CN117493412A - Digital base operation management system - Google Patents

Abstract

The invention discloses a digital base operation management system in the technical field of operation management, which comprises: and a data acquisition module: the module is used for collecting various data inside and outside an enterprise, automatically acquiring and integrating the data, and ensuring the integrity and accuracy of the data. High efficiency: by automatic data acquisition and processing, the efficiency of enterprise operation management is greatly improved; accuracy: high-quality data analysis results are provided through data cleaning and preprocessing, so that human errors are reduced; flexibility: various statistical analysis and decision support methods are supported, and the method is suitable for the operation management requirements of enterprises of different types; visibility: through the visual display module, the user can intuitively understand and analyze the data and make more intelligent decisions; expansibility: the system architecture has good expansibility and can be customized and expanded according to the requirements of enterprises.

Description

Digital base operation management system

Technical Field

The invention relates to the technical field of operation management, in particular to a digital base operation management system.

Background

Operation management refers to planning, organizing, implementing and controlling operation processes, and is a generic term for various management works closely related to product production and service creation.

In modern enterprises, operation management and data analysis are of paramount importance, however, traditional operation management systems tend to be inefficient and lack flexibility, and the data analysis process is cumbersome and time-consuming, so the present application proposes a digital base operation management system.

Disclosure of Invention

The invention aims to provide a digital base operation management system, which can greatly improve the operation management efficiency of enterprises and provide reliable data basis for enterprise decision-making through automatic data acquisition, cleaning and analysis, and has the advantages of high efficiency, accuracy, flexibility, visibility and expansibility so as to improve the operation management efficiency and rapidly conduct data analysis, so that the problems that in modern enterprises, the operation management and the data analysis are vital in the background art, however, the traditional operation management system is low in efficiency and lacks flexibility, and the data analysis process is complicated and time-consuming are solved.

In order to achieve the above purpose, the present invention provides the following technical solutions: a digital base operation management system comprising:

and a data acquisition module: the module is used for collecting various data inside and outside an enterprise, automatically acquiring and integrating the data, and ensuring the integrity and accuracy of the data;

And a data storage module: the module is used for safely and stably storing the acquired data, and adopts a distributed storage technology to ensure the reliability and high availability of the data;

and a data processing module: the module is used for cleaning, screening, processing and converting the acquired data, and automatically cleaning and preprocessing the data according to the requirements of users so as to provide high-quality data for subsequent analysis;

analysis and decision module: the module is used for carrying out various analyses and decision support on the processed data, providing various statistical analyses, data mining and machine learning algorithms to find potential modes and trends in the data and providing reliable basis for decision making of enterprises;

visual display module: for presenting the analysis results to the user in intuitive chart and report forms, the module supports various data visualization techniques to help the user better understand and analyze the data.

As a further scheme of the invention: the data acquisition module further comprises the following sub-modules:

multi-source data acquisition: the system automatically acquires data from different channels by flexibly configuring acquisition rules and data source connection, so that the comprehensiveness and diversity of the data are ensured;

And (3) real-time data acquisition: the system timely acquires the latest data and processes and analyzes the latest data through real-time connection with a data source and a data stream processing technology so as to realize instant monitoring and decision support of operation activities;

heterogeneous data format support: the system has the supporting capability for multiple data formats, automatically identifies and analyzes various data types, and converts the data types into a standard format for subsequent processing and analysis;

and (3) detecting data quality: the module is provided with a data quality detection function, and automatically detects integrity, consistency, accuracy and timeliness indexes of data, marks and eliminates abnormal data so as to ensure the accuracy of subsequent analysis and decision making;

data enhancement and complement: the module has the capability of enhancing and complementing data, and the system predicts and estimates the missing data by using an algorithm and a model, so that the missing data is complemented, and a more comprehensive analysis result is provided;

security and privacy protection: the sensitive data is encrypted, and access control and authority management are implemented to ensure the security of the data.

As still further aspects of the invention: the data storage module further comprises the following sub-modules:

And (3) distributed storage: the data are stored on a plurality of nodes in a scattered way, so that the data loss caused by single-point faults is avoided, the module uses a replication and redundancy mechanism to ensure the backup and fault tolerance of the data, and the system is allowed to be automatically switched to a standby node when the nodes are in fault;

capacity expandability: the system supports horizontal expansion, namely, more storage nodes are added along with the increase of the data volume, so that the requirement of enterprise data storage is met, when the storage capacity reaches the upper limit, the system performs dynamic expansion, shutdown maintenance is not needed, and the continuity and usability of the data are ensured;

data compression and optimization: the data is compressed before being stored, so that the occupation of storage space is reduced, and in addition, the system performs data layout and index optimization aiming at a specific data access mode, so that the reading and writing speed and the inquiring efficiency of the data are improved;

and (3) multi-level data storage: according to the access frequency and priority of the data, the system stores the data in layers according to the heat level, hot data is stored on a high-performance storage medium to realize quick data access, and cold data is stored on a low-cost storage medium;

data backup and recovery: the system regularly performs data backup and stores the data in a plurality of places, so that the restorability of the data is ensured, and when the data is lost or the system fails, the system quickly restores the data and ensures the consistency and the integrity of the data;

Security and rights control: by access control lists and encryption techniques, it is ensured that only authorized users access specific data and the confidentiality of the data is protected, and additional data encryption and desensitization processes are performed on sensitive data.

As still further aspects of the invention: the data processing module further comprises the following sub-modules:

data cleaning and pretreatment: the data processing module has the capability of data cleaning and preprocessing, and the system improves the quality of data by identifying and processing missing values, abnormal values and repeated values;

data conversion and integration: through operations such as data cleaning, format conversion, data merging and the like, the system solves the isomerism of the data source and unifies the data structure and the characteristics;

data analysis and mining: the system applies various analysis algorithms and models, explores modes, associations and trends in the data, provides deep understanding and mining of the data, and provides insight into potential opportunities and problems in service operation;

real-time data processing: by combining the real-time data acquisition capability of the data acquisition module, the system can rapidly process and analyze real-time streaming data and generate corresponding insight results in real time so as to support real-time monitoring and decision making;

Visualization and reporting: the system displays the analysis result to the user in an intuitive and easy-to-understand mode through the chart, the instrument panel and the report, and helps the user to better understand the data and make decisions;

automation and intellectualization: the system realizes the high-efficiency execution of the data processing process through automatic workflow and task scheduling, combines machine learning and artificial intelligence technology, automatically identifies modes and rules in data, and provides intelligent analysis and recommendation functions.

As still further aspects of the invention: the analysis and decision module further comprises the following sub-modules:

data visualization and exploration: the user freely explores the data, carries out interactive analysis on the data, and knows the distribution, trend and association of the data in a visual mode to help the user acquire clear knowledge of service operation;

advanced analysis and mining: the user applies various algorithms and models to find hidden modes, rules and trends in the data, and assists a decision maker in carrying out deep analysis and strategy formulation on enterprise operation;

real-time monitoring and early warning: the system monitors real-time data through integration with the data acquisition and processing module, triggers a corresponding early warning mechanism, and timely discovers potential problems and abnormal conditions through setting early warning rules and index thresholds to help users make timely decisions;

Intelligent recommendation and optimization: based on analysis and pattern recognition of the data, the system automatically recognizes the optimization potential and bottleneck in the service, provides corresponding optimization schemes and decision suggestions, and assists the user to make a more intelligent decision;

synergy and collaboration: users share and discuss analysis results in the system, perform online collaboration and decision, and the system provides functions such as authority management and version control, so that the collaboration is ensured to be performed safely and orderly;

agile decisions and decision support: the system rapidly analyzes and processes a large amount of data, and generates instant report forms and insight results so as to help users make rapid and accurate decisions, and the system also provides decision models and visual indexes to help users make agile decisions.

As still further aspects of the invention: the visual display module further comprises the following sub-modules:

various charts and visualization modes: the user selects and customizes a proper visual mode according to the needs to display different types of data and analysis results;

interactive visualization: the module supports interactive visualization, and a user explores data and analysis results through interactive operation;

instrument panel and large screen display: the visual display module supports the creation of a dashboard and the configuration of a large screen display;

Geographic information and map visualization: the module supports geographic information and map visualization, and associates data and analysis results with geographic positions;

custom report and export functions: the visual display module allows a user to create a custom report and provides a export function;

real-time update and auto-refresh: the module realizes the functions of real-time updating and automatic refreshing, and ensures that the displayed data and analysis results are updated along with the real-time change of the data.

Compared with the prior art, the invention has the beneficial effects that:

high efficiency: by automatic data acquisition and processing, the efficiency of enterprise operation management is greatly improved;

accuracy: high-quality data analysis results are provided through data cleaning and preprocessing, so that human errors are reduced;

flexibility: various statistical analysis and decision support methods are supported, and the method is suitable for the operation management requirements of enterprises of different types;

visibility: through the visual display module, the user can intuitively understand and analyze the data and make more intelligent decisions;

expansibility: the system architecture has good expansibility and can be customized and expanded according to the requirements of enterprises.

Drawings

FIG. 1 is a schematic diagram of a system architecture of a digital base operation management system according to the present invention;

Fig. 2 is a schematic system structure diagram of a data acquisition module in the digital base operation management system of the present invention;

FIG. 3 is a schematic diagram of a system architecture of a data storage module in the digital base operation management system according to the present invention;

FIG. 4 is a schematic diagram of a system architecture of a data processing module in the digital base operation management system according to the present invention;

FIG. 5 is a schematic diagram of a system architecture of an analysis and decision module in the digital base operation management system according to the present invention;

fig. 6 is a schematic system structure diagram of a visual display module in the digital base operation management system of 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 base operation management system includes:

and a data acquisition module: the module is used for collecting various data inside and outside an enterprise, automatically acquiring and integrating the data, and ensuring the integrity and accuracy of the data;

And a data storage module: the module is used for safely and stably storing the acquired data, and adopts a distributed storage technology to ensure the reliability and high availability of the data;

and a data processing module: the module is used for cleaning, screening, processing and converting the acquired data, and automatically cleaning and preprocessing the data according to the requirements of users so as to provide high-quality data for subsequent analysis;

analysis and decision module: the module is used for carrying out various analyses and decision support on the processed data, providing various statistical analyses, data mining and machine learning algorithms to find potential modes and trends in the data and providing reliable basis for decision making of enterprises;

visual display module: for presenting the analysis results to the user in intuitive chart and report forms, the module supports various data visualization techniques to help the user better understand and analyze the data.

Preferably:

data acquisition module

The data acquisition module is one of the key components in the digital base operation management system, and its function is to collect various data inside and outside the enterprise to provide comprehensive and accurate data support. The module comprises the following submodules:

a. Multisource data acquisition

The module supports the collection of data from a plurality of sources including, but not limited to, in-enterprise systems, sensor data, social media data, market research data, and the like. Through flexible configuration of acquisition rules and data source connection, the system can automatically acquire data from different channels, and the comprehensiveness and diversity of the data are ensured.

b. Real-time data acquisition

In order to meet the enterprise demand with high real-time requirements, the module supports real-time data acquisition. By means of real-time connection with a data source and a data stream processing technology, the system can timely acquire the latest data and process and analyze the latest data so as to realize instant monitoring and decision support of operation activities.

c. Heterogeneous data format support

There are a variety of different data formats in enterprises, such as structured data, semi-structured data, unstructured data, and the like. The data acquisition module has the supporting capability for various data formats, can automatically identify and analyze various data types, and converts the data types into a standard format for subsequent processing and analysis.

d. Data quality detection

During the data acquisition process, the data quality may be degraded due to interference of various factors. In order to ensure the accuracy and reliability of the data, the module is provided with a data quality detection function. The method can automatically detect indexes such as integrity, consistency, accuracy, timeliness and the like of the data, and mark and exclude abnormal data so as to ensure the accuracy of subsequent analysis and decision.

e. Data enhancement and completion

During the data acquisition process, there may be cases where the data is missing or incomplete. In order to provide more comprehensive data support, the module is provided with data enhancement and complementation capabilities. By using algorithms and models, the system can predict and estimate missing data, thereby complementing the missing data and providing a more comprehensive analysis result.

f. Security and privacy protection

In view of the importance of data security and privacy, data acquisition modules strictly adhere to relevant regulations and standards, and various security measures are taken to protect the confidentiality and integrity of data. The sensitive data is encrypted, and access control and authority management are implemented to ensure the security of the data.

Through the functions and the characteristics of abundant subfunctions, the data acquisition module can efficiently and comprehensively acquire various data, ensure the accuracy and the reliability of the data and provide powerful support for subsequent data processing and analysis.

Data storage module

The data storage module is another key component in the digital base operation management system, and is used for safely and stably storing the collected data and providing high availability and expandability. The module also comprises the following sub-modules:

a. Distributed storage

In order to improve the reliability and availability of data, the data storage modules employ distributed storage techniques. Data is stored in a scattered manner on a plurality of nodes, and data loss caused by single-point faults is avoided. The module uses replication and redundancy mechanisms to ensure backup and fault tolerance of the data, allowing the system to automatically switch to a standby node when the node fails.

b. Capacity expandability

The scale of enterprise data is often large, so the data storage module has good expandability. The system supports horizontal expansion, namely more storage nodes can be added along with the increase of the data volume, so that the requirement of enterprise data storage is met. When the storage capacity reaches the upper limit, the system can be dynamically expanded without shutdown maintenance, and the continuity and availability of data are ensured.

c. Data compression and optimization

In order to save the storage space and improve the data reading and writing efficiency, the data storage module adopts a data compression and optimization technology. The data is compressed before being stored, so that the occupation of storage space is reduced. In addition, aiming at a specific data access mode, the system performs data layout and index optimization, so that the data reading and writing speed and the query efficiency are improved.

d. Multi-level data storage

The data storage module supports a multi-level data storage architecture. According to the access frequency and the priority of the data, the system can store the data in a layered manner according to the heat level. Thermal data is stored on high performance storage media to enable fast data access; whereas cold data is stored on a low cost storage medium to save storage costs.

e. Data backup and restore

The data storage module has data backup and recovery functions to cope with unexpected data loss or system failure. The system regularly performs data backup and stores the data in a plurality of places, so that the restorability of the data is ensured. When data is lost or system faults occur, the system can quickly recover the data and ensure the consistency and the integrity of the data.

f. Security and rights control

Based on the user roles and permission levels, the data storage module provides a flexible security mechanism. By access control lists and encryption techniques, it is ensured that only authorized users can access specific data and that confidentiality of the data is protected. For sensitive data, additional data encryption and desensitization processing can be performed, so that the security of the data is further improved.

Through the abundant functions and characteristics of the submodules, the data storage module can provide a reliable, high-availability and high-expansion data storage solution, ensure the safety and stability of enterprise data and support the subsequent data processing and analysis requirements.

Data processing module

The data processing module is one of key components in the digital base operation management system and is responsible for processing, analyzing and converting the acquired data to generate valuable insight and decision support. The data processing module further comprises the following sub-modules:

a. data cleaning and preprocessing

In the data acquisition process, the problems of data missing, abnormal values, noise and the like may occur, so that the data processing module has the capabilities of data cleaning and preprocessing. By identifying and processing missing values, outliers, duplicate values, etc., the system is able to improve the quality of the data and prepare the data for further analysis.

b. Data conversion and integration

The data processing module supports data conversion and integration, and integrates data of a plurality of data sources into a unified data set. Through operations such as data cleaning, format conversion, data merging and the like, the system can solve the isomerism of a data source, unify data structures and characteristics and provide consistent and comparable data for subsequent analysis.

c. Data analysis and mining

The data processing module provides rich data analysis and mining functions including statistical analysis, machine learning, data mining, and the like. The system can apply various analysis algorithms and models, explore patterns, associations, and trends in the data, provide insight into the data and mining, and thereby insight into potential opportunities and problems in business operations.

d. Real-time data processing

In order to meet the enterprise demand with high real-time requirements, the data processing module supports real-time data processing. By combining the real-time data acquisition capability of the data acquisition module, the system can rapidly process and analyze real-time streaming data and generate corresponding insight results in real time so as to support real-time monitoring and decision making.

e. Visualization and report

In order to better show the data analysis results and insight, the data processing module has the capabilities of data visualization and report generation. The system displays the analysis result to the user in a visual and easy-to-understand mode through modes such as charts, dashboards, reports and the like, and helps the user to better understand data and make decisions.

f. Automation and intellectualization

The data processing module can automatically and intelligently process data, reduce manual intervention and accelerate an analysis process. The system can realize the efficient execution of the data processing process by automating the workflow and task scheduling. In addition, the system can automatically recognize patterns and rules in the data and provide intelligent analysis and recommendation functions in combination with machine learning and artificial intelligence techniques.

Through the abundant functions and characteristics of the submodules, the data processing module can clean, convert, analyze and mine the acquired data, and provide valuable insight and decision support for enterprises. Meanwhile, the module has the capability of real-time processing and intelligence, and the efficiency and quality of data processing are improved.

Analysis and decision module

The analysis and decision module is a core component in the digital base operation management system and is used for processing and analyzing data and providing insight and decision support. The analysis and decision module further comprises the following sub-modules:

a. data visualization and exploration

The analysis and decision module provides visual data visualization function, and displays data results in the form of charts, dashboards and the like. The user can freely explore the data, interactively analyze the data, and know the distribution, trend and association of the data in a visual mode so as to help the user to acquire clear knowledge of service operation.

b. Advanced analysis and mining

The module supports advanced data analysis and mining functions including techniques such as statistical analysis, predictive modeling, machine learning, and data mining. The user can apply various algorithms and models to find hidden modes, rules and trends in the data, and assist decision makers in carrying out in-depth analysis and policy formulation on enterprise operations.

c. Real-time monitoring and early warning

The analysis and decision module has the functions of real-time monitoring and early warning. By integrating the system with the data acquisition and processing module, the system can monitor the real-time data and trigger a corresponding early warning mechanism. By setting the early warning rules and the index threshold values, the system can timely find potential problems and abnormal conditions and help users to make timely decisions.

d. Intelligent recommendation and optimization

The module adopts intelligent algorithm and technology to provide intelligent recommendation and optimization suggestion for users. Based on analysis and pattern recognition of the data, the system can automatically recognize the optimization potential and bottleneck in the service, and provide corresponding optimization schemes and decision suggestions to assist users in making more intelligent decisions.

e. Collaboration and cooperation

The analysis and decision module supports collaboration and collaboration between multiple users. Users can share and discuss analysis results in the system, making online collaboration and decisions. The system provides the functions of authority management, version control and the like, and ensures the safe and orderly progress of collaboration.

f. Agile decision and decision support

The analysis and decision module provides decision support for real-time and agility. The system can rapidly analyze and process a large amount of data and generate instant reports and insight results so as to help users make rapid and accurate decisions. The system also provides a decision model and visual indexes to assist the user in making agile decisions.

Through the abundant functions and characteristics of the submodules, the analysis and decision-making module can perform visual analysis, advanced analysis and mining on data, provide real-time monitoring and intelligent recommendation, support multiuser collaborative decision-making, and provide agile decision-making and decision-making support. These functions and features are all helpful to improve the accuracy and efficiency of business decisions and promote the sustainable development of enterprises.

Visual display module

The visual display module is an important component in the digital base operation management system and is used for presenting data and analysis results to a user in an intuitive and easy-to-understand manner. The visual display module further comprises the following sub-modules:

a. multiple charts and visualization modes

The visual presentation module provides a variety of charts and visualization means including line charts, bar charts, pie charts, scatter charts, thermodynamic diagrams, and the like. The user can select and customize the appropriate visualization to show different types of data and analysis results as desired.

b. Interactive visualization

The module supports interactive visualization through which a user can explore data and analyze results. For example, the user may dynamically adjust charts and visualizations through selection, screening, and zooming operations to provide a more thorough understanding of data and trends.

c. Instrument panel and large screen display

The visual presentation module supports creation of dashboards and configuration of large screen presentations. The user may combine multiple charts and visualization components into a dashboard to build a personalized presentation interface. Meanwhile, a user can display the instrument panel on a large screen, so that real-time display and monitoring of data are realized.

d. Geographic information and map visualization

The module supports geographic information and map visualization, associating data and analysis results with geographic locations. The user can display the geographic distribution and related information of the data in a map, a hot spot diagram and other modes, so that the user is helped to find geographic modes and trends, and geographic decision and business planning are supported.

e. Custom report and export functions

The visual presentation module allows a user to create a custom report and provides export functionality. The user can construct personalized report layout and style according to the needs, and the data and analysis result are arranged into a report form. In addition, the user can export the report form into common file formats such as PDF, exce l and the like, so that the report form is convenient to share and use with other people.

f. Real-time update and auto-refresh

The module realizes the functions of real-time updating and automatic refreshing, and ensures that the displayed data and analysis results are updated along with the real-time change of the data. The user can set the refresh period, so that the visual interface can be automatically updated, and the real-time property and accuracy of the data are maintained.

Through the abundant functions and characteristics of the submodules, the visual display module can display data and analysis results to users in a visual and easily understood mode in various chart modes, interactive visual modes, geographic information display modes and the like. Users can customize reports and export results according to the needs, realize real-time update and automatic refresh of data, and provide timely and accurate data display support. These functions and features help users to better understand data, identify patterns and trends, and make decisions based on data, pushing optimization and development of business operations.

Data acquisition module and data acquisition method

The data acquisition module plays a key role in the digital base operation management system and is responsible for acquiring and processing data from different data sources. The following is an explanation of the data acquisition method of the data acquisition module in the present invention:

a. batch import

The method is to collect data by means of importing data files in batches. The user can upload data files (such as CSV, exce l and the like) to the system, and then the data acquisition module can read and analyze the data in the files, and convert the data into a data format which can be managed by the system for subsequent processing and analysis.

b. Database connection

The data acquisition module supports establishing connection with various databases to acquire data in the databases. The user can configure the database connection parameters, including the information of database type, host address, port number, user name, password, etc., and automatically extract and load the required data through the data acquisition module.

API interface call

Part of the data sources may provide an API interface, and the user may use the data acquisition module to call the API, acquire data and process the data by configuring relevant API parameters and authentication information. This approach is applicable to obtaining data from third party platforms or online services.

d. Web crawler

In some cases, web crawler technology may be used if the data is not directly available in the manner described above. The data collection module may define crawler rules that simulate a user accessing a web page and extracting the required data. And (3) capturing data from the webpage by analyzing the webpage contents such as HTML, XML and the like, and carrying out subsequent processing and analysis.

e. Real-time streaming data

The data acquisition module may also process real-time streaming data, such as sensor data, real-time transaction data, and the like. The data acquisition module can receive and process the data stream in real time by integrating with the data stream pipeline or the message queue, and timely transmit the data to the subsequent processing flow.

Through the different data acquisition methods, the data acquisition module can acquire and process data from a plurality of data sources such as batch import, database connection, API interface call, web crawlers and real-time streaming data. The design can meet the requirements of various data acquisition, ensure that the system can acquire the required data timely and accurately, and provide a reliable data basis for subsequent data processing and analysis.

Data processing method

The data processing is a key link in the digital base operation management system, and by processing and converting the collected data, useful information is extracted, and a data structure for analysis and decision is generated. The following is a description of the method of data processing in the present invention:

a. data cleansing

Data cleansing is the first step in data processing to detect and correct errors, inconsistencies, or deletions in data. This method includes, but is not limited to, removing duplicate data, repairing format errors, filling missing data, resolving outliers, and the like. Through data cleaning, the accuracy and reliability of subsequent analysis and decision making can be ensured.

b. Data conversion

Data conversion is the processing of raw data according to specific rules and logic to obtain a more useful and understandable form of data. For example, the date and time are converted into a unified format, the text data is encoded or counted, and the data normalization operation is performed.

c. Data integration

Data integration is the merging and integration of data from different data sources to obtain a complete data set. This approach is useful for integrating data from multiple data sources, and can link and aggregate related data to form a more comprehensive and comprehensive data set.

d. Feature engineering

Feature engineering is the further processing of raw data to extract more meaningful and efficient features for subsequent analysis and modeling. The method comprises the technologies of feature selection, feature transformation, feature construction and the like so as to improve the expression capability and the characterization capability of data.

e. Data protocol

Data reduction is a reduction in the amount of data by compression, aggregation, etc. in order to be more efficient in storage and computation. The method is suitable for processing large-scale data sets, and can reduce storage space and improve data processing efficiency through data protocol.

f. Data visualization

The final step in data processing is to visualize the processed data to provide intuitive and valuable information. The data is converted into a form that is easy to understand and interpret by using charts, graphs, and visualization tools, helping users find patterns and trends in the data.

Through the different data processing methods, the digital base operation management system can carry out cleaning, conversion, integration, feature engineering, protocol, visualization and other processing on the collected data, and provides high-quality and useful data results. Such data processing methods can provide accurate, comprehensive data analysis and decision support for users, helping them find value and optimize operation.

Working logic of analysis and decision module

The analysis and decision module is a core module in the digital base operation management system and is responsible for analyzing the processed data and providing decision support. The following is an explanation of the working logic of the analysis and decision module in the present invention:

a. data analysis

The analysis and decision module performs various analysis operations on the processed data, including statistical analysis, trend analysis, association analysis, cluster analysis, and the like. The analysis methods can reveal hidden modes, rules and trends in the data, thereby providing deep insight for users regarding services and operating conditions.

b. Visual display

The analysis and decision module presents the analysis results to the user through a data visualization technique. By using charts, graphs and visualization tools, analysis results are displayed in an intuitive and understandable manner, so that users are helped to better understand data and find key information and insight therein.

c. Model creation and verification

The analysis and decision module can build a model according to the requirements of users and service scenes. These models may be machine learning models, predictive models, optimization models, and the like. The analysis and decision module can also verify and evaluate the established model, so that the accuracy and reliability of the model are ensured.

d. Decision support

According to the analysis and the established model, the analysis and decision module provides targeted decision support. By applying in-depth analysis and models to the data, the module can provide data-based decision suggestions to the user, helping them to make more intelligent and efficient decision strategies.

e. Real-time monitoring

The analysis and decision module also has the capability of real-time monitoring. The system can track the change of data and the change of indexes in real time and provide real-time alarm and early warning functions. Thus, the user can timely find potential problems and anomalies and take corresponding actions.

Through the working logic, the analysis and decision module can tightly combine data analysis and decision support, and provide comprehensive, accurate and real-time data analysis results and decision suggestions for users. The method not only helps users to understand business and operation conditions deeply, but also helps the users to make more valuable and remote decisions, and improves operation efficiency and performance.

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 base operation management system is characterized in that: comprising the following steps:

and a data acquisition module: the module is used for collecting various data inside and outside an enterprise, automatically acquiring and integrating the data, and ensuring the integrity and accuracy of the data;

and a data storage module: the module is used for safely and stably storing the acquired data, and adopts a distributed storage technology to ensure the reliability and high availability of the data;

and a data processing module: the module is used for cleaning, screening, processing and converting the acquired data, and automatically cleaning and preprocessing the data according to the requirements of users so as to provide high-quality data for subsequent analysis;

analysis and decision module: the module is used for carrying out various analyses and decision support on the processed data, providing various statistical analyses, data mining and machine learning algorithms to find potential modes and trends in the data and providing reliable basis for decision making of enterprises;

visual display module: for presenting the analysis results to the user in intuitive chart and report forms, the module supports various data visualization techniques to help the user better understand and analyze the data.

2. The digital base operation management system according to claim 1, wherein: the data acquisition module further comprises the following sub-modules:

multi-source data acquisition: the system automatically acquires data from different channels by flexibly configuring acquisition rules and data source connection, so that the comprehensiveness and diversity of the data are ensured;

and (3) real-time data acquisition: the system timely acquires the latest data and processes and analyzes the latest data through real-time connection with a data source and a data stream processing technology so as to realize instant monitoring and decision support of operation activities;

heterogeneous data format support: the system has the supporting capability for multiple data formats, automatically identifies and analyzes various data types, and converts the data types into a standard format for subsequent processing and analysis;

and (3) detecting data quality: the module is provided with a data quality detection function, and automatically detects integrity, consistency, accuracy and timeliness indexes of data, marks and eliminates abnormal data so as to ensure the accuracy of subsequent analysis and decision making;

data enhancement and complement: the module has the capability of enhancing and complementing data, and the system predicts and estimates the missing data by using an algorithm and a model, so that the missing data is complemented, and a more comprehensive analysis result is provided;

Security and privacy protection: the sensitive data is encrypted, and access control and authority management are implemented to ensure the security of the data.

3. The digital base operation management system according to claim 1, wherein: the data storage module further comprises the following sub-modules:

and (3) distributed storage: the data are stored on a plurality of nodes in a scattered way, so that the data loss caused by single-point faults is avoided, the module uses a replication and redundancy mechanism to ensure the backup and fault tolerance of the data, and the system is allowed to be automatically switched to a standby node when the nodes are in fault;

capacity expandability: the system supports horizontal expansion, namely, more storage nodes are added along with the increase of the data volume, so that the requirement of enterprise data storage is met, when the storage capacity reaches the upper limit, the system performs dynamic expansion, shutdown maintenance is not needed, and the continuity and usability of the data are ensured;

data compression and optimization: the data is compressed before being stored, so that the occupation of storage space is reduced, and in addition, the system performs data layout and index optimization aiming at a specific data access mode, so that the reading and writing speed and the inquiring efficiency of the data are improved;

and (3) multi-level data storage: according to the access frequency and priority of the data, the system stores the data in layers according to the heat level, hot data is stored on a high-performance storage medium to realize quick data access, and cold data is stored on a low-cost storage medium;

Data backup and recovery: the system regularly performs data backup and stores the data in a plurality of places, so that the restorability of the data is ensured, and when the data is lost or the system fails, the system quickly restores the data and ensures the consistency and the integrity of the data;

security and rights control: by access control lists and encryption techniques, it is ensured that only authorized users access specific data and the confidentiality of the data is protected, and additional data encryption and desensitization processes are performed on sensitive data.

4. The digital base operation management system according to claim 1, wherein: the data processing module further comprises the following sub-modules:

data cleaning and pretreatment: the data processing module has the capability of data cleaning and preprocessing, and the system improves the quality of data by identifying and processing missing values, abnormal values and repeated values;

data conversion and integration: through operations such as data cleaning, format conversion, data merging and the like, the system solves the isomerism of the data source and unifies the data structure and the characteristics;

data analysis and mining: the system applies various analysis algorithms and models, explores modes, associations and trends in the data, provides deep understanding and mining of the data, and provides insight into potential opportunities and problems in service operation;

Real-time data processing: by combining the real-time data acquisition capability of the data acquisition module, the system can rapidly process and analyze real-time streaming data and generate corresponding insight results in real time so as to support real-time monitoring and decision making;

visualization and reporting: the system displays the analysis result to the user in an intuitive and easy-to-understand mode through the chart, the instrument panel and the report, and helps the user to better understand the data and make decisions;

automation and intellectualization: the system realizes the high-efficiency execution of the data processing process through automatic workflow and task scheduling, combines machine learning and artificial intelligence technology, automatically identifies modes and rules in data, and provides intelligent analysis and recommendation functions.

5. The digital base operation management system according to claim 1, wherein: the analysis and decision module further comprises the following sub-modules:

data visualization and exploration: the user freely explores the data, carries out interactive analysis on the data, and knows the distribution, trend and association of the data in a visual mode to help the user acquire clear knowledge of service operation;

advanced analysis and mining: the user applies various algorithms and models to find hidden modes, rules and trends in the data, and assists a decision maker in carrying out deep analysis and strategy formulation on enterprise operation;

Real-time monitoring and early warning: the system monitors real-time data through integration with the data acquisition and processing module, triggers a corresponding early warning mechanism, and timely discovers potential problems and abnormal conditions through setting early warning rules and index thresholds to help users make timely decisions;

intelligent recommendation and optimization: based on analysis and pattern recognition of the data, the system automatically recognizes the optimization potential and bottleneck in the service, provides corresponding optimization schemes and decision suggestions, and assists the user to make a more intelligent decision;

synergy and collaboration: users share and discuss analysis results in the system, perform online collaboration and decision, and the system provides functions such as authority management and version control, so that the collaboration is ensured to be performed safely and orderly;

agile decisions and decision support: the system rapidly analyzes and processes a large amount of data, and generates instant report forms and insight results so as to help users make rapid and accurate decisions, and the system also provides decision models and visual indexes to help users make agile decisions.

6. The digital base operation management system according to claim 1, wherein: the visual display module further comprises the following sub-modules:

Various charts and visualization modes: the user selects and customizes a proper visual mode according to the needs to display different types of data and analysis results;

interactive visualization: the module supports interactive visualization, and a user explores data and analysis results through interactive operation;

instrument panel and large screen display: the visual display module supports the creation of a dashboard and the configuration of a large screen display;

geographic information and map visualization: the module supports geographic information and map visualization, and associates data and analysis results with geographic positions;

custom report and export functions: the visual display module allows a user to create a custom report and provides a export function;

real-time update and auto-refresh: the module realizes the functions of real-time updating and automatic refreshing, and ensures that the displayed data and analysis results are updated along with the real-time change of the data.