CN115442681A - Bandwidth speed measurement evaluation method, device and system and storage medium - Google Patents
Bandwidth speed measurement evaluation method, device and system and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q11/00—Selecting arrangements for multiplex systems
- H04Q11/0001—Selecting arrangements for multiplex systems using optical switching
- H04Q11/0062—Network aspects
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Abstract
The invention discloses a bandwidth speed measurement evaluation method, a device, a system and a storage medium, wherein the method comprises the following steps: screening out a silent ONU from a preset ONU, and removing the silent ONU from the preset ONU to obtain a target ONU; acquiring the second-level rate of each target ONU, and determining the maximum second-level rate recorded in a first preset statistical period as a second-level peak rate; and then performing bandwidth speed measurement evaluation on each target ONU according to the second-level peak value rate to obtain a speed measurement evaluation result. On one hand, the method and the device eliminate the silent ONU firstly so as to avoid the silent ONU from being regarded as the ONU with the bandwidth speed measurement not reaching the standard during the subsequent bandwidth speed measurement, thereby being beneficial to improving the accuracy during the bandwidth speed measurement evaluation; on the other hand, the method and the device can carry out prediction evaluation on the ONU corresponding to the user before the user initiates the bandwidth speed measurement operation, and determine the potential ONU which is likely to have the bandwidth speed measurement behavior according to the speed measurement evaluation result, thereby effectively reducing the user complaint problem.
Description
Technical Field
The present invention relates to the field of transmission technologies, and in particular, to a method, an apparatus, a system, and a storage medium for bandwidth velocity measurement evaluation.
Background
At present, if an operator wants to know whether a bandwidth speed measurement condition of a user reaches a standard, the operator needs to enable the user to initiate a bandwidth speed measurement operation. In general, a user initiates a bandwidth speed measurement operation when the current bandwidth utilization rate is not satisfied, or an operator initiates a bandwidth speed measurement operation when a related person is arranged to check the problem after receiving a complaint from the user. In addition, the bandwidth speed measurement behavior of the user is an unpredictable random behavior, and the current bandwidth speed measurement management method cannot predict and evaluate the bandwidth speed measurement behavior of the user, and cannot avoid the problem of user complaints naturally.
Therefore, how to perform speed measurement pre-evaluation on the bandwidth used by the user before the user initiates the bandwidth speed measurement operation has become a main research direction of various operators.
Disclosure of Invention
The invention mainly aims to provide a bandwidth speed measurement evaluation method, a device, a system and a storage medium, aiming at improving the accuracy of bandwidth speed measurement evaluation and effectively reducing the problem of complaints of users.
In order to achieve the above object, the present invention provides a bandwidth speed measurement evaluation method, which is applied to a bandwidth speed measurement evaluation system, wherein the bandwidth speed measurement evaluation system includes an optical network unit ONU, and the method includes the following steps:
screening out a silent ONU from preset ONUs, and removing the silent ONU from the preset ONUs to obtain a target ONU;
acquiring the second-level rate of each target ONU, and determining the maximum second-level rate of each target ONU recorded in a first preset statistical period as the second-level peak rate, wherein the second-level rate is the flow of each target ONU per second;
and performing bandwidth speed measurement evaluation on each target ONU according to the second-level peak rate to obtain a speed measurement evaluation result corresponding to each target ONU.
Preferably, the step of screening out the silent ONU from the preset ONUs includes:
determining statistical time points in a second preset statistical period according to a preset statistical time interval, and acquiring a total time point flow value recorded at each statistical time point;
screening out a plurality of statistical time points with the highest total value of the time point flow according to the preset time point screening number to serve as busy time statistical time points;
and acquiring busy hour flow values corresponding to the busy hour statistical time points of the preset ONU, and determining a silent ONU in the preset ONU according to the busy hour flow values.
Preferably, the step of determining a silent ONU in the preset ONU according to the busy hour flow value includes:
summarizing and counting the busy hour flow values of the preset ONUs to obtain the total busy hour flow value of the preset ONUs;
comparing the total busy hour flow value with a preset static flow threshold value respectively;
and determining the preset ONU with the total busy hour flow value lower than the preset static flow threshold value as the silent ONU.
Preferably, the step of acquiring the second-level rate of each target ONU comprises:
acquiring service second-level rate corresponding to each logic service flow in each target ONU;
and respectively counting the second-level speed of the service in each target ONU to obtain the second-level speed of each target ONU.
Preferably, the step of performing bandwidth speed measurement evaluation on each target ONU according to the second-level peak rate to obtain a speed measurement evaluation result corresponding to each target ONU includes:
acquiring the second-level peak rate of each target ONU in a third preset statistical period, taking the second-level peak rate as the target second-level peak rate of each target ONU, and determining the number of the target second-level peak rates as the total number of samples;
respectively comparing the target second-level peak rate of each target ONU with a corresponding preset rate standard-reaching threshold value;
counting the number of times that the target second-level peak rate in each target ONU is higher than the corresponding preset rate standard-reaching threshold value according to the comparison result, wherein the number of times is used as the standard-reaching sample number of each target ONU;
and respectively determining a sample ratio of the number of the standard-reaching samples in each target ONU to the corresponding total number of samples, and performing bandwidth speed measurement evaluation on each target ONU based on the sample ratio to obtain a speed measurement evaluation result corresponding to each target ONU.
Preferably, the step of performing bandwidth speed measurement evaluation on each target ONU based on the sample ratio to obtain a speed measurement evaluation result corresponding to each target ONU includes:
inputting the sample ratio into a preset normal distribution model, and performing bandwidth speed measurement evaluation on each target ONU according to the sample ratio to obtain the probability distribution condition of each sample ratio in the preset normal distribution model;
and determining a speed measurement evaluation result corresponding to each target ONU according to the probability distribution condition.
Preferably, the step of determining the speed measurement evaluation result corresponding to each target ONU according to the probability distribution condition includes:
if the probability distribution condition is that the target sample ratio is distributed in a preset speed measurement standard reaching probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the target sample ratio is that the speed measurement reaches the standard;
and if the probability distribution condition is that the target sample ratio is distributed in a preset speed measurement non-standard probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the target sample ratio is that the speed measurement is not standard.
In addition, in order to achieve the above object, the present invention further provides a bandwidth speed measurement evaluation device, including:
the rejection module is used for screening out the silent ONU from the preset ONU and rejecting the silent ONU from the preset ONU to obtain a target ONU;
the determining module is used for acquiring the second-level rate of each target ONU, and determining the maximum second-level rate of each target ONU recorded in a first preset statistical period as the second-level peak rate, wherein the second-level rate is the flow per second of each target ONU;
and the evaluation module is used for performing bandwidth speed measurement evaluation on each target ONU according to the second-level peak rate to obtain a speed measurement evaluation result corresponding to each target ONU.
Preferably, the culling module is further configured to:
determining statistical time points in a second preset statistical period according to a preset statistical time interval, and acquiring a total time point flow value recorded at each statistical time point;
screening out a plurality of statistical time points with the highest total value of the time point flow according to the preset time point screening number to serve as busy time statistical time points;
and acquiring busy hour flow values corresponding to the busy hour statistical time points of the preset ONU, and determining a silent ONU in the preset ONU according to the busy hour flow values.
Preferably, the culling module is further configured to:
summarizing and counting busy hour flow values of the preset ONUs to obtain a total busy hour flow value of the preset ONUs;
comparing the total busy hour flow value with a preset static flow threshold value respectively;
and determining the preset ONU with the total busy hour flow value lower than the preset static flow threshold value as the silent ONU.
Preferably, the determining module is further configured to:
acquiring service second-level rate corresponding to each logic service flow in each target ONU;
and respectively counting the second-level speed of the service in each target ONU to obtain the second-level speed of each target ONU.
Preferably, the evaluation module is further configured to:
acquiring the second-level peak rate of each target ONU in a third preset statistical period to serve as the target second-level peak rate of each target ONU, and determining the number of the target second-level peak rates as the total number of samples;
comparing the target second-level peak rate of each target ONU with a corresponding preset rate standard threshold value respectively;
counting the number of times that the target second-level peak rate in each target ONU is higher than a corresponding preset rate standard-reaching threshold value according to the comparison result, and taking the number of times as the standard-reaching sample number of each target ONU;
and respectively determining a sample ratio of the standard reaching sample number to the corresponding total sample number in each target ONU, and performing bandwidth speed measurement evaluation on each target ONU based on the sample ratio to obtain a speed measurement evaluation result corresponding to each target ONU.
Preferably, the evaluation module is further configured to:
inputting the sample ratio into a preset normal distribution model, and performing bandwidth speed measurement evaluation on each target ONU according to the sample ratio to obtain the probability distribution condition of each sample ratio in the preset normal distribution model;
and determining a speed measurement evaluation result corresponding to each target ONU according to the probability distribution condition.
Preferably, the evaluation module is further configured to:
if the probability distribution condition is that the target sample ratio is distributed in a preset speed measurement standard reaching probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the target sample ratio is that the speed measurement reaches the standard;
and if the probability distribution condition is that the target sample ratio is distributed in a preset speed measurement non-standard probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the target sample ratio is that the speed measurement is not standard.
In addition, in order to achieve the above object, the present invention further provides a bandwidth velocity measurement evaluation system, including: the bandwidth speed measurement evaluation method comprises a memory, a processor and a bandwidth speed measurement evaluation program which is stored on the memory and can run on the processor, wherein when the bandwidth speed measurement evaluation program is executed by the processor, the steps of the bandwidth speed measurement evaluation method are realized.
In addition, in order to achieve the above object, the present invention further provides a storage medium, where the storage medium stores a bandwidth speed measurement evaluation program, and the bandwidth speed measurement evaluation program, when executed by a processor, implements the steps of the bandwidth speed measurement evaluation method described above.
The invention provides a bandwidth speed measurement evaluation method, which is applied to a bandwidth speed measurement evaluation system, wherein the system comprises an Optical Network Unit (ONU), and the method comprises the following steps: screening out a silent ONU from the preset ONUs, and removing the silent ONU from the preset ONUs to obtain a target ONU; acquiring the second-level rate of each target ONU, and determining the maximum second-level rate of each target ONU acquired in a first preset statistical period as the second-level peak rate, wherein the second-level rate is the flow of each target ONU per second; and performing bandwidth speed measurement evaluation on each target ONU according to the second-level peak rate to obtain a speed measurement evaluation result corresponding to each target ONU. On one hand, when the bandwidth speed measurement pre-evaluation is carried out on the ONU corresponding to the user, the silent ONU is removed firstly, the situation that the silent ONU is regarded as the ONU with the bandwidth speed measurement not reaching the standard during the subsequent bandwidth speed measurement is avoided, and the accuracy during the bandwidth speed measurement evaluation is improved; on the other hand, the method and the device can perform prediction evaluation on the ONU corresponding to the user before the user initiates the bandwidth speed measurement operation, determine the potential ONU which is possibly subjected to the bandwidth speed measurement behavior in advance, and can effectively reduce the problem of user complaints.
Drawings
FIG. 1 is a system diagram of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a bandwidth velocity measurement evaluation method according to a first embodiment of the present invention;
fig. 3 is a schematic flowchart illustrating a method for evaluating bandwidth velocity measurement according to a preferred embodiment of the present invention;
FIG. 4 is a diagram illustrating a relationship between a second-level peak rate and a time in a preferred embodiment of the method for evaluating bandwidth velocity measurement according to the present invention;
fig. 5 is a schematic functional block diagram of a bandwidth velocity measurement evaluating method according to a preferred embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a system structural diagram of a hardware operating environment according to an embodiment of the present invention.
The system of the embodiment of the invention comprises an ONU (optical network unit), an OLT (optical cable terminal device), an analysis platform and the like.
As shown in fig. 1, the system may include: a processor 1001, e.g. a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory such as a disk memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the system architecture shown in FIG. 1 is not intended to be limiting of the system, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a computer storage medium, may include an operating system, a network communication module, a user interface module, and a bandwidth speed measurement evaluation program.
The operating system is a program for managing and controlling the bandwidth speed measurement evaluation system and software resources, and supports the operation of a network communication module, a user interface module, the bandwidth speed measurement evaluation program and other programs or software; the network communication module is used for managing and controlling the network interface 1002; the user interface module is used to manage and control the user interface 1003.
In the bandwidth speed measurement evaluation system shown in fig. 1, the bandwidth speed measurement evaluation system calls a bandwidth speed measurement evaluation program stored in a memory 1005 through a processor 1001, and performs operations in various embodiments of the bandwidth speed measurement evaluation method described below.
Based on the hardware structure, the embodiment of the bandwidth speed measurement evaluation method is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a bandwidth speed measurement evaluation method according to the present invention, where the method includes:
s10, screening out a silent ONU from preset ONUs, and removing the silent ONU from the preset ONUs to obtain a target ONU;
the bandwidth speed measurement evaluation method of the embodiment is applied to a bandwidth speed measurement evaluation system of each large operator, and the bandwidth speed measurement evaluation system of the embodiment comprises an ONU (Optical Network Unit), an OLT (Optical Line Terminal), and an analysis platform, wherein the ONU is a user end device of an access Network and can provide a plurality of user Network interfaces such as telephone, data communication, image and the like for a user; the OLT is terminal equipment connected with an optical fiber trunk line and is used for receiving statistical data uploaded by each ONU through the PON port and assembling and sending the statistical data to the analysis platform through the uplink port; the analysis platform is used for analyzing and evaluating the received data to obtain a corresponding speed measurement evaluation result.
At present, if an operator wants to know whether a bandwidth speed measurement condition of a user reaches a standard, the operator needs to enable the user to initiate a bandwidth speed measurement operation. In general, a user initiates a bandwidth speed measurement operation when the current bandwidth usage rate is not satisfied, or an operator initiates a bandwidth speed measurement operation when a relevant person is arranged to check the problem while visiting after receiving a complaint from the user. Because the bandwidth speed measurement behavior of the user is an unpredictable random behavior, the current bandwidth speed measurement management method cannot predict and evaluate the bandwidth speed measurement behavior of the user, and naturally cannot avoid the problem of customer complaints.
In addition, although the optical modem in the system also has certain bandwidth speed measurement capability, when the optical modem is used for bandwidth speed measurement, only the speed measurement condition from the optical modem to the user side or from the optical modem to the speed measurement server can be known, the real speed measurement condition from the user side to the speed measurement server cannot be reflected, and the problem of user complaints cannot be avoided when the optical modem is used for bandwidth speed measurement. Therefore, how to perform speed measurement pre-evaluation on the bandwidth used by the user before the user initiates the bandwidth speed measurement operation has become a main research direction of various operators.
In this embodiment, since the peak traffic is generally generated by a flux-type application, such as an OTT video (video service based on the open internet), downloading, and the like, the OLT may perform traffic identification on the OTT video, downloading, and the like, so as to screen out a user having a traffic usage behavior as a preset ONU. Because the preset ONU has low internet access requirement, the network uses less silent ONU, and in order to avoid the subsequent bandwidth speed measurement work, the silent ONU is regarded as the ONU with the bandwidth speed measurement which does not reach the standard, the silent ONU needs to be removed firstly, namely, the silent ONU is removed from the preset ONU, so that the target ONU for the bandwidth speed measurement evaluation is obtained, and the accuracy of the bandwidth speed measurement evaluation is improved.
Step S20, acquiring second-level rate of each target ONU, and determining the maximum second-level rate of each target ONU recorded in a first preset statistical period as a second-level peak rate, wherein the second-level rate is the flow per second of each target ONU;
in this embodiment, since the second-level rate is the amount of data transmitted by the target ONU per second, that is, the second-level rate is the traffic of the target ONU per second, and the network bandwidth is the amount of data that can be transmitted in a unit time (generally, 1 second), recording the second-level rate of the target ONU helps the operator to know the bandwidth of each user.
Further, the step of acquiring the second-level rate of each target ONU further includes:
step a1, acquiring service second-level rate corresponding to each logic service flow in each target ONU;
step a2, respectively counting the second-level speed of the service in each target ONU to obtain the second-level speed of each target ONU.
In this embodiment, as shown in fig. 3, the OLT in the bandwidth speed measurement and evaluation system further includes a PON (passive optical network) board and a main control board, and the PON board further includes a forwarding engine and a CPU, where the forwarding engine on the PON board counts data information such as a transceiver packet and a byte number of each logical service flow every second, where the logical service flow includes service flows such as when a user watches a video and browses a web page; the CPU on the PON board may periodically read data information uploaded by the forwarding engine, and perform summary statistics on logical service flows of the same target ONU. The method for locally calculating the second-level rate of the target ONU by the OLT includes the steps of acquiring the flow (service second-level rate) of each logic service flow in each target ONU, and then respectively summarizing and counting the flow of all logic service flows of each target ONU to obtain the second-level rate of each target ONU. Therefore, the bandwidth speed measurement and evaluation system does not need to communicate with the ONU through an OMCI (optical network unit Management and Control Interface) protocol, and the ONU is not needed to cooperate with data transmission, so that the second-level rate of each target ONU can be obtained, the period of data reporting is shortened, and the compatibility of the scheme in the current network deployment can be improved.
Furthermore, considering that the specification of the logical service flow of each ONU on the OLT is K-level, that is, the second-level speed unit of the service corresponding to the logical service flow is K/s, if data information such as the transmit-receive packet and the byte number of each logical service flow is read one by one and accumulated, the performance pressure of the bandwidth speed measurement evaluation system is greatly increased, therefore, in this embodiment, a DMA (Direct Memory Access) batch reading mode may be adopted to improve the reading performance, so that the peripheral device may directly Access the Memory through the DMA controller, and meanwhile, the CPU may still continue to execute the program. In addition, it is also considered that the reading performance is improved by reading through microcode, which is also called microinstruction and can be decomposed into a series of relatively simple instructions when a system runs some instructions with complex functions, so as to reduce the performance impact on the CPU.
In addition, the information can be compressed to save the flow of the reported data, and the OLT does not need to report the data to the analysis platform immediately after receiving the data uploaded by each target ONU, so that a first preset statistical period can be set according to actual application requirements, so that the OLT records the second-level rate of each target ONU within the statistical time, and thereby the maximum second-level rate of each target ONU within the statistical period, that is, the second-level peak rate, is determined. Assuming that the first preset statistical period is 1 minute, when the OLT counts the second-level rate of each target ONU second by second, the maximum second-level rate recorded in 1 minute is the second-level peak rate of the target ONU, and the OLT reports the recorded data to the analysis platform every 1 minute. When the OLT reports data, data information such as a maximum value (a second-level peak rate), a minimum value, and an average value of a second-level rate recorded within a first preset time may be reported to the analysis platform for use by the upper service platform.
And S30, performing bandwidth speed measurement evaluation on each target ONU according to the second-level peak rate to obtain a speed measurement evaluation result corresponding to each target ONU.
In this embodiment, the analysis platform performs statistical analysis on the second-level peak rate of each target ONU, so as to perform bandwidth speed measurement evaluation on the user corresponding to each target ONU, and obtain a corresponding speed measurement evaluation result, where the speed measurement evaluation result includes that the bandwidth speed measurement is up to standard and the bandwidth speed measurement is not up to standard. If the speed measurement evaluation result indicates that the bandwidth speed measurement reaches the standard, it indicates that the user corresponding to the target ONU does not have the situation that the bandwidth speed measurement does not reach the standard in the prediction period at a very high probability, so that the user with the bandwidth speed measurement reaching the standard can not be processed; if the speed measurement evaluation result is that the bandwidth speed measurement does not reach the standard, it is indicated that the bandwidth speed measurement does not reach the standard in the prediction period with a great probability, so that related technical personnel can be arranged to communicate with the user in time, or related personnel can be arranged to check the problem on the door, so as to avoid the problem of user complaints.
The bandwidth speed measurement evaluation method of the embodiment is applied to a bandwidth speed measurement evaluation system, the system comprises an optical network unit ONU, and the method comprises the following steps: screening out a silent ONU from preset ONUs, and removing the silent ONU from the preset ONUs to obtain a target ONU; acquiring the second-level rate of each target ONU, and determining the maximum second-level rate of each target ONU recorded in a first preset statistical period as the second-level peak rate, wherein the second-level rate is the flow of each target ONU per second; and performing bandwidth speed measurement evaluation on each target ONU according to the second-level peak rate to obtain a speed measurement evaluation result corresponding to each target ONU. On one hand, when the bandwidth speed measurement pre-evaluation is carried out on the ONU corresponding to the user, the silent ONU is removed firstly, the situation that the silent ONU is regarded as the ONU with the bandwidth speed measurement not reaching the standard during the subsequent bandwidth speed measurement is avoided, and the accuracy during the bandwidth speed measurement evaluation is improved; on the other hand, the method and the device can perform prediction evaluation on the ONU corresponding to the user before the user initiates the bandwidth speed measurement operation, determine the potential ONU which is possibly subjected to the bandwidth speed measurement behavior in advance, and can effectively reduce the problem of user complaints.
Further, based on the first embodiment of the bandwidth speed measurement evaluation method of the present invention, a second embodiment of the bandwidth speed measurement evaluation method of the present invention is provided.
The second embodiment of the bandwidth speed measurement evaluation method is different from the first embodiment of the bandwidth speed measurement evaluation method in that the step of screening out the silent ONU from the preset ONUs comprises:
step b1, determining statistical time points in a second preset statistical period according to a preset statistical time interval, and acquiring total time point flow values recorded at each statistical time point;
in this embodiment, in order to improve the accuracy of bandwidth speed measurement evaluation, a silent user whose flow value does not meet the standard in a statistical period due to less use of networks at ordinary times needs to be removed. The preset statistical time interval and the second preset statistical period can be set according to actual application requirements. For example, the second preset statistical period may be 24 hours all day long, the preset statistical time interval is 1 hour, that is, the statistics is performed once every other hour, therefore, the statistical time points include 0 point, 1 point, 2 point.
B2, screening out a plurality of statistical time points with the highest time point flow total value according to a preset time point screening number to serve as busy time statistical time points;
in this embodiment, in order to save the work of manually setting the busy hour counting time point, the preset time point screening number can be set according to the actual application requirement. Assuming that the preset time point screening number is 6, when the total time point flow values obtained within 24 hours all day are automatically sequenced through the OLT, the 6 statistical time points with the highest time point flow value can be screened out from the total time point flow values to serve as busy time statistical time points.
And b3, acquiring busy hour flow values corresponding to the busy hour statistical time points of the preset ONU, and determining a silent ONU in the preset ONU according to the busy hour flow values.
In this embodiment, if the busy hour statistical time points are 13 points, 14 points, 19 points, 20 points, 22 points, and 23 points, the busy hour traffic values recorded at the 6 busy hour statistical time points by the preset ONUs in the entire network are obtained to screen out the ONUs with lower busy hour traffic values, and the selected ONUs are determined as silent users. In addition, a silent user with low flow can be screened by a method of n-sigma or Box plot (Box plot), wherein n in the n-sigma is an abnormal data interception point selected in the screening process, sigma is a standard deviation of a flow value in busy time, and a value of n can be set according to actual application requirements to flexibly screen the silent user; the box diagram, also called box whisker diagram, box diagram or box diagram, is a statistical diagram used for displaying a group of data dispersion condition data, and the box diagram has the greatest advantage that the box diagram is not influenced by abnormal values, can accurately and stably depict the dispersion condition of the data, and is also beneficial to cleaning the data.
Further, the step of determining a silent ONU in the preset ONU according to the busy hour flow value comprises:
step c1, summarizing and counting busy hour flow values of the preset ONUs to obtain a total busy hour flow value of the preset ONUs;
step c2, comparing the total flow value of each busy hour with a preset static flow threshold value respectively;
and c3, determining the preset ONU with the total busy hour flow value lower than the preset static flow threshold value as the silent ONU.
In this embodiment, the total busy hour flow value of the 6 busy hour flow values can be obtained by summarizing and counting the 6 busy hour flow values corresponding to each preset ONU, so as to obtain the total busy hour flow value of each preset ONU at the 6 busy hour counting time point; and comparing the total busy hour flow value of each preset ONU with a preset static flow threshold value respectively, and determining the preset ONU with the total busy hour flow value lower than the preset static flow threshold value as a silent ONU. It can be understood that the busy hour flow values recorded at the busy hour counting time points with the highest network use demand can objectively reflect the flow use conditions of each preset ONU at the busy hour counting time points, then the busy hour flow values of each preset ONU are summarized and counted to obtain the busy hour flow total values, and the busy hour flow total values are respectively compared with the preset static flow threshold values, so that the silent ONU in the preset ONUs can be quickly screened out.
In the bandwidth speed measurement evaluation method of this embodiment, the total busy hour flow value recorded at the busy hour counting time point is compared with the preset static flow threshold value, so as to screen out the silent ONU in the preset ONU, so as to remove the silent ONU from the preset ONU to obtain the target ONU, and the accuracy of performing bandwidth speed measurement evaluation on the target ONU can be improved.
Further, based on the first and second embodiments of the bandwidth speed measurement evaluation method of the present invention, a third embodiment of the bandwidth speed measurement evaluation method of the present invention is provided.
The third embodiment of the method for evaluating bandwidth speed measurement is different from the first and second embodiments of the method for evaluating bandwidth speed measurement in that the step S30 further includes:
step d1, acquiring the second-level peak rate of each target ONU in a third preset statistical period as the target second-level peak rate of each target ONU, and determining the number of the target second-level peak rates as the total sample number;
step d2, comparing the target second-level peak rate of each target ONU with a corresponding preset rate standard threshold value respectively;
step d3, counting the number of times that the target second-level peak rate in each target ONU is higher than the corresponding preset rate standard-reaching threshold value according to the comparison result, and taking the number of times as the standard-reaching sample number of each target ONU;
and d4, respectively determining a sample ratio of the number of the samples reaching the standard in each target ONU to the corresponding total number of samples, and performing bandwidth speed measurement evaluation on each target ONU based on the sample ratio to obtain a speed measurement evaluation result corresponding to each target ONU.
In this embodiment, the third preset statistical period may be set according to actual application requirements, a second-level peak rate of each target ONU during the application use period of the OTT video, downloading, and the like may be obtained as the target second-level peak rate, and the number of the target second-level peak rates in each target ONU is counted as the total sample number N. Different users may subscribe to different bandwidth packages, so the preset rate reaching thresholds corresponding to different target ONUs may be different. For example, the bandwidth package subscribed by the target ONU1 is package a, the subscription bandwidth in package a is a, and the corresponding preset rate meeting threshold value may be 80% of the subscription bandwidth, that is, 80%; if the bandwidth package ordered by the target ONU2 is package B and the contracted bandwidth in package B is B, the corresponding preset rate meeting threshold value may be 700% of the contracted bandwidth, that is, 70% B.
As shown in fig. 4, the contracted bandwidth BW refers to the highest achievable rate from the user terminal to the operator access device, as specified in the broadband service agreement with the user by the operator. Because the user is also influenced by the configuration of software and hardware of the user computer, the address of a browsed website, the bandwidth of an opposite-end website and the like when surfing the internet, the speed of the user when surfing the internet is usually lower than a theoretical speed value, and therefore, the acquired second-level peak speed cannot be higher than the signed bandwidth, a preset speed standard threshold value T corresponding to each target ONU needs to be set, and if the second-level peak speed is higher than T, the bandwidth speed measurement can be regarded as up to the standard. Specifically, the target second-level peak rate obtained by each target ONU in the third preset period is respectively compared with the preset rate standard-reaching threshold value of the corresponding package, so as to obtain the cumulative number of times that the target second-level peak rate in each target ONU is higher than T, and the cumulative number of times recorded by each target ONU is used as the standard-reaching sample number M; and then calculating the rate satisfaction rate of each target ONU, namely calculating the sample ratio M/N of the number of the standard samples in each target ONU and the corresponding total number of the samples. When the bandwidth speed measurement evaluation is performed according to the sample ratio, the higher the sample ratio is, the higher the bandwidth speed measurement standard-reaching probability of the target ONU is, and therefore, the higher the possibility that the bandwidth speed measurement standard-reaching is the speed measurement evaluation result corresponding to the target ONU is.
In the bandwidth speed measurement evaluation method of this embodiment, the target second-level peak rates of the target ONUs are respectively compared with the corresponding preset rate standard-reaching threshold values to obtain standard-reaching sample numbers, and then the sample ratio of the standard-reaching sample numbers in each target ONU to the corresponding total sample number is calculated, so that the bandwidth speed measurement standard-reaching probability of each target ONU can be evaluated more accurately and reasonably to obtain the corresponding speed measurement evaluation result.
Further, based on the first, second, and third embodiments of the bandwidth speed measurement evaluation method of the present invention, a fourth embodiment of the bandwidth speed measurement evaluation method of the present invention is provided.
The fourth embodiment of the bandwidth speed measurement evaluation method is different from the first, second, and third embodiments of the bandwidth speed measurement evaluation method in that the step of performing bandwidth speed measurement evaluation on each target ONU based on the sample ratio to obtain a speed measurement evaluation result corresponding to each target ONU comprises:
step e1, inputting the sample ratio into a preset normal distribution model, and performing bandwidth speed measurement evaluation on each target ONU according to the sample ratio to obtain the probability distribution condition of each sample ratio in the preset normal distribution model;
and e2, determining a speed measurement evaluation result corresponding to each target ONU according to the probability distribution condition.
In this embodiment, because the internet access behavior of the user is random and unpredictable, the calculated sample ratio is also a random variable and obeys normal distribution, and therefore, the sample ratio can be input into the preset normal distribution model, and the probability distribution condition of each sample ratio in the preset normal distribution model can be obtained, so as to determine the speed measurement evaluation result corresponding to each target ONU according to the probability distribution condition. Specifically, the probability density formula of normal distribution is:
wherein σ>0, σ, μ are constants, and when the sample ratio follows a normal distribution with the parameters σ, μ, it can be recorded as X-N (μ, σ) 2 ). When μ is fixed, the σ value is changed, and as the maximum value of f (x) is found, the larger σ is, the flatter the graph of f (x) becomes, which indicates that the sample data distribution is more dispersed; when σ is smaller, the graph of f (x) becomes steeper, indicating that the sample data distribution is more concentrated. In particular, when μ =0, σ 2 If =1, then X is said to follow a standard normal distribution, i.e., X to N (0, 1), and the corresponding probability density function is:
the normal distribution model can cover the event with the largest occurrence probability in a main probability distribution interval (namely, within mu +/-3 sigma), specifically, the probability that the sample ratio falls within the mu +/-sigma range is 68.27%, the probability that the sample ratio falls within the mu +/-1.96 sigma range is 95%, and the probability that the sample ratio falls within the mu +/-2.58 sigma range is 99%.
Further, step e2 further comprises:
step e21, if the probability distribution condition is that the target sample ratio is distributed in a preset speed measurement standard reaching probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the target sample ratio is that the speed measurement reaches the standard;
and e22, if the probability distribution condition is that the target sample ratio is distributed in a preset speed measurement non-standard probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the target sample ratio is that the speed measurement is not standard.
In this embodiment, a preset speed measurement achievement/non-achievement probability region may be set according to actual application requirements, for example, the preset speed measurement achievement probability region may be a probability range of μ ± 1.96 σ, then the preset speed measurement non-achievement probability region may be a probability range other than μ ± 1.96 σ, and if the sample ratio is distributed in the preset speed measurement achievement probability region, it may be determined that the speed measurement evaluation result of the target ONU corresponding to the sample ratio is that the speed measurement is up to the standard; and if the sample ratio is distributed in a preset speed measurement non-standard probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the sample ratio is that the speed measurement is not standard.
According to the bandwidth speed measurement evaluation method, the sample ratio is input into the preset normal distribution model, and the target ONU with the standard speed measurement and the target ONU with the substandard speed measurement can be rapidly statistically analyzed.
The invention also provides a bandwidth speed measurement evaluation device. Referring to fig. 5, the bandwidth velocity measurement evaluation apparatus of the present invention includes:
the rejecting module 10 is configured to screen out a silent ONU from preset ONUs, and reject the silent ONU from the preset ONUs to obtain a target ONU;
a determining module 20, configured to obtain a second-level rate of each target ONU, and determine a maximum second-level rate of each target ONU recorded in a first preset statistical period as a second-level peak rate, where the second-level rate is a flow rate of each target ONU per second;
and the evaluation module 30 is configured to perform bandwidth speed measurement evaluation on each target ONU according to the second-level peak rate, so as to obtain a speed measurement evaluation result corresponding to each target ONU.
Preferably, the bandwidth speed measurement evaluation device further includes a screening module, and the screening module is configured to:
determining statistical time points in a second preset statistical period according to a preset statistical time interval, and acquiring a total time point flow value recorded at each statistical time point;
screening out a plurality of statistical time points with the highest total value of the time point flow according to the preset time point screening number to serve as busy time statistical time points;
acquiring busy hour flow values corresponding to the busy hour statistical time points of preset ONUs, and determining silent ONUs in the preset ONUs according to the busy hour flow values;
and removing the silent ONU from the preset ONU to obtain a target ONU.
Preferably, the screening module further comprises a comparing unit, and the comparing unit is configured to:
summarizing and counting the busy hour flow values of the preset ONUs to obtain the total busy hour flow value of the preset ONUs;
comparing the total busy hour flow value with a preset static flow threshold value respectively;
and determining the preset ONU with the total busy hour flow value lower than the preset static flow threshold value as the silent ONU.
Preferably, the determining module is further configured to:
acquiring service second-level rate corresponding to each logic service flow in each target ONU;
and respectively counting the second-level speed of the service in each target ONU to obtain the second-level speed of each target ONU.
Preferably, the evaluation module is further configured to:
acquiring the second-level peak rate of each target ONU in a third preset statistical period to serve as the target second-level peak rate of each target ONU, and determining the number of the target second-level peak rates as the total number of samples;
respectively comparing the target second-level peak rate of each target ONU with a corresponding preset rate standard-reaching threshold value;
counting the number of times that the target second-level peak rate in each target ONU is higher than a corresponding preset rate standard-reaching threshold value according to the comparison result, and taking the number of times as the standard-reaching sample number of each target ONU;
and respectively determining a sample ratio of the standard reaching sample number to the corresponding total sample number in each target ONU, and performing bandwidth speed measurement evaluation on each target ONU based on the sample ratio to obtain a speed measurement evaluation result corresponding to each target ONU.
Preferably, the evaluation module is further configured to:
inputting the sample ratio into a preset normal distribution model, and performing bandwidth speed measurement evaluation on each target ONU according to the sample ratio to obtain the probability distribution condition of each sample ratio in the preset normal distribution model;
and determining a speed measurement evaluation result corresponding to each target ONU according to the probability distribution condition.
Preferably, the evaluation module is further configured to:
if the probability distribution condition is that the target sample ratio is distributed in a preset speed measurement standard reaching probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the target sample ratio is that the speed measurement reaches the standard;
and if the probability distribution condition is that the target sample ratio is distributed in a preset speed measurement non-standard probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the target sample ratio is that the speed measurement is not standard.
The invention also provides a storage medium.
The storage medium of the invention stores a bandwidth speed measurement evaluation program, and the bandwidth speed measurement evaluation program realizes the steps of the bandwidth speed measurement evaluation method when being executed by a processor.
The embodiments of the bandwidth speed measurement evaluation device, the bandwidth speed measurement evaluation system, and the storage medium of the present invention can refer to the embodiments of the bandwidth speed measurement evaluation method of the present invention, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or the portions contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for enabling a terminal system (which may be a mobile phone, a computer, a server, an air conditioner, or a network system, etc.) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A bandwidth speed measurement evaluation method is applied to a bandwidth speed measurement evaluation system, the bandwidth speed measurement evaluation system comprises an Optical Network Unit (ONU), and the method comprises the following steps:
screening out a silent ONU from preset ONUs, and removing the silent ONU from the preset ONUs to obtain a target ONU;
acquiring the second-level rate of each target ONU, and determining the maximum second-level rate of each target ONU recorded in a first preset statistical period as the second-level peak rate, wherein the second-level rate is the flow of each target ONU per second;
and performing bandwidth speed measurement evaluation on each target ONU according to the second-level peak rate to obtain a speed measurement evaluation result corresponding to each target ONU.
2. The method for evaluating bandwidth speed measurement according to claim 1, wherein the step of screening out the quiet ONU from the preset ONUs comprises:
determining statistical time points in a second preset statistical period according to a preset statistical time interval, and acquiring a total time point flow value recorded at each statistical time point;
screening out a plurality of statistical time points with the highest total value of the time point flow according to the preset time point screening number to serve as busy time statistical time points;
and acquiring busy hour flow values corresponding to the busy hour statistical time points of the preset ONU, and determining a silent ONU in the preset ONU according to the busy hour flow values.
3. The method for evaluating bandwidth speed measurement according to claim 2, wherein the step of determining a silent ONU among the preset ONUs according to the busy hour flow value comprises:
summarizing and counting busy hour flow values of the preset ONUs to obtain a total busy hour flow value of the preset ONUs;
comparing the total busy hour flow value with a preset static flow threshold value respectively;
and determining the preset ONU with the total busy hour flow value lower than the preset static flow threshold value as the silent ONU.
4. The method for evaluating bandwidth speed measurement according to claim 1, wherein the step of obtaining the second rate of each target ONU comprises:
acquiring service second-level rate corresponding to each logic service flow in each target ONU;
and respectively counting the second-level speed of the service in each target ONU to obtain the second-level speed of each target ONU.
5. The method for evaluating bandwidth speed measurement according to claim 1, wherein the step of performing bandwidth speed measurement evaluation on each of the target ONUs according to the second-level peak rate to obtain a speed measurement evaluation result corresponding to each of the target ONUs includes:
acquiring the second-level peak rate of each target ONU in a third preset statistical period to serve as the target second-level peak rate of each target ONU, and determining the number of the target second-level peak rates as the total number of samples;
comparing the target second-level peak rate of each target ONU with a corresponding preset rate standard threshold value respectively;
counting the number of times that the target second-level peak rate in each target ONU is higher than the corresponding preset rate standard-reaching threshold value according to the comparison result, wherein the number of times is used as the standard-reaching sample number of each target ONU;
and respectively determining a sample ratio of the number of the standard-reaching samples in each target ONU to the corresponding total number of samples, and performing bandwidth speed measurement evaluation on each target ONU based on the sample ratio to obtain a speed measurement evaluation result corresponding to each target ONU.
6. The method for evaluating bandwidth speed measurement according to claim 5, wherein the step of performing bandwidth speed measurement evaluation on each of the target ONUs based on the sample ratio to obtain a speed measurement evaluation result corresponding to each of the target ONUs includes:
inputting the sample ratios into a preset normal distribution model, and performing bandwidth speed measurement evaluation on each target ONU according to the sample ratios to obtain the probability distribution condition of each sample ratio in the preset normal distribution model;
and determining a speed measurement evaluation result corresponding to each target ONU according to the probability distribution condition.
7. The method for evaluating bandwidth speed measurement according to claim 6, wherein the step of determining the speed measurement evaluation result corresponding to each of the target ONUs according to the probability distribution includes:
if the probability distribution condition is that the target sample ratio is distributed in a preset speed measurement standard reaching probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the target sample ratio is that the speed measurement reaches the standard;
and if the probability distribution condition is that the target sample ratio is distributed in a preset speed measurement non-standard probability area, determining that the speed measurement evaluation result of the target ONU corresponding to the target sample ratio is that the speed measurement is not standard.
8. The utility model provides a bandwidth evaluation device that tests speed, its characterized in that, bandwidth evaluation device that tests speed includes:
the eliminating module is used for screening out the silent ONU from the preset ONU and eliminating the silent ONU from the preset ONU to obtain a target ONU;
the determining module is used for acquiring the second-level rate of each target ONU, and determining the maximum second-level rate of each target ONU recorded in a first preset statistical period as a second-level peak rate, wherein the second-level rate is the flow of each target ONU per second;
and the evaluation module is used for performing bandwidth speed measurement evaluation on each target ONU according to the second-level peak rate to obtain a speed measurement evaluation result corresponding to each target ONU.
9. The bandwidth speed measurement evaluation system is characterized by comprising: a memory, a processor and a bandwidth speed measurement evaluation program stored on the memory and operable on the processor, wherein the bandwidth speed measurement evaluation program when executed by the processor implements the steps of the bandwidth speed measurement evaluation method according to any one of claims 1 to 7.
10. A storage medium, wherein the storage medium stores thereon a bandwidth velocimetry evaluation program, and the bandwidth velocimetry evaluation program, when executed by a processor, implements the steps of the bandwidth velocimetry evaluation method according to any one of claims 1 to 7.
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