CN109656927B - Data table early warning method and device - Google Patents

Data table early warning method and device Download PDF

Info

Publication number
CN109656927B
CN109656927B CN201811583319.6A CN201811583319A CN109656927B CN 109656927 B CN109656927 B CN 109656927B CN 201811583319 A CN201811583319 A CN 201811583319A CN 109656927 B CN109656927 B CN 109656927B
Authority
CN
China
Prior art keywords
early warning
report
data
area
preset
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811583319.6A
Other languages
Chinese (zh)
Other versions
CN109656927A (en
Inventor
赖文文
王纯斌
赵神州
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Sefon Software Co Ltd
Original Assignee
Chengdu Sefon Software Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chengdu Sefon Software Co Ltd filed Critical Chengdu Sefon Software Co Ltd
Priority to CN201811583319.6A priority Critical patent/CN109656927B/en
Publication of CN109656927A publication Critical patent/CN109656927A/en
Application granted granted Critical
Publication of CN109656927B publication Critical patent/CN109656927B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Debugging And Monitoring (AREA)

Abstract

The embodiment of the application provides a data table early warning method and device, and the specific implementation principle is as follows: acquiring a data report to be monitored from each data source; determining each report form early warning area in the data report form to be monitored according to the preset early warning rule of each data source; and detecting each report form early warning area, and triggering an early warning action corresponding to an early warning condition when any report form early warning area is detected to meet the early warning condition corresponding to the report form early warning area in a preset early warning rule. Therefore, the data reports under the same data source can be monitored in a unified mode, an early warning scheme does not need to be configured for each data report independently, individual early warning is conducted on each report early warning area in each data report in a targeted mode, flexibility and usability of early warning rules are improved, and complex and diverse early warning requirements are met.

Description

Data table early warning method and device
Technical Field
The application relates to the technical field of computers, in particular to a data table early warning method and device.
Background
The current data table early warning scheme is mainly to designate a data report to be monitored in advance, analyze each part of data of the data report and give an alarm. However, by adopting the existing early warning scheme, each data report needs to be provided with one set of early warning scheme, which cannot meet the complex and diversified early warning requirements.
Disclosure of Invention
In order to overcome the above defects in the prior art, the present application aims to provide a data table early warning method and apparatus to solve or improve the above problems.
In order to achieve the above purpose, the embodiments of the present application employ the following technical solutions:
in a first aspect, an embodiment of the present application provides a data table early warning method, which is applied to a server, and the method includes:
acquiring a data report to be monitored from each data source;
determining each report form early warning area in the data report form to be monitored according to a preset early warning rule of each data source;
and detecting each report form early warning area, and triggering an early warning action corresponding to an early warning condition when any report form early warning area is detected to meet the early warning condition corresponding to the report form early warning area in the preset early warning rule.
In one possible embodiment, the method further comprises:
and configuring a preset early warning rule of each data source.
In a possible embodiment, the step of configuring the preset warning rule of each data source includes:
configuring each report form early warning area of a data report form generated by each data source aiming at each data source;
aiming at each report form early warning area, configuring the early warning condition of the report form early warning area and a corresponding early warning action library;
and generating a preset early warning rule of the data source according to the configured early warning areas of the reports, the early warning conditions of the early warning areas of the reports and the corresponding early warning action library.
In a possible implementation manner, the step of detecting each report early warning area and triggering an early warning action corresponding to an early warning condition when it is detected that any one report early warning area satisfies the early warning condition corresponding to the report early warning area in the preset early warning rule includes:
judging whether report data under each data item in the report early warning area meets the early warning condition corresponding to the report early warning area or not aiming at each report early warning area;
and if the report data under any data item in the report early warning area meets the early warning condition corresponding to the report early warning area, triggering an early warning action corresponding to the early warning condition according to the report data under the data item.
In a possible implementation manner, the step of determining whether the report data under each data item in the report early warning area satisfies the early warning condition corresponding to the report early warning area includes:
judging whether the report data under each data item is larger than a first preset threshold or smaller than a second preset threshold;
and if the report data under the data item is larger than a first preset threshold value or smaller than a second preset threshold value, judging that the report data under the data item does not meet the early warning condition corresponding to the report early warning area.
In a possible implementation manner, the step of triggering the early warning action corresponding to the early warning condition according to the report data in the data item includes:
calculating a difference value between the report data under the data item and the first preset threshold value or the second preset threshold value;
acquiring a target early warning action of a difference range in which the difference is located from an early warning action library corresponding to the early warning condition, and triggering the target early warning action; and the early warning action library comprises early warning actions corresponding to the difference ranges.
In a second aspect, an embodiment of the present application further provides a data table early warning apparatus, which is applied to a server, and the apparatus includes:
the acquisition module is used for acquiring a data report to be monitored from each data source;
the determining module is used for determining each report form early warning area in the data report form to be monitored according to the preset early warning rule of each data source;
and the early warning triggering module is used for detecting each report early warning area and triggering an early warning action corresponding to the early warning condition when any report early warning area is detected to meet the early warning condition corresponding to the report early warning area in the preset early warning rule.
In a third aspect, an embodiment of the present application further provides a readable storage medium, on which a computer program is stored, where the computer program, when executed, implements the above-mentioned data table early warning method.
Compared with the prior art, the method has the following beneficial effects:
the embodiment of the application provides a data table early warning method and device, and the specific implementation principle is as follows: acquiring a data report to be monitored from each data source; determining each report form early warning area in the data report form to be monitored according to the preset early warning rule of each data source; and detecting each report form early warning area, and triggering an early warning action corresponding to an early warning condition when any report form early warning area is detected to meet the early warning condition corresponding to the report form early warning area in a preset early warning rule. Therefore, the data reports under the same data source can be monitored in a unified mode, an early warning scheme does not need to be configured for each data report independently, individual early warning is conducted on each report early warning area in each data report in a targeted mode, flexibility and usability of early warning rules are improved, and complex and diverse early warning requirements are met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and it will be apparent to those skilled in the art that other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flow chart of a data table early warning method provided in an embodiment of the present application;
FIG. 2 is a functional block diagram of a spreadsheet warning device according to an embodiment of the present application;
FIG. 3 is a block diagram of another embodiment of a spreadsheet forewarning device;
fig. 4 is a block diagram schematically illustrating a structure of a server for implementing the data table early warning method according to the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Please refer to fig. 1, which is a schematic flow chart of a data table pre-warning method according to an embodiment of the present application, and it should be noted that the data table pre-warning method according to the embodiment of the present application is not limited by the specific sequence shown in fig. 1 and described below. The method comprises the following specific processes:
step S210, obtaining a data report to be monitored from each data source.
In this embodiment, the data source may refer to a database or a database server used by various data reports, where the data sources store all information for establishing database connections, and by providing a correct data source name, each data source may be accessed and required information may be obtained from each data source, for example, a data report to be monitored in each data source may be obtained.
Step S220, determining each report form early warning area in the data report form to be monitored according to the preset early warning rule of each data source.
Generally speaking, for each data report under one data source, the type, content, and the like of the report are in the same service scenario, so the preset early warning rule of each data source may be configured in advance in this embodiment. For example, each report form early warning area of a data report form generated by each data source may be configured for each data source, and then, for each report form early warning area, the early warning condition of the report form early warning area and the corresponding early warning action library may be configured. And finally, generating a preset early warning rule of the data source according to the configured early warning areas of the reports, the early warning conditions of the early warning areas of the reports and the corresponding early warning action library.
The report alarm area can include at least one data item and data information under the calcitonin office item.
Therefore, on the basis, each report form early warning area in the data report form to be monitored can be determined according to the preset early warning rule of each data source.
Step S230, detecting each report form early warning area, and triggering an early warning action corresponding to an early warning condition when detecting that any one report form early warning area satisfies the early warning condition corresponding to the report form early warning area in the preset early warning rule.
In a possible implementation manner, in this embodiment, it may be determined, for each report early warning area, whether report data under each data item in the report early warning area satisfies an early warning condition corresponding to the report early warning area, and if it is determined that the report data under any data item in the report early warning area satisfies the early warning condition corresponding to the report early warning area, an early warning action corresponding to the early warning condition is triggered according to the report data under the data item.
In detail, it can be determined whether the report data under each data item is greater than a first preset threshold, or is less than a second preset threshold. And if the report data under the data item is larger than a first preset threshold value or smaller than a second preset threshold value, judging that the report data under the data item does not meet the early warning condition corresponding to the report early warning area. For example, if the report data in the data item a is greater than the first preset threshold X1 or less than the second preset threshold X2, it is determined that the report data in the data item a does not satisfy the warning condition corresponding to the report warning area.
Then, when it is determined that the report data under any data item in the report early warning area meets the early warning condition corresponding to the report early warning area, calculating a difference between the report data under the data item and the first preset threshold or the second preset threshold, then obtaining a target early warning action in a difference range where the difference is located from an early warning action library corresponding to the early warning condition, and triggering the target early warning action; and the early warning action library comprises early warning actions corresponding to the difference ranges.
For example, the early warning action library may include early warning actions corresponding to a difference range a, a difference range B, and a difference range C, where the early warning action corresponding to the difference range a is a message early warning, the early warning action corresponding to the difference range B is a message early warning and a voice early warning, and the early warning action corresponding to the difference range C is a message early warning, a voice early warning, and a light early warning. Calculating a difference value Δ X between the report data in the data item and the first preset threshold value X1 or the second preset threshold value X2, and determining that Δ X is located in a difference range a, a difference range B, or a difference range C. And if the delta X is positioned in the difference range A, triggering message early warning, if the delta X is positioned in the difference range B, triggering message early warning and voice early warning, and if the delta X is positioned in the difference range C, triggering message early warning, voice early warning and light early warning. Therefore, the early warning actions of different degrees can be executed according to the difference range of the difference.
Therefore, the embodiment can monitor the data reports in a unified manner under the same data source, an early warning scheme does not need to be configured for each data report independently, and the early warning is performed on each report early warning area in each data report in a targeted manner, so that the flexibility and the usability of the early warning rule are improved, and the complex and various early warning requirements are met.
Further, referring to fig. 2, an embodiment of the present application further provides a data table early warning apparatus 200, where the data table early warning apparatus 200 may include:
an obtaining module 210, configured to obtain a data report to be monitored from each data source;
the determining module 220 is configured to determine each report early warning area in the data report to be monitored according to a preset early warning rule of each data source;
and the early warning triggering module 230 is configured to detect each report early warning area, and trigger an early warning action corresponding to an early warning condition when any report early warning area is detected to meet the early warning condition corresponding to the report early warning area in the preset early warning rule.
In a possible implementation manner, further referring to fig. 3, the apparatus may further include:
a configuration module 209, configured to configure the preset early warning rule of each data source.
In a possible embodiment, the configuration module 209 configures the preset warning rule of each data source specifically by:
configuring each report form early warning area of a data report form generated by each data source aiming at each data source;
aiming at each report form early warning area, configuring the early warning condition of the report form early warning area and a corresponding early warning action library;
and generating a preset early warning rule of the data source according to the configured early warning areas of the reports, the early warning conditions of the early warning areas of the reports and the corresponding early warning action library.
In a possible implementation manner, the early warning triggering module 230 may specifically trigger an early warning action corresponding to the early warning condition by:
judging whether report data under each data item in the report early warning area meets the early warning condition corresponding to the report early warning area or not aiming at each report early warning area;
and if the report data under any data item in the report early warning area meets the early warning condition corresponding to the report early warning area, triggering an early warning action corresponding to the early warning condition according to the report data under the data item.
It can be understood that, for the specific operation method of each functional module in this embodiment, reference may be made to the detailed description of the corresponding step in the foregoing method embodiment, and no repeated description is provided herein.
Further, please refer to fig. 4, which is a block diagram illustrating a structure of a server 100 for the data table pre-warning method according to the embodiment of the present application. In this embodiment, the server 100 may be implemented by a bus 110 as a general bus architecture. The bus 110 may include any number of interconnecting buses and bridges depending on the specific application of the server 100 and the overall design constraints. Bus 110 connects various circuits together, including processor 120, storage medium 130, and bus interface 140. Alternatively, the server 100 may connect a network adapter 150 or the like via the bus 110 using the bus interface 140. The network adapter 150 may be used to implement signal processing functions of a physical layer in the server 100 and implement transmission and reception of radio frequency signals through an antenna. The user interface 160 may connect external devices such as: a keyboard, a display, a mouse or a joystick, etc. The bus 110 may also connect various other circuits such as timing sources, peripherals, voltage regulators, or power management circuits, which are well known in the art, and therefore, will not be described in detail.
Alternatively, the server 100 may be configured as a general purpose processing system, such as what is commonly referred to as a chip, including: one or more microprocessors providing processing functions, and an external memory providing at least a portion of storage medium 130, all connected together with other support circuits through an external bus architecture.
Alternatively, the server 100 may be implemented using: an ASIC (application specific integrated circuit) having a processor 120, a bus interface 140, a user interface 160; and at least a portion of the storage medium 130 integrated in a single chip, or the server 100 may be implemented using: one or more FPGAs (field programmable gate arrays), PLDs (programmable logic devices), controllers, state machines, gate logic, discrete hardware components, any other suitable circuitry, or any combination of circuitry capable of performing the various functions described throughout this application.
Among other things, processor 120 is responsible for managing bus 110 and general processing (including the execution of software stored on storage medium 130). Processor 120 may be implemented using one or more general-purpose processors and/or special-purpose processors. Examples of processor 120 include microprocessors, microcontrollers, DSP processors, and other circuits capable of executing software. Software should be construed broadly to mean instructions, data, or any combination thereof, whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise.
Storage medium 130 is shown separate from processor 120 in fig. 4, however, one skilled in the art will readily appreciate that storage medium 130, or any portion thereof, may be located outside server 100. Storage medium 130 may include, for example, a transmission line, a carrier waveform modulated with data, and/or a computer product separate from the wireless node, which may be accessed by processor 120 via bus interface 140. Alternatively, the storage medium 130, or any portion thereof, may be integrated into the processor 120, e.g., may be a cache and/or general purpose registers.
The processor 120 may execute the above embodiments, specifically, the storage medium 130 may store the data table early warning apparatus 200 therein, and the processor 120 may be configured to execute the data table early warning apparatus 200.
Further, an embodiment of the present application further provides a non-volatile computer storage medium, where the computer storage medium stores computer-executable instructions, and the computer-executable instructions may execute the data table early warning method in any of the above method embodiments.
To sum up, the embodiment of the present application provides a data table early warning method and apparatus, and the specific implementation principle is as follows: acquiring a data report to be monitored from each data source; determining each report form early warning area in the data report form to be monitored according to the preset early warning rule of each data source; and detecting each report form early warning area, and triggering an early warning action corresponding to an early warning condition when any report form early warning area is detected to meet the early warning condition corresponding to the report form early warning area in a preset early warning rule. Therefore, the data reports under the same data source can be monitored in a unified mode, an early warning scheme does not need to be configured for each data report independently, individual early warning is conducted on each report early warning area in each data report in a targeted mode, flexibility and usability of early warning rules are improved, and complex and diverse early warning requirements are met.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as an electronic device, server, data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (6)

1. A data table early warning method is applied to a server and comprises the following steps:
configuring a preset early warning rule of each data source;
acquiring a data report to be monitored from each data source;
determining each report form early warning area in the data report form to be monitored according to the preset early warning rule of each data source;
detecting each report form early warning area, and triggering an early warning action corresponding to an early warning condition when any report form early warning area is detected to meet the early warning condition corresponding to the report form early warning area in the preset early warning rule;
the step of configuring the preset early warning rule of each data source comprises the following steps:
configuring each report form early warning area of a data report form generated by each data source aiming at each data source;
aiming at each report form early warning area, configuring the early warning condition of the report form early warning area and a corresponding early warning action library;
and generating a preset early warning rule of the data source according to the configured early warning areas of the reports, the early warning conditions of the early warning areas of the reports and the corresponding early warning action library.
2. The data sheet early warning method according to claim 1, wherein the step of detecting each report early warning area and triggering an early warning action corresponding to an early warning condition when any one report early warning area is detected to satisfy the early warning condition corresponding to the report early warning area in the preset early warning rule comprises the steps of:
judging whether report data under each data item in the report early warning area meets the early warning condition corresponding to the report early warning area or not aiming at each report early warning area;
and if the report data under any data item in the report early warning area meets the early warning condition corresponding to the report early warning area, triggering an early warning action corresponding to the early warning condition according to the report data under the data item.
3. The data table early warning method according to claim 2, wherein the step of judging whether the report data under each data item in the report early warning area meets the early warning condition corresponding to the report early warning area comprises:
judging whether the report data under each data item is larger than a first preset threshold or smaller than a second preset threshold;
and if the report data under the data item is larger than a first preset threshold value or smaller than a second preset threshold value, judging that the report data under the data item does not meet the early warning condition corresponding to the report early warning area.
4. The data sheet early warning method according to claim 3, wherein the step of triggering the early warning action corresponding to the early warning condition according to the report data under the data item comprises:
calculating a difference value between the report data under the data item and the first preset threshold value or the second preset threshold value;
acquiring a target early warning action of a difference range in which the difference is located from an early warning action library corresponding to the early warning condition, and triggering the target early warning action; and the early warning action library comprises early warning actions corresponding to the difference ranges.
5. A data table early warning device is characterized in that the device is applied to a server and comprises:
the configuration module is used for configuring a preset early warning rule of each data source;
the acquisition module is used for acquiring a data report to be monitored from each data source;
the determining module is used for determining each report form early warning area in the data report form to be monitored according to the preset early warning rule of each data source;
the early warning triggering module is used for detecting each report early warning area and triggering an early warning action corresponding to the early warning condition when any report early warning area is detected to meet the early warning condition corresponding to the report early warning area in the preset early warning rule;
the configuration module configures the preset early warning rule of each data source specifically by the following method:
configuring each report form early warning area of a data report form generated by each data source aiming at each data source;
aiming at each report form early warning area, configuring the early warning condition of the report form early warning area and a corresponding early warning action library;
and generating a preset early warning rule of the data source according to the configured early warning areas of the reports, the early warning conditions of the early warning areas of the reports and the corresponding early warning action library.
6. The spreadsheet forewarning device of claim 5, wherein the forewarning triggering module triggers the forewarning action corresponding to the forewarning condition by:
judging whether report data under each data item in the report early warning area meets the early warning condition corresponding to the report early warning area or not aiming at each report early warning area;
and if the report data under any data item in the report early warning area meets the early warning condition corresponding to the report early warning area, triggering an early warning action corresponding to the early warning condition according to the report data under the data item.
CN201811583319.6A 2018-12-24 2018-12-24 Data table early warning method and device Active CN109656927B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811583319.6A CN109656927B (en) 2018-12-24 2018-12-24 Data table early warning method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811583319.6A CN109656927B (en) 2018-12-24 2018-12-24 Data table early warning method and device

Publications (2)

Publication Number Publication Date
CN109656927A CN109656927A (en) 2019-04-19
CN109656927B true CN109656927B (en) 2021-06-18

Family

ID=66115065

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811583319.6A Active CN109656927B (en) 2018-12-24 2018-12-24 Data table early warning method and device

Country Status (1)

Country Link
CN (1) CN109656927B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111090635B (en) * 2019-11-29 2023-11-07 北京明略软件系统有限公司 Configuration method and device of early warning scheme and computer readable storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103679353A (en) * 2013-12-02 2014-03-26 北京华胜天成科技股份有限公司 Report processing method and system
CN105184477A (en) * 2015-08-31 2015-12-23 武汉博楷管理咨询有限公司 Finance business data monitoring and management system
CN105761010A (en) * 2016-02-24 2016-07-13 国网山东省电力公司 Method and system for real-time monitoring of group enterprise audit based on real-time data acquisition
CN108959034A (en) * 2018-07-05 2018-12-07 北京木瓜移动科技股份有限公司 A kind of monitoring alarm method, device, electronic equipment and storage medium

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103679353A (en) * 2013-12-02 2014-03-26 北京华胜天成科技股份有限公司 Report processing method and system
CN105184477A (en) * 2015-08-31 2015-12-23 武汉博楷管理咨询有限公司 Finance business data monitoring and management system
CN105761010A (en) * 2016-02-24 2016-07-13 国网山东省电力公司 Method and system for real-time monitoring of group enterprise audit based on real-time data acquisition
CN108959034A (en) * 2018-07-05 2018-12-07 北京木瓜移动科技股份有限公司 A kind of monitoring alarm method, device, electronic equipment and storage medium

Also Published As

Publication number Publication date
CN109656927A (en) 2019-04-19

Similar Documents

Publication Publication Date Title
CN110574338B (en) Root cause discovery method and system
US11061791B2 (en) Providing insight of continuous delivery pipeline using machine learning
CN107247601B (en) Development process optimization method, device and storage medium
CN110765422A (en) Parameter checking method and device
US10191986B2 (en) Web resource compatibility with web applications
US10241847B2 (en) Anomaly detection using sequences of system calls
US11593478B2 (en) Malware collusion detection
US9116808B2 (en) Method and system for determining device configuration settings
CN109614088B (en) Form component generation method and device
CN111026572A (en) Fault processing method and device of distributed system and electronic equipment
CN109656927B (en) Data table early warning method and device
CN113377626A (en) Visual unified alarm method, device, equipment and medium based on service tree
US11036718B2 (en) Linking entities in dynamic graphs
US10713328B2 (en) Automated tagging application for maintaining up-to-date web analytics
CN112817562A (en) Service processing method and device
CN113760503A (en) Task migration method and device, electronic equipment and computer readable medium
US9584394B2 (en) Notifying original state listeners of events in a domain model
CN114995719B (en) List rendering method, device, equipment and storage medium
CN111143408A (en) Event processing method and device based on business rules
CN110113712B (en) Positioning processing method and device
CN109670114B (en) Drawing rule recommendation method and device
CN110740074B (en) Network address detection method and device and electronic equipment
CN106385704A (en) Group message management method and terminal
CN112948341A (en) Method and apparatus for identifying abnormal network device logs
EP4214605A1 (en) Providing application error data for use by third-party library development systems

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant