Multi-service CPE (Customer Premise Equipment) test equipment

Abstract

The invention provides a multi-service CPE (Customer Premise Equipment) test device. The multi-service CPE test equipment comprises a service business generating and sending module used for the CPE equipment to generate a to-be-tested simulation service business corresponding to a to-be-tested item according to test demand information of the to-be-tested item, sending the to-be-tested simulation service business to a business evaluation system through a 5G base station and an exclusive channel corresponding to a 5G core network; and the data transmission performance evaluation module is used for evaluating the data transmission performance of the 5G core network for transmitting the to-be-tested simulation service business according to the data quality of the to-be-tested simulation service business by the business evaluation system to obtain a data transmission performance evaluation result corresponding to the 5G core network.

Description

Technical Field

[0001] The invention provides a multi-service CPE test device, belonging to the technical field of CPE test. Background Art

[0002] There are more and more new service businesses based on 5G private network applications, such as smart high-speed rail, autonomous driving, remote control / surgery, virtual / augmented reality, tactile Internet and factory automation. What these services and applications have in common is that the typical data type they transmit is machine type communication (MTC) data, and there are very strict constraints on the reliability of data transmission and end-to-end (E2E) delay: even the end-to-end delay is about 1 millisecond. This type of communication is called ultra-reliable and low-latency communication (URLLC).

[0003] For the services and application scenarios under the above-mentioned 5G private network, if the road test equipment of the 5G public network is used, not only is it necessary to be equipped with multiple auxiliary test equipment, but it is also impossible to adapt to the special business scenarios of the private network in a targeted manner, resulting in the inability to truly and reliably evaluate the performance of the 5G private network and ensure the normal use of new service businesses. Summary of the invention

[0004] The present invention provides a multi-service CPE testing method and system to solve the above technical problems existing in the prior art. The technical solutions adopted are as follows:

[0005] A multi-service CPE test device, the multi-service CPE test device comprising:

[0006] A service business generation and sending module is used for the CPE device to generate a simulated service business to be tested corresponding to the item to be tested according to the test requirement information of the item to be tested, and send the simulated service business to be tested to the service evaluation system through the dedicated channel corresponding to the 5G base station and the 5G core network;

[0007] The data transmission performance evaluation module is used for the service evaluation system to evaluate the data transmission performance of the 5G core network used to transmit the simulated service service to be tested according to the data quality of the simulated service service to be tested, and obtain the data transmission performance evaluation result corresponding to the 5G core network.

[0008] Furthermore, the service business generating and sending module includes:

[0009] A simulation service business generating module, used for extracting the test requirement information of the item to be tested, and generating a simulation service business corresponding to the item to be tested according to the test requirement information of the item to be tested;

[0010] A VR three-dimensional modeling module is used to perform VR three-dimensional modeling according to the geographic space covered by the 5G base station and the 5G core network to obtain a VR three-dimensional model;

[0011] A GPS data extraction module, used to extract GPS data of the 5G base station and 5G core network coverage;

[0012] The simulation service business to be tested is generated by a module for combining the simulation service business with the VR three-dimensional model and GPS data to obtain a visualized simulation service business to be tested corresponding to the simulation service business.

[0013] Further, the data transmission performance evaluation module includes:

[0014] A service data receiving module, used for the service evaluation system to receive the simulated service business to be tested in real time;

[0015] A data quality evaluation module, used for the service evaluation system to evaluate the data quality of the received simulation service business to be tested after receiving the simulation service business to be tested, and obtain the data quality evaluation result corresponding to the simulation service business to be tested;

[0016] The data transmission performance evaluation module is used to evaluate the data transmission performance of the 5G core network used to transmit the simulated service business to be tested according to the data quality evaluation result corresponding to the simulated service business to be tested, and obtain the data transmission performance evaluation result corresponding to the 5G core network.

[0017] Furthermore, the multi-service CPE test equipment further includes:

[0018] A resource allocation adjustment module, configured to adjust the network resource allocation of the 5G core network according to the data transmission performance evaluation result corresponding to the 5G core network;

[0019] Wherein, the resource allocation adjustment module includes:

[0020] A network resource allocation parameter extraction module, used to extract the network resource allocation parameters of the 5G core network for data transmission of the simulated service business to be tested, wherein the network resource allocation parameters include wireless spectrum resources, transmission bandwidth resources and CPU resource utilization;

[0021] An adjustment coefficient acquisition module, used to obtain the adjustment coefficient of network resource allocation according to the network resource allocation parameter of the data transmission combined with the data quality evaluation result corresponding to the simulated service business to be tested;

[0022] A resource allocation adjustment execution module is used to adjust the network resource allocation parameters of the 5G core network used to transmit the simulated service business to be tested by using the adjustment coefficient of the network resource allocation.

[0023] Further, the test method corresponding to the multi-service CPE test device includes:

[0024] The CPE device generates a simulated service business to be tested corresponding to the item to be tested according to the test requirement information of the item to be tested, and sends the simulated service business to be tested to the service evaluation system through the dedicated channel corresponding to the 5G base station and the 5G core network;

[0025] The service evaluation system evaluates the data transmission performance of the 5G core network used to transmit the simulated service service to be tested according to the data quality of the simulated service service to be tested, and obtains the data transmission performance evaluation result corresponding to the 5G core network.

[0026] Further, the CPE device generates a simulation service to be tested corresponding to the item to be tested according to the test requirement information of the item to be tested, including:

[0027] Extracting the test requirement information of the item to be tested, and generating a simulation service business corresponding to the item to be tested according to the test requirement information of the item to be tested;

[0028] Perform VR three-dimensional modeling according to the geographic space of the coverage area of ​​the 5G base station and the 5G core network to obtain a VR three-dimensional model;

[0029] Extract GPS data of the 5G base station and 5G core network coverage;

[0030] The simulation service business is combined with the VR three-dimensional model and GPS data to obtain a visualized simulation service business to be tested corresponding to the simulation service business.

[0031] Further, the service evaluation system evaluates the data transmission performance of the 5G core network used to transmit the simulated service service to be tested according to the data quality of the simulated service service to be tested, including:

[0032] The service evaluation system receives the simulated service business to be tested in real time;

[0033] After receiving the simulated service business to be tested, the service evaluation system evaluates the data quality of the received simulated service business to be tested, and obtains a data quality evaluation result corresponding to the simulated service business to be tested;

[0034] According to the data quality assessment result corresponding to the simulated service business to be tested, the data transmission performance of the 5G core network used to transmit the simulated service business to be tested is evaluated, and the data transmission performance assessment result corresponding to the 5G core network is obtained.

[0035] Furthermore, the multi-service CPE testing method further includes:

[0036] Adjusting the network resource allocation of the 5G core network according to the data transmission performance evaluation result corresponding to the 5G core network;

[0037] Among them, adjusting the network resource allocation of the 5G core network according to the data transmission performance evaluation result corresponding to the 5G core network includes:

[0038] Extracting network resource allocation parameters of the 5G core network for data transmission of the simulated service to be tested, wherein the network resource allocation parameters include wireless spectrum resources, transmission bandwidth resources and CPU resource utilization;

[0039] Obtaining an adjustment coefficient for network resource allocation according to the network resource allocation parameter for data transmission combined with a data quality assessment result corresponding to the simulated service business to be tested;

[0040] The network resource allocation adjustment coefficient is used to adjust the network resource allocation parameters of the 5G core network used to transmit the simulated service business to be tested.

[0041] Beneficial effects of the present invention:

[0042] A multi-service CPE test device proposed in the present invention generates various simulated service businesses to be tested through a CPE device, and sends the various simulated service businesses to be tested to a service evaluation system through dedicated channels of a 5G base station and a 5G core network in turn. The service evaluation system evaluates the data transmission performance of the various simulated service businesses to be tested transmitted through the 5G core network based on the data quality of the received various simulated service businesses to be tested. This system can truly and reliably evaluate the performance of the 5G private network and ensure the normal use of new service businesses. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A schematic diagram of the system of the present invention;

[0044] Figure 2 It is a schematic diagram of the CPE end of the present invention. DETAILED DESCRIPTION

[0045] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0046] In a typical configuration of the present application, the terminal, the device of the service network and the trusted party all include one or more processors (CPU), input / output interfaces, network interfaces and memories.

[0047] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0048] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory media such as modulated data signals and carrier waves.

[0049] The embodiment of the present invention provides a multi-service CPE test system, such as Figure 1 As shown, the multi-service CPE test system includes:

[0050] A service business generation and sending module is used for the CPE device to generate a simulated service business to be tested corresponding to the item to be tested according to the test requirement information of the item to be tested, and send the simulated service business to be tested to the service evaluation system through the dedicated channel corresponding to the 5G base station and the 5G core network;

[0051] The data transmission performance evaluation module is used for the service evaluation system to evaluate the data transmission performance of the 5G core network used to transmit the simulated service service to be tested according to the data quality of the simulated service service to be tested, and obtain the data transmission performance evaluation result corresponding to the 5G core network.

[0052] The working principle of the above technical solution is as follows: the CPE device generates various simulated service services to be tested, and sends the various simulated service services to be tested to the service evaluation system through the dedicated channels of the 5G base station and the 5G core network in turn;

[0053] The service evaluation system evaluates the data transmission performance of various simulated service services to be tested transmitted through the 5G core network based on the data quality of the received various simulated service services to be tested.

[0054] Here, this embodiment generates various simulated service businesses to be tested through the CPE device, and sends the various simulated service businesses to be tested to the service evaluation system through the dedicated channels of the 5G base station and the 5G core network in turn. The service evaluation system evaluates the data transmission performance of the various simulated service businesses to be tested transmitted through the 5G core network based on the data quality of the received various simulated service businesses to be tested, so as to truly and reliably evaluate the performance of the 5G private network and ensure the normal use of new service businesses.

[0055] The effect of the above technical solution is: the above technical solution of this embodiment generates various simulated service businesses to be tested through the CPE device, and sends the various simulated service businesses to be tested to the service evaluation system through the dedicated channels of the 5G base station and the 5G core network in turn. The service evaluation system evaluates the data transmission performance of various simulated service businesses to be tested transmitted through the 5G core network based on the data quality of the received various simulated service businesses to be tested. It can truly and reliably evaluate the performance of the 5G private network and ensure the normal use of new service businesses.

[0056] In one embodiment of the present invention, the service business generating and sending module includes:

[0057] A simulation service business generation module, used to extract the test requirement information of the item to be tested, and generate a simulation service business corresponding to the item to be tested according to the test requirement information of the item to be tested; wherein the simulation service business includes but is not limited to modeling high bandwidth, wide connection and low latency business;

[0058] A VR three-dimensional modeling module is used to perform VR three-dimensional modeling according to the geographic space covered by the 5G base station and the 5G core network to obtain a VR three-dimensional model;

[0059] A GPS data extraction module is used to extract GPS data of the 5G base station and the 5G core network coverage, and pre-store the GPS data of the 5G base station and the 5G core network coverage to the CPE device end for easy retrieval at any time;

[0060] The simulation service business to be tested is generated by a module for combining the simulation service business with the VR three-dimensional model and GPS data to obtain a visualized simulation service business to be tested corresponding to the simulation service business.

[0061] The working principle of the above technical solution is: first, various simulated service businesses are generated; then, VR three-dimensional modeling is performed according to the geographical space of the 5G base station and the 5G core network coverage to obtain the VR three-dimensional model, and the GPS data of the 5G base station and the 5G core network coverage is retrieved; here, the GPS data of the 5G base station and the 5G core network coverage can be pre-stored on the CPE device side for easy retrieval at any time; finally, each simulated service business is combined with the VR three-dimensional model and GPS data to obtain various visualized simulated service businesses to be tested.

[0062] The effect of the above technical solution is that by extracting the specific test requirement information of the project to be tested, the corresponding simulation service business can be accurately generated. This customized simulation service business can simulate the actual test scenario more accurately, thereby improving the pertinence and effectiveness of the test. The simulation service business is not limited to modeling high-bandwidth, wide-connection and low-latency services, but can also be expanded and customized according to specific test requirements. This diversified simulation service can cover more test scenarios and business requirements, providing comprehensive support for testing work.

[0063] By combining VR three-dimensional models and GPS data, the simulation service business is transformed into a visualized simulation service business to be tested. This display method enables testers to intuitively understand the test scenario and service characteristics, which facilitates the analysis and resolution of problems. The GPS data of the 5G base station and 5G core network coverage is pre-stored on the CPE device side for easy retrieval at any time. This method improves the utilization efficiency of data, reduces the time cost of data acquisition, and also provides strong data support for subsequent testing work. The overall technical solution provides comprehensive, accurate and efficient support for testing work through the generation of simulation service business, VR three-dimensional modeling, GPS data pre-storage and visual display. This helps to improve test efficiency, reduce test costs, and improve the accuracy of test results.

[0064] In summary, this technical solution has brought significant technical effects to the testing of 5G industrial communication terminals through precise matching of test requirements, diversified simulation services, intuitive visualization, efficient data management and utilization, and improved test efficiency and accuracy.

[0065] In one embodiment of the present invention, the data transmission performance evaluation module includes:

[0066] A service data receiving module, used for the service evaluation system to receive the simulated service business to be tested in real time;

[0067] A data quality evaluation module, used for the service evaluation system to evaluate the data quality of the received simulation service business to be tested after receiving the simulation service business to be tested, and obtain the data quality evaluation result corresponding to the simulation service business to be tested;

[0068] The data transmission performance evaluation module is used to evaluate the data transmission performance of the 5G core network used to transmit the simulated service business to be tested according to the data quality evaluation result corresponding to the simulated service business to be tested, and obtain the data transmission performance evaluation result corresponding to the 5G core network.

[0069] The working principle of the above technical solution is: In the first embodiment of the multi-service CPE (Customer Premise(s) Equipment) test method of this embodiment, various simulated service businesses include: modeling high bandwidth (eMBB), wide connection (mMTC) and low latency (URLLC) businesses.

[0070] In an embodiment of the multi-service CPE (Customer Premise(s) Equipment) test method of this embodiment, the service evaluation system evaluates the data transmission performance of various simulated service services to be tested transmitted through the 5G core network based on the data quality of various simulated service services to be tested received, including:

[0071] At the same time, the service evaluation system evaluates the VR three-dimensional model display quality in various simulated service businesses to be tested and the performance quality of the corresponding simulated service businesses based on the received visualized data quality of various simulated service businesses to be tested.

[0072] Here, the service evaluation system may include: high bandwidth (eMBB), wide connection (mMTC) and low latency (URLLC) services and scalable service evaluation subsystems, each evaluation subsystem includes VR three-dimensional map display quality such as whether there is lag and new service performance quality, and the software of the service evaluation system can be installed on a server or computer on the cloud platform side.

[0073] The effect of the above technical solution is: the above technical solution of this embodiment can predict the network resource requirements of various simulated service businesses to be tested based on the evaluation results of data transmission performance, so as to facilitate the subsequent accurate allocation and adjustment of network resources. The service evaluation system can force the call of various simulated service businesses to be tested (eMBB, mMTC and URLLC, etc.) of the CPE device.

[0074] In one embodiment of the present invention, the multi-service CPE test system further includes:

[0075] A resource allocation adjustment module, configured to adjust the network resource allocation of the 5G core network according to the data transmission performance evaluation result corresponding to the 5G core network, so as to match the network resource demand corresponding to the data transmission of the 5G core network and the simulated service business to be tested;

[0076] Wherein, the resource allocation adjustment module includes:

[0077] A network resource allocation parameter extraction module, used to extract the network resource allocation parameters of the 5G core network for data transmission of the simulated service business to be tested, wherein the network resource allocation parameters include wireless spectrum resources, transmission bandwidth resources and CPU resource utilization;

[0078] An adjustment coefficient acquisition module, used to obtain the adjustment coefficient of network resource allocation according to the network resource allocation parameter of the data transmission combined with the data quality evaluation result corresponding to the simulated service business to be tested;

[0079] A resource allocation adjustment execution module is used to adjust the network resource allocation parameters of the 5G core network used to transmit the simulated service business to be tested by using the adjustment coefficient of the network resource allocation.

[0080] The working principle of the above technical solution is as follows: First, the system extracts the network resource allocation parameters related to the simulated service business to be tested from the 5G core network. These parameters are key resource indicators used by the core network during data transmission, including wireless spectrum resources, transmission bandwidth resources and CPU resource utilization. The extraction of these parameters is the basis for subsequent analysis and adjustment, and can reflect the current network resource usage and allocation strategy.

[0081] Next, the system will calculate the adjustment coefficient of network resource allocation based on the extracted network resource allocation parameters and the data quality assessment results corresponding to the simulated service business to be tested. The data quality assessment result is a comprehensive assessment of the accuracy, integrity, and latency of the data of the simulated service business during the transmission process. It reflects the performance of the simulated service business under the current network resource allocation. By combining the network resource allocation parameters with the data quality assessment results, the system can identify the unreasonable aspects of resource allocation and calculate the corresponding adjustment coefficient to optimize the network resource allocation.

[0082] Finally, the system will adjust the network resource allocation parameters of the 5G core network used to transmit the simulated service business to be tested based on the calculated network resource allocation adjustment coefficient. The purpose of the adjustment is to optimize the resource allocation strategy and improve resource utilization, thereby improving the transmission performance and data quality of the simulated service business.

[0083] The technical effect of the above technical solution is: by dynamically adjusting the network resource allocation parameters, the system can allocate and utilize network resources more reasonably to avoid waste and idleness of resources. It improves the resource utilization of the entire 5G core network and reduces operating costs. The adjusted network resource allocation strategy can better meet the transmission requirements of the simulation service business to be tested, and improve the rate, stability and reliability of data transmission. It improves the overall performance of the simulation service business and meets the requirements of industrial communications for high reliability and low latency.

[0084] Optimized network resource allocation can reduce problems such as delays and packet loss in data transmission, and improve the user experience when using simulation services. This is of great significance for improving user satisfaction and market competitiveness of industrial communication terminals. The above technical solution can generate corresponding simulation service businesses according to different test requirements and make customized resource allocation adjustments. It provides strong support for customized testing in the field of industrial communications and helps promote the innovation and development of industrial communication technology.

[0085] In addition, the multi-service CPE test device based on the 5G private network includes:

[0086] A CPE device is used for the CPE device to generate a simulated service business to be tested corresponding to the item to be tested according to the test requirement information of the item to be tested, and send the simulated service business to be tested to the service evaluation system through the dedicated channel corresponding to the 5G base station and the 5G core network;

[0087] A service evaluation system is used to evaluate the data transmission performance of a 5G core network used to transmit the simulated service service to be tested according to the data quality of the simulated service service to be tested, and obtain a data transmission performance evaluation result corresponding to the 5G core network.

[0088] like Figure 2 As shown in the figure, in actual applications, CPE equipment can be divided into three parts:

[0089] The first part is the new service business simulator, which can be integrated into the system of the CPE device or implemented by a separate chip. It can model other scalable services such as high bandwidth (eMBB), wide connection (mMTC) and low latency (URLLC) services according to the characteristic values ​​of the new service business, integrate the segmented simulation business into the system core of the CPE or implement it by a separate chip, and use VNF virtualization technology (Virtual Network Function) for isolation and calling; among them, Figure 2As shown, the system of the CPE device or a separate chip may include a virtual computer (Virtual Computing), a virtual storage (Vritual Sforage), a virtual network (Virtual Network), computing hardware (Computing Hardware), storage hardware (Storage Hardware) and a hardware network (Hardware Network).

[0090] The second part is the GPS and VR processing unit, which will perform VR 3D modeling based on the geographic space covered by the 5G private network, and then combine the new simulation service business, GPS and VR 3D model to present a visualized business experience for the new service business;

[0091] The third part is the common CPE functional module, which has the functions of routing forwarding and application data processing.

[0092] In the above system, various simulation service businesses include: modeling high bandwidth, wide connection and low latency business.

[0093] In the above system, the service evaluation system evaluates the VR three-dimensional model display quality in various simulated service businesses to be tested and the performance quality of the corresponding simulated service businesses based on the received visualized data quality of various simulated service businesses to be tested.

[0094] Here, the service evaluation system may include: high bandwidth (eMBB), wide connection (mMTC) and low latency (URLLC) services and scalable service evaluation subsystems, each evaluation subsystem includes VR three-dimensional map display quality such as whether there is lag and new service performance quality, and the software of the service evaluation system can be installed on a server or computer on the cloud platform side.

[0095] In the above system, the service evaluation system is also used to predict the network resource requirements of various simulated service businesses to be tested based on the evaluation results of data transmission performance.

[0096] Here, based on the evaluation results of data transmission performance, the network resource requirements of various simulated services to be tested can be predicted to facilitate subsequent accurate allocation and adjustment of network resources.

[0097] The service evaluation system can force the invocation of various simulated service services to be tested (eMBB, mMTC, URLLC, etc.) of the CPE device.

[0098] The above-mentioned technical scheme of this embodiment generates various simulated service businesses to be tested through CPE equipment, and sends various simulated service businesses to be tested to the service evaluation system through the dedicated channels of 5G base station and 5G core network in turn. The service evaluation system evaluates the data transmission performance of various simulated service businesses to be tested transmitted through the 5G core network based on the data quality of the received various simulated service businesses to be tested. It can truly and reliably evaluate the performance of 5G private network and ensure the normal use of new service businesses.

[0099] The embodiment of the present invention provides a test method corresponding to a multi-service CPE test device, such as Figure 2 As shown, the multi-service CPE testing method includes:

[0100] Step 1: The CPE device generates a simulated service business to be tested corresponding to the item to be tested according to the test requirement information of the item to be tested, and sends the simulated service business to be tested to the service evaluation system through the dedicated channel corresponding to the 5G base station and the 5G core network;

[0101] Step 2. The service evaluation system evaluates the data transmission performance of the 5G core network used to transmit the simulated service service to be tested according to the data quality of the simulated service service to be tested, and obtains the data transmission performance evaluation result corresponding to the 5G core network.

[0102] The working principle of the above technical solution is as follows: the CPE device generates various simulated service services to be tested, and sends the various simulated service services to be tested to the service evaluation system through the dedicated channels of the 5G base station and the 5G core network in turn;

[0103] The service evaluation system evaluates the data transmission performance of various simulated service services to be tested transmitted through the 5G core network based on the data quality of the received various simulated service services to be tested.

[0104] Here, this embodiment generates various simulated service businesses to be tested through the CPE device, and sends the various simulated service businesses to be tested to the service evaluation system through the dedicated channels of the 5G base station and the 5G core network in turn. The service evaluation system evaluates the data transmission performance of the various simulated service businesses to be tested transmitted through the 5G core network based on the data quality of the received various simulated service businesses to be tested, so as to truly and reliably evaluate the performance of the 5G private network and ensure the normal use of new service businesses.

[0105] The effect of the above technical solution is: the above technical solution of this embodiment generates various simulated service businesses to be tested through the CPE device, and sends the various simulated service businesses to be tested to the service evaluation system through the dedicated channels of the 5G base station and the 5G core network in turn. The service evaluation system evaluates the data transmission performance of various simulated service businesses to be tested transmitted through the 5G core network based on the data quality of the received various simulated service businesses to be tested. It can truly and reliably evaluate the performance of the 5G private network and ensure the normal use of new service businesses.

[0106] In one embodiment of the present invention, a CPE device generates a simulated service business to be tested corresponding to the item to be tested according to test requirement information of the item to be tested, including:

[0107] Step 101: extracting the test requirement information of the item to be tested, and generating a simulation service business corresponding to the item to be tested according to the test requirement information of the item to be tested; wherein the simulation service business includes but is not limited to modeling high bandwidth, wide connection and low latency business;

[0108] Step 102: Perform VR three-dimensional modeling according to the geographic space of the 5G base station and the 5G core network coverage to obtain a VR three-dimensional model;

[0109] Step 103: extract the GPS data of the 5G base station and the 5G core network coverage, and pre-store the GPS data of the 5G base station and the 5G core network coverage to the CPE device end for easy retrieval at any time;

[0110] Step 104: Combine the simulation service with the VR three-dimensional model and GPS data to obtain a visualized simulation service to be tested corresponding to the simulation service.

[0111] The working principle of the above technical solution is: first, various simulated service businesses are generated; then, VR three-dimensional modeling is performed according to the geographical space of the 5G base station and the 5G core network coverage to obtain the VR three-dimensional model, and the GPS data of the 5G base station and the 5G core network coverage is retrieved; here, the GPS data of the 5G base station and the 5G core network coverage can be pre-stored on the CPE device side for easy retrieval at any time; finally, each simulated service business is combined with the VR three-dimensional model and GPS data to obtain various visualized simulated service businesses to be tested.

[0112] The effect of the above technical solution is that by extracting the specific test requirement information of the project to be tested, the corresponding simulation service business can be accurately generated. This customized simulation service business can simulate the actual test scenario more accurately, thereby improving the pertinence and effectiveness of the test. The simulation service business is not limited to modeling high-bandwidth, wide-connection and low-latency services, but can also be expanded and customized according to specific test requirements. This diversified simulation service can cover more test scenarios and business requirements, providing comprehensive support for testing work.

[0113] By combining VR three-dimensional models and GPS data, the simulation service business is transformed into a visualized simulation service business to be tested. This display method enables testers to intuitively understand the test scenario and service characteristics, which facilitates the analysis and resolution of problems. The GPS data of the 5G base station and 5G core network coverage is pre-stored on the CPE device side for easy retrieval at any time. This method improves the utilization efficiency of data, reduces the time cost of data acquisition, and also provides strong data support for subsequent testing work. The overall technical solution provides comprehensive, accurate and efficient support for testing work through the generation of simulation service business, VR three-dimensional modeling, GPS data pre-storage and visual display. This helps to improve test efficiency, reduce test costs, and improve the accuracy of test results.

[0114] In summary, this technical solution has brought significant technical effects to the testing of 5G industrial communication terminals through precise matching of test requirements, diversified simulation services, intuitive visualization, efficient data management and utilization, and improved test efficiency and accuracy.

[0115] In one embodiment of the present invention, the service evaluation system evaluates the data transmission performance of the 5G core network used to transmit the simulated service service to be tested according to the data quality of the simulated service service to be tested, including:

[0116] Step 201: the service evaluation system receives the simulated service to be tested in real time;

[0117] Step 202: After receiving the simulated service to be tested, the service evaluation system evaluates the data quality of the received simulated service to be tested, and obtains a data quality evaluation result corresponding to the simulated service to be tested;

[0118] Step 203: Evaluate the data transmission performance of the 5G core network used to transmit the simulated service business to be tested according to the data quality evaluation result corresponding to the simulated service business to be tested, and obtain the data transmission performance evaluation result corresponding to the 5G core network.

[0119] After receiving the simulated service business to be tested, the service evaluation system evaluates the data quality of the received simulated service business to be tested, and obtains the data quality evaluation result corresponding to the simulated service business to be tested, including:

[0120] Step 1: extracting data parameters corresponding to the simulated service business to be tested for evaluating data transmission quality from the received simulated service business to be tested, wherein the data parameters include a packet loss rate, a packet repetition rate, a timing error rate and data redundancy;

[0121] Step 2: using the packet loss rate, packet repetition rate, timing error rate and data redundancy to obtain a correlation degree value between the packet loss rate and the packet repetition rate, a correlation degree value between the packet loss rate and the error rate, a correlation degree value between the packet loss rate and the data redundancy, a correlation degree value between the packet repetition rate and the timing error rate, a correlation degree value between the packet repetition rate and the data redundancy, and a correlation degree value between the timing error rate and the data redundancy;

[0122] Step 3: Obtain a parameter correlation matrix R using the correlation degree values ​​between the packet loss rate and the packet repetition rate, the correlation degree values ​​between the packet loss rate and the error rate, the correlation degree values ​​between the packet loss rate and the data redundancy, the correlation degree values ​​between the packet repetition rate and the timing error rate, the correlation degree values ​​between the packet repetition rate and the data redundancy, and the correlation degree values ​​between the timing error rate and the data redundancy, and the structure of the parameter correlation matrix R is as follows:

[0123]

[0124] Where R represents the parameter correlation matrix; R ld Indicates the correlation between packet loss rate and packet repetition rate; R ls Indicates the correlation between packet loss rate and error rate; R lr Indicates the correlation between packet loss rate and data redundancy; R ds Indicates the correlation between the packet repetition rate and the timing error rate; R dr Indicates the correlation between packet repetition rate and data redundancy; R sr A numerical value indicating the degree of correlation between the timing error rate and data redundancy;

[0125] Step 4: Retrieve the initial weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy, and use the initial weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy to obtain the adjusted weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy, wherein the adjusted weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy are obtained by the following formula:

[0126] [W loss ,W dup ,W seq ,W red ]=[w loss ,w dup ,w seq ,w red ]·R

[0127] Among them, W loss , W dup , W seq and W red They represent the adjusted weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy respectively; w loss 、w dup 、w seq and w red They represent the initial weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy respectively;

[0128] Step 4: Perform time series analysis on the packet loss rate, packet repetition rate, timing error rate and data redundancy to obtain a dynamic change function f(t) of the packet loss rate, packet repetition rate, timing error rate and data redundancy over time, wherein the function structure of the dynamic change function f(t) is as follows:

[0129]

[0130] Where f(t) represents the dynamic change function; B max and B min They represent the maximum and minimum fluctuations of packet loss rate, packet repetition rate, timing error rate and data redundancy with their corresponding changes over time; B c Indicates the fluctuation benchmark value of the preset packet loss rate, packet repetition rate, timing error rate and data redundancy with the corresponding time changes; T xIndicates the length of the time period between the time points included in the total operation time of the 5G core network; t0 represents the average offset time of the peak period of fluctuations corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy; Y represents the preset offset value, usually Y = 1;

[0131] Step 5: Utilize the dynamic change function f(t) of the packet loss rate, packet repetition rate, timing error rate and data redundancy over time in combination with the adjusted weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy to obtain the data quality assessment parameters corresponding to the simulated service business to be tested, wherein the data quality assessment parameters are obtained by the following formula:

[0132]

[0133] Where S represents the data quality assessment parameter; W e Represents the compensation coefficient; S loss The corresponding parameter representing the packet loss rate; S dup The corresponding parameter representing the packet repetition rate; S seq The corresponding parameter representing the timing error rate; S red The corresponding parameter representing data redundancy; W loss , W dup , W seq and W red Respectively represent the adjusted weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy; C represents the context adjustment coefficient, and the value range of the context adjustment coefficient is 0.8-1.5; wherein the compensation coefficient is obtained by the following formula:

[0134]

[0135] Among them, W loss , W dup , W seq and W red They represent the adjusted weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy respectively; w loss 、w dup 、w seq and w red They represent the initial weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy respectively;

[0136] At the same time, the corresponding parameters of the packet loss rate, the corresponding parameters of the packet repetition rate, the corresponding parameters of the timing error rate and the corresponding parameters of the data redundancy are obtained by the following formula:

[0137]

[0138] Among them, S loss The corresponding parameter representing the packet loss rate; S dup The corresponding parameter representing the packet repetition rate; S seq The corresponding parameter representing the timing error rate; S red The corresponding parameter representing data redundancy; W loss , W dup , W seq and W red They represent the adjusted weight values ​​corresponding to the packet loss rate, packet repetition rate, timing error rate and data redundancy respectively; T represents the number of time points included in the total operation time of the 5G core network; t represents the specific time point; P loss (t), P dup (t), S seq (t) and D loss (t) represents the data parameter values ​​of packet loss rate, packet repetition rate, timing error rate and data redundancy corresponding to time t;

[0139] Step 6: Compare the data quality assessment parameter with a preset parameter threshold. When the data quality assessment parameter is lower than the preset parameter threshold, it is determined that the data transmission performance of the 5G core network transmission is poor.

[0140] The working principle of the above technical solution is: In the first embodiment of the multi-service CPE (Customer Premise(s) Equipment) test method of this embodiment, various simulated service businesses include: modeling high bandwidth (eMBB), wide connection (mMTC) and low latency (URLLC) businesses.

[0141] In an embodiment of the multi-service CPE (Customer Premise(s) Equipment) test method of this embodiment, the service evaluation system evaluates the data transmission performance of various simulated service services to be tested transmitted through the 5G core network based on the data quality of various simulated service services to be tested received, including:

[0142] At the same time, the service evaluation system evaluates the VR three-dimensional model display quality in various simulated service businesses to be tested and the performance quality of the corresponding simulated service businesses based on the received visualized data quality of various simulated service businesses to be tested.

[0143] Here, the service evaluation system may include: high bandwidth (eMBB), wide connection (mMTC) and low latency (URLLC) services and scalable service evaluation subsystems, each evaluation subsystem includes VR three-dimensional map display quality such as whether there is lag and new service performance quality, and the software of the service evaluation system can be installed on a server or computer on the cloud platform side.

[0144] The effect of the above technical solution is: the above technical solution of this embodiment can predict the network resource requirements of various simulated service businesses to be tested based on the evaluation results of data transmission performance, so as to facilitate the subsequent accurate allocation and adjustment of network resources. The service evaluation system can force the call of various simulated service businesses to be tested (eMBB, mMTC and URLLC, etc.) of the CPE device.

[0145] On the other hand, by comprehensively considering multiple key parameters such as packet loss rate, packet repetition rate, timing error rate and data redundancy, and calculating the numerical value of the correlation between these parameters, the data transmission quality can be evaluated more comprehensively and accurately. The data quality parameters are dynamically adjusted through the correlation matrix and the initial weight value, making the evaluation process more flexible and adaptable. This dynamic adjustment can reflect the changes in the importance of each parameter under actual network conditions and improve the credibility of the evaluation results. At the same time, by performing time series analysis on the packet loss rate, packet repetition rate, timing error rate and data redundancy, the dynamic change function can be obtained, which can capture the trend and periodic fluctuation of data transmission quality over time. This time series analysis helps to identify and prevent potential transmission problems. Finally, the data quality evaluation parameters are calculated through a comprehensive evaluation formula and the compensation coefficient and context adjustment coefficient are introduced to provide a comprehensive and objective quality evaluation result. The compensation coefficient can correct the deviation caused by adjusting the weight of the correlation matrix, while the context adjustment coefficient can be corrected according to the specific application scenario to ensure that the evaluation result meets the actual needs.

[0146] At the same time, comprehensive consideration of multiple parameters and correlation analysis make the evaluation more comprehensive and accurate. Dynamic adjustment of weights and time series analysis improves the adaptability of the evaluation system to actual network conditions. Comprehensive evaluation parameters combined with compensation coefficients and context adjustment coefficients provide more objective evaluation results. The threshold comparison mechanism can detect transmission performance problems in a timely manner, facilitating optimization and improvement. Among them, the context adjustment coefficient is a coefficient used to adjust the final data quality score (DQS). It makes appropriate corrections to the evaluation results based on the specific application scenarios and context information to ensure that the evaluation results can more accurately reflect the actual transmission quality requirements. Specifically,

[0147] In the above data transmission quality assessment scenario, context mainly refers to specific application environments and requirements, including but not limited to the following aspects:

[0148] 1. Application type and importance:

[0149] Different types of applications have different requirements for data quality. For example, real-time video transmission is very sensitive to latency and packet loss, while file transmission may be more concerned with data redundancy and duplication.

[0150] 2. Business scenarios and uses:

[0151] Different business scenarios have different concerns about data quality. For example, in financial transaction systems, data accuracy and temporal consistency are crucial, while in social media applications, data packet loss rate may be more critical.

[0152] 3. User expectations and needs:

[0153] Users’ expectations of data quality will also affect the evaluation criteria. For example, enterprise users may require higher data transmission reliability, while ordinary consumers may tolerate minor problems in data transmission within a certain range.

[0154] 4. Network environment and conditions:

[0155] Different network environments (such as mobile networks, Wi-Fi networks, and wired networks) have different impacts on data transmission, and these factors need to be considered during the evaluation.

[0156] 5. Time and place:

[0157] The time and location of data transmission can also affect data quality. For example, network congestion during peak hours may result in poor data quality, while data transmission quality may be better during off-peak hours.

[0158] The specific examples of the value range of the context adjustment coefficient are as follows

[0159] The context adjustment coefficient ranges from [0.8, 1.5] to avoid distortion of the evaluation results due to over-adjustment.

[0160] For example, suppose the values ​​set in different application scenarios are as follows:

[0161] Application scenario 1: Real-time video transmission:

[0162] Application type: high; User expectation: high; Network environment: mobile network; Context adjustment coefficient C: 1.2

[0163] Application scenario 2: File transfer:

[0164] Application type: Medium; User expectation: Medium; Network environment: Wi-Fi network; Context adjustment coefficient C: 1.0

[0165] Application scenario 3: Ordinary web browsing:

[0166] Application type: low; User expectation: low; Network environment: wired network; Context adjustment coefficient C: 0.8

[0167] In one embodiment of the present invention, the multi-service CPE testing method further includes:

[0168] Adjusting the network resource allocation of the 5G core network according to the data transmission performance evaluation result corresponding to the 5G core network, so that the 5G core network matches the network resource demand corresponding to the data transmission of the simulated service business to be tested;

[0169] Among them, adjusting the network resource allocation of the 5G core network according to the data transmission performance evaluation result corresponding to the 5G core network includes:

[0170] S1. When the data quality assessment parameter is lower than a preset parameter threshold, extracting the network resource allocation parameter of the 5G core network for data transmission of the simulated service to be tested, wherein the network resource allocation parameter includes wireless spectrum resources, transmission bandwidth resources and CPU resource utilization;

[0171] S2. Obtain an adjustment coefficient for network resource allocation according to the network resource allocation parameter for data transmission combined with a data quality assessment result corresponding to the simulated service business to be tested; wherein the adjustment coefficient for network resource allocation is obtained by the following formula:

[0172]

[0173] Where S represents the data quality assessment parameter; S y represents the preset parameter threshold;

[0174] S3. Use the adjustment coefficient of the network resource allocation to adjust the network resource allocation parameters of the 5G core network used to transmit the simulated service business to be tested. That is, when the parameter needs to be adjusted upward, the increase ratio is X; when the parameter needs to be adjusted downward, the downward adjustment ratio is X;

[0175] The working principle of the above technical solution is as follows: First, the system extracts the network resource allocation parameters related to the simulated service business to be tested from the 5G core network. These parameters are key resource indicators used by the core network during data transmission, including wireless spectrum resources, transmission bandwidth resources and CPU resource utilization. The extraction of these parameters is the basis for subsequent analysis and adjustment, and can reflect the current network resource usage and allocation strategy.

[0176] Next, the system will calculate the adjustment coefficient of network resource allocation based on the extracted network resource allocation parameters and the data quality assessment results corresponding to the simulated service business to be tested. The data quality assessment result is a comprehensive assessment of the accuracy, integrity, and latency of the data of the simulated service business during the transmission process. It reflects the performance of the simulated service business under the current network resource allocation. By combining the network resource allocation parameters with the data quality assessment results, the system can identify the unreasonable aspects of resource allocation and calculate the corresponding adjustment coefficient to optimize the network resource allocation.

[0177] Finally, the system will adjust the network resource allocation parameters of the 5G core network used to transmit the simulated service business to be tested based on the calculated network resource allocation adjustment coefficient. The purpose of the adjustment is to optimize the resource allocation strategy and improve resource utilization, thereby improving the transmission performance and data quality of the simulated service business.

[0178] The technical effect of the above technical solution is: by dynamically adjusting the network resource allocation parameters, the system can allocate and utilize network resources more reasonably to avoid waste and idleness of resources. The resource utilization rate of the entire 5G core network is improved and the operating cost is reduced. The adjusted network resource allocation strategy can better meet the transmission requirements of the simulation service business to be tested, and improve the rate, stability and reliability of data transmission. The overall performance of the simulation service business is improved to meet the requirements of industrial communication for high reliability and low latency. Optimized network resource allocation can reduce problems such as delay and packet loss in data transmission, and improve the user experience when using simulation service business. It is of great significance to improve the user satisfaction and market competitiveness of industrial communication terminals. The above technical solution can generate corresponding simulation service business according to different test requirements, and make customized resource allocation adjustments for it. It provides strong support for customized testing in the field of industrial communication and helps promote the innovation and development of industrial communication technology.

[0179] At the same time, by evaluating the data transmission performance of the 5G core network in real time and dynamically adjusting the network resource allocation parameters (such as wireless spectrum resources, transmission bandwidth resources, and CPU resource utilization) according to the evaluation results, the efficient use of network resources can be ensured. This dynamic adjustment mechanism can respond to changes in network performance in a timely manner, optimize resource allocation, and improve the overall performance and stability of the network. When the data quality evaluation parameter is lower than the preset parameter threshold, the data transmission quality can be effectively improved by adjusting the network resource allocation. For example, by increasing the transmission bandwidth resources, the packet loss rate and timing error rate can be reduced, thereby improving the reliability and accuracy of data transmission. Adjusting the network resource allocation according to the data transmission requirements of the simulated service business to be tested can ensure the quality of service (QoS). Different types of services have different requirements for network resources. By adjusting resource allocation according to business requirements, the performance requirements of various services can be met and the user experience can be improved. At the same time, through real-time monitoring and adjustment, performance bottlenecks in the network can be identified and eliminated, and network performance can be optimized. For example, when it is detected that the CPU resource utilization is too high in a certain period of time, the load can be relieved by increasing CPU resources, thereby avoiding performance degradation caused by insufficient resources. Through refined resource management and adjustment, the utilization efficiency of network resources can be maximized and resource waste can be avoided. For example, by properly allocating wireless spectrum resources, we can improve spectrum utilization and reduce operating costs while ensuring data transmission quality. In addition, by dynamically adjusting network resource allocation parameters, we can enhance the network's adaptability to sudden traffic and emergencies. For example, when traffic surges during peak hours, we can quickly adjust bandwidth resources to cope with traffic peaks and ensure stable network operation.

[0180] In summary, this technical solution optimizes and improves the transmission performance of simulation service business by dynamically adjusting the network resource allocation parameters of the 5G core network, which has important technical effects and practical value.

[0181] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

[0182] It should be noted that the present invention can be implemented in software and / or a combination of software and hardware, for example, can be implemented using an application specific integrated circuit (ASIC), a general purpose computer or any other similar hardware device. In one embodiment, the software program of the present invention can be executed by a processor to implement the steps or functions described above. Similarly, the software program of the present invention (including related data structures) can be stored in a computer readable recording medium, for example, a RAM memory, a magnetic or optical drive or a floppy disk and the like. In addition, some steps or functions of the present invention can be implemented using hardware, for example, as a circuit that cooperates with a processor to perform each step or function.

[0183] In addition, a part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. The program instruction for calling the method of the present invention may be stored in a fixed or removable recording medium, and / or transmitted through a data stream in a broadcast or other signal-bearing medium, and / or stored in a working memory of a computer device that runs according to the program instruction. Here, according to an embodiment of the present invention, a device is included, the device including a memory for storing computer program instructions and a processor for executing program instructions, wherein, when the computer program instruction is executed by the processor, the device is triggered to run the method and / or technical solution based on the aforementioned multiple embodiments of the present invention.

[0184] It is obvious to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved. In addition, it is obvious that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the device claim can also be implemented by one unit or device through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0185] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A multi-service CPE test device, characterized in that: The multi-service CPE test equipment comprises: A service business generation and sending module is used for the CPE device to generate a simulated service business to be tested corresponding to the item to be tested according to the test requirement information of the item to be tested, and send the simulated service business to be tested to the service evaluation system through the dedicated channel corresponding to the 5G base station and the 5G core network; The data transmission performance evaluation module is used for the service evaluation system to evaluate the data transmission performance of the 5G core network used to transmit the simulated service service to be tested according to the data quality of the simulated service service to be tested, and obtain the data transmission performance evaluation result corresponding to the 5G core network.

2. The multi-service CPE test device according to claim 1, characterized in that: The service business generating and sending module comprises: A simulation service business generating module, used for extracting the test requirement information of the item to be tested, and generating a simulation service business corresponding to the item to be tested according to the test requirement information of the item to be tested; A VR three-dimensional modeling module is used to perform VR three-dimensional modeling according to the geographic space covered by the 5G base station and the 5G core network to obtain a VR three-dimensional model; A GPS data extraction module, used to extract GPS data of the 5G base station and 5G core network coverage; The simulation service business to be tested is generated by a module for combining the simulation service business with the VR three-dimensional model and GPS data to obtain a visualized simulation service business to be tested corresponding to the simulation service business.

3. The multi-service CPE test device according to claim 1, characterized in that: The data transmission performance evaluation module comprises: A service data receiving module, used for the service evaluation system to receive the simulated service business to be tested in real time; A data quality evaluation module, used for the service evaluation system to evaluate the data quality of the received simulation service business to be tested after receiving the simulation service business to be tested, and obtain the data quality evaluation result corresponding to the simulation service business to be tested; The data transmission performance evaluation module is used to evaluate the data transmission performance of the 5G core network used to transmit the simulated service business to be tested according to the data quality evaluation result corresponding to the simulated service business to be tested, and obtain the data transmission performance evaluation result corresponding to the 5G core network.

4. The multi-service CPE test device according to claim 1, characterized in that: The multi-service CPE test equipment further includes: A resource allocation adjustment module, configured to adjust the network resource allocation of the 5G core network according to the data transmission performance evaluation result corresponding to the 5G core network; Wherein, the resource allocation adjustment module includes: A network resource allocation parameter extraction module, used to extract the network resource allocation parameters of the 5G core network for data transmission of the simulated service business to be tested, wherein the network resource allocation parameters include wireless spectrum resources, transmission bandwidth resources and CPU resource utilization; An adjustment coefficient acquisition module, used to obtain the adjustment coefficient of network resource allocation according to the network resource allocation parameter of the data transmission combined with the data quality evaluation result corresponding to the simulated service business to be tested; A resource allocation adjustment execution module is used to adjust the network resource allocation parameters of the 5G core network used to transmit the simulated service business to be tested by using the adjustment coefficient of the network resource allocation.

5. The multi-service CPE test device according to claim 1, characterized in that: The test method corresponding to the multi-service CPE test device includes: The CPE device generates a simulated service business to be tested corresponding to the item to be tested according to the test requirement information of the item to be tested, and sends the simulated service business to be tested to the service evaluation system through the dedicated channel corresponding to the 5G base station and the 5G core network; The service evaluation system evaluates the data transmission performance of the 5G core network used to transmit the simulated service service to be tested according to the data quality of the simulated service service to be tested, and obtains the data transmission performance evaluation result corresponding to the 5G core network.

6. The multi-service CPE test device according to claim 5, characterized in that: The CPE device generates a simulation service to be tested corresponding to the item to be tested according to the test requirement information of the item to be tested, including: Extracting the test requirement information of the item to be tested, and generating a simulation service business corresponding to the item to be tested according to the test requirement information of the item to be tested; Perform VR three-dimensional modeling according to the geographic space of the coverage of the 5G base station and the 5G core network to obtain a VR three-dimensional model; Extract GPS data of the 5G base station and 5G core network coverage; The simulation service business is combined with the VR three-dimensional model and GPS data to obtain a visualized simulation service business to be tested corresponding to the simulation service business.

7. The multi-service CPE test device according to claim 5, characterized in that: The service evaluation system evaluates the data transmission performance of the 5G core network used to transmit the simulated service service to be tested according to the data quality of the simulated service service to be tested, including: The service evaluation system receives the simulated service business to be tested in real time; After receiving the simulated service business to be tested, the service evaluation system evaluates the data quality of the received simulated service business to be tested, and obtains a data quality evaluation result corresponding to the simulated service business to be tested; According to the data quality assessment result corresponding to the simulated service business to be tested, the data transmission performance of the 5G core network used to transmit the simulated service business to be tested is evaluated, and the data transmission performance assessment result corresponding to the 5G core network is obtained.

8. The multi-service CPE test device according to claim 5, characterized in that: The multi-service CPE testing method further includes: Adjusting the network resource allocation of the 5G core network according to the data transmission performance evaluation result corresponding to the 5G core network; Among them, adjusting the network resource allocation of the 5G core network according to the data transmission performance evaluation result corresponding to the 5G core network includes: Extracting network resource allocation parameters of the 5G core network for data transmission of the simulated service to be tested, wherein the network resource allocation parameters include wireless spectrum resources, transmission bandwidth resources and CPU resource utilization; Obtaining an adjustment coefficient for network resource allocation according to the network resource allocation parameter for data transmission combined with a data quality assessment result corresponding to the simulated service business to be tested; The network resource allocation adjustment coefficient is used to adjust the network resource allocation parameters of the 5G core network used to transmit the simulated service business to be tested.

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