A signal strength detection method, system and device for 5G router

Abstract

The present invention discloses a signal strength detection method, system and device for a 5G router, and relates to the field of digital information transmission. The method comprises the following steps: analyzing the pre-processed path loss data of the 5G router and the pre-processed location coverage data of the 5G router, comprehensively evaluating the path loss evaluation coefficient of the 5G router and the location coverage evaluation coefficient of the 5G router, obtaining the comprehensive evaluation coefficient of the 5G router, comparing the comprehensive evaluation coefficient of the 5G router with the comprehensive evaluation threshold of the 5G router, and selecting whether to optimize the 5G router according to the threshold comparison result. The present invention achieves the effect of improving the effective coverage rate of the 5G router indoors by comparing the comprehensive evaluation coefficient of the 5G router with the comprehensive evaluation threshold of the 5G router, and solves the problem that the 5G router in the prior art cannot effectively cover the indoor area.

Description

Technical Field

[0001] The present invention relates to the field of digital information transmission technology, and in particular to a signal strength detection method, system and device for a 5G router. Background Art

[0002] With the continuous development of 5G technology, there are too many indoor interference sources in large shopping malls, such as large electronic devices, consumers' mobile phones and routers in shops, which interfere with each other. In indoor environments, signals may not reach the receiver directly from the transmitting source, but through multiple reflections, which increases the uncertainty of positioning.

[0003] For example, the router layout effect evaluation method, location optimization method and PDA disclosed in the patent application with announcement number: CN116566827A include: S1, connecting the PDA to the wireless network, and the PDA has network signal strength, network speed and location detection functions; S2, using the PDA to obtain the current location and record it as the detection location; S3, using the PDA at the detection location to detect and record the network signal strength and network speed; S4, if the number of detection locations has reached a preset detection number threshold, execute step S5, otherwise move from the current location to the next location in a specific space and return to execute step S2; S5, evaluate the layout effect of the router based on the network signal strength, network speed and location at each detection location.

[0004] For example, the invention patent announcement number is CN115714732B, which announces a whole-house wireless network coverage detection method and device, including: processing the original floor plan of the house to be tested to obtain a final floor plan; determining the router position on the final floor plan, selecting a first test point for signal strength detection, and obtaining a first signal strength; determining the signal strength at any position in the house to be tested based on the first signal strength, the router placement position, and the wireless network signal attenuation law, and obtaining a signal strength distribution set; based on the signal strength at the remaining test points, correcting the signal strength distribution set; generating a wireless network coverage heat map in the house to be tested based on the corrected signal strength distribution set, and superimposing it with the final floor plan to obtain a wireless network coverage distribution map.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0006] In the prior art, when signals propagate in indoor environments, they will be reflected, refracted, and scattered, resulting in multiple signal paths, causing time delays and amplitude attenuation of received signals, and there is a problem that 5G routers cannot effectively cover indoor areas. Summary of the invention

[0007] The embodiments of the present application provide a signal strength detection method, system and device for a 5G router, thereby solving the problem in the prior art that 5G routers cannot effectively cover indoor areas, and achieving the effect of improving the effective coverage rate of 5G routers indoors.

[0008] The embodiment of the present application provides a signal strength detection method for a 5G router, comprising the following steps: collecting path loss data of the 5G router and location coverage data of the 5G router, and preprocessing the path loss data of the 5G router and the location coverage data of the 5G router to obtain the preprocessed path loss data of the 5G router and the preprocessed location coverage data of the 5G router; analyzing the preprocessed path loss data of the 5G router to obtain a path loss evaluation coefficient of the 5G router, analyzing the preprocessed location coverage data of the 5G router to obtain a location coverage evaluation coefficient of the 5G router; and calculating the location coverage of the 5G router. The evaluation coefficient is compared with the location coverage evaluation threshold of the 5G router. According to the threshold comparison result, the location coverage evaluation coefficient of the 5G router is marked as the location coverage evaluation coefficient of a qualified 5G router, or the antenna of the 5G router is adjusted until the location coverage evaluation coefficient of the 5G router is marked as the location coverage evaluation coefficient of a qualified 5G router; the path loss evaluation coefficient of the 5G router and the location coverage evaluation coefficient of the 5G router are comprehensively evaluated to obtain the comprehensive evaluation coefficient of the 5G router, and the comprehensive evaluation coefficient of the 5G router is compared with the comprehensive evaluation threshold of the 5G router. According to the threshold comparison result, it is selected whether to optimize the 5G router.

[0009] Furthermore, the specific collection process of the path loss data of the 5G router and the location coverage data of the 5G router is as follows: directly obtain the standard values ​​of the path loss data of the 5G router and the location coverage data of the 5G router through the database, and collect the test values ​​of the path loss data of the 5G router and the location coverage data of the 5G router through sensors and cameras; the path loss data of the 5G router includes the signal attenuation coefficient of indoor building materials, the phase difference of adjacent path components in multipath propagation, and the 5G signal frequency; the location coverage data of the 5G router includes user density, antenna downtilt angle, frequency reuse factor and receiving sensitivity.

[0010] Furthermore, the specific preprocessing process of preprocessing the path loss data of the 5G router and the location coverage data of the 5G router is: cleaning the path loss data of the 5G router and the location coverage data of the 5G router includes removing invalid values ​​and filling missing data with the mean of the previous and next data, normalizing the path loss data of the 5G router and the location coverage data of the 5G router, and using a low-pass filter to remove high-frequency interference.

[0011] Furthermore, the specific analysis process of analyzing the path loss data of the pre-processed 5G router is as follows: comparing the signal attenuation coefficient of indoor building materials with the standard signal attenuation coefficient of indoor building materials, subtracting the phase difference of adjacent path components in multipath propagation from the half-wavelength of the 5G signal, and comparing the 5G signal frequency with the standard 5G signal frequency.

[0012] Furthermore, the specific analysis process of analyzing the pre-processed 5G router location coverage data is: making a difference between the user density and the standard value of the user density, making a difference between the antenna downtilt angle and the standard value of the antenna downtilt angle, and making a difference between the frequency reuse factor and the standard value of the frequency reuse factor.

[0013] Furthermore, the specific comparison process of comparing the location coverage evaluation coefficient of the 5G router with the location coverage evaluation threshold of the 5G router is as follows: comparing the location coverage evaluation coefficient of the 5G router with the location coverage evaluation threshold of the 5G router; if the location coverage evaluation coefficient of the 5G router is greater than the location coverage evaluation threshold of the 5G router, marking the location coverage evaluation coefficient of the 5G router as the location coverage evaluation coefficient of a qualified 5G router; if the location coverage evaluation coefficient of the 5G router is less than or equal to the location coverage evaluation threshold of the 5G router, fine-tuning the antenna of the 5G router, including adjusting the antenna inclination angle, antenna height and antenna gain, and performing threshold comparison again until the location coverage evaluation coefficient of the 5G router is greater than the location coverage evaluation threshold of the 5G router, marking the location coverage evaluation coefficient of the 5G router as the location coverage evaluation coefficient of a qualified 5G router.

[0014] Furthermore, the specific optimization process for optimizing the 5G router is: comparing the comprehensive evaluation coefficient of the 5G router with the comprehensive evaluation threshold of the 5G router; if the comprehensive evaluation coefficient of the 5G router is greater than the comprehensive evaluation threshold of the 5G router, the 5G router does not need to be optimized; if the comprehensive evaluation coefficient of the 5G router is less than or equal to the comprehensive evaluation threshold of the 5G router, the 5G router is optimized, including enabling the automatic channel selection function, optimizing the network settings and controlling the access points of the signal booster or repeater, and performing threshold comparison again until the comprehensive evaluation coefficient of the 5G router is greater than the comprehensive evaluation threshold of the 5G router.

[0015] Furthermore, the specific process of obtaining the comprehensive evaluation coefficient of the 5G router is as follows:

[0016] ;

[0017] It is expressed as the comprehensive evaluation coefficient of the 5G router, which is used to evaluate the impact of the path loss and location coverage of the 5G router on the signal strength. Expressed as the path loss evaluation coefficient of the 5G router, Expressed as the location coverage evaluation coefficient of the 5G router, Expressed as the weight factor of the path loss evaluation coefficient of the 5G router, Expressed as the weight factor of the location coverage evaluation coefficient of the 5G router, Expressed as a natural constant.

[0018] The embodiment of the present application provides a signal strength detection system for a 5G router, including a data collection module, a data analysis module, a threshold comparison module and an optimization module: the data collection module is used to collect the path loss data of the 5G router and the location coverage data of the 5G router, and pre-process the path loss data of the 5G router and the location coverage data of the 5G router to obtain the pre-processed path loss data of the 5G router and the pre-processed location coverage data of the 5G router; the data analysis module is used to analyze the pre-processed path loss data of the 5G router to obtain the path loss evaluation coefficient of the 5G router, and analyze the pre-processed location coverage data of the 5G router to obtain the location coverage evaluation coefficient of the 5G router ; Threshold comparison module: used to compare the location coverage evaluation coefficient of the 5G router with the location coverage evaluation threshold of the 5G router, and select to mark the location coverage evaluation coefficient of the 5G router as a qualified location coverage evaluation coefficient of the 5G router or adjust the antenna of the 5G router until the location coverage evaluation coefficient of the 5G router is marked as a qualified location coverage evaluation coefficient of the 5G router; Optimization module: used to comprehensively evaluate the path loss evaluation coefficient of the 5G router and the location coverage evaluation coefficient of the 5G router to obtain the comprehensive evaluation coefficient of the 5G router, compare the comprehensive evaluation coefficient of the 5G router with the comprehensive evaluation threshold of the 5G router, and select whether to optimize the 5G router according to the threshold comparison result.

[0019] An embodiment of the present application provides a signal strength detection device for a 5G router, including: a memory, a processor and a 5G router optimization system; the memory is used to store path loss data of the 5G router and related parameters of the location coverage data of the 5G router; the processor is used to receive the path loss data of the 5G router and related parameters of the location coverage data of the 5G router, comprehensively process the path loss data of the 5G router and related parameters of the location coverage data of the 5G router, and send a control signal to control the 5G router optimization system; the 5G router optimization system is used to receive the control signal sent by the processor, and when the comprehensive evaluation coefficient of the 5G router is less than or equal to the comprehensive evaluation threshold of the 5G router, optimize the 5G router, including enabling the automatic channel selection function, optimizing the network settings and controlling the access point of the signal booster or repeater.

[0020] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0021] 1. By comparing the comprehensive evaluation coefficient of the 5G router with the comprehensive evaluation threshold of the 5G router, it is determined whether to optimize the 5G router according to the threshold comparison result, thereby achieving the effect of improving the effective coverage of the 5G router indoors, and effectively solving the problem that the 5G router cannot effectively cover the indoor area in the prior art.

[0022] 2. By comparing the location coverage evaluation coefficient of the 5G router with the location coverage evaluation threshold of the 5G router, the location coverage evaluation coefficient of the 5G router is marked as the location coverage evaluation coefficient of a qualified 5G router according to the threshold comparison result, or the antenna of the 5G router is adjusted until the location coverage evaluation coefficient of the 5G router is marked as the location coverage evaluation coefficient of a qualified 5G router, thereby achieving the effect of improving the effectiveness of the optimization measures and effectively solving the problem of insufficient effectiveness of the optimization measures in the prior art.

[0023] 3. By analyzing the preprocessed path loss data of the 5G router and the location coverage data of the 5G router, the path loss evaluation coefficient of the 5G router and the location coverage evaluation coefficient of the 5G router are obtained, thereby achieving the effect of improving the accuracy of the threshold comparison, and effectively solving the problem of insufficient threshold comparison accuracy in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A flow chart of a signal strength detection method for a 5G router provided in an embodiment of the present application;

[0025] Figure 2 An image of a path loss evaluation coefficient of a 5G router in a signal strength detection method for a 5G router provided in an embodiment of the present application;

[0026] Figure 3 A schematic diagram of the structure of a signal strength detection system for a 5G router provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The embodiments of the present application provide a signal strength detection method, system and device for 5G routers, which solve the problem in the prior art that 5G routers cannot effectively cover indoor areas. By comparing the comprehensive evaluation coefficient of the 5G router with the comprehensive evaluation threshold of the 5G router, it is determined whether to optimize the 5G router based on the threshold comparison result, thereby achieving the effect of improving the effective coverage of the 5G router indoors.

[0028] The technical solution in the embodiment of the present application is to solve the above-mentioned problem that the 5G router cannot effectively cover the indoor area. The overall idea is as follows:

[0029] By comparing the comprehensive evaluation coefficient of the 5G router with the comprehensive evaluation threshold of the 5G router, it is determined whether to optimize the 5G router based on the threshold comparison result, thereby achieving the effect of improving the effective coverage of the 5G router indoors.

[0030] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0031] like Figure 1 As shown, it is a flow chart of a signal strength detection method for a 5G router provided in an embodiment of the present application. The method is applied to a signal strength detection system of a 5G router. The method comprises the following steps: collecting path loss data of the 5G router and location coverage data of the 5G router, and preprocessing the path loss data of the 5G router and the location coverage data of the 5G router to obtain the preprocessed path loss data of the 5G router and the preprocessed location coverage data of the 5G router; analyzing the preprocessed path loss data of the 5G router to obtain a path loss evaluation coefficient of the 5G router, analyzing the preprocessed location coverage data of the 5G router to obtain a location coverage evaluation coefficient of the 5G router The location coverage evaluation coefficient of the 5G router is compared with the location coverage evaluation threshold of the 5G router, and according to the threshold comparison result, the location coverage evaluation coefficient of the 5G router is marked as a qualified location coverage evaluation coefficient of the 5G router, or the antenna of the 5G router is adjusted until the location coverage evaluation coefficient of the 5G router is marked as a qualified location coverage evaluation coefficient of the 5G router; the path loss evaluation coefficient of the 5G router and the location coverage evaluation coefficient of the 5G router are comprehensively evaluated to obtain the comprehensive evaluation coefficient of the 5G router, and the comprehensive evaluation coefficient of the 5G router is compared with the comprehensive evaluation threshold of the 5G router, and according to the threshold comparison result, whether to optimize the 5G router is selected.

[0032] Furthermore, the specific collection process of the path loss data of the 5G router and the location coverage data of the 5G router is as follows: directly obtain the standard values ​​of the path loss data of the 5G router and the location coverage data of the 5G router through the database, and collect the test values ​​of the path loss data of the 5G router and the location coverage data of the 5G router through sensors and cameras; the path loss data of the 5G router includes the signal attenuation coefficient of indoor building materials, the phase difference of adjacent path components in multipath propagation, and the 5G signal frequency; the location coverage data of the 5G router includes user density, antenna downtilt angle, frequency reuse factor and receiving sensitivity.

[0033] In this embodiment, the system directly retrieves the standard value of the path loss data of the 5G router and the standard value of the location coverage data of the 5G router through a preset database, and obtains the standard value based on a large number of preliminary tests and simulation calculations. The standard value of the path loss data of the 5G router includes the standard value of the signal attenuation coefficient of indoor building materials and the standard value of the 5G signal frequency. The standard value of the location coverage data of the 5G router includes the standard value of the user density, the standard value of the antenna downtilt angle, the standard value of the frequency reuse factor and the standard value of the receiving sensitivity. Real-time data is collected by sensors and cameras to make the detection of 5G signals more accurate and timely.

[0034] Furthermore, the specific preprocessing process of preprocessing the path loss data of the 5G router and the location coverage data of the 5G router is: cleaning the path loss data of the 5G router and the location coverage data of the 5G router includes removing invalid values ​​and filling missing data with the mean of the previous and next data, normalizing the path loss data of the 5G router and the location coverage data of the 5G router, and using a low-pass filter to remove high-frequency interference.

[0035] In this embodiment, the system first checks the collected path loss data and location coverage data of the 5G router and arranges them in order from large to small, identifies and removes invalid values ​​that are obviously wrong, such as measurement values ​​that are beyond the normal range. For missing data, the system uses the mean of the previous and next data to fill these gaps, normalizes the cleaned data, scales the data to between 0 and 1, and uses a low-pass filter to filter the data to remove high-frequency interference caused by environmental factors (such as interference from fast-moving objects and other electronic products). Through cleaning and preprocessing, noise and outliers in the data are effectively removed, the quality of the data is improved, and subsequent analysis is more accurate.

[0036] Furthermore, the specific analysis process of analyzing the path loss data of the pre-processed 5G router is as follows: comparing the signal attenuation coefficient of indoor building materials with the standard signal attenuation coefficient of indoor building materials, subtracting the phase difference of adjacent path components in multipath propagation from the half-wavelength of the 5G signal, and comparing the 5G signal frequency with the standard 5G signal frequency.

[0037] In this embodiment, the specific method for obtaining the path loss evaluation coefficient of the 5G router is:

[0038] ;

[0039] Number the different paths in multipath propagation. , Indicates the total number of paths, and sets several path loss spatial monitoring points for 5G router signal detection. , represents the total number of path loss spatial monitoring points, Expressed as The path loss evaluation coefficient of the 5G router with a path is used to evaluate the signal attenuation coefficient of indoor building materials, the phase difference of adjacent path components in multipath propagation, and the impact of 5G signal frequency on path loss. Expressed as The first path The signal attenuation coefficient of indoor building materials at each path loss spatial monitoring point, Expressed as The standard value of the signal attenuation coefficient of indoor building materials in the path, Expressed as The first path The phase difference of adjacent path components in multipath propagation of path loss spatial monitoring points, Expressed as half the wavelength of the 5G signal, Expressed as 5G signal frequency of each path, Expressed as the standard value of 5G signal frequency, Expressed as a natural constant.

[0040] Using physical relationship analysis, when the 5G signal frequency is larger, the phase difference of adjacent path components in multipath propagation is larger, and the path loss evaluation coefficient of the 5G router is larger. When the signal attenuation coefficient of indoor building materials is larger, the phase difference of adjacent path components in multipath propagation is larger, and the path loss evaluation coefficient of the 5G router is larger. When the 5G signal frequency is larger, the 5G signal is attenuated more when passing through buildings with the same signal attenuation coefficient of indoor building materials. The phase difference of adjacent path components in multipath propagation is determined by the difference in adjacent passing lengths in multipath propagation and the wavelength of the 5G signal, and the wavelength is inversely proportional to the frequency. The wavelength of the 5G signal can be directly obtained through the 5G signal frequency. If the phase difference of adjacent path components in multipath propagation is an even multiple of the wavelength, it will cause constructive interference of the signal and the signal will be enhanced; if the phase difference of adjacent path components in multipath propagation is an odd multiple of half the wavelength, it will cause destructive interference between the phase difference of adjacent path components in multipath propagation and the 5G signal frequency and the signal will be weakened.

[0041] The signal attenuation coefficient of the indoor building materials of the K-th path is the average value of the signal attenuation coefficients of the indoor building materials of the path loss space monitoring points on the K-th path.

[0042] High-frequency signals, such as 5G signals, are more susceptible to multipath effects. High-frequency signals are more easily reflected, refracted and diffracted by buildings and other objects, causing the signal to travel through multiple paths before reaching the receiver, causing fluctuations in signal strength.

[0043] In a specific embodiment, the path loss evaluation coefficient data of the 5G router is shown in Table 1 below.

[0044] Table 1 Path loss evaluation coefficient data example table for 5G routers

[0045]

[0046] The standard value of the signal attenuation coefficient of the indoor building materials of the Kth path is 20dB. The half wavelength of the 5G signal of the adjacent path in multipath propagation is , the standard value of 5G signal frequency is 2.6GHz, through Figure 2 From the data in Table 1, it can be seen that when the signal attenuation coefficient of indoor building materials and the phase difference of adjacent path components in multipath propagation remain unchanged, the larger the 5G signal frequency, the larger the path loss evaluation coefficient of the 5G router.

[0047] Furthermore, the specific analysis process of analyzing the pre-processed 5G router location coverage data is: making a difference between the user density and the standard value of the user density, making a difference between the antenna downtilt angle and the standard value of the antenna downtilt angle, and making a difference between the frequency reuse factor and the standard value of the frequency reuse factor.

[0048] In this embodiment, a number of location coverage space monitoring points are set for 5G router signal detection, and 20 location coverage space monitoring points are used as a location coverage space monitoring segment. , Indicates the total number of monitoring segments of the location coverage space. The user density limit that the 5G router can withstand is directly obtained from the database. The user density of the monitoring segment of the location coverage space is compared with the user density standard value. The user density of the monitoring segment of the space covered by the position is less than or equal to the user density standard value, and the user density of the monitoring segment of the space covered by the position is judged to be low. The user density of the monitoring segment of the location coverage space is greater than the user density standard value and the The user density of the monitoring segment of the space covered by the location is less than the user density limit that the 5G router can bear, and the user density of the monitoring segment of the space covered by the location is judged to be medium. The user density of the spatial monitoring segment covered by the location is greater than the user density limit that the 5G router can withstand, and the user density of the spatial monitoring segment covered by the location is judged to be high.

[0049] When the user density of the location coverage space monitoring segment is low or medium, the specific method for obtaining the location coverage evaluation coefficient of the 5G router is as follows:

[0050] ;

[0051] It is expressed as the location coverage evaluation coefficient of the 5G router, which is used to evaluate the impact of user density, antenna downtilt angle, frequency reuse factor and receiving sensitivity on the location coverage of the 5G router. Expressed as The user density of the spatial monitoring segment covered by each location, Expressed as the standard value of user density, Expressed as The antenna downtilt angle of each location covers the space monitoring segment, Expressed as the standard value of the antenna downtilt angle, Expressed as The frequency reuse factor of each location covering the spatial monitoring segment, Expressed as the standard value of the frequency reuse factor, Expressed as The receiving sensitivity of the space monitoring segment covered by each position, Indicates the standard value of receiving sensitivity.

[0052] Using physical relationship analysis, in low or medium user density areas of shopping malls, adjusting the antenna downtilt angle to be close to the standard value can help improve the effective coverage of the signal. As the user density increases, in order to meet the communication needs of more users, it may be necessary to reduce the frequency reuse factor to provide more frequency resources, but this will also increase the risk of co-channel interference. At this time, adjusting the antenna downtilt angle can affect the effect of frequency reuse, reduce co-channel interference, and improve the utilization efficiency of frequency resources.

[0053] The standard value of the antenna downtilt angle is expressed as: when the user density is low, the coverage range is a circular range with the 5G router as the center. When the user density is medium, the downtilt angle is increased in the direction of the user density to deviate from the standard value, thereby improving the effective coverage of the signal.

[0054] The frequency reuse factor indicates the number of sub-channels that can be used in a certain frequency band. This factor reflects the number of users that can communicate simultaneously in the same frequency band or the parallelism of signal transmission. In order to ensure that the interference between these users is reduced to an acceptable level, the distance between users (reuse distance) also needs to be increased accordingly. Therefore, when the user density is too high, the frequency reuse factor cannot be reduced. If the user density is too high, reducing the frequency reuse factor will increase the interference between users to the level that affects communication.

[0055] Receiving sensitivity is expressed as the minimum signal strength at which the receiver in the 5G router can correctly receive the signal, which determines the limit of the 5G router signal coverage.

[0056] When the user density of the location coverage space monitoring segment is high, no calculation is performed and the location coverage evaluation coefficient of the 5G router is -1.

[0057] Furthermore, the specific comparison process of comparing the location coverage evaluation coefficient of the 5G router with the location coverage evaluation threshold of the 5G router is as follows: comparing the location coverage evaluation coefficient of the 5G router with the location coverage evaluation threshold of the 5G router; if the location coverage evaluation coefficient of the 5G router is greater than the location coverage evaluation threshold of the 5G router, marking the location coverage evaluation coefficient of the 5G router as the location coverage evaluation coefficient of a qualified 5G router; if the location coverage evaluation coefficient of the 5G router is less than or equal to the location coverage evaluation threshold of the 5G router, fine-tuning the antenna of the 5G router, including adjusting the antenna inclination angle, antenna height and antenna gain, and performing threshold comparison again until the location coverage evaluation coefficient of the 5G router is greater than the location coverage evaluation threshold of the 5G router, marking the location coverage evaluation coefficient of the 5G router as the location coverage evaluation coefficient of a qualified 5G router.

[0058] In this embodiment, for example, the calculated location coverage evaluation coefficient of the current 5G router is 0.85, and the location coverage evaluation threshold of the 5G router is 0.90. The system determines that the location coverage of the 5G router is unqualified, and the system then automatically starts the antenna fine-tuning procedure, including adjusting the antenna inclination angle: the system may adjust the antenna's downtilt angle from the original 3 degrees to 5 degrees to enhance the signal coverage of a specific area, adjust the antenna height: if conditions permit, the system may increase the antenna height by 1 meter to improve the coverage range, and adjust the antenna gain: the system may increase the antenna gain to enhance the signal transmission capability. After fine-tuning, the system monitors again. The position coverage evaluation coefficient is measured and calculated. If the position coverage evaluation coefficient is increased to 0.92 after adjustment, since 0.92 is greater than the threshold of 0.90, the system marks the new position coverage evaluation coefficient as qualified. When the antenna is fine-tuned ten times, the system still determines that the position coverage of the 5G router is unqualified and marks it as an unqualified position coverage evaluation coefficient. At the same time, the weight factor of the position coverage evaluation coefficient is increased. For example, the weight factor of the position coverage evaluation coefficient is increased to 150% of the weight factor of the position coverage evaluation coefficient obtained through the dynamic information database. By automatically fine-tuning the antenna parameters, the system can optimize the network coverage in real time without manual intervention.

[0059] Furthermore, the specific optimization process for optimizing the 5G router is: comparing the comprehensive evaluation coefficient of the 5G router with the comprehensive evaluation threshold of the 5G router; if the comprehensive evaluation coefficient of the 5G router is greater than the comprehensive evaluation threshold of the 5G router, the 5G router does not need to be optimized; if the comprehensive evaluation coefficient of the 5G router is less than or equal to the comprehensive evaluation threshold of the 5G router, the 5G router is optimized, including enabling the automatic channel selection function, optimizing the network settings and controlling the access points of the signal booster or repeater, and performing threshold comparison again until the comprehensive evaluation coefficient of the 5G router is greater than the comprehensive evaluation threshold of the 5G router.

[0060] In this embodiment, the automatic channel selection function is enabled: the surrounding wireless environment is automatically detected, and a channel with the least interference is selected to optimize the signal strength and coverage. For example, the larger the location coverage evaluation coefficient of the 5G router, the larger the coverage range, and the more channels are available for selection; the network settings are optimized: the QoS (Quality of Service) settings are adjusted to ensure that key businesses obtain priority bandwidth and signal resources; the access points of the signal booster or repeater are controlled: the signal coverage range is expanded, and the synchronization of the configuration repeater and the main router is assisted to ensure seamless coverage. The automatic channel selection function, the optimization of the network settings, and the control of the access points of the signal booster or repeater cannot optimize the signal quality to meet the needs. At this time, an alarm needs to be issued to remind relevant personnel.

[0061] Furthermore, the specific process of obtaining the comprehensive evaluation coefficient of the 5G router is as follows:

[0062] ;

[0063] It is expressed as the comprehensive evaluation coefficient of the 5G router, which is used to evaluate the impact of the path loss and location coverage of the 5G router on the signal strength. Expressed as the path loss evaluation coefficient of the 5G router, Expressed as the location coverage evaluation coefficient of the 5G router, Expressed as the weight factor of the path loss evaluation coefficient of the 5G router, Expressed as the weight factor of the location coverage evaluation coefficient of the 5G router, Expressed as a natural constant.

[0064] In this embodiment, the weight factor of the path loss evaluation coefficient of the 5G router and the weight factor of the location coverage evaluation coefficient of the 5G router can be obtained through the dynamic information database, which represents the proportion of the path loss evaluation coefficient of the 5G router and the environmental visibility in the comprehensive evaluation coefficient of the 5G router. The weight factor of the path loss evaluation coefficient of the 5G router and the weight factor of the location coverage evaluation coefficient of the 5G router can also be obtained through a mapping relationship. For example, a mapping set of path loss and location coverage and their corresponding weights is established respectively through the relationship between the path loss data of the 5G router in the historical data and the location coverage of the 5G router and the dynamic information. The weight factor of the path loss evaluation coefficient of the 5G router and the weight factor of the location coverage evaluation coefficient of the 5G router corresponding to the mapping set are obtained by inputting the real-time path loss and location coverage.

[0065] like Figure 3 As shown, it is a structural schematic diagram of the signal strength detection system for a 5G router provided in an embodiment of the present application. The signal strength detection system for a 5G router provided in an embodiment of the present application includes: a data collection module, a data analysis module, a threshold comparison module and an optimization module: Data collection module: used to collect the path loss data of the 5G router and the location coverage data of the 5G router, and pre-process the path loss data of the 5G router and the location coverage data of the 5G router to obtain the pre-processed path loss data of the 5G router and the pre-processed location coverage data of the 5G router; Data analysis module: used to analyze the pre-processed path loss data of the 5G router, obtain the path loss evaluation coefficient of the 5G router, and analyze the pre-processed location coverage data of the 5G router , and obtain the location coverage evaluation coefficient of the 5G router; a threshold comparison module: used to compare the location coverage evaluation coefficient of the 5G router with the location coverage evaluation threshold of the 5G router, and select to mark the location coverage evaluation coefficient of the 5G router as a qualified location coverage evaluation coefficient of the 5G router or adjust the antenna of the 5G router until the location coverage evaluation coefficient of the 5G router is marked as a qualified location coverage evaluation coefficient of the 5G router; an optimization module: used to comprehensively evaluate the path loss evaluation coefficient of the 5G router and the location coverage evaluation coefficient of the 5G router, obtain the comprehensive evaluation coefficient of the 5G router, compare the comprehensive evaluation coefficient of the 5G router with the comprehensive evaluation threshold of the 5G router, and select whether to optimize the 5G router according to the threshold comparison result.

[0066] The signal strength detection device for a 5G router provided in an embodiment of the present application includes: a memory, a processor and a 5G router optimization system; the memory is used to store path loss data of the 5G router and related parameters of the location coverage data of the 5G router; the processor is used to receive the path loss data of the 5G router and related parameters of the location coverage data of the 5G router, comprehensively process the path loss data of the 5G router and related parameters of the location coverage data of the 5G router, and send a control signal to control the 5G router optimization system; the 5G router optimization system is used to receive the control signal sent by the processor, and when the comprehensive evaluation coefficient of the 5G router is less than or equal to the comprehensive evaluation threshold of the 5G router, optimize the 5G router, including enabling the automatic channel selection function, optimizing the network settings and controlling the access point of the signal booster or repeater.

[0067] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0068] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0069] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0070] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0071] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0072] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A signal strength detection method for a 5G router, characterized in that: The following steps are involved: Collecting the path loss data of the 5G router and the location coverage data of the 5G router, and preprocessing the path loss data of the 5G router and the location coverage data of the 5G router to obtain the preprocessed path loss data of the 5G router and the preprocessed location coverage data of the 5G router; The pre-processed path loss data of the 5G router is analyzed to obtain the path loss evaluation coefficient of the 5G router, and the pre-processed location coverage data of the 5G router is analyzed to obtain the location coverage evaluation coefficient of the 5G router; Compare the location coverage evaluation coefficient of the 5G router with the location coverage evaluation threshold of the 5G router, and select, according to the threshold comparison result, to mark the location coverage evaluation coefficient of the 5G router as the location coverage evaluation coefficient of a qualified 5G router or adjust the antenna of the 5G router until the location coverage evaluation coefficient of the 5G router is marked as the location coverage evaluation coefficient of a qualified 5G router; A comprehensive evaluation is performed on the path loss evaluation coefficient of the 5G router and the location coverage evaluation coefficient of the 5G router to obtain the comprehensive evaluation coefficient of the 5G router, and the comprehensive evaluation coefficient of the 5G router is compared with the comprehensive evaluation threshold of the 5G router. According to the threshold comparison result, it is selected whether to optimize the 5G router.

2. The signal strength detection method for a 5G router as claimed in claim 1, characterized in that: The specific collection process of collecting the path loss data of the 5G router and the location coverage data of the 5G router is as follows: Directly obtain the standard values ​​of the path loss data of the 5G router and the location coverage data of the 5G router through the database, and collect the test values ​​of the path loss data of the 5G router and the location coverage data of the 5G router through sensors and cameras; The path loss data of 5G routers includes the signal attenuation coefficient of indoor building materials, the phase difference of adjacent path components in multipath propagation, and the 5G signal frequency; The location coverage data of 5G routers includes user density, antenna downtilt angle, frequency reuse factor and receiving sensitivity.

3. The signal strength detection method for a 5G router as claimed in claim 1, characterized in that: The specific preprocessing process of preprocessing the path loss data of the 5G router and the location coverage data of the 5G router is as follows: The path loss data of the 5G router and the location coverage data of the 5G router are cleaned, including removing invalid values ​​and filling missing data with the mean of the previous and next data, normalizing the path loss data of the 5G router and the location coverage data of the 5G router, and using a low-pass filter to remove high-frequency interference.

4. The signal strength detection method for a 5G router as claimed in claim 1, characterized in that: The specific analysis process of analyzing the pre-processed path loss data of the 5G router is as follows: The signal attenuation coefficient of indoor building materials is compared with the standard signal attenuation coefficient of indoor building materials, the phase difference between adjacent path components in multipath propagation is compared with the half-wavelength of the 5G signal, and the 5G signal frequency is compared with the standard 5G signal frequency.

5. The signal strength detection method for a 5G router as claimed in claim 1, characterized in that: The specific analysis process of analyzing the pre-processed 5G router location coverage data is as follows: The user density is processed by difference with the standard value of the user density, the antenna downtilt angle is processed by difference with the standard value of the antenna downtilt angle, and the ratio of the frequency reuse factor to the standard value of the frequency reuse factor is compared with the ratio of the receiving sensitivity to the standard value of the receiving sensitivity.

6. The signal strength detection method for a 5G router as claimed in claim 1, characterized in that: The specific comparison process of comparing the location coverage evaluation coefficient of the 5G router with the location coverage evaluation threshold of the 5G router is as follows: The location coverage evaluation coefficient of the 5G router is compared with the location coverage evaluation threshold of the 5G router. If the location coverage evaluation coefficient of the 5G router is greater than the location coverage evaluation threshold of the 5G router, the location coverage evaluation coefficient of the 5G router is marked as the location coverage evaluation coefficient of a qualified 5G router. If the location coverage evaluation coefficient of the 5G router is less than or equal to the location coverage evaluation threshold of the 5G router, the antenna of the 5G router is fine-tuned, including adjusting the antenna inclination angle, antenna height and antenna gain, and the threshold comparison is performed again until the location coverage evaluation coefficient of the 5G router is greater than the location coverage evaluation threshold of the 5G router, and the location coverage evaluation coefficient of the 5G router is marked as the location coverage evaluation coefficient of a qualified 5G router.

7. The signal strength detection method for a 5G router as claimed in claim 1, characterized in that: The specific optimization process of optimizing the 5G router is as follows: The comprehensive evaluation coefficient of the 5G router is compared with the comprehensive evaluation threshold of the 5G router. If the comprehensive evaluation coefficient of the 5G router is greater than the comprehensive evaluation threshold of the 5G router, the 5G router does not need to be optimized. If the comprehensive evaluation coefficient of the 5G router is less than or equal to the comprehensive evaluation threshold of the 5G router, the 5G router is optimized, including enabling the automatic channel selection function, optimizing the network settings and controlling the access points of the signal booster or repeater, and the threshold comparison is performed again until the comprehensive evaluation coefficient of the 5G router is greater than the comprehensive evaluation threshold of the 5G router.

8. The signal strength detection method for a 5G router as claimed in claim 1, characterized in that: The specific process of obtaining the comprehensive evaluation coefficient of the 5G router is as follows: ； It is expressed as the comprehensive evaluation coefficient of the 5G router, which is used to evaluate the impact of the path loss and location coverage of the 5G router on the signal strength. Expressed as the path loss evaluation coefficient of the 5G router, Expressed as the location coverage evaluation coefficient of the 5G router, Expressed as the weight factor of the path loss evaluation coefficient of the 5G router, Expressed as the weight factor of the location coverage evaluation coefficient of the 5G router, Expressed as a natural constant.

9. A signal strength detection system for a 5G router, characterized in that: Including data collection module, data analysis module, threshold comparison module and optimization module: Data collection module: used to collect the path loss data of the 5G router and the location coverage data of the 5G router, and pre-process the path loss data of the 5G router and the location coverage data of the 5G router to obtain the pre-processed path loss data of the 5G router and the pre-processed location coverage data of the 5G router; Data analysis module: used to analyze the pre-processed path loss data of the 5G router to obtain the path loss evaluation coefficient of the 5G router, and to analyze the pre-processed location coverage data of the 5G router to obtain the location coverage evaluation coefficient of the 5G router; Threshold comparison module: used to compare the location coverage evaluation coefficient of the 5G router with the location coverage evaluation threshold of the 5G router, and select to mark the location coverage evaluation coefficient of the 5G router as the location coverage evaluation coefficient of a qualified 5G router or adjust the antenna of the 5G router until the location coverage evaluation coefficient of the 5G router is marked as the location coverage evaluation coefficient of a qualified 5G router according to the threshold comparison result; Optimization module: used to comprehensively evaluate the path loss evaluation coefficient of the 5G router and the location coverage evaluation coefficient of the 5G router, obtain the comprehensive evaluation coefficient of the 5G router, compare the comprehensive evaluation coefficient of the 5G router with the comprehensive evaluation threshold of the 5G router, and choose whether to optimize the 5G router according to the threshold comparison result.

10. A device using the signal strength detection method for a 5G router as claimed in any one of claims 1 to 8, characterized in that: include: Memory, processor and 5G router optimized systems; The memory is used to store path loss data of the 5G router and relevant parameters of the location coverage data of the 5G router; The processor is used to receive the path loss data of the 5G router and the relevant parameters of the location coverage data of the 5G router, comprehensively process the path loss data of the 5G router and the relevant parameters of the location coverage data of the 5G router, and send a control signal to control the 5G router optimization system; The 5G router optimization system is used to receive a control signal sent by a processor. When the comprehensive evaluation coefficient of the 5G router is less than or equal to the comprehensive evaluation threshold of the 5G router, the 5G router is optimized, including enabling the automatic channel selection function, optimizing the network settings and controlling the access point of the signal booster or repeater.

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