CN117270937A - Digital operation and maintenance management system - Google Patents
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Abstract
The invention discloses a digital operation and maintenance management system in the technical field of operation and maintenance management, which comprises a data acquisition module: is responsible for collecting data from various digitizing systems and devices and storing it in a centralized data warehouse; and a data analysis and prediction module: providing assessment and optimization suggestions for digital operation flow and system performance by analyzing and predicting the acquired data; operation command center: and providing a user interface, displaying data analysis results and operation indexes, helping management personnel to comprehensively know digital operation and maintenance conditions and making decisions in time. Comprehensively: the system covers the whole digital operation and maintenance flow, and provides one-stop management and monitoring solution from data acquisition to automatic operation and maintenance, intelligent analysis: the system can carry out intelligent analysis and prediction on the operation data by means of the data analysis and prediction module, and provides customized coping strategies and optimization suggestions.
Description
Technical Field
The invention relates to the technical field of operation and maintenance management, in particular to a digital operation and maintenance management system.
Background
The operation and maintenance management helps enterprises establish quick response and adapts to IT operation and maintenance modes of enterprise business environments and business development, and flow frames and operation and maintenance automation based on ITIL are realized.
In the current digital age, various enterprises, organizations, and services are increasingly dependent on the support and management of digital technology. The digital operation and maintenance management system is a system designed to fully manage and monitor digital operation and maintenance processes in order to meet the requirement.
Currently, although some digital operation and maintenance tools and platforms already exist, these tools and platforms have some limitations in terms of functionality and efficiency. Accordingly, the present application proposes a digital operation and maintenance management system.
Disclosure of Invention
The present invention aims to provide a digital operation and maintenance management system, which uses advanced technology to realize comprehensive management and monitoring of digital operation and maintenance processes, so as to solve the problems of limitations of the digital operation and maintenance tools and platforms in terms of functions and efficiency, although the tools and platforms exist in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions: a digital operation and maintenance management system comprising:
and a data acquisition module: is responsible for collecting data from various digitizing systems and devices and storing it in a centralized data warehouse;
and a data analysis and prediction module: providing assessment and optimization suggestions for digital operation flow and system performance by analyzing and predicting the acquired data;
operation command center: providing a user interface, displaying data analysis results and operation indexes, helping management personnel to comprehensively know digital operation and maintenance conditions and making decisions in time;
and an automatic operation and maintenance module: based on the analysis result and the prediction suggestion, the operation and maintenance operation is automatically executed, so that the manual intervention is reduced, and the operation and maintenance efficiency is improved;
a security monitoring and alarm module: the digital operation environment safety is monitored in real time, and alarms and responses are timely found and carried out on the safety risks and the loopholes.
As a further scheme of the invention: the data acquisition module further comprises the following sub-modules:
diversified data sources support: the data can be collected from various data sources of an application system, a database, a server log and sensor equipment in the enterprise;
and (3) real-time data acquisition: for operation and maintenance indexes which need to be monitored and responded in real time, the module can collect and process data at the same time of generating so as to make decisions and adjustments in time;
and (3) guaranteeing data quality: abnormal values, repeated values and missing value errors in the data can be detected and processed, so that the follow-up data analysis and prediction module can work based on high-quality data;
data conversion and normalization: the data in different data sources can be subjected to format conversion and unified into a standard format required by a system, and in addition, unified unit conversion and timestamp adjustment operation can be performed on the data for facilitating subsequent analysis and calculation;
extensibility and customizable: the user can expand the data acquisition module according to the requirement of the user so as to adapt to different data sources and acquisition requirements, meanwhile, the module also provides flexible configuration options, and the user can customize acquisition frequency, data fields and acquisition strategy parameters so as to meet specific operation and maintenance requirements.
As still further aspects of the invention: the data analysis and prediction module further comprises the following sub-modules:
data analysis algorithms and models: the method comprises statistical analysis, machine learning and data mining technologies, which are used for finding out the relevance, the trending and the abnormal value among the data, analyzing the historical data and the real-time data and extracting valuable information and insight from the historical data and the real-time data;
index evaluation and optimization suggestion: the method can automatically identify potential problems and bottlenecks according to the characteristics and the change trend of the data, generate a corresponding optimization scheme, and simultaneously support user-defined indexes and an evaluation method by the module so as to meet personalized operation requirements;
trend analysis and prediction: using techniques such as time sequence analysis, regression model, time sequence prediction, etc., to predict various indexes and variables for a long term and a short term, =help management personnel to make strategic decisions and resource allocation in advance, avoiding potential risks and problems;
real-time monitoring and alarming: the system can monitor key indexes in real time, generate corresponding alarm notices according to a preset threshold value, automatically trigger an alarm mechanism when the indexes reach or exceed the threshold value, timely inform related personnel, and provide related diagnosis information and suggestions;
intelligent decision support: and an intuitive data visualization interface is provided, analysis results are displayed in the forms of charts, reports and the like, so that management staff can quickly understand the meaning and trend of data, the module also supports an intelligent decision support function, and an intelligent decision support system is provided based on the data analysis results and prediction suggestions.
As still further aspects of the invention: the operation and maintenance command center also comprises the following sub-modules:
real-time monitoring and status display: providing a real-time monitoring and state display function, and displaying each key index and system state in the form of an instrument panel, a chart or a map;
comprehensive reporting and analysis: providing comprehensive report and analysis functions, carrying out deep analysis and visual presentation on the acquired data, generating various customized reports, reports and charts, helping management personnel to comprehensively know the operation condition and evaluating the change and trend of each index;
instruction scheduling and response: the system has the functions of instruction scheduling and response, and a manager can issue instructions through a center to perform centralized scheduling and control on digital operation and maintenance processes;
intelligent decision support: the intelligent decision support function is supported, and an intelligent decision support system is provided through a built-in data analysis and prediction model;
security and risk management: the system has the functions of safety and risk management, monitors and identifies potential safety threats and risks in real time, and a center can provide real-time safety alarm and risk assessment reports through log analysis, anomaly detection and other technologies.
As still further aspects of the invention: the automatic operation and maintenance module further comprises the following sub-modules:
automated task scheduling: the method can support automatic task scheduling, automatically trigger and distribute each operation and maintenance task according to preset rules and strategies, reasonably arrange the execution sequence and time of the tasks according to priority, time planning and resource conditions, and automatically distribute and schedule the tasks;
fault diagnosis and automatic repair: faults in the system and the application can be identified and monitored, the fault cause can be rapidly positioned through an automatic fault diagnosis algorithm and a model, and automatic repair measures are provided;
automated configuration management: the system and the method can centrally manage and automatically configure various parameters and settings of the system and the application, have the functions of automatically generating, distributing and updating configuration files, and can automatically execute the change and adjustment of the configuration according to different environments and requirements;
automatic monitoring and alarming: the system can automatically monitor key indexes and system states, generate corresponding alarms and alarm notices according to preset thresholds, track and report health conditions and performance indexes of the system in real time, and automatically identify and process abnormal conditions;
automated log management: the system has an automatic log management function, can automatically collect, store and analyze log information of a system and an application, can find potential problems and anomalies through a log analysis technology, automatically alarms and processes, and simultaneously, the module also supports searching, inquiring and report generating of the log.
As still further aspects of the invention: the safety monitoring and early warning module further comprises the following sub-modules:
real-time safety monitoring: the system and the application can monitor various security indexes and events of the system and the application in real time, and can monitor and analyze login conditions, authority access, abnormal behaviors and network attack behaviors of users in real time;
intelligent security event analysis: the intelligent safety event analysis function is provided, safety events can be automatically identified and classified through analysis and excavation of the safety events, the hazard degree and the priority of the safety events can be judged according to historical data and modes, and corresponding response measures and suggestions are provided;
real-time alarm and alert notification: the module can generate real-time alarm and alarm notification according to preset safety rules and threshold values, and when a safety event or an abnormal condition occurs, the module can trigger the alarm in time and notify related personnel in various modes;
customizing a security policy: configuration of customized security policies is supported, and an administrator can flexibly define security rules, policies and thresholds according to actual requirements and business characteristics, and adjust and optimize the security rules, policies and thresholds at any time;
security reporting and auditing: security reports and audit records can be generated, the processing and results of security events can be recorded and tracked, and corresponding reports and audit records can be generated.
As still further aspects of the invention: .
Compared with the prior art, the invention has the beneficial effects that:
comprehensively: the system covers the whole digital operation and maintenance flow, and provides a one-stop management and monitoring solution from data acquisition to automatic operation and maintenance.
Intelligent analysis: the system can carry out intelligent analysis and prediction on the operation data by means of the data analysis and prediction module, and provides customized coping strategies and optimization suggestions.
Automatic operation and maintenance: through automatic operation and maintenance module, the system can automatically execute operation and maintenance operation according to analysis results and prediction suggestions, reduces manual intervention, and improves operation and maintenance efficiency.
And (3) safety monitoring: the security monitoring and alarming module is provided, so that the security of the digital operation environment can be monitored in real time, and the security risk and vulnerability can be timely found and alarmed and responded.
User friendly interface: the operation command center provides an intuitive user interface, helps management personnel to comprehensively know digital operation and maintenance conditions and makes decisions in time.
Drawings
FIG. 1 is a schematic diagram of a system architecture of a digital operation and maintenance management system according to the present invention;
FIG. 2 is a schematic diagram of a system architecture of a data acquisition module in a digital operation and maintenance management system according to the present invention;
FIG. 3 is a schematic diagram of a system architecture of a data analysis and prediction module in the digital operation and maintenance management system according to the present invention;
FIG. 4 is a schematic diagram of a system architecture of an operation command center in the digital operation and maintenance management system according to the present invention;
FIG. 5 is a schematic diagram of a system architecture of an automated operation and maintenance module in the digital operation and maintenance management system according to the present invention;
FIG. 6 is a schematic diagram of a system architecture of a security monitoring and alarm module in the digital operation and maintenance management system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type and not limited to the number of objects, e.g., the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.
In the description of the present invention, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that, unless explicitly stated and limited otherwise, the terms "mounted," "connected," and "disposed" are to be construed broadly, and may be fixedly connected, disposed, or detachably connected, disposed, or integrally connected, disposed, for example. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Referring to fig. 1 to 6, in an embodiment of the present invention, a digital operation and maintenance management system includes:
and a data acquisition module: is responsible for collecting data from various digitizing systems and devices and storing it in a centralized data warehouse;
and a data analysis and prediction module: providing assessment and optimization suggestions for digital operation flow and system performance by analyzing and predicting the acquired data;
operation command center: providing a user interface, displaying data analysis results and operation indexes, helping management personnel to comprehensively know digital operation and maintenance conditions and making decisions in time;
and an automatic operation and maintenance module: based on the analysis result and the prediction suggestion, the operation and maintenance operation is automatically executed, so that the manual intervention is reduced, and the operation and maintenance efficiency is improved;
a security monitoring and alarm module: the digital operation environment safety is monitored in real time, and alarms and responses are timely found and carried out on the safety risks and the loopholes.
Preferably:
and a data acquisition module:
the data collection module of the digital operation and maintenance management system of the present invention is a key component designed to efficiently collect data from the various digitizing systems and devices and store it in a centralized data warehouse. The data acquisition module further comprises the following sub-modules:
diversified data sources support: the data acquisition module has a flexible structure and can support various types and formats of data sources. The system can collect data from various data sources such as various application systems, databases, server logs, sensor devices and the like in enterprises. In addition, it can be integrated with an external data provider or API interface to obtain and integrate information of external data sources.
And (3) real-time data acquisition: the data acquisition module not only can periodically acquire data, but also can support real-time data acquisition. For operation and maintenance indexes which need to be monitored and responded in real time, the module can collect and process data at the same time of generating so as to make decisions and adjustments in time.
And (3) guaranteeing data quality: the data acquisition module is internally provided with a series of data quality inspection and cleaning mechanisms so as to ensure that the acquired data is accurate, complete and reliable. The method can detect and process errors such as abnormal values, repeated values, missing values and the like in the data, and ensure that a subsequent data analysis and prediction module can work based on high-quality data.
Data conversion and normalization: the data acquisition module provides flexible and configurable data conversion and normalization functions. The data format conversion method can convert the data in different data sources into the standard format required by the system. In addition, for facilitating subsequent analysis and calculation, the method can also perform unified unit conversion, timestamp adjustment and other operations on the data.
Extensibility and customizable: the data acquisition module is extensible and customizable, allowing configuration and customization according to specific business needs. The user can expand the data acquisition module according to the requirement of the user so as to adapt to different data sources and acquisition requirements. Meanwhile, the module also provides flexible configuration options, and a user can customize parameters such as acquisition frequency, data fields, acquisition strategies and the like so as to meet specific operation and maintenance requirements.
Through the abundance of the sub-modules, the data acquisition module can efficiently and accurately acquire data and provide a reliable data basis for the subsequent modules such as data analysis, operation and maintenance instructions, safety monitoring and the like.
And a data analysis and prediction module:
the data analysis and prediction module is a core component of the digital operation and maintenance management system in the invention. The method provides assessment and optimization suggestions for the digital operation flow and the system performance by carrying out deep analysis and prediction on the acquired data. The data analysis and prediction module further comprises the following sub-modules:
data analysis algorithms and models: the data analysis and prediction module is internally provided with various data analysis algorithms and models so as to adapt to different types of data and business scenes. Including but not limited to statistical analysis, machine learning, data mining, etc., for discovering correlations, trends, outliers, etc. among data. It is capable of analyzing historical data and real-time data, extracting valuable information and insight therefrom.
Index evaluation and optimization suggestion: the data analysis and prediction module can comprehensively evaluate the operation indexes and provide targeted optimization suggestions. The method can automatically identify potential problems and bottlenecks according to the characteristics and the change trend of the data, and generate a corresponding optimization scheme. Meanwhile, the module also supports user-defined indexes and evaluation methods so as to meet personalized operation requirements.
Trend analysis and prediction: the data analysis and prediction module can predict future operation trend and development direction through trend analysis of historical data. The method can predict various indexes and variables for a long term and a short term by using technologies such as time sequence analysis, regression models, time sequence prediction and the like. This will help the manager make strategic decisions and resource allocation in advance, avoiding potential risks and problems.
Real-time monitoring and alarming: the data analysis and prediction module can monitor key indexes in real time and generate corresponding alarm notification according to a preset threshold value. When the index reaches or exceeds the threshold, the system automatically triggers an alarm mechanism, immediately informs relevant personnel, and provides relevant diagnosis information and advice. This will help the manager to discover and solve potential problems in time, improving the stability and reliability of digital operation.
Intelligent decision support: the data analysis and prediction module provides an visual data visualization interface, and the analysis result is displayed in the form of a chart, a report and the like, so that a manager can quickly understand the meaning and trend of the data. In addition, the module also supports an intelligent decision support function, provides an intelligent decision support system based on the data analysis result and the prediction suggestion, and helps management staff to make scientific and effective operation decisions.
Through the enrichment of the sub-modules, the data analysis and prediction module can deeply mine the value of the data and provide comprehensive operation assessment and optimization suggestions, so that a management team can more scientifically manage and decide digital operation and maintenance flows.
Operation command center:
the operation command center in the invention is a core console of the digital operation and maintenance management system, and provides functions of real-time monitoring, command decision, operation control and the like. The operation command center module further comprises the following submodules:
real-time monitoring and status display: the operation command center provides the functions of real-time monitoring and state display, and displays each key index and system state in the forms of instrument panels, charts or maps and the like. The manager can clearly know the real-time numerical value, trend and warning value of each index, and the running state and abnormal condition of the system.
Comprehensive reporting and analysis: the operation command center provides comprehensive reporting and analysis functions, and performs deep analysis and visual presentation on the collected data. The method can generate various customized reports, reports and charts, help management personnel to comprehensively understand the operation condition and evaluate the change and trend of various indexes.
Instruction scheduling and response: the operation command center has the functions of instruction scheduling and response, and the manager can issue instructions through the center to perform centralized scheduling and control on digital operation and maintenance processes. The center can also track the execution of the instructions in real time and provide corresponding feedback and reports.
Intelligent decision support: the operation command center supports an intelligent decision support function, and an intelligent decision support system is provided through a built-in data analysis and prediction model. The method can generate a decision analysis report and an optimization suggestion according to the real-time data and the historical trend, and help management personnel to make scientific and effective operation decisions.
Security and risk management: the operation command center has the functions of safety and risk management, and potential safety threats and risks can be monitored and identified in real time. The center can provide real-time security alarm and risk assessment report through log analysis, anomaly detection and other technologies, and timely adopts countermeasures to ensure the security and reliability of digital operation.
Through the abundance of the sub-modules, the operation command center can provide comprehensive real-time monitoring, command decision and operation control functions for management staff, and help the management staff to timely and scientifically manage and process various conditions and problems in digital operation and maintenance processes.
And an automatic operation and maintenance module:
the automatic operation and maintenance module is an important component of the digital operation and maintenance management system in the invention, can automatically execute operation and maintenance tasks and processes, improves efficiency and quality, and further comprises the following sub-modules:
automated task scheduling: the automatic operation and maintenance module can support automatic task scheduling, and each operation and maintenance task is automatically triggered and distributed according to preset rules and strategies. The method can reasonably arrange the execution sequence and time of the tasks according to the priority, time planning and resource conditions, automatically allocate and schedule the tasks, reduce manual intervention and improve operation and maintenance efficiency.
Fault diagnosis and automatic repair: the automatic operation and maintenance module can identify and monitor faults in the system and the application, rapidly locate fault reasons through an automatic fault diagnosis algorithm and a model, and provide automatic repair measures. The fault repairing method can automatically execute the fault repairing process, reduce manual intervention and improve the speed and precision of fault processing.
Automated configuration management: the automated operation and maintenance module can centrally manage and automatically configure various parameters and settings of the system and the application. The system has the functions of automatically generating, distributing and updating configuration files, and can automatically execute the change and adjustment of the configuration according to different environments and requirements, so that the manageability and stability of the system are improved.
Automatic monitoring and alarming: the automatic operation and maintenance module can automatically monitor key indexes and system states and generate corresponding alarms and alarm notices according to preset thresholds. The system can track and report the health condition and performance index of the system in real time, automatically identify and process abnormal conditions, and ensure the reliability and stability of the system.
Automated log management: the automatic operation and maintenance module has an automatic log management function and can automatically collect, store and analyze log information of the system and the application. The method can discover potential problems and anomalies through log analysis technology, and automatically alarm and process. Meanwhile, the module also supports searching, inquiring and report generating of the log, and helps an administrator to quickly locate the problem and improve the fault processing efficiency.
Through the abundance of the sub-modules, the automatic operation and maintenance module can effectively improve operation and maintenance efficiency and quality, reduce manual intervention, reduce failure rate, improve reliability and stability of digital operation and maintenance, and further improve management capability of a system and application.
A security monitoring and alarm module:
the safety monitoring and alarming module is an important component of the digital operation and maintenance management system, is used for monitoring the safety state of the system and the application in real time and providing timely alarming and alarming notification. The security monitoring and alarm module further comprises the following sub-modules:
real-time safety monitoring: the security monitoring and alarm module is capable of monitoring various security indicators and events of the system and the application in real time. The system can monitor and analyze the login condition, authority access, abnormal behavior, network attack and the like of the user in real time. Potential security threats and risks are discovered in time through built-in security rules, algorithms and machine learning models.
Intelligent security event analysis: the safety monitoring and alarming module has an intelligent safety event analysis function, and can automatically identify and classify safety events through analysis and mining of the safety events. The method can judge the hazard degree and the priority of the safety event according to the historical data and the mode, and provide corresponding response measures and suggestions.
Real-time alarm and alert notification: the safety monitoring and alarm module can generate real-time alarms and alarm notices according to preset safety rules and thresholds. When a security event or abnormal situation occurs, the module can trigger an alarm in time and inform related personnel in various modes, such as short messages, mails, instant messaging and the like, so as to take corresponding security measures in time.
Customizing a security policy: the security monitoring and alarm module supports the configuration of customized security policies. The administrator can flexibly define the security rules, strategies and thresholds according to the actual demands and the business characteristics, and adjust and optimize at any time. Therefore, the accuracy and the adaptability of safety monitoring can be ensured, and the detection and early warning capability of the system for specific safety events can be improved.
Security reporting and auditing: the security monitoring and alarm module is capable of generating security reports and audit records. The method can record and track the processing process and result of the security event and generate corresponding report and audit record for post analysis, tracing and improvement.
Through the abundance of the sub-modules, the safety monitoring and alarming module can monitor the safety states of the system and the application in real time, discover potential safety threats and risks in time, provide corresponding alarming and alarming notices, help an administrator to quickly respond and process safety events, and improve the safety and reliability of the system and the application.
The data analysis and prediction module basically operates logic:
the data analysis and prediction module is a key component of the digital operation and maintenance management system, is used for analyzing and predicting the data of the system and the application, and provides basis for decision support and business optimization. The following is a description of the data analysis method of the data analysis and prediction module and the basic operating logic of the prediction module:
the data analysis method comprises the following steps:
data collection and cleaning: the data analysis and prediction module is responsible for collecting various data generated by the system and the application, including logs, monitoring indexes, event records and the like. The method is also responsible for cleaning and preprocessing the original data, removing abnormal values, missing values and the like, and guaranteeing the accuracy and the integrity of the data.
Characteristic engineering: in the data analysis process, the data analysis and prediction module performs feature engineering to obtain more valuable information from the original data by extracting and constructing appropriate features. This includes statistical features, timing features, correlation features, etc. to enhance the ability of data analysis and prediction.
Data exploration and visualization: the data analysis and prediction module explores and analyzes the data through a visual means. The method can reveal the inherent relationship, trend and rule of the data by drawing a chart, a thermodynamic diagram, a scatter diagram and the like, so that an administrator can be helped to quickly understand the data and find potential problems and opportunities.
Data mining and pattern recognition: the data analysis and prediction module analyzes and mines the data by utilizing machine learning, data mining and other technologies, and finds patterns and rules in the data. The method can identify abnormal conditions, association rules, trend changes and the like in the data through algorithms and models, and provides support for business decision and optimization.
Basic operation logic of the prediction module:
establishing a prediction model: the prediction module firstly carries out model training and learning through historical data. The method uses a proper prediction algorithm and a statistical model to construct a corresponding prediction model according to the characteristics and the requirements of the system and the application. Common predictive algorithms include regression analysis, time series analysis, machine learning, and the like.
Feature extraction and selection: the prediction module extracts features which are helpful for prediction from the historical data, and possibly performs feature selection to screen out the most relevant features. This helps to improve the accuracy and generalization ability of the predictive model.
Predictive model application: once the prediction model is built, the prediction module will use the model to predict future data. The method uses the established model, inputs real-time or offline data, calculates corresponding prediction results, and provides the prediction results for an administrator to make decisions and optimize.
Result evaluation and feedback: the prediction module evaluates and feeds back the prediction result, and the performance of the prediction model can be evaluated through some indexes (such as mean square error, accuracy, recall rate and the like). Meanwhile, the module can also optimize and improve the prediction model by comparing with the actual result.
Through the data analysis method and the basic operation logic of the prediction module, the data analysis and prediction module can process data of a system and an application.
The specific working steps of the operation command center are as follows:
data collection and integration: the operation command center is firstly responsible for collecting various data generated by the system and the application, including equipment data, network data, application data, logs and the like. It integrates and normalizes these data to build a comprehensive operational data set.
Real-time monitoring and analysis: and the operation command center monitors and analyzes the operation states of the system and the application in real time. The system can use built-in monitoring rules and algorithms to analyze and alarm the collected data in real time, and generate a visual operation data chart and an instrument panel, so that an administrator can quickly know the operation conditions of the system and the application.
Problem identification and prioritization: the operation command center identifies problems and abnormal conditions in the system and the application by analyzing the monitoring data. The method can divide corresponding priority for each problem according to preset priority rules so as to facilitate subsequent command scheduling and problem processing.
Command scheduling and cooperative work: aiming at the identified problems, the operation command center can conduct command dispatching and cooperative work. It will distribute questions to the corresponding team members by way of workflow and task assignment, and monitor and manage the execution progress of the tasks. At the same time, it can also cooperate with other related departments or external suppliers to accelerate the problem solving speed.
Fault handling and post hoc analysis: the operation command center is responsible for supervising and guiding the fault handling process. It will analyze the root cause of the problem with the engineer and provide corresponding solutions and work guidelines. After the fault is processed, the fault is also subjected to post analysis and summary to extract teaching and improve the operation flow.
Data reporting and decision support: the operation command center generates operation data report and analysis result for providing decision support to management team. The report and analysis results can show the running conditions, problem processing conditions, trend analysis and the like of the system and the application, and help management teams to make reasonable business decisions and optimize operation strategies.
Through the specific working steps, the operation command center can monitor the operation states of the system and the application in real time, quickly identify the problems and command the scheduling to solve, and provide decision support and optimize the operation flow, thereby improving the stability and the reliability of the system and the application.
Working logic of the automatic operation and maintenance module:
the automatic operation and maintenance module is a key component of the digital operation and maintenance management system and is used for realizing automatic fault detection, fault processing and operation and maintenance operation. The following is an illustration of the working logic of the automated operation and maintenance module:
and (3) fault detection: the automatic operation and maintenance module continuously monitors the states of the system and the application and detects the potential fault condition through a preset rule or a machine learning algorithm. These rules may be defined based on thresholds, abnormal patterns, historical data, and the like. Upon detection of a fault, the automated operation and maintenance module triggers subsequent processing flows.
Fault diagnosis: the automated operation and maintenance module diagnoses the detected faults to determine the cause and scope of the faults. According to the information such as the monitoring data, the log file, the history record and the like, error positioning and fault analysis can be carried out, and a corresponding fault report can be generated so as to quickly solve the problem.
And (3) fault treatment: and the automatic operation and maintenance module executes corresponding fault processing operation according to the fault diagnosis result. This may include automated repair operations, resource scheduling, application restarting, etc. The module can be integrated with other operation and maintenance tools and equipment, and corresponding operation is automatically triggered, so that the response speed and the solution efficiency of the problem are improved.
And (3) operation and maintenance task automation: in addition to fault handling, the automated operation and maintenance module is also capable of performing automation of operation and maintenance operations. The method can execute common operation and maintenance operations, such as backup, cleaning, configuration change and the like, according to preset rules and timing tasks. The automatic operation and maintenance module realizes automatic execution of operation and maintenance tasks through integration with a system and an application and using scripts and instructions, improves the working efficiency and reduces human errors.
Monitoring and feedback: the automatic operation and maintenance module is responsible for monitoring fault processing and execution conditions of operation and maintenance tasks and timely feeding back to an operation and maintenance team. It can generate operation logs, reports and indexes, track and record each operation for problem tracing and performance evaluation.
Through the working logic, the automatic operation and maintenance module can realize automatic detection, diagnosis and treatment of faults and automatic execution of operation and maintenance operations. The method can improve the speed and accuracy of fault processing, lighten the workload of operation and maintenance teams and improve the usability and stability of the system and the application.
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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.
Claims (6)
1. The digital operation and maintenance management system is characterized in that: comprising the following steps:
and a data acquisition module: is responsible for collecting data from various digitizing systems and devices and storing it in a centralized data warehouse;
and a data analysis and prediction module: providing assessment and optimization suggestions for digital operation flow and system performance by analyzing and predicting the acquired data;
operation command center: providing a user interface, displaying data analysis results and operation indexes, helping management personnel to comprehensively know digital operation and maintenance conditions and making decisions in time;
and an automatic operation and maintenance module: based on the analysis result and the prediction suggestion, the operation and maintenance operation is automatically executed, so that the manual intervention is reduced, and the operation and maintenance efficiency is improved;
a security monitoring and alarm module: the digital operation environment safety is monitored in real time, and alarms and responses are timely found and carried out on the safety risks and the loopholes.
2. The digital operation and maintenance management system according to claim 1, wherein: the data acquisition module further comprises the following sub-modules:
diversified data sources support: the data can be collected from various data sources of an application system, a database, a server log and sensor equipment in the enterprise;
and (3) real-time data acquisition: for operation and maintenance indexes which need to be monitored and responded in real time, the module can collect and process data at the same time of generating so as to make decisions and adjustments in time;
and (3) guaranteeing data quality: abnormal values, repeated values and missing value errors in the data can be detected and processed, so that the follow-up data analysis and prediction module can work based on high-quality data;
data conversion and normalization: the data in different data sources can be subjected to format conversion and unified into a standard format required by a system, and in addition, unified unit conversion and timestamp adjustment operation can be performed on the data for facilitating subsequent analysis and calculation;
extensibility and customizable: the user can expand the data acquisition module according to the requirement of the user so as to adapt to different data sources and acquisition requirements, meanwhile, the module also provides flexible configuration options, and the user can customize acquisition frequency, data fields and acquisition strategy parameters so as to meet specific operation and maintenance requirements.
3. The digital operation and maintenance management system according to claim 1, wherein: the data analysis and prediction module further comprises the following sub-modules:
data analysis algorithms and models: the method comprises statistical analysis, machine learning and data mining technologies, which are used for finding out the relevance, the trending and the abnormal value among the data, analyzing the historical data and the real-time data and extracting valuable information and insight from the historical data and the real-time data;
index evaluation and optimization suggestion: the method can automatically identify potential problems and bottlenecks according to the characteristics and the change trend of the data, generate a corresponding optimization scheme, and simultaneously support user-defined indexes and an evaluation method by the module so as to meet personalized operation requirements;
trend analysis and prediction: using techniques such as time sequence analysis, regression model, time sequence prediction, etc., to predict various indexes and variables for a long term and a short term, =help management personnel to make strategic decisions and resource allocation in advance, avoiding potential risks and problems;
real-time monitoring and alarming: the system can monitor key indexes in real time, generate corresponding alarm notification according to a preset threshold value, automatically trigger an alarm mechanism when the indexes reach or exceed the threshold value, timely notify related personnel and provide related diagnosis information and suggestions;
intelligent decision support: and an intuitive data visualization interface is provided, analysis results are displayed in the forms of charts, reports and the like, so that management staff can quickly understand the meaning and trend of data, the module also supports an intelligent decision support function, and an intelligent decision support system is provided based on the data analysis results and prediction suggestions.
4. The digital operation and maintenance management system according to claim 1, wherein: the operation and maintenance command center also comprises the following sub-modules:
real-time monitoring and status display: providing a real-time monitoring and state display function, and displaying each key index and system state in the form of an instrument panel, a chart or a map;
comprehensive reporting and analysis: providing comprehensive report and analysis functions, carrying out deep analysis and visual presentation on the acquired data, generating various customized reports, reports and charts, helping management personnel to comprehensively know the operation condition and evaluating the change and trend of each index;
instruction scheduling and response: the system has the functions of instruction scheduling and response, and a manager can issue instructions through a center to perform centralized scheduling and control on digital operation and maintenance processes;
intelligent decision support: the intelligent decision support function is supported, and an intelligent decision support system is provided through a built-in data analysis and prediction model;
security and risk management: the system has the functions of safety and risk management, monitors and identifies potential safety threats and risks in real time, and a center can provide real-time safety alarm and risk assessment reports through log analysis, anomaly detection and other technologies.
5. The digital operation and maintenance management system according to claim 1, wherein: the automatic operation and maintenance module further comprises the following sub-modules:
automated task scheduling: the method can support automatic task scheduling, automatically trigger and distribute each operation and maintenance task according to preset rules and strategies, reasonably arrange the execution sequence and time of the tasks according to priority, time planning and resource conditions, and automatically distribute and schedule the tasks;
fault diagnosis and automatic repair: faults in the system and the application can be identified and monitored, the fault cause can be rapidly positioned through an automatic fault diagnosis algorithm and a model, and automatic repair measures are provided;
automated configuration management: the system and the method can centrally manage and automatically configure various parameters and settings of the system and the application, have the functions of automatically generating, distributing and updating configuration files, and can automatically execute the change and adjustment of the configuration according to different environments and requirements;
automatic monitoring and alarming: the system can automatically monitor key indexes and system states, generate corresponding alarms and alarm notices according to preset thresholds, track and report health conditions and performance indexes of the system in real time, and automatically identify and process abnormal conditions;
automated log management: the system has an automatic log management function, can automatically collect, store and analyze log information of a system and an application, can find potential problems and anomalies through a log analysis technology, automatically alarms and processes, and simultaneously, the module also supports searching, inquiring and report generating of the log.
6. The digital operation and maintenance management system according to claim 1, wherein: the safety monitoring and early warning module further comprises the following sub-modules:
real-time safety monitoring: the system and the application can monitor various security indexes and events of the system and the application in real time, and can monitor and analyze login conditions, authority access, abnormal behaviors and network attack behaviors of users in real time;
intelligent security event analysis: the intelligent safety event analysis function is provided, safety events can be automatically identified and classified through analysis and excavation of the safety events, the hazard degree and the priority of the safety events can be judged according to historical data and modes, and corresponding response measures and suggestions are provided;
real-time alarm and alert notification: the module can generate real-time alarm and alarm notification according to preset safety rules and threshold values, and when a safety event or an abnormal condition occurs, the module can trigger the alarm in time and notify related personnel in various modes;
customizing a security policy: configuration of customized security policies is supported, and an administrator can flexibly define security rules, policies and thresholds according to actual requirements and business characteristics, and adjust and optimize the security rules, policies and thresholds at any time;
security reporting and auditing: security reports and audit records can be generated, the processing and results of security events can be recorded and tracked, and corresponding reports and audit records can be generated.
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