NETWORK EQUIPMENT MONITORING AND ANALYSIS AID AND GUIDANCE METHOD, AND TERMINAL DEVICE AND READABLE STORAGE MEDIUM THEREOF
20230239226 · 2023-07-27
Inventors
Cpc classification
International classification
Abstract
A network equipment monitoring analysis aid and guidance method, and its terminal device and readable storage medium are disclosed. The method is loaded into an equipment to execute the steps of collecting a history total traffic of a terminal device connected to the equipment; capturing a history time period traffic of each time period of the terminal device; analyzing the history total traffic and the history time period traffic by a quantitative analysis to generate a quantitative information of the terminal device; and presenting a corresponding guide information on a user interface according to the quantitative information. The guide information can be used to clearly mark a network traffic level of each terminal device in each time period and present it in a user interface, so as to visually present a network user's network activity behavior, guide parental use and monitoring, and set guidelines for members.
Claims
1. A network equipment monitoring analysis aid and guidance method, loaded by an equipment to execute the following steps, and the method comprising the steps of: collecting a history total traffic of at least one terminal device connected to the equipment; capturing a history time period traffic of each time period of the terminal device; analyzing the history total traffic and the history time period by a quantitative analysis to generate at least one quantitative information of at least one of the terminal devices; and presenting at least one corresponding guide information on a user interface according to the quantitative information.
2. The network equipment monitoring analysis aid and guidance method according to claim 1, further comprising the steps of: calculating a standard deviation of the history total traffic in the terminal device; calculating a standard score of the terminal device according to the standard deviation; and generating the quantitative information of at least one of the terminal devices by a quantitative analysis according to the standard score of the history total traffic.
3. The network equipment monitoring analysis aid and guidance method according to claim 1, further comprising the steps of: calculating a standard deviation of the history time period traffic in the terminal device; calculating a standard score of the terminal device according to the standard deviation; and generating the quantitative information of at least one of the terminal devices by a quantitative analysis according to the standard score of the history time period traffic.
4. The network equipment monitoring analysis aid and guidance method according to claim 2, further comprising the steps of: calculating a standard deviation of the history time period traffic in the terminal device; calculating a standard score of the history time period according to the standard deviation of the history time period traffic; calculating a bias of the standard score of the history time period according to the corresponding standard score of the terminal device; defining a history traffic level according to the biased standard score; and generating the quantitative information of at least one of the terminal devices according to the history traffic level.
5. The network equipment monitoring analysis aid and guidance method according to claim 1, further comprising the steps of: defining at least one trigger event corresponding to the quantitative information; monitoring a current traffic of the terminal device; and generating a push message, when the current traffic triggers the trigger event.
6. The network equipment monitoring analysis aid and guidance method according to claim 1, further comprising the steps of: presenting the corresponding quantitative information on a user interface.
7. A terminal device, comprising: a processor; and at least one storage device, for storing an instruction which is executed by the processor to realize the network equipment monitoring analysis aid and guidance method according to claim 1.
8. A terminal device, comprising: a data collection module, coupled to at least one terminal device, and provided for collecting a history total traffic and a history time period traffic of the terminal device; a quantitative analysis module, coupled to the data collection module, and provided for performing a quantitative analysis of the history total traffic and the history time period to generate at least one quantitative information of at least one of the terminal devices; a data presentation module, coupled to the quantitative analysis module, and provided for presenting the quantitative information of the corresponding terminal device; a push module, coupled to the quantitative analysis module, and provided for defining at least one trigger event corresponding to the quantitative information, and monitoring a current traffic of the terminal device, and generating a corresponding push message when the current traffic triggers the trigger event; and a guide module, coupled to the quantitative analysis module and the data presentation module, for generating at least one guide information according to the quantitative information.
9. A readable storage medium, for storing at least one instruction, and realizing the network equipment monitoring analysis aid and guidance method according to claim 1, when at least one of the instructions is executed.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0020] To make it easier for our examiner to understand the objective of the invention, its structure, innovative features, and performance, we use a preferred embodiment together with the attached drawings for the detailed description of the invention.
[0021] With reference to
[0022] Collect a history total traffic of at least one terminal device 2 connected to the terminal device 1; capture a history time period traffic at each time period of the terminal device 2; and perform a quantitative analysis of the history total traffic and the history time period to generate at least one quantitative information of at least one of the terminal devices 2.
[0023] The present invention uses the quantitative analysis as described above to collect the past traffic data at all time periods of connecting to the terminal device 2 and delete the invalid data, and then uses the quantitative method to convert data into information; wherein, the quantitative method can adopt a Gaussian operation. However, this is just an example provided for illustrating the present invention only, but not intended for limiting the scope of the invention. In other embodiments, other quantitative method can also be used to quantify the data. In this embodiment, the Gaussian distribution method is primarily used to calculate the history total traffic.
[0024] Firstly, the arithmetic mean μ.sub.D of the history total traffic of all terminal devices 2 is calculated by the mathematical formula 1 as given below:
[0025] where, d.sub.h,n is the history traffic of the h.sup.th terminal device 2 within the n.sup.th sample time period (such as unit hour); d.sub.h is for the total history traffic of one of the terminal devices 2; N is the total of all sample time periods of one of the terminal devices 1; H is the total number of terminal devices 2; and D is the total history traffic of all terminal devices 2.
[0026] Next, the population standard deviation or the sample standard deviation of the history total traffic of the terminal device 2 can be calculated. The population standard deviation σ.sub.D is calculated by the mathematical formula 2 as given below:
[0027] Next, the standard score Z.sub.h of each terminal device 2 is calculated by the mathematical formula 3 as given below:
[0028] The quantitative information can be the aforementioned standard score, or the result obtained by data analysis based on the standard score. In an embodiment, the history total traffic of all terminal devices 2 can be divided into different levels such as high traffic, general traffic and low traffic to facilitate the graphic marking. In a preferred embodiment, the quantitative information is the level marking, that is, if the standard score Z.sub.h<−1, the level will be marked as low traffic; if −1≤Z.sub.h<1 then the level will be marked as general traffic; and if Z.sub.h≥1, then the level will be marked as high traffic, and the filter comparison value will be 1 and −1, representing a positive standard deviation and a negative standard deviation respectively, and the practical application scenarios between terminal devices can be dynamically adjusted, and its determination process is shown in
[0029] In an embodiment as shown in
[0030] Firstly, the arithmetic mean μ.sub.h, of the history time period traffic of a specific terminal device 2 (h) in N sample time (such as a week) is calculated by the mathematical formula 4 as given below:
[0031] where, d.sub.h,n is the history time period traffic of the h.sup.th terminal device 2 in the n.sup.th sample time period (such as an hour).
[0032] Then, a population standard deviation or a sample standard deviation of the terminal device 2 within the sample time period is calculated. The population standard deviation σ.sub.h can be calculated by the mathematical formula 5 as given below:
[0033] The standard score Z.sub.h,n in each sample time is calculated by the mathematical formula 6 as given below:
[0034] The quantitative information can be the aforementioned standard score of the history time period traffic, or a data analysis result. In a preferred embodiment, a bias between the standard score in a sample time and the standard score of the terminal device 2 is calculated by the mathematical formula 7 as given below:
Z.sub.Bias,h,n=Z.sub.h,n+Z.sub.h [Mathematical formula 7]
[0035] The biased standard score Z.sub.Bias,h,n can be converted into a sten score, and the traffic level of each terminal device 2 in each time period is marked with a level of the sten score and can be divided into different history traffic levels such as high traffic, general traffic, low traffic, and no traffic. In an embodiment, the quantitative information is defined as the time period interval of no/negligible traffic when Z.sub.Bias,h,n<2, the time period interval of low traffic when 2≤Z.sub.Bias,h,n<4, the interval period time of general traffic when 4≤Z.sub.Bias,h,n<8, and the history traffic interval of high traffic when Z.sub.Bias,h,n≥8, and the aforementioned filter comparison values 2, 4 and 8 represent the level comparison values of the sten scores, which can be used to dynamically adjust the practical application scenarios between terminal devices.
[0036] The quantitative information obtained from the quantitative analysis is presented as shown in
[0037] With reference to
[0038] a data collection module 11, connected to at least one terminal device 2 for collecting a history total traffic and a history time period traffic of the terminal device 2;
[0039] a quantitative analysis module 12, connected to the data collection module 11, for performing a quantitative analysis of the history total traffic and the history time period to generate at least one quantitative information of at least one of the terminal devices 2;
[0040] a data presentation module 13, connected to the quantitative analysis module 12, and provided for presenting the quantitative information of the corresponding terminal device 2;
[0041] a push module 14, connected to the quantitative analysis module 12, for defining at least one trigger event corresponding to the quantitative information, monitoring a current traffic of the terminal device 2, and generating a push message when the current traffic triggers the trigger event; and
[0042] a guide module 15, connected to the quantitative analysis module 12 and the data presentation module 13, for generating at least one guide information according to the quantitative information.
[0043] In this way, the present invention can use the aforementioned functional modules to execute the procedure of the present invention. In
[0044] In
[0045] The history record data presentation and the member narrative description guideline of each terminal device 2 in several time periods can be set, and the user interface allows the network administrator to create, delete, and update the member narrative description guideline, and further allows the network administrator to create the network usage schedule of a network equipment in the network and the member narrative description guideline, and the website filter function, edit the Internet access time period, set the prohibition of nighttime Internet access time period and the time period for prohibiting the Internet access, or turning on a slow Internet access function, and all these examples are used for the purpose of illustrating the present invention only, but not intended for limiting the scope of the invention.
[0046] While we have shown and described embodiment of the present invention, it should be clear to those skilled in the art that further embodiments may be made without departing from the scope of the present invention.