A network link quality assessment method and system using hybrid state data calculation

Abstract

The present application relates to the technical field of quality assessment, and provides a network link quality assessment method and system for hybrid calculation of state data. The method comprises: verifying the first target network between the target server and the target security card to obtain the security verification result; collecting the service data transmission sample of the first target network; constructing a network assessment indicator set; performing a service execution test with the service data transmission sample, and collecting indicator parameters based on the network assessment indicator set to obtain an assessment indicator parameter set; performing a network transmission quality assessment based on the assessment indicator parameter set using a transmission quality assessment model to obtain a transmission quality assessment result. The present application solves the technical problem in the prior art that the network transmission quality is difficult to measure and cannot be evaluated in a targeted manner, and achieves the technical effect of quantitative assessment of network transmission quality.

Description

Technical Field

[0001] The present application relates to the technical field of quality assessment, and in particular to a network link quality assessment method and system for hybrid computing of state data. Background Art

[0002] The quality of network transmission mainly depends on the following key factors: bandwidth, which indicates the ability of the network's communication line to transmit data, that is, the maximum data rate that can be transmitted from one point to another in a unit of time. The wider the bandwidth, the higher the "maximum data rate" it can transmit; delay, the time required for a data packet to be transmitted from the source node to the destination node. If ping is used to test, its RTT can be used to reflect its status; packet loss, one or more data packets cannot be transmitted through the network to the destination node. The larger the value, the worse the quality, which can be achieved through tools such as ping and iperf; jitter, refers to the difference in the order, interval and triggering of data arrival. If the network delay jitter is relatively large, it means that there are certain problems with the network quality. In order to ensure good network transmission quality, these factors need to be fully considered and optimized.

[0003] In summary, the existing technology has the technical problem that it is difficult to measure the quality of network transmission and cannot be evaluated specifically. Summary of the invention

[0004] Based on this, it is necessary to provide a network link quality assessment method and system that can achieve quantitative assessment of network transmission quality by hybrid calculation of state data in response to the above technical problems.

[0005] In a first aspect, the present application provides a network link quality assessment method for hybrid calculation of state data, the method comprising: performing verification between a target server and a target security card on a first target network to obtain a security verification result; if the security verification result is verification passed, collecting a business data transmission sample of the first target network; constructing a network evaluation indicator set; performing a business execution test with the business data transmission sample, and collecting indicator parameters based on the network evaluation indicator set to obtain an evaluation indicator parameter set; performing a network transmission quality assessment based on the evaluation indicator parameter set using a transmission quality assessment model to obtain a transmission quality assessment result.

[0006] In the second aspect, the present application provides a network link quality assessment system for hybrid calculation of state data, the system comprising: a security verification result acquisition module, the security verification result acquisition module is used to verify the first target network between the target server and the target security card, and obtain the security verification result; a business data transmission sample collection module, the business data transmission sample collection module is used to collect the business data transmission sample of the first target network if the security verification result is verification passed; a network evaluation indicator set construction module, the network evaluation indicator set construction module is used to construct a network evaluation indicator set; an evaluation indicator parameter set acquisition module, the evaluation indicator parameter set acquisition module is used to perform a business execution test with the business data transmission sample, and collect indicator parameters based on the network evaluation indicator set to obtain an evaluation indicator parameter set; a transmission quality assessment result acquisition module, the transmission quality assessment result acquisition module is used to perform network transmission quality assessment according to the evaluation indicator parameter set using a transmission quality assessment model to obtain a transmission quality assessment result.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] First, the first target network is verified between the target server and the target security card to obtain a security verification result; secondly, if the security verification result is a passed verification, a service data transmission sample of the first target network is collected; next, a network evaluation indicator set is constructed; then, a service execution test is performed with the service data transmission sample, and indicator parameters are collected based on the network evaluation indicator set to obtain an evaluation indicator parameter set; finally, a transmission quality evaluation model is used to evaluate the network transmission quality according to the evaluation indicator parameter set to obtain a transmission quality evaluation result. This application solves the technical problem in the prior art that the network transmission quality is difficult to measure and cannot be evaluated in a targeted manner, and achieves the technical effect of quantitative evaluation of network transmission quality.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A schematic flow chart of a network link quality assessment method for hybrid calculation of state data in one embodiment;

[0011] Figure 2 A schematic diagram of a flow chart of verifying a target server and a target security card in a network link quality assessment method for hybrid calculation of state data in one embodiment;

[0012] Figure 3 It is a structural block diagram of a network link quality assessment system for hybrid calculation of status data in one embodiment.

[0013] Explanation of the reference numerals: security verification result acquisition module 11, business data transmission sample collection module 12, network evaluation index set construction module 13, evaluation index parameter set acquisition module 14, transmission quality evaluation result acquisition module 15. DETAILED DESCRIPTION

[0014] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0015] like Figure 1 As shown, the present application provides a network link quality assessment method for hybrid calculation of state data, the method comprising:

[0016] Performing verification between a target server and a target security card on the first target network to obtain a security verification result;

[0017] Evaluation indicators can be selected according to actual needs, including but not limited to network delay, packet loss rate, network bandwidth, etc. By using network testing tools such as ping, traceroute, etc., the network is tested regularly and relevant data is collected. The collected data is processed, including data cleaning, outlier processing, etc., and the specific values ​​of the evaluation indicators, such as average network delay, packet loss rate, etc., are calculated based on the processed data. The calculated evaluation indicators are compared with the preset thresholds to determine whether the network transmission quality meets the standards. Based on the judgment results, the network transmission quality is evaluated. The present application provides a network link quality evaluation method with mixed calculation of state data, which tests and evaluates the network transmission quality, achieving the effect of improving network transmission efficiency.

[0018] Build the first target network, and deploy the target server and target security card in it, ensure that the network connection is stable and the equipment is configured correctly. The goal of the verification is to ensure that the communication between the target server and the target security card in the first target network is secure. Build a simulated first target network environment, including the target server and target security card and other equipment, verify whether the physical security mechanism of the target security card can resist various attacks, such as side channel attacks, etc., and verify whether the encryption algorithm used by the target security card can resist computer attacks. Verify whether the communication between the target server and the target security card can guarantee the security attributes such as confidentiality, integrity and availability of information. According to the test results, analyze whether the communication between the target server and the target security card is secure enough to obtain the security verification results. By obtaining the security verification results, a basis is provided for the subsequent network transmission quality assessment.

[0019] like Figure 2 As shown, the control node and CPE node of the first target network are obtained;

[0020] The control node issues rules to the CPE nodes, the CPE nodes transmit data between each other, and the control node and the CPE nodes are equipped with security terminals;

[0021] Providing a true random number to the CPE node using the security terminal to generate a communication encryption key;

[0022] Authentication between the target server and the target security card is performed with the communication encryption key.

[0023] In the first target network, the control node and CPE node need to be identified first. The control node is usually responsible for managing and controlling various aspects of the network, while the CPE node is a user device or access point responsible for interacting with users and transmitting data. Once the control node is identified, network rules and configurations can be issued to the CPE node. These rules may include restrictions on data transmission, security policies, etc. The CPE nodes need to be able to transmit data securely, which usually involves the use of encryption technology to protect data and ensure its confidentiality and integrity. Security terminals are installed on the control node and the CPE node. These terminals can provide true random number generation, which is essential for generating communication encryption keys. The communication encryption key is generated on the CPE node using the true random number provided by the security terminal. This key will be used for subsequent communication encryption and decryption operations to ensure the secure transmission of data. Finally, the generated communication encryption key is used to perform verification operations between the target server and the target security card. This can include identity authentication, data integrity verification, etc. to ensure the security of communication. Ensure that the communication between the control node and the CPE node in the first target network is secure, while enhancing the security of the network.

[0024] The security terminal is connected to the target server and the target security card;

[0025] The target server provides access, random number supplement and CPE control instructions for the target security card;

[0026] The target security card provides a random number for the CPE node based on the access, random number supplement and CPE control instructions, performs data encryption and decryption between the CPE nodes, and generates the generated communication encryption key.

[0027] The security terminal is connected to the target server and the target security card to establish a secure communication channel between the three. The target server provides secure access services for the target security card to ensure that only authorized cards can access network resources. The target server regularly provides true random numbers to the target security card to supplement the random number generator in the card. According to the network management and security policy, the target server sends control instructions to the target security card, which can be used to guide the behavior of the card or adjust security parameters. Based on the random number and other parameters received from the target server, the target security card generates a random number suitable for the CPE node. Using the generated random number and other key materials, the target security card performs encryption and decryption operations on the data between the CPE nodes to ensure the secure transmission of the data. Combined with the random number and other parameters received from the target server, the target security card generates a communication encryption key for subsequent communication encryption and decryption. After completing the above steps, the target security card generates a communication encryption key for the CPE node based on the access, random number supplement and CPE control instructions received from the server. This key will be used to ensure the security of communication between CPE nodes. Through the above method, the target server, target security card and security terminal work together to provide end-to-end security for the communication between CPE nodes, including identity authentication, data encryption, decryption and key management, etc. Such an architecture can resist various potential security threats and ensure the security of data transmission.

[0028] If the security verification result is that the verification is passed, collecting a service data transmission sample of the first target network;

[0029] If the security verification result is passed, you can collect business data transmission samples of the first target network to further analyze the performance and security of the network. Clarify the target of the business data transmission samples to be collected, such as the source of the samples, the time period for collection, the type of data collected, etc., and deploy data collection tools, such as network traffic monitoring equipment or data capture software, at appropriate locations in the first target network. Ensure that the tool can capture the required business data transmission samples; start the data collection tool and set a suitable time period to capture business data transmission samples. Ensure that the collected samples contain complete transmission data packets and other related information; organize and analyze the collected business data transmission samples. You can analyze indicators such as the number, size, transmission rate, packet loss rate of data packets, as well as any potential security threats or abnormal behaviors. Based on the analysis results, generate a report on the business data transmission samples. The report should include basic information of the samples, analysis results, and recommended improvement measures. Comprehensively understand the business data transmission performance and security of the first target network, and provide strong support for the continuous optimization and improvement of the network. At the same time, regular security verification and collection and analysis of business data transmission samples are also important means to keep the network in good operation.

[0030] Construct a set of network evaluation indicators;

[0031] When constructing a set of network evaluation indicators, multiple factors should be considered, including network performance, security, availability, and scalability. In this application, the network evaluation indicator set includes network speed, network congestion, and packet loss rate. When constructing a set of network evaluation indicators, specific business needs and technical environment should be considered, and appropriate indicators should be selected to comprehensively evaluate the performance and security of the network. At the same time, it is recommended to evaluate the network regularly and make necessary adjustments and optimizations based on the evaluation results to ensure the continued stability and safe operation of the network.

[0032] The network evaluation index set includes: network speed, network congestion level and packet loss rate.

[0033] Network speed refers to the rate at which a host transmits data on digital communications, measured in bps (bit per second), and is usually measured using specific network performance testing tools. These tools can simulate data transmission in a variety of network environments to obtain network speed evaluation results. Network speed is one of the important indicators for evaluating network performance, and it directly affects the user experience and efficiency on the network; Network congestion refers to the congestion that may occur in the network when the data traffic in the network exceeds its processing capacity. This will lead to problems such as increased data transmission delay and increased packet loss rate. Network congestion can be detected by observing real-time data of network traffic or using network analysis tools. In addition, long-term traffic monitoring and data analysis can also provide in-depth insights into network congestion. Network congestion not only affects user experience, but may also lead to the loss of important data, thus negatively affecting the stability of the network; Packet loss rate refers to the ratio of the number of lost data packets to the number of data groups sent during network transmission. The packet loss rate can be calculated by sending a certain number of data packets and observing the number of received data packets. The higher the packet loss rate, the worse the stability of the network. The packet loss rate is a key indicator for evaluating network stability and reliability. In a network environment with high packet loss rate, data transmission may fail or be delayed, affecting the normal operation of applications. These three indicators are key factors in evaluating network performance and stability. By measuring and analyzing these indicators, we can gain a deep understanding of the network's operating status and take corresponding optimization measures to improve network performance and reliability.

[0034] Performing a service execution test with the service data transmission sample, and collecting indicator parameters based on the network evaluation indicator set to obtain an evaluation indicator parameter set;

[0035] Network speed, average rate: the average rate of data transmission through the network, maximum rate: the maximum rate achieved in network transmission, minimum rate: the minimum rate achieved in network transmission; network congestion level, average congestion delay: the average delay time of data packets in the network, maximum congestion delay: the maximum delay time of data packets in the network, congestion frequency: the number of times network congestion occurs within a certain period of time; packet loss rate: average packet loss rate, the average loss rate of data packets in network transmission; maximum packet loss rate: the maximum loss rate of data packets in network transmission; packet loss frequency: the number of packet loss events within a certain period of time. Through these evaluation indicator parameter sets, we can fully understand the performance of the network during business execution and identify possible problems and bottlenecks. This information has important guiding significance for network optimization and improvement, and can help administrators take corresponding measures to improve network performance and stability. At the same time, regular business execution testing and collection of evaluation indicator parameters are also important means to maintain network health.

[0036] Acquire network configuration information of the first target network;

[0037] Based on the digital twin technology, a virtual target network is established with the network configuration information;

[0038] Performing a service execution simulation on the service data transmission sample using the virtual target network;

[0039] The evaluation indicator parameter set is read using the business execution model result.

[0040] This step is to collect various parameters and configurations of the actual target network, such as topology, device parameters, routing strategies, etc. Digital twin technology is used to create a virtual copy of the network. This virtual network will be built based on the actual network configuration information collected from the first step. In this way, various simulations and tests can be performed without affecting the operation of the actual network. In this step, the transmission of actual business data will be simulated using a virtual target network. This can help understand the flow of data in the network and the performance bottlenecks or problems that may be encountered; after the simulation is completed, there will be a series of evaluation index parameters that can help evaluate the performance of the target network. These parameters may include but are not limited to data transmission delay, packet loss rate, throughput, etc. The operation of the target network is simulated through digital twin technology to better understand its performance and behavior, so as to optimize or improve it.

[0041] The network transmission quality is evaluated by using the transmission quality evaluation model according to the evaluation index parameter set to obtain a transmission quality evaluation result.

[0042] The transmission quality assessment model can be built according to network characteristics and business requirements. The type and complexity of the model can be adjusted according to the application scenario and requirements. The evaluation index parameters (such as delay, packet loss rate, throughput, etc.) collected in the previous step are input into the transmission quality assessment model. These parameters provide the model with the data required to evaluate network performance. The model will use one or more algorithms to process and calculate these parameters to obtain an evaluation result of the network transmission quality. This may include analyzing the trend of parameters, comparing benchmark values, calculating performance indicators, etc. The model will generate one or more measurement results about the network transmission quality. These results can be presented in the form of numerical values, charts or reports for easy understanding and analysis. Based on the transmission quality assessment results, further analysis can be carried out. The transmission quality assessment model provides a quantitative perspective on the performance of the first target network, which helps network administrators and decision makers make data-based decisions to improve the transmission quality and overall performance of the network.

[0043] The transmission quality assessment model is a fully connected neural network model;

[0044] Collecting a transmission quality evaluation sample set, wherein the transmission quality evaluation sample set includes a sample network speed data set, a sample network congestion degree data set, a sample packet loss rate data set, and a sample transmission quality sample set;

[0045] The neural network model is trained to convergence using the sample network speed data set, the sample network congestion degree data set, the sample packet loss rate data set and the sample transmission quality sample set to obtain the transmission quality assessment model;

[0046] The network transmission quality is evaluated by using the transmission quality evaluation model according to the evaluation index parameter set to obtain a transmission quality evaluation result.

[0047] Determine to use a fully connected neural network model as a tool for transmission quality assessment. This model is suitable for processing multi-dimensional and complex evaluation index parameters. In order to train the neural network model, a sample data set containing various network conditions is required, namely, a transmission quality assessment sample set. The transmission quality assessment sample set should include a sample network speed data set, a sample network congestion degree data set, a sample packet loss rate data set and a sample transmission quality sample set, which correspond to sample network speed data, network congestion degree data, packet loss rate data and transmission quality samples respectively. These sample data will be used to train and optimize the model; the fully connected neural network model is trained using the collected transmission quality assessment sample set so that it can learn and predict the transmission quality of the network from the input evaluation index parameters. The training process usually requires a lot of computing resources and time until the model reaches a convergence state, that is, the prediction accuracy of the model is no longer significantly improved. After the model training is completed, it can be used to evaluate the actual network transmission quality. The evaluation index parameters of the actual network are input into the trained neural network model, and the model will output one or more measurement results about the transmission quality based on its learned knowledge. Based on the transmission quality assessment results, further analysis can be carried out. By using a fully connected neural network model for transmission quality assessment, a large amount of complex data can be processed and useful information can be extracted from it, providing network administrators and decision makers with in-depth insights into network performance. This machine learning-based method can automatically learn and optimize, improving the accuracy and efficiency of the assessment. This application solves the technical problem in the prior art that it is difficult to measure network transmission quality and cannot be evaluated in a targeted manner, and achieves the technical effect of quantitatively evaluating network transmission quality.

[0048] like Figure 3 As shown, the embodiment of the present application includes a network link quality assessment system for hybrid calculation of state data, the system comprising:

[0049] A security verification result acquisition module 11, wherein the security verification result acquisition module 11 is used to perform verification between a target server and a target security card on the first target network to obtain a security verification result;

[0050] A business data transmission sample collection module 12, wherein the business data transmission sample collection module 12 is used to collect business data transmission samples of the first target network if the security verification result is verification passed;

[0051] A network evaluation indicator set construction module 13, wherein the network evaluation indicator set construction module 13 is used to construct a network evaluation indicator set;

[0052] An evaluation indicator parameter set acquisition module 14, wherein the evaluation indicator parameter set acquisition module 14 is used to perform a service execution test with the service data transmission sample, and collect indicator parameters based on the network evaluation indicator set to obtain an evaluation indicator parameter set;

[0053] The transmission quality evaluation result obtaining module 15 is used to perform network transmission quality evaluation according to the evaluation index parameter set using a transmission quality evaluation model to obtain a transmission quality evaluation result.

[0054] Furthermore, the embodiment of the present application also includes:

[0055] A control node acquisition module, wherein the control node acquisition module is used to acquire a control node and a CPE node of the first target network;

[0056] A security terminal installation module, wherein the control node sends rules to the CPE node, the CPE nodes transmit data between each other, and the control node and the CPE node are equipped with security terminals;

[0057] A communication encryption key generation module, the communication encryption key generation module is used to generate a communication encryption key by providing a true random number to the CPE node by the security terminal;

[0058] A verification execution module is used to execute verification between the target server and the target security card using the communication encryption key.

[0059] Furthermore, the embodiment of the present application also includes:

[0060] A security terminal access module, wherein the security terminal access module is used for the security terminal to access the target server and the target security card;

[0061] A target server module, wherein the target server module is used for the target server to provide access, random number supplement and CPE control instructions for the target security card;

[0062] A communication encryption key generation module, wherein the communication encryption key generation module is used by the target security card to provide random numbers for the CPE nodes based on the access, random number supplement and CPE control instructions, to encrypt and decrypt data between the CPE nodes, and to generate the communication encryption key.

[0063] For a specific embodiment of a network link quality assessment system for hybrid computing of state data, please refer to the embodiment of a network link quality assessment method for hybrid computing of state data described above, which will not be repeated here. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0064] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0065] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A network link quality assessment method based on state data hybrid calculation, characterized in that: The method comprises: Performing verification between a target server and a target security card on the first target network to obtain a security verification result; If the security verification result is that the verification is passed, collecting a service data transmission sample of the first target network; Construct a set of network evaluation indicators; Performing a service execution test with the service data transmission sample, and collecting indicator parameters based on the network evaluation indicator set to obtain an evaluation indicator parameter set; Using a transmission quality assessment model to perform network transmission quality assessment according to the assessment indicator parameter set to obtain a transmission quality assessment result; The service execution test is performed using the service data transmission sample, and indicator parameters are collected based on the network evaluation indicator set to obtain an evaluation indicator parameter set, including: Acquire network configuration information of the first target network; Based on the digital twin technology, a virtual target network is established with the network configuration information; Performing a service execution simulation on the service data transmission sample using the virtual target network; Reading the evaluation index parameter set based on the business execution simulation result; The step of performing verification between the target server and the target security card on the first target network to obtain a security verification result includes: Acquire a control node and a CPE node of the first target network, where the CPE node refers to a user equipment or an access point; The control node issues rules to the CPE nodes, the CPE nodes transmit data between each other, and the control node and the CPE nodes are equipped with security terminals; Using the security terminal to provide a true random number to the CPE node and generate a communication encryption key; performing authentication between the target server and the target security card using the communication encryption key; The step of providing a true random number to the CPE node and generating a communication encryption key by using the security terminal includes: The security terminal is connected to the target server and the target security card; The target server provides access, random number supplement and CPE control instructions for the target security card; The target security card provides a random number for the CPE node based on the access, random number supplement and CPE control instruction, performs data encryption and decryption between the CPE nodes and generates the generated communication encryption key; The network transmission quality evaluation is performed according to the evaluation index parameter set using the transmission quality evaluation model to obtain a transmission quality evaluation result, including: The transmission quality assessment model is a fully connected neural network model; Collecting a transmission quality evaluation sample set, wherein the transmission quality evaluation sample set includes a sample network speed data set, a sample network congestion degree data set, a sample packet loss rate data set, and a sample transmission quality sample set; The neural network model is trained to convergence using the sample network speed data set, the sample network congestion degree data set, the sample packet loss rate data set and the sample transmission quality sample set to obtain the transmission quality assessment model; The network transmission quality is evaluated by using the transmission quality evaluation model according to the evaluation index parameter set to obtain a transmission quality evaluation result.

2. The method according to claim 1, characterized in that The network evaluation index set includes: network speed, network congestion level and packet loss rate.

3. A network link quality assessment system for hybrid computing of state data, characterized in that: The system comprises: A security verification result acquisition module, the security verification result acquisition module is used to perform verification between a target server and a target security card on the first target network to obtain a security verification result; A business data transmission sample collection module, wherein the business data transmission sample collection module is used to collect business data transmission samples of the first target network if the security verification result is verification passed; A network evaluation indicator set construction module, wherein the network evaluation indicator set construction module is used to construct a network evaluation indicator set; An evaluation indicator parameter set acquisition module, the evaluation indicator parameter set acquisition module is used to perform a service execution test with the service data transmission sample, and collect indicator parameters based on the network evaluation indicator set to obtain an evaluation indicator parameter set; A transmission quality assessment result obtaining module, wherein the transmission quality assessment result obtaining module is used to perform network transmission quality assessment according to the assessment index parameter set using a transmission quality assessment model to obtain a transmission quality assessment result; The evaluation index parameter set acquisition module is used to perform the following steps: Acquire network configuration information of the first target network; Based on the digital twin technology, a virtual target network is established with the network configuration information; Performing a service execution simulation on the service data transmission sample using the virtual target network; Reading the evaluation index parameter set based on the business execution simulation result; The security verification result acquisition module is used to perform the following steps: Acquire a control node and a CPE node of the first target network, where the CPE node refers to a user equipment or an access point; The control node issues rules to the CPE nodes, the CPE nodes transmit data between each other, and the control node and the CPE nodes are equipped with security terminals; Using the security terminal to provide a true random number to the CPE node and generate a communication encryption key; performing authentication between the target server and the target security card using the communication encryption key; The security terminal is connected to the target server and the target security card; The target server provides access, random number supplement and CPE control instructions for the target security card; The target security card provides a random number for the CPE node based on the access, random number supplement and CPE control instruction, performs data encryption and decryption between the CPE nodes and generates the generated communication encryption key; The transmission quality evaluation result obtaining module is used to perform the following steps: The transmission quality assessment model is a fully connected neural network model; Collecting a transmission quality evaluation sample set, wherein the transmission quality evaluation sample set includes a sample network speed data set, a sample network congestion degree data set, a sample packet loss rate data set, and a sample transmission quality sample set; The neural network model is trained to convergence using the sample network speed data set, the sample network congestion degree data set, the sample packet loss rate data set and the sample transmission quality sample set to obtain the transmission quality assessment model; The network transmission quality is evaluated by using the transmission quality evaluation model according to the evaluation index parameter set to obtain a transmission quality evaluation result.

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