CN111327471A - Network quality analysis method and device, computer equipment and storage medium - Google Patents

Abstract

Embodiments of the present invention disclose a network quality analysis method, device, computer equipment and storage medium, including: acquiring communication data between preset data links in an interaction process, wherein the communication data is a preset data link Parameter data representing network quality generated during data transmission based on a preset communication protocol between channels; classifying the communication data according to a preset analysis type; performing statistical calculation on the classified communication data to obtain the network Quality parameter values for the different preset analysis types in . The technical solution of the present application adopts the quality metric to describe each data transmission under the combined conditions of the network state and the transmission protocol, and does not need to set up additional internal network quality detection tools or applications, so that the network quality analysis is faster and more gradual, and the amount of data is large. Using statistical analysis to evaluate network quality, the evaluation is more objective, 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, and in particular, the present application relates to a network quality analysis method, apparatus, 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 in the process of data communication between different nodes within the network. The description of the network quality of a certain node often cannot cover all the network nodes it communicates with. The existing metrics generally try to describe the global state through a small number of sampling states by selecting a small number of nodes for random inspection and data transmission testing. .

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

One is 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 level. The specific implementation methods are bandwidth statistics, error statistics, etc.; Global measurement, which can describe the overall network status or the nominal capability, but cannot measure the quality of each network data flow that communicates with it, and can find network quality problems that have a large impact, but a large amount of statistical data will be lost. Therefore, it is impossible to detect individual or occasional network quality problems, thereby ignoring the underlying real problems. To sum up, there are two disadvantages of global measurement, namely: the measurement is general and the information is lost.

The other is local measurement, which attempts to describe the overall network quality by analyzing the samples of the random check. The specific implementation methods include broadcast testing and bandwidth testing. The data acquisition source of the local measurement method is realized through sampling. Sampling will generate the question of whether the sampling content is representative, and whether the sampling data indicators can represent the real state of all samples. For simulation, the samples are generally selected in the real exchange peer node network, but the state and behavior of the network peer are difficult to control in the network nodes that need to be tested. Therefore, in the real use process, sample sampling requires high costs. Satisfied, for example, by implanting a detection program on the client. To sum up, there are two disadvantages of local measurement, namely: sampling cost is difficult to control and the sample is not representative.

SUMMARY OF THE INVENTION

The present 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 application programs , the cost is low, and the analysis method is simple.

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

Obtaining communication data between preset data links in an 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 calculation is performed on the classified communication data to obtain quality parameter values of different preset analysis types in the network.

Optionally, the method for obtaining communication data between preset data links in an interaction process includes:

Obtain link information between each data sender and each data receiver;

Monitor the interaction state parameters of the data transmitter and the data receiver in each link according to the link information;

The communication data is generated according to the preset rule according to the interaction state parameter.

Optionally, the method for generating communication data according to the interaction state parameter according to a preset rule includes:

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

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

The communication data is generated from the target parameter according to the calculation rule.

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

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

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

Optionally, the method for 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 third preset list records the statistical rules corresponding to the preset analysis types;

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

The classified communication data is calculated according to the statistical rule 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, comprising:

Acquisition module: configured to perform acquisition of communication data between preset data links in an interaction process, wherein the communication data is a representation generated when data transmission is performed between preset data links based on a preset communication protocol Parameter data of network quality;

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

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

Optionally, the obtaining module includes:

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

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

Generating module: configured to execute the generation of communication data according to the interaction state parameter according to a preset rule.

Optionally, the generation module includes:

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

a matching module: configured to execute a calculation rule that matches the target parameter in the first preset list;

A generating sub-module: configured to perform generating the communication data from the target parameter according to the calculation rule.

Optionally, the classification module includes:

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

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 computing module includes:

A second list obtaining module: configured to execute and obtain a third preset list, wherein the third preset list records the statistical rules corresponding to the preset analysis types;

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

A calculation submodule: configured to perform calculation on the classified communication data according to the statistical rule 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 a third aspect, the embodiments of the present application further provide 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 caused to execute the steps of the above-mentioned network quality analysis method.

According to a fourth aspect, the 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, cause the one or more processors to execute The steps of the network quality analysis method described above.

The beneficial effects of the embodiments of the present application are:

The network quality analysis method, device, computer equipment and storage medium disclosed in this application record the effective parameters and variables that characterize the network quality of network communication during the interaction process by exploring and recording the data interaction during the transmission process of each link. , screen and count the recorded data, and use the quality metric to describe each data transmission under the combined conditions of network status and transmission protocol, without the need to set up additional network quality detection tools or applications, making network quality analysis faster and more efficient. Gradually, and by obtaining the quality description information of each data interaction between the network node and other nodes, the details of the data communication in the interaction process are recorded, 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 readily understood from the following description of embodiments taken in conjunction with the accompanying drawings, wherein:

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

2 is a flow chart of a method for obtaining communication data for the present application;

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

4 is a flowchart of a method for classifying communication data for the present application;

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

6 is a schematic diagram of link data transmission of the application;

FIG. 7 is a distribution diagram of transmission rate and information delay of multiple measurement nodes of the present application

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

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

Detailed ways

The following describes in detail the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, but not to be construed as a limitation on the present application.

It will be understood by those skilled in the art that the singular forms "a", "an", "the" and "the" as used herein can include the plural forms as well, unless expressly stated otherwise. It should be further understood that the word "comprising" used in the specification of this application refers to the presence of stated features, integers, steps, operations, elements and/or components, but does not preclude the presence or addition of one or more other features, Integers, steps, operations, elements, components and/or groups thereof.

It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It should also be understood that terms, such as those defined in a general dictionary, should be understood to have meanings consistent with their meanings in the context of the prior art and, unless specifically defined as herein, should not be interpreted in idealistic or overly formal meaning to explain.

Referring to FIG. 1, this embodiment discloses a network quality analysis method, including:

S1000. Acquire communication data between preset data links in an 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, abbreviated as a data link. In addition to the physical line, the data link must have a communication protocol to control the transmission of these data. If 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 a medium, including links, link nodes and link relationships. Corresponding to the data circuit, there are also two basic topological structures of the data link, namely, a point-to-point link and a point-to-multipoint link, and the ring link is actually a derivative of the latter. No matter in a point-to-point or point-to-multipoint link, at any moment which data station sends information, which data station receives information, or two stations send and receive information at the same time, this shall be in accordance with the data link control procedures. regulations to control. There are three different operation modes of data link: one-way, two-way alternating and two-way simultaneous, and their meanings are equivalent to three different types of circuits of simplex, half-duplex and full-duplex of data circuits. However, the two are not necessarily in a one-to-one correspondence. For example, on a full-duplex data circuit, any one of the above three link operation modes can be selected as required. However, if it is a simplex data circuit, it can only form a one-way data link, and cannot choose other methods.

Based on the above characteristics of the data link, the data station that sends data in the data link is called the sending end, and the data station that receives data is called the receiving end. It should be noted that the sending end and the receiving end are relative , the sender defined in this application refers to the end that sends the initial information. When the receiver responds after receiving the data sent by the sender, the sender is also called the receiver. A sender can communicate with A receiver can communicate with each other, or a sender can communicate with multiple receivers at the same time. The technical solution of the present application is to obtain the communication data in the interaction process between the sending end and the receiving end of one or more data links preset in the network. The communication data is the parameter data generated when the data is transmitted 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 is parameter data that characterizes the network quality.

S2000, classifying the communication data according to a preset analysis type;

The preset analysis type is a type that can be statistically analyzed in the network quality analysis process of the present application, including but not limited to network delay time, data transmission rate, network packet loss rate, transmission bandwidth of each link, and the like.

The preset analysis types that fail are calculated from different communication data. For example, the packet loss rate of the network is determined by the number of lost packets in a certain period of time during link data transmission and the total number of packets in this period of time. Quantity ratio, the transmission rate is the ratio of the transmission amount 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 one embodiment, referring to FIG. 2 , the method for acquiring communication data between preset data links during the interaction process includes:

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

S1200. Monitor, according to the link information, the interaction state parameters of the data sending end and the data receiving end in each link;

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

Link information includes links, link nodes and link relationships. When data analysis is required, the link communication protocol, link node address, and association between links in the preset data link must be obtained first. relationship, whether it is one-to-one sending or one-to-many sending, as well as the name or code of each node, as well as functions, 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 sender sends the data, the time when the receiver receives the data, the number of the sent quantity, the start time of the data communication, the end time of the 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 preset rules according to the interaction state parameters includes:

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

S1320, matching the calculation rule of the target parameter in the first preset list;

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

Since the communication data of the present application is the data that characterizes the network quality, and the interaction state parameters obtained by the system are all the parameter information of the data interaction process, it is necessary to screen the obtained interaction state parameters to select the interaction state that can characterize the network quality. The parameter is defined as the target parameter.

Since different communication data are calculated by corresponding interaction state parameters, by acquiring 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 time period between the initial transmission time and the termination transmission time. 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 rule. 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 termination transmission data number plus 1. Therefore, the initial transmission data is selected from the target parameter. The number and the data number of the termination transmission, add 1 to the difference between the two data numbers as the transmission amount. In this way, corresponding communication data can be obtained.

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

S2100. Acquire 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 process of further network quality analysis, the communication data also needs to be classified 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., wherein the network delay time is the starting point when the sender sends a certain packet. The difference between the starting time and the receiving time when the corresponding receiving end receives the message, so the communication data that has a mapping relationship with the preset analysis type of network delay time is the starting time when the sending end sends the message information and the corresponding The receiving time when the receiver receives the message. The communication data mapped by the preset analysis type as the average transmission rate R is the total time T spent in data transmission and the total transmission data volume B in the data transmission process. The communication data mapped by the preset analysis type as packet loss rate is all data packets lost 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 communication data mapped by the preset analysis type as transmission bandwidth are window size, window load and window frequency. According to the above-mentioned mapping relationship between the preset analysis type and the communication data, the communication data can be classified according to the preset analysis type.

In one embodiment, referring to FIG. 5 , the method for performing statistical calculation on the classified communication data to obtain quality parameter values of different preset analysis types in the network includes:

S3100. Obtain a third preset list, wherein the third preset list records the statistical rules corresponding to the preset analysis types;

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

S3300. Calculate the classified communication data according to the statistical rule 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 collected communication data according to the obtained statistical calculation rule corresponding to the preset analysis type. A statistical rule corresponding to the preset analysis type is recorded in the third preset list. After the classified communication data is obtained, the mapped communication data is processed according to the statistical rule of the preset analysis type.

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 packet and the receiving time when the corresponding receiver receives the packet. , the average transmission rate R is the ratio of the total time T spent in transmitting data to the size of the total amount of transmitted data 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 as the window size of the receiving end * window load * window frequency/1. It should be noted that the window includes the sender window and the receiver window, wherein the sender window (congestion window, cwnd) is the TCP protocol, which is calculated by the control algorithm according to comprehensive indicators such as packet loss, delay, and predicted bandwidth. The size of the sent data; the receiver window (rwnd), the maximum amount of data that can be accepted each time defined by the receiver according to its own data processing capabilities, this field has nothing to do with the network, but is the calculation parameter of the sending window, The send window is generally smaller than the receive window.

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

In this process, the interactive state parameters of the first sending time of the sender and the receiver and the time of receiving the SYN information can be obtained, and the two are mapped to the delay time RTT; the amount of data from the data start request to the data end request can also be obtained. The interactive state parameter of the data volume can obtain the total transmission volume D, and further obtain 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, and so on. 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. The mobile terminal usually uses a mobile signal, so the signal strength value of the mobile terminal can be calculated from the communication data of the transmission rate and the transmission amount.

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

After recording the existing link interaction information, a summary for each data transmission can be obtained. According to these summary information, the quality of the entire network can be comprehensively evaluated. The network here refers to all the networks that have data connections with the measured network nodes. nodes, rather than just describing the network state of a node. For example, Fig. 7 depicts the quality of a network node to the entire network. Each point indicates the network connectivity status between a network node in the network and the node being measured. The abscissa indicates the network delay RTT, which generally refers to the Various physical information delays caused by links and devices, the ordinate indicates the transmission rate SendRate, which refers to the rate of data transmission on the network, and is the manifestation of network quality in data. By counting the network connectivity status of all the measured links, the quality status of the network can be intuitively known. If the mean value needs to be obtained, the parameter estimates representing the overall quality status of the network can be calculated by statistical clustering algorithm.

In this application, the data outgoing effect exhibited by the comprehensive action of the transmission protocol and the network quality is regarded as the embodiment of the network quality, and the measured indicators 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 algorithms are recorded and analyzed as a quantitative measure of the network quality. The quality analysis is faster and gradual, and by obtaining the quality description information of each data interaction between the network node and other nodes, the details of the data communication in the interaction process are recorded, including the parameters in the communication protocol interaction process. The amount of data is large, and statistical analysis is used. The way to evaluate network quality is more objective, accurate, and more direct.

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

Acquisition module 1000: configured to perform acquisition of communication data between preset data links in an interaction process, wherein the communication data is generated between preset data links when data is transmitted based on a preset communication protocol. Parameter data characterizing network quality;

Classification module 2000: configured to perform classification of the communication data according to a preset analysis type;

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

Optionally, the obtaining module includes:

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

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

Generating module: configured to execute the generation of communication data according to the interaction state parameter according to a preset rule.

Optionally, the generation module includes:

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

a matching module: configured to execute a calculation rule that matches the target parameter in the first preset list;

A generating sub-module: configured to perform generating the communication data from the target parameter according to the calculation rule.

Optionally, the classification module includes:

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

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 computing module includes:

A second list obtaining module: configured to execute and obtain a third preset list, wherein the third preset list records the statistical rules corresponding to the preset analysis types;

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

A calculation submodule: configured to perform calculation on the classified communication data according to the statistical rule 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 apparatus is an implementation apparatus corresponding to the network quality analysis method, and its implementation principle is the same, the specific description of the network quality analysis apparatus 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, non-volatile storage medium, memory, and a network interface connected by a system bus. Wherein, the non-volatile storage medium of the computer device stores an operating system, a database and computer-readable instructions, and the database may store a sequence of control information. 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 device is used to provide computing and control capabilities and support the operation of the entire computer device. Computer-readable instructions may be stored in the memory of the computer device, and when executed by the processor, the computer-readable instructions may cause the processor to execute a network quality analysis method. The network interface of the computer equipment is used for communication with the terminal connection. Those skilled in the art can understand that the structure shown in FIG. 9 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

The computer device receives the status information of the prompting behavior sent by the associated client, that is, whether the associated terminal opens the prompting and whether the lender closes the prompting task. By verifying whether the above task conditions are met, a corresponding preset instruction is sent 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 prompt information state 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 execution.

The present invention further provides a storage medium storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the network quality analysis described in any of the foregoing embodiments method.

Those of ordinary skill in the art can understand that the realization of all or part of the processes in the methods of the above embodiments can be accomplished by instructing relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the program is During execution, it may include the processes of the embodiments of the above-mentioned methods. The aforementioned storage medium may be a non-volatile 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 flowchart of the accompanying drawings are sequentially shown in the order indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless explicitly stated herein, the execution of these steps is not strictly limited to the order and may be performed in other orders. Moreover, at least a part of the steps in the flowchart 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 execution sequence is also It does not have to be performed sequentially, but may be performed alternately or alternately with other steps or at least a portion of sub-steps or stages of other steps.

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

Claims (10)

1. a network quality analysis method, is characterized in that, comprises: Obtaining communication data between preset data links in an 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 calculation is performed on the classified communication data to obtain quality parameter values of different preset analysis types in the network. 2. The network quality analysis method according to claim 1, wherein the method for acquiring communication data between preset data links in an interaction process comprises: Obtain link information between each data sender and each data receiver; Monitor the interaction state parameters of the data transmitter and the data receiver in each link according to the link information; The communication data is generated according to the preset rule according to the interaction state parameter. 3. The network quality analysis method according to claim 2, wherein the method for generating communication data according to the interaction state parameter according to a 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 the first preset list; The communication data is generated from the target parameter according to the calculation rule. 4. The network quality analysis method according to claim 1, wherein the method for classifying the communication data according to a preset analysis type comprises: acquiring a second preset list, wherein the second preset list records the association relationship between the preset analysis type and the communication data; Classification is performed according to the mapping relationship between the preset analysis type and the communication data in the second preset list. 5. The network quality analysis method according to claim 4, wherein the method for performing statistical calculation on the classified communication data to obtain quality parameter values of different preset analysis types in the network comprises: obtaining a third preset list, wherein the third preset list records the statistical rules corresponding to the preset analysis types; Acquiring statistical rules of the preset analysis type according to the third preset list; The classified communication data is calculated according to the statistical rule to obtain quality parameter values of different preset analysis types in the network. 6 . The network quality analysis method according to claim 4 , wherein the preset analysis types include network delay time, data transmission rate, network packet loss rate and transmission bandwidth of each link. 7 . 7 . The network quality analysis method according to claim 1 , wherein when the data receiving end is a mobile terminal, the preset analysis type further includes a signal strength value of the mobile terminal. 8 . 8. A network quality analysis device, comprising: Acquisition module: configured to perform acquisition of communication data between preset data links in an interaction process, wherein the communication data is a representation generated when data transmission is performed between preset data links based on a preset communication protocol Parameter data of network quality; classification module: configured to perform classification of the communication data according to a preset analysis type; Calculation module: configured to perform statistical calculation on the classified communication data to obtain quality parameter values of different preset analysis types in the network. 9. A computer device comprising a memory and a processor, wherein computer-readable instructions are stored in the memory, and when the computer-readable instructions are executed by the processor, the processor is caused to perform as claimed in claims 1 to 7 The steps of the network quality analysis method according to any one of claims. 10. A storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform any one of claims 1 to 7 The steps of the network quality analysis method.

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