Integrated short message platform supervision system based on artificial intelligence

Abstract

The invention discloses an artificial intelligence-based integrated short message platform supervision system, which comprises a processor, the account management and authority distribution module, the monitoring rule management module, the short message group sending and supervision module, the short message record management module, the data analysis and report module, the short message safety guarantee module and the exception handling and feedback module are connected with the processor. The invention belongs to the technical field of short message platform supervision, and through intelligent auditing of a processor and monitoring rules customized by an administrator, short messages containing abnormal words or illegal contents can be effectively filtered out, so that the content of the sent short messages is ensured to be legal and compliant, and an enterprise is prevented from facing legal risks due to sending of illegal short messages; therefore, the validity of the short message service is ensured, the efficiency of the service is improved, the user experience is enhanced, the data support and decision basis are provided, the safe and stable operation of the system is ensured, and long-term commercial value and competitive advantages can be brought to enterprises.

Description

Technical Field

[0001] The present invention relates to the technical field of SMS platform supervision, and in particular to an integrated SMS platform supervision system based on artificial intelligence. Background Art

[0002] The SMS platform is a communication service based on the SMS port directly provided by operators such as China Mobile, China Unicom, and China Telecom and connected to the Internet. It allows enterprises and developers to send and receive SMS messages through an API interface. It is used to send and receive text messages. It generally includes a web version and a software version. The two have the same functions but slightly different ways of usage. In addition, there are also general SMS platforms and customized development version SMS platforms. They are widely used in many fields such as corporate marketing, customer service, payment reminders, verification code sending, information release, etc.

[0003] With the popularization of mobile Internet and smart devices, SMS services have become an indispensable part of daily life and business operations. From personal communications to corporate marketing, to government public services, the application scenarios of SMS are becoming increasingly extensive. However, with the popularization of SMS applications, problems such as SMS fraud, harassment SMS, and spam SMS are becoming increasingly serious. These problems not only affect user experience, but may also bring economic losses and social instability. Companies may also face legal risks for sending illegal SMS. Therefore, effective supervision of SMS platforms is needed. Summary of the invention

[0004] To this end, the present invention provides an integrated SMS platform supervision system based on artificial intelligence to solve the above-mentioned problems in the prior art.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] An integrated SMS platform supervision system based on artificial intelligence includes a processor, and connected to the processor:

[0007] The account management and authority allocation module is used for the registration and login of administrator accounts, and the authority allocation is performed according to the identity information of administrators at all levels;

[0008] Monitoring rule management module, used to set SMS filtering rules and provide rule query and modification functions;

[0009] The SMS group sending and supervision module is used to create SMS group sending tasks, monitor the calling numbers of SMS senders in real time, and automatically review and detect the SMS contents;

[0010] The SMS record management module is responsible for storing the sent SMS records and contents, and marking and classifying the record contents;

[0011] The data analysis and reporting module is responsible for analyzing the data sent by SMS and generating analysis reports;

[0012] SMS security module, used to protect the security of user data and personal information;

[0013] The exception handling and feedback module is responsible for detecting and providing feedback on abnormal behaviors in SMS sending.

[0014] As a further optimized solution of the present invention, the account management and authority allocation module includes:

[0015] Account registration and login unit, the administrator registers and logs in by entering the user name and password, and the processor analyzes the user name and password to verify the legitimacy of the administrator's identity information;

[0016] The authority allocation unit classifies authorities according to the identity information of the administrator and allocates authorities according to the level of the administrator. The administrator manually adjusts, supervises, and reviews the system through corresponding authorities.

[0017] As a further optimized solution of the present invention, the monitoring rule management module includes:

[0018] A rule setting unit, through which SMS filtering rules are set, including but not limited to abnormal server IP, abnormal source mobile phone number, abnormal destination mobile phone number, and SMS content keywords;

[0019] A rule query unit, through which the set SMS filtering rules are queried;

[0020] A rule modification unit is used to modify or delete a rule.

[0021] As a further optimized solution of the present invention, the SMS group sending and supervision module includes:

[0022] The SMS group sending unit is used to create a SMS group sending task and mark the calling number of the SMS sender and the content of the SMS sent;

[0023] Content review unit, used for automated analysis and review of text message content, to monitor whether it contains abnormal words or illegal content;

[0024] The real-time monitoring unit is responsible for real-time monitoring and recording of the SMS sending process, analyzing and processing the caller number and content keywords to ensure the legality and compliance of SMS sending.

[0025] As a further optimized solution of the present invention, the SMS record management module includes:

[0026] A record storage unit, used to record and store sent text messages, including but not limited to sending time, calling number, receiving number, and text message content;

[0027] The classification management unit is responsible for classifying and managing SMS records according to SMS content or sending results.

[0028] As a further optimized solution of the present invention, the data analysis and reporting module includes:

[0029] The data analysis unit is responsible for statistical analysis of key indicators of SMS sending data, including but not limited to sending success rate, reply rate, and user interaction;

[0030] The report generation unit generates a detailed analysis report based on the analysis results of the data analysis unit to provide data support for the system.

[0031] As a further optimized solution of the present invention, the SMS security module includes:

[0032] Data encryption unit, using SSL encryption technology to protect the secure transmission and storage of user data;

[0033] The regular backup unit is used to regularly back up data to ensure stable system operation and data security.

[0034] As a further optimized solution of the present invention, the exception handling and feedback module includes:

[0035] Anomaly detection unit, responsible for real-time detection of abnormal behavior;

[0036] The online customer service unit is responsible for providing consultation and record services for incoming calls from users of the receiving number;

[0037] The complaint feedback unit is responsible for handling and recording any abnormal behaviors or user complaints discovered.

[0038] The present invention has the following advantages:

[0039] Through the intelligent review of the processor and the monitoring rules customized by the administrator, text messages containing abnormal words or illegal content can be effectively filtered out to ensure that the content of the text messages sent is legal and compliant, and to avoid legal risks faced by enterprises due to sending illegal text messages. It not only ensures the legality of the SMS service and improves the efficiency of the service, but also enhances the user experience, provides data support and decision-making basis, and ensures the safe and stable operation of the system, which can bring long-term business value and competitive advantage to the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A block diagram of the integrated SMS platform supervision system based on artificial intelligence provided by the present invention;

[0041] Figure 2 A system block diagram of the user management and authority allocation module of the present invention;

[0042] Figure 3 This is a system block diagram of the monitoring rule management module of the present invention;

[0043] Figure 4 It is a system block diagram of the SMS group sending and supervision module of the present invention;

[0044] Figure 5 This is a system block diagram of the SMS record management module of the present invention;

[0045] Figure 6 is a system block diagram of the data analysis and reporting module of the present invention;

[0046] Figure 7 This is a system block diagram of the SMS security module of the present invention;

[0047] Figure 8 It is a system block diagram of the exception handling and feedback module of the present invention. DETAILED DESCRIPTION

[0048] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] like Figure 1 As shown, an integrated SMS platform supervision system based on artificial intelligence includes a processor, and connected to the processor:

[0050] The account management and authority allocation module is used for the registration and login of administrator accounts, and the authority allocation is performed according to the identity information of administrators at all levels;

[0051] Specifically, Figure 2 As shown, the account management and authority allocation module includes an account registration and login unit and an authority allocation unit. The administrator registers and logs in by entering a user name and password. The processor analyzes the user name and password to verify the legitimacy of the administrator's identity information. The processor classifies the authority according to the administrator's identity information and allocates authority according to the administrator's level. The administrator manually adjusts and supervises the system through the corresponding authority, and can also conduct manual review;

[0052] Monitoring rule management module, used to set SMS filtering rules and provide rule query and modification functions;

[0053] Specifically, Figure 3 As shown, the monitoring rule management module includes a rule setting unit, a rule query unit and a rule modification unit. The administrator sets SMS filtering rules through the rule setting unit, including but not limited to abnormal server IP, abnormal source mobile phone number, abnormal destination mobile phone number, SMS content keywords, etc. The administrator queries the set SMS filtering rules through the rule query unit, and the administrator modifies or deletes the rules through the rule modification unit, so that the administrator can manually supervise and effectively filter out SMS containing abnormal words or illegal content, ensure that the content of the sent SMS is legal and compliant, and avoid legal risks faced by enterprises due to sending illegal SMS;

[0054] The SMS group sending and supervision module is used to create SMS group sending tasks, monitor the calling numbers of SMS senders in real time, and automatically review and detect the SMS contents;

[0055] Specifically, Figure 4 As shown, the SMS group sending and supervision module includes an SMS group sending unit, a content review unit, and a real-time monitoring unit;

[0056] Create a group SMS task through the group SMS unit, mark the caller number of the SMS and the content of the SMS, and submit it to the processor;

[0057] The processor automatically reviews the content of the sent SMS through the content review unit to detect whether it contains abnormal words or illegal content. It uses artificial intelligence text classification technology to automatically analyze and identify the SMS content. This can be based on machine learning or deep learning algorithms to analyze the semantics, vocabulary, sentence structure and other features of the SMS to determine whether it is spam, fraudulent SMS or other illegal content;

[0058] The content review unit also has the function of updating the abnormal word library, which can regularly update the abnormal word library to ensure that the system can promptly detect and intercept non-compliant SMS content;

[0059] The processor monitors and records the SMS sending process in real time through the real-time monitoring unit, analyzes and processes the caller number and content keywords to ensure the legality and compliance of SMS sending, and combines the review function of the content review unit to achieve dual supervision of SMS content;

[0060] The SMS record management module is responsible for storing the sent SMS records and contents, and marking and classifying the record contents;

[0061] Specifically, Figure 5As shown, the SMS record management module includes a record storage unit and a classification management unit. The record storage unit records and stores the sent SMS in a database, including information such as sending time, calling number, receiving number, and SMS content, while the classification management unit classifies and manages the SMS records according to the SMS content or sending results, such as junk SMS and normal SMS.

[0062] If the SMS content is found to contain abnormal words or illegal content, the SMS group sending unit refuses to send it and prompts the calling user to modify it. The processor determines that the SMS is a spam SMS through the classification management unit, and records the number of violations of the calling number through the recording storage unit and sends it to the processor. The processor controls the SMS group sending unit to restrict the calling number from sending, so as to reduce the probability of fraud and harassment of spam SMS and improve the user experience.

[0063] The data analysis and reporting module is responsible for analyzing the data sent by SMS and generating analysis reports;

[0064] Specifically, Figure 6 As shown, the data analysis and reporting module includes a data analysis unit and a report generation unit. The data analysis unit analyzes the SMS sending data, including statistical analysis of key indicators such as the sending success rate, reply rate, and user interaction. The report generation unit generates a detailed analysis report based on the analysis results to provide data support for the system.

[0065] Based on the analysis report, enterprises can gain in-depth understanding of key information such as the effect of SMS sending, user feedback, and behavior patterns, so that management can accurately evaluate business performance, discover potential problems and opportunities, and make more scientific and reasonable decisions. This not only improves the efficiency of decision-making, but also greatly enhances the accuracy and pertinence of decisions. Through data analysis in the analysis report, abnormal situations in SMS services can be discovered in a timely manner, such as an increase in the failure rate of sending and an increase in user complaints, etc., helping enterprises predict potential risks, such as the high incidence period of fraudulent SMS and the spread trend of spam SMS, so as to formulate preventive measures in advance, reduce the probability and scope of risk occurrence, and improve user experience;

[0066] SMS security module is used to protect the security of user data and personal information, such as Figure 7 As shown, it specifically includes a data encryption unit and a periodic backup unit. The data encryption unit uses SSL encryption technology to protect the secure transmission and storage of user data. The periodic backup unit can perform regular data backup to ensure stable system operation and data security.

[0067] The exception handling and feedback module is responsible for detecting and providing feedback on abnormal behaviors in SMS sending, such as Figure 8As shown, it specifically includes an anomaly detection unit, an online customer service unit and a complaint feedback unit. The anomaly detection unit performs real-time detection of abnormal behaviors, such as sending a large number of text messages with the same content in a short period of time, etc. The online customer service unit provides consultation and recording services for the incoming calls of the receiving number users, and the complaint feedback unit processes the abnormal behaviors or user complaints found and records them.

[0068] The anomaly detection unit has an early warning function. When the SMS sending volume increases abnormally, the sending failure rate rises, or other potential risks occur, the early warning mechanism is automatically triggered and a system alarm is issued. The processor controls the SMS group sending and supervision modules to focus on supervising abnormal behaviors. If no specific anomalies are found, manual supervision and review are carried out through account login and rule management by the administrator.

[0069] In summary, the present invention can effectively filter out text messages containing abnormal words or illegal content through the intelligent review of the processor and the monitoring rules customized by the administrator, ensure that the content of the sent text messages is legal and compliant, and avoid legal risks faced by enterprises due to sending illegal text messages. It not only ensures the legality of the text message service and improves the efficiency of the service, but also enhances the user experience, provides data support and decision-making basis, and ensures the safe and stable operation of the system, which can bring long-term business value and competitive advantage to the enterprise.

Claims

1. An integrated SMS platform supervision system based on artificial intelligence, characterized in that: Includes a processor, and connected to the processor: The account management and authority allocation module is used for the registration and login of administrator accounts, and the authority allocation is performed according to the identity information of administrators at all levels; Monitoring rule management module, used to set SMS filtering rules and provide rule query and modification functions; The SMS group sending and supervision module is used to create SMS group sending tasks, monitor the calling numbers of SMS senders in real time, and automatically review and detect the SMS contents; The SMS record management module is responsible for storing the sent SMS records and contents, and marking and classifying the record contents; The data analysis and reporting module is responsible for analyzing the data sent by SMS and generating analysis reports; SMS security module, used to protect the security of user data and personal information; The exception handling and feedback module is responsible for detecting and providing feedback on abnormal behaviors in SMS sending.

2. According to claim 1, the integrated SMS platform supervision system based on artificial intelligence is characterized in that: The account management and authority allocation module includes: Account registration and login unit, the administrator registers and logs in by entering the user name and password, and the processor analyzes the user name and password to verify the legitimacy of the administrator's identity information; The authority allocation unit classifies authorities according to the identity information of the administrator and allocates authorities according to the level of the administrator. The administrator manually adjusts, supervises, and reviews the system through corresponding authorities.

3. According to claim 1, the integrated SMS platform supervision system based on artificial intelligence is characterized in that: The monitoring rule management module includes: A rule setting unit, through which SMS filtering rules are set, including abnormal server IP, abnormal source mobile phone number, abnormal destination mobile phone number, and SMS content keywords; A rule query unit, through which the set SMS filtering rules are queried; A rule modification unit is used to modify or delete a rule.

4. According to claim 1, the integrated SMS platform supervision system based on artificial intelligence is characterized in that: The SMS group sending and supervision module includes: The SMS group sending unit is used to create a SMS group sending task and mark the calling number of the SMS sender and the content of the SMS sent; Content review unit, used for automated analysis and review of text message content, to monitor whether it contains abnormal words or illegal content; The real-time monitoring unit is responsible for real-time monitoring and recording of the SMS sending process, analyzing and processing the caller number and content keywords to ensure the legality and compliance of SMS sending.

5. According to claim 1, the integrated SMS platform supervision system based on artificial intelligence is characterized in that: The SMS record management module includes: A record storage unit, used to record and store sent text messages, including sending time, calling number, receiving number, and text message content; The classification management unit is responsible for classifying and managing SMS records according to SMS content or sending results.

6. The integrated SMS platform supervision system based on artificial intelligence according to claim 1 is characterized in that: Data analysis and reporting modules include: The data analysis unit is responsible for statistical analysis of key indicators of SMS sending data, including sending success rate, reply rate, and user interaction; The report generation unit generates a detailed analysis report based on the analysis results of the data analysis unit to provide data support for the system.

7. The integrated SMS platform supervision system based on artificial intelligence according to claim 1 is characterized in that: The SMS security module includes: Data encryption unit, using SSL encryption technology to protect the secure transmission and storage of user data; The regular backup unit is used to regularly back up data to ensure stable system operation and data security.

8. The integrated SMS platform supervision system based on artificial intelligence according to claim 1 is characterized in that: The exception handling and feedback module includes: Anomaly detection unit, responsible for real-time detection of abnormal behavior; The online customer service unit is responsible for providing consultation and record services for incoming calls from users of the receiving number; The complaint feedback unit is responsible for handling and recording any abnormal behaviors or user complaints discovered.

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