Enterprise negative load analysis management system based on block chain technology

Abstract

The invention discloses an enterprise load analysis management system based on a block chain technology, and belongs to the technical field of enterprise load analysis, and the enterprise load analysis management system based on the block chain technology comprises a central system, an algorithm system module, a rule system module, a processing execution module and a distributed data network are established in the central system, a cloud storage and a data center are arranged in the distributed network and used for ensuring data security and data integrity, and the algorithm system module is used for establishing an algorithm and preventing data tampering and data loss; the rule system module is used for forming rules, setting access authority and ensuring data security, and the processing execution module is used for formulating a processing program and an execution program of data and forming a closed loop of single management. According to the method, the enterprise management mode can be comprehensively adjusted by utilizing the block chain technology, so that information in the enterprise management process is timely and effectively updated, the synchronism and coordination of enterprise management are improved, and the burden of enterprise management personnel is reduced.

Description

Technical Field

[0001] The present invention relates to the field of enterprise load analysis technology, and more specifically, to an enterprise load analysis management system based on blockchain technology. Background Art

[0002] Enterprise load analysis is a process of comprehensively evaluating the load that an enterprise bears during operation. The load includes equipment load, personnel load, system load and other aspects. By monitoring and analyzing these loads, potential problems can be discovered in a timely manner, resource allocation can be optimized, production efficiency can be improved, and stable operation of the enterprise can be ensured.

[0003] The characteristics of blockchain include decentralization, immutability, transparency, security and programmability. Each data block is linked to the previous block to form a continuous chain, which guarantees the integrity of transaction history. Smart contract technology makes blockchain programmable and supports a wider range of applications.

[0004] In current enterprise management, each part of the enterprise is managed separately. Although this management method is relatively comprehensive, it involves too much management content. In addition, different managers may have problems with inconsistent management coordination during the management process due to untimely information updates, which increases the management burden of enterprise managers overall.

[0005] Therefore, in view of this, the existing structure is studied and improved, and an enterprise load analysis and management system based on blockchain technology is provided, in order to achieve a more practical purpose. Summary of the invention

[0006] 1. Technical issues to be solved

[0007] In view of the problems existing in the prior art, the purpose of the present invention is to provide an enterprise load analysis and management system based on blockchain technology, which can utilize blockchain technology to comprehensively adjust the enterprise management model, update the information in the enterprise management process in a timely and effective manner, improve the synchronization and coordination of enterprise management, and reduce the burden on enterprise managers.

[0008] 2. Technical solution

[0009] To solve the above problems, the present invention adopts the following technical solutions.

[0010] An enterprise load analysis management system based on blockchain technology, comprising a central system, wherein an algorithm system module, a rule system module, a processing execution module and a distributed data network are established inside the central system, and the algorithm system module, the rule system module and the processing execution module perform collaborative operations through the distributed data network;

[0011] Cloud storage and data centers are set up in the distributed network to ensure data security and data integrity;

[0012] Algorithm system module, used to establish algorithms, prevent data tampering and data loss, and provide data analysis and prediction services for enterprises

[0013] The rule system module is used to form rules, set access permissions, and ensure data security;

[0014] The processing and execution module is used to formulate the data processing and execution procedures to form a closed loop of single management;

[0015] Based on blockchain technology, an integrated enterprise management solution is formed in the central system to assist enterprises in processing big and complex data.

[0016] Furthermore, the cloud storage adopts a hybrid cloud storage method, and during cloud storage, access rules are established by a rule system module.

[0017] Furthermore, the private part of the hybrid cloud is controlled by the enterprise, which establishes the enterprise's access, management and maintenance rights to the data center through the rule system module;

[0018] The public part of the hybrid cloud authorizes users to access the data center through a distributed network through the rule system module.

[0019] Furthermore, in the algorithm system module, a hash algorithm is used to perform encryption calculations on data, and the function selected by the hash algorithm is the SHA-256 function.

[0020] Furthermore, the calculation steps of the hash algorithm based on the SHA-256 function are as follows:

[0021] Select the SHA-256 function;

[0022] Convert input data into binary data stream and perform padding and chunking;

[0023] Iterate and calculate each data block to update the hash value;

[0024] After all blocks have been processed, the final hash value is output.

[0025] Furthermore, in the rule system module, the specific steps for setting access rights are as follows:

[0026] Clarify access requirements and security policies: At this point, determine the users who will access the system or resources, determine the operations that the users can perform, determine the roles and responsibilities of different users, and assign permissions to users;

[0027] Create user accounts and user groups: Create a separate user account for each user who needs to access the system, group users with similar permission requirements, and set different permissions for users in different groups;

[0028] Set file and directory permissions: Use the commands or tools provided by the operating system to set the read, write, and execute permissions for files and directories;

[0029] Configure network access control: Use firewalls and intrusion detection systems (IDS) to limit network access to the system and configure firewall rules to only allow connections from specific IP addresses or ports;

[0030] Application layer permission control: For applications running on the system, apply their own permission settings to control user access.

[0031] Furthermore, when setting access permissions, the restrictions include:

[0032] Each user has only the minimum permissions required to complete their work;

[0033] As business grows and personnel change, administrators regularly check system access permissions to ensure that permissions comply with current security policies and business requirements;

[0034] Use strong passwords and two-factor authentication;

[0035] Record user access operations and permission changes.

[0036] Furthermore, in the processing execution module, the data processing tools include one or more of Excel, Python, R, SQL, Tableau, SPSS, and SAS.

[0037] 3. Beneficial effects

[0038] Compared with the prior art, the advantages of the present invention are:

[0039] This solution establishes a central system in which the enterprise develops a distributed data network to work together to ensure the security and integrity of enterprise data. The algorithm system module developed ensures that no data will be tampered with or lost. The rule system module developed ensures limited access and confidentiality of enterprise data. The processing execution module developed is ready to complete the management tasks of the system. Then, in conjunction with blockchain technology, an integrated enterprise management solution is formed. These artificial intelligence and machine learning algorithms can operate more efficiently and help enterprises process big data and complex data. At the same time, blockchain technology is used to comprehensively adjust the enterprise management model, so that information in the enterprise management process can be updated in a timely and effective manner, thereby improving the synchronization and coordination of enterprise management and reducing the burden on enterprise managers. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the system structure in the present invention. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention; it is obvious that the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments, and all other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making creative work are within the scope of protection of the present invention.

[0042] Embodiment 1:

[0043] See also Figure 1 , an enterprise load analysis management system based on blockchain technology, including a central system, an algorithm system module, a rule system module, a processing execution module and a distributed data network are established inside the central system, and the algorithm system module, the rule system module and the processing execution module work collaboratively through the distributed data network;

[0044] Cloud storage and data centers are set up in the distributed network to ensure data security and data integrity;

[0045] Algorithm system module, used to establish algorithms, prevent data tampering and data loss, and provide data analysis and prediction services for enterprises

[0046] The rule system module is used to form rules, set access permissions, and ensure data security;

[0047] The processing and execution module is used to formulate the data processing and execution procedures to form a closed loop of single management;

[0048] Based on blockchain technology, an integrated enterprise management solution is formed in the central system to assist enterprises in processing big and complex data.

[0049] Embodiment 2:

[0050] Based on the above embodiment 1, further description is given.

[0051] See also Figure 1 ,Specifically, the cloud storage adopts a hybrid cloud storage method. ,When storing in the cloud, the access rules are established by the ,rule system module;

[0052] Specifically, the private part of the hybrid cloud is controlled by the enterprise, which establishes the enterprise's access, management and maintenance rights to the data center through the rule system module;

[0053] The public part of the hybrid cloud authorizes users to access the data center through a distributed network through the rule system module.

[0054] Ensure data security while ensuring reasonable access to data.

[0055] Specifically, in the algorithm system module, a hash algorithm is used to perform encryption calculations on data, and the function selected by the hash algorithm is the SHA-256 function.

[0056] Specifically, the calculation steps of the hash algorithm based on the SHA-256 function are as follows:

[0057] Select the SHA-256 function;

[0058] Convert input data into binary data stream and perform padding and chunking;

[0059] Iterate and calculate each data block to update the hash value;

[0060] After all blocks have been processed, the final hash value is output.

[0061] When all data blocks are processed, the algorithm extracts the final hash value from the internal state. Usually, it forms a fixed-length output by connecting the processed variables together. Hash algorithms play their respective roles in different application scenarios. By reasonably selecting and using these algorithms, the security of data can be effectively protected.

[0062] Specifically, in the rule system module, the specific steps for setting access permissions are as follows:

[0063] Clarify access requirements and security policies: At this point, determine the users who will access the system or resources, determine the operations that the users can perform, determine the roles and responsibilities of different users, and assign permissions to users;

[0064] Create user accounts and user groups: Create a separate user account for each user who needs to access the system, group users with similar permission requirements, and set different permissions for users in different groups;

[0065] Set file and directory permissions: Use the commands or tools provided by the operating system to set the read, write, and execute permissions for files and directories;

[0066] Configure network access control: Use firewalls and intrusion detection systems (IDS) to limit network access to the system and configure firewall rules to only allow connections from specific IP addresses or ports;

[0067] Application layer permission control: For applications running on the system, apply their own permission settings to control user access.

[0068] Specifically, when setting access permissions, the restrictions include:

[0069] Each user has only the minimum permissions required to complete his / her work, reducing potential security risks;

[0070] As business develops and personnel change, user access requirements may change. Administrators should regularly check the system's access permission settings to ensure that permissions comply with current security policies and business requirements.

[0071] Use strong passwords and two-factor authentication to increase the security of your account and reduce unauthorized access attempts;

[0072] Record user access operations and permission changes to detect abnormal behavior and conduct investigations in a timely manner.

[0073] In summary, setting access permissions is an important part of the rule system module. By clarifying access requirements, creating user accounts and user groups, setting file and directory permissions, configuring network access control, and following best practices, you can effectively manage system access permissions and ensure data security and system stability.

[0074] Specifically, in the processing execution module, the data processing tools include one or more of Excel, Python, R, SQL, Tableau, SPSS, and SAS.

[0075] The above is only a preferred specific implementation of the present invention; however, the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solution and its improved conception within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An enterprise load analysis management system based on blockchain technology, including a central system, characterized in that: The central system has an algorithm system module, a rule system module, a processing execution module and a distributed data network, and the algorithm system module, the rule system module and the processing execution module work together through the distributed data network; Cloud storage and data centers are set up in the distributed network to ensure data security and data integrity; Algorithm system module, used to establish algorithms, prevent data tampering and data loss, and provide data analysis and prediction services for enterprises The rule system module is used to form rules, set access permissions, and ensure data security; The processing and execution module is used to formulate the data processing and execution procedures to form a closed loop of single management; Based on blockchain technology, an integrated enterprise management solution is formed in the central system to assist enterprises in processing big and complex data.

2. According to claim 1, an enterprise load analysis and management system based on blockchain technology is characterized by: The cloud storage adopts a hybrid cloud storage method. During cloud storage, access rules are established by a rule system module.

3. According to claim 2, an enterprise load analysis and management system based on blockchain technology is characterized by: The private part of the hybrid cloud is controlled by the enterprise, which establishes the enterprise's access, management and maintenance rights to the data center through the rule system module; The public part of the hybrid cloud authorizes users to access the data center through a distributed network through the rule system module.

4. According to claim 1, an enterprise load analysis and management system based on blockchain technology is characterized by: In the algorithm system module, a hash algorithm is used to perform encryption calculations on data, and the function selected by the hash algorithm is the SHA-256 function.

5. According to claim 4, an enterprise load analysis management system based on blockchain technology is characterized in that: The calculation steps of the hash algorithm based on the SHA-256 function are as follows: Select the SHA-256 function; Convert input data into binary data stream and perform padding and chunking; Iterate and calculate each data block to update the hash value; After all blocks have been processed, the final hash value is output.

6. According to claim 1, an enterprise load analysis and management system based on blockchain technology is characterized by: In the rule system module, the specific steps for setting access permissions are as follows: Clarify access requirements and security policies: At this point, determine the users who will access the system or resources, determine the operations that the users can perform, determine the roles and responsibilities of different users, and assign permissions to users; Create user accounts and user groups: Create a separate user account for each user who needs to access the system, group users with similar permission requirements, and set different permissions for users in different groups; Set file and directory permissions: Use the commands or tools provided by the operating system to set the read, write, and execute permissions for files and directories; Configure network access control: Use firewalls and intrusion detection systems (IDS) to limit network access to the system and configure firewall rules to only allow connections from specific IP addresses or ports; Application layer permission control: For applications running on the system, apply their own permission settings to control user access.

7. According to claim 6, an enterprise load analysis and management system based on blockchain technology is characterized in that: When setting access permissions, restrictions include: Each user has only the minimum permissions required to complete their work; As business grows and personnel change, administrators regularly check system access permissions to ensure that permissions comply with current security policies and business requirements; Use strong passwords and two-factor authentication; Record user access operations and permission changes.

8. According to claim 1, the enterprise load analysis and management system based on blockchain technology is characterized by: In the processing execution module, the data processing tools include one or more of Excel, Python, R, SQL, Tableau, SPSS, and SAS.

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