CN115994100B - System activity detection method and device, electronic equipment and readable storage medium - Google Patents
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Abstract
The application discloses a system activity detection method, a device, electronic equipment and a readable storage medium, wherein the system activity detection method comprises the following steps: pulling online inspection data of the target detection system at a data pulling time point; processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data; determining the inspection score of the target detection system under at least one corresponding system inspection rule according to the inspection basic data; and obtaining the system activity of the target detection system by fusing the patrol score values. The method and the device solve the technical problem that the system service condition of the software system cannot be accurately evaluated.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a system activity detection method, a system activity detection device, an electronic device, and a readable storage medium.
Background
With the continuous development of computer technology, software information systems represented by ERP (Enterprise Resource Planning ) systems are widely used in various industries, and at the same time, it is important for many participants, such as software system manufacturers, operation and maintenance engineers, service objects, etc., to maintain the normal operation of the software information systems, and to grasp the application situation of the software systems.
In the process of using the software system by the service object, the application conditions of the software information systems in different use periods are different, and in general, the participants can evaluate the system use condition of the software information system through respective evaluation means, however, because the data volume of the software information system to be faced by the participants is very huge and certain difference exists between the evaluation standards, the system use condition of the software system needs to take a long time, and further the situation that the evaluation of the system use condition of each participant is not uniform is easily caused, so the system use condition of the software system cannot be accurately evaluated currently.
Disclosure of Invention
The main purpose of the application is to provide a system activity detection method, a device, an electronic device and a readable storage medium, which aim to solve the technical problem that the system use condition of a software system cannot be accurately evaluated in the prior art.
In order to achieve the above object, the present application provides a system activity detection method, which includes:
pulling online inspection data of the target detection system at a data pulling time point;
processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data;
Determining the inspection score of the target detection system under at least one corresponding system inspection rule according to the inspection basic data;
and obtaining the system activity of the target detection system by fusing the patrol score values.
In order to achieve the above object, the present application further provides a system activity detection device, including:
the pulling module is used for pulling on-line inspection data of the target detection system at a data pulling time point;
the processing module is used for processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data;
the determining module is used for determining the inspection score of the target detection system under at least one corresponding system inspection rule according to the inspection basic data;
and the fusion module is used for obtaining the system activity of the target detection system by fusing the patrol scores.
The application also provides an electronic device comprising: the system activity detection method comprises a memory, a processor and a program of the system activity detection method, wherein the program of the system activity detection method is stored in the memory and can be run on the processor, and the program of the system activity detection method can realize the steps of the system activity detection method when being executed by the processor.
The present application also provides a computer-readable storage medium having stored thereon a program for implementing a system activity detection method, which when executed by a processor implements the steps of the system activity detection method as described above.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of a system activity detection method as described above.
The application provides a system activity detection method, a system activity detection device, electronic equipment and a readable storage medium, namely, pulling on-line inspection data of a target detection system at a data pulling time point; processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data; determining the inspection score of the target detection system under at least one corresponding system inspection rule according to the inspection basic data; and obtaining the system activity of the target detection system by fusing the patrol score values. The system activity of the target detection system is obtained by fusing the inspection scores of the target detection system under the corresponding system inspection rules, and the inspection scores are determined by inspection basic data of the target detection system, namely, the system activity can truly feed back the system service condition of the target detection system, and the purpose of accurately evaluating the system service condition of the software system by taking the system activity as a unified quantitative index can be realized. And when each participant needs to evaluate the system use condition of the software system, visual feedback can be performed through the system activity. Rather than each participant relying on its own established criteria to evaluate the system usage of the software information system. Therefore, the technical defects that the system use condition of the software system needs to take a long time due to huge data volume of the software information system to be faced by the participants and certain difference exists between the participants in the evaluation standard, and the condition that the evaluation of the system use condition of each participant is not uniform is easily caused are overcome. Therefore, a quantitative evaluation means is provided for accurately evaluating the system use condition of the software system.
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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.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a flow chart of a system activity detection method according to an embodiment of the present application;
fig. 2 is a partial schematic diagram of a system inspection rule configuration of a system activity detection method according to a second embodiment of the present application;
fig. 3 is a flow chart of a system activity detection method according to a second embodiment of the present application;
fig. 4 is a schematic structural diagram of a system activity detection device according to a third embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.
The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings in conjunction with the embodiments.
Detailed Description
In order to make the above objects, features and advantages of the present invention more comprehensible, the following description of the embodiments accompanied with the accompanying drawings will be given in detail. 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.
In the first embodiment of the present application, IT should be understood that, with development of computer technology, IT is increasingly important for each party of a software system to promote the evaluation capability of the system usage situation of the software information system, for example, for first-line staff directly facing a service object, IT is required to actively identify which functions of which systems have a risk of losing the service object, and to explore which functions of which systems have an excavation prospect, and for staff of the IT (Information Technology ) department of the service object, IT is required to perform reasonable allocation of resources, and put more resources into a system that is practically supporting the service and is widely accepted. However, for a line engineer of a service delivery line, everyone is responsible for the service operation of thousands of systems of tens or hundreds of customers, and the functions and services of each system are different; for the client IT party, the difficulty of researching each service of each function of each system is extremely high, and obviously, different parties have corresponding evaluation criteria for the system use condition of the software information system, meanwhile, when evaluating the system use condition of the software system, besides the time consumption is long, the situation that the evaluation of the system use condition by each party is not uniform is easily caused, that is, each party lacks quantitative and standardized evaluation means, so that a method capable of accurately evaluating the system use condition of the software system is needed.
In a first embodiment of a system activity detection method of the present application, referring to fig. 1, the system activity detection method includes:
step S10, pulling on-line inspection data of a target detection system at a data pulling time point;
step S20, processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data;
step S30, determining the inspection scores of the target detection system under at least one corresponding system inspection rule according to the inspection basic data;
and S40, obtaining the system activity of the target detection system by fusing the patrol scores.
In this embodiment, it should be noted that, the target detection system is used to characterize a subsystem waiting for system activity detection in the software information system, where the software information system may be an ERP (Enterprise Resource Planning, enterprise manufacturing resource computing) system or CRM (Customer Relationship Management ) system, and the target detection system may be a sales management system, a cost management system, a coordinated office system, a knowledge management system, and a project plan management system, where system versions of the software information systems in different time periods are different, and when the system activity is detected, the system version may be v1.0, v1.03, or ERP252, and the system activity detection method is applied to an intelligent device, the intelligent device may be a computer, a personal PC, a server, and the like, the data pulling time point is used to characterize a start time point of the system activity of the target detection system, the offline inspection data is used to characterize system inspection data acquired in the system activity detection process, the offline inspection data is used to acquire system inspection data in the system activity detection process, for example, when the offline inspection data is acquired in the system inspection rule is 2 a day 2, and when the system inspection rule is 2 is determined to be the system inspection rule is 2, and when the system activity data is acquired in the system inspection rule is 2 month 2, for example, in one implementation manner, three dimensions may be set up from the user activity situation, the service function application and the management value, and a low, medium and high three-level system inspection rule may be set up for each index, and each level system inspection rule of each index corresponds to an inspection statement, a rule name, a description, a rule level, and the like, where the inspection statement may be specifically an SQL statement, the description may be specifically "the active user of the last 3 months takes up more than 30% (low-level rule)," the active user of the last 3 months takes up more than 50% "(medium-level rule), or" the active user of the last 3 months takes up more than 80% "(high-level rule), and the rule name is formed by combining the description and the rule level.
Additionally, it should be noted that, the system inspection rules of different target detection systems are different, each system inspection rule is provided with a corresponding inspection score, different system inspection rules can be combined into a system inspection total rule of the target detection system, the inspection score formed by combining the system inspection rules is 100, before the activity detection is performed on the target detection system, a plurality of system inspection rules can be written by a worker, then the corresponding system inspection total rules are set for the target detection system at a rule management interface, referring to fig. 2, a partial schematic diagram of system inspection rule configuration is shown in fig. 2, wherein a subsystem type selection item, a subsystem version selection item, an inspection level selection item and a system inspection rule configuration item are set at a rule configuration interaction button of 'new increment', 'lead-in' and 'synchronous', and the like, the system inspection total rule can be configured by combining the rule configuration interaction button, and the target detection system inspection system can be sent to the corresponding target detection system inspection rule configuration by clicking the 'synchronous' rule configuration interaction button, so that the target detection system can be inspected by the corresponding target inspection system inspection rule configuration.
Additionally, it should be noted that, the inspection score may be set according to the influence degree of the index on the system activity condition, for example, in an implementation manner, assuming that the total system inspection rule of the target detection system is 100 points, the "1 or more low-level system inspection rules of the dimension index of" budgeting "may be set to 3 points, and the system activity level may be used to characterize the activity level of the system, specifically, 80 points, 90 points, 95 points, etc., where when the system activity levels of multiple target detection systems of a certain software information system are obtained, real-time sorting may be performed according to the system activity levels, or the system activity levels may be converted into system score rates, and real-time display is performed on the management interface of the software information system, so that the service object may timely learn the system use condition of the target detection system.
As an example, steps S10 to S40 include: pulling on-line inspection data of the target detection system at a data pulling time point through a big data platform, wherein the big data platform can be a preset data warehouse, and pulling of the inspection data of the target detection system can be realized through adding corresponding SQL nodes on the big data platform, wherein different inspection data can exist in different data tables of different databases of the target detection system; combining the online inspection data and the offline inspection data of the target detection system into inspection basic data, wherein the offline inspection data can be pulled and stored in a preset database of the intelligent device through a large data platform before the system activity is detected; inquiring at least one corresponding system inspection rule in a preset inspection mapping table by taking each piece of inspection basic data as an index, and converting each system inspection rule into a corresponding inspection score, wherein the preset inspection mapping table stores the mapping relation between the system inspection rule and the inspection basic data; and obtaining the system activity of the target detection system by accumulating the patrol scores.
The step of processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data comprises the following steps:
step A10, yesterday inspection data of the target detection system are obtained;
step A20, inserting the yesterday inspection data into a preset historical data table to obtain a target historical data table, wherein the preset historical data table comprises historical inspection data of the target detection system;
step A30, obtaining offline inspection data of the target detection system by reading the target historical data table;
and step A40, merging the online inspection data and the offline inspection data into the inspection basic data.
In this embodiment, it should be noted that, because the data volume of the offline inspection data is very huge, so that it is difficult for the mainstream big data platform to support such large data volume, for example, 30 ten thousand pieces of inspection data are generated by a certain target detection system every day, and the history period of the offline inspection data is usually about 2 years, in order to reduce the pulling amount of the offline inspection data when the target detection system is actively detected, a history data table is preset, where the preset history data table is used to characterize a preset data table for storing the offline inspection data, through which the history inspection data of a specific period can be pulled when the offline inspection data is pulled, for example, in one practical manner, the SQL node of "obtain application inspection result" may be added to the big data platform, writing specific data processing logic in the SQL node, generating historical data tables of all target detection systems, further when offline inspection data are processed, firstly pulling and synchronizing the historical inspection data into corresponding preset historical data tables, and further obtaining full offline inspection data only by incrementally synchronizing yesterday inspection data into the preset historical data tables when processing, wherein the incrementally synchronizing yesterday inspection data can be realized by adding corresponding development nodes on a large data platform in a manner of pulling yesterday data, the historical inspection data are used for representing yesterday-before-system inspection data, the yesterday inspection data are used for representing yesterday-before-system inspection data, for the target detection systems, only once-per-day system inspection is executed, and the inspection time point can be a default time point automatically issued when a system inspection rule is configured, the system inspection data may be all inspection data related to application of inspection rules, classification, system, inspection results, and the like.
As an example, steps a10 to a40 include: pulling yesterday inspection data generated by a target detection system at yesterday inspection time points through a big data platform; inserting the yesterday inspection data into a preset historical data table to obtain a target historical data table, wherein the preset historical data table comprises historical inspection data of the target detection system; reading offline inspection data of the target detection system from the target historical data table; and merging the online inspection data and the offline inspection data into the inspection basic data.
The step of pulling the online inspection data of the target detection system at the data pulling time point comprises the following steps:
step B10, collecting the current day inspection data inspected by the target detection system at a data acquisition time point;
and step B20, pulling the updated data of the current day inspection at the data pulling time point to obtain the online inspection data, wherein the data pulling time point is later than the data acquisition time point.
In this embodiment, it should be noted that, for online inspection data, if a real-time process is adopted, a lot of resources are generally required to be consumed, and inspection is not performed in real time, so that the inspection data can be obtained by setting a development node, i.e. a preset temporary inspection data table, on a large data platform, so as to obtain the current day inspection data in a corresponding data collection period, where the data collection period is used to characterize a time point when the preset temporary inspection data table receives the inspection data, for example, in an implementation manner, assuming that the receiving time is 4 points, then the system inspection data before 4 points are collected on the large data platform, only the data after 4 points need to be obtained in order to obtain the current day inspection data, therefore, for a target inspection system that performs inspection after 4 points, once inspection is applied, the inspection data is immediately pushed to a database of the large data platform, and therefore, resource waste and time waste caused by re-collection of the data amount data can be avoided.
Additionally, it should be noted that, the data collection time point is used for collecting the current day of inspection data that the target detection system inspects, and the updated current day of inspection data that is pulled is the inspection data that is updated on the basis of the inspection data in the preset temporary inspection data table, for example, in one implementation manner, assuming that the data collection time point is 4-point whole, the time point that the target detection system pulls the current day of inspection data is 3-point whole, the data pulling time point is 5-point whole, and then the current day of inspection data that is 2-point whole that is combined by the online inspection data that is obtained by 5-point whole and the system inspection data of the preset temporary inspection data table.
As an example, steps B10 to B20 include: collecting the current day inspection data inspected by the target detection system at a data acquisition time point; acquiring system inspection data of a preset temporary inspection data table, and combining and updating the current day inspection data and the system inspection data to obtain updated current day inspection data; and pulling the updated data of the current day inspection at the data pulling time point to obtain the online inspection data, wherein the data pulling time point is later than the data acquisition time point.
The step of pulling the updated current day patrol data at the data pulling time point comprises the following steps:
step C10, detecting whether the data acquisition time point is later than the system inspection time point of the target detection system;
step C20, if yes, taking the current day inspection data as the online inspection data;
step C30, if not, updating a preset temporary inspection data table according to the data acquisition frequency of the current day inspection data to obtain at least one target temporary data table, wherein the preset temporary inspection data table is used for storing the current day inspection data;
and C40, merging the current day inspection data of each target temporary inspection data table at the data pulling time point to obtain the online inspection data.
In this embodiment, it should be noted that, a development flow of "acquisition & development-two inspection non-quasi-real-time data" is added to the big data platform, and the scope of the flow processing is as follows: the target detection system in the temporary inspection data table is preset daily and the target detection system performs inspection before the data acquisition time point every day, for the target detection system performing inspection before the data acquisition time point, the data of the target detection system only need to be acquired once every day by using a large data platform around the data acquisition time point, and the data in the temporary inspection data table is always updated, so that the data can be covered on the day, the data acquisition frequency needs to be set, and the online inspection data can be obtained.
As an example, steps C10 to C40 include: detecting whether the data acquisition time point is later than a system inspection time point of the target detection system; if the data acquisition time point is later than the system inspection time point, taking the current day inspection data as the online inspection data; if the data acquisition time point is not later than the system inspection time point, updating a preset temporary inspection data table according to the data acquisition frequency of the current day inspection data to obtain at least one target temporary data table, wherein the preset temporary inspection data table is used for storing the current day inspection data; and merging the current day inspection data of each target temporary inspection data table at the data pulling time point to obtain the online inspection data.
Before the step of pulling the online inspection data of the target detection system at the data pulling time point, the system activity detection method further comprises the following steps:
step D10, determining a system inspection rule configured for the target detection system according to a rule importing instruction input by a user at a preset rule management interface;
step D20, issuing the system inspection rule to the target detection system;
And D30, when the issuing progress of the system inspection rule is detected to reach the standard, generating a default inspection time point of the target detection system, wherein the default inspection time point is a time point when the target detection system inspects according to the system inspection rule and generates inspection data.
In this embodiment, it should be noted that, when configuring the system inspection rule, the user introduces the system inspection rule into the preset rule management background according to the service object group, the target detection system version and the product type that are responsible for the system inspection rule, meanwhile, the user may further add, export and introduce the system inspection rule according to the system change, and the issuing progress is used for characterizing the progress of issuing the system inspection rule to the target detection system, specifically, may be between 0% and 100%, and if the user finds that the system inspection rule is not issued for 100% in the preset rule management interface for a long time, the system inspection rule may be modified and adjusted specifically, and the default inspection time point is a time point when the target detection system performs inspection according to the system inspection rule and generates inspection data, specifically, may be 2 points, 3 points or 4 points.
As an example, steps D10 to D30 include: determining a system inspection rule configured for a target detection system according to a rule importing instruction input by a user at a preset rule management interface; based on a rule synchronization instruction input by a user on the preset management interface, issuing a system inspection rule to the target detection system; and when the system inspection rule issuing progress is detected to be 100%, generating a default inspection time point of the target detection system, wherein the default inspection time point is a time point when the target detection system inspects according to the system inspection rule and generates inspection data.
The rule importing instructions include a first rule importing instruction and a second rule importing instruction, and the step of determining a system inspection rule configured for the target detection system according to the rule importing instruction input by a user at a preset rule management interface includes:
step E10, acquiring rule import information carried by the first rule import instruction; generating the system inspection rule according to the rule importing information; and/or
And E20, inquiring the system inspection rule in a preset inspection rule base according to the second rule importing instruction.
In this embodiment, it should be noted that, the first rule introduction instruction may be specifically triggered by the user clicking the confirm interaction button on a rule editing sub-interface of the preset rule management interface, where the rule editing sub-interface includes rule labels, rule descriptions, scene types, states, adjustment reasons, routing inspection sentences and other rule introduction information, and the second rule introduction instruction may be specifically triggered by the user clicking the introduce interaction button on the preset rule management interface.
As an example, steps E10 to E20 include: if the fact that the user clicks the confirm interaction button on a rule editing sub-interface of a preset rule management interface is detected, a first rule import instruction is generated, and rule labels, rule descriptions, scene types, states, adjustment reasons and inspection sentences carried by the first rule import instruction are obtained; generating the system inspection rule according to the rule tag, the rule description, the scene type, the state, the adjustment reason and the inspection statement; and/or
If the fact that the user clicks the importing interactive button on the preset rule management interface is detected, a second rule importing instruction is generated; and inquiring the system inspection rule in a preset inspection rule base according to the second rule importing instruction, wherein the preset inspection rule base stores a preset standard system inspection rule which is applicable to different target detection systems.
The embodiment of the application provides a system activity detection method, a system activity detection device, electronic equipment and a readable storage medium, namely, pulling on-line inspection data of a target detection system at a data pulling time point; processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data; determining the inspection score of the target detection system under at least one corresponding system inspection rule according to the inspection basic data; and obtaining the system activity of the target detection system by fusing the patrol score values. The system activity of the target detection system is obtained by fusing the inspection scores of the target detection system under the corresponding system inspection rules, and the inspection scores are determined by inspection basic data of the target detection system, namely, the system activity can truly feed back the system service condition of the target detection system, and the purpose of accurately evaluating the system service condition of the software system by taking the system activity as a unified quantitative index can be realized. And when each participant needs to evaluate the system use condition of the software system, visual feedback can be performed through the system activity. Rather than each participant relying on its own established criteria to evaluate the system usage of the software information system. Therefore, the technical defects that the system use condition of the software system needs to take a long time due to huge data volume of the software information system to be faced by the participants and certain difference exists between the participants in the evaluation standard, and the condition that the evaluation of the system use condition of each participant is not uniform is easily caused are overcome. Therefore, a quantitative evaluation means is provided for accurately evaluating the system use condition of the software system.
Further, referring to fig. 3, in the second embodiment of the present application, the same or similar contents as those of the first embodiment can be referred to the description above, and the description is omitted. On the basis, after the step of obtaining the system activity of the target detection system by fusing the inspection scores, the system activity detection method further comprises the following steps:
step F10, acquiring a total detection system affiliated to the target detection system;
step F20, generating activity prompt information according to the total system activity of the total detection system;
and step F30, displaying the liveness prompt information on a system management interface of the total detection system.
In this embodiment, it should be noted that, since the total detection system is generally formed by combining multiple different target detection systems, in order to embody the system activity condition of the total detection system of a certain service object, the activity prompt information of the current total detection system may be displayed to the service object based on the total system activity of the total detection system, where the total system activity may specifically be between 0 and 100 minutes, and the activity prompt information is used to prompt the system activity condition of the current total detection system of the service object.
As an example, steps F10 to F30 include: inquiring a total detection system affiliated to the target detection system by taking a system identifier of the target detection system as an index, wherein the system identifier can be specifically a system name; the system total activity is obtained by fusing the system activity of at least one subsystem of the total detection system, and activity prompt information corresponding to the system total activity is generated, wherein the fusing mode can be specifically an average value fusing mode, for example, in an implementation mode, if the total detection system M comprises A, B and C three subsystems, the system activity of A, B and C three subsystems is 70, 80 and 90 respectively, the system total activity is 80; and displaying the liveness prompt information on a system management interface of the total detection system.
The embodiment of the application provides an operation and maintenance alarm repetition rate display method. Namely, a total detection system affiliated to the target detection system is obtained; generating activity prompt information according to the total system activity of the total detection system; and displaying the liveness prompt information on a system management interface of the total detection system. According to the method and the system, the total system activity is calculated through the system activity of at least one subsystem of the total detection system, the corresponding activity prompt information is generated according to the total system activity, and the information is displayed on the system management interface of the total detection system, so that the system use condition of the total detection system can be intuitively displayed for a service object, a foundation is laid for the development of resource integration work of a subsequent service object, and the system use condition of each target detection system is not accurately displayed, so that the convenience of the service object in evaluating the system use condition of the total detection system is improved.
The third embodiment of the present application further provides a system activity detection device, referring to fig. 4, where the system activity detection device includes:
a pulling module 101, configured to pull online inspection data of the target detection system at a data pulling time point;
the processing module 102 is configured to process the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data;
a determining module 103, configured to determine, according to the inspection basic data, an inspection score of the target detection system under at least one system inspection rule corresponding to the inspection basic data;
and the fusion module 104 is configured to obtain the system activity of the target detection system by fusing the inspection scores.
Optionally, the processing module 102 is further configured to:
yesterday inspection data of the target detection system are obtained;
inserting the yesterday inspection data into a preset historical data table to obtain a target historical data table, wherein the preset historical data table comprises historical inspection data of the target detection system;
obtaining offline inspection data of the target detection system by reading the target historical data table;
and merging the online inspection data and the offline inspection data into the inspection basic data.
Optionally, the processing module 102 is further configured to:
collecting the current day inspection data inspected by the target detection system at a data acquisition time point;
and pulling the updated data of the current day inspection at the data pulling time point to obtain the online inspection data, wherein the data pulling time point is later than the data acquisition time point.
Optionally, the processing module 102 is further configured to:
detecting whether the data acquisition time point is later than a system inspection time point of the target detection system;
if yes, taking the current day inspection data as the online inspection data;
if not, updating a preset temporary patrol data table according to the data acquisition frequency of the current day patrol data to obtain at least one target temporary data table, wherein the preset temporary patrol data table is used for storing the current day patrol data;
and merging the current day inspection data of each target temporary inspection data table at the data pulling time point to obtain the online inspection data.
Optionally, the system activity detection device is further configured to:
determining a system inspection rule configured for a target detection system according to a rule importing instruction input by a user at a preset rule management interface;
Issuing the system inspection rule to the target detection system;
and when the issuing progress of the system inspection rule is detected to reach the standard, generating a default inspection time point of the target detection system, wherein the default inspection time point is a time point when the target detection system inspects according to the system inspection rule and generates inspection data.
Optionally, the rule import instruction includes a first rule import instruction and a second rule import instruction, and the system activity detection device is further configured to:
acquiring rule import information carried by the first rule import instruction; generating the system inspection rule according to the rule importing information; and/or
And inquiring the system inspection rule in a preset inspection rule base according to the second rule importing instruction.
Optionally, the system activity detection device is further configured to:
acquiring a total detection system affiliated to the target detection system;
generating activity prompt information according to the total system activity of the total detection system;
and displaying the liveness prompt information on a system management interface of the total detection system.
The system activity detection device provided by the invention solves the technical problem that the system use condition of a software system cannot be accurately estimated by adopting the system activity detection method in the embodiment. Compared with the prior art, the system activity detection device provided by the embodiment of the invention has the same beneficial effects as the system activity detection method provided by the embodiment, and other technical features in the system activity detection device are the same as the features disclosed by the method of the embodiment, and are not repeated herein.
A fourth embodiment of the present invention provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the system activity detection method in the first embodiment.
Referring now to fig. 5, a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure is shown. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 5 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 5, the electronic device may include a processing apparatus 1001 (e.g., a central processing unit, a graphics processor, etc.), which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1002 or a program loaded from a storage apparatus 1003 into a Random Access Memory (RAM) 1004. In the RAM1004, various programs and data required for the operation of the electronic device are also stored. The processing device 1001, the ROM1002, and the RAM1004 are connected to each other by a bus 1005. An input/output (I/O) interface 1006 is also connected to the bus.
In general, the following systems may be connected to the I/O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, and the like; an output device 1008 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage device 1003 including, for example, a magnetic tape, a hard disk, and the like; and communication means 1009. The communication means may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While electronic devices having various systems are shown in the figures, it should be understood that not all of the illustrated systems are required to be implemented or provided. More or fewer systems may alternatively be implemented or provided.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 1009, or installed from the storage device 1003, or installed from the ROM 1002. The above-described functions defined in the method of the embodiment of the present disclosure are performed when the computer program is executed by the processing device 1001.
The electronic equipment provided by the invention solves the technical problem that the system service condition of a software system cannot be accurately evaluated by adopting the system activity detection method in the embodiment. Compared with the prior art, the electronic device provided by the embodiment of the invention has the same beneficial effects as the system activity detection method provided by the embodiment, and other technical features in the electronic device are the same as the features disclosed by the method of the embodiment, and are not repeated herein.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
The fifth embodiment provides a computer-readable storage medium having computer-readable program instructions stored thereon for performing the system activity detection method in the above embodiment.
The computer readable storage medium according to the embodiments of the present invention may be, for example, a usb disk, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this embodiment, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The above-described computer-readable storage medium may be contained in an electronic device; or may exist alone without being assembled into an electronic device.
The computer-readable storage medium carries one or more programs that, when executed by an electronic device, cause the electronic device to: pulling online inspection data of the target detection system at a data pulling time point; processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data; determining the inspection score of the target detection system under at least one corresponding system inspection rule according to the inspection basic data; and obtaining the system activity of the target detection system by fusing the patrol score values.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
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 invention. 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.
The modules described in the embodiments of the present disclosure may be implemented in software or hardware. Wherein the name of the module does not constitute a limitation of the unit itself in some cases.
The computer readable storage medium provided by the invention stores the computer readable program instructions for executing the system activity detection method, and solves the technical problem that the system use condition of a software system cannot be accurately evaluated. Compared with the prior art, the beneficial effects of the computer readable storage medium provided by the embodiment of the invention are the same as those of the system activity detection method provided by the above embodiment, and are not described in detail herein.
A sixth embodiment of the present application further provides a computer program product, including a computer program, where the computer program when executed by a processor implements the steps of the system activity detection method as described above.
The computer program product solves the technical problem that the system service condition of the software system cannot be accurately evaluated. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiment of the present invention are the same as those of the system activity detection method provided by the above embodiment, and are not described in detail herein.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims.
Claims (7)
1. The system activity detection method is characterized by comprising the following steps of:
pulling online inspection data of the target detection system at a data pulling time point;
processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data;
determining a patrol score of the target detection system under at least one corresponding system patrol rule according to the patrol basic data, wherein a mapping relationship exists between the patrol basic data and the system patrol rule;
obtaining the system activity of the target detection system by fusing the inspection scores, wherein the step of processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data comprises the following steps:
yesterday inspection data of the target detection system are obtained;
inserting the yesterday inspection data into a preset historical data table to obtain a target historical data table, wherein the preset historical data table comprises historical inspection data of the target detection system;
obtaining offline inspection data of the target detection system by reading the target historical data table;
Combining the online patrol data and the offline patrol data into the patrol basic data, wherein the step of pulling the online patrol data of the target detection system at the data pulling time point comprises the following steps:
collecting the current day inspection data inspected by the target detection system at a data acquisition time point;
detecting whether the data acquisition time point is later than a system inspection time point of the target detection system;
if yes, taking the current day inspection data as the online inspection data;
if not, updating a preset temporary patrol data table according to the data acquisition frequency of the current day patrol data to obtain at least one target temporary data table, wherein the preset temporary patrol data table is used for storing the current day patrol data;
and merging the current day inspection data of each target temporary data table at the data pulling time point to obtain the online inspection data.
2. The system liveness detection method as in claim 1 wherein prior to the step of pulling on-line patrol data of a target detection system at a data pull time point, the system liveness detection method further comprises:
Determining a system inspection rule configured for a target detection system according to a rule importing instruction input by a user at a preset rule management interface;
issuing the system inspection rule to the target detection system;
and when the issuing progress of the system inspection rule is detected to reach the standard, generating a default inspection time point of the target detection system, wherein the default inspection time point is a time point when the target detection system inspects according to the system inspection rule and generates inspection data.
3. The system activity detection method of claim 2, wherein the rule-based instruction comprises a first rule-based instruction and a second rule-based instruction,
the step of determining the system inspection rule configured for the target detection system according to the rule import instruction input by the user in the preset rule management interface comprises the following steps:
acquiring rule import information carried by the first rule import instruction; generating the system inspection rule according to the rule importing information; and/or
And inquiring the system inspection rule in a preset inspection rule base according to the second rule importing instruction.
4. The system activity detection method according to claim 1, wherein after the step of obtaining the system activity of the target detection system by fusing the patrol scores, the system activity detection method further comprises:
Acquiring a total detection system affiliated to the target detection system;
generating activity prompt information according to the total system activity of the total detection system;
and displaying the liveness prompt information on a system management interface of the total detection system.
5. A system activity detection apparatus, characterized in that the system activity detection apparatus comprises:
the pulling module is used for pulling on-line inspection data of the target detection system at a data pulling time point;
the processing module is used for processing the online inspection data and the offline inspection data of the target detection system to obtain inspection basic data;
the determining module is used for determining the inspection score of the target detection system under at least one corresponding system inspection rule according to the inspection basic data, wherein the inspection basic data and the system inspection rule have a mapping relation;
the fusion module is used for obtaining the system activity of the target detection system by fusing the inspection scores, wherein the processing module is also used for obtaining yesterday inspection data of the target detection system; inserting the yesterday inspection data into a preset historical data table to obtain a target historical data table, wherein the preset historical data table comprises historical inspection data of the target detection system; obtaining offline inspection data of the target detection system by reading the target historical data table; combining the online inspection data and the offline inspection data into the inspection basic data, wherein the pulling module is further used for collecting the current day inspection data inspected by the target detection system at a data acquisition time point; detecting whether the data acquisition time point is later than a system inspection time point of the target detection system; if yes, taking the current day inspection data as the online inspection data; if not, updating a preset temporary patrol data table according to the data acquisition frequency of the current day patrol data to obtain at least one target temporary data table, wherein the preset temporary patrol data table is used for storing the current day patrol data; and merging the current day inspection data of each target temporary data table at the data pulling time point to obtain the online inspection data.
6. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the system activity detection method of any one of claims 1 to 4.
7. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a program for realizing the system liveness detection method, the program for realizing the system liveness detection method being executed by a processor to realize the steps of the system liveness detection method as claimed in any one of claims 1 to 4.
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