Processing method and device of communication module, electronic equipment and storage medium

By simulating multi-dimensional communication parameter sequences and analyzing real-time data, the problem that existing testing methods cannot fully evaluate the performance of 5G RedCap terminal equipment communication modules has been solved, and the stability and reliability of the equipment in harsh environments have been improved.

CN122458053APending Publication Date: 2026-07-24SHANGHAI RUIYUAN INTELLIGENT TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI RUIYUAN INTELLIGENT TECHNOLOGY CO LTD
Filing Date
2026-05-15
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing testing methods for 5G RedCap terminal equipment communication modules cannot fully and realistically reproduce their comprehensive performance in harsh environments, resulting in inaccurate test results and affecting the stability and reliability of the equipment.

Method used

By acquiring multiple sets of communication parameter sequences, the target communication module is simulated to change under different communication environments, and multi-dimensional tests are conducted, including signal strength, signal quality, signal stability, and mobility. By combining the simulation system and real-time data analysis, a comprehensive and reliable testing system is constructed.

Benefits of technology

It enables precise testing of the comprehensive performance of the communication module of terminal equipment, improves the authenticity and accuracy of test results, and ensures the stability and reliability of the equipment in harsh environments.

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Patent Text Reader

Abstract

The application discloses a communication module processing method and device, electronic equipment and storage medium. The communication module processing method comprises the following steps: acquiring at least one group of communication parameter sequences for a target communication module, each group of communication parameter sequences comprising a plurality of same type communication quality associated parameters, and a communication parameter sequence being used for indicating the change trend of a type of communication quality associated parameter in the process of the target communication module moving from a first communication environment to a second communication environment; testing the target communication module based on the at least one group of communication parameter sequences, and acquiring module data generated by the target communication module in the testing process; and analyzing the module data of the target communication module to obtain a test result of the target communication module. The embodiment of the application can realize the collaborative joint testing of multi-dimensional communication parameters, effectively improve the accuracy and authenticity of the test result of the communication module, and significantly enhance the stability and use reliability of the terminal equipment in long-term operation.
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Description

Technical Field

[0001] This application relates to the field of mobile communication technology, and more particularly to the field of mobile device technology, specifically to a processing method, apparatus, electronic device, and storage medium for a communication module. Background Technology

[0002] With the rapid development of communication technology, 5G lightweight (Reduced Capability, RedCap) terminal devices have emerged. They reduce costs and power consumption through precise simplification of hardware and protocols. While retaining the core characteristics of 5G such as low latency, high reliability and network slicing, they significantly reduce the cost, power consumption and size of terminal devices.

[0003] Currently, 5G RedCap terminal devices, with their advantages of balancing reliability and cost, are widely used in various IoT terminal devices, especially in urban IoT devices such as smart fire hydrants, environmental monitors, and asset tracking tags. The deployment locations of these IoT terminals are typically extremely complex, often distributed in areas with weak signal coverage, and the operating environment is extremely harsh. To ensure the stable and reliable operation of 5G RedCap terminal devices in these harsh environments, it is usually necessary to test the extreme network uptime and power consumption capabilities of the communication modules of the 5G RedCap terminal devices.

[0004] However, existing testing methods typically only perform independent tests on a single dimension. Single-dimensional testing cannot verify the comprehensive performance of terminal devices. Even if a single-dimensional test is passed, it cannot guarantee that the communication module of the terminal device will meet the comprehensive performance standards under harsh environments. Existing testing methods cannot fully and realistically reproduce the actual working scenarios of terminal devices and have not formed reliable and comprehensive testing methods. This leads to inaccurate test results for the communication module of terminal devices, resulting in low stability and reliability of terminal devices. Summary of the Invention

[0005] This application provides a method, apparatus, electronic device, and storage medium for processing communication modules, which effectively improves the accuracy and authenticity of test results of communication modules in terminal devices, and ensures and significantly enhances the long-term stability and reliability of terminal devices.

[0006] On one hand, embodiments of this application provide a processing method for a communication module, the method comprising: Obtain at least one set of communication parameter sequences for the target communication module. Each set of communication parameter sequences includes multiple communication quality associated parameters of the same type. One of the communication parameter sequences is used to indicate the changing trend of a type of communication quality associated parameter during the process of the target communication module moving from a first communication environment to a second communication environment. The target communication module is tested based on at least one set of the communication parameter sequences, and the module data generated by the target communication module during the test is obtained; The module data of the target communication module is analyzed to obtain the test results of the target communication module.

[0007] In some embodiments, each set of communication parameter sequences is associated with parameter change logic, which is used to indicate the change information of multiple communication quality associated parameters corresponding to the communication parameter sequence as they move from a first communication environment to a second communication environment. The step of testing the target communication module based on at least one set of the communication parameter sequences and acquiring module data generated by the target communication module during the testing process includes: Based on at least one set of the communication parameter sequences and the corresponding parameter change logic, the target communication module is tested, and the module data generated by the target communication module during the test is obtained.

[0008] In some embodiments, at least one set of the communication parameter sequences includes a first communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal strength type during the process of the target communication module moving from a first communication environment to a second communication environment.

[0009] In some embodiments, at least one set of the communication parameter sequences includes a second communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal quality type during the process of the target communication module moving from a first communication environment to a second communication environment.

[0010] In some embodiments, at least one set of the communication parameter sequences includes a third communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal stability type during the process of the target communication module moving from a first communication environment to a second communication environment.

[0011] In some embodiments, testing the target communication module based on at least one set of the communication parameter sequences and acquiring module data generated by the target communication module during the testing process includes: Obtain a specified operating rule for the target communication module, the specified operating rule being used to instruct the target communication module to operate according to a corresponding specified working mode; The target communication module is tested based on at least one set of the communication parameter sequences and the specified operating rules, and the module data generated by the target communication module during the test is obtained.

[0012] In some embodiments, testing the target communication module based on at least one set of the communication parameter sequences and acquiring module data generated by the target communication module during the testing process includes: The communication environment is simulated based on a simulation system corresponding to at least one set of the communication parameter sequences, so as to control the target communication module to be tested in the simulated communication environment and to obtain the module data generated by the target communication module during the test.

[0013] In some embodiments, after testing the target communication module based on at least one set of the communication parameter sequences and acquiring the module data generated by the target communication module during the testing process, the method further includes: When the current module state of the target communication module is detected to match the preset module state, the testing of the target communication module is stopped.

[0014] In some embodiments, the analysis of module data based on the target communication module to obtain the test results of the target communication module includes: The target communication module's module data and at least one analysis strategy are used to analyze the data and obtain the test results of the target communication module corresponding to each analysis strategy.

[0015] On the other hand, embodiments of this application also provide a processing apparatus for a communication module, the apparatus comprising: The acquisition module is configured to: acquire at least one set of communication parameter sequences for a target communication module, each set of communication parameter sequences including multiple communication quality associated parameters of the same type, wherein the communication parameter sequences are used to indicate the changing trend of a type of communication quality associated parameter during the process of the target communication module moving from a first communication environment to a second communication environment; The testing module is used to: test the target communication module based on at least one set of the communication parameter sequences, and acquire module data generated by the target communication module during the testing process; The analysis module is used to analyze the module data of the target communication module to obtain the test results of the target communication module.

[0016] On the other hand, embodiments of this application also provide an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps: Obtain at least one set of communication parameter sequences for the target communication module. Each set of communication parameter sequences includes multiple communication quality associated parameters of the same type. One of the communication parameter sequences is used to indicate the changing trend of a type of communication quality associated parameter during the process of the target communication module moving from a first communication environment to a second communication environment. The target communication module is tested based on at least one set of the communication parameter sequences, and the module data generated by the target communication module during the test is obtained; The module data of the target communication module is analyzed to obtain the test results of the target communication module.

[0017] On the other hand, embodiments of this application also provide a computer program product, including a computer program or instructions, which, when executed by a processor, implement the steps in the processing method of any communication module provided in embodiments of this application.

[0018] On the other hand, embodiments of this application also provide a computer-readable storage medium storing a computer program or instructions thereon, including a computer program or instructions that, when executed by a processor, implement the steps in the processing method of any communication module provided in embodiments of this application.

[0019] The communication module processing method provided in this application simulates the changing trends of various types of communication quality-related parameters during the process of a target communication module moving from a first communication environment to a second communication environment by acquiring multiple sets of communication parameter sequences; testing the target communication module based on the multiple sets of communication parameter sequences and acquiring module data generated by the target communication module during the testing process; analyzing the module data of the target communication module to obtain the test results of the target communication module; enabling collaborative joint testing of multi-dimensional communication parameters, comprehensively verifying the overall performance of the communication module of the terminal device, thereby constructing a complete, reliable, and systematic testing system, fully and realistically reproducing the actual working scenario of the terminal device, effectively improving the accuracy and authenticity of the test results of the communication module of the terminal device, and ensuring and significantly enhancing the long-term stability and reliability of the terminal device. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A schematic diagram of the architecture of a processing system for a communication module provided in an embodiment of this application; Figure 2 Another schematic diagram of the processing system of the communication module provided in the embodiments of this application; Figure 3 This is a flowchart illustrating a processing method for a communication module provided in an embodiment of this application; Figure 4 This is a schematic diagram illustrating the relationship between the received power of the reference signal and time for the signal strength sequence provided in this application embodiment; Figure 5 A schematic diagram illustrating the time-varying perturbation of a cell re-election event; Figure 6 This is a schematic diagram of the data stream collected during a test provided in an embodiment of this application; Figure 7 This is a schematic diagram of the data stream collected in another test provided in this application embodiment; Figure 8 This is a schematic diagram of the survivability map provided in the embodiments of this application; Figure 9 This is a flowchart illustrating another processing method for a communication module provided in the embodiments of this application; Figure 10 This is a schematic diagram of a processing device for a communication module provided in an embodiment of this application; Figure 11 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0022] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In the following description, specific embodiments of the invention will be illustrated with reference to steps and symbols performed by one or more computers, unless otherwise stated. Therefore, these steps and operations will be referred to several times as being performed by a computer, and computer execution as referred to herein includes operations by a computer processing unit representing electronic signals of data in a structured format. This operation transforms the data or maintains it at a location in the computer's memory system, which can be reconfigured or otherwise alter the operation of the computer in a manner well known to those skilled in the art. The data structure maintained by the data is the physical location of the memory, which has specific characteristics defined by the data format. However, the principles of the invention described above are not intended to be limiting, and those skilled in the art will understand that many of the steps and operations described below can also be implemented in hardware.

[0024] The terms "module" or "unit" as used herein can be considered as software objects executing on the computing system. The various components, modules, engines, and services described herein can be considered as implementations on the computing system. While the apparatus and methods described herein are preferably implemented in software, they can also be implemented in hardware, both of which are within the scope of this invention.

[0025] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the term “comprising” as used in this specification means the presence of the stated features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. It should be understood that when an element is “connected” or “coupled” to another element, it may be directly connected or coupled to the other element, or there may be intermediate elements. Furthermore, “connected” or “coupled” as used herein may include wireless connections or wireless coupling. The term “and / or” as used herein includes all or any units and all combinations of one or more associated listed items.

[0026] Figure 1 This is a schematic diagram of an architecture for a processing system of a communication module provided in an embodiment of this application. Please refer to... Figure 1 The processing system of the communication module may include: a personal computer 10, a comprehensive tester 20, a power supply 30, an evaluation development board 40, a first communication line 60, a second communication line 70, a diversity receiving path 80, and a main radio frequency path 90. The target communication module 50 can be placed on the evaluation development board 40 and communicate with the evaluation development board 40.

[0027] The personal computer (PC) 10 serves as the host computer control core of the entire communication module's processing system. It is responsible for issuing test commands, configuring parameters for each test instrument, collecting and storing test data, monitoring the entire test process, parsing test logs, and determining test results. Specifically, the PC 10, through preset test software, issues at least one set of configuration commands, such as communication parameter sequences, to the integrated tester 20, and sends parameter commands, such as supply voltage and current limiting threshold, to the power supply 30. Simultaneously, it reads the operation logs and service reporting data of the target communication module 50 through its Universal Serial Bus (USB) interface, monitors the module data of the target communication module 50 in real time, and finally analyzes the module data to obtain the test results of the target communication module 50.

[0028] The integrated tester 20, or simply the integrated tester, is a core device for simulating a communication environment (or network environment). It is used to simulate the radio frequency signals, network topology, and various extreme network scenarios of 5G base stations, providing a communication test environment for the target communication module 50. Specifically, it can simulate network stress scenarios such as critical weak signals, wireless interference, Doppler shift, and periodic cell reselection. At the same time, it can receive service data (i.e., test data) reported by the target communication module 50, monitor the module's signal reception quality, communication link stability, and service transmission success rate, and feed the service data back to the personal computer 10 to provide a basis for judging the test results.

[0029] Power supply 30 provides a stable and controllable DC power supply for the entire processing system. Its core functions are powering the target communication module 50 and the evaluation development board 40. It can also simulate extreme power supply scenarios such as battery voltage drops and undervoltage, assisting in testing the operating performance of the target communication module 50 under low-voltage conditions. Power supply 30 can precisely adjust the output voltage and current, and has current limiting and overvoltage protection functions. Power supply parameters can be configured according to test requirements to simulate the battery power supply state of the target communication module 50 in actual applications, including normal power supply, undervoltage power supply, and the entire process of voltage drop to the cutoff voltage (energy depletion), providing support for communication module power consumption testing and energy depletion failure testing.

[0030] The Evaluation Board (EVB) 40 serves as the mounting and debugging platform for the target communication module 50, providing a stable hardware operating environment for it. It also provides various interfaces to facilitate connection between the target communication module 50 and other devices in the processing system. The target communication module 50 is fixed to the Evaluation Board 40 via pin soldering or slot connection. The Evaluation Board 40 receives power from the DC regulated power supply 30, providing a stable power supply to the target communication module 50. Simultaneously, the Evaluation Board 40 enables communication between the target communication module 50 and the personal computer 10, and facilitates RF signal interaction between the target communication module 50 and the integrated test instrument 20, providing hardware support for the smooth conduct of the testing process. Specifically, the Evaluation Board 40 is connected to the negative terminal of the power supply 30 via the first communication line 60, and to the positive terminal of the power supply 30 via the second communication line 70.

[0031] The evaluation development board 40 is connected to the integrated tester 20 via the main radio frequency path 90. The main radio frequency path 90 (MAIN) serves as the core communication path for the target communication module 50, responsible for the main radio frequency signal transmission and reception between the target communication module 50 and the integrated tester 20. It undertakes the tasks of transmitting and receiving 5G signals and is the core path for the target communication module 50 to achieve network access, service data reporting, and network switching. The main radio frequency path 90 has strong signal transmission capabilities, ensuring the basic communication needs of the target communication module 50 under normal and weak signal environments. Its signal transmission quality directly affects the module's network access stability and service transmission reliability.

[0032] The evaluation development board 40 is also connected to the integrated tester 20 via the diversity reception path 80. The diversity reception path 80 (DIV), as an auxiliary path to the main RF path 90, is only responsible for receiving RF signals and does not undertake signal transmission. Its core function is to resist signal fading and improve signal reception stability in weak signal environments. In extreme weak signal and multi-interference test scenarios, the diversity reception path 80 can receive weak signals not captured by the main path, working in conjunction with the main RF path 90 to achieve signal diversity reception. This effectively improves the network connectivity and anti-interference capabilities of the target communication module 50 in edge coverage scenarios, ensuring the stability of service data reporting.

[0033] Figure 2 This is a schematic diagram of an architecture for a processing system of a communication module provided in an embodiment of this application. Please refer to... Figure 2The power supply 30 is equipped with a General Purpose Interface Bus (GPIB) card, and the power supply 30 communicates with the personal computer 10 through the GPIB card.

[0034] The communication module processing system provided in this application embodiment, through the collaborative work of the aforementioned components, can accurately construct an extreme test environment for the communication module, realizing extreme network performance testing of the communication module. During the test, the personal computer 10 acts as the control core, coordinating and controlling the operating parameters of each device. The comprehensive tester 20 simulates extreme scenarios such as critical weak signals and network pressure, while the DC regulated power supply 30 simulates battery power supply. Supported by the evaluation development board 40, the target communication module 50 operates according to preset service and power-saving balance logic. The personal computer 10 collects various module data through various interfaces, ultimately generating test results for the target communication module 50. The communication module processing system provided in this application embodiment can comprehensively and accurately verify the operating performance of the target communication module 50 under harsh working conditions, solving the technical problems of existing test systems being unable to truly reproduce the actual working scenario of the terminal and resulting in inaccurate test results.

[0035] Figure 3 This is a flowchart illustrating a processing method for a communication module provided in an embodiment of this application. Please refer to... Figure 3 The processing method of this communication module can be applied to Figure 1 and Figure 2 In the processing system of the communication module shown, for example, the processing method of the communication module can be... Figure 1 and Figure 2 The terminal device and / or server in the processing system of the communication module shown interact to execute commands. For example... Figure 3 As shown, the processing method of this communication module includes the following steps (steps S110 to S130): Step S110: Obtain at least one set of communication parameter sequences for the target communication module. Each set of communication parameter sequences includes multiple communication quality associated parameters of the same type. A communication parameter sequence is used to indicate the changing trend of a type of communication quality associated parameter during the process of the target communication module moving from the first communication environment to the second communication environment. Step S120: Test the target communication module based on at least one set of communication parameter sequences, and obtain the module data generated by the target communication module during the test; Step S130: Analyze the module data based on the target communication module to obtain the test results of the target communication module.

[0036] The first communication environment is a communication environment in which the signal strength, signal commands, and signal stability provided to the terminal device are all normal. The second communication environment is a communication environment in which the signal strength, signal commands, and signal stability are all extremely deteriorated. The process of the communication module of the terminal device moving from the normal communication area to the edge of the signal black hole can be simulated by at least one set of communication parameter sequences.

[0037] In some embodiments, each set of communication parameter sequences is associated with parameter change logic, which is used to indicate the change information of multiple communication quality associated parameters corresponding to the communication parameter sequence as they move from the first communication environment to the second communication environment; the above step S120 "testing the target communication module based on at least one set of communication parameter sequences and obtaining module data generated by the target communication module during the test" may include: Based on at least one set of communication parameter sequences and corresponding parameter change logic, the target communication module is tested, and the module data generated by the target communication module during the test is obtained.

[0038] In some embodiments, at least one set of communication parameter sequences includes a first communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of communication signal strength type during the process of the target communication module moving from a first communication environment to a second communication environment.

[0039] In this embodiment, the first communication parameter sequence can be a signal strength sequence, which can be a gradually changing critical signal strength sequence. This sequence simulates the real communication environment in which the communication components of a 5G RedCap terminal device gradually transition from normal coverage to weak coverage, edge critical coverage, and even ultra-weak coverage during actual deployment. It is used to assess the stability of the terminal device's network presence, cell reselection, link recovery, and service transmission during continuous signal degradation. For example, the signal strength sequence uses the Reference Signal Received Power (RSRP) as a control variable, and the communication quality-related parameters in the signal strength sequence can be the Reference Signal Received Power. For instance, a set of signal strength sequences may include -85 dBM, -90 dBM, -95 dBM, -100 dBM, and -105 dBM, thereby simulating the real communication environment from normal coverage to weak coverage, edge critical coverage, and even ultra-weak coverage.

[0040] Furthermore, the signal strength sequence uses the reference signal received power (RSRP) as the control variable, and the integrated tester is configured to perform step-by-step attenuation according to the corresponding first parameter change logic. The first parameter change logic can be: controlling RSRP to gradually decrease from a first value to a second value, each time stepping into a third value, and maintaining each level for a period of time. For example, the first parameter change logic can be: controlling RSRP to gradually decrease from -85 dBM to -130 dBM, each time stepping into 5 dBM, maintaining each level for a period of time, such as 5 minutes; after reaching -130 dBM, it gradually recovers to -85 dBM. For example, please refer to... Figure 4 , Figure 4 This is a schematic diagram illustrating the relationship between the received power and time of the reference signal strength sequence provided in this application embodiment. Specifically, a set of signal strength sequences may include -85dBM, -90dBM, -95dBM, -100dBM, -105dBM…-130dBM, -125dBM, -120dBM, -115dBM, -110dBM, -105dBM,…-85dBM. The signal strength sequence undergoes step-by-step attenuation according to the corresponding first parameter change logic based on the configured integrated test instrument. Each signal strength level maintains a preset stable duration, ensuring that the terminal completes network locking, channel measurement, neighbor cell detection, and periodic service reporting under this signal level.

[0041] The signal strength sequence, which is progressively decreasing and then progressively increasing as described in the embodiments of this application, can reproduce weak signal gradient scenarios such as basements, underground pipelines, and deep indoor obstructions. It can observe whether the communication module of the terminal equipment experiences problems such as premature network disconnection, abnormal reselection, random link interruption, and sharp drop in service reporting success rate during the process of gradual signal deterioration and installation. At the same time, with the critical signal point of around -130 dBM as the key observation interval, it verifies the terminal's extreme network presence and communication maintenance capabilities under weak field strength at the protocol boundary, providing a standardized and reproducible timing test profile for the weak signal robustness test of the communication module.

[0042] In some embodiments, at least one set of communication parameter sequences includes a second communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal quality type during the process of the target communication module moving from the first communication environment to the second communication environment.

[0043] In this embodiment, the second communication parameter sequence can be an interference and quality sequence, used to superimpose fluctuating signal-to-interference-plus-noise ratio (SINR) on the basis of low reference signal received power (RSRP), to simulate extreme wireless communication scenarios with strong interference and multipath fading in real communication environments, and to evaluate the service transmission stability and demodulation performance of the communication module under the dual degradation conditions of weak signal and high interference.

[0044] In this embodiment of the application, the integrated tester is configured to have the downlink signal of the serving cell in a low RSRP state, for example, the RSRP is fixed in the weak coverage range of -120dBM to -125dBM; at the same time, based on this low RSRP, a fluctuating SINR interference sequence is periodically superimposed to simulate interference.

[0045] Optionally, the interference and quality sequence uses the signal-to-interference-plus-noise ratio (SINR) as the control variable, and the integrated tester is configured to periodically switch according to the corresponding second parameter change logic. The second parameter change logic can be: based on the low RSRP, control SINR to periodically switch between 0 dB and -3 dB, for example, switch the SINR value every 10 seconds, so that the communication module of the terminal device repeatedly experiences channel quality fluctuations from low interference (SINR=0 dB) to high interference (SINR=-3 dB) under the same signal strength.

[0046] This interference and quality sequence can simulate the real communication environment of a terminal device's communication module in scenarios such as basements, elevator shafts, and industrial plants, where it is both under edge coverage and subject to sudden interference (such as industrial noise and neighboring cell interference). During the test, the communication module needs to maintain its network presence and complete periodic data reporting under conditions where RSRP is at critical weak coverage and SINR is continuously deteriorating and fluctuating. This verifies the demodulation capability, link stability, and service continuity of the terminal device's communication module in low signal-to-noise ratio and strong interference scenarios, providing a standardized and reproducible test profile for evaluating the terminal's anti-interference performance.

[0047] In some embodiments, at least one set of communication parameter sequences includes a third communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal stability type during the process of the target communication module moving from the first communication environment to the second communication environment.

[0048] In this embodiment, the second communication parameter sequence can be a mobility and network stress sequence. A channel simulator simulates the Doppler shift caused by slow movement, and a base station simulator is configured to periodically trigger cell reselection or Radio Resource Control (RRC) reconstruction. Radio Resource Control is a core control plane protocol in the 3GPP protocol stack, used for radio resource management, signaling interaction, and connection state control between terminal equipment and the base station. Radio Resource Control is responsible for controlling the radio connection state of the terminal equipment, including idle and connected states, and carries key signaling processes such as cell selection / reselection, handover, connection establishment / reconstruction, and system message broadcasting. It is a core control layer protocol ensuring the continuity of network access and communication for the terminal equipment.

[0049] In one specific embodiment, slow-movement disturbances can be simulated using Doppler frequency shift and corresponding third parameter changes. A channel simulator is configured to generate the Doppler frequency shift corresponding to slow movement on the terminal side. For example, setting the terminal's moving speed to 3 km / h to 5 km / h introduces a Doppler frequency offset of ±5 Hz to ±10 Hz to simulate the time-varying fading effect of the wireless channel caused by relative motion in walking or low-speed movement scenarios. This configuration can realistically reproduce the channel quality fluctuations caused by the Doppler effect in wireless links during slow movement, indoor / outdoor traversal, and other scenarios.

[0050] In another specific embodiment, the base station simulator can actively trigger network-side stress events at a preset period (such as once every 10 minutes) to achieve periodic network stress disturbances, such as cell reselection or RRC reconstruction.

[0051] For idle terminals, the neighboring cell signal quality is periodically configured to be better than the serving cell, so that the terminal device meets the reselection criteria and triggers cell reselection. For connected terminals, the RRC connection reconstruction process is triggered through signaling procedures or radio link quality degradation configuration, thereby putting continuous pressure on the mobility management and state machine stability of the terminal device.

[0052] For example, please refer to Figure 5 , Figure 5 This diagram illustrates the perturbation of cell reselection events over time, with time on the horizontal axis. During testing, the signal parameters of the serving cell and neighboring cells are periodically configured using a comprehensive tester, causing the terminal to trigger a cell reselection event once every preset period (e.g., 10 minutes), forming a continuous triangular wave perturbation profile. This profile simulates the extreme operating condition where the terminal needs to frequently perform cell reselections under the influence of weak signals, mobility issues, or network-side policies. It is used to verify the terminal's network stability, reselection success rate, and service transmission continuity under periodic reselection pressure.

[0053] Under the combined effect of the above sequence, the terminal device must simultaneously withstand channel Doppler changes caused by slow movement, as well as periodically triggered cell reselection or RRC reconstruction events, continuously maintaining its network presence and completing periodic data reporting. The embodiments of this application can effectively reproduce the extreme operating conditions of the terminal device's communication module under the combined effects of mobile scenarios and network-side policies. This allows for the assessment of the terminal's probability of network disconnection, reselection success rate, RRC reconstruction latency, and service transmission continuity during frequent network state switching, providing a standardized and reproducible test profile for evaluating the mobility and robustness of the terminal device.

[0054] In some embodiments, step S120, "testing the target communication module based on at least one set of communication parameter sequences and acquiring module data generated by the target communication module during the test," may include: Obtain the specified operating rules for the target communication module. The specified operating rules are used to instruct the target communication module to operate according to the corresponding specified working mode. The target communication module is tested based on at least one set of communication parameter sequences and specified operating rules, and the module data generated by the target communication module during the test is obtained.

[0055] The specified operating rule is a limit-balancing rule between service and power-saving modes. Specifically, this rule can be: configuring the terminal device to operate in the most demanding yet still protocol-compliant manner. For example, using the extended discontinuous reception (eDRX) cycle, but requiring a small data packet report (e.g., 10 bytes) to be completed within each wake-up window, and maintaining a reporting success rate above a certain threshold (e.g., 99.9%). This forces the terminal device to operate at its limit between deep sleep and the need for successful communication.

[0056] In one specific embodiment, the extended discontinuous reception period of the target terminal device is configured to the maximum value supported by the protocol, for example, 10.24 minutes, so that the terminal device is in a deep sleep state most of the time, shutting down most of the radio frequency and baseband circuits, in order to achieve extremely low power consumption operation and simulate the long battery life requirement of IoT terminals that do not need to be charged for several years.

[0057] In another specific embodiment, regarding the aforementioned eDRX cycle, the terminal device is required to complete a service data report once within each eDRX wake-up window. The reported content is a 10-byte small packet of data, such as a heartbeat packet or a status report message; the reporting process must include the complete process of RRC connection establishment, data transmission, and RRC connection release. Simultaneously, a reporting success rate threshold of no less than 99.9% is set, meaning the allowed number of reporting failures is extremely low, thereby imposing stringent requirements on the communication reliability of the terminal.

[0058] With the above configuration, the terminal device is forced to operate at its limits between two conflicting demands. On the one hand, to save power, it needs to minimize radio frequency activity and extend sleep time; on the other hand, to meet business requirements, it needs to quickly complete network access and data reporting within a short wake-up window, and cannot allow communication interruptions or decreased success rates due to power-saving strategies. During the test, the terminal device continuously runs in a cycle of deep sleep, short wake-up, data reporting, and re-sleep. The system records the reporting results, wake-up latency, power consumption, current, and network status for each wake-up. This effectively exposes potential problems such as network search timeouts, registration failures, and link instability that may occur in low-power mode, providing a standardized and reproducible test profile for evaluating the robustness of the terminal device under the dual constraints of low power consumption and high reliability.

[0059] In summary, this application embodiment, based on signal strength sequence, interference and quality sequence, mobility and network stress sequence, and service and power saving mode extreme balance rules, under the premise of complying with 3GPP communication protocol specifications, simultaneously constructs a reproducible extreme simulation test environment from four dimensions: signal gradual degradation, channel interference fluctuation, mobility network disturbance, and low power consumption and service reliability constraints. It comprehensively evaluates the communication module's network stability, mobility capability, anti-interference performance, and service transmission continuity under harsh operating conditions such as weak coverage, strong interference, mobile network stress, and ultra-low power consumption.

[0060] In some embodiments, step S120, "testing the target communication module based on at least one set of communication parameter sequences and acquiring module data generated by the target communication module during the test," may include: The communication environment is simulated based on a simulation system corresponding to at least one set of communication parameter sequences, so as to control the target communication module to be tested in the simulated communication environment and acquire the module data generated by the target communication module during the test.

[0061] In this embodiment, an accelerated testing and precision measurement system can be constructed, specifically including a limit network simulation subsystem and a full-cycle energy audit subsystem. The limit network simulation subsystem integrates a base station simulator and a wireless channel simulator. The base station simulator is programmed to implement at least one set of communication parameter sequences and signaling control as defined above. The wireless channel simulator simulates multipath fading and the Doppler effect, and can dynamically adjust path loss to its limit value. The full-cycle energy audit subsystem can use a picoampere (pA) level high-precision power / measurement unit (such as a source measure, or UnitSMU) to power the module under test and measure current. Its key capability is an extremely wide dynamic range, specifically from nA-level sleep current to mA-level transmit current, and a high sampling rate to capture the energy consumption throughout the entire process from deep sleep to instantaneous wake-up transmission.

[0062] In some embodiments, after step S120 "testing the target communication module based on at least one set of communication parameter sequences and acquiring module data generated by the target communication module during the test", the following may be included: When the current module state of the target communication module is detected to match the preset module state, the test on the target communication module is stopped.

[0063] Furthermore, the accelerated testing and precision measurement system may also include a test management and decision subsystem. This subsystem controls the synchronous operation of the two extreme network simulation subsystems and the full-cycle energy audit subsystem, and defines explicit test termination conditions for the communication module. Test termination conditions can be that the current module state of the communication module conforms to various preset module states, including service continuity failure, abnormal communication module state, and energy depletion. Specifically, a service continuity failure can be defined as N consecutive (e.g., 3) failed reporting attempts. For example, if the communication module fails to report small data packets three times consecutively within a preset service reporting sequence, it is determined to be a service continuity failure, triggering test termination. An abnormal communication module state can be defined as the communication module becoming offline and unable to recover on its own. For example, if the communication module becomes offline and enters a no-service state, and fails to recover online within a preset tolerance period, it is considered an unhealable network dwell anomaly, and the test is terminated. The energy depletion state can be represented by a simulated battery voltage dropping to the cutoff voltage. For example, the source measurement unit simulates a slow drop in the supply voltage according to a preset battery discharge curve. When the simulated battery voltage drops to the battery cutoff voltage, it is determined that the module's power supply energy is depleted, triggering the test termination.

[0064] In this embodiment, the target communication module under test (such as a RedCap module) can be connected to an accelerated testing and precision measurement system and configured to enter a defined extreme operating mode. Then, the test for the target communication module is started, and the system begins to execute a predefined extreme network environment sequence. During the test, the system synchronously collects and records the target communication module's timestamps, network parameters (such as RSRP, SINR), module status (such as RRC status, eDRX cycle), and every tiny energy consumption event (such as the current pulse received for each paging and the energy consumption integral for each uplink transmission).

[0065] For example, please refer to Figure 6 and Figure 7 , Figure 6 This is a schematic diagram of the data stream collected during a test provided in an embodiment of this application. Figure 7 This is a schematic diagram of the data stream collected in another test provided in this application embodiment.

[0066] In some embodiments, step S130, "analyzing the module data of the target communication module to obtain the test results of the target communication module," may include: The module data of the target communication module and at least one analysis strategy are used to analyze the test results of the target communication module corresponding to each analysis strategy.

[0067] Among them, at least one analysis strategy includes a first analysis strategy, a second analysis strategy, and a third analysis strategy. The first analysis strategy can be to calculate the maximum network dwell time, by calculating the longest continuous network dwell time (such as the maximum total network dwell time) to understand the longest continuous network dwell time from full charge to disconnection due to power depletion in a set communication environment.

[0068] The second analysis strategy can be to construct a refined energy consumption decomposition model, and to establish a model by performing event correlation analysis on the entire energy consumption data. The specific formula for constructing the energy consumption decomposition model E_total is as follows: E_total = N_sleep× E_sleep + N_paging ×E_paging + N_tau ×E_tau +N_report × E_report + E_overhead Among them, E_sleep is the energy consumption of a single sleep cycle, E_paging is the energy consumption of listening and paging, E_tau is the energy consumption of cell reselection, E_report is the energy consumption of a single service report, and E_overhead is the additional overhead of abnormal recovery (such as reconstruction); N_sleep is the total number of sleep cycle cycles, N_paging is the total number of listening and paging cycles, N_tau is the total number of cell reselection cycles, and N_report is the total number of service reports.

[0069] The energy consumption decomposition model provides a clear and detailed breakdown of energy consumption. For example, it allows for a detailed understanding of the total energy consumption during the communication module's sleep time, total energy consumption for listening and paging, total energy consumption for cell reselection, and energy consumption for service reporting. It also helps pinpoint power consumption bottlenecks, such as insufficient sleep time, frequent wake-ups, and excessive TAUs that lead to increased power consumption. Based on this, the hardware power domain, software sleep strategies, and network parameter configurations can be optimized to improve the maximum network dwell time.

[0070] The third analysis strategy can generate a survival map and selection report. By changing the extreme profile parameters (such as different eDRX cycles and different minimum RSRP thresholds), a survival area map of the communication module can be drawn, intuitively displaying its endurance contour lines on the signal strength and service cycle planes. The report finally outputs the estimated battery life and key bottleneck indicators under the constructed target scenario. The survival area map clearly shows the extreme operating conditions under which the communication module can work normally, helping to decide whether the target environment can meet the module's survival requirements. If the target environment is relatively good, the battery life under different operating conditions can also be calculated by adjusting the input parameters and using the energy consumption model.

[0071] In one embodiment, changing the eDRX period (e.g., 32, 64, 128, 256) can cause changes in the sleep period of the communication module, thereby affecting the power consumption during sleep. Changing the signal strength RSRP (-85, -90...-130) will result in more signal search and cell reselection actions when the signal is weak, which will also consume more power. By changing the above extreme profile parameters, the final battery life can be fully calculated based on the power consumption model established above.

[0072] For example, please see Figure 8 , Figure 8 This is a schematic diagram of the survivability map provided in the embodiments of this application. When the sleep cycle is a long cycle DRX256 and the ambient signal strength RSRP is a strong signal of -85dBm, it can be calculated that the battery can be used normally for 5 years under this condition. When the sleep cycle is set to DRX32 and the ambient signal strength is relatively poor, such as RSRP of a weak signal of -130dBm, it can be calculated that the battery can only support the normal use of the module for 2 years under this condition.

[0073] In one specific embodiment, the specific power consumption of each component, such as sleep mode, paging monitoring, cell reselection, and service reporting, can be calculated based on the energy consumption decomposition model. The energy required for each component is calculated using the formula E(energy) = P(power consumption) × T(time). Comparing this with battery capacity yields the battery life index, thus estimating battery lifespan. The energy consumption decomposition model can calculate the energy consumption of each component, such as the total energy consumption during module sleep time, total energy consumption for paging monitoring, total energy consumption for cell reselection, and energy consumption for service reporting. Based on the power consumption calculation results, power bottlenecks can be quickly identified, such as low-level sleep leading to high energy consumption, frequent wake-ups leading to high energy consumption, or excessive TAUs leading to high energy consumption. The hardware power domain, software sleep strategy, and network parameter configuration can then be optimized based on the calculation results to improve the maximum network dwell time.

[0074] For example, please see Figure 9The following is an example of the specific test process for a target communication module. In one example, it includes the following steps (steps S210 to S260): Step S210: Define the extreme network test profile; specifically defined through the following steps: 1. Signal strength limit sequence: RSRP -90~-130dBm (5dB increments, 30min per level); 2. Interference and quality limit sequence: Low RSRP (≤-110dBm) superimposed with SINR 0~-3dB jumps (10s period); 3. Mobility and network stress sequence: Simulate Doppler frequency shift, configure simulator to trigger cell reselection or RRC reconstruction; 4. Service and power saving balance: eDRX 10.24min, 10 bytes / cycle reporting, success rate ≥99.9%; Step S220: Construct an accelerated testing and precision measurement system; specifically, this is constructed through the following steps: 1. Extreme network simulation subsystem: Programming network parameter sequences and signaling control in the base station simulator to realize the test parameters defined in S210; 2. Full-cycle energy audit subsystem: High-precision power supply measurement of power consumption; 3. Test management decision: Termination conditions such as service continuity failure (e.g., 8 times), network disconnection that cannot be recovered, and battery voltage dropping to the cutoff voltage; Step S230: Perform extreme survival test and data acquisition; specifically, data acquisition is performed through the following steps: 1. Connect to the target communication module and configure and define parameters; 2. Start the test: execute S210 to define the extreme network environment sequence; 3. Data acquisition: synchronously record timestamps, network parameters, module status, and energy consumption; Step S240: Calculate the maximum on-grid duration and construct the energy consumption model; specifically implemented through the following steps: 1. On-grid duration calculation: Calculate T_limit (accurate to 1 minute); 2. Energy consumption model construction: Establish the E_total sub-item model; 3. Report generation: Draw a survivability map and output the estimated battery life and bottlenecks; Step S250: End.

[0075] In summary, the communication module processing method provided in this application embodiment can realize collaborative joint testing of multi-dimensional communication parameters, comprehensively verify the overall performance of the communication module of the terminal device, thereby constructing a complete, reliable and systematic testing system, fully and realistically reproducing the actual working scenario of the terminal device, effectively improving the accuracy and authenticity of the test results of the communication module of the terminal device, and ensuring and significantly enhancing the long-term stability and reliability of the terminal device.

[0076] To facilitate better implementation of the communication module processing method provided in the embodiments of this application, the embodiments of this application also provide a communication module processing apparatus based on the above-described communication module processing method. The meanings of the terms used are the same as in the above-described communication module processing method, and specific implementation details can be found in the descriptions in the method embodiments.

[0077] Figure 10 This is a schematic diagram of the processing device for a communication module provided in an embodiment of this application. Please refer to... Figure 10 The processing unit of this communication module has the functionality to implement the method example described above on the terminal device side. This functionality can be implemented in hardware or by hardware executing corresponding software. The processing unit of this communication module can be the terminal device described above, or it can be installed within the terminal device. For example... Figure 10 As shown, the processing device 300 of the communication module may include: an acquisition module 310, a testing module 320, and an analysis module 330.

[0078] The acquisition module 310 is used to: acquire at least one set of communication parameter sequences for the target communication module, each set of communication parameter sequences including multiple communication quality associated parameters of the same type, and a communication parameter sequence is used to indicate the changing trend of a type of communication quality associated parameter during the process of the target communication module moving from a first communication environment to a second communication environment; The test module 320 is used to: test the target communication module based on at least one set of communication parameter sequences, and acquire module data generated by the target communication module during the test. Analysis module 330 is used to analyze module data based on the target communication module to obtain test results of the target communication module.

[0079] In one example, each set of communication parameter sequences is associated with parameter change logic. This parameter change logic indicates the changes in multiple communication quality-related parameters corresponding to the communication parameter sequence as they move from a first communication environment to a second communication environment. The aforementioned test module 320 is also used for: Based on at least one set of communication parameter sequences and corresponding parameter change logic, the target communication module is tested, and the module data generated by the target communication module during the test is obtained.

[0080] In one example, at least one set of communication parameter sequences includes a first communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal strength type during the process of the target communication module moving from a first communication environment to a second communication environment.

[0081] In one example, at least one set of communication parameter sequences includes a second communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal quality type during the process of the target communication module moving from the first communication environment to the second communication environment.

[0082] In one example, at least one set of communication parameter sequences includes a third communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal stability type during the process of the target communication module moving from the first communication environment to the second communication environment.

[0083] In one example, the above test module 320 is also used for: Obtain the specified operating rules for the target communication module. The specified operating rules are used to instruct the target communication module to operate according to the corresponding specified working mode. The target communication module is tested based on at least one set of communication parameter sequences and specified operating rules, and the module data generated by the target communication module during the test is obtained.

[0084] In one example, the above test module 320 is also used for: The communication environment is simulated based on a simulation system corresponding to at least one set of communication parameter sequences, so as to control the target communication module to be tested in the simulated communication environment and acquire the module data generated by the target communication module during the test.

[0085] In one example, the above test module 320 is also used for: When the current module state of the target communication module is detected to match the preset module state, the test on the target communication module is stopped.

[0086] In one example, the analysis module 330 described above is also used for: The module data of the target communication module and at least one analysis strategy are used to analyze the test results of the target communication module corresponding to each analysis strategy.

[0087] Figure 11 This is a schematic diagram of the structure of an electronic device provided in some embodiments of this application. Figure 11 The dashed line in the text indicates that the unit or module is optional. Figure 11 The electronic device 400 can be used to implement the methods described in the above method embodiments. The electronic device 400 can be a chip, a terminal device, or a first server.

[0088] Electronic device 400 may include one or more processors 410. The processor 410 may support the electronic device 400 in implementing the methods described in the preceding method embodiments. The processor 410 may be a general-purpose processor or a special-purpose processor. For example, the processor may be a Central Processing Unit (CPU). Alternatively, the processor may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0089] The electronic device 400 may also include one or more memories 420. Computer programs are stored on the memories 420. The memories 420 may be independent of the processor 410 or integrated into the processor 410.

[0090] Electronic device 400 may also include transceiver 430. Processor 410 can communicate with other devices or chips via transceiver 430. For example, processor 410 can send and receive data with other devices or chips via transceiver 430.

[0091] The computer program in memory 420 can be executed by processor 410, causing processor 410 to perform the following steps: Obtain at least one set of communication parameter sequences for the target communication module. Each set of communication parameter sequences includes multiple communication quality associated parameters of the same type. A communication parameter sequence is used to indicate the changing trend of a type of communication quality associated parameter during the process of the target communication module moving from a first communication environment to a second communication environment. The target communication module is tested based on at least one set of communication parameter sequences, and the module data generated by the target communication module during the test is obtained. The test results of the target communication module are obtained by analyzing the module data of the target communication module.

[0092] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0093] Therefore, embodiments of this application provide a computer-readable storage medium storing a computer program thereon. The computer program is loaded by a processor to execute the steps described in the above-described method embodiments of this application. For example, the computer program loaded by the processor can execute the following steps: Obtain at least one set of communication parameter sequences for the target communication module. Each set of communication parameter sequences includes multiple communication quality associated parameters of the same type. A communication parameter sequence is used to indicate the changing trend of a type of communication quality associated parameter during the process of the target communication module moving from a first communication environment to a second communication environment. The target communication module is tested based on at least one set of communication parameter sequences, and the module data generated by the target communication module during the test is obtained. The test results of the target communication module are obtained by analyzing the module data of the target communication module.

[0094] For details on the implementation of each of the above operations / steps, please refer to the previous examples, which will not be repeated here.

[0095] The computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0096] Since the computer program stored in the computer-readable storage medium can execute the steps in any of the above method embodiments provided in the embodiments of this application, the beneficial effects that the methods described in any of the above method embodiments can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0097] This application also provides a computer program product or computer program that includes computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the electronic device to perform the methods provided in the various optional implementations of the above embodiments.

[0098] The foregoing has provided a detailed description of the processing method, apparatus, electronic device, and storage medium of a communication module provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A processing method for a communication module, characterized in that, include: Obtain at least one set of communication parameter sequences for the target communication module. Each set of communication parameter sequences includes multiple communication quality associated parameters of the same type. One of the communication parameter sequences is used to indicate the changing trend of a type of communication quality associated parameter during the process of the target communication module moving from a first communication environment to a second communication environment. The target communication module is tested based on at least one set of the communication parameter sequences, and the module data generated by the target communication module during the test is obtained; The module data of the target communication module is analyzed to obtain the test results of the target communication module.

2. The method according to claim 1, characterized in that, Each set of communication parameter sequences is associated with parameter change logic, which is used to indicate the change information of multiple communication quality associated parameters corresponding to the communication parameter sequence as they move from the first communication environment to the second communication environment. The step of testing the target communication module based on at least one set of the communication parameter sequences and acquiring module data generated by the target communication module during the testing process includes: The target communication module is tested based on at least one set of communication parameter sequences and corresponding parameter change logic, and module data generated by the target communication module during the test is obtained.

3. The method according to claim 1, characterized in that, At least one set of the communication parameter sequences includes a first communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal strength type during the process of the target communication module moving from a first communication environment to a second communication environment.

4. The method according to claim 3, characterized in that, At least one set of the communication parameter sequences includes a second communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal quality type during the process of the target communication module moving from the first communication environment to the second communication environment.

5. The method according to claim 4, characterized in that, At least one set of the communication parameter sequences includes a third communication parameter sequence, which is used to indicate the changing trend of communication quality-related parameters of the communication signal stability type during the process of the target communication module moving from the first communication environment to the second communication environment.

6. The method according to claim 1, characterized in that, The step of testing the target communication module based on at least one set of the communication parameter sequences and acquiring module data generated by the target communication module during the testing process includes: Obtain a specified operating rule for the target communication module, the specified operating rule being used to instruct the target communication module to operate according to a corresponding specified working mode; The target communication module is tested based on at least one set of the communication parameter sequences and the specified operating rules, and the module data generated by the target communication module during the test is obtained.

7. The method according to claim 1, characterized in that, The step of testing the target communication module based on at least one set of the communication parameter sequences and acquiring module data generated by the target communication module during the testing process includes: The communication environment is simulated based on a simulation system corresponding to at least one set of the communication parameter sequences, so as to control the target communication module to be tested in the simulated communication environment and to acquire the module data generated by the target communication module during the test.

8. The method according to claim 1, characterized in that, After testing the target communication module based on at least one set of the communication parameter sequences and acquiring the module data generated by the target communication module during the testing process, the method further includes: When the current module state of the target communication module is detected to match the preset module state, the testing of the target communication module is stopped.

9. The method according to any one of claims 1 to 8, characterized in that, The analysis of module data based on the target communication module to obtain the test results of the target communication module includes: The target communication module's module data and at least one analysis strategy are used to analyze the data and obtain the test results of the target communication module corresponding to each analysis strategy.

10. A processing device for a communication module, characterized in that, The device includes: The acquisition module is configured to: acquire at least one set of communication parameter sequences for a target communication module, each set of communication parameter sequences including multiple communication quality associated parameters of the same type, wherein the communication parameter sequences are used to indicate the changing trend of a type of communication quality associated parameter during the process of the target communication module moving from a first communication environment to a second communication environment; The testing module is used to: test the target communication module based on at least one set of the communication parameter sequences, and acquire module data generated by the target communication module during the testing process; The analysis module is used to analyze the module data of the target communication module to obtain the test results of the target communication module.

11. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores computer programs or instructions, and when the computer programs or instructions are executed by the processor, the processor causes the processor to perform the following steps: Obtain at least one set of communication parameter sequences for the target communication module. Each set of communication parameter sequences includes multiple communication quality associated parameters of the same type. One of the communication parameter sequences is used to indicate the changing trend of a type of communication quality associated parameter during the process of the target communication module moving from a first communication environment to a second communication environment. The target communication module is tested based on at least one set of the communication parameter sequences, and the module data generated by the target communication module during the test is obtained; The module data of the target communication module is analyzed to obtain the test results of the target communication module.

12. A computer-readable storage medium, characterized in that, It stores computer programs or instructions, which, when executed by a processor, implement the steps in the processing method of the communication module as described in any one of claims 1 to 9.