Web3.0-based SCRM customer relationship network management system and application

Abstract

The invention relates to the technical field of network management systems and applications, in particular to an SCRM customer relationship network management system based on web3.0 and an application, which effectively prevent the generation of a large amount of junk information and improve the accuracy of data. Comprising a system login unit which is used for generating account information, sending the account information and logging in a user; the data storage unit is used for receiving and storing account information; the account verification unit is used for extracting data of a user data packet, an IP address data packet and a blacklist data packet, and the system page unit is used for displaying classified information; the information collection unit establishes a comment data packet, adds the comment message of the user into the comment data packet and sends the comment message; and the vocabulary collection unit is used for collecting sensitive vocabularies, an information screening unit, an address tracing unit, an address storage unit, an information analysis unit, an information storage unit, an information statistics unit and a statistics display unit.

Description

Technical Field

[0001] The present invention relates to the technical field of network management systems and applications, and in particular to a web3.0-based SCRM customer relationship management system and application. Background Art

[0002] "Website performance, maintenance, and assurance mechanisms" are core evaluation criteria for system websites, encompassing response time, daily maintenance, and website security. These criteria place high demands on the network support systems for e-government websites. In response to the current state of e-government website system development and assessment requirements, we have developed a Web3.0-based SCRM customer relationship management system and application.

[0003] However, in web3.0-based SCRM customer relationship network management systems and applications, users often leave malicious messages, resulting in the generation of a large amount of spam and increasing the operating burden of the system. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a web3.0-based SCRM customer relationship network management system and application that effectively prevents the generation of a large amount of spam information and improves the accuracy of data.

[0005] The present invention provides a web3.0-based SCRM customer relationship network management system and application; comprising:

[0006] System login unit, used to generate and send account information, and for user login;

[0007] a data storage unit, configured to receive and store account information, the data storage unit generating a user data packet and adding the received account information to the user data packet;

[0008] An account verification unit, configured to extract data from a user data packet, an IP address data packet, and a blacklist data packet and verify the account information input by the user. When the account information input by the user is consistent with the account information stored in the user data packet, and when the account information input by the user is inconsistent with the account information in the blacklist data packet, and when the IP address of the account information input by the user is inconsistent with the IP address in the IP address data packet, the account verification information assigns an account information comparison result signal a value of "0", and the user enters the system page unit; when the account verification information assigns a value other than "0" to the account information comparison result signal, the user cannot enter the system page unit;

[0009] System page unit, used to display classified information;

[0010] The information collection unit is used to collect and send the user's comments and messages on the classified information; the information collection unit creates a comment data packet, adds the user's comments and messages to the comment data packet and sends it;

[0011] A vocabulary collection unit is used to collect sensitive words. The vocabulary collection unit pre-enters sensitive words and generates a sensitive word data package for the sensitive words. Then, through artificial intelligence, the collected big data is analyzed using association rules to find the inherent associations between sensitive words, thereby discovering new sensitive words and adding them to the sensitive word data package.

[0012] An information screening unit is used to extract sensitive word data packets and receive comment data packets. When a comment message in a comment data packet contains a sensitive word that matches a sensitive word in the sensitive word data packet, the information screening unit deletes the comment message of the user;

[0013] At the same time, the account information of the comment is marked and transmitted to the address tracing unit;

[0014] The information screening unit generates a comment data packet No. 1 from the comment data packet after screening and deletion and sends it to the information analysis unit;

[0015] An address tracing unit is used to receive the marked account information and track the IP address of the marked account information, and then generate an IP address document based on the tracked IP address. The address tracing unit then sends the marked account information and the IP address document;

[0016] An address storage unit, configured to receive and store the marked account information and IP address document, the address storage unit creating a blacklist data packet and adding the received marked account information to the blacklist data packet, the address storage unit creating an IP address data packet and adding the received IP address document to the IP address data packet;

[0017] The information analysis unit is used to receive the No. 1 comment data packet transmitted by the information screening unit, classify and organize the No. 1 comment data packet to generate a text document, and then transmit the text document;

[0018] An information storage unit, configured to receive and store the text document transmitted by the information analysis unit;

[0019] An information statistics unit is used to read the text documents stored in the information storage unit and perform statistics;

[0020] The statistics display unit is used to read and display the statistical results of the information statistics unit.

[0021] The present invention provides a web3.0-based SCRM customer relationship network management system and application, further comprising:

[0022] The data storage unit, the address storage unit and the information storage unit use different physical memories.

[0023] The present invention provides a web3.0-based SCRM customer relationship network management system and application, further comprising:

[0024] The system printing unit is used to read and print the information displayed by the statistical display unit.

[0025] The present invention provides a web3.0-based SCRM customer relationship network management system and application, further comprising:

[0026] The data backup unit is used to back up the text documents of the information storage unit.

[0027] The present invention provides a web3.0-based SCRM customer relationship network management system and application, which are developed based on the Linux operating system.

[0028] The present invention provides a web3.0-based SCRM customer relationship network management system and application, further comprising:

[0029] The cloud storage unit is used for cloud storage of text files of the data backup unit.

[0030] Compared with the prior art, the present invention has the following advantages: the system login unit sends the generated account information to the data storage unit, the data storage unit adds the account information to the user data packet, and the user enters the account information through the system login unit.

[0031] The account verification unit extracts data from the user data packet, the IP address data packet, and the blacklist data packet and verifies the account information input by the user. When the account information input by the user is consistent with the account information stored in the user data packet, and the account information input by the user is inconsistent with the account information in the blacklist data packet, and the IP address of the account information input by the user is inconsistent with the IP address in the IP address data packet, the account verification information assigns an account information comparison result signal to "0", and the user enters the system page unit; when the account verification information assigns an account information comparison result signal to be not "0", the user cannot enter the system page unit;

[0032] Users can leave comments on classified information displayed on the system page unit, including music, entertainment, politics, etc.

[0033] The vocabulary collection unit pre-enters sensitive words and generates a sensitive word data package for the sensitive words. Then, through artificial intelligence, the collected big data is analyzed using association rules to find the inherent associations between sensitive words, thereby discovering new sensitive words and adding them to the sensitive word data package.

[0034] The information collection unit creates a comment data packet, adds the user's comments and messages to the comment data packet, and sends it to the information screening unit. At the same time, the information screening unit extracts the sensitive word data packet from the vocabulary collection unit. When a comment in the comment data packet matches a sensitive word in the sensitive word data packet, the information screening unit deletes the user's comment and messages.

[0035] At the same time, the account information of the comment is marked and transmitted to the address tracing unit;

[0036] The address tracing unit receives the marked account information and tracks the IP address of the marked account information, and then generates an IP address document based on the tracked IP address. The address tracing unit then sends the marked account information and the IP address document to the address storage unit.

[0037] The address storage unit creates a blacklist data packet and adds the received marked account information to the blacklist data packet. The address storage unit creates an IP address data packet and adds the received IP address document to the IP address data packet.

[0038] The information screening unit generates a comment data packet No. 1 from the comment data packet after screening and deletion and sends it to the information analysis unit;

[0039] The information analysis unit receives the first comment data packet and classifies and organizes the first comment data packet to generate a text document, and then transmits the text document;

[0040] The information storage unit receives the text document and stores it;

[0041] The information statistics unit reads the text documents saved by the information storage unit and performs statistics; the statistics display unit is used to read and display the statistical results of the information statistics unit.

[0042] It effectively prevents the generation of a large amount of spam information and improves the accuracy of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a schematic diagram of the present invention; DETAILED DESCRIPTION

[0044] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0045] The present invention provides a web3.0-based SCRM customer relationship network management system and application. The system login unit sends the generated account information to the data storage unit. The data storage unit adds the account information to the user data packet. The user enters the account information through the system login unit.

[0046] The account verification unit extracts data from the user data packet, the IP address data packet, and the blacklist data packet and verifies the account information input by the user. When the account information input by the user is consistent with the account information stored in the user data packet, and the account information input by the user is inconsistent with the account information in the blacklist data packet, and the IP address of the account information input by the user is inconsistent with the IP address in the IP address data packet, the account verification information assigns an account information comparison result signal to "0", and the user enters the system page unit; when the account verification information assigns an account information comparison result signal to be not "0", the user cannot enter the system page unit;

[0047] Users can leave comments on classified information displayed on the system page unit, including music, entertainment, politics, etc.

[0048] The vocabulary collection unit pre-enters sensitive words and generates a sensitive word data package for the sensitive words. Then, through artificial intelligence, the collected big data is analyzed using association rules to find the inherent associations between sensitive words, thereby discovering new sensitive words and adding them to the sensitive word data package.

[0049] The information collection unit creates a comment data packet, adds the user's comments and messages to the comment data packet, and sends it to the information screening unit. At the same time, the information screening unit extracts the sensitive word data packet from the vocabulary collection unit. When a comment in the comment data packet matches a sensitive word in the sensitive word data packet, the information screening unit deletes the user's comment and messages.

[0050] At the same time, the account information of the comment is marked and transmitted to the address tracing unit;

[0051] The address tracing unit receives the marked account information and tracks the IP address of the marked account information, and then generates an IP address document based on the tracked IP address. The address tracing unit then sends the marked account information and the IP address document to the address storage unit.

[0052] The address storage unit creates a blacklist data packet and adds the received marked account information to the blacklist data packet. The address storage unit creates an IP address data packet and adds the received IP address document to the IP address data packet.

[0053] The information screening unit generates a comment data packet No. 1 from the comment data packet after screening and deletion and sends it to the information analysis unit;

[0054] The information analysis unit receives the first comment data packet and classifies and organizes the first comment data packet to generate a text document, and then transmits the text document;

[0055] The information storage unit receives the text document and stores it;

[0056] The information statistics unit reads the text document stored in the information storage unit and performs statistics;

[0057] The statistical display unit is used to read and display the statistical results of the information statistical unit;

[0058] Effectively prevent the generation of a large amount of spam information and improve the accuracy of data

[0059] The present invention provides a web3.0-based SCRM customer relationship network management system and application, further comprising:

[0060] The data storage unit, the address storage unit and the information storage unit use different physical memories to reduce the occurrence of data loss caused by damage to the physical memory of the server data storage unit.

[0061] The present invention provides a web3.0-based SCRM customer relationship network management system and application, further comprising:

[0062] The system printing unit is used to read and print the information displayed by the statistical display unit; it is convenient for users to print statistical results and improves convenience.

[0063] The present invention provides a web3.0-based SCRM customer relationship network management system and application, further comprising:

[0064] The data backup unit is used to back up the text documents of the information storage unit; by backing up the text documents in the information storage unit through the data backup unit, data loss is prevented and security is improved.

[0065] The present invention provides a web3.0-based SCRM customer relationship network management system and application, which is developed based on the Linux operating system, facilitates user operation and improves practicality.

[0066] The present invention provides a web3.0-based SCRM customer relationship network management system and application, further comprising:

[0067] The cloud storage unit is used to store the text files of the data backup unit in the cloud, which improves the security of the data.

[0068] The present invention is a web3.0-based SCRM customer relationship network management system and application. When it is working, the system login unit sends the generated account information to the data storage unit, and the data storage unit adds the account information to the user data packet. The user enters the account information through the system login unit.

[0069] The account verification unit extracts data from the user data packet, the IP address data packet, and the blacklist data packet and verifies the account information input by the user. When the account information input by the user is consistent with the account information stored in the user data packet, and the account information input by the user is inconsistent with the account information in the blacklist data packet, and the IP address of the account information input by the user is inconsistent with the IP address in the IP address data packet, the account verification information assigns an account information comparison result signal to "0", and the user enters the system page unit; when the account verification information assigns an account information comparison result signal to be not "0", the user cannot enter the system page unit;

[0070] Users can leave comments on classified information displayed on the system page unit, including music, entertainment, politics, etc.

[0071] The vocabulary collection unit pre-enters sensitive words and generates a sensitive word data package for the sensitive words. Then, through artificial intelligence, the collected big data is analyzed using association rules to find the inherent associations between sensitive words, thereby discovering new sensitive words and adding them to the sensitive word data package.

[0072] The information collection unit creates a comment data packet, adds the user's comments and messages to the comment data packet, and sends it to the information screening unit. At the same time, the information screening unit extracts the sensitive word data packet from the vocabulary collection unit. When a comment in the comment data packet matches a sensitive word in the sensitive word data packet, the information screening unit deletes the user's comment and messages.

[0073] At the same time, the account information of the comment is marked and transmitted to the address tracing unit;

[0074] The address tracing unit receives the marked account information and tracks the IP address of the marked account information, and then generates an IP address document based on the tracked IP address. The address tracing unit then sends the marked account information and the IP address document to the address storage unit.

[0075] The address storage unit creates a blacklist data packet and adds the received marked account information to the blacklist data packet. The address storage unit creates an IP address data packet and adds the received IP address document to the IP address data packet.

[0076] The information screening unit generates a comment data packet No. 1 from the comment data packet after screening and deletion and sends it to the information analysis unit;

[0077] The information analysis unit receives the first comment data packet and classifies and organizes the first comment data packet to generate a text document, and then transmits the text document;

[0078] The information storage unit receives the text document and stores it;

[0079] The data backup unit backs up the text files in the information storage unit.

[0080] The cloud storage unit performs cloud storage on the text documents of the data backup unit;

[0081] The information statistics unit reads the text document stored in the information storage unit and performs statistics;

[0082] The statistical display unit reads and displays the statistical results of the information statistical unit;

[0083] The system printing unit reads and prints the information displayed by the statistics display unit.

[0084] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A SCRM customer relationship network management system and application based on web3.0; characterized by: include: System login unit, used to generate and send account information, and for user login; a data storage unit, configured to receive and store account information, the data storage unit generating a user data packet and adding the received account information to the user data packet; An account verification unit, configured to extract data from a user data packet, an IP address data packet, and a blacklist data packet and verify the account information input by the user. When the account information input by the user is consistent with the account information stored in the user data packet, and when the account information input by the user is inconsistent with the account information in the blacklist data packet, and when the IP address of the account information input by the user is inconsistent with the IP address in the IP address data packet, the account verification information assigns an account information comparison result signal a value of "0", and the user enters the system page unit; when the account verification information assigns a value other than "0" to the account information comparison result signal, the user cannot enter the system page unit; System page unit, used to display classified information; The information collection unit is used to collect and send the user's comments and messages on the classified information; the information collection unit creates a comment data packet, adds the user's comments and messages to the comment data packet and sends it; A vocabulary collection unit is used to collect sensitive words. The vocabulary collection unit pre-enters sensitive words and generates a sensitive word data package for the sensitive words. Then, through artificial intelligence, the collected big data is analyzed using association rules to find the inherent associations between sensitive words, thereby discovering new sensitive words and adding them to the sensitive word data package. An information screening unit is used to extract sensitive word data packets and receive comment data packets. When a comment message in a comment data packet contains a sensitive word that matches a sensitive word in the sensitive word data packet, the information screening unit deletes the comment message of the user; At the same time, the account information of the comment is marked and transmitted to the address tracing unit; The information screening unit generates a comment data packet No. 1 from the comment data packet after screening and deletion and sends it to the information analysis unit; An address tracing unit is used to receive the marked account information and track the IP address of the marked account information, and then generate an IP address document based on the tracked IP address. The address tracing unit then sends the marked account information and the IP address document; An address storage unit, configured to receive and store the marked account information and IP address document, the address storage unit creating a blacklist data packet and adding the received marked account information to the blacklist data packet, the address storage unit creating an IP address data packet and adding the received IP address document to the IP address data packet; The information analysis unit is used to receive the No. 1 comment data packet transmitted by the information screening unit, classify and organize the No. 1 comment data packet to generate a text document, and then transmit the text document; An information storage unit, configured to receive and store the text document transmitted by the information analysis unit; An information statistics unit is used to read the text documents stored in the information storage unit and perform statistics; The statistics display unit is used to read and display the statistical results of the information statistics unit.

2. A web3.0-based SCRM customer relationship network management system and application as claimed in claim 1, characterized in that: Also includes: The data storage unit, the address storage unit and the information storage unit use different physical memories.

3. The web3.0-based SCRM customer relationship network management system and application as described in claim 2, characterized in that: Also includes: The system printing unit is used to read and print the information displayed by the statistical display unit.

4. The web3.0-based SCRM customer relationship network management system and application as claimed in claim 3, characterized in that: Also includes: The data backup unit is used to back up the text documents of the information storage unit.

5. The web3.0-based SCRM customer relationship network management system and application as described in claim 4, characterized in that: It is developed based on the Linux operating system.

6. A web3.0-based SCRM customer relationship network management system and application as claimed in claim 5, characterized in that: Also includes: The cloud storage unit is used for cloud storage of text files of the data backup unit.

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