Intelligent power management method and system based on 4G module

Abstract

The application relates to the field of power management, in particular to an intelligent power management method and system based on a 4G module, which monitors the real-time power of the internal power supply of the 4G module, obtains real-time power information of the 4G module, records the change form of the electrical parameter when the 4G module executes signal sending work, and takes the change form as electrical performance information, predicts the electrical performance of the 4G module when executing information sending work in a future time period based on the real-time power information and the electrical performance information, obtains performance prediction characteristics, and manages the rated voltage of the 4G module when executing signal sending work according to the performance prediction characteristics.

Description

Technical Field

[0001] This invention relates to the field of power management, specifically to an intelligent power management method and system based on a 4G module. Background Technology

[0002] When a 4G module is transmitting signals, its voltage drops significantly. The voltage after the drop needs to be higher than the rated voltage for the 4G module to successfully transmit signals. As the 4G module consumes power during standby, its voltage gradually decreases. Therefore, when the power consumption of the 4G module reaches a certain level, its voltage is insufficient to support the 4G module to successfully transmit signals, and the working time of the 4G module cannot reach the theoretical optimal time. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent power management method and system based on a 4G module, which can solve the problems in the prior art.

[0004] This invention is achieved through the following technical solution: This invention provides an intelligent power management method based on a 4G module, comprising: Real-time power monitoring of the internal power supply of the 4G module is performed to obtain the real-time power information of the 4G module. Record the changes in electrical parameters when the 4G module performs signal transmission operations, as electrical performance information; Based on the real-time power information and the electrical performance information, the electrical performance of the 4G module when performing information transmission in the future time period is predicted to obtain performance prediction features; The rated voltage for 4G modules to perform signal transmission operations is managed based on the performance prediction characteristics.

[0005] This invention provides an intelligent power management system based on a 4G module, used to implement the intelligent power management method based on a 4G module as described in any one of the first aspects, comprising: The power monitoring module is used to monitor the internal power of the 4G module in real time and obtain the real-time power information of the 4G module. An electrical recording module is used to record the changes in electrical parameters when the 4G module performs signal transmission, as electrical performance information. The performance prediction module is used to predict the electrical performance of the 4G module when it performs information transmission in a future time period based on the real-time power information and the electrical performance information, and to obtain performance prediction features. The voltage management module is used to manage the rated voltage for the 4G module to perform signal transmission operations based on the performance prediction characteristics.

[0006] In summary, the beneficial effects of this invention are: This invention monitors the network load and usage scenario characteristics of 4G modules to accurately grasp their working status, records the power module's power consumption and predicts energy demand, and can plan power supply in advance. Based on preset strategies and analysis of multiple information sources, it dynamically adjusts the power distribution method, ensuring that 4G modules operate stably and efficiently in different scenarios to meet work requirements, while avoiding energy waste, reducing energy costs, extending device battery life and lifespan, and improving the overall system performance and economy. Attached Figure Description

[0007] For ease of explanation, the present invention will be described in detail below with reference to specific embodiments and accompanying drawings.

[0008] Figure 1 This is a schematic diagram illustrating the steps of an intelligent power management method based on a 4G module according to the present invention. Figure 2 This is a schematic diagram of the structure of an intelligent power management system based on a 4G module according to the present invention. Detailed Implementation

[0009] All features disclosed in this specification, or all steps in all disclosed methods or processes, may be combined in any way, except for mutually exclusive features and / or steps.

[0010] The following is combined Figure 1-2 The present invention will be described in detail below.

[0011] like Figure 1 As shown, the present invention provides an intelligent power management method based on a 4G module, comprising: S1: Monitor the internal power of the 4G module in real time to obtain the real-time power information of the 4G module; S2: Record the changes in electrical parameters when the 4G module performs signal transmission, as electrical performance information; S3: Based on the real-time power information and the electrical performance information, predict the electrical performance of the 4G module when it performs information transmission in the future time period to obtain performance prediction features; S4: Manage the rated voltage for 4G module signal transmission based on the performance prediction characteristics.

[0012] When a 4G module is transmitting signals, its voltage drops significantly. The voltage after the drop needs to be higher than the rated voltage for the 4G module to successfully transmit signals. As the 4G module consumes power during standby, its voltage gradually decreases. Therefore, when the power of the 4G module is depleted to a certain extent, its voltage is insufficient to support the 4G module to successfully transmit signals.

[0013] Therefore, in this invention, by recording the changes in electrical parameters when the 4G module performs signal transmission, as electrical performance information, the real-time power consumption of the internal power supply of the 4G module is monitored, and the real-time power consumption information of the 4G module is obtained.

[0014] By summarizing the voltage change patterns of the 4G module when performing signal transmission, the electrical performance information is analyzed. Then, based on real-time power information, the power status of the 4G module in the future time period is predicted, thereby obtaining the expected voltage of the 4G module in the future time period. The expected voltage is analyzed using the voltage change patterns to predict the electrical performance of the 4G module when performing information transmission in the future time period, and to determine whether the signal transmission will be successful in the future time period. If the predicted result is unsuccessful, the rated voltage will be reduced accordingly at a specified time to ensure the successful operation of the 4G module.

[0015] The internal power of the 4G module is monitored in real time by power monitoring circuits or sensors. These monitoring devices periodically collect power data and convert it into digital signals to be transmitted to the control system. A power meter chip can be used, which can accurately measure parameters such as the remaining power, voltage, and current of the battery. The data is sent to the microcontroller through communication interfaces such as I2C or SPI. After receiving the data, the control system processes and stores it to obtain the real-time power information of the 4G module. This information can be presented in the form of numerical values, charts, etc.

[0016] Voltage sensors are used to continuously record the voltage parameters of the 4G module at various times. These parameters are arranged in chronological order, and a voltage monitoring curve is generated using data processing software. The voltage value is recorded every 100 milliseconds, and then these values ​​are plotted on a coordinate system to form a curve reflecting the change of voltage over time. By monitoring the signal transmission control pins or related communication protocols of the 4G module, the time nodes for its signal transmission are determined and marked accordingly on the voltage monitoring curve.

[0017] By analyzing the voltage monitoring curve based on the markers, the changing patterns of electrical parameters when the 4G module performs signal transmission are identified, such as the voltage fluctuation amplitude and rate of change. This allows us to obtain electrical performance information of the 4G module during each signal transmission operation. The analysis reveals that the voltage drops by a certain amount each time a signal is transmitted, and then gradually recovers. The specific parameters of this change process are recorded.

[0018] By conducting in-depth analysis of the recorded electrical performance information and employing methods such as data mining and machine learning, we identified the patterns of electrical parameter changes when the 4G module performs signal transmission, summarized the electrical change patterns, and discovered through the analysis of a large amount of historical data that voltage changes exhibit periodic fluctuations, and the amplitude of these fluctuations is related to the frequency and intensity of signal transmission.

[0019] Based on real-time power information and the standby power consumption characteristics of the 4G module, a power prediction model is established to predict the standby power consumption of the 4G module in the future time period, and the power prediction curve of the 4G module in the future time period is obtained. Assuming that the standby power consumption of the 4G module is a constant value, the power change in the future period can be predicted based on the current power and time.

[0020] Based on the electrical change pattern, electrical change simulation is performed on the power prediction parameters at each time node on the power prediction curve to obtain the corresponding electrical change parameters. Then, these electrical change parameters are matched and analyzed according to the rated voltage to determine whether the 4G module has successfully performed signal transmission. The results of each judgment are combined to obtain the performance prediction characteristics. If the simulated voltage value is lower than the lower limit of the rated voltage, the signal transmission operation is judged to have failed.

[0021] The performance prediction characteristics are analyzed to extract key information, such as the success or failure of signal transmission and the time of failure, to obtain feedback content. If the feedback indicates that all signal transmission operations in the future time period are successful, the rated voltage of the 4G module for signal transmission operations remains unchanged. If the feedback indicates that signal transmission operations in the future time period fail, the performance prediction characteristics are analyzed to determine the earliest time of signal transmission failure in the future time period. Based on this earliest time, a management scheme for the rated voltage of the 4G module is generated, and the rated voltage of the 4G module is managed at a specified time according to the management scheme.

[0022] By predicting the future electrical performance of 4G modules and intelligently managing their rated voltage, the voltage can be adjusted in a timely manner to avoid signal transmission failures due to insufficient voltage, thereby improving the success rate of signal transmission and ensuring communication stability. Based on the actual power consumption and electrical performance of the 4G modules, the rated voltage can be rationally adjusted to avoid unnecessary high-voltage operation, reduce power consumption, extend the working time of the 4G modules, and improve power efficiency. This method can also detect potential signal transmission problems in advance and take corresponding preventative and resolving measures, reducing the incidence of system failures and enhancing the reliability and stability of the entire 4G communication system. Utilizing real-time monitoring, data analysis, and prediction technologies, this method achieves intelligent management of the 4G module power supply, reducing manual intervention and improving the accuracy and timeliness of management.

[0023] In one embodiment of the present invention, the step of recording the changes in electrical parameters when the 4G module performs signal transmission as electrical performance information includes: S11: Continuously record the voltage parameters of the 4G module at each moment, and arrange the voltage parameters at each moment in time sequence to generate a voltage monitoring curve. S12: Mark the voltage monitoring curve accordingly based on the time node when the 4G module performs signal transmission. S13: Based on the markers, analyze the changes in electrical parameters of the 4G module when it performs signal transmission operation on the voltage monitoring curve to obtain the electrical performance information of the 4G module during each signal transmission operation.

[0024] Select a suitable voltage sensor whose range can cover the voltage range that occurs when the 4G module is operating, and has sufficient accuracy to accurately measure the voltage value. Connect the voltage sensor to the power output terminal of the 4G module, ensuring a stable and reliable connection to avoid measurement errors caused by poor contact. At the same time, connect the sensor's output interface to a data acquisition device (such as a microcontroller, data acquisition card, etc.).

[0025] Set an appropriate sampling frequency based on the characteristics of 4G module signal transmission and the rate of change of electrical parameters. Generally, for situations with high signal transmission frequency and rapid changes in electrical parameters, the sampling frequency should be set higher, such as 100 times per second or higher. For situations with relatively slow changes, the sampling frequency can be appropriately reduced, such as 10 times per second. The data acquisition device continuously collects the voltage parameters of the 4G module at various times according to the set sampling frequency and converts the collected analog voltage signals into digital signals for storage.

[0026] Data processing software (such as MATLAB, Python libraries, etc.) is used to arrange the collected voltage data in chronological order. The data is plotted as a curve with time on the horizontal axis and voltage on the vertical axis, thus generating a voltage monitoring curve.

[0027] The timing of signal transmission can be determined by monitoring the control signals or communication protocols of the 4G module. For example, some 4G modules output a high-level signal as a trigger signal before signal transmission. The start time of signal transmission can be determined by detecting the rising edge of this signal. Alternatively, the signal transmission time can be determined by analyzing the communication data between the 4G module and external devices, based on specific protocol formats and instructions. On the generated voltage monitoring curve, different colors, symbols, or line styles are used to mark the determined signal transmission time points. For example, a red circle is used to mark the start time of signal transmission, and a blue square is used to mark the end time, so as to clearly identify the time period of signal transmission.

[0028] Based on the marked signal transmission time nodes, the corresponding time period on the voltage monitoring curve is selected as the analysis interval. This ensures that the selected interval includes the complete voltage change process during signal transmission. The voltage data within the analysis interval is processed to extract key electrical parameter change characteristics, such as voltage peak, valley, average, and rate of change. The change patterns of these parameters are analyzed. For example, it is observed whether the voltage rises first and then falls, or continues to fall, during signal transmission. By comparing the parameter changes during different signal transmissions, the change patterns of electrical parameters when the 4G module performs signal transmission are summarized. The extracted and analyzed electrical parameter change characteristics and patterns are organized to form electrical performance information of the 4G module during each signal transmission operation, and recorded in the form of data tables, text descriptions, or curve feature summaries.

[0029] By continuously recording voltage parameters and generating voltage monitoring curves, detailed information on voltage changes over time during 4G module operation can be obtained. This data provides a solid foundation for subsequent analysis and decision-making, helping to gain a deeper understanding of the electrical characteristics and operating status of the 4G module. Marking signal transmission time points on the voltage monitoring curve clearly correlates voltage changes with signal transmission operations. This allows analysts to accurately focus on voltage changes during signal transmission, avoiding interference from other irrelevant time periods, thus improving the accuracy and relevance of the analysis. Analyzing the marked voltage monitoring curves allows for the summarization of the patterns and variations in electrical parameters during 4G module signal transmission. These patterns can be used to predict future electrical performance during signal transmission, providing important basis for optimizing 4G module power management and improving signal transmission success rates. By comparing and analyzing electrical performance information from multiple signal transmissions, abnormal situations in the 4G module during signal transmission, such as excessive voltage fluctuations or excessively low voltage, can be detected in a timely manner. This aids in fault diagnosis and troubleshooting. Furthermore, the analysis results can be used to optimize the 4G module's power circuitry and signal transmission strategies, improving its performance and stability.

[0030] In one embodiment of the present invention, the step of predicting the electrical performance of a 4G module when it performs information transmission in a future time period based on the real-time power information and the electrical performance information, and obtaining the performance prediction characteristics, includes: S21: Based on the electrical performance information, analyze the pattern of electrical parameter changes of the 4G module when performing signal transmission to obtain the electrical change pattern of the 4G module when performing signal transmission. S22: Based on the real-time power information, predict the standby consumption of the 4G module for a future time period to obtain the power prediction curve of the 4G module for a future time period. S23: Based on the electrical change pattern, simulate the electrical performance of the 4G module when it performs information transmission at each time node in the future time period to obtain the performance prediction characteristics.

[0031] Data mining techniques (such as cluster analysis and association rule mining) are used to conduct in-depth analysis of electrical performance information to identify the patterns of electrical parameter changes when the 4G module performs signal transmission. For example, cluster analysis can classify different electrical parameter change patterns into several categories, each representing a typical change pattern. Combined with statistical methods, statistical indicators such as the mean, variance, and correlation of electrical parameters are calculated to further describe and quantify these change patterns. Based on the mined patterns, the electrical change patterns when the 4G module performs signal transmission are summarized. For example, it is found that the voltage drops rapidly first and then rises slowly each time a signal is transmitted, and the magnitude of the drop and rise is related to the signal strength. This pattern is summarized as an electrical change pattern.

[0032] This study analyzes the standby power consumption characteristics of 4G modules, considering factors such as hardware composition and operating mode, and establishes a standby power consumption model. The standby power consumption of 4G modules under different conditions (such as different temperatures and operating frequencies) can be measured experimentally. Then, regression analysis and other methods are used to fit the functional relationship between standby power consumption and related factors. Based on real-time power consumption information and the established standby power consumption model, the standby power consumption of 4G modules in future time periods can be predicted. Considering future changes in environmental conditions (such as temperature and humidity), the model can be corrected by incorporating weather forecasts and other information. With time as the horizontal axis and power consumption as the vertical axis, the predicted power consumption at each future time point is plotted as a curve, resulting in the power consumption prediction curve for the 4G module in future time periods.

[0033] The electrical change patterns are mapped to time points on the power prediction curve. Based on the power prediction parameters at each time point on the power prediction curve, and combined with the electrical change patterns, the changes in electrical parameters during signal transmission at that time point are predicted. For example, when the power is within a certain range, the voltage drop and recovery rate during signal transmission are predicted based on the electrical change patterns. Using simulation software or algorithms, the electrical performance of the 4G module during information transmission at each time point in the future time period is simulated based on the mapped electrical parameter changes. The simulation process considers the mutual influence and dynamic changes between electrical parameters. For example, when simulating voltage changes, the influence of factors such as current and capacitance on voltage is considered. Circuit simulation software is used for simulation. The electrical performance results at each time point obtained from the simulation are organized and analyzed to extract key features (such as voltage fluctuation range, current peak, etc.) to form performance prediction features. These features can be presented in the form of data tables, charts, etc.

[0034] By analyzing electrical change patterns and predicting future power consumption, the electrical performance of 4G modules during information transmission can be foreseen in advance. This helps to identify potential problems in a timely manner, such as signal transmission failure due to low voltage, allowing for appropriate preventative and remedial measures. Based on the predicted performance characteristics, the power supply of 4G modules can be optimized. For example, if a voltage shortage is predicted at a future point in time, the power output voltage can be adjusted in advance or other energy-saving measures can be taken to ensure smooth signal transmission and improve power efficiency. By simulating and predicting the electrical performance of 4G modules, problems can be identified and resolved in advance, reducing the probability of signal transmission failure and improving the reliability and stability of the entire 4G communication system. The predicted performance characteristics provide important decision-making basis for system administrators and engineers. They can rationally arrange the working tasks of 4G modules and adjust operating parameters based on the prediction results, thereby optimizing system performance and resource utilization.

[0035] In one embodiment of the present invention, the step of simulating the electrical performance of the 4G module performing information transmission at various time points in the future time period based on the electrical change pattern to obtain the performance prediction characteristics includes: S31: Based on the electrical change mode, perform electrical change simulation on the power prediction parameters at each time node on the power prediction curve to obtain the electrical change parameters corresponding to each power prediction parameter; S32: Perform matching analysis on the electrical change parameters based on the rated voltage to determine whether the 4G module has successfully performed signal transmission. Combine the results of each judgment to obtain the performance prediction characteristics.

[0036] To gain a deeper understanding of electrical change patterns, it is crucial to clarify the relationship between various electrical parameters (such as voltage, current, and power) and electrical quantities. For example, in the electrical change patterns analyzed previously, the magnitude and rate of voltage drop during signal transmission differ when the electrical quantity is in different ranges. By mapping the electrical quantity prediction parameters at each time point on the electrical quantity prediction curve to the electrical change patterns, the electrical change rules corresponding to each electrical quantity prediction parameter can be determined.

[0037] Based on the established correlation and electrical change rules, electrical change simulation calculations are performed on the power prediction parameters at each time point on the power prediction curve. For example, if the relationship between power and voltage drop is known to be linear, the corresponding voltage drop is calculated based on the power prediction value at each time point.

[0038] For complex electrical change patterns, numerical calculation methods or simulation software are required for simulation. For example, circuit simulation software (such as Multisim) can be used to set the corresponding power parameters according to the power prediction parameters to simulate the electrical performance of the 4G module during signal transmission and obtain the electrical change parameters (such as the change curves of voltage and current over time) corresponding to each power prediction parameter.

[0039] Define the rated voltage range within which the 4G module can successfully transmit signals. This range is usually determined by the 4G module's technical specifications or actual testing. Compare and analyze the electrical change parameters (mainly voltage parameters) obtained from simulation at each time point with the rated voltage range to determine whether the voltage at each time point is within the rated voltage range. If it is within the range, the signal transmission is considered successful; if it is outside the range, it is considered a failure.

[0040] The judgment results at each time point are combined to form performance prediction features. The judgment results can be recorded in tabular form, including information such as time point, voltage value, and judgment result (success or failure); or they can be displayed in graphical form, such as using different colors to mark the time points of success and failure.

[0041] By simulating and matching the electrical performance at various future time points, the success rate of 4G modules in signal transmission under different power conditions can be accurately predicted. This helps to identify potential signal transmission failure risks in advance, providing a basis for subsequent power management and signal optimization. Based on the predicted performance characteristics, more reasonable power management strategies can be formulated. For example, if it is predicted that multiple signal transmission failures will occur due to insufficient power within a certain period, measures can be taken in advance, such as adjusting the power supply output voltage and reducing other unnecessary power consumption, to ensure the normal operation of signal transmission.

[0042] Timely detection and resolution of signal transmission problems can reduce the number of signal transmission failures and improve the reliability and stability of the entire 4G communication system. This is especially important for devices and systems that rely on 4G communication (such as IoT devices and mobile terminals). By predicting signal transmission conditions in advance, equipment failures and maintenance costs caused by signal transmission failures can be avoided. Targeted equipment maintenance and optimization can be carried out to improve operational efficiency and reduce operational costs.

[0043] In one embodiment of the present invention, the step of managing the rated voltage for signal transmission operation of a 4G module based on the performance prediction characteristics includes: S41: Analyze the performance prediction features to obtain the feedback content of the performance prediction features; S42: If the feedback indicates that all signal transmission operations in the future time period are successful, then the rated voltage for the 4G module to perform signal transmission operations remains unchanged. S43: If the feedback content indicates that signal transmission will fail in the future time period, the performance prediction characteristics are analyzed to obtain the earliest time when signal transmission will fail in the future time period, and a management scheme for the rated voltage of the 4G module is generated based on the earliest time, so as to manage the rated voltage of the 4G module at a specified time according to the management scheme.

[0044] Key information is extracted from the performance prediction features, such as the judgment results (success or failure) of signal transmission at each time point, the corresponding voltage values, and timestamps. This information exists in the form of tables, charts, or database records and needs to be extracted and organized using data processing tools (such as Excel, Python's Pandas library, etc.). The extracted information is then summarized and categorized to form the feedback content of the performance prediction features. The feedback content should clearly indicate whether all signal transmissions within the future time period were successful. If failures occurred, the general circumstances of the failures should also be clearly stated.

[0045] When the feedback indicates that all signal transmission operations for the future time period are successful, it is determined that the rated voltage setting of the current 4G module for signal transmission is reasonable and does not require adjustment. The rated voltage is kept constant. The control system can send instructions to the power management module to maintain the current voltage output. A thorough analysis of the performance prediction characteristics is conducted to identify the earliest time point in the future time period where signal transmission failure is expected. This can be done by iterating through the result records to find the first timestamp marked as a failure. Based on the earliest failure time, combined with the electrical characteristics and operational requirements of the 4G module, a rated voltage management plan is generated. This plan includes the magnitude and timing of voltage adjustments. For example, if a signal transmission failure is expected in 12 minutes, the rated voltage can be reduced by a specified amount at 8 minutes. According to the generated management plan, the rated voltage of the 4G module is managed at the specified time. This voltage adjustment can be achieved through the power management module (such as a voltage regulator), while simultaneously monitoring the effect of the voltage adjustment to ensure normal signal transmission.

[0046] By analyzing performance prediction characteristics and managing the corresponding rated voltage, the voltage can be adjusted in a timely manner to cope with signal transmission failures, thereby improving the success rate of 4G module signal transmission in the future and ensuring communication stability. When all signal transmissions are successful, the rated voltage remains unchanged, avoiding unnecessary voltage adjustments, reducing additional power losses, and improving power efficiency. When there is a risk of failure, the voltage can be adjusted in a targeted manner to ensure successful signal transmission without excessively reducing the voltage, further optimizing power usage.

[0047] Timely detection and resolution of potential signal transmission problems reduces the probability of signal transmission failure due to insufficient voltage, enhancing the reliability and stability of the entire 4G communication system. This is particularly important for devices and applications that rely on 4G communication (such as IoT devices and mobile payment terminals), reducing losses caused by communication failures. This method automatically generates and implements rated voltage management schemes based on performance prediction characteristics, achieving intelligent power management of 4G modules, reducing manual intervention, improving the accuracy and timeliness of management, and adapting to complex and changing working environments and communication needs.

[0048] like Figure 2 As shown, the present invention provides an intelligent power management system based on a 4G module, used to implement the intelligent power management method based on a 4G module as described in any one of the first aspects, comprising: The power monitoring module is used to monitor the internal power of the 4G module in real time and obtain the real-time power information of the 4G module. An electrical recording module is used to record the changes in electrical parameters when the 4G module performs signal transmission, as electrical performance information. The performance prediction module is used to predict the electrical performance of the 4G module when it performs information transmission in a future time period based on the real-time power information and the electrical performance information, and to obtain performance prediction features. The voltage management module is used to manage the rated voltage for the 4G module to perform signal transmission operations based on the performance prediction characteristics.

[0049] In this embodiment, the specific implementation of each module in the above system embodiment is described in the above method embodiment, and will not be repeated here.

[0050] The above description is merely a specific embodiment of the invention, but the scope of protection of the invention is not limited thereto. Any changes or substitutions conceived without creative effort should be included within the scope of protection of the invention.

Claims

1. A smart power management method based on a 4G module, characterized in that, include: Real-time power monitoring of the internal power supply of the 4G module is performed to obtain the real-time power information of the 4G module. Record the changes in electrical parameters when the 4G module performs signal transmission operations, as electrical performance information; Based on the real-time power information and the electrical performance information, the electrical performance of the 4G module when performing information transmission in the future time period is predicted to obtain performance prediction features; The rated voltage for 4G modules to perform signal transmission operations is managed based on the performance prediction characteristics.

2. The intelligent power management method based on a 4G module as described in claim 1, characterized in that, The steps for recording the changes in electrical parameters of the 4G module during signal transmission as electrical performance information include: The voltage parameters of the 4G module are continuously recorded at each moment, and the voltage parameters at each moment are arranged in time sequence to generate a voltage monitoring curve. According to the time node when the 4G module performs signal transmission, make corresponding marks on the voltage monitoring curve; Based on the markers, the electrical parameters of the 4G module are analyzed when it performs signal transmission operations, so as to obtain the electrical performance information of the 4G module during each signal transmission operation.

3. The intelligent power management method based on a 4G module as described in claim 1, characterized in that, The steps for predicting the electrical performance of a 4G module when it performs information transmission in a future time period based on the real-time power information and the electrical performance information, and obtaining the performance prediction characteristics, include: Based on the electrical performance information, the electrical parameter changes of the 4G module during signal transmission are analyzed to obtain the electrical change pattern of the 4G module during signal transmission. Based on the real-time power information, the standby consumption of the 4G module in the future time period is predicted to obtain the power prediction curve of the 4G module in the future time period. Based on the electrical change pattern, the electrical performance of the 4G module when performing information transmission at various time points in the future time period is simulated on the power prediction curve to obtain performance prediction characteristics.

4. The intelligent power management method based on a 4G module as described in claim 1, characterized in that, The steps for simulating the electrical performance of the 4G module when performing information transmission at various time points in the future time period based on the electrical change pattern to obtain the performance prediction characteristics include: Based on the electrical change pattern, the electrical change of the power prediction parameters at each time point on the power prediction curve is simulated to obtain the electrical change parameters corresponding to each power prediction parameter. The electrical variation parameters are matched and analyzed based on the rated voltage to determine whether the 4G module has successfully performed signal transmission. The results of each judgment are combined to obtain the performance prediction characteristics.

5. The intelligent power management method based on a 4G module as described in claim 1, characterized in that, The steps for managing the rated voltage for 4G modules to perform signal transmission operations based on the performance prediction characteristics include: The performance prediction features are parsed to obtain the feedback content of the performance prediction features; If the feedback indicates that all signal transmission operations in the future time period are successful, then the rated voltage for the 4G module to perform signal transmission operations remains unchanged. If the feedback indicates that signal transmission will fail in the future time period, the performance prediction characteristics are analyzed to obtain the earliest time when signal transmission will fail in the future time period. Based on the earliest time, a management scheme for the rated voltage of the 4G module is generated, and the rated voltage of the 4G module is managed at a specified time according to the management scheme.

6. A smart power management system based on a 4G module, characterized in that, A method for implementing a smart power management system based on a 4G module as described in any one of claims 1-5 includes: The power monitoring module is used to monitor the internal power of the 4G module in real time and obtain the real-time power information of the 4G module. An electrical recording module is used to record the changes in electrical parameters when the 4G module performs signal transmission, as electrical performance information. The performance prediction module is used to predict the electrical performance of the 4G module when it performs information transmission in a future time period based on the real-time power information and the electrical performance information, and to obtain performance prediction features. The voltage management module is used to manage the rated voltage for the 4G module to perform signal transmission operations based on the performance prediction characteristics.

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