5G-based redcap protocol module wireless network signal conversion method and system

Abstract

The present invention relates to the field of wireless communication technology, specifically to a 5G-based redcap protocol module wireless network signal conversion method and system, comprising the following steps: collecting original 5G signal data, performing spectrum distribution analysis on the original 5G signal data, identifying and recording the noise baseline in the signal, removing signal components beyond a predetermined frequency range, and obtaining denoised signal data. In the present invention, by using Fourier transform to optimize frequency domain characteristics and bandwidth response, the overall stability and transmission quality of the signal are enhanced. The application of sliding window technology enables the signal to remain stable even when it is incoherent, effectively responding to transmission challenges in high-mobility environments. By adjusting the antenna's transmission angle and power, the signal's spatial propagation path is optimized, ensuring the breadth and uniformity of signal coverage, improving signal transmission efficiency, and improving the network's adaptability and device access performance, especially in environments with uneven network coverage and device diversity.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technologies, and in particular to a method and system for converting wireless network signals using a 5G-based RedCap protocol module. Background Art

[0002] The field of wireless communications involves the use of electromagnetic waves to transmit signals, transferring data and information across space without the need for physical connections. This field encompasses various wireless transmission technologies, such as satellite communications, wireless local area networks, and cellular mobile communications. With technological advancements, wireless communications have evolved from 2G, 3G, and 4G to 5G. 5G technology supports higher data rates, lower latency, and a wider range of connectivity, significantly facilitating the development of the Internet of Things, smart devices, and various modern communications needs. 5G communications not only play a significant role in improving transmission efficiency and quality, but also open up new application scenarios in healthcare, manufacturing, autonomous driving, and other fields.

[0003] The 5G RedCap protocol module wireless network signal conversion method uses specific technologies to convert signals from Reduced Capability (RedCap) devices in the 5G communication standard into a signal format suitable for different network conditions. RedCap is a communication protocol designed specifically to support IoT devices, allowing lower-cost devices to operate efficiently on 5G networks, but with lower data rates and transmission requirements. This topic studies how to optimize device signal processing for more reliable communication in various network environments. This signal conversion method is primarily used to improve network access performance for IoT devices and enhance data transmission stability and efficiency, particularly in environments with uneven network coverage or high device mobility.

[0004] Existing technologies have limitations in handling signal stability and frequency domain characteristic adjustments in highly dynamic environments. These technologies rely on relatively fixed network settings and signal processing modes, making them difficult to adapt to rapidly changing network conditions and complex interference factors. For example, in urban fringe areas or rural areas, uneven signal coverage leads to data transmission interruptions and reduced communication quality, impacting the reliability of IoT devices and mobile communications. Furthermore, existing technologies fail to optimize spectrum resource utilization and accurately remove signal components, resulting in wasted resources or signal interference, further degrading overall network performance and user experience. Summary of the Invention

[0005] In order to solve the limitations of the existing technology in processing signal stability and frequency domain characteristic adjustment in highly dynamic environments, this technology relies on relatively fixed network settings and signal processing modes, and is difficult to adapt to rapidly changing network conditions and complex interference factors. For example, in urban areas or rural areas, uneven signal coverage leads to data transmission interruptions and reduced communication quality, affecting the reliability of IoT devices and mobile communications. In addition, the existing technology fails to optimize the utilization of spectrum resources and the precise removal of signal components, resulting in waste of resources or signal interference, further reducing the overall performance of the network and user experience. The embodiment of the present invention provides a wireless network signal conversion method and system based on the 5G redcap protocol module. The technical solution is as follows:

[0006] On the one hand, a method for converting wireless network signals based on a 5G redcap protocol module is provided, the method comprising:

[0007] S1: Collects raw 5G signal data, performs spectrum distribution analysis on the raw 5G signal data, identifies and records the noise baseline in the signal, removes signal components outside the predetermined frequency range, and restores the signal's essential properties to obtain denoised signal data.

[0008] S2: Using the denoised signal data, applying Fourier transform to analyze the frequency domain characteristics of the wireless network signal of the redcap protocol module, adjusting the signal spectrum, optimizing the bandwidth and frequency response of the wireless network signal of the redcap protocol module, and obtaining an optimized frequency domain characteristic data set;

[0009] S3: Using the optimized frequency domain characteristic data set, the temporal stability of the wireless network signal of the Redcap protocol module is analyzed through the sliding window technology, the incoherent characteristics of the signal are smoothed, the sliding window size is dynamically adjusted, and the temporal stability evaluation result is obtained;

[0010] S4: Based on the temporal stability evaluation result, according to the propagation direction and strength of the wireless network signal of the redcap protocol module, adjusting the transmission angle and power of the antenna, analyzing the spatial propagation path of the signal, and obtaining an optimized spatial signal;

[0011] S5: Using the optimized spatial signal, design and implement an inter-layer coordination mechanism, adjust multi-layer parameters to achieve optimal signal transmission efficiency, match changes in network conditions, perform signal conversion for differentiated devices and network configurations, and obtain wireless network signal conversion results.

[0012] As a further solution of the present invention, the denoised signal data includes the amplitude spectrum, phase spectrum, and frequency composition that have been filtered; the optimized frequency domain characteristic data set includes the reconfigured bandwidth, center frequency, and harmonic distortion level; the time stability evaluation result includes the signal duration, stability score, and time offset; the optimized spatial signal includes the signal's spatial coverage range, directional gain, and propagation delay; and the wireless network signal conversion result includes the signal's adaptability evaluation, conversion efficiency, and configuration adjustment results.

[0013] As a further solution of the present invention, the steps of collecting original 5G signal data, performing spectrum distribution analysis on the original 5G signal data, identifying and recording the noise baseline in the signal, removing signal components outside a predetermined frequency range, and restoring the essential properties of the signal to obtain the denoised signal data are specifically as follows:

[0014] S101: Collect raw 5G signal data, scan the signal frequency using a spectrum analyzer, record the energy value of each frequency point by point, identify the peaks and valleys in the signal, and obtain the spectrum range identification result;

[0015] S102: Based on the spectrum range identification result, mark frequency points outside the normal communication range as noise baselines, perform energy filtering on the marked points, retain data within the wireless network communication frequency band of the redcap protocol module, and obtain noise separation data;

[0016] S103: Using the noise separation data, applying a bandpass filter, retaining the signal within a predetermined frequency range, adjusting the energy standard of the retained signal to a set level, avoiding the influence of noise, restoring the essential characteristics of the signal, and obtaining denoised signal data.

[0017] As a further solution of the present invention, the denoised signal data is used to apply Fourier transform to analyze the frequency domain characteristics of the redcap protocol module wireless network signal, adjust the signal spectrum, optimize the redcap protocol module wireless network signal bandwidth and frequency response, and obtain the optimized frequency domain characteristic data set. Specifically, the steps are as follows:

[0018] S201: Using the denoised signal data, converting the signal from the time domain to the frequency domain through a fast Fourier transform algorithm, calculating the energy value of each frequency point in the frequency domain, analyzing the energy distribution of each frequency point, and generating a frequency domain characteristic analysis result;

[0019] S202: Based on the frequency domain characteristic analysis results, adjust the energy value of the target frequency point, optimize the bandwidth and frequency response of the signal according to the communication characteristics of the redcap protocol module, including modifying the amplitude and phase of the spectrum portion, verifying that the signal matches the optimal transmission efficiency of the redcap protocol, and obtaining spectrum adjustment data;

[0020] S203: Evaluate the improvement effect and impact of the bandwidth and frequency response through the spectrum adjustment data, verify the rationality of the spectrum adjustment, and obtain an optimized frequency domain characteristic data set.

[0021] As a further solution of the present invention, the formula for calculating the energy value of each frequency point in the frequency domain is:

[0022] ;

[0023] in, is the energy distribution value of the differentiated frequency, represents the number of signal samples, Representative The complex magnitude of the frequency domain samples, represent The model, Representatives of the The Hanning window function value applied to the samples.

[0024] As a further solution of the present invention, the optimized frequency domain characteristic data set is used to analyze the time stability of the wireless network signal of the Redcap protocol module through the sliding window technology, smoothing the incoherent characteristics of the signal, and dynamically adjusting the sliding window size to obtain the time stability evaluation result. Specifically, the steps are as follows:

[0025] S301: Using the optimized frequency domain characteristic data set, applying the sliding window technology, performing time series analysis on the wireless network signal of the redcap protocol module, continuously collecting the frequency domain characteristics of the signal at different time points by adjusting the window size, identifying the changes and fluctuations of the signal on the time axis, and obtaining time series analysis data;

[0026] S302: Smoothing the wireless network signal of the redcap protocol module through the time series analysis data to avoid signal discontinuity and jumps, dynamically adjusting the size and overlap rate of the sliding window, and obtaining a signal smoothing record;

[0027] S303: Using the signal smoothing processing record, verify the consistency and stability of the processed signal in multiple windows, calculate the coefficient of variation and stability index of the signal in the differentiated time window, and obtain a time stability evaluation result.

[0028] As a further solution of the present invention, based on the temporal stability evaluation result, according to the propagation direction and strength of the wireless network signal of the Redcap protocol module, the transmission angle and power of the antenna are adjusted, and the spatial propagation path of the signal is analyzed to obtain the optimized spatial signal. Specifically, the steps are as follows:

[0029] S401: Using the time stability evaluation result, analyze the strength and changes of the wireless network signal of the redcap protocol module in different propagation directions, adjust the antenna transmission angle to match the optimal propagation path of the signal, optimize the coverage range and strength distribution of the signal, and obtain antenna angle adjustment data;

[0030] S402: Based on the antenna angle adjustment data, adjust the antenna transmission power according to the propagation distance of the wireless network signal of the redcap protocol module and the intensity requirement of the target area, verify the propagation efficiency and reception quality of the signal, and obtain a power adjustment record;

[0031] S403: Analyze the propagation path and coverage effect of the wireless network signal of the redcap protocol module in space using the power adjustment record, analyze whether the adjusted antenna setting achieves the expected effect through field testing and signal propagation simulation, and obtain the optimized spatial signal.

[0032] As a further solution of the present invention, the steps of designing and implementing an inter-layer coordination mechanism using the optimized spatial signal, adjusting multi-layer parameters to achieve optimal signal transmission efficiency, matching changes in network conditions, and performing signal conversion for differentiated devices and network configurations to obtain wireless network signal conversion results are specifically as follows:

[0033] S501: Using the optimized spatial signal, designing an inter-layer coordination mechanism, adjusting parameters of the signal processing layer, including coding and modulation techniques, to match interface and communication requirements between differentiated network layers, and obtaining multi-layer coordination adjustment data;

[0034] S502: Based on the multi-layer coordination adjustment data, perform real-time analysis on dynamic changes in wireless network conditions, including channel interference and network congestion, adjust signal conversion parameters, calculate new signal transmission efficiency, and obtain an optimized signal transmission efficiency value;

[0035] S503: Using the optimized signal transmission efficiency value, perform targeted signal conversion for differentiated devices and network configurations, adjust signal power output and spectrum allocation according to differentiated requirements of device receiving capabilities and network configurations, and obtain wireless network signal conversion results.

[0036] As a further solution of the present invention, the formula for calculating the new signal transmission efficiency is:

[0037] ;

[0038] in, Represents the optimized signal transmission efficiency value, represents the old signal transmission efficiency value, To find the absolute value of a function, represents the adjustment factor, represents the interference adjustment coefficient, Represents the interference index of the real-time channel, represents the basic adjustment coefficient, Represents the network congestion index.

[0039] On the other hand, an electric vehicle state monitoring system is provided, wherein the electric vehicle state monitoring system is used to execute the above electric vehicle state monitoring method, and the system comprises:

[0040] The spectrum analysis module collects raw 5G signal data, performs fine-grained analysis of the signal spectrum, identifies the noise baseline in the signal, and filters out signal components outside the frequency range to obtain denoised signal data.

[0041] The frequency domain characteristic optimization module uses Fourier transform based on the denoised signal data to adjust the signal spectrum, optimize the bandwidth and frequency response of the redcap protocol module, and obtain an optimized frequency domain data set;

[0042] The stability analysis module uses the optimized frequency domain data set and applies sliding window technology to analyze the temporal stability of the signal, smoothes the incoherent signal characteristics, and dynamically adjusts the window size to obtain a temporal stability evaluation result;

[0043] The signal adjustment module adjusts the transmission angle and power of the antenna based on the time stability evaluation result, analyzes the spatial propagation path of the wireless network signal of the redcap protocol module, and obtains the spatial signal optimization result;

[0044] The coordination mechanism design module uses the spatial signal optimization results to adjust multi-layer parameters, evaluate the transmission efficiency of the optimal signal, match the changes in network conditions, and establish inter-layer coordination results;

[0045] The signal processing module performs signal conversion based on the inter-layer coordination result, optimizes signal processing for differentiated devices and network configurations, and obtains a wireless network signal conversion result.

[0046] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0047] By collecting and analyzing raw 5G signal data, signal components outside the predetermined frequency range are removed, and the signal's essential properties are restored, improving the accuracy and efficiency of signal processing. Fourier transforms are used to optimize frequency domain characteristics and bandwidth response, enhancing overall signal stability and transmission quality. The application of sliding window technology ensures signal stability even in the presence of discontinuities, effectively addressing transmission challenges in high-mobility environments. By adjusting the antenna's transmission angle and power, the signal's spatial propagation path is optimized, ensuring broad and uniform signal coverage. This not only improves signal transmission efficiency but also significantly enhances network adaptability and device access performance, especially in environments with uneven network coverage and diverse devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0049] Figure 2 This is a detailed flow chart of S1 of the present invention;

[0050] Figure 3 This is a detailed flow chart of S2 of the present invention;

[0051] Figure 4 This is a detailed flow chart of S3 of the present invention;

[0052] Figure 5 This is a detailed flow chart of S4 of the present invention;

[0053] Figure 6 This is a detailed flow chart of S5 of the present invention;

[0054] Figure 7 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0055] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0056] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as an "exemplary" in the present invention should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner. Furthermore, in the embodiments of the present invention, "and / or" can mean both or either of the two.

[0057] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0058] See also Figure 1, an embodiment of the present invention provides a method for converting wireless network signals based on a 5G redcap protocol module, the processing flow of which may include the following steps:

[0059] S1: Collects raw 5G signal data, performs spectrum distribution analysis on the raw 5G signal data, identifies and records the noise baseline in the signal, performs high-pass and low-pass filtering to remove signal components outside the predetermined frequency range, and restores the signal's essential properties to obtain denoised signal data.

[0060] S2: Using the denoised signal data, apply Fourier transform to analyze the frequency domain characteristics of the wireless network signal of the redcap protocol module, adjust the signal spectrum, optimize the bandwidth and frequency response of the wireless network signal of the redcap protocol module, and obtain the optimized frequency domain characteristic data set;

[0061] S3: Using the optimized frequency domain characteristic dataset, the sliding window technique is used to analyze the temporal stability of the wireless network signal of the Redcap protocol module. The incoherent characteristics of the signal are smoothed and the temporal stability evaluation results are obtained by dynamically adjusting the sliding window size.

[0062] S4: Based on the time stability evaluation results and the propagation direction and strength of the wireless network signal of the Redcap protocol module, the antenna's transmission angle and power are adjusted, the spatial propagation path of the signal is analyzed, the signal coverage and reception quality are optimized, and the optimized spatial signal is obtained;

[0063] S5: Using the optimized spatial signal, design and implement an inter-layer coordination mechanism, adjust multi-layer parameters to achieve optimal signal transmission efficiency, match changes in network conditions, perform signal conversion for differentiated devices and network configurations, and obtain wireless network signal conversion results.

[0064] The denoised signal data includes the filtered amplitude spectrum, phase spectrum, and frequency composition; the optimized frequency domain characteristic data set includes the reconfigured bandwidth, center frequency, and harmonic distortion level; the time stability assessment results include signal duration, stability score, and time offset; the optimized spatial signal includes the signal's spatial coverage, directional gain, and propagation delay; and the wireless network signal conversion results include signal adaptability evaluation, conversion efficiency, and configuration adjustment results.

[0065] See also Figure 2 , collect the original 5G signal data, perform spectrum distribution analysis on the original 5G signal data, identify and record the noise baseline in the signal, remove the signal components outside the predetermined frequency range, and restore the essential properties of the signal. The specific steps for obtaining the denoised signal data are as follows:

[0066] S101: Collect raw 5G signal data, scan the signal frequency using a spectrum analyzer, record the energy value of each frequency point by point, identify the peaks and valleys in the signal, and obtain the spectrum range identification result. The execution process is as follows;

[0067] The use of a spectrum analyzer is not limited to scanning signal frequencies, but also includes recording the energy value of each frequency point point by point. This process involves complex data acquisition technology and precise frequency resolution to ensure the integrity and accuracy of signal data. The energy value of each frequency point is recorded through a specific algorithm and stored in a data storage system. The recorded data will be used for subsequent signal analysis and processing. By identifying the peaks and valleys in the signal, the signal characteristics and noise parts can be accurately distinguished. The key to this process lies in efficient signal processing algorithms and data analysis technologies, which enable valuable information to be extracted from complex signals and obtain spectrum range identification results.

[0068] S102: Based on the spectrum range identification result, mark the frequency points outside the normal communication range as the noise baseline, perform energy filtering on the marked points, retain the data within the wireless network communication frequency band of the redcap protocol module, and obtain the noise separation data. The execution process is as follows;

[0069] Frequency points outside the normal communication range are marked as noise baselines. The marking process involves complex signal recognition technology and precise division of frequency points to ensure that only frequency points unrelated to normal communication are marked. Energy filtering is performed on the marked points, and irrelevant data is deleted through a specific filtering algorithm to ensure the purity and validity of the data. This process involves advanced data processing technology, including data filtering, cleaning and storage, to retain data within the wireless network communication frequency band of the RedCap protocol module. The accurate execution of this process has a direct impact on the performance and signal quality of the communication system, and noise separation data is obtained.

[0070] S103: Using noise separation data, applying a bandpass filter, retaining the signal within a predetermined frequency range, adjusting the energy standard of the retained signal to a set level, avoiding the influence of noise, restoring the essential characteristics of the signal, and obtaining the denoised signal data. The execution process is as follows;

[0071] Apply a bandpass filter to retain the signal within a predetermined frequency range, according to the formula:

[0072] ;

[0073] Where, represents the gain of the bandpass filter, represents the frequency, represents the cutoff frequency, Represents the order of the filter;

[0074] The key to designing a bandpass filter is to select a suitable cutoff frequency. and the filter order , the parameters directly affect the signal retention and noise suppression effect. If you choose Hz and , then it can be calculated in The gain at Hz is calculated according to the formula:

[0075] ;

[0076] The results show that the high-frequency gain is close to 1, that is, the signal is almost completely passed and the noise is effectively suppressed. This design ensures the purity of the signal and the optimization of communication quality.

[0077] See also Figure 3 , using the denoised signal data, applying Fourier transform, analyzing the frequency domain characteristics of the redcap protocol module wireless network signal, adjusting the signal spectrum, optimizing the redcap protocol module wireless network signal bandwidth and frequency response, and obtaining the optimized frequency domain characteristic data set are as follows:

[0078] S201: Using the denoised signal data, converting the signal from the time domain to the frequency domain using a fast Fourier transform algorithm, calculating the energy value of each frequency point in the frequency domain, analyzing the energy distribution of each frequency point, and generating a frequency domain characteristic analysis result. The execution process is as follows;

[0079] The formula for calculating the energy value of each frequency point in the frequency domain is:

[0080] ;

[0081] in, is the energy distribution value of the differentiated frequency, represents the number of signal samples, Representative The complex magnitude of the frequency domain samples, represent The model, Representatives of the The Hanning window function value applied to the samples;

[0082] Parameter meaning and setting value:

[0083] is the number of signal samples, which is set to 1024. It represents the number of data points considered during the analysis and affects the resolution of the spectrum;

[0084] For the The modulus of the complex amplitude at each frequency point is monitored by the data obtained by Fast Fourier Transform (FFT), for example , ,until ;

[0085] is the window function value, Apply the Hanning window function to each point, for example , , and so on, the change of window function value is calculated according to the definition of Hanning window, the purpose of which is to reduce the endpoint effect;

[0086] Substitute the parameters into the formula for calculation:

[0087] set up , , , and so on, , , the calculation formula is:

[0088] =1053.143;

[0089] The results are shown in the frequency The energy values ​​below indicate that FFT analysis and window function processing can accurately evaluate the energy distribution of 5G signals at various frequency points, which has a direct impact on the overall quality and characteristics of the signal. The analysis results can be used for further signal optimization and problem diagnosis.

[0090] S202: Based on the frequency domain characteristic analysis results, adjust the energy value of the target frequency point, optimize the signal bandwidth and frequency response according to the communication characteristics of the redcap protocol module, including modifying the amplitude and phase of the spectrum part, and verify that the signal matches the optimal transmission efficiency of the redcap protocol. The execution process for obtaining spectrum adjustment data is as follows;

[0091] Optimizing the communication characteristics of the RedCap protocol module involves adjusting the signal's bandwidth and frequency response, and modifying the amplitude and phase of the spectrum. This adjustment ensures that the signal better matches the requirements of the RedCap protocol. The optimization involves complex signal processing techniques, including precise spectrum analysis and adjustment, as well as detailed modifications of amplitude and phase. These changes are intended to improve signal transmission efficiency and quality. The verification process includes experimental testing and simulation analysis to ensure that the adjusted signal achieves optimal transmission efficiency and obtains spectrum adjustment data.

[0092] S203: Evaluate the improvement effect and impact of bandwidth and frequency response through spectrum adjustment data, verify the rationality of spectrum adjustment, and obtain the optimized frequency domain characteristic data set. The execution process is as follows;

[0093] It not only verifies the rationality of spectrum adjustment but also involves a comprehensive assessment of signal quality and efficiency. The evaluation of improvement effects is based on detailed signal analysis and performance testing. The tests ensure that the adjusted frequency domain characteristics can meet higher communication standards and performance requirements. Through the evaluation, we can understand in detail the specific impact of spectrum adjustment on bandwidth and frequency response, and provide detailed records of signal adjustment and improvement results. The data is of great value for further signal optimization and protocol adaptation, and an optimized frequency domain characteristic data set is obtained.

[0094] See also Figure 4 Using the optimized frequency domain characteristic data set, the sliding window technology is used to analyze the time stability of the wireless network signal of the Redcap protocol module. The incoherent characteristics of the signal are smoothed and the sliding window size is dynamically adjusted. The specific steps to obtain the time stability evaluation results are as follows:

[0095] S301: Using the optimized frequency domain characteristic dataset, the sliding window technology is applied to perform time series analysis on the wireless network signal of the Redcap protocol module. By adjusting the window size, the frequency domain characteristics of the signal at different time points are continuously collected to identify the changes and fluctuations of the signal on the time axis. The execution process of obtaining time series analysis data is as follows;

[0096] By adjusting the window size, the frequency domain characteristics of the RedCap protocol module wireless network signal at different time points are gradually collected. The analysis involves precisely controlling the window size and step interval to ensure continuous collection of signal data. The key lies in the precise setting of window parameters to capture subtle changes and fluctuations in the signal on the time axis. Fluctuation data is a direct reflection of the dynamic changes in the signal. Identifying fluctuations is crucial for understanding the time series characteristics of the signal. It reflects the detailed frequency domain characteristics of the signal within the selected time window, provides an intuitive image of the signal's time dynamics, and obtains time series analysis data.

[0097] S302: Smoothing the wireless network signal of the Redcap protocol module through time series analysis data to avoid signal discontinuity and jumps, dynamically adjusting the size and overlap rate of the sliding window, and obtaining the signal smoothing processing record. The execution process is as follows;

[0098] The wireless network signal of the redcap protocol module is smoothed. This process not only involves signal smoothing, but also includes dynamically adjusting the size and overlap rate of the sliding window to optimize the signal processing effect. The smoothing process is completed through a specific algorithm. The algorithm can effectively avoid the incoherence and jump of the signal. Dynamic adjustment of the sliding window parameters can make the data closer to the nature of the real signal, making the processed signal smoother and continuous, demonstrating the accuracy and effect of the signal processing, and obtaining a signal smoothing processing record.

[0099] S303: Using signal smoothing processing records, verifying the consistency and stability of the processed signal in multiple windows, calculating the coefficient of variation and stability index of the signal in the differentiated time windows, and obtaining the time stability evaluation result. The execution process is as follows;

[0100] Calculate the coefficient of variation and stability index of the signal in the differentiation time window according to the formula:

[0101] ;

[0102] Where, represents the coefficient of variation, represents the standard deviation of the signal, represents the average value of the signal;

[0103] Calculating the coefficient of variation is the key to evaluating the consistency and stability of the signal in different time windows. The average values ​​of the signals in five consecutive windows are 100, 102, 98, 99, and 101 Hz, respectively, and the standard deviation is 3 Hz. The average value can be calculated. Hz, standard deviation Hz, according to the coefficient of variation formula:

[0104] ;

[0105] This shows that the signal has high stability. The numerical results show that within the time window considered, the signal shows high consistency and stability, which meets the standards of communication quality control.

[0106] See also Figure 5 Based on the time stability evaluation results, according to the propagation direction and strength of the wireless network signal of the redcap protocol module, the antenna transmission angle and power are adjusted, and the spatial propagation path of the signal is analyzed. The specific steps to obtain the optimized spatial signal are as follows:

[0107] S401: Using the time stability evaluation results, analyze the strength and changes of the Redcap protocol module's wireless network signal in different propagation directions, adjust the antenna's transmission angle to match the optimal signal propagation path, optimize the signal coverage and strength distribution, and obtain antenna angle adjustment data. The execution process is as follows;

[0108] Adjust the antenna's transmission angle to match the optimal signal propagation path, according to the formula:

[0109] ;

[0110] Where, represents the optimal launch angle, represents the antenna height, Represents the target distance;

[0111] In order to achieve the best signal coverage, it is necessary to calculate the optimal transmission angle of the antenna. Set the antenna height to 50 meters and the target distance to 200 meters. According to the formula:

[0112] ;

[0113] The result means that the antenna should be set to 14 degrees to optimize the signal propagation effect at this specific distance. Through this adjustment, it can be ensured that the strength and changes of the signal in different propagation directions are effectively managed, improving the overall network coverage quality.

[0114] S402: Based on the antenna angle adjustment data, adjust the antenna transmission power, adjust according to the propagation distance of the wireless network signal of the redcap protocol module and the intensity requirements of the target area, verify the signal propagation efficiency and reception quality, and obtain the execution process of the power adjustment record as follows;

[0115] Careful adjustments are made based on the specific propagation distance and intensity requirements of the target area. This process involves complex power control technology and precise power allocation strategies to ensure that the signal can effectively reach the predetermined target area. Through precise power adjustment, the signal propagation efficiency and reception quality can be effectively controlled. Environmental factors and the sensitivity of the receiving equipment are taken into account during the adjustment process to optimize the overall efficiency of signal propagation. The actual effect of signal propagation after each adjustment is reflected in detail, providing important data for further optimizing signal propagation and obtaining power adjustment records.

[0116] S403: Using the power adjustment record, analyze the propagation path and coverage effect of the wireless network signal of the Redcap protocol module in space. Through field testing and signal propagation simulation, analyze whether the adjusted antenna settings achieve the expected effect. The execution process of the optimized spatial signal is as follows;

[0117] Analyze the signal propagation path and coverage effect in space. This includes analyzing whether the adjusted antenna settings achieve the expected results through field testing and signal propagation simulation. During this process, through on-site data collection and simulation technology, the relationship between the antenna settings and the signal coverage effect is recorded and analyzed in detail to ensure that the signal can maintain the best effect in various environments. Through meticulous analysis and adjustment, the effectiveness of the adjustment measures is demonstrated, providing an accurate basis for future network layout and optimization, demonstrating the importance of comprehensive testing and simulation analysis, and obtaining an optimized spatial signal.

[0118] See also Figure 6 , using the optimized spatial signal, design and implement inter-layer coordination mechanism, adjust multi-layer parameters to achieve optimal signal transmission efficiency, match changes in network conditions, and perform signal conversion for differentiated devices and network configurations. The specific steps to obtain wireless network signal conversion results are as follows:

[0119] S501: Using the optimized spatial signal, an inter-layer coordination mechanism is designed. By adjusting the parameters of the signal processing layer, including the coding method and modulation technology, the interface and communication requirements between the differentiated network layers are matched. The execution process for obtaining multi-layer coordinated adjustment data is as follows;

[0120] By adjusting the parameters of the signal processing layer, such as the coding method and modulation technology, the interface and communication requirements between differentiated network layers are matched. This process involves fine-tuning the signal processing technology and coordinating the multi-layer network structure to ensure seamless connection between layers and maximize communication efficiency. The adjustment includes selecting appropriate coding and modulation schemes to adapt to the technical standards and performance requirements of different network layers. The adjustment is based on an in-depth analysis of the needs of each layer and the existing signal characteristics, reflecting the coordination between the layers and the optimization of communication efficiency, providing important support for achieving efficient network communication and obtaining multi-layer coordination adjustment data.

[0121] S502: Based on the multi-layer coordinated adjustment data, the dynamic changes of wireless network conditions, including channel interference and network congestion, are analyzed in real time, signal conversion parameters are adjusted, and a new signal transmission efficiency is calculated. The execution process for obtaining the optimized signal transmission efficiency value is as follows;

[0122] The formula for calculating the new signal transmission efficiency is:

[0123] ;

[0124] in, Represents the optimized signal transmission efficiency value, represents the old signal transmission efficiency value, To find the absolute value of a function, represents the adjustment factor, represents the interference adjustment coefficient, Represents the interference index of the real-time channel, represents the basic adjustment coefficient, Represents the network congestion index;

[0125] Parameter meaning and setting value:

[0126] The old signal transmission efficiency,value was set to 0.85 based on the data provided by the network monitoring,device, which means that 85% of the data packets were successfully transmitted before,the adjustment;

[0127] is the adjustment factor, which was determined to be 1.2 after data analysis, reflecting the amplification of the transmission efficiency of the old signal;

[0128] is the interference adjustment coefficient, which is set to 0.3 based on the channel quality analysis results, indicating a lower impact of interference on signal quality;

[0129] is the channel interference index, obtained through the channel monitoring device, set to 16, and quantifies the actual intensity of the interference;

[0130] The basic adjustment coefficient is set to 1.5 to ensure the stability of the formula denominator and prevent calculation errors caused by low congestion index; is the network congestion index, obtained from the network management system and set to 10, representing a high congestion level in the network;

[0131] Substitute the parameters into the formula for calculation:

[0132] ;

[0133] The results show that after adjusting for channel interference and network congestion, the new signal transmission efficiency is significantly reduced, which reflects the actual achievability of the original transmission efficiency under current network conditions. This result is used to further adjust the signal processing parameters of the wireless network to improve the reliability and efficiency of data transmission.

[0134] S503: Using the optimized signal transmission efficiency value, targeted signal conversion is performed for differentiated devices and network configurations. Based on the differentiated requirements of device reception capabilities and network configurations, the signal power output and spectrum allocation are adjusted to obtain the wireless network signal conversion result. The execution process is as follows;

[0135] Adjust the signal power output and spectrum allocation to meet the specific requirements of the receiving capabilities and network configurations of different devices. In this process, precise signal power adjustment and spectrum management are used to ensure that the signal can achieve the best effect in various devices and network environments. The adjustment process takes into account the sensitivity of the device and the capacity limitations of the network to optimize the quality and efficiency of signal transmission, providing a reliable foundation for realizing customized network services and improving user satisfaction, and obtaining wireless network signal conversion results.

[0136] On the other hand, an electric vehicle state monitoring system is provided. The electric vehicle state monitoring system is used to execute the above electric vehicle state monitoring method. The system includes:

[0137] The spectrum analysis module collects raw 5G signal data, performs fine-grained analysis of the signal spectrum, identifies the noise baseline in the signal, and filters out signal components outside the frequency range to obtain denoised signal data.

[0138] The frequency domain characteristic optimization module uses Fourier transform based on the denoised signal data to adjust the signal spectrum, optimize the bandwidth and frequency response of the redcap protocol module, and obtain the optimized frequency domain data set;

[0139] The stability analysis module uses the optimized frequency domain data set and applies the sliding window technology to analyze the temporal stability of the signal, smooth out the incoherent signal characteristics, and dynamically adjust the window size to obtain the temporal stability evaluation results;

[0140] The signal adjustment module adjusts the antenna's transmission angle and power based on the time stability evaluation results, analyzes the spatial propagation path of the wireless network signal of the Redcap protocol module, and obtains the spatial signal optimization results;

[0141] The coordination mechanism design module uses the spatial signal optimization results to adjust multi-layer parameters, evaluate the transmission efficiency of the optimal signal, match the changes in network conditions, and establish inter-layer coordination results;

[0142] The signal processing module performs signal conversion based on the inter-layer coordination results, optimizes signal processing for differentiated devices and network configurations, and obtains wireless network signal conversion results.

[0143] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A wireless network signal conversion method based on the 5G redcap protocol module, characterized in that: The following steps are involved: S1: Collects raw 5G signal data, performs spectrum distribution analysis on the raw 5G signal data, identifies and records the noise baseline in the signal, removes signal components outside the predetermined frequency range, and restores the signal's essential properties to obtain denoised signal data. S2: Using the denoised signal data, applying Fourier transform to analyze the frequency domain characteristics of the wireless network signal of the redcap protocol module, adjusting the signal spectrum, optimizing the bandwidth and frequency response of the wireless network signal of the redcap protocol module, and obtaining an optimized frequency domain characteristic data set; S3: Using the optimized frequency domain characteristic data set, the temporal stability of the wireless network signal of the Redcap protocol module is analyzed through the sliding window technology, the incoherent characteristics of the signal are smoothed, the sliding window size is dynamically adjusted, and the temporal stability evaluation result is obtained; S4: Based on the temporal stability evaluation result, according to the propagation direction and strength of the wireless network signal of the redcap protocol module, adjusting the transmission angle and power of the antenna, analyzing the spatial propagation path of the signal, and obtaining an optimized spatial signal; S5: Using the optimized spatial signal, design and implement an inter-layer coordination mechanism, adjust multi-layer parameters to achieve optimal signal transmission efficiency, match changes in network conditions, perform signal conversion for differentiated devices and network configurations, and obtain wireless network signal conversion results.

2. The 5G-based redcap protocol module wireless network signal conversion method according to claim 1, wherein The denoised signal data includes the filtered amplitude spectrum, phase spectrum, and frequency composition; the optimized frequency domain characteristic data set includes the reconfigured bandwidth, center frequency, and harmonic distortion level; the time stability evaluation result includes the signal duration, stability score, and time offset; the optimized spatial signal includes the signal's spatial coverage range, directional gain, and propagation delay; and the wireless network signal conversion result includes the signal's adaptability evaluation, conversion efficiency, and configuration adjustment results.

3. The 5G-based redcap protocol module wireless network signal conversion method according to claim 1, wherein Collect raw 5G signal data, perform spectrum distribution analysis on the raw 5G signal data, identify and record the noise baseline in the signal, remove signal components outside the predetermined frequency range, and restore the signal's essential properties. The specific steps for obtaining denoised signal data are as follows: S101: Collect raw 5G signal data, scan the signal frequency using a spectrum analyzer, record the energy value of each frequency point by point, identify the peaks and valleys in the signal, and obtain the spectrum range identification result; S102: Based on the spectrum range identification result, mark frequency points outside the normal communication range as noise baselines, perform energy filtering on the marked points, retain data within the wireless network communication frequency band of the redcap protocol module, and obtain noise separation data; S103: Using the noise separation data, applying a bandpass filter, retaining the signal within a predetermined frequency range, adjusting the energy standard of the retained signal to a set level, avoiding the influence of noise, restoring the essential characteristics of the signal, and obtaining denoised signal data.

4. The 5G-based redcap protocol module wireless network signal conversion method according to claim 1, wherein The steps of using the denoised signal data and applying Fourier transform to analyze the frequency domain characteristics of the wireless network signal of the redcap protocol module, adjusting the signal spectrum, optimizing the bandwidth and frequency response of the wireless network signal of the redcap protocol module, and obtaining the optimized frequency domain characteristic data set are as follows: S201: Using the denoised signal data, converting the signal from the time domain to the frequency domain through a fast Fourier transform algorithm, calculating the energy value of each frequency point in the frequency domain, analyzing the energy distribution of each frequency point, and generating a frequency domain characteristic analysis result; S202: Based on the frequency domain characteristic analysis results, adjust the energy value of the target frequency point, optimize the bandwidth and frequency response of the signal according to the communication characteristics of the redcap protocol module, including modifying the amplitude and phase of the spectrum portion, verifying that the signal matches the optimal transmission efficiency of the redcap protocol, and obtaining spectrum adjustment data; S203: Evaluate the improvement effect and impact of the bandwidth and frequency response through the spectrum adjustment data, verify the rationality of the spectrum adjustment, and obtain an optimized frequency domain characteristic data set.

5. The 5G-based redcap protocol module wireless network signal conversion method according to claim 4, characterized in that: The formula for calculating the energy value of each frequency point in the frequency domain is: ； in, is the energy distribution value of the differentiated frequency, represents the number of signal samples, Representative The complex magnitude of the frequency domain samples, represent The model, Representatives of the The Hanning window function value applied to the samples.

6. The 5G-based redcap protocol module wireless network signal conversion method according to claim 1, characterized in that: Using the optimized frequency domain characteristic dataset, the sliding window technique is used to analyze the temporal stability of the wireless network signal of the Redcap protocol module. The incoherent characteristics of the signal are smoothed and the sliding window size is dynamically adjusted to obtain the temporal stability evaluation results. The specific steps are as follows: S301: Using the optimized frequency domain characteristic data set, applying the sliding window technology, performing time series analysis on the wireless network signal of the redcap protocol module, continuously collecting the frequency domain characteristics of the signal at different time points by adjusting the window size, identifying the changes and fluctuations of the signal on the time axis, and obtaining time series analysis data; S302: Smoothing the wireless network signal of the redcap protocol module through the time series analysis data to avoid signal discontinuity and jumps, dynamically adjusting the size and overlap rate of the sliding window, and obtaining a signal smoothing record; S303: Using the signal smoothing processing record, verify the consistency and stability of the processed signal in multiple windows, calculate the coefficient of variation and stability index of the signal in the differentiated time window, and obtain a time stability evaluation result.

7. The 5G-based redcap protocol module wireless network signal conversion method according to claim 1, characterized in that: Based on the temporal stability evaluation results, the steps of adjusting the antenna's transmission angle and power according to the propagation direction and strength of the wireless network signal of the Redcap protocol module, analyzing the spatial propagation path of the signal, and obtaining the optimized spatial signal are as follows: S401: Using the time stability evaluation result, analyze the strength and changes of the wireless network signal of the redcap protocol module in different propagation directions, adjust the antenna transmission angle to match the optimal propagation path of the signal, optimize the coverage range and strength distribution of the signal, and obtain antenna angle adjustment data; S402: Based on the antenna angle adjustment data, adjust the antenna transmission power according to the propagation distance of the wireless network signal of the redcap protocol module and the intensity requirement of the target area, verify the propagation efficiency and reception quality of the signal, and obtain a power adjustment record; S403: Analyze the propagation path and coverage effect of the wireless network signal of the redcap protocol module in space using the power adjustment record, analyze whether the adjusted antenna setting achieves the expected effect through field testing and signal propagation simulation, and obtain the optimized spatial signal.

8. The 5G-based redcap protocol module wireless network signal conversion method according to claim 1, characterized in that: Using the optimized spatial signal, designing and implementing an inter-layer coordination mechanism, adjusting multi-layer parameters for optimal signal transmission efficiency, matching changes in network conditions, and performing signal conversion for differentiated devices and network configurations, the steps for obtaining wireless network signal conversion results are as follows: S501: Using the optimized spatial signal, designing an inter-layer coordination mechanism, adjusting parameters of the signal processing layer, including coding and modulation techniques, to match interface and communication requirements between differentiated network layers, and obtaining multi-layer coordination adjustment data; S502: Based on the multi-layer coordination adjustment data, perform real-time analysis on dynamic changes in wireless network conditions, including channel interference and network congestion, adjust signal conversion parameters, calculate new signal transmission efficiency, and obtain an optimized signal transmission efficiency value; S503: Using the optimized signal transmission efficiency value, perform targeted signal conversion for differentiated devices and network configurations, adjust signal power output and spectrum allocation according to differentiated requirements of device receiving capabilities and network configurations, and obtain wireless network signal conversion results.

9. The 5G-based redcap protocol module wireless network signal conversion method according to claim 8, characterized in that: The formula for calculating the new signal transmission efficiency is: ； in, Represents the optimized signal transmission efficiency value, represents the old signal transmission efficiency value, To find the absolute value of a function, represents the adjustment factor, represents the interference adjustment coefficient, Represents the interference index of the real-time channel, represents the basic adjustment coefficient, Represents the network congestion index.

10. The 5G-based redcap protocol module wireless network signal conversion system is characterized by: According to any one of claims 1 to 9, the 5G-based redcap protocol module wireless network signal conversion method, the system comprising: The spectrum analysis module collects raw 5G signal data, performs fine-grained analysis of the signal spectrum, identifies the noise baseline in the signal, and filters out signal components outside the frequency range to obtain denoised signal data. The frequency domain characteristic optimization module uses Fourier transform based on the denoised signal data to adjust the signal spectrum, optimize the bandwidth and frequency response of the redcap protocol module, and obtain an optimized frequency domain data set; The stability analysis module uses the optimized frequency domain data set and applies sliding window technology to analyze the temporal stability of the signal, smoothes the incoherent signal characteristics, and dynamically adjusts the window size to obtain a temporal stability evaluation result; The signal adjustment module adjusts the transmission angle and power of the antenna based on the time stability evaluation result, analyzes the spatial propagation path of the wireless network signal of the redcap protocol module, and obtains the spatial signal optimization result; The coordination mechanism design module uses the spatial signal optimization results to adjust multi-layer parameters, evaluate the transmission efficiency of the optimal signal, match the changes in network conditions, and establish inter-layer coordination results; The signal processing module performs signal conversion based on the inter-layer coordination result, optimizes signal processing for differentiated devices and network configurations, and obtains a wireless network signal conversion result.

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