Intelligent detection method and system for communication state of 5G communication engineering

Abstract

The invention discloses a 5G communication engineering communication state intelligent detection method and system, and relates to the technical field of communication engineering.According to the system, when it is evaluated that a current communication signal is abnormal through a signal jitter coefficient J and a jitter threshold F1, a communication state calculation unit further analyzes the fluctuation of the signal strength S and the signal-to-noise ratio SNR; respectively calculating through a volatility algorithm formula, obtaining a signal strength fluctuation coefficient Svar and a signal-to-noise ratio fluctuation coefficient SNRvar, associating the obtained signal strength fluctuation coefficient Svar, the signal-to-noise ratio variance SNRvar, the average time delay Davg and the signal jitter coefficient J to obtain a comprehensive evaluation index Q, and presetting a comprehensive evaluation threshold F2 and the obtained comprehensive evaluation index Q, and secondary comparison evaluation is carried out, and corresponding optimization is carried out according to the evaluation result, so that the performance and stability of the 5G communication network are comprehensively and systematically guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of communication engineering technology, and specifically to a method and system for intelligently detecting the communication status of a 5G communication engineering. Background Art

[0002] 5G communication network engineering involves the process and methods of designing, building and optimizing 5G mobile communication networks, including not only the deployment of infrastructure, but also network planning, spectrum management, wireless resource optimization, network security, integration of business support system BSS and operation support system OSS, etc. 5G communication engineering is the engineering field of design, deployment and optimization of the fifth generation of mobile communication technology. 5G technology aims to provide higher speed, lower latency, greater connection capacity and higher network reliability to support future communication needs, including applications such as the Internet of Things, augmented reality, virtual reality and autonomous driving.

[0003] At present, due to the lack of effective means of comprehensive performance evaluation, 5G communication networks may face problems such as large latency fluctuations, frequent signal jitter, and unstable signal quality. Existing communication network monitoring methods are often limited to the monitoring of a single indicator and cannot comprehensively evaluate the combined impact of multiple key indicators. This makes it difficult to accurately capture the comprehensive performance problems caused by latency, jitter, signal strength, and signal-to-noise ratio fluctuations in real network environments. These abnormal effects directly affect users' communication experience in high-speed mobile or densely populated areas. At the same time, for operators, the instability of network performance may lead to improper resource allocation and reduced service quality, which in turn affects market competitiveness and customer satisfaction. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method and system for intelligent detection of the communication status of a 5G communication project, which solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: including a data acquisition module, a data feature extraction unit, a jitter analysis module, a communication status calculation unit and a comprehensive evaluation unit; The data acquisition module acquires the sending and receiving communication signals through the 5G base station, and collects communication data in real time according to the deployed sensors and monitoring equipment, and summarizes the communication data to generate a communication data set and stores it in the database; The data feature extraction unit is used to pre-process the collected communication data and then extract features of the signal strength S, signal-to-noise ratio SNR and delay D of the communication data; The jitter analysis module is used to calculate and obtain the signal jitter coefficient J based on the extracted delay D feature, and compare and evaluate the preset jitter threshold F1 with the obtained signal jitter coefficient J to analyze the stability and quality of data transmission during 5G communication; The communication status calculation unit is used to further calculate and analyze the fluctuation of the signal strength S and the signal-to-noise ratio SNR when detecting that the signal jitter coefficient J is abnormal, and obtain the signal strength fluctuation coefficient S var and signal-to-noise ratio fluctuation coefficient SNR var , and the obtained signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg Correlate with the signal jitter coefficient J to obtain the comprehensive evaluation index Q; The comprehensive evaluation unit is used to compare the preset comprehensive evaluation threshold F2 with the obtained comprehensive evaluation index Q to evaluate the communication status.

[0006] Preferably, the data acquisition module includes a signal acquisition unit and a signal storage unit; The signal acquisition unit is used to receive and send communication frequency bands through 5G base stations, and collect signal strength S, signal quality and delay D information through user terminal equipment, and analyze the signal quality in the communication frequency band through a spectrum analyzer to obtain the signal noise level Z; The signal storage unit aggregates the collected signal strength S, delay D and noise level Z into a communication data set, and constructs a database to set up a data transmission API interface to automatically transfer the collected communication data set to the database.

[0007] Preferably, the data feature extraction unit includes a data preprocessing unit and a data feature extraction unit; The data preprocessing unit is used to remove outliers, missing data and noise data in the communication data set, and apply filters and smoothing algorithms to remove noise introduced by sensors and environmental interference, and then unify different data in the communication data set into the same dimension and range; The feature extraction module is used to extract features of the signal strength S and the noise level Z after preprocessing the communication data set to obtain the average signal strength S avg and the average signal-to-noise ratio SNR avg , the feature extraction method is as follows; The signal strength S feature extraction method is: all samples of the collected signal strength S are averaged to obtain the average signal strength S avg ; The noise level Z feature extraction method is: by combining the signal strength S to perform difference calculation, which is specifically expressed as , Z i represents the noise level Z of the i-th sampling, S i Indicates the signal strength of the i-th sampling, and obtains the signal-to-noise ratio SNR i , and then the signal-to-noise ratio SNR i After averaging, the average signal-to-noise ratio SNR is obtained avg ; The delay D feature extraction method is: the collected delay D is averaged to obtain the average delay D avg .

[0008] Preferably, the jitter analysis module includes a signal jitter calculation unit and a jitter evaluation unit; The jitter calculation unit is used to construct a jitter calculation formula according to the collected delay D to obtain a signal jitter coefficient J; The signal jitter coefficient J is obtained by the following calculation formula: ; Where N1 represents the number of times the signal delay D is sampled, that is, the number of data points for measuring the delay, D i represents the delay of the i-th sampling, Indicates the absolute value of the difference between two consecutive sampling delays.

[0009] Preferably, the jitter evaluation unit is used to preset the jitter threshold F1 according to the mean value of the 5G communication jitter data in the normal state, and then make a preliminary comparative evaluation with the obtained signal jitter coefficient J, evaluate the frequency and amplitude of the change of the data packet arrival time, and analyze the stability and real-time performance of the communication. The specific evaluation method is as follows; When the signal jitter coefficient J> the jitter threshold F1, it means that the communication signal state is abnormal and the network transmission is unstable. At this time, further comprehensive analysis is performed; When the signal jitter coefficient J ≤ the jitter threshold F1, it means that the communication signal is normal, and it is assessed that there is no abnormality in the communication status of the current 5G communication project.

[0010] Preferably, the communication state calculation unit includes a signal strength volatility calculation unit, a signal-to-noise ratio volatility calculation unit and a comprehensive index calculation unit, which is used to be triggered when the signal jitter coefficient J detects an abnormality, and further comprehensively analyze the degree of change of the communication signal; The signal strength fluctuation calculation unit is used to extract the average signal strength S avg Construct the signal strength fluctuation algorithm formula and calculate the signal strength fluctuation coefficient S var ; The signal intensity fluctuation coefficient S var Obtained through the following algorithm formula; ; Where Si represents the signal strength of the i-th sampling, and N2 represents the number of sampling times of the signal strength S.

[0011] Preferably, the signal-to-noise ratio volatility calculation unit is used to calculate the average signal-to-noise ratio SNR according to the extracted average signal-to-noise ratio SNR. avg , construct the signal-to-noise ratio fluctuation algorithm formula, and calculate the signal-to-noise ratio variance SNR var , to measure the fluctuation of signal-to-noise ratio; The signal-to-noise ratio variance SNR var Obtained through the following algorithm formula; ; In the formula, SNR i Represents the signal-to-noise ratio of the i-th sampling, SNR avg represents the average value of the signal-to-noise ratio, and N3 represents the total number of signal-to-noise ratio SNR sampling.

[0012] Preferably, the comprehensive index calculation unit is used to obtain the signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg and jitter coefficient J, and then perform dimensionless processing and associated calculation to obtain the comprehensive evaluation index Q; The comprehensive evaluation index Q is obtained by the following algorithm formula; ; Where a1, a2, a3 and a4 represent the signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg and the preset weight value of the jitter coefficient J, and a1+a2+a3+a4=1, and its specific value is set by the user.

[0013] Preferably, the comprehensive evaluation unit is used to preset a comprehensive evaluation threshold F2 and the obtained comprehensive evaluation index Q, perform a secondary comparative evaluation, and comprehensively and systematically evaluate the performance and stability of the 5G communication network. The specific evaluation scheme is as follows; When the comprehensive evaluation index Q ≥ the comprehensive evaluation threshold F2, it means that the network status is normal, and the delay D and jitter are real fluctuations; When the comprehensive evaluation index Q is less than the comprehensive evaluation threshold F2, it indicates that the network status is abnormal. At this time, it is necessary to adjust the base station power, change the frequency allocation and optimize the network resources to improve the network performance and user experience.

[0014] A method for intelligent control of a robotic arm based on visual positioning comprises the following steps: S1. First, receive and send communication signals through 5G base stations, deploy sensors and monitoring equipment, collect communication data in real time, and then summarize and obtain communication data sets to store in the database; S2. Use filters and smoothing algorithms to remove outliers, missing data, and noise data, unify the data to the same dimension and range, and perform feature extraction on the communication data set to obtain the average delay D. avg , average signal strength S avg and the average signal-to-noise ratio SNR avg ; S3, calculating the signal jitter coefficient J according to the delay D, and comparing and evaluating the signal jitter coefficient J with the preset jitter threshold F1; S4. When the signal jitter is abnormal, further calculation is required to obtain the signal strength fluctuation coefficient S var SNR var , and then the average delay D avg Correlate with the signal jitter coefficient J to obtain the comprehensive evaluation index Q; S5. Finally, the comprehensive evaluation index Q is compared with the preset comprehensive evaluation threshold F2 to comprehensively evaluate the performance and stability of the 5G communication network, and optimization measures are implemented based on the evaluation results.

[0015] The present invention provides a method and system for intelligently detecting the communication status of a 5G communication project. It has the following beneficial effects: (1) The system can quickly reflect the status of the 5G communication network by collecting and processing communication data in real time. The data acquisition module combines sensors and monitoring equipment to obtain key indicators such as signal strength S, signal-to-noise ratio SNR and delay D in real time and store them in the database. This real-time data processing and analysis effectively improves the sensitivity to changes in network status, helps to quickly discover and diagnose communication problems, and improves the stability and reliability of the communication system.

[0016] (2) The system can analyze and evaluate the jitter of communication signals through the jitter analysis module. By calculating and analyzing the signal jitter coefficient J, and then performing a preliminary comparative evaluation of the preset jitter threshold F1 and the signal jitter coefficient J, the system can intelligently identify abnormal communication signals. This capability can not only help operators and engineering teams respond to and solve problems in a timely manner, but also predict potential communication risks, thereby effectively reducing network failure rates and improving service levels.

[0017] (3) When the system evaluates that the current communication signal is abnormal through the signal jitter coefficient J and the jitter threshold F1, the communication status calculation unit will further analyze the volatility of the signal strength S and the signal-to-noise ratio SNR, calculate them respectively through the volatility algorithm formula, and obtain the signal strength fluctuation coefficient S varand signal-to-noise ratio fluctuation coefficient SNR var , and then the obtained signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg The comprehensive evaluation index Q is obtained by correlating it with the signal jitter coefficient J, a comprehensive evaluation threshold F2 is preset and compared with the obtained comprehensive evaluation index Q, a secondary comparative evaluation is performed, and corresponding optimization is performed according to the evaluation results, so as to comprehensively and systematically guarantee the performance and stability of the 5G communication network. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a module diagram of a 5G communication engineering communication status intelligent detection system of the present invention; Figure 2 This is a flow chart of a 5G communication engineering communication status intelligent detection system according to the present invention. DETAILED DESCRIPTION

[0019] 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. Example 1

[0020] See also Figure 1 , the present invention provides a 5G communication engineering communication status intelligent detection system. To achieve the above purpose, the present invention is implemented through the following technical scheme: including a data acquisition module, a data feature extraction unit, a jitter analysis module, a communication status calculation unit and a comprehensive evaluation unit; The data acquisition module obtains the sending and receiving communication signals through the 5G base station, and collects communication data in real time based on the deployed sensors and monitoring equipment, and summarizes the communication data to generate a communication data set and store it in the database; The data feature extraction unit is used to pre-process the collected communication data and then extract features of the signal strength S, signal-to-noise ratio SNR and delay D of the communication data; The jitter analysis module is used to calculate and obtain the signal jitter coefficient J based on the extracted delay D feature, and compare and evaluate the preset jitter threshold F1 with the obtained signal jitter coefficient J to analyze the stability and quality of data transmission during 5G communication; The communication status calculation unit is used to further calculate and analyze the fluctuation of the signal strength S and the signal-to-noise ratio SNR when detecting that the signal jitter coefficient J is abnormal, and obtain the signal strength fluctuation coefficient S var and signal-to-noise ratio fluctuation coefficient SNRvar , and the obtained signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg Correlate with the signal jitter coefficient J to obtain the comprehensive evaluation index Q; The comprehensive evaluation unit is used to compare the preset comprehensive evaluation threshold F2 with the obtained comprehensive evaluation index Q to evaluate the communication status.

[0021] In this embodiment, the system uses the data acquisition module to obtain and store the communication signals sent and received by the 5G base station in real time, combined with sensors and monitoring equipment, to ensure comprehensive control and recording of communication data. This not only improves the transparency of network operation and data availability, but also provides a solid data foundation for subsequent analysis and optimization. Secondly, the introduction of the data feature extraction unit makes it more efficient and accurate to extract key features from huge communication data. By extracting and analyzing important indicators such as signal strength S, signal-to-noise ratio SNR and delay D, network managers can quickly identify and locate potential problems or optimization points in the network, so as to make targeted network adjustments and optimizations, further improve service quality and user experience, and the application of the jitter analysis module strengthens the monitoring ability of communication stability and quality. By calculating the signal jitter coefficient J and comparing and evaluating it with the preset jitter threshold F1, the system can promptly detect and respond to unstable conditions in signal transmission, thereby reducing communication interruptions or quality degradation caused by jitter, and ensuring the stability and reliability of the network. The introduction of the communication status calculation unit and the comprehensive evaluation unit combines multiple key indicators for comprehensive evaluation, which can not only respond quickly when an abnormality is detected, but also conduct a more comprehensive and in-depth analysis of the network health status through the comprehensive evaluation indicator Q. This comprehensive evaluation mechanism not only improves the intelligence level of network management, but also provides operators and enterprise decision makers with clearer and more reliable data support, enabling them to make more informed network investment and operation decisions based on factual data. Example 2

[0022] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the data acquisition module includes a signal acquisition unit and a signal storage unit; The signal acquisition unit is used to receive and send communication frequency bands through 5G base stations, and collect signal strength S, signal quality and delay D information through user terminal equipment, and analyze the signal quality in the communication frequency band through a spectrum analyzer to obtain the signal noise level Z; The signal storage unit aggregates the collected signal strength S, delay D and noise level Z into a communication data set, and constructs a database to set up a data transmission API interface to automatically transfer the collected communication data set to the database.

[0023] The data feature extraction unit includes a data preprocessing unit and a data feature extraction unit; The data preprocessing unit is used to remove outliers, missing data and noise data in the communication data set, and apply filters and smoothing algorithms to remove the noise introduced by sensors and environmental interference, and then unify the different data in the communication data set to the same dimension and range; The feature extraction module is used to extract features of signal strength S and noise level Z after preprocessing the communication data set to obtain the average signal strength S avg and the average signal-to-noise ratio SNR avg ,The feature extraction method is as follows; Signal strength S feature extraction method: All samples of the collected signal strength S are averaged to obtain the average signal strength S avg ; The noise level Z feature extraction method is: by combining the signal strength S to perform difference calculation, which is specifically expressed as , Z i represents the noise level Z of the i-th sampling, S i Indicates the signal strength of the i-th sampling, and obtains the signal-to-noise ratio SNR i , and then the signal-to-noise ratio SNR i After averaging, the average signal-to-noise ratio SNR is obtained avg ; Delay D feature extraction method: average the collected delay D to obtain the average delay D avg .

[0024] In this embodiment, the system includes a signal acquisition unit and a signal storage unit through a data acquisition module, receives and sends communication signals through a 5G base station, and deploys sensors and monitoring equipment to collect communication data in real time, and then summarizes and obtains communication data sets and stores them in a database. The signal storage unit integrates the collected signal strength S, delay D, and noise level Z into a communication data set, and automatically stores them through a database and an API interface to ensure the real-time availability and long-term preservation of the data. The data feature extraction unit is divided into a data preprocessing unit and a data feature extraction unit. The data preprocessing unit removes outliers and noise data through filters and smoothing algorithms to unify the communication data to the same dimension and range. The feature extraction module further processes the preprocessed data to extract the average signal strength S avg , average signal-to-noise ratio SNR avg and the average delay D avg These feature extraction methods effectively optimize the data analysis process and help network managers quickly and accurately evaluate and optimize the performance and stability of communication networks. Example 3

[0025] This embodiment is explained in Example 2. Please refer to Figure 1 ,Specifically: the jitter analysis module includes a signal jitter calculation unit and a jitter evaluation unit; The jitter calculation unit is used to construct a jitter calculation formula based on the collected delay D to obtain the signal jitter coefficient J; The signal jitter coefficient J is obtained by the following calculation formula; ; Where N1 represents the number of times the signal delay D is sampled, that is, the number of data points for measuring the delay, D i represents the delay of the i-th sampling, Indicates the absolute value of the difference between two consecutive sampling delays.

[0026] The jitter evaluation unit is used to preset the jitter threshold F1 according to the average value of the 5G communication jitter data in the normal state, and then make a preliminary comparative evaluation with the obtained signal jitter coefficient J, evaluate the frequency and amplitude of the change of the data packet arrival time, and analyze the stability and real-time performance of the communication. The specific evaluation method is as follows; When the signal jitter coefficient J> the jitter threshold F1, it means that the communication signal state is abnormal and the network transmission is unstable. At this time, further comprehensive analysis is performed; When the signal jitter coefficient J ≤ the jitter threshold F1, it means that the communication signal is normal, and it is assessed that there is no abnormality in the communication status of the current 5G communication project.

[0027] In this embodiment, the system effectively evaluates and optimizes the stability and real-time performance of the communication signal through the signal jitter calculation unit and the jitter evaluation unit. The jitter calculation unit calculates the signal jitter coefficient J based on the collected delay data D using a formula, and the jitter evaluation unit sets the preset jitter threshold F1 according to the mean value of the jitter data under normal conditions, and compares and evaluates it with the signal jitter coefficient J actually obtained. When the signal jitter coefficient J is greater than the jitter threshold F1, it indicates that the communication signal is abnormal, the network transmission is unstable, and further comprehensive analysis and optimization are required. When the signal jitter coefficient J is less than or equal to the jitter threshold F1, it means that the communication signal is normal, which verifies the stability and reliability of the current 5G communication project. The introduction of this jitter analysis module not only improves the real-time monitoring capability of the network transmission quality, but also effectively prevents communication interruption or data transmission quality degradation caused by signal jitter. Through timely jitter evaluation, network managers can quickly respond and adjust network parameters to ensure that the 5G communication project maintains a stable and efficient operating state in various usage scenarios, further improving the user's communication experience quality. Example 4

[0028] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the communication status calculation unit includes a signal strength volatility calculation unit, a signal-to-noise ratio volatility calculation unit and a comprehensive index calculation unit, which is used to be triggered when the signal jitter coefficient J detects an abnormality, and further comprehensively analyze the degree of change of the communication signal; The signal strength fluctuation calculation unit is used to calculate the average signal strength S according to the extracted avg Construct the signal strength fluctuation algorithm formula and calculate the signal strength fluctuation coefficient S var ; Signal strength fluctuation coefficient S var Obtained through the following algorithm formula; ; Where Si represents the signal strength of the i-th sampling, and N2 represents the number of sampling times of the signal strength S.

[0029] The signal-to-noise ratio fluctuation calculation unit is used to calculate the average signal-to-noise ratio SNR according to the extracted avg , construct the signal-to-noise ratio fluctuation algorithm formula, and calculate the signal-to-noise ratio variance SNR var , to measure the fluctuation of signal-to-noise ratio; Signal-to-Noise Ratio Variance SNR var Obtained through the following algorithm formula; ; In the formula, SNR i Represents the signal-to-noise ratio of the i-th sampling, SNR avg represents the average value of the signal-to-noise ratio, and N3 represents the total number of signal-to-noise ratio SNR sampling.

[0030] In this embodiment, the system further analyzes and evaluates the change of the communication signal through the signal strength fluctuation calculation unit, the signal-to-noise ratio fluctuation calculation unit and the comprehensive index calculation unit. First, the signal strength fluctuation calculation unit and the signal-to-noise ratio fluctuation calculation unit use the average signal strength S avg and the average signal-to-noise ratio SNR avg , use the algorithm formula to calculate the signal strength fluctuation coefficient S var SNR var The comprehensive index calculation unit takes into account the signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var And other key indicators such as average delay D avg, through appropriate trade-offs and comprehensive evaluation, a more comprehensive communication status evaluation is provided. The introduction of these computing units not only enhances the ability to monitor communication signal quality and performance changes, but also provides strong data support for operators and network managers, which helps to adjust network configuration and optimize services in real time, and improves the stability of 5G communication networks and the quality of user experience.

[0031] Example 5 This embodiment is explained in Example 1, please refer to Figure 1 Specifically: the comprehensive index calculation unit is used to obtain the signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg and jitter coefficient J, and then perform dimensionless processing and associated calculation to obtain the comprehensive evaluation index Q; The comprehensive evaluation index Q is obtained through the following algorithm formula; ; Where a1, a2, a3 and a4 represent the signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg and the preset weight value of the jitter coefficient J, and a1+a2+a3+a4=1, and its specific value is set by the user.

[0032] The comprehensive evaluation unit is used to preset the comprehensive evaluation threshold F2 and the obtained comprehensive evaluation index Q, conduct a secondary comparative evaluation, and comprehensively and systematically evaluate the performance and stability of the 5G communication network. The specific evaluation scheme is as follows; When the comprehensive evaluation index Q ≥ the comprehensive evaluation threshold F2, it means that the network status is normal, and the delay D and jitter are real fluctuations; When the comprehensive evaluation index Q is less than the comprehensive evaluation threshold F2, it indicates that the network status is abnormal. At this time, it is necessary to adjust the base station power, change the frequency allocation and optimize the network resources to improve the network performance and user experience.

[0033] In this embodiment, the system uses a comprehensive index calculation unit to convert the obtained signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg The jitter coefficient J is dimensionlessly processed and then correlated to obtain the comprehensive evaluation index Q. The preset comprehensive evaluation threshold F2 is used for secondary comparative evaluation of the obtained comprehensive evaluation index Q, so as to comprehensively and systematically evaluate the performance and stability of the 5G communication network. According to the evaluation results, effective decision-making support is also provided for network managers, which helps to more accurately adjust and optimize the 5G communication network, thereby continuously improving service quality and user satisfaction.

[0034] Example 6 See also Figure 1 and Figure 2 , a robot arm intelligent control method based on visual positioning, comprising the following steps: S1. First, receive and send communication signals through 5G base stations, deploy sensors and monitoring equipment, collect communication data in real time, and then summarize and obtain communication data sets to store in the database; S2. Use filters and smoothing algorithms to remove outliers, missing data, and noise data, unify the data to the same dimension and range, and perform feature extraction on the communication data set to obtain the average delay D. avg , average signal strength S avg and the average signal-to-noise ratio SNR avg ; S3, calculating the signal jitter coefficient J according to the delay D, and comparing and evaluating the signal jitter coefficient J with the preset jitter threshold F1; S4. When the signal jitter is abnormal, further calculation is required to obtain the signal strength fluctuation coefficient S var SNR var , and then the average delay D avg Correlate with the signal jitter coefficient J to obtain the comprehensive evaluation index Q; S5. Finally, the comprehensive evaluation index Q is compared with the preset comprehensive evaluation threshold F2 to comprehensively evaluate the performance and stability of the 5G communication network, and optimization measures are implemented based on the evaluation results.

[0035] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications and substitutions may be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A 5G communication engineering communication status intelligent detection system, Features: It includes a data acquisition module, a data feature extraction unit, a jitter analysis module, a communication status calculation unit and a comprehensive evaluation unit; The data acquisition module acquires the sending and receiving communication signals through the 5G base station, and collects communication data in real time according to the deployed sensors and monitoring equipment, and summarizes the communication data to generate a communication data set and stores it in the database; The data feature extraction unit is used to pre-process the collected communication data and then extract features of the signal strength S, signal-to-noise ratio SNR and delay D of the communication data; The jitter analysis module is used to calculate and obtain the signal jitter coefficient J based on the extracted delay D feature, and compare and evaluate the preset jitter threshold F1 with the obtained signal jitter coefficient J to analyze the stability and quality of data transmission during 5G communication; The communication status calculation unit is used to further calculate and analyze the fluctuation of the signal strength S and the signal-to-noise ratio SNR when detecting that the signal jitter coefficient J is abnormal, and obtain the signal strength fluctuation coefficient S var and signal-to-noise ratio fluctuation coefficient SNR var , and the obtained signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg Correlate with the signal jitter coefficient J to obtain the comprehensive evaluation index Q; The comprehensive evaluation unit is used to compare the preset comprehensive evaluation threshold F2 with the obtained comprehensive evaluation index Q to evaluate the communication status.

2. According to claim 1, a 5G communication engineering communication status intelligent detection system, Features: The data acquisition module includes a signal acquisition unit and a signal storage unit; The signal acquisition unit is used to receive and send communication frequency bands through 5G base stations, and collect signal strength S, signal quality and delay D information through user terminal equipment, and analyze the signal quality in the communication frequency band through a spectrum analyzer to obtain the signal noise level Z; The signal storage unit aggregates the collected signal strength S, delay D and noise level Z into a communication data set, and constructs a database to set up a data transmission API interface to automatically transfer the collected communication data set to the database.

3. According to claim 2, a 5G communication engineering communication status intelligent detection system, Features: The data feature extraction unit includes a data preprocessing unit and a data feature extraction unit; The data preprocessing unit is used to remove outliers, missing data and noise data in the communication data set, and apply filters and smoothing algorithms to remove noise introduced by sensors and environmental interference, and then unify different data in the communication data set into the same dimension and range; The feature extraction module is used to extract features of the signal strength S and the noise level Z after preprocessing the communication data set to obtain the average signal strength S avg and the average signal-to-noise ratio SNR avg , the feature extraction method is as follows; The signal strength S feature extraction method is: all samples of the collected signal strength S are averaged to obtain the average signal strength S avg ; The noise level Z feature extraction method is: by combining the signal strength S to perform difference calculation, which is specifically expressed as Z i represents the noise level Z of the i-th sampling, S i Indicates the signal strength of the i-th sampling, and obtains the signal-to-noise ratio SNR i , and then the signal-to-noise ratio SNR i After averaging, the average signal-to-noise ratio SNR is obtained avg ; The delay D feature extraction method is: the collected delay D is averaged to obtain the average delay D avg .

4. According to claim 3, a 5G communication engineering communication status intelligent detection system, Features: The jitter analysis module includes a signal jitter calculation unit and a jitter evaluation unit; The jitter calculation unit is used to construct a jitter calculation formula according to the collected delay D to obtain a signal jitter coefficient J; The signal jitter coefficient J is obtained by the following calculation formula: ； Where N1 represents the number of times the signal delay D is sampled, and D i represents the delay of the i-th sampling, Indicates the absolute value of the difference between two consecutive sampling delays.

5. According to claim 4, a 5G communication engineering communication status intelligent detection system, Features: The jitter evaluation unit is used to preset the jitter threshold F1 according to the mean value of the normal 5G communication jitter data, and then make a preliminary comparison and evaluation with the obtained signal jitter coefficient J, evaluate the frequency and amplitude of the change of the data packet arrival time, and analyze the stability and real-time performance of the communication. The specific evaluation method is as follows; When the signal jitter coefficient J> the jitter threshold F1, it means that the communication signal state is abnormal and the network transmission is unstable. At this time, further comprehensive analysis is performed; When the signal jitter coefficient J ≤ the jitter threshold F1, it means that the communication signal is normal, and it is assessed that there is no abnormality in the communication status of the current 5G communication project.

6. A 5G communication engineering communication status intelligent detection system according to claim 1, Features: The communication status calculation unit includes a signal strength fluctuation calculation unit, a signal-to-noise ratio fluctuation calculation unit and a comprehensive index calculation unit, which is used to be triggered when the signal jitter coefficient J detects an abnormality, and further comprehensively analyze the degree of change of the communication signal; The signal strength fluctuation calculation unit is used to extract the average signal strength S avg Construct the signal strength fluctuation algorithm formula and calculate the signal strength fluctuation coefficient S var ; The signal intensity fluctuation coefficient S var Obtained through the following algorithm formula; ； Where Si represents the signal strength of the i-th sampling, and N2 represents the number of sampling times of the signal strength S.

7. A 5G communication engineering communication status intelligent detection system according to claim 6, Features: The signal-to-noise ratio fluctuation calculation unit is used to extract the average signal-to-noise ratio SNR avg , construct the signal-to-noise ratio fluctuation algorithm formula, and calculate the signal-to-noise ratio variance SNR var , to measure the fluctuation of signal-to-noise ratio; The signal-to-noise ratio variance SNR var Obtained through the following algorithm formula; ； In the formula, SNR i Represents the signal-to-noise ratio of the i-th sampling, SNR avg represents the average value of the signal-to-noise ratio, and N3 represents the total number of signal-to-noise ratio SNR sampling.

8. A 5G communication engineering communication status intelligent detection system according to claim 6, Features: The comprehensive index calculation unit is used to obtain the signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg and jitter coefficient J, and then perform dimensionless processing and associated calculation to obtain the comprehensive evaluation index Q; The comprehensive evaluation index Q is obtained by the following algorithm formula; ； Where a1, a2, a3 and a4 represent the signal strength fluctuation coefficient S var , signal-to-noise ratio variance SNR var , average delay D avg and the preset weight value of the jitter coefficient J, and a1+a2+a3+a4=1, and its specific value is set by the user.

9. A 5G communication engineering communication status intelligent detection system according to claim 8, Features: The comprehensive evaluation unit is used to preset a comprehensive evaluation threshold F2 and the obtained comprehensive evaluation index Q, perform a secondary comparative evaluation, and comprehensively and systematically evaluate the performance and stability of the 5G communication network. The specific evaluation scheme is as follows; When the comprehensive evaluation index Q ≥ the comprehensive evaluation threshold F2, it means that the network status is normal, and the delay D and jitter are real fluctuations; When the comprehensive evaluation index Q is less than the comprehensive evaluation threshold F2, it indicates that the network status is abnormal. At this time, it is necessary to adjust the base station power, change the frequency allocation and optimize the network resources to improve the network performance and user experience.

10. A method for intelligent control of a robotic arm based on visual positioning, comprising a 5G communication engineering communication status intelligent detection system as described in any one of claims 1 to 9 above, Features: The following steps are involved: S1. First, receive and send communication signals through 5G base stations, deploy sensors and monitoring equipment, collect communication data in real time, and then summarize and obtain communication data sets to store in the database; S2. Use filters and smoothing algorithms to remove outliers, missing data, and noise data, unify the data to the same dimension and range, and perform feature extraction on the communication data set to obtain the average delay D. avg , average signal strength S avg and the average signal-to-noise ratio SNR avg ; S3, calculating the signal jitter coefficient J according to the delay D, and comparing and evaluating the signal jitter coefficient J with the preset jitter threshold F1; S4. When the signal jitter is abnormal, further calculation is required to obtain the signal strength fluctuation coefficient S var SNR var , and then the average delay D avg Correlate with the signal jitter coefficient J to obtain the comprehensive evaluation index Q; S5. Finally, the comprehensive evaluation index Q is compared with the preset comprehensive evaluation threshold F2 to comprehensively evaluate the performance and stability of the 5G communication network, and optimization measures are implemented based on the evaluation results.

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