Method, device, equipment, storage medium and program product for broadband quality assessment

Abstract

The application discloses a broadband quality evaluation method, device, equipment, storage medium and program product. The broadband quality evaluation method comprises the following steps: acquiring broadband transmission data; evaluating user on-demand quality according to the broadband transmission data and a preset on-demand quality evaluation standard to obtain an on-demand evaluation result; and if the on-demand evaluation result is abnormal, performing broadband quality evaluation on a network transmission end according to the broadband transmission data and a preset broadband quality analysis index to obtain a network transmission end evaluation result. The broadband quality evaluation process can be standardized, and the broadband quality difference problem solving efficiency can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data analysis, and particularly relates to a broadband quality evaluation method and device, equipment, a storage medium and a program product. BACKGROUND

[0002] In the existing broadband problem processing process, when a user finds that the broadband quality is poor or the user cannot access the network, the user selects to call the service telephone to report the problem. After receiving the user complaint, the online customer service relies on experience to preliminarily process, and if the problem cannot be solved, a problem ticket is established and transferred to the installation and maintenance personnel, who solves the problem by going to the user's home or contacts the network operation and maintenance personnel to remotely assist in processing. The broadband problem processing method mainly depends on the analysis and processing of the installation and maintenance personnel and other related technical personnel. The analysis process is highly subjective, it is difficult to standardize the operation process of maintaining the broadband quality, and the on-site maintenance service cannot be provided in time, the network experience of the user with poor broadband quality cannot be improved in time, and the user is likely to complain or leave the network.

[0003] Therefore, it is necessary to provide a scheme capable of standardizing the broadband quality evaluation process and improving the broadband quality problem solving efficiency. SUMMARY

[0004] The main purpose of the present application is to provide a broadband quality evaluation method and device, equipment, a storage medium and a program product, which aims to standardize the broadband quality evaluation process and improve the broadband quality problem solving efficiency.

[0005] To achieve the above purpose, the present application provides a broadband quality evaluation method, which comprises the following steps:

[0006] acquiring broadband transmission data;

[0007] evaluating the user on-demand quality according to the broadband transmission data and a preset on-demand quality evaluation standard to obtain an on-demand evaluation result;

[0008] if the on-demand evaluation result is abnormal, performing broadband quality evaluation on a network transmission end according to the broadband transmission data and a preset broadband quality analysis index to obtain a network transmission end evaluation result.

[0009] Optionally, the step of evaluating the user on-demand quality according to the broadband transmission data and a preset on-demand quality evaluation standard to obtain an on-demand evaluation result comprises the following steps:

[0010] determining the user on-demand action according to the broadband transmission data to obtain a user on-demand type;

[0011] matching the preset on-demand quality evaluation standard according to the broadband transmission data and the user on-demand type to obtain the on-demand evaluation result.

[0012] Optionally, the step of evaluating the network transmission end according to the wideband transmission data and the preset wideband quality analysis index to obtain a network transmission end evaluation result comprises:

[0013] calculating abnormal transmission information of the network transmission end according to the wideband transmission data, and determining an abnormal network transmission end according to the transmission information;

[0014] matching the preset wideband quality analysis index according to the abnormal network transmission end to obtain the network transmission end evaluation result.

[0015] Optionally, the step of calculating abnormal transmission information of the network transmission end according to the wideband transmission data, and determining an abnormal network transmission end according to the transmission information comprises:

[0016] determining home side time delay, network side time delay and server downlink packet loss rate data according to the wideband transmission data;

[0017] calculating a home side time delay abnormal proportion according to the home side time delay and a preset home side time delay index;

[0018] calculating a network side time delay abnormal proportion according to the network side time delay and a preset network side time delay index;

[0019] calculating a server downlink packet loss rate abnormal proportion according to the server downlink packet loss rate data and a preset server downlink packet loss rate index;

[0020] comparing the home side time delay abnormal proportion with a standard home side time delay abnormal proportion, comparing the network side time delay abnormal proportion with a standard network side time delay abnormal proportion, comparing the server downlink packet loss rate abnormal proportion with a standard server downlink packet loss rate abnormal proportion to obtain a comparison result, and determining the abnormal network transmission end according to the comparison result.

[0021] Optionally, the step of matching the preset wideband quality analysis index according to the abnormal network transmission end to obtain the network transmission end evaluation result comprises:

[0022] obtaining equipment running data of the abnormal network transmission end;

[0023] matching the preset wideband quality analysis index according to the equipment running data to obtain equipment fault information;

[0024] obtaining the network transmission end evaluation result according to the equipment fault information.

[0025] Optionally, after the step of evaluating the network transmission end according to the wideband transmission data and the preset wideband quality analysis index to obtain a network transmission end evaluation result, the method further comprises:

[0026] determining a wideband quality level according to the network transmission end evaluation result;

[0027] determining a wideband quality maintenance priority according to the network transmission end evaluation result and the wideband quality level;

[0028] determining a wideband quality maintenance scheme according to the network transmission end evaluation result and the wideband quality maintenance priority.

[0029] Embodiments of the present application further provide a wideband quality evaluation device, which comprises:

[0030] a wideband transmission data acquisition module, configured to acquire wideband transmission data;

[0031] a user on-demand quality evaluation module, configured to evaluate user on-demand quality according to the wideband transmission data and a preset on-demand quality evaluation standard to obtain an on-demand evaluation result;

[0032] a network transmission end evaluation module, configured to evaluate a network transmission end according to the wideband transmission data and a preset wideband quality analysis index to obtain a network transmission end evaluation result if the on-demand evaluation result is abnormal.

[0033] Embodiments of the present application further provide a terminal device, which comprises a memory, a processor, and a wideband quality evaluation program stored in the memory and capable of running on the processor, and the wideband quality evaluation program, when executed by the processor, implements the steps of the wideband quality evaluation method.

[0034] Embodiments of the present application further provide a computer readable storage medium, which stores a wideband quality evaluation program, and the wideband quality evaluation program, when executed by a processor, implements the steps of the wideband quality evaluation method.

[0035] Embodiments of the present application further provide a computer program product, which comprises a wideband quality evaluation program, and the wideband quality evaluation program, when executed by a processor, implements the steps of the wideband quality evaluation method.

[0036] The broadband quality evaluation method, device, equipment, storage medium and program product provided by the embodiments of the present application can obtain broadband transmission data, evaluate the on-demand quality of users according to the broadband transmission data and a preset on-demand quality evaluation standard to obtain an on-demand evaluation result, and perform broadband quality evaluation on a network transmission end according to the broadband transmission data and a preset broadband quality analysis index to obtain a network transmission end evaluation result if the on-demand evaluation result is abnormal. By obtaining the broadband transmission data, the performance indexes of the network can be monitored in real time, and the abnormal conditions in the on-demand process of the users can be found in time. When the on-demand evaluation result is abnormal, the broadband quality evaluation can be performed on the network transmission end according to the broadband transmission data, so that the problems of the network transmission end can be located, the broadband fault reasons can be determined quickly, the basis for broadband quality optimization can be provided, the efficiency of the broadband quality difference problem can be improved, and the user satisfaction can be improved. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 The figure is a schematic diagram of the function modules of the terminal equipment to which the broadband quality evaluation device of the present application belongs.

[0038] Figure 2 The figure is a flowchart of the first exemplary embodiment of the broadband quality evaluation method of the present application.

[0039] Figure 3 The figure is a flowchart of the second exemplary embodiment of the broadband quality evaluation method of the present application.

[0040] Figure 4 The figure is a flowchart of the third exemplary embodiment of the broadband quality evaluation method of the present application.

[0041] Figure 5 The figure is a flowchart of the fourth exemplary embodiment of the broadband quality evaluation method of the present application.

[0042] Figure 6 The figure is a flowchart of the fifth exemplary embodiment of the broadband quality evaluation method of the present application.

[0043] Figure 7 The figure is a flowchart of the sixth exemplary embodiment of the broadband quality evaluation method of the present application.

[0044] Figure 8 The figure is a schematic diagram of the network transmission end delay of the broadband quality evaluation method of the present application.

[0045] Figure 9 The figure is a flowchart of the broadband quality evaluation method of the present application.

[0046] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0047] It should be understood that the specific embodiments described herein are merely exemplary and do not limit the application.

[0048] The main solution of the embodiment of the application is: acquiring wideband transmission data; evaluating user on-demand quality according to the wideband transmission data and a preset on-demand quality evaluation standard to obtain an on-demand evaluation result; if the on-demand evaluation result is abnormal, evaluating the wideband quality of a network transmission end according to the wideband transmission data and a preset wideband quality analysis index to obtain a network transmission end evaluation result.

[0049] The embodiment of the application considers that the existing home broadband problem processing process is usually that a user selects to dial a service telephone to complain about related problems when discovering that the home broadband has poor quality or cannot access the network. However, most users with poor quality do not complain, but choose to off-line in silence. After receiving the user complaint, the online customer service relies on experience to preliminarily process, and if the problem cannot be solved, a problem ticket is established and transferred to the installation and maintenance personnel, who solves the problem by going to the user's home or contacts the network operation and maintenance personnel to remotely assist in processing.

[0050] The home broadband has poor quality problems in multiple services, multiple fields, multiple protocols, and multiple network structures, and the end-to-end behavior performance. The existing technology has relatively fragmented analysis means for the poor quality problems of the home broadband, and the end-to-end problems cannot be accurately defined and positioned, and the reasons for the poor quality problems are ambiguous. It is necessary to accurately measure the service experience, define the poor quality standards of each service, and associate the information of the home side-network side-server side, experience perception, service characteristics, or network capability traceability to analyze the poor quality problems of the home broadband. The processing method for the home broadband problems mainly depends on the analysis and processing of the related technical personnel such as the installation and maintenance personnel. Due to the lack of standard guidance, process support, and digital tool empowerment, the rectification effect is not ideal, and it is easy to cause the user to complain or off-line.

[0051] Therefore, the embodiment of the application can monitor the performance indicators of the network in real time by acquiring the wideband transmission data, discover abnormal conditions in the user on-demand process in time, evaluate the wideband quality of the network transmission end according to the wideband transmission data when the on-demand evaluation result is abnormal, thereby positioning the problems of the network transmission end, quickly determining the cause of the wideband fault, providing a basis for the optimization of the wideband quality, improving the efficiency of the poor quality problems of the wideband, and improving the user satisfaction.

[0052] Specifically, referring to Figure 1 , Figure 1Fig. 1 is a schematic diagram of a functional module of a terminal device to which the broadband quality evaluation device belongs. The broadband quality evaluation device can be a device independent of the terminal device and capable of user on-demand quality evaluation and broadband quality evaluation. The broadband quality evaluation device can be carried on the terminal device in the form of hardware or software. The terminal device can be a smart mobile terminal such as a mobile phone or a tablet computer, or a fixed terminal device or a server having a data processing function.

[0053] In the embodiment, the terminal device to which the broadband quality evaluation device belongs includes at least an output module 110, a processor 120, a memory 130, and a communication module 140.

[0054] The memory 130 stores an operating system and a broadband quality evaluation program. The broadband quality evaluation device can store broadband transmission data, on-demand quality evaluation criteria, and broadband quality analysis indicators in the memory 130. The output module 110 can be a display screen or the like. The communication module 140 can include a WI FI module, a mobile communication module, and a Bluetooth module, and the like, and communicates with external devices or servers through the communication module 140.

[0055] When the broadband quality evaluation program in the memory 130 is executed by the processor, the following steps are implemented:

[0056] The broadband transmission data is obtained.

[0057] The user on-demand quality is evaluated according to the broadband transmission data and the preset on-demand quality evaluation criteria, and an on-demand evaluation result is obtained.

[0058] If the on-demand evaluation result is abnormal, the network transmission end is evaluated for broadband quality according to the broadband transmission data and the preset broadband quality analysis indicators, and a network transmission end evaluation result is obtained.

[0059] Further, when the broadband quality evaluation program in the memory 130 is executed by the processor, the following steps are implemented:

[0060] The user on-demand action is determined according to the broadband transmission data, and a user on-demand type is obtained.

[0061] The on-demand evaluation result is obtained by matching the broadband transmission data and the user on-demand type with the preset on-demand quality evaluation criteria.

[0062] Further, when the broadband quality evaluation program in the memory 130 is executed by the processor, the following steps are implemented:

[0063] The abnormal transmission information of the network transmission end is calculated according to the broadband transmission data, and the abnormal network transmission end is determined according to the transmission information.

[0064] According to the abnormal network transmission end matching the preset broadband quality analysis index, the network transmission end evaluation result is obtained.

[0065] Further, the broadband quality evaluation program in the memory 130 is executed by the processor to realize the following steps:

[0066] According to the broadband transmission data, the home side time delay, the network side time delay and the server downlink packet loss rate data are determined;

[0067] According to the home side time delay and the preset home side time delay index, the home side time delay abnormal proportion is calculated;

[0068] According to the network side time delay and the preset network side time delay index, the network side time delay abnormal proportion is calculated;

[0069] According to the server downlink packet loss rate data and the preset server downlink packet loss rate index, the server downlink packet loss rate abnormal proportion is calculated;

[0070] The home side time delay abnormal proportion is compared with the standard home side time delay abnormal proportion, the network side time delay abnormal proportion is compared with the standard network side time delay abnormal proportion, and the server downlink packet loss rate abnormal proportion is compared with the standard server downlink packet loss rate abnormal proportion, to obtain the comparison result, and according to the comparison result, the abnormal network transmission end is determined.

[0071] Further, the broadband quality evaluation program in the memory 130 is executed by the processor to realize the following steps:

[0072] The device running data of the abnormal network transmission end is obtained;

[0073] According to the device running data matching the preset broadband quality analysis index, the device fault information is obtained;

[0074] According to the device fault information, the network transmission end evaluation result is obtained.

[0075] Further, the broadband quality evaluation program in the memory 130 is executed by the processor to realize the following steps:

[0076] According to the network transmission end evaluation result, the broadband quality level is determined;

[0077] According to the network transmission end evaluation result and the broadband quality level, the broadband quality maintenance priority is determined;

[0078] According to the network transmission end evaluation result and the broadband quality maintenance priority, the broadband quality maintenance scheme is determined.

[0079] Based on the above terminal device architecture but not limited to the above architecture, the method embodiment of the present application is proposed.

[0080] Referring to Figure 2 , Figure 2 is a flowchart of a first exemplary embodiment of a broadband quality evaluation method. The broadband quality evaluation method comprises:

[0081] In step S100, broadband transmission data is acquired.

[0082] The execution subject of the method of the present embodiment can be a broadband quality evaluation device, a broadband quality evaluation terminal device, or a server. The present embodiment is exemplified by a broadband quality evaluation device, which can be integrated into a terminal device such as a smartphone or a tablet computer having a data processing function.

[0083] The present embodiment mainly provides an algorithm for calculating broadband quality evaluation parameters, so as to standardize the broadband quality evaluation process and improve the efficiency of solving broadband quality problems.

[0084] Specifically, the broadband transmission data can include various types of information, such as network bandwidth utilization, transmission rate, time delay, packet loss rate, data packet retransmission rate, etc. The broadband transmission data reflects the real-time state, performance, and possible problems of network transmission, and can be acquired from various network devices and nodes, including routers, switches, modems, broadband access servers, etc., and can also be acquired through network monitoring tools, packet capture tools, sensor devices, etc. The broadband transmission data can be automatically acquired through related devices, or can be achieved through manual detection and monitoring, and the acquisition frequency can be real-time, timed, or event-driven, or set as needed.

[0085] In step S200, the user on-demand quality is evaluated according to the broadband transmission data and a preset on-demand quality evaluation standard, and an on-demand evaluation result is obtained.

[0086] Specifically, the collected broadband transmission data is analyzed, which can be used to evaluate the user on-demand quality by comparing the actual transmission rate with the user demand rate, observing the time delay, checking the packet loss rate, or other user experience related indicators such as video picture clarity, loading time, and lagging situation. The analyzed data is compared with the preset quality evaluation standard to determine the evaluation result of the user on-demand quality. For different applications of user on-demand, different types of quality evaluation standards can be set to understand the abnormal situation of broadband quality or application performance during user on-demand.

[0087] In step S300, if the on-demand evaluation result is abnormal, the network transmission end is evaluated for broadband quality according to the broadband transmission data and a preset broadband quality analysis index, and a network transmission end evaluation result is obtained.

[0088] Specifically, if the on-demand evaluation result is abnormal, there may be a problem with the network transmission end, such as a specific server, router, optical network terminal, etc. The broadband transmission data and equipment operation data related to the network transmission end are obtained, including bandwidth utilization, transmission rate, time delay, packet loss rate, etc. The relevant data are compared with the preset broadband quality analysis index to determine the fault problem, and the evaluation result of the network transmission end is obtained. Then, according to the network transmission end evaluation result, the improvement method can be determined, which may include suggestions for network equipment adjustment, bandwidth optimization, fault elimination, equipment maintenance, etc.

[0089] In the embodiment, the broadband transmission data are obtained, the user on-demand quality is evaluated according to the broadband transmission data and the preset on-demand quality evaluation standard, and the on-demand evaluation result is obtained. If the on-demand evaluation result is abnormal, the broadband quality of the network transmission end is evaluated according to the broadband transmission data and the preset broadband quality analysis index, and the network transmission end evaluation result is obtained. By obtaining the broadband transmission data, the performance indicators of the network can be monitored in real time, and abnormal situations in the user on-demand process can be found in time. When the on-demand evaluation result is abnormal, the broadband quality of the network transmission end can be evaluated according to the broadband transmission data, so as to locate the problem of the network transmission end, quickly determine the broadband fault cause, provide basis for broadband quality optimization, improve the efficiency of broadband quality difference problem, and improve the user satisfaction.

[0090] Reference Figure 3 , Figure 3 The flowchart of the second exemplary embodiment of the broadband quality evaluation method of the present application is shown. Based on the above Figure 2 In the embodiment, the step of evaluating the user on-demand quality according to the broadband transmission data and the preset on-demand quality evaluation standard to obtain the on-demand evaluation result includes:

[0091] In step S201, the on-demand action of the user is determined according to the broadband transmission data, and the user on-demand type is obtained.

[0092] In step S202, the on-demand evaluation result is obtained by matching the preset on-demand quality evaluation standard according to the broadband transmission data and the user on-demand type.

[0093] Specifically, the on-demand action of the user is determined by the uplink traffic collected by the broadband access server in the broadband transmission data. The uplink traffic refers to the data sent by the user equipment to the network, which usually includes data transmission generated by user uploading files, requesting web pages, sending emails, etc. The on-demand action of the user can include on-demand long video application, on-demand short video application, on-demand live video application, on-demand game application, on-demand download speed application, or web browsing, etc.

[0094] According to the user on-demand type matching the preset on-demand quality evaluation standard, the following is an example of evaluation according to the preset on-demand quality evaluation standard:

[0095] When the user's on-demand type is a long video category, such as applications like iQiyi, Tencent Video, Youku, and Mango TV, the user's current network environment needs to be obtained. If the user is connected in a WI F I and personal traffic dual-opening manner, the proportion of the number of times that the video stall duration is greater than 3% every 5 minutes during application use to the number of 5-minute periods in a day is calculated. If the proportion is greater than 1%, the specific problem can be located by obtaining soft probe data. If the user is connected in a WI F I single connection manner, the proportion of the number of times that the data transmission delay is greater than 100ms every 5 minutes during application use to the number of 5-minute periods in a day is calculated. If the proportion is greater than 30%, the on-demand evaluation result is determined to be abnormal.

[0096] When the user's on-demand type is a short video category, such as applications like Kuaishou and TikTok, the user's current network environment needs to be obtained. If the user is connected in a WI F I and personal traffic dual-opening manner, the number of times that the video smoothness is less than 1.2 every 5 minutes is counted, and the proportion of the number of times that the video smoothness is less than 1.2 every 5 minutes during application use to the total number of video smoothness statistics per day is calculated. If the proportion is greater than 1%, the specific problem can be located by obtaining soft probe data. If the user is connected in a WI F I single connection manner, the proportion of the number of times that the data transmission delay is greater than 100ms every 5 minutes during application use to the number of 5-minute periods in a day is calculated. If the proportion is greater than 30%, the on-demand evaluation result is determined to be abnormal.

[0097] When the user's on-demand type is a live video application, such as video live streaming, anchor video, online education, and video part of remote office applications, the downlink data transmission delay and uplink data transmission delay need to be obtained. The proportion of the number of times that the downlink data transmission delay and uplink data transmission delay are greater than 80ms every 5 minutes during application use to the number of 5-minute periods in a day is calculated. If the proportion is greater than 30%, the on-demand evaluation result is determined to be abnormal.

[0098] When the user's on-demand type is a game application, such as applications like Wangzhe Rongyao, League of Legends, and Peace Elite, and Overwatch, the game business user evaluation result and the business perception index of the broadband access server are first used to train a preset regression algorithm. After the regression algorithm is trained, the actual game business user's operation is predicted to obtain a prediction result. Based on the prediction result, and the proportion of the number of times that the data transmission delay is greater than 100ms every 5 minutes during application use to the number of 5-minute periods in a day. If the proportion is greater than 30%, the on-demand evaluation result is determined to be abnormal.

[0099] When the user's on-demand type is a download speed test application, such as SpeedTest, 360 speed test, network disk storage, file download, and application market protocol sub-class application, the user's terminal type needs to be evaluated. If the terminal is a mobile terminal, the proportion of the number of times that the effective download speed of the speed test is less than 90% of the signed bandwidth in the number of 5-minute periods in a day is calculated. If the proportion is greater than 30%, the on-demand evaluation result is determined to be abnormal. If the terminal type is a PC terminal, the proportion of the number of times that the data transmission delay is greater than 100ms in each 5-minute period in a day is calculated. If the proportion is greater than 30%, the on-demand evaluation result is determined to be abnormal.

[0100] When the user's on-demand type is a web page browsing application, such as HTTP web page and HTTPS web page. If the web page type is an HTTP web page, the proportion of the number of times that the web page response delay is greater than 400ms in each 5-minute period in a day is calculated. If the proportion is greater than 30% and the page response success rate is less than 90%, the on-demand evaluation result is determined to be abnormal. If the access type is an HTTPS web page, the proportion of the number of times that the data transmission delay is greater than 100ms in each 5-minute period in a day is calculated. If the proportion is greater than 30%, the on-demand evaluation result is determined to be abnormal.

[0101] When the on-demand evaluation result is abnormal, the specific problem can be located by obtaining soft probe data. Soft probe data refers to data collected on a user device by software or programs, including user behavior data, user device information, performance data when using an application program, and user feedback data.

[0102] The above scheme is used to determine the user's on-demand type, automatically evaluate the on-demand action of the user according to the corresponding preset on-demand quality evaluation standard, understand the abnormal situation of the user's on-demand broadband quality or application performance, and help to adjust the broadband quality or application settings in a timely manner, improve the efficiency of solving the problem of poor broadband quality, and improve the user's use experience.

[0103] Further, with reference to Figure 4 , Figure 4 The flowchart of the third exemplary embodiment of the broadband quality evaluation method of the present application is shown. Based on the above Figure 2 embodiment, in this embodiment, the step of evaluating the network transmission end based on the broadband transmission data and the preset broadband quality analysis index to obtain the network transmission end evaluation result includes:

[0104] Step S301, calculating the abnormal transmission information of the network transmission end based on the broadband transmission data, and determining the abnormal network transmission end based on the transmission information;

[0105] Step S302, matching the abnormal network transmission end with the preset broadband quality analysis index to obtain a network transmission end evaluation result.

[0106] Specifically, according to the analysis and calculation of the broadband transmission data such as transmission rate, delay, packet loss rate, etc., the abnormal transmission information of the network transmission end can be obtained, such as whether there is an abnormal delay, a too high packet loss rate, etc. After calculating the abnormal transmission information, the abnormal network transmission end can be determined according to the set threshold or rule to determine the node or link that has a problem in the network transmission process. For the abnormal network transmission end, it is matched with the preset broadband quality analysis index. The preset index can include device running data, network performance index, service quality requirement, etc., which are used to evaluate the state and performance of the network transmission end. Through the matching with the preset index, the evaluation result of the abnormal network transmission end can be obtained. It is helpful to determine the reason for poor broadband quality and can be used as a basis for formulating subsequent maintenance scheme.

[0107] Through the above scheme, the abnormal transmission information of the network transmission end can be calculated to monitor the state of the network transmission end in real time, discover abnormal conditions in time, promote the speed of transmission fault confirmation, accurately evaluate the broadband quality, optimize the performance of the network transmission end, improve the efficiency of solving the problem of poor broadband quality, and improve the user experience.

[0108] Further, referring to Figure 5 , Figure 5 is a flowchart of a fourth exemplary embodiment of the broadband quality evaluation method of the present application. Based on the above Figure 2 embodiment, in the present embodiment, the step of calculating the abnormal transmission information of the network transmission end according to the broadband transmission data and determining the abnormal network transmission end according to the transmission information includes:

[0109] Step S3011, determining the home side delay, network side delay and server downlink packet loss rate data according to the broadband transmission data;

[0110] Step S3012, calculating the home side delay abnormal proportion according to the home side delay and the preset home side delay index;

[0111] Step S3013, calculating the network side delay abnormal proportion according to the network side delay and the preset network side delay index;

[0112] Step S3014, calculating the server downlink packet loss rate abnormal proportion according to the server downlink packet loss rate data and the preset server downlink packet loss rate index;

[0113] Step S3015, compare the home side time delay abnormal proportion with the standard home side time delay abnormal proportion, compare the network side time delay abnormal proportion with the standard network side time delay abnormal proportion, compare the server downlink packet loss rate abnormal proportion with the standard server downlink packet loss rate abnormal proportion, obtain the comparison result, and determine the abnormal network transmission end according to the comparison result.

[0114] Specifically, referring to Figure 8 Wherein, T0 represents the home side time delay; T1 represents the ONT (Optical Network Terminal) to BRAS (Broadband Remote Access Server) time delay, that is, the network side time delay; T2 represents the access side time delay; T3 represents the server side time delay, wherein OLT is Optical line terminal.

[0115] The calculation method of the home side time delay abnormal proportion is as follows:

[0116]

[0117] Wherein T0 = T2-T1, A represents the home network time delay abnormal proportion in a day; T represents the number of times that the home side time delay exceeds the time delay index in a day; T0 represents the home side time delay; μ0 represents the home side time delay index, which can be set to 30 ms; when the home side time delay exceeds 30 ms, network lag will occur; N represents the sum of 5-minute periods in a day, which is 288; R0 represents the home side time delay abnormal proportion, which can be set to 20%; when the network side time delay abnormal proportion exceeds 20%, the home side is determined as the abnormal network transmission end.

[0118] The calculation method of the network side time delay abnormal proportion is as follows:

[0119]

[0120] Wherein B represents the proportion of abnormal ONT (Optical Network Terminal) to BRAS (Broadband Remote Access Server) delay in a day, that is, the proportion of abnormal network side delay; T represents the number of times of network side delay exceeding the delay index in a day; T1 represents the ONT (Optical Network Terminal) to BRAS (Broadband Remote Access Server) delay; μ1 represents the network side delay index, which can be set to 10 ms, and network lag will occur when the network side delay exceeds 10 ms; N represents the sum of 5-minute periods in a day, and the value is 288; R1 represents the proportion of abnormal network side delay, which can be set to 10%, and the network side is determined to be an abnormal network transmission end when the proportion of abnormal network side delay exceeds 10%.

[0121] The calculation method of the proportion of abnormal server downlink packet loss rate is as follows:

[0122]

[0123] Wherein C represents the proportion of abnormal server side downlink packet loss rate in a day; T represents the number of times of server side packet loss rate exceeding the packet loss rate index in a day; P represents the server side downlink packet loss rate; P0 represents the server downlink packet loss rate index, which can be set to 0.2%, and network lag will occur when the packet loss rate exceeds 0.2%; N represents the sum of 5-minute periods in a day, and the value is 288; R2 represents the proportion of abnormal server downlink packet loss rate, which can be set to 15%, and the server side is determined to be an abnormal network transmission end when the proportion of abnormal server downlink packet loss rate exceeds 15%.

[0124] In summary, the abnormal network transmission end can be defined as follows:

[0125] Y = (A∪B∪C)

[0126] Wherein Y represents the abnormal network transmission end condition, A, B and C represent the user home side, network side and server side abnormal events respectively, and there are 8 cases, as follows:

[0127]

[0128] Through the above scheme, the proportion of abnormal home side delay, network side delay and server downlink packet loss rate is calculated, and compared with the preset index, the broadband quality can be accurately evaluated, the abnormal network transmission end can be accurately located, and the abnormal condition can be found in time, so as to optimize the performance of the network transmission end, improve the broadband quality problem solving efficiency, and reduce the possibility of user experience decline.

[0129] Further, with reference to Figure 6 , Figure 6 is a flowchart of a fifth exemplary embodiment of the broadband quality evaluation method of the present application. Based on the above-described Figure 2 embodiment, in the present embodiment, the step of obtaining the network transmission end evaluation result according to matching the preset broadband quality analysis index by the abnormal network transmission end includes:

[0130] Step S3021, obtaining the device running data of the abnormal network transmission end;

[0131] Step S3022, matching the preset broadband quality analysis index according to the device running data to obtain the device fault information;

[0132] Step S3023, obtaining the network transmission end evaluation result according to the device fault information.

[0133] Specifically, with reference to Figure 9 , when the home side is the abnormal network transmission end, the home side problem can be divided into five types of devices, including wi-fi, optical modem, router, network cable and terminal quality. If the device running data meets the conditions of the preset broadband quality analysis index, it is considered that the corresponding quality problem has occurred, as the device fault information, to obtain the network transmission end evaluation result.

[0134] When evaluating the wi-fi coverage quality, for example, the signal weak period ratio of WiFi and the period ratio of BRAS to user terminal RTT delay higher than 35 milliseconds relative to BRAS to optical modem RTT delay can be used, and the corresponding threshold value is set. If the period ratio exceeds the threshold value, the wi-fi coverage quality is good, otherwise it is determined that the wi-fi coverage quality is poor. Wherein, RTT is Round-Trip Time, i.e. round-trip delay; BRAS is Broadband Remote Access Server, broadband access server.

[0135] The specific analysis index for evaluating the optical modem coverage quality is shown in the following table:

[0136]

[0137] The specific analysis index for evaluating the optical modem running quality is shown in the following table:

[0138]

[0139] The specific analysis index for evaluating the router running quality is shown in the following table:

[0140]

[0141] The network line and terminal quality are evaluated, and the specific analysis indexes are shown in the following table:

[0142]

[0143]

[0144] Reference Figure 9 When the network side is an abnormal network transmission end, the device running data that can be obtained include the performance of BRAS and OLT, alarm data, PON operation and maintenance alarm information. If the device running data meets the preset broadband quality analysis index condition, it is considered that the corresponding quality problem occurs, as device fault information, and the network transmission end evaluation result is obtained. The OLT is an optical line terminal, and the PON is a passive optical network.

[0145] According to the optical modem running condition evaluation, the specific analysis indexes are shown in the following table:

[0146] Problem classification Analysis index Optical cat flow congestion Optical cat flow congestion Optical cat power failure Optical cat power failure alarm times > 5 times Optical cat error code high Daily new error code number ≥10000

[0147] According to the PON operation and maintenance alarm information evaluation, the specific analysis indexes are shown in the following table:

[0148]

[0149]

[0150] The performance is evaluated by using OLT information, and the specific analysis indexes are shown in the following table:

[0151] Problem classification Data dependence OLT uplink transmission failure Fault alarm information OLT uplink port error code high Fault alarm information OLT uplink port receiving bandwidth utilization rate high Performance information OLT uplink port receiving optical power weak Performance information

[0152] The performance is evaluated by using BRAS information, and the specific analysis indexes are shown in the following table:

[0153] Problem classification Data dependence BRAS uplink port receiving bandwidth utilization rate high Performance information BRAS uplink port error code high Performance information

[0154] Reference Figure 9 The content delay is closely related to the server. When the content delay is abnormal, the server side is an abnormal network transmission end, and the device running data that can be obtained include the server side downlink packet loss rate, BRAS to server delay, DNS delay and success rate. If the device running data meets the preset broadband quality analysis index condition, it is considered that the corresponding quality problem occurs, as device fault information, and the network transmission end evaluation result is obtained. The DNS is a domain name system, which is a distributed naming system for converting domain names into corresponding IP addresses in the Internet.

[0155] Problem classification Data dependence Server side downlink packet loss rate abnormal application Packet loss rate > 1% BRAS to server delay abnormal application Delay > 100ms DNS delay and success rate abnormal Success rate < 90%

[0156] The embodiment can comprehensively evaluate the operation of the device by acquiring the device operation data of the abnormal network transmission end and matching the preset broadband quality analysis index, find potential faults, quickly diagnose device problems, accurately locate problems existing in the network transmission end, improve the broadband quality problem evaluation efficiency, help optimize the performance of the network transmission end, improve the broadband quality problem solving efficiency, and enhance the user experience.

[0157] Further, with reference to Figure 7 , Figure 7 The flowchart of the sixth exemplary embodiment of the broadband quality evaluation method of the present application is shown. Based on the above Figure 2 The embodiment, according to the broadband transmission data and the preset broadband quality analysis index, performs broadband quality evaluation on the network transmission end to obtain a network transmission end evaluation result. After the step, the embodiment includes the following steps:

[0158] Step S401, determining a broadband quality level according to the network transmission end evaluation result;

[0159] Step S402, determining a broadband quality maintenance priority according to the network transmission end evaluation result and the broadband quality level;

[0160] Step S403, determining a broadband quality maintenance scheme according to the network transmission end evaluation result and the broadband quality maintenance priority.

[0161] Specifically, according to the network transmission end evaluation result, the number of days of broadband quality difference per week of the user is used to determine the broadband quality level of the user, which can be set in the following manner:

[0162] T = ∑Y i (1≤i≤7)

[0163] T>4, which can be set as a severe broadband quality difference user; 2<T≤4, which can be set as a moderate broadband quality difference user; 1≤T≤2, which can be set as a mild broadband quality difference user; and T=0, which can be set as a broadband quality normal user. The network transmission end evaluation result within one day can be calculated according to Y=(A∪B∪C) in the above embodiment. Y1 represents the broadband quality difference within a week, and T represents the sum of the number of days of broadband quality difference within a week.

[0164] According to the network transmission end evaluation result and the broadband quality level, the broadband quality maintenance priority can be determined; according to the network transmission end evaluation result and the broadband quality maintenance priority, the broadband quality maintenance scheme can be determined, and the maintenance personnel can be pre-set, as shown in the following table:

[0165]

[0166]

[0167] The embodiment determines the broadband quality level and the maintenance priority, formulates the maintenance scheme, and is beneficial to the classification evaluation of the broadband quality, the targeted allocation of the maintenance resource, the subsequent maintenance and management work, the reduction of the maintenance cost, the improvement of the broadband quality problem solving efficiency, and the improvement of the user experience.

[0168] In addition, the embodiment of the application further provides a broadband quality evaluation device, which comprises:

[0169] The acquisition module is configured to acquire broadband transmission data.

[0170] The on-demand action evaluation module is configured to evaluate user on-demand quality according to the broadband transmission data and a preset on-demand quality evaluation standard, and obtain an on-demand evaluation result.

[0171] The network transmission end evaluation module is configured to perform broadband quality evaluation on a network transmission end according to the broadband transmission data and a preset broadband quality analysis index if the on-demand evaluation result is abnormal, and obtain a network transmission end evaluation result.

[0172] The principle and implementation process of the broadband quality evaluation are realized, and please refer to the above embodiments, which will not be repeated here.

[0173] In addition, the embodiment of the application further provides a terminal device, which comprises a memory, a processor, and a broadband quality evaluation program stored in the memory and executable on the processor. When the broadband quality evaluation program is executed by the processor, the steps of the broadband quality evaluation method are realized.

[0174] Since the broadband quality evaluation program is executed by the processor, all the technical solutions of the above-mentioned embodiments are adopted, and all the beneficial effects brought by all the technical solutions of the above-mentioned embodiments are at least achieved, which will not be repeated here.

[0175] In addition, the embodiment of the application further provides a computer readable storage medium, which stores a broadband quality evaluation program. When the broadband quality evaluation program is executed by the processor, the steps of the broadband quality evaluation method are realized.

[0176] Since the broadband quality evaluation program is executed by the processor, all the technical solutions of the above-mentioned embodiments are adopted, and all the beneficial effects brought by all the technical solutions of the above-mentioned embodiments are at least achieved, which will not be repeated here.

[0177] In addition, the embodiment of the present application further provides a computer program product, which comprises a wideband quality evaluation program. The wideband quality evaluation program is executed by a processor to implement the steps of the wideband quality evaluation method.

[0178] Since the wideband quality evaluation program is executed by the processor, all the technical solutions of all the foregoing embodiments are adopted, and all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are achieved, which will not be repeated here.

[0179] Compared with the prior art, the wideband quality evaluation method, device, equipment, storage medium and program product provided by the embodiment of the present application have the following advantages. The wideband quality evaluation method, device, equipment, storage medium and program product provided by the embodiment of the present application acquire wideband transmission data, evaluate user on-demand quality according to the wideband transmission data and a preset on-demand quality evaluation standard to obtain an on-demand evaluation result, and perform wideband quality evaluation on a network transmission end according to the wideband transmission data and a preset wideband quality analysis index to obtain a network transmission end evaluation result if the on-demand evaluation result is abnormal. By acquiring the wideband transmission data, the performance indexes of the network can be monitored in real time, and the abnormal situation in the user on-demand process can be found in time. When the on-demand evaluation result is abnormal, the network transmission end can be evaluated according to the wideband transmission data, so that the problem of the network transmission end can be located, the cause of the wideband fault can be determined quickly, the basis for wideband quality optimization can be provided, the efficiency of the wideband quality difference problem can be improved, and the user satisfaction can be improved.

[0180] It should be noted that, in this document, the terms "comprise", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, so that processes, methods, articles or systems that include a series of elements not only include those elements, but also include other elements not explicitly listed or inherent to such processes, methods, articles or systems. Without more limitations, the element defined by the statement "comprises a" does not exclude the presence of another identical element in the process, method, article or system that includes the element.

[0181] The serial numbers of the above embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0182] Those skilled in the art can clearly understand the above-mentioned embodiment method can be realized by means of software and the necessary general hardware platform, of course, can also be through hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application essentially or say the part of the prior art contribution can be embodied in the form of software products, the computer software product is stored in the above-mentioned storage medium (such as ROM / RAM, magnetic disc, optical disc), including a number of instructions to make a terminal device (may be a mobile phone, computer, server, controlled terminal, or network equipment, etc.) executes the method of each embodiment of the present application.

[0183] The above is only the preferred embodiment of the present application, not therefore limit the patent scope of the present application, any equivalent structure or equivalent process transformation using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A broadband quality assessment method, characterized in that, The broadband quality assessment method includes: Obtain broadband transmission data; The user's on-demand quality is evaluated based on the broadband transmission data and a preset on-demand quality evaluation standard to obtain an on-demand evaluation result. This step specifically includes: determining the user's on-demand action based on the uplink traffic collected by the broadband access server in the broadband transmission data to obtain the user's on-demand type; matching the broadband transmission data and the user's on-demand type with the preset on-demand quality evaluation standard to obtain the on-demand evaluation result. If the on-demand evaluation result is abnormal, then the broadband quality of the network transmission end is evaluated based on the broadband transmission data and the preset broadband quality analysis indicators to obtain the network transmission end evaluation result. This step specifically includes: calculating the abnormal transmission information of the network transmission end based on the broadband transmission data, and determining the abnormal network transmission end based on the transmission information; matching the abnormal network transmission end with the preset broadband quality analysis indicators to obtain the network transmission end evaluation result. The abnormal network transmission situation Y is defined as: Y = (A∪B∪C), where A represents abnormal events on the user's home side, B represents abnormal events on the network side, and C represents abnormal events on the server side.

2. The broadband quality assessment method according to claim 1, characterized in that, The step of calculating abnormal transmission information of the network transmission end based on the broadband transmission data, and determining the abnormal network transmission end based on the transmission information, includes: The home-side latency, network-side latency, and server downlink packet loss rate data are determined based on the broadband transmission data. The percentage of abnormal home-side latency is calculated based on the home-side latency and the preset home-side latency index. The percentage of abnormal network latency is calculated based on the network-side latency and the preset network-side latency index. The abnormal percentage of the server downlink packet loss rate is calculated based on the server downlink packet loss rate data and the preset server downlink packet loss rate index. The abnormal latency percentage on the home side is compared with the standard abnormal latency percentage on the home side, the abnormal latency percentage on the network side is compared with the standard abnormal latency percentage on the network side, and the abnormal downlink packet loss percentage on the server is compared with the standard abnormal downlink packet loss percentage on the server to obtain the comparison results. The abnormal network transmission end is determined based on the comparison results.

3. The broadband quality assessment method according to claim 1, characterized in that, The step of obtaining the network transmission end evaluation result by matching the abnormal network transmission end with preset broadband quality analysis indicators includes: Obtain the device operation data of the abnormal network transmission end; Based on the equipment operation data, preset broadband quality analysis indicators are matched to obtain equipment fault information; Based on the equipment fault information, the network transmission end evaluation result is obtained.

4. The broadband quality assessment method according to claim 1, characterized in that, After the step of evaluating the broadband quality of the network transmission end based on the broadband transmission data and preset broadband quality analysis indicators to obtain the evaluation result of the network transmission end, the following steps are included: The broadband quality level is determined based on the network transmission end evaluation results. Based on the network transmission end evaluation results and the broadband quality level, determine the priority of broadband quality maintenance; Based on the network transmission end evaluation results and the broadband quality maintenance priority, a broadband quality maintenance plan is determined.

5. A broadband quality assessment device, characterized in that, The broadband quality assessment device includes: The acquisition module is used to acquire broadband transmission data; The on-demand action evaluation module is used to evaluate the user's on-demand quality based on the broadband transmission data and a preset on-demand quality evaluation standard, and obtain an on-demand evaluation result; the on-demand action evaluation module is also used to determine the user's on-demand action based on the uplink traffic collected by the broadband access server in the broadband transmission data, and obtain the user's on-demand type; and to match the broadband transmission data and the user's on-demand type with the preset on-demand quality evaluation standard to obtain an on-demand evaluation result; The network transmission end evaluation module is used to evaluate the broadband quality of the network transmission end based on the broadband transmission data and preset broadband quality analysis indicators if the on-demand evaluation result is abnormal, and obtain the network transmission end evaluation result. The network transmission end evaluation module is also used to calculate the abnormal transmission information of the network transmission end based on the broadband transmission data, and determine the abnormal network transmission end based on the transmission information. The abnormal network transmission end is matched with the preset broadband quality analysis indicators to obtain the network transmission end evaluation result. The abnormal network transmission end situation Y is defined as: Y=(A∪B∪C), where A represents the abnormal event on the user's home side, B represents the abnormal event on the network side, and C represents the abnormal event on the server side.

6. A terminal device, characterized in that, The terminal device includes a memory, a processor, and a broadband quality assessment program stored in the memory and executable on the processor. When executed by the processor, the broadband quality assessment program implements the steps of the broadband quality assessment method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a broadband quality assessment program, which, when executed by a processor, implements the steps of the broadband quality assessment method as described in any one of claims 1-4.

8. A computer program product, characterized in that, The computer program product includes a broadband quality assessment program, which, when executed by a processor, implements the steps of the broadband quality assessment method as described in any one of claims 1-4.

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