CN117670634A - Smart shutdown operation system, smart shutdown operation method, and storage medium - Google Patents
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Abstract
The application provides an intelligent shutdown operation system, an intelligent shutdown operation method and a storage medium, and is applied to the field of communication. The system comprises: the system comprises a data acquisition module, a business service module, a data display module, a recommendation module, a storage module and an operation deployment module; the intelligent shutdown operation method is realized based on an intelligent shutdown operation system, and comprises the following steps: responding to the target service request, acquiring internal data and external data of the target service based on the data acquisition module, and storing the internal data and the external data into the storage module; based on the service module integrating the internal data and the external data, determining a service data wide table, and based on index information of the service data wide table, archiving the service data wide table; and carrying out data analysis on the business data broad table based on the business service module, determining a result data report, and carrying out real-time analysis result display based on the result data report. The method of the application achieves the technical effect of improving the service analysis efficiency.
Description
Technical Field
The present application relates to the field of communications, and in particular, to an intelligent shutdown operation system, an intelligent shutdown operation method, and a storage medium.
Background
With the development of communication services, the data volume of service processing increases, and integrated comprehensive processing for the communication services becomes an important direction of development in the communication field.
In the existing communication service processing, for the intelligent operation management technology part, the existing intelligent operation management system mainly comprises: a business data analysis system for data acquisition, a business data processing system for big data analysis, a management system for data analysis and operation implementation, and a system comprising from data acquisition to final operation implementation and result feedback optimization implementation; thereby realizing the operation management of the communication service.
In the prior art, because the existing operation management system applied to the communication service is mainly aimed at data acquisition, data analysis and operation implementation respectively, an integrated operation management flow is lacked; in a system comprising a complete flow, data acquisition is simplified, so that service data volume is small, and real-time data analysis of service is low in timeliness; therefore, in the prior art, the technical problem of low service analysis efficiency exists.
Disclosure of Invention
The application provides an intelligent shutdown operation system, an intelligent shutdown operation method and a storage medium, which are used for solving the technical problem of low service analysis efficiency in the prior art.
In a first aspect, the present application provides an intelligent shutdown operation system, comprising:
the data acquisition module is used for responding to the target service request and acquiring internal data and external data corresponding to the target service request based on a preset acquisition mode;
the business service module integrates based on the internal data and the external data, determines a business data wide table, determines index information corresponding to the business data wide table, and files based on the index information; performing data analysis based on the business data wide table to determine a result data report;
and the data display module is used for carrying out real-time analysis result display based on the result data report.
Optionally, the data display module is further configured to determine an analysis type of the result data report based on the result data report, determine a data display mode based on the analysis type, and perform visual real-time analysis result display based on the data display mode and the result data report.
Optionally, the intelligent shutdown operation system further comprises:
and the recommendation module is used for carrying out behavior analysis and value analysis on the target user corresponding to the target service based on the index information corresponding to the service data wide table, determining whether the target user accords with a preset standard, and if so, implementing the delayed shutdown service based on the target user.
Optionally, the intelligent shutdown operation system further comprises:
the storage module is used for storing the internal data and the external data acquired by the data acquisition module;
the operation deployment module is used for deploying the intelligent shutdown operation system based on a preset mirror image structure and a preset deployment platform.
In a second aspect, the present application provides a smart outage operation method, which is implemented based on the smart outage operation system of any one of the first aspects, and includes:
responding to the target service request, collecting internal data generated by the target service in the intelligent shutdown operation system and external data generated by the peripheral system based on the data collecting module, and storing the internal data and the external data into the storage module;
based on the service module integrating the internal data and the external data, determining a service data wide table corresponding to the target service, and archiving the service data wide table based on index information corresponding to the service data wide table;
and carrying out data analysis on the business data broad table based on the business service module, determining a result data report for representing the data analysis result, and carrying out real-time analysis result display on the result data report based on the data display module.
Optionally, the data acquisition module acquires internal data generated by the target service in the intelligent shutdown operation system and external data generated by the peripheral system, and stores the internal data and the external data in the storage module, including:
acquiring internal double-write data corresponding to a target service based on a data acquisition module and a preset acquisition mode, and determining the internal double-write data as internal data;
determining a peripheral system corresponding to the intelligent shutdown operation system based on the target service, and collecting external data corresponding to the target service based on the peripheral system and a preset data interface;
and integrating the internal data and the external data and storing the integrated data and the external data into a storage module corresponding to the intelligent shutdown operation system.
Optionally, archiving the service data broad table based on the index information corresponding to the service data broad table includes:
determining index information corresponding to the business data wide table based on the target business, and adding the index information to the business data wide table;
determining data classification in the business data wide table based on the index information;
and labeling, archiving and storing the business data broad table based on the data classification.
Optionally, after the real-time analysis result presentation of the result data report based on the data presentation module, the method further comprises,
based on the recommendation module and index information corresponding to the service data wide table, carrying out recommendation analysis on the service data wide table corresponding to the target service, analyzing a target user corresponding to the target service and determining whether the target user accords with high-value user standards; if yes, the target user is determined to be a high-value user, wherein the high-value user is a user with configurable delay shutdown service.
In a third aspect of the present application, there is provided an intelligent shutdown operation apparatus, comprising:
a processor and a memory;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to cause the smart outage operating apparatus to perform the smart outage method of any one of the second aspects.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions that, when executed by a processor, are configured to implement the intelligent shutdown operation method of any of the second aspects.
Provided are an intelligent shutdown operation system, an intelligent shutdown operation method, and a storage medium. The wisdom shut down operation system includes: the system comprises a data acquisition module, a business service module, a data display module, a recommendation module, a storage module and an operation deployment module; the intelligent shutdown operation method is realized based on an intelligent shutdown operation system, and comprises the following steps: responding to the target service request, collecting internal data generated by the target service in the intelligent shutdown operation system and external data generated by the peripheral system based on the data collecting module, and storing the internal data and the external data into the storage module; based on the service module integrating the internal data and the external data, determining a service data wide table corresponding to the target service, and archiving the service data wide table based on index information corresponding to the service data wide table; and carrying out data analysis on the business data broad table based on the business service module, determining a result data report for representing the data analysis result, and carrying out real-time analysis result display on the result data report based on the data display module. The method comprises the steps that internal data and external data generated in the execution process of a target service are acquired through a data acquisition module, and are stored and integrated into a service data wide table; determining index information of service data corresponding to the target service based on the service data wide table, and realizing archiving of the service data wide table based on the index information; data analysis is carried out based on the business data wide table, and different result data reports which are not corresponding to the target are obtained; and the high-value user is determined based on the recommendation module and the index information and used for configuring preset business conforming to operation development. Compared with the prior art, the method and the device have the advantages that internal data generated by the target service in the system are obtained in a unified mode, and various external data are determined and obtained based on the target service; the service data volume is improved; meanwhile, data analysis is carried out based on a business data wide table corresponding to the target business, and a high-value user is determined while a plurality of result data reports are obtained, so that real-time visual data analysis is realized; therefore, the technical effect of improving the service analysis efficiency is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic structural diagram of an intelligent shutdown operation system according to an embodiment of the present disclosure;
FIG. 2 is a flowchart I of a smart outage method according to an embodiment of the present disclosure;
FIG. 3 is a second flowchart of a smart outage method according to an embodiment of the present disclosure;
FIG. 4 is a third flowchart of an intelligent shutdown operation method according to an embodiment of the present disclosure;
fig. 5 is a hardware structure diagram of the intelligent shutdown operation device provided in the embodiment of the present application.
Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
The terms referred to in this application are explained first:
kafka: refers to a distributed stream processing platform for building high-performance, scalable real-time data stream applications. It has the characteristics of high throughput, low delay, durability and fault tolerance. The core concept of Kafka is a message queue that allows applications to communicate by way of publish and subscribe messages. Kafka can handle large-scale data streams and support a variety of data sources and data consumers.
Escrow service (OGG): is a real-time data copying and data integrating tool. The method can realize real-time data synchronization and replication among heterogeneous databases, including Oracle databases, non-Oracle databases and cloud databases. The OGG can capture the change data of the source database and transmit the change data to the target database, so that the real-time synchronization and the copying of the data are realized.
Data transfer service (Data Transmission Service, DTS): refers to a data migration service. It can assist users in migrating data from one data source to another, including database migration, data synchronization, and data subscription scenarios. DTS supports a variety of data sources and targets including relational databases, noSQL databases, cloud databases. The method provides an efficient, safe and reliable data migration solution, and can meet the data migration requirements in different scenes.
Distributed Database (HBase): refers to a distributed, extensible, column-oriented, non-relational database in the Apache Hadoop ecosystem. It provides a high reliability, high performance data storage and access capability based on the Hadoop distributed file (Hadoop Distributed File System, HDFS) storage system. The HBase is suitable for large-scale data storage and real-time query, and has high scalability and fault tolerance.
TiDB: is a distributed SQL database, and can realize horizontal expansion and high availability. TiDB is compatible with MySQL protocol, is suitable for large-scale data storage and high concurrent scene, includes: internet application and financial systems.
MySQL: is an open-source relational database management system and is widely applied to various application programs and websites. MySQL has good performance, reliability and scalability, supporting standard SQL language and transaction processing. It is suitable for small and medium-sized application and scene that the data volume is less, include: personal websites and enterprise internal applications.
Remote dictionary service (Remote Dictionary Server, redis): is an open-source memory data storage system, also known as a key-value storage system. It supports a variety of data structures including: strings, hash tables, lists, collections, and ordered collections. Redis stores data in a memory, so that the Redis has a very replication function, can store the data on a disk, is suitable for caching, session storage, message queuing and other scenes, and is widely applied to Web applications and distributed systems.
In the existing communication service processing, for the intelligent operation management technology part, the existing intelligent operation management system mainly comprises: a business data analysis system for data acquisition, a business data processing system for big data analysis, a management system for data analysis and operation implementation, and a system comprising from data acquisition to final operation implementation and result feedback optimization implementation; thereby realizing the operation management of the communication service. In the prior art, because the existing operation management system applied to the communication service is mainly aimed at data acquisition, data analysis and operation implementation respectively, an integrated operation management flow is lacked; in a system comprising a complete flow, data acquisition is simplified, so that service data volume is small, and real-time data analysis of service is low in timeliness; therefore, in the prior art, the technical problem of low service analysis efficiency exists.
Provided are an intelligent shutdown operation system, an intelligent shutdown operation method, and a storage medium. The wisdom shut down operation system includes: the system comprises a data acquisition module, a business service module, a data display module, a recommendation module, a storage module and an operation deployment module; the intelligent shutdown operation method is realized based on an intelligent shutdown operation system, and comprises the following steps: responding to the target service request, collecting internal data generated by the target service in the intelligent shutdown operation system and external data generated by the peripheral system based on the data collecting module, and storing the internal data and the external data into the storage module; based on the service module integrating the internal data and the external data, determining a service data wide table corresponding to the target service, and archiving the service data wide table based on index information corresponding to the service data wide table; and carrying out data analysis on the business data broad table based on the business service module, determining a result data report for representing the data analysis result, and carrying out real-time analysis result display based on the result data report. The method comprises the steps that internal data and external data generated in the execution process of a target service are acquired through a data acquisition module, and are stored and integrated into a service data wide table; determining index information of service data corresponding to the target service based on the service data wide table, and realizing archiving of the service data wide table based on the index information; data analysis is carried out based on the business data wide table, and different result data reports which are not corresponding to the target are obtained; and determining a high-value user based on the data report of the data display module and the recommendation module and the index information, and configuring a preset service conforming to operation development. Compared with the prior art, the method and the device have the advantages that internal data generated by the target service in the system are obtained in a unified mode, and various external data are determined and obtained based on the target service; the service data volume is improved; meanwhile, data analysis is carried out based on a business data wide table corresponding to the target business, and a high-value user is determined while a plurality of result data reports are obtained, so that real-time visual data analysis is realized; therefore, the technical effect of improving the service analysis efficiency is achieved; the technical problem of low service analysis efficiency in the prior art is solved.
The following describes the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of an intelligent shutdown operation system according to an embodiment of the present application. As shown in fig. 1, an intelligent shutdown operation system 100 provided in an embodiment of the present application includes:
the data acquisition module 101 is configured to respond to the target service request, and acquire internal data and external data corresponding to the target service request based on a preset acquisition mode;
the business service module 102 integrates based on the internal data and the external data, determines a business data wide table, determines index information corresponding to the business data wide table, and files based on the index information; performing data analysis based on the business data wide table to determine a result data report;
the data display module 103 is configured to perform real-time analysis result display based on the result data report.
The data display module 103 is further configured to determine an analysis type of the result data report based on the result data report, determine a data display mode based on the analysis type, and perform visual real-time analysis result display based on the data display mode and the result data report.
In a possible implementation manner, the smart outage operation system 100 further includes:
and the recommendation module 104 is configured to perform behavior analysis and value analysis on a target user corresponding to the target service based on index information corresponding to the service data broad table, determine whether the target user meets a preset standard, and if yes, configure the preset service based on the target user.
In a possible implementation manner, the smart outage operation system 100 further includes:
a storage module 105, configured to store the internal data and the external data acquired by the data acquisition module 101;
the operation deployment module 106 is configured to deploy the smart outage operation system 100 based on the preset mirror structure and the preset deployment platform.
In this embodiment, the preset mirror structure may be: docker, podman, rkt and singulty.
Among other things, docker is an open-source containerized platform that allows developers to package applications and their dependencies into a single container for execution in different environments. Dock uses Linux container technology, through isolation and virtualization techniques, so that applications can run on different operating systems without worrying about environmental differences. Podman is a container runtime tool similar to Docker, which uses Linux container technology. Unlike Docker, the Podman does not need a daemon to run the container, but runs the container directly in user space. This makes the Podman more level and secure, as it does not require privileged access. rkt is another container runtime tool, and the design goal of rkt is to provide a simple, secure, and container runtime environment. Unlike Docker and Podman, rkt uses a different container format and runtime model, which places greater emphasis on security and reliability. Singulty is a container runtime tool that is specialized for scientific computing and high performance computing environments. The design goal of singulty is to provide a simple, repeatable and portable container environment that can run directly in user space without privileged access, rkt and singulty are both containerized platforms or container runtime tools that use Linux container technology, but differ in design goals, running models and features.
Fig. 2 is a flowchart of a smart outage operation method according to an embodiment of the present application. As shown in fig. 2, the intelligent shutdown operation method provided in the embodiment of the present application includes:
s201, responding to a target service request, acquiring internal data generated by a target service in an intelligent shutdown operation system and external data generated by a peripheral system based on a data acquisition module, and storing the internal data and the external data into a storage module;
in this embodiment, the internal data is internal service operation data generated by the target service in the intelligent shutdown operation system; the external data is external service data generated in a peripheral system in the execution process of the target service; the internal data can be acquired in a unified acquisition mode, and the external data can be acquired based on a unified data interface.
S202, integrating internal data and external data based on a service module, determining a service data wide table corresponding to a target service, and archiving the service data wide table based on index information corresponding to the service data wide table;
in this embodiment, the service data wide table is a multi-entry service data wide table that integrates different entries in the internal data and the external data, and combines the internal data and the external data; the corresponding index information in the service data wide table is used for identifying different types of data in the service data wide table, so that the service data wide table is classified and filed based on the index information, and data query, data calling and data analysis of the service data wide table are facilitated.
S203, carrying out data analysis on the business data broad table based on the business service module, determining a result data report for representing the data analysis result, and carrying out real-time analysis result display on the result data report based on the data display module.
In this embodiment, data analysis is performed on the service data wide table, and data analysis is performed on data analysis types with different root parts, so as to determine different result data reports corresponding to the service data wide table; meanwhile, the real-time visualization of the result data report can be realized based on front-end visualization tools, and the implementation business analysis result of the target business is displayed in real time in a webpage or client form.
The application provides an intelligent shutdown operation system and an intelligent shutdown operation method. The wisdom shut down operation system includes: the system comprises a data acquisition module, a business service module, a data display module, a recommendation module, a storage module and an operation deployment module; the intelligent shutdown operation method is realized based on an intelligent shutdown operation system, and comprises the following steps: responding to the target service request, collecting internal data generated by the target service in the intelligent shutdown operation system and external data generated by the peripheral system based on the data collecting module, and storing the internal data and the external data into the storage module; based on the service module integrating the internal data and the external data, determining a service data wide table corresponding to the target service, and archiving the service data wide table based on index information corresponding to the service data wide table; and carrying out data analysis on the business data broad table based on the business service module, determining a result data report for representing the data analysis result, and carrying out real-time analysis result display based on the result data report. The method comprises the steps that internal data and external data generated in the execution process of a target service are acquired through a data acquisition module, and are stored and integrated into a service data wide table; determining index information of service data corresponding to the target service based on the service data wide table, and realizing archiving of the service data wide table based on the index information; data analysis is carried out based on the business data wide table, and different result data reports corresponding to the target business are obtained; and the high-value user is determined based on the recommendation module and the index information and used for configuring preset business conforming to operation development. Compared with the prior art, the method and the device have the advantages that internal data generated by the target service in the system are obtained in a unified mode, and various external data are determined and obtained based on the target service; the service data volume is improved; meanwhile, data analysis is carried out based on a business data wide table corresponding to the target business, and a high-value user is determined while a plurality of result data reports are obtained, so that real-time visual data analysis is realized; therefore, the technical effect of improving the service analysis efficiency is achieved; the technical problem of low service analysis efficiency in the prior art is solved.
Fig. 3 is a second flowchart of the intelligent shutdown operation method provided in the embodiment of the present application, and fig. 4 is a third flowchart of the intelligent shutdown operation method provided in the embodiment of the present application. As shown in fig. 3 and fig. 4, the intelligent shutdown operation method provided in the embodiment of the present application includes:
s301, responding to a target service request, acquiring internal double-written data corresponding to the target service based on a data acquisition module and a preset acquisition mode, and determining the internal double-written data as internal data; determining a peripheral system corresponding to the intelligent shutdown operation system based on the target service, and collecting external data corresponding to the target service based on the peripheral system and a preset data interface; integrating the internal data and the external data and storing the internal data and the external data into a storage module corresponding to the intelligent shutdown operation system;
in this embodiment, in the first example, the preset collection manner may be a double write mode based on Kafka to collect internal data of the target service in the intelligent shutdown operation system. The peripheral data acquisition can be that a data interface is established with a peripheral system, and external data of a target service in the peripheral system is acquired through the data interface; obtaining peripheral data by connecting a peripheral database; and copying and determining the service data in the peripheral system as the external data of the target service through data information synchronization. The data acquisition comprises the following steps: the method comprises the steps of shutdown double-write acquisition, shutdown sending acquisition, payment removal acquisition, startup sending acquisition and user balance acquisition.
In this embodiment, the peripheral system may be: kafka, OGG, DTS, HBASE and auditing platform; the storage module may be: TIDB, MYSQL, and REDIS databases.
S302, integrating internal data and external data based on a service module, and determining a service data wide table corresponding to a target service;
s303, determining index information corresponding to the business data wide table based on the target business, and adding the index information to the business data wide table; determining data classification in the business data wide table based on the index information; based on data classification, labeling, archiving and storing the business data broad table;
in this embodiment, the index information corresponding to the service database wide table may be a signal control index, which is used to implement identification of service data corresponding to the service data wide table, and implement classified archiving of the service data wide table based on the hollow index, so as to implement labeled archiving storage of the service data wide table, and facilitate implementing data call and data query corresponding to the service database wide table based on the archived label information or index information.
S304, carrying out data analysis on the business data broad table based on the business service module, determining a result data report for representing the data analysis result, and carrying out real-time analysis result display on the result data report based on the business display module;
in this embodiment, in the second exemplary embodiment, the data analysis includes: intelligent delay analysis, intelligent credit analysis, low balance user analysis, re-machine behavior analysis, fusion shutdown analysis, government and enterprise public payment analysis, high ARUP shutdown analysis, high network age shutdown analysis, overall shutdown analysis, provincial shutdown analysis, trigger type analysis and product dimension analysis; wherein ARUP represents average revenue per month for the user; the result data report may be: a shutdown analysis report, an intelligent delay report, an intelligent credit report, an operation funnel, a user re-shutdown report and a user arrearage report; determining different analysis results through different analysis types, and realizing real-time display of the analysis results based on a visual mode; thereby realizing real-time dynamic business operation monitoring and analysis.
In this embodiment, the method for implementing real-time analysis result display of the result data report may be: and calling the visual image library to realize real-time display of the result data report, or outputting the result data report based on the front-end visual platform.
S305, based on the recommendation module and index information corresponding to the service data broad table, recommendation analysis is carried out on the service data broad table corresponding to the target service, the target user corresponding to the target service is analyzed, and whether the target user accords with the high-value user standard is determined; if yes, the target user is determined to be a high-value user.
In this embodiment, the high-value user is a user who can configure the delayed shutdown service.
The application provides an intelligent shutdown operation system and an intelligent shutdown operation method. The wisdom shut down operation system includes: the system comprises a data acquisition module, a business service module, a data display module, a recommendation module, a storage module and an operation deployment module; the intelligent shutdown operation method is realized based on an intelligent shutdown operation system, and comprises the following steps: responding to the target service request, collecting internal data generated by the target service in the intelligent shutdown operation system and external data generated by the peripheral system based on the data collecting module, and storing the internal data and the external data into the storage module; based on the service module integrating the internal data and the external data, determining a service data wide table corresponding to the target service, and archiving the service data wide table based on index information corresponding to the service data wide table; and carrying out data analysis on the business data broad table based on the business service module, determining a result data report for representing the data analysis result, and carrying out real-time analysis result display based on the result data report. The method comprises the steps of collecting internal double-write data of a target service through a data collecting module, determining the internal double-write data as internal data, and collecting external data of a corresponding peripheral system; and storing the internal data and the external data in the memory module; determining a business data wide table by calling internal data and external data in a storage module and integrating the data; classifying and archiving the business data broad-band table based on the index information of the business data broad-band table; meanwhile, data analysis is carried out based on the business data broad table, and different result data reports are determined according to different data analysis types; and the visual display of the result data report is realized based on the data display module, so that the real-time and dynamic target business data analysis and display are realized. Compared with the prior art, the method and the device acquire the internal data in a unified acquisition mode, and connect the peripheral system to acquire the external data, so that the data acquisition quantity corresponding to the target service in the operation process is improved, and the accuracy of data analysis is improved; meanwhile, data analysis is carried out based on a business data wide table corresponding to the target business, and a high-value user is determined while a plurality of result data reports are obtained, so that real-time visual data analysis is realized; therefore, the technical effect of improving the service analysis efficiency is achieved; the technical problem of low service analysis efficiency in the prior art is solved.
Fig. 5 is a hardware structure diagram of the intelligent shutdown operation device provided in the embodiment of the present application. As shown in fig. 5, the smart outage operation apparatus 500 includes:
a processor 501 and a memory 502;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in memory 502 to cause the intelligent shutdown operation apparatus to perform the intelligent shutdown operation method as described above.
It should be understood that the processor 501 may be a Central Processing Unit (CPU), a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution. The memory 502 may include a high-speed Random Access Memory (RAM) or a Non-volatile memory (NVM), such as at least one magnetic disk memory, and may also be a U-disk, a removable hard disk, a read-only memory, a magnetic disk, or an optical disk.
The embodiment of the application correspondingly provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and the computer execution instructions are used for realizing the intelligent shutdown operation method when being executed by a processor.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all alternative embodiments, and that the acts and modules referred to are not necessarily required in the present application.
It should be further noted that, although the steps in the flowchart are sequentially shown as indicated by arrows, the steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in the flowcharts may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order in which the sub-steps or stages are performed is not necessarily sequential, and may be performed in turn or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
It should be understood that the above-described device embodiments are merely illustrative, and that the device of the present application may be implemented in other ways. For example, the division of the units/modules in the above embodiments is merely a logic function division, and there may be another division manner in actual implementation. For example, multiple units, modules, or components may be combined, or may be integrated into another system, or some features may be omitted or not performed.
In addition, each functional unit/module in each embodiment of the present application may be integrated into one unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated together, unless otherwise specified. The integrated units/modules described above may be implemented either in hardware or in software program modules.
The integrated units/modules, if implemented in hardware, may be digital circuits, analog circuits, etc. Physical implementations of hardware structures include, but are not limited to, transistors, memristors, and the like. The processor may be any suitable hardware processor, such as CPU, GPU, FPGA, DSP and ASIC, etc., unless otherwise specified. Unless otherwise indicated, the storage elements may be any suitable magnetic or magneto-optical storage medium, such as resistive Random Access Memory RRAM (Resistive Random Access Memory), dynamic Random Access Memory DRAM (Dynamic Random Access Memory), static Random Access Memory SRAM (Static Random-Access Memory), enhanced dynamic Random Access Memory EDRAM (Enhanced Dynamic Random Access Memory), high-Bandwidth Memory HBM (High-Bandwidth Memory), hybrid Memory cube HMC (Hybrid Memory Cube), etc.
The integrated units/modules may be stored in a computer readable memory if implemented in the form of software program modules and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments. The technical features of the foregoing embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the foregoing embodiments are not described, however, all of the combinations of the technical features should be considered as being within the scope of the disclosure.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. An intelligent shutdown operation system, comprising:
the data acquisition module is used for responding to the target service request and acquiring internal data and external data corresponding to the target service request based on a preset acquisition mode;
the business service module integrates based on the internal data and the external data, determines a business data wide table, determines index information corresponding to the business data wide table, and files based on the index information; performing data analysis based on the business data wide table to determine a result data report;
and the data display module is used for displaying the real-time analysis result based on the result data report.
2. The system of claim 1, wherein the data presentation module is further configured to determine an analysis type of the result data report based on the result data report, determine a data presentation mode based on the analysis type, and perform the real-time analysis result presentation of the visualization based on the data presentation mode and the result data report.
3. The system of claim 2, wherein the intelligent shutdown operation system further comprises:
and the recommendation module is used for carrying out behavior analysis and value analysis on the target user corresponding to the target service based on the index information corresponding to the service data broad table, determining whether the target user meets a preset standard, and if yes, configuring the preset service based on the target user.
4. The system of claim 3, wherein the intelligent shutdown operation system further comprises:
the storage module is used for storing the internal data and the external data acquired by the data acquisition module;
and the operation deployment module is used for deploying the intelligent shutdown operation system based on a preset mirror image structure and a preset deployment platform.
5. A smart outage operation method, characterized by implementing a smart outage operation method based on the smart outage operation system according to any one of claims 1-4, comprising:
responding to a target service request, acquiring internal data generated by the target service in the intelligent shutdown operation system and external data generated by a peripheral system based on a data acquisition module, and storing the internal data and the external data into a storage module;
based on the service module integrating the internal data and the external data, determining a service data wide table corresponding to the target service, and archiving the service data wide table based on index information corresponding to the service data wide table;
and carrying out data analysis on the business data broad table based on the business service module, determining a result data report for representing a data analysis result, and carrying out real-time analysis result display on the result data report based on the data display module.
6. The method of claim 5, wherein the collecting internal data generated by the target service at the smart outage operating system and external data generated by the peripheral system based on the data collection module, and storing the internal data and the external data in the storage module, comprises:
acquiring internal double-written data corresponding to the target service based on the data acquisition module and a preset acquisition mode, and determining the internal double-written data as the internal data;
determining the peripheral system corresponding to the intelligent shutdown operation system based on the target service, and collecting the external data corresponding to the target service based on the peripheral system and a preset data interface;
and integrating the internal data and the external data, and storing the internal data and the external data into a storage module corresponding to the intelligent shutdown operation system.
7. The method of claim 6, wherein archiving the service data wide table based on the index information corresponding to the service data wide table comprises:
determining index information corresponding to the service data wide table based on the target service, and adding the index information to the service data wide table;
determining the data classification in the business data wide table based on the index information;
and labeling, archiving and storing the business data broad table based on the data classification.
8. The method of claim 7, further comprising, after the real-time analysis result presentation of the result data report based on the data presentation module,
based on a recommendation module and index information corresponding to the business data wide table, performing recommendation analysis on the business data wide table corresponding to the target business, analyzing a target user corresponding to the target business and determining whether the target user accords with a high-value user standard; if yes, the target user is determined to be the high-value user, wherein the high-value user is a user capable of configuring a delay shutdown service.
9. An intelligent shutdown operation device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the intelligent shutdown operation method as claimed in any one of claims 5 to 8.
10. A computer readable storage medium, wherein computer executable instructions are stored in the computer readable storage medium, which when executed by a processor is adapted to implement the intelligent shutdown operation method as claimed in any one of claims 5 to 8.
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