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

Abstract

The invention relates to the technical field of wireless communication, in particular to a 5G-based redcap protocol module wireless network signal conversion method and system, and the method comprises the following steps: collecting original 5G signal data, carrying out the spectrum distribution analysis of the original 5G signal data, recognizing and recording a noise baseline in a signal, removing signal components exceeding a preset frequency range, and carrying out the spectrum distribution analysis of the original 5G signal data; and obtaining the denoised signal data. According to the invention, the frequency domain characteristic and the bandwidth response are optimized through Fourier transform, the overall stability and the transmission quality of the signal are enhanced, the signal can still be kept stable when the signal is not coherent through the application of the sliding window technology, the transmission challenge in a high-mobility environment is effectively handled, and the transmission performance of the antenna is improved by adjusting the transmitting angle and the power of the antenna. The spatial propagation path of the signal is optimized, the breadth and uniformity of signal coverage are ensured, the transmission efficiency of the signal is improved, and the adaptive capacity of the network and the access performance of equipment are improved, especially in the environment of uneven network coverage and equipment diversity.

Description

Technical Field

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

[0002] The field of wireless communication technologies involves using electromagnetic waves to transmit signals for the transfer of data and information in space without physical connection. This field includes various wireless transmission technologies such as satellite communication, wireless local area network, cellular mobile communication, etc. With the progress of technology, wireless communication technologies have developed from 2G, 3G, 4G to 5G. 5G technology supports higher data transmission rates, lower latency, and a wider connection range, greatly promoting the development of the Internet of Things, smart devices, and various modern communication requirements. 5G communication not only plays an important role in improving transmission efficiency and quality but also opens up new application scenarios in fields such as healthcare, manufacturing, and autonomous driving.

[0003] Among them, the method for converting wireless network signals of a 5G RedCap protocol module refers to using specific technologies to convert the signals of Reduced Capability (RedCap) devices in the 5G communication standard into signal formats suitable for different network conditions. RedCap is a communication protocol designed specifically to support Internet of Things devices, allowing lower-cost devices to work efficiently on the 5G network but with lower data rates and transmission requirements. This topic studies how to optimize the signal processing of devices for more reliable communication in various network environments. The uses of this signal conversion method mainly include improving the network access performance of Internet of Things devices, enhancing the stability and efficiency of data transmission, especially in environments with uneven network coverage or high device mobility.

[0004] Existing technologies have limitations in dealing with signal stability and frequency-domain characteristic adjustment in high-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, at the urban fringe or in rural areas, uneven signal coverage leads to data transmission interruption and degraded communication quality, affecting the reliability of Internet of Things devices and mobile communication. In addition, existing technologies have not been optimized in terms of spectrum resource utilization and precise removal of signal components, resulting in resource waste or signal interference and further reducing the overall performance and user experience of the network. Summary of the Invention

[0005] To address the limitations in the existing technology regarding signal stability and frequency-domain characteristic adjustment in high-dynamic environments, this technology relies on relatively fixed network settings and signal processing modes, making it difficult to adapt to rapidly changing network conditions and complex interference factors. For example, at the urban fringe or in rural areas, uneven signal coverage leads to data transmission interruptions and degraded 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 resource waste or signal interference and further reducing the overall network performance and user experience. Embodiments of the present invention provide a method and system for wireless network signal conversion based on the 5G redcap protocol module. The technical solution is as follows: On the one hand, a method for wireless network signal conversion based on the 5G redcap protocol module is provided, and the method includes: S1: 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 attributes of the signal to obtain the denoised signal data; S2: Use the denoised signal data, apply the Fourier transform to analyze the frequency-domain characteristics of the redcap protocol module wireless network signal, adjust the signal spectrum, optimize the wireless network signal bandwidth and frequency response of the redcap protocol module to obtain an optimized frequency-domain characteristic data set; S3: Use the optimized frequency-domain characteristic data set, through the sliding window technique, analyze the time stability of the redcap protocol module wireless network signal, perform smoothing processing for the discontinuous characteristics of the signal, dynamically adjust the sliding window size to obtain the time stability evaluation result; S4: Based on the time stability evaluation result, according to the propagation direction and intensity of the redcap protocol module wireless network signal, adjust the transmission angle and power of the antenna, analyze the spatial propagation path of the signal to obtain an optimized spatial signal; S5: Use the optimized spatial signal, design and perform an inter-layer coordination mechanism, adjust multi-layer parameters for optimal signal transmission efficiency, match the changes in network conditions, perform signal conversion for different devices and network configurations to obtain the wireless network signal conversion result.

[0006] As a further solution of the present invention, the denoised signal data includes the amplitude spectrum, phase spectrum, and frequency composition after filtering processing. The optimized frequency-domain characteristic dataset 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 spatial coverage range, directivity gain, and propagation delay of the signal. The wireless network signal conversion result includes the adaptability evaluation, conversion efficiency, and configuration adjustment result of the signal.

[0007] As a further solution of the present invention, the steps of collecting the original 5G signal data, performing spectral distribution analysis on the original 5G signal data, identifying and recording the noise baseline in the signal, removing the signal components outside the predetermined frequency range, and restoring the essential attributes of the signal to obtain the denoised signal data are specifically as follows: S101: Collect the original 5G signal data, scan the signal frequency using a spectrum analyzer, record the energy value of each frequency point point by point, identify the peaks and valleys in the signal, and obtain the spectrum range identification result; S102: According to 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; S103: Use the noise separation data, apply a band-pass filter, retain the signal within the predetermined frequency range, adjust the energy standard of the retained signal to the set level, avoid the influence of noise, and restore the essential characteristics of the signal to obtain the denoised signal data.

[0008] As a further solution of the present invention, the steps of using the denoised signal data, applying the Fourier transform, analyzing the frequency-domain characteristics of the wireless network signal of the redcap protocol module, adjusting the signal spectrum, and optimizing the wireless network signal bandwidth and frequency response of the redcap protocol module to obtain the optimized frequency-domain characteristic dataset are specifically as follows: S201: Use the denoised signal data, through the fast Fourier transform algorithm, convert the signal from the time domain to the frequency domain, calculate the energy value of each frequency point in the frequency domain, analyze the energy distribution of each frequency point, and generate the frequency-domain characteristic analysis result; S202: Based on the frequency-domain characteristic analysis result, 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 to obtain the spectrum adjustment data; S203: Through the spectrum adjustment data, evaluate the improvement effect and influence of the bandwidth and frequency response, verify the rationality of the spectrum adjustment, and obtain the optimized frequency-domain characteristic dataset.

[0009] As a further solution of the present invention, the formula for calculating the energy value of each frequency point in the frequency domain is: ; Wherein, is the energy distribution value of the differential frequency, represents the number of signal samples, represents the th complex amplitude of the frequency domain sample, represents the modulus of, represents the value of the Hanning window function applied to the rd sample.

[0010] As a further solution of the present invention, using the optimized frequency domain characteristic data set, through the sliding window technique, analyze the time stability of the redcap protocol module wireless network signal, smooth the signal for the discontinuous characteristics, and dynamically adjust the sliding window size. The steps to obtain the time stability evaluation result are specifically as follows: S301: Adopt the optimized frequency domain characteristic data set, apply the sliding window technique to perform time series analysis on the redcap protocol module wireless network signal, continuously collect the frequency domain characteristics of the signal at different time points by adjusting the window size, identify the changes and fluctuations of the signal on the time axis, and obtain time series analysis data; S302: Through the time series analysis data, smooth the redcap protocol module wireless network signal, avoid the incoherence and jumps of the signal, dynamically adjust the size and overlap rate of the sliding window, and obtain the signal smoothing processing record; S303: Use the signal smoothing processing record to check the consistency and stability of the processed signal in multiple windows, calculate the coefficient of variation and stability index of the signal in different time windows, and obtain the time stability evaluation result.

[0011] As a further solution of the present invention, based on the time stability evaluation result, according to the propagation direction and intensity of the redcap protocol module wireless network signal, adjust the transmission angle and power of the antenna, analyze the spatial propagation path of the signal, and the steps to obtain the optimized spatial signal are specifically as follows: S401: Adopt the time stability evaluation result, analyze the intensity and changes of the redcap protocol module wireless network signal in different propagation directions, adjust the transmission angle of the antenna to match the optimal propagation path of the signal, optimize the coverage range and intensity distribution of the signal, and obtain antenna angle adjustment data; S402: Adjust the antenna transmission power based on the antenna angle adjustment data, adjust it according to the propagation distance and target area intensity requirements of the wireless network signal of the redcap protocol module, verify the propagation efficiency and reception quality of the signal, and obtain a power adjustment record; S403: Utilize the power adjustment record to analyze the propagation path and coverage effect of the wireless network signal of the redcap protocol module in space, and determine whether the adjusted antenna settings achieve the expected effect through on-site testing and signal propagation simulation analysis, so as to obtain an optimized spatial signal.

[0012] As a further solution of the present invention, the steps of designing and implementing an inter-layer coordination mechanism by using the optimized spatial signal, adjusting multi-layer parameters for optimal signal transmission efficiency, matching the changes in network conditions, and performing signal conversion for different devices and network configurations to obtain the wireless network signal conversion result are specifically as follows: S501: Adopt the optimized spatial signal to design an inter-layer coordination mechanism, and match the interfaces and communication requirements between different network layers by adjusting the parameters of the signal processing layer, including coding methods and modulation techniques, to obtain multi-layer coordination adjustment data; S502: Based on the multi-layer coordination adjustment data, perform real-time analysis on the dynamic changes in wireless network conditions, including channel interference and network congestion, adjust the signal conversion parameters, and calculate the new signal transmission efficiency to obtain an optimized signal transmission efficiency value; S503: Utilize the optimized signal transmission efficiency value to perform targeted signal conversion for different devices and network configurations, and adjust the power output and spectrum allocation of the signal according to the different requirements of device reception capabilities and network configurations to obtain the wireless network signal conversion result.

[0013] As a further solution of the present invention, the formula for calculating the new signal transmission efficiency is: ; Wherein, represents the optimized signal transmission efficiency value, represents the old signal transmission efficiency value, is the absolute value 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.

[0014] On the other hand, an electric vehicle status monitoring system is provided. The electric vehicle status monitoring system is used to execute the above-mentioned electric vehicle status monitoring method, and the system includes: The spectrum analysis module collects the original 5G signal data, conducts a fine-grained analysis of the signal spectrum, identifies the noise baseline in the signal, and filters out the signal components outside the frequency range to obtain the denoised signal data; The frequency domain characteristic optimization module uses the 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; The stability analysis module uses the optimized frequency domain data set, applies the sliding window technique, analyzes the time stability of the signal, smooths the characteristics of the discontinuous signal, and dynamically adjusts the window size to obtain the time 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 redcap protocol module wireless network signal, and obtains the spatial signal optimization result; The coordination mechanism design module uses the spatial signal optimization result to adjust multi-layer parameters, evaluate the transmission efficiency of the optimal signal, match the changes in network conditions, and establish the inter-layer coordination result; The signal processing module conducts signal conversion based on the inter-layer coordination result, optimizes signal processing for different devices and network configurations, and obtains the wireless network signal conversion result.

[0015] The beneficial effects brought by the technical solution provided by the embodiments of the present invention at least include: By collecting and analyzing the original 5G signal data, removing the signal components outside the predetermined frequency range, and restoring the essential attributes of the signal, the accuracy and efficiency of signal processing are improved. Using the Fourier transform to optimize the frequency domain characteristics and bandwidth response enhances the overall stability and transmission quality of the signal. The application of the sliding window technique enables the signal to remain stable even when discontinuous, effectively coping with the transmission challenges in high-mobility environments. By adjusting the transmission angle and power of the antenna, the spatial propagation path of the signal is optimized, ensuring the breadth and uniformity of signal coverage, not only improving the transmission efficiency of the signal, but also significantly enhancing the network adaptability and device access performance, especially in environments with uneven network coverage and device diversity. Description of the Drawings

[0016] Figure 1 It is a schematic diagram of the working process of the present invention; Figure 2 It is a detailed flowchart of S1 of the present invention; Figure 3 It is a detailed flowchart of S2 of the present invention; Figure 4 It is a detailed flowchart of S3 of the present invention; Figure 5 It is a detailed flowchart of S4 of the present invention; Figure 6 This is the detailed flowchart of S5 of the present invention; Figure 7 This is the system flowchart of the present invention. Specific embodiments

[0017] The following describes the technical solutions in the present invention in conjunction with the accompanying drawings.

[0018] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as an "example" in the present invention should not be construed as being more preferred or more advantageous than other embodiments or design solutions. Rather, the use of the word "example" is intended to present concepts in a specific manner. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two.

[0019] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail in conjunction with the accompanying drawings and specific embodiments.

[0020] Please refer to Figure 1 , the embodiments of the present invention provide a method for converting wireless network signals of a redcap protocol module based on 5G. The processing flow of this method may include the following steps: S1: Collect the original 5G signal data, perform spectral distribution analysis on the original 5G signal data, identify and record the noise baseline in the signal, perform high-pass and low-pass filtering, remove the signal components outside the predetermined frequency range, and restore the essential attributes of the signal to obtain the denoised signal data; S2: Use the denoised signal data, apply Fourier transform, analyze the frequency-domain characteristics of the redcap protocol module wireless network signal, adjust the signal spectrum, optimize the wireless network signal bandwidth and frequency response of the redcap protocol module, and obtain an optimized frequency-domain characteristic data set; S3: Use the optimized frequency-domain characteristic data set, through the sliding window technique, analyze the time stability of the redcap protocol module wireless network signal, perform smoothing processing for the discontinuous characteristics of the signal, and obtain the time stability evaluation result by dynamically adjusting the sliding window size; S4: Based on the time stability evaluation result, according to the propagation direction and intensity of the redcap protocol module wireless network signal, adjust the transmission angle and power of the antenna, analyze the spatial propagation path of the signal, optimize the signal coverage range and reception quality, and obtain an optimized spatial signal; S5: Use the optimized spatial signal, design and perform an inter-layer coordination mechanism, adjust multi-layer parameters for the optimal signal transmission efficiency, match the changes in network conditions, perform signal conversion for different devices and network configurations, and obtain the wireless network signal conversion result.

[0021] The denoised signal data includes the amplitude spectrum, phase spectrum, and frequency composition after filtering. The optimized frequency-domain characteristic dataset includes the reconfigured bandwidth, center frequency, and harmonic distortion level. The time stability evaluation results include the signal duration, stability score, and time offset. The optimized spatial signal includes the spatial coverage range, directional gain, and propagation delay of the signal. The wireless network signal conversion results include the adaptability evaluation, conversion efficiency, and configuration adjustment results of the signal.

[0022] Please refer to Figure 2 , for the steps of collecting the original 5G signal data, performing spectral distribution analysis on the original 5G signal data, identifying and recording the noise baseline in the signal, removing the signal components outside the predetermined frequency range, and restoring the essential attributes of the signal to obtain the denoised signal data, specifically as follows: S101: Collect the original 5G signal data, scan the signal frequency using a spectrum analyzer, record the energy value of each frequency point point by point, identify the peaks and valleys in the signal, and the execution process of obtaining the spectral range identification result is as follows; The use of the spectrum analyzer is not limited to scanning the signal frequency, but also includes recording the energy value of each frequency point point by point. This process involves complex data acquisition techniques and precise frequency resolution to ensure the integrity and accuracy of the signal data. The energy value of each frequency point is recorded through a specific algorithm and stored in the 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 characteristics and noise parts of the signal can be accurately distinguished. The key to this process lies in efficient signal processing algorithms and data analysis techniques, enabling valuable information to be extracted from complex signals and obtaining the spectral range identification result.

[0023] S102: According to the spectral range identification result, mark the frequency points outside the normal communication range as the noise baseline, perform energy filtering on the marked points, and retain the data within the wireless network communication frequency band of the RedCap protocol module. The execution process of obtaining the noise separation data is as follows; Mark the frequency points outside the normal communication range as the noise baseline. The marking process involves complex signal identification techniques and precise division of frequency points to ensure that only the frequency points unrelated to normal communication are marked. Perform energy filtering on the marked points, delete the irrelevant data through a specific filtering algorithm, and ensure the purity and effectiveness of the data. This process involves advanced data processing techniques, including data filtering, cleaning, and storage, to retain the 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 obtains the noise separation data.

[0024] S103: The execution process of using noise-separated data, applying a band-pass filter, retaining signals within a predetermined frequency range, adjusting the energy standard of the retained signals to a set level, avoiding the influence of noise, restoring the essential characteristics of the signals, and obtaining the denoised signal data is as follows; Apply a band-pass filter to retain signals within a predetermined frequency range, according to the formula: ; In the formula, represents the gain of the band-pass filter, represents the frequency, represents the cut-off frequency, represents the order of the filter; The key to the design of the band-pass filter lies in selecting appropriate cut-off frequencies and the order of the filter , and the parameters directly affect the signal retention and noise suppression effects. If Hz and are selected, then the gain at Hz can be calculated according to the formula: ; The results show that the high-frequency gain is close to 1, that is, the signal almost completely passes through, and the noise is effectively suppressed. Such a design ensures the purity of the signal and the optimization of communication quality.

[0025] Please refer to Figure 3 , using the denoised signal data, applying the Fourier transform, analyzing the frequency-domain characteristics of the RedCap protocol module wireless network signal, adjusting the signal spectrum, optimizing the wireless network signal bandwidth and frequency response of the RedCap protocol module, and the steps to obtain the optimized frequency-domain characteristic data set are specifically as follows: S201: The execution process of using the denoised signal data, through the fast Fourier transform algorithm, converting the signal from the time domain to the frequency domain, calculating the energy value of each frequency point in the frequency domain, analyzing the energy distribution of each frequency point, and generating the frequency-domain characteristic analysis result is as follows; The formula for calculating the energy value of each frequency point in the frequency domain is: ; Among them, is the energy distribution value of the differential frequency, represents the number of signal samples, represents the complex amplitude of the th frequency-domain sample, represents 's modulus, represents the value of the Hanning window function applied to the th sample; Parameter meanings and setting values: is the number of signal samples, with a set value of 1024, representing the number of data points considered in the analysis process and affecting the resolution of the spectrum; is the modulus of the complex amplitude of the th frequency point, obtained by monitoring the data through fast Fourier transform (FFT), such as , , until ; is the window function value. Apply the Hanning window function to points, such as , , and so on. The window function values change according to the definition of the Hanning window, aiming to reduce the end - point effect; Substitute the parameters into the formula for calculation: Let , , , and so on, , , and the calculation formula is: = 1053.143; The result shows the energy value at frequency , indicating that through FFT analysis and window function processing, the energy distribution of 5G signals at each frequency point can be accurately evaluated, 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.

[0026] S202: Based on the analysis results of the frequency - domain characteristics, adjust the energy value of the target frequency point. For the communication characteristics of the redcap protocol module, optimize the signal bandwidth and frequency response, 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 of obtaining the spectrum adjustment data is as follows; Optimize for the communication characteristics of the RedCap protocol module. This process includes adjusting the signal bandwidth and frequency response, modifying the amplitude and phase of the spectrum part. The adjustment is to ensure that the signal can better match the requirements of the RedCap protocol. The optimization operation involves complex signal - processing techniques, including precise spectrum analysis and adjustment, as well as delicate modification of amplitude and phase. The purpose of the modification is to improve the transmission efficiency and quality of the signal. The verification process includes experimental tests and simulation analysis to ensure that the adjusted signal can achieve the optimal transmission efficiency and obtain the spectrum adjustment data.

[0027] S203: The execution process of evaluating the improvement effect and impact of bandwidth and frequency response, verifying the rationality of spectrum adjustment, and obtaining the optimized frequency-domain characteristic dataset by adjusting spectrum data is as follows; It not only verifies the rationality of spectrum adjustment, but also involves the comprehensive evaluation of signal quality and efficiency. The evaluation of the improvement effect is based on detailed signal analysis and performance testing. The testing ensures that the adjusted frequency-domain characteristics can meet higher communication standards and performance requirements. Through the evaluation, the specific impact of spectrum adjustment on bandwidth and frequency response can be understood in detail, providing a detailed record of signal adjustment and improvement results. The data is of great value for further signal optimization and protocol adaptation, and the optimized frequency-domain characteristic dataset is obtained.

[0028] Please refer to Figure 4 , using the optimized frequency-domain characteristic dataset, through the sliding window technique, analyze the time stability of the RedCap protocol module wireless network signal, smooth the signal for the discontinuous characteristics, and dynamically adjust the sliding window size. The specific steps for obtaining the time stability evaluation result are as follows: S301: Using the optimized frequency-domain characteristic dataset, apply the sliding window technique to perform time series analysis on the RedCap protocol module wireless network signal. By adjusting the window size, continuously collect the frequency-domain characteristics of the signal at different time points, identify the changes and fluctuations of the signal on the time axis, and the execution process of obtaining the time series analysis data is as follows; By adjusting the window size, gradually collect the frequency-domain characteristics of the RedCap protocol module wireless network signal at different time points. 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 the subtle changes and fluctuations of the signal on the time axis. The fluctuation data is a direct reflection of the dynamic changes of the signal. Identifying fluctuations is crucial for understanding the time series characteristics of the signal, reflecting the detailed frequency-domain characteristics of the signal within the selected time window, providing an intuitive image of the signal time dynamics, and obtaining the time series analysis data.

[0029] S302: Through the time series analysis data, smooth the RedCap protocol module wireless network signal to avoid signal incoherence and jumps, and dynamically adjust the size and overlap rate of the sliding window. The execution process of obtaining the signal smoothing process record is as follows; Smooth the wireless network signal of the RedCap protocol module. 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 signal incoherence and jumps. Dynamically adjusting the sliding window parameters can make the data closer to the nature of the real signal, making the processed signal smoother and more continuous, demonstrating the accuracy and effect of signal processing, and obtaining the signal smoothing processing record.

[0030] S303: Use the signal smoothing processing record to check the consistency and stability of the processed signal within multiple windows, calculate the coefficient of variation and stability index of the signal in different time windows, and the execution process of obtaining the time stability evaluation result is as follows; Calculate the coefficient of variation and stability index of the signal in different time windows, according to the formula: ; In the formula, represents the coefficient of variation, represents the standard deviation of the signal, represents the average value of the signal; Calculating the coefficient of variation is the key to evaluating the consistency and stability of the signal within different time windows. The average values of the signal in five consecutive windows are 100, 102, 98, 99, and 101 Hz respectively, and the standard deviation is 3 Hz. Then the average value Hz, standard deviation Hz. According to the coefficient of variation formula: ; Indicates that the signal has high stability. This numerical result shows that within the considered time windows, the signal shows high consistency and stability, meeting the standards of communication quality control.

[0031] Please refer to Figure 5 , based on the time stability evaluation result, according to the propagation direction and intensity of the RedCap protocol module wireless network signal, adjust the transmission angle and power of the antenna, analyze the spatial propagation path of the signal, and the steps to obtain the optimized spatial signal are as follows: S401: Use the time stability evaluation result to analyze the intensity and variation of the RedCap protocol module wireless network signal in different propagation directions, adjust the transmission angle of the antenna to match the optimal propagation path of the signal, optimize the signal coverage range and intensity distribution, and the execution process of obtaining the antenna angle adjustment data is as follows; Adjust the transmission angle of the antenna to match the optimal propagation path of the signal, according to the formula: ; In the formula, represents the optimal transmission angle, represents the antenna height, represents the target distance; 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: ; 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 ensure that the signal intensity and variation in different propagation directions are effectively managed, improving the overall network coverage quality.

[0032] S402: Based on the antenna angle adjustment data, adjust the antenna transmission power, and make adjustments according to the propagation distance and target area intensity requirements of the redcap protocol module wireless network signal. The execution process of verifying the signal propagation efficiency and reception quality to obtain the power adjustment record is as follows; Make detailed adjustments according to the specific propagation distance and the intensity requirements of the target area. This process involves complex power control technologies and precise power distribution 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 device are considered during the adjustment process to optimize the overall efficiency of signal propagation, and the actual effect of signal propagation after each adjustment is detailedly reflected, providing important data for further optimizing signal propagation and obtaining the power adjustment record.

[0033] S403: Use the power adjustment record to analyze the propagation path and coverage effect of the redcap protocol module wireless network signal in space. Through on-site testing and signal propagation simulation analysis, check whether the adjusted antenna settings meet the expected effect. The execution process of obtaining the optimized spatial signal is as follows; Analyze the propagation path and coverage effect of the signal in space, which includes checking whether the adjusted antenna settings meet the expected effect through on-site testing and signal propagation simulation analysis. During this process, through on-site data collection and simulation techniques, the relationship between the antenna settings and the signal coverage effect is detailedly recorded and analyzed to ensure that the signal can maintain the best effect in various environments. Through detailed analysis and adjustment, the effectiveness of the adjustment measures is demonstrated, providing an accurate basis for future network layout and optimization, and showing the importance of comprehensive testing and simulation analysis to obtain the optimized spatial signal.

[0034] Please refer to Figure 6, using the optimized spatial signal, design and implement an inter-layer coordination mechanism, adjust multi-layer parameters for optimal signal transmission efficiency, match the changes in network conditions, and perform signal conversion for different devices and network configurations. The steps to obtain the wireless network signal conversion result are as follows: S501: Adopt the optimized spatial signal, design an inter-layer coordination mechanism, and by adjusting the parameters of the signal processing layer, including the coding method and modulation technology, match the interfaces and communication requirements between different network layers. The execution process of obtaining the multi-layer coordinated adjustment data is as follows; By adjusting the parameters of the signal processing layer, such as the coding method and modulation technology, to match the interfaces and communication requirements between different network layers. This process involves fine-tuning of signal processing technologies and coordination of multi-layer network structures to ensure seamless connection between layers and maximization of 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 in-depth analysis of the requirements of each layer and the existing signal characteristics, reflecting the coordination between layers and the optimization of communication efficiency, providing important support for achieving efficient network communication, and obtaining multi-layer coordinated adjustment data.

[0035] S502: Based on the multi-layer coordinated adjustment data, perform real-time analysis of the dynamic changes in wireless network conditions, including channel interference and network congestion, adjust the signal conversion parameters, and calculate the new signal transmission efficiency. The execution process of obtaining the optimized signal transmission efficiency value is as follows; The formula for calculating the new signal transmission efficiency is: ; where, represents the optimized signal transmission efficiency value, represents the old signal transmission efficiency value, is the absolute value 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; Parameter meanings and setting values: is the old signal transmission efficiency, and the value is set to 0.85 according to the data provided by the network monitoring device, indicating that 85% of the data packets are successfully transmitted before adjustment; is the adjustment factor, which is determined to be 1.2 through data analysis, reflecting the amplification process of the old signal transmission efficiency; is the interference adjustment coefficient, which is set to 0.3 according to the channel quality analysis result, indicating the impact of lower interference on the signal quality; is the channel interference index, which is obtained through a channel monitoring device and set to 16 to quantify the actual intensity of interference; is the basic adjustment coefficient, which is set to 1.5 to ensure the stability of the formula denominator and prevent calculation errors caused by a low congestion index; is the network congestion index, which is obtained from the network management system and set to 10, representing a high congestion level in the network; Substitute the parameters into the formula for calculation: ; The results show that after adjusting for channel interference and network congestion, the new signal transmission efficiency is significantly reduced, which reflects the actual reachability of the original transmission efficiency under the 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.

[0036] S503: Use the optimized signal transmission efficiency value to perform targeted signal conversion for differentiated devices and network configurations. According to the differentiated requirements of device reception capabilities and network configurations, adjust the power output and spectrum allocation of the signal. The execution process for obtaining the wireless network signal conversion result is as follows; Adjust the power output and spectrum allocation of the signal to meet the specific requirements of different device reception capabilities and network configurations. In this process, through precise signal power adjustment and spectrum management, ensure that the signal can achieve the best effect in various device and network environments. The adjustment process takes into account the sensitivity of the device and the capacity limit of the network to optimize the quality and efficiency of signal transmission, providing a reliable basis for realizing customized network services and improving user satisfaction, and obtaining the wireless network signal conversion result.

[0037] On the other hand, an electric vehicle status monitoring system is provided. The electric vehicle status monitoring system is used to execute the above-mentioned electric vehicle status monitoring method. The system includes: The spectrum analysis module collects the original 5G signal data, performs a fine-grained analysis of the signal spectrum, identifies the noise baseline in the signal, and filters out the signal components outside the frequency range to obtain the denoised signal data; The frequency domain characteristic optimization module, based on the denoised signal data, uses the Fourier transform to adjust the signal spectrum and optimize the bandwidth and frequency response of the redcap protocol module to obtain the optimized frequency domain data set; The stability analysis module uses the optimized frequency domain data set, applies the sliding window technique, analyzes the time stability of the signal, smooths the characteristics of discontinuous signals, and dynamically adjusts the window size to obtain the time stability evaluation result; Based on the time stability evaluation result, the signal adjustment module adjusts the transmission angle and power of the antenna, analyzes the spatial propagation path of the wireless network signal of the RedCap protocol module, and obtains the spatial signal optimization result; Using the spatial signal optimization result, the coordination mechanism design module adjusts multi-layer parameters, evaluates the transmission efficiency of the optimal signal, matches the changes in network conditions, and establishes the inter-layer coordination result; Based on the inter-layer coordination result, the signal processing module performs signal conversion, optimizes signal processing for different devices and network configurations, and obtains the wireless network signal conversion result.

[0038] As mentioned above, the above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for converting wireless network signals of a redcap protocol module based on 5G, characterized in that, It includes the following steps: S1: Collect the original 5G signal data, perform spectral 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 attributes of the signal to obtain the denoised signal data; S2: Use the denoised signal data, apply Fourier transform, analyze the frequency-domain characteristics of the redcap protocol module wireless network signal, adjust the signal spectrum, optimize the wireless network signal bandwidth and frequency response of the redcap protocol module to obtain the optimized frequency-domain characteristic data set; S3: Use the optimized frequency-domain characteristic data set, through the sliding window technique, analyze the time stability of the redcap protocol module wireless network signal, perform smoothing processing for the discontinuous characteristics of the signal, dynamically adjust the sliding window size to obtain the time stability evaluation result; S4: Based on the time stability evaluation result, according to the propagation direction and intensity of the redcap protocol module wireless network signal, adjust the transmission angle and power of the antenna, analyze the spatial propagation path of the signal to obtain the optimized spatial signal; S5: Use the optimized spatial signal, design and perform an inter-layer coordination mechanism, adjust multi-layer parameters for the optimal signal transmission efficiency, match the changes in network conditions, perform signal conversion for different devices and network configurations to obtain the wireless network signal conversion result.

2. The method for converting wireless network signals of the redcap protocol module based on 5G according to claim 1, wherein, The denoised signal data includes the amplitude spectrum, phase spectrum, and frequency composition after filtering processing. 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 spatial coverage range, directional gain, and propagation delay of the signal. The wireless network signal conversion result includes the adaptability evaluation, conversion efficiency, and configuration adjustment result of the signal.

3. The method for converting wireless network signals of the 5G-based redcap protocol module according to claim 1, wherein The steps of collecting the original 5G signal data, performing spectral distribution analysis on the original 5G signal data, identifying and recording the noise baseline in the signal, removing the signal components outside the predetermined frequency range, and restoring the essential attributes of the signal to obtain the denoised signal data are specifically as follows: S101: Collect the original 5G signal data, use a spectrum analyzer to scan the signal frequency, record the energy value of each frequency point one by one, identify the peaks and valleys in the signal to obtain the spectrum range identification result; S102: According to 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 to obtain the noise separation data; S103: Use the noise separation data, apply a band-pass filter, retain the signal within the predetermined frequency range, adjust the energy standard of the retained signal to the set level, avoid the influence of noise, and restore the essential characteristics of the signal to obtain the denoised signal data.

4. The method for converting a wireless network signal of a redcap protocol module based on 5G according to claim 1, wherein Using the denoised signal data, applying Fourier transform, analyzing the frequency-domain characteristics of the RedCap protocol module's wireless network signal, adjusting the signal spectrum, optimizing the wireless network signal bandwidth and frequency response of the RedCap protocol module, and obtaining the optimized frequency-domain characteristic data set, the steps are specifically as follows: S201: Using the denoised signal data, through the fast Fourier transform algorithm, convert the signal from the time domain to the frequency domain, calculate the energy value of each frequency point in the frequency domain, analyze the energy distribution of each frequency point, and generate the frequency-domain characteristic analysis result; S202: Based on the frequency-domain characteristic analysis result, 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, verify that the signal matches the optimal transmission efficiency of the RedCap protocol, and obtain the spectrum adjustment data; S203: Through the spectrum adjustment data, evaluate the improvement effect and influence of the bandwidth and frequency response, verify the rationality of the spectrum adjustment, and obtain the optimized frequency-domain characteristic data set.

5. The method for converting wireless network signals of the 5G-based redcap protocol module according to claim 4, wherein The formula for calculating the energy value of each frequency point in the frequency domain is: ； Among them, is the energy distribution value of the differential frequency, represents the number of signal samples, represents the complex amplitude of the th frequency domain sample, represents the modulus of represents the value of the Hanning window function applied to the th sample.

6. The method for converting wireless network signals of the 5G-based redcap protocol module according to claim 1, wherein Using the optimized frequency-domain characteristic data set, through the sliding window technique, analyze the time stability of the RedCap protocol module's wireless network signal, perform smoothing processing for the discontinuous characteristics of the signal, and dynamically adjust the sliding window size to obtain the time stability evaluation result. The steps are specifically as follows: S301: Using the optimized frequency-domain characteristic data set, apply the sliding window technique to perform time series analysis on the RedCap protocol module's wireless network signal. By adjusting the window size, continuously collect the frequency-domain characteristics of the signal at different time points, identify the changes and fluctuations of the signal on the time axis, and obtain the time series analysis data; S302: Through the time series analysis data, perform smoothing processing on the RedCap protocol module's wireless network signal, avoid the incoherence and jumps of the signal, and dynamically adjust the size and overlap rate of the sliding window to obtain the signal smoothing processing record; S303: Using the signal smoothing processing record, check the consistency and stability of the processed signal in multiple windows, calculate the coefficient of variation and stability index of the signal in different time windows, and obtain the time stability evaluation result.

7. The method for converting wireless network signals of the 5G-based redcap protocol module according to claim 1, wherein Based on the time stability evaluation result, according to the propagation direction and intensity of the RedCap protocol module's wireless network signal, adjust the transmission angle and power of the antenna, analyze the spatial propagation path of the signal, and obtain the optimized spatial signal. The steps are specifically as follows: S401: Using the time stability evaluation result, analyze the intensity and changes of the RedCap protocol module's wireless network signal in different propagation directions, adjust the transmission angle of the antenna to match the optimal propagation path of the signal, optimize the signal coverage and intensity distribution, and obtain the antenna angle adjustment data; S402: Adjust the antenna transmission power based on the antenna angle adjustment data, adjust it according to the propagation distance and target area intensity requirements of the wireless network signal of the RedCap protocol module, verify the signal propagation efficiency and reception quality, and obtain the power adjustment record; S403: Utilize the power adjustment record to analyze the propagation path and coverage effect of the RedCap protocol module wireless network signal in space, and determine whether the adjusted antenna settings achieve the expected effect through on-site testing and signal propagation simulation analysis, obtaining the optimized space signal.

8. The method for converting wireless network signals of the 5G-based redcap protocol module according to claim 1, wherein The steps of designing and implementing an inter-layer coordination mechanism using the optimized space signal, adjusting multi-layer parameters for optimal signal transmission efficiency, matching changes in network conditions, and performing signal conversion for different devices and network configurations to obtain the wireless network signal conversion result are specifically as follows: S501: Adopt the optimized space signal to design an inter-layer coordination mechanism, and by adjusting the parameters of the signal processing layer, including coding methods and modulation techniques, match the interfaces and communication requirements between different network layers to obtain multi-layer coordination adjustment data; S502: Based on the multi-layer coordination adjustment data, perform real-time analysis of the dynamic changes in wireless network conditions, including channel interference and network congestion, adjust the signal conversion parameters, and calculate the new signal transmission efficiency to obtain the optimized signal transmission efficiency value; S503: Utilize the optimized signal transmission efficiency value to perform targeted signal conversion for different devices and network configurations, and adjust the power output and spectrum allocation of the signal according to the different requirements of device reception capabilities and network configurations to obtain the wireless network signal conversion result.

9. The method for converting wireless network signals of the 5G-based redcap protocol module according to claim 8, wherein, The formula for calculating the new signal transmission efficiency is: ； Among them, represents the optimized signal transmission efficiency value, represents the old signal transmission efficiency value, is the absolute value 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. A 5G-based redcap protocol module wireless network signal conversion system, characterized in that, According to the method for converting a wireless network signal of a RedCap protocol module based on 5G according to any one of claims 1-9, the system includes: The spectrum analysis module collects the original 5G signal data, performs fine-grained analysis of the signal spectrum, identifies the noise baseline in the signal, and filters out the signal components outside the frequency range to obtain the denoised signal data; The frequency domain characteristic optimization module, based on the denoised signal data, uses Fourier transform to adjust the signal spectrum, optimize the bandwidth and frequency response of the RedCap protocol module, and obtain the optimized frequency domain data set; The stability analysis module uses the optimized frequency domain data set, applies the sliding window technique to analyze the time stability of the signal, smooth the characteristics of discontinuous signals, and dynamically adjust the window size to obtain the time stability evaluation result; The signal adjustment module, based on the time stability evaluation result, adjusts the transmission angle and power of the antenna, and analyzes the spatial propagation path of the RedCap protocol module wireless network signal to obtain the optimized result of the space signal; The coordination mechanism design module uses the optimized result of the space signal to adjust multi-layer parameters, evaluate the transmission efficiency of the optimal signal, match changes in network conditions, and establish the inter-layer coordination result; The signal processing module, based on the inter-layer coordination result, performs signal conversion, optimizes signal processing for different devices and network configurations, and obtains the wireless network signal conversion result.

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