CN111327471B - Network quality analysis method, device, computer equipment and storage medium - Google Patents
Network quality analysis method, device, computer equipment and storage medium Download PDFInfo
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- CN111327471B CN111327471B CN202010111416.6A CN202010111416A CN111327471B CN 111327471 B CN111327471 B CN 111327471B CN 202010111416 A CN202010111416 A CN 202010111416A CN 111327471 B CN111327471 B CN 111327471B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/142—Network analysis or design using statistical or mathematical methods
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
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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
Technical Field
The present application relates to the field of network communications technologies, and in particular, to a network quality analysis method, a device, a computer device, and a storage medium.
Background
A data network is a complex system in which the definition of network quality refers to the information transfer characteristics exhibited during data communication between different nodes within the network. For the description of the network quality of a certain node, all the network nodes communicating with the node cannot be covered, and the existing measurement is generally that a small number of nodes are selected for spot check, and data transmission test is carried out to try to describe the global state through a small number of sampling states.
There are two methods used in the existing network metrics process:
one is global measurement, calculates the total flow, bandwidth, packet loss rate, error rate of the network, but has no way to view the state of each network connection microscopically, and the specific implementation method is bandwidth statistics, error statistics and the like; for global measurement of network quality, the overall network state or capacity can be described as nominal, but the quality of each network data stream communicated with the network state or capacity cannot be measured, and network quality problems with a large influence range can be found, but because statistical data can lose a large amount of detail information, individual or sporadic network quality problems cannot be perceived, and hidden real problems are ignored. Summarizing global metrics there are two disadvantages: measurement is general, and information is lost.
The other is local measurement, and the analysis is carried out on a sample of spot check to try to describe the overall network quality, and specific implementation methods include broadcast measurement, bandwidth test and the like. The data acquisition source of the local measurement method is realized by sampling, the sampling can generate whether the sampling content is representative or not, the sampled data index knows whether the sampling content can represent the real state of all samples, the samples are generally selected in a real exchange opposite node network in consideration of sample simulation as far as possible, but the state and the behavior of the opposite end of the network are difficult to control in the network node needing to be tested, and therefore, the sampling of the samples can be realized only with high cost in the real use process, for example, the sampling is realized by implanting a detection program on a client. Summarizing local metrics there are two disadvantages: the sampling cost is difficult to control and the sample is not representative.
Disclosure of Invention
The application discloses a network quality analysis method, a device, computer equipment and a storage medium, which can record data of each data interaction, analyze network quality in a statistical analysis mode, do not need to add an additional detection device or load an additional application program, and have low cost and simple analysis mode.
In one aspect, the present application discloses a network quality analysis method, including:
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.
Optionally, the method for acquiring communication data between preset data links in the interaction process includes:
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.
Optionally, the method for generating communication data according to the interaction state parameter and the 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 a first preset list;
and generating the communication data according to the target parameters 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 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.
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:
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.
Optionally, the preset analysis types include network delay time, data transmission rate, network packet loss rate and transmission bandwidth of each link.
Optionally, when the data receiving terminal 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:
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;
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.
Optionally, the acquiring module includes:
a link information acquisition module: configured to perform acquiring link information between each data transmitting end and each data receiving end;
and a monitoring module: configured to perform monitoring of interaction state parameters of a data transmitting end and a data receiving end in each link according to the link information;
the generation module is used for: is configured to perform generating communication data according to the interaction state parameters and the preset rules.
Optionally, the generating module includes:
and a screening module: is configured to perform screening of parameter data characterizing network quality from the interaction state parameters as target parameters;
and a matching module: configured to execute a calculation rule matching the target parameter in a first preset list;
generating a submodule: is 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: the method comprises the steps of executing acquisition of a second preset list, wherein the association relation between the preset analysis type and the communication data is recorded in the second preset list;
and a mapping module: is configured to perform classification according to the mapping relation between the preset analysis type and the communication data in the second preset list.
Optionally, the computing module includes:
a second list acquisition module: the method comprises the steps of executing acquisition of a third preset list, wherein the third preset list is recorded with statistical rules corresponding to the preset analysis types;
rule acquisition module: configured to perform a statistical rule that obtains the preset analysis type according to the third preset list;
and a calculation sub-module: and the communication data after classification is calculated according to the statistical rule to obtain quality parameter values of different preset analysis types in the network.
Optionally, the preset analysis types include network delay time, data transmission rate, network packet loss rate and transmission bandwidth of each link.
Optionally, when the data receiving terminal is a mobile terminal, the preset analysis type further includes a signal strength value of the mobile terminal.
According to a third aspect, embodiments of the present application further provide a computer device, including a memory and a processor, where the memory stores computer readable instructions that, when executed by the processor, cause the processor to perform the steps of the network quality analysis method described above.
Embodiments of the present application according to the fourth aspect also provide a storage medium storing computer readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the network quality analysis method described above.
The beneficial effects of the embodiment of the application are that:
according to the network quality analysis method, device, computer equipment and storage medium, effective parameters and variables representing network quality of network communication in the interaction process are recorded through exploration and recording of data interaction in each link transmission process, recorded data are screened and counted, quality measurement of each data transmission is described under the combined condition of network state and transmission protocol, an internal network quality detection tool or application is not required to be additionally arranged, network quality analysis is enabled to be faster and gradual, details of data communication in the interaction process, including parameters in the communication protocol interaction process, are recorded, data quantity is large, network quality is evaluated in a statistical analysis mode, and evaluation is more objective and accurate and direct.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a network quality analysis method of the present application;
FIG. 2 is a flow chart of a method of acquiring communication data according to the present application;
fig. 3 is a flow chart of a method for generating communication data according to the present application:
FIG. 4 is a flow chart of a method of classifying communication data according to the present application;
FIG. 5 is a flow chart of a method of statistical calculation of communication data according to the present application;
fig. 6 is a schematic diagram of link data transmission according to the present application;
FIG. 7 is a graph showing transmission rate and information delay profiles of multiple measurement nodes according to the present application
FIG. 8 is a block diagram of a network quality analysis device according to the present application;
fig. 9 is a basic structural block diagram of a computer device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, 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 by referring to the drawings are exemplary only for the purpose of illustrating the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do 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 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 unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Referring to fig. 1, a network quality analysis method is disclosed in this embodiment, which includes:
s1000, 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 used for representing network quality between the preset data links;
in a data communication network, a telecommunication installation, called a data link, for short a data link, connects two or more data stations according to the specifications of a link protocol. Data links (data links) must have a communication protocol to control the transmission of these data in addition to the physical lines. If hardware and software implementing these protocols are added to the link, a data link is constructed. The nature of a data link is a link sum, including links, link nodes, and link relationships, that is made up of data transmissions as a medium. Corresponding to data circuits, there are also two basic topologies for data links, namely point-to-point links and point-to-multipoint links, whereas ring links are actually a derivative of the latter. In either a point-to-point or point-to-multipoint link, information is transmitted by which data station, received by which data station, or transmitted and received simultaneously by both stations, all of which are controlled as prescribed by the data link control procedure. The data link has three different operation modes of unidirectional, bidirectional alternation and bidirectional simultaneously, and the meanings of the data link are equivalent to three different types of circuits of simplex, half duplex and full duplex of the data circuit. However, the two modes are not necessarily in a one-to-one correspondence, for example, on a full duplex data circuit, and any link operation mode of the three modes can be selected according to the need. However, in the case of simplex data circuits, only unidirectional data links can be constructed, and no other means can be selected.
Based on the above characteristics of the data link, a data station for transmitting data in the data link is called a transmitting end, a data station for receiving data is called a receiving end, and it is to be noted that the transmitting end and the receiving end are relatively speaking, the transmitting end defined in the application refers to an end for transmitting initial information, and when the receiving end receives the data transmitted by the transmitting end and then responds, the end is also called a receiving end, and one transmitting end can communicate with one receiving end alone or with a plurality of receiving ends simultaneously. The technical scheme of the application is to acquire communication data between a sending end and a receiving end of one or more preset data links in a network in an interaction process. The communication data are parameter data generated during data transmission based on a preset communication protocol between preset data links, and important parameter data are stored in a log mode in the communication process.
S2000, classifying the communication data according to a preset analysis type;
the preset analysis type is a type which can carry out statistical analysis in the network quality analysis process of the application, and comprises, but is not limited to, network delay time, data transmission rate, network packet loss rate, transmission bandwidth of each link and the like.
The failed preset analysis type is calculated by different communication data, such as packet loss rate of a network, is a ratio of the number of lost data packets in a certain time period to the total number of data packets in the time period in the link data transmission process, and the transmission rate is a ratio of transmission quantity in a certain total transmission time. Based on the characteristics, the acquired communication data are classified according to the preset analysis types, so that subsequent network quality analysis is facilitated.
S3000, carrying out statistical calculation on the classified communication data to obtain quality parameter values of different preset analysis types in the network.
After classifying the communication data in step S2000, the communication data is statistically calculated according to the statistical calculation mode of the corresponding preset analysis type to obtain the quality parameter value of the current network corresponding to the preset analysis type.
In an embodiment, referring to fig. 2, the method for acquiring communication data in an interaction process between preset data links includes:
s1100, acquiring link information between each data transmitting end and each data receiving end;
s1200, monitoring interaction state parameters of a data transmitting end and a data receiving end in each link according to the link information;
s1300, generating communication data according to the interaction state parameters and the preset rules.
When the data needs to be analyzed, the link information comprises links, link nodes and link relations, the link communication protocol, the link node address and the association relation between the links in the preset data link are acquired, whether the links are transmitted one by one or transmitted one by one, the names or codes of all the nodes, the functions and the like, and interaction state parameters in all the links can be further monitored by acquiring the link information.
The interaction state parameter is parameter information generated in the link communication process, such as time of transmitting data by the transmitting end, time of receiving the data by the receiving end, number of transmitted data, starting time point of data communication, ending time point of data communication, and the like.
The communication data is obtained by calculating the interaction state parameters with association relations according to corresponding calculation rules, and specifically referring to fig. 3, the method for generating the communication data according to the interaction state parameters according to preset rules includes:
s1310, screening parameter data representing network quality from the interaction state parameters as target parameters;
s1320, matching calculation rules of the target parameters in a first preset list;
s1330, generating the communication data according to the target parameters according to the calculation rule.
Because the communication data of the application are data representing the network quality, and the interaction state parameters acquired by the system are all parameter information for carrying out the data interaction process, the acquired interaction state parameters need to be screened, and the interaction state parameters which can represent the network quality are selected to be defined as target parameters.
Because different communication data are obtained through calculation through corresponding interaction state parameters, the calculation rule between each communication data and the interaction state parameters is read from the first preset list through obtaining the first preset list, the calculation rule is extracted, and the target parameters are generated into the communication data according to the calculation rule.
For example, when the communication data is 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 screen the initial transmission time and the termination transmission time as target parameters in the link data communication process, and calculate according to the corresponding calculation rule, so as to obtain the transmission time. For another example, when the communication data is the transmission amount, the calculation rule of the transmission amount in the first preset list is that the number of differences between the initial transmission data number and the termination transmission data number is increased by 1, so that the initial transmission data number and the termination transmission data number are selected from the target parameters, and the difference between the two data numbers is increased by 1 to be used 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 a preset analysis type includes:
s2100, 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;
s2200, classifying according to the mapping relation 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 analyzing the network quality, the communication data is further classified according to the preset analysis type, so as to facilitate subsequent calculation. In the present application, the preset analysis type includes, but is not limited to, a network delay time, a data transmission rate, a network packet loss rate, a transmission bandwidth of each link, and the like, where the network delay time is a difference between a start time when a sending end sends a certain message and a receiving time when a corresponding receiving end receives the message, so that communication data having a mapping relationship with the preset analysis type, which is the network delay time, is a start time when the sending end sends message information and a receiving time when the corresponding receiving end receives the message. The communication data mapped by the preset analysis type for the transmission average rate R is the total time T and the total transmission data amount B spent for transmitting data in the data transmission process. The communication data mapped by the preset analysis type packet loss rate is the total number P of all lost data packets in the data transmission process in a certain time period and all transmitted data packets in the time period. The communication data mapped by the preset analysis type for the transmission bandwidth is window size, window load and window frequency. According to the mapping relation between the preset analysis type and the communication data, the communication data can be classified according to the preset analysis type.
In an 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 a network includes:
s3100, a third preset list is obtained, wherein the statistical rule corresponding to the preset analysis type is recorded in the third preset list;
s3200, acquiring a statistical rule of the preset analysis type according to the third preset list;
s3300, calculating the classified communication data according to the statistical rule to obtain quality parameter values of different preset analysis types in the network.
And after classifying the communication data, carrying out statistical calculation on the counted communication data according to the obtained statistical calculation rule corresponding to the preset analysis type. And recording a statistical rule corresponding to the preset analysis type in a third preset list, and processing the mapped communication data according to the statistical rule of the preset analysis type after the classified communication data are acquired.
Different preset analysis types have different statistical calculation rules, for example, for network delay RTT, the difference between the start time when a sender sends a certain message and the receiving time when a corresponding receiver receives the message, and the transmission average rate R is the ratio of the total time T spent for transmitting data in the data transmission process to the total transmission data amount B, i.e. r=b/T. The packet loss rate is the total number P of all lost data packets in the data transmission process in a certain time period, and the total number P of all transmitted data packets in the time period, namely the network packet loss rate is P/LossP. The preset analysis type is calculated by calculating window frequency/1, wherein the transmission bandwidth of the receiving end is the window size of the receiving end. The window includes a transmitting end window and a receiving end window, wherein the transmitting end window (congestion window, cwnd) is the size of each transmitted data calculated by a control algorithm according to comprehensive indexes such as packet loss, delay, predicted bandwidth and the like in the TCP protocol; a receiving end window (rwnd), the receiving end has no relation with the network according to the maximum acceptable data amount of each time defined by the data processing capability of the receiving end, but the sending window is generally smaller than the receiving window for calculating parameters of the sending window.
Further, please refer to fig. 6, which is a schematic diagram of link data transmission in the present application, wherein Node-reactive is a transmitting end, node-Send is a receiving end, when the transmitting end establishes a connection relationship with the receiving end, SYN information needs to be sent to complete a handshake action, after receiving the SY message, the receiving end sends ack+syn information to reply to the transmitting end, when the receiving end replies ACK information to complete the handshake action, after completing the handshake action, the transmitting end starts to perform a data request, and the receiving end replies the received data request and the request, so that the transmitting end sends ACK data when the data transmission is completed, the transmitting end sends link maintenance information, the receiving end replies to maintain connection ACK, when the transmitting end sends link shutdown FIN information, and the receiving end sends FIN ACK information to perform data link shutdown.
In the process, the interaction state parameters of the first sending time of the sending end and the receiving end and the time of receiving SYN information can be obtained, and the interaction state parameters map the delay time RTT; the interactive state parameters from the data volume of the data start request to the data volume of the data end request can be obtained, so that the total transmission volume D can be obtained, and the transmission window, the transmission time t1 in the data channel establishment process, the idle time t2 in the data channel establishment process and the like can be further obtained. By acquiring the 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 typically employ mobile signals, and thus the signal strength value of the mobile terminal can be calculated from the transmission rate and the amount of communication data transmitted.
The technical scheme of the application can be realized by using a counter embedded in the protocol negotiation process in practice, and after one protocol interaction, the intermediate parameter interaction state parameters used in the interaction process are counted and recorded in real time so as to measure the network quality under the protocol reconciliation effect.
The summary for each data transmission can be obtained by recording the existing link interaction information, and the quality of the whole network can be comprehensively evaluated according to the summary information, wherein the network refers to all network nodes which have data connection with the measured network nodes, and the network state of only one node is described. For example, fig. 7 depicts the quality of a network node to the entire network, each point indicating the network connectivity status of a network node and measured nodes in the network, wherein the abscissa indicates the network delay RTT, which generally refers to various physical information delays on the network due to links and devices, and the ordinate indicates the transmission rate SendRate, which refers to the rate of data transmission on the network, which is a representation of the network quality in terms of data. The quality state of the network can be intuitively known by counting the network communication states of all measured links, and if the average value is required to be obtained, the parameter estimation value representing the total quality state of the network can be obtained through calculation of a statistical clustering algorithm.
According to the method and the device, under the comprehensive action of the transmission protocol and the network quality, the expressed data transmission effect is used as the representation of the network quality, and meanwhile, the measured index can describe the detail parameter of each data transmission channel. According to the transmission protocol and the intermediate parameters generated by the evaluation of the network quality by the contained algorithm, the intermediate parameters are recorded and analyzed to serve as quantitative measurement of the network quality, an internal network quality detection tool or application is not required to be additionally arranged, so that the network quality analysis is faster and gradually changed, the details of data communication in the interaction process, including parameters in the interaction process of the communication protocol, are recorded by acquiring the quality description information of each data interaction of network nodes and other nodes, the data quantity is large, the network quality is evaluated in a statistical analysis mode, and the evaluation is more objective and accurate and more direct.
In a second aspect, referring to fig. 8, the present application discloses a network quality analysis device, including:
acquisition module 1000: the communication data are parameter data which are generated during data transmission based on a preset communication protocol and used for representing network quality;
classification module 2000: configured to perform classification of the communication data according to a preset analysis type;
calculation module 3000: and the quality parameter values of different preset analysis types in the network are obtained by performing statistical calculation on the classified communication data.
Optionally, the acquiring module includes:
a link information acquisition module: configured to perform acquiring link information between each data transmitting end and each data receiving end;
and a monitoring module: configured to perform monitoring of interaction state parameters of a data transmitting end and a data receiving end in each link according to the link information;
the generation module is used for: is configured to perform generating communication data according to the interaction state parameters and the preset rules.
Optionally, the generating module includes:
and a screening module: is configured to perform screening of parameter data characterizing network quality from the interaction state parameters as target parameters;
and a matching module: configured to execute a calculation rule matching the target parameter in a first preset list;
generating a submodule: is 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: the method comprises the steps of executing acquisition of a second preset list, wherein the association relation between the preset analysis type and the communication data is recorded in the second preset list;
and a mapping module: is configured to perform classification according to the mapping relation between the preset analysis type and the communication data in the second preset list.
Optionally, the computing module includes:
a second list acquisition module: the method comprises the steps of executing acquisition of a third preset list, wherein the third preset list is recorded with statistical rules corresponding to the preset analysis types;
rule acquisition module: configured to perform a statistical rule that obtains the preset analysis type according to the third preset list;
and a calculation sub-module: and the communication data after classification is calculated according to the statistical rule to obtain quality parameter values of different preset analysis types in the network.
Optionally, the preset analysis types include network delay time, data transmission rate, network packet loss rate and transmission bandwidth of each link.
Optionally, when the data receiving terminal 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 an implementation device for one-to-one correspondence to the network quality analysis method, the implementation principle is the same, and therefore, detailed description of the network quality analysis device will not be repeated here.
The embodiment of the invention provides a basic structure block diagram of computer equipment and please refer to fig. 9.
The computer device includes a processor, a non-volatile storage medium, a memory, and a network interface connected by a system bus. The nonvolatile storage medium of the computer device stores an operating system, a database and computer readable instructions, the database can store a control information sequence, and the computer readable instructions can enable the processor to realize a network quality analysis method when the computer readable instructions are executed by the processor. The processor of the computer device is used to provide computing and control capabilities, supporting the operation of the entire computer device. The memory of the computer device may have stored therein computer readable instructions that, when executed by the processor, cause the processor to perform a network quality analysis method. The network interface of the computer device is for communicating with a terminal connection. It will be appreciated by those skilled in the art that the structure shown in fig. 9 is merely a block diagram of a portion of the structure associated with the present application and is not limiting of the computer device to which the present application applies, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
The computer device receives the state information of the prompt behavior sent by the associated client, namely whether the associated terminal starts the prompt and whether the borrower closes the prompt task. By verifying whether the task conditions are met or not, a corresponding preset instruction is further sent to the associated terminal, so that the associated terminal can execute corresponding operation according to the preset instruction, and effective supervision of the associated terminal is achieved. Meanwhile, when the prompt information state is different from a preset state instruction, the server side controls the associated terminal to continuously ring so as to prevent the problem that the prompt task of the associated terminal is automatically terminated after being executed for a period of time.
The invention also provides a storage medium storing computer readable instructions that, when executed by one or more processors, cause the one or more processors to perform the network quality analysis method of any of the embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored in a computer-readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present invention, and such modifications and adaptations are intended to be comprehended within the 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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| CN112532481B (en) * | 2020-11-24 | 2022-01-11 | 四川泽上恒信科技有限公司 | Network quality monitoring and analyzing method, system and storage medium |
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| CN114448496B (en) * | 2022-03-21 | 2022-08-16 | 北京国电高科科技有限公司 | Data transmission method and system applied to satellite Internet of things half-duplex terminal |
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