CN118917951A - Policy data management system - Google Patents
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Abstract
The disclosure relates to a policy data management system, comprising a data receiving service, a printing center, a logistics center, a message queue service, and an object storage service, wherein: the data receiving service is used for receiving the logistics data pushed by the logistics center and the printing data pushed by the printing center; analyzing the logistics data and the printing data to obtain analyzed logistics data and printing data, wherein the analyzed logistics data and the analyzed printing data are Json data and XML data; pushing the Json data and the XML data to the message queue service; the message queue service is used for storing the Json data and the XML data to the object storage service. By adopting the system provided by the embodiment of the disclosure, the policy data management time efficiency can be improved, and the resource utilization rate and the policy data management efficiency can be improved.
Description
Technical Field
The present disclosure relates to the field of insurance technologies, and in particular, to a policy data management system.
Background
In the related art, printing flow data and logistics data of a policy are generally distributed in different systems, the data are not uniform, the data utilization rate is low, even part of the data can be lost due to never preservation, and many data depend on an external system to have a copyright problem. Therefore, if all the information of the policy is to be queried, the data of different stages of the policy need to be queried system by system, which results in lower management time efficiency, lower efficiency and lower resource utilization rate of the policy data.
Disclosure of Invention
The disclosure provides a policy data management system to at least solve the technical problems of low policy data management timeliness, low efficiency and low resource utilization rate in the related art. The technical scheme of the present disclosure is as follows:
according to an embodiment of the present disclosure, there is provided a policy data management system including a data receiving service, a printing center, a logistics center, a message queue service, an object storage service, wherein:
The data receiving service is used for receiving the logistics data pushed by the logistics center and the printing data pushed by the printing center; analyzing the logistics data and the printing data to obtain analyzed logistics data and printing data, wherein the analyzed logistics data and the analyzed printing data are Json data and XML data; pushing the Json data and the XML data to the message queue service;
The message queue service is used for storing the Json data and the XML data to the object storage service.
In one possible implementation, the system further comprises a read-write database, a read-only database and an API service, wherein,
The message queue service is further used for storing the logistics data and the original data of the printing data into the read-write database;
the read-write database is used for synchronizing the original data of the logistics data and the printing data to the read-only database;
The read-only database is used for packaging monitoring data to the API service.
In a possible implementation manner, the method further comprises a data report service for generating a data report based on the data in the read-only database.
In one possible implementation, the system further comprises a data analysis service and a data distribution service, wherein,
The data distribution service is used for reading the original data stored in the read-write database; and transmitting the different business data to the corresponding data analysis service;
the data analysis service is used for carrying out preliminary analysis on the original data; and the data storage unit is used for storing the analyzed data in the read-write database.
In one possible implementation, the system further comprises a monitoring service and a short message service, wherein,
The monitoring service is used for monitoring service states of the data receiving service, the message queue service, the read-write database, the data distributing service and the data analyzing service; and performing quality detection on the data in the read-write database;
The short message service is used for outputting a short message to preset equipment under the condition that the data quality in the read-write database does not meet the preset requirement.
In a possible implementation manner, the data receiving service is further configured to perform heartbeat detection on the message queue service, the data parsing service, the read-write database, and the data distribution service; and stopping the service corresponding to the heartbeat detection result with the problem when the heartbeat detection result with the problem exists.
In a possible implementation manner, the short message service is further configured to generate a short message based on a service corresponding to the problematic heartbeat detection result, and output the short message to a management device.
In a possible implementation manner, the data receiving service is further used for analyzing the print data, and returning the analysis state of the print data to the printing center; and analyzing the logistics data, and returning the analysis state of the logistics data to the logistics center.
In one possible implementation, the API service is configured to interface with systems other than the policy data management system.
In a possible implementation manner, the read-only database is further used for receiving a data query request; and responding to the data query request, and outputting target data.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
In the embodiment of the disclosure, in a policy data management system, a data receiving service receives logistics data pushed by a logistics center and printing data pushed by a printing center, analyzes the logistics data and the printing data to obtain analyzed Json data and XML data, and pushes the Json data and the XML data to a message queue service; the message queue service stores Json data and XML data to the object store service. Therefore, a policy data management system can be built, dependence on a third party system is reduced, full-flow management and control of policy self-generation, printing, issuing, logistics and the like are realized, meanwhile, data are analyzed into Json data and XML data to be stored locally, policy data management is facilitated, statistics and later data mining and analysis requirements of each channel data are met, data in different stages of policy are not required to be queried one by one, and therefore policy data management timeliness and resource utilization rate and policy data management efficiency can be improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
Fig. 1 is a block diagram of a policy data management system provided by an embodiment of the present disclosure.
Fig. 2 is a block diagram of a policy data management system provided by an embodiment of the present disclosure.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
As known from the background art, in the related art, since the printing flow data (i.e. the printing data) and the logistics data of the policy are in different systems, the data is not uniform, the data utilization rate is low, even part of the data is never saved, so that the data is missing, and many data even need to depend on an external system to have copyright. At present, if all information of a policy to be queried must be queried system by system to query data of different stages of the policy, the policy data management method is low in timeliness, efficiency and resource utilization rate, and local storage of the whole data and later data recycling cannot be achieved. Therefore, a policy management full-ecology system (namely a policy data management system) is built, full-flow management and control of self-generation, printing, issuing, archiving and the like of the corporate policy is realized, the requirements of digitization, specialization and fine operation of the policy are met, and full-direction policy service is provided for clients. And the data can be analyzed and stored locally, a local database is built, customized report forms and intelligent report forms are provided, and the requirements of statistics and later data mining and analysis of the data of each channel are met.
Wherein, the insurance policy is simply called "policy". Written proof of insurance contract is signed by the insurer and the applicant. The main contents of the insurance policy include: (1) The description of the related items of the insurance targets comprises the name of the insured person, the name of the insurance target and the storage place or state thereof, the insurance amount, the insurance period, the insurance fee and the like. (2) Rights and obligations of both parties, such as responsibility and unexplained responsibility, etc. (3) The remark condition refers to the insurance clause or other conditions agreed by both parties, and matters such as policy change, transfer and cancellation. Insurance policies are the primary manifestations of the contracting insurance. For simplicity, the form of a legal-efficacy reservation policy, insurance voucher or temporary policy may also be employed.
The policy data management system provided by the embodiment of the present disclosure is described in detail below with reference to the accompanying drawings.
Fig. 1 is a block diagram of a policy data management system according to an example embodiment. As shown in fig. 1, the policy data management system may include a data receiving service, a printing center, a logistics center, a message queue service, an object storage service, wherein:
The data receiving service is used for receiving the logistics data pushed by the logistics center and the printing data pushed by the printing center; analyzing the logistics data and the printing data to obtain analyzed logistics data and printing data, wherein the analyzed logistics data and the analyzed printing data are Json data and XML data; pushing the Json data and the XML data to a message queue service;
And the message queue service is used for storing the Json data and the XML data to the object storage service.
In embodiments of the present disclosure, the policy data management system may include a data receiving service that may be communicatively coupled to the print center and the logistics center. The printing center can be a service for uniformly distributing the printed paper documents, such as printing, binding and other operations; the logistics center can be used for distributing and distributing paper documents, and all logistics original information passes through the logistics center. The print center may push print data to the data receiving service and the logistics center may push logistics data to the data receiving service. After the data receiving service receives the logistics data pushed by the logistics center and the printing data pushed by the printing center, the logistics data and the printing data can be analyzed, the analyzed logistics data and printing data are Json (JavaScript Object Notation, JS object numbered musical notation) data and XML (Extensible Markup Language ) data. A message queue service is provided to store Json data and XML data to an object store service. Because the data in the printing data and the logistics data are semi-structured format data, the printing data and the logistics data cannot be directly used, and the printing data and the logistics data are analyzed into Json data and XML data, so that the data management is facilitated.
In the embodiment of the disclosure, in a policy data management system, a data receiving service receives logistics data pushed by a logistics center and printing data pushed by a printing center, analyzes the logistics data and the printing data to obtain analyzed Json data and XML data, and pushes the Json data and the XML data to a message queue service; the message queue service stores Json data and XML data to the object store service. Therefore, a policy data management system can be built, dependence on a third party system is reduced, full-flow management and control of policy self-generation, printing, issuing, logistics and the like are realized, meanwhile, data are analyzed into Json data and XML data to be stored locally, policy data management is facilitated, statistics and later data mining and analysis requirements of each channel data are met, data in different stages of policy are not required to be queried one by one, and therefore policy data management timeliness and resource utilization rate and policy data management efficiency can be improved.
In one possible implementation, the policy data management system further comprises a read-write database, a read-only database, and an API service, wherein,
The message queue service is also used for storing the original data of the logistics data and the printing data into a read-write database;
The read-write database is used for synchronizing the original data of the logistics data and the printing data to the read-only database;
And the read-only database is used for packaging the monitoring data into the API service.
In an embodiment of the present disclosure, the policy data management system further includes a read-write database and a read-only database. The read-write database and the read-only database can be realized by adopting the same entity machine, and can also realize data synchronization and read-write separation by adopting two entity machines. The read-write database is a main database and is a business database. The read-only database is a disaster recovery database, is a database backup and provides read-only service. The message queue service can be in communication connection with a read-write database and a read-only database, the original data of the logistics data and the printing data are stored in the read-write database, and the read-write database can synchronize the original data of the logistics data and the printing data to the read-only database. The read-only database may encapsulate the monitoring data to the API service, and the monitoring data may be data stored in the read-only database.
In a further possible implementation, the API service may be used to interface systems other than the policy data management system. That is, the API (Application Programming Interface ) service may interface with third party systems to facilitate centralized management of internal and external APIs, such as API creation, document generation, version control, access control, subscription management, billing metering, and the like.
In one possible implementation, the policy data management system further includes a data reporting service. The data reporting service may be used to generate data reports based on data in the read-only database. The data report service can define reports based on the data of the printing centers and the object centers such as the printing flow of the paper insurance contract, and can output and display the reports so as to facilitate business analysis.
In one possible implementation, the policy data management system further includes a data parsing service and a data distribution service; wherein:
the data distribution service is used for reading the original data stored in the read-write database; and transmitting the different business data to the corresponding data analysis service;
the data analysis service is used for carrying out preliminary analysis on the original data; and the method is used for storing the analyzed data in a read-write database.
In embodiments of the present disclosure, the data distribution service may be communicatively coupled to a read-write database and a data parsing service. The data distribution service can read the original data stored in the read-write database and transmit different service data to the corresponding data analysis service. The data distribution service can also perform preliminary analysis on the read original data, and then transmit the data to the corresponding data analysis service according to different service data, and can increase or decrease the data according to the service scale.
After receiving the data transmitted by the data distribution service, the data analysis service can perform preliminary analysis on the original data, and store the analyzed data in a read-write database. The data parsing service may be a service responsible for business processing, may be increased or decreased according to the size of the business and data, for example, may be increased when the load utilization is high, and may be decreased when the load utilization is low. And the resource utilization rate is improved. It will be appreciated that multiple services may use one server, or multiple servers (middleware or containers) may be used by one service. The data parsing service may parse the data and store the parsed data in a business database (i.e., a read-write database).
In one possible implementation, the policy data management system further comprises a monitoring service and a short message service, wherein,
The monitoring service is used for monitoring the service states of the data receiving service, the message queue service, the read-write database, the data distributing service and the data analyzing service; and performing quality detection on the data in the read-write database;
And the short message service is used for outputting the short message to the preset equipment under the condition that the data quality in the read-write database does not meet the preset requirement.
In an embodiment of the disclosure, the policy data management system further includes a monitoring service, where the monitoring service may be in communication connection with the data receiving service, the message queue service, the read-write database, the data distributing service, and the data parsing service, and is configured to monitor a service status of the data receiving service, the message queue service, the read-write database, the data distributing service, and the data parsing service, where the service status may be, for example, normal, abnormal, and the like. The monitoring service can also detect the quality of the data in the read-write database, and detect the data quality of the data stored in the read-write database, for example, the data quality can be one or more of accuracy, consistency, real-time performance, correlation and the like, or can be set according to actual requirements. If the data quality in the read-write database is detected to not meet the preset requirement, the preset requirement can be set according to the actual requirement, prompt short message information can be generated and output to preset equipment, and the preset equipment can be, for example, electronic equipment used by an administrator, such as a mobile phone, a tablet computer and the like, so that the administrator can timely know the conditions of the policy data and the policy data management system and timely maintain the policy data and the policy data management system.
In a possible implementation manner, the data receiving service can be further used for performing heartbeat detection on a message queue service, a data analysis service, a read-write database and a data distribution service; and stopping the service corresponding to the heartbeat detection result with the problem when the heartbeat detection result with the problem exists.
In the embodiment of the present disclosure, the data receiving service may further perform heartbeat detection, for example, may perform heartbeat detection on the message queue service, the data analysis service, the read-write database, and the data distribution service, to obtain heartbeat detection results of the foregoing services. For example, if a problem occurs in the heartbeat detection result display, the service corresponding to the heartbeat detection result of the heartbeat stop may be stopped. For example, if the heartbeat detection result of the data analysis service is that the heartbeat is stopped, the data analysis service may be stopped, and the data analysis service may not receive data or perform analysis processing.
In a further possible implementation manner, the short message service is further configured to generate a short message based on a service corresponding to the heartbeat detection result with a problem, and output the short message to the management device.
In the embodiment of the disclosure, once the heartbeat detection result with a problem is detected, a service corresponding to the heartbeat detection result with a problem can be determined, short message information is generated based on the service with the heartbeat stop, and the short message information is output to management equipment, such as electronic equipment of a manager, so as to prompt the manager that the manager has a certain service or a certain service with the heartbeat stop.
In one possible implementation, the data receiving service may be further configured to parse the print data, and return the parsed status of the print data to the print center; and analyzing the logistics data, and returning the analysis state of the logistics data to the logistics center.
In the embodiment of the disclosure, the data receiving service may further parse the print data and the logistics data, and return the parsed status to the print center and the logistics center. For example, the data receiving service analyzes the print data, returns the analysis state of the print data to the print center; the data receiving service analyzes the logistics data, and returns the analysis state of the logistics data to the logistics center. For example, the data receiving service may parse the print data and the logistics data, which may be simply verifying the data pushed by the logistics center and the print center, and return the verification result to the corresponding response. It can be appreciated that the verification result may be, for example, a success of the preliminary resolution or a failure of the step resolution.
In one possible implementation, the read-only database may also be used to receive data query requests; and outputting the target data in response to the data query request.
In embodiments of the present disclosure, a read-only database may provide a query service. For example, a data query request may be received, which may be entered by a user or administrator. In response to the data query request, the corresponding target data may be looked up from the read-only database and the target data may be data.
In order to make the policy data management system provided in the embodiment of the present disclosure clearer, the following details are described with reference to fig. 2.
According to the characteristics of real-time data transmission, large data volume, rapid reflection and the like, the following schemes and functions are designed for ensuring the stability, expandability, high availability, data safety and consistency of the system:
Fig. 2 is a schematic diagram of a policy data management system according to an embodiment of the disclosure. As shown in fig. 2, the policy data management system may include a data receiving service, a printing center, a logistics center, a message queue service, an object storage service, a read-write database, a read-only database, an API service, a data report service, a data parsing service, a data distribution service, a monitoring service, and a short message service. Wherein:
(1) Hardware load balanced data reception service high availability cluster
The data receiving service can adopt two high-availability clusters F5 for data receiving, and the server is used as a master slave configuration. When one server fails, the data receiving service is immediately transferred to the other server, and the real-time transmission of the data is ensured to be uninterrupted in 7 x 24 hours. The dual-machine function is realized through the load balancing hardware equipment, and the service carries out heartbeat detection on a message queue server, a data analysis database (read-write database), a data distribution server and a data analysis service. Once the service's heartbeat ceases, the data receiving service no longer receives data, returning a logistics center and print center failure response. And meanwhile, calling a short message service to send a short message to an administrator.
(2) A data reception service, operable to:
And (3) checking the validity of the data, performing simple data verification on the data pushed by the logistics center and the printing center, and returning corresponding response to the verification result. The pushing data is stored in a database, and the abnormal data or the original data can be checked out during analysis, so that the data can be further processed through backup. The data is pushed to the business processing service, the data transmission quantity is large, the analysis is complex and time-consuming, and in order to quickly receive, unnecessary IO and consumption of service memory are timely responded and reduced. The data is directly put into a message queue after being received without any processing.
(3) Message queue service
And the self-defined thread safety Queue caches play roles in high service availability and concurrent processing. The direct use of the Zbus technology message queue in this embodiment provides data queuing services, where data that first enters the queue is first processed.
(4) Data distribution service
The data distribution service is used for reading the cache data (the original data stored in the database), transmitting the cache data to the corresponding data analysis service according to different service data after preliminary analysis, and increasing and decreasing the data according to the service scale, and comprises the functions of heartbeat registration, data distribution, log record and the like.
(5) Cluster data analysis service (data analysis service)
The service responsible for business processing can be increased or decreased at any time according to the size of the business and the data. Services may be added when load utilization is high and reduced when load utilization is low. And the resource utilization rate is improved. The plurality of services may use one server or one service may use a plurality of servers (middleware or container), and the data is parsed and stored in a service database (read-write database). The service server and the distribution server (data distribution service) are contacted by the heartbeat packet, and each time one service server is started, the service server registers with one or more data distribution services, and the service server is started immediately after registration. Including heartbeat registration, logging, etc.
(6) Data reporting service
The report can be customized based on the data of the printing center and the logistics center of the paper insurance contract printing process, so that the analysis of the business is facilitated.
(7) Database (including read-write database and read-only database)
The data synchronization and the read-write separation are carried out by the two entity machines, and a domestic database can be adopted. The read-write database is a main database and is a business database. The read-only database is a disaster recovery database, is a database backup, and provides read-only service.
(8) Monitoring services
The service monitors the data receiving service, the message queue service, the read-write database, the data distribution service and the data analysis service, monitors the state of the server and detects the quality of the data in the read-write database. And calling the short message service to send a short message to an administrator once abnormality occurs.
(9) Object storage service: for saving files.
(10) And (3) a printing center: services for printing paper documents, such as printing, binding, etc., are uniformly distributed.
(11) And (3) logistics center: and distributing paper documents, wherein all logistics original information passes through a logistics center.
(12) API service: the organization may be assisted in centralized management of internal and external APIs, including creation of APIs, document generation, version control, access control, subscription management, metering billing, and the like.
(13) Short message service: if the system is abnormal, the system gives an alarm to a set manager in the form of a short message.
Based on the policy data management system, the data flow may be as follows:
(1) The printing center pushes the printed printing data to the logistics center, and simultaneously pushes the printing data to the data receiving service. The data receiving service returns the preliminary resolution status to the print center.
(2) The logistics center pushes logistics data to the data receiving service. The data receiving service returns the preliminary analysis state to the logistics center.
(3) After the data receiving service initially analyzes the print data and the logistics data successfully, the Json data and the XML data are pushed to the message queue service. If the heartbeat detects a problem, stopping service, and returning the information of the custom negotiation of the upstream system. And sending information to an administrator through a short message service.
(4) After receiving the Json or XML service, the message queue service saves the received Json or XML service in the form of a file to the object storage service. The printing data and the physical distribution data are stored in the main database, namely the read-write database.
(5) And (3) reading and writing the real-time synchronous data of the database to a read-only database, namely a disaster recovery database. The operator can check the data after the read-only database is on line. Meanwhile, the read-only database encapsulates the monitoring data to the API service so as to facilitate other system calls; in addition, data is provided for the data report service, various reports are generated by integrating various data, and the reports are provided for analysts.
(6) The data distribution service mainly reads the original data stored in the read-write database, and transmits the original data to the corresponding data analysis service according to different service data after preliminary analysis.
(7) The data analysis service analyzes the data and stores the data in the read-write database.
(8) The monitoring service monitors the data receiving service, the message queue service, the read-write database, the data distribution service and the data analysis service, monitors the state of the server and detects the quality of the data in the read-write database. And calling the short message service to send a short message to an administrator once abnormality occurs.
(9) The API service and the data report service only use the analyzed data and do not use the original data.
As a specific example, the basic information of the data structure after the data parsing service parses the data structure may be shown in table 1.
TABLE 1
Based on the policy data management system, examples of specific usage scenarios may be as follows:
(1) Query posting lists
The inquiry sending list is used for displaying related sending information which accords with the inquiry result policy, the express information of the single number can be checked by clicking the express number, and the specific number of detailed information can be checked by clicking the total number. See table 2.
TABLE 2
| Querying information | Description of the invention |
| Two-stage mechanism | The display style is as follows: XX division of the province |
| Printing dots | The display style is as follows; YET-GZ |
| Express company | The display style is as follows: YET-SF |
| Express bill number | The display style is as follows: XXXXXXXXXXXXXXX A |
| Total number of | The display style is as follows: 1 |
| Status of | The display style is as follows: delivered to |
| Addressee | The display style is as follows: XX (X) |
| Telephone set | The display style is as follows: 1XXXXXXXXXX |
| Mobile phone number | The display style is as follows: 1XXXXXXXXXX |
| Receipt address | The display style is as follows: XX-pattern XX building X layer in XX-pattern XX of XX-province XX city |
| Time of delivery | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Time of bearing | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Time of arrival | The display style is as follows: YYYY-MM-DD HH: MM: SS |
Clicking the express bill number to display the express logistics information. The total number of clicks, the content information is shown in table 3.
TABLE 3 Table 3
| Querying information | Description of the invention |
| Three-stage mechanism | The display style is as follows: 1440899 |
| Four-stage mechanism | The display style is as follows; - - |
| Products and products | The display style is as follows: policy for insurance |
| Service type | The display style is as follows: risk of individuals |
| SET_KEY | The display style is as follows: 202310090369090321 |
| Number of repair | The display style is as follows: 0 |
| Status of | The display style is as follows: delivered to |
| Time of | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Product ready time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Product planning time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Product completion time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Package ready time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Packaging schedule time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Packaging completion time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Time of package pickup | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Package time of receipt | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Five-stage mechanism | The display style is as follows: - - |
| Primary mechanism | The display style is as follows: chinese people insurance |
| Two-stage mechanism | The display style is as follows: division of Handong province |
| Number of insurance policy | The display style is as follows: 370694777584008 |
(2) Business progress
Query conditions: the inquiry condition function is to check the corresponding relevant policy service progress information according to the organization, the service company, the service type and the data time as inquiry conditions.
Query progress list: the inquiry business progress list is used for displaying relevant business progress information which accords with the inquiry result and is different in business types of each organization, and the clicking total number and the issuing number can be used for checking business progress list information under the business types corresponding to a certain organization. See Table 4. Table 4
| Querying information | Description of the invention |
| Date of data | The display style is as follows: YYYY-MM-DD |
| Primary mechanism | The display style is as follows; XXXX insurance |
| Two-stage mechanism | The display style is as follows: XX division Co Ltd |
| Service type | The display style is as follows: risk of individuals |
| Total number of | The display style is as follows: 4 |
| Issue number | The display style is as follows: 4 (100%) |
| Number to be issued | The display style is as follows: 0 |
The total number of clicks can be used for checking the business progress list information under the corresponding business type of a certain organization. The click down number can check the business progress list information under the corresponding business type of a certain organization. See table 5.
TABLE 5
| Querying information | Description of the invention |
| Two-stage mechanism | The display style is as follows: XX division Co Ltd |
| Products and products | The display style is as follows; policy for insurance |
| Service type | The display style is as follows: risk of individuals |
| UUID | The display style is as follows: b216EBC6-C6F5-82E0-8C7C-0C5D478AEF7F |
| Number of insurance policy | The display style is as follows: 12012345678008 |
| Printing dots | The display style is as follows: LRX-BJ |
| Current state of | The display style is as follows: parcel pickup |
| Data time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Time of issue | The display style is as follows: YYYY-MM-DD HH: MM: SS |
Clicking the number of outstanding can check the business progress list information under the corresponding business type of a certain organization. See table 6.
TABLE 6
| Querying information | Description of the invention |
| Two-stage mechanism | The display style is as follows: XX division Co Ltd |
| Products and products | The display style is as follows; policy for insurance |
| Service type | The display style is as follows: risk of individuals |
| UUID | The display style is as follows: b216EBC6-C6F5-82E0-8C7C-0C5D478AEF7F |
| Number of insurance policy | The display style is as follows: 120123456789008 |
| Data time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
(3) Task progress
Query conditions: the inquiry condition function is to check the corresponding relevant policy task progress information according to the organization, the service type, the outsourcer and the task date as inquiry conditions.
Query progress list: the task progress list is used for displaying the task progress information which accords with the query result and is related to different service types of each institution, and clicking the issuing number, the planning number, the production number, the packaging number, the collection number and the delivery number can check the task progress list information under the service type corresponding to a certain institution.
The click down number, the plan number, the production number, the package number and the delivery number can check the task progress list information under the corresponding business type of a certain organization, the titles displayed on the page are different (the down number, the plan number, the production number, the package number and the delivery number), and the list titles are consistent in display content. See table 7.
TABLE 7
| Querying information | Description of the invention |
| Three-stage mechanism | The display style is as follows: - - |
| Four-stage mechanism | The display style is as follows: - - |
| Service type | The display style is as follows: personal insurance policy |
| SET_KEY | The display style is as follows: 2023101123456789041 |
| Printing dots | The display style is as follows: LRX-BJ |
| Current state of | The display style is as follows: delivered to |
| Data time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Time of issue | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Planning time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Production time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Package ready time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Packaging schedule time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Packaging completion time | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Time of bearing | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Time of arrival | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Primary mechanism | The display style is as follows; XXXX insurance |
| Two-stage mechanism | The display style is as follows: XX division Co Ltd |
| Five-stage mechanism | The display style is as follows: XX division Co Ltd |
| Number of insurance policy | The display style is as follows: 37012347774008 |
Signing management (4)
And the query condition is that the corresponding relevant policy task progress information is checked according to the express bill number, the policy number and the delivery time serving as query conditions.
The query result display is that the query signing progress list displays the progress information of the related receiving tasks of the express bill numbers which meet the query result, the express bill numbers can be clicked to view the corresponding express information of the express bill numbers, the total number of the receiving products can be clicked to view the progress list information of the receiving tasks corresponding to the express bill numbers, and the waiting signing and signing can be clicked and operated (signing and receiving buttons). See table 8.
TABLE 8
| Querying information | Description of the invention |
| Logistics Co Ltd | The display style is as follows: |
| Express bill number | The display style is as follows: xxxxxxxxxxxxxxxxxxxx A |
| Time of delivery | The display style is as follows: YYYY-MM-DD HH: MM: SS |
| Addressee | The display style is as follows: XX (X) |
| Addressee telephone | The display style is as follows: 1xxxxxxxxxx |
| Receipt address | The display style is as follows: xx-city xx region xx-street xx number |
| Total number of received pieces | The display style is as follows: 1 |
| To be signed and received | The display style is as follows: 1 |
| Signed and received | The display style is as follows: 0 |
Clicking the express bill number to display the express information. Clicking the total number of receipts can check the schedule information of the corresponding receipts task of a certain express bill number, see table 9.
TABLE 9
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), the internet, and blockchain networks.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service ("Virtual PRIVATE SERVER" or simply "VPS") are overcome. The server may also be a server of a distributed system or a server that incorporates a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (10)
1. A policy data management system, comprising a data receiving service, a printing center, a logistics center, a message queue service, and an object storage service, wherein:
The data receiving service is used for receiving the logistics data pushed by the logistics center and the printing data pushed by the printing center; analyzing the logistics data and the printing data to obtain analyzed logistics data and printing data, wherein the analyzed logistics data and the analyzed printing data are Json data and XML data; pushing the Json data and the XML data to the message queue service;
The message queue service is used for storing the Json data and the XML data to the object storage service.
2. The policy data management system of claim 1, further comprising a read-write database, a read-only database, and an API service, wherein,
The message queue service is further used for storing the logistics data and the original data of the printing data into the read-write database;
the read-write database is used for synchronizing the original data of the logistics data and the printing data to the read-only database;
The read-only database is used for packaging monitoring data to the API service.
3. The policy data management system of claim 2, further comprising a data reporting service for generating a data report based on data in said read-only database.
4. The policy data management system of claim 2, further comprising a data parsing service and a data distribution service, wherein,
The data distribution service is used for reading the original data stored in the read-write database; and transmitting the different business data to the corresponding data analysis service;
the data analysis service is used for carrying out preliminary analysis on the original data; and the data storage unit is used for storing the analyzed data in the read-write database.
5. The policy data management system of claim 4, further comprising a monitoring service and a short message service, wherein,
The monitoring service is used for monitoring service states of the data receiving service, the message queue service, the read-write database, the data distributing service and the data analyzing service; and performing quality detection on the data in the read-write database;
The short message service is used for outputting a short message to preset equipment under the condition that the data quality in the read-write database does not meet the preset requirement.
6. The policy data management system according to claim 4, wherein said data receiving service is further configured to perform heartbeat detection on said message queue service, said data parsing service, said read-write database, said data distribution service; and stopping the service corresponding to the heartbeat detection result with the problem when the heartbeat detection result with the problem exists.
7. The policy data management system according to claim 6, wherein the short message service is further configured to generate a short message based on a service corresponding to the problematic heartbeat detection result, and output the short message to a management device.
8. The policy data management system according to any one of claims 1-7, wherein the data receiving service is further configured to parse the print data, return the parse status of the print data to the print center; and analyzing the logistics data, and returning the analysis state of the logistics data to the logistics center.
9. The policy data management system according to claim 2, wherein said API service is for interfacing with systems other than said policy data management system.
10. The policy data management system according to claim 2, wherein said read-only database is further configured to receive a data query request; and responding to the data query request, and outputting target data.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410941175.6A CN118917951A (en) | 2024-07-12 | 2024-07-12 | Policy data management system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410941175.6A CN118917951A (en) | 2024-07-12 | 2024-07-12 | Policy data management system |
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| CN202410941175.6A Pending CN118917951A (en) | 2024-07-12 | 2024-07-12 | Policy data management system |
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