CN112785446A - Premium data self-correction real-time display method, system and storage medium - Google Patents
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Abstract
The invention relates to a self-correction real-time display method, a self-correction real-time display system and a storage medium of premium data, wherein the method comprises the following steps: respectively extracting premium data from different service systems in real time; collecting premium data extracted from different business systems to obtain premium collection data, and calculating to obtain premium increment data; and judging whether the premium summarized data or the premium increment data correspondingly meet preset screening conditions, if the premium summarized data or the premium increment data do not meet the corresponding screening conditions, abnormally marking the premium summarized data, discarding the premium summarized data, returning to continuously extract the premium data from different business systems in real time, and otherwise synchronously displaying the premium summarized data and the corresponding premium increment data to the user. Compared with the prior art, the invention can collect and display the premium generated by a plurality of service systems in real time, and can identify and automatically correct the premium when the premium data has errors.
Description
Technical Field
The invention relates to the technical field of insurance data analysis, in particular to a self-correction real-time display method, a self-correction real-time display system and a storage medium for premium data.
Background
It is important for the insurance industry to obtain premium data accurately and in real time. The real-time and accurate premium data is convenient for enterprise managers to know the service development condition and make a quick decision, and can create atmosphere at important service nodes and improve the sales capability of enterprises. At present, most insurance enterprises generate a plurality of premium data through different business systems, and for enterprise managers, the enterprise managers need to log in a plurality of business systems regularly to check the premium data, and gather and calculate the premium data by themselves.
However, premium data generated by a plurality of different business systems are scattered and not real-time, and premium data generated by each business system is automatically collected and displayed to respective interfaces at intervals, so that real-time premium data display cannot be realized on the one hand, on the other hand, premium display interfaces of all business systems are mutually split, and if errors occur when the premium data are collected by the system, the data displayed by the system are wrong when the data are greatly reduced or increased, and the use of subsequent enterprise managers and business personnel is influenced.
Disclosure of Invention
The present invention aims to overcome the defects of the prior art and provide a method, a system and a storage medium for displaying premium data in real time by self-correction, wherein the premium data generated by a plurality of service systems can be summarized and displayed in real time, and when the premium data has errors, the premium data can be identified and automatically corrected.
The purpose of the invention can be realized by the following technical scheme: a self-correction real-time display method for premium data comprises the following steps:
s1, respectively extracting premium data from different service systems in real time;
s2, collecting premium data extracted from different service systems to obtain premium collection data, and calculating to obtain premium increment data;
s3, judging whether the premium summarized data or the premium increment data correspondingly meet preset screening conditions, if the premium summarized data or the premium increment data do not meet the corresponding screening conditions, carrying out abnormal marking on the premium summarized data, discarding the premium summarized data, and then returning to the step S1, otherwise, executing the step S4;
and S4, synchronously displaying the premium summarized data and the corresponding premium increment data to the user.
Further, the step S1 specifically includes the following steps:
s11, respectively monitoring whether the different service systems have newly added premium data in real time, and if the newly added premium data are monitored, executing a step S12;
and S12, correspondingly summarizing the newly added premium data to a data extraction table according to the data source, and stamping a time stamp on the newly added premium data.
Further, the step S11 is to set probes on different service systems to monitor whether the service system has new premium data.
Further, in step S2, the premium data extracted from different business systems are aggregated based on the time stamp of the premium data.
Further, the step S2 specifically includes the following steps:
s22, summarizing all the extracted premium data according to the time stamps of the extracted premium data, and recording premium summarized data under the time stamps according to the time sequence;
and S23, calculating the difference of the premium summarized data corresponding to the front and rear adjacent timestamps, and dividing the difference by the difference of the front and rear adjacent timestamps to obtain premium increment data.
Further, the preset screening conditions in step S3 include a first condition and a second condition, where the first condition specifically is: for the premium summarized data corresponding to the two adjacent timestamps, the premium summarized data of the later timestamp is more than or equal to the premium summarized data of the previous timestamp;
the second condition is specifically: for the premium increment data obtained by current calculation, the premium increment data cannot be larger than N times of the previous premium increment data, wherein N is a preset value.
Further, the step S3 specifically includes the following steps:
s31, discarding the premium summarized data of the timestamp if the premium summarized data of the next timestamp does not meet the first condition, and marking the exception of the premium summarized data of the timestamp, and then returning to the step S1, otherwise, executing the step S32;
s32, for the premium increment data obtained by current calculation, if the premium increment data does not meet the second condition, discarding the premium summary data of the corresponding timestamp of the premium increment data, and simultaneously carrying out exception marking on the premium summary data of the timestamp, and then returning to the step S1, otherwise, executing the step S4.
Further, step S4 is specifically to synchronously display the premium summary data of the previous time stamp and the premium increment data accumulated according to the time to the user.
A premium data self-correcting real-time display system comprises a data extraction module, a data summarization module, a data analysis module and a front-end display module which are sequentially connected, wherein the data extraction module is respectively connected with a plurality of different service systems, and is used for extracting newly added premium data from the different service systems in real time and stamping time stamps on the extracted premium data;
the data summarization module summarizes the extracted premium data according to the time stamps, records the premium summarized data under each time stamp according to the time sequence and calculates corresponding premium increment data;
the data analysis module is used for judging whether the premium summarized data or the premium increment data meet preset screening conditions or not;
and the front-end display module is used for displaying the premium summarized data of the previous timestamp and premium increment data accumulated according to time.
A computer storage medium having instructions stored thereon which, when run on a computer, cause the computer to perform any of the premium data self-correcting real-time presentation methods described above.
Compared with the prior art, the invention has the following advantages:
the invention firstly, whether the different service systems have the newly added premium data or not is respectively monitored, the newly added premium data is extracted and stamped with the timestamp, and the extracted premium data is summarized according to the timestamp, so that the problem that the premium data among the related different service systems are mutually split and independent is solved, the premium data among the different service systems can be summarized and displayed, and the global service transaction information is provided for users.
According to the method and the device, the premium summarized data corresponding to each time stamp are calculated to obtain the premium increment data based on the time difference by calculating the data difference of the adjacent front and rear time stamps, so that the original non-real-time and discontinuous premium data can be displayed in real time.
According to the premium summary data corresponding to the adjacent front and back time stamps and the corresponding premium increment data, the premium summary data of the time stamp is abandoned as long as one of the two does not meet the screening condition by setting the screening condition, so that the purpose of identifying error data is achieved, and the display problem caused by the error data and the adverse effect on the use of a user are avoided.
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FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a schematic diagram of the system of the present invention;
the notation in the figure is:
1. the system comprises a data extraction module, a data summarization module, a data analysis module, a front-end display module and a data analysis module, wherein the data extraction module 2 is connected with the data summarization module, and the data analysis module is connected with the front-end display module 4.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
Example 1
As shown in fig. 1, a premium data self-correction real-time display method includes the following steps:
s1, respectively extracting premium data from different service systems in real time, specifically, setting probes in the different service systems to monitor whether the service system has newly added premium data, if so, respectively correspondingly summarizing the newly added premium data to a data extraction table according to data sources, and stamping a time stamp on the newly added premium data;
s2, collecting premium data extracted from different service systems to obtain premium collection data, and calculating to obtain premium increment data, specifically collecting all the extracted premium data according to the time stamps of the extracted premium data, and recording the premium collection data under the time stamps according to the time sequence;
calculating the difference value of the corresponding premium summarized data of the two adjacent time stamps before and after the premium summarized data, and dividing the difference value by the difference value of the two adjacent time stamps before and after the premium summarized data to obtain premium increment data;
s3, judging whether the premium summarized data or the premium increment data correspondingly meet preset screening conditions, if the premium summarized data or the premium increment data do not meet the corresponding screening conditions, carrying out abnormal marking on the premium summarized data, discarding the premium summarized data, and then returning to the step S1, otherwise, executing the step S4;
and S4, synchronously displaying the premium summarized data and the corresponding premium increment data to the user, specifically synchronously displaying the premium summarized data of the previous time stamp and the premium increment data accumulated according to the time to the user.
The preset screening conditions in step S3 include a first condition and a second condition, where the first condition specifically is: for the premium summarized data corresponding to the two adjacent timestamps, the premium summarized data of the later timestamp is more than or equal to the premium summarized data of the previous timestamp;
the second condition is specifically: for the premium increment data obtained by current calculation, the premium increment data cannot be larger than N times of the previous premium increment data, wherein N is a preset value.
Therefore, step S3 specifically includes the following steps:
s31, discarding the premium summarized data of the timestamp if the premium summarized data of the next timestamp does not meet the first condition, and marking the exception of the premium summarized data of the timestamp, and then returning to the step S1, otherwise, executing the step S32;
s32, for the premium increment data obtained by current calculation, if the premium increment data does not meet the second condition, discarding the premium summary data of the corresponding timestamp of the premium increment data, and simultaneously carrying out exception marking on the premium summary data of the timestamp, and then returning to the step S1, otherwise, executing the step S4.
Example 2
As shown in fig. 2, a premium data self-correcting real-time display system includes a data extraction module 1, a data summarization module 2, a data analysis module 3 and a front-end display module 4, which are connected in sequence, the data extraction module 1 is respectively connected with a plurality of different service systems (service system a, service system B and service system C … … in the figure), the data extraction module 1 is used for extracting newly added premium data from the different service systems in real time and stamping a time stamp on the extracted premium data;
the data summarization module 2 summarizes the extracted premium data according to the time stamps, records the premium summarized data under each time stamp according to the time sequence, and calculates corresponding premium increment data;
the data analysis module 3 is used for judging whether the premium summarized data or the premium increment data meet the preset screening conditions;
the front-end display module 4 is used for displaying the premium summarized data of the previous time stamp and the premium increment data accumulated according to the time.
Example 3
This embodiment provides a computer storage medium, in which instructions are stored, and when the computer storage medium runs on a computer, the computer is enabled to execute the premium data self-correcting real-time display method described in embodiment 1 above.
In summary, the technical scheme can summarize and display the premium generated by a plurality of service systems in real time, and identify and automatically correct the premium when the premium data has errors. In practical application, a user monitors newly added premium data in real time by deploying probes on a plurality of business systems, extracts the premium data in real time and summarizes the premium data to a data extraction table according to data sources respectively after monitoring the premium data, and stamps a timestamp;
collecting data according to the time stamps of the premium data, and recording the premium collection data under each time stamp according to the time sequence, namely collecting the premium data of different data sources through the same index; (ii) a
Calculating the data difference value of the front timestamp and the rear timestamp, and dividing the difference value by the difference of the two timestamps to obtain premium increment data;
the front end displays the summarized data of the last timestamp, and adds the accumulated premium increment data according to time, so that the non-real-time premium data is converted into real time and is smoothly displayed according to time;
if the summarized data of the next time stamp is smaller than the summarized data of the previous time stamp, or the calculated premium increment is obviously higher than the previous premium increment, discarding the summarized data of the time stamp, accumulating and displaying the summarized data according to the premium increment data calculated before until the summarized data of the next time stamp, and marking the summarized data of the time stamp with abnormity, thereby avoiding the display problem and the adverse effect on the user caused by wrong data.
Claims (10)
1. A self-correction real-time display method for premium data is characterized by comprising the following steps:
s1, respectively extracting premium data from different service systems in real time;
s2, collecting premium data extracted from different service systems to obtain premium collection data, and calculating to obtain premium increment data;
s3, judging whether the premium summarized data or the premium increment data correspondingly meet preset screening conditions, if the premium summarized data or the premium increment data do not meet the corresponding screening conditions, carrying out abnormal marking on the premium summarized data, discarding the premium summarized data, and then returning to the step S1, otherwise, executing the step S4;
and S4, synchronously displaying the premium summarized data and the corresponding premium increment data to the user.
2. The self-correcting real-time display method of premium data according to claim 1, wherein the step S1 specifically comprises the following steps:
s11, respectively monitoring whether the different service systems have newly added premium data in real time, and if the newly added premium data are monitored, executing a step S12;
and S12, correspondingly summarizing the newly added premium data to a data extraction table according to the data source, and stamping a time stamp on the newly added premium data.
3. The method for real-time self-correcting display of premium data according to claim 2, wherein said step S11 is specifically to monitor whether the service system has new premium data by setting probes on different service systems.
4. The method according to claim 2, wherein the step S2 is to summarize premium data extracted from different business systems according to the time stamp of the premium data.
5. The self-correcting real-time display method of premium data according to claim 4, wherein the step S2 specifically comprises the following steps:
s22, summarizing all the extracted premium data according to the time stamps of the extracted premium data, and recording premium summarized data under the time stamps according to the time sequence;
and S23, calculating the difference of the premium summarized data corresponding to the front and rear adjacent timestamps, and dividing the difference by the difference of the front and rear adjacent timestamps to obtain premium increment data.
6. The self-correcting real-time display method of premium data according to claim 5, wherein the preset screening conditions in the step S3 include a first condition and a second condition, and the first condition specifically is: for the premium summarized data corresponding to the two adjacent timestamps, the premium summarized data of the later timestamp is more than or equal to the premium summarized data of the previous timestamp;
the second condition is specifically: for the premium increment data obtained by current calculation, the premium increment data cannot be larger than N times of the previous premium increment data, wherein N is a preset value.
7. The self-correcting real-time display method of premium data according to claim 6, wherein the step S3 specifically comprises the following steps:
s31, discarding the premium summarized data of the timestamp if the premium summarized data of the next timestamp does not meet the first condition, and marking the exception of the premium summarized data of the timestamp, and then returning to the step S1, otherwise, executing the step S32;
s32, for the premium increment data obtained by current calculation, if the premium increment data does not meet the second condition, discarding the premium summary data of the corresponding timestamp of the premium increment data, and simultaneously carrying out exception marking on the premium summary data of the timestamp, and then returning to the step S1, otherwise, executing the step S4.
8. The self-correcting real-time premium data presentation method according to claim 5, wherein the step S4 is specifically to present the premium summarized data of the previous time stamp and the premium increment data accumulated according to the time to the user synchronously.
9. A premium data self-correction real-time display system is characterized by comprising a data extraction module, a data summarization module, a data analysis module and a front-end display module which are sequentially connected, wherein the data extraction module is respectively connected with a plurality of different service systems, and is used for extracting newly-added premium data from the different service systems in real time and stamping time stamps on the extracted premium data;
the data summarization module summarizes the extracted premium data according to the time stamps, records the premium summarized data under each time stamp according to the time sequence and calculates corresponding premium increment data;
the data analysis module is used for judging whether the premium summarized data or the premium increment data meet preset screening conditions or not;
and the front-end display module is used for displaying the premium summarized data of the previous timestamp and premium increment data accumulated according to time.
10. A computer storage medium having stored thereon instructions which, when run on a computer, cause the computer to perform the method of self-modifying real-time presentation of premium data according to any one of claims 1 to 8.
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