Data detection, classification and early warning system based on 5G new communication and use method thereof

Abstract

The invention discloses a 5G new communication-based data detection classification early warning system and a use method thereof, the system comprises a data information acquisition module, the output end of the data information acquisition module is electrically connected with a data information transmission module, and the output end of the data information transmission module is electrically connected with a data information preprocessing module; the output end of the data information preprocessing module is electrically connected with a feature extraction module, the output end of the feature extraction module is electrically connected with a data information recording module, the output end of the data information recording module is electrically connected with a controller, and the output end of the controller is electrically connected with a data information mining module. According to the data detection and classification system, the phenomenon that multiple types cannot be accurately subdivided traditionally is changed, and multiple modules are adopted for accurate subdivision, so that the situation that a user cannot intuitively know a data detection result is avoided, and the use effect of the data detection and classification system is not influenced.

Description

Technical Field

[0001] The present invention relates to the field of 5G new communication technology, and specifically to a 5G new communication data detection classification early warning system and a use method thereof. Background Art

[0002] According to the patents published on the China Patent Network, the patent name is: A data-driven anomaly detection and early warning system, and the patent application number is: 202310151399.2. The current existing data-driven anomaly detection and early warning system technology still has complex input variables for time series probability flow calculation, and the method for determining abnormal data is simple, resulting in low calculation efficiency of time series probability flow and low accuracy of abnormal data determination. The following scheme is proposed, which includes a processing module, an establishment module, a calculation module, a solution module, a determination module, a sorting module, and a scoring module. The purpose of the present invention is to obtain an optimized solution for abnormal data determination through model solving, thereby improving the accuracy of system anomaly detection and early warning. At the same time, by solving the risk abnormal data for the next hour, an optimized solution of the risk early warning model is obtained, which makes full use of the performance of the data mining algorithm, and provides a reliable method and approach for risk early warning of time series abnormal signals; however, the data detection and classification system in the above-mentioned data detection and classification system has fewer types of data classification during detection, and cannot be accurately subdivided into multiple types, resulting in the user being unable to intuitively understand the results of data detection, affecting the use effect of the data detection and classification system.

[0003] Therefore, it is necessary to design and transform the data detection and classification system to effectively prevent the phenomenon that there are too few types of data detection and classification. Summary of the invention

[0004] In order to solve the problems raised in the above-mentioned background technology, the purpose of the present invention is to provide a 5G new communication data detection classification early warning system and its use method, which has the advantage of increasing the types of data classification to improve user understanding, and solves the problem of fewer types of data detection classification.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a 5G new communication data detection classification early warning system and its use method, including a data information acquisition module, the output end of the data information acquisition module is electrically connected to the data information transmission module, the output end of the data information transmission module is electrically connected to the data information preprocessing module, the output end of the data information preprocessing module is electrically connected to the feature extraction module, the output end of the feature extraction module is electrically connected to the data information recording module, the output end of the data information recording module is electrically connected to the controller, the output end of the controller is electrically connected to the data information mining module, the output end of the data information mining module is electrically connected to the data analysis module, the output end of the data analysis module is electrically connected to the data classification module, and the data classification module The output ends of the blocks are electrically connected to a security data module and an abnormal data module, the output end of the security data module is electrically connected to a data information recording module, the output end of the abnormal data module is electrically connected to an alarm and response module, the output end of the alarm and response module is electrically connected to a hazard level classification module, the output end of the hazard level classification module is electrically connected to a red indicator light, a green indicator light and a yellow indicator light, respectively, the output ends of the red indicator light, the green indicator light and the yellow indicator light are electrically connected to a grading processing module, the output end of the alarm and response module is electrically connected to a visualization interaction module, the output end of the visualization interaction module is electrically connected to a user login module, the output end of the user login module is electrically connected to a query viewing module, and the output end of the user login module is electrically connected to a security verification module.

[0006] As a preferred embodiment of the present invention, the input end of the data information recording module is electrically connected to a data operation log module, and the input end of the data operation log module is electrically connected to the classification processing module.

[0007] As a preferred embodiment of the present invention, the output end of the data operation log module is bidirectionally electrically connected to a data backup and recovery module, and the data backup and recovery module is used in conjunction with the data operation log module.

[0008] As a preferred embodiment of the present invention, the input end of the controller is electrically connected to a power module, and the power module is used in conjunction with the controller.

[0009] As a preferred embodiment of the present invention, the input end of the data information mining module is electrically connected to an anti-theft module, and the anti-theft module is used in conjunction with the data information mining module.

[0010] As a preferred embodiment of the present invention, the data information acquisition module is composed of a behavior data acquisition module, a network flow data acquisition module and a device status data acquisition module.

[0011] As a preferred embodiment of the present invention, the data information preprocessing module is composed of a data cleaning module and a data sorting module, and the alarm and response module is composed of a buzzer, a flashing light and a text message notification module.

[0012] As a preferred method of use of the present invention, the following steps are included: S1: First, the data is collected through the data information collection module, and the data information collection module transmits the collected data through the data information transmission module, and then the data information preprocessing module preprocesses the data, and then the feature extraction module extracts details, and then the data information is recorded through the data information recording module, and then the controller information is passed to the data information mining module, and then it is analyzed by the data analysis module, and after analysis, it is classified by the data classification module, and classified into a safe data module and an abnormal data module, and then the safe data module passes the data information to the data information recording module, and then the abnormal data module passes the information to the alarm and response module, and the alarm and response module classifies it through the danger level classification module, and then distinguishes and informs through the red indicator light, the green indicator light and the yellow indicator light, and then processes it through the graded processing module, and then the alarm and response module passes the information to the visual interaction module, and the visual interaction module performs query processing through the user login module and the query viewing module, so as to achieve the effect of increasing the types of data classification to improve user understanding.

[0013] S2: Then the behavior data collection module, network traffic data collection module and device status data collection module in the data information collection module expand the data information collection, and then the data cleaning module and data sorting module in the data information preprocessing module preprocess the data, and then the alarm is processed through the buzzer, flashing light and SMS notification module in the alarm and response module, so as to achieve the effect of assisting classification detection.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The data detection and classification system of the present invention changes the traditional phenomenon that data cannot be accurately subdivided into multiple categories. It adopts multiple modules for accurate subdivision, which will not cause users to be unable to intuitively understand the results of data detection, nor will it affect the use effect of the data detection and classification system.

[0015] 2. The present invention can reflect the operating status of the system, including the efficiency, bottlenecks and delays of data processing, through the setting of the data operation log module. It can also discover performance problems and optimize them, improve the overall performance of the system and user experience, and record user operation behaviors, which can be used to analyze user usage habits, preferences and needs.

[0016] 3. The present invention can provide redundant storage of data through the setting of data backup and recovery modules. Even if the original data is lost or damaged due to hardware failure, human error or malicious attack, it can be restored from the backup, and the long-term security and availability of the data can be ensured.

[0017] 4. The present invention can provide more sufficient power to the controller and avoid power outages by setting a power module.

[0018] 5. The present invention can effectively prevent data from being accessed, tampered with or stolen without authorization by setting up an anti-theft module. It can also monitor data access behavior in real time, promptly detect and prevent potential security threats, and ensure that only authorized users can access the data, thereby protecting the assets and reputation of the organization.

[0019] 6. The present invention can automatically collect data from multiple sources through the setting of the data information collection module consisting of a behavior data collection module, a network traffic data collection module and a device status data collection module, thereby reducing the possibility of human input errors and improving the accuracy and consistency of the data.

[0020] 7. The present invention adopts a data information preprocessing module composed of a data cleaning module and a data sorting module, and the alarm and response module is composed of a buzzer, a flashing light and a text message notification module. It can remove noise and outliers in the data, reduce the risk of model overfitting, improve the generalization ability of the model, and monitor the operating status and key indicators of the system in real time. Once an abnormality or potential problem is found, an alarm is triggered immediately. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a structural system diagram of the present invention; Figure 2 It is a system diagram of the data information acquisition module of the present invention; Figure 3 It is a structural diagram of the data information preprocessing module of the present invention; Figure 4 It is a system diagram of the alarm and response module of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0023] like Figures 1 to 4As shown, the present invention provides a 5G new communication data detection classification warning system and its use method, including a data information acquisition module, the output end of the data information acquisition module is electrically connected to the data information transmission module, the output end of the data information transmission module is electrically connected to the data information preprocessing module, the output end of the data information preprocessing module is electrically connected to the feature extraction module, the output end of the feature extraction module is electrically connected to the data information recording module, the output end of the data information recording module is electrically connected to the controller, the output end of the controller is electrically connected to the data information mining module, the output end of the data information mining module is electrically connected to the data analysis module, the output end of the data analysis module is electrically connected to the data classification module, and the output end of the data classification module is electrically connected to the data information mining module. Both are electrically connected to a security data module and an abnormal data module, the output end of the security data module is electrically connected to the data information recording module, the output end of the abnormal data module is electrically connected to the alarm and response module, the output end of the alarm and response module is electrically connected to a hazard level classification module, the output end of the hazard level classification module is electrically connected to a red indicator light, a green indicator light and a yellow indicator light respectively, the output ends of the red indicator light, the green indicator light and the yellow indicator light are electrically connected to a grading processing module, the output end of the alarm and response module is electrically connected to a visualization interaction module, the output end of the visualization interaction module is electrically connected to a user login module, the output end of the user login module is electrically connected to a query and viewing module, and the output end of the user login module is electrically connected to a security verification module.

[0024] refer to Figure 1 The input end of the data information recording module is electrically connected to the data operation log module, and the input end of the data operation log module is electrically connected to the classification processing module.

[0025] As a technical optimization solution of the present invention, through the setting of the data operation log module, it can reflect the operating status of the system, including the efficiency, bottlenecks and delays of data processing, and can also discover performance problems and optimize them to improve the overall performance of the system and user experience. It can also record the user's operation behavior, which can be used to analyze the user's usage habits, preferences and needs.

[0026] refer to Figure 1 The output end of the data operation log module is bidirectionally electrically connected to a data backup and recovery module, and the data backup and recovery module is used in conjunction with the data operation log module.

[0027] As a technical optimization solution of the present invention, through the setting of the data backup and recovery module, redundant storage of data can be provided. Even if the original data is lost or damaged due to hardware failure, human error or malicious attack, it can be restored from the backup, and the long-term security and availability of the data can be ensured.

[0028] refer to Figure 1The input end of the controller is electrically connected to a power module, and the power module is used in conjunction with the controller.

[0029] As a technical optimization solution of the present invention, by setting a power module, the controller can be more charged and power outages can be avoided.

[0030] refer to Figure 1 The input end of the data information mining module is electrically connected to the anti-theft module, and the anti-theft module is used in conjunction with the data information mining module.

[0031] As a technical optimization solution of the present invention, the setting of the anti-theft module can effectively prevent data from being accessed, tampered with or stolen without authorization, and can also monitor data access behavior in real time, promptly discover and prevent potential security threats, and ensure that only authorized users can access the data, thereby protecting the assets and reputation of the organization.

[0032] refer to Figure 2 ,The data information collection module is composed of the behavior data collection module, ,network traffic data collection module and the device status data collection module.

[0033] As a technical optimization solution of the present invention, the data information collection module is composed of a behavior data collection module, a network traffic data collection module and a device status data collection module, which can automatically collect data from multiple sources, reduce the possibility of human input errors, and thus improve the accuracy and consistency of the data.

[0034] refer to Figure 3 and Figure 4 ,The data information preprocessing module is composed of the data cleaning module and the data ,collation module, and the alarm and response module is composed of the buzzer, flashing light and SMS notification module.

[0035] As a technical optimization solution of the present invention, the data information preprocessing module is composed of a data cleaning module and a data sorting module, and the alarm and response module is composed of a buzzer, a flashing light and an SMS notification module. This can remove noise and outliers in the data, reduce the risk of model overfitting, improve the generalization ability of the model, and monitor the operating status and key indicators of the system in real time. Once an abnormality or potential problem is found, an alarm is triggered immediately.

[0036] S1: First, the data is collected through the data information collection module, and the data information collection module transmits the collected data through the data information transmission module, and then the data information preprocessing module preprocesses the data, and then the feature extraction module extracts details, and then the data information is recorded through the data information recording module, and then the controller information is passed to the data information mining module, and then it is analyzed by the data analysis module, and after analysis, it is classified by the data classification module, and classified into a safe data module and an abnormal data module, and then the safe data module passes the data information to the data information recording module, and then the abnormal data module passes the information to the alarm and response module, and the alarm and response module classifies it through the danger level classification module, and then distinguishes and informs through the red indicator light, the green indicator light and the yellow indicator light, and then processes it through the graded processing module, and then the alarm and response module passes the information to the visual interaction module, and the visual interaction module performs query processing through the user login module and the query viewing module, so as to achieve the effect of increasing the types of data classification to improve user understanding.

[0037] S2: Then the behavior data collection module, network traffic data collection module and device status data collection module in the data information collection module expand the data information collection, and then the data cleaning module and data sorting module in the data information preprocessing module preprocess the data, and then the alarm is processed through the buzzer, flashing light and SMS notification module in the alarm and response module, so as to achieve the effect of assisting classification detection.

[0038] The working principle and use process of the present invention are as follows: first, each data is collected through the data information collection module, and the data information collection module transmits the collected data through the data information transmission module, and then the data information preprocessing module preprocesses the data, and then the feature extraction module extracts details, and then the data information is recorded through the data information recording module, and then the controller information is transmitted to the data information mining module, and then the data analysis module analyzes it, and after the analysis, it is classified through the data classification module, and classified into a safety data module and an abnormal data module, and then the safety data module transmits the data information to the data information recording module, and then the abnormal data module transmits the information to the alarm and response module, and the alarm and response module classifies it through the danger level classification module Classification is carried out, and then the red indicator light, green indicator light and yellow indicator light are used to distinguish and inform, and then the classification processing module is used for processing, and then the alarm and response module passes the information to the visual interaction module, and the visual interaction module performs query processing through the user login module and the query viewing module, so as to increase the types of data classification to improve user understanding, and then the behavior data collection module, network traffic data collection module and equipment status data collection module inside the data information collection module expand the data information collection, and then the data cleaning module and data sorting module in the data information preprocessing module preprocess the data, and then the alarm is processed through the buzzer, flashing light and SMS notification module inside the alarm and response module, so as to achieve the effect of assisting classification detection.

[0039] To sum up: the data detection classification and early warning system based on the new 5G communication and its use method have changed the traditional phenomenon that data cannot be accurately subdivided into multiple categories through the data detection classification system. It adopts multiple modules for precise subdivision, which will not cause users to be unable to intuitively understand the results of data detection, nor will it affect the use effect of the data detection classification system.

[0040] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0041] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A 5G new communication data detection classification and early warning system, including a data information collection module, characterized in that: The output end of the data information acquisition module is electrically connected to the data information transmission module, the output end of the data information transmission module is electrically connected to the data information preprocessing module, the output end of the data information preprocessing module is electrically connected to the feature extraction module, the output end of the feature extraction module is electrically connected to the data information recording module, the output end of the data information recording module is electrically connected to the controller, the output end of the controller is electrically connected to the data information mining module, the output end of the data information mining module is electrically connected to the data analysis module, the output end of the data analysis module is electrically connected to the data classification module, the output ends of the data classification modules are both electrically connected to the security data module and the abnormal data module, the security The output end of the data module is electrically connected to the data information recording module, the output end of the abnormal data module is electrically connected to the alarm and response module, the output end of the alarm and response module is electrically connected to the hazard level classification module, the output end of the hazard level classification module is electrically connected to a red indicator light, a green indicator light and a yellow indicator light, respectively, the output ends of the red indicator light, the green indicator light and the yellow indicator light are electrically connected to a grading processing module, the output end of the alarm and response module is electrically connected to a visualization interaction module, the output end of the visualization interaction module is electrically connected to a user login module, the output end of the user login module is electrically connected to a query and viewing module, and the output end of the user login module is electrically connected to a security verification module.

2. According to claim 1, a 5G new communication data detection classification and early warning system is characterized by: The input end of the data information recording module is electrically connected to the data operation log module, and the input end of the data operation log module is electrically connected to the classification processing module.

3. According to claim 2, a 5G new communication data detection classification and early warning system is characterized in that: The output end of the data operation log module is bidirectionally electrically connected to a data backup and recovery module, and the data backup and recovery module is used in conjunction with the data operation log module.

4. According to claim 1, a 5G new communication data detection classification and early warning system is characterized in that: The input end of the controller is electrically connected to a power module, and the power module is used in conjunction with the controller.

5. According to claim 1, a 5G new communication data detection classification and early warning system is characterized in that: The input end of the data information mining module is electrically connected to an anti-theft module, and the anti-theft module is used in conjunction with the data information mining module.

6. According to claim 1, a 5G new communication data detection classification and early warning system is characterized in that: The data information acquisition module is composed of a behavior data acquisition module, a network flow data acquisition module and a device status data acquisition module.

7. According to claim 1, a 5G new communication data detection classification and early warning system is characterized in that: The data information preprocessing module is composed of a data cleaning module and a data sorting module, and the alarm and response module is composed of a buzzer, a flashing light and a text message notification module.

8. A method for using a 5G new communication data detection classification and early warning system according to claims 1-7, characterized in that: The following steps are involved: S1: First, the data is collected through the data information collection module, and the data information collection module transmits the collected data through the data information transmission module, and then the data information preprocessing module preprocesses the data, and then the feature extraction module extracts details, and then the data information is recorded through the data information recording module, and then the controller information is passed to the data information mining module, and then it is analyzed by the data analysis module, and after analysis, it is classified by the data classification module, and classified into a safe data module and an abnormal data module, and then the safe data module passes the data information to the data information recording module, and then the abnormal data module passes the information to the alarm and response module, and the alarm and response module classifies it through the danger level classification module, and then distinguishes and informs through the red indicator light, the green indicator light and the yellow indicator light, and then processes it through the graded processing module, and then the alarm and response module passes the information to the visual interaction module, and the visual interaction module performs query processing through the user login module and the query viewing module, so as to achieve the effect of increasing the types of data classification to improve user understanding. S2: Then the behavior data collection module, network traffic data collection module and device status data collection module in the data information collection module expand the data information collection, and then the data cleaning module and data sorting module in the data information preprocessing module preprocess the data, and then the alarm is processed through the buzzer, flashing light and SMS notification module in the alarm and response module, so as to achieve the effect of assisting classification detection.

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