Mobile communication terminal detection method and device

Abstract

The invention provides a mobile communication terminal detection method and device, and relates to the technical field of communication detection, and the method specifically comprises the steps: collecting transmission information and environment information, carrying out the data analysis, and generating a transmission index and an environment influence index; performing correlation analysis on the transmission index and the environmental influence index to generate a communication quality index of the mobile communication terminal, and comparing the communication quality index with a preset quality index threshold to obtain a detection result; according to the invention, multiple items of information of the mobile communication terminal are collected through the system, comprehensive analysis is carried out in combination with transmission information and environment information, and a more comprehensive and accurate communication quality assessment method is provided. By generating the transmission index and the environmental influence index and combining dimensionless processing and correlation analysis, the communication quality index can be scientifically evaluated, and the problem that multiple factors cannot be comprehensively considered in the traditional technology is effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of communication detection, and in particular to a mobile communication terminal detection method and device. Background Art

[0002] In the field of modern mobile communications, with the widespread use of smart devices and the continuous advancement of mobile network technology, users have higher and higher expectations for communication quality. However, existing communication quality monitoring methods mainly rely on a single indicator, such as evaluating the communication experience through signal strength or data transmission rate. The limitation of this method is that it cannot fully reflect the impact of multiple factors on communication quality in the actual communication environment, such as network congestion, interference, environmental noise, and device performance. In addition, traditional evaluation methods often lack real-time monitoring of environmental information, resulting in a large gap between the evaluation results and the actual user experience. When users face intermittent or delayed connections, it is difficult to obtain effective feedback and solutions.

[0003] In addition, existing technologies generally fail to effectively integrate multi-dimensional data analysis of transmission information and environmental information. Under the combined effect of multiple factors, the volatility of communication quality increases, making users often dissatisfied during use. Especially in complex network environments, communication quality assessment lacks flexibility and adaptability, and cannot respond to changes in network conditions in a timely manner. This evaluation method that lacks comprehensive analysis not only reduces the user experience, but also brings difficulties to network operators in troubleshooting and service optimization. Overall, current technology cannot achieve a comprehensive and accurate evaluation of communication quality, and a new method is urgently needed to overcome these shortcomings in order to provide a more reliable user experience and service guarantee.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0005] The object of the present invention is to provide a mobile communication terminal detection method and device to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] Step 1: Collect multiple pieces of information of the mobile communication terminal during the communication process, including transmission information and environmental information; the transmission information is the data transmission rate, buffer overflow amplitude and buffer overflow duration, and the environmental information is the disconnection duration, noise intensity and signal strength during the communication process;

[0008] Step 2: Analyze the data transmission rate, buffer overflow amplitude, and buffer overflow duration to generate a transmission index; obtain signal-to-noise ratio data based on the collected noise intensity and signal intensity, and analyze the signal-to-noise ratio and disconnection duration to generate an environmental impact index;

[0009] Step 3: After the transmission index and the environmental impact index are dimensionless, correlation analysis is performed to generate the communication quality index of the mobile communication terminal;

[0010] Step 4: Compare the communication quality index of the mobile communication terminal with a preset quality index reference threshold, generate an evaluation level of the current mobile communication terminal according to the comparison result, and give corresponding measures.

[0011] Furthermore, the method for obtaining the disconnection duration is as follows: obtaining the number of disconnections and reconnections during the communication process within the time t before the current moment, and accumulating the duration of each disconnection and reconnection as the disconnection duration, recorded as N k ;

[0012] The signal-to-noise ratio is calculated by obtaining the noise intensity and signal intensity at multiple moments within t time before the current moment, and calculating the average noise intensity. and the mean signal strength The ratio of the mean signal intensity to the mean noise intensity is taken as the signal-to-noise ratio M:

[0013] The formula for obtaining the signal-to-noise ratio data M based on the collected noise intensity mean and signal intensity mean is:

[0014]

[0015] Among them, M is the signal-to-noise ratio data, is the average signal strength at multiple acquisition times within the time period t, is the mean value of the noise intensity at multiple acquisition times within the time period t.

[0016] Furthermore, the method for obtaining the buffer overflow duration is: obtaining the buffer capacity value of each frame within the time t before the current moment frame by frame, counting the time when the buffer capacity value exceeds the buffer capacity limit value within the time t before the current moment, and taking the time as the buffer overflow duration, recorded as Sk;

[0017] The method for obtaining the buffer overflow amplitude is: calculating the difference between the maximum buffer capacity value within t time before the current moment and the buffer capacity limit value, and taking the difference as the buffer overflow amplitude, recorded as Yk.

[0018] Furthermore, the logic for generating the transmission index ZS is:

[0019] Collect the data transmission rate of the mobile communication terminal device during the current communication process;

[0020] Perform data analysis on the data transmission rate R, the buffer overflow amplitude Yk, and the buffer overflow duration Sk, and generate a transmission index ZS according to the following formula:

[0021]

[0022] Where ZS is the transmission index, R is the data transmission rate, α is its preset proportionality coefficient, Yk is the buffer overflow amplitude, β is its preset proportionality coefficient, Sk is the buffer overflow duration, τ is its preset proportionality coefficient, and α>β>τ>0, and C1 is the first constant correction index.

[0023] Furthermore, the formula for generating the environmental impact index RS is as follows:

[0024]

[0025] Where RS is the environmental impact index, M is the signal-to-noise ratio data, γ is its preset proportionality coefficient, Nk is the disconnection duration, is its preset proportionality coefficient, and C2 is the second constant correction index.

[0026] Furthermore, the formula for generating the communication quality index QS is as follows:

[0027] QS = e ω*ZS +μ+RS+C3

[0028] Where QS is the communication quality index, ZS is the transmission index, ω is its preset proportionality coefficient, RS is the environmental impact index, μ is its preset proportionality coefficient, and ω>μ>0, and C3 is the third constant correction index.

[0029] Furthermore, the logic for generating the evaluation level of the current mobile communication terminal is:

[0030] When QS ≤ 0.5QY, it is judged that the current detection result is poor, and it is recommended to change the network operator or check the device hardware problems and perform necessary network optimization;

[0031] When 0.5QY < QS ≤ QY, it is judged that the current detection result is medium, and it is recommended that the user try to restart the device or change the location to improve the signal quality;

[0032] When QS > QY, it is judged that the current detection result is excellent, and the current usage status should be maintained without change;

[0033] Where QS is the communication quality index and QY is the quality index reference threshold.

[0034] The present invention further provides a mobile communication terminal detection device, which is used to execute the above-mentioned mobile communication terminal detection method, including:

[0035] A data acquisition module collects multiple information of the mobile communication terminal during the communication process, including transmission information and environmental information; the transmission information is the data transmission rate, buffer overflow amplitude and buffer overflow duration, and the environmental information is the disconnection duration, noise intensity and signal strength during the communication process;

[0036] The data analysis module performs data analysis on the data transmission rate, buffer overflow amplitude, and buffer overflow duration to generate a transmission index; obtains signal-to-noise ratio data based on the collected noise intensity and signal intensity, and performs data analysis on the signal-to-noise ratio and disconnection duration to generate an environmental impact index;

[0037] The quality index generation module performs dimensionless processing on the transmission index and the environmental impact index, performs correlation analysis, and generates a communication quality index of the mobile communication terminal;

[0038] The comprehensive evaluation module compares the communication quality index of the mobile communication terminal with a preset quality index reference threshold, generates an evaluation grade of the current mobile communication terminal according to the comparison result, and gives corresponding measures.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention provides a more comprehensive and accurate communication quality evaluation method by systematically collecting multiple information of mobile communication terminals and combining transmission information with environmental information for comprehensive analysis. By generating a transmission index and an environmental impact index, and combining dimensionless processing with correlation analysis, the communication quality index can be scientifically evaluated. This method effectively solves the problem that multiple factors cannot be comprehensively considered in traditional technologies, which not only improves the accuracy of communication quality evaluation, but also provides users with a more reliable user experience. Through clear evaluation levels and corresponding improvement measures, users can understand the communication status in a timely manner and optimize it, thereby significantly improving overall user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0042] Figure 2 It is a schematic diagram of the overall device module of the present invention. DETAILED DESCRIPTION

[0043] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0044] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0045] Example:

[0046] See also Figure 1 , the present invention provides a technical solution:

[0047] A mobile communication terminal detection method, the specific steps comprising:

[0048] Step 1: Collect multiple pieces of information of the mobile communication terminal during the communication process, including transmission information and environmental information; the transmission information is the data transmission rate, buffer overflow amplitude and buffer overflow duration, and the environmental information is the disconnection duration, noise intensity and signal strength during the communication process;

[0049] In this embodiment, the method for obtaining the disconnection duration is: obtaining the number of disconnections and reconnections during the communication process within the time t before the current moment, and accumulating the duration of each disconnection and reconnection as the disconnection duration, recorded as N k ;

[0050] The signal-to-noise ratio is calculated by obtaining the noise intensity and signal intensity at multiple moments within t time before the current moment, and calculating the average noise intensity. and the mean signal strength The ratio of the mean signal intensity to the mean noise intensity is taken as the signal-to-noise ratio M:

[0051] The formula for obtaining the signal-to-noise ratio data M based on the collected noise intensity mean and signal intensity mean is:

[0052]

[0053] Among them, M is the signal-to-noise ratio data, is the average signal strength at multiple acquisition times within the time period t, is the mean value of the noise intensity at multiple acquisition times within the time period t.

[0054] The method for obtaining the buffer overflow duration is as follows: obtaining the buffer capacity value of each frame within the time t before the current moment frame by frame, counting the time when the buffer capacity value exceeds the buffer capacity limit value within the time t before the current moment, and taking the time as the buffer overflow duration, recorded as Sk;

[0055] The method for obtaining the buffer overflow amplitude is: calculating the difference between the maximum buffer capacity value within t time before the current moment and the buffer capacity limit value, and taking the difference as the buffer overflow amplitude, recorded as Yk.

[0056] The advantage of step 1 is that by comprehensively collecting multiple information of mobile communication terminals during the communication process, the communication quality assessment is more accurate and comprehensive. Specifically, transmission information can reveal the actual performance during data processing and transmission, while environmental information provides external conditions that affect communication quality. Compared with the single indicator commonly relied on in existing technologies, this multi-dimensional information collection can better reflect the actual status of communication quality and help identify potential problems.

[0057] Compared with the existing technology, the beneficial effect of this step is reflected in its comprehensiveness and real-time nature. Traditional methods often ignore changes in environmental factors, resulting in evaluation results that cannot accurately reflect the actual experience of users. By considering both transmission information and environmental information, this step can capture various abnormal situations that may occur during the communication process, thus laying a solid foundation for subsequent data analysis. This all-round information acquisition not only improves the accuracy of the evaluation, but also provides more targeted suggestions for subsequent processing and optimization.

[0058] Step 2: Analyze the data transmission rate, buffer overflow amplitude, and buffer overflow duration to generate a transmission index; obtain signal-to-noise ratio data based on the collected noise intensity and signal intensity, and analyze the signal-to-noise ratio and disconnection duration to generate an environmental impact index;

[0059] In this embodiment, the logic for generating the transmission index ZS is:

[0060] Collect the data transmission rate of the mobile communication terminal device during the current communication process;

[0061] The data transmission rate R, buffer overflow amplitude Yk and buffer overflow duration Sk are analyzed to generate the transmission index ZS according to the following formula:

[0062]

[0063] Among them, ZS is the transmission index, R is the data transmission rate, α is its preset proportional coefficient, Yk is the buffer overflow amplitude, β is its preset proportional coefficient, Sk is the buffer overflow duration, τ is its preset proportional coefficient, and α>β>τ>0, because high rate means better bandwidth utilization and can transmit more data per unit time, which is crucial for data transmission; C1 is the first constant correction index; when the data transmission rate R increases, the communication terminal can receive and process more data in a shorter time, and the transmission index ZS increases; the larger the buffer overflow amplitude, the more difficult it is for the data to overflow, and the lower the data loss rate, which has a positive effect on ZS; when the buffer overflow duration Sk increases, that is, when the buffer overflows, new data packets cannot be stored, resulting in the loss of these data, which will affect the integrity of the transmission, so the transmission index ZS decreases; that is, it shows that R, Yk and ZS are positively correlated, and Sk and ZS are negatively correlated.

[0064] The formula for generating the environmental impact index RS is as follows:

[0065]

[0066] Among them, RS is the environmental impact index, M is the signal-to-noise ratio data, γ is its preset proportional coefficient, Nk is the disconnection duration, is its preset scaling factor, and This is because a high signal-to-noise ratio means a clearer signal and a lower error rate, which is crucial for real-time applications. C2 is the second constant correction index. When the signal-to-noise ratio M increases, it means that the signal is stronger and the environmental impact index RS increases; when the disconnection duration Nk increases, a long disconnection will cause service interruption, affecting the user's continuity experience, and the environmental impact index RS decreases; that is, M is positively correlated with RS, and Nk is negatively correlated with RS.

[0067] Step 3: After the transmission index and the environmental impact index are dimensionless, correlation analysis is performed to generate the communication quality index of the mobile communication terminal;

[0068] In this embodiment, the communication quality index QS of the mobile communication terminal is generated according to the following formula:

[0069] QS=e ω*ZS +μ*RS+C3

[0070] Among them, QS is the communication quality index, ZS is the transmission index, ω is its preset proportional coefficient, RS is the environmental impact index, μ is its preset proportional coefficient, and ω > μ > 0. This is because the transmission index directly reflects the speed, stability, and reliability of data transmission, and these factors are particularly important for the user experience, especially in real-time applications where users are more sensitive to latency and data loss; C3 is the third constant correction index; when ZS increases, the communication quality index QS increases accordingly; when the environmental impact index RS increases, the communication quality index QS increases accordingly; that is to say, ZS, RS and the communication quality index QS are positively correlated.

[0071] Step 4: Compare the communication quality index of the mobile communication terminal with a preset quality index reference threshold, and generate an evaluation level for the current mobile communication terminal according to the comparison result, and give corresponding measures;

[0072] In this embodiment, the logic for generating the evaluation level of the current mobile communication terminal is as follows:

[0073] When QS ≤ 0.5QY, it is determined that the current detection result is poor, and it is recommended to change the network operator or check the device hardware problems and perform necessary network optimization;

[0074] When 0.5QY < QS ≤ QY, it is determined that the current detection result is medium, and it is recommended that the user try to restart the device or change the location to improve the signal quality;

[0075] When QS > QY, it is determined that the current detection result is excellent, and the current usage status is maintained without change;

[0076] Among them, QS is the communication quality index, QY is the quality index reference threshold, and the specific value of QY is determined by the expert group.

[0077] By comparing the communication quality index of the mobile communication terminal with a preset quality index reference threshold in Step 4 to generate an evaluation level and provide corresponding optimization measures, it has significant advantages. Compared with the prior art, this step can achieve more accurate and dynamic quality assessment, helping users and operators quickly identify communication problems and take effective measures, thereby improving service quality and user experience. At the same time, this step provides clear action guidance for the overall solution, making network management more efficient, promoting the rational allocation of resources, and enhancing the stability and adaptability of the network.

[0078] Please refer to Figure 2 , the present invention also further provides a mobile communication terminal detection device, including:

[0079] A data acquisition module collects multiple information of the mobile communication terminal during the communication process, including transmission information and environmental information; the transmission information is the data transmission rate, buffer overflow amplitude and buffer overflow duration, and the environmental information is the disconnection duration, noise intensity and signal strength during the communication process;

[0080] The data analysis module performs data analysis on the data transmission rate, buffer overflow amplitude, and buffer overflow duration to generate a transmission index; obtains signal-to-noise ratio data based on the collected noise intensity and signal intensity, and performs data analysis on the signal-to-noise ratio and disconnection duration to generate an environmental impact index;

[0081] The quality index generation module performs dimensionless processing on the transmission index and the environmental impact index, performs correlation analysis, and generates a communication quality index of the mobile communication terminal;

[0082] The comprehensive evaluation module compares the communication quality index of the mobile communication terminal with a preset quality index reference threshold, generates an evaluation grade of the current mobile communication terminal according to the comparison result, and gives corresponding measures.

[0083] The specific values ​​of α, β, γ, μ and ω in the formula are generally determined by technical personnel in this field according to actual conditions. The technical personnel in this field collect multiple groups of sample data, and set corresponding preset proportional coefficients for each group of sample data. The preset proportional coefficients and the collected sample data are substituted into the formula. Through repeated experiments and parameter adjustments, the accuracy of the model output and the rationality of the results are observed, and these factor coefficients are gradually adjusted. The performance and effect of the model under different parameter settings are compared to find the optimal coefficient combination. The calculated factor coefficients are screened and averaged to obtain the values ​​of α, β, γ, μ and ω.

[0084] In addition, the size of the preset factor coefficient is to quantify each parameter to obtain a specific value. In order to facilitate subsequent comparison, the size of the coefficient depends on the amount of sample data and the preset proportional coefficient initially set by technical personnel in this field for each set of sample data. It is not unique as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0085] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0086] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0087] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0088] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A mobile communication terminal detection method, characterized in that: The specific steps include: Step 1: Collect multiple pieces of information during the communication process of the mobile communication terminal, including transmission information and environmental information; the transmission information is the data transmission rate, buffer overflow amplitude, and buffer overflow duration, and the environmental information is the disconnection duration, noise intensity, and signal intensity during the communication process; Step 2: Perform data analysis on the data transmission rate, buffer overflow amplitude, and buffer overflow duration to generate a transmission index; obtain signal-to-noise ratio data based on the collected noise intensity and signal intensity, and perform data analysis on the signal-to-noise ratio and disconnection duration to generate an environmental impact index; Step 3: After performing dimensionless processing on the transmission index and the environmental impact index, perform correlation analysis to generate a communication quality index of the mobile communication terminal; Step 4: Compare the communication quality index of the mobile communication terminal with a preset quality index reference threshold, and based on the comparison result, generate an evaluation level of the current mobile communication terminal and give corresponding measures.

2. A mobile communication terminal detection method according to claim 1, characterized in that: The method for obtaining the disconnection duration is as follows: obtaining the number of disconnections and reconnections during the communication process within the time t before the current moment, and accumulating the duration of each disconnection and reconnection as the disconnection duration, recorded as N k ; The signal-to-noise ratio is calculated by obtaining the noise intensity and signal intensity at multiple moments within t time before the current moment, and calculating the average noise intensity. and the mean signal strength The ratio of the mean signal intensity to the mean noise intensity is taken as the signal-to-noise ratio M: The formula for obtaining the signal-to-noise ratio data M based on the collected average noise intensity and average signal intensity is: Among them, M is the signal-to-noise ratio data, is the average signal strength at multiple acquisition times within the time period t, is the mean value of the noise intensity at multiple acquisition times within the time period t.

3. A mobile communication terminal detection method according to claim 1, characterized in that: The method for obtaining the buffer overflow duration is: Obtain the buffer capacity values of each frame within the previous t time before the current moment frame by frame, count the time when the buffer capacity value exceeds the buffer capacity limit value within the previous t time before the current moment, and use this time as the buffer overflow duration, denoted as Sk; The method for obtaining the buffer overflow amplitude is: Calculate the difference between the maximum buffer capacity value and the buffer capacity limit value within the previous t time before the current moment, and use this difference as the buffer overflow amplitude, denoted as Yk.

4. A mobile communication terminal detection method according to claim 1, characterized in that: The logic for generating the transmission index ZS is: Collect the data transmission rate of the mobile communication terminal device during the current communication process; Perform data analysis on the data transmission rate R, buffer overflow amplitude Yk, and buffer overflow duration Sk, and generate the transmission index ZS according to the following formula: Where, ZS is the transmission index, R is the data transmission rate, α is its preset proportionality coefficient, Yk is the buffer overflow amplitude, β is its preset proportionality coefficient, Sk is the buffer overflow duration, τ is its preset proportionality coefficient, and α>β>τ>0, C1 is the first constant correction index.

5. A mobile communication terminal detection method according to claim 1, characterized in that: The formula for generating the environmental impact index RS is as follows: Among them, RS is the environmental impact index, M is the signal-to-noise ratio data, γ is its preset proportional coefficient, Nk is the disconnection duration, is its preset scaling factor, and C2 is the second constant correction index.

6. A mobile communication terminal detection method according to claim 1, characterized in that: The formula for generating the communication quality index QS is as follows: QS=e ω*ZS +μ*RS+C3 Where, QS is the communication quality index, ZS is the transmission index, ω is its preset proportionality coefficient, RS is the environmental impact index, μ is its preset proportionality coefficient, and ω>μ>0, C3 is the third constant correction index.

7. A mobile communication terminal detection method according to claim 1, characterized in that: The logic for generating the evaluation level of the current mobile communication terminal is: When QS≤0.5QY, it is judged that the current detection result is poor, and it is recommended to change the network operator or check the device hardware problems and perform necessary network optimization; When 0.5QY<QS≤QY, it is judged that the current detection result is medium, and it is recommended that the user try to restart the device or change the location to improve the signal quality; When QS>QY, it is judged that the current detection result is excellent, and keep the current usage status without change; Where, QS is the communication quality index, and QY is the quality index reference threshold.

8. A mobile communication terminal detection device, characterized in that: The mobile communication terminal detection device is used to execute the mobile communication terminal detection method according to any one of claims 1 to 7, comprising: A data acquisition module collects multiple information of the mobile communication terminal during the communication process, including transmission information and environmental information; the transmission information is the data transmission rate, buffer overflow amplitude and buffer overflow duration, and the environmental information is the disconnection duration, noise intensity and signal strength during the communication process; The data analysis module performs data analysis on the data transmission rate, buffer overflow amplitude, and buffer overflow duration to generate a transmission index; obtains signal-to-noise ratio data based on the collected noise intensity and signal intensity, and performs data analysis on the signal-to-noise ratio and disconnection duration to generate an environmental impact index; The quality index generation module performs dimensionless processing on the transmission index and the environmental impact index, performs correlation analysis, and generates a communication quality index of the mobile communication terminal; The comprehensive evaluation module compares the communication quality index of the mobile communication terminal with a preset quality index reference threshold, generates an evaluation grade of the current mobile communication terminal according to the comparison result, and gives corresponding measures.

Images