CN117827557A - Endurance test method, electronic device and storage medium - Google Patents
Endurance test method, electronic device and storage medium Download PDFInfo
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Abstract
The invention discloses a endurance test method, electronic equipment and a storage medium, wherein the endurance test method comprises the following steps: obtaining a cruising model, wherein the cruising model is obtained by training power consumption data of each power consumption unit of the intelligent terminal based on a user; and predicting predicted duration data of each power consumption unit through a duration model, and testing the intelligent terminal based on the predicted duration data of each power consumption unit to obtain a test result. By the method, the endurance model can be obtained based on the training of the actual use condition of each power consumption unit of the energy terminal by the user, so that the actual use condition of the user can be better simulated, and the reliability and accuracy of the prediction result are improved.
Description
Technical Field
The invention is applied to the technical field of terminal endurance test, in particular to a endurance test method, electronic equipment and a storage medium.
Background
Along with the wider and wider application range of the intelligent terminal, the requirement of the user on the battery performance of the intelligent terminal is also higher and higher, and the cruising ability of the intelligent terminal becomes a focus of great attention of the user.
In the test of the endurance model of the terminal, fixed time is often used for simulating the use condition of the user on the application, and the actual use habit and behavior of the user cannot be truly reflected.
Meanwhile, in the pressure test, an average distribution mode is generally adopted, flexible distribution cannot be carried out according to actual use conditions, and a test result may have a large difference from an actual use situation.
Disclosure of Invention
The invention provides a endurance test method, electronic equipment and a storage medium, which are used for solving the problem of inaccurate test of a endurance model.
In order to solve the technical problems, the invention provides a endurance test method, which comprises the following steps: obtaining a cruising model, wherein the cruising model is obtained by training power consumption data of each power consumption unit of the intelligent terminal based on a user; predicting predicted duration data of each power consumption unit through a duration model, and testing the intelligent terminal based on the predicted duration data of each power consumption unit to obtain a test result
The step of obtaining the endurance model comprises the following steps: acquiring electricity consumption data of each electricity consumption unit of a plurality of intelligent terminals, wherein the electricity consumption data comprise use duration and use electricity consumption data; and constructing and obtaining a cruising model based on the use duration of each power consumption unit and the use power consumption data.
The step of acquiring electricity consumption data of each electricity consumption unit of the plurality of intelligent terminals comprises the following steps: the method comprises the steps of responding to the starting of an intelligent terminal, and monitoring the starting time and the starting electric quantity, the ending time and the ending electric quantity of each power consumption unit; determining a use duration of the power consumption unit based on a difference between a start time and a corresponding end time of the power consumption unit; and determining usage electricity consumption data of the electricity consumption unit based on a difference between the starting electricity quantity and the corresponding ending electricity quantity of the electricity consumption unit.
The step of constructing a endurance model based on the use duration of each power consumption unit and the use power consumption data respectively comprises the following steps: calculating to obtain an average value of the use time length of each power consumption unit and an average value of the use power consumption data; and constructing and obtaining a cruising model based on the average value of the using time length of each power consumption unit and the average value of the using power consumption data.
The step of constructing a endurance model based on the use duration of each power consumption unit and the use power consumption data respectively comprises the following steps: correspondingly dividing the use time length and the use power consumption data of each power consumption unit into a training set and a testing set; constructing a cruising model based on the use duration of the training set and using the power consumption data; and correcting the cruising model by using the using time length of the test set and using the power consumption data until the cruising model with the trained training is obtained.
Wherein, each power consumption unit of intelligent terminal includes: application program, interface display item and interface display component item.
The step of predicting predicted endurance data of each power consumption unit through the endurance model comprises the following steps: generating a test script according to the predicted endurance data of each power consumption unit; testing the intelligent terminal by executing the test script to obtain test electricity consumption data of the intelligent terminal; and comparing the test electricity data with the predicted endurance data to obtain a test result.
The method comprises the steps of comparing test electricity data with predicted endurance data to obtain a test result, wherein the step of obtaining the test result comprises the following steps of: and updating the endurance model based on the test result.
In order to solve the above technical problems, the present invention provides an electronic device, including: the processor is used for executing program instructions stored in the memory to realize the endurance test method according to any one of the above.
To solve the above technical problem, the present invention provides a computer readable storage medium storing program data that can be executed to implement a endurance test method as any one of the above.
The beneficial effects of the invention are as follows: different from the situation in the prior art, the invention obtains the cruising model, wherein the cruising model is obtained by training the power consumption data of each power consumption unit of the intelligent terminal based on a user; the prediction duration data of each power consumption unit is predicted through the duration model, and the intelligent terminal is tested based on the prediction duration data of each power consumption unit to obtain a test result, so that the duration model is obtained based on the training of the actual use condition of each power consumption unit of the energy terminal by a user, the actual use condition of the user can be better simulated, the reliability and the accuracy of the prediction result are improved, the test result can be more fit to reflect the duration power consumption condition of the intelligent terminal under the use of the user, the follow-up duration optimization direction of the intelligent terminal is better guided, and the intelligent terminal is enabled to obtain the duration optimization effect which is more fit to the actual use condition of the user.
Drawings
Fig. 1 is a flow chart of an embodiment of a endurance test method according to the present invention;
fig. 2 is a flow chart of another embodiment of the endurance test method provided by the present invention;
FIG. 3 is a schematic diagram of an embodiment of an electronic device according to the present invention;
fig. 4 is a schematic structural diagram of an embodiment of a computer readable storage medium provided by the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and rear … …) are included in the embodiments of the present invention, the directional indications are merely used to explain the relative positional relationship, movement conditions, etc. between the components in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are correspondingly changed.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating an embodiment of a endurance testing method according to the present invention.
Step S11: and obtaining a cruising model, wherein the cruising model is obtained by training the power consumption data of each power consumption unit of the intelligent terminal based on a user.
The intelligent terminal can comprise any intelligent wireless terminal such as a mobile terminal, a notebook computer, a tablet, a sports bracelet, a telephone watch and the like. The endurance model is a model for predicting the endurance time of each power consumption unit of the intelligent terminal.
The cruising model is obtained by training the electricity consumption data of each electricity consumption unit of the intelligent terminal based on a user. That is, the endurance model of the embodiment is obtained by training the actual use condition of each power consumption unit of the energy terminal based on the user, so that the actual use condition of the user can be better simulated, and the reliability and accuracy of the prediction result can be improved.
In a specific application scenario, a updated endurance model after the last endurance test may also be obtained.
Step S12: and predicting predicted duration data of each power consumption unit through a duration model, and testing the intelligent terminal based on the predicted duration data of each power consumption unit to obtain a test result.
After the endurance model is obtained, predicting predicted endurance data of each power consumption unit through the endurance model, and testing the intelligent terminal based on the predicted endurance data of each power consumption unit to obtain a test result.
Because the actual service condition of the user can be better simulated by the duration model, the intelligent terminal is tested based on the predicted duration data capable of better simulating the actual service condition of the user, the actual service condition of the intelligent terminal can be more closely simulated by the user, further the test result can be more closely reflected on the duration power consumption condition of the intelligent terminal under the use of the user, further the follow-up duration optimization direction of the intelligent terminal is better guided, and the intelligent terminal obtains the duration optimization effect more closely fitted with the actual service condition of the user.
Through the steps, the endurance test method of the embodiment obtains the endurance model, wherein the endurance model is obtained by training the power consumption data of each power consumption unit of the intelligent terminal based on the user; the prediction duration data of each power consumption unit is predicted through the duration model, and the intelligent terminal is tested based on the prediction duration data of each power consumption unit to obtain a test result, so that the duration model is obtained based on the training of the actual use condition of each power consumption unit of the energy terminal by a user, the actual use condition of the user can be better simulated, the reliability and the accuracy of the prediction result are improved, the test result can be more fit to reflect the duration power consumption condition of the intelligent terminal under the use of the user, the follow-up duration optimization direction of the intelligent terminal is better guided, and the intelligent terminal is enabled to obtain the duration optimization effect which is more fit to the actual use condition of the user.
Referring to fig. 2, fig. 2 is a flow chart of another embodiment of the endurance testing method according to the present invention.
Step S21: and acquiring electricity consumption data of each electricity consumption unit of the plurality of intelligent terminals, wherein the electricity consumption data comprises the use duration and the use electricity consumption data.
And counting the electricity consumption data of each electricity consumption unit in the intelligent terminal. The power consumption unit refers to any unit in which power consumption occurs in the intelligent terminal, and specifically includes any power consumption item such as an application, an interface display item (activity), and an interface display component item (Fragment). activity is a core component in Android applications that represents a single screen of a user interface. The Fragment is part of the activity and may be included in the activity.
And acquiring the electricity consumption data of each electricity consumption unit in the intelligent terminal through the big data, so that all electricity consumption items of the intelligent terminal are comprehensively counted, the electricity consumption data can comprehensively reflect the use condition of a user on the intelligent terminal, and the reliability and accuracy of the electricity consumption data serving as training samples are improved.
The electricity consumption data comprise the use duration and the use electricity consumption data. In a specific application scenario, in response to the start of the intelligent terminal, monitoring the starting time and the starting electric quantity, the ending time and the ending electric quantity of each power consumption unit; determining a use duration of the power consumption unit based on a difference between a start time and a corresponding end time of the power consumption unit; and determining usage electricity consumption data of the electricity consumption unit based on a difference between the starting electricity quantity and the corresponding ending electricity quantity of the electricity consumption unit. The data statistics accuracy is improved through the electricity consumption data collection method, so that training accuracy based on a subsequent continuous model is enabled to be more fit with the use habit of a user, and accuracy and timeliness of continuous model on continuous electric quantity estimation are improved.
Step S22: and constructing and obtaining a cruising model based on the use duration of each power consumption unit and the use power consumption data.
In a specific application scenario, the use habit of the user of each intelligent terminal is synthesized by calculating the average value of the use duration of each power consumption unit and the average value of the use power consumption data, and then a cruising model is constructed based on the average value of the use duration of each power consumption unit and the average value of the use power consumption data.
In a specific application scenario, the use duration and the use power consumption data of each power consumption unit can be correspondingly divided into a training set and a testing set; constructing a cruising model based on the use duration of the training set and using the power consumption data; and correcting the cruising model by using the using time length of the test set and using the power consumption data until the cruising model with the trained training is obtained. The specific construction method of the endurance model is not limited herein.
Step S23: and predicting predicted duration data of each power consumption unit through a duration model, and generating a test script according to the predicted duration data of each power consumption unit.
The predicted duration data comprises the predicted duration of each power consumption unit of the intelligent terminal and the use power consumption data of the duration model.
And generating a test script according to the predicted duration data of each power consumption unit, namely generating the test script of the intelligent terminal based on the predicted use duration and the power consumption data.
Step S24: and testing the intelligent terminal by executing the test script to obtain test electricity consumption data of the intelligent terminal.
And testing the intelligent terminal by executing the test script and predicting the use duration of each power consumption unit of the intelligent terminal by the endurance model to obtain test power consumption data of the intelligent terminal.
The test electricity data includes usage electricity consumption data of each electricity consumption unit for a predicted usage time period.
Step S25: and comparing the test electricity data with the predicted endurance data to obtain a test result.
Comparing the predicted consumption data of the endurance model with the consumption data of the test consumption data, and determining the difference between the consumption data and the test consumption data as a test result.
Step S26: and updating the endurance model based on the test result.
Based on the difference between the test electricity data and the predicted endurance data, the endurance model is updated to further improve the reliability and accuracy of the endurance model.
And a cruising model is built based on electricity consumption data of each electricity consumption unit of a plurality of intelligent terminals, so that more real, accurate and efficient automatic test of the cruising model can be realized. Meanwhile, the test script is automatically generated and the test time is flexibly distributed, so that the test efficiency can be improved, and the test resources are saved.
The updated endurance model can be used for subsequent endurance tests, so that the subsequent endurance tests do not need to reconstruct the endurance model, and the endurance model can be further updated based on the subsequent endurance tests. The actual use condition of the user can be better simulated by adjusting the endurance model in real time, and the credibility and accuracy of the test result are improved.
In a specific application scenario, the endurance test method of the embodiment may be implemented by software, and includes a statistics module, an endurance model generation module, an automatic test script generation module, a test execution module, a result update module, and the like. The system comprises a statistics module, a continuous model generation module, an automatic test script generation module, a test execution module, a result updating module and a test result updating module, wherein the statistics module is used for counting the electricity consumption data of each electricity consumption unit of the intelligent terminal in real time, the continuous model generation module generates a continuous model according to the electricity consumption data, the automatic test script generation module automatically generates a test script according to the continuous model, the test execution module is used for executing the test script and acquiring a test result, and the result updating module is used for updating the continuous model according to the test result.
According to the method for testing the endurance of the intelligent terminal, the endurance model is built based on the use time length and the use power consumption data of each power consumption unit of the plurality of intelligent terminals respectively through the obtained power consumption data of each power consumption unit, the prediction endurance data of each power consumption unit is predicted through the endurance model, the test script is generated according to the prediction endurance data of each power consumption unit, the intelligent terminal is tested through executing the test script, the test power consumption data of the intelligent terminal is obtained, finally the test power consumption data and the prediction endurance data are compared, the test result is obtained, the endurance model can be obtained through training based on the actual use condition of each power consumption unit of the intelligent terminal by a user, so that the actual use condition of the user can be better simulated, the reliability, the accuracy and the authenticity of the prediction result can be improved, the test result can be more fit to reflect the endurance condition of the intelligent terminal under the use condition of the user, further the follow-up endurance optimization direction of the intelligent terminal can be better guided, and the intelligent terminal can be more fit to the actual use condition of the user.
Based on the same inventive concept, the present invention also provides an electronic device capable of being executed to implement the endurance test method of any one of the above embodiments, referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of the electronic device provided by the present invention, where the electronic device includes a processor 31 and a memory 32.
The processor 31 is configured to execute program instructions stored in the memory 32 to implement the steps of any of the endurance testing methods described above. In one particular implementation scenario, an electronic device may include, but is not limited to: the microcomputer and the server, and the electronic device may also include mobile devices such as a notebook computer and a tablet computer, which are not limited herein.
In particular, the processor 31 is adapted to control itself and the memory 32 to implement the steps of any of the embodiments described above. The processor 31 may also be referred to as a CPU (Central Processing Unit ). The processor 31 may be an integrated circuit chip with signal processing capabilities. The processor 31 may also be a general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a Field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, the processor 31 may be commonly implemented by an integrated circuit chip.
According to the scheme, the test result can be more fit to reflect the power consumption condition of the intelligent terminal in the use of the user, so that the optimization direction of the subsequent continuous voyage of the intelligent terminal is better guided.
Based on the same inventive concept, the present invention also provides a computer readable storage medium, please refer to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of the computer readable storage medium provided by the present invention. At least one program data 41 is stored in the computer readable storage medium 40, the program data 41 being for implementing any of the methods described above. In one embodiment, computer-readable storage medium 40 comprises: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In the several embodiments provided in the present invention, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on this understanding, the technical solution of the invention, in essence or a part contributing to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium.
The foregoing is only the embodiments of the present invention, and therefore, the patent scope of the invention is not limited thereto, and all equivalent structures or equivalent processes using the descriptions of the present invention and the accompanying drawings, or direct or indirect application in other related technical fields, are included in the scope of the invention.
If the technical scheme of the application relates to personal information, the product applying the technical scheme of the application clearly informs the personal information processing rule before processing the personal information, and obtains independent consent of the individual. If the technical scheme of the application relates to sensitive personal information, the product applying the technical scheme of the application obtains individual consent before processing the sensitive personal information, and simultaneously meets the requirement of 'explicit consent'. For example, a clear and remarkable mark is set at a personal information acquisition device such as a camera to inform that the personal information acquisition range is entered, personal information is acquired, and if the personal voluntarily enters the acquisition range, the personal information is considered as consent to be acquired; or on the device for processing the personal information, under the condition that obvious identification/information is utilized to inform the personal information processing rule, personal authorization is obtained by popup information or a person is requested to upload personal information and the like; the personal information processing rule may include information such as a personal information processor, a personal information processing purpose, a processing mode, and a type of personal information to be processed.
The foregoing is only the embodiments of the present invention, and therefore, the patent scope of the invention is not limited thereto, and all equivalent structures or equivalent processes using the descriptions of the present invention and the accompanying drawings, or direct or indirect application in other related technical fields, are included in the scope of the invention.
Claims (10)
1. The endurance test method is characterized by comprising the following steps of:
obtaining a continuous voyage model, wherein the continuous voyage model is obtained based on training of electricity consumption data of each electricity consumption unit of the intelligent terminal by a user;
and predicting predicted duration data of each power consumption unit through the duration model, and testing the intelligent terminal based on the predicted duration data of each power consumption unit to obtain a test result.
2. The method of claim 1, wherein the step of obtaining a endurance model comprises:
acquiring electricity consumption data of each electricity consumption unit of a plurality of intelligent terminals, wherein the electricity consumption data comprise use duration and use electricity consumption data;
and respectively constructing and obtaining the cruising model based on the use duration of each power consumption unit and the use power consumption data.
3. The endurance test method according to claim 2, wherein the step of acquiring electricity consumption data of each electricity consumption unit of the plurality of intelligent terminals includes:
the intelligent terminal is started, and the starting time, the starting electric quantity, the ending time and the ending electric quantity of each power consumption unit are monitored;
determining a usage duration of the power consumption unit based on a difference between a start time and a corresponding end time of the power consumption unit; and
and determining the use power consumption data of the power consumption unit based on the difference value between the initial power consumption unit and the corresponding final power consumption unit.
4. The endurance test method according to claim 2, wherein the step of constructing the endurance model based on the usage time period of each of the power consumption units and the usage power consumption data, respectively, includes:
calculating an average value of the use time length of each power consumption unit and an average value of the use power consumption data;
and constructing and obtaining the cruising model based on the average value of the using time length of each power consumption unit and the average value of the using power consumption data.
5. The endurance test method according to claim 2, wherein the step of constructing the endurance model based on the usage time period of each of the power consumption units and the usage power consumption data, respectively, includes:
correspondingly dividing the use duration and the use power consumption data of each power consumption unit into a training set and a testing set;
constructing a cruising model based on the use duration of the training set and using power consumption data;
and correcting the cruising model by using the using time length of the test set and using the power consumption data until a cruising model with the trained training is obtained.
6. The endurance test method of claim 1, wherein each power consumption unit of the intelligent terminal includes: application program, interface display item and interface display component item.
7. The method according to claim 1, wherein the step of predicting predicted endurance data of each power consumption unit by the endurance model includes:
generating a test script according to the predicted endurance data of each power consumption unit;
testing the intelligent terminal by executing the test script to obtain test electricity consumption data of the intelligent terminal;
and comparing the test electricity consumption data with the predicted endurance data to obtain the test result.
8. The method of claim 7, wherein the step of comparing the test electricity data with the predicted endurance data to obtain the test result comprises:
and updating the endurance model based on the test result.
9. An electronic device, the electronic device comprising: a memory and a processor coupled to each other, the processor configured to execute program instructions stored in the memory to implement the endurance test method as claimed in any one of claims 1 to 8.
10. A computer-readable storage medium storing program data executable to implement the endurance test method according to any one of claims 1 to 8.
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