CN111327471B - Network quality analysis method, device, computer equipment and storage medium - Google Patents

Abstract

The embodiment of the invention discloses a network quality analysis method, a device, computer equipment and a storage medium, comprising the following steps: acquiring communication data between preset data links in an interaction process, wherein the communication data are parameter data which are generated during data transmission based on a preset communication protocol and are used for representing network quality; classifying the communication data according to a preset analysis type; and carrying out statistical calculation on the classified communication data to obtain quality parameter values of different preset analysis types in the network. According to the technical scheme, the quality measurement of each data transmission is described under the combined condition of the network state and the transmission protocol, an additional network quality detection tool or application is not required, so that the network quality analysis is faster and gradually changed, the data size is large, the network quality is evaluated in a statistical analysis mode, and the evaluation is more objective and accurate and direct.

Description

Network quality analysis method, device, computer equipment and storage medium

technical field

The present application relates to the technical field of network communication, in particular, the present application relates to a network quality analysis method, device, computer equipment and storage medium.

Background technique

The data network is a complex system, in which the definition of network quality refers to the information transmission characteristics displayed in the process of data communication between different nodes within the network. For the description of the network quality of a certain node, it is often impossible to cover all the network nodes communicating with it. The existing measurement generally uses a small number of nodes for spot checks and data transmission tests to try to describe the global state through a small number of sampling states. .

There are two methods used in the existing network measurement process:

One is the global measurement, which calculates the total network traffic, bandwidth, packet loss rate, and error rate, but there is no way to view the status of each network connection from a microscopic perspective. The specific implementation methods are bandwidth statistics, error statistics, etc.; for network quality Global measurement can describe the quality of the overall network status or capability rating, but cannot measure the quality of each network data flow that communicates with it, and can find network quality problems that affect a wide range, but a large amount of statistical data will be lost Therefore, it is impossible to detect individual or occasional network quality problems, and then ignore the real problems hidden in them. In summary, the global measurement has two disadvantages, namely: the measurement is general and the information is lost.

The other is local measurement, which tries to describe the overall network quality by analyzing the sample of spot check. The specific implementation methods include broadcast test and bandwidth test. The data acquisition source of the local measurement method is realized through sampling. Sampling will determine whether the sampling content is representative, and whether the sampling data indicators can represent the real state of all samples. Considering sampling as much as possible For simulation, samples are generally selected in the real exchange peer node network, but the state and behavior of the network peer end are difficult to control at the network nodes to be tested, so sample sampling in the actual use process requires high cost. Satisfied, for example, by implanting a detection program on the client. In summary, local measurement has two disadvantages, namely: the sampling cost is difficult to control and the sample is not representative.

Contents of the invention

The application discloses a network quality analysis method, device, computer equipment and storage medium, which can record the data of each data interaction and analyze the network quality by means of statistical analysis without adding additional detection devices or loading additional applications , low cost and simple analysis method.

On the one hand, the present application discloses a network quality analysis method, including:

Acquiring communication data between preset data links during the interaction process, wherein the communication data is parameter data representing network quality generated during data transmission between preset data links based on a preset communication protocol;

Classifying the communication data according to a preset analysis type;

Statistical calculations are performed on the classified communication data to obtain quality parameter values of different preset analysis types in the network.

Optionally, the method for acquiring communication data between preset data links during the interaction process includes:

Obtain link information between each data sending end and each data receiving end;

monitoring the interaction status parameters between the data sending end and the data receiving end in each link according to the link information;

The communication data is generated according to the interaction state parameters according to preset rules.

Optionally, the method for generating communication data according to the interaction state parameters according to preset rules includes:

Screening parameter data representing network quality from the interaction state parameters as target parameters;

matching the calculation rules of the target parameters in the first preset list;

generating the communication data from the target parameter according to the calculation rule.

Optionally, the method for classifying the communication data according to a preset analysis type includes:

Obtaining a second preset list, wherein the second preset list records the association relationship between the preset analysis type and the communication data;

Classify according to the mapping relationship between the preset analysis type and the communication data in the second preset list.

Optionally, the method of performing statistical calculation on the classified communication data to obtain quality parameter values of different preset analysis types in the network includes:

Obtaining a third preset list, wherein the statistical rules corresponding to the preset analysis types are recorded in the third preset list;

Obtain statistical rules of the preset analysis type according to the third preset list;

The classified communication data is calculated according to the statistical rules to obtain quality parameter values of different preset analysis types in the network.

Optionally, the preset analysis type includes network delay time, data transmission rate, network packet loss rate and transmission bandwidth of each link.

Optionally, when the data receiving end is a mobile terminal, the preset analysis type further includes a signal strength value of the mobile terminal.

In a second aspect, the present application discloses a network quality analysis device, including:

Acquisition module: configured to acquire communication data between preset data links during the interaction process, wherein the communication data is a characterization generated during data transmission between preset data links based on a preset communication protocol Parameter data of network quality;

A classification module: configured to classify the communication data according to a preset analysis type;

Calculation module: configured to perform statistical calculation on the classified communication data, so as to obtain quality parameter values of different preset analysis types in the network.

Optionally, the acquisition module includes:

Link information acquisition module: configured to acquire link information between each data sending end and each data receiving end;

Monitoring module: configured to monitor the interaction status parameters between the data sending end and the data receiving end in each link according to the link information;

A generating module: configured to generate communication data according to the interaction state parameters according to preset rules.

Optionally, the generating module includes:

A screening module: configured to perform screening of parameter data representing network quality from the interaction state parameters as target parameters;

Matching module: configured to execute calculation rules that match the target parameters in the first preset list;

A generating submodule: configured to generate the communication data from the target parameters according to the calculation rule.

Optionally, the classification module includes:

The first list obtaining module: configured to execute obtaining a second preset list, wherein the second preset list records the association relationship between the preset analysis type and the communication data;

A mapping module: configured to perform classification according to the mapping relationship between the preset analysis type and the communication data in the second preset list.

Optionally, the calculation module includes:

The second list acquisition module: configured to perform acquisition of a third preset list, wherein the statistical rules corresponding to the preset analysis types are recorded in the third preset list;

A rule obtaining module: configured to execute obtaining the statistical rules of the preset analysis type according to the third preset list;

Calculation sub-module: configured to perform calculation on the classified communication data according to the statistical rules to obtain quality parameter values of different preset analysis types in the network.

Optionally, the preset analysis type includes network delay time, data transmission rate, network packet loss rate and transmission bandwidth of each link.

Optionally, when the data receiving end is a mobile terminal, the preset analysis type further includes a signal strength value of the mobile terminal.

According to the third aspect, an embodiment of the present application further provides a computer device, including a memory and a processor, where computer-readable instructions are stored in the memory, and when the computer-readable instructions are executed by the processor, The processor is made to execute the steps of the network quality analysis method described above.

According to the fourth aspect, embodiments of the present application further provide a storage medium storing computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, one or more processors execute The steps of the network quality analysis method described above.

The beneficial effect of the embodiment of the present application is:

The network quality analysis method, device, computer equipment, and storage medium disclosed in the present application detect and record the data interaction during the transmission process of each link, and record the effective parameters and variables that represent the network quality of the network communication during the interaction process. , and the recorded data will be screened and counted, and the quality measurement of each data transmission will be described under the combination of network status and transmission protocol, without additional setting of internal network quality detection tools or applications, making network quality analysis faster and easier Gradual change, and by obtaining the quality description information of each data interaction between network nodes and other nodes, record the details of data communication during the interaction process, including the parameters in the communication protocol interaction process, the amount of data is large, and the network quality is evaluated by statistical analysis , the evaluation is more objective, accurate and direct.

Description of drawings

The above and/or additional aspects and advantages of the present application will become apparent and easy to understand from the following description of the embodiments in conjunction with the accompanying drawings, wherein:

Fig. 1 is the flowchart of a kind of network quality analysis method of the present application;

Fig. 2 is the flow chart of the method for obtaining communication data in this application;

Fig. 3 is the flow chart of the method for generating communication data in this application:

Fig. 4 is the flow chart of the method for classifying communication data in the present application;

Fig. 5 is the flow chart of the method for statistical calculation of communication data in the present application;

FIG. 6 is a schematic diagram of link data transmission in this application;

Figure 7 is a distribution diagram of the transmission rate and information delay of multiple measurement nodes in this application

FIG. 8 is a structural block diagram of the network quality analysis device of the present application;

FIG. 9 is a block diagram of a basic structure of a computer device according to an embodiment of the present application.

Detailed ways

Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present application, and are not construed as limiting the present application.

Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and/or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and/or groups thereof.

Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meanings as commonly understood by those of ordinary skill in the art to which this application belongs. It should also be understood that terms, such as those defined in commonly used dictionaries, should be understood to have meanings consistent with their meaning in the context of the prior art, and unless specifically defined as herein, are not intended to be idealized or overly Formal meaning to explain.

Referring to Fig. 1, a network quality analysis method is disclosed for this embodiment, including:

S1000. Acquire communication data between preset data links during the interaction process, wherein the communication data is parameter data representing network quality generated during data transmission between preset data links based on a preset communication protocol ;

In a data communication network, a telecommunication facility that connects two or more data stations according to the technical requirements of a link protocol is called a data link, or data link for short. In addition to physical lines, the data link must also have a communication protocol to control the transmission of these data. If the hardware and software implementing these protocols are added to the link, a data link is formed. The essence of a data link is the sum of links formed by data transmission as the medium, including links, link nodes, and link relationships. Corresponding to the data circuit, there are two basic topological structures of the data link, that is, a point-to-point link and a point-to-multipoint link, and the ring link is actually a derivative structure of the latter. No matter in a point-to-point or a point-to-multipoint link, which data station sends information and which data station receives information at any moment, or two stations send and receive information at the same time, this needs to be in accordance with the data link control regulations. regulation to control. The data link has three different operation modes: one-way, two-way alternate and two-way simultaneous, and their meanings are equivalent to three different types of data circuits: simplex, half-duplex and full-duplex. However, there is not necessarily a one-to-one correspondence between the two. For example, on a full-duplex data circuit, any link operation mode among the above three modes can be selected as required. However, if it is a simplex data circuit, it can only form a one-way data link, and other methods cannot be used.

Based on the above characteristics of the data link, the data station sending data in the data link is called the sending end, and the data station receiving data is called the receiving end. It should be noted that the sending end and the receiving end are relative terms , the sending end defined in this application refers to the end that sends the initial information. When the receiving end receives the data sent by the sending end and then responds, the end is also called the receiving end. A sending end can be connected with One receiving end can communicate, and one sending end can communicate with multiple receiving ends at the same time. The technical solution of the present application is to obtain the communication data during the interaction process between the sending end and the receiving end of one or more preset data links in the network. The communication data is the parameter data generated during the data transmission between the preset data links based on the preset communication protocol. During the communication process, the more important parameter data will be saved in the form of logs. In this application, the captured The communication information of is the parameter data that characterizes the quality of the network.

S2000. Classify the communication data according to a preset analysis type;

The preset analysis type is the type that can be used for statistical analysis during the network quality analysis process of this application, including but not limited to network delay time, data transmission rate, network packet loss rate, and transmission bandwidth of each link.

The default analysis type that fails is calculated from different communication data. For example, the packet loss rate of the network is calculated by the number of lost data packets in a certain period of time during link data transmission and the total data packets in this period of time. The ratio of the quantity, the transmission rate is the ratio of the transmission volume in a certain total transmission time, and so on. Based on the above characteristics, the acquired communication data is classified according to the preset analysis type, so as to facilitate subsequent network quality analysis.

S3000. Perform statistical calculation on the classified communication data to obtain quality parameter values of different preset analysis types in the network.

After the communication data is classified in step S2000, the communication data is statistically calculated according to the statistical calculation method of the corresponding preset analysis type to obtain the quality parameter value of the corresponding preset analysis type of the current network.

In an embodiment, please refer to FIG. 2 , the method for obtaining communication data between preset data links during the interaction process includes:

S1100. Obtain link information between each data sending end and each data receiving end;

S1200. Monitor the interaction status parameters between the data sending end and the data receiving end in each link according to the link information;

S1300. Generate communication data according to a preset rule according to the interaction state parameter.

Link information includes links, link nodes, and link relationships. When data needs to be analyzed, the link communication protocol in the preset data link, link node addresses, and links between links must be obtained first. relationship, whether it is one-to-one transmission or one-to-many transmission, and the name or code of each node, and its function, etc. By obtaining these link information, the interaction state parameters in each link can be further monitored.

The interactive state parameter is the parameter information generated during the link communication process, such as the time when the sending end sends data, the time when the receiving end receives the data, the quantity number sent, the start time of data communication, the deadline of data communication, etc. wait.

The communication data is calculated according to the corresponding calculation rules through the interaction state parameters associated with it. Specifically, please refer to FIG. 3. The method for generating communication data according to the interaction state parameters according to preset rules includes:

S1310. Select parameter data representing network quality from the interaction state parameters as target parameters;

S1320. Match the calculation rule of the target parameter in the first preset list;

S1330. Generate the communication data with the target parameter according to the calculation rule.

Since the communication data in this application is the data that characterizes the network quality, and the interaction state parameters acquired by the system are all the parameter information of the data interaction process, it is necessary to screen the acquired interaction state parameters and select the interaction state that can represent the network quality Parameters are defined as target parameters.

Since different communication data are calculated through corresponding interaction state parameters, by obtaining the first preset list, reading the calculation rules between each communication data and the interaction state parameters from the first preset list, and extracting the calculation rules, According to this calculation rule, the target parameters are generated into communication data.

For example, when the communication data is the transmission time, the calculation rule of the transmission time value is the difference period between the initial transmission time and the termination transmission time, and the system can filter out the initial transmission time and the termination transmission time during the link data communication process As the target parameter, the transmission time can be obtained by calculating according to the corresponding calculation rules. As another example, when the communication data is the transmission amount, the calculation rule of the transmission amount in the first preset list is the difference between the initial transmission data number and the terminated transmission data number plus 1, therefore, the initial transmission data is selected from the target parameters Number and end transmission data number, add 1 to the difference between the two data numbers as the transmission amount. In this way, the corresponding communication data can be obtained.

In an embodiment, please refer to FIG. 4 , the method for classifying the communication data according to a preset analysis type includes:

S2100. Obtain a second preset list, wherein the second preset list records the association relationship between the preset analysis type and the communication data;

S2200. Classify according to the mapping relationship between the preset analysis type and the communication data in the second preset list.

After the communication data is acquired according to step S1000, in the further network quality analysis process, it is necessary to classify the communication data according to the preset analysis type, so as to facilitate subsequent calculation. In this application, the preset analysis types include but are not limited to network delay time, data transmission rate, network packet loss rate, and transmission bandwidth of each link, etc., where the network delay time is the time from when the sender sends a certain message. Therefore, the communication data that has a mapping relationship with the preset analysis type of network delay time is the start time of the message information sent by the sender and the corresponding The reception time when the receiving end receives the message. The preset analysis type is the average transmission rate R, and the communication data mapped is the total time T spent on transmitting data and the total amount of transmitted data B during the data transmission process. The default analysis type is that the communication data mapped by the packet loss rate is all lost data packets during data transmission in a certain period of time, and the total number P of all transmitted data packets in this period of time. The default analysis type is that the communication data mapped by the transmission bandwidth is window size, window load and window frequency. According to the above mapping relationship between preset analysis types and communication data, the communication data can be classified according to preset analysis types.

In an embodiment, please refer to FIG. 5 , the method for statistically calculating the classified communication data to obtain quality parameter values of different preset analysis types in the network includes:

S3100. Obtain a third preset list, where the statistical rules corresponding to the preset analysis types are recorded in the third preset list;

S3200. Obtain statistical rules of the preset analysis type according to the third preset list;

S3300. Calculate the classified communication data according to the statistical rules to obtain quality parameter values of different preset analysis types in the network.

After the communication data is classified, statistical calculation is performed on the statistically calculated communication data according to the acquired statistical calculation rule corresponding to the preset analysis type. Statistical rules corresponding to the preset analysis types are recorded in the third preset list. After the classified communication data is obtained, the mapped communication data is processed according to the statistical rules of the preset analysis types.

Different preset analysis types have different statistical calculation rules. For example, for network delay RTT, it is the difference between the start time when the sender sends a certain message and the receiving time when the corresponding receiver receives the message , the average transmission rate R is the ratio of the total time T spent in data transmission to the total data volume B in the data transmission process, that is, R=B/T. The packet loss rate is LossP of all lost data packets during data transmission in a certain period of time, and the total number P of all transmitted data packets in this period of time, that is, the network packet loss rate is P/LossP. The default analysis type is that the transmission bandwidth of the receiving end is calculated by calculating the receiving end's window size*window load*window frequency/1. It should be noted that the window includes the sender window and the receiver window, where the sender window (congestion window, cwnd) is the TCP protocol, which is calculated by the control algorithm based on comprehensive indicators such as packet loss, delay, and predicted bandwidth. The size of the sent data; the receiver window (receiver window, rwnd), the receiver defines the maximum amount of data that can be accepted each time according to its own data processing capabilities. This field has nothing to do with the network, but it is a calculation parameter for the sending window. The sending window is generally smaller than the receiving window.

Further, please refer to Figure 6, which is a schematic diagram of link data transmission in this application, wherein node-Reveive is the sending end, Node-Send is the receiving end, and the sending end needs to send SYN information to complete the handshake when establishing a connection relationship with the receiving end action, the receiving end sends ACK+SYN information to the sending end after receiving the SY message, and the sending end replies ACK information to the receiving end to complete the handshake action. Received data request and request reply, so back and forth, when the data transmission is completed, the sender sends ACK data, when the sender sends the link to keep the message, the receiver replies to keep the connection ACK, when the sender sends the link to close the FIN message, receive The end sends a FIN ACK message to close the data link.

In this process, you can get the interactive state parameters of the sending end and the receiving end’s first sending time and the time of receiving SYN information, and the two map the delay time RTT; you can also get the amount of data from the data start request to the data end request. The interactive status parameter of the data volume, from which the total transmission volume D can be obtained, and the transmission window, the transmission time t1 during the establishment of the data channel, the idle time t2 during the establishment of the data channel, etc. can be obtained. By acquiring the above interaction state parameters, corresponding communication data can be generated.

In another embodiment, when the data receiving end is a mobile terminal, the preset analysis type further includes a signal strength value of the mobile terminal. Mobile terminals usually use mobile signals, so the signal strength value of the mobile terminal can be calculated through the communication data of the transmission rate and transmission volume.

In practice, the technical solution of the present application can use the counter embedded in the protocol negotiation process to realize the above identification. After a protocol interaction, the intermediate parameter interaction state parameters used in this interaction process are used for real-time statistics and Records used to measure network quality under protocol reconciliation.

After recording the existing link interaction information, a summary for each data transmission can be obtained. Based on these summary information, the quality of the entire network can be comprehensively evaluated. The network here refers to all networks that have data connections with the measured network nodes. node, rather than just describing the network state of a node. For example, Figure 7 describes the quality of a network node to the entire network. Each point indicates the network connectivity status of a network node in the network and the measured node. The abscissa indicates the network delay RTT, which generally refers to the Various physical information delays caused by links and devices, the vertical axis indicates the transmission rate SendRate, this indicator refers to the rate of data transmission on the network, and is the manifestation of network quality in terms of data. By counting the network connectivity status of all measured links, you can intuitively understand the quality status of the network. If you need to get the mean value, you can calculate the parameter estimation representing the total quality status of the network through statistical clustering algorithm.

In this application, the effect of data transmission under the comprehensive effect of transmission protocol and network quality is regarded as the embodiment of network quality, and the measurement index can describe the detailed parameters of each data transmission channel. The intermediate parameters generated by the evaluation of the network quality according to the transmission protocol and the included algorithm are recorded and analyzed as a quantitative measure of the network quality, without additional setting of internal network quality detection tools or applications, making the network The quality analysis is faster and gradual, and by obtaining the quality description information of each data interaction between network nodes and other nodes, the details of the data communication during the interaction process are recorded, including the parameters during the communication protocol interaction process. The amount of data is large, and statistical analysis is used The evaluation method of network quality is more objective, accurate and direct.

In the second aspect, please refer to FIG. 8, the present application discloses a network quality analysis device, including:

Obtaining module 1000: configured to acquire communication data between preset data links during the interaction process, wherein the communication data is generated during data transmission between preset data links based on a preset communication protocol Parameter data characterizing network quality;

Classification module 2000: configured to classify the communication data according to a preset analysis type;

Calculation module 3000: configured to perform statistical calculation on the classified communication data, so as to obtain quality parameter values of different preset analysis types in the network.

Optionally, the acquisition module includes:

Link information acquisition module: configured to acquire link information between each data sending end and each data receiving end;

Monitoring module: configured to monitor the interaction status parameters between the data sending end and the data receiving end in each link according to the link information;

A generating module: configured to generate communication data according to the interaction state parameters according to preset rules.

Optionally, the generating module includes:

A screening module: configured to perform screening of parameter data representing network quality from the interaction state parameters as target parameters;

Matching module: configured to execute calculation rules that match the target parameters in the first preset list;

A generating submodule: configured to generate the communication data from the target parameters according to the calculation rule.

Optionally, the classification module includes:

The first list obtaining module: configured to execute obtaining a second preset list, wherein the second preset list records the association relationship between the preset analysis type and the communication data;

A mapping module: configured to perform classification according to the mapping relationship between the preset analysis type and the communication data in the second preset list.

Optionally, the calculation module includes:

The second list acquisition module: configured to perform acquisition of a third preset list, wherein the statistical rules corresponding to the preset analysis types are recorded in the third preset list;

A rule obtaining module: configured to execute obtaining the statistical rules of the preset analysis type according to the third preset list;

Calculation sub-module: configured to perform calculation on the classified communication data according to the statistical rules to obtain quality parameter values of different preset analysis types in the network.

Optionally, the preset analysis type includes network delay time, data transmission rate, network packet loss rate and transmission bandwidth of each link.

Optionally, when the data receiving end is a mobile terminal, the preset analysis type further includes a signal strength value of the mobile terminal.

Since the above-mentioned network quality analysis device is a one-to-one implementation device for the network quality analysis method, and its implementation principle is the same, the specific description of the network quality analysis device will not be repeated here.

Please refer to FIG. 9 for a basic structural block diagram of a computer device provided by an embodiment of the present invention.

The computer device includes a processor, a non-volatile storage medium, a memory and a network interface connected through a system bus. Wherein, the non-volatile storage medium of the computer device stores an operating system, a database, and computer-readable instructions, the database can store control information sequences, and when the computer-readable instructions are executed by the processor, the processor can realize a A network quality analysis method. The processor of the computer equipment is used to provide computing and control capabilities and support the operation of the entire computer equipment. Computer-readable instructions may be stored in the memory of the computer device, and when executed by the processor, the computer-readable instruction may cause the processor to execute a network quality analysis method. The network interface of the computer device is used for connecting and communicating with the terminal. Those skilled in the art can understand that the structure shown in Figure 9 is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation on the computer equipment on which the solution of this application is applied. The specific computer equipment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

The computer device receives the status information of the prompt behavior sent by the associated client, that is, whether the associated terminal opens the prompt and whether the lender closes the prompt task. By verifying whether the above task conditions are met, and then sending a corresponding preset instruction to the associated terminal, so that the associated terminal can perform corresponding operations according to the preset instruction, thereby realizing effective supervision of the associated terminal. At the same time, when the state of the prompt information is different from the preset state command, the server side controls the associated terminal to keep ringing, so as to prevent the problem that the prompt task of the associated terminal is automatically terminated after a period of time.

The present invention also provides a storage medium storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, one or more processors perform the network quality analysis described in any of the above-mentioned embodiments. method.

Those of ordinary skill in the art can understand that realizing all or part of the processes in the methods of the above embodiments can be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. During execution, it may include the processes of the embodiments of the above-mentioned methods. Wherein, the aforementioned storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM).

It should be understood that although the various steps in the flow chart of the accompanying drawings are displayed sequentially according to the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the flow charts of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, and the order of execution is also It is not necessarily performed sequentially, but may be performed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

The above descriptions are only part of the embodiments of the present invention. It should be pointed out that those skilled in the art can make some improvements and modifications without departing from the principles of the present invention. It should be regarded as the protection scope of the present invention.

Claims (9)

1. A network quality analysis method, comprising:

acquiring communication data between preset data links in an interaction process, wherein the communication data are parameter data which are generated during data transmission based on a preset communication protocol and are used for representing network quality; the parameter data is obtained from a log of the data link communication; classifying the communication data according to a preset analysis type;

carrying out statistical calculation on the classified communication data to obtain quality parameter values of different preset analysis types in a network;

the method for acquiring the communication data between preset data links in the interaction process comprises the following steps:

acquiring link information between each data transmitting end and each data receiving end;

monitoring interaction state parameters of a data transmitting end and a data receiving end in each link according to the link information;

and generating communication data according to the interaction state parameters and preset rules.

2. The network quality analysis method according to claim 1, wherein the method of generating communication data according to the interaction state parameter and the preset rule comprises:

screening parameter data representing network quality from the interaction state parameters as target parameters;

matching the calculation rule of the target parameter in a first preset list;

and generating the communication data according to the target parameters according to the calculation rule.

3. The network quality analysis method according to claim 1, wherein the method of classifying the communication data according to a preset analysis type comprises:

acquiring a second preset list, wherein the association relation between the preset analysis type and the communication data is recorded in the second preset list;

classifying according to the mapping relation between the preset analysis type and the communication data in the second preset list.

4. A network quality analysis method according to claim 3, wherein the method for statistically calculating the classified communication data to obtain quality parameter values of different preset analysis types in the network comprises:

acquiring a third preset list, wherein the third preset list is recorded with a statistical rule corresponding to the preset analysis type;

acquiring a statistical rule of the preset analysis type according to the third preset list;

and calculating the classified communication data according to the statistical rule to obtain quality parameter values of different preset analysis types in the network.

5. The network quality analysis method according to claim 3, wherein the preset analysis types include a network delay time, a data transmission rate, a network packet loss rate, and a transmission bandwidth of each link.

6. The network quality analysis method according to claim 1, wherein when the data receiving terminal is a mobile terminal, the preset analysis type further includes a signal strength value of the mobile terminal.

7. A network quality analysis apparatus, comprising:

the acquisition module is used for: the communication data are parameter data which are generated during data transmission based on a preset communication protocol and used for representing network quality; the parameter data is obtained from a log of the data link communication;

the step of acquiring communication data between preset data links in the interaction process comprises the following steps:

acquiring link information between each data transmitting end and each data receiving end;

monitoring interaction state parameters of a data transmitting end and a data receiving end in each link according to the link information;

generating communication data according to the interaction state parameters and preset rules;

and a classification module: configured to perform classification of the communication data according to a preset analysis type;

the calculation module: and the quality parameter values of different preset analysis types in the network are obtained by performing statistical calculation on the classified communication data.

8. A computer device comprising a memory and a processor, the memory having stored therein computer readable instructions that, when executed by the processor, cause the processor to perform the steps of the network quality analysis method of any of claims 1 to 6.

9. A storage medium storing computer readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the network quality analysis method of any of claims 1 to 6.

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