Wireless network card power adaptive control method and system
By constructing an interference intensity distribution map and optimizing the power configuration scheme, the problem of interference chain reaction of wireless devices in complex network environments was solved, and adaptive power adjustment between devices was realized, thereby improving network stability and communication quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-04
- Publication Date
- 2026-03-10
AI Technical Summary
In complex network environments, the power adjustment of existing wireless devices can easily trigger a chain reaction of interference, leading to network instability. Existing technologies have not been able to effectively solve the problem of power adjustment linkage between devices.
By acquiring real-time interference data, constructing spectrum change and interference intensity distribution maps, identifying overlapping interference areas, performing power optimization calculations and adjustments, combining historical databases for deviation assessment and synchronization configuration, generating a final adjustment command set, and realizing adaptive power adjustment between devices.
It improves the accuracy and response speed of interference hotspot identification in complex wireless environments, avoids energy waste and network instability caused by indiscriminate adjustments, and significantly improves interference stability and communication quality in scenarios with multiple devices coexisting.
Smart Images
Figure CN121645504A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of modern communication technology, and in particular to a wireless network card power adaptive control method and system. BACKGROUND
[0002] With the large deployment of wireless communication devices and the continuous rise of terminal data demand, network performance guarantee in complex environment has gradually become the focus of the industry. In high-density access scenarios such as intelligent office buildings, subway stations, supermarkets and industrial plants, there is signal overlap and resource competition between multiple wireless access nodes, and the power setting is directly related to the communication quality, interference intensity and overall network energy consumption.
[0003] The power control method of the existing wireless device is based on local perception for single-point adjustment. The device independently decides the increase or decrease of the transmission power according to its own received signal strength or interference condition, without fully considering the real-time state of the surrounding devices and the linkage effect of power adjustment. This method has the advantages of fast response and simple deployment in low-density deployment scenarios, and can improve the coverage and anti-interference ability of a single device in the short term. However, in a dense device or complex interference network environment, this method is easy to trigger a chain reaction of power adjustment. The power change of a device may cause the neighboring devices to misjudge, thereby triggering continuous adjustment, causing imbalance of network power level and intensifying interference.
[0004] In summary, the existing technology has the problem of device power adjustment triggering interference chain reaction and leading to instability of the overall system in a complex network environment. SUMMARY
[0005] The present application provides a wireless network card power adaptive control method and system to solve the problem of device power adjustment triggering interference chain reaction.
[0006] In a first aspect, to solve the above technical problems, the present application provides a wireless network card power adaptive control method, comprising: obtaining real-time interference data; performing spectrum change according to the real-time interference data to obtain an interference intensity distribution map; performing interference correlation analysis and power optimization calculation according to the interference intensity distribution map to obtain a power configuration scheme; performing parameter update according to the power configuration scheme to obtain a preliminary power correction result; performing interference comparison and evaluation according to the preliminary power correction result to obtain deviation information; performing power optimization according to the deviation information to obtain an optimized power configuration scheme; performing synchronous configuration and index feedback analysis according to the optimized power configuration scheme to obtain a final adjustment command set.
[0007] Preferably, the spectrum change according to the real-time interference data to obtain an interference intensity distribution map comprises: The real-time interference data is converted into a frequency domain distribution feature map by using a fast Fourier transform; The interference intensity distribution map is obtained by intensity layering, outlier removal and color coding according to the frequency domain distribution feature map.
[0008] Preferably, the interference correlation analysis and power optimization calculation according to the interference intensity distribution map to obtain a power configuration scheme comprises: The signal coverage range of each device is obtained; The interference overlapping area is identified based on the signal coverage range in combination with the interference intensity distribution map to obtain the interference overlapping area; The interference overlapping area is detected, and if the signal strength of a certain device in the interference overlapping area exceeds a preset interference threshold, it is judged that the device constitutes interference to a neighboring device, and the interference influence value corresponding to the device is recorded; The devices with the interference influence value greater than a preset trigger threshold are screened out to form a list of devices to be adjusted; The power configuration scheme is obtained by power change calculation according to the list of devices to be adjusted.
[0009] Preferably, the parameter update according to the power configuration scheme to obtain a preliminary power correction result comprises: The power adjustment parameter of the target device is extracted from the power configuration scheme to determine the corresponding adjustment value interval; The update instruction for controlling the power of the target device is generated based on the adjustment value interval; The instruction is issued and feedback is obtained according to the update instruction to obtain the preliminary power correction result.
[0010] Preferably, the interference comparison and evaluation according to the preliminary power correction result to obtain deviation information comprises: The historical database is obtained, and the interference reference value is obtained based on the historical database; The difference calculation is performed according to the preliminary power correction result and the interference reference value to obtain an interference intensity difference value; The deviation information is obtained by recording the deviation and classification according to the interference intensity difference value.
[0011] Preferably, the power optimization according to the deviation information to obtain an optimized power configuration scheme comprises: The running state data and the environmental variable data are extracted based on the deviation information; According to the operation state data and the environmental variable data, a power adjustment calculation is performed to obtain a recommended power output value; Based on the recommended power output value, a power adjustment interval is constructed, and fine tuning is performed on the power adjustment interval to obtain an optimized power configuration scheme.
[0012] Preferably, according to the optimized power configuration scheme, a synchronization configuration and index feedback analysis are performed to obtain a final adjustment command set, including: The optimized power configuration scheme is executed, power execution feedback data after execution is collected, and a preliminary judgment of a synchronization state is made according to the power execution feedback data; According to the synchronization state, a secondary calibration is performed to obtain a calibration result; According to the calibration result, a stability analysis is performed to obtain a matching configuration parameter set; According to the matching configuration parameter set, an adjustment command is generated to obtain a final adjustment command set.
[0013] In a second aspect, the present application provides a wireless network card power adaptive control system, comprising: A data acquisition module is configured to acquire real-time interference data; An interference intensity distribution map module is configured to perform frequency spectrum changes according to the real-time interference data to obtain an interference intensity distribution map; A power configuration scheme module is configured to perform interference correlation analysis and power optimization calculation according to the interference intensity distribution map to obtain a power configuration scheme; A preliminary power module is configured to perform parameter updating according to the power configuration scheme to obtain a preliminary power correction result; A deviation information module is configured to perform interference comparison and evaluation according to the preliminary power correction result to obtain deviation information; A configuration scheme module is configured to perform power optimization according to the deviation information to obtain an optimized power configuration scheme; An adjustment command module is configured to perform synchronization configuration and index feedback analysis according to the optimized power configuration scheme to obtain a final adjustment command set.
[0014] In a third aspect, the present application further provides an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the wireless network card power adaptive control method of any one of the above.
[0015] Fourthly, the present invention also provides a computer-readable storage medium comprising a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform the wireless network card power adaptive control method described in any one of the above.
[0016] Compared with the prior art, the present invention has the following beneficial effects: (1) Based on real-time interference data, the present invention performs frequency domain conversion and intensity map construction, which can quickly reflect the interference distribution status of different frequency bands in the wireless environment and improve the identification accuracy and response speed of interference hotspots in complex wireless environments.
[0017] (2) By identifying overlapping interference areas and evaluating interference impact values, this invention can accurately screen out transmitting equipment that causes significant interference to surrounding equipment, thus avoiding energy waste and network instability caused by indiscriminate adjustments.
[0018] (3) By constructing the power adjustment range and performing step fine-tuning calculation, this invention achieves fine adjustment of power output and effectively suppresses boundary interference overflow by minimizing the interference impact value while ensuring coverage capability. This significantly improves interference stability and communication quality in multi-device coexistence scenarios.
[0019] (4) In the final adjustment command generation stage, the present invention combines power execution feedback and current fluctuation information to perform synchronization status judgment and secondary calibration, ensuring that all devices issue the final command in a convergent state, and avoiding chain interference adjustment problems caused by non-synchronization. Attached Figure Description
[0020] Figure 1 This is a schematic flowchart of the wireless network card power adaptive control method provided in the first embodiment of the present invention; Figure 2 This is a schematic diagram of the wireless network card power adaptive control system provided in the second embodiment of the present invention. Detailed Implementation
[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0022] Reference Figure 1 The first embodiment of the present invention provides a wireless network card power adaptive control method, including the following steps: S11, Obtain the interference intensity distribution map; S12, Based on the real-time interference data, perform spectrum changes to obtain an interference intensity distribution map; S13, Based on the interference intensity distribution map, perform interference correlation analysis and power optimization calculation to obtain a power configuration scheme; S14, Update the parameters according to the power configuration scheme to obtain the preliminary power correction result; S15, Based on the preliminary power correction results, perform interference comparison and evaluation to obtain deviation information; S16. Based on the deviation information, power optimization is performed to obtain an optimized power configuration scheme; S17. Based on the optimized power configuration scheme, perform synchronous configuration and indicator feedback analysis to obtain the final adjustment command set.
[0023] In step S11, real-time interference data is acquired.
[0024] It is worth noting that the peripheral device signal acquisition module continuously captures real-time interference data. For example, in a wireless network environment in an office building, the signal acquisition module is deployed in multiple key locations and can capture hundreds of megabytes of signal data per second. This real-time interference data includes interference signals from wireless routers, Bluetooth devices, and other electronic devices.
[0025] In step S12, based on the real-time interference data, a spectral change is performed to obtain an interference intensity distribution map, including: The real-time interference data is converted into a frequency domain distribution feature map using the Fast Fourier Transform. Based on the frequency domain distribution feature map, intensity stratification, outlier removal, and color coding are performed to obtain the interference intensity distribution map.
[0026] It is worth noting that the real-time interference data is converted into a frequency domain distribution feature map using a Fast Fourier Transform (FFT). Specifically, the real-time interference data is discretely sampled at a sampling rate of 20 megabits per second. The acquired raw time-domain data is a voltage amplitude sequence containing continuous sampling points. For example, a sequence of 10,240 points can represent a time-domain signal of approximately 0.5 milliseconds.
[0027] To facilitate frequency domain analysis, the sequence was divided into 10 segments of 1024 points each, and a Hamming window function was applied to each segment to suppress windowing effects. After windowing, a Fast Fourier Transform (FFT) was performed on each segment, outputting 1024 complex frequency components. For example, the 513th frequency point after FFT in the first segment corresponds to a center frequency of approximately 2.402 GHz, with a complex frequency value of 0.04 + 0.12i and a corresponding power spectral density of 0.04² + 0.12² = 0.016.
[0028] The power spectral density is calculated for all 10 FFT results, and the results at the same frequency are aligned in time. For example, at a frequency of 2.402 GHz, the system combines the intensity values of the 10 time slices to obtain the energy distribution that changes with time at that frequency.
[0029] Finally, the system uses frequency (e.g., 2.360 GHz to 2.480 GHz, divided into 1024 frequency points) as the horizontal axis and time as the vertical axis to construct a two-dimensional matrix, which serves as the frequency domain distribution feature map. Each cell in the frequency domain distribution feature map stores the signal strength value (in dBm) of the corresponding frequency point and time slice.
[0030] Next, the frequency domain distribution feature map is layered according to the frequency domain intensity value to obtain a preliminary interference intensity map, for example, -90~-70dBm is low, -70~-50dBm is medium, and greater than -50dBm is high.
[0031] Next, anomaly detection and removal are performed on the initial interference intensity graph. First, if the intensity value of a certain area is greater than -40dBm, it is judged as an anomaly and deleted.
[0032] The criteria for identifying anomalous regions here are derived as follows: A probability density estimation method is used to statistically analyze the signal strength of all sampling points and plot the intensity distribution curve. Statistical results show that the signal strength is mainly concentrated in the range of -88dBm to -60dBm, and the instances of signal strength above -50dBm are less than 0.8%, mostly caused by instantaneous jumps or equipment erroneous transmissions. A quantile analysis method is used to determine the upper limit of anomalies, selecting the 99.5th percentile as the upper limit threshold, corresponding to approximately -41.2dBm. Considering quantization error and processing margin, the anomaly intensity rejection threshold is set at -40dBm.
[0033] After detecting and removing abnormal areas, each area is color-coded according to its interference intensity: low interference intensity areas are marked in green, medium interference intensity areas are marked in yellow, and high interference intensity areas are marked in red, forming an intuitive interference intensity distribution map.
[0034] In step S13, based on the interference intensity distribution map, interference correlation analysis and power optimization calculations are performed to obtain a power configuration scheme, including: Obtain the signal coverage range of each device; Based on the signal coverage area and the interference intensity distribution map, interference overlap area is identified to obtain the interference overlap area; The interference overlap area is detected. If the signal strength of a device in the interference overlap area exceeds a preset interference threshold, it is determined that the device interferes with the neighboring device, and the interference impact value corresponding to the device is recorded. Devices whose interference impact value is greater than a preset trigger threshold are selected to form a list of devices to be adjusted. Based on the list of equipment to be adjusted, power change calculations are performed to obtain a power configuration scheme.
[0035] It is worth noting that, based on the interference intensity distribution map, the signal strength is extended outward from the center position of each device until it drops below the background noise level. This point is the farthest boundary point of the device's coverage, and the area between this point and the center position of the device is the signal coverage range of the device.
[0036] Subsequently, each point on the interference intensity distribution map is traversed. If the point falls within the coverage area of two or more devices, it is identified as a signal overlap point. Then, adjacent signal overlap points are recursively merged in the grid according to the four-adjacent rule. Continuously connected signal overlap points constitute an interference overlap area.
[0037] After identifying the overlapping interference area, the signal strength values of each device within the area are read point by point and compared. A preset interference threshold of -65dBm is used. If the signal strength of a device within the overlapping area exceeds this threshold, it is confirmed that the device is interfering with other devices in the same area. The interference impact on neighboring devices then needs to be calculated. First, the signal strength values within the overlapping interference area are extracted, and the arithmetic mean of all valid sampling points within that area is calculated to obtain the average transmission strength of the device in that area. Then, the total area covered by the overlapping interference area is calculated, with the area units accumulated according to the grid size. The average signal strength of this area is then converted to a linear power value (in milliwatts) and multiplied by the area of the region; this value represents the interference impact of the current device on neighboring devices.
[0038] For example, the interference overlap area between device A and device B comprises four grid points, each with a side length of 1 meter, and signal strengths of -57.2 dBm, -58.6 dBm, -55.9 dBm, and -60.4 dBm, respectively. The system first averages the signal strengths of the four points, obtaining -58.03 dBm. This value is then converted to a linear power value, calculated as 10 to the power of -5.803, approximately 1.574 microwatts. The total area of the overlap region is 4 square meters, therefore the final interference impact value is 1.574 × 4 = 6.296 μW·m².
[0039] The preset interference threshold was set based on the collection of 102,400 sets of sample data, followed by the establishment of a signal strength distribution map using a probability density estimation method. The distribution map showed that the overall signal strength followed a unimodal normal distribution, with a mean of -75.2 dBm and a standard deviation of 5.8 dB. The interference threshold was set as the mean plus twice the standard deviation, i.e., -75.2 + 2 × 5.8 = -63.6 dBm. However, considering the actual measurement accuracy error of the equipment and deployment margin, this value was ultimately rounded down and fixed at -65 dBm.
[0040] The preset trigger threshold is 5 microwatts. Devices exceeding this threshold are included in the list of devices to be adjusted.
[0041] The trigger threshold was set based on a normal distribution fitting of 10,000 sets of interference impact values between devices, with the 98th percentile used as the reference value for anomaly detection. Statistical analysis showed that the interference impact value corresponding to this percentile was 4.73 microwatts. Considering the impact of measurement error and calculation accuracy, the system rounded this value up to 5 microwatts and set it as the trigger threshold.
[0042] After obtaining the list of devices to be adjusted, a step-by-step method was used to adjust the transmit power of each device. Specifically, the power adjustment range was limited to a fluctuation of no more than ±6dBm above and below the current value, and the power was increased or decreased in increments of 1dBm, with the change in interference impact value corresponding to each level calculated. Subsequently, the power that meets the minimum coverage area (50 square meters) while having the lowest interference impact value was selected as the optimal power for that device and written into the power configuration scheme.
[0043] For example, a device initially transmits at 23 dBm, causing interference of 6.2 microwatts and 4.8 microwatts to two adjacent devices. The system adjusts the device's power to 22, 21, 20, and 19 dBm respectively, and recalculates the interference impact. When the power is adjusted to 20 dBm, the impact on the two devices decreases to 3.1 microwatts and 2.4 microwatts, and the signal coverage still meets the requirement of more than 50 square meters. Therefore, 20 dBm is recorded as the optimal power level for this device and written into the power configuration scheme.
[0044] In step S14, parameters are updated according to the power configuration scheme to obtain preliminary power correction results, including: Extract the power adjustment parameters of the target device from the power configuration scheme, and determine the corresponding adjustment value range; Based on the adjusted value range, an update instruction for controlling the power of the target device is generated; Based on the update instruction, instructions are issued and feedback is performed to obtain preliminary power correction results.
[0045] It's worth noting that, taking a wireless access device in an office building as an example, data shows that the device's current power is 22dBm, its interference impact is 7.6μW, and its signal coverage is approximately 45 square meters. In the power configuration scheme, the optimal power for this device is 24dBm. Subsequently, a standard-format update command is constructed using a command generation program. This command includes the device's unique identifier, the target power value (e.g., 24dBm), the effective time of the control command, and the feedback channel. This command is then sent to the target device via the communication link. After executing the command, the target device obtains its operating status. The device reports that its power has been updated to 24dBm, its signal coverage has expanded to 50 square meters, and its interference impact on nearby devices has decreased to 5.3 microwatts. The difference in operating status data before and after the power adjustment is output as the preliminary power correction result.
[0046] In step S15, based on the preliminary power correction results, an interference comparison evaluation is performed to obtain deviation information, including: Obtain a historical database, and based on the historical database, obtain an interference baseline value; Based on the preliminary power correction result and the interference reference value, the difference is calculated to obtain the interference intensity difference value; Based on the difference in interference intensity, the deviation is recorded and classified to obtain deviation information.
[0047] It is worth noting that, firstly, interference data of the device at different power levels is retrieved from the historical database. For example, if the target device was running at 24dBm power in a past operation and its average interference impact value was 4.3 microwatts, then this value is used as the interference reference value at the current target power of 24dBm.
[0048] The historical database is automatically built through multiple power adjustments and interference assessments during equipment operation. Specifically, in each round of power parameter issuance and feedback collection, the current power value of the equipment, the corresponding interference impact value, operating time, spatial location, and network load are recorded and stored in a structured format as power-interference pairs. Furthermore, the daily collection frequency is no less than 48 rounds, each round covering all online equipment, and outliers are removed using a median filtering method. After outlier removal, the data is stored in the historical database.
[0049] Then, the preliminary power correction result is read. If the target device is running at 24dBm (optimal power) and the interference impact on the neighboring device is 5.3 microwatts, the difference is calculated as 5.3 microwatts minus 4.3 microwatts equals 1 microwatt, and this value is output as the interference intensity difference value.
[0050] Next, if the difference in interference intensity exceeds a preset deviation threshold of 0.5 microwatts, the device's time and location information is recorded, for example, 9:45 AM, south side of the office area. This time and location information, along with the difference in interference intensity, is summarized as deviation information.
[0051] The deviation threshold here is set based on the statistical analysis of the interference impact values of all target devices during the power correction stabilization phase, with a standard deviation σ of 0.14 microwatts. The deviation threshold is set to ±3σ, meaning that a deviation exceeding 0.42 microwatts is considered a high-confidence anomaly. However, considering that the system needs to have a certain error tolerance, this threshold is increased to 0.5 microwatts.
[0052] In step S16, power optimization is performed based on the deviation information to obtain an optimized power configuration scheme, including: Based on the aforementioned deviation information, operational status data and environmental variable data are extracted; Based on the operating status data and the environmental variable data, power adjustment calculations are performed to obtain a recommended power output value; Based on the recommended power output value, a power adjustment range is constructed, and the power adjustment range is fine-tuned to obtain an optimized power configuration scheme.
[0053] It is worth noting that, for the device referred to in the deviation information, relevant variable data of its current operating status and its environment are extracted. The current operating status includes the device's current power output, signal strength, and number of connected users, while the environmental variable data includes network user density and the power intensity of adjacent devices.
[0054] The device's current power output is directly extracted from the power setting value periodically uploaded by the device's RF front-end module. Signal strength is read from the signal acquisition module, and the number of connected users is statistically analyzed and output in real time from the device's internal user session management list. Network user density is calculated by centralized statistics of all user connection requests within the coverage area; the ratio of connection requests per unit time to coverage area represents the density index. The power strength of adjacent devices is obtained from the power field carried in the surrounding wireless signals received by the target device.
[0055] Subsequently, the signal strength, number of connected users, network user density, and power intensity of adjacent devices are normalized using a maximum-minimum normalization method. For example, if the maximum power intensity of adjacent devices among all devices is 1.9 microwatts and the minimum is 0.6 microwatts, and the current device's value is 1.2 microwatts, then the normalized value is... Next, the recommended power output value is calculated. This value is the device's current power output plus normalized values for signal strength, number of connected users, network user density, and the power strength of neighboring devices. For example, the current power is 22 dBm; the four normalized values are: signal strength (normalized value 0.7), number of connected users (normalized value 0.6), neighboring device power strength (normalized value 0.5), and network user density (normalized value 0.8). These four normalized values are summed to obtain a comprehensive score of 0.7 + 0.6 + 0.5 + 0.8 = 2.6. This comprehensive score is then mapped proportionally to a power compensation amount. The compensation amount is calculated using linear scaling, multiplying the comprehensive score by the maximum allowable adjustment range of 3 dBm to obtain a compensation amount of 2.6 / 3 × 3 dBm = 2.6 dBm. Therefore, the recommended power output value is 22 + 2.6 = 24.6 dBm.
[0056] This invention limits the maximum power adjustment range to 3dBm, based on statistical analysis of measured data from a large number of typical network environments. Specifically, assuming the power variation of the target device is ΔP (unit: dBm), adjustment sample data covering over a hundred different scenarios were collected, and key link signal-to-noise ratio (SNR) indicators were calculated. The results show that when ΔP ≤ 3dBm, the link SNR improvement is within the effective range, ΔSNR ≈ 1.2~2.4dB, and the interference power increase of neighboring devices is controlled within ΔI ≈ 1.5~2.8dB; while when ΔP > 3dBm, the link performance improvement tends to saturate (ΔSNR < 0.6dB), and the interference power suddenly increases to ΔI > 4dB; therefore, ±3dBm is selected as the maximum power adjustment range.
[0057] The power adjustment range is within ±3dBm of the recommended value. For example, if the recommended output is 22dBm, the adjustment range is set to 19dBm to 25dBm. Within this range, the power output is gradually adjusted using a fixed step size, with each step set to 1dBm, i.e., trying the seven power levels of 19, 20, 21, 22, 23, 24, and 25dBm in sequence.
[0058] Subsequently, for each power level adjustment, it is monitored whether the signal coverage area meets the minimum communication area requirement (e.g., not less than 50 square meters) and whether the interference impact value remains within an acceptable range (e.g., less than 5 microwatts). After traversing all power levels, the power level with the lowest interference impact value while meeting the communication coverage requirement is selected as the final optimized power configuration value. Then, the final optimized power configuration value for each device is written into the optimized power configuration scheme.
[0059] The basis for setting the power adjustment range to ±3dBm is as follows: Target devices in typical network environments are selected, and their transmit power is adjusted upwards and downwards by 1 to 6dBm from the recommended value. Interference impact values on nearby devices are collected at each power level. 200 sets of sample data are collected for each power level. The interference impact values are normalized using a unit area weighted average method to eliminate local deviations caused by deployment density and antenna orientation.
[0060] Experimental results show that when the power adjustment range is controlled within ±3dBm, the average change of the interference effect value does not exceed 1.9 microwatts, and the interference intensity curve changes smoothly; once the adjustment range exceeds ±3dBm, the average increase of the interference effect value rises sharply, exceeding 4 microwatts, and the maximum value reaches 7.2 microwatts at some test points, showing a significant increase in interference.
[0061] In step S17, based on the optimized power configuration scheme, synchronous configuration and index feedback analysis are performed to obtain the final set of adjustment commands, including: The optimized power configuration scheme is executed, power execution feedback data is collected after execution, and the synchronization status is preliminarily determined based on the power execution feedback data. Based on the synchronization status, a second calibration is performed to obtain the calibration result; Based on the calibration results, a stability analysis is performed to obtain a set of matching configuration parameters; Based on the set of matching configuration parameters, adjustment commands are generated to obtain the final set of adjustment commands.
[0062] It is worth noting that after the optimized power configuration scheme is executed, the power execution data, consisting of the power setting value, current power output, and current fluctuation value recorded locally by the device, will be fully collected.
[0063] Subsequently, the power setting value and the current power output value are compared and subtracted. If the deviation exceeds the preset tolerance of 0.8 dBm, the power adjustment of the device is determined to be incomplete. Simultaneously, the current standard deviation in the feedback data is extracted. If, within the sampling period, the current standard deviation exceeds the upper limit of the historical stable operating range, it is further marked as a potential synchronization anomaly. For example, if device A's set output power is 21 dBm and the feedback is 20.1 dBm, this exceeds the preset tolerance of 0.8 dBm, and the current standard deviation is 0.26 amps, exceeding the upper limit of the historical stable range of 0.20 amps. If a device's current standard deviation exceeds the upper limit of the historical stable range or its power deviation exceeds the preset tolerance, the device is considered not fully synchronized.
[0064] Based on historical data from stable operation, the upper limit of its 95% confidence interval is 0.20 amps. If the current fluctuation standard deviation reported by the current equipment is 0.26 amps, it significantly exceeds the upper limit of the historical stable interval of 0.20 amps.
[0065] The upper limit of the historical stable current range of 0.20 amps is derived from the 95% confidence interval of current data during statistical historical stable operation. The tolerance threshold of 0.8 dBm is set based on the power output error of the target equipment under stable operation, with a standard deviation of approximately 0.21 dBm, and 99.7% of the errors within the confidence interval falling within ±0.63 dBm. To enhance the system's response to abnormal fluctuations and considering the equipment's hardware error margin, this value was ultimately increased to 0.8 dBm.
[0066] Subsequently, for devices that are not fully synchronized, a secondary power calibration is performed. Centered on the current power setting of the device, a power adjustment range is constructed with fluctuations not exceeding the tolerance range. For example, if the target power is 21dBm, the range is constructed as [20.2dBm, 21.8dBm], and each candidate power value is traversed sequentially with a step size of 0.1dBm.
[0067] At each power level, the system evaluates the signal coverage area and interference impact of the device in real time under the current settings. The coverage area must meet the minimum service area requirement (not less than 50 square meters). Under the premise of meeting the coverage area requirement, the power level with the lowest interference impact is selected as the final optimal power output value, and this is recorded as the corrected power of the device.
[0068] During the current calibration process, the current was reduced from the original setting of 2.5A to 2.3A, and the dynamic response time was extended from 50ms to 80ms to enhance the ability to suppress instantaneous load changes. After adjustment, current data was re-acquired. If the standard deviation was reduced to 0.20A for two consecutive cycles, the calibration was confirmed to be complete. Subsequently, the corrected power and current limit values of each device, as well as the dynamic response time, were included in the calibration results.
[0069] Subsequently, the corrected power, current limit, and dynamic response time of each device are encapsulated into a standardized command format, forming the final adjustment command set. Each command includes a unique device identifier, a target power output value (in dBm), a current limit value (in A), and a dynamic response time parameter (in ms), along with a command effective timestamp and acknowledgment channel information. Taking a certain device as an example, its calibration result is a target power of 20.1 dBm, a current limit value of 2.3 A, and a response time of 80 ms, which corresponds to the following command field: "ID_0392, PWR=20.1, CUR=2.3, RT=80, T=09:45:21".
[0070] All commands are sequentially sent to the corresponding device nodes through the scheduling channel. After receiving the command, the device performs the required adjustments to the power, current and response time settings. The system records the time of command issuance and confirmation to track the overall configuration progress.
[0071] This set of adjustment commands serves as the final output, ensuring that all devices are configured synchronously under unified parameters, thus providing a consistent execution basis for subsequent stable operation.
[0072] Reference Figure 2 The second embodiment of the present invention provides a wireless network card power adaptive control system, comprising: Acquire real-time interference data; Based on the real-time interference data, a spectrum variation is performed to obtain an interference intensity distribution map; Based on the interference intensity distribution map, interference correlation analysis and power optimization calculations are performed to obtain a power configuration scheme; Based on the power configuration scheme, the parameters are updated to obtain preliminary power correction results; Based on the preliminary power correction results, an interference comparison and evaluation are performed to obtain deviation information; Based on the deviation information, power optimization is performed to obtain an optimized power configuration scheme; Based on the optimized power configuration scheme, synchronous configuration and indicator feedback analysis are performed to obtain the final set of adjustment commands.
[0073] It should be noted that the wireless network card power adaptive control system provided in this embodiment of the invention is used to execute all the process steps of the wireless network card power adaptive control method in the above embodiment. The working principle and beneficial effect of the two are one-to-one, so they will not be described again.
[0074] This invention also provides an electronic device. The electronic device includes a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a wireless network card power adaptive control program. When the processor executes the computer program, it implements the steps in the various wireless network card power adaptive control method embodiments described above, for example... Figure 1 The step S11 shown. Alternatively, when the processor executes the computer program, it implements the functions of each module / unit in the above system embodiments, such as the adjustment command module.
[0075] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the electronic device.
[0076] The electronic device may be a desktop computer, laptop, handheld computer, or smart tablet, etc. The electronic device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. It may include more or fewer components than described above, or combine certain components, or different components. For example, the electronic device may also include input / output devices, network access devices, buses, etc.
[0077] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the electronic device, connecting all parts of the electronic device via various interfaces and lines.
[0078] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the electronic device by running or executing the computer programs and / or modules stored in the memory and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.
[0079] If the modules / units integrated into the electronic device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or system capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.
[0080] It should be noted that the system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the system embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.
[0081] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.
Claims
1. A method for power adaptive control of a wireless network card, the method comprising: The method comprises the following steps: acquiring real-time interference data; performing spectrum change according to the real-time interference data to obtain an interference intensity distribution map; performing interference correlation analysis and power optimization calculation according to the interference intensity distribution map to obtain a power configuration scheme; performing parameter update according to the power configuration scheme to obtain a preliminary power correction result; performing interference comparison and evaluation according to the preliminary power correction result to obtain deviation information; performing power optimization according to the deviation information to obtain an optimized power configuration scheme; performing synchronous configuration and index feedback analysis according to the optimized power configuration scheme to obtain a final adjustment command set.
2. The method of claim 1, wherein, The method of performing spectrum change according to the real-time interference data to obtain an interference intensity distribution map comprises the following steps: converting the real-time interference data into a frequency domain distribution feature map by using fast Fourier transform; performing intensity layering, outlier removal and color coding according to the frequency domain distribution feature map to obtain an interference intensity distribution map.
3. The method of claim 1, wherein, The method of performing interference correlation analysis and power optimization calculation according to the interference intensity distribution map to obtain a power configuration scheme comprises the following steps: acquiring signal coverage ranges of devices; performing interference overlap area identification based on the signal coverage ranges and the interference intensity distribution map to obtain an interference overlap area; detecting the interference overlap area, and if the signal intensity of a device in the interference overlap area exceeds a preset interference threshold, judging that the device causes interference to neighboring devices and recording an interference influence value corresponding to the device; screening out devices with interference influence values greater than a preset trigger threshold to form a list of devices to be adjusted; performing power change calculation according to the list of devices to be adjusted to obtain a power configuration scheme.
4. The method of claim 1, wherein, The method of performing parameter update according to the power configuration scheme to obtain a preliminary power correction result comprises the following steps: extracting power adjustment parameters of a target device from the power configuration scheme to determine a corresponding adjustment value interval; generating an update instruction for controlling the power of the target device based on the adjustment value interval; performing instruction issuing and feedback according to the update instruction to obtain a preliminary power correction result.
5. The method of claim 1, wherein, The method of performing interference comparison and evaluation according to the preliminary power correction result to obtain deviation information comprises the following steps: acquiring a historical database and interference reference values based on the historical database; performing difference calculation according to the preliminary power correction result and the interference reference values to obtain interference intensity difference values; performing record deviation and classification according to the interference intensity difference values to obtain deviation information.
6. The method of claim 1, wherein, The method of performing power optimization according to the deviation information to obtain an optimized power configuration scheme comprises the following steps: extracting running state data and environmental variable data based on the deviation information; performing power adjustment calculation according to the running state data and the environmental variable data to obtain a recommended power output value; constructing a power adjustment interval based on the recommended power output value, and fine-tuning the power adjustment interval to obtain an optimized power configuration scheme.
7. The method of claim 1, wherein, The method of performing synchronous configuration and index feedback analysis according to the optimized power configuration scheme to obtain a final adjustment command set comprises the following steps: The optimization power configuration scheme is executed, power execution feedback data after execution is collected, and a synchronization state is preliminarily judged according to the power execution feedback data; According to the synchronization state, secondary calibration is carried out to obtain a calibration result; According to the calibration result, stability analysis is carried out to obtain a matching configuration parameter set; According to the matching configuration parameter set, an adjustment command set is generated to obtain a final adjustment command set.
8. A wireless network card power adaptive control system, comprising: Comprise: Data acquisition module, for acquiring real-time interference data; Interference intensity distribution map module, for performing spectrum change according to the real-time interference data to obtain an interference intensity distribution map; Power configuration scheme module, for performing interference correlation analysis and power optimization calculation according to the interference intensity distribution map to obtain a power configuration scheme; Preliminary power module, for updating parameters according to the power configuration scheme to obtain a preliminary power correction result; Deviation information module, for comparing and evaluating interference according to the preliminary power correction result to obtain deviation information; Configuration scheme module, for optimizing power according to the deviation information to obtain an optimized power configuration scheme; Adjustment command module, for performing synchronization configuration and index feedback analysis according to the optimized power configuration scheme to obtain a final adjustment command set.