Cloud rendering node machine softdog detection method, related equipment and cloud rendering system

Abstract

The invention relates to the technical field of cloud rendering, in particular to a cloud rendering node machine softdog detection method, related equipment and a cloud rendering system.The method comprises the steps that a softdog is embedded in a cloud rendering node machine; a driving program corresponding to the softdog is installed in an operating system of a cloud rendering node machine, and the driving program is used for controlling running of the softdog and obtaining information of the softdog; detecting the state and the attribute of the softdog through a preset monitoring system; and when the state and / or the attribute of the softdog are / is abnormal, giving an alarm and / or executing a preset business operation. Thus, the state and the attribute of the softdog are monitored through the monitoring system, an alarm is given out in time, corresponding service operation is adopted in time, on the basis that normal operation of the cloud rendering node machine is ensured, hardware-level safety protection is provided, and therefore the safety of the whole cloud rendering system is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of cloud rendering, and in particular to a cloud rendering node machine dongle detection method, related equipment and a cloud rendering system. Background Art

[0002] With the rapid development of cloud rendering technology, more and more rendering tasks are being migrated from local computers to the cloud to achieve a more efficient and faster rendering process. Cloud rendering node machines are widely used, providing users with powerful rendering capabilities and flexible resource management. However, as the scale of cloud rendering node machines continues to expand, their security issues are becoming increasingly prominent.

[0003] The security of cloud rendering node machines has always been the focus of cloud rendering service providers and users. One of the most important security issues is data security. A large amount of sensitive data generated during the rendering process needs to be protected to prevent unauthorized access or theft. In order to solve the data security problem, in the prior art, using a dongle to improve data security is a common measure. A dongle is a hardware device that stores encryption algorithms and keys internally, which can provide strong security and prevent unauthorized users from accessing the system. However, traditional dongles are usually used to protect software and data stored in local computers or local area networks. Embedding a dongle in a cloud rendering node machine can provide hardware-level security protection to avoid threats to the cloud rendering environment from software vulnerabilities and network attacks. The dongle can be connected to the cloud rendering node machine through a USB interface, communicate with the operating system, and access and control the encryption algorithm and key. In this way, even if the cloud rendering node machine is attacked by a network or accessed by unauthorized personnel, the dongle can still protect the security of rendering tasks and data.

[0004] However, traditional cloud monitoring systems usually only focus on the hardware and network status of cloud servers, but lack real-time monitoring and detection functions for information such as dongle attributes for cloud rendering nodes embedded with dongles. This leads to the problem of being unable to detect abnormal dongle status or attribute changes in a timely manner, which may pose a potential threat to the normal operation and data security of cloud rendering nodes. Summary of the invention

[0005] In view of this, the purpose of the present invention is to provide a cloud rendering node machine dongle detection method, related equipment and cloud rendering system, so as to overcome the problem that the current cloud rendering system cannot ensure the normal operation and data security of the cloud rendering node machine when using a dongle.

[0006] To achieve the above objectives, the present invention adopts the following technical solutions:

[0007] In a first aspect, an embodiment of the present application provides a cloud rendering node machine dongle detection method, comprising:

[0008] Embed a dongle in the cloud rendering node machine;

[0009] Installing a driver corresponding to the dongle in the operating system of the cloud rendering node machine, wherein the driver is used to control the operation of the dongle and obtain information about the dongle;

[0010] Detecting the status and properties of the dongle through a preset monitoring system;

[0011] When the state and / or property of the dongle is abnormal, an alarm is issued and / or a preset business operation is performed.

[0012] Furthermore, in some embodiments of the present application, it also includes:

[0013] Record the usage and status changes of the dongle and establish a log management system;

[0014] The log management system is used to analyze and determine whether the cloud rendering system fails or is abnormal, and whether the failure or abnormality is related to the dongle.

[0015] Further, in some embodiments of the present application, the information of the dongle includes the attributes and status of the dongle, the attributes include the serial number, license information and version number of the dongle; the status includes the running status and current status of the dongle;

[0016] The driver is connected to the monitoring system through the operating system.

[0017] Further, in some embodiments of the present application, the monitoring system is provided with a real-time monitoring function, and the real-time monitoring function is used to periodically obtain the properties and status of the dongle and record the properties and status in a log;

[0018] When the state and / or attribute of the dongle is abnormal, issuing an alarm and / or executing a preset business operation includes: analyzing the log based on preset rules and thresholds through the rendering backend and / or the monitoring system to determine whether the dongle is abnormal, and issuing an alarm and / or executing a preset business operation when it is abnormal.

[0019] Further, in some embodiments of the present application, the rendering backend and / or the monitoring system analyzes the log based on preset rules and thresholds to determine whether the dongle is abnormal, including:

[0020] Detecting whether the version number of the dongle is the same as the preset information through the rendering backend and / or the monitoring system;

[0021] The rendering backend and / or the monitoring system detects whether the continuous disconnection time of the dongle exceeds a preset threshold.

[0022] Furthermore, in some embodiments of the present application, the issuing of an alarm and / or executing a preset business operation in the event of an abnormality includes:

[0023] Send out alarm in case of abnormality;

[0024] and / or pause the current rendering task;

[0025] and / or notify system administrators;

[0026] And / or isolate the current cloud rendering node machine.

[0027] Furthermore, in some embodiments of the present application, the usage of the dongle includes the time, location and user information of each use of the dongle.

[0028] In a second aspect, an embodiment of the present application provides a cloud rendering node machine dongle detection system, characterized in that it includes:

[0029] A monitoring system, used to detect the status and properties of a dongle, wherein the dongle is embedded in a cloud rendering node machine, and a driver corresponding to the dongle is installed in the operating system of the cloud rendering node machine, wherein the driver is used to control the operation of the dongle and obtain information about the dongle;

[0030] The monitoring system is also used to issue an alarm and / or execute a preset business operation when the state and / or attribute of the dongle is abnormal.

[0031] In a third aspect, an embodiment of the present application provides a cloud rendering node machine dongle detection device, characterized in that it includes a processor and a memory, wherein the processor is connected to the memory:

[0032] Wherein, the processor is used to call and execute the program stored in the memory;

[0033] The memory is used to store the program, and the program is at least used to execute the cloud rendering node machine dongle detection method as described above.

[0034] In a fourth aspect, an embodiment of the present application provides a cloud rendering system, characterized in that it includes: a cloud rendering system and the cloud rendering node machine dongle detection system as described above.

[0035] The present invention relates to the field of cloud rendering technology, and specifically to a cloud rendering node machine dongle detection method, related equipment and cloud rendering system, the method comprising: embedding a dongle in a cloud rendering node machine; installing a driver corresponding to the dongle in the operating system of the cloud rendering node machine, the driver being used to control the operation of the dongle and obtain information about the dongle; detecting the state and properties of the dongle through a preset monitoring system; and issuing an alarm and / or performing a preset business operation when the state and / or properties of the dongle are abnormal. In this way, the state and properties of the dongle are monitored by the monitoring system, and an alarm is issued in a timely manner and corresponding business operations are taken, providing hardware-level security protection on the basis of ensuring the normal operation of the cloud rendering node machine, thereby enhancing the security of the entire cloud rendering system. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 It is a schematic diagram of the process of a cloud rendering node machine dongle detection method provided by an embodiment of the present invention;

[0038] Figure 2 It is a flowchart of a cloud rendering node machine dongle detection method provided by another embodiment of the present invention;

[0039] Figure 3 It is a structural schematic diagram of a cloud rendering node machine dongle detection device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0041] Method Example:

[0042] The present invention provides a cloud rendering node machine dongle detection method, which realizes reading and controlling the dongle by embedding the dongle in the cloud rendering node machine and installing a driver in the operating system. At the same time, a real-time detection function of the dongle attribute is added to the monitoring system, which can monitor the state and attributes of the dongle, and issue an alarm and take corresponding measures in time. In this way, the normal operation of the cloud rendering node machine can be ensured, and hardware-level security protection can be provided, thereby enhancing the security of the entire cloud rendering system. Figure 1 This is a flow chart of the cloud rendering node machine dongle detection method provided by the embodiment of the present invention. Figure 1 , this embodiment may include the following steps:

[0043] S101. Embed a dongle in a cloud rendering node machine.

[0044] Specifically, the dongle can be an external hardware device that can be connected to the cloud rendering node machine through a USB interface. The dongle stores encryption algorithms and keys internally, providing hardware-level security protection. By embedding the dongle, the data and tasks of the cloud rendering node machine can be effectively protected during the rendering process.

[0045] S102: Install a driver corresponding to the dongle in the operating system of the cloud rendering node machine.

[0046] The driver is used to control the operation of the dongle and obtain the information of the dongle.

[0047] Specifically, a driver is installed in the operating system of the cloud rendering node machine, and this driver is responsible for reading and controlling the functions of the dongle, so that the dongle and the cloud rendering node machine can communicate effectively. In the embodiment of the present application, through the installation of the driver, the operating system can read the status and properties of the dongle in real time and provide relevant information to the monitoring system.

[0048] S103, detecting the status and properties of the dongle through a preset monitoring system.

[0049] In actual applications, the real-time detection function of the dongle properties can be added to the monitoring system of the cloud rendering node machine. The monitoring system can be an independent software or a module integrated in the cloud rendering management platform. This function monitors the status and properties of the dongle in real time, including the connection status, the validity of the encryption algorithm, the integrity of the key, etc. The monitoring system obtains this information through the communication between the node machine operating system and the driver, and performs analysis and judgment.

[0050] S104: When the state and / or property of the dongle is abnormal, an alarm is issued and / or a preset business operation is executed.

[0051] Specifically, when the monitoring system detects that the dongle is in an abnormal state or its properties have changed, an alarm will be issued immediately. Alarms can be notified in a variety of ways, such as sending emails, text messages, or displaying them on the console of the monitoring system. Administrators can receive alarms in a timely manner and take appropriate measures to deal with them. These measures may include pausing rendering tasks, temporarily disabling the dongle, or notifying technicians to troubleshoot. At the same time, the monitoring system will also record the usage and status changes of the dongle. These records may include the connection and disconnection time of the dongle, detailed information on status changes, etc. These records are of great reference value for system operation and maintenance and troubleshooting, and can help administrators understand the operation of the dongle and discover potential problems in a timely manner.

[0052] It should be noted that the analysis and judgment can be performed directly by the monitoring system, or the monitoring system can report the data to other parts such as the cloud rendering management platform for analysis and judgment and the issuance of instructions, so that the monitoring system can execute instructions, or the management platform can directly perform corresponding business operations.

[0053] The cloud rendering node machine dongle detection method provided by the present application is to embed a dongle in the cloud rendering node machine; install a driver corresponding to the dongle in the operating system of the cloud rendering node machine, the driver is used to control the operation of the dongle and obtain the information of the dongle; detect the state and properties of the dongle through a preset monitoring system; when the state and / or properties of the dongle are abnormal, issue an alarm and / or perform a preset business operation. In this way, the state and properties of the dongle are monitored by the monitoring system, and an alarm is issued and corresponding business operations are taken in a timely manner, so as to provide hardware-level security protection on the basis of ensuring the normal operation of the cloud rendering node machine, thereby enhancing the security of the entire cloud rendering system.

[0054] It is understandable that the cloud rendering node machine dongle detection method provided by this application realizes the reading and control of the dongle by embedding the dongle in the cloud rendering node machine and installing the driver in the operating system. At the same time, real-time monitoring and detection functions are added to the monitoring system to comprehensively and effectively ensure the normal operation and data security of the dongle, and it can be applied to cloud rendering systems of different scales and types to ensure the security of cloud rendering node machines.

[0055] The following is a complete example of the cloud rendering node machine dongle detection method provided by this application. Figure 2 This is a flow chart of a cloud rendering node machine dongle detection method provided by another embodiment of the present invention. Figure 2 , this embodiment may include the following steps:

[0056] First, configure the dongle device locally on the cloud rendering node machine, that is, embed the dongle in the cloud rendering node machine.

[0057] Specifically, the dongle can be connected to the cloud rendering node machine through a USB interface to provide hardware-level security protection. In this application, before embedding the dongle, it is necessary to select a dongle device suitable for the cloud rendering node machine. This dongle should have a high degree of security, reliability and compatibility to ensure that the data and tasks of the cloud rendering node machine are effectively protected. Then integrate the dongle device, integrate the selected dongle device with the cloud rendering node machine, and ensure that it can connect and communicate correctly. In actual applications, the dongle can be physically connected to the cloud rendering node machine through a USB interface. Through this connection, the dongle can obtain the information of the cloud rendering node machine and provide corresponding security protection.

[0058] Furthermore, the cloud rendering node machine installs a driver.

[0059] Specifically, in this application, in order to read and control the dongle, specific drivers can be installed in the operating system of the cloud rendering node machine. These drivers will provide the ability to communicate with the dongle and perform necessary operations on the dongle.

[0060] In practical applications, first, you can choose a suitable dongle driver, according to the model and manufacturer of the dongle. The driver is usually provided by the dongle provider and can be downloaded and installed on its official website. Once the driver is installed, the operating system will be able to establish a connection with the dongle and read and control the status and properties of the dongle. Then, by calling the API provided by the driver or using the corresponding command line tool, you can get the dongle information, such as the dongle serial number, license information, and current status. At the same time, you can also perform some operations through the driver, such as controlling the dongle, configuring or updating the key, etc.

[0061] It should be noted that there are many benefits to installing the dongle driver. First, it provides a convenient way to interact with the dongle, giving full play to the security and functionality of the dongle. Second, the installation of the driver can ensure the compatibility of the dongle with the system, ensuring its normal operation and stability. In addition, installing the driver also enables the cloud rendering or monitoring system to automatically detect the connection and status changes of the dongle when needed, improving the system's monitoring and management capabilities for the dongle.

[0062] Furthermore, a cloud rendering node monitoring script is deployed to detect in real time and report to the rendering backend.

[0063] Specifically, in an embodiment of the present application, in order to better monitor the status and properties of the dongle, a real-time detection function can be added to the monitoring system of the cloud rendering node machine. This function will regularly detect the status and properties of the dongle to ensure that it is always in normal operation. In this real-time detection function, a scheduled task can be set to regularly obtain various attribute information of the dongle, such as version number, running status, connection status, etc., and record this information in the log. By analyzing these log information, it is possible to promptly find out whether the status of the dongle has changed and whether there is an abnormality. At the same time, in order to more accurately monitor the status and properties of the dongle, some specific rules and thresholds can also be set. For example, if the version number of the dongle does not match the expectation, or the connection status is continuously disconnected for more than the set time threshold, the monitoring system can automatically trigger an alarm and notify relevant personnel. In this way, appropriate measures can be taken in time when the dongle is abnormal to prevent potential risks. In addition, in order to improve the accuracy and real-time nature of monitoring, more information can be obtained by integrating with other monitoring systems. For example, by integrating with the system log monitoring system, the log records related to the dongle can be obtained in real time, so as to fully understand its operation.

[0064] Furthermore, the rendering backend processes the cloud rendering node machine dongle attributes according to the reported situation and performs node machine isolation and alarm services.

[0065] Specifically, in the embodiment of the present application, in order to ensure the efficiency and security of the rendering task of the system, when it is detected that the state of the dongle is abnormal or the properties have changed, corresponding measures can be taken in time to avoid potential risks.

[0066] For example, first, when the dongle status is abnormal or the property changes are detected, an alarm can be issued immediately. By setting up a monitoring system, the status of the dongle is monitored in real time, and an alarm is automatically sent to notify relevant personnel when the status is abnormal. This ensures that the problem can be detected in time and attracts the attention of relevant personnel. Secondly, in order to reduce risks, a series of business operations can also be taken. For example, when the dongle status is abnormal or the property changes are detected, the current rendering task can be suspended to prevent data leakage or other security risks during the rendering process. At the same time, the administrator can be notified immediately to inform the specific situation of the problem and seek their support and guidance. In addition, in order to further ensure the security of the system, you can also choose to isolate the node machine and isolate the nodes that may be at risk to prevent the expansion of the problem. By issuing alarms in time and taking corresponding measures, the risks of rendering efficiency and security caused by the change of the dongle status can be minimized. This can ensure the stable operation of the system, ensure that the rendering task can be completed on time, and effectively protect user data.

[0067] Furthermore, the rendering backend performs log management on the reporting status of the cloud rendering node machine dongle program.

[0068] Specifically, in the embodiment of the present application, in order to ensure the security and stability of the system, the usage and state changes of the dongle can also be recorded, and a complete log management system can be established. By accurately recording the usage of the dongle, including the time, location and user information of each use, etc., a strong reference basis can be provided for system operation and maintenance and troubleshooting. The importance of log management cannot be ignored. By logging the usage and state changes of the dongle, a comprehensive understanding of the operating status of the system at different time points can be obtained. When a system failure or abnormality occurs, it can be determined whether it is related to the dongle by analyzing the corresponding log information. If the dongle is found to be abnormally used, corresponding measures can be taken in time to ensure that the system security is not seriously threatened. As for system operation and maintenance, the usage of the dongle can be managed through log management, and the operating habits and needs of system users can be mastered, thereby optimizing the various functional designs of the system. In addition, through the analysis of the dongle usage log, changes in user requirements for the system can also be discovered in time, so that corresponding improvements can be made to improve the ease of use and user satisfaction of the system.

[0069] The cloud rendering node machine encryption dog detection method provided by the present application can provide hardware-level security protection by embedding the encryption dog, avoid software vulnerabilities and network attacks, and achieve hardware-level security protection; by real-time monitoring of the status and properties of the encryption dog, problems can be discovered in time and corresponding measures can be taken to ensure the normal operation and data security of the cloud rendering node machine, and achieve real-time detection and monitoring; and the encryption dog attribute tag of the cloud rendering node machine can be automatically updated without manual maintenance, saving labor costs and achieving a high degree of automation; it can be easily applied to cloud rendering systems of different scales and types, ensuring the security of cloud rendering node machines and achieving high scalability of the system.

[0070] Detection system example:

[0071] Based on the same inventive concept, the present invention also provides a cloud rendering node machine dongle detection system, which includes:

[0072] A monitoring system is used to detect the status and properties of a dongle, wherein the dongle is embedded in a cloud rendering node machine, and a driver corresponding to the dongle is installed in the operating system of the cloud rendering node machine, wherein the driver is used to control the operation of the dongle and obtain information about the dongle; the monitoring system is also used to issue an alarm and / or execute a preset business operation when the status and / or properties of the dongle are abnormal.

[0073] Device Example:

[0074] Based on the same inventive concept, the present invention also provides a cloud rendering node machine dongle detection device, such as Figure 3 As shown, it includes a processor 31 and a memory 32, and the processor 31 is connected to the memory 32: wherein the processor 31 is used to call and execute the program stored in the memory 32; the memory 32 is used to store the program, and the program is at least used to execute the cloud rendering node machine dongle detection method provided by the above method embodiment.

[0075] Cloud rendering system implementation:

[0076] Based on the same inventive concept, the present invention also provides a cloud rendering system, including: a cloud rendering system and a cloud rendering node machine dongle detection system as mentioned in the above detection system embodiment.

[0077] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0078] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0079] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0080] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0081] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0082] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0083] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0084] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0085] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A cloud rendering node machine dongle detection method, characterized in that: include: Embed a dongle in the cloud rendering node machine; Installing a driver corresponding to the dongle in the operating system of the cloud rendering node machine, wherein the driver is used to control the operation of the dongle and obtain information about the dongle; Detecting the status and properties of the dongle through a preset monitoring system; When the state and / or property of the dongle is abnormal, an alarm is issued and / or a preset business operation is performed.

2. The cloud rendering node machine dongle detection method according to claim 1, characterized in that: Also includes: Record the usage and status changes of the dongle and establish a log management system; The log management system is used to analyze and determine whether the cloud rendering system fails or is abnormal, and whether the failure or abnormality is related to the dongle.

3. The cloud rendering node machine dongle detection method according to claim 1, characterized in that: The information of the dongle includes the attributes and status of the dongle, wherein the attributes include the serial number, license information and version number of the dongle; the status includes the running status and current status of the dongle; The driver is connected to the monitoring system through the operating system.

4. The cloud rendering node machine dongle detection method according to claim 1, characterized in that: The monitoring system is provided with a real-time monitoring function, and the real-time monitoring function is used to periodically obtain the properties and status of the dongle and record the properties and status in a log; When the state and / or attribute of the dongle is abnormal, issuing an alarm and / or executing a preset business operation includes: analyzing the log based on preset rules and thresholds through the rendering backend and / or the monitoring system to determine whether the dongle is abnormal, and issuing an alarm and / or executing a preset business operation when it is abnormal.

5. The cloud rendering node machine dongle detection method according to claim 4, characterized in that: The rendering backend and / or the monitoring system analyzes the log based on preset rules and thresholds to determine whether the dongle is abnormal, including: Detecting whether the version number of the dongle is the same as the preset information through the rendering backend and / or the monitoring system; The rendering backend and / or the monitoring system detects whether the continuous disconnection time of the dongle exceeds a preset threshold.

6. The cloud rendering node machine dongle detection method according to claim 4, characterized in that: The issuing of an alarm and / or executing a preset business operation in the event of an abnormality includes: Send out alarm in case of abnormality; and / or pause the current rendering task; and / or notify system administrators; And / or isolate the current cloud rendering node machine.

7. The cloud rendering node machine dongle detection method according to claim 2, characterized in that: The usage of the dongle includes the time, location and user information of each use of the dongle.

8. A cloud rendering node machine dongle detection system, characterized in that: include: A monitoring system, used to detect the status and properties of a dongle, wherein the dongle is embedded in a cloud rendering node machine, and a driver corresponding to the dongle is installed in the operating system of the cloud rendering node machine, wherein the driver is used to control the operation of the dongle and obtain information about the dongle; The monitoring system is also used to issue an alarm and / or execute a preset business operation when the state and / or attribute of the dongle is abnormal.

9. A cloud rendering node machine dongle detection device, characterized in that: The invention comprises a processor and a memory, wherein the processor is connected to the memory: Wherein, the processor is used to call and execute the program stored in the memory; The memory is used to store the program, and the program is at least used to execute the cloud rendering node machine dongle detection method according to any one of claims 1 to 7.

10. A cloud rendering system, characterized in that: include: A cloud rendering system and a cloud rendering node machine dongle detection system as claimed in claim 8.

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