A communication quality evaluation system and method based on radio frequency module

Abstract

The invention discloses a communication quality evaluation system and method based on a radio frequency module, and relates to the technical field of communication quality. The technical key points of the scheme are as follows: calculating the similarity between radio frequency modules of all models, dividing all radio frequency modules into different types according to the similarity relationship, establishing a radio frequency module performance characteristic database, screening out the indicators emphasized by each type of radio frequency module through the bias of each type of radio frequency module on each test indicator, integrating an automatic identification module to read the radio frequency module model, querying the corresponding radio frequency module type and its emphasized indicators in the radio frequency module performance characteristic database, calculating the communication quality evaluation value through the real-time operation data of the emphasized indicators and the weights corresponding to the emphasized indicators, comparing the communication quality evaluation value with the communication quality threshold, taking corresponding measures according to the comparison result, and avoiding misjudgment caused by confusing the performance characteristics of modules of different types.

Description

Technical Field

[0001] The present invention relates to the technical field of communication quality, and in particular to a communication quality evaluation system and method based on a radio frequency module. Background Art

[0002] With the rapid development of the Internet of Things (IoT) and wireless communication technology, RF modules, as core components of wireless communication systems, have been widely used in various fields. RF modules transmit information in space through electromagnetic waves, realizing long-distance and contactless communication between devices, greatly promoting the development of technologies such as intelligence, automation and remote monitoring.

[0003] In a Chinese invention application with application publication number CN116614838A, a wireless communication quality assessment system is disclosed, which solves the technical problems of low assessment efficiency and poor assessment accuracy. The system adopts a reference signal acquisition and measurement unit connected to the back end of the signal source, which is connected to a quality assessment processing unit; and a communication signal acquisition and storage unit arranged at a corresponding position of the receiving device, which acquires and stores the communication signal at time ti; the quality assessment unit is also connected to a radio frequency device performance monitoring unit and a channel performance assessment unit; and the technical solution of the quality assessment processing unit executing a program can be used in wireless communication quality assessment.

[0004] In view of the above application, the prior art still has the following deficiencies:

[0005] 1. When communication quality problems occur, it will be difficult to quickly and accurately locate the problem if the RF modules are not classified and evaluated, because different types of RF modules may have similar problems and fault phenomena, but the solutions and optimization strategies are very different. Failure to classify and evaluate will complicate the process of troubleshooting and increase the time and cost of solving the problem.

[0006] 2. Different types of RF modules have different performance characteristics in terms of power output, noise suppression, frequency stability, etc. If these modules are not distinguished during communication quality evaluation, inaccurate evaluation results may be obtained due to confusion about their performance differences. For example, a high-noise receiving module may be misjudged as having normal performance, or an inefficient power amplifier module may be regarded as a high-performance module, both of which will cause the evaluation results to deviate from reality. Summary of the invention

[0007] 1. Technical issues to be solved

[0008] In view of the deficiencies in the prior art, the present invention provides a communication quality evaluation system and method based on a radio frequency module, which calculates the similarity between radio frequency modules of all models, divides all radio frequency modules into different types according to the similarity relationship, screens out the indicators that each type of radio frequency module focuses on, assigns different weights to the focused indicators, calculates the communication quality evaluation value through the real-time operation data of the focused indicators and the weights corresponding to the focused indicators, compares the communication quality evaluation value with the communication quality threshold, and takes corresponding measures according to the comparison results, thereby solving the problems mentioned in the background technology.

[0009] (II) Technical solution

[0010] To achieve the above objectives, the present invention is implemented by the following technical scheme: a communication quality evaluation method based on a radio frequency module, comprising the following steps:

[0011] Perform performance tests on all types of RF modules, calculate the similarity between all types of RF modules based on various test indicators, classify all RF modules into different types based on the similarity relationship, classify and store the test data based on the type of RF module, and establish a RF module performance feature database;

[0012] Calculate the bias of each type of RF module on each test indicator through the test indicator data of each type of RF module, compare the bias of each type of RF module on each test indicator with the bias threshold, and select the indicator that each type of RF module focuses on based on the comparison result;

[0013] An integrated automatic identification module is used to read the RF module model and serial number identification information. Based on the read RF module model and serial number identification information, the corresponding RF module type and its focus indicators are queried in the established RF module performance characteristic database, and the operating data of the focus indicators are collected in real time, and different weights are assigned to the focus indicators.

[0014] The communication quality evaluation value is calculated by focusing on the real-time operation data of the indicator and the weight corresponding to the indicator, and the communication quality evaluation value is compared with the communication quality threshold, and corresponding measures are taken according to the comparison result.

[0015] Furthermore, the various test indicators of each type of RF module are recorded in detail, including but not limited to transmit power, receive sensitivity, frequency stability and phase noise, and repeated tests are performed several times, and the average value is taken as the value of each test indicator of each type of RF module.

[0016] Furthermore, each test indicator is standardized and the calculation formula is as follows:

[0017]

[0018] Among them, D ij represents the initial value of the jth test index of the i-th type of RF module before standardization, X ij represents the value of the jth test index of the i-th type of RF module, μ j , σ j They respectively represent the mean value and standard deviation of the jth test indicator in all models of RF modules.

[0019] Furthermore, based on various test indicators, the similarity between different types of RF modules is calculated. The calculation formula is as follows:

[0020]

[0021] Among them, r i,a represents the similarity between the ith type of RF module and the ath type of RF module, X ij represents the value of the jth test index of the i-th type of RF module, X aj It represents the value of the jth test index of the ath type RF module, j = 1, 2, ..., S, and S represents the number of test indexes.

[0022] Furthermore, the similarity between all types of RF modules is calculated, and two RF modules of different models are taken as RF module pairs. All RF modules are divided into different types according to the similarity relationship. According to the type of RF module, the test data is classified and stored, and a RF module performance characteristic database is established, which specifically includes:

[0023] When the similarity of the RF module pair is greater than or equal to the similarity threshold, the two RF modules of different models are classified as the same type; when the similarity of the RF module pair is less than the similarity threshold, the two RF modules of different models are classified as different types.

[0024] Furthermore, the bias of each type of RF module on each test indicator is calculated through the test indicator data of each type of RF module. The calculation formula is as follows:

[0025]

[0026] Among them, BS j Indicates the bias of each type of RF module on the jth test indicator, X bj represents the value of the jth test indicator of the bth type of RF module in each type, b=1,2,…,B, B represents the number of RF module models in each type, It represents the average value of the jth test index of all types of RF modules, ε represents the correction parameter, 0<ε<<1.

[0027] Furthermore, when the bias degree of each type of RF module in any test indicator is greater than or equal to the bias degree threshold, the indicator is marked as the emphasis indicator of this type of RF module; when the bias degree of each type of RF module in any test indicator is less than the bias degree threshold, no operation is performed.

[0028] Furthermore, the communication quality evaluation value is calculated by using the real-time operation data of the focus indicator and the weight corresponding to the focus indicator. The calculation formula is as follows:

[0029]

[0030] Where CQ represents the communication quality evaluation value, V k Represents the real-time operation data of the kth focus indicator of the RF module, ω k It represents the weight corresponding to the kth emphasis indicator, k = 1, 2, …, K, K represents the number of emphasis indicators.

[0031] Furthermore, when the communication quality evaluation value is greater than or equal to the communication quality threshold, the current operating state is maintained; when the communication quality evaluation value is less than the communication quality threshold, an alarm is issued to notify relevant personnel, and the model and focus indicators of the RF module are provided.

[0032] A communication quality evaluation system based on a radio frequency module includes: a performance test and classification module, an index screening module, an automatic identification and data acquisition module, and a communication quality evaluation module; wherein,

[0033] The performance test and classification module performs performance tests on all types of RF modules. Based on various test indicators, it calculates the similarity between all types of RF modules, classifies all RF modules into different types based on the similarity relationship, and stores the test data by category based on the type of RF module, and establishes a database of RF module performance characteristics.

[0034] The indicator screening module calculates the bias of each type of RF module on each test indicator through the test indicator data of each type of RF module, compares the bias of each type of RF module on each test indicator with the bias threshold, and screens out the indicators that each type of RF module focuses on based on the comparison results;

[0035] Automatic identification and data acquisition module: integrated automatic identification module, reads the RF module model and serial number identification information, queries the corresponding RF module type and its focus indicators in the established RF module performance characteristic database according to the read RF module model and serial number identification information, collects the operating data of the focus indicators in real time, and assigns different weights to the focus indicators;

[0036] The communication quality assessment module calculates the communication quality assessment value by focusing on the real-time operation data of the indicator and the weight corresponding to the indicator, compares the communication quality assessment value with the communication quality threshold, and takes corresponding measures according to the comparison result.

[0037] (III) Beneficial effects

[0038] The present invention provides a communication quality assessment system and method based on a radio frequency module, which has the following beneficial effects:

[0039] (1) By carefully measuring multiple key performance indicators of the RF module and organizing the test results into an RF module performance characteristic database, not only the specific performance indicators of each module are recorded, but also the differences between them are reflected, providing a solid foundation for subsequent analysis and evaluation.

[0040] (2) By evaluating RF modules by category and identifying the bias of each type of module in specific test indicators, the root cause of communication quality problems can be located more accurately, avoiding misjudgment caused by confusing the performance characteristics of different types of modules, thereby improving the efficiency and accuracy of problem solving. By distinguishing the performance characteristics of different RF modules, the evaluation result bias caused by confusing performance differences can be avoided, ensuring that the evaluation results are closer to reality, and providing a reliable basis for subsequent communication system design, optimization and maintenance.

[0041] (3) By integrating the automatic identification module and querying the RF module performance characteristic database, the specific type of the RF module and its corresponding focus indicators can be quickly identified, ensuring that the performance characteristics of different types of RF modules can be distinguished when conducting communication quality evaluation, avoiding evaluation errors caused by confusing module performance differences. By collecting the operating data of the focus indicators in real time and combining it with the previously established RF module performance characteristic database, the communication quality can be evaluated more accurately and the possibility of misjudgment and missed judgment can be reduced.

[0042] (4) By comparing the calculated communication quality evaluation value with the preset communication quality threshold, the quality status of the current communication system can be quickly determined. Once the evaluation value is found to be lower than the threshold, the corresponding early warning mechanism or optimization measures can be immediately triggered, thereby achieving rapid response and timely processing of communication quality issues. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the steps of the communication quality assessment method based on the radio frequency module of the present invention;

[0044] Figure 2 It is a flow chart of a method for evaluating communication quality based on a radio frequency module according to the present invention;

[0045] Figure 3The figure is a schematic diagram of the structure of the communication quality evaluation system based on the radio frequency module of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] See also Figure 1-Figure 2 The present invention provides a communication quality assessment method based on a radio frequency module, comprising the following steps:

[0048] Step 1: Perform performance tests on all types of RF modules, calculate the similarity between all types of RF modules based on various test indicators, classify all RF modules into different types based on the similarity relationship, classify and store the test data based on the type of RF module, and establish a RF module performance feature database;

[0049] The step 1 includes the following contents:

[0050] Step 101: Select test equipment, including spectrum analyzer, signal generator and other auxiliary equipment, build a test platform in an interference-free or low-interference environment to ensure the accuracy of the test results, connect all test equipment, and perform pre-tests to ensure that the equipment works properly;

[0051] Spectrum analyzer: used to measure the frequency, power distribution, harmonics and spurious characteristics of RF signals; Signal generator: used to generate RF signals with specific frequency, amplitude and modulation mode; Other auxiliary equipment: such as power meters, attenuators, coaxial cables, connectors, etc., to ensure accurate transmission and measurement of test signals;

[0052] Step 102: Use a spectrum analyzer, a signal generator, and a power meter to perform performance tests on all types of RF modules, including but not limited to transmit power, receive sensitivity, frequency stability, and phase noise;

[0053] Transmit power: the output power of the RF module under specified conditions, receive sensitivity: the minimum signal strength that the RF module can detect, frequency stability: the ability of the RF signal to maintain a constant frequency over a long period of time, phase noise: the random phase fluctuations of the RF signal in the frequency domain;

[0054] Transmit power test: Use a signal generator to send a signal of a certain power to the RF module, and measure the transmit power of the RF module using a power meter or spectrum analyzer; Receiving sensitivity test: Gradually reduce the output power of the signal generator until the RF module cannot correctly receive the signal, and record the signal strength at this time as the receiving sensitivity; Frequency stability test: Set the signal generator to output a fixed-frequency RF signal, monitor and record the frequency fluctuation of the RF module during long-term operation, and measure the frequency offset using a spectrum analyzer to evaluate the frequency stability; Phase noise test: Use a spectrum analyzer to measure the phase noise of the RF module when transmitting or receiving signals;

[0055] Step 103: Record the various test indicators of each type of RF module in detail, including transmit power, receive sensitivity, frequency stability, phase noise, etc., and repeat the test for multiple times, take the average value as the value of each test indicator of each type of RF module, and standardize each test indicator to eliminate the influence of dimension and range. The calculation formula is as follows:

[0056]

[0057] Among them, D ij represents the initial value of the jth test index of the i-th type of RF module before standardization, X ij represents the value of the jth test index of the i-th type of RF module, μ j , σ j They represent the mean value and standard deviation of the jth test index in all models of RF modules;

[0058] Step 104: Based on various test indicators, calculate the similarity between different types of RF modules. The calculation formula is as follows:

[0059]

[0060] Among them, r i,a represents the similarity between the ith type of RF module and the ath type of RF module, X ij represents the value of the jth test index of the i-th type of RF module, X aj represents the value of the jth test index of the ath type RF module, j = 1, 2, ..., S, S represents the number of test indexes;

[0061] Step 105: Preset a similarity threshold, calculate the similarity between all types of RF modules, take two RF modules of different models as RF module pairs, classify all RF modules into different types according to the similarity relationship, classify and store the test data, and establish a RF module performance feature database. The similarity relationship specifically includes:

[0062] When the similarity of the RF module pair is greater than or equal to the similarity threshold, it indicates that the similarity relationship is similar, that is, the two RF modules of different models are of the same type; otherwise, it indicates that the similarity relationship is dissimilar, that is, the two RF modules of different models are of different types;

[0063] It should be noted that the similarity threshold is a critical value used to determine the similarity between two objects or data sets. In the RF module scenario, similarity is usually used to quantify the similarity between RF modules of different models. The similarity value range is generally between 0 and 1, where 0 indicates complete dissimilarity and 1 indicates complete similarity. The similarity threshold is a critical value set based on this similarity calculation.

[0064] When using, combine the contents of step 101 to step 105:

[0065] By carefully measuring multiple key performance indicators of the RF module and organizing the test results into an RF module performance characteristic database, not only the specific performance indicators of each module are recorded, but also the differences between them are reflected, providing a solid foundation for subsequent analysis and evaluation.

[0066] Step 2: Calculate the bias of each type of RF module on each test indicator through the test indicator data of each type of RF module, compare the bias of each type of RF module on each test indicator with the bias threshold, and select the indicator that each type of RF module focuses on based on the comparison result;

[0067] The step 2 includes the following contents:

[0068] Step 201: Obtain various test index data of the same type of RF modules from the RF module performance characteristic database, and calculate the bias of each type of RF module on each test index through the test index data of each type of RF module. The calculation formula is as follows:

[0069]

[0070] Among them, BS j Indicates the bias of each type of RF module on the jth test indicator, X bj represents the value of the jth test indicator of the bth type of RF module in each type, b=1,2,…,B, B represents the number of RF module models in each type, It represents the average value of the jth test index of all types of RF modules. ε represents the correction parameter, which is used to prevent the denominator from being 0. 0<ε<<1;

[0071] Step 202: pre-set a bias threshold, compare the bias of each type of RF module on each test indicator with the bias threshold, and select the indicators that each type of RF module focuses on based on the comparison result, including:

[0072] When the bias degree of each type of RF module in any test indicator is greater than or equal to the bias degree threshold, it means that the indicator is the indicator that the RF module of this type focuses on, and the indicator is marked as the indicator that the RF module of this type focuses on;

[0073] When the bias degree of any test indicator of each type of RF module is less than the bias degree threshold, it means that the indicator is not an indicator focused on by the type of RF module, and no operation is performed.

[0074] It should be noted that in order to evaluate which indicator each type of RF module focuses on, the deviation of each type of RF module in each test indicator relative to the average value of all types of RF modules is calculated. The deviation reflects the degree of deviation of a certain type of RF module in a certain indicator relative to the overall average level. The deviation threshold is a critical value used to measure whether the performance of the RF module in a specific test indicator is significant.

[0075] When used, combine the contents of step 201 to step 202:

[0076] By evaluating RF modules by category and identifying the bias of each type of module in specific test indicators, the root cause of communication quality problems can be located more accurately, avoiding misjudgment caused by confusing the performance characteristics of different types of modules, thereby improving the efficiency and accuracy of problem solving. By distinguishing the performance characteristics of different RF modules, the evaluation result deviation caused by confusing performance differences is avoided, ensuring that the evaluation results are closer to reality, and providing a reliable basis for subsequent communication system design, optimization and maintenance.

[0077] Step 3: Integrate the automatic identification module, read the RF module model and serial number identification information, query the corresponding RF module type and its focus indicators in the established RF module performance characteristic database according to the read RF module model and serial number identification information, collect the operating data of the focus indicators in real time, and assign different weights to the focus indicators;

[0078] The step three includes the following contents:

[0079] Step 301: Integrate the automatic identification module, install or integrate an RFID (radio frequency identification) reader or other automatic identification technology (such as a QR code scanner) hardware device on the key nodes of the communication system (such as base stations, terminal devices, etc.) to achieve non-contact reading of the RF module model and serial number identification information;

[0080] It should be noted that a communication system is a system that transmits information using electrical signals (or optical signals), also known as a telecommunications system. It is an organic whole composed of a number of units with specific functions, interactions and interdependence to achieve a unified goal, and the transmission of information in a specific medium is realized;

[0081] Step 302: When the RF module is connected to the communication system, its model and serial number are automatically identified and read, and the corresponding RF module type and its focus index are queried in the established RF module performance characteristic database according to the read RF module model and serial number identification information;

[0082] Step 303: for the queried RF module type and its focus indicators, the operation data of the focus indicators are collected in real time through the corresponding sensors or monitoring equipment, and the collected real-time operation data is preprocessed, including data cleaning (removing noise, outliers, etc.), data conversion (normalization, standardization, etc.), etc., to improve the accuracy and efficiency of subsequent analysis;

[0083] Step 304: assigning different weights to the emphasis indicators according to the emphasis indicators of the radio frequency module, and storing the processed real-time operation data and its weight information in a database;

[0084] It should be noted that different weights are assigned to these indicators according to the emphasis of the RF module. The weight assignment can be based on historical data, expert experience or specific algorithms (such as hierarchical analysis method, principal component analysis method, etc.) to ensure the rationality of the weights and accurately reflect the impact of each indicator on the communication quality. For example, assuming that the RF module mainly includes evaluation indicators such as transmit power (affecting the strength and coverage of the signal), receiving sensitivity (affecting the ability to receive weak signals), error vector amplitude (measurement of the quality of the modulated signal), frequency error (characterizing the degree to which the signal frequency deviates from the center frequency), and spectrum flatness (characterizing the degree of power flatness of the signal in the channel), for the RF module of frequency stability, according to the emphasis of the RF module, the importance of each indicator relative to the frequency stability is determined by the hierarchical analysis method, thereby determining the weight of each indicator.

[0085] When used, combine the contents of step 301 to step 304:

[0086] By integrating the automatic identification module and querying the RF module performance characteristic database, the specific type of the RF module and its corresponding focus indicators can be quickly identified, ensuring that the performance characteristics of different types of RF modules can be distinguished when conducting communication quality evaluation, avoiding evaluation errors caused by confusing module performance differences. By collecting the operating data of the focus indicators in real time and combining it with the previously established RF module performance characteristic database, the communication quality can be evaluated more accurately and the possibility of misjudgment and missed judgment can be reduced.

[0087] Step 4: Calculate the communication quality evaluation value through the real-time operation data of the focus indicator and the weight corresponding to the focus indicator, compare the communication quality evaluation value with the communication quality threshold, and take corresponding measures according to the comparison result.

[0088] The step 4 includes the following contents:

[0089] Step 401: Acquire the real-time operation data of the focus index of the radio frequency module and the weight corresponding to the focus index, and calculate the communication quality evaluation value by the real-time operation data of the focus index and the weight corresponding to the focus index. The calculation formula is as follows:

[0090]

[0091] Where CQ represents the communication quality evaluation value, V k Represents the real-time operation data of the kth focus indicator of the RF module, ω k represents the weight corresponding to the kth emphasis indicator, k = 1, 2, ..., K, K represents the number of emphasis indicators;

[0092] Step 402: pre-set a communication quality threshold, compare the communication quality assessment value with the communication quality threshold, and take corresponding measures according to the comparison result, specifically including:

[0093] When the communication quality evaluation value is greater than or equal to the communication quality threshold, it means that the current communication quality is good or acceptable, and the current operation state is maintained;

[0094] When the communication quality assessment value is less than the communication quality threshold, it indicates that there is a problem with the current communication quality. An alarm is issued or relevant personnel are notified so that they can pay attention to and handle it in time. The model and focus indicators of the RF module are provided so that relevant personnel can locate the cause of the problem.

[0095] It should be noted that the communication quality threshold is a quantitative indicator used to measure whether the communication system or RF module meets the established quality requirements in actual operation. This threshold is used to define the minimum acceptable communication quality level of the communication system or RF module in different application scenarios.

[0096] When used, combine the contents of step 401 to step 402:

[0097] By comparing the calculated communication quality assessment value with the preset communication quality threshold, the quality status of the current communication system can be quickly determined. Once the assessment value is found to be lower than the threshold, the corresponding early warning mechanism or optimization measures can be immediately triggered, thereby achieving rapid response and timely handling of communication quality issues.

[0098] See also Figure 3The present invention also provides a communication quality evaluation system based on a radio frequency module, comprising: a performance test and classification module, an index screening module, an automatic identification and data acquisition module, and a communication quality evaluation module; wherein,

[0099] The performance test and classification module performs performance tests on all types of RF modules. Based on various test indicators, it calculates the similarity between all types of RF modules, classifies all RF modules into different types based on the similarity relationship, and stores the test data by category based on the type of RF module, and establishes a database of RF module performance characteristics.

[0100] The indicator screening module calculates the bias of each type of RF module on each test indicator through the test indicator data of each type of RF module, compares the bias of each type of RF module on each test indicator with the bias threshold, and screens out the indicators that each type of RF module focuses on based on the comparison results;

[0101] Automatic identification and data acquisition module: integrated automatic identification module, reads the RF module model and serial number identification information, queries the corresponding RF module type and its focus indicators in the established RF module performance characteristic database according to the read RF module model and serial number identification information, collects the operating data of the focus indicators in real time, and assigns different weights to the focus indicators;

[0102] The communication quality assessment module calculates the communication quality assessment value by focusing on the real-time operation data of the indicator and the weight corresponding to the indicator, compares the communication quality assessment value with the communication quality threshold, and takes corresponding measures according to the comparison result.

[0103] In the application, the several formulas involved are all calculated by removing dimensions and taking their numerical values. The formula is a formula of the most recent real situation obtained by collecting a large amount of data and performing software simulation. The coefficients in the formula are set by technicians in this field according to actual conditions.

[0104] 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. A person of ordinary skill 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 in combination with electronic hardware, computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0105] 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.

[0106] 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 communication quality assessment method based on a radio frequency module, characterized in that: The following steps are involved: Perform performance tests on all types of RF modules, calculate the similarity between all types of RF modules based on various test indicators, classify all types of RF modules into different types based on the similarity relationship, classify and store the test data based on the type of RF module, and establish a RF module performance feature database; Calculate the bias of each type of RF module on each test indicator through the test indicator data of each type of RF module, compare the bias of each type of RF module on each test indicator with the bias threshold, and select the indicator that each type of RF module focuses on based on the comparison result; An integrated automatic identification module is used to read the RF module model and serial number identification information. Based on the read RF module model and serial number identification information, the corresponding RF module type and its focus indicators are queried in the established RF module performance characteristic database, and the operating data of the focus indicators are collected in real time, and different weights are assigned to the focus indicators. The communication quality evaluation value is calculated by focusing on the real-time operation data of the indicator and the weight corresponding to the indicator, and the communication quality evaluation value is compared with the communication quality threshold, and corresponding measures are taken according to the comparison result.

2. The method for evaluating communication quality based on a radio frequency module according to claim 1, characterized in that: The test indicators of each type of RF module are recorded in detail, including but not limited to transmit power, receive sensitivity, frequency stability and phase noise, and repeated tests are performed several times, and the average value is taken as the value of each test indicator of each type of RF module.

3. The method for evaluating communication quality based on a radio frequency module according to claim 2, characterized in that: Each test indicator is standardized and the calculation formula is as follows: Among them, D ij represents the initial value of the jth test index of the i-th type of RF module before standardization, X ij represents the value of the jth test index of the i-th type of RF module, μ j , σ j They respectively represent the mean value and standard deviation of the jth test indicator in all models of RF modules.

4. The method for evaluating communication quality based on a radio frequency module according to claim 3, characterized in that: Based on various test indicators, the similarity between different types of RF modules is calculated. The calculation formula is as follows: Among them, r i,a represents the similarity between the ith type of RF module and the ath type of RF module, X ij represents the value of the jth test index of the i-th type of RF module, X aj It represents the value of the jth test index of the ath type RF module, j = 1, 2, ..., S, and S represents the number of test indexes.

5. The method for evaluating communication quality based on a radio frequency module according to claim 4, characterized in that: Calculate the similarity between all types of RF modules, take two different types of RF modules as RF module pairs, and classify all types of RF modules into different types based on the similarity relationship. Classify and store the test data according to the type of RF module, and establish a RF module performance feature database, including: When the similarity of the RF module pair is greater than or equal to the similarity threshold, the two RF modules of different models are classified as the same type; when the similarity of the RF module pair is less than the similarity threshold, the two RF modules of different models are classified as different types.

6. The method for evaluating communication quality based on a radio frequency module according to claim 1, characterized in that: Through the test index data of each type of RF module, the bias of each type of RF module in each test index is calculated. The calculation formula is as follows: Among them, BS j Indicates the bias of each type of RF module on the jth test indicator, X bj represents the value of the jth test indicator of the bth type of RF module in each type, b=1,2,…,B, B represents the number of RF module models in each type, It represents the average value of the jth test index of all types of RF modules, ε represents the correction parameter, 0<ε<<1.

7. The method for evaluating communication quality based on a radio frequency module according to claim 6, characterized in that: When the bias degree of each type of RF module in any test indicator is greater than or equal to the bias degree threshold, the indicator is marked as the emphasis indicator of this type of RF module; when the bias degree of each type of RF module in any test indicator is less than the bias degree threshold, no operation is performed.

8. The method for evaluating communication quality based on a radio frequency module according to claim 1, characterized in that: The communication quality evaluation value is calculated by the real-time operation data of the focus indicators and the weights corresponding to the focus indicators. The calculation formula is as follows: Where CQ represents the communication quality evaluation value, V k Represents the real-time operation data of the kth focus indicator of the RF module, ω k It represents the weight corresponding to the kth emphasis indicator, k = 1, 2, ..., K, K represents the number of emphasis indicators.

9. The method for evaluating communication quality based on a radio frequency module according to claim 8, characterized in that: When the communication quality evaluation value is greater than or equal to the communication quality threshold, the current operating state is maintained; when the communication quality evaluation value is less than the communication quality threshold, an alarm is issued to notify relevant personnel, and the model and focus indicators of the RF module are provided.

10. A communication quality assessment system based on a radio frequency module, used to implement the method according to any one of claims 1 to 9, characterized in that: include: The performance test and classification module performs performance tests on all types of RF modules. Based on various test indicators, it calculates the similarity between all types of RF modules, classifies all types of RF modules into different types based on the similarity relationship, and classifies and stores the test data according to the type of RF module, and establishes a database of RF module performance characteristics. The indicator screening module calculates the bias of each type of RF module on each test indicator through the test indicator data of each type of RF module, compares the bias of each type of RF module on each test indicator with the bias threshold, and screens out the indicators that each type of RF module focuses on based on the comparison results; The automatic identification and data acquisition module reads the RF module model and serial number identification information, queries the corresponding RF module type and its focus indicators in the established RF module performance characteristic database based on the read RF module model and serial number identification information, collects the operating data of the focus indicators in real time, and assigns different weights to the focus indicators; The communication quality assessment module calculates the communication quality assessment value by focusing on the real-time operation data of the indicator and the weight corresponding to the indicator, compares the communication quality assessment value with the communication quality threshold, and takes corresponding measures according to the comparison result.

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