order is determined as an insurance order to be reviewed, and the insurance order to be reviewed is sent to the offline review module for review by offline reviewers. The target insurance policy is determined by the offline review module, and the insurance order that has passed the review is added to the target insurance policy library. The target insurance policy library is monitored in real time, and once data is found to be missing, the business personnel are notified in time to handle it to ensure the accuracy and completeness of the data.
[0063] The present embodiment discloses a traceable management method, device, equipment and storage medium for Internet insurance policies. The traceable management method for Internet insurance policies includes generating an insurance policy management database based on at least one initial insurance order and the insurance details data of each initial insurance order; performing field value detection on the insurance details data in each initial insurance order through the big data management technology to generate a field value detection result; determining the initial insurance order with at least one blank detail in the field value detection result as a data-missing order; if the order source of the data-missing order is an offline platform or a third-party platform, determining the data-missing order as an insurance order to be reviewed; sending the insurance order to be reviewed to an offline review module, and determining the target insurance policy through the offline review module, and establishing the target insurance order library according to each target insurance order; monitoring the target insurance order library, generating a monitoring result, and issuing a prompt alarm signal according to the monitoring result. Through the above method, this application can automatically manage insurance orders through the policy management database, improve management efficiency and accuracy, and through big data management technology, it can monitor the status and changes of insurance orders in real time, promptly discover problems in target orders, and issue prompt alarm signals based on monitoring results, which can remind business personnel to deal with related matters of traceable management in a timely manner, thereby improving the reliability of traceable management of Internet insurance policies in digital financial services.
[0064] based on Figure 1 In the embodiment shown, in this embodiment, step S30 includes:
[0065] In the case where there are incremental insurance orders in the target insurance order database, determining that the monitoring result is a monitoring abnormality;
[0066] When the monitoring result is the monitoring abnormality, the prompt alarm signal is issued according to the incremental insurance order.
[0067] In one embodiment, the target insurance order database is detected by big data management technology to determine whether there are incremental insurance orders. If there are incremental insurance orders, the monitoring result is determined to be a monitoring abnormality. In the case where the monitoring result is a monitoring abnormality, a prompt alarm signal is issued according to the incremental insurance orders to remind relevant personnel to handle it in a timely manner.
[0068] Through in-depth analysis and mining of incremental insurance orders, we can discover the causes and patterns of missing data and provide decision support for insurance companies.
[0069] This embodiment discloses a traceable management method, device, equipment and storage medium for an Internet insurance policy. The traceable management method for the Internet insurance policy includes generating an insurance policy management database based on at least one initial insurance order and the insurance details of each initial insurance order; screening each initial insurance order in the insurance policy management database through big data management technology, and establishing a target insurance order library according to the screening result; in the case where there is an incremental insurance order in the target insurance order library, determining that the monitoring result is a monitoring anomaly; in the case where the monitoring result is the monitoring anomaly, issuing the prompt alarm signal according to the incremental insurance order. Through the above-mentioned method, the present application can automatically manage insurance orders through the insurance policy management database, improve management efficiency and accuracy, monitor the status and changes of insurance orders in real time through big data management technology, and promptly discover problems in the target order, and issue a prompt alarm signal according to the monitoring result, which can remind business personnel to promptly handle related matters of traceable management, thereby improving the reliability of traceable management of Internet insurance policies in digital financial services.
[0070] In a more preferred embodiment, when the monitoring result is the monitoring abnormality, issuing the prompt alarm signal according to the incremental insurance order includes:
[0071] Determining the reason why the data of the incremental insurance order is missing;
[0072] Based on the type of the reason for missing data, a corresponding prompt path and alarm type are determined, wherein the prompt alarm signal includes the prompt path and the alarm type.
[0073] In one embodiment, the reasons for missing data are determined through in-depth analysis and mining of incremental insurance orders. According to the type of reasons for missing data, the corresponding prompt path and alarm type are determined. For example, if the reason for missing data is incomplete customer information, the customer can be prompted to supplement the information through SMS or email, and the alarm type can be "incomplete customer information". Incremental insurance orders are monitored in real time. Once data is found to be missing, relevant personnel are notified in time to handle it to ensure the accuracy and completeness of the data.
[0074] The present embodiment discloses a traceable management method, device, equipment and storage medium for an Internet insurance policy. The traceable management method for the Internet insurance policy includes generating an insurance policy management database based on at least one initial insurance order and the insurance details of each initial insurance order; screening each initial insurance order in the insurance policy management database by big data management technology, and establishing a target insurance order library according to the screening result; in the case where there is an incremental insurance order in the target insurance order library, determining that the monitoring result is a monitoring abnormality; determining the reason for the missing data of the incremental insurance order; based on the type of the missing data reason, determining the corresponding prompt path and alarm type, wherein the prompt alarm signal includes the prompt path and the alarm type. Through the above-mentioned method, the present application can automatically manage insurance orders through the insurance policy management database, improve management efficiency and accuracy, monitor the status and changes of insurance orders in real time through big data management technology, and promptly discover problems in the target order. According to the monitoring results, a prompt alarm signal is issued, which can remind business personnel to promptly handle related matters of traceable management, thereby improving the reliability of traceable management of Internet insurance policies in digital financial services.
[0075] See also Figure 3 , Figure 3 The embodiment of the present application provides a schematic block diagram of a device for traceable management of an Internet insurance policy, which is used to execute the aforementioned method for traceable management of an Internet insurance policy. The device for traceable management of an Internet insurance policy can be configured on a server.
[0076] like Figure 3 As shown, the traceable management device 400 of the Internet insurance policy includes:
[0077] The insurance policy management database generation module 410 is used to generate an insurance policy management database based on at least one initial insurance order and the insurance details of each initial insurance order;
[0078] A target insurance order database establishing module 420 is used to screen each of the initial insurance orders in the insurance policy management database by using big data management technology, and to establish a target insurance order database according to the screening results;
[0079] The monitoring module 430 is used to monitor the target insurance order library, generate monitoring results, and issue a prompt alarm signal according to the monitoring results.
[0080] Furthermore, the target insurance order database establishing module 420 includes:
[0081] A field value detection result generating submodule is used to perform field value detection on the insurance detail data in each of the initial insurance orders through the big data management technology to generate a field value detection result;
[0082] The target insurance order library establishment submodule is used to screen out the target insurance order from each of the initial insurance orders according to the field value detection result, and establish the target insurance order library according to each of the target insurance orders.
[0083] Furthermore, the target insurance order library establishes a submodule, including:
[0084] A data missing order determination unit, configured to determine the initial insurance order having at least one blank detail in the field value detection result as a data missing order;
[0085] The target insurance policy determining unit is used to determine the target insurance policy based on the order source of the data-missing order.
[0086] Furthermore, the target insurance policy determination unit includes:
[0087] The self-operated platform insurance policy determination subunit is used to determine the data-missing order as the target insurance policy if the order source of the data-missing order is an Internet self-operated platform.
[0088] Furthermore, the target insurance policy determination unit further includes:
[0089] A subunit for determining insurance orders to be reviewed, configured to determine the order with missing data as an insurance order to be reviewed if the order source of the order with missing data is an offline platform or a third-party platform;
[0090] The target insurance policy determination unit is used to send the insurance order to be reviewed to the offline review module, and determine the target insurance policy through the offline review module.
[0091] Furthermore, the monitoring module 430 includes:
[0092] A monitoring abnormality determination submodule, configured to determine that the monitoring result is a monitoring abnormality when there are incremental insurance orders in the target insurance order library;
[0093] The prompt alarm signal sending submodule is used to send the prompt alarm signal according to the incremental insurance order when the monitoring result is the monitoring abnormality.
[0094] Furthermore, the prompt alarm signal sending submodule includes:
[0095] a data missing reason determining unit, used to determine a data missing reason for the incremental insurance order;
[0096] The prompt alarm signal sending unit is used to determine the corresponding prompt path and alarm type based on the type of the data missing reason, wherein the prompt alarm signal includes the prompt path and the alarm type.
[0097] It should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described device and each module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.
[0098] The above-mentioned device can be implemented in the form of a computer program. Figure 4 Runs on the computer device shown.
[0099] See also Figure 4 , Figure 4 1 is a schematic block diagram of a computer device provided in an embodiment of the present application. The computer device may be a server.
[0100] See also Figure 4 The computer device includes a processor, a memory and a network interface connected through a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.
[0101] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any traceable management method of an Internet insurance policy.
[0102] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.
[0103] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any traceable management method of the Internet insurance policy.
[0104] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0105] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.
[0106] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:
[0107] Generate an insurance policy management database based on at least one initial insurance order and the insurance details of each initial insurance order;
[0108] Screening each of the initial insurance orders in the policy management database using big data management technology, and establishing a target insurance order database based on the screening results;
[0109] The target insurance order library is monitored, monitoring results are generated, and prompt alarm signals are issued according to the monitoring results.
[0110] In one embodiment, each of the initial insurance orders in the insurance policy management database is screened by big data management technology, and a target insurance order library is established according to the screening results, so as to achieve:
[0111] Performing field value detection on the insurance details data in each of the initial insurance orders by using the big data management technology to generate a field value detection result;
[0112] According to the field value detection result, the target insurance order is screened out from each of the initial insurance orders, and the target insurance order library is established according to each of the target insurance orders.
[0113] In one embodiment, according to the field value detection result, the target insurance order is screened out from each of the initial insurance orders to achieve:
[0114] Determine the initial insurance order having at least one blank detail in the field value detection result as a data-missing order;
[0115] The target insurance policy is determined based on the order source of the data-missing order.
[0116] In one embodiment, the target insurance policy is determined based on the order source of the data-missing order to achieve:
[0117] If the order source of the data-missing order is an Internet self-operated platform, the data-missing order will be determined as the target insurance policy.
[0118] In one embodiment, the target insurance policy is determined based on the order source of the data-missing order, and is also used to achieve:
[0119] If the order source of the data-missing order is an offline platform or a third-party platform, the data-missing order is determined as an insurance order to be reviewed;
[0120] The insurance order to be reviewed is sent to an offline review module, and the target insurance policy is determined through the offline review module.
[0121] In one embodiment, the target insurance order database is monitored, a monitoring result is generated, and a prompt alarm signal is issued according to the monitoring result, so as to achieve:
[0122] In the case where there are incremental insurance orders in the target insurance order database, determining that the monitoring result is a monitoring abnormality;
[0123] When the monitoring result is the monitoring abnormality, the prompt alarm signal is issued according to the incremental insurance order.
[0124] In one embodiment, when the monitoring result is the monitoring abnormality, the prompt alarm signal is issued according to the incremental insurance order to achieve:
[0125] Determining the reason why the data of the incremental insurance order is missing;
[0126] Based on the type of the reason for missing data, a corresponding prompt path and alarm type are determined, wherein the prompt alarm signal includes the prompt path and the alarm type.
[0127] A computer-readable storage medium is also provided in an embodiment of the present application, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and the processor executes the program instructions to implement any traceable management method for an Internet insurance policy provided in an embodiment of the present application.
[0128] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (Smart Medi a Card, SMC), a secure digital (Secure Digital, SD) card, a flash memory card (Flash Card), etc., equipped on the computer device.
[0129] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.
Claims
1. A traceable management method for Internet insurance policies. It is characterized in that include: Generate an insurance policy management database based on at least one initial insurance order and the insurance details of each initial insurance order; Screening each of the initial insurance orders in the policy management database using big data management technology, and establishing a target insurance order database based on the screening results; The target insurance order library is monitored, monitoring results are generated, and prompt alarm signals are issued according to the monitoring results.
2. According to the traceable management method of Internet insurance policies according to claim 1, It is characterized in that The method of screening each of the initial insurance orders in the insurance policy management database by using the big data management technology and establishing a target insurance order library according to the screening results includes: Performing field value detection on the insurance details data in each of the initial insurance orders by using the big data management technology to generate a field value detection result; According to the field value detection result, the target insurance order is screened out from each of the initial insurance orders, and the target insurance order library is established according to each of the target insurance orders.
3. According to the traceable management method of Internet insurance policies according to claim 2, It is characterized in that The step of selecting the target insurance order from the initial insurance orders according to the field value detection result includes: Determine the initial insurance order having at least one blank detail in the field value detection result as a data-missing order; The target insurance policy is determined based on the order source of the data-missing order.
4. The traceable management method of Internet insurance policies according to claim 3, It is characterized in that The step of determining the target insurance policy based on the order source of the data-missing order includes: If the order source of the data-missing order is an Internet self-operated platform, the data-missing order will be determined as the target insurance policy.
5. The traceable management method of Internet insurance policies according to claim 3, It is characterized in that The determining the target insurance policy based on the order source of the data-missing order further includes: If the order source of the data-missing order is an offline platform or a third-party platform, the data-missing order is determined as an insurance order to be reviewed; The insurance order to be reviewed is sent to an offline review module, and the target insurance policy is determined through the offline review module.
6. The traceable management method of Internet insurance policies according to claim 1, It is characterized in that The monitoring of the target insurance order database, generating monitoring results, and issuing a prompt alarm signal according to the monitoring results includes: In the case where there are incremental insurance orders in the target insurance order database, determining that the monitoring result is a monitoring abnormality; When the monitoring result is the monitoring abnormality, the prompt alarm signal is issued according to the incremental insurance order.
7. The traceable management method of Internet insurance policies according to claim 6, It is characterized in that When the monitoring result is the monitoring abnormality, issuing the prompt alarm signal according to the incremental insurance order includes: Determining the reason why the data of the incremental insurance order is missing; Based on the type of the reason for missing data, a corresponding prompt path and alarm type are determined, wherein the prompt alarm signal includes the prompt path and the alarm type.
8. A traceable management device for Internet insurance policies, It is characterized in that include: An insurance policy management database generating module, used to generate an insurance policy management database based on at least one initial insurance order and insurance details of each initial insurance order; A target insurance order database establishment module is used to screen each of the initial insurance orders in the insurance policy management database through big data management technology, and establish a target insurance order database according to the screening results; The monitoring module is used to monitor the target insurance order library, generate monitoring results, and issue a prompt alarm signal according to the monitoring results.
9. A computer device, It is characterized in that The computer device includes a memory and a processor; The memory is used to store computer programs; The processor is used to execute the computer program and implement the traceable management method of the Internet insurance policy as described in any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, enables the processor to implement the traceable management method for an Internet insurance policy as described in any one of claims 1 to 7.
Citation Information
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