CN117033129A - Method, device and equipment for monitoring and alarming data of clear difference - Google Patents

Abstract

The invention discloses a method, a device and equipment for monitoring and alarming data of clear and differential data, wherein the method comprises the following steps: receiving user login information, authenticating a user, and determining the access right of the user after the authentication is passed; displaying a front interface according to the user permission, wherein the front interface comprises a left functional bar and a right data display area; generating a corresponding instruction based on clicking the left function bar by a user, calling a corresponding interface to inquire a Redis database according to the instruction, and acquiring corresponding clear data to display in a right data display area, wherein the abnormal clear data are displayed in a distinguishing mode; and if the abnormal clear data exceeds the corresponding preset threshold value, executing alarm operation. The invention solves the problems of low discovery efficiency of the clear data and no monitoring and alarming of the clear data.

Description

Method, device and equipment for monitoring and alarming data of clear difference

Technical Field

The present invention relates to the field of data processing, and in particular, to a method, an apparatus, and a device for monitoring and alarming data in a clear and distinct manner.

Background

The policy information is taken as important insurance content, and must be completely and correctly cleared from the order-issuing system to each system, and in view of the importance of clearing data, monitoring and alarming are required for clearing abnormal or failed data.

In the prior art, the monitoring result is sent to related responsible persons through mails by executing the monitoring result in a database through a plurality of SQL timing. This approach generally has the following disadvantages:

(1) Abnormal data are found to be less time-efficient, typically T+2 or T+1;

(2) The resource utilization rate is low, the types are in a summary form, and links such as alarm and processing are omitted;

(3) The maintenance cost is high, if the follow-up business logic or mode is changed, the background needs to modify a plurality of query SQL, and the maintenance cost is complicated.

Disclosure of Invention

The invention provides a method, a device and equipment for monitoring and alarming clear and distinct data, which solve the problems that the clear and distinct data is found out with low efficiency and is not monitored and alarmed.

A method for monitoring and alarming data of clear difference comprises the following steps:

receiving user login information, authenticating a user, and determining the access right of the user after the authentication is passed;

displaying a front end interface according to user permission, wherein the front end interface comprises a left functional bar and a right data display area;

generating a corresponding instruction based on clicking a left function bar by a user, calling a corresponding interface to inquire a Redis database according to the instruction, and acquiring corresponding clear data to display in the right data display area, wherein the abnormal clear data are displayed in a distinguishing mode;

and if the abnormal clear data is determined to exceed the corresponding preset threshold value, executing alarm operation.

In one embodiment of the present invention, the authentication of the user, after passing the authentication, determines the access right of the user, specifically includes: checking a login address of the user, and if the login address of the user is determined to be in a white list, checking the login address not to pass and not logging in; if the login address of the user is confirmed to pass verification, the account authority is verified for the user, and a function column to be displayed on a user interface is confirmed according to the account information of the user.

In one embodiment of the present invention, the displaying the front-end interface according to the user rights specifically includes: determining the types of the items accessible to the user according to the user rights; according to the item types, initializing and inquiring data of corresponding items in Redis through a background; and returning the queried data to the front end for processing and displaying.

In one embodiment of the present invention, the generating a corresponding instruction based on clicking a left function bar by a user, calling a corresponding interface to query a Redis database according to the instruction, and obtaining corresponding clear data to display in the right data display area specifically includes: the left side function bar comprises monitoring item classification items; based on any classification item in monitoring item classification items clicked by a user, carrying out encapsulation matching according to initialization data, and displaying the initialization data and abnormal content on a front-end interface; calling a corresponding interface to perform data query according to the region and the system selected by the user; the back end matches the data packaged by the Redis according to the data query instruction and returns the matched data to the front end for display; wherein the abnormal information is displayed in a list mode.

In an embodiment of the present invention, if it is determined that the abnormal clear data exceeds the corresponding preset threshold, an alarm operation is performed, which specifically includes: extracting data with different dimensionalities from a service database according to the configured parameters and storing the data in a Redis database; analyzing abnormal error reporting data in the Redis database; performing de-duplication and quantity summarization operation on the abnormal error reporting data, and returning the total number of the summarized abnormal error reporting data to the front end for display; if the attribute value of the collected abnormal error reporting data exceeds the corresponding preset abnormal data alarm line, calling the enterprise communication robot to send alarm information to related personnel through corresponding interfaces in different time periods according to different abnormal error reporting data.

In one embodiment of the invention, the front-end development framework uses vue.js, employing an elementui as the front-end presentation component; adopting an nginx proxy web server to forward the request; the back-end service adopts python3.6 as a development language, the web framework adopts Django, and after a request is sent to the persistent layer through the back-end, data is returned and stored in Redis.

In one embodiment of the invention, advanced planning and scheduling APS is employed as a timed task scheduler; the method further comprises the steps of: and displaying the extracted data of the policy and premium information in the preset days at the front end in the form of a line graph based on the APS timing mechanism.

A device for monitoring and alarming data of different data, comprising:

the authentication module is used for receiving the user login information, authenticating the user, and determining the access right of the user after the authentication is passed;

the display module is used for displaying a front-end interface according to the user permission, wherein the front-end interface comprises a left functional bar and a right data display area;

the abnormal data acquisition module is used for generating a corresponding instruction based on clicking a left functional bar by a user, calling a corresponding interface to inquire a Redis database according to the instruction, and acquiring corresponding data to display in the right data display area, wherein the abnormal data are displayed in a distinguishing way;

and the alarm module is used for executing alarm operation if the abnormal data is determined to exceed the corresponding preset threshold value.

A differential data monitoring and alert device comprising:

at least one processor; and a memory communicatively coupled to the at least one processor via a bus; wherein,

the memory stores instructions executable by the at least one processor to implement the method as in any of the above embodiments.

A non-volatile storage medium storing computer executable instructions for execution by a processor to implement a method as in any one of the above embodiments.

The invention provides a method, a device and equipment for monitoring and alarming data of sorting different data, which at least comprise the following beneficial effects:

(1) The automatic monitoring improves the discovery efficiency of abnormal clear data and ensures the clear quality of the data;

(2) The front-end and back-end separation and caching technology is utilized, so that the functions of intelligent alarm and the like are realized while the resource integration is realized;

(3) Automatically and periodically monitoring and storing information in Redis. The data in Redis are subjected to parameter cutting according to dimensions such as system, type, importance degree and the like, and then the cut parameters are spliced into a plurality of keys for processing respectively according to a specific province and error reporting system. And finally, according to the alarm value and the time period which are configured in advance, the error data are collated and summarized, and alarm information is sent, so that the cost of later maintenance is reduced, and the efficiency of the later maintenance is improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:

FIG. 1 is a diagram of a front-to-back end separation technique system architecture provided in an embodiment of the present invention;

FIG. 2 is a schematic diagram showing steps of a method for monitoring and alarming data in clear difference according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a user login interface according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of a workbench interface according to an embodiment of the invention;

FIG. 5 is a schematic diagram showing abnormal data display in a functional page area according to an embodiment of the present invention;

FIG. 6 is a functional page line diagram of an embodiment of the present invention;

FIG. 7 is a schematic diagram of a notification function page according to an embodiment of the present invention;

FIG. 8 is a second exemplary diagram of a notification function page provided by an embodiment of the present invention;

FIG. 9 is a schematic diagram of a monitoring alarm group according to an embodiment of the present invention;

FIG. 10 is a schematic diagram of a system workflow provided by an embodiment of the present invention;

FIG. 11 is a schematic diagram of a device for monitoring and alarming data for sorting according to an embodiment of the present invention;

fig. 12 is a schematic diagram of a data monitoring and alarm device for sorting according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be clearly and completely described in connection with the following specific embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be noted that those skilled in the art explicitly and implicitly understand that the described embodiments of the invention can be combined with other embodiments without conflict. Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The terms "a," "an," "the," and similar referents in the context of the invention are not to be construed as limiting the quantity, but rather as singular or plural. The terms "comprising," "including," "having," and any variations thereof, are intended to cover a non-exclusive inclusion; the terms "first," "second," "third," and the like, as used herein, are merely distinguishing between similar objects and not representing a particular ordering of objects.

The invention provides a method, a device and equipment for monitoring and alarming data of clear difference. By combining multidimensional data statistical analysis and an abnormal information algorithm, redis is used for converting the data into a high-efficiency grouping module function, and intelligent alarm notification, processing and data platform display are realized through key value comparison and related algorithms. The system and the method have the advantages that the clearing and sorting conditions of each system are monitored more efficiently, the data quality is improved, the clearing and sorting conditions of the data in each dimension are monitored in real time, and a processing link is added to form a service closed loop. The following is a detailed description.

In one embodiment of the invention, the front-end development framework uses vue.js, employing an elementui as the front-end presentation component; adopting an nginx proxy web server to forward the request; the back-end service adopts python3.6 as a development language, the web framework adopts Django, and after a request is sent to the persistent layer through the back-end, data is returned and stored in Redis; advanced planning and scheduling (Advanced Planning and Scheduling, APS) is employed as a timed task scheduler.

Specifically, as shown in fig. 1, the invention adopts a front-end and back-end separation technology, a front-end development framework uses vue.js, an elementui as a front-end display component, a SPA, BPM, webpack and other matched components, and a nginx proxy as webserver to forward a request and pass the request to a downstream service through a web gateway service. The backend service uses python3.6 as a development language, the web framework adopts Django, and after a request is sent to the persistence layer through the backend, the data is returned to be stored in Redis. APS is used for timing task schedulers. And carrying out message notification on the normal service data and the alarm information to the enterprise WeChat group.

Fig. 2 is a schematic diagram of steps of a method for monitoring and alarming data in a clear difference system according to an embodiment of the present invention, which may include the following steps:

s210: receiving user login information, authenticating the user, and determining the access right of the user after the authentication is passed.

In one embodiment of the present invention, authenticating a user, and determining access rights of the user after passing the authentication specifically includes: checking a login address of a user, and if the login address of the user is determined to be in a white list, checking the login address not to pass, and not logging in; if the login address of the user is confirmed to pass the verification, the account authority is verified for the user, and the function column to be displayed on the user interface is confirmed according to the account information of the user.

Specifically, the user uses a proprietary account to log in an electronic commerce clearing system, the user logs in and invokes a permission system to log in and check, and the first is to check account permissions (used for different users to display different function fields) and the second is to check a white list (if the user logs in by using an external address of the white list in a special period, the user can check the permission system not to pass).

The login interface is shown in fig. 3, and the login page uses a PICC icon specific to the company and a custom system name. The login function is an internal special authentication system, so that the safety of account numbers and data is effectively improved, and personnel permission management is facilitated.

S220: and displaying a front interface according to the user permission, wherein the front interface comprises a left functional bar and a right data display area.

In one embodiment of the present invention, displaying a front-end interface according to user rights specifically includes: determining the types of the items accessible to the user according to the user rights; according to the item types, initializing and inquiring data of corresponding items in Redis through a background; and returning the queried data to the front end for processing and displaying.

Specifically, after successful login, the user enters a workbench overview interface, the workbench data is initialized to call an important project interface, a clearing and monitoring interface, APS timing, redis and other application systems, overview display is carried out on the data, and abnormal data are displayed in a distinguishing mode. When the user clicks to view the data, the front-end system can call the background application to collect the data from the Redis and the interfaces and return the data to the front end for display.

As shown in fig. 4, the workbench page is divided into a left functional bar and a right data display area;

the function bar is divided into 4 large-class items, the function bar plays a role in navigation, and different item classification display is opened according to account rights;

the data of the right data display area is displayed by the data obtained by background initialization query, the initialization data can be stored in Redis, different functional modules use different data in the Redis to return to the front end for processing and displaying, and an APS task scheduling module is adopted.

S230: based on the fact that the user clicks the left function bar to generate a corresponding instruction, a corresponding interface is called according to the instruction to inquire the Redis database, corresponding clear data are obtained to be displayed in the right data display area, and abnormal clear data are displayed in a distinguishing mode.

In one embodiment of the present invention, a corresponding instruction is generated based on a user clicking a left function bar, and a corresponding interface is called according to the instruction to query a Redis database, so as to obtain corresponding clear data to display in a right data display area, which specifically includes: the left functional column comprises monitoring item classification items; based on any classification item in the monitoring item classification items clicked by the user, carrying out encapsulation matching according to the initialization data, and displaying the initialization data and the abnormal content on a front-end interface; calling a corresponding interface to perform data query according to the region and the system selected by the user; the back end matches the data packaged by the Redis according to the data query instruction and returns the matched data to the front end for display; wherein the abnormal information is displayed in a list mode.

Specifically, the user clicks the clearing monitoring failure monitoring item to be divided into two parts of data of a new architecture and an old architecture, the two parts of data are divided into 36 areas and eight systems, as shown in fig. 5, clicking any system calls Redis to obtain data for display, special red display or display is performed on the front end of the area with abnormal data in a more prominent mode, after clicking the abnormal area, an abnormal information list interface can remove the error reporting and collect the quantity and return the error reporting to the front end for display, and the two functions of state and operation are that the front end calls Redis to obtain current state information and then performs similar error reporting information and notification message calculation integration, and meanwhile, processing information can be synchronized into a designated work group for follow-up.

In a secondary menu of the function pages, after the function pages of the monitoring item classification items are unfolded, packaging and matching are carried out according to initialized data, abnormal areas, abnormal quantity, abnormal information and other contents are displayed, and area switching and viewing are supported;

as shown in fig. 6, the front end queries according to the selected region and the system call back end interface, the back end matches and returns to the front end according to the data encapsulated by the Redis, and list-type display is performed on abnormal information, wherein the display content is as follows: the system comprises an exception system, exception error reporting content, corresponding error reporting quantity, time, a processing button and a processing state.

In the three-level menu of the function page, the interface can remove the duplicate of the abnormal report and collect the number according to the called abnormal information list and return the number to the front end to determine whether the processing is needed, if the processing is needed, a notification function can be used for conducting notification, and the notification content can be sent to a special group in a message form and prompt attention. As shown in fig. 7 and 8, the notification function is to call the wake-up robot to send information in an interface mode according to the content filled by the actual operator;

the notified content is stored in Redis and a track is generated, which can view the historical notification information content of the piece of content, including personnel name, operation time, notification content, and the like.

In one embodiment of the present invention, the data of the policy and premium information within the extracted preset days is displayed in the front end in the form of a line graph based on the APS timing mechanism.

Specifically, the data of the extracted approximately seven-day policy and premium information is displayed in the form of a line graph according to an APS timing mechanism, a self-defined time searching function is supported, and a powerful support is provided for data analysis.

As shown in fig. 6, when the user clicks the key item, the front end will initiate and call the back end Redis system to perform policy and premium inquiry, and after the back end returns policy and premium data for 7 days, the front end uses a line graph to perform ring comparison display, and the abnormal information list interface will perform duplicate removal on the abnormal report and collect the number and return to the front end to display.

S240: and if the abnormal clear data exceeds the corresponding preset threshold value, executing alarm operation.

In one embodiment of the present invention, if it is determined that the abnormal clear data exceeds the corresponding preset threshold, an alarm operation is performed, which specifically includes: extracting data with different dimensionalities from a service database according to the configured parameters and storing the data in a Redis database; analyzing abnormal error reporting data in a Redis database; performing de-duplication and quantity summarization operation on the abnormal error reporting data, and returning the total number of the summarized abnormal error reporting data to the front end for display; if the attribute value of the collected abnormal error reporting data exceeds the corresponding preset abnormal data alarm line, calling the enterprise communication robot to send alarm information to related personnel through corresponding interfaces in different time periods according to different abnormal error reporting data.

Specifically, if the important dangerous seed monitoring part adopts Redis and APS to utilize the advantage of Python calculation speed to display the new and old architecture data integration form, and meanwhile, the data inquiry can be regularly performed, and if the preset threshold value configured by people is exceeded, the information can be synchronized into a designated working group to display the alarm.

The administrator can configure a timing monitoring and alarming mechanism in a background system, determine configured alarming values and time periods, and store the data with different dimensions in a Redis system after the system extracts the data with different dimensions in a database according to configured parameters. If the stored data exceeds the abnormal data alarm line preset by the administrator, the enterprise WeChat robot is called through the interface to send alarm information to the monitoring alarm group according to different data in different time periods, and the relevant operation and maintenance technicians are notified to carry out follow-up processing as shown in FIG. 9. Meanwhile, an administrator can configure the single-volume and premium reporting function of key items and send the key items to the enterprise micro-group for notification at regular time.

FIG. 10 is a flow chart of a system operation of the invention, wherein after a user logs in, a permission system is called through a permission system interface to check the white list of a login address and the permission of an account role of the user, if the verification is not passed, the system continues to modify, after the verification is passed, a working table overview is displayed, a working table interface is called to call a Redis to obtain integral data, and a front end is called to call a back end to obtain the Redis data for classified display; the method comprises the steps that cache data generated by a workbench are stored in Redis clusters, each Redis cluster comprises a main node and two standby nodes, backlog data are queried in real time, and policy and premium data are processed; the workbench calls a clearing backlog query interface and a clearing failure query interface through the back-end service to analyze the data and returns the data to the front-end for display; storing the cache data of clearing failure monitoring, key project monitoring and important dangerous seed monitoring into a Redis cluster, and formulating Key value and carrying out timing processing; the important dangerous seed monitoring module is used for calling an important project monitoring interface to carry out important dangerous seed monitoring display; if the user has permission on the network pin non-vehicle and CPI framework items, the clearing failure monitoring module performs the proving and sharing and the system display of the failure data of the network pin non-vehicle or CPI framework items by calling the clearing monitoring interface, and the proving and sharing and the number display of the backlog number of the network pin non-vehicle or CPI framework items; calling a monitoring message robot interface through an electronic commerce clearing and sorting monitoring system to report daily single-quantity premium, and sending clearing backlog and failure warning messages at regular time; the front-end service is used for displaying all contents of the front end, and the front end calls the back-end service to acquire data.

The above method for monitoring and alarming the clear and distinct constant according to the embodiment of the present invention is based on the same inventive concept, and the embodiment of the present invention further provides a corresponding device for monitoring and alarming the clear and distinct constant, as shown in fig. 11.

The authentication module 1102 is configured to receive user login information, authenticate a user, and determine access rights of the user after passing the authentication; the display module 1104 is used for displaying a front-end interface according to the user permission, wherein the front-end interface comprises a left functional bar and a right data display area; the abnormal data acquisition module 1106 is configured to generate a corresponding instruction based on clicking the left function bar by a user, call a corresponding interface according to the instruction to query the Redis database, acquire corresponding data, and display the corresponding data in the right data display area, where the abnormal data are displayed in a distinguishing manner; and the alarm module 1108 is configured to execute an alarm operation if it is determined that the abnormal data exceeds the corresponding preset threshold.

The embodiment of the invention also provides corresponding data monitoring and alarming equipment for sorting different data, which comprises the following steps as shown in fig. 12:

at least one processor 1202 (processor), a communication interface 1204 (Communications Interface), a memory 1206 (memory), and a communication bus 1208; wherein the processor 1202, the communication interface 1204, the memory 1206 perform communication with each other via a communication bus 1208; the processor 1202 may invoke logic instructions stored in the memory 1206 to cause at least one processor 1202 to perform:

receiving user login information, authenticating a user, and determining the access right of the user after the authentication is passed; displaying a front interface according to the user permission, wherein the front interface comprises a left functional bar and a right data display area; generating a corresponding instruction based on clicking the left function bar by a user, calling a corresponding interface to inquire a Redis database according to the instruction, and acquiring corresponding clear data to display in a right data display area, wherein the abnormal clear data are displayed in a distinguishing mode; and if the abnormal clear data exceeds the corresponding preset threshold value, executing alarm operation.

Based on the same thought, some embodiments of the present invention also provide a medium corresponding to the above method.

Some embodiments of the invention provide a storage medium storing computer executable instructions for execution by a processor to perform the steps of:

receiving user login information, authenticating a user, and determining the access right of the user after the authentication is passed; displaying a front interface according to the user permission, wherein the front interface comprises a left functional bar and a right data display area; generating a corresponding instruction based on clicking the left function bar by a user, calling a corresponding interface to inquire a Redis database according to the instruction, and acquiring corresponding clear data to display in a right data display area, wherein the abnormal clear data are displayed in a distinguishing mode; and if the abnormal clear data exceeds the corresponding preset threshold value, executing alarm operation.

The embodiments of the present invention are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for the apparatus and medium embodiments, the description is relatively simple, as it is substantially similar to the method embodiments, with reference to the section of the method embodiments being relevant.

The devices and media provided in the embodiments of the present invention are in one-to-one correspondence with the methods, so that the devices and media also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media are not repeated here.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process article or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process article or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process method article or method comprising the element.

The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. While the invention has been described in detail in the foregoing general description and with reference to specific embodiments thereof, it will be apparent to one skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.

Claims (10)

1. The method for monitoring and alarming the data of the clear difference is characterized by comprising the following steps:

receiving user login information, authenticating a user, and determining the access right of the user after the authentication is passed;

displaying a front end interface according to user permission, wherein the front end interface comprises a left functional bar and a right data display area;

generating a corresponding instruction based on clicking a left function bar by a user, calling a corresponding interface to inquire a Redis database according to the instruction, and acquiring corresponding clear data to display in the right data display area, wherein the abnormal clear data are displayed in a distinguishing mode;

and if the abnormal clear data is determined to exceed the corresponding preset threshold value, executing alarm operation.

2. The method according to claim 1, wherein authenticating the user and determining the access rights of the user after passing the authentication comprises:

checking a login address of the user, and if the login address of the user is determined to be in a white list, checking the login address not to pass and not logging in;

if the login address of the user is confirmed to pass verification, the account authority is verified for the user, and a function column to be displayed on a user interface is confirmed according to the account information of the user.

3. The method according to claim 1, wherein the displaying the front-end interface according to the user rights specifically comprises:

determining the types of the items accessible to the user according to the user rights;

according to the item types, initializing and inquiring data of corresponding items in Redis through a background;

and returning the queried data to the front end for processing and displaying.

4. The method of claim 1, wherein the generating a corresponding instruction based on clicking the left function bar by the user, calling a corresponding interface to query the Redis database according to the instruction, and obtaining the corresponding clear data to display in the right data display area specifically includes:

the left side function bar comprises monitoring item classification items;

based on any classification item in monitoring item classification items clicked by a user, carrying out encapsulation matching according to initialization data, and displaying the initialization data and abnormal content on a front-end interface;

calling a corresponding interface to perform data query according to the region and the system selected by the user;

the back end matches the data packaged by the Redis according to the data query instruction and returns the matched data to the front end for display;

wherein the abnormal information is displayed in a list mode.

5. The method according to claim 1, wherein if it is determined that the abnormal clear data exceeds the corresponding preset threshold, performing an alarm operation, specifically comprising:

extracting data with different dimensionalities from a service database according to the configured parameters and storing the data in a Redis database;

analyzing abnormal error reporting data in the Redis database;

performing de-duplication and quantity summarization operation on the abnormal error reporting data, and returning the total number of the summarized abnormal error reporting data to the front end for display;

if the attribute value of the collected abnormal error reporting data exceeds the corresponding preset abnormal data alarm line, calling the enterprise communication robot to send alarm information to related personnel through corresponding interfaces in different time periods according to different abnormal error reporting data.

6. The method of claim 1, wherein the front-end development framework uses vue. Js, employing an elavent UI as a front-end presentation component;

adopting an nginx proxy web server to forward the request;

the back-end service adopts python3.6 as a development language, the web framework adopts Django, and after a request is sent to the persistent layer through the back-end, data is returned and stored in Redis.

7. The method of claim 1, wherein advanced planning and scheduling APS is employed as a timed task scheduler;

the method further comprises the steps of:

and displaying the extracted data of the policy and premium information in the preset days at the front end in the form of a line graph based on the APS timing mechanism.

8. A data monitoring and warning device for sorting different data, comprising:

the authentication module is used for receiving the user login information, authenticating the user, and determining the access right of the user after the authentication is passed;

the display module is used for displaying a front-end interface according to the user permission, wherein the front-end interface comprises a left functional bar and a right data display area;

the abnormal data acquisition module is used for generating a corresponding instruction based on clicking a left functional bar by a user, calling a corresponding interface to inquire a Redis database according to the instruction, and acquiring corresponding data to display in the right data display area, wherein the abnormal data are displayed in a distinguishing way;

and the alarm module is used for executing alarm operation if the abnormal data is determined to exceed the corresponding preset threshold value.

9. A data monitoring and alert device for sorting disparate data, comprising:

at least one processor; and a memory communicatively coupled to the at least one processor via a bus; wherein,

the memory stores instructions executable by the at least one processor to implement the method of any one of claims 1-7.

10. A non-volatile storage medium storing computer executable instructions for execution by a processor to implement the method of any one of claims 1-7.