Network equipment detection method and device and electronic equipment

Abstract

The embodiment of the invention provides a network equipment detection method and device and electronic equipment. The method comprises the following steps: responding to a preset detection condition, and sending an information acquisition instruction to a multi-network device; receiving operation state information sent by the network equipment according to the information acquisition instruction; determining whether the network device has a risk based on the operation state information; and if the network equipment has the risk, displaying the information of the network equipment and the risk information. The method is used for achieving the effect of improving the working efficiency of maintaining the network equipment by the network maintenance personnel.

Description

Technical Field

[0001] The present application relates to the field of communications, and in particular to a network equipment detection method, device and electronic equipment. Background Art

[0002] With the rapid development of digital economy and big data, enterprises have an increasing demand for network equipment. With the increase in the number of network equipment, the operation and maintenance pressure of data centers on network equipment is gradually increasing. In order to ensure the safe and stable operation of network equipment, the network operation and maintenance center needs to regularly inspect and maintain network equipment.

[0003] As the number of network devices increases and the operating pressure of network devices continues to remain high, the probability of network devices experiencing operating risks has significantly increased. Therefore, the number of network equipment maintenance by network maintenance personnel has also increased. In related technologies, network maintenance personnel conduct offline inspections of multiple network devices, and determine whether network devices have risks based on previous work experience, and then perform maintenance on devices with risks.

[0004] As the number of times network equipment is maintained increases, the work pressure of network maintenance personnel also increases. The strong work pressure leads to a decrease in the work efficiency of network maintenance personnel. Summary of the invention

[0005] The embodiments of the present application provide a network equipment detection method, an apparatus and an electronic device, so as to improve the work efficiency of network maintenance personnel in maintaining network equipment.

[0006] In a first aspect, an embodiment of the present application provides a network device detection method, including:

[0007] In response to satisfying a preset detection condition, sending an information acquisition instruction to a plurality of network devices;

[0008] Receiving the operation status information sent by the network device according to the information acquisition instruction;

[0009] Determining whether the plurality of network devices are at risk based on the operating status information;

[0010] If the network device has risks, information about the network device and risk information are displayed.

[0011] In a second aspect, an embodiment of the present application provides a network device detection device, including:

[0012] An instruction sending unit, configured to send information acquisition instructions to a plurality of network devices in response to satisfying a preset detection condition;

[0013] An instruction response unit, used to receive the operation status information sent by the network device according to the information acquisition instruction;

[0014] a risk determination unit, configured to determine whether the plurality of network devices have risks based on the operation status information;

[0015] The risk display unit is used to display the information of the network device and the risk information if there is a risk in the network device.

[0016] In a third aspect, an embodiment of the present application provides a network device detection device, including: a memory, a processor;

[0017] The memory stores computer-executable instructions;

[0018] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0019] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the first aspect above and / or various possible implementations of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0021] Figure 1 A flowchart of the network device detection method provided in this application;

[0022] Figure 2 A schematic diagram of the structure of the network device detection device provided by this application;

[0023] Figure 3 A schematic diagram of the structure of the network device detection device provided in this application.

[0024] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0025] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0026] It should be noted that the application scenario of the network equipment detection method proposed in this application is mainly aimed at the maintenance scenario of network equipment in data centers in the communication field.

[0027] With the rapid development of the digital economy and big data, enterprises are increasingly demanding network equipment, and data centers are also facing increasing pressure to operate and maintain network equipment. As the number of network devices increases and the operating pressure of network equipment continues to remain high, the probability of network equipment operating risks has increased significantly, and the number of network maintenance personnel performing maintenance on network equipment has also increased. In related technologies, network maintenance personnel conduct offline inspections of multiple network devices, and determine whether network equipment has risks based on previous work experience, and then perform maintenance on risky equipment.

[0028] In combination with the above scenarios, it can be seen that the method of manually inspecting and maintaining multiple network devices offline has a technical problem of reducing the work efficiency of network maintenance personnel.

[0029] The network equipment detection method provided in the present application uses command control to obtain network equipment operation status information, analyzes the network equipment operation status, discovers the current risks of the network equipment, and promptly publishes the risk information of the network equipment, thereby solving the technical problem of reduced work efficiency of network maintenance personnel.

[0030] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0031] Figure 1 A flowchart of the network device detection method provided in this application is as follows: Figure 1 As shown, the method includes:

[0032] S110: In response to satisfying a preset detection condition, sending an information acquisition instruction to a plurality of network devices.

[0033] When the data center maintains network equipment, it focuses on testing the following four aspects of the network equipment:

[0034] Inspection of network equipment hardware: including inspection of the physical connection of network equipment to ensure that the network equipment is firmly connected; inspection of the appearance of network equipment to detect whether the appearance of network equipment is damaged; inspection of the internal condition of network equipment to clean up dust and debris inside the network equipment to ensure that the heat dissipation and ventilation of network equipment are in good condition.

[0035] Detection of network equipment software: including checking the operating system and application software of network equipment. Mainly check whether the corresponding version of the software in the network equipment is the latest, whether the patch has been updated, and whether the software configuration is reasonable, so as to ensure the normal configuration and function of the network equipment.

[0036] Detect the connection status between network devices: including checking the connection line status between network devices and the bandwidth utilization of network devices, so as to promptly repair connection failures, adjust and optimize the network topology structure, and improve network performance and transmission efficiency.

[0037] Network security detection: including checking the security vulnerabilities and risks of network devices. By checking the configuration of firewalls and access control lists of network devices, potential network attacks and intrusions can be detected and identified, thereby strengthening the security and defense capabilities of network devices.

[0038] Therefore, for each detection, each network device corresponds to multiple detection items, and each detection item requires obtaining different network device status information. For any network device, first determine all the operating status information that needs to be obtained from the network device, and generate one or more corresponding instructions for obtaining information for this information. When the preset detection conditions are met, multiple instructions are uniformly executed by the instruction execution device. Among them, the instruction execution device can be a program processing device such as a computer. The instruction can be a script execution instruction.

[0039] S120: Receive the operation status information sent by the network device according to the information acquisition instruction.

[0040] In this step, the operating status information of multiple network devices is stored in one or more network devices with storage functions. Each network device stores the operating status information of the network device obtained in this query, as well as the operating status information of the network device obtained in each historical query. Each network device is connected to the instruction execution device through a network. The operating status information of each network device is collected and uploaded by the relevant maintenance personnel of the device, or by a computer program according to the set collection instructions, executing the collection instructions to obtain the operating status information of the network device and uploading it. The uploaded operating status information contains information related to all detection items corresponding to the device. At the same time, multiple network devices support receiving the information acquisition instructions sent by the instruction execution device, and can take out the operating status information of the device from the storage space according to the information acquisition instructions, and send it to the instruction execution device, and the instruction execution device receives the operating status information of the network device.

[0041] S130: Determine whether multiple network devices are at risk based on the operation status information.

[0042] The instruction execution device receives the operation status information of multiple network devices, analyzes the operation status information of each device received this time, and analyzes each detection item of the device one by one. If necessary, the instruction execution device can also obtain the operation status information of the network device stored historically from the network device for auxiliary analysis.

[0043] S140: If there is a risk in the network device, display the information of the network device and the risk information.

[0044] In this step, the information and risk information of the network equipment are displayed on the network standard workbench. The network standard workbench and the instruction execution device are connected through the network. The instruction execution device uploads the analysis results of the equipment to the network standard workbench, and the network standard workbench receives the analysis results and saves and displays the analysis results. The network standard workbench has a login function. The network maintenance personnel log in to the network standard workbench based on the login password. The network standard workbench also supports the partition display function. After the user logs in with the password, the information and risk information of the relevant network equipment can be queried in the corresponding network equipment risk display area on the network standard workbench.

[0045] The network equipment detection method provided in the embodiment of the present application obtains the operating status information of multiple network devices through instructions, determines whether the multiple network devices have risks based on the obtained operating status information of the network devices, and displays the risk information of the network devices in a timely manner. The online analysis process of the operating status information of the network equipment is realized. And by displaying the risk information of the network equipment in a timely manner, the network maintenance personnel can obtain the latest network equipment information in a timely manner, and then maintain the relevant equipment, thereby improving the work efficiency of the network maintenance personnel.

[0046] In a specific implementation, step S130 further includes the following sub-steps:

[0047] S131: For each network device, extract data corresponding to a preset key field from the operation status information of the network device.

[0048] Since the operation status information of the network device obtained from the network device contains information related to all detection items corresponding to the device, before analyzing multiple detection items of the network device, it is necessary to extract data corresponding to a preset key field from the operation status information of the network device, wherein the preset key field is predetermined according to the detection content of the detection item.

[0049] S132: Determine whether the network device has risks based on the data corresponding to the key fields.

[0050] In some implementations of this embodiment, the number of the above key fields is at least one, each key field corresponds to a detection item, and the data corresponding to each key field includes one or more of the following data: state data, numerical data. For the above two types of data, the judgment rules of step S132 are as follows:

[0051] If the data corresponding to a key field is status data, and if the status data indicates that the state is normal, it is determined that the detection item corresponding to the key field does not have a risk, otherwise, it is determined that the detection item corresponding to the key field does have a risk.

[0052] If the data corresponding to a key field is numerical data, it is determined whether the detection item corresponding to the key field has risks based on the numerical value corresponding to the key field and the historical numerical value corresponding to the key field.

[0053] It should be noted that for a key field containing multiple data, multiple data contained in the key field need to be judged. If the judgment of one of the data indicates that the corresponding detection item has a risk, it is determined that the detection item corresponding to the key field has a risk.

[0054] In some implementations of this embodiment, the determining whether there is a risk in the detection item corresponding to the key field based on the value corresponding to the key field and the historical value corresponding to the key field further includes the following sub-steps:

[0055] S1321: Determine the value change corresponding to the key field according to the value of the key field and the historical value.

[0056] S1322: Determine whether there is a risk based on the value change and preset risk determination rules.

[0057] It should be noted that, when it is determined that the data corresponding to the key field is numerical data, before making a judgment, the instruction execution device attempts to obtain historically saved operating status information of the network device from the network device for auxiliary analysis.

[0058] After obtaining the historically saved operating status information, extract the data corresponding to the key fields in the multiple historically saved operating status information. Then analyze the values ​​of the currently obtained key fields and the historical values, and determine whether the device has the risk corresponding to the detection item based on the value change and the preset risk determination rules. The preset risk determination rules are formulated in advance based on the detection content of the detection item.

[0059] The above embodiment extracts the key fields in the operation status information of the network device and analyzes the data in each key field to determine the detection result of a detection item of each network device. By formulating the comparison rules of the data in the key fields, the standard for the instruction execution device to perform the comparison can be generated, thereby quickly obtaining the risk detection result of each detection item for each network device, thereby avoiding the process of network maintenance personnel making judgments based on experience, and improving the work efficiency of network maintenance personnel in maintaining network devices.

[0060] In some implementations of this embodiment, step S140 includes the following sub-steps:

[0061] S141: Determine the level of risk based on the following dimensions: the level of the network device in the network architecture, the redundancy of the network device failure point, and the failure type.

[0062] Among them, the risk level in this sub-step can be set to high risk level, medium risk level and low risk level. The higher the risk level, the greater the risk of the corresponding equipment, so a more timely response speed is required. For the access equipment, aggregation equipment, and core equipment of the network, the corresponding risks can be graded based on the hierarchy of the network equipment in the network architecture; for the redundancy of the interconnection links of the network equipment, the levels can be divided based on the redundancy of the network equipment failure point and the type of failure; for network hardware equipment failure and network software failure, hardware equipment failure can be solved on site, while software failure needs to be analyzed with the manufacturer or upgraded to the software version, and the failure can be graded according to the specific solution requirements. The risk level can also be divided according to the specific situation of the network equipment detection items, and the method provided in this application does not limit this.

[0063] S142: Display network device information and risk level information.

[0064] In this sub-step, the information of the network device displayed may include the device name, device administrator, and risk information, which can be obtained from the operating status information of the network device. When displaying the risk level information, different colors can be set for different levels of risk. It is also possible to set different network information to be displayed according to the specific situation, and set different prompt methods for different levels of risk, which is not limited by the method provided in this application.

[0065] In this embodiment, risk information is displayed by grading risks and setting related prompting methods, which makes it convenient for network maintenance personnel to classify and judge risk information so as to make timely responses according to risk situations.

[0066] In some implementations of this embodiment, the preset detection condition in step S110 includes: the time interval between the current time and the time when the network device was last detected is equal to the preset time interval.

[0067] In order to realize the judgment of the preset time interval, a timer can be set for the sending operation of the information acquisition instruction. Since the operating status information of the network device obtained is related to the state of the network at the current moment, some risks can only be discovered when the device fails. For example, risks such as network device software anomalies and low optical transmission power of the physical link can only be discovered when the device fails. At this time, the device already has risks, which will cause damage to the stability of the device. Therefore, in order to facilitate the analysis of the operating status information of the network device in different states, a network device detection task can be set to be executed once a day. The execution time interval can also be adjusted according to the specific situation, and the method provided in this application does not limit this.

[0068] In some implementations of this embodiment, the method provided by the present application further includes:

[0069] A risk warning message indicating the risk of the network device is sent to a preset user.

[0070] The preset user may be a network maintenance personnel or other users who have subscribed to the risk warning of network equipment. The purpose of sending the risk warning information is to facilitate the relevant personnel to deal with the risk in a timely manner to reduce the failure of network equipment.

[0071] It should be noted that the alarm information released by the network management platform of the network center includes alarms for network equipment detection items. Therefore, when the network management platform releases network alarm information, the network administrator can collect all the saved equipment operation status information and risk information within a period of time before the network alarm information is released, and extract the deeper relationship between the risk prompts of network equipment and network alarms, so as to adjust the judgment rules of network equipment risks in a timely manner.

[0072] Take the detection of the optical module power of network equipment as an example. For example, the daily network equipment detection set up saves the transmit and transmit optical power of tens of thousands of optical modules. When the network management platform receives an alarm for the transmit and transmit optical power of an optical module, it can obtain all the saved information records of the transmit and transmit optical power of the optical module from the previous month to the time when the alarm occurred. By comparing the power value when the port has an alarm failure with the power value within a historical month, the possible power value range of the port before the failure can be found. Within this range, the port has a failure risk, thereby optimizing the risk judgment rules. In addition, the time span between the time when the port risk prompt occurs and the time when the alarm failure occurs can be analyzed, and the risk level can be adjusted according to the time span.

[0073] Figure 2 A schematic diagram of the structure of the network device detection device provided in this application, such as Figure 2 As shown, the network device detection device 20 provided in this embodiment includes:

[0074] The instruction sending unit 201 is used to send information acquisition instructions to multiple network devices in response to meeting a preset detection condition;

[0075] The instruction response unit 202 is used to receive the operation status information sent by the network device according to the information acquisition instruction;

[0076] A risk determination unit 203, configured to determine whether a plurality of network devices are at risk based on the operation status information;

[0077] The risk display unit 204 is used to display information of the network device and risk information if there is a risk in the network device.

[0078] In a possible implementation, the risk determination unit 203 is further configured to extract data corresponding to preset key fields from the operation status information of each network device; and determine whether the network device has risks based on the data corresponding to the key fields.

[0079] The number of key fields is at least one, each key field corresponds to a detection item, and the data corresponding to each key field includes one or more of the following data: state data, value data.

[0080] If the data corresponding to a key field is status data, and if the status data indicates that the state is normal, it is determined that the detection item corresponding to the key field does not have a risk, otherwise, it is determined that the detection item corresponding to the key field does have a risk.

[0081] If the data corresponding to a key field is numerical data, it is determined whether the detection item corresponding to the key field has risks based on the numerical value corresponding to the key field and the historical numerical value corresponding to the key field.

[0082] In a possible implementation, the risk determination unit 203 is further configured to determine a value change corresponding to the key field based on the value of the key field and the historical value; and determine whether there is a risk based on the value change and a preset risk determination rule.

[0083] In a possible implementation, the risk display unit 204 is also used to determine the risk level based on the following dimensions: the level of the network device in the network architecture, the redundancy of the network device failure point and the failure type; and display the information of the network device and the risk level information.

[0084] In a possible implementation, the instruction sending unit 201 is further configured to determine whether the time interval between the current moment and the moment when the network device was last detected is equal to a preset time interval.

[0085] In a possible implementation, the risk display unit 204 is further configured to send risk warning information indicating the risk of the network device to a preset user.

[0086] The network device detection apparatus provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be described in detail here.

[0087] Figure 3 This is a schematic diagram of the structure of the network device detection device provided in this application. Figure 3 As shown, the electronic device 30 provided in this embodiment includes: at least one processor 301 and a memory 302. Optionally, the device 30 also includes a communication component 303. The processor 301, the memory 302 and the communication component 303 are connected via a bus 304.

[0088] In a specific implementation process, at least one processor 301 executes the computer-executable instructions stored in the memory 302, so that at least one processor 301 executes the above method.

[0089] The specific implementation process of the processor 301 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0090] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0091] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (Non-volatile Memory, NVM), such as at least one disk memory.

[0092] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0093] The present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0094] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above method is implemented.

[0095] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0096] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0097] The division of units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0098] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0099] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0100] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0101] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0102] Finally, it should be noted that those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention, which follow the general principles of the present invention and include common knowledge or customary technical means in the art not disclosed by the present invention, are not limited to the precise structure described above and shown in the drawings, and may be modified and changed in various ways without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A network device detection method, comprising: In response to satisfying a preset detection condition, sending an information acquisition instruction to a plurality of network devices; Receiving the operation status information sent by the network device according to the information acquisition instruction; Determining whether the plurality of network devices are at risk based on the operating status information; If the network device has risks, information about the network device and risk information are displayed.

2. The method according to claim 1, characterized in that The determining whether the plurality of network devices are at risk based on the operating status information includes: For each network device, extract data corresponding to a preset key field from the operation status information of the network device; Based on the data corresponding to the key fields, determine whether the network device has risks.

3. The method according to claim 2, characterized in that The number of the key fields is at least one, each key field corresponds to a detection item, and the data corresponding to each key field includes one or more of the following data: state data, numerical data; wherein, If the data corresponding to a key field is status data, and if the status data indicates that the state is a normal state, it is determined that the detection item corresponding to the key field does not have a risk; otherwise, it is determined that the detection item corresponding to the key field does have a risk; If the data corresponding to a key field is numerical data, it is determined whether the detection item corresponding to the key field has risks based on the numerical value corresponding to the key field and the historical numerical value corresponding to the key field.

4. The method according to claim 3, characterized in that: The determining whether the detection item corresponding to the key field has a risk based on the value corresponding to the key field and the historical value corresponding to the key field includes: Determine the value change corresponding to the key field according to the value of the key field and the historical value; Whether there is a risk is determined based on the numerical change and preset risk determination rules.

5. The method according to claim 1, characterized in that If the network device has a risk, displaying information of the network device and risk information includes: Determining the level of the risk based on the following dimensions: the level of the network device in the network architecture, the redundancy of the failure point of the network device and the failure type; Display the information of the network device and the risk level information.

6. The method according to any one of claims 1 to 5, characterized in that: The preset detection condition includes: the time interval between the current time and the time when the network device was last detected is equal to the preset time interval.

7. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: Send risk warning information indicating the risk of the network device to a preset user.

8. A network equipment detection device, characterized in that: include: An instruction sending unit, configured to send information acquisition instructions to a plurality of network devices in response to satisfying a preset detection condition; An instruction response unit, used to receive the operation status information sent by the network device according to the information acquisition instruction; a risk determination unit, configured to determine whether the plurality of network devices have risks based on the operation status information; The risk display unit is used to display the information of the network device and the risk information if there is a risk in the network device.

9. A network device detection device, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

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