Router performance detection method based on 5G network
The performance of 5G routers in different environments is predicted through the temperature and humidity sensor and analysis and calculation module, combined with real-time network rate comparison and the control of the heat dissipation and ventilation device, the problem that router performance detection in the prior art cannot predict the temperature and humidity environment, and improves the usable range and performance of the router.
Patent Information
- Application Number
- CN202510131727.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-06
- Publication Date
- 2025-05-13
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing 5G router performance detection methods cannot predict router performance through temperature and humidity environments, resulting in a smaller range of routers available in multiple environments.
The temperature and humidity data inside the router is obtained through the temperature and humidity sensor, signal conversion and analysis and calculation are performed, the current performance of the router is predicted, and compared with the real-time network rate, the heat dissipation and ventilation device is controlled to improve performance.
It realizes the prediction and detection of router performance in various temperature and humidity environments, improves the usable range of routers, and optimizes router performance through heat dissipation and ventilation devices.
Smart Images
Figure CN119996247A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of 5G routers, and more specifically to a router performance detection method based on a 5G network. Background Art
[0002] 5G network is the fifth generation of mobile communication network, which is characterized by high speed, low latency and large connection. It is a new generation of broadband mobile communication technology. Its peak theoretical transmission speed can reach 20Gbps, that is, 2.5GB per second, which is more than 10 times faster than the transmission speed of 4G network. 5G network is of great significance to the development of digital society.
[0003] Now, 5G router performance testing is usually carried out in a variety of ways. Some common methods include: throughput test, latency test, number of connections test, bandwidth utilization test and security test. Security testing includes firewall, intrusion detection and the ability to prevent DoS (denial of service) attacks. However, the above methods generally need to be carried out through the router's network line to achieve the detection effect of network speed and security performance.
[0004] However, the prior art still has the following defects: the performance of the router cannot be predicted by the temperature and humidity environment, resulting in the performance of the router in various temperature and humidity environments being unknown, making the range of environmental applications of the router relatively small. Summary of the invention
[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a router performance detection method based on a 5G network to solve the problems existing in the above-mentioned background technology.
[0006] The present invention provides the following technical solution: a router performance detection method based on a 5G network, comprising the following steps: Step S1: Obtaining the internal temperature and humidity data of the router when it is working through the temperature and humidity sensor; Step S2: Process the temperature and humidity data and convert them into recognizable digital signals ADC; Step S3: Analyze and calculate the converted temperature and humidity data; Step S4: After calculation, the current performance of the router can be estimated; Step S5: Compare and verify the prediction result with the real-time network rate to confirm whether the current temperature and humidity environment has an impact on the router; Step S6: Control the heat dissipation and ventilation device inside the router to start, and perform heat dissipation and ventilation inside the router. If the network rate is not affected, this operation is not performed.
[0007] Furthermore, in step S1 and step S2, the temperature and humidity sensor includes a temperature and humidity data acquisition unit and an analog-to-digital conversion unit, the temperature and humidity data acquisition unit is used to centrally organize the temperature and humidity data acquired by the temperature and humidity sensor, and the analog-to-digital conversion unit is used to convert the acquired temperature and humidity data signals into digital signals.
[0008] Furthermore, in step S3 and step S4, a data receiving unit, a central processing unit, a data transmission module, a data processing module and an analysis and calculation module are included, and the data receiving unit, the data transmission module, the data processing module and the analysis and calculation module are all data-connected to the central processing unit.
[0009] Furthermore, the data receiving unit is used to receive the converted digital signal, the central processing unit is used to generate and issue instructions, the data transmission module is used to transmit the temperature and humidity data to the data processing module, the data processing module is used to parse the temperature and humidity data, and the analysis and calculation module is used to calculate the impact of the temperature and humidity data on the current router performance, wherein the analysis and calculation module can predict the current performance of the router based on the real-time temperature and humidity data detected by the temperature and humidity sensor, complete the detection of the router performance, and can predict the router performance under a variety of temperature and humidity environments, thereby improving the range of use of the router.
[0010] Furthermore, in the step S5, a verification module and a network transmission rate detection module are included. The network transmission rate detection module is used to detect the real-time network speed performance of the router, and the verification module is used to verify whether the analysis and calculation results are correct. The verification module is data-connected to the analysis and calculation module and the network transmission rate detection module, and the network transmission rate detection module is data-connected to the central processing unit. The verification module is also used to compare the prediction result trend with the router's optimal performance network transmission rate trend, and is used to analyze the changes in the router performance at this time under the path and the optimal router performance, so as to further improve the analysis of the impact of the temperature and humidity environment on the router performance.
[0011] Furthermore, the data processing module processes the temperature and humidity data of n paths, where the n paths represent a variety of temperature and humidity conditions, and performs calculation and analysis on the n paths through the analysis and calculation module, which has the following steps: Step 1: The data processing module receives temperature and humidity data; Step 2: Divide the n paths into n1, n2, n3, n4, n5, ... ni, and the path range is ( , ), where T and H represent the actual temperature and humidity detected, and It represents the maximum and minimum temperature range in the path. and It represents the maximum and minimum humidity range in the path. This threshold represents a path condition and is used to calculate the performance of routers in different paths. Step 3: Extract features of the temperature and humidity data in each path, where the features include the mean of the temperature and humidity data, to provide more comprehensive data for router performance calculation; Step 4: Analyze and calculate the impact of each path through the analysis and calculation module, and predict the router performance through temperature and humidity data; Step 5: Use the verification module to compare the calculated predicted network speed with the real-time detected network speed to verify whether the result is correct.
[0012] Furthermore, in the step S6, a heat dissipation and ventilation device and a feedback unit are included, the heat dissipation and ventilation device is electrically connected to the central processing unit and the feedback unit, the feedback unit is data connected to the central processing unit, the heat dissipation and ventilation device is used to dissipate heat and ventilation inside the router, and the feedback unit is used to feedback the usage status of the heat dissipation and ventilation device.
[0013] Furthermore, step S6 also includes the following steps: S601: According to different calculation results, the central processing unit issues instructions to control the power and usage time of the heat dissipation and ventilation device to improve the performance of the router; S602: The feedback unit provides real-time feedback on the use status of the heat dissipation and ventilation device, and makes timely adjustments.
[0014] Furthermore, the analog-to-digital conversion unit is data-connected to the data receiving unit.
[0015] Furthermore, the verification module stores router performance data, and the router performance data includes the trend of the router's optimal network transmission rate.
[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. This application can predict the current performance of the router according to the real-time temperature and humidity data detected by the temperature and humidity sensor by analyzing the settings of the calculation module, complete the detection of the router performance, and predict the performance of the router under various temperature and humidity environments, thereby increasing the usable range of the router; 2. This application sets up a verification module, which is used to verify the difference between the two, which are the predicted impact results and the real-time performance of the router, thereby confirming the accuracy of the predicted results and proving that the temperature and humidity environment has an impact on the performance of the router, so as to improve the accuracy of the predicted results; 3. The present invention records the usage status of the heat dissipation and ventilation device in real time through the setting of a feedback unit, the usage status including the power used and the usage time, and feeds it back to the central processing unit, recording how long it takes to ventilate and dissipate heat with this power in the current environment to improve the performance of the router, so as to calculate how long it takes for a router located on a certain path to improve its performance, thereby expanding the scope of use of the router. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 It is a schematic diagram of the use process of the present invention.
[0018] Figure 2 It is a connection diagram of the temperature and humidity sensor, the temperature and humidity data acquisition unit and the analog-to-digital conversion unit in the present invention.
[0019] Figure 3 It is a connection diagram of the data receiving unit, central processing unit, data transmission module, data processing module, analysis and calculation module, verification module, network transmission rate detection module, feedback unit and heat dissipation and ventilation device in the present invention. DETAILED DESCRIPTION
[0020] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following implementation modes are merely illustrative. The router performance detection method based on the 5G network involved in the present invention is not limited to the various structures recorded in the following implementation modes. All other implementation modes obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.
[0021] See also Figure 1 , Figure 2 and Figure 3 As shown, the present invention provides a router performance detection method based on a 5G network, comprising the following steps: Step S1: Obtaining the internal temperature and humidity data of the router when it is working through the temperature and humidity sensor; Step S2: Process the temperature and humidity data and convert them into recognizable digital signals ADC; Step S3: Analyze and calculate the converted temperature and humidity data; Step S4: After calculation, the current performance of the router can be estimated; Step S5: Compare and verify the prediction result with the real-time network rate to confirm whether the current temperature and humidity environment has an impact on the router; Step S6: Control the heat dissipation and ventilation device inside the router to start, and perform heat dissipation and ventilation inside the router. If the network rate is not affected, this operation is not performed.
[0022] First, the temperature and humidity data of the current location of the router is obtained through temperature and humidity sensors, and then the temperature and humidity data are converted into signals. After the processing is completed, the data is substituted into the calculation to predict the performance of the router in this environment. The predicted result is compared with the real-time performance to confirm the accuracy of the predicted result, thereby proving that the temperature and humidity environment has an impact on the performance of the router. Then the heat dissipation ventilation device can be controlled to start, and the heat dissipation ventilation device can be used for ventilation and heat dissipation at different powers and times in different temperature and humidity environments. The use status of the heat dissipation ventilation device is recorded in real time through the feedback unit. The use status includes the power used and the use time, and it is fed back to the central processing unit to record how long it takes to ventilate and dissipate heat at this power in the current environment to improve the performance of the router, so that it can be calculated how long it takes for a router located on a certain path to improve its performance.
[0023] See also Figure 1 , Figure 2 and Figure 3 As shown, in step S1 and step S2, the temperature and humidity sensor includes a temperature and humidity data acquisition unit and an analog-to-digital conversion unit, the temperature and humidity data acquisition unit is used to centrally organize the temperature and humidity data acquired by the temperature and humidity sensor, the analog-to-digital conversion unit is used to convert the acquired temperature and humidity data signals into digital signals, and the analog-to-digital conversion unit is data-connected to the data receiving unit.
[0024] The temperature and humidity sensor detects the temperature and humidity data when the router is in use, which are collected by the temperature and humidity data acquisition unit and processed centrally, and then converted into digital signals (ADC) by the analog-to-digital conversion unit for easy processing by the central processing unit.
[0025] See also Figure 1 , Figure 2 and Figure 3 As shown, in the step S3 and step S4, a data receiving unit, a central processing unit, a data transmission module, a data processing module and an analysis and calculation module are included, and the data receiving unit, the data transmission module, the data processing module and the analysis and calculation module are all data-connected to the central processing unit, the data receiving unit is used to receive the converted digital signal, the central processing unit is used to generate and issue instructions, the data transmission module is used to transmit the temperature and humidity data to the data processing module, the data processing module is used to parse the temperature and humidity data, and the analysis and calculation module is used to calculate the impact of the temperature and humidity data on the performance of the current router.
[0026] The detected temperature and humidity data are collected by the data receiving unit and transmitted to the data processing unit through the central processing unit and the data transmission unit. The data processing unit divides and preprocesses multiple groups of temperature and humidity data and performs feature extraction. The processed data is calculated by the analysis and calculation module to predict the impact of the temperature and humidity environment on the performance of the router. After the impact occurs, the central processing unit can issue instructions to the heat dissipation and ventilation device to accelerate the ventilation and heat dissipation of the router through the heat dissipation and ventilation device. The feedback unit records the usage status of the heat dissipation and ventilation device in real time. The usage status includes the power used and the usage time, and feeds it back to the central processing unit to record in the current environment, that is, in the current path, how long it takes to ventilate and dissipate heat with this power to improve the performance of the router, so as to calculate how long it takes for a router located on a certain path to improve its performance.
[0027] See also Figure 1 , Figure 2 and Figure 3 As shown, in the step S5, a verification module and a network transmission rate detection module are included, the network transmission rate detection module is used to detect the real-time network speed performance of the router, the verification module is used to verify whether the analysis and calculation results are correct, the verification module is data-connected with the analysis and calculation module and the network transmission rate detection module, the network transmission rate detection module is data-connected with the central processing unit, the verification module stores router performance data, and the router performance data includes the optimal network transmission rate trend of the router.
[0028] The verification module is also used to compare the prediction result trend with the router's best performance network transmission rate trend, to analyze the change between the router performance at this time and the best router performance under this path, and to further improve the analysis of the impact of temperature and humidity environment on router performance; For the temperature and humidity data in a single path, the following formula can be used to reflect the impact of the current path on the router performance:
[0029] in, Represents the relationship between router performance and temperature and humidity, and assumes it to be a nonlinear function, ( are parameter equations, representing the change paths of temperature and humidity, s is the path parameter, a and b in the The starting and ending points of the curve are represented by , and they represent the starting and ending points of the curve integral, so that the impact of changes in temperature and humidity on router performance can be predicted. The curve integral integrates the router performance function along the path to obtain the total impact of changes in temperature and humidity on router performance.
[0030] See also Figure 1 , Figure 2 and Figure 3 As shown, the data processing module processes the temperature and humidity data of n paths, where the n paths represent various temperature and humidity conditions, and the analysis and calculation module performs calculation and analysis on the n paths, which has the following steps: Step 1: The data processing module receives temperature and humidity data; Step 2: Divide the n paths into n1, n2, n3, n4, n5, ... ni, and the path range is ( , ), where T and H represent the actual temperature and humidity detected, and It represents the maximum and minimum temperature range in the path. and It represents the maximum and minimum humidity range in the path. This threshold represents a path condition and is used to calculate the performance of routers in different paths. Step 3: Extract features of the temperature and humidity data in each path, where the features include the mean of the temperature and humidity data, to provide more comprehensive data for router performance calculation; Step 4: Analyze and calculate the impact of each path through the analysis and calculation module, and predict the router performance through temperature and humidity data; Step 5: Use the verification module to compare the calculated predicted network speed with the real-time detected network speed to verify whether the result is correct.
[0031] When the analysis and calculation module calculates the impact of n paths on the router, the following formula can be used for calculation:
[0032] in represents the sum of the impacts on n paths, Indicates the temperature and humidity changes along the path. Describe the impact of temperature and humidity on router performance, where Indicates temperature, Indicates humidity, Represents the length of the infinitesimal element on the path and is used for path integration. Indicates The temperature and humidity conditions under different paths can be comprehensively considered through curve integration; First, the temperature and humidity data of the router when in use can be collected through the temperature and humidity sensor, and the data can be collected through the temperature and humidity data collection unit, and then the data can be converted into a digital signal through the analog-to-digital conversion unit, and the multi-path temperature and humidity data can be transmitted to the data processing module through the central processing unit and the data transmission module. The temperature and humidity data of multiple groups of paths are divided by the data processing module, and the division logic is ( , ), divided by the respective threshold ranges of temperature and humidity, thus forming n paths, which is convenient for calculation through a variety of different path conditions, and more comprehensively evaluating the impact of different temperature and humidity conditions on router performance. The analysis and calculation module relies on the temperature and humidity data in different paths for analysis and calculation, so as to predict the performance status of the router under this path, and then the prediction result is verified by the verification module. Taking the network transmission rate in router performance as an example, the predicted network transmission rate trend is compared with the real-time detected network transmission rate trend. The verification module verifies the difference between the two and confirms the accuracy of the prediction result, thereby proving that the temperature and humidity environment has an impact on router performance. If there is a difference, adjust the parameters in the formula, adjust the weight of the impact of temperature and humidity on performance, the coefficient of the nonlinear relationship, etc., to improve the accuracy of the prediction result.
[0033] See also Figure 1 , Figure 2 and Figure 3 As shown, in the step S6, a heat dissipation and ventilation device and a feedback unit are included, the heat dissipation and ventilation device is electrically connected to the central processing unit and the feedback unit, the feedback unit is data connected to the central processing unit, the heat dissipation and ventilation device is used to perform heat dissipation and ventilation for the inside of the router, and the feedback unit feeds back the use status of the heat dissipation and ventilation device, and the step S6 also includes the following steps: S601: According to different calculation results, the central processing unit issues instructions to control the power and usage time of the heat dissipation and ventilation device to improve the performance of the router; S602: The feedback unit provides real-time feedback on the use status of the heat dissipation and ventilation device, and makes timely adjustments.
[0034] When the temperature and humidity environment inside the router affects the performance of the router, the heat dissipation and ventilation device is used to ventilate and dissipate heat inside the router, and the feedback unit feeds back the use status of the heat dissipation and ventilation device to the central processing unit. The use status includes the power used and the use time of the heat dissipation and ventilation device, and the duration of the use at this power is recorded, so that the performance of the router is restored; It should be noted that the router performance data includes the router's optimal network transmission rate trend, which is provided by the network transmission rate detection module. When the network transmission rate is restored, the router performance is restored, thereby detecting the time required for the router to restore high performance under a certain temperature and humidity environment.
[0035] Any of the steps described above may be stored as computer instructions or programs in an unlimited computer memory, and may be called and recognized by an unlimited computer processor to implement any step in the embodiments of the present application, without any unnecessary restrictions.
[0036] The above is only a specific implementation of the present invention, and any other improvements made based on the concept of the present invention are considered to be within the protection scope of the present invention.
Claims
1. A router performance detection method based on 5G network, characterized in that: The following steps are involved: Step S1: Obtaining the internal temperature and humidity data of the router when it is working through the temperature and humidity sensor; Step S2: Process the temperature and humidity data and convert them into recognizable digital signals ADC; Step S3: Analyze and calculate the converted temperature and humidity data; Step S4: After calculation, the current performance of the router can be estimated; Step S5: Compare and verify the prediction result with the real-time network rate to confirm whether the current temperature and humidity environment has an impact on the router; Step S6: Control the heat dissipation and ventilation device inside the router to start, and perform heat dissipation and ventilation inside the router. If the network rate is not affected, this operation is not performed.
2. According to a 5G network-based router performance detection method according to claim 1, it is characterized in that: In step S1 and step S2, the temperature and humidity sensor includes a temperature and humidity data acquisition unit and an analog-to-digital conversion unit. The temperature and humidity data acquisition unit is used to centrally organize the temperature and humidity data acquired by the temperature and humidity sensor, and the analog-to-digital conversion unit is used to convert the acquired temperature and humidity data signals into digital signals.
3. According to a 5G network-based router performance detection method according to claim 1, it is characterized in that: In step S3 and step S4, a data receiving unit, a central processing unit, a data transmission module, a data processing module and an analysis and calculation module are included, and the data receiving unit, the data transmission module, the data processing module and the analysis and calculation module are all data-connected to the central processing unit.
4. A router performance detection method based on 5G network according to claim 3, characterized in that: The data receiving unit is used to receive the converted digital signal, the central processing unit is used to generate and issue instructions, the data transmission module is used to transmit the temperature and humidity data to the data processing module, the data processing module is used to parse the temperature and humidity data, and the analysis and calculation module is used to calculate the impact of the temperature and humidity data on the current router performance.
5. According to a 5G network-based router performance detection method according to claim 1, it is characterized in that: In the step S5, a verification module and a network transmission rate detection module are included. The network transmission rate detection module is used to detect the real-time network speed performance of the router, and the verification module is used to verify whether the analysis and calculation results are correct. The verification module is data-connected to the analysis and calculation module and the network transmission rate detection module, and the network transmission rate detection module is data-connected to the central processing unit.
6. A router performance detection method based on 5G network according to claim 3, characterized in that: The data processing module processes the temperature and humidity data of n paths, where the n paths represent various temperature and humidity conditions, and performs calculation and analysis on the n paths through the analysis and calculation module, which has the following steps: Step 1: The data processing module receives temperature and humidity data; Step 2: Divide the n paths into n1, n2, n3, n4, n5, ... ni, and the path range is ( , ), where T and H represent the actual temperature and humidity detected, and It represents the maximum and minimum temperature range in the path. and It represents the maximum and minimum humidity range in the path. This threshold represents a path condition and is used to calculate the performance of routers in different paths. Step 3: Extract features of the temperature and humidity data in each path, where the features include the mean of the temperature and humidity data, to provide more comprehensive data for router performance calculation; Step 4: Analyze and calculate the impact of each path through the analysis and calculation module, and predict the router performance through temperature and humidity data; Step 5: Use the verification module to compare the calculated predicted network speed with the real-time detected network speed to verify whether the result is correct.
7. A router performance detection method based on 5G network according to claim 1, characterized in that: In the step S6, a heat dissipation and ventilation device and a feedback unit are included. The heat dissipation and ventilation device is electrically connected to the central processing unit and the feedback unit. The feedback unit is data connected to the central processing unit. The heat dissipation and ventilation device is used to dissipate heat and ventilation inside the router. The feedback unit is used to feedback the usage status of the heat dissipation and ventilation device.
8. A router performance detection method based on 5G network according to claim 1, characterized in that: The step S6 also includes the following steps: S601: According to different calculation results, the central processing unit issues instructions to control the power and usage time of the heat dissipation and ventilation device to improve the performance of the router; S602: The feedback unit provides real-time feedback on the use status of the heat dissipation and ventilation device, and makes timely adjustments.
9. A router performance detection method based on 5G network according to claim 2, characterized in that: The analog-to-digital conversion unit is data-connected with the data receiving unit.
10. A router performance detection method based on 5G network according to claim 5, characterized in that: The verification module stores router performance data, and the router performance data includes a trend of a router network transmission rate.