Network communication quality evaluation system and method based on big data analysis

Abstract

The invention relates to the technical field of network communication, and discloses a network communication quality evaluation system and method based on big data analysis, and the system comprises a network communication signal collection module, a network communication environment perception module, a modulation signal input analysis module, a communication channel quality evaluation module, and a network communication central control module. A network communication signal is detected through a signal detector, when the network communication signal is detected, the network communication signal is automatically captured, communication environment sensing is carried out, real-time switching of communication channels is completed, and a communication modulation signal is generated according to a network communication environment sensing result; the power spectrum density maps of the network communication signal and the network communication modulation signal in each communication channel are respectively obtained, linear analysis is performed to obtain the evaluation result of the communication channel, and the early warning information is sent to the control terminal according to the evaluation result, so that the management and maintenance efficiency of the network communication quality is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of network communication technology, and more specifically to a network communication quality assessment system and method based on big data analysis. Background Technology

[0002] With the rapid development of internet technology, network communication has become deeply integrated into all aspects of social life, from social entertainment to industrial production. The demands for communication quality are constantly increasing. The explosive growth of smartphones and mobile applications has significantly raised users' requirements for network speed, stability, and coverage. For example, the demand for low latency and high bandwidth from real-time applications such as video streaming and online games has driven the refinement of network quality assessment. Traditional assessment methods, relying on manual sampling or simple threshold judgments, are insufficient to fully capture the dynamic changes and complex characteristics of the network.

[0003] In existing networks, network communication quality is affected by various factors, such as network congestion, signal interference, and equipment failure. These factors can lead to communication delays, packet loss, or signal quality degradation, thus impacting user experience. The rise of big data technology has brought new opportunities for network communication quality assessment. By collecting, storing, and deeply analyzing massive amounts of network data, it is possible to uncover potential patterns and anomalies in network operation. Building a network communication quality assessment system based on big data analytics can achieve real-time and accurate assessment of communication quality, providing strong support for network optimization and service quality improvement.

[0004] However, existing network communication quality assessment methods are ill-suited to complex and ever-changing network environments. In particular, when faced with large-scale network communication data, existing technologies often fall short and are unable to accurately and in real time assess communication quality. Furthermore, existing assessment systems are slow to react to sudden events such as network congestion and signal interference, making it difficult to issue timely warnings and resulting in a compromised user experience. Summary of the Invention

[0005] To overcome the aforementioned deficiencies in the prior art, this invention provides a network communication quality assessment system based on big data analysis to address the problems existing in the background art.

[0006] This invention provides the following technical solution: a network communication quality assessment system based on big data analysis, comprising: a network communication signal acquisition module, a network communication environment perception module, a modulation signal input analysis module, a communication channel quality assessment module, and a network communication central control module; The network communication signal acquisition module includes a signal detection layer and a signal acquisition layer. It detects network communication signals using a signal detector and automatically captures network communication signals when they are detected. The network communication environment perception module includes an environment parameter acquisition layer and a communication channel switching layer. It performs communication environment perception on the network communication signals automatically captured by the network communication signal acquisition module and completes real-time switching of the communication channel. The modulation signal generation and analysis module generates a communication modulation signal based on the perception results of the network communication environment perception module, and obtains the power spectral density maps of the network communication signal and the network communication modulation signal in each communication channel respectively. The communication channel quality assessment module performs linear analysis on the power spectral density maps of network communication signals and network communication modulation signals in the communication channel, and obtains the assessment results of the communication channel based on the linear analysis results. The network communication central control module receives the evaluation results output by the communication channel quality evaluation module and sends early warning information to the control terminal based on the evaluation results.

[0007] Preferably, the network communication signal acquisition module includes a signal detection layer and a signal acquisition layer, the specific contents of which are as follows: The signal detection layer uses a signal detector to detect signals in the network communication environment. When a network communication signal is detected, the signal detection layer triggers the signal acquisition layer to work; when no network communication signal is detected, the signal detection layer does not trigger the signal acquisition layer to work. The signal acquisition layer uses a network protocol analyzer to capture the network communication signals detected by the signal detection layer, preprocesses the captured network communication signals, and transmits the preprocessed network communication signals to the network communication environment perception module.

[0008] Preferably, the network communication environment perception module includes an environment parameter acquisition layer and a communication channel switching layer, the specific contents of which are as follows: The environmental parameter acquisition layer: performs communication environment perception on the network communication signals automatically captured by the network communication signal acquisition module, and obtains the current network communication signal environment perception result; The communication channel switching layer compares the current network communication signal environment perception result with a preset communication channel switching threshold, which represents the communication channel capacity threshold. When the current network communication signal environment perception result does not exceed the preset communication channel switching threshold, the original communication channel remains unchanged. When the current network communication signal environment perception result exceeds the preset communication channel switching threshold, a communication channel switching command is issued to complete the real-time switching of the communication channel.

[0009] Preferably, the environmental parameter acquisition layer performs communication environment perception on the network communication signals automatically captured by the network communication signal acquisition module, and the specific content of the current network communication signal environment perception result is as follows: Use a packet capture tool to analyze n data packets in the current network communication signal, and perform protocol analysis on each data packet; Extract key information from each data packet, including signal strength, transmission delay, and packet loss rate, and transmit the information to the modulation signal input analysis module; Extract the capacity of each data packet, where the capacity of each data packet includes: application layer data length, header length, and trailer length; Capacity extraction is performed on n data packets, and the total capacity of the n data packets in the current network communication signal is calculated based on the summation. The total capacity of the n data packets in the current network communication signal represents the environmental perception result of the current network communication signal.

[0010] Preferably, the specific contents of the modulation signal input analysis module are as follows: Receive key information from each data packet, including signal strength, transmission delay and packet loss rate, normalize the key information in each data packet, and map the key information to the interval [0, 1]; The signal strength in each data packet is averaged and mapped to a preset modulation rule, and the modulation order of the modulated signal is generated according to the preset modulation rule. The average transmission delay of each data packet is analyzed based on the transmission delay of each data packet, and the difference between the maximum allowable delay and the average transmission delay of the data packets is used to generate the modulation time period of the modulation signal. The number of error correction code redundancy blocks is increased based on the packet loss rate of each data packet. The packet loss rate of each data packet represents the ratio of the number of lost sub-data packets in each data packet to the total number of sub-data packets in each data packet. The number of error correction code redundancy blocks represents the product of the total number of data packets in the network communication signal and the average packet loss rate. A network communication modulation signal is generated, which consists of a modulation order, a modulation time period, and a number of error correction code redundancy blocks. The modulation order, modulation time period, and number of error correction code redundancy blocks generated from the network communication signal are input into a preset communication modulation signal template to generate the network communication modulation signal. Based on the network communication signals captured and the network communication modulation signals generated in each communication channel, the power spectral density maps of the network communication signals and the network communication modulation signals are obtained by combining a spectrum analyzer. The horizontal axis of the power spectral density map represents the signal number of the captured network communication signal and the generated network communication modulation signal, and the vertical axis of the power spectral density map represents the power spectral density value of the captured network communication signal and the generated network communication modulation signal.

[0011] Preferably, the specific content of the communication channel quality assessment module is as follows: By constraining the time window T, a linear analysis is performed on the power spectral density maps of each network communication signal and network communication modulation signal within the time window T in the communication channel. A linear similarity analysis is performed on the power spectral density value coordinates of each network communication signal and the corresponding generated network communication modulation signal. The similarity between the network communication signal and the corresponding generated network communication modulation signal within the time window T is averaged to obtain the degree of deviation between the network communication signal and the network communication modulation signal within the time window T. When the deviation between the network communication signal and the network communication modulation signal within the time window T is greater than or equal to the preset judgment threshold, the evaluation result of the communication channel quality is that the communication channel is unstable; conversely, when the deviation between the network communication signal and the network communication modulation signal within the time window T is less than the preset judgment threshold, the evaluation result of the communication channel quality is that the communication channel is stable.

[0012] Preferably, the specific contents of the network communication central control module are as follows: The system receives the evaluation results from the communication channel quality assessment module. When the evaluation result indicates that the communication channel is unstable, it sends an early warning message to the control terminal and displays the currently evaluated communication channel. When the evaluation result indicates that the communication channel is stable, it does not send an early warning message to the control terminal and continues to monitor the quality of the network communication signal.

[0013] A network communication quality assessment method based on big data analysis includes the following steps: Step S01: Detect network communication signals using a signal detector, and automatically capture network communication signals when they are detected; Step S02: Perform communication environment perception on the network communication signals automatically captured by the network communication signal acquisition module, and complete the real-time switching of the communication channel; Step S03: Generate a communication modulation signal based on the network communication environment perception results, and obtain the power spectral density maps of the network communication signal and the network communication modulation signal in each communication channel respectively; Step S04: Perform linear analysis on the power spectral density maps of the network communication signal and the network communication modulation signal in the communication channel, and obtain the evaluation results of the communication channel based on the linear analysis results; Step S05: Receive the evaluation results and send early warning information to the control terminal based on the evaluation results.

[0014] The technical effects and advantages of this invention are as follows: This invention uses a signal detector to detect network communication signals. When a network communication signal is detected, it automatically captures the signal and performs real-time switching of the communication channel based on the communication environment. This lays the foundation for evaluating network communication signals and further improves the stability and reliability of network communication through real-time switching of the communication channel. The communication modulation signal generated based on the network communication environment perception results can simulate the real network communication environment and provide a more accurate reference benchmark for subsequent quality assessment. During the assessment process, by comparing the power spectral density diagrams of the network communication signal and the network communication modulation signal, the quality status of the communication channel can be reflected intuitively. The application of linear similarity analysis makes the evaluation results more accurate and reliable. The introduction of a central control module enables intelligent processing of the evaluation results. When communication channel instability is detected, it can quickly issue early warning information to remind relevant personnel to take timely measures to avoid network communication failures. At the same time, it can also continuously monitor stable communication channels to ensure that the quality of network communication signals is always maintained at a high level. Through intelligent early warning and processing mechanisms, it provides strong support for the stable operation of network communication. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of a network communication quality assessment system based on big data analysis.

[0016] Figure 2 This is a flowchart illustrating a network communication quality assessment method based on big data analysis. Detailed Implementation

[0017] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. In addition, the forms of the various structures described in the following embodiments are merely illustrative. The network communication quality assessment system and method based on big data analysis involved in the present invention are not limited to the structures described in the following embodiments. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] like Figure 1 As shown, the present invention provides a network communication quality assessment system based on big data analysis, including: a network communication signal acquisition module, a network communication environment perception module, a modulation signal input analysis module, a communication channel quality assessment module, and a network communication central control module; The network communication signal acquisition module includes a signal detection layer and a signal acquisition layer. It detects network communication signals using a signal detector and automatically captures network communication signals when they are detected. The network communication environment perception module includes an environment parameter acquisition layer and a communication channel switching layer. It performs communication environment perception on the network communication signals automatically captured by the network communication signal acquisition module and completes real-time switching of the communication channel. The modulation signal generation and analysis module generates a communication modulation signal based on the perception results of the network communication environment perception module, and obtains the power spectral density maps of the network communication signal and the network communication modulation signal in each communication channel respectively. The communication channel quality assessment module performs linear analysis on the power spectral density maps of network communication signals and network communication modulation signals in the communication channel, and obtains the assessment results of the communication channel based on the linear analysis results. The network communication central control module receives the evaluation results output by the communication channel quality evaluation module and sends early warning information to the control terminal based on the evaluation results.

[0019] In this embodiment, it should be specifically explained that the network communication signal acquisition module includes a signal detection layer and a signal acquisition layer, the specific contents of which are as follows: The signal detection layer uses a signal detector to detect signals in the network communication environment. When a network communication signal is detected, the signal detection layer triggers the signal acquisition layer to work; when no network communication signal is detected, the signal detection layer does not trigger the signal acquisition layer to work. The signal acquisition layer uses a network protocol analyzer to capture the network communication signals detected by the signal detection layer, preprocesses the captured network communication signals, and transmits the preprocessed network communication signals to the network communication environment perception module. The preprocessing includes denoising, amplifying, and filtering the captured network communication signals to improve signal quality and accuracy, and ensure the reliability of subsequent analysis.

[0020] In this embodiment, it should be specifically explained that the network communication environment perception module includes an environment parameter acquisition layer and a communication channel switching layer, the specific contents of which are as follows: The environmental parameter acquisition layer: performs communication environment perception on the network communication signals automatically captured by the network communication signal acquisition module, and obtains the current network communication signal environment perception result; The communication channel switching layer compares the current network communication signal environment perception result with a preset communication channel switching threshold, which represents the communication channel capacity threshold. When the current network communication signal environment perception result does not exceed the preset communication channel switching threshold, the original communication channel remains unchanged. When the current network communication signal environment perception result exceeds the preset communication channel switching threshold, a communication channel switching command is issued to complete the real-time switching of the communication channel. The communication channel switching layer includes two communication channels. The first layer represents the automatically matched priority communication channel, which is used by default when the network communication environment is perceived to be normal. The second layer represents the backup communication channel. When the communication quality is affected by insufficient capacity or excessive congestion of the first layer communication channel, the system automatically switches to the second layer communication channel to ensure the stability and continuity of network communication.

[0021] In this embodiment, it should be specifically noted that the environmental parameter acquisition layer performs communication environment perception on the network communication signals automatically captured by the network communication signal acquisition module, and the specific content of the current network communication signal environment perception result is as follows: Use a packet capture tool to analyze n data packets in the current network communication signal, and perform protocol analysis on each data packet; Extract key information from each data packet, including signal strength, transmission delay, and packet loss rate, and transmit the information to the modulation signal input analysis module; Extract the capacity of each data packet, where the capacity of each data packet includes: application layer data length, header length, and trailer length; Capacity extraction is performed on n data packets, and the total capacity of the n data packets in the current network communication signal is calculated based on the summation. The total capacity of the n data packets in the current network communication signal represents the environmental perception result of the current network communication signal.

[0022] In this embodiment, it should be specifically explained that the specific contents of the modulation signal input analysis module are as follows: Receive key information from each data packet, including signal strength, transmission delay and packet loss rate, normalize the key information in each data packet, and map the key information to the interval [0, 1]; The signal strength in each data packet is averaged and mapped to a preset modulation rule. The modulation order of the modulated signal is generated according to the preset modulation rule. The preset modulation rule includes different modulation orders and the numerical range corresponding to different modulation orders. The average signal strength is mapped to the preset numerical range to determine the modulation order of the modulated signal. The average transmission delay of each data packet is analyzed based on the transmission delay of each data packet, and the difference between the maximum allowable delay and the average transmission delay of the data packets is used to generate the modulation time period of the modulation signal. The number of error correction code redundancy blocks is increased based on the packet loss rate of each data packet. The packet loss rate of each data packet represents the ratio of the number of lost sub-data packets in each data packet to the total number of sub-data packets in each data packet. The number of error correction code redundancy blocks represents the product of the total number of data packets in the network communication signal and the average packet loss rate. A network communication modulation signal is generated. The network communication modulation signal consists of a modulation order, a modulation time period, and a number of error correction code redundancy blocks. The modulation order, modulation time period, and number of error correction code redundancy blocks generated from the network communication signal are input into a preset communication modulation signal template to generate the network communication modulation signal. The network communication modulation signal is an analog signal generated based on an ideal modulation condition. It is not used to modulate the network communication signal, but only to obtain the difference between the network communication modulation signal and the network communication signal based on the comparison of the communication modulation signal under the ideal condition, so as to evaluate the quality of the communication channel. Based on the network communication signals captured and the network communication modulation signals generated in each communication channel, the power spectral density maps of the network communication signals and the network communication modulation signals are obtained by combining a spectrum analyzer. The horizontal axis of the power spectral density map represents the signal number of the captured network communication signal and the generated network communication modulation signal, and the vertical axis of the power spectral density map represents the power spectral density value of the captured network communication signal and the generated network communication modulation signal.

[0023] In this embodiment, it should be specifically explained that the specific content of the communication channel quality assessment module is as follows: By constraining the time window T, a linear analysis is performed on the power spectral density maps of each network communication signal and network communication modulation signal within the time window T in the communication channel. A linear similarity analysis is performed on the power spectral density value coordinates of each network communication signal and the corresponding generated network communication modulation signal. The linear similarity analysis means calculating the similarity of the power spectral density value coordinates of each network communication signal and the corresponding generated network communication modulation signal within the time window T. The mean value of the similarity between the network communication signal and the corresponding generated network communication modulation signal within the time window T is then processed to obtain the degree of deviation between the network communication signal and the network communication modulation signal within the time window T. When the deviation between the network communication signal and the network communication modulation signal within the time window T is greater than or equal to the preset judgment threshold, the evaluation result of the communication channel quality is that the communication channel is unstable; conversely, when the deviation between the network communication signal and the network communication modulation signal within the time window T is less than the preset judgment threshold, the evaluation result of the communication channel quality is that the communication channel is stable.

[0024] In this embodiment, it should be specifically explained that the specific contents of the network communication central control module are as follows: The system receives the evaluation results from the communication channel quality assessment module. When the evaluation result indicates that the communication channel is unstable, it sends an early warning message to the control terminal and displays the currently evaluated communication channel. When the evaluation result indicates that the communication channel is stable, it does not send an early warning message to the control terminal and continues to monitor the quality of the network communication signal.

[0025] like Figure 2 As shown in this embodiment, it should be specifically explained that a network communication quality assessment method based on big data analysis includes the following steps: Step S01: Detect network communication signals using a signal detector, and automatically capture network communication signals when they are detected; Step S02: Perform communication environment perception on the network communication signals automatically captured by the network communication signal acquisition module, and complete the real-time switching of the communication channel; Step S03: Generate a communication modulation signal based on the network communication environment perception results, and obtain the power spectral density maps of the network communication signal and the network communication modulation signal in each communication channel respectively; Step S04: Perform linear analysis on the power spectral density maps of the network communication signal and the network communication modulation signal in the communication channel, and obtain the evaluation results of the communication channel based on the linear analysis results; Step S05: Receive the evaluation results and send early warning information to the control terminal based on the evaluation results.

[0026] In this embodiment, it should be specifically noted that the main difference between this embodiment and the prior art is that this embodiment detects network communication signals using a signal detector. When a network communication signal is detected, it is automatically captured and the communication environment is perceived to complete the real-time switching of the communication channel, laying the foundation for the evaluation of network communication signals. Furthermore, the stability and reliability of network communication are further improved through the real-time switching of the communication channel. The communication modulation signal generated based on the network communication environment perception results can simulate the real network communication environment and provide a more accurate reference benchmark for subsequent quality assessment. During the assessment process, by comparing the power spectral density diagrams of the network communication signal and the network communication modulation signal, the quality status of the communication channel can be reflected intuitively. The application of linear similarity analysis makes the evaluation results more accurate and reliable. The introduction of a central control module enables intelligent processing of the evaluation results. When communication channel instability is detected, it can quickly issue early warning information to remind relevant personnel to take timely measures to avoid network communication failures. At the same time, it can also continuously monitor stable communication channels to ensure that the quality of network communication signals is always maintained at a high level. Through intelligent early warning and processing mechanisms, it provides strong support for the stable operation of network communication.

[0027] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0028] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A network communication quality evaluation system based on big data analysis, characterized in that: The application relates to a network communication signal acquisition module, a network communication environment sensing module, a modulation signal input analysis module, a communication channel quality evaluation module and a network communication central control module. The network communication signal acquisition module comprises a signal detection layer and a signal acquisition layer, and network communication signals are detected through a signal detector; when the network communication signals are detected, the network communication signals are automatically captured. The network communication environment sensing module comprises an environment parameter acquisition layer and a communication channel switching layer, and the network communication signals automatically captured by the network communication signal acquisition module are subjected to communication environment sensing to complete real-time switching of the communication channel. The modulation signal generation analysis module generates communication modulation signals according to the sensing results of the network communication environment sensing module, and respectively acquires the power spectrum density diagrams of the network communication signals and the network communication modulation signals in each communication channel. The communication channel quality evaluation module linearly analyzes the power spectrum density diagrams of the network communication signals and the network communication modulation signals in the communication channel, and acquires the evaluation results of the communication channel according to the linear analysis results. The network communication central control module receives the evaluation results output by the communication channel quality evaluation module, and sends early warning information to a control terminal according to the evaluation results. The network communication signal acquisition module comprises a signal detection layer and a signal acquisition layer, and network communication signals are detected through a signal detector; when the network communication signals are detected, the network communication signals are automatically captured.

2. The network communication quality evaluation system based on big data analysis according to claim 1, characterized in that: The network communication environment sensing module comprises an environment parameter acquisition layer and a communication channel switching layer, and the network communication signals automatically captured by the network communication signal acquisition module are subjected to communication environment sensing to complete real-time switching of the communication channel. The network communication environment sensing module comprises an environment parameter acquisition layer and a communication channel switching layer, and the network communication signals automatically captured by the network communication signal acquisition module are subjected to communication environment sensing to complete real-time switching of the communication channel. The environment parameter acquisition layer senses the communication environment of the network communication signals automatically captured by the network communication signal acquisition module to acquire the current network communication signal environment sensing result.

3. The network communication quality evaluation system based on big data analysis according to claim 1, characterized in that: The communication channel switching layer compares the current network communication signal environment sensing result with a preset communication channel switching threshold value, the communication channel switching threshold value represents a communication channel capacity threshold value, when the current network communication signal environment sensing result does not exceed the preset communication channel switching threshold value, the original communication channel is maintained, when the current network communication signal environment sensing result exceeds the preset communication channel switching threshold value, a communication channel switching instruction is sent to complete real-time switching of the communication channel. The environment parameter acquisition layer senses the communication environment of the network communication signals automatically captured by the network communication signal acquisition module to acquire the current network communication signal environment sensing result. The data packets in the current network communication signals are analyzed through a packet capturing tool, and the protocol of each data packet is analyzed.

4. The network communication quality evaluation system based on big data analysis according to claim 3, characterized in that: ​ ​ Extract the key information in each data packet, including signal strength, transmission delay and packet loss rate, and transmit the information to the modulation signal input analysis module; Extract the capacity of each data packet, wherein the capacity of each data packet includes: application layer data length, header length and tail length; Capacity extraction is performed on n data packets, and the total capacity of n data packets in the current network communication signal is calculated based on summation, which represents the current network communication signal environment perception result.

5. The network communication quality evaluation system based on big data analysis according to claim 1, characterized in that: The specific content of the modulation signal input analysis module is as follows: Receive the key information in each data packet, including signal strength, transmission delay and packet loss rate, and normalize the key information in each data packet, and map the key information to the [0, 1] interval; The signal strength in each data packet is processed by mean value, and is mapped to a preset modulation rule to generate the modulation order of the modulation signal; According to the transmission delay of each data packet, the average data packet transmission delay is analyzed, and the difference between the maximum allowed delay and the average data packet transmission delay is used to generate the modulation time period of the modulation signal; According to the packet loss rate of each data packet, the number of error correction code redundancy blocks is increased, wherein the packet loss rate of each data packet represents the ratio of the number of lost sub-packets in each data packet to the total number of sub-packets in each data packet, and the number of error correction code redundancy blocks represents the product of the total number of data packets in the network communication signal and the average packet loss rate; Generate a network communication modulation signal, which is composed of modulation order, modulation time period and error correction code redundancy block number, and input the modulation order, modulation time period and error correction code redundancy block number generated from the network communication signal into a preset communication modulation signal template to generate a network communication modulation signal; According to the network communication signal captured in each communication channel and the generated network communication modulation signal, the power spectrum density graph of the network communication signal and the network communication modulation signal is obtained respectively by combining the spectrum analyzer, wherein the abscissa of the power spectrum density graph represents the signal number of the captured network communication signal and the generated network communication modulation signal, and the ordinate of the power spectrum density graph represents the power spectrum density value of the captured network communication signal and the generated network communication modulation signal.

6. The network communication quality evaluation system based on big data analysis according to claim 1, characterized in that: The specific content of the communication channel quality evaluation module is as follows: Through time window T constraint, linear analysis is performed on the power spectrum density graph of each network communication signal and network communication modulation signal in the communication channel within the time window T, linear similarity analysis is performed on the power spectrum density value coordinates of each network communication signal and the corresponding generated network communication modulation signal, the similarity of the network communication signal and the corresponding generated network communication modulation signal within the time window T is processed by mean value, and the deviation degree of the network communication signal and the network communication modulation signal within the time window T is obtained; When the deviation degree of the network communication signal and the network communication modulation signal within the time window T is greater than or equal to the preset judgment threshold, the evaluation result of the communication channel quality is that the communication channel is unstable; Conversely, when the deviation between the network communication signal and the network communication modulation signal within the time window T is less than the preset judgment threshold, the evaluation result of the communication channel quality is that the communication channel is stable.

7. The network communication quality evaluation system based on big data analysis according to claim 1, characterized in that: The specific content of the network communication central control module is as follows: The evaluation result of the communication channel quality is received, when the evaluation result of the communication channel quality is that the communication channel is unstable, a warning information is sent to the control terminal and the current evaluated communication channel is displayed, when the evaluation result of the communication channel quality is that the communication channel is stable, no warning information is sent to the control terminal, and the quality of the network communication signal is continuously monitored. 8.A method for network communication quality evaluation based on big data analysis, using the network communication quality evaluation system based on big data analysis according to any one of claims 1-7. The method comprises the following steps: Step S01: detecting the network communication signal by the signal detector, and automatically capturing the network communication signal when the network communication signal is detected; Step S02: sensing the communication environment of the network communication signal automatically captured in the network communication signal acquisition module, and completing the real-time switching of the communication channel; Step S03: generating the communication modulation signal according to the network communication environment sensing result, and respectively acquiring the power spectrum density diagram of the network communication signal and the network communication modulation signal in each communication channel; Step S04: linearly analyzing the power spectrum density diagram of the network communication signal and the network communication modulation signal in the communication channel, and acquiring the evaluation result of the communication channel according to the linear analysis result; Step S05: receiving the evaluation result, and sending the warning information to the control terminal according to the evaluation result.

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