Data processing method and cloud service system

Abstract

The invention relates to the field of data processing, in particular to a data processing method which comprises the steps of data collection and classification, data preprocessing, data analysis and mining, data storage and management and data visualization and interaction. A cloud service system comprises a system architecture, a function module and a security mechanism. Through the data processing method and the cloud service system, large-scale data can be efficiently processed, the data processing speed is increased, and the resource utilization rate is increased; through an advanced data analysis and mining technology, useful information and knowledge in the data can be extracted, and support is provided for decision making; a distributed storage technology and a database management system are adopted, so that the security, reliability and accessibility of data are ensured; and through a data visualization technology and an interaction function, a user can conveniently carry out data query, analysis and decision making.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a data processing method and a cloud service system. Background Art

[0002] With the rapid development of information technology, the amount of data has exploded, and how to efficiently process and manage this data has become an urgent problem to be solved. At present, when facing large-scale data, existing data processing methods and cloud service systems often have problems such as slow processing speed, low resource utilization, and insufficient data security.

[0003] Therefore, those skilled in the art provide a data processing method and a cloud service system to solve the problems raised in the above background technology. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a data processing method and a cloud service system.

[0005] A data processing method, comprising:

[0006] Data collection and classification: collect data and classify the collected data;

[0007] Data preprocessing: preprocess the classified data;

[0008] Data analysis and mining: Use advanced data analysis and mining techniques to conduct in-depth analysis and mining of pre-processed data, extract useful information and knowledge from the data, and provide support for decision-making;

[0009] Data storage and management: Distributed storage technology and database management system are used to store and manage analyzed data to ensure data security, reliability and accessibility;

[0010] Data visualization and interaction: Through data visualization technology, the analyzed data is presented to users in an intuitive and easy-to-understand form, providing data interaction functions to facilitate users to query, analyze and make decisions on data.

[0011] Preferably, the data collection channels include sensors, web crawlers and user uploads, the sensor data are divided into temperature data, humidity data and pressure data, and the web crawler data are divided into news data, social data and e-commerce data.

[0012] Preferably, the data is classified and stored according to its type, source and time.

[0013] Preferably, the data preprocessing includes data cleaning, denoising and normalization operations to improve the quality and accuracy of the data.

[0014] Preferably, the method for removing noise from the data includes mean filtering and median filtering, and the method for converting the data into a unified format and range is standardization and normalization.

[0015] Preferably, the machine learning algorithm and data mining algorithm are used to classify, cluster and predict the data, and the association rule mining and sequence pattern mining techniques are used to mine the potential relationships and patterns in the data.

[0016] Preferably, Hadoop distributed file system and Cassandra database are used to store data, and data backup, data recovery and data encryption technologies are used to manage data.

[0017] Preferably, the visual display methods of the data include charts, maps, and dashboards; the data interaction methods include providing data filtering, sorting, and searching.

[0018] A cloud service system, comprising

[0019] System architecture: The cloud service system of the present invention adopts a layered architecture design, including infrastructure layer, platform layer, application layer and user layer;

[0020] Functional modules: The cloud service system includes data collection and classification module, data preprocessing module, data analysis and mining module, data storage and management module, and data visualization and interaction module;

[0021] Security mechanism: In order to ensure the security of the cloud service system, the present invention adopts a variety of security mechanisms, including identity authentication, access control, data encryption, security audit, etc. The user's identity is authenticated and authorized to ensure that only legitimate users can access the cloud service system; data is encrypted for storage and transmission to prevent data leakage; the system operation is audited to detect and handle security incidents in a timely manner.

[0022] Preferably, the infrastructure layer provides computing, storage, network and other resources; the platform layer provides data processing, analysis, mining and other services; the application layer provides various applications and solutions; and the user layer provides an interface for users to access and use the cloud service system.

[0023] Preferably, the data collection and classification module, the data preprocessing module, the data analysis and mining module, the data storage and management module, and the data visualization and interaction module interact and collaborate through interfaces to jointly complete the tasks of data processing and service provision.

[0024] Technical effects and advantages of the present invention:

[0025] 1. The data processing method and cloud service system of the present invention can efficiently process large-scale data and improve data processing speed and resource utilization.

[0026] 2. Through advanced data analysis and mining techniques, useful information and knowledge can be extracted from the data to provide support for decision-making.

[0027] 3. Use distributed storage technology and database management system to ensure data security, reliability and accessibility.

[0028] 4. Through data visualization technology and interactive functions, it is convenient for users to query, analyze and make decisions on data. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of a cloud service system provided by an embodiment of the present application;

[0030] Figure 2 It is a schematic diagram of a data processing method provided in an embodiment of the present application;

[0031] Figure 3 It is a schematic diagram of a framework for data analysis and mining in a data processing method provided in an embodiment of the present application;

[0032] Figure 4 It is a schematic diagram of a framework for data storage and management in a data processing method provided in an embodiment of the present application; DETAILED DESCRIPTION

[0033] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0034] Example 1

[0035] See also Figures 1 to 4 In this embodiment, a data processing method and a cloud service system are provided, including

[0036] A data processing method, comprising:

[0037] Data collection and classification: collect data and classify the collected data;

[0038] Data preprocessing: preprocessing the classified data, including data cleaning, denoising and normalization operations, to improve the quality and accuracy of the data;

[0039] Data analysis and mining: Use advanced data analysis and mining techniques to conduct in-depth analysis and mining of pre-processed data, extract useful information and knowledge from the data, and provide support for decision-making;

[0040] Data storage and management: Distributed storage technology and database management system are used to store and manage the analyzed data;

[0041] Data visualization and interaction: Through data visualization technology, the analyzed data is presented to users in an intuitive and easy-to-understand form, providing data interaction functions to facilitate users to query, analyze and make decisions on data.

[0042] A cloud service system, comprising

[0043] System architecture: The cloud service system of the present invention adopts a layered architecture design, including infrastructure layer, platform layer, application layer and user layer;

[0044] Functional modules: The cloud service system includes data collection and classification module, data preprocessing module, data analysis and mining module, data storage and management module, and data visualization and interaction module;

[0045] Security Mechanism: In order to ensure the security of the cloud service system, the present invention adopts a variety of security mechanisms.

[0046] Example 2

[0047] Data collection and classification: Collect temperature, humidity, pressure and other data through sensors, and collect news, social, e-commerce and other data through web crawlers; classify and store the collected data, store sensor data in the Hadoop distributed file system, and store web crawler data in the Cassandra database.

[0048] Data preprocessing: The sensor data is preprocessed using mean filtering and normalization methods to remove noise and outliers, and the data is converted into a unified format and range; the web crawler data is preprocessed using median filtering and normalization methods to remove noise and outliers, and the data is converted into a unified format and range.

[0049] Data analysis and mining: Use machine learning algorithms to classify and predict sensor data, analyze the changing trends of temperature, humidity, pressure and other data, and provide support for environmental monitoring and control. Use data mining algorithms to mine association rules and sequence patterns on web crawler data, analyze the potential relationships and patterns in news, social, e-commerce and other data, and provide support for market analysis and marketing decisions.

[0050] Data storage and management: Use Hadoop distributed file system and Cassandra database to store and manage analyzed data; use data backup and data recovery technology to ensure data security and reliability; use data encryption technology to encrypt storage and transmission of sensitive data to prevent data leakage.

[0051] Data visualization and interaction: Display the analysis results of sensor data and web crawler data through visualization methods such as charts and maps. Provide interactive functions such as data filtering, sorting, and searching to facilitate users to query and analyze data.

[0052] Example 3

[0053] Cloud service system architecture: The cloud service system of this embodiment adopts a layered architecture design, including infrastructure layer, platform layer, application layer and user layer. The infrastructure layer provides computing, storage, network and other resources, and uses cloud computing technology to achieve dynamic allocation and management of resources; the platform layer provides data processing, analysis, mining and other services, and uses big data technology and machine learning algorithms to achieve efficient data processing and analysis; the application layer provides various applications and solutions, such as environmental monitoring systems, market analysis systems, intelligent transportation systems, etc. The user layer provides users with interfaces to access and use the cloud service system, and uses Web interfaces and mobile applications to achieve user-system interaction.

[0054] Functional module implementation: The various functional modules of the cloud service system interact and collaborate through interfaces to jointly complete the tasks of data processing and service provision; the data acquisition module uses sensors, web crawlers and other technologies to realize data collection and transmission; the data preprocessing module uses data cleaning, denoising, normalization and other technologies to realize data preprocessing; the data analysis and mining module uses machine learning algorithms, data mining algorithms and other technologies to realize data analysis and mining; the data storage and management module uses distributed storage technology and database management system to realize data storage and management; the data visualization and interaction module uses data visualization technology and interactive functions to realize data display and user interaction.

[0055] Security mechanism implementation: To ensure the security of the cloud service system, this embodiment adopts a variety of security mechanisms, including identity authentication, access control, data encryption, security audit, etc.; authenticate and authorize the user's identity to ensure that only legitimate users can access the cloud service system; encrypt data storage and transmission to prevent data leakage. Perform security audits on system operations to promptly discover and handle security incidents.

[0056] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field and related fields without creative work should fall within the scope of protection of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention are implemented according to the conventional means in the field unless otherwise specified and limited.

Claims

1. A data processing method, characterized in that: include Data collection and classification: collect data and classify the collected data; Data preprocessing: preprocess the classified data; Data analysis and mining: Use advanced data analysis and mining techniques to conduct in-depth analysis and mining of pre-processed data, extract useful information and knowledge from the data, and provide support for decision-making; Data storage and management: Distributed storage technology and database management system are used to store and manage the analyzed data; Data visualization and interaction: Through data visualization technology, the analyzed data is presented to users in an intuitive and easy-to-understand form, providing data interaction functions to facilitate users to query, analyze and make decisions on data.

2. A data processing method according to claim 1, characterized in that: The data collection channels include sensors, web crawlers and user uploads. The sensor data is divided into temperature data, humidity data and pressure data. The web crawler data is divided into news data, social data and e-commerce data. The noise removal method in the data includes mean filtering and median filtering. The data is converted into a unified format and range by standardization and normalization.

3. A data processing method according to claim 1, characterized in that: The data preprocessing includes data cleaning, denoising and normalization operations to improve the quality and accuracy of the data, and the noise removal method in the data includes mean filtering and median filtering. The data is converted into a unified format and range method through standardization and normalization.

4. A data processing method according to claim 1, characterized in that: The method uses machine learning algorithms and data mining algorithms to classify, cluster, and predict data, and uses association rule mining and sequence pattern mining techniques to mine potential relationships and patterns in the data.

5. A data processing method according to claim 1, characterized in that: Hadoop distributed file system and Cassandra database are used to store data, and data backup, data recovery and data encryption technologies are used to manage data.

6. A data processing method according to claim 1, characterized in that: The data visualization display methods include charts, maps, and dashboards; the data interaction methods include providing data filtering, sorting, and searching.

7. A cloud service system, characterized in that: include System architecture: The cloud service system of the present invention adopts a layered architecture design, including infrastructure layer, platform layer, application layer and user layer; Functional modules: The cloud service system includes data collection and classification module, data preprocessing module, data analysis and mining module, data storage and management module, and data visualization and interaction module; Security mechanism: Use identity authentication, access control, data encryption, and security audit security mechanisms to authenticate and authorize users to ensure that only legitimate users can access the cloud service system; encrypt data for storage and transmission to prevent data leakage; Conduct security audits on system operations to promptly detect and handle security incidents.

8. A cloud service system according to claim 7, characterized in that: The infrastructure layer provides computing, storage, network and other resources; the platform layer provides data processing, analysis, mining and other services; The application layer provides various applications and solutions; the user layer provides an interface for users to access and use the cloud service system.

9. A cloud service system according to claim 7, characterized in that: The functional modules such as the data collection and classification module, the data preprocessing module, the data analysis and mining module, the data storage and management module, the data visualization and interaction module interact and collaborate through interfaces to jointly complete the tasks of data processing and service provision.

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