Terminal automation test method and system for quantum encrypted conversation

Abstract

The invention relates to the field of call testing, and discloses an automatic terminal testing method and system for a quantum cryptograph, and the method comprises the steps: controlling an integrated tester to simulate a plurality of network environments through an automatic testing platform, and controlling the quantum key distribution and network protocol stack simulation of a quantum cryptograph system through the automatic testing platform, controlling the test terminal to carry out quantum encrypted conversation in a plurality of network environments through the quantum encrypted conversation system, and obtaining quantum encrypted conversation data of the test terminal in the plurality of network environments; and determining a quantum encrypted call quality evaluation result according to the quantum encrypted call data of the test terminal in the plurality of network environments. And simulating a channel with a Doppler frequency shift characteristic, controlling the test terminal to carry out quantum encrypted conversation under the channel with the Doppler frequency shift characteristic through the quantum encrypted conversation system, and obtaining quantum encrypted conversation data of the test terminal under the channel with the Doppler frequency shift characteristic. According to the method and the device, efficient and full-scene quantum ciphertext testing is facilitated.

Description

Technical Field

[0001] The present application relates to the technical field of call testing, and more specifically, to a terminal automation testing method and system for quantum secret calls. Background Art

[0002] With the popularization of 5G technology and the rapid development of quantum communication technology, VoNR (Voice over New Radio), as the voice communication standard in the 5G era, is gradually becoming mainstream. Traditional encryption methods rely on the complexity of mathematical algorithms to ensure security, but in theory these methods may be cracked by more powerful computing power in the future. In call encryption technology, the introduction of quantum encryption technology provides unprecedented security for voice communication. Quantum Key Distribution (QKD) is a technology that uses the principles of quantum mechanics to achieve secure communication.

[0003] Quantum secret talk utilizes the non-replicability of quantum states and the randomness of quantum measurements, providing theoretically unconditionally secure information transmission. In complex network environments and actual application scenarios, the stability and performance of quantum secret talk services still face many challenges. For the testing of quantum secret talk, traditional testing methods often rely on manual operations, which are inefficient and difficult to cover all possible test scenarios. Therefore, it is particularly important to develop an efficient and comprehensive automated testing system. Summary of the invention

[0004] The purpose of this application is to provide a terminal automation testing method and system for quantum secret talk, which solves the technical problem that it is difficult to conduct efficient and full-scenario quantum secret talk testing, and achieves the technical effect of facilitating efficient and full-scenario quantum secret talk testing.

[0005] An embodiment of the present application provides an automated terminal testing method for quantum secret talk, the method comprising: controlling a comprehensive tester to simulate multiple network environments through an automatic testing platform, controlling the quantum key distribution and network protocol stack simulation of a quantum secret talk system through the automatic testing platform, and controlling a test terminal to conduct quantum secret talk calls in multiple network environments through the quantum secret talk system, and obtaining quantum secret talk call data of the test terminal in multiple network environments; determining a quantum secret talk call quality evaluation result based on the quantum secret talk call data of the test terminal in multiple network environments.

[0006] In a possible implementation, an automatic test platform is used to control a comprehensive tester to simulate multiple network environments, and the automatic test platform is used to control the quantum key distribution and network protocol stack simulation of the quantum secret talk system, and the test terminal is controlled to make quantum secret talk calls in multiple network environments through the quantum secret talk system, and the quantum secret talk call data of the test terminal in multiple network environments are obtained, including: controlling the comprehensive tester to simulate a channel with Doppler frequency shift characteristics through the automatic test platform, controlling the test terminal to make a quantum secret talk call in a channel with Doppler frequency shift characteristics through the quantum secret talk system, and obtaining the quantum secret talk call data of the test terminal in the channel with Doppler frequency shift characteristics; wherein the quantum secret talk call data includes signal strength, channel parameters, voice communication The quantum secret call quality evaluation results are determined according to the quantum secret call data of the test terminal in multiple network environments, including: under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is less than the preset signal-to-noise ratio, the distortion is less than the preset distortion, the delay is less than the preset delay and the packet loss rate is less than the preset packet loss rate, the quantum secret call quality in the high-speed mobile scenario is judged to be qualified; under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is greater than or equal to the preset signal-to-noise ratio, the distortion is greater than or equal to the preset distortion, the delay is greater than or equal to the preset delay and the packet loss rate is greater than or equal to the preset packet loss rate, the quantum secret call quality in the high-speed mobile scenario is judged to be unqualified.

[0007] In another possible implementation, the comprehensive tester is controlled by an automatic test platform to simulate multiple network environments, and the quantum key distribution and network protocol stack simulation of the quantum secret talk system are controlled by the automatic test platform, and the test terminal is controlled to conduct quantum secret talk calls in multiple network environments through the quantum secret talk system, and the quantum secret talk call data of the test terminal in multiple network environments are obtained. It also includes: controlling the comprehensive tester to simulate a multi-user concurrent channel through the automatic test platform, controlling multiple test terminals to conduct quantum secret talk calls in the multi-user concurrent channel through the quantum secret talk system, and obtaining the quantum secret talk call data of multiple test terminals in the multi-user concurrent channel; wherein the quantum secret talk call data includes signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate; according to the quantum secret talk call data of the comprehensive tester and the quantum secret talk system in multiple network environments, Determine the evaluation result of quantum secret talk call quality, including: when a preset proportion of test terminals among multiple test terminals have a voice quality signal-to-noise ratio less than a preset signal-to-noise ratio, a distortion less than a preset distortion, a delay less than a preset delay, and a packet loss rate less than a preset packet loss rate, and when the network bandwidth utilization of multiple test terminals under a multi-user concurrent channel is less than the preset network bandwidth utilization, the call quality of quantum secret talk in a high-speed mobile scenario is judged to be qualified; when a preset proportion of test terminals among multiple test terminals have a voice quality signal-to-noise ratio greater than or equal to a preset signal-to-noise ratio, a distortion greater than or equal to a preset distortion, a delay greater than or equal to a preset delay, and a packet loss rate greater than or equal to a preset packet loss rate, or when the network bandwidth utilization of multiple test terminals under a multi-user concurrent channel is greater than or equal to the preset network bandwidth utilization, the call quality of quantum secret talk in a high-speed mobile scenario is judged to be unqualified.

[0008] In another possible implementation, the comprehensive tester is controlled by the automatic test platform to simulate multiple network environments, and the quantum key distribution and network protocol stack simulation of the quantum secret talk system are controlled by the automatic test platform, and the test terminal is controlled to conduct quantum secret talk calls in multiple network environments through the quantum secret talk system, and the quantum secret talk call data of the test terminal in multiple network environments are obtained. It also includes: controlling the comprehensive tester through the automatic test platform to simulate a channel affected by bad weather, controlling multiple test terminals to conduct quantum secret talk calls in a channel simulated by bad weather through the quantum secret talk system, and obtaining the quantum secret talk call data of multiple test terminals in a channel simulated by bad weather; wherein the quantum secret talk call data includes signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate, and the signal affected by bad weather The signal strength and channel parameters of the channel are obtained by monitoring the actual environmental parameters and the signal strength and channel parameters corresponding to the actual environmental parameters; according to the quantum secret call data of the comprehensive tester and the quantum secret call system in multiple network environments, the quantum secret call quality evaluation results are determined, including: under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is less than the preset signal-to-noise ratio, the distortion is less than the preset distortion, the delay is less than the preset delay and the packet loss rate is less than the preset packet loss rate, the quantum secret call quality in the high-speed mobile scenario is judged to be qualified; under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is greater than or equal to the preset signal-to-noise ratio, the distortion is greater than or equal to the preset distortion, the delay is greater than or equal to the preset delay and the packet loss rate is greater than or equal to the preset packet loss rate, the quantum secret call quality in the high-speed mobile scenario is judged to be unqualified.

[0009] In another possible implementation, the method also includes: obtaining the actual network congestion rate of the quantum secret call system and the expected call quality index of the user, determining the ratio of the actual network congestion rate to the target network congestion rate as the network congestion index, and determining the ratio of the expected call quality index to the target call quality index as the call quality adjustment index; multiplying the network congestion index by the preset delay to obtain the adjusted delay; multiplying the network congestion index by the preset packet loss rate to obtain the adjusted packet loss rate; multiplying the call quality adjustment index by the preset signal-to-noise ratio to obtain the adjusted signal-to-noise ratio; multiplying the call quality adjustment index by the preset loss ratio to obtain the adjusted signal-to-noise ratio; The accuracy of the quantum secret call is determined by multiplying the truth degree by the adjusted distortion degree to obtain the adjusted distortion degree; when the voice quality signal-to-noise ratio is less than the adjusted signal-to-noise ratio, the distortion degree is less than the adjusted distortion degree, the delay is less than the adjusted delay, and the packet loss rate is less than the adjusted packet loss rate under the adjusted signal strength and adjusted channel parameters, the call quality of the quantum secret call in the high-speed mobile scenario is determined to be qualified; when the voice quality signal-to-noise ratio is greater than or equal to the adjusted signal-to-noise ratio, the distortion degree is greater than or equal to the adjusted distortion degree, the delay is greater than or equal to the adjusted delay, and the packet loss rate is greater than or equal to the adjusted packet loss rate under the adjusted signal strength and adjusted channel parameters, the call quality of the quantum secret call in the high-speed mobile scenario is determined to be unqualified.

[0010] In another possible implementation, the method also includes: determining, through an environment identification model, the type of test environment simulated by the comprehensive tester controlled by the automatic test platform according to the quantum secret talk call data; and determining, through a result detection model, the quantum secret talk call quality evaluation result according to the test environment type and the quantum secret talk call data.

[0011] An embodiment of the present application also provides a terminal automation test system for quantum secret talk, which adopts any of the above-mentioned terminal automation test methods for quantum secret talk, including: an automatic test platform, used to control the comprehensive tester to simulate multiple network environments, used to control the quantum key distribution and network protocol stack simulation of the quantum secret talk system, and used to control the test terminal to conduct quantum secret talk calls in multiple network environments through the quantum secret talk system, and obtain the quantum secret talk call data of the test terminal in multiple network environments; an analysis unit, used to determine the quantum secret talk call quality evaluation result according to the quantum secret talk call data of the test terminal in multiple network environments.

[0012] An embodiment of the present application also provides a terminal automation testing system for quantum secret conversation, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described above when executing the computer program.

[0013] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any of the above methods are implemented.

[0014] An embodiment of the present application also provides a computer program product, including a computer program, which implements the steps of any of the methods described above when executed by a processor.

[0015] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0016] The embodiment of the present application provides a terminal automation test method for quantum secret talk, and the method includes: controlling the comprehensive tester to simulate multiple network environments through the automatic test platform, and controlling the quantum key distribution and network protocol stack simulation of the quantum secret talk system through the automatic test platform, and controlling the test terminal to conduct quantum secret talk calls in multiple network environments through the quantum secret talk system, and obtaining the quantum secret talk call data of the test terminal in multiple network environments; according to the quantum secret talk call data of the test terminal in multiple network environments, determining the quantum secret talk call quality evaluation result. In the embodiment of the present application, the comprehensive tester is controlled by the automatic test platform to simulate multiple network environments, and the quantum key distribution and network protocol stack simulation of the quantum secret talk system are controlled by the automatic test platform, so as to realize the automatic test of quantum secret talk in multiple different call scenarios, and can automatically complete the quantum key management and network protocol simulation of the quantum secret talk system, thereby improving the efficiency and reliability of the automatic test of quantum secret talk. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, 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 application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0018] Figure 1 A flowchart of a terminal automation testing method for quantum secret conversation provided in an embodiment of the present application;

[0019] Figure 2 A schematic diagram of the working process of a terminal automation test method for quantum secret conversation provided in an embodiment of the present application;

[0020] Figure 3 A schematic diagram of the working process of a terminal automation test method for quantum secret conversation provided in an embodiment of the present application;

[0021] Figure 4 A schematic flow chart of a second terminal automation test method for quantum secret conversation provided in an embodiment of the present application;

[0022] Figure 5 A schematic diagram of a flow chart of a third terminal automation test method for quantum secret conversation provided in an embodiment of the present application;

[0023] Figure 6 A schematic diagram of the logical structure of a terminal automation test system for quantum secret conversation provided in an embodiment of the present application;

[0024] Figure 7A schematic diagram of the physical structure of a terminal automation test system for quantum secret conversation provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0026] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0027] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0028] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0029] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0030] Traditional quantum secret conversation testing methods often rely on manual operations, which are inefficient and difficult to cover all possible testing scenarios.

[0031] Based on the above reasons, the embodiment of the present application provides a terminal automation test method for quantum secret talk, and the method includes: controlling the comprehensive tester to simulate multiple network environments through the automatic test platform, and controlling the quantum key distribution and network protocol stack simulation of the quantum secret talk system through the automatic test platform, and controlling the test terminal to conduct quantum secret talk calls in multiple network environments through the quantum secret talk system, and obtaining the quantum secret talk call data of the test terminal in multiple network environments; according to the quantum secret talk call data of the test terminal in multiple network environments, determining the quantum secret talk call quality evaluation result. In the embodiment of the present application, the comprehensive tester is controlled by the automatic test platform to simulate multiple network environments, and the quantum key distribution and network protocol stack simulation of the quantum secret talk system are controlled by the automatic test platform, so as to realize the automatic test of quantum secret talk in multiple different call scenarios, and can automatically complete the quantum key management and network protocol simulation of the quantum secret talk system, thereby improving the efficiency and reliability of the automatic test of quantum secret talk.

[0032] In some scenarios, an automated terminal testing method for quantum secret calls in an embodiment of the present application can be applied to automated testing of quantum secret calls, and can automatically test the call quality of quantum secret calls in different network scenarios, thereby improving the automated testing efficiency and accuracy of quantum secret calls.

[0033] The following is a specific example of a terminal automation testing method for quantum secret calls provided in an embodiment of the present application.

[0034] Figure 1 A flow chart of a terminal automation test method for quantum secret conversation provided in an embodiment of the present application is shown as follows: Figure 1 As shown, the method includes S110 to S120, and S110 to S120 are described in detail below.

[0035] S110, control the comprehensive tester 2 to simulate multiple network environments through the automatic test platform 1, control the quantum key distribution and network protocol stack simulation of the quantum secret talk system 3 through the automatic test platform 1, and control the test terminal 11 to conduct quantum secret talk calls in multiple network environments through the quantum secret talk system 3, and obtain the quantum secret talk call data of the test terminal 11 in multiple network environments.

[0036] Figure 2 A schematic diagram of the working process of a terminal automation test method for quantum secret conversation provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, when the method is working, the comprehensive tester 2 can be controlled by the automatic test platform 1 to simulate multiple network environments. The multiple network environments may include network scenarios such as high-speed movement, multi-user concurrency, and network congestion, so as to comprehensively evaluate the performance of the quantum secret call service.

[0037] During operation, the quantum key distribution of the quantum secret talk system 3 can also be controlled through the automatic test platform 1. The automatic test platform 1 can control the quantum key distribution and management system of the quantum secret talk system 3, thereby ensuring the security of the quantum secret talk service during the test process.

[0038] During operation, the network protocol stack simulation of the quantum secret call system 3 can also be controlled through the automatic testing platform 1. When performing the network protocol stack simulation, it can simulate various protocol interactions in the VoLTE / VoNR communication process to improve the testing efficiency.

[0039] During the test, the test terminal 11 can be controlled to conduct quantum secret talk in multiple network environments through the quantum secret talk system 3, and the quantum secret talk call data of the test terminal 11 in multiple network environments can be obtained to implement the call quality test of the quantum secret talk.

[0040] Figure 3 A schematic diagram of the working process of a terminal automation test method for quantum secret conversation provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the automatic test platform 1 in the present method can be an automatic test system running on a computer, the comprehensive tester 2 can be a 4G / 5G comprehensive tester, and multiple quantum secret talk terminals can perform quantum secret talk tests in an OTA shielding box. The multiple quantum secret talk terminals in the OTA shielding box can be connected to the automatic test platform 1 through a USB interface.

[0041] like Figure 3 As shown, the antenna of the comprehensive tester 2 is arranged in the OTA shielding box so as to simulate various network environments through the comprehensive tester 2. The comprehensive tester 2 and the automatic test platform 1 are communicatively connected so as to realize the control of the working state of the comprehensive tester 2 by the automatic test platform 1.

[0042] like Figure 3 As shown, multiple quantum secret conversation terminals in the OTA shielding box can support quantum secret conversation through the quantum secret conversation system 3.

[0043] S120. Determine a quantum secret call quality evaluation result based on the quantum secret call data of the test terminal 11 in multiple network environments.

[0044] During operation, the quality evaluation result of the quantum secret call can be determined based on the quantum secret call data of the test terminal 11 in multiple network environments, thereby realizing automatic testing of the quantum secret call.

[0045] The beneficial effect brought about by the above implementation method is that the automatic test platform 1 controls the working state of the comprehensive tester 2, thereby improving the efficiency and accuracy of the automatic test of quantum secret conversation.

[0046] The beneficial effect brought about by the above implementation method is that the automatic testing platform can control the quantum key distribution and management system of the quantum secret talk system, thereby ensuring the security of the quantum secret talk service during the testing process.

[0047] The beneficial effect brought about by the above implementation method is that the test efficiency is improved by controlling various protocol interactions in the simulated VoLTE / VoNR communication process through the automatic test platform.

[0048] In some implementations, the automatic test platform 1 controls the comprehensive tester 2 to simulate multiple network environments, and the automatic test platform 1 controls the quantum key distribution and network protocol stack simulation of the quantum secret talk system 3, and controls the test terminal 11 to perform quantum secret talk calls in multiple network environments through the quantum secret talk system 3, and obtains the quantum secret talk call data of the test terminal 11 in multiple network environments, including: controlling the comprehensive tester 2 to simulate a channel with Doppler frequency shift characteristics through the automatic test platform 1, controlling the test terminal 11 to perform quantum secret talk calls in a channel with Doppler frequency shift characteristics through the quantum secret talk system 3, and obtaining the quantum secret talk call data of the test terminal 11 in the channel with Doppler frequency shift characteristics. Among them, the quantum secret talk call data includes signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate.

[0049] When simulating a network environment, the comprehensive tester 2 can be controlled by the automatic test platform 1 to simulate a channel with Doppler frequency shift characteristics to simulate signal changes in a high-speed mobile environment. When simulating a channel with Doppler frequency shift characteristics, the frequency offset, signal fading speed, etc. can be adjusted to make it close to the channel characteristics in an actual high-speed mobile scenario (such as a car driving on a highway or a high-speed train running).

[0050] When testing, the test terminal 11 can be controlled to conduct a quantum secret talk call in a channel with Doppler frequency shift characteristics through the quantum secret talk system 3, and the quantum secret talk call data of the test terminal 11 in the channel with Doppler frequency shift characteristics can be obtained.

[0051] During the test, the quantum secret call data obtained may include signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate.

[0052] In some implementations, the quantum secret call quality evaluation result is determined based on the quantum secret call data of the test terminal 11 in multiple network environments, including: under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is less than the preset signal-to-noise ratio, the distortion is less than the preset distortion, the delay is less than the preset delay, and the packet loss rate is less than the preset packet loss rate, the quantum secret call quality in the high-speed mobile scenario is determined to be qualified. Under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is greater than or equal to the preset signal-to-noise ratio, the distortion is greater than or equal to the preset distortion, the delay is greater than or equal to the preset delay, and the packet loss rate is greater than or equal to the preset packet loss rate, the quantum secret call quality in the high-speed mobile scenario is determined to be unqualified.

[0053] After obtaining the quantum secret talk call data, a judgment can be made under the preset signal strength and preset channel parameters. When the voice quality signal-to-noise ratio is less than the preset signal-to-noise ratio, the distortion is less than the preset distortion, the delay is less than the preset delay and the packet loss rate is less than the preset packet loss rate, it can be judged that the quality of the quantum secret talk call in the high-speed mobile scenario is qualified.

[0054] After obtaining the quantum secret talk call data, a judgment can be made under the preset signal strength and preset channel parameters. When the voice quality signal-to-noise ratio is greater than or equal to the preset signal-to-noise ratio, the distortion is greater than or equal to the preset distortion, the delay is greater than or equal to the preset delay, and the packet loss rate is greater than or equal to the preset packet loss rate, it can be judged that the quality of the quantum secret talk call in the high-speed mobile scenario is unqualified.

[0055] Exemplarily, the preset signal-to-noise ratio, the preset distortion, the preset delay and the preset packet loss rate may be set by empirical values.

[0056] The beneficial effect brought about by the above implementation method is that by simulating a channel with Doppler frequency shift characteristics to simulate the signal changes in a high-speed mobile environment, automatic testing of the call quality of quantum secret talk in a high-speed mobile scenario is achieved.

[0057] In some implementations, the comprehensive tester 2 is controlled by the automatic test platform 1 to simulate multiple network environments, and the quantum key distribution and network protocol stack simulation of the quantum secret talk system 3 are controlled by the automatic test platform 1, and the test terminal 11 is controlled to make quantum secret talk calls in multiple network environments through the quantum secret talk system 3, and the quantum secret talk call data of the test terminal 11 in multiple network environments are obtained, which also includes: controlling the comprehensive tester 2 to simulate a multi-user concurrent channel through the automatic test platform 1, controlling multiple test terminals 11 to make quantum secret talk calls in a multi-user concurrent channel through the quantum secret talk system 3, and obtaining the quantum secret talk call data of multiple test terminals 11 in a multi-user concurrent channel. Among them, the quantum secret talk call data includes signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate.

[0058] When simulating a network environment, the automatic test platform 1 can be used to control the comprehensive tester 2 to simulate a multi-user concurrent channel. Specifically, by adjusting parameters such as the channel bandwidth, noise level, and interference mode, a network environment similar to that of multiple users using quantum secret calls at the same time can be created.

[0059] When testing, multiple test terminals 11 can be controlled to conduct quantum secret conversations in a multi-user concurrent channel through the quantum secret conversation system 3, and quantum secret conversation data of multiple test terminals 11 in the multi-user concurrent channel can be obtained.

[0060] When testing, network monitoring tools (such as a network traffic analyzer) can be used to monitor network traffic and performance indicators in real time to monitor the network traffic of the simulated multi-user concurrent channel and ensure the reliability of the network environment of the simulated multi-user concurrent channel.

[0061] Exemplarily, quantum secret call data may include signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate.

[0062] In some implementations, the quantum secret call quality evaluation result is determined based on the quantum secret call data of the comprehensive tester 2 and the quantum secret call system 3 in multiple network environments, including: when a preset proportion of the test terminals 11 have a voice quality signal-to-noise ratio less than a preset signal-to-noise ratio, a distortion less than a preset distortion, a delay less than a preset delay, and a packet loss rate less than a preset packet loss rate, and when the network bandwidth utilization rate of the multiple test terminals 11 in a multi-user concurrent channel is less than a preset network bandwidth utilization rate, the quantum secret call quality in a high-speed mobile scenario is determined to be qualified. When a preset proportion of the test terminals 11 have a voice quality signal-to-noise ratio greater than or equal to a preset signal-to-noise ratio, a distortion greater than or equal to a preset distortion, a delay greater than or equal to a preset delay, and a packet loss rate greater than or equal to a preset packet loss rate, or when the network bandwidth utilization rate of the multiple test terminals 11 in a multi-user concurrent channel is greater than or equal to a preset network bandwidth utilization rate, the quantum secret call quality in a high-speed mobile scenario is determined to be unqualified.

[0063] After obtaining the quantum secret call data, if a preset proportion of the test terminals 11 among the multiple test terminals 11 have a voice quality signal-to-noise ratio that is less than a preset signal-to-noise ratio, a distortion that is less than a preset distortion, a delay that is less than a preset delay, and a packet loss rate that is less than a preset packet loss rate, and if the network bandwidth utilization of the multiple test terminals 11 under a multi-user concurrent channel is less than the preset network bandwidth utilization, it can be determined that the quantum secret call quality in the high-speed mobile scenario is qualified.

[0064] After obtaining the quantum secret call data, if a preset proportion of test terminals 11 among multiple test terminals 11 have a voice quality signal-to-noise ratio greater than or equal to a preset signal-to-noise ratio, a distortion greater than or equal to a preset distortion, a delay greater than or equal to a preset delay, and a packet loss rate greater than or equal to a preset packet loss rate, or if the network bandwidth utilization of multiple test terminals 11 in a multi-user concurrent channel is greater than or equal to a preset network bandwidth utilization, it can be determined that the quantum secret call quality in a high-speed mobile scenario is unqualified.

[0065] The beneficial effect brought about by the above implementation method is that by simulating multi-user concurrent channels, it is possible to simulate the quantum secret call quality test under network congestion conditions, thereby improving the efficiency of the quantum secret call test.

[0066] In some implementations, the comprehensive tester 2 is controlled by the automatic test platform 1 to simulate multiple network environments, and the quantum key distribution and network protocol stack simulation of the quantum secret talk system 3 are controlled by the automatic test platform 1, and the test terminal 11 is controlled to make quantum secret talk calls in multiple network environments through the quantum secret talk system 3, and the quantum secret talk call data of the test terminal 11 in multiple network environments are obtained, which also includes: controlling the comprehensive tester 2 to simulate a channel affected by bad weather through the automatic test platform 1, controlling multiple test terminals 11 to make quantum secret talk calls in a channel simulated by bad weather through the quantum secret talk system 3, and obtaining the quantum secret talk call data of multiple test terminals 11 in a channel simulated by bad weather. Among them, the quantum secret talk call data includes signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate, and the signal strength and channel parameters of the channel affected by bad weather are obtained by monitoring the actual environmental parameters and the signal strength and channel parameters corresponding to the actual environmental parameters.

[0067] When simulating the network environment, the automatic test platform 1 can be used to control the comprehensive tester 2 to simulate the channel affected by bad weather. By adjusting the attenuation coefficient, noise power, interference frequency and other parameters of the channel, the influence of bad weather such as heavy rain, heavy snow and strong wind on signal transmission can be simulated.

[0068] During the test, multiple test terminals 11 can be controlled to conduct quantum secret talk calls in a channel simulated by bad weather through the quantum secret talk system 3, and quantum secret talk call data of multiple test terminals 11 in the channel simulated by bad weather can be obtained.

[0069] Exemplarily, quantum secret call data may include signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate.

[0070] Exemplarily, the signal strength and channel parameters of the channel affected by severe weather are obtained by monitoring actual environmental parameters and the signal strength and channel parameters corresponding to the actual environmental parameters to improve the accuracy of the simulation of the actual environmental parameters and the signal strength and channel parameters corresponding to the actual environmental parameters.

[0071] In some implementations, the quantum secret call quality evaluation results are determined based on the quantum secret call data of the comprehensive tester 2 and the quantum secret call system 3 in multiple network environments, including: under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is less than the preset signal-to-noise ratio, the distortion is less than the preset distortion, the delay is less than the preset delay, and the packet loss rate is less than the preset packet loss rate, the quantum secret call quality in the high-speed mobile scenario is determined to be qualified. Under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is greater than or equal to the preset signal-to-noise ratio, the distortion is greater than or equal to the preset distortion, the delay is greater than or equal to the preset delay, and the packet loss rate is greater than or equal to the preset packet loss rate, the quantum secret call quality in the high-speed mobile scenario is determined to be unqualified.

[0072] After obtaining the quantum secret talk call data, under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is less than the preset signal-to-noise ratio, the distortion is less than the preset distortion, the delay is less than the preset delay and the packet loss rate is less than the preset packet loss rate, it can be judged that the quality of the quantum secret talk call in the high-speed mobile scenario is qualified.

[0073] After obtaining the quantum secret talk call data, under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is greater than or equal to the preset signal-to-noise ratio, the distortion is greater than or equal to the preset distortion, the delay is greater than or equal to the preset delay, and the packet loss rate is greater than or equal to the preset packet loss rate, it can be judged that the quality of the quantum secret talk call in the high-speed mobile scenario is unqualified.

[0074] The beneficial effect brought about by the above implementation method is that by simulating the impact of severe weather such as heavy rain, heavy snow, and strong winds on signal transmission, the call quality test efficiency of quantum secret talk in complex weather scenarios can be improved.

[0075] The beneficial effect brought about by the above-mentioned implementation method is that the signal strength and channel parameters of the channel affected by severe weather are obtained by monitoring the actual environmental parameters and the signal strength and channel parameters corresponding to the actual environmental parameters, which can improve the accuracy of the simulation of the signal strength and channel parameters affected by severe weather.

[0076] Figure 4 A flow chart of a second terminal automation test method for quantum secret conversation provided in an embodiment of the present application is shown as follows: Figure 4 As shown, the above method further includes S210 to S230, and S210 to S230 are described in detail below.

[0077] S210. Obtain the actual network congestion rate of the quantum secret talk system 3 and the user's expected call quality index, determine the ratio of the actual network congestion rate to the target network congestion rate as the network congestion index, and determine the ratio of the expected call quality index to the target call quality index as the call quality adjustment index.

[0078] When conducting a quantum secret call quality assessment, the user's expected call quality can be obtained, and the criteria for whether the quantum secret call passes the test can be dynamically adjusted to improve the level of personalization of the quantum secret call quality assessment.

[0079] During operation, the expected call quality index of the user of the quantum secret talk system 3 can be obtained. The expected call quality index can be user-defined to improve the personalization of the quantum secret talk quality monitoring.

[0080] During operation, the target call quality index of the quantum secret talk system 3 can be obtained, and the target call quality index represents the designed call quality index in the test.

[0081] During operation, a ratio of the expected call quality index to the target call quality index may be determined as a call quality adjustment index, which represents the difference between the user-defined call quality and the designed call quality.

[0082] During operation, the actual network congestion rate of the quantum secret talk system 3 can be obtained. The network congestion rate represents the actual degree of network congestion in the test. The actual network congestion rate can be detected by a network monitor.

[0083] During operation, the target network congestion rate of the quantum secret conversation system 3 can be obtained, and the target network congestion rate represents the designed network congestion degree in the test.

[0084] During operation, the ratio of the actual network congestion rate to the target network congestion rate can be determined as a network congestion index. The network congestion index represents the difference between the actual network congestion level and the designed network congestion level.

[0085] S220, multiply the network congestion index by the preset delay to obtain an adjusted delay. Multiply the network congestion index by the preset packet loss rate to obtain an adjusted packet loss rate. Multiply the call quality adjustment index by the preset signal-to-noise ratio to obtain an adjusted signal-to-noise ratio. Multiply the call quality adjustment index by the preset distortion to obtain an adjusted distortion.

[0086] After obtaining the network congestion index, the evaluation indicators can be adjusted according to the network congestion index. The network congestion index and the preset delay can be multiplied to obtain the adjusted delay; the network congestion index and the preset packet loss rate can be multiplied to obtain the adjusted packet loss rate; the adjusted delay and the adjusted packet loss rate are evaluation indicators of the delay and packet loss rate adjusted according to the difference between the actual network congestion level and the designed network congestion level.

[0087] After obtaining the call quality adjustment index, the call quality adjustment index and the preset signal-to-noise ratio can be multiplied to obtain the adjusted signal-to-noise ratio; the call quality adjustment index and the preset distortion can be multiplied to obtain the adjusted distortion. The adjusted signal-to-noise ratio and the adjusted distortion are evaluation indicators after adjusting the signal-to-noise ratio and the distortion according to the difference between the user-defined call quality and the designed call quality.

[0088] S230. When the signal strength and channel parameters are adjusted, the voice quality signal-to-noise ratio is less than the adjusted signal-to-noise ratio, the distortion is less than the adjusted distortion, the delay is less than the adjusted delay, and the packet loss rate is less than the adjusted packet loss rate, the call quality of the quantum secret call in the high-speed mobile scenario is determined to be qualified. When the signal strength and channel parameters are adjusted, the voice quality signal-to-noise ratio is greater than or equal to the adjusted signal-to-noise ratio, the distortion is greater than or equal to the adjusted distortion, the delay is greater than or equal to the adjusted delay, and the packet loss rate is greater than or equal to the adjusted packet loss rate, the call quality of the quantum secret call in the high-speed mobile scenario is determined to be unqualified.

[0089] During the evaluation, when the signal strength and channel parameters are adjusted, if the voice quality signal-to-noise ratio is less than the adjusted signal-to-noise ratio, the distortion is less than the adjusted distortion, the delay is less than the adjusted delay, and the packet loss rate is less than the adjusted packet loss rate, it means that the call quality after adjustment based on the actual network congestion level and the user-defined call quality standard is still poor. It can be determined that the call quality of quantum secret calls in high-speed mobile scenarios is qualified.

[0090] During the evaluation, when the signal strength and channel parameters are adjusted, if the voice quality signal-to-noise ratio is greater than or equal to the adjusted signal-to-noise ratio, the distortion is greater than or equal to the adjusted distortion, the delay is greater than or equal to the adjusted delay, and the packet loss rate is greater than or equal to the adjusted packet loss rate, it means that the call quality after adjustment based on the actual network congestion level and the user-defined call quality standard is better, and it can be determined that the call quality of quantum secret talk in high-speed mobile scenarios is unqualified.

[0091] The beneficial effect brought about by the above implementation method is that, according to the user's expected call quality, the standard for whether the quantum secret call passes the test is dynamically adjusted to improve the personalization of the quantum secret call quality assessment, thereby meeting the subsequent user's demand for customized quantum secret call quality.

[0092] The beneficial effect brought about by the above-mentioned implementation method is that the network evaluation index is adjusted by the difference between the actual network congestion level and the designed network congestion level, so that the quality of quantum secret call can be evaluated according to the actual network congestion level, thereby improving the scientific nature of the evaluation of the quality of quantum secret call.

[0093] Figure 5 A schematic diagram of a third terminal automation test method for quantum secret conversation provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the above method also includes S310 to S320, and S310 to S320 are described in detail below.

[0094] S310. Determine the type of test environment simulated by the comprehensive tester 2 controlled by the automatic test platform 1 through the environment identification model according to the quantum secret call data.

[0095] When conducting tests, in order to further improve test efficiency, machine learning algorithms, such as support vector machines (SVM) or neural networks, can be used to analyze and classify test data. The model can then be trained to automatically identify normal and abnormal call quality in different scenarios and give corresponding judgment results.

[0096] By training the environment recognition model, the environment recognition model can be used to determine the type of test environment simulated by the comprehensive tester 2 controlled by the automatic test platform 1 according to the quantum secret call data. The test environment type is the test environment type obtained by automatically identifying the test environment.

[0097] S320. Determine the quantum secret talk quality evaluation result through the result detection model according to the test environment type and the quantum secret talk call data.

[0098] After obtaining the test environment type, the result detection model corresponding to the test environment type can be determined, and the quantum secret call quality evaluation result can be determined through the result detection model according to the test environment type and the quantum secret call data, so as to achieve accurate evaluation of the test results.

[0099] The beneficial effect brought about by the above implementation method is that during automatic testing, test parameters of multiple different environment types can be input and quantum secret call data can be obtained. The above method can automatically identify the test environment type and automatically evaluate the quality of quantum secret call according to the test environment type, thereby improving the efficiency of automated testing.

[0100] The beneficial effect brought about by the above-mentioned implementation method is that, during automatic testing, test parameters of multiple different environment types can be input, which can realize confusion testing of the quantum secret call environment, and the subsequent automatic identification of the test environment type can simulate the actual complex and changeable scenarios. The call quality evaluation of quantum secret calls can improve the reliability of the call quality evaluation of quantum secret calls.

[0101] Figure 6 A schematic diagram of the logical structure of a terminal automation test system for quantum secret conversation provided in an embodiment of the present application is shown in FIG. Figure 6 As shown, an embodiment of the present application also provides a terminal automation test system for quantum secret talk, which adopts any of the above-mentioned terminal automation test methods for quantum secret talk, including an automatic test platform 1 and an analysis unit 4. The automatic test platform 1 and the analysis unit 4 cooperate with each other to realize the terminal automation test of quantum secret talk.

[0102] When working, the automatic testing platform 1 is used to control the comprehensive tester 2 to simulate multiple network environments, to control the quantum key distribution and network protocol stack simulation of the quantum secret talk system 3, and to control the test terminal 11 to conduct quantum secret talk calls in multiple network environments through the quantum secret talk system 3, and to obtain the quantum secret talk call data of the test terminal 11 in multiple network environments.

[0103] When working, the analysis unit 4 is used to determine the quantum secret talk quality evaluation result according to the quantum secret talk data of the test terminal 11 in multiple network environments.

[0104] Exemplarily, the analysis unit 4 may be an analysis platform executed on a computer for analyzing the quantum secret call data obtained by the automatic test platform 1 .

[0105] The beneficial effects brought about by the embodiments of the present application have been described in the above method and will not be repeated here.

[0106] An embodiment of the present application also provides a terminal automation testing system for quantum secret conversation, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described above when executing the computer program.

[0107] Figure 7 A schematic diagram of the physical structure of a terminal automation test system for quantum secret conversation provided in an embodiment of the present application, such as Figure 7 As shown, the system 5 of this embodiment includes: at least one processor 50 ( Figure 7Only one processor 50 is shown in the figure), a memory 51, and a computer program 52 stored in the memory 51 and executable on the at least one processor 50, and when the processor 50 executes the computer program 52, the steps in any of the above-mentioned method embodiments are implemented.

[0108] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0109] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0110] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0111] An embodiment of the present application provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0112] If the integrated unit 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 present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0113] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0114] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0115] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods 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 through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0116] 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.

[0117] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A terminal automation test method for quantum secret conversation, characterized in that: The method comprises: The automatic test platform controls the comprehensive tester to simulate multiple network environments, and controls the quantum key distribution and network protocol stack simulation of the quantum secret talk system through the automatic test platform, and controls the test terminal to conduct quantum secret talk calls in multiple network environments through the quantum secret talk system, and obtains the quantum secret talk call data of the test terminal in multiple network environments; Based on the quantum secret call data of the test terminal in multiple network environments, the quality evaluation results of the quantum secret call are determined.

2. The method according to claim 1, characterized in that The automatic test platform controls the comprehensive tester to simulate multiple network environments, and controls the quantum key distribution and network protocol stack simulation of the quantum secret talk system through the automatic test platform, and controls the test terminal to conduct quantum secret talk in multiple network environments through the quantum secret talk system, and obtains the quantum secret talk data of the test terminal in multiple network environments, including: The comprehensive tester is controlled by the automatic test platform to simulate a channel with Doppler frequency shift characteristics, and the test terminal is controlled to perform quantum secret talk in the channel with Doppler frequency shift characteristics through the quantum secret talk system, and the quantum secret talk call data of the test terminal in the channel with Doppler frequency shift characteristics is obtained; wherein the quantum secret talk call data includes signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate; According to the quantum secret call data of the test terminal in multiple network environments, the quality evaluation results of the quantum secret call are determined, including: Under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is less than the preset signal-to-noise ratio, the distortion is less than the preset distortion, the delay is less than the preset delay and the packet loss rate is less than the preset packet loss rate, the call quality of the quantum secret talk in the high-speed mobile scenario is judged to be qualified; under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is greater than or equal to the preset signal-to-noise ratio, the distortion is greater than or equal to the preset distortion, the delay is greater than or equal to the preset delay and the packet loss rate is greater than or equal to the preset packet loss rate, the call quality of the quantum secret talk in the high-speed mobile scenario is judged to be unqualified.

3. The method according to claim 2, characterized in that The automatic test platform controls the comprehensive tester to simulate multiple network environments, and controls the quantum key distribution and network protocol stack simulation of the quantum secret talk system through the automatic test platform, and controls the test terminal to conduct quantum secret talk in multiple network environments through the quantum secret talk system, and obtains the quantum secret talk data of the test terminal in multiple network environments, and also includes: The comprehensive tester is controlled by the automatic test platform to simulate a multi-user concurrent channel, and multiple test terminals are controlled to conduct quantum secret conversations in the multi-user concurrent channel through the quantum secret conversation system, and the quantum secret conversation data of multiple test terminals in the multi-user concurrent channel are obtained; wherein, the quantum secret conversation data includes signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate; According to the quantum secret call data of the comprehensive tester and the quantum secret call system in multiple network environments, the quality evaluation results of the quantum secret call are determined, including: When a preset proportion of the test terminals among multiple test terminals have a voice quality signal-to-noise ratio less than a preset signal-to-noise ratio, a distortion less than a preset distortion, a delay less than a preset delay, and a packet loss rate less than a preset packet loss rate, and when the network bandwidth utilization of the multiple test terminals under a multi-user concurrent channel is less than the preset network bandwidth utilization, the call quality of the quantum secret talk in the high-speed mobile scenario is judged to be qualified; when a preset proportion of the test terminals among multiple test terminals have a voice quality signal-to-noise ratio greater than or equal to the preset signal-to-noise ratio, a distortion greater than or equal to the preset distortion, a delay greater than or equal to the preset delay, and a packet loss rate greater than or equal to the preset packet loss rate, or when the network bandwidth utilization of the multiple test terminals under a multi-user concurrent channel is greater than or equal to the preset network bandwidth utilization, the call quality of the quantum secret talk in the high-speed mobile scenario is judged to be unqualified.

4. The method according to claim 3, characterized in that The automatic test platform controls the comprehensive tester to simulate multiple network environments, and controls the quantum key distribution and network protocol stack simulation of the quantum secret talk system through the automatic test platform, and controls the test terminal to conduct quantum secret talk in multiple network environments through the quantum secret talk system, and obtains the quantum secret talk data of the test terminal in multiple network environments, and also includes: The comprehensive tester is controlled by the automatic test platform to simulate a channel affected by bad weather, and multiple test terminals are controlled to conduct quantum secret talk calls in the channel simulated by bad weather through the quantum secret talk system, and the quantum secret talk call data of multiple test terminals in the channel simulated by bad weather are obtained; wherein the quantum secret talk call data includes signal strength, channel parameters, voice call signal-to-noise ratio, distortion, delay and packet loss rate, and the signal strength and channel parameters of the channel affected by bad weather are obtained by monitoring the actual environmental parameters and the signal strength and channel parameters corresponding to the actual environmental parameters; According to the quantum secret call data of the comprehensive tester and the quantum secret call system in multiple network environments, the quality evaluation results of the quantum secret call are determined, including: Under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is less than the preset signal-to-noise ratio, the distortion is less than the preset distortion, the delay is less than the preset delay and the packet loss rate is less than the preset packet loss rate, the call quality of the quantum secret talk in the high-speed mobile scenario is judged to be qualified; under the preset signal strength and preset channel parameters, when the voice quality signal-to-noise ratio is greater than or equal to the preset signal-to-noise ratio, the distortion is greater than or equal to the preset distortion, the delay is greater than or equal to the preset delay and the packet loss rate is greater than or equal to the preset packet loss rate, the call quality of the quantum secret talk in the high-speed mobile scenario is judged to be unqualified.

5. The method according to claim 4, characterized in that The method further comprises: Obtain the actual network congestion rate of the quantum secret call system and the user's expected call quality index, determine the ratio of the actual network congestion rate to the target network congestion rate as the network congestion index, and determine the ratio of the expected call quality index to the target call quality index as the call quality adjustment index; The network congestion index is multiplied by the preset delay to obtain the adjusted delay; the network congestion index is multiplied by the preset packet loss rate to obtain the adjusted packet loss rate; the call quality adjustment index is multiplied by the preset signal-to-noise ratio to obtain the adjusted signal-to-noise ratio; the call quality adjustment index is multiplied by the preset distortion to obtain the adjusted distortion; When the signal strength and channel parameters are adjusted, when the voice quality signal-to-noise ratio is less than the adjusted signal-to-noise ratio, the distortion is less than the adjusted distortion, the delay is less than the adjusted delay, and the packet loss rate is less than the adjusted packet loss rate, the call quality of the quantum secret talk in the high-speed mobile scenario is judged to be qualified; when the signal strength and channel parameters are adjusted, when the voice quality signal-to-noise ratio is greater than or equal to the adjusted signal-to-noise ratio, the distortion is greater than or equal to the adjusted distortion, the delay is greater than or equal to the adjusted delay, and the packet loss rate is greater than or equal to the adjusted packet loss rate, the call quality of the quantum secret talk in the high-speed mobile scenario is judged to be unqualified.

6. The method according to claim 5, characterized in that The method further comprises: Through the environment identification model, according to the quantum secret call data, determine the type of test environment simulated by the comprehensive tester controlled by the automatic test platform; Through the result detection model, the quantum secret talk quality evaluation results are determined according to the test environment type and quantum secret talk call data.

7. A terminal automatic test system for quantum secret conversation, characterized in that: The terminal automation test method for quantum secret conversation according to any one of claims 1 to 6 comprises: Automatic test platform, used to control the comprehensive tester to simulate multiple network environments, to control the quantum key distribution and network protocol stack simulation of the quantum secret talk system, and to control the test terminal to conduct quantum secret talk in multiple network environments through the quantum secret talk system, and to obtain the quantum secret talk data of the test terminal in multiple network environments; The analysis unit is used to determine the quantum secret call quality evaluation result based on the quantum secret call data of the test terminal in multiple network environments.

8. A terminal automatic test system for quantum secret conversation, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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