CN112199260A - Application monitoring method, device, system, terminal equipment and storage medium - Google Patents

Application monitoring method, device, system, terminal equipment and storage medium Download PDF

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CN112199260A
CN112199260A CN202011289990.7A CN202011289990A CN112199260A CN 112199260 A CN112199260 A CN 112199260A CN 202011289990 A CN202011289990 A CN 202011289990A CN 112199260 A CN112199260 A CN 112199260A
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performance index
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程永生
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Oppo Chongqing Intelligent Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
    • G06F11/321—Display for diagnostics, e.g. diagnostic result display, self-test user interface
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
    • G06F11/3062—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations where the monitored property is the power consumption
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3466—Performance evaluation by tracing or monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/36—Preventing errors by testing or debugging software
    • G06F11/3668—Software testing
    • G06F11/3672—Test management
    • G06F11/368—Test management for test version control, e.g. updating test cases to a new software version

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Abstract

The application discloses an application monitoring method, a device, a system, a terminal device and a storage medium, wherein the method comprises the following steps: acquiring performance influence parameters of the application in the application running process; counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application; obtaining an abnormal performance index of the application according to the application running performance statistical result; based on the abnormal performance index, drawing and displaying an abnormal performance index display graph applied in a preset time period; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index. According to the method and the device, the application performance and the version are effectively monitored, the problem of the application performance is found in time, the version is conveniently and quickly updated, and the user viscosity is improved.

Description

Application monitoring method, device, system, terminal equipment and storage medium
Technical Field
The present application relates to the field of application monitoring technologies, and in particular, to an application monitoring method, apparatus, system, terminal device, and storage medium.
Background
With the development of the intelligent terminal technology, various applications on the intelligent terminal are increasing, and convenience and fun are brought to life of people, especially games, and a plurality of users are enjoyed in the intelligent terminal. However, during playing a game, a user often encounters problems of stuttering, temperature rise, power consumption and the like, which results in a poor game experience.
At present, the problem of the currently released mobile phone game version can be found only by a user feedback mode, and the problems of jamming, temperature rise and power consumption in the game playing process of the user cannot be timely repaired. But instead wait until a large number of users have fed back and caught the log, and then solve the problem and release a new game version. Existing solutions of this kind have a long cycle time and reduced user stickiness.
Disclosure of Invention
The application monitoring method, device, system, terminal device and storage medium are mainly used for effectively monitoring performance of an application in an operation process, finding out application performance problems in time, conveniently and quickly updating versions and improving user viscosity.
In order to achieve the above object, an embodiment of the present application provides an application monitoring method, where the application monitoring method includes the following steps:
acquiring performance influence parameters of the application in the application running process;
counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application;
obtaining an abnormal performance index of the application according to the application running performance statistical result;
based on the abnormal performance index, drawing and displaying an abnormal performance index display graph applied in a preset time period; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index.
In addition, an application monitoring method is further provided in the embodiments of the present application, where the application monitoring method includes the following steps:
receiving an application running performance statistical result reported by a terminal, wherein the application running performance statistical result is obtained by the terminal according to the performance influence parameter statistics of the application collected in the application running process;
calculating to obtain an abnormal performance index of the application according to the application running performance statistical result;
and drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index.
In addition, an application monitoring method is further provided in the embodiments of the present application, where the application monitoring method includes the following steps:
receiving performance influence parameters of the application in the running process of the application reported by a terminal;
counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application;
obtaining an abnormal performance index of the application according to the application running performance statistical result;
and drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index.
In addition, this application embodiment also provides an application monitoring device, the application monitoring device includes:
the acquisition module is used for acquiring performance influence parameters of the application in the running process of the application;
the statistical module is used for counting and obtaining the application running performance statistical result of the application according to the performance influence parameters of the application;
the acquisition module is used for acquiring the abnormal performance index of the application according to the application running performance statistical result;
the display module is used for drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index.
In addition, this application embodiment also provides an application monitoring device, the application monitoring device includes:
the receiving module is used for receiving an application running performance statistical result reported by a terminal, wherein the application running performance statistical result is obtained by the terminal according to the performance influence parameter statistics of the application collected in the application running process;
the calculation module is used for calculating and obtaining the abnormal performance index of the application according to the application running performance statistical result;
and the drawing and displaying module is used for drawing and displaying the abnormal performance index display graph applied in the preset time period based on the abnormal performance index.
In addition, this application embodiment also provides an application monitoring device, the application monitoring device includes:
the parameter receiving module is used for receiving the performance influence parameters of the application in the running process of the application reported by the terminal;
the statistical module is used for counting and obtaining the application running performance statistical result of the application according to the performance influence parameters of the application;
the computing module is used for obtaining the abnormal performance index of the application according to the application running performance statistical result;
and the display module is used for drawing and displaying the abnormal performance index display graph applied in the preset time period based on the abnormal performance index. .
In addition, an application monitoring system is further provided in an embodiment of the present application, including: the terminal station and with the server of terminal network communication connection, wherein:
the terminal is used for acquiring performance influence parameters of the application in the application running process; counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application;
the server is used for receiving the application running performance statistical result reported by the terminal, obtaining the abnormal performance index of the application according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index.
In addition, an embodiment of the present application further provides a terminal device, where the terminal device includes a memory, a processor, and an application monitoring program that is stored on the memory and can be run on the processor, and when being executed by the processor, the application monitoring program implements the steps of the application monitoring program method described above.
Furthermore, an embodiment of the present application also provides a computer-readable storage medium, where an application monitoring program is stored on the computer-readable storage medium, and when being executed by a processor, the application monitoring program implements the steps of the application monitoring program method described above.
According to the application monitoring method, the device, the system, the terminal equipment and the storage medium, performance influence parameters of the application in the application running process are collected; counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application; obtaining an abnormal performance index of the application according to the application running performance statistical result; based on the abnormal performance index, drawing and displaying an abnormal performance index display graph applied in a preset time period; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index. Through the performance data such as temperature rise, blockage and power consumption in the running process of the application (such as a game) displayed by the abnormal performance index display graph, the application performance and the version are monitored, and a product developer can find the problem of the application version more quickly, so that the problem is solved, the version is updated quickly, the developer can track and solve the problem more conveniently, a user has better application experience, and the user viscosity is improved.
Drawings
Fig. 1 is a schematic diagram of functional modules of a terminal device to which the application monitoring apparatus belongs;
FIG. 2 is a schematic flow chart diagram of an exemplary embodiment of a monitoring method of the present application;
FIG. 3 is a graph illustrating an abnormal Caton rate/average frame rate curve according to an embodiment of the present disclosure;
FIG. 4 is a graph showing the abnormal temperature increase rate/average maximum temperature curve in the example of the present application;
FIG. 5 is a graph illustrating an abnormal power consumption rate/average current curve according to an embodiment of the present application;
FIG. 6 is a schematic flow chart diagram illustrating another exemplary embodiment of a monitoring method of the present application;
fig. 7 is a schematic flow chart of another exemplary embodiment of the monitoring method applied in the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The main solution of the embodiment of the application is as follows: acquiring performance influence parameters of the application in the running process of the application; counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application; obtaining an abnormal performance index of the application according to the application running performance statistical result; based on the abnormal performance index, drawing and displaying an abnormal performance index display graph applied in a preset time period; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index. Through the performance data such as temperature rise, blockage and power consumption in the running process of the application (such as a game) displayed by the abnormal performance index display graph, the application performance and the version are monitored, and a product developer can find the problem of the application version more quickly, so that the problem is solved, the version is updated quickly, the developer can track and solve the problem more conveniently, a user has better application experience, and the user viscosity is improved.
The technical terms related to the embodiments of the present application are shown in the following table:
Figure BDA0002782108790000051
Figure BDA0002782108790000061
in the embodiment of the application, the problem of the currently released mobile phone game version can be usually found only through a user feedback mode in the existing related scheme, the problems of stumbling, temperature rise and power consumption in the game playing process of the user cannot be timely repaired, and a large amount of user feedback needs to be waited and logs are captured, then the problems are solved, and a new game version is released. Existing solutions of this kind have a long cycle time and reduced user stickiness.
Therefore, the embodiment of the application provides a solution, which can effectively monitor the performance of the application in the running process, find the problem of the application performance in time, conveniently and quickly update the version, and improve the user viscosity.
Specifically, referring to fig. 1, fig. 1 is a schematic diagram of a functional module of a terminal device to which the application monitoring apparatus belongs. The application monitoring device may be a device that is independent of the terminal device and can monitor the application-related performance parameters, and may be carried on the terminal device in the form of hardware or software. The terminal device can be an intelligent mobile terminal such as a mobile phone and a tablet personal computer, and can also be a network device such as a server.
In this embodiment, the terminal device to which the application monitoring apparatus belongs at least includes an output module 110, a processor 120, a memory 130, and a communication module 140.
The memory 130 stores an operating system and an application monitoring program, and the application monitoring device may store information such as collected performance impact parameters of the application during the running process of the application, application running performance statistical results obtained by statistics, and abnormal performance indexes of the application obtained according to the application running performance statistical results in the memory 130; the output module 110 may be a display screen, a speaker, etc. The communication module 140 may include a WIFI module, a mobile communication module, a bluetooth module, and the like, and communicates with an external device or a server through the communication module 140.
As an embodiment, the application monitoring program in the memory 130 implements the following steps when executed by the processor:
acquiring performance influence parameters of the application in the application running process;
counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application;
obtaining an abnormal performance index of the application according to the application running performance statistical result;
based on the abnormal performance index, drawing and displaying an abnormal performance index display graph applied in a preset time period; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
after game play begins, acquiring a frame rate and a frame interval in the game running process at intervals of first preset time;
the step of counting to obtain the application running performance statistical result of the application according to the performance influence parameter of the application comprises the following steps:
according to the collected frame interval in the game running process, counting the average frame interval of the current game;
according to the collected frame rate in the game running process or in combination with the frame rate and the average frame interval, counting frame rate related parameters in the current game play, wherein the frame rate related parameters comprise one or more of the following parameters: frame rate standard deviation, low frame rate, percentage of continuously losing more than preset frame number and average frame rate;
and judging whether the current game is stuck according to the frame rate related parameters to obtain the stuck condition.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
judging whether one of the frame rate standard deviation, the occupation ratio of more than the continuous lost preset frame number and the low frame rate is greater than a corresponding preset threshold value or judging whether the average frame rate is less than the corresponding preset threshold value; if so, judging that the current game is stuck, otherwise, judging that the current game is not stuck.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
and calculating the abnormal chucking rate of the game according to the chucking condition, wherein the abnormal chucking rate is the game hand number with the chucking/the total game hand number.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
and drawing and displaying a curve graph of the change of the abnormal stuck rate applied in the preset time period along with the time based on the abnormal stuck rate, or drawing and displaying a curve graph of the change of the abnormal stuck rate applied in the preset time period and the change of the average frame rate along with the time based on the abnormal stuck rate and the average frame rate.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
after the game is played, acquiring the temperature in the game running process at intervals of second preset time;
the step of counting to obtain the application running performance statistical result of the application according to the performance influence parameter of the application comprises the following steps:
and counting the collected temperature in the game running process, and judging whether the current game is heated or not to obtain the heating condition.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
counting whether at least one of the collected temperatures exceeds a preset temperature threshold value within the time of the current game for game, if so, judging that the current game for game generates heat, otherwise, judging that the current game for game does not generate heat.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
and calculating the abnormal temperature rise rate of the game according to the heating condition, wherein the abnormal temperature rise rate is the game hand number with heating/total game hand number.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
and drawing and displaying a curve graph of the change of the abnormal temperature rise rate applied in the preset time period along with the time based on the abnormal temperature rise rate, or drawing and displaying a curve graph of the change of the abnormal temperature rise rate applied in the preset time period and the change of the average maximum temperature along with the time based on the abnormal temperature rise rate and the average maximum temperature.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
after the game is played, collecting the starting current and the ending current in the game running process at an interval of third preset time;
the step of counting to obtain the application running performance statistical result of the application according to the performance influence parameter of the application comprises the following steps:
calculating to obtain the average current of the current game according to the collected starting current and ending current in the game running process;
and judging whether the current game of the game pair has abnormal power consumption according to the average current to obtain the abnormal power consumption condition.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
and judging whether the average current is larger than a preset current threshold value, if so, judging that the power consumption of the current game is abnormal, otherwise, judging that the power consumption of the current game is not abnormal.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
and calculating the abnormal power consumption rate of the game according to the abnormal power consumption condition, wherein the abnormal power consumption rate is the game number with abnormal power consumption/total game number.
Further, the application monitoring program in the memory 130 when executed by the processor further implements the steps of:
and drawing and displaying a curve graph of the change of the abnormal power consumption rate applied in the preset time period along with the time based on the abnormal power consumption rate, or drawing and displaying a curve graph of the change of the abnormal power consumption rate applied in the preset time period and the change of the average current along with the time based on the abnormal power consumption rate and the average current.
According to the scheme, the performance influence parameters of the application in the running process of the application are collected; counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application; obtaining an abnormal performance index of the application according to the application running performance statistical result; based on the abnormal performance index, drawing and displaying an abnormal performance index display graph applied in a preset time period; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index. Through the performance data such as temperature rise, blockage and power consumption in the running process of the application (such as a game) displayed by the abnormal performance index display graph, the application performance and the version are monitored, and a product developer can find the problem of the application version more quickly, so that the problem is solved, the version is updated quickly, the developer can track and solve the problem more conveniently, a user has better application experience, and the user viscosity is improved.
Based on the above terminal device architecture but not limited to the above architecture, embodiments of the method of the present application are provided.
The execution main body of the method of this embodiment may be an application monitoring device, and the application monitoring device may be a device that is independent of the terminal device and can implement application-related performance parameter monitoring, and may be carried on the terminal device in the form of hardware or software. The terminal equipment can be an intelligent mobile terminal such as a mobile phone and a tablet personal computer. In this embodiment, a mobile phone is taken as an example, and various kinds of application software such as games can be installed on the mobile phone.
Referring to fig. 2, fig. 2 is a schematic flow chart of an exemplary embodiment of the monitoring method applied in the present application. The application monitoring method comprises the following steps:
step S101, collecting performance influence parameters of the application in the running process of the application;
in this embodiment, the application running on the mobile phone may be a game or other application software, and taking a game as an example, problems that may occur in the game running performance include: stuck, temperature rise, power consumption, etc.
The performance affecting parameters of the game may include: frame rate, frame interval, temperature, current, etc.
After game play begins, acquiring a frame rate and a frame interval in the game running process at intervals of first preset time; and acquiring the temperature in the game running process at intervals of second preset time, and acquiring the current in the game running process at intervals of third preset time so as to obtain the performance abnormity index of the game according to the acquired game performance influence parameters.
The interval of the first preset time, the second preset time and the third preset time can be configured according to actual conditions, for example, the real-time frame rate and the frame interval of 2 s/time capture games are configured in the background; configuring the real-time temperature of 6 s/time grabbing games; and 6 s/time grabbing game real-time current is configured.
It should be noted that, the collection of the above parameters may be one parameter collected in one game of game play, or may be a plurality of parameters collected in one game of game play. That is, one performance influencing parameter of the game can be collected at one time, and one performance problem, such as a single stuck problem, a temperature rise problem or a power consumption problem, can be analyzed; and various performance influence parameters of the game can be acquired at one time, and various performance problems, such as the problem of blocking, the problem of temperature rise and the problem of power consumption, can be analyzed at the same time.
Step S102, counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application;
step S103, obtaining an abnormal performance index of the application according to the application running performance statistical result;
wherein, according to the performance problem of game operation, the corresponding application operation performance statistical result may include: the game may include a stuck condition, a temperature rise condition, and a power consumption condition, and accordingly, the abnormal performance index of the game may include: abnormal stuck rate, abnormal temperature rise rate, and abnormal power consumption rate.
The following is set forth in three scenarios.
Specifically, as an application scenario, for a game stuck condition, the step of acquiring performance impact parameters of the application in the running process of the application may include:
after game play begins, acquiring a frame rate and a frame interval in the game running process at intervals of a first preset time (such as 2 s/time); the timer can be started after the game is played, data can be captured at regular time through the timer and cached locally (the time of each index is regular, and the server can be configured, so that different requirements of different models are met conveniently).
The obtaining, by statistics, an application running performance statistical result of the application according to the performance impact parameter of the application may include:
according to the collected frame interval in the game running process, counting the average frame interval of the current game;
according to the collected frame rate in the game running process or in combination with the frame rate and the average frame interval, counting frame rate related parameters in the current game play, wherein the frame rate related parameters comprise one or more of the following parameters: frame rate standard deviation, low frame rate, percentage of continuously losing more than preset frame number and average frame rate;
the ratio of continuously losing more than the preset number of frames may be, for example, a ratio of continuously losing more than 3 frames.
The ratio of continuously losing more than 3 frames is the number of times of frame appearing more than 3 frames continuously lost/total frame number. The higher the ratio of continuously losing more than 3 frames, the more the game is stuck.
The frame rate standard deviation (FpsStandardDeviation) reflects the frame rate stability, and the larger the frame rate standard deviation is, the worse the frame rate stability is.
The low frame rate is generally the target frame rate of the game, such as 30/60/90, and the lower percentage of the target frame rate is the low frame rate.
As an embodiment, the server may define a threshold value of duty/frame rate standard deviation/low frame rate (which may be dynamically configured for model/game) for continuously losing 3 or more frames, and determine whether the game is stuck based on the threshold value.
After the game of play is over, the collected data can be processed to obtain frame rate related parameters such as a frame rate standard deviation, a ratio of continuously losing more than 3 frames, an average frame rate (AvgFps), a low frame rate and the like in the game of play.
Specifically, whether the current game is stuck is judged according to the frame rate related parameters, and the stuck condition is obtained. The specific judgment scheme is as follows:
judging whether one of the frame rate standard deviation, the occupation ratio of more than the continuous lost preset frame number and the low frame rate is greater than a corresponding preset threshold value or judging whether the average frame rate is less than the corresponding preset threshold value; if so, judging that the current game is stuck, otherwise, judging that the current game is not stuck.
The mobile phone end can report the pause condition of each game to the server, the server performs data statistics, screening and display, and the server can support dimension screening of different types, applications, time and the like, so that data can be output more accurately; in other modes, the statistical screening display can be performed locally at the mobile phone terminal.
As an embodiment, the step of obtaining the abnormal performance index of the application according to the running performance statistic result of the application may include:
calculating an abnormal katon rate of the game according to the katon condition, wherein:
the abnormal hiton rate is the number of game plays where a hiton occurs/the total number of game plays.
As another application scenario, for the game temperature rise condition, the step of acquiring the performance impact parameters of the application in the application running process further includes:
after the game is played, collecting the temperature in the running process of the game at intervals of a second preset time (such as 6 s/time);
the step of counting to obtain the application running performance statistical result of the application according to the performance influence parameter of the application comprises the following steps:
and counting the collected temperature in the game running process, and judging whether the current game is heated or not to obtain the heating condition. The concrete implementation is as follows:
counting whether at least one of the collected temperatures exceeds a preset temperature threshold value within the time of the current game for game, if so, judging that the current game for game generates heat, otherwise, judging that the current game for game does not generate heat.
For example, the server may define a maximum temperature ServerMaxThermal (preset temperature threshold), a continuous time of 2min (the server may be dynamically configured according to model, game, etc.).
Wherein, the meaning of 2min continuously is: if the temperature is reduced through the system temperature control strategy after heating, the user perception is not strong, the game is normal, namely, the data collected in less than 2min is not reported.
And after the game of the local game is finished, processing the collected data to obtain the maximum temperature MaxTheramal with continuous overproof temperature in the game matching process.
For example, in the process of one game, the temperature is collected for 6 s/time, the temperature parameter with the temperature greater than 45 ℃ is collected within the time lasting for more than 2min, after the game is finished, the temperature value with the highest temperature is selected, if the temperature value is greater than the highest temperature defined by the server, the game is judged to be in a heating state, and the heating condition of the game of the server is reported. In the data counted by the server, each game is heated or not heated.
Then, obtaining the abnormal performance index of the application according to the application running performance statistical result, specifically comprising:
and calculating the abnormal temperature rise rate of the game according to the heating condition, wherein the abnormal temperature rise rate is the game hand number with heating/total game hand number.
As another application scenario, for a game power consumption situation, the application running performance statistics result further includes a power consumption situation, and the step of collecting the performance impact parameters of the application in the application running process further includes:
after the game is played, collecting current in the game running process at an interval of third preset time;
the step of counting to obtain the application running performance statistical result of the application according to the performance influence parameter of the application comprises the following steps:
calculating to obtain the average current of the current game according to the collected current in the game running process;
and judging whether the current game of the game pair has abnormal power consumption according to the average current to obtain the abnormal power consumption condition. The specific scheme is as follows:
and judging whether the average current is larger than a preset current threshold value, if so, judging that the power consumption of the current game is abnormal, otherwise, judging that the power consumption of the current game is not abnormal.
For example, the server may define the highest current servermaxcurent (the server may be dynamically configured according to model, game, etc.).
After the game of the local game is finished, processing the collected data to obtain a starting Current StartBatteryRemain and an ending temperature EndBatteryRemain in the game matching process, and calculating the average Current of the game (EndBatteryRemain-StartBatteryRemain)/timeUuser (game duration).
The average current may also be calculated from the plurality of currents collected.
If charging is carried out in the game process, the power consumption of the game is not uploaded and discarded, which takes into account that the charging data may be inaccurate.
Then, obtaining the abnormal performance index of the application according to the application running performance statistical result, specifically comprising:
and calculating the abnormal power consumption rate of the game according to the abnormal power consumption condition, wherein the abnormal power consumption rate is the game number with abnormal power consumption/total game number.
Step S104, drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index.
As an implementation manner, a graph of the change of the abnormal stuck rate with time applied in the preset time period may be drawn and displayed locally on the mobile phone terminal based on the abnormal performance indexes such as the abnormal stuck rate, the abnormal temperature rise rate, the abnormal power consumption rate, and the like. Further, based on the abnormal stuck rate and in combination with the average frame rate, the time-varying graphs of the abnormal stuck rate and the average frame rate applied in the preset time period may be plotted and displayed, or the time-varying graphs of the average frame rate may be displayed separately.
As another embodiment, the mobile phone may also report abnormal performance indexes such as an abnormal stuck rate, an abnormal temperature rise rate, an abnormal power consumption rate, and the like to the server, the server obtains the abnormal performance index of the application according to the application running performance statistical result, and based on the abnormal performance index, the abnormal performance index display diagram applied in the preset time period is drawn and displayed.
Specifically, taking a server display as an example, as an implementation manner for the stuck condition, on the server, based on the abnormal stuck rate, a graph of the abnormal stuck rate applied in the preset time period as a function of time may be drawn and displayed, as shown in fig. 3, further, based on the abnormal stuck rate and in combination with the average frame rate, a graph of the abnormal stuck rate applied in the preset time period and the average frame rate as a function of time may be drawn and displayed, or a graph of the average frame rate as a function of time may be separately displayed.
As shown in FIG. 3, the graph is presented to allow a user to view the average frame rate and the chundon during the game.
Compared with the prior art, the method has the advantages that: the game system can compare the situation of large-disc jamming for different versions of the game, and if a certain version has problems, the problem can be found quickly, so that the problem can be solved quickly. In addition, for different game versions of the mobile phone, the situation of large-scale blocking can be compared, if the curve is raised, the problem is shown to exist, developers can find the reason of the problem quickly, the problem is solved, the version is updated, and the user has better experience. In addition, for high frame rate games, such as 90 frames, the condition of the average frame rate of the user can be checked through a large disk, and the problem is timely handled; for some new features, whether the newly added items have influence on the mortgage or not can be checked by comparing the newly added versions.
As an implementation manner of the temperature rise condition, on the server, based on the abnormal temperature rise rate, a graph of the time variation of the abnormal temperature rise rate applied in the preset time period is drawn and displayed, or based on the abnormal temperature rise rate and the average highest temperature, a graph of the time variation of the abnormal temperature rise rate applied in the preset time period and the average highest temperature is drawn and displayed, as shown in fig. 4.
As shown in FIG. 4, the heating condition and the average highest temperature condition of the user during the game can be checked on a large scale.
Compared with the prior art, the method has the advantages that: the average maximum temperature of the large disk and the abnormal temperature rise of the large disk can be compared for different versions of the game, if a certain version has problems, the problems can be found quickly, and therefore the problems can be solved quickly. In addition, for different game versions of the mobile phone, the temperature conditions of the large disc can be compared, if the curve is raised, the problem is possibly existed, developers can conveniently and quickly find the reason of the problem, the problem is solved, the version is updated, and the user has better experience. In addition, for some new features, whether the newly added items have influence on temperature rise or not can be checked by comparing the newly added versions.
As an embodiment, for the power consumption situation, on the server, based on the abnormal power consumption rate, a graph of the abnormal power consumption rate applied in the preset time period as a function of time may be drawn and displayed, or based on the abnormal power consumption rate and the average current, a graph of the abnormal power consumption rate applied in the preset time period and the average current as a function of time may be drawn and displayed, as shown in fig. 5.
As shown in fig. 5, the power consumption and average current of the user during the game can be checked on a large scale.
Compared with the prior art, the method has the advantages that: the condition of the average current of a large disk can be compared for different versions of the game, if a certain version has a problem, the problem can be quickly found, and therefore the problem can be quickly solved. In addition, for different game versions of the mobile phone, the average current and abnormal current conditions of the large disc can be compared, if the curve is raised, the problem is possibly existed, developers can conveniently and quickly find the reason of the problem, the problem is solved, the version is updated, and the user has better experience. In addition, for some new features, whether the newly added items have influence on power consumption or not can be checked by comparing the versions with the newly added versions.
Further, as an extension of the technical scheme, value early warning can be performed according to the average maximum temperature/abnormal temperature rise rate/average frame rate/abnormal stuck rate/average current/abnormal power consumption rate, for example, if a certain index triggers a certain value in the displayed large-disk data, an early warning notification can be sent to a product developer or a system administrator through a mail or the like, so that related personnel of the product can conveniently and quickly check the problem, and the monitoring effectiveness of the game performance problem is improved.
According to the scheme, the performance influence parameters of the application in the running process of the application are collected; counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application; obtaining an abnormal performance index of the application according to the application running performance statistical result; based on the abnormal performance index, drawing and displaying an abnormal performance index display graph applied in a preset time period; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index. Through the performance data such as temperature rise, blockage and power consumption in the running process of the application (such as a game) displayed by the abnormal performance index display graph, the application performance and the version are monitored, and a product developer can find the problem of the application version more quickly, so that the problem is solved, the version is updated quickly, the developer can track and solve the problem more conveniently, a user has better application experience, and the user viscosity is improved.
Referring to fig. 6, fig. 6 is a schematic flow chart of another exemplary embodiment of the monitoring method applied in the present application. The application monitoring method comprises the following steps:
step S201, receiving an application running performance statistical result reported by a terminal, wherein the application running performance statistical result is obtained by the terminal according to the performance influence parameter statistics of the application collected in the application running process;
step S202, calculating and obtaining an abnormal performance index of the application according to the application running performance statistical result;
step S203, based on the abnormal performance index, drawing and displaying an abnormal performance index display diagram applied in a preset time period.
Compared with the embodiment shown in fig. 2, the present embodiment implements a solution for application monitoring from the server side.
Specifically, the server receives an application running performance statistical result reported by the terminal, and the application running performance statistical result is obtained by the terminal according to the performance influence parameter statistics of the application collected in the application running process.
Taking a terminal as a mobile phone for example, the mobile phone acquires performance influence parameters of the application in the application running process. In this embodiment, the application running on the mobile phone may be a game or other application software, and taking a game as an example, problems that may occur in the game running performance include: stuck, temperature rise, power consumption, etc.
The performance affecting parameters of the game may include: frame rate, frame interval, temperature, current, etc.
After game play begins, acquiring a frame rate and a frame interval in the game running process at intervals of first preset time; and acquiring the temperature in the game running process at intervals of second preset time, and acquiring the current in the game running process at intervals of third preset time so as to obtain the performance abnormity index of the game according to the acquired game performance influence parameters.
The interval of the first preset time, the second preset time and the third preset time can be configured according to actual conditions, for example, the real-time frame rate and the frame interval of 2 s/time capture games are configured in the background; configuring the real-time temperature of 6 s/time grabbing games; and 6 s/time grabbing game real-time current is configured.
It should be noted that, the collection of the above parameters may be one parameter collected in one game of game play, or may be a plurality of parameters collected in one game of game play. That is, one performance influencing parameter of the game can be collected at one time, and one performance problem, such as a single stuck problem, a temperature rise problem or a power consumption problem, can be analyzed; and various performance influence parameters of the game can be acquired at one time, and various performance problems, such as the problem of blocking, the problem of temperature rise and the problem of power consumption, can be analyzed at the same time.
And the mobile phone counts and obtains the application running performance statistical result of the application according to the performance influence parameters of the application and reports the statistical result to the server.
And the server obtains the abnormal performance index of the application according to the application running performance statistical result.
Wherein, according to the performance problem of game operation, the corresponding application operation performance statistical result may include: the game may include a stuck condition, a temperature rise condition, and a power consumption condition, and accordingly, the abnormal performance index of the game may include: abnormal stuck rate, abnormal temperature rise rate, and abnormal power consumption rate.
The following is set forth in three scenarios.
Specifically, as an application scenario, for a game stuck condition, acquiring, by a mobile phone, a performance impact parameter of an application in an application running process may include:
after game play begins, acquiring a frame rate and a frame interval in the game running process at intervals of a first preset time (such as 2 s/time); the timer can be started after the game is played, data can be captured at regular time through the timer and cached locally (the time of each index is regular, and the server can be configured, so that different requirements of different models are met conveniently).
The mobile phone obtains the application running performance statistic result of the application according to the performance influence parameter of the application by statistics, and the statistics may include:
according to the collected frame interval in the game running process, counting the average frame interval of the current game;
according to the collected frame rate in the game running process or in combination with the frame rate and the average frame interval, counting frame rate related parameters in the current game play, wherein the frame rate related parameters comprise one or more of the following parameters: frame rate standard deviation, low frame rate, percentage of continuously losing more than preset frame number and average frame rate;
the ratio of continuously losing more than the preset number of frames may be, for example, a ratio of continuously losing more than 3 frames.
The ratio of continuously losing more than 3 frames is the number of times of frame appearing more than 3 frames continuously lost/total frame number. The higher the ratio of continuously losing more than 3 frames, the more the game is stuck.
The frame rate standard deviation (FpsStandardDeviation) reflects the frame rate stability, and the larger the frame rate standard deviation is, the worse the frame rate stability is.
The low frame rate is generally the target frame rate of the game, such as 30/60/90, and the lower percentage of the target frame rate is the low frame rate.
As an embodiment, the server may define a threshold value of duty/frame rate standard deviation/low frame rate (which may be dynamically configured for model/game) for continuously losing 3 or more frames, and determine whether the game is stuck based on the threshold value.
After the game of play is over, the collected data can be processed to obtain frame rate related parameters such as a frame rate standard deviation, a ratio of continuously losing more than 3 frames, an average frame rate (AvgFps), a low frame rate and the like in the game of play.
Specifically, whether the current game is stuck is judged according to the frame rate related parameters, and the stuck condition is obtained. The specific judgment scheme is as follows:
judging whether one of the frame rate standard deviation, the occupation ratio of more than the continuous lost preset frame number and the low frame rate is greater than a corresponding preset threshold value or judging whether the average frame rate is less than the corresponding preset threshold value; if so, judging that the current game is stuck, otherwise, judging that the current game is not stuck.
The mobile phone end can report the pause condition of each game to the server, the server performs data statistics, screening and display, and the server can support dimension screening of different types, applications, time and the like, so that data can be output more accurately; in other modes, the statistical screening display can be performed locally at the mobile phone terminal.
As an embodiment, the server calculates an abnormal katon rate of the game according to the katon condition, wherein:
the abnormal hiton rate is the number of game plays where a hiton occurs/the total number of game plays.
As another application scenario, for the game temperature rise condition, the acquiring, by the mobile phone, the performance impact parameter of the application in the application running process may further include:
after the game is played, the temperature during the running process of the game is collected at a second preset time interval (such as 6 s/time).
Then, the mobile phone counts the collected temperature in the game running process, and judges whether the current game is heated or not to obtain the heating condition. The concrete implementation is as follows:
counting whether at least one of the collected temperatures exceeds a preset temperature threshold value within the time of the current game for game, if so, judging that the current game for game generates heat, otherwise, judging that the current game for game does not generate heat.
For example, the server may define a maximum temperature ServerMaxThermal (preset temperature threshold), a continuous time of 2min (the server may be dynamically configured according to model, game, etc.).
Wherein, the meaning of 2min continuously is: if the temperature is reduced through the system temperature control strategy after heating, the user perception is not strong, the game is normal, namely, the data collected in less than 2min is not reported.
And after the game of the local game is finished, processing the collected data to obtain the maximum temperature MaxTheramal with continuous overproof temperature in the game matching process.
For example, in the process of one game, the temperature is collected for 6 s/time, the temperature parameter with the temperature greater than 45 ℃ is collected within the time lasting for more than 2min, after the game is finished, the temperature value with the highest temperature is selected, if the temperature value is greater than the highest temperature defined by the server, the game is judged to be in a heating state, and the heating condition of the game of the server is reported. In the data counted by the server, each game is heated or not heated.
Then, the server calculates an abnormal temperature rise rate of the game, which is the number of game plays in which heat is generated/the total number of game plays, according to the heat generation condition.
As another application scenario, for the game power consumption situation, the acquiring, by the mobile phone, the performance impact parameter of the application in the application running process may further include:
and after the game is played, collecting the current in the game running process at an interval of a third preset time.
Then, the mobile phone calculates and obtains the average current of the current game according to the collected current in the game running process;
and judging whether the current game of the game pair has abnormal power consumption according to the average current to obtain the abnormal power consumption condition. The specific scheme is as follows:
and judging whether the average current is larger than a preset current threshold value, if so, judging that the power consumption of the current game is abnormal, otherwise, judging that the power consumption of the current game is not abnormal.
For example, the server may define the highest current servermaxcurent (the server may be dynamically configured according to model, game, etc.).
After the game of the local game is finished, processing the collected data to obtain a starting Current StartBatteryRemain and an ending temperature EndBatteryRemain in the game matching process, and calculating the average Current of the game (EndBatteryRemain-StartBatteryRemain)/timeUuser (game duration).
The average current may also be calculated from the plurality of currents collected.
If charging is carried out in the game process, the power consumption of the game is not uploaded and discarded, which takes into account that the charging data may be inaccurate.
Then, the server calculates the abnormal power consumption rate of the game according to the abnormal power consumption condition, wherein:
the abnormal power consumption rate is the game play number with abnormal power consumption/total game play number.
And then, based on the abnormal performance index, the server draws and displays an abnormal performance index display graph applied in a preset time period.
Specifically, as an embodiment, for the stuck condition, on the server, based on the abnormal stuck rate, a graph of the abnormal stuck rate applied in the preset time period as a function of time may be drawn and displayed, as shown in fig. 3, further, based on the abnormal stuck rate and in combination with the average frame rate, a graph of the abnormal stuck rate applied in the preset time period and the average frame rate as a function of time may be drawn and displayed, or a graph of the average frame rate as a function of time may be separately displayed.
As shown in FIG. 3, the graph is presented to allow a user to view the average frame rate and the chundon during the game.
Compared with the prior art, the method has the advantages that: the game system can compare the situation of large-disc jamming for different versions of the game, and if a certain version has problems, the problem can be found quickly, so that the problem can be solved quickly. In addition, for different game versions of the mobile phone, the situation of large-scale blocking can be compared, if the curve is raised, the problem is shown to exist, developers can find the reason of the problem quickly, the problem is solved, the version is updated, and the user has better experience. In addition, for high frame rate games, such as 90 frames, the condition of the average frame rate of the user can be checked through a large disk, and the problem is timely handled; for some new features, whether the newly added items have influence on the mortgage or not can be checked by comparing the newly added versions.
As an implementation manner of the temperature rise condition, on the server, based on the abnormal temperature rise rate, a graph of the time variation of the abnormal temperature rise rate applied in the preset time period is drawn and displayed, or based on the abnormal temperature rise rate and the average highest temperature, a graph of the time variation of the abnormal temperature rise rate applied in the preset time period and the average highest temperature is drawn and displayed, as shown in fig. 4.
As shown in FIG. 4, the heating condition and the average highest temperature condition of the user during the game can be checked on a large scale.
Compared with the prior art, the method has the advantages that: the average maximum temperature of the large disk and the abnormal temperature rise of the large disk can be compared for different versions of the game, if a certain version has problems, the problems can be found quickly, and therefore the problems can be solved quickly. In addition, for different game versions of the mobile phone, the temperature conditions of the large disc can be compared, if the curve is raised, the problem is possibly existed, developers can conveniently and quickly find the reason of the problem, the problem is solved, the version is updated, and the user has better experience. In addition, for some new features, whether the newly added items have influence on temperature rise or not can be checked by comparing the newly added versions.
As an embodiment, for the power consumption situation, on the server, based on the abnormal power consumption rate, a graph of the abnormal power consumption rate applied in the preset time period as a function of time may be drawn and displayed, or based on the abnormal power consumption rate and the average current, a graph of the abnormal power consumption rate applied in the preset time period and the average current as a function of time may be drawn and displayed, as shown in fig. 5.
As shown in fig. 5, the power consumption and average current of the user during the game can be checked on a large scale.
Compared with the prior art, the method has the advantages that: the condition of the average current of a large disk can be compared for different versions of the game, if a certain version has a problem, the problem can be quickly found, and therefore the problem can be quickly solved. In addition, for different game versions of the mobile phone, the average current and abnormal current conditions of the large disc can be compared, if the curve is raised, the problem is possibly existed, developers can conveniently and quickly find the reason of the problem, the problem is solved, the version is updated, and the user has better experience. In addition, for some new features, whether the newly added items have influence on power consumption or not can be checked by comparing the versions with the newly added versions.
Further, as an extension of the technical scheme, value early warning can be performed according to the average maximum temperature/abnormal temperature rise rate/average frame rate/abnormal stuck rate/average current/abnormal power consumption rate, for example, if a certain index triggers a certain value in the displayed large-disk data, an early warning notification can be sent to a product developer or a system administrator through a mail or the like, so that related personnel of the product can conveniently and quickly check the problem, and the monitoring effectiveness of the game performance problem is improved.
According to the scheme, the application running performance statistical result reported by the terminal is received, and the application running performance statistical result is obtained by the terminal according to the performance influence parameter statistics of the application collected in the application running process; calculating to obtain an abnormal performance index of the application according to the application running performance statistical result; and drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index. Through the performance data such as temperature rise, blockage and power consumption in the running process of the application (such as a game) displayed by the abnormal performance index display graph, the application performance and the version are monitored, and a product developer can find the problem of the application version more quickly, so that the problem is solved, the version is updated quickly, the developer can track and solve the problem more conveniently, a user has better application experience, and the user viscosity is improved.
Referring to fig. 7, fig. 7 is a schematic flowchart of a further exemplary embodiment of the application monitoring method of the present application, where the application monitoring method includes the following steps:
step S301, receiving performance influence parameters of the application in the application running process reported by the terminal;
step S302, counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application;
step S303, obtaining an abnormal performance index of the application according to the application running performance statistical result;
step S304, based on the abnormal performance index, drawing and displaying an abnormal performance index display graph applied in a preset time period.
Compared with the embodiment shown in fig. 6, in this embodiment, the server receives the performance impact parameters of the application in the application running process reported by the terminal, and obtains the application running performance statistical result of the application by statistics according to the performance impact parameters of the application, that is, the application running performance statistical result of the application is completed by the server side.
According to the scheme, the performance influence parameters of the application in the running process of the application reported by the receiving terminal are specifically received; counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application; obtaining an abnormal performance index of the application according to the application running performance statistical result; and drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index. Through the performance data such as temperature rise, blockage and power consumption in the running process of the application (such as a game) displayed by the abnormal performance index display graph, the application performance and the version are monitored, and a product developer can find the problem of the application version more quickly, so that the problem is solved, the version is updated quickly, the developer can track and solve the problem more conveniently, a user has better application experience, and the user viscosity is improved.
In addition, this application embodiment also provides an application monitoring device, the application monitoring device includes:
the acquisition module is used for acquiring performance influence parameters of the application in the running process of the application;
the statistical module is used for counting and obtaining the application running performance statistical result of the application according to the performance influence parameters of the application;
the acquisition module is used for acquiring the abnormal performance index of the application according to the application running performance statistical result;
the display module is used for drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index.
For the principle and implementation process of application monitoring, please refer to the above embodiments, which are not described herein again.
In addition, this application embodiment also provides an application monitoring device, the application monitoring device includes:
the receiving module is used for receiving an application running performance statistical result reported by a terminal, wherein the application running performance statistical result is obtained by the terminal according to the performance influence parameter statistics of the application collected in the application running process;
the calculation module is used for calculating and obtaining the abnormal performance index of the application according to the application running performance statistical result;
and the drawing and displaying module is used for drawing and displaying the abnormal performance index display graph applied in the preset time period based on the abnormal performance index.
For the principle and implementation process of application monitoring, please refer to the above embodiments, which are not described herein again.
In addition, this application embodiment also provides an application monitoring device, the application monitoring device includes:
the parameter receiving module is used for receiving the performance influence parameters of the application in the running process of the application reported by the terminal;
the statistical module is used for counting and obtaining the application running performance statistical result of the application according to the performance influence parameters of the application;
the computing module is used for obtaining the abnormal performance index of the application according to the application running performance statistical result;
and the display module is used for drawing and displaying the abnormal performance index display graph applied in the preset time period based on the abnormal performance index.
For the principle and implementation process of application monitoring, please refer to the above embodiments, which are not described herein again.
In addition, an application monitoring system is further provided in an embodiment of the present application, including: the terminal station and with the server of terminal network communication connection, wherein:
the terminal is used for acquiring performance influence parameters of the application in the application running process; counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application;
the server is used for receiving the application running performance statistical result reported by the terminal, obtaining the abnormal performance index of the application according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index.
Since the application monitoring program is executed by the processor, all technical solutions of all the foregoing embodiments are adopted, so that at least all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are achieved, and details are not repeated herein.
In addition, the embodiment of the present application further provides a terminal device, where the terminal device includes a memory, a processor, and an application monitoring program that is stored on the memory and can be run on the processor, and when the application monitoring program is executed by the processor, the steps of the application monitoring method according to the above embodiments are implemented.
Since the application monitoring program is executed by the processor, all technical solutions of all the foregoing embodiments are adopted, so that at least all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are achieved, and details are not repeated herein.
In addition, an embodiment of the present application further provides a computer-readable storage medium, where an application monitoring program is stored on the computer-readable storage medium, and when the application monitoring program is executed by a processor, the steps of the application monitoring method according to the embodiments described above are implemented.
Since the application monitoring program is executed by the processor, all technical solutions of all the foregoing embodiments are adopted, so that at least all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are achieved, and details are not repeated herein.
Compared with the prior art, the application monitoring method, the application monitoring device, the application monitoring system, the terminal device and the storage medium provided by the embodiment of the application influence parameters by collecting the performance of the application in the application running process; counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application; obtaining an abnormal performance index of the application according to the application running performance statistical result; based on the abnormal performance index, drawing and displaying an abnormal performance index display graph applied in a preset time period; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index. Through the performance data such as temperature rise, blockage and power consumption in the running process of the application (such as a game) displayed by the abnormal performance index display graph, the application performance and the version are monitored, and a product developer can find the problem of the application version more quickly, so that the problem is solved, the version is updated quickly, the developer can track and solve the problem more conveniently, a user has better application experience, and the user viscosity is improved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.

Claims (22)

1. An application monitoring method, characterized in that the application monitoring method comprises the steps of:
acquiring performance influence parameters of the application in the application running process;
counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application;
obtaining an abnormal performance index of the application according to the application running performance statistical result;
based on the abnormal performance index, drawing and displaying an abnormal performance index display graph applied in a preset time period; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index.
2. The application monitoring method according to claim 1, wherein the application is a game, the application running performance statistics include a stuck condition, and the step of collecting the performance impact parameters of the application during the running process of the application comprises:
after game play begins, acquiring a frame rate and a frame interval in the game running process at intervals of first preset time;
the step of counting to obtain the application running performance statistical result of the application according to the performance influence parameter of the application comprises the following steps:
according to the collected frame interval in the game running process, counting the average frame interval of the current game;
according to the collected frame rate in the game running process or in combination with the frame rate and the average frame interval, counting frame rate related parameters in the current game play, wherein the frame rate related parameters comprise one or more of the following parameters: frame rate standard deviation, low frame rate, percentage of continuously losing more than preset frame number and average frame rate;
and judging whether the current game is stuck according to the frame rate related parameters to obtain the stuck condition.
3. The application monitoring method according to claim 2, wherein the step of determining whether the application is stuck according to the frame rate related parameter includes:
judging whether one of the frame rate standard deviation, the occupation ratio of more than the continuous lost preset frame number and the low frame rate is greater than a corresponding preset threshold value or judging whether the average frame rate is less than the corresponding preset threshold value; if so, judging that the current game is stuck, otherwise, judging that the current game is not stuck.
4. The application monitoring method according to claim 2, wherein the step of obtaining the abnormal performance index of the application according to the application running performance statistic result comprises:
and calculating the abnormal chucking rate of the game according to the chucking condition, wherein the abnormal chucking rate is the game hand number with the chucking/the total game hand number.
5. The application monitoring method according to claim 4, wherein the step of drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index comprises:
and drawing and displaying a curve graph of the change of the abnormal stuck rate applied in the preset time period along with the time based on the abnormal stuck rate, or drawing and displaying a curve graph of the change of the abnormal stuck rate applied in the preset time period and the change of the average frame rate along with the time based on the abnormal stuck rate and the average frame rate.
6. The application monitoring method according to claim 2, wherein the application running performance statistics further includes a temperature rise condition, and the step of collecting the performance impact parameters of the application during the application running process further includes:
after the game is played, acquiring the temperature in the game running process at intervals of second preset time;
the step of counting to obtain the application running performance statistical result of the application according to the performance influence parameter of the application comprises the following steps:
and counting the collected temperature in the game running process, and judging whether the current game is heated or not to obtain the heating condition.
7. The application monitoring method according to claim 6, wherein the step of counting the collected temperature in the game running process and judging whether the current game is heated or not to obtain the heating condition comprises the steps of:
counting whether at least one of the collected temperatures exceeds a preset temperature threshold value within the time of the current game for game, if so, judging that the current game for game generates heat, otherwise, judging that the current game for game does not generate heat.
8. The application monitoring method according to claim 6, wherein the step of obtaining the abnormal performance index of the application according to the application running performance statistic result comprises:
and calculating the abnormal temperature rise rate of the game according to the heating condition, wherein the abnormal temperature rise rate is the game hand number with heating/total game hand number.
9. The application monitoring method according to claim 8, wherein the step of drawing and displaying an abnormal performance index display map of the application for a preset time period based on the abnormal performance index comprises:
and drawing and displaying a curve graph of the change of the abnormal temperature rise rate applied in the preset time period along with the time based on the abnormal temperature rise rate, or drawing and displaying a curve graph of the change of the abnormal temperature rise rate applied in the preset time period and the change of the average maximum temperature along with the time based on the abnormal temperature rise rate and the average maximum temperature.
10. The application monitoring method according to claim 2, wherein the application running performance statistics further includes a power consumption condition, and the step of collecting the performance impact parameters of the application during the application running process further includes:
after the game is played, collecting current in the game running process at an interval of third preset time;
the step of counting to obtain the application running performance statistical result of the application according to the performance influence parameter of the application comprises the following steps:
calculating to obtain the average current of the current game according to the collected current in the game running process;
and judging whether the current game of the game pair has abnormal power consumption according to the average current to obtain the abnormal power consumption condition.
11. The application monitoring method according to claim 10, wherein the step of determining whether the current game play is abnormal in power consumption according to the average current comprises:
and judging whether the average current is larger than a preset current threshold value, if so, judging that the power consumption of the current game is abnormal, otherwise, judging that the power consumption of the current game is not abnormal.
12. The application monitoring method according to claim 10, wherein the step of obtaining the abnormal performance index of the application according to the application running performance statistic result comprises:
and calculating the abnormal power consumption rate of the game according to the abnormal power consumption condition, wherein the abnormal power consumption rate is the game number with abnormal power consumption/total game number.
13. The application monitoring method according to claim 12, wherein the step of drawing and displaying an abnormal performance index display map of the application for a preset time period based on the abnormal performance index comprises:
and drawing and displaying a curve graph of the change of the abnormal power consumption rate applied in the preset time period along with the time based on the abnormal power consumption rate, or drawing and displaying a curve graph of the change of the abnormal power consumption rate applied in the preset time period and the change of the average current along with the time based on the abnormal power consumption rate and the average current.
14. An application monitoring method, characterized in that the application monitoring method comprises the steps of:
receiving an application running performance statistical result reported by a terminal, wherein the application running performance statistical result is obtained by the terminal according to the performance influence parameter statistics of the application collected in the application running process;
calculating to obtain an abnormal performance index of the application according to the application running performance statistical result;
and drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index.
15. The application monitoring method of claim 14, further comprising:
and early warning is carried out according to the abnormal performance indexes displayed by the abnormal performance index display graph.
16. An application monitoring method, characterized in that the application monitoring method comprises the steps of:
receiving performance influence parameters of the application in the running process of the application reported by a terminal;
counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application;
obtaining an abnormal performance index of the application according to the application running performance statistical result;
and drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index.
17. An application monitoring device, comprising:
the acquisition module is used for acquiring performance influence parameters of the application in the running process of the application;
the statistical module is used for counting and obtaining the application running performance statistical result of the application according to the performance influence parameters of the application;
the acquisition module is used for acquiring the abnormal performance index of the application according to the application running performance statistical result;
the display module is used for drawing and displaying an abnormal performance index display graph applied in a preset time period based on the abnormal performance index; or reporting the application running performance statistical result to a server, obtaining the abnormal performance index of the application by the server according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index.
18. An application monitoring device, comprising:
the receiving module is used for receiving an application running performance statistical result reported by a terminal, wherein the application running performance statistical result is obtained by the terminal according to the performance influence parameter statistics of the application collected in the application running process;
the calculation module is used for calculating and obtaining the abnormal performance index of the application according to the application running performance statistical result;
and the drawing and displaying module is used for drawing and displaying the abnormal performance index display graph applied in the preset time period based on the abnormal performance index.
19. An application monitoring device, comprising:
the parameter receiving module is used for receiving the performance influence parameters of the application in the running process of the application reported by the terminal;
the statistical module is used for counting and obtaining the application running performance statistical result of the application according to the performance influence parameters of the application;
the computing module is used for obtaining the abnormal performance index of the application according to the application running performance statistical result;
and the display module is used for drawing and displaying the abnormal performance index display graph applied in the preset time period based on the abnormal performance index.
20. An application monitoring system, comprising: the terminal station and with the server of terminal network communication connection, wherein:
the terminal is used for acquiring performance influence parameters of the application in the application running process; counting to obtain an application running performance statistical result of the application according to the performance influence parameters of the application;
the server is used for receiving the application running performance statistical result reported by the terminal, obtaining the abnormal performance index of the application according to the application running performance statistical result, and drawing and displaying the abnormal performance index display graph of the application in a preset time period based on the abnormal performance index.
21. A terminal device, characterized in that the terminal device comprises a memory, a processor and an application monitoring program stored on the memory and executable on the processor, the application monitoring program, when executed by the processor, implementing the steps of the application monitoring method according to any one of claims 1-13, or the steps of the application monitoring method according to claim 14 or 15, or the steps of the application monitoring method according to claim 16.
22. A computer readable storage medium, characterized in that an application monitoring program is stored on the computer readable storage medium, which application monitoring program, when executed by a processor, performs the steps of the application monitoring method according to any one of claims 1-13, or the steps of the application monitoring method according to claim 14 or 15, or the steps of the application monitoring method according to claim 16.
CN202011289990.7A 2020-11-17 2020-11-17 Application monitoring method, device, system, terminal equipment and storage medium Withdrawn CN112199260A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113181637A (en) * 2021-05-10 2021-07-30 上海幻电信息科技有限公司 Game playback method and system
CN113905249A (en) * 2021-09-30 2022-01-07 上海哔哩哔哩科技有限公司 Plug flow abnormity detection method and device
CN114115773A (en) * 2021-10-20 2022-03-01 杭州逗酷软件科技有限公司 Frame rate adjusting method and device, storage medium and terminal equipment
CN115391161A (en) * 2022-10-28 2022-11-25 荣耀终端有限公司 Log transmission method, device, system and storage medium

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113181637A (en) * 2021-05-10 2021-07-30 上海幻电信息科技有限公司 Game playback method and system
CN113181637B (en) * 2021-05-10 2024-04-16 上海幻电信息科技有限公司 Game playback method and system
CN113905249A (en) * 2021-09-30 2022-01-07 上海哔哩哔哩科技有限公司 Plug flow abnormity detection method and device
CN114115773A (en) * 2021-10-20 2022-03-01 杭州逗酷软件科技有限公司 Frame rate adjusting method and device, storage medium and terminal equipment
CN114115773B (en) * 2021-10-20 2024-06-07 杭州逗酷软件科技有限公司 Frame rate adjusting method, device, storage medium and terminal equipment
CN115391161A (en) * 2022-10-28 2022-11-25 荣耀终端有限公司 Log transmission method, device, system and storage medium

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